LongBench v2 / 66fa8ccdbb02136c067c6fa7 / For the "Hippie Jam Fest 2005" event mentioned in the document, if the type of…

Timestamp,Alias,What is your Major?,"Please, tell me about yourself. What interest you? Do you have any hobbies?",How would you rate your Information Visualization skills?,How would you rate your statistical skills?,How would you rate your mathematics skills?,How would you rate your drawing and artistic skills?,How would you rate your computer usage skills?,How would you rate your programming skills?,How would you rate your computer graphics programming skills?,How would you rate your human-computer interaction programming skills?,How would you rate your user experience evaluation skills?,How would you rate your communication skills?,How would you rate your collaboration skills?,How would you rate your code repository skills?
1/14/2020 12:48:24,Hannah Abbott ,Graphic Design,"Friendly and approachable. Have an easy time for understanding smaller details. Game Design have been my specific interest for the last few years, have done a bit of game dev myself. My main hobbies (outside of game dev) at the moment are acting and dancing.",4,3,3,4,10,4,6,4,3,6,10,6
1/14/2020 17:07:56,Ludo Bagman ,Information and Network Engineering (mention in Multimedia Analysis),"My main general interest is music. Recently I have been reading a book with a lot of data representations and it reminded me that data visualization is something I would like to learn more about (also because I like design). My main technical interest is multimedia processing because I like applied maths and multimedia analysis (originally I started my bachelor because of audio, but now I actually prefer image).",4,8,6,4,7,6,4,4,1,10,5,9
1/14/2020 21:09:58,Bathilda Bagshot ,"Computer Science, Human-Computer Interaction, Media Technology","Travel, admire landscapes, photography, understand mass and companies market choices (e.g. The real reasons why Instagram hides ""likes"" number on its app, thy people love a certain brand and what it gives to them), UI design, understand user needs and experience, slow reading, free climbing, play electric bass guitar, manage a summer camp and be involved as an entertainer.",3,2,3,4,8,6,1,4,3,6,10,5
1/15/2020 10:54:13,Katie Bell ,Computer Science,"I've been a software developer for about 12 years, and I'm looking to make a career change into more research related work. I am also a martial artist and an (almost) certified martial arts instructor, and a mediocre bass and guitar player.",8,3,6,6,8,10,5,5,4,4,4,8
1/15/2020 13:28:41,Cuthbert Binns,Computer Science,"Gaming, Reddit, Instagram, CrossFit",6,5,6,4,9,8,8,6,4,7,7,8
1/15/2020 15:44:03,Phineas Nigellus Black,Media Technology,"Movies, music, gym (going to the supermarket) ",3,5,6,1,7,7,1,3,4,7,8,2
1/15/2020 16:46:55,Sirius Black,Media Technology,"Movies, games, cooking",2,3,5,4,7,4,1,2,3,5,5,3
1/15/2020 17:04:14,Amelia Bones ,"Human-Computer Interaction, Media Technology","I love playing computer games my favorite game is Cities skyline, close followed by Dota 2. I love UX-design, and smart solutions within the design. I wish I was the one who invented the green button on the phone when you want to call some one. I have worked mostly with web pages and apps. I also work part time for the Sas Scandinavian Airlines were I help them gater and present data from there big database in a way that makes sense and can easily be understood and I love it. My main tool at work is power bi, sql and excel",5,3,7,2,9,4,1,3,4,9,7,7
1/15/2020 17:12:57,Susan Bones ,Media Technology,"Sports, stock, software development, business",3,4,4,5,9,6,3,5,4,7,8,5
1/15/2020 17:14:24,Terry Boot,Computer Science,Game development,1,3,5,7,9,6,1,4,3,7,8,8
1/15/2020 17:27:37,Lavender Brown,"Human-Computer Interaction, Media Technology","I like to program in general, especially front end. On my spare time I go to the gym and hang with friends. ",2,2,4,5,5,5,1,3,2,7,8,3
1/15/2020 17:30:22,Millicent Bulstrode,Media Technology,"My main interest is music, as a hobby I regularly play with a swing orchestra. I'm also interested in how far technology can reach in making people interact with it and how people can interact among themselves using technology, hence my decisione to join a interactive technology related faculty.",3,1,6,5,5,2,4,3,4,6,4,1
1/15/2020 17:31:19,Charity Burbage,Media Technology,"I like painting with oil and acrylics. I work as an app developer but Will finish my masters anyway. The app I am working with is mostly about visualising data, with d3 for instance. Looking forward to become better at it",5,3,4,8,8,7,1,4,4,7,8,8
1/15/2020 17:37:47,Frank Bryce,"Human-Computer Interaction, Media Technology",I like programming especially front-end! ,2,2,4,1,5,5,1,3,3,8,8,2
1/15/2020 17:43:44,Alecto Carrow,Computer Science,"Game development, figure skating, playing games",4,5,8,4,9,7,5,4,3,9,4,7
1/15/2020 17:45:59,Amycus Carrow,Computer Science,"I like art, painting, drawing and work with Photoshop in my spare time. I want to learn more programming, especially JavaScript at the moment. ",5,1,5,9,9,5,5,5,5,10,10,5
1/15/2020 17:49:32,Reginald Cattermole,Human-Computer Interaction,My interests are design(in all forms and shapes) and dancing :),2,4,5,7,10,7,6,6,8,10,10,5
1/15/2020 18:27:24,Mary Cattermole ,Computer Science,"I like programming, especially web programming. I am also into sports and nutrition.",2,2,4,1,6,5,1,4,2,10,7,9
1/15/2020 18:45:35,Cho Chang ,Media Technology,"Photography, kick-boxing, craft beer:)",4,2,5,1,7,5,5,5,3,8,8,6
1/15/2020 19:25:14,Penelope Clearwater ,Media Technology,I like to analyse data and present them in visually interesting ways. I read books and news articles. ,2,4,2,4,5,5,2,2,4,8,5,3
1/16/2020 10:53:16,Michael Corner,"Human-Computer Interaction, Media Technology","I love to work out, eat good food and skiing, among other things. I'm mostly interested in design at a higher level, service- and concept design in relation to sustainability. ",2,6,5,7,4,1,1,2,8,10,9,7
1/16/2020 10:59:45,Vincent Crabbe,"Human-Computer Interaction, Graphic Design",Fitness / Hiking / Guitar,3,3,7,3,7,3,1,3,1,7,10,6
1/16/2020 12:28:31,Colin Creevey,"Mathematics, Statistics",I am super interested in data and how it can be used to find underlying trends and patterns. I am also interested in environmental issues and equality questions. When it comes to hobbies I enjoy hiking and adventures in nature as well as traveling and taking care of my plants. Food is also a huge interest for me.,4,7,7,6,7,5,2,2,3,9,9,2
1/16/2020 14:15:24,Fleur Delacour ,Computer Science,Interested in making computer games.,2,7,7,9,9,8,4,9,8,9,9,9
1/16/2020 14:21:15,Amos Diggory,Visual Computing,"movies & tv, travelling, geography, science, art",6,5,6,1,7,7,8,7,9,9,6,7
1/16/2020 15:19:18,Albus Dumbledore,Media Technology,"My main interests outside of school are cooking, music (consuming, I'm not talented enough to create), and reading. I occasionally play video games or exercise, but they're not really ""passions""",5,8,8,1,7,5,1,5,7,9,8,8
1/16/2020 15:36:07,Seamus Finnigan,Computer Science,"I'm interested in pretty much everything relating to the brain, cognition, and consciousness: neuroscience, philosophy, psychology, information technology. I spend most of my free time on nurturing these interests. I also like to listen to a lot of music (mostly hip hop) and sometimes play the piano.",3,3,7,3,8,7,2,4,2,8,7,6
1/16/2020 15:41:57,Marcus Flint,Media Technology,"From a career perspective, I am interested in UX design and frontend development. Art is a hobby. ",2,2,5,8,6,4,1,3,2,10,6,6
1/16/2020 15:43:19,Filius Flitwick ,Computer Science,,5,7,7,6,8,8,5,7,7,9,9,9
1/16/2020 16:20:08,Cornelius Fudge,Computer Science,I like machine learning and programming. I am interested in being active and powerlifting. ,1,8,4,3,8,7,3,1,1,4,5,7
1/16/2020 16:53:39,Gellert Grindelwald ,Media Technology,"I like to create stuff. It’s the process and problem solving that I find interesting. Medium, tools or purpose doesn't really matter.",3,2,4,8,7,3,1,3,3,3,4,5
1/16/2020 23:04:05,Godric Gryffindor ,Media Technology,,2,3,5,6,10,5,3,2,7,7,3,2
1/17/2020 11:08:25,Rubeus Hagrid ,"Computer Science, Transport Science/Systems","Urban mobility, spatio-temporal clustering, visualization, family",6,7,6,6,6,7,4,4,2,4,4,3
1/17/2020 11:13:15,Rolanda Hooch ,Computer Science,"My hobbies include: playing  music: both guitar and piano, anime, videogames. ",5,4,5,5,6,6,2,4,6,10,8,9
1/17/2020 14:04:37,Helga Hufflepuff,Media Technology,"I am interested in music and play the piano, guitar, bass and sing. I have now started to translate this to media technology by learning about sound and music interaction through technology. I'm also a smart home enthusiast and have started to make my home smart, starting with lights and switches. ",4,5,6,3,7,6,2,6,5,8,8,7
1/17/2020 14:06:20,Hermione Granger,Media Technology,Music and sound production,2,5,5,1,7,4,2,5,8,7,9,5
1/17/2020 15:24:36,Igor Karkaroff ,Computer Science,"New topics interest me. Before I began studying Design I studied Computer Science; before that I studied Latin and Classical Civilizations. My favorite hobby is to find new hobbies - I have done a plethora of things including piano, archery, magic, massage, and dance.",1,2,5,6,8,6,1,1,4,9,10,6
1/17/2020 17:35:59,Viktor Krum,Media Technology,Front end developing and web design ,6,4,5,6,6,7,4,4,6,7,6,7
1/17/2020 17:55:51,Silvanus Kettleburn ,"Media Technology, ICT","Music, Art, Animals, Human rights, Environmental issues",4,3,4,5,5,4,2,2,5,10,6,6
1/17/2020 19:09:44,Bellatrix Lestrange,Human-Computer Interaction,"I will be attracted by some creative ideas. I'm always searching for the newest, most interesting and unique products. I'm curious about the world and want to experience a lot of things in my life, such as parachute jumping and some other exciting sports.",5,5,7,6,8,2,2,3,4,7,8,7
1/17/2020 23:04:23,Neville Longbottom,Media Technology,I like hanging out with friend and perhaps do some activity of some sort or play video games is a lot of fun. I also have a dog which includes long walks which I think is very nice. ,3,4,5,5,6,5,5,5,4,7,7,3
1/18/2020 0:28:48,Xenophilius Lovegood ,Media Technology,"I interested in music and something looks funny. I love singing, doing some sports and traveling.",4,3,7,5,8,8,2,4,5,9,7,5
1/18/2020 13:04:08,Remus Lupin,Media Technology,"art, climbing, creative realization of hci",3,1,4,6,9,6,4,8,7,3,6,5
1/18/2020 15:11:33,Draco Malfoy,Media Technology,"Basketball, Formula 1, travelling, photography, reading, JRR Tolkien",8,3,5,5,8,7,5,6,6,10,8,8
1/18/2020 17:33:00,Ernie Macmillan,Human-Computer Interaction,"I am passionate about technology and self improvement. I meditate regularly.
In my free time I work out (gym and calisthenics), go running. I also enjoy reading.",3,4,1,1,10,10,2,1,8,5,8,9
1/19/2020 11:14:40,Minerva McGonagall,Media Technology,"Photography and design (interior, clothing, digital)",7,3,4,8,8,6,4,7,8,9,9,9
1/19/2020 12:22:38,Cormac McLaggen,Media Technology,"Music, movies, design, audio",2,5,3,3,3,2,1,1,7,7,8,4
1/19/2020 12:43:56,Graham Montague,"Graphic Design, Product Design","photography, videography, technology, science, arts, music, analog photography, basket, football, books, computers, make things ",3,4,6,8,8,2,1,3,7,9,10,3
1/19/2020 15:16:26,Theodore Nott,Computer Science,"Computer games, music, snowboarding, nature, and more.",4,5,5,8,8,6,4,4,3,6,7,9
1/19/2020 16:16:48,Garrick Ollivander ,Media Technology,"I'm interested in how we can use technology in order to live more environmentally sustainable. My non-study related hobbies are cooking, reading, and spinning. ",1,4,6,3,8,5,1,2,7,9,9,7
1/19/2020 16:25:18,Pansy Parkinson,Media Technology,"Videogames, boardgames, training, volleyball, painting, editing ",8,8,7,7,9,8,8,6,6,8,9,6
1/19/2020 16:57:12,Peter Pettigrew ,Media Technology,"I would say my largest interest/hobby is movies, both new and old. Other than that I am also interested in plants and trying new things with my friends. ",4,5,6,2,6,3,3,3,8,10,8,4
1/19/2020 17:09:07,Antioch Peverell,Media Technology,"* I'm studying my forth year at KTH
* I have chosen the route of sustainable media technology in my bachelors
* therefore been exposed more to humanities- than programming oriented courses
* Deeply interested in Sustainability issues
* interested in how to communicate data on sustainability efficiently",1,3,3,5,4,1,1,1,6,8,7,3
1/19/2020 17:28:43,Irma Pince,Media Technology,"Cats, TV series",4,8,5,10,9,3,1,3,7,6,8,1
1/19/2020 18:20:03,Sturgis Podmore ,Media Technology,"In terms of possible professional areas, I'm interested in news communication/reporting, free speech issues, language, streaming services, assistive technologies and most things relating to food.
In my spare time, I browse various Youtube content, play video games, listen to music (preferring progressive, psychedelic and folk rock) and hunt down the best grocery bargains.",2,2,3,3,4,1,1,2,3,7,7,2
1/19/2020 20:05:46,Poppy Pomfrey ,Computer Science,"Creating stuff, listening to music, and dancing.",5,4,5,3,7,7,3,4,4,8,8,3
1/19/2020 20:16:04,Harry Potter ,Media Technology,,4,3,7,2,8,2,3,3,3,3,8,2
1/19/2020 21:44:50,James Potter ,Human-Computer Interaction,"I'm an exchange student from the Eindhoven University of Technology. I'm enrolled in the master program called HTI - Human Technology Interaction. I'm driven by shaping innovative designs so that they could solve currently existing, or future problems for society. My hobbies are skiing, windsurfing, and drawing.",4,8,3,8,5,1,3,4,8,7,7,2
1/19/2020 22:13:53,Lily Potter,Media Technology,"Music, Fashion, Sports",4,6,5,6,6,3,4,4,7,8,9,2
1/19/2020 22:20:37,Quirinus Quirrell,Computer Science,"Photography, computer games, game development",6,2,7,8,9,7,7,7,3,7,7,6
1/19/2020 22:41:14,Helena Ravenclaw,Computer Science,,7,7,8,8,7,5,5,6,6,7,5,5
1/19/2020 22:51:57,Rowena Ravenclaw,Computer Science,"I like listening to music and DJing. Movies, TV-shows, football (soccer) interest me.",6,3,4,5,8,6,2,6,6,7,3,5
1/19/2020 23:04:26,Tom Marvolo Riddle,Media Technology,"23 years old from Sweden, lived in Portugal for a year working with marketing. My hobbies include beauty and ice hockey. I am interested in developing my programming skills.",3,3,5,5,8,5,2,3,5,10,10,5
1/19/2020 23:57:31,Demelza Robins ,Computer Science,"Every lesson of computer science attracted my attention. I have many hobbies like running, , traveling, professional photography, watching movies and TV series, reading books, recording music, playing guitar etc.",3,6,6,4,10,7,5,5,5,8,9,8

"DataType","WorkflowType","Group","Key","Value"
"Questions","ECMMon","Which seed model to use","TypePattern","_String"
"Questions","ECMMon","Which seed model to use","Threshold",0.35
"Questions","ECMMon","Which seed model to use","Parameter","model"
"Questions","ECMMon","Which seed model to use","ContextWordsToRemove","{""base"", ""model"", ""seed"", ""simulate"", ""simulation""}"
"Questions","ECMMon","Which base model to use","TypePattern","_String"
"Questions","ECMMon","Which base model to use","Threshold",0.35
"Questions","ECMMon","Which base model to use","Parameter","model"
"Questions","ECMMon","Which base model to use","ContextWordsToRemove","{""base"", ""model"", ""seed"", ""simulate"", ""simulation""}"
"Questions","ECMMon","How many simulation days","TypePattern","_Integer"
"Questions","ECMMon","How many simulation days","Threshold",0.35
"Questions","ECMMon","How many simulation days","Parameter","ndays"
"Questions","ECMMon","How many simulation days","ContextWordsToRemove","{""days"", ""many"", ""number"", ""simulate"", ""simulation""}"
"Questions","ECMMon","How many days","TypePattern","_Integer"
"Questions","ECMMon","How many days","Threshold",0.35
"Questions","ECMMon","How many days","Parameter","ndays"
"Questions","ECMMon","How many days","ContextWordsToRemove","{""days"", ""many"", ""number""}"
"Questions","ECMMon","What number of days","TypePattern","_Integer"
"Questions","ECMMon","What number of days","Threshold",0.35
"Questions","ECMMon","What number of days","Parameter","ndays"
"Questions","ECMMon","What number of days","ContextWordsToRemove","{""days"", ""many"", ""number""}"
"Questions","ECMMon","What is the contact rate","TypePattern","_?NumberQ"
"Questions","ECMMon","What is the contact rate","Threshold",0.35
"Questions","ECMMon","What is the contact rate","Parameter","contactRate"
"Questions","ECMMon","What is the contact rate","ContextWordsToRemove","{""contact"", ""rate""}"
"Templates","ECMMon","Python","Template","TemplateObject[{""\nobj = ECMMonUnit( model = "", TemplateSlot[""model""], ""Model())\nobj = ECMMonAssignInitialConditions( ecmObj = obj, initConds = [SPt = 100000])\nobj = ECMMonAssignInitialConditions( ecmObj = obj, initConds = [INSPt = 0])\nobj = ECMMonAssignInitialConditions( ecmObj = obj, initConds = [ISSPt = 1])\nobj = ECMMonAssignRateValues( ecmObj = obj, rateValues = [contactRateINSP = "", TemplateSlot[""contactRate""], ""])\nobj = ECMMonAssignRateValues( ecmObj = obj, rateValues = [contactRateISSP = "", TemplateSlot[""contactRate""], ""])\nobj = ECMMonSimulate( ecmObj = obj, maxTime = "", TemplateSlot[""ndays""], "")\nprint(obj)\nobj = ECMMonPlotSolutions( ecmObj = obj, stocksSpec = \"".*Population\"")""}, CombinerFunction -> StringJoin, InsertionFunction -> TextString]"
"Templates","ECMMon","R","Template","TemplateObject[{""ecmObj <- ECMMonUnit( model = "", TemplateSlot[""model""], ""Model()) %>%\nECMMonAssignInitialConditions( initConds = c(SPt = 100000) ) %>%\nECMMonAssignInitialConditions( initConds = c(INSPt = 0) ) %>%\nECMMonAssignInitialConditions( initConds = c(ISSPt = 1) ) %>%\nECMMonAssignRateValues( rateValues = c(contactRateINSP = "", TemplateSlot[""contactRate""], "") ) %>%\nECMMonAssignRateValues( rateValues = c(contactRateISSP = "", TemplateSlot[""contactRate""], "") ) %>%\nECMMonSimulate(maxTime = "", TemplateSlot[""ndays""], "") %>%\nECMMonEchoValue() %>%\nECMMonPlotSolutions( stocksSpec = \"".*Population\"")""}, CombinerFunction -> StringJoin, InsertionFunction -> TextString]"
"Templates","ECMMon","WL","Template","TemplateObject[{""ecmObj = ECMMonUnit["", TemplateSlot[""model""], ""Model[t]]⟹\nECMMonAssignInitialConditions[<|SP[0] -> 100000|>]⟹\nECMMonAssignInitialConditions[<|INSP[0] -> 0|>]⟹\nECMMonAssignInitialConditions[<|ISSP[0] -> 1|>]⟹\nECMMonAssignRateRules[<|β[INSP] -> "", TemplateSlot[""contactRate""], ""|>]⟹\nECMMonAssignRateRules[<|β[ISSP] -> "", TemplateSlot[""contactRate""], ""|>]⟹\nECMMonSimulate[\""MaxTime\"" -> "", TemplateSlot[""ndays""], ""]⟹\nECMMonEchoValue[]⟹\nECMMonPlotSolutions[ \""Stocks\"" -> __ ~~ \""Population\""];""}, CombinerFunction -> StringJoin, InsertionFunction -> TextString]"
"Defaults","ECMMon","All","model","SEI2R"
"Defaults","ECMMon","All","ndays",12
"Defaults","ECMMon","All","contacRate","0.8"
"Shortcuts","ECMMon","All","ECMMon","ECMMon"
"Shortcuts","ECMMon","All","EpidemiologicModeling","ECMMon"
"Shortcuts","ECMMon","All","EpidemiologyModeling","ECMMon"


Namespace,Type,Method,LOC,CC,PC
AsyncFunctions,ArrayResizer,Resize,4,1,1
AsyncFunctions,ArrayResizer,Resize,18,3,2
AsyncFunctions,ArrayResizer,EnqueueResize,4,1,3
AsyncFunctions,ArrayResizer,DoResizing,6,2,0
AsyncFunctions,ArrayResizer,DoResize,56,4,1
AsyncFunctions,ArrayResizerTest,MakeArray,11,3,2
AsyncFunctions,ArrayResizerTest,MakeArrayAndResize,5,1,2
AsyncFunctions,AsyncTestAddIn,AutoOpen,3,1,0
AsyncFunctions,AsyncTestAddIn,AutoClose,2,1,0
AsyncFunctions,MyFunctions,WhatTimeIsIt,3,1,0
AsyncFunctions,MyFunctions,WhatTimeIsItEx,3,1,1
AsyncFunctions,RxTest,rxReturn,4,1,1
AsyncFunctions,RxTest,rxEmpty,4,1,0
AsyncFunctions,RxTest,rxNever,4,1,0
AsyncFunctions,RxTest,rxThrow,4,1,0
AsyncFunctions,RxTest,rxCreateTimer,12,1,1
AsyncFunctions,RxTest,rxInterval,4,1,1
AsyncFunctions,RxTest,rxTimerWaitInterval,4,1,1
AsyncFunctions,RxTest,rxTimerWaitUntil,4,1,1
AsyncFunctions,RxTest,rxCreateValues,9,1,0
AsyncFunctions,RxTest,rxCreateValuesPerCaller,10,1,1
AsyncFunctions,RxTest,rxCreateArrays,19,2,0
AsyncFunctions,RxTest,Transpose,8,2,1
AsyncFunctions,RxTest,TestObservable,13,1,2
AsyncFunctions,SyncContext,asyncTestSyncContext,21,1,0
AsyncFunctions,ExcelSynchronizationContextInstaller,ExcelSynchronizationContextInstaller,4,1,0
AsyncFunctions,ExcelSynchronizationContextInstaller,Dispose,3,1,0
MyRTDServers,TimeServer,TimeServer,11,1,0
MyRTDServers,TimeServer,Log,3,1,2
MyRTDServers,TimeServer,GetTopicId,5,1,1
MyRTDServers,TimeServer,ServerStart,4,1,0
MyRTDServers,TimeServer,ServerTerminate,3,1,0
MyRTDServers,TimeServer,ConnectData,4,1,3
MyRTDServers,TimeServer,DisconnectData,3,1,1
AsyncTest,AsyncRun,HelloFromAsyncFunctions,3,1,0
AsyncTest,AsyncRun,Sleep,14,2,1
AsyncTest,AsyncRun,DownloadAsyncArray,15,1,1
AsyncTest,AsyncRun,DownloadAsync,5,1,1
AsyncTest,AsyncRun,WebSnippetAsync,13,1,2
AsyncTest,AsyncRun,Download,3,1,1
AsyncTest,AsyncRun,DownloadAsyncTask,3,1,1
AsyncTest,AsyncRun,DownloadAsyncFail,7,1,1
MarketDataForExcel,YahooFinance,GetFxRateFromYahooAsync,4,1,2
MarketDataForExcel,YahooFinance,GetHistoricalDataFromYahooAsync,5,1,3
MarketDataForExcel,YahooFinance,GetFxRateFromYahoo,43,6,2
MarketDataForExcel,YahooFinance,GetHistoricalDataFromYahoo,44,5,3
System.Threading.Tasks,EAPCommon,HandleCompletion,13,4,4
ExcelDna.Integration.RxExcel,RxExcel,ToExcelObservable,3,1,1
ExcelDna.Integration.RxExcel,RxExcel,Observe,3,1,3
ExcelDna.Integration.RxExcel,RxExcel,Observe,3,1,3
ExcelDna.Integration.RxExcel,RxExcel,Observe,3,1,3
ExcelDna.Integration.RxExcel,RxExcel,Observe,3,1,3
ExcelDna.Integration.RxExcel,ExcelObservable<T>,ExcelObservable,3,1,1
ExcelDna.Integration.RxExcel,ExcelObservable<T>,Subscribe,7,1,1
ExcelDna.Integration.RxExcel,DebuggingDisposable,DebuggingDisposable,3,1,1
ExcelDna.Integration.RxExcel,DebuggingDisposable,Dispose,4,1,0
ExcelDna.Integration.RxExcel,CancellationDisposable,CancellationDisposable,5,2,1
ExcelDna.Integration.RxExcel,CancellationDisposable,CancellationDisposable,2,1,0
ExcelDna.Integration.RxExcel,CancellationDisposable,Dispose,3,1,0
System.Net,WebClientExtensions,DownloadDataTask,3,1,2
System.Net,WebClientExtensions,DownloadDataTask,22,1,2
System.Net,WebClientExtensions,DownloadFileTask,3,1,3
System.Net,WebClientExtensions,DownloadFileTask,22,1,3
System.Net,WebClientExtensions,DownloadStringTask,3,1,2
System.Net,WebClientExtensions,DownloadStringTask,22,1,2
System.Net,WebClientExtensions,OpenReadTask,3,1,2
System.Net,WebClientExtensions,OpenReadTask,22,1,2
System.Net,WebClientExtensions,OpenWriteTask,3,1,3
System.Net,WebClientExtensions,OpenWriteTask,22,1,3
System.Net,WebClientExtensions,UploadDataTask,3,1,4
System.Net,WebClientExtensions,UploadDataTask,22,1,4
System.Net,WebClientExtensions,UploadFileTask,3,1,4
System.Net,WebClientExtensions,UploadFileTask,22,1,4
System.Net,WebClientExtensions,UploadStringTask,3,1,4
System.Net,WebClientExtensions,UploadStringTask,22,1,4


index,feature_extraction,segmentation,clustering,classification,neural_networks,reinforcement_learning,generative_adversarial_networks,anomaly_detection,dimensionality_reduction,data_visualization,energy_simulation,optimization,multi-objective_optimization,measurement,validation,data_collection,statistical_analysis,factor_analysis,regression,correlation
baseline_models,,,,,0.07454650104045868,,,0.09464485943317412,0.09184729307889937,,0.2021588385105133,,,,0.13159482181072235,0.08336734771728516,0.1327953189611435,,0.2586401104927063,0.07495670020580293
ecm,0.13973616063594818,0.060346487909555435,0.15183129906654358,0.16931751370429993,0.14432954788208008,,,,0.05220833793282509,0.1159963607788086,0.3155973553657532,0.18205860257148745,0.2054504156112671,0.10433665663003923,0.1857483685016632,0.13862453401088715,0.16551928222179413,0.057795669883489616,0.21193164587020874,0.12220176309347153
air_speed,,0.09539590030908583,0.09267418086528778,0.1394553929567337,0.06613224744796753,,,,,0.07895033061504364,0.2435262501239777,0.2656890153884888,,0.4181915521621704,0.29720360040664673,0.18085229396820068,0.1487421989440918,,0.1851384937763214,0.2906961441040039
wind_direction,,,0.07390281558036804,0.2062976360321045,,0.07567276060581207,,0.10723242163658142,,0.07224924862384796,0.15530946850776672,0.14714869856834412,,0.26790130138397217,0.14404958486557007,0.14348362386226654,0.1944088637828827,,0.1713312268257141,0.2852785289287567
wind_speed,0.060562167316675186,,0.1555427759885788,0.2062976360321045,0.11868927627801895,0.07567276060581207,,0.07331075519323349,,0.1186310574412346,0.1787945032119751,0.1961648166179657,,0.3561639189720154,0.2655861973762512,0.213675394654274,0.26411673426628113,,0.2533766329288483,0.3996434211730957
indoor_air_temperature,0.10855287313461304,0.08643531054258348,0.1706409752368927,0.25705212354660034,0.10698549449443816,0.14789313077926636,,,,0.05151384323835373,0.21706311404705048,0.3392214179039001,0.10794979333877563,0.4975492358207703,0.35951244831085205,0.2481611371040344,0.18851777911186215,0.05603006854653359,0.29812681674957275,0.3722818493843079
outdoor_air_temperature,0.08853955566883087,,0.056979812681674964,0.11524656414985655,,,,0.06240560859441757,,0.06480610370635986,0.16118596494197845,0.14219892024993894,,0.2776334881782532,0.21331824362277985,0.17096146941184998,0.18971553444862368,,0.27938205003738403,0.3100568652153015
outdoor_temperature,0.05032603815197945,,0.24157071113586426,0.1659105122089386,0.09804710000753404,0.09021115303039552,,,,,0.1357950121164322,0.1976997554302216,,0.19679021835327148,0.200671911239624,0.18372249603271484,0.22023889422416687,,0.3130258619785309,0.3259250521659851
relative_humidity,,,0.1391775906085968,0.1956074833869934,0.12390632927417755,0.06481922417879105,,,,0.09944150596857072,0.1934584528207779,0.2411085665225983,0.10184656083583833,0.4464871287345886,0.2780492901802063,0.26024919748306274,0.2308071106672287,,0.2531265616416931,0.34693586826324463
time-step,0.10111364722251892,,0.09820396453142166,,0.14292016625404358,0.10106466710567474,,,,0.08380056172609329,0.25163933634758,0.1653510332107544,0.10654149949550627,0.15917931497097015,0.2315463870763779,0.1607009470462799,0.06599634140729904,,0.202786922454834,
heat_balance,0.08752069622278214,0.06299099326133728,0.07672084867954254,0.09623037278652193,0.07514362782239914,0.052948016673326485,,,,0.058797650039196014,0.3415656387805939,0.1911635398864746,0.15423166751861572,0.195377379655838,0.23388727009296414,0.11538010090589525,0.15993386507034302,,0.21376535296440125,0.1389714479446411
energy_balance,,,0.08407425135374069,0.1223066747188568,,,,0.051396649330854416,,0.0566210076212883,0.25262272357940674,0.3237287402153015,0.1948356181383133,0.18631333112716675,0.27955374121665955,0.1029280349612236,0.1314350664615631,,0.20348596572875974,0.19441363215446472
heat_transfer,0.08049595355987549,0.07601957023143767,0.12033675611019135,0.1902405321598053,0.05949774757027626,,,,,0.08343348652124405,0.2699182629585266,0.3369324803352356,0.08073607087135315,0.3399813175201416,0.33703625202178955,0.1258419156074524,0.16076943278312686,,0.14701306819915771,0.3299140334129333
carbon_dioxide,,,,0.16658422350883484,0.10340523719787598,0.06671846657991409,,,,,0.1355615258216858,0.20381061732769007,0.1073332577943802,0.32055118680000305,0.1024935096502304,0.11427149176597595,0.1017828732728958,,0.1029558926820755,0.20996415615081787
site,0.08923463523387909,0.21618732810020447,0.2869331240653992,0.37320321798324585,0.09000691771507263,,,0.05732207372784615,,0.18887728452682492,0.16905704140663147,0.3493541479110718,0.14204272627830505,0.4264324307441712,0.2856779098510742,0.3661240339279175,0.2129979431629181,,0.19624999165534973,0.32784491777420044
weather_data,0.11683666706085205,,0.20671069622039795,0.1891596019268036,0.12970340251922607,0.0568043664097786,,0.06612968444824219,,0.22189602255821228,0.5364257097244263,0.2650398015975952,0.12309449911117555,0.2965794801712036,0.3546525835990906,0.3176954984664917,0.3421712815761566,0.06336229294538498,0.2926154136657715,0.2075990736484528
dry_bulb_temperature,0.06373745203018187,,,0.0704183578491211,0.08071944117546083,0.0792633667588234,,,,,0.19067494571208954,0.12088228762149812,0.0589262917637825,0.2459335327148437,0.15996667742729187,0.09839862585067748,0.17120295763015747,,0.2222568392753601,0.2397032976150513
dew_point,,,,0.07537203282117844,0.07142524421215057,,,0.05745745450258255,,,0.1257397085428238,0.1494656801223755,0.15186338126659393,0.2471594214439392,0.13454869389533994,,0.11373063921928404,,0.16515681147575378,0.16091559827327728
energy_consumption,0.17824353277683258,0.1102159172296524,0.30963772535324097,0.3215596675872803,0.24333399534225464,0.1483905017375946,0.05336883664131165,0.21517005562782288,0.11764200776815414,0.272337019443512,0.44846853613853455,0.5524547696113586,0.2820378839969635,0.3394249677658081,0.3359150588512421,0.3782138228416443,0.3804171681404114,0.08941542357206345,0.4132717251777649,0.35069483518600464
schedule,0.2249620258808136,0.15710636973381042,0.3474974036216736,0.3504812717437744,0.2374655306339264,0.16260704398155212,0.08860629051923752,0.2197769582271576,0.141633540391922,0.1506621539592743,0.3825801610946655,0.5449684262275696,0.305117130279541,0.30821549892425537,0.3387980461120605,0.3713633120059967,0.2705589234828949,,0.283635675907135,0.340084433555603
ahu,0.1668931245803833,0.11953768134117125,0.1790650188922882,0.2107815444469452,0.22148582339286804,0.16784581542015076,0.08506590127944946,0.11783450841903688,0.10808824747800827,,0.18514658510684967,0.2958969473838806,0.19946454465389246,0.21670788526535034,0.3295402526855469,0.18029136955738068,0.13808660209178925,0.11902008205652236,0.1841013729572296,0.18547412753105166
energy_price,,,0.16106708347797394,0.10579854249954224,0.07006591558456421,0.10821425914764404,,,0.07268084585666656,,0.09722674638032912,0.2709217071533203,0.13508093357086182,0.10326877981424333,0.060797475278377526,0.08491872996091843,0.18455049395561215,,0.1826017946004868,0.23515045642852786
cost_savings,,0.06054899841547012,0.11528634279966354,0.08713045716285706,0.14124220609664914,0.10395809262990953,,,0.11253730952739716,0.1231728196144104,0.15201407670974731,0.3403016924858093,0.21842679381370544,0.06807094812393187,0.10918182134628296,0.12348918616771698,0.10414784401655196,,0.1374085247516632,0.12324778735637665
building_envelope,0.16401079297065735,0.12924261391162872,0.12370842695236205,0.2757623791694641,0.099124476313591,0.08899916708469391,,,,0.09898342937231064,0.4454305768013001,0.4747982025146485,0.2709396481513977,0.2523552179336548,0.2532194256782532,0.1788584440946579,0.17475587129592896,,0.22478237748146054,0.24536605179309845
building_geometry,0.13626360893249512,0.12534986436367035,0.07283458858728409,0.18580126762390134,,,,,0.10486894845962524,0.2452056407928467,0.5010842680931091,0.31371626257896423,0.15315526723861694,0.07699347287416458,0.15351533889770508,0.13193537294864655,0.12493031471967694,,0.13844478130340576,0.17407578229904175
material_properties,0.10323399305343628,0.1068151444196701,0.08674818277359009,0.20410600304603574,0.07933083921670914,,,,,0.08094459772109985,0.34311947226524353,0.23096275329589844,0.06620771437883377,0.31415998935699463,0.263201117515564,0.14491187036037445,0.15613000094890594,,0.16027024388313293,0.23907719552516934
glazing,0.06643204391002655,0.1002320647239685,0.13086585700511932,0.1968715488910675,0.07630839943885802,0.0848870500922203,,,0.1011202558875084,0.09494978189468384,0.2733118534088135,0.26103657484054565,0.10757617652416228,0.22220593690872192,0.1612294316291809,0.0995856747031212,0.08025520294904709,,0.19932983815670013,0.21753956377506256
shading_devices,0.050893161445856094,0.13096854090690613,0.1142485737800598,0.19902682304382324,0.09244344383478163,0.13301318883895874,,,,0.105154387652874,0.2665744125843048,0.3378765881061554,0.1811714470386505,0.1719614416360855,0.1476496458053589,0.09779661893844603,0.0921567678451538,,0.1586119532585144,0.17149783670902252
building_orientation,0.10694865882396698,0.24101170897483826,0.24104928970336914,0.2114763855934143,0.062280356884002686,0.061743859201669686,,,0.056378960609436035,0.13476356863975525,0.2406342029571533,0.31522732973098755,0.1815020889043808,0.27290886640548706,0.20111623406410215,0.192654088139534,0.14683173596858978,0.08250612020492554,0.1713712513446808,0.34520846605300903
zone,0.08639153838157654,0.1838116943836212,0.26719486713409424,0.3542117476463318,0.0519363135099411,0.07318994402885437,,,0.06216224655508995,0.09214316308498384,0.3626648187637329,0.2737585008144379,0.12654554843902588,0.3069630563259125,0.30953115224838257,0.20552004873752594,0.12099259346723555,,0.1874895691871643,0.26907315850257874
surface,0.06571690738201141,0.22445707023143768,0.21714919805526733,0.3002520501613617,0.05888113379478455,,,,,0.08078073710203171,0.20625504851341248,0.22954249382019046,,0.4079547822475433,0.2713489830493927,0.1457073986530304,0.1323259472846985,,0.14773306250572205,0.32432568073272705
thermal_mass,,0.061856284737586975,0.11244020611047743,0.13382588326931,0.09441793709993362,0.05759008601307869,,,,,0.2507714927196503,0.3319529891014099,0.12351040542125702,0.15974262356758118,0.16342434287071228,,0.07719772309064865,,0.10851100832223892,0.17559313774108887
building_form,0.0918651670217514,0.1304253339767456,0.15039879083633426,0.07333934307098389,,,,0.056053660809993744,0.12443533539772035,0.18918004631996155,0.3314008712768555,0.3524021506309509,0.25199419260025024,0.06649256497621536,0.07731622457504272,0.13347573578357694,0.10053333640098573,0.09921030700206757,0.18715089559555054,0.19193609058856964
passive_design_strategies,0.06489005684852599,,,,0.053109370172023766,,,,0.12587401270866394,,0.19813990592956546,0.19454343616962436,0.16230618953704834,,0.054902467876672745,,0.05364102125167847,0.09959752857685088,0.07902702689170837,
natural_ventilation,,0.07614369690418242,0.09418082982301712,0.17709189653396604,0.12022598087787628,0.13812345266342166,,,0.09196022897958757,0.1068594828248024,0.3253355622291565,0.3569214344024658,0.15191109478473666,0.1785956621170044,0.24957704544067386,0.1666725128889084,0.22464293241500852,,0.1575871855020523,0.17233170568943024
internal_heat_gains,0.12724924087524414,0.07900172472000122,0.11445958912372588,0.15830343961715698,0.1588463932275772,0.10256427526474,,,,,0.2511414885520935,0.20748096704483032,0.06331133842468263,0.2100692987442017,0.1948031187057495,0.17066794633865354,0.15990115702152252,,0.2474462985992432,0.22490692138671875
lights,0.07758599519729614,0.07225225865840912,0.16690252721309662,0.23448684811592105,0.09746560454368593,0.09017729759216307,,,,0.14780420064926147,0.3001603484153748,0.3485350608825684,0.12772774696350098,0.2692635953426361,0.21067142486572266,0.2345917373895645,0.17768660187721252,,0.21415726840496066,0.26903414726257324
equipment,0.14432890713214874,0.12865875661373138,0.2722397148609161,0.34159430861473083,0.13088685274124146,0.09651020914316176,,0.11052905768156053,,0.13662953674793246,0.214750736951828,0.3652251958847046,0.09113048017024994,0.4168509244918823,0.28604888916015625,0.3708313703536987,0.18916432559490204,,0.18700934946537015,0.22042381763458246
daylighting,0.0785641148686409,0.08188185095787047,0.13816557824611664,0.1851838380098343,0.1501207798719406,0.10189078748226166,,0.056555148214101784,0.07267950475215912,0.27798992395401,0.4369373321533203,0.4161747992038727,0.22817999124526975,0.3030218482017517,0.24435232579708102,0.16042974591255188,0.17400021851062775,,0.20428615808486936,0.2166701853275299
mass_flow_rate,,,0.07702047377824782,0.10400701314210893,,,,,,,0.11350520700216292,0.2622172236442566,0.05089379847049713,0.3044447898864746,0.241448312997818,0.06774349510669707,0.05403856933116913,,0.09306851029396056,0.2488808780908585
inlet_temperature,,,,,,,,,,,,0.1835688054561615,,0.18616072833538053,0.1595526784658432,,0.054448552429676056,,0.09651026129722597,0.1929784119129181
outlet_temperature,,,,0.06230555847287177,,,,,,,,0.1889040321111679,,0.2301168590784073,0.2363360822200775,,,,0.09123174846172333,0.20701727271080014
cooling_load,0.08961127698421477,0.05706796422600746,0.15903203189373016,0.15544366836547852,0.13279390335083008,0.1895298957824707,,,,,0.3597201704978943,0.3232635855674744,0.1395522952079773,0.25162410736083984,0.2890329957008362,0.14352943003177646,0.20030224323272705,0.06645259261131288,0.2771110236644745,0.2832077443599701
heating_load,0.11946266889572145,0.10626214742660522,0.1709730327129364,0.11512774229049685,0.08508230000734329,0.0951821357011795,,,0.06230662390589714,0.07092936336994171,0.2784577012062073,0.2115204930305481,0.16535456478595734,0.17102769017219546,0.2082785665988922,0.0905318334698677,0.20184600353240967,0.12957072257995605,0.26515936851501465,0.28569865226745605
chilled_water,,,0.1041470617055893,0.05710205063223839,0.08116927742958069,,0.05706945806741715,,0.07518523186445236,,0.11091700941324234,0.276789128780365,0.13593153655529022,0.1570412516593933,0.17540061473846436,0.08350098133087157,0.05221296101808548,,0.08902731537818909,0.13702130317687988
chiller,0.1414223611354828,,0.16424822807312012,0.19550058245658875,0.15525639057159424,,,0.08334442228078842,,,0.19090871512889865,0.3587098717689514,0.15054410696029666,0.18468308448791504,0.2688138782978058,0.14776767790317535,0.1430283933877945,,0.20325511693954468,0.2033003270626068
cop,0.05583962798118591,,0.15638911724090576,0.11501380056142807,0.1314793974161148,0.079659603536129,,0.07104174047708511,,,0.213972806930542,0.3384488523006439,0.2241116166114807,0.2344140708446503,0.25688278675079346,0.1541270613670349,0.16412779688835144,0.05156981945037842,0.22076557576656344,0.2791349291801453
hot_water,,,0.11239250004291534,0.1284380704164505,,,,,,,0.07144850492477417,0.2305087000131607,,0.1968695968389511,0.17171671986579895,0.1167745441198349,0.09753714501857758,,0.09118012338876724,0.1515388786792755
compressor_power,,,0.08347126096487045,,,,,,0.0879712849855423,0.050924792885780334,0.07567142695188522,0.10662980377674104,,0.05863800272345542,0.11706126481294632,,,,0.13567408919334412,0.197868213057518
condenser_fan_power,,,,,,,,,,0.06716173887252808,,0.05006621405482292,0.09769463539123537,,,,,,,
condensing_temperature,0.06478776782751082,,0.16306936740875244,,,,,0.05224577710032463,0.07837750017642975,0.06232824921607971,0.06574883311986922,0.1681961566209793,,,0.1017027199268341,,,,0.12735122442245486,0.14822812378406525
fan_power,,,,,,,0.06445114314556122,0.07172401249408722,0.06938763707876205,,0.10131463408470154,0.18013909459114075,,0.15554404258728027,0.13631200790405273,0.05359741300344467,,,0.14368391036987305,0.1608281433582306
fan_speed,,,0.05356144905090332,0.05893859267234802,,0.11807124316692352,,,,,,0.23359060287475586,0.06161316111683845,0.2011699676513672,0.17518658936023712,0.10644160956144333,0.05019325762987137,,0.163261741399765,0.19833217561244965
set_point,0.06928863376379013,,0.193668469786644,0.16340655088424685,0.08777762949466705,0.1373404860496521,,,,,0.2154170274734497,0.4036799669265747,0.2056596726179123,0.2635470032691956,0.2362295538187027,0.16203007102012634,0.10970109701156616,,0.18405115604400635,0.19707940518856049
water_temperature,,,0.06148917600512505,0.0583910346031189,0.10460317134857178,0.06403198838233948,,,,,,0.2557934522628784,0.053335625678300864,0.2618618309497833,0.1956680119037628,0.10606059432029724,0.10136691480875017,,0.10872768610715866,0.2414053976535797
variable_air_volume,0.09540505707263948,,0.11430323123931885,0.13071262836456302,0.1928187608718872,0.19360235333442688,,0.06398025155067444,0.08166023343801497,,0.2540840208530426,0.2186395525932312,0.16928252577781674,0.20075705647468567,0.2232237160205841,0.10384032875299454,0.14687511324882507,,0.15109390020370486,0.08564886450767517
constant_air_volume,0.10632316023111343,,,,0.07536041736602782,0.07514437288045883,0.060350146144628525,,,,0.10946387052536012,0.10480226576328278,,0.053707122802734375,0.06502203643321991,,,,0.10005190968513487,0.0517328605055809
static_pressure,,,,0.09656320512294768,,0.07123762369155884,,0.06082812324166297,,,0.09555575251579283,0.2114330381155014,0.07281585782766342,0.2556974291801453,0.14710909128189087,0.0683709979057312,,,0.0922187715768814,0.1437794715166092
differential_pressure,,,,,,,,,,,,0.1112723872065544,,0.29618263244628906,0.11642080545425415,0.09278783202171326,,,,0.18444377183914185
thermal_comfort,0.0964040830731392,0.1371690034866333,0.1859087347984314,0.2647547125816345,0.19128042459487915,0.20971570909023285,,,0.08409671485424043,0.15773752331733704,0.3496604859828949,0.4813262224197388,0.3687068819999695,0.29950475692749023,0.3384245038032532,0.2939401268959045,0.29204022884368896,,0.3079255223274231,0.3043982982635498
damper,,0.06598136574029922,0.08302158117294313,0.14545559883117676,0.07982702553272247,,,,,,0.10598978400230408,0.2730701565742493,0.12324768304824828,0.28683221340179443,0.29381826519966125,0.09092307090759276,0.07193565368652344,0.058249764144420624,0.1020507588982582,0.17546315491199493
air-to-air,0.053053654730319984,,,0.0711616650223732,,,0.07783777266740799,,0.05282686650753021,,0.13888154923915866,0.11050927639007567,0.16579188406467438,,0.13824108242988584,,,0.07443372905254364,,
air-to-water,,0.1039540097117424,,,,,,,,,,0.07443736493587494,0.13118109107017514,,0.060744557529687875,,,0.06912531703710556,,
heat_recovery,0.12946367263793945,,,0.11143077909946443,0.08758574724197388,,,,0.05576932430267334,,0.19508805871009827,0.32709908485412603,0.216724306344986,0.20027786493301392,0.21804438531398773,0.08602077513933183,0.09653475135564804,,0.1108490750193596,0.17188167572021484
load_profile,0.16536885499954224,0.18036246299743647,0.3356941938400269,0.2064821720123291,0.09410139918327333,,,0.16288131475448608,0.17190080881118774,0.12275590002536775,0.2052806913852692,0.2761465907096863,0.2287642806768417,0.19574302434921265,0.2456477284431457,0.19575634598731995,0.1976774334907532,0.1495366394519806,0.20824456214904785,0.16613060235977173
time-of-use,,,0.1445056051015854,0.1048780232667923,,0.07864299416542052,,,0.08740942180156708,0.0975496917963028,0.08535938709974289,0.21756190061569214,0.09296488761901857,0.06426745653152466,0.07056824117898941,0.06541425734758377,0.05616860464215279,,0.1474519520998001,0.11609090864658354
household_appliances,0.09544959664344788,,0.09315799176692964,0.11960019171237946,0.06943774223327638,,,0.1548711061477661,0.07448410987854004,0.05225631967186928,0.0661541149020195,0.1520981788635254,0.12786538898944855,,,0.10636884719133376,0.0782550796866417,,0.13977688550949094,0.1088513880968094
energy_storage,,,0.08813249319791794,0.16867899894714355,0.13425132632255554,0.07867461442947388,,,,0.06748966872692108,0.1662997305393219,0.35685330629348755,0.16245096921920776,0.17463988065719604,0.15231457352638245,0.12868556380271912,0.08617377281188965,,,0.07614906877279283
smart_meters,0.08898714184761047,0.08669130504131317,0.2321605831384659,0.15090739727020264,0.12818273901939392,0.12945611774921414,,0.1567765474319458,,0.17754483222961426,0.08133046329021454,0.17725202441215515,0.07365082949399948,0.25701433420181274,0.18600867688655853,0.3550775647163391,0.1581001579761505,,0.08145105838775635,0.13305315375328064
post-occupancy_evaluation,0.0924466997385025,,,,0.12813237309455872,0.09036511182785034,0.1061885505914688,0.07386883348226547,,0.2120714783668518,0.2271789610385895,0.07624822854995728,0.09694570302963257,0.12517762184143064,0.16020232439041138,0.2796844840049744,0.1218142881989479,,0.09401941299438477,
coefficient_of_variation,,,0.09049950540065764,,,0.07962425798177719,,0.09022657573223114,,,0.23159702122211456,0.08327753841876984,0.11900775879621504,0.16335822641849518,0.2447565644979477,,0.282216876745224,0.09136689454317093,0.2859974801540375,0.21809838712215426
calibrated_model,0.16770339012145996,0.08701198548078537,0.11481231451034545,0.05034464597702026,0.11289890110492705,,,0.11755920201539992,0.06834162026643753,0.12300961464643477,0.3793502748012543,0.2004484236240387,0.1770959198474884,0.12091848999261855,0.3689092695713043,0.14088526368141174,0.21129442751407626,0.12313336879014967,0.2536833584308624,0.11226791143417357
electricity_pricing,0.10468025505542757,0.11432020366191865,0.09743397682905196,,0.06909628212451935,0.10186812281608583,,0.08684775978326797,0.12278948724269867,0.13954612612724304,0.22619813680648804,0.18558146059513086,0.090761199593544,0.06323139369487762,0.13487669825553894,0.15590578317642212,0.1750708520412445,,0.16911044716835022,0.07499659061431885
cost_analysis,0.08041201531887054,0.05892111733555794,,0.07916544377803802,0.07852908223867416,,,0.06443086266517639,0.10967812687158583,0.1593598872423172,0.2736808657646179,0.2084775418043137,0.1876285970211029,0.05604775995016098,0.19318029284477234,0.15100522339344025,0.1048153191804886,0.12154036760330199,0.11429211497306825,
control_algorithms,0.12852993607521054,0.1173221468925476,0.12218985706567766,0.1730729192495346,0.26219943165779114,0.2282582372426987,,0.07033302634954453,0.07865823060274124,0.19958528876304624,0.2393125593662262,0.4031850397586823,0.26473698019981384,0.1484132707118988,0.3248400092124939,0.2301138639450073,0.24621501564979556,,0.203095480799675,
pmv,,,0.10707657784223557,0.1799839437007904,0.21252861618995667,0.15478850901126862,,,,,0.2216784656047821,0.1891838610172272,0.2593335509300232,0.2397652864456177,0.21425822377204892,0.12147816270589827,0.1854500621557236,0.05545153468847275,0.2784393429756165,0.2539107203483581
ppd,,,0.08472985029220581,0.15938997268676758,0.09893772006034852,0.13488347828388214,,,,,0.22071212530136108,0.1873018443584442,0.2461984157562256,0.13012942671775818,0.12489384412765504,,0.14018671214580536,,0.16363012790679932,0.14294672012329102
thermal_sensation,0.08383627235889435,0.104390487074852,0.12455074489116667,0.1732831597328186,0.12919820845127106,0.11007298529148102,,0.06935610622167587,,0.07130367308855058,0.19024287164211276,0.10136888921260834,0.11491850018501283,0.22723400592803955,0.23143965005874634,0.2036459594964981,0.2476910501718521,0.05205684155225754,0.3414586186408997,0.2765503525733948
operative_temperature,,,0.0847027525305748,0.09489460289478302,,0.0856848657131195,,,,0.0744858831167221,0.17881827056407928,0.0971010997891426,0.0547461099922657,0.2448779940605164,0.1591605693101883,0.10210303962230682,0.19341929256916046,,0.2940749228000641,0.2384169697761536
mean_radiant_temperature,,0.05769894272089005,,,0.05477118492126465,0.07492645829916,,,,,0.17650693655014038,,0.055349215865135186,0.2447182238101959,0.1263280063867569,0.08732661604881288,0.0840708464384079,,0.11948657780885695,0.18523117899894714
clothing_insulation,,,,0.05307310074567795,0.05698004737496376,0.11417385935783385,,,,,0.13630668818950653,,,0.13019414246082306,0.09521596133708954,0.13574692606925964,0.1425207108259201,0.06157418340444565,0.2430416643619537,0.19851022958755493
thermal_comfort_index,,,,,0.09428608417510986,0.11456304788589478,,,,,0.22071212530136108,0.05747419595718384,0.15323954820632935,0.07812834531068802,,,,,0.07541871070861816,
ashrae_guideline_14,0.1294974386692047,,,0.09203897416591644,0.07077982276678085,0.050716981291770935,0.10452339053153993,0.1244141012430191,0.06423306465148926,,0.2259880304336548,0.05442392081022263,0.08055137097835541,0.16856646537780762,0.2341915369033813,0.10475685447454453,0.16197296977043152,0.06979075819253923,0.14814260601997375,
calibrated_simulation,0.10271356999874116,,,,,0.10503242909908296,,0.08954036980867386,0.08160503208637238,,0.19040817022323608,0.06314203143119812,0.06540274620056152,0.11435497552156447,0.10212424397468567,0.08708919584751129,0.08321792632341385,0.09142673760652542,0.06196659803390502,
occupant_behavior,0.11253362894058228,0.0609978586435318,0.20329919457435608,0.1858619898557663,0.21635915338993075,0.16883209347724915,,0.10172390192747116,,0.11978702247142793,0.4618965983390808,0.25865262746810913,0.2117791175842285,0.1493518054485321,0.2299969345331192,0.2827786505222321,0.2871328890323639,,0.232381284236908,0.15543538331985474
noise_level,0.10082119703292848,0.1859116554260254,,0.11331385374069215,,0.10063865780830383,,0.07532902806997299,0.1242295429110527,,,0.06590341031551361,,0.2806651294231415,0.08442585170269012,0.08105884492397307,0.11909392476081848,,0.11745585501194,0.19800053536891934
eui,0.09656471014022827,0.09536637365818024,0.2176814079284668,0.2190680205821991,0.07124921679496765,,,,,0.07175062596797943,0.16713601350784302,0.17396265268325806,0.08350105583667755,0.08639854192733765,0.151680588722229,0.10772780328989028,0.2636476159095764,0.06751291453838347,0.33270031213760376,0.24506384134292605
historical_data,0.29107895493507385,0.1180233359336853,0.335129588842392,0.2952195405960083,0.3707911968231201,0.1953214704990387,,0.2873382568359375,0.20829054713249207,0.24706393480300906,0.1998431235551834,0.2635866403579712,0.06967181712388992,0.2420297861099243,0.3357670307159424,0.35969942808151245,0.498902678489685,0.07090689986944199,0.3621630966663361,0.2611306309700012
real-time,0.19561409950256348,0.1745220422744751,0.19532254338264465,0.2447677552700043,0.27461808919906616,0.1610392928123474,,0.2706728279590607,,0.4659499526023865,0.2715785801410675,0.4352505207061768,0.17785021662712094,0.4088001251220703,0.36189204454422,0.4021481275558472,0.28801071643829346,,0.1598086804151535,0.21384507417678836
meter_readings,0.24150782823562625,0.22538694739341736,0.3194931149482727,0.1510028839111328,0.21103298664093015,0.10344792902469636,0.05590999498963356,0.2788458466529846,0.18889981508255005,0.2034672498703003,0.0930406004190445,0.13258478045463562,,0.2280073165893555,0.17117191851139069,0.3032569885253906,0.3125400245189667,0.08098611235618591,0.21127261221408844,0.1839078664779663
heating_degree_days,,,0.1654684841632843,0.09628556668758392,,,0.05608852207660675,0.07586821913719177,,,0.18008798360824585,,,,0.08370226621627808,,0.12019068002700806,0.1104777455329895,0.27204859256744385,0.2460226863622665
cooling_degree_days,,,0.09945164620876312,,,,0.08275379985570908,,,0.053248748183250434,0.09082239866256714,,,,,,0.10084615647792816,0.16712161898612976,0.2970064878463745,0.19452422857284546
performance_measurement_and_verification,0.058145731687545776,0.055640392005443566,,,,0.09117689728736876,0.06493279337882996,,,,0.2384001761674881,,,0.09676159918308258,0.140516459941864,0.1443118005990982,0.07359585165977478,0.05052456632256508,,


number_new,number,ID,cities_lead,Publication identified in which step,manual_validation_cities_lead,publication_DOI,publication_URL,article_yes_no,publication_date,unsure_about_publ_yes_no,reason,other_comments,rater,title,firstDrksPublishDate,startDate,startDate_plannedActual,studyEnd,intervention.category0,intervention.value0,intervention.category1,intervention.value1,intervention.category2,intervention.value2,address.type0,address.affiliation0,address.firstname0,address.lastname0,address.type1,address.affiliation1,address.firstname1,address.lastname1,targetSize,recruitmentStatus,investorInitiated,monoMultiCentric,publication.category0,publication.type0,publication.value0,publication.category1,publication.type1,publication.value1,publication.category2,publication.type2,publication.value2,publication.category3,publication.type3,publication.value3,publication.category4,publication.type4,publication.value4
278,6,DRKS00012871,Aachen,2,Aachen,10.1186/s12938-018-0526-0,https://pubmed.ncbi.nlm.nih.gov/30005629/,yes,13.07.2018,no,,,EN,Application of EIT to determine bladder volume,2017-08-24,2013/09/02,Actual,2014/12/31,Arm 1,"Interventional, open proband study of the measurement of the electrical impedance at filled and emptied bladder with measuring times of 5 minutes per cycle each with different electrode arrangements.",,,,,Primary Sponsor,Klinik für UrologieUniklinik RWTH Aachen,Joachim,Grosse,Contact for Scientific Queries,Klinik für UrologieUniklinik RWTH Aachen,Joachim,Grosse,12,"Recruiting complete, follow-up complete",yes,Monocenter trial,Approval of ethics comm. (mandatory for transfer to Studybox),13-042_2013-07-25_Votum BlasenEIT.pdf,Ethics Votum,Further trial documents,13-042_BlasenEIT_CRF_Version 01_07-08-2013.pdf,Patient survey,Further trial documents,EIT_Messprotokoll_UKA_HIA .pdf,Messprotokoll Elektrische Impedanztomographie,,,,,,
388,2,DRKS00004887,Aachen,3,Aachen,DOI: 10.1055/a-0891-3505 ,https://pubmed.ncbi.nlm.nih.gov/31108553/,yes,20.05.2019,no,,,EN,Changing lifestyle and improving subjective judgment of occupation by a  planning-competence-training with follow-up care among type II diabetes mellitus and adiposity inpatients: a randomized controlled trail. ,2013-10-07,2013/01/16,Actual,2015/04/30,Arm 1,"Experimental condition: Planning-Competence training with follow-up care.<br/><br/>The planning competence training is composed of four training units (length 1 -1,5 h) and a transfer session.<br/>Following three training units the transfer session is placed before the last training unit, which is a parallel construct to the first unit thus functioning as a performance control. <br/>By providing an opportunity for reflection of the training contents the transfer session supports the process of implementing the content to daily life (length 1,5 h).  The units take place at five sequenced days. The individual target planning<br/>During an one-on-one closing interview(length: about one hour) at the end of the rehabilitation process at the clinic certain goals and plans are defined individually.  Each patient formulates individual self-instructions helping to put the plans concnering lifestyle shift into practice. The telephone follow-up care lasts six months in which the patient is called every four weeks. Throughout those phone calls the planned goals and lifestyle shifts are discussed (length about 15 minutes). <br/>",Arm 2,Control group 1: Planning-Competence training without follow-up care,Arm 3,"Control group 2:  Placebocondition with placebo follow-up care<br/>The placebo- intervention serves lectures about general topics in health care and prevention like stressprevention, relaxation, alcohol, burnout prevention and salutogenisis (length about 30 minutes). In addition the contact is abided by  one-on-one interviews in the end of the training and a placebo telephone follow-up care (each telephone call lasting about 15 minutes).  General state of health is addressed during those calls without bringing up the topics of lifestyle shift.<br/><br/><br/>",Primary Sponsor,REFONET,Burkhard,Wild,Contact for Scientific Queries,"Institut für Psychologie<br/>RWTH Aachen, Lehr- & Forschungsgebiet Berufliche Rehabilitation",Viktoria,Arling,791,"Recruiting complete, follow-up complete",yes,Monocenter trial,,,,,,,,,,,,,,,
305,14,DRKS00011600,Bochum,2,Bochum,10.1016/j.jcrs.2017.04.038,https://www.sciencedirect.com/science/article/abs/pii/S0886335017304479,yes,01.07.2017,no,,,HK,Evaluation of Clinical Acceptability of the IC-8 Intraocular Lens,2017-01-25,2015/03/03,Actual,2016/11/10,Arm 1,"Appropriate patients are included in the study after signing the patient consent form. A total of 10 study visits will be necessary:<br/><br/>Preoperative examination of both eyes, first eye surgery (monofocale intraocular lens), examination 1 day after surgery first eye, examination 1 week after surgery first eye, second eye surgery (study lens IC-8, Acufocus), examination 1 day after surgery second eye, examination 1 week after surgery second eye, examination 1 month after surgery second eye,<br/>Examination 3 months after surgery second eye, examination 6 months after surgery second eye<br/><br/><br/>The following examinations are carried out on the preoperative visit:: ocular health and history;visual acuities; manifest refraction; pupil size (mesopic, photopic, and dilated); keratometry; biomicroscopic slit-lamp findings; visual symptoms; biometry (e.g., axial length, ACD, lens thickness, white to white, and IOL power calculation); ocular dominance;  applanation intraocular pressure; dilated fundus exam; potential acuity assessment; subjective questionnaire.<br/>Postoperative visits will assess visual outcomes including: visual acuities; manifest refraction; defocus curves; keratometry; applanation intraocular pressure; slit-lamp findings; visual symptoms; dilated fundus exam; AcuTarget (subgroup only); mesoptometer (subgroup only); visual field test (subgroup only),<br/>subjective questionnaires, and an investigator survey. All examinations with the exception of the AcuTarget measurement and the subjective patient questionnaire, are considered routine, non-invasive assessments after cataract surgery.<br/>",,,,,Primary Sponsor,AcuFocus Inc.,Michael,Bonilla,Contact for Scientific Queries,Universitätsklinikum Knappschaftskrankenhaus Bochum GmbH Augenklinik,H. Burkhard,Dick,130,"Recruiting complete, follow-up complete",no,Multicenter trial,,,,,,,,,,,,,,,
79,90,DRKS00013047,Erlangen,0,Erlangen,10.1186/s12871-017-0435-y,https://link.springer.com/article/10.1186/s12871-017-0435-y,no,,yes,"""preliminary data"" von 14/100 Patienten werden berichtet. ",,HK,Intraoperative neuromonitoring of neurosurgical patients using a non-invasive tissue-photospectrometry technique ,2017-10-02,2013/10/04,Actual,2017/10/21,Arm 1,"A non-invasive combined Laser-Doppler-flowmeter and tissue-spectrophotometer is used in patients undergoing scheduled intracranial surgery (group 1) to record local cerebral microcirculation intraoperatively. At the same time, somatosensory evoked potentials (SEP) as an established neuromonitoring technique were measured.",Arm 2,"A non-invasive combined Laser-Doppler-flowmeter and tissue-spectrophotometer is used in patients which underwent neurosurgery in an emergency setting within 72 hours (group 2). Pathological changes of local cerebral microcirculation during intraoperative measurements are compared to changes of somatosensory evoked potentials (SEP), which are recorded at the same time.",,,Primary Sponsor,"Neurochirurgische Klinik, Universitätsklinikum Erlangen",Michael,Buchfelder,Contact for Scientific Queries,"Paracelsus-Klinik Osnabrück, Neurochirurgische Abteilung",Björn,Sommer,100,"Recruiting complete, follow-up complete",yes,Monocenter trial,trial protocol (mandatory for transfer to Studybox),O2C_Studienprotokoll.pdf,Studienprotokoll Intraoperatives vaskuläres Neuromonitoring,,,,,,,,,,,,
91,131,DRKS00006303,Freiburg,0,Freiburg,,,no,,no,,,HK,Osypka BabyStent® for the treatment of aortic isthmus stenosis in early childhood,2014-12-19,2015/09/10,Actual,2017/10/10,Arm 1,Implantation of Osypka BabyStent(R),,,,,Primary Sponsor,Universitäts Herzzentrum Freiburg Bad KrozingenKlinik für Angeborene Herzfehler und Pädiatrische Kardiologie,Brigitte,Stiller,Contact for Scientific Queries,Universitäts Herzzentrum Freiburg Bad KrozingenKlinik für Angeborene Herzfehler und Pädiatrische Kardiologie,Brigitte,Stiller,19,"Recruiting complete, follow-up complete",yes,Multicenter trial,,,,,,,,,,,,,,,
398,194,DRKS00010157,Halle,3,yes,10.1055/a-0842-6901,https://www.thieme-connect.com/products/ejournals/abstract/10.1055/a-0842-6901 ,yes,02.05.2019,no,,,TB,Implementation of a short screening (UKS) for psychosocial problems for need-based referall to rehabilitation for patients with musculoskeletal diseases and psychosocial stress in primary care,2016-05-30,2016/06/06,Actual,2017/06/30,Arm 1,"The consenting practices will be referred to the intervention group (IG) or control group (KG) through a randomized procedure and receive a study folder for documentation and provision of necessary study materials. After information and consent to participate, potential study participants receive a study folder with the same study materials (study information, declaration of consent, screening T0 (UKS)).<br/><br/>In the KG the screening sheet in original form is sent back only to scientists. In this group the choice of rehabilitation concept and clinic by the DRV reviewers is based on the usual criteria and documents. <br/><br/>Additionally, after receiving  an answer concerning their rehabilitation application through the DRV, participants of both groups fill out a T1-questionnaire and send it to the scientists.<br/>",Arm 2,"In the IG the screening sheet (UKS) as well as an evaluation survey are added to the medical record in the rehabilitation application as well as the scientist. Thereby already the reviewer, who has been trained regarding the UKS screening, has an additional information on psychosocial strains of the applicant which can be consulted for the referral decision.",,,Primary Sponsor,"Institut für Rehabilitationsmedizin,Medizinische Fakultät der Martin-Luther-Universität Halle",Wilfried,Mau,Contact for Scientific Queries,"Institut für Rehabilitationsmedizin,Medizinische Fakultät der Martin-Luther-Universität Halle",Wilfried,Mau,540,"Recruiting complete, follow-up complete",yes,Multicenter trial,,,,,,,,,,,,,,,
178,208,DRKS00009883,Hamburg,1,yes,10.1186/s12885-016-2896-7,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5101649/ ,yes,08.11.2016,no,,,TB,"Effectiveness of a structured intervention to improve nutritional behavior of young patients after cancer in childhood, adolescence and young adulthood (AYAs) with cardiovascular risk - a pilot study in context of the Survivorship Program of University Cancer Center Hamburg in cooperation with the University Neubrandenburg - INAYA study (Improved Nutrition in AYAs)",2016-03-10,2015/06/01,Actual,2015/10/08,Arm 1,"After the consultation hour for cancer survivors in the UCCH the patients of the intervention group will be 45 minutes comprehensively and individual advised by a dietitian, based on healthy eating recommendations of the German Food Association (DGE). In context of a “Baseline Assessment” the patients current nutrition behavior, as well as demographical, disease-related and biochemical parameter will be registered. After two and six weeks the dietitian contacts the patient for another consultation by phone. After 12 weeks there will be a final discussion including an “Endpoint Assessment” where the patient receives another questionnaire (HEI).",,,,,Primary Sponsor,Universitätsklinikum Hamburg-Eppendorf,[---]*,[---]*,Contact for Scientific Queries,"Hubertus Wald Tumorzentrum, Universitäres Cancer Center Hamburg, II. Medizinische Klinik und Poliklinik, Universitätsklinikum Hamburg-Eppendorf (UKE), Haus O24",Julia,Quidde,21,"Recruiting complete, follow-up complete",yes,Monocenter trial,Paper,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5101649/,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5101649/,,,,,,,,,,,,
410,220,DRKS00005159,Hannover,3,yes,10.1177/2047487319849505,https://journals.sagepub.com/doi/10.1177/2047487319849505,yes,13.05.2019,no,,"""research letter"" in journal",TB,Improvement of endogenous regeneration in female healthy volunteers through physical exercise “REBIRTH aktiv women”,2013-09-25,2013/11/20,Actual,2015/03/26,Arm 1,"Training intervention of 210 min per week over a period of 6 months. Training could be bicycling, ergometer training, swimming, walking, nordic-walking, jogging, running, rowing-ergometer, shoulder-arm-ergometer. Also daily activities will be relevant as physical activities.",Arm 2,Waiting-control group of half of the study participants.,,,Primary Sponsor,MHH - HTTG Chirurgie,Axel,Haverich,Contact for Scientific Queries,Medizinische Hochschule Hannover,Uwe,Tegtbur,313,"Recruiting complete, follow-up complete",yes,Monocenter trial,,,,,,,,,,,,,,,
196,243,DRKS00006206,Heidelberg,1,yes,10.1016/j.mhp.2016.03.002,https://www.sciencedirect.com/science/article/pii/S2212657015300118,yes,03.03.2016,no,,,TB,Evaluating a stress prevention programme for sixth form pupils,2014-07-01,2014/03/24,Actual,2014/12/31,Arm 1,"Intervention Group. The stress prevention programme will be conducted in the school setting and substitute regular sports lessons for pupils of the intervention group. Pupils will work on the topics stress and coping, class climate and peer relations as well as exam situations and worries about the future. The training contains psychoeducation as well as experience-based education. It encompasses three sessions of 90 minutes each.<br/>",Arm 2,Wait list control group. Pupils of the wait list comparison will attend regular sports classes while the programme is carried out in the intervention group. After postline assessment the wait list control group will be given the opportunity to participate in the stress prevention programme as well.,,,Primary Sponsor,Kinder- und Jugendpsychiatrie Heidelberg Zentrum für Psychosoziale Medizin,Franz,Resch,Contact for Scientific Queries,Kinder- und Jugendpsychiatrie HeidelbergZentrum für Psychosoziale Medizin,Michael,Kaess,300,"Recruiting complete, follow-up complete",yes,Monocenter trial,Paper,http://www.sciencedirect.com/science/article/pii/S2212657015300118,"Eppelmann, L., Parzer, P., Lenzen, C., Bürger, A., Haffner, J., Resch, F., & Kaess, M. (2016). Stress, coping and emotional and behavioral problems among German high school students. Mental Health & Prevention. https://doi.org/10.1016/j.mhp.2016.03.002",,,,,,,,,,,,
252,305,DRKS00010061,Köln,2,Köln,10.1159/000480356,https://www.karger.com/Article/Pdf/480356,yes,27.09.2017,no,,"Im Paper wird die Studie als beobachtend, nicht interventionell beschrieben",SW,"Prospective, early, intensified controll of central retinal thickness by optical coherence tomography to detect early recurrence of disease after treatment of neovascular Age-related macula degeneration (nAMD) by intravitreal injection ",2016-04-04,2016/04/01,Actual,2016/09/15,Arm 1,"Intervention group : All patients received three additional OCT examinations (optical coherence tomography) by protocol - in Detail: an examination of both eyes on day 7 (+/- 2 days) , day 14 (+/- 2) and day 21 (+/- 2) after injection of treatment",,,,,Primary Sponsor,Zentrum für AugenheilkundeUniklinik Köln,Sascha,Fauser,Contact for Scientific Queries,Zentrum für Augenheilkunde der Uniklinik Köln,Sascha,Fauser,100,"Recruiting complete, follow-up complete",yes,Monocenter trial,,,,,,,,,,,,,,,
433,286,DRKS00004450,Köln,9,none,,,,,,,"kein UMC, Sporthochschule",SW,"Effects of a targeted, individualized sports therapy program for childhood cancer patients on motor Performance<br/><br/>Publication: Beulertz J, Prokop A, Rustler V, Bloch W, Felsch M, Baumann FT. Effects of a 6-Month, Group-Based, Therapeutic Exercise Program for Childhood Cancer Outpatients on Motor Performance, Level of Activity, and Quality of Life. Pediatric Blood and Cancer. 2016;63(1):127-132. ",2012-10-09,2012/07/18,Actual,2015/03/31,Arm 1,"6-month sports therapy program for childhood cancer patients after inpatient medical treatment (once a week, 60 minutes)",Arm 2,childhood cancer patients; no intervention,Arm 3,healthy children; no intervention,Primary Sponsor,"Deutsche Sporthochschule Köln, Institut für Kreislaufforschung und Sportmedizin, Abteilung Molekulare und Zelluläre Sportmedizin",Freerk,Baumann,Contact for Scientific Queries,"Deutsche Sporthochschule Köln, Institut für Kreislaufforschung und Sportmedizin, Abteilung Molekulare und Zelluläre Sportmedizin",Freerk,Baumann,69,"Recruiting complete, follow-up complete",yes,Monocenter trial,Paper,[---]*,"Beulertz J, Prokop A, Rustler V, Bloch W, Felsch M, Baumann FT. Effects of a 6-Month, Group-Based, Therapeutic Exercise Program for Childhood Cancer Outpatients on Motor Performance, Level of Activity, and Quality of Life. Pediatric Blood and Cancer. 2016;63(1):127-132. ",,,,,,,,,,,,
434,287,DRKS00004735,Köln,9,none,,,,,,,"kein UMC, Sporthochschule",SW,Integrability of a computer-based exercise program in the Pediatric Oncology and effects on fatigue syndrome and quality of life in pediatric oncology patients.<br/>PAPO - „Physical Activity in the Pediatric Oncology“,2013-02-13,2013/07/15,Actual,2015/02/28,Arm 1,"Computer-based exercise program for pediatric oncology patients while stationary and outpatient hospital stay during three month. Exercise program takes place once a week, duration and intensity is determined depending on day form. Guidance for the intervention duration is 30 minutes. ",,,,,Primary Sponsor,"Deutsche Sporthochschule Köln, Institut für Bewegungs- und Neurowissenschaft",[---]*,[---]*,Contact for Scientific Queries,"Deutsche Sporthochschule Köln, Institut für Bewegungs- und Neurowissenschaft",Anna-Maria,Platschek,12,"Recruiting complete, follow-up complete",yes,Monocenter trial,Paper,[---]*,[---]*,,,,,,,,,,,,
441,300,DRKS00008578,Köln,9,none,,,,,,,"kein UMC, Sporthochschule",SW,Feasibility and effects of Whole-body vibration training in pediatric cancer patients undergoing chemotherapy,2015-06-03,2015/09/11,Actual,2017/12/01,Arm 1,"Intervention group includes pediatric cancer patients (4-17 years) under chemotherapy that receive standard care and Whole-body vibration training. Standard care includes the daily offer of physiotherapy and the offer of sports therapy twice a week. Whole-body vibration training is applied 2-3x/week for 9-14 minutes (Vibration Frequency 18-30 Hz, amplitude 2 mm).",,,,,Primary Sponsor,"Deutsche Sporthochschule Köln, Insstitut für Kreislaufforschung und Sportmedizin, Abteilung molekulare und zelluläreSportmedizin",Freerk,Baumann,Contact for Scientific Queries,"Deutsche Sporthochschule Köln, Institut für Kreislaufforschung und Sportmedizin, Abteilung molekulare und zelluläre Sportmedizin",Freerk T.,Baumann,15,"Recruiting complete, follow-up complete",yes,Monocenter trial,,,,,,,,,,,,,,,
6,325,DRKS00006178,Leipzig,0,Leipzig,,,,,,,,SW,Wound Management in Post-Bariatric Surgery<br/>Investigation for the reduction of the mean drainage volume in patients after abdominoplasty / lower body lift using Artiss Fibrin Sealant in comparison to the standard procedure,2014-05-20,2014/08/08,Actual,2017/03/03,Arm 1,abdominoplasty / lower body lift using Artiss Fibrin Sealant,Arm 2,Standard abdominoplasty / lower body lift ,,,Primary Sponsor,Universität Leipzig,[---]*,[---]*,Contact for Scientific Queries,"Universitätsklinikum Leipzig AöRDepartment für operative Medizin (DOPM)Abteilung für Plastische, Ästhetische und spezielle Handchirurgie",Stefan,Langer,50,Recruiting stopped after recruiting started ,yes,Monocenter trial,,,,,,,,,,,,,,,
113,337,DRKS00003527,Magdeburg,1,Magdeburg,,https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00003527,no,26.02.2018,no,,,SW,"Ketamine in treatment resistant major depression (TRD) -<br/>A placebo controlled, double blind, randomized trial of efficacy, safety and response prediction by resting state fMRI<br/>",2012-03-07,2012/09/10,Actual,2016/04/22,Arm 1,"Patients in the verum group will receive a single intravenous ketamine hydrochloride injection (0.5mg/kg body weight, 50 ml over 40 minutes). <br/>diagnostic intervention: Resting state fMRI and MRS before and after administration will be assessed on a 7T MR scanner.",Arm 2,"healthy control subjects in the verum group will receive a single intravenous ketamine hydrochloride injection (0.5mg/kg body weight, 50 ml over 40 minutes). <br/>diagnostic intervention: Resting state fMRI and MRS before and after administration will be assessed on a 7T MR scanner.",Arm 3,Control treatment: patients allocated to the control group will receive placebo injections of 0.9 % saline (50 ml over 40 minutes) in the same fashion as the verum group,Primary Sponsor,Otto-von-Guericke University Magdeburg<br/>Medical Faculty,Hermann-Josef,Rothkötter,Contact for Scientific Queries,Clinic for Psychiatry and Psychotherapy<br/>Central Hospital Magdeburg,Martin,Walter,120,"Recruiting complete, follow-up complete",yes,Monocenter trial,Trial results,KETREST_Zusammenfassung_Abschlussbericht_20180226_final.pdf,Ketrest_Abschlussbericht_clinical trial report,,,,,,,,,,,,
258,339,DRKS00005683,Magdeburg,2,Magdeburg,10.1016/j.ebiom.2020.102712,https://www.sciencedirect.com/science/article/pii/S2352396420300876,yes,01.04.2020,no,,,SW,"""Smart insole for patients with diabetic neuropathy for the prevention of foot ulcers""",2014-01-27,2014/02/03,Actual,2016/05/26,Arm 1,"30 patients with sensorimotor neuropathy:<br/>Alternating between standing (pressure load for 5, 10 and 20 min) and in between a relief when sitting (5 min each), duplication",Arm 2,"30 healthy subjects without sensory-motor neuropathy:<br/>Alternating between standing (pressure load for 5, 10 and 20 min) and in between a relief when sitting (5 min each), duplication",,,Primary Sponsor,"Otto-von-Guericke Universität, Medizinsiche Fakultät",Hermann-Josef,Rothkötter,Contact for Scientific Queries,"Universitätsklinik für Nieren- und Hochdruckkrankheiten, Diabetologie und Endokrinologie",Peter R.,Mertens,60,"Recruiting complete, follow-up complete",yes,Monocenter trial,Trial results,Abschlussbericht_final_120617_komneu.pdf,Abschlussbericht,,,,,,,,,,,,
22,378,DRKS00004944,Munich,0,LMU,,,,,,,,NR,ALS-rules,2013-05-02,2013/11/08,Actual,2014/03/31,Arm 1,Group without intervention – conventional training for medical students with a cardiac arrest scenario in an OSCE  (Objective Structured Clinical Examinations),Arm 2,Group with intervention (ALS-rules) - conventional training for medical students with additional concise abstract using keywords in the educational script and finally a cardiac arrest scenario in an OSCE,Arm 3,Group with intervention (ALS-rules) - conventional training for medical students with additional charts in the educational script and finally a cardiac arrest scenario in an OSCE,Primary Sponsor,"Institut für Notfallmedizin und Medizinmanagement (INM), Klinikum der universität München",[---]*,[---]*,Contact for Scientific Queries,Klinikum der Universität München<br/>Institut für Notfallmedizin und Medizinmanagement<br/>Bereich Medizin,Oliver,Meyer,231,"Recruiting complete, follow-up complete",yes,Monocenter trial,Paper,[---]*,[---]*,,,,,,,,,,,,
376,384,DRKS00006093,Munich,2,LMU,,https://edoc.ub.uni-muenchen.de/26157/1/Schuetz_Swetlana.pdf,no,19.05.2020,yes,,Dissertation; publication date unclear,NR,Direct vs indirect Feedback during CPR Training,2014-04-28,2014/05/02,Actual,2014/07/25,Arm 1,Group with direct feedback – students see the manikin screen in real time,Arm 2,Group with indirect feedback – only the audience sees the manikin screen but give feedback on to the student in real time,,,Primary Sponsor,"Institut für Notfallmedizin und Medizinmanagement (INM), Klinikum der universität München",[---]*,[---]*,Contact for Scientific Queries,"Institut für Notfallmedizin und Medizinmanagement (INM), Klinikum der Universität München",Oliver,Meyer,240,"Recruiting complete, follow-up complete",yes,Monocenter trial,Paper,[---]*,[---]*,,,,,,,,,,,,
378,386,DRKS00006211,Munich,2,TU,10.1093/jn/nxx020 ,,yes,25.01.2018,yes,there was a dissertation on the trial that was published earlier (https://mediatum.ub.tum.de/1352971) not sure if we should prefer this one if there is a journal article,,NR,Impact of diet-induced obesity on gut barrier integrity and metabolic diseases in healthy subjects,2014-06-11,2013/04/30,Actual,2014/08/15,Arm 1,"24 healthy male subjects (BMI less or equal 25 kg/m²) receive an individually adapted diet for seven days with an excess of 1000kcal/day in addition to their individual total energy requirement. The macronutrient composition consists of 48 EN% fat (predominantly saturated fatty acids), 34 EN% carbohydrates and 18 EN% protein. Gut permeability, changes in gut microbiota, insulin sensitivity, peripheral immune cell sub-populations, blood pressure, pulse, metabolic rate, body composition, weight, blood parameters (fasting glucose, fasting insulin, liver function, kidney function, electrolyte, lipid profile, DNA, inflammation marker) will be measured before, after and 2 weeks after intervention.",,,,,Primary Sponsor,Bundesministerium für Bildung und Forschung Dienstsitz Berlin,[---]*,[---]*,Contact for Scientific Queries,Else Kröner-Fresenius-Zentrum für ErnährungsmedizinLehrstuhl für ErnährungsmedizinTechnische Universität München,Hans,Hauner,24,"Recruiting complete, follow-up complete",yes,Monocenter trial,,,,,,,,,,,,,,,
379,392,DRKS00009733,Munich,8,LMU,,https://n.neurology.org/content/86/16_Supplement/P2.351.short,no,04.04.2016,yes,only seems to be abstract; has not even a DOI,,NR,"Effects of Acetyl-DL-Leucine on cerebellar ataxia - a multinational, multicenter, randomized, double-blind, placebo-controlled, 2-way crossover phase III trial",2016-01-15,2016/01/25,Actual,2017/07/07,Arm 1,"Treatment with Acetyl-DL-Leucine (5 g daily) over a period of 4 weeks after a titration of dosage over a period of 2 weeks, complete duration of treatment 6 weeks. <br/>",Arm 2,Treatment with placebo over a period of 6 weeks,,,Primary Sponsor,"Klinikum der Universität München, Campus Großhadern",[---]*,[---]*,Contact for Scientific Queries,"Deutsches Zentrum für Schwindel- und Gleichgewichtsstörungen und Neurologische Klinik und Poliklinik, Campus Großhadern",Katharina,Feil,108,"Recruiting complete, follow-up complete",yes,Multicenter trial,,,,,,,,,,,,,,,
386,414,DRKS00013485,Rostock,3,Rostock,10.1111/1751-2980.12591,https://onlinelibrary.wiley.com/doi/full/10.1111/1751-2980.12591,yes,23.03.2018,no,,,MH,Influence of vitamin D administration on the intestinal bacterial composition in CD patients and healthy controls,2017-12-04,2016/11/15,Actual,2017/05/05,Arm 1,"Crohn's disease:<br/>The intervention was carried out by means of decristol 20,000 IU, every two days up to a target level between 100 and 150 nmol/l. At higher values, vitamin D substitution was suspended. The duration of the substitution was 4 weeks. ",Arm 2,"Healthy Controls:<br/>The intervention was carried out by means of decristol 20,000 IU, every two days up to a target level between 100 and 150 nmol/l. At higher values, vitamin D substitution was suspended. <br/>The duration of the substitution was 4 weeks. ",,,Primary Sponsor,Universitätsklinikum Rostock,Holger,Schäffler,Contact for Scientific Queries,Universitätsklinikum Rostock,Holger,Schäffler,17,"Recruiting complete, follow-up complete",yes,Monocenter trial,,,,,,,,,,,,,,,
149,442,DRKS00003979,Ulm,1,Ulm,10.1016/j.chiabu.2017.03.008,https://www.sciencedirect.com/science/article/pii/S014521341730100X,yes,31.03.2017,no,,,MH,Implementation and Evaluation of a Needs- and Community-Based Managed Mental Healthcare for Children and Adolescents after Abuse and Neglect - Case-Management Intervention Study,2012-07-03,2012/10/29,Actual,2017/05/04,Arm 1,"Case-Management: Allocation to a Case-Manager who is trained in acting as a broker and placing the underage CAN-child in appropriate therapy programs, to accompany the therapy process, to assist the child and its family in terms of upcoming adherence difficulties and to monitor therapy outcome.",Arm 2,Usual Care ,,,Primary Sponsor,Universitätsklinikum Ulm<br/>Klinik für Kinder- und Jugendpsychiatrie/Psychotherapie<br/><br/><br/>,Lutz,Goldbeck,Contact for Scientific Queries,Universitätsklinikum Ulm Klinik für Kinder- und Jugendpsychiatrie/Psychotherapie,Lutz,Goldbeck,152,"Recruiting complete, follow-up complete",yes,Multicenter trial,Paper,http://www.sciencedirect.com/science/article/pii/S014521341730100X,"Publikation im Journal of Child Abuse and Neglect: Effectiveness of manualized case management on utilization of evidence-based treatments for children and adolescents after maltreatment: A randomized controlled trial  von Helene Gertrud Ganser, Annika Münzer, Andreas Witt, Paul Lukas Plener, Rainer Muche, Rita Rosner, Maria Hagl, Lutz Goldbeck",Paper,https://www.ncbi.nlm.nih.gov/pubmed/25832576,"Publikation in der Fachzeitschrift Praxis der Kinderpsychologie und Kinderpsychiatrie: Verbesserter Zugang zu evidenzbasierten Therapien für psychisch kranke Kinder und Jugendliche nach Kindesmisshandlung und -missbrauch von Helene G. Ganser, Annika Münzer, Diana C. M. Seitz, Andreas Witt und Lutz Goldbeck",,,,,,,,,
151,452,DRKS00012927,Ulm,1,Ulm,,https://ijcd.quintessenz.de/index.php?doc=abstract&abstractID=40712,yes,21.06.2018,no,,worst journal website ever (predatory?) - I did not even find a doi!,MH,Template-guided implantation of one-piece ceramic implants.<br/>A prospective clinical pilot study.<br/>,2017-09-07,2017/09/18,Actual,2017/12/18,Arm 1,"Template-guided implantation of one-piece full-ceramic implants with a new, sleeveless drilling template.<br/>",,,,,Primary Sponsor,"Universitätsklinikum Ulm/Studienleiter: Prof. Dr. Ralph G. Luthardt, Klinik für Zahnärztliche Prothetik",[---]*,[---]*,Contact for Scientific Queries,"Private Praxis und Universitätsklinikum Ulm, Klinik für Zahnärztliche Prothetik",Sigmar,Schnutenhaus,12,"Recruiting complete, follow-up complete",yes,Monocenter trial,Paper,[---]*,"Precision of sleevless 3D drill guides for insertion of one-piece ceramic implants: a prospective clinical trial. S. Schnutenhaus, V. von Koenigsmarck, S. Blender, L. Ambrosius, R.G. Luthardt, H. Rudplph (2018), International Journal of Computerized Dentistry: 97-105",,,,,,,,,,,,
401,201,DRKS00005035,Hamburg,3,yes,10.1159/000505913,https://www.karger.com/Article/Pdf/505913 ,yes,19.02.2020,no,,,TB,Allocation of patients with alcohol use disorders to appropriate levels of care according to a decision algorithm based on a standardized intake assessment,2013-06-03,2013/06/09,Actual,2014/12/23,Arm 1,"The patients get an 75-minute interview, which gives treatment recommendations (MATE, Schippers et al., 2011). This interview will take place one week after admission, when somatic detoxification has been done. To evaluate health care costs, the Client Sociodemographic and Service Receipt Inventory (CSSRI; Chisholm et al., 2000) will be applied. For evaluating psychological aspects the rehabilitee management categories will be given to the patient as questionnaire (RMK; Spyra et al., 2011). The EQ-5D will be applied to asses quality of life (Prieto et al., 2003). Patients of the intervention group and the clinical staff will receive a feedback session about the results and the MATE-LOC recommendations. A feedback session will take place with the interviewer and the patient where the results and the recommendationwill be explained to the patient. Interviewer and patient will discuss the results and both will agree on one treatment for the patient together.",Arm 2,"After completing a 75 minute interview (MATE; CSSRI; Chisholm et al., 2000; EQ-5D; Prieto et al., 2003) and a questionnaire (RMK; Sprya et al., 2011), patients of the control group and the clinical staff will receive a written evaluation of the general results of the MATE interview, if patients want to know, but without a standardized treatment recommendation. A treatment recommendation will be given to the patients as the therapists usually do. ",,,Primary Sponsor,Universitätsklinikum Hamburg-Eppendorf <br/>Insitut und Poliklinik für Medizinische Psychologie,Angela,Buchholz,Contact for Scientific Queries,Universitätsklinikum Hamburg-Eppendorf<br/>Institut und Poliklinik für Medizinische Psychologie,Angela,Buchholz,286,"Recruiting complete, follow-up complete",yes,Multicenter trial,,,,,,,,,,,,,,,
421,269,DRKS00000741,Jena,3,yes,10.1001/jama.2016.7207,https://pubmed.ncbi.nlm.nih.gov/27367877/ ,yes,28.06.2016,no,,,TB,Sepsis survivors Monitoring and coordination in Outpatient Health care,2011-03-02,2011/02/28,Actual,2015/12/31,Arm 1,control group: usual care,Arm 2,"Patients of the intervention group will receive for 12 month in total a specific Disease Management Program, consisting of discharge management, patient monitoring for main sepsis complications and education of patients and treating family physicians in sepsis sequelae ",,,Primary Sponsor,Institut für Allgemeinmedizin der Friedrich Schiller Universität Jena,Jochen,Gensichen,Contact for Scientific Queries,"Institut für Allgemeinmedizin<br/>Universitätsklinikum Jena, Friedrich-Schiller-Universität",Konrad,Schmidt,290,"Recruiting complete, follow-up complete",yes,Multicenter trial,,,,,,,,,,,,,,,
419,266,DRKS00007781,Homburg,3,yes,10.1159/000502008,https://www.karger.com/Article/Abstract/502008 ,yes,01.10.2019,no,,,TB,Effect of dietary lipid modification on nonalcoholic fatty liver disease in carriers of the PNPLA3 I148M genetic variant: an open label trial,2015-03-25,2015/03/27,Actual,2016/12/20,Arm 1,"After following a two week run-in phase, subjects will be given omega 3 supplements (4g p.o. contained in 1 tablet daily) for 4 weeks.",,,,,Primary Sponsor,Saarland University Medical Center,Frank,Lammert,Contact for Scientific Queries,Saarland University Medical Center,Caroline,Stokes,20,"Recruiting complete, follow-up complete",yes,Monocenter trial,,,,,,,,,,,,,,,


953,Verifying an Alien Dictionary,54.1%,Easy,3.672929743430384, https://leetcode.com/problems/verifying-an-alien-dictionary
1249,Minimum Remove to Make Valid Parentheses,62.5%,Medium,3.495670386899169, https://leetcode.com/problems/minimum-remove-to-make-valid-parentheses
973,K Closest Points to Origin,63.8%,Medium,3.3184110303679546, https://leetcode.com/problems/k-closest-points-to-origin
238,Product of Array Except Self,60.1%,Medium,3.283232213950597, https://leetcode.com/problems/product-of-array-except-self
301,Remove Invalid Parentheses,43.3%,Hard,3.2812706407880663, https://leetcode.com/problems/remove-invalid-parentheses
680,Valid Palindrome II,36.6%,Easy,3.271459420826784, https://leetcode.com/problems/valid-palindrome-ii
560,Subarray Sum Equals K,43.9%,Medium,3.2328873827137383, https://leetcode.com/problems/subarray-sum-equals-k
273,Integer to English Words,27.1%,Hard,3.0556280261825237, https://leetcode.com/problems/integer-to-english-words
269,Alien Dictionary,33.3%,Hard,2.878368669651309, https://leetcode.com/problems/alien-dictionary
415,Add Strings,47.5%,Easy,2.7192844822779243, https://leetcode.com/problems/add-strings
158,Read N Characters Given Read4 II - Call multiple times,33.8%,Hard,2.5420251257467097, https://leetcode.com/problems/read-n-characters-given-read4-ii-call-multiple-times
124,Binary Tree Maximum Path Sum,34.3%,Hard,2.5244353385109877, https://leetcode.com/problems/binary-tree-maximum-path-sum
297,Serialize and Deserialize Binary Tree,47.5%,Hard,2.4916605427137495, https://leetcode.com/problems/serialize-and-deserialize-binary-tree
199,Binary Tree Right Side View,54.1%,Medium,2.4876454517631963, https://leetcode.com/problems/binary-tree-right-side-view
438,Find All Anagrams in a String,43.3%,Medium,2.397524297872021, https://leetcode.com/problems/find-all-anagrams-in-a-string
211,Add and Search Word - Data structure design,38.1%,Medium,2.3759545223677563, https://leetcode.com/problems/add-and-search-word-data-structure-design
278,First Bad Version,35.7%,Easy,2.1986951658365417, https://leetcode.com/problems/first-bad-version
523,Continuous Subarray Sum,24.6%,Medium,2.166716009367632, https://leetcode.com/problems/continuous-subarray-sum
23,Merge k Sorted Lists,40.2%,Hard,2.1408121493810057, https://leetcode.com/problems/merge-k-sorted-lists
125,Valid Palindrome,36.7%,Easy,2.10463501498305, https://leetcode.com/problems/valid-palindrome
426,Convert Binary Search Tree to Sorted Doubly Linked List,59.1%,Medium,2.0376808407812033, https://leetcode.com/problems/convert-binary-search-tree-to-sorted-doubly-linked-list
173,Binary Search Tree Iterator,56.6%,Medium,2.0078306132610235, https://leetcode.com/problems/binary-search-tree-iterator
67,Add Binary,45.2%,Easy,2.0006884437372294, https://leetcode.com/problems/add-binary
282,Expression Add Operators,35.5%,Hard,1.9743024644234966, https://leetcode.com/problems/expression-add-operators
340,Longest Substring with At Most K Distinct Characters,44.1%,Hard,1.9268050203671723, https://leetcode.com/problems/longest-substring-with-at-most-k-distinct-characters
215,Kth Largest Element in an Array,55.4%,Medium,1.9162899009936014, https://leetcode.com/problems/kth-largest-element-in-an-array
543,Diameter of Binary Tree,48.4%,Easy,1.9159403034429063, https://leetcode.com/problems/diameter-of-binary-tree
636,Exclusive Time of Functions,51.9%,Medium,1.9144673183856245, https://leetcode.com/problems/exclusive-time-of-functions
65,Valid Number,15.3%,Hard,1.8249221481329196, https://leetcode.com/problems/valid-number
986,Interval List Intersections,67.3%,Medium,1.7606773319042146, https://leetcode.com/problems/interval-list-intersections
76,Minimum Window Substring,34.6%,Hard,1.7452444146734871, https://leetcode.com/problems/minimum-window-substring
1428,Leftmost Column with at Least a One,46.8%,Medium,1.7410939458816417, https://leetcode.com/problems/leftmost-column-with-at-least-a-one
398,Random Pick Index,56.0%,Medium,1.739251464947996, https://leetcode.com/problems/random-pick-index
938,Range Sum of BST,81.3%,Easy,1.7183278125336303, https://leetcode.com/problems/range-sum-of-bst
311,Sparse Matrix Multiplication,61.9%,Medium,1.6183865180101145, https://leetcode.com/problems/sparse-matrix-multiplication
270,Closest Binary Search Tree Value,48.5%,Easy,1.586376093728572, https://leetcode.com/problems/closest-binary-search-tree-value
689,Maximum Sum of 3 Non-Overlapping Subarrays,46.3%,Hard,1.5757403799369294, https://leetcode.com/problems/maximum-sum-of-3-non-overlapping-subarrays
56,Merge Intervals,39.3%,Medium,1.5421333498120642, https://leetcode.com/problems/merge-intervals
31,Next Permutation,32.6%,Medium,1.4952605643210366, https://leetcode.com/problems/next-permutation
139,Word Break,40.1%,Medium,1.4806418655886273, https://leetcode.com/problems/word-break
987,Vertical Order Traversal of a Binary Tree,36.6%,Medium,1.4752728801959076, https://leetcode.com/problems/vertical-order-traversal-of-a-binary-tree
133,Clone Graph,34.8%,Medium,1.4511392078839955, https://leetcode.com/problems/clone-graph
34,Find First and Last Position of Element in Sorted Array,36.2%,Medium,1.4396247937745372, https://leetcode.com/problems/find-first-and-last-position-of-element-in-sorted-array
71,Simplify Path,32.6%,Medium,1.4382022207219085, https://leetcode.com/problems/simplify-path
88,Merge Sorted Array,39.4%,Easy,1.4313521714101423, https://leetcode.com/problems/merge-sorted-array
896,Monotonic Array,57.9%,Easy,1.4253001116063013, https://leetcode.com/problems/monotonic-array
785,Is Graph Bipartite?,47.5%,Medium,1.4051826456400964, https://leetcode.com/problems/is-graph-bipartite
721,Accounts Merge,48.8%,Medium,1.3810374792408489, https://leetcode.com/problems/accounts-merge
349,Intersection of Two Arrays,62.5%,Easy,1.3262693184793644, https://leetcode.com/problems/intersection-of-two-arrays
29,Divide Two Integers,16.4%,Medium,1.3132705131849702, https://leetcode.com/problems/divide-two-integers
249,Group Shifted Strings,55.1%,Medium,1.2602327507507307, https://leetcode.com/problems/group-shifted-strings
339,Nested List Weight Sum,74.0%,Easy,1.2338014599366327, https://leetcode.com/problems/nested-list-weight-sum
314,Binary Tree Vertical Order Traversal,45.3%,Medium,1.2247904974214212, https://leetcode.com/problems/binary-tree-vertical-order-traversal
1060,Missing Element in Sorted Array,54.5%,Medium,1.2015522948374056, https://leetcode.com/problems/missing-element-in-sorted-array
42,Trapping Rain Water,48.9%,Hard,1.195895799454225, https://leetcode.com/problems/trapping-rain-water
767,Reorganize String,48.7%,Medium,1.182457868492389, https://leetcode.com/problems/reorganize-string
708,Insert into a Sorted Circular Linked List,31.6%,Medium,1.172343257989845, https://leetcode.com/problems/insert-into-a-sorted-circular-linked-list
958,Check Completeness of a Binary Tree,52.1%,Medium,1.1632195643177228, https://leetcode.com/problems/check-completeness-of-a-binary-tree
1197,Minimum Knight Moves,36.1%,Medium,1.1562032194143523, https://leetcode.com/problems/minimum-knight-moves
236,Lowest Common Ancestor of a Binary Tree,45.7%,Medium,1.0938757493214366, https://leetcode.com/problems/lowest-common-ancestor-of-a-binary-tree
528,Random Pick with Weight,43.9%,Medium,1.0906112458600137, https://leetcode.com/problems/random-pick-with-weight
253,Meeting Rooms II,45.7%,Medium,1.0814304382893596, https://leetcode.com/problems/meeting-rooms-ii
380,Insert Delete GetRandom O(1),47.5%,Medium,1.0764926440989369, https://leetcode.com/problems/insert-delete-getrandom-o1
670,Maximum Swap,43.6%,Medium,1.0650556866604306, https://leetcode.com/problems/maximum-swap
33,Search in Rotated Sorted Array,34.5%,Medium,1.0520357838367607, https://leetcode.com/problems/search-in-rotated-sorted-array
766,Toeplitz Matrix,65.1%,Easy,0.9808292530117262, https://leetcode.com/problems/toeplitz-matrix
146,LRU Cache,33.2%,Medium,0.980036431607266, https://leetcode.com/problems/lru-cache
825,Friends Of Appropriate Ages,42.7%,Medium,0.9548282098825729, https://leetcode.com/problems/friends-of-appropriate-ages
824,Goat Latin,63.4%,Easy,0.949028440149358, https://leetcode.com/problems/goat-latin
498,Diagonal Traverse,48.2%,Medium,0.9448109538225702, https://leetcode.com/problems/diagonal-traverse
304,Range Sum Query 2D - Immutable,38.6%,Medium,0.9339964539142727, https://leetcode.com/problems/range-sum-query-2d-immutable
227,Basic Calculator II,36.9%,Medium,0.9201510193402352, https://leetcode.com/problems/basic-calculator-ii
286,Walls and Gates,54.5%,Medium,0.9182875611040503, https://leetcode.com/problems/walls-and-gates
98,Validate Binary Search Tree,27.8%,Medium,0.9132791260666902, https://leetcode.com/problems/validate-binary-search-tree
138,Copy List with Random Pointer,36.4%,Medium,0.9130873453663271, https://leetcode.com/problems/copy-list-with-random-pointer
43,Multiply Strings,33.9%,Medium,0.8901363256144234, https://leetcode.com/problems/multiply-strings
616,Add Bold Tag in String,43.1%,Medium,0.8724465334959766, https://leetcode.com/problems/add-bold-tag-in-string
921,Minimum Add to Make Parentheses Valid,73.7%,Medium,0.869631484642747, https://leetcode.com/problems/minimum-add-to-make-parentheses-valid
1123,Lowest Common Ancestor of Deepest Leaves,66.8%,Medium,0.8548064280870838, https://leetcode.com/problems/lowest-common-ancestor-of-deepest-leaves
1026,Maximum Difference Between Node and Ancestor,66.0%,Medium,0.8326883967450455, https://leetcode.com/problems/maximum-difference-between-node-and-ancestor
621,Task Scheduler,50.1%,Medium,0.830630807901992, https://leetcode.com/problems/task-scheduler
200,Number of Islands,46.8%,Medium,0.8225189427311105, https://leetcode.com/problems/number-of-islands
1216,Valid Palindrome III,47.8%,Hard,0.8187244879431477, https://leetcode.com/problems/valid-palindrome-iii
863,All Nodes Distance K in Binary Tree,55.4%,Medium,0.8044965676039516, https://leetcode.com/problems/all-nodes-distance-k-in-binary-tree
109,Convert Sorted List to Binary Search Tree,47.7%,Medium,0.778490500448878, https://leetcode.com/problems/convert-sorted-list-to-binary-search-tree
317,Shortest Distance from All Buildings,41.4%,Hard,0.7748252115742125, https://leetcode.com/problems/shortest-distance-from-all-buildings
419,Battleships in a Board,70.0%,Medium,0.734450986701181, https://leetcode.com/problems/battleships-in-a-board
246,Strobogrammatic Number,45.0%,Easy,0.6935606599952345, https://leetcode.com/problems/strobogrammatic-number
247,Strobogrammatic Number II,47.6%,Medium,0.6864254931685857, https://leetcode.com/problems/strobogrammatic-number-ii
143,Reorder List,37.1%,Medium,0.6644936178538985, https://leetcode.com/problems/reorder-list
658,Find K Closest Elements,40.9%,Medium,0.6638270433029843, https://leetcode.com/problems/find-k-closest-elements
157,Read N Characters Given Read4,34.2%,Easy,0.6437780586849429, https://leetcode.com/problems/read-n-characters-given-read4
839,Similar String Groups,38.6%,Hard,0.6425949013971141, https://leetcode.com/problems/similar-string-groups
432,All O`one Data Structure,32.4%,Hard,0.6277764653542548, https://leetcode.com/problems/all-oone-data-structure
480,Sliding Window Median,37.2%,Hard,0.6193030606504982, https://leetcode.com/problems/sliding-window-median
162,Find Peak Element,43.3%,Medium,0.6111183749147795, https://leetcode.com/problems/find-peak-element
10,Regular Expression Matching,26.8%,Hard,0.5850984373117593, https://leetcode.com/problems/regular-expression-matching
463,Island Perimeter,65.7%,Easy,0.5846665375658754, https://leetcode.com/problems/island-perimeter
1004,Max Consecutive Ones III,59.1%,Medium,0.5826782301065547, https://leetcode.com/problems/max-consecutive-ones-iii
126,Word Ladder II,22.1%,Hard,0.5693600008081126, https://leetcode.com/problems/word-ladder-ii
277,Find the Celebrity,41.8%,Medium,0.5616591289700842, https://leetcode.com/problems/find-the-celebrity
452,Minimum Number of Arrows to Burst Balloons,49.6%,Medium,0.5584397574369148, https://leetcode.com/problems/minimum-number-of-arrows-to-burst-balloons
22,Generate Parentheses,62.7%,Medium,0.553101106914229, https://leetcode.com/problems/generate-parentheses
494,Target Sum,46.3%,Medium,0.537605099367259, https://leetcode.com/problems/target-sum
865,Smallest Subtree with all the Deepest Nodes,60.8%,Medium,0.5360733767570822, https://leetcode.com/problems/smallest-subtree-with-all-the-deepest-nodes
647,Palindromic Substrings,60.6%,Medium,0.5122882232745292, https://leetcode.com/problems/palindromic-substrings
378,Kth Smallest Element in a Sorted Matrix,54.3%,Medium,0.5057807371350349, https://leetcode.com/problems/kth-smallest-element-in-a-sorted-matrix
1094,Car Pooling,56.7%,Medium,0.5042466526679481, https://leetcode.com/problems/car-pooling
15,3Sum,26.8%,Medium,0.4923847546019265, https://leetcode.com/problems/3sum
1027,Longest Arithmetic Sequence,53.4%,Medium,0.48432368302048406, https://leetcode.com/problems/longest-arithmetic-sequence
348,Design Tic-Tac-Toe,54.3%,Medium,0.47793775692115553, https://leetcode.com/problems/design-tic-tac-toe
140,Word Break II,32.6%,Hard,0.4761853504191846, https://leetcode.com/problems/word-break-ii
93,Restore IP Addresses,35.6%,Medium,0.47237108409270245, https://leetcode.com/problems/restore-ip-addresses
772,Basic Calculator III,41.3%,Hard,0.462623521948113, https://leetcode.com/problems/basic-calculator-iii
540,Single Element in a Sorted Array,57.9%,Medium,0.46172503314573243, https://leetcode.com/problems/single-element-in-a-sorted-array
1213,Intersection of Three Sorted Arrays,78.9%,Easy,0.45778473187961194, https://leetcode.com/problems/intersection-of-three-sorted-arrays
1269,Number of Ways to Stay in the Same Place After Some Steps,43.2%,Hard,0.4557571315683002, https://leetcode.com/problems/number-of-ways-to-stay-in-the-same-place-after-some-steps
329,Longest Increasing Path in a Matrix,43.4%,Hard,0.4510648782793416, https://leetcode.com/problems/longest-increasing-path-in-a-matrix
529,Minesweeper,59.1%,Medium,0.4410244101446512, https://leetcode.com/problems/minesweeper
91,Decode Ways,24.7%,Medium,0.43194955048493294, https://leetcode.com/problems/decode-ways
490,The Maze,51.4%,Medium,0.4296321995074925, https://leetcode.com/problems/the-maze
1,Two Sum,45.6%,Easy,0.42776342069905027, https://leetcode.com/problems/two-sum
50,Pow(x;n),30.3%,Medium,0.4274653596092084, https://leetcode.com/problems/powx-n
224,Basic Calculator,36.8%,Hard,0.42504615330727086, https://leetcode.com/problems/basic-calculator
1233,Remove Sub-Folders from the Filesystem,59.5%,Medium,0.4243747624654565, https://leetcode.com/problems/remove-sub-folders-from-the-filesystem
350,Intersection of Two Arrays II,51.4%,Easy,0.42028659580670896, https://leetcode.com/problems/intersection-of-two-arrays-ii
257,Binary Tree Paths,51.5%,Easy,0.4154891624073732, https://leetcode.com/problems/binary-tree-paths
8,String to Integer (atoi),15.4%,Medium,0.407141925712164, https://leetcode.com/problems/string-to-integer-atoi
163,Missing Ranges,24.3%,Medium,0.4067714440222198, https://leetcode.com/problems/missing-ranges
568,Maximum Vacation Days,40.8%,Hard,0.4036217896138752, https://leetcode.com/problems/maximum-vacation-days
364,Nested List Weight Sum II,62.8%,Medium,0.3968580334554196, https://leetcode.com/problems/nested-list-weight-sum-ii
791,Custom Sort String,65.7%,Medium,0.3900345348815187, https://leetcode.com/problems/custom-sort-string
939,Minimum Area Rectangle,51.8%,Medium,0.3885265923801231, https://leetcode.com/problems/minimum-area-rectangle
678,Valid Parenthesis String,31.0%,Medium,0.38202577837362234, https://leetcode.com/problems/valid-parenthesis-string
934,Shortest Bridge,48.2%,Medium,0.3715318913226816, https://leetcode.com/problems/shortest-bridge
121,Best Time to Buy and Sell Stock,50.5%,Easy,0.3695140839999301, https://leetcode.com/problems/best-time-to-buy-and-sell-stock
114,Flatten Binary Tree to Linked List,49.3%,Medium,0.3666595336863693, https://leetcode.com/problems/flatten-binary-tree-to-linked-list
408,Valid Word Abbreviation,30.6%,Easy,0.36101334553733055, https://leetcode.com/problems/valid-word-abbreviation
127,Word Ladder,29.6%,Medium,0.35996786713577755, https://leetcode.com/problems/word-ladder
855,Exam Room,43.1%,Medium,0.34442921752179523, https://leetcode.com/problems/exam-room
341,Flatten Nested List Iterator,52.9%,Medium,0.3426517489923298, https://leetcode.com/problems/flatten-nested-list-iterator
78,Subsets,62.0%,Medium,0.34168366615845647, https://leetcode.com/problems/subsets
963,Minimum Area Rectangle II,50.9%,Medium,0.3416302106614813, https://leetcode.com/problems/minimum-area-rectangle-ii
400,Nth Digit,31.7%,Medium,0.33647223662121295, https://leetcode.com/problems/nth-digit
3,Longest Substring Without Repeating Characters,30.4%,Medium,0.33543751206600453, https://leetcode.com/problems/longest-substring-without-repeating-characters
333,Largest BST Subtree,35.8%,Medium,0.32931497055013925, https://leetcode.com/problems/largest-bst-subtree
827,Making A Large Island,45.7%,Hard,0.32879599515977564, https://leetcode.com/problems/making-a-large-island
695,Max Area of Island,62.7%,Medium,0.32657434158263016, https://leetcode.com/problems/max-area-of-island
266,Palindrome Permutation,61.9%,Easy,0.32365154819215153, https://leetcode.com/problems/palindrome-permutation
381,Insert Delete GetRandom O(1) - Duplicates allowed,34.1%,Hard,0.32306557634109756, https://leetcode.com/problems/insert-delete-getrandom-o1-duplicates-allowed
844,Backspace String Compare,46.4%,Easy,0.32306557634109756, https://leetcode.com/problems/backspace-string-compare
692,Top K Frequent Words,51.8%,Medium,0.31457116512531025, https://leetcode.com/problems/top-k-frequent-words
549,Binary Tree Longest Consecutive Sequence II,47.0%,Medium,0.31383478526224007, https://leetcode.com/problems/binary-tree-longest-consecutive-sequence-ii
1242,Web Crawler Multithreaded,45.9%,Medium,0.30961714931803663, https://leetcode.com/problems/web-crawler-multithreaded
207,Course Schedule,43.1%,Medium,0.3071480068014249, https://leetcode.com/problems/course-schedule
536,Construct Binary Tree from String,48.3%,Medium,0.303629619668917, https://leetcode.com/problems/construct-binary-tree-from-string
1245,Tree Diameter,60.1%,Medium,0.29849298855599654, https://leetcode.com/problems/tree-diameter
332,Reconstruct Itinerary,36.7%,Medium,0.29733066556761284, https://leetcode.com/problems/reconstruct-itinerary
936,Stamping The Sequence,42.8%,Hard,0.2972515234679316, https://leetcode.com/problems/stamping-the-sequence
161,One Edit Distance,32.3%,Medium,0.28698931177288023, https://leetcode.com/problems/one-edit-distance
875,Koko Eating Bananas,52.1%,Medium,0.28493103907989104, https://leetcode.com/problems/koko-eating-bananas
32,Longest Valid Parentheses,28.4%,Hard,0.28481756175632106, https://leetcode.com/problems/longest-valid-parentheses
1424,Diagonal Traverse II,42.4%,Medium,0.28406186115878557, https://leetcode.com/problems/diagonal-traverse-ii
166,Fraction to Recurring Decimal,21.6%,Medium,0.2819404298841057, https://leetcode.com/problems/fraction-to-recurring-decimal
548,Split Array with Equal Sum,46.4%,Medium,0.2761315220005779, https://leetcode.com/problems/split-array-with-equal-sum
92,Reverse Linked List II,38.8%,Medium,0.27542168553536034, https://leetcode.com/problems/reverse-linked-list-ii
977,Squares of a Sorted Array,72.1%,Easy,0.2744368457017603, https://leetcode.com/problems/squares-of-a-sorted-array
347,Top K Frequent Elements,61.2%,Medium,0.272004511442638, https://leetcode.com/problems/top-k-frequent-elements
609,Find Duplicate File in System,59.5%,Medium,0.25388017696233983, https://leetcode.com/problems/find-duplicate-file-in-system
111,Minimum Depth of Binary Tree,37.4%,Easy,0.24735812724870243, https://leetcode.com/problems/minimum-depth-of-binary-tree
622,Design Circular Queue,43.8%,Medium,0.2454927324105261, https://leetcode.com/problems/design-circular-queue
1032,Stream of Characters,48.3%,Hard,0.24287879543594265, https://leetcode.com/problems/stream-of-characters
240,Search a 2D Matrix II,43.2%,Medium,0.24218097481422138, https://leetcode.com/problems/search-a-2d-matrix-ii
57,Insert Interval,33.5%,Hard,0.23697938397356041, https://leetcode.com/problems/insert-interval
416,Partition Equal Subset Sum,43.7%,Medium,0.23420537108328685, https://leetcode.com/problems/partition-equal-subset-sum
742,Closest Leaf in a Binary Tree,43.6%,Medium,0.23361485118150516, https://leetcode.com/problems/closest-leaf-in-a-binary-tree
129,Sum Root to Leaf Numbers,49.1%,Medium,0.2308064240597789, https://leetcode.com/problems/sum-root-to-leaf-numbers
334,Increasing Triplet Subsequence,40.0%,Medium,0.23032129090902695, https://leetcode.com/problems/increasing-triplet-subsequence
73,Set Matrix Zeroes,43.1%,Medium,0.22588530142358976, https://leetcode.com/problems/set-matrix-zeroes
428,Serialize and Deserialize N-ary Tree,59.4%,Hard,0.22567199766756846, https://leetcode.com/problems/serialize-and-deserialize-n-ary-tree
2,Add Two Numbers,33.9%,Medium,0.21782267725557036, https://leetcode.com/problems/add-two-numbers
39,Combination Sum,56.1%,Medium,0.21687574090953024, https://leetcode.com/problems/combination-sum
515,Find Largest Value in Each Tree Row,61.1%,Medium,0.21199732494007123, https://leetcode.com/problems/find-largest-value-in-each-tree-row
283,Move Zeroes,57.8%,Easy,0.21030412725932263, https://leetcode.com/problems/move-zeroes
117,Populating Next Right Pointers in Each Node II,39.1%,Medium,0.20860539286818253, https://leetcode.com/problems/populating-next-right-pointers-in-each-node-ii
20,Valid Parentheses,39.0%,Easy,0.20727582199587388, https://leetcode.com/problems/valid-parentheses
983,Minimum Cost For Tickets,60.5%,Medium,0.2028261131996316, https://leetcode.com/problems/minimum-cost-for-tickets
19,Remove Nth Node From End of List,35.2%,Medium,0.20099276793124013, https://leetcode.com/problems/remove-nth-node-from-end-of-list
352,Data Stream as Disjoint Intervals,47.3%,Hard,0.1980128865886302, https://leetcode.com/problems/data-stream-as-disjoint-intervals
637,Average of Levels in Binary Tree,63.1%,Easy,0.1972664368553499, https://leetcode.com/problems/average-of-levels-in-binary-tree
214,Shortest Palindrome,29.8%,Hard,0.19671029424605424, https://leetcode.com/problems/shortest-palindrome
53,Maximum Subarray,46.5%,Easy,0.19634219774637035, https://leetcode.com/problems/maximum-subarray
272,Closest Binary Search Tree Value II,50.5%,Hard,0.1920777317393193, https://leetcode.com/problems/closest-binary-search-tree-value-ii
75,Sort Colors,47.3%,Medium,0.19182745017125022, https://leetcode.com/problems/sort-colors
358,Rearrange String k Distance Apart,34.9%,Hard,0.19004360288786493, https://leetcode.com/problems/rearrange-string-k-distance-apart
5,Longest Palindromic Substring,29.5%,Medium,0.18726302339313927, https://leetcode.com/problems/longest-palindromic-substring
969,Pancake Sorting,67.5%,Medium,0.18336922582639836, https://leetcode.com/problems/pancake-sorting
1091,Shortest Path in Binary Matrix,38.2%,Medium,0.18312509239363786, https://leetcode.com/problems/shortest-path-in-binary-matrix
323,Number of Connected Components in an Undirected Graph,56.0%,Medium,0.18178978331691914, https://leetcode.com/problems/number-of-connected-components-in-an-undirected-graph
759,Employee Free Time,66.3%,Hard,0.1816986978513639, https://leetcode.com/problems/employee-free-time
388,Longest Absolute File Path,41.8%,Medium,0.18128582392042256, https://leetcode.com/problems/longest-absolute-file-path
40,Combination Sum II,48.2%,Medium,0.1780616138489939, https://leetcode.com/problems/combination-sum-ii
336,Palindrome Pairs,33.7%,Hard,0.17569702187832992, https://leetcode.com/problems/palindrome-pairs
319,Bulb Switcher,45.4%,Medium,0.1734438827619372, https://leetcode.com/problems/bulb-switcher
567,Permutation in String,44.4%,Medium,0.16931057302189864, https://leetcode.com/problems/permutation-in-string
116,Populating Next Right Pointers in Each Node,45.2%,Medium,0.16897814162027025, https://leetcode.com/problems/populating-next-right-pointers-in-each-node
325,Maximum Size Subarray Sum Equals k,46.8%,Medium,0.16882086957505205, https://leetcode.com/problems/maximum-size-subarray-sum-equals-k
102,Binary Tree Level Order Traversal,54.6%,Medium,0.16435828678782985, https://leetcode.com/problems/binary-tree-level-order-traversal
46,Permutations,63.5%,Medium,0.16425503646428852, https://leetcode.com/problems/permutations
280,Wiggle Sort,63.8%,Medium,0.16413412381144152, https://leetcode.com/problems/wiggle-sort
242,Valid Anagram,56.9%,Easy,0.1620140669319784, https://leetcode.com/problems/valid-anagram
724,Find Pivot Index,44.0%,Easy,0.15773063591797515, https://leetcode.com/problems/find-pivot-index
676,Implement Magic Dictionary,54.5%,Medium,0.15104025741286586, https://leetcode.com/problems/implement-magic-dictionary
230,Kth Smallest Element in a BST,60.2%,Medium,0.1474770794572995, https://leetcode.com/problems/kth-smallest-element-in-a-bst
328,Odd Even Linked List,55.7%,Medium,0.14442996827561513, https://leetcode.com/problems/odd-even-linked-list
74,Search a 2D Matrix,36.5%,Medium,0.13990475142949543, https://leetcode.com/problems/search-a-2d-matrix
160,Intersection of Two Linked Lists,40.6%,Easy,0.13857026686146906, https://leetcode.com/problems/intersection-of-two-linked-lists
1209,Remove All Adjacent Duplicates in String II,56.9%,Medium,0.13712574822724946, https://leetcode.com/problems/remove-all-adjacent-duplicates-in-string-ii
295,Find Median from Data Stream,44.3%,Hard,0.13508385924075386, https://leetcode.com/problems/find-median-from-data-stream
442,Find All Duplicates in an Array,67.8%,Medium,0.13441180353979212, https://leetcode.com/problems/find-all-duplicates-in-an-array
449,Serialize and Deserialize BST,52.0%,Medium,0.1327502812764459, https://leetcode.com/problems/serialize-and-deserialize-bst
730,Count Different Palindromic Subsequences,41.8%,Hard,0.13133600206108695, https://leetcode.com/problems/count-different-palindromic-subsequences
305,Number of Islands II,40.1%,Hard,0.1304306149462744, https://leetcode.com/problems/number-of-islands-ii
885,Spiral Matrix III,69.4%,Medium,0.1271551754852466, https://leetcode.com/problems/spiral-matrix-iii
54,Spiral Matrix,34.1%,Medium,0.12572728493821236, https://leetcode.com/problems/spiral-matrix
694,Number of Distinct Islands,56.0%,Medium,0.12516314295400602, https://leetcode.com/problems/number-of-distinct-islands
1146,Snapshot Array,37.0%,Medium,0.12154546954921416, https://leetcode.com/problems/snapshot-array
1439,Find the Kth Smallest Sum of a Matrix With Sorted Rows,59.5%,Hard,0.11918851726511835, https://leetcode.com/problems/find-the-kth-smallest-sum-of-a-matrix-with-sorted-rows
284,Peeking Iterator,45.7%,Medium,0.11901099827011974, https://leetcode.com/problems/peeking-iterator
776,Split BST,55.8%,Medium,0.11641035184441127, https://leetcode.com/problems/split-bst
435,Non-overlapping Intervals,42.9%,Medium,0.1158164666843426, https://leetcode.com/problems/non-overlapping-intervals
1275,Find Winner on a Tic Tac Toe Game,52.8%,Easy,0.11536465479210183, https://leetcode.com/problems/find-winner-on-a-tic-tac-toe-game
212,Word Search II,34.9%,Hard,0.11439698130007839, https://leetcode.com/problems/word-search-ii
674,Longest Continuous Increasing Subsequence,45.9%,Easy,0.11324303587009586, https://leetcode.com/problems/longest-continuous-increasing-subsequence
503,Next Greater Element II,56.5%,Medium,0.11242734769506908, https://leetcode.com/problems/next-greater-element-ii
1047,Remove All Adjacent Duplicates In String,68.6%,Easy,0.11181352460393465, https://leetcode.com/problems/remove-all-adjacent-duplicates-in-string
1008,Construct Binary Search Tree from Preorder Traversal,78.4%,Medium,0.11004936619718413, https://leetcode.com/problems/construct-binary-search-tree-from-preorder-traversal
137,Single Number II,52.4%,Medium,0.10746985577594965, https://leetcode.com/problems/single-number-ii
966,Vowel Spellchecker,47.2%,Medium,0.10676797542570607, https://leetcode.com/problems/vowel-spellchecker
405,Convert a Number to Hexadecimal,43.9%,Easy,0.10573219378884732, https://leetcode.com/problems/convert-a-number-to-hexadecimal
547,Friend Circles,58.6%,Medium,0.10502210097355241, https://leetcode.com/problems/friend-circles
773,Sliding Puzzle,59.3%,Hard,0.10294796925244239, https://leetcode.com/problems/sliding-puzzle
1411,Number of Ways to Paint N × 3 Grid,61.1%,Hard,0.10135249426028749, https://leetcode.com/problems/number-of-ways-to-paint-n-3-grid
223,Rectangle Area,37.8%,Medium,0.10064352577968744, https://leetcode.com/problems/rectangle-area
387,First Unique Character in a String,53.4%,Easy,0.09971390202061521, https://leetcode.com/problems/first-unique-character-in-a-string
136,Single Number,65.5%,Easy,0.09844680818822771, https://leetcode.com/problems/single-number
1053,Previous Permutation With One Swap,48.5%,Medium,0.09835932019884275, https://leetcode.com/problems/previous-permutation-with-one-swap
489,Robot Room Cleaner,69.7%,Hard,0.09769150308111128, https://leetcode.com/problems/robot-room-cleaner
394,Decode String,50.0%,Medium,0.09572009987565212, https://leetcode.com/problems/decode-string
642,Design Search Autocomplete System,44.7%,Hard,0.09500811062818718, https://leetcode.com/problems/design-search-autocomplete-system
239,Sliding Window Maximum,43.0%,Hard,0.09271146326206103, https://leetcode.com/problems/sliding-window-maximum
1062,Longest Repeating Substring,57.2%,Medium,0.09201889872025212, https://leetcode.com/problems/longest-repeating-substring
21,Merge Two Sorted Lists,53.5%,Easy,0.09110919511165776, https://leetcode.com/problems/merge-two-sorted-lists
49,Group Anagrams,56.9%,Medium,0.09101320494254857, https://leetcode.com/problems/group-anagrams
1077,Project Employees III,75.6%,Medium,0.0907652093142671, https://leetcode.com/problems/project-employees-iii
1132,Reported Posts II,34.4%,Medium,0.0903548750399561, https://leetcode.com/problems/reported-posts-ii
62,Unique Paths,54.1%,Medium,0.08965185882136445, https://leetcode.com/problems/unique-paths
995,Minimum Number of K Consecutive Bit Flips,46.8%,Hard,0.08894748601649616, https://leetcode.com/problems/minimum-number-of-k-consecutive-bit-flips
16,3Sum Closest,46.0%,Medium,0.08850538159227012, https://leetcode.com/problems/3sum-closest
25,Reverse Nodes in k-Group,42.1%,Hard,0.08835766048944313, https://leetcode.com/problems/reverse-nodes-in-k-group
788,Rotated Digits,57.1%,Easy,0.08743429938967429, https://leetcode.com/problems/rotated-digits
1113,Reported Posts,64.1%,Easy,0.08552217343816201, https://leetcode.com/problems/reported-posts
614,Second Degree Follower,30.3%,Medium,0.08479653666007693, https://leetcode.com/problems/second-degree-follower
345,Reverse Vowels of a String,44.2%,Easy,0.08413974844494757, https://leetcode.com/problems/reverse-vowels-of-a-string
443,String Compression,41.3%,Easy,0.08391368024915737, https://leetcode.com/problems/string-compression
550,Game Play Analysis IV,45.3%,Medium,0.08286311601350513, https://leetcode.com/problems/game-play-analysis-iv
44,Wildcard Matching,24.7%,Hard,0.08271909217936915, https://leetcode.com/problems/wildcard-matching
13,Roman to Integer,55.7%,Easy,0.08237818622149326, https://leetcode.com/problems/roman-to-integer
962,Maximum Width Ramp,45.4%,Medium,0.08184524810424337, https://leetcode.com/problems/maximum-width-ramp
884,Uncommon Words from Two Sentences,63.3%,Easy,0.07990051073053109, https://leetcode.com/problems/uncommon-words-from-two-sentences
208,Implement Trie (Prefix Tree),49.4%,Medium,0.07910997849332738, https://leetcode.com/problems/implement-trie-prefix-tree
128,Longest Consecutive Sequence,45.1%,Hard,0.0786603197723907, https://leetcode.com/problems/longest-consecutive-sequence
1254,Number of Closed Islands,60.5%,Medium,0.07796154146971186, https://leetcode.com/problems/number-of-closed-islands
1055,Shortest Way to Form String,56.9%,Medium,0.07681317776161672, https://leetcode.com/problems/shortest-way-to-form-string
778,Swim in Rising Water,53.1%,Hard,0.07651914983419623, https://leetcode.com/problems/swim-in-rising-water
852,Peak Index in a Mountain Array,71.6%,Easy,0.07637297878457401, https://leetcode.com/problems/peak-index-in-a-mountain-array
4,Median of Two Sorted Arrays,29.6%,Hard,0.07615745318145342, https://leetcode.com/problems/median-of-two-sorted-arrays
468,Validate IP Address,24.1%,Medium,0.07598590697792203, https://leetcode.com/problems/validate-ip-address
505,The Maze II,47.7%,Medium,0.07133147800542972, https://leetcode.com/problems/the-maze-ii
1057,Campus Bikes,57.7%,Medium,0.07107786641655695, https://leetcode.com/problems/campus-bikes
81,Search in Rotated Sorted Array II,33.0%,Medium,0.07091146875905202, https://leetcode.com/problems/search-in-rotated-sorted-array-ii
346,Moving Average from Data Stream,70.9%,Easy,0.06887402901251127, https://leetcode.com/problems/moving-average-from-data-stream
723,Candy Crush,69.2%,Medium,0.06828590786613152, https://leetcode.com/problems/candy-crush
168,Excel Sheet Column Title,31.1%,Easy,0.0676504718923617, https://leetcode.com/problems/excel-sheet-column-title
105,Construct Binary Tree from Preorder and Inorder Traversal,48.8%,Medium,0.06685522312111739, https://leetcode.com/problems/construct-binary-tree-from-preorder-and-inorder-traversal
178,Rank Scores,45.8%,Medium,0.06551667145414991, https://leetcode.com/problems/rank-scores
298,Binary Tree Longest Consecutive Sequence,47.1%,Medium,0.065169635074581, https://leetcode.com/problems/binary-tree-longest-consecutive-sequence
1108,Defanging an IP Address,87.5%,Easy,0.06413595621854226, https://leetcode.com/problems/defanging-an-ip-address
414,Third Maximum Number,30.5%,Easy,0.06304078374301514, https://leetcode.com/problems/third-maximum-number
11,Container With Most Water,50.8%,Medium,0.060358007567261264, https://leetcode.com/problems/container-with-most-water
55,Jump Game,34.6%,Medium,0.059854228581496645, https://leetcode.com/problems/jump-game
491,Increasing Subsequences,46.1%,Medium,0.058581901624802396, https://leetcode.com/problems/increasing-subsequences
1305,All Elements in Two Binary Search Trees,76.1%,Medium,0.05819353408024827, https://leetcode.com/problems/all-elements-in-two-binary-search-trees
373,Find K Pairs with Smallest Sums,36.7%,Medium,0.058155920157074034, https://leetcode.com/problems/find-k-pairs-with-smallest-sums
417,Pacific Atlantic Water Flow,41.1%,Medium,0.057523844138186606, https://leetcode.com/problems/pacific-atlantic-water-flow
312,Burst Balloons,51.8%,Hard,0.056547726798068784, https://leetcode.com/problems/burst-balloons
218,The Skyline Problem,34.6%,Hard,0.0564413109049518, https://leetcode.com/problems/the-skyline-problem
41,First Missing Positive,32.0%,Hard,0.056273635982108605, https://leetcode.com/problems/first-missing-positive
24,Swap Nodes in Pairs,50.4%,Medium,0.05465011300438079, https://leetcode.com/problems/swap-nodes-in-pairs
395,Longest Substring with At Least K Repeating Characters,41.4%,Medium,0.05371219359052555, https://leetcode.com/problems/longest-substring-with-at-least-k-repeating-characters
679,24 Game,46.4%,Hard,0.05341723749698583, https://leetcode.com/problems/24-game
597,Friend Requests I: Overall Acceptance Rate,41.0%,Easy,0.053062844975211534, https://leetcode.com/problems/friend-requests-i-overall-acceptance-rate
17,Letter Combinations of a Phone Number,46.8%,Medium,0.052632421620123555, https://leetcode.com/problems/letter-combinations-of-a-phone-number
122,Best Time to Buy and Sell Stock II,57.0%,Easy,0.05236798551731598, https://leetcode.com/problems/best-time-to-buy-and-sell-stock-ii
496,Next Greater Element I,63.8%,Easy,0.05179150912840488, https://leetcode.com/problems/next-greater-element-i
209,Minimum Size Subarray Sum,38.2%,Medium,0.05146227039335983, https://leetcode.com/problems/minimum-size-subarray-sum
681,Next Closest Time,45.0%,Medium,0.05045206096038863, https://leetcode.com/problems/next-closest-time
285,Inorder Successor in BST,40.4%,Medium,0.049569618859417214, https://leetcode.com/problems/inorder-successor-in-bst
79,Word Search,35.6%,Medium,0.04917091711296865, https://leetcode.com/problems/word-search
593,Valid Square,43.1%,Medium,0.048671406375812236, https://leetcode.com/problems/valid-square
1019,Next Greater Node In Linked List,57.4%,Medium,0.04795804429616222, https://leetcode.com/problems/next-greater-node-in-linked-list
26,Remove Duplicates from Sorted Array,45.1%,Easy,0.0476757427679509, https://leetcode.com/problems/remove-duplicates-from-sorted-array
698,Partition to K Equal Sum Subsets,45.0%,Medium,0.04685917114094188, https://leetcode.com/problems/partition-to-k-equal-sum-subsets
556,Next Greater Element III,31.7%,Medium,0.04679216150675895, https://leetcode.com/problems/next-greater-element-iii
191,Number of 1 Bits,49.8%,Easy,0.045812334709758235, https://leetcode.com/problems/number-of-1-bits
48,Rotate Image,56.7%,Medium,0.04495138786226632, https://leetcode.com/problems/rotate-image
935,Knight Dialer,45.2%,Medium,0.04445176257083384, https://leetcode.com/problems/knight-dialer
148,Sort List,42.3%,Medium,0.04408427313201935, https://leetcode.com/problems/sort-list
1498,Number of Subsequences That Satisfy the Given Sum Condition,36.7%,Medium,0.04334372921647208, https://leetcode.com/problems/number-of-subsequences-that-satisfy-the-given-sum-condition
399,Evaluate Division,51.6%,Medium,0.043089480538103624, https://leetcode.com/problems/evaluate-division
338,Counting Bits,69.5%,Medium,0.0428445715346785, https://leetcode.com/problems/counting-bits
716,Max Stack,42.6%,Easy,0.042695919196489414, https://leetcode.com/problems/max-stack
611,Valid Triangle Number,48.4%,Medium,0.04255961441879593, https://leetcode.com/problems/valid-triangle-number
669,Trim a Binary Search Tree,63.0%,Easy,0.04255961441879593, https://leetcode.com/problems/trim-a-binary-search-tree
430,Flatten a Multilevel Doubly Linked List,55.1%,Medium,0.04154283751370906, https://leetcode.com/problems/flatten-a-multilevel-doubly-linked-list
1219,Path with Maximum Gold,65.1%,Medium,0.04111576039097048, https://leetcode.com/problems/path-with-maximum-gold
37,Sudoku Solver,43.6%,Hard,0.040527833612118376, https://leetcode.com/problems/sudoku-solver
918,Maximum Sum Circular Subarray,33.7%,Medium,0.04045040846284272, https://leetcode.com/problems/maximum-sum-circular-subarray
14,Longest Common Prefix,35.4%,Easy,0.039933598017406854, https://leetcode.com/problems/longest-common-prefix
686,Repeated String Match,32.3%,Easy,0.03984590854719967, https://leetcode.com/problems/repeated-string-match
406,Queue Reconstruction by Height,66.9%,Medium,0.03949613834265583, https://leetcode.com/problems/queue-reconstruction-by-height
210,Course Schedule II,40.7%,Medium,0.03795788828372613, https://leetcode.com/problems/course-schedule-ii
1031,Maximum Sum of Two Non-Overlapping Subarrays,57.9%,Medium,0.03711000965123125, https://leetcode.com/problems/maximum-sum-of-two-non-overlapping-subarrays
206,Reverse Linked List,62.5%,Easy,0.03679633286058156, https://leetcode.com/problems/reverse-linked-list
887,Super Egg Drop,27.1%,Hard,0.03660060864484636, https://leetcode.com/problems/super-egg-drop
28,Implement strStr(),34.5%,Easy,0.03494144277828229, https://leetcode.com/problems/implement-strstr
152,Maximum Product Subarray,31.7%,Medium,0.034438665054543384, https://leetcode.com/problems/maximum-product-subarray
886,Possible Bipartition,44.2%,Medium,0.034103901828857086, https://leetcode.com/problems/possible-bipartition
1360,Number of Days Between Two Dates,48.8%,Easy,0.03401688527825427, https://leetcode.com/problems/number-of-days-between-two-dates
384,Shuffle an Array,52.8%,Medium,0.03399118781703353, https://leetcode.com/problems/shuffle-an-array
516,Longest Palindromic Subsequence,53.2%,Medium,0.0332870969222259, https://leetcode.com/problems/longest-palindromic-subsequence
1287,Element Appearing More Than 25% In Sorted Array,60.2%,Easy,0.033033556829153404, https://leetcode.com/problems/element-appearing-more-than-25-in-sorted-array
235,Lowest Common Ancestor of a Binary Search Tree,49.9%,Easy,0.032470385030784074, https://leetcode.com/problems/lowest-common-ancestor-of-a-binary-search-tree
300,Longest Increasing Subsequence,42.6%,Medium,0.03245773693742074, https://leetcode.com/problems/longest-increasing-subsequence
228,Summary Ranges,39.5%,Medium,0.03157326191609021, https://leetcode.com/problems/summary-ranges
150,Evaluate Reverse Polish Notation,36.3%,Medium,0.031526253646773944, https://leetcode.com/problems/evaluate-reverse-polish-notation
703,Kth Largest Element in a Stream,49.7%,Easy,0.031004894819414507, https://leetcode.com/problems/kth-largest-element-in-a-stream
303,Range Sum Query - Immutable,44.7%,Easy,0.029549096691749193, https://leetcode.com/problems/range-sum-query-immutable
7,Reverse Integer,25.8%,Easy,0.029372034825448746, https://leetcode.com/problems/reverse-integer
176,Second Highest Salary,31.6%,Easy,0.029252542837437355, https://leetcode.com/problems/second-highest-salary
324,Wiggle Sort II,29.9%,Medium,0.02898753687325229, https://leetcode.com/problems/wiggle-sort-ii
509,Fibonacci Number,67.2%,Easy,0.028156003871381816, https://leetcode.com/problems/fibonacci-number
472,Concatenated Words,43.7%,Hard,0.027664281472355556, https://leetcode.com/problems/concatenated-words
159,Longest Substring with At Most Two Distinct Characters,49.4%,Medium,0.02717558537896476, https://leetcode.com/problems/longest-substring-with-at-most-two-distinct-characters
437,Path Sum III,47.2%,Medium,0.02708561605844235, https://leetcode.com/problems/path-sum-iii
1379,Find a Corresponding Node of a Binary Tree in a Clone of That Tree,83.8%,Medium,0.02645656953683045, https://leetcode.com/problems/find-a-corresponding-node-of-a-binary-tree-in-a-clone-of-that-tree
979,Distribute Coins in Binary Tree,68.9%,Medium,0.026196651946570663, https://leetcode.com/problems/distribute-coins-in-binary-tree
403,Frog Jump,39.7%,Hard,0.0259249775263148, https://leetcode.com/problems/frog-jump
410,Split Array Largest Sum,44.5%,Hard,0.025807883955872597, https://leetcode.com/problems/split-array-largest-sum
90,Subsets II,47.1%,Medium,0.025497131933483772, https://leetcode.com/problems/subsets-ii
189,Rotate Array,34.7%,Easy,0.024924029676386045, https://leetcode.com/problems/rotate-array
30,Substring with Concatenation of All Words,25.4%,Hard,0.02486144206532915, https://leetcode.com/problems/substring-with-concatenation-of-all-words
662,Maximum Width of Binary Tree,41.0%,Medium,0.024116924478312346, https://leetcode.com/problems/maximum-width-of-binary-tree
307,Range Sum Query - Mutable,34.6%,Medium,0.02223549085228711, https://leetcode.com/problems/range-sum-query-mutable
221,Maximal Square,37.7%,Medium,0.022108490754203434, https://leetcode.com/problems/maximal-square
108,Convert Sorted Array to Binary Search Tree,57.9%,Easy,0.022033389270751453, https://leetcode.com/problems/convert-sorted-array-to-binary-search-tree
112,Path Sum,41.2%,Easy,0.021701651897460775, https://leetcode.com/problems/path-sum
1137,N-th Tribonacci Number,55.9%,Easy,0.02072613051711693, https://leetcode.com/problems/n-th-tribonacci-number
60,Permutation Sequence,38.4%,Hard,0.020471543980187256, https://leetcode.com/problems/permutation-sequence
392,Is Subsequence,49.2%,Easy,0.02033508842008217, https://leetcode.com/problems/is-subsequence
525,Contiguous Array,42.8%,Medium,0.01975372873623256, https://leetcode.com/problems/contiguous-array
229,Majority Element II,35.6%,Medium,0.019057270410286146, https://leetcode.com/problems/majority-element-ii
787,Cheapest Flights Within K Stops,39.3%,Medium,0.018824085245635554, https://leetcode.com/problems/cheapest-flights-within-k-stops
450,Delete Node in a BST,43.1%,Medium,0.018536211907915243, https://leetcode.com/problems/delete-node-in-a-bst
70,Climbing Stairs,47.8%,Easy,0.018323749536870576, https://leetcode.com/problems/climbing-stairs
706,Design HashMap,61.3%,Easy,0.01752893260576219, https://leetcode.com/problems/design-hashmap
993,Cousins in Binary Tree,52.0%,Easy,0.017414458368636587, https://leetcode.com/problems/cousins-in-binary-tree
1266,Minimum Time Visiting All Points,79.6%,Easy,0.017354014693151613, https://leetcode.com/problems/minimum-time-visiting-all-points
289,Game of Life,54.5%,Medium,0.0173239499317743, https://leetcode.com/problems/game-of-life
95,Unique Binary Search Trees II,40.6%,Medium,0.016856699181010838, https://leetcode.com/problems/unique-binary-search-trees-ii
145,Binary Tree Postorder Traversal,55.0%,Hard,0.01682911820009702, https://leetcode.com/problems/binary-tree-postorder-traversal
997,Find the Town Judge,50.1%,Easy,0.01677891712910938, https://leetcode.com/problems/find-the-town-judge
51,N-Queens,46.6%,Hard,0.016393809775676407, https://leetcode.com/problems/n-queens
1304,Find N Unique Integers Sum up to Zero,76.3%,Easy,0.015892269319508656, https://leetcode.com/problems/find-n-unique-integers-sum-up-to-zero
153,Find Minimum in Rotated Sorted Array,45.1%,Medium,0.014939586916186732, https://leetcode.com/problems/find-minimum-in-rotated-sorted-array
203,Remove Linked List Elements,38.6%,Easy,0.014519311324453305, https://leetcode.com/problems/remove-linked-list-elements
653,Two Sum IV - Input is a BST,55.5%,Easy,0.014224990931347289, https://leetcode.com/problems/two-sum-iv-input-is-a-bst
179,Largest Number,28.8%,Medium,0.013865040137171665, https://leetcode.com/problems/largest-number
64,Minimum Path Sum,54.5%,Medium,0.013734383449598314, https://leetcode.com/problems/minimum-path-sum
101,Symmetric Tree,46.8%,Easy,0.013553786479814183, https://leetcode.com/problems/symmetric-tree
344,Reverse String,68.5%,Easy,0.013014662307854044, https://leetcode.com/problems/reverse-string
77,Combinations,54.7%,Medium,0.01255115315451512, https://leetcode.com/problems/combinations
287,Find the Duplicate Number,55.5%,Medium,0.012335682739188652, https://leetcode.com/problems/find-the-duplicate-number
445,Add Two Numbers II,54.5%,Medium,0.01233061245747872, https://leetcode.com/problems/add-two-numbers-ii
172,Factorial Trailing Zeroes,37.8%,Easy,0.012326812480658571, https://leetcode.com/problems/factorial-trailing-zeroes
205,Isomorphic Strings,39.8%,Easy,0.011544139746865315, https://leetcode.com/problems/isomorphic-strings
733,Flood Fill,55.3%,Easy,0.011217167530924988, https://leetcode.com/problems/flood-fill
171,Excel Sheet Column Number,55.9%,Easy,0.011195191092491645, https://leetcode.com/problems/excel-sheet-column-number
104,Maximum Depth of Binary Tree,66.0%,Easy,0.011105055822701604, https://leetcode.com/problems/maximum-depth-of-binary-tree
103,Binary Tree Zigzag Level Order Traversal,48.3%,Medium,0.01063025572799205, https://leetcode.com/problems/binary-tree-zigzag-level-order-traversal
234,Palindrome Linked List,39.3%,Easy,0.010171877938733932, https://leetcode.com/problems/palindrome-linked-list
72,Edit Distance,44.8%,Hard,0.010017614452317782, https://leetcode.com/problems/edit-distance
61,Rotate List,30.0%,Medium,0.009925639799969955, https://leetcode.com/problems/rotate-list
113,Path Sum II,46.7%,Medium,0.009784813879998279, https://leetcode.com/problems/path-sum-ii
905,Sort Array By Parity,74.1%,Easy,0.009603915354180344, https://leetcode.com/problems/sort-array-by-parity
151,Reverse Words in a String,21.9%,Medium,0.009570916441992467, https://leetcode.com/problems/reverse-words-in-a-string
96,Unique Binary Search Trees,52.9%,Medium,0.009242209964820877, https://leetcode.com/problems/unique-binary-search-trees
1143,Longest Common Subsequence,58.4%,Medium,0.008835931134362285, https://leetcode.com/problems/longest-common-subsequence
63,Unique Paths II,34.6%,Medium,0.008712753874961187, https://leetcode.com/problems/unique-paths-ii
763,Partition Labels,76.1%,Medium,0.008385793376274025, https://leetcode.com/problems/partition-labels
84,Largest Rectangle in Histogram,35.2%,Hard,0.00833685528906183, https://leetcode.com/problems/largest-rectangle-in-histogram
38,Count and Say,44.6%,Easy,0.007829360800435779, https://leetcode.com/problems/count-and-say
6,ZigZag Conversion,36.3%,Medium,0.0077116248757144665, https://leetcode.com/problems/zigzag-conversion
66,Plus One,43.0%,Easy,0.007324847595025828, https://leetcode.com/problems/plus-one
36,Valid Sudoku,48.7%,Medium,0.007258242715805398, https://leetcode.com/problems/valid-sudoku
204,Count Primes,31.5%,Easy,0.007072165261362441, https://leetcode.com/problems/count-primes
118,Pascal's Triangle,52.5%,Easy,0.006749941254175012, https://leetcode.com/problems/pascals-triangle
83,Remove Duplicates from Sorted List,45.4%,Easy,0.006353261522609498, https://leetcode.com/problems/remove-duplicates-from-sorted-list
1528,Shuffle String,86.1%,Easy,0.006295047716793515, https://leetcode.com/problems/shuffle-string
237,Delete Node in a Linked List,63.8%,Easy,0.005144705881237697, https://leetcode.com/problems/delete-node-in-a-linked-list
268,Missing Number,51.7%,Easy,0.0048804391649084865, https://leetcode.com/problems/missing-number
154,Find Minimum in Rotated Sorted Array II,41.6%,Hard,0.004780123824719199, https://leetcode.com/problems/find-minimum-in-rotated-sorted-array-ii
155,Min Stack,44.5%,Easy,0.00474891074128171, https://leetcode.com/problems/min-stack
141,Linked List Cycle,41.1%,Easy,0.0034937584669245472, https://leetcode.com/problems/linked-list-cycle
94,Binary Tree Inorder Traversal,63.3%,Medium,0.0033551449021403577, https://leetcode.com/problems/binary-tree-inorder-traversal
309,Best Time to Buy and Sell Stock with Cooldown,47.4%,Medium,0.0028498166907604426, https://leetcode.com/problems/best-time-to-buy-and-sell-stock-with-cooldown
260,Single Number III,64.3%,Medium,0.0020288097849578786, https://leetcode.com/problems/single-number-iii
100,Same Tree,53.4%,Easy,0.0014080047382258295, https://leetcode.com/problems/same-tree


Task_Name,Task_ID,Experiment_Name,Experiment_ID,metric_best_epoch,metric_best_validation_LAS,metric_best_validation_UAS,metric_test_LAS,metric_test_UAS,env_BERT_WEIGHTS,env_LEARNING_RATE,env_NUM_EPOCHS,env_TRAIN_PATH
training,tk_o61ra60q9dfd,,ex_xti8akftl4dd,3,0.9107816711590296,0.9232704402515725,0.9071411162563976,0.9228613209846454,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-05,4,data/parsing/genia/train.txt
training,tk_wa5k6nf2a4j3,,ex_g8za0gexo9wv,4,0.9117999401018267,0.923959269242288,0.9072020472824762,0.9226480623933708,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-05,5,data/parsing/genia/train.txt
training,tk_8nim2r1yk46p,,ex_sw0jfnwv54zz,4,0.9112009583707696,0.9234800838574424,0.907811357543261,0.9219778211065074,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-05,5,data/parsing/genia/train.txt
training,tk_mqsb52qcz50n,,ex_98yoomykn3by,3,0.910931416591794,0.9234800838574424,0.9071106507433584,0.921916890080429,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-05,4,data/parsing/genia/train.txt
training,tk_vt0he90v07l5,,ex_gzvkmbtvxy3z,2,0.910092842168314,0.9229709493860436,0.9059529612478674,0.9213685108457228,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-05,3,data/parsing/genia/train.txt
training,tk_da245slrdboh,,ex_r4qm0xktidk2,4,0.9100329439952082,0.9224019167415394,0.9065013404825736,0.921155252254448,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-05,5,data/parsing/genia/train.txt
training,tk_e8brkfjpidmn,,ex_qp94db8m0xfb,3,0.9109913147648996,0.9226714585205152,0.9051608579088471,0.9207896660979772,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-05,4,data/parsing/genia/train.txt
training,tk_n7spnc53i62u,,ex_39vnsevegytf,3,0.9075471698113208,0.9199760407307576,0.9049171338045332,0.9204850109675848,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-05,4,data/parsing/genia/train.txt
training,tk_fo00u8vritp1,,ex_toqfxsd21zst,2,0.9088349805330938,0.921832884097035,0.9047648062393372,0.9204545454545454,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-05,3,data/parsing/genia/train.txt
training,tk_043pg8wa60ta,,ex_v0jw1nojt0js,3,0.9103623839472896,0.9225516621743036,0.9046734097002194,0.9203631489154276,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-05,4,data/parsing/genia/train.txt
training,tk_ccmiyowpmwjt,,ex_wew1gft30mvu,4,0.9069481880802636,0.9197663971248876,0.9048562027784548,0.9198757007068,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-05,5,data/parsing/genia/train.txt
training,tk_nd7wr2mnec4z,,ex_eqbyx1i9uhvz,3,0.9095837076969152,0.9220125786163522,0.9049780648306116,0.9198452351937608,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-05,4,data/parsing/genia/train.txt
training,tk_6pwk3457luf4,,ex_qqle0nsrpof5,1,0.9076370170709792,0.9211141060197664,0.9033329271264928,0.9197843041676822,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-05,2,data/parsing/genia/train.txt
training,tk_l9nbeohaw5f3,,ex_zdzlaq6uh7i7,2,0.9101527403414196,0.9230907457322552,0.9041859614915916,0.9196929076285644,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-05,3,data/parsing/genia/train.txt
training,tk_jxnw7a2qmj4b,,ex_mmuwc2ka09ay,4,0.9080862533692724,0.921203953279425,0.9028150134048256,0.9193273214720936,/scibert/scibert_basevocab_cased/weights.tar.gz,2e-05,5,data/parsing/genia/train.txt
training,tk_oajt7evbss8w,,ex_m9jr2oegl5af,4,0.9085953878406708,0.9217130877508236,0.9037289787960028,0.9192054594199366,/scibert/scibert_basevocab_cased/weights.tar.gz,2e-05,5,data/parsing/genia/train.txt
training,tk_04cy977e5zvj,,ex_yqudakxe54a6,2,0.9095537586103624,0.922491764001198,0.9036985132829636,0.9192054594199366,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-05,3,data/parsing/genia/train.txt
training,tk_wz6ztj7vc6kr,,ex_05woi4xs8rer,4,0.9074573225516622,0.9202455825097334,0.9031501340482574,0.918992200828662,/scibert/scibert_basevocab_cased/weights.tar.gz,2e-05,5,data/parsing/genia/train.txt
training,tk_0fd13nbysxs0,,ex_12drvt8dqjxh,3,0.9068283917340522,0.9202755315962864,0.9027540823787472,0.9187180112113088,/scibert/scibert_basevocab_cased/weights.tar.gz,2e-05,4,data/parsing/genia/train.txt
training,tk_l3kxedse3rqk,,ex_jmwsmknpeo56,3,0.9101826894279724,0.9226415094339624,0.9029368754569826,0.9186875456982696,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-05,4,data/parsing/genia/train.txt
training,tk_x1nuq2cl7pqv,,ex_qgaakn60cj9w,2,0.9097035040431268,0.921862833183588,0.903119668535218,0.9186570801852304,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-05,3,data/parsing/genia/train.txt
training,tk_0as2ycuocild,,ex_xe1t5j528xnm,3,0.9063492063492063,0.9199460916442048,0.9012917377528638,0.9184742871069947,/scibert/scibert_basevocab_cased/weights.tar.gz,2e-05,4,data/parsing/genia/train.txt
training,tk_vda7ystwdr7p,,ex_m4qd5gg5drti,1,0.9066786463012878,0.9199760407307576,0.9019619790397272,0.9184133560809165,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-05,2,data/parsing/genia/train.txt
training,tk_5w94keznnwpk,,ex_cc686hpg8hzo,1,0.9090745732255168,0.9221922731356692,0.9003777723616866,0.9183219595417988,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-05,2,data/parsing/genia/train.txt
training,tk_p5ada5tzet59,,ex_pvxni6ugz7ry,4,0.9063791554357592,0.9188080263551962,0.9033329271264928,0.9183219595417988,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-05,5,data/parsing/genia/train.txt
training,tk_8q6nspvsmhsr,,ex_tmagd5o76h48,1,0.9075471698113208,0.9206349206349206,0.9017182549354132,0.9182305630026808,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-05,2,data/parsing/genia/train.txt
training,tk_0jmjj9nyqymz,,ex_wdw24s6lo2ib,1,0.9047020065887992,0.9186882300089848,0.9016877894223738,0.9182305630026808,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-05,3,data/parsing/genia/train.txt
training,tk_cmtbhjtf0qbt,,ex_cn2ehn5qbkzw,3,0.9068283917340522,0.919916142557652,0.9022666341701194,0.9181391664635632,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-05,4,data/parsing/genia/train.txt
training,tk_0fyq42l9zlt8,,ex_h84bw0pyokk1,2,0.9088349805330938,0.9211440551063192,0.9020229100658056,0.9180782354374848,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-05,3,data/parsing/genia/train.txt
training,tk_zj7b023t1hsq,,ex_6gzx0g288fvo,3,0.9071278825995808,0.9195567535190176,0.9028454789178648,0.9179868388983672,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-05,4,data/parsing/genia/train.txt
training,tk_50ib1gripjy2,,ex_11ppt9fcimvf,1,0.906858340820605,0.920335429769392,0.9011394101876676,0.91786497684621,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-05,2,data/parsing/genia/train.txt
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training,tk_dqg5sg0xhmvx,,ex_pzg8e60bnsjr,3,0.8787061994609164,0.8990715783168614,0.8733548622958811,0.8964781866926639,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-06,4,data/parsing/genia/train.txt
training,tk_5odhle5odgsh,,ex_9cl8kkntj5cm,4,0.8759808325846061,0.8975741239892183,0.8732025347306849,0.8957774798927614,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-06,5,data/parsing/genia/train.txt
training,tk_0rvp7pt7ohee,,ex_ylrd7ohhnx6x,1,0.8780173704702007,0.8986522911051213,0.8733548622958811,0.8957774798927614,/scibert/bertbase_basevocab_cased/weights.tar.gz,1e-05,2,data/parsing/genia/train.txt
training,tk_vo5ibrzybfya,,ex_cyvwk0jeq6bn,1,0.879245283018868,0.8999401018268943,0.8744516207652937,0.8951681696319767,/scibert/bertbase_basevocab_cased/weights.tar.gz,1e-05,2,data/parsing/genia/train.txt
training,tk_7xvcculmw3u4,,ex_cf6f1knbkurr,3,0.8769991015274035,0.8973944294699012,0.8713441384352912,0.8949853765537412,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-06,4,data/parsing/genia/train.txt
training,tk_fu5s4iz15axl,,ex_no74b84kjv5t,1,0.8764899670560048,0.8975741239892183,0.8714964660004875,0.8946197903972702,/scibert/bertbase_basevocab_cased/weights.tar.gz,1e-05,2,data/parsing/genia/train.txt
training,tk_x2l9iafn38sk,,ex_r4zyfxpro3dt,4,0.876669661575322,0.8982330038933812,0.873080672678528,0.8944979283451133,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-06,5,data/parsing/genia/train.txt
training,tk_z296hj9pydzy,,ex_dv84zk8l9x7k,3,0.8756214435459718,0.8972446840371369,0.8703692420180356,0.8938276870582501,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-06,4,data/parsing/genia/train.txt
training,tk_6d5yfm9jfkoy,,ex_vn1iublhfnem,4,0.8765798143156633,0.8982030548068284,0.8694552766268584,0.8927613941018767,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-06,5,data/parsing/genia/train.txt
training,tk_lqu2p6wnxjq9,,ex_v0ct4tahlcag,3,0.8711290805630428,0.8941299790356394,0.8682061905922496,0.8918778942237388,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-06,4,data/parsing/genia/train.txt
training,tk_o8d94vtphdjg,,ex_4twrj0h7oqkr,2,0.8696316262353998,0.893560946391135,0.8657994150621496,0.8914513770411894,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-06,3,data/parsing/genia/train.txt
training,tk_60tg9qoik5hi,,ex_xodoaob3e9y0,3,0.8718778077268643,0.8945492662473794,0.8682061905922496,0.89102485985864,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-06,4,data/parsing/genia/train.txt
training,tk_sb898pjnk5t4,,ex_39oc8h4zji77,2,0.8717580113806529,0.8945492662473794,0.8657994150621496,0.8905678771630514,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-06,3,data/parsing/genia/train.txt
training,tk_izi9vk3yhx3b,,ex_fnr9jbo8569z,2,0.8699311171009284,0.892932015573525,0.8643980014623446,0.8900804289544236,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-06,3,data/parsing/genia/train.txt
training,tk_nbkdh4ol8orx,,ex_5691quyarjxz,2,0.8656483977238694,0.8904761904761904,0.8638191567145991,0.8899585669022666,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-06,3,data/parsing/genia/train.txt
training,tk_2ib77qwjl762,,ex_ducc3x31z1qf,2,0.8684037136867325,0.8906558849955076,0.863301242992932,0.889105532537168,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-06,3,data/parsing/genia/train.txt
training,tk_h7dj6icgvef1,,ex_ep2snf2ncbxd,3,0.8697214734950584,0.8923330338424678,0.8635449670972459,0.8880392395807946,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-06,4,data/parsing/genia/train.txt
training,tk_rehcpnrzypxh,,ex_h30ry5qjnx2r,2,0.8667265648397724,0.8905061395627434,0.8609858640019498,0.8864550329027541,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-06,3,data/parsing/genia/train.txt
training,tk_wotxoe9efrpw,,ex_oa7divxhfw8m,2,0.8631027253668763,0.8882000598981731,0.8599805020716549,0.8858457226419693,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-06,3,data/parsing/genia/train.txt
training,tk_7xgszqblu35p,,ex_vpqk7f3n6cdf,2,0.8647798742138365,0.8894579215333932,0.858335364367536,0.8839873263465757,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-06,3,data/parsing/genia/train.txt
training,tk_c23j9vzn35is,,ex_mh8x93esbot0,2,0.8605570530098832,0.8854447439353099,0.8558371922983183,0.8824031196685352,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-06,3,data/parsing/genia/train.txt
training,tk_xprx02k0kczh,,ex_ifao0ichtalm,1,0.8558550464210841,0.8827792752321054,0.8510541067511577,0.8803009992688277,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-06,2,data/parsing/genia/train.txt
training,tk_e18877219ofb,,ex_2801fb2kpvxl,1,0.8563042827193771,0.8832584606169512,0.8495003655861565,0.8791737752863759,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-06,2,data/parsing/genia/train.txt
training,tk_8e5s7kme45gh,,ex_miemhujejb39,1,0.8532794249775382,0.8825097334531297,0.8480989519863514,0.8791433097733365,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-06,2,data/parsing/genia/train.txt
training,tk_sswoez67nf3r,,ex_94pbydsaem0m,1,0.8558550464210841,0.8817610062893082,0.8489215208384109,0.8784121374603948,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-06,2,data/parsing/genia/train.txt
training,tk_3py4gle8vwxo,,ex_entinb7n2ker,1,0.8525007487271639,0.8804432464809824,0.8484950036558616,0.8783207409212771,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-06,2,data/parsing/genia/train.txt
training,tk_jatms7v6yage,,ex_5jo2u0g1pem8,1,0.851841868823001,0.879424977538185,0.8447782110650743,0.8754874482086278,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-06,2,data/parsing/genia/train.txt
training,tk_szwycdp3agfl,,ex_ewwmz5u36lwu,1,0.8485474693021863,0.876879305181192,0.8451437972215452,0.8746953448696076,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-06,2,data/parsing/genia/train.txt
training,tk_bcwcpnech1iw,,ex_wy5wea9oq31d,1,0.8503144654088051,0.8786163522012579,0.8434377284913478,0.8732330002437241,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-06,2,data/parsing/genia/train.txt
training,tk_x7neogf488ey,,ex_gitssy4uwl91,1,0.8429170410302486,0.8731356693620844,0.839142091152815,0.8713746039483304,/scibert/bertbase_basevocab_cased/weights.tar.gz,TARGET_VALUE,2,data/parsing/genia/train.txt


"id","business_name","phone","email","years_in_business","services","neighborhoods","general_info","business_page","category","website","address","rating","keyword","place"
"538462585","M&V Digital Agency","(310) 421-1820","","","","Central Hollywood, Central LA","","https://www.yellowpages.com/los-angeles-ca/mip/m-v-digital-agency-538462585?lid=538462585","Digital Printing & Imaging","https://www.mvagency.co","6600 Sunset Blvd. Suite 217Los Angeles, CA 90028","","digital+agency","Los+Angeles,+CA"
"533932424","KRSP A Digital Agency","(213) 537-2063","","","","","","https://www.yellowpages.com/los-angeles-ca/mip/krsp-a-digital-agency-533932424?lid=533932424","Internet Products & Services, Web Site Design & Services","http://krsp.co","3420 S Sepulveda BlvdLos Angeles, CA 90034","","digital+agency","Los+Angeles,+CA"
"17175759","Digital Agency Group","(323) 651-3943","","","","Mar Vista, West Los Angeles","","https://www.yellowpages.com/los-angeles-ca/mip/digital-agency-group-17175759?lid=17175759","Internet Service Providers (ISP)","","11965 Venice BlvdLos Angeles, CA 90066","","digital+agency","Los+Angeles,+CA"
"529467701","Beattie Cole Digital Marketing Agency","(213) 935-8532","hello@beattiecole.com","","","East LA, Greater Echo Park Elysian","We are Beattie cole, a digital marketing agency based in LOS Angeles. We partner with businesses in order to optimize success. Some MAY refer to US AS a digital marketers. But we like to think of ourselves AS a digital optimizers. We provide hand crafted digital marketing solutions custom tailored with your goals in mind.","https://www.yellowpages.com/los-angeles-ca/mip/beattie-cole-digital-marketing-agency-529467701?lid=529467701","Advertising Agencies, Graphic Designers, Marketing Consultants, Marketing Programs & Services","http://www.beattiecole.com","1428 Echo Park AveLos Angeles, CA 90026","","digital+agency","Los+Angeles,+CA"
"468877972","Digital Artist's Agency","(310) 788-3918","","8","","Westside, Century City, West Los Angeles","","https://www.yellowpages.com/los-angeles-ca/mip/digital-artists-agency-468877972?lid=468877972","Talent Agencies","http://d-a-a.com","2131 Century Park Ln Apt 313Los Angeles, CA 90067","","digital+agency","Los+Angeles,+CA"
"4121182","Digital Artists Agency","(310) 279-5055","bcoleman@d-a-a.com","16","","Culver-West, West Los Angeles","","https://www.yellowpages.com/los-angeles-ca/mip/digital-artists-agency-4121182?lid=4121182","Art Galleries, Dealers & Consultants","http://www.d-a-a.com","13323 W Washington BlvdLos Angeles, CA 90066","","digital+agency","Los+Angeles,+CA"
"504217224","121 - Digital Production Agency","(646) 717-1726","info@one20one.com","8","","","","https://www.yellowpages.com/los-angeles-ca/mip/121-digital-production-agency-504217224?lid=504217224","Web Site Design & Services","http://one20one.com","Los Angeles, CA 90046","","digital+agency","Los+Angeles,+CA"
"489247139","Flash Digital Agency","(323) 451-2677","","10","","Central LA, PICO, Wilshire Highlands","We are passionate about digital marketing.  Here at Flash Digital Agency we are a team of experienced and passionate digital marketers that are dedicated to helping our clients find solutions an increase their digital presence.  With Flash Digital Agency you get the custom tailored attention of a boutique agency coupled with the expertise and advance tools and technologies of one of the big guys.  We are data driven and believe in full transparency in reporting and management of your digital marketing.  We work with a broad range of clients from startups, mobile apps, national brands, regional chains, e Commerce, consultants, and more!","https://www.yellowpages.com/beverly-hills-ca/mip/flash-digital-agency-489247139?lid=489247139","Internet Marketing & Advertising, Web Site Design & Services","","8549 Wilshire Blvd suite 426Beverly Hills, CA 90211","2","digital+agency","Los+Angeles,+CA"
"15327758","Signcomm","(213) 383-2111","signcom2000@yahoo.com","28","","Central LA, Rampart Village","20+ years of experience with a 10,000 square foot facility, we can make what you want at the lowest prices! Signcomm has worked with large corporations like T-Mobile, Chase, Burger King and smaller mom and pop locations.","https://www.yellowpages.com/los-angeles-ca/mip/signcomm-15327758?lid=15327758","Signs-Erectors & Hangers, Advertising Agencies, Signs, Advertising Specialties, Printing Services, Digital Printing & Imaging, Banners, Flags & Pennants","","3214 Beverly BlvdLos Angeles, CA 90057","6","digital+agency","Los+Angeles,+CA"
"11408226","Advetising Image Group","(213) 382-1123","create@imagegroupcorp.com","17","","Wilshire Center - Koreatown, Central LA","Marketing, Design, Consultation, Strategy","https://www.yellowpages.com/los-angeles-ca/mip/advetising-image-group-11408226?lid=11408226","Engraving, Advertising Agencies, Screen Printing, Printing Services, Digital Printing & Imaging","http://www.imagegroupcorp.com","3921 Wilshire BlvdLos Angeles, CA 90010","","digital+agency","Los+Angeles,+CA"
"544948397","Amplitude Digital Inc","(213) 973-2002","hello@amplitudeagency.com","15","Search Engine Optimization (SEO), Google AdWords PPC Management, Bing &amp; Yahoo Ads PPC Management, Web Analytics, Content Marketing","","Amplitude Digital, a leading SEO and PPC search marketing agency in Los Angeles, delivers results using data-centric strategies that reduce wasteful media spend and grow revenue. We are a recipient of the Los Angeles Agency Award of Excellence, recognizing our efforts in Search Engine Optimization, Paid Search, Google Shopping Ads, Remarketing and Content Marketing. Clients depend on our veteran search experts, deep analytic methodology and real-time dashboards to keep ahead of the competition.","https://www.yellowpages.com/los-angeles-ca/mip/amplitude-digital-inc-544948397?lid=544948397","Internet Marketing & Advertising, Advertising Agencies","http://amplitudeagency.com","5792 W Jefferson Blvd #2149Los Angeles, CA 90016","","digital+agency","Los+Angeles,+CA"
"491089638","Amplitude Digital Inc","(213) 973-2002","hello@amplitudeagency.com","15","","","Amplitude Digital, a leading SEO and PPC search marketing agency in Los Angeles, delivers results using data-centric strategies that reduce wasteful media spend and grow revenue. We are a recipient of the Los Angeles Agency Award of Excellence, recognizing our efforts in Search Engine Optimization, Paid Search, Google Shopping Ads, Remarketing and Content Marketing. Clients depend on our veteran search experts, deep analytic methodology and real-time dashboards to keep ahead of the competition.","https://www.yellowpages.com/los-angeles-ca/mip/amplitude-digital-inc-491089638?lid=491089638","Internet Marketing & Advertising, Advertising Agencies","http://amplitudeagency.com","3415 S Sepulveda Blvd Ste 1157, 11th FloorLos Angeles, CA 90034","","digital+agency","Los+Angeles,+CA"
"533432367","Chambers Digital Media","(323) 452-2711","","","","","","https://www.yellowpages.com/los-angeles-ca/mip/chambers-digital-media-533432367?lid=533432367","Advertising Agencies","http://empoweredmediapr.com","1615 Wilcox AveLos Angeles, CA 90078","","digital+agency","Los+Angeles,+CA"
"526531805","Quiver Digital","(323) 424-3539","","4","","","","https://www.yellowpages.com/los-angeles-ca/mip/quiver-digital-526531805?lid=526531805","Entertainment Agencies & Bureaus, Technology-Research & Development","","5900 Wilshire Blvd Ste 1700Los Angeles, CA 90036","","digital+agency","Los+Angeles,+CA"
"461551585","Digital Dogs Casting","(323) 651-0888","","","","Central LA, Mid-City West","","https://www.yellowpages.com/los-angeles-ca/mip/digital-dogs-casting-461551585?lid=461551585","Theatrical Managers & Producers, Entertainment Agencies & Bureaus","","627 N Spaulding Ave Apt 3Los Angeles, CA 90036","","digital+agency","Los+Angeles,+CA"
"456284219","Synaptic Digital","(323) 944-0154","learnmore@synapticdigital.com","","","Central LA, Mid-City West","","https://www.yellowpages.com/los-angeles-ca/mip/synaptic-digital-456284219?lid=456284219","Advertising Agencies, Marketing Consultants, Advertising Specialties","","6404 Wilshire BlvdLos Angeles, CA 90048","","digital+agency","Los+Angeles,+CA"
"502200528","Digital Cinema Distribution","(310) 651-2601","","6","","Century City, West Los Angeles, Westside","","https://www.yellowpages.com/los-angeles-ca/mip/digital-cinema-distribution-502200528?lid=502200528","Advertising Agencies, Advertising Specialties","https://www.dcdcdistribution.com","1840 Century Park ELos Angeles, CA 90067","","digital+agency","Los+Angeles,+CA"
"531340287","Manatt Digital Media","(310) 312-4000","","","","West Los Angeles","","https://www.yellowpages.com/los-angeles-ca/mip/manatt-digital-media-531340287?lid=531340287","Advertising Agencies","http://manatt.com","11355 W Olympic BlvdLos Angeles, CA 90064","","digital+agency","Los+Angeles,+CA"
"503954246","Luz Digital Designs","(310) 933-6444","","","","","","https://www.yellowpages.com/los-angeles-ca/mip/luz-digital-designs-503954246?lid=503954246","Web Site Design & Services, Advertising Agencies, Graphic Designers","","Los Angeles, CA 90036","","digital+agency","Los+Angeles,+CA"
"23115096","Seda's Printing and Direct Mailing","(323) 469-1034","info@sedasprinting.com","31","","Central LA, Little Armenia, East Hollywood","Established, recognized, and effectively serving the Los Angeles community, as a complete printing service from design to mail, since 1984. 
 
Our state-of-the-art desktop publishing and design enables us to provide you with exceptional typesetting, design, and pre-press services. All under one roof, our printing department is fully equipped within a 10,000 square foot facility. 
 
Our knowledgeable staff have many years of experience. We can meet all of your printing requirements, whether it's single color or full color, or whether it's on plain paper or glossy stock, Seda's offers affordable, quality printing service solutions. 
 
We have experience in printing business cards, flyers, newsletters, brochures, booklets, envelopes, notepads, postcards, invitations, car magnets, forms, calendars, posters, pms, stickers, labels, and much more!","https://www.yellowpages.com/los-angeles-ca/mip/sedas-printing-and-direct-mailing-23115096?lid=23115096","Copying & Duplicating Service, Advertising Agencies, Graphic Designers, Labels, Advertising Specialties, Printing Services, Computer Printers & Supplies, Printing Services-Commercial, Data Processing Service, Mail & Shipping Services, Digital Printing & Imaging","http://www.sedasprinting.com","5335 Santa Monica BlvdLos Angeles, CA 90029","2","digital+agency","Los+Angeles,+CA"
"468916420","Digital Display Networks","(310) 827-3771","","","","Marina Del Rey, West Los Angeles, Marina del Rey","","https://www.yellowpages.com/los-angeles-ca/mip/digital-display-networks-468916420?lid=468916420","Display Designers & Producers, Marketing Consultants, Advertising Agencies","","12910 Culver Blvd Ste HLos Angeles, CA 90066","","digital+agency","Los+Angeles,+CA"
"460676526","Avozar Advertising","(323) 766-8844","contact@avozar.com","","","Central LA, Pico Union","","https://www.yellowpages.com/los-angeles-ca/mip/avozar-advertising-460676526?lid=460676526","Uniforms-Manufacturers & Wholesale, Digital Printing & Imaging, Business Cards, Print Advertising, Embroidery, Interactive Media, Advertising Agencies, Web Site Hosting, Web Site Design & Services, Embroidery Design Punching, Internet Marketing & Advertising, Screen Printing, Graphic Designers, Photographic Color Prints & Transparencies","http://www.avozar.com","1317 W 11th StLos Angeles, CA 90015","","digital+agency","Los+Angeles,+CA"
"480759574","Digital 500 Media Entertainment - CLOSED","","","","","Greater Cypress Park, East LA","","https://www.yellowpages.com/los-angeles-ca/mip/digital-500-media-entertainment-480759574?lid=480759574","Entertainment Agencies & Bureaus","","2808 Elm StLos Angeles, CA 90065","","digital+agency","Los+Angeles,+CA"
"473363189","Look And Sound Digital Agency","(213) 245-1057","","15","","Sherman Oaks, South Valley","Look And Sound Design is a full-service design and internet marketing  company based in Los Angeles, CA. We have been providing quality web  designs, brand marketing and much more for the business and artist  community since 2004.","https://www.yellowpages.com/sherman-oaks-ca/mip/look-and-sound-digital-agency-473363189?lid=473363189","Internet Marketing & Advertising, Marketing Consultants, Web Site Design & Services, Computer Software Publishers & Developers","http://lookandsound.com","13437 Ventura BlvdSherman Oaks, CA 91423","","digital+agency","Los+Angeles,+CA"
"546066256","Joystik Digital Agency","(310) 751-4158","","","","Marina del Rey, West Los Angeles","","https://www.yellowpages.com/marina-del-rey-ca/mip/joystik-digital-agency-546066256?lid=546066256","Advertising Agencies","https://joystickinteractive.com","4551 Glencoe AveMarina Del Rey, CA 90292","","digital+agency","Los+Angeles,+CA"
"520260853","8 Digital Marketing Agency","(310) 461-6515","","4","","Paramount","","https://www.yellowpages.com/paramount-ca/mip/8-digital-marketing-agency-520260853?lid=520260853","Internet Marketing & Advertising, Web Site Hosting, Graphic Designers, Marketing Consultants, Web Site Design & Services","http://www.8-digitalmarketing.com","15000 Downey aveParamount, CA 90723","","digital+agency","Los+Angeles,+CA"
"531523510","LAS Digital Agency","(213) 245-1057","","15","","Sherman Oaks, South Valley","","https://www.yellowpages.com/sherman-oaks-ca/mip/las-digital-agency-531523510?lid=531523510","Advertising Agencies, Marketing Consultants","http://lookandsound.com","13437 Ventura Blvd Ste 209Sherman Oaks, CA 91423","","digital+agency","Los+Angeles,+CA"
"523567862","Roi Digital Agency","(562) 328-8062","","","","","","https://www.yellowpages.com/whittier-ca/mip/roi-digital-agency-523567862?lid=523567862","Computer Online Services, Computer Software & Services, Computer Technical Assistance & Support Services, Computer Software Publishers & Developers","","9362 Coachman AveWhittier, CA 90605","","digital+agency","Los+Angeles,+CA"
"475798422","Vokent Creative Digital Agency","(310) 664-8075","","","","West Los Angeles, Ocean Park","","https://www.yellowpages.com/santa-monica-ca/mip/vokent-creative-digital-agency-475798422?lid=475798422","Advertising Agencies","","2433 Main StSanta Monica, CA 90405","","digital+agency","Los+Angeles,+CA"
"543987773","Impact Digital Agency","(310) 866-1637","service@impactdigitalagency.com","","Web DesignWeb DevelopmentOnline MarketingSearch Engine OptimizationPay Per Click AdvertisingSocial Media MarketingLead GenerationDigital MarketingBrandingEmail Marketing","","We are a creative digital agency specializing in web and marketing services.   We create, enhance and elevate brands through carefully crafted brand identity, website design and user experience.  We grow your visibility on search engines and provide top rankings for your important keywords.","https://www.yellowpages.com/long-beach-ca/mip/impact-digital-agency-543987773?lid=543987773","Web Site Design & Services","http://impactdigitalagency.com","5150 E Pacific Coast Highway Ste 257Long Beach, CA 90804","","digital+agency","Los+Angeles,+CA"
"528479897","Cyberset - Digital Marketing Agency","(818) 883-7277","","","","Warner Center, Woodland Hills-Warner Center, South Valley","Cyberset is a full service digital marketing agency","https://www.yellowpages.com/woodland-hills-ca/mip/cyberset-digital-marketing-agency-528479897?lid=528479897","Advertising Agencies, Advertising Specialties, Marketing Consultants","http://www.cyberset.com","6300 Canoga Ave Ste 1130Woodland Hills, CA 91367","","digital+agency","Los+Angeles,+CA"
"533624513","Smart Vizio Los Angeles SEO and Digital Marketing Agency","(818) 914-8483","","","","","","https://www.yellowpages.com/woodland-hills-ca/mip/smart-vizio-los-angeles-seo-and-digital-marketing-agency-533624513?lid=533624513","Marketing Programs & Services, Advertising Agencies","http://www.smartvizio.com/los-angeles-seo","6110 Nevada Ave Apt 213Woodland Hills, CA 91367","","digital+agency","Los+Angeles,+CA"
"533822813","Bright Age Digital Creative Agency","(818) 887-0999","adam@brightage.com","6","","South Valley, Woodland Hills-Warner Center","","https://www.yellowpages.com/woodland-hills-ca/mip/bright-age-digital-creative-agency-533822813?lid=533822813","Marketing Programs & Services","http://brightage.com","22220 Gilmore StWoodland Hills, CA 91303","","digital+agency","Los+Angeles,+CA"
"548256745","Fivespot - Digital Marketing Agency, SEO, Social Media","(818) 964-0612","amir@fivespotmarketing.com","","","Reyes Adobe","Fivespot Marketing is a Local SEO & Social Media Marketing company in Ventura County & The Conejo Valley areas. We have helped small businesses increase their sales significantly with our proven next-gen Internet Marketing solutions. Contact us today for a FREE consultation!","https://www.yellowpages.com/agoura-hills-ca/mip/fivespot-digital-marketing-agency-seo-social-media-548256745?lid=548256745","Marketing Programs & Services, Public Relations Counselors, Advertising Agencies, Graphic Designers, Marketing Consultants","https://www.fivespotmarketing.com","30343 Canwood St Ste 212Agoura Hills, CA 91301","","digital+agency","Los+Angeles,+CA"
"541697907","Fullmoon Digital Agency","(805) 285-2144","","","","","","https://www.yellowpages.com/simi-valley-ca/mip/fullmoon-digital-agency-541697907?lid=541697907","Internet Marketing & Advertising, Marketing Consultants, Advertising Agencies","http://fullmoondigital.com","1518 River Wood CtSimi Valley, CA 93063","","digital+agency","Los+Angeles,+CA"
"533332950","Digital Develop","(415) 800-3742","ome199520@gmail.com","","","","Digital Develop is a creative branding, marketing and digital agency who helps businesses with conversion driven solutions.","https://www.yellowpages.com/beverly-hills-ca/mip/digital-develop-533332950?lid=533332950","Advertising Agencies","http://www.digitaldevelop.net","9350 Wilshire BlvdBeverly Hills, CA 90212","","digital+agency","Los+Angeles,+CA"
"538373290","Collective Digital Studio","(323) 370-1500","onajhairappts@gmail.com","8","","Beverly Hills, West Los Angeles","","https://www.yellowpages.com/beverly-hills-ca/mip/collective-digital-studio-538373290?lid=538373290","Sales Organizations, Advertising Agencies","http://www.thecollective-la.com","8383 Wilshire Blvd Ste 10Beverly Hills, CA 90211","","digital+agency","Los+Angeles,+CA"
"463631191","G 2 Direct & Digital","(818) 531-0700","","12","","Media Center, Burbank","","https://www.yellowpages.com/burbank-ca/mip/g-2-direct-digital-463631191?lid=463631191","Advertising Agencies","http://g2.com","3500 W Olive Ave Ste 700Burbank, CA 91505","","digital+agency","Los+Angeles,+CA"
"528142136","Geoklix Digital Marketing","(888) 238-7576","sales@geoklix.com","","","West Los Angeles, Beverly Hills","Digital Marketing Agency","https://www.yellowpages.com/beverly-hills-ca/mip/geoklix-digital-marketing-528142136?lid=528142136","Advertising Agencies, Marketing Consultants","http://www.geoklix.com","468 N Camden DrBeverly Hills, CA 90210","","digital+agency","Los+Angeles,+CA"
"455516343","Digital Artist Management","(310) 414-6800","","19","","El Segundo","Digital Artist Management offers placement solutions for development teams, executives, programmers, artists, designers and producers with expertise in video game and interactive content development solutions. In operation for more than five years, the company maintains offices in Los Angeles and Walnut Creek in California. It serves publishers and games-related technology companies. Digital Artist Management provides career placement services for full-time and contract professionals. The company also offers on-site staffing and outplacement solutions. Its clients include BioWare, Naughty Dog, Insomniac Games and Sony Online Entertainment. Digital Artist Management is a founding member of the Professional Electronic Entertainment Recruiters Network. The company s Production Road is a full-service studio.","https://www.yellowpages.com/el-segundo-ca/mip/digital-artist-management-455516343?lid=455516343","Management Consultants, Employment Agencies","http://digitalartistmanagement.com","898 N Sepulveda BlvdEl Segundo, CA 90245","","digital+agency","Los+Angeles,+CA"
"547522505","Jive PR + Digital","(310) 753-7968","info@jiveprdigital.com","10","","Manhattan Village","Creating a product or brand is a large step for any company.  Marketing that product or managing that brand, is the hardest part.  At Jive PR + Digital, we tell stories.  We are an award-winning public relations firm and social media marketing agency that specializes in shaping stories and igniting conversations.  Whether you need custom communication with public relations, or you need to elevate your brand with social media marketing, we want to tell you story.  Contact us today for a consultation!","https://www.yellowpages.com/manhattan-beach-ca/mip/jive-pr-digital-547522505?lid=547522505","Public Relations Counselors, Advertising Agencies","http://www.jiveprdigital.com","1240 Rosecrans AveManhattan Beach, CA 90266","","digital+agency","Los+Angeles,+CA"
"503314682","Apex Digital Media","(310) 894-1218","info@apexdigitalmedia.com","","","","Los Angeles web design, advertising, and social media company.","https://www.yellowpages.com/van-nuys-ca/mip/apex-digital-media-503314682?lid=503314682","Internet Marketing & Advertising, Advertising Agencies, Graphic Designers, Video Production Services, Web Site Design & Services","http://www.apexdigitalmedia.com","14737 Oxnard StVan Nuys, CA 91411","","digital+agency","Los+Angeles,+CA"
"463584154","Orbit Digital Marketing","(818) 396-7248","","","","Central LA, Hollywood Hills West, Universal City","","https://www.yellowpages.com/universal-city-ca/mip/orbit-digital-marketing-463584154?lid=463584154","Advertising Agencies, Video Production Services, Advertising Specialties","","10 Universal City PlzUniversal City, CA 91608","","digital+agency","Los+Angeles,+CA"
"505407471","Gotunionprinting.com","(818) 282-2698","Demetrius@harmanpress.com","76","","","","https://www.yellowpages.com/north-hollywood-ca/mip/gotunionprinting-com-505407471?lid=505407471","Print Advertising, Marking & Coding Equipment, Product Design, Development & Marketing, Advertising Agencies, Digital Printing & Imaging","http://aandi.com","6840 Vineland AveNorth hollywood, CA 91605","","digital+agency","Los+Angeles,+CA"
"536696331","Atgames Digital Media Inc","(310) 286-2222","","18","","El Segundo","","https://www.yellowpages.com/el-segundo-ca/mip/atgames-digital-media-inc-536696331?lid=536696331","Advertising Agencies","http://atgamescloud.net","258 Kansas StEl Segundo, CA 90245","","digital+agency","Los+Angeles,+CA"
"467690337","Wide Group Digital Motion","(818) 344-9703","info@widegroup.net","","","West Los Angeles, Pico","","https://www.yellowpages.com/santa-monica-ca/mip/wide-group-digital-motion-467690337?lid=467690337","Advertising Agencies, Advertising Specialties","http://widegroup.net","1620 26th St Ste 300Santa Monica, CA 90404","","digital+agency","Los+Angeles,+CA"
"474676728","Prehistoric Digital","(310) 828-6120","","","","West Los Angeles, Mid-City","","https://www.yellowpages.com/santa-monica-ca/mip/prehistoric-digital-474676728?lid=474676728","Computer Graphics, Advertising Agencies, Computer Software & Services, Video Production Services, Computer Software Publishers & Developers","http://www.prehistoricdigital.com","2043 Colorado AveSanta Monica, CA 90404","","digital+agency","Los+Angeles,+CA"
"485050274","Pemberley Digital","(323) 459-4660","","","","Pico, West Los Angeles","","https://www.yellowpages.com/santa-monica-ca/mip/pemberley-digital-485050274?lid=485050274","Advertising Agencies","http://collinsncollins.com","1728 Olympic BlvdSanta Monica, CA 90404","","digital+agency","Los+Angeles,+CA"
"455772202","Digital Advertising Systems","(562) 464-3841","","21","Home Theater Systems","Whittier","","https://www.yellowpages.com/whittier-ca/mip/digital-advertising-systems-455772202?lid=455772202","Advertising Agencies, Graphic Designers, Advertising Specialties","","15025 Whittier BlvdWhittier, CA 90603","","digital+agency","Los+Angeles,+CA"
"5127205","Digital Playground Inc","(818) 376-8488","ali@digitalplayground.com","","","South Valley, Lake Balboa","","https://www.yellowpages.com/van-nuys-ca/mip/digital-playground-inc-5127205?lid=5127205","Family & Business Entertainers, Entertainment Agencies & Bureaus","http://www.digitalplayground.com","16134 Hart StVan Nuys, CA 91406","","digital+agency","Los+Angeles,+CA"
"18111089","Mark Blu Digital Media","(310) 320-6277","","17","","Torrance","","https://www.yellowpages.com/torrance-ca/mip/mark-blu-digital-media-18111089?lid=18111089","Advertising Agencies","http://www.markbludigital.com","20515 Gramercy PlTorrance, CA 90501","1","digital+agency","Los+Angeles,+CA"
"471029479","Designory Inc","(562) 624-0200","","49","","Downtown Long Beach, Promenade","The Designory is a branch subsidiary of Omnicom Group. Omnicom Group is a strategic holding company that manages a portfolio of world market leaders. Its companies operate in the disciplines of advertising, marketing services, specialty communications, interactive and digital media and media buying services. The firm has worldwide brands that include BBDO Worldwide, DDB Worldwide and TBWA Worldwide. Its leading United States-based national advertising agencies include Arnell Group, Goodby, Silverstein & Partners, GSD&M, Martin, Williams, Merkley Newman Harty Partners and Zimmerman Partners. Omnicom s diversified agency services consist of a worldwide enterprise of more than 100 companies that provide services in direct marketing consultancy, public relations, promotional marketing and specialty communications. The company s leading media agencies are part of OMG and the group consists of two full service media companies, OMD Worldwide and PHD Network, as well as several media specialist companies. The Designory is located in Long Beach, Calif., where it employs nearly 160 people.","https://www.yellowpages.com/long-beach-ca/mip/designory-inc-471029479?lid=471029479","Advertising Agencies, Graphic Designers, Digital Printing & Imaging","","211 E Ocean BlvdLong Beach, CA 90802","","digital+agency","Los+Angeles,+CA"
"535077732","Digital Owl Group","(657) 253-7070","info@digitalowlgroup.com","2","","","Digital Owl Group has worked hard to earn the reputation for best internet marketing service in Fullerton. We offer unparallel SEO marketing strategies, social media management, reputation management, and web design services. Our search engine optimization packages are tailored to fit each business' individual needs. We only use cutting edge, proven search engine marketing, and social media marketing techniques that are trusted by some of the top brands online.","https://www.yellowpages.com/fullerton-ca/mip/digital-owl-group-535077732?lid=535077732","Internet Marketing & Advertising, Advertising Specialties, Marketing Programs & Services, Internet Directories, Advertising Agencies","http://digitalowlgroup.com","2271 W Malvern Ave. Unit 272Fullerton, CA 92833","1","digital+agency","Los+Angeles,+CA"
"485461822","Navazon Digital","(818) 534-2200","","16","","Chatsworth, North Valley","Navazon Digital was started by software engineers and marketers when the internet was just getting started.  We have been writing software, creating online stores and helping our clients succeed online since the 90’s. We have deep roots in Direct to Consumer marketing from print media to infomercials and digital media.   We are much more hands on and more accessible than your average online company that may be out of state, or even out of the country.  We are based in Chatsworth, in the suburbs of Los Angeles. We visit your office and take the time to learn what makes your business unique and devise a strategy that will help surpass your competitors and get you a larger market share.  We understand business people-because we are business people.  Our entrepreneurial spirit, technical savvy and marketing experience help companies expand their business and outrank their competitors.  We've helped our clients reach Inc. 5000 in less than 2 years and we have turned small garage businesses into multi-million dollar businesses with multiple offices.  Whether you are an entrepreneur looking for a website for your start-up or an established business looking for a fresh look and a larger market share, we work hand-in-hand with you to create the website of your dreams.  Any good business owner knows- when you want the best, you hire the best.  Our number one goal is to make you happy and to grow your business because your success is our success.  We've had 100% retention rate with our clients.  Give us a call or stop by and let us show you the possibilities.","https://www.yellowpages.com/chatsworth-ca/mip/navazon-digital-485461822?lid=485461822","Internet Marketing & Advertising, Advertising Agencies, Business Coaches & Consultants, Web Site Design & Services, Computer Software Publishers & Developers","http://www.navazondigital.com","9310 Topanga Canyon Blvd Ste 100bChatsworth, CA 91311","","digital+agency","Los+Angeles,+CA"
"546968581","Digital Media World","(818) 678-6627","","","","Reseda, South Valley","","https://www.yellowpages.com/reseda-ca/mip/digital-media-world-546968581?lid=546968581","Advertising Agencies","","7420 Corbin AveReseda, CA 91335","","digital+agency","Los+Angeles,+CA"
"536606903","Prevalent Digital Media","(714) 743-3112","","","","East Anaheim","","https://www.yellowpages.com/anaheim-ca/mip/prevalent-digital-media-536606903?lid=536606903","Advertising Agencies","","542 S Barnett StAnaheim, CA 92805","","digital+agency","Los+Angeles,+CA"
"532180461","Congruent Digital","(714) 559-3622","","4","","Huntington Beach, Huntington Harbour","","https://www.yellowpages.com/huntington-beach-ca/mip/congruent-digital-532180461?lid=532180461","Internet Marketing & Advertising, Advertising Agencies, Marketing Consultants, Advertising Specialties","https://congruentdigital.com","16821 Algonquin St Ste 107Huntington Beach, CA 92649","","digital+agency","Los+Angeles,+CA"
"475513249","Digital Printing Solutions","(714) 916-3422","","7","","Huntington Beach","","https://www.yellowpages.com/huntington-beach-ca/mip/digital-printing-solutions-475513249?lid=475513249","Direct Mail Advertising, Advertising Agencies, Advertising Specialties","","8032 Mermaid CirHuntington Beach, CA 92646","","digital+agency","Los+Angeles,+CA"
"535212288","Legacy Digital Productions","(949) 757-0993","info@legacydigital.net","17","","","","https://www.yellowpages.com/orange-ca/mip/legacy-digital-productions-535212288?lid=535212288","Video Production Services, Recording Service-Sound & Video, CD, DVD & Cassette Duplicating Services, Advertising Agencies","","202 W Lincoln Ave Ste AOrange, CA 92865","","digital+agency","Los+Angeles,+CA"
"503120458","Datasat Digital Entertainment","(805) 306-5956","","26","","","","https://www.yellowpages.com/simi-valley-ca/mip/datasat-digital-entertainment-503120458?lid=503120458","Family & Business Entertainers, Entertainment Agencies & Bureaus","http://www.datasatdigital.com","4596 Ish DrSimi Valley, CA 93063","","digital+agency","Los+Angeles,+CA"
"470553946","Digital Eye Media","(949) 333-8953","sales@digitaleyemedia.com","","","John Wayne Airport","","https://www.yellowpages.com/costa-mesa-ca/mip/digital-eye-media-470553946?lid=470553946","Internet Marketing & Advertising, Advertising Agencies","http://www.digitaleyemedia.com","3132 Airway AveCosta Mesa, CA 92626","","digital+agency","Los+Angeles,+CA"
"483305879","Digital Media Wire Inc","(310) 855-0033","","9","","","","https://www.yellowpages.com/nationwide/mip/digital-media-wire-inc-483305879?lid=483305879","Publishing Consultants, Advertising Agencies","http://www.jmsdigi.com","Serving the Los Angeles Area","","digital+agency","Los+Angeles,+CA"
"480807875","Digital Revolution - CLOSED","(562) 595-9454","info@the-digitalrevolution.com","","","Bixby Knolls","","https://www.yellowpages.com/long-beach-ca/mip/digital-revolution-480807875?lid=480807875","Computer Graphics, Advertising Agencies","","4134 Atlantic Ave Ste 201Long Beach, CA 90807","","digital+agency","Los+Angeles,+CA"
"10660822","Sunset Digital Video Inc - CLOSED","","","","","Holly Glen - Del Aire, Hawthorne","","https://www.yellowpages.com/hawthorne-ca/mip/sunset-digital-video-inc-10660822?lid=10660822","Advertising Agencies","","13405 Inglewood AveHawthorne, CA 90250","","digital+agency","Los+Angeles,+CA"


ISO3,Location,DataId,Indicator,Value,Precision,DHS_CountryCode,CountryName,SurveyYear,SurveyId,IndicatorId,IndicatorOrder,IndicatorType,CharacteristicId,CharacteristicOrder,CharacteristicCategory,CharacteristicLabel,ByVariableId,ByVariableLabel,IsTotal,IsPreferred,SDRID,RegionId,SurveyYearLabel,SurveyType,DenominatorWeighted,DenominatorUnweighted,CILow,CIHigh
#country+code,#loc+name,#meta+id,#indicator+name,#indicator+value+num,#indicator+precision,,#country+name,#date+year,#survey+id,#indicator+code,,,,,,,#indicator+label+code,#indicator+label,,,,,,,,,,
AFG,Kabul,2054706,Total fertility rate 15-49,4.6,1,AF,Afghanistan,2015,AF2015DHS,FE_FRTR_W_TFR,11763080,I,534001,1534001,Region,Kabul,0,,0,1,FEFRTRWTFR,AFDHS2015534001,2015,DHS,,,,
AFG,Paktika,2059715,Total fertility rate 15-49,5.3,1,AF,Afghanistan,2015,AF2015DHS,FE_FRTR_W_TFR,11763080,I,534012,1534012,Region,..Paktika,0,,0,1,FEFRTRWTFR,AFDHS2015534012,2015,DHS,,,,
AFG,Badakhshan,2054719,Total fertility rate 15-49,5.3,1,AF,Afghanistan,2015,AF2015DHS,FE_FRTR_W_TFR,11763080,I,534017,1534017,Region,Badakhshan,0,,0,1,FEFRTRWTFR,AFDHS2015534017,2015,DHS,,,,
AFG,Daykundi,2057252,Total fertility rate 15-49,5.2,1,AF,Afghanistan,2015,AF2015DHS,FE_FRTR_W_TFR,11763080,I,534024,1534024,Region,Daykundi,0,,0,1,FEFRTRWTFR,AFDHS2015534024,2015,DHS,,,,
AFG,Zabul,2052669,Total fertility rate 15-49,5.1,1,AF,Afghanistan,2015,AF2015DHS,FE_FRTR_W_TFR,11763080,I,534026,1534026,Region,Zabul,0,,0,1,FEFRTRWTFR,AFDHS2015534026,2015,DHS,,,,
AFG,Kabul,2507369,Married women currently using any method of contraception,32.1,1,AF,Afghanistan,2015,AF2015DHS,FP_CUSM_W_ANY,32633010,I,534001,1534001,Region,Kabul,0,,0,1,FPCUSMWANY,AFDHS2015534001,2015,DHS,3571,737,,
AFG,Paktika,670283,Married women currently using any method of contraception,28.9,1,AF,Afghanistan,2015,AF2015DHS,FP_CUSM_W_ANY,32633010,I,534012,1534012,Region,..Paktika,0,,0,1,FPCUSMWANY,AFDHS2015534012,2015,DHS,779,1096,,
AFG,Badakhshan,3670107,Married women currently using any method of contraception,7.8,1,AF,Afghanistan,2015,AF2015DHS,FP_CUSM_W_ANY,32633010,I,534017,1534017,Region,Badakhshan,0,,0,1,FPCUSMWANY,AFDHS2015534017,2015,DHS,968,802,,
AFG,Daykundi,836859,Married women currently using any method of contraception,11,1,AF,Afghanistan,2015,AF2015DHS,FP_CUSM_W_ANY,32633010,I,534024,1534024,Region,Daykundi,0,,0,1,FPCUSMWANY,AFDHS2015534024,2015,DHS,319,648,,
AFG,Zabul,499194,Married women currently using any method of contraception,26.7,1,AF,Afghanistan,2015,AF2015DHS,FP_CUSM_W_ANY,32633010,I,534026,1534026,Region,Zabul,0,,0,1,FPCUSMWANY,AFDHS2015534026,2015,DHS,20,170,,
AFG,Kabul,2507370,Married women currently using any modern method of contraception,26.5,1,AF,Afghanistan,2015,AF2015DHS,FP_CUSM_W_MOD,32633020,I,534001,1534001,Region,Kabul,0,,0,1,FPCUSMWMOD,AFDHS2015534001,2015,DHS,3571,737,,
AFG,Paktika,670284,Married women currently using any modern method of contraception,26.1,1,AF,Afghanistan,2015,AF2015DHS,FP_CUSM_W_MOD,32633020,I,534012,1534012,Region,..Paktika,0,,0,1,FPCUSMWMOD,AFDHS2015534012,2015,DHS,779,1096,,
AFG,Badakhshan,3670108,Married women currently using any modern method of contraception,7.2,1,AF,Afghanistan,2015,AF2015DHS,FP_CUSM_W_MOD,32633020,I,534017,1534017,Region,Badakhshan,0,,0,1,FPCUSMWMOD,AFDHS2015534017,2015,DHS,968,802,,
AFG,Daykundi,836860,Married women currently using any modern method of contraception,11,1,AF,Afghanistan,2015,AF2015DHS,FP_CUSM_W_MOD,32633020,I,534024,1534024,Region,Daykundi,0,,0,1,FPCUSMWMOD,AFDHS2015534024,2015,DHS,319,648,,
AFG,Zabul,499195,Married women currently using any modern method of contraception,26.7,1,AF,Afghanistan,2015,AF2015DHS,FP_CUSM_W_MOD,32633020,I,534026,1534026,Region,Zabul,0,,0,1,FPCUSMWMOD,AFDHS2015534026,2015,DHS,20,170,,
AFG,Kabul,2958785,Unmet need for family planning,26,1,AF,Afghanistan,2015,AF2015DHS,FP_NADM_W_UNT,32933030,I,534001,1534001,Region,Kabul,0,,0,1,FPNADMWUNT,AFDHS2015534001,2015,DHS,3571,737,,
AFG,Paktika,2696371,Unmet need for family planning,20.3,1,AF,Afghanistan,2015,AF2015DHS,FP_NADM_W_UNT,32933030,I,534012,1534012,Region,..Paktika,0,,0,1,FPNADMWUNT,AFDHS2015534012,2015,DHS,779,1096,,
AFG,Badakhshan,2507526,Unmet need for family planning,39.1,1,AF,Afghanistan,2015,AF2015DHS,FP_NADM_W_UNT,32933030,I,534017,1534017,Region,Badakhshan,0,,0,1,FPNADMWUNT,AFDHS2015534017,2015,DHS,968,802,,
AFG,Daykundi,2508918,Unmet need for family planning,36.2,1,AF,Afghanistan,2015,AF2015DHS,FP_NADM_W_UNT,32933030,I,534024,1534024,Region,Daykundi,0,,0,1,FPNADMWUNT,AFDHS2015534024,2015,DHS,319,648,,
AFG,Zabul,3698311,Unmet need for family planning,25.3,1,AF,Afghanistan,2015,AF2015DHS,FP_NADM_W_UNT,32933030,I,534026,1534026,Region,Zabul,0,,0,1,FPNADMWUNT,AFDHS2015534026,2015,DHS,20,170,,
AFG,Kabul,448663,Demand for family planning satisfied by modern methods,45.6,1,AF,Afghanistan,2015,AF2015DHS,FP_NADM_W_PDM,32933150,I,534001,1534001,Region,Kabul,0,,0,1,FPNADMWPDM,AFDHS2015534001,2015,DHS,2074,435,,
AFG,Paktika,2777704,Demand for family planning satisfied by modern methods,52.9,1,AF,Afghanistan,2015,AF2015DHS,FP_NADM_W_PDM,32933150,I,534012,1534012,Region,..Paktika,0,,0,1,FPNADMWPDM,AFDHS2015534012,2015,DHS,383,545,,
AFG,Badakhshan,2507518,Demand for family planning satisfied by modern methods,15.3,1,AF,Afghanistan,2015,AF2015DHS,FP_NADM_W_PDM,32933150,I,534017,1534017,Region,Badakhshan,0,,0,1,FPNADMWPDM,AFDHS2015534017,2015,DHS,454,400,,
AFG,Daykundi,3938518,Demand for family planning satisfied by modern methods,23.4,1,AF,Afghanistan,2015,AF2015DHS,FP_NADM_W_PDM,32933150,I,534024,1534024,Region,Daykundi,0,,0,1,FPNADMWPDM,AFDHS2015534024,2015,DHS,151,327,,
AFG,Zabul,2506228,Demand for family planning satisfied by modern methods,51.3,1,AF,Afghanistan,2015,AF2015DHS,FP_NADM_W_PDM,32933150,I,534026,1534026,Region,Zabul,0,,0,1,FPNADMWPDM,AFDHS2015534026,2015,DHS,10,92,,
AFG,Kabul,1092086,Median age at first marriage [Women]: 25-49,19.2,1,AF,Afghanistan,2015,AF2015DHS,MA_AAFM_W_M2B,41633090,I,534001,1534001,Region,Kabul,0,,0,1,MAAAFMWM2B,AFDHS2015534001,2015,DHS,,,,
AFG,Paktika,1093748,Median age at first marriage [Women]: 25-49,20.5,1,AF,Afghanistan,2015,AF2015DHS,MA_AAFM_W_M2B,41633090,I,534012,1534012,Region,..Paktika,0,,0,1,MAAAFMWM2B,AFDHS2015534012,2015,DHS,,,,
AFG,Badakhshan,1092175,Median age at first marriage [Women]: 25-49,17.3,1,AF,Afghanistan,2015,AF2015DHS,MA_AAFM_W_M2B,41633090,I,534017,1534017,Region,Badakhshan,0,,0,1,MAAAFMWM2B,AFDHS2015534017,2015,DHS,,,,
AFG,Daykundi,1090868,Median age at first marriage [Women]: 25-49,17.5,1,AF,Afghanistan,2015,AF2015DHS,MA_AAFM_W_M2B,41633090,I,534024,1534024,Region,Daykundi,0,,0,1,MAAAFMWM2B,AFDHS2015534024,2015,DHS,,,,
AFG,Zabul,1089025,Median age at first marriage [Women]: 25-49,18.6,1,AF,Afghanistan,2015,AF2015DHS,MA_AAFM_W_M2B,41633090,I,534026,1534026,Region,Zabul,0,,0,1,MAAAFMWM2B,AFDHS2015534026,2015,DHS,,,,
AFG,Kabul,1092285,Median age at first sexual intercourse [Women]: 25-49,19.3,1,AF,Afghanistan,2015,AF2015DHS,SX_AAFS_W_M2B,51703090,I,534001,1534001,Region,Kabul,0,,0,1,SXAAFSWM2B,AFDHS2015534001,2015,DHS,,,,
AFG,Paktika,1093992,Median age at first sexual intercourse [Women]: 25-49,20.8,1,AF,Afghanistan,2015,AF2015DHS,SX_AAFS_W_M2B,51703090,I,534012,1534012,Region,..Paktika,0,,0,1,SXAAFSWM2B,AFDHS2015534012,2015,DHS,,,,
AFG,Badakhshan,1092366,Median age at first sexual intercourse [Women]: 25-49,17.7,1,AF,Afghanistan,2015,AF2015DHS,SX_AAFS_W_M2B,51703090,I,534017,1534017,Region,Badakhshan,0,,0,1,SXAAFSWM2B,AFDHS2015534017,2015,DHS,,,,
AFG,Daykundi,1091006,Median age at first sexual intercourse [Women]: 25-49,18.9,1,AF,Afghanistan,2015,AF2015DHS,SX_AAFS_W_M2B,51703090,I,534024,1534024,Region,Daykundi,0,,0,1,SXAAFSWM2B,AFDHS2015534024,2015,DHS,,,,
AFG,Zabul,1089236,Median age at first sexual intercourse [Women]: 25-49,19,1,AF,Afghanistan,2015,AF2015DHS,SX_AAFS_W_M2B,51703090,I,534026,1534026,Region,Zabul,0,,0,1,SXAAFSWM2B,AFDHS2015534026,2015,DHS,,,,
AFG,Kabul,1635004,Infant mortality rate,36,0,AF,Afghanistan,2015,AF2015DHS,CM_ECMR_C_IMR,63206030,I,534001,1534001,Region,Kabul,14003,Ten years preceding the survey,0,1,CMECMRCIMR,AFDHS2015534001,2015,DHS,,,26,46
AFG,Paktika,1062631,Infant mortality rate,13,0,AF,Afghanistan,2015,AF2015DHS,CM_ECMR_C_IMR,63206030,I,534012,1534012,Region,..Paktika,14003,Ten years preceding the survey,0,1,CMECMRCIMR,AFDHS2015534012,2015,DHS,,,8,19
AFG,Badakhshan,1035464,Infant mortality rate,68,0,AF,Afghanistan,2015,AF2015DHS,CM_ECMR_C_IMR,63206030,I,534017,1534017,Region,Badakhshan,14003,Ten years preceding the survey,0,1,CMECMRCIMR,AFDHS2015534017,2015,DHS,,,48,88
AFG,Daykundi,1013790,Infant mortality rate,28,0,AF,Afghanistan,2015,AF2015DHS,CM_ECMR_C_IMR,63206030,I,534024,1534024,Region,Daykundi,14003,Ten years preceding the survey,0,1,CMECMRCIMR,AFDHS2015534024,2015,DHS,,,18,39
AFG,Zabul,1641489,Infant mortality rate,17,0,AF,Afghanistan,2015,AF2015DHS,CM_ECMR_C_IMR,63206030,I,534026,1534026,Region,Zabul,14003,Ten years preceding the survey,0,1,CMECMRCIMR,AFDHS2015534026,2015,DHS,,,0,34
AFG,Kabul,1045570,Under-five mortality rate,43,0,AF,Afghanistan,2015,AF2015DHS,CM_ECMR_C_U5M,63206050,I,534001,1534001,Region,Kabul,14003,Ten years preceding the survey,0,1,CMECMRCU5M,AFDHS2015534001,2015,DHS,,,31,55
AFG,Paktika,1640984,Under-five mortality rate,21,0,AF,Afghanistan,2015,AF2015DHS,CM_ECMR_C_U5M,63206050,I,534012,1534012,Region,..Paktika,14003,Ten years preceding the survey,0,1,CMECMRCU5M,AFDHS2015534012,2015,DHS,,,13,28
AFG,Badakhshan,1639460,Under-five mortality rate,107,0,AF,Afghanistan,2015,AF2015DHS,CM_ECMR_C_U5M,63206050,I,534017,1534017,Region,Badakhshan,14003,Ten years preceding the survey,0,1,CMECMRCU5M,AFDHS2015534017,2015,DHS,,,73,141
AFG,Daykundi,1641545,Under-five mortality rate,41,0,AF,Afghanistan,2015,AF2015DHS,CM_ECMR_C_U5M,63206050,I,534024,1534024,Region,Daykundi,14003,Ten years preceding the survey,0,1,CMECMRCU5M,AFDHS2015534024,2015,DHS,,,29,54
AFG,Zabul,1642938,Under-five mortality rate,21,0,AF,Afghanistan,2015,AF2015DHS,CM_ECMR_C_U5M,63206050,I,534026,1534026,Region,Zabul,14003,Ten years preceding the survey,0,1,CMECMRCU5M,AFDHS2015534026,2015,DHS,,,4,38
AFG,Kabul,1189677,Place of delivery: Health facility,83.6,1,AF,Afghanistan,2015,AF2015DHS,RH_DELP_C_DHF,83566070,I,534001,1534001,Region,Kabul,14000,Three years preceding the survey,0,0,RHDELPCDHF,AFDHS2015534001,2015,DHS,2377,466,,
AFG,Kabul,466343,Place of delivery: Health facility,82.4,1,AF,Afghanistan,2015,AF2015DHS,RH_DELP_C_DHF,83566070,I,534001,1534001,Region,Kabul,14001,Five years preceding the survey,0,1,RHDELPCDHF,AFDHS2015534001,2015,DHS,3769,769,,
AFG,Paktika,466314,Place of delivery: Health facility,41.2,1,AF,Afghanistan,2015,AF2015DHS,RH_DELP_C_DHF,83566070,I,534012,1534012,Region,..Paktika,14000,Three years preceding the survey,0,0,RHDELPCDHF,AFDHS2015534012,2015,DHS,507,705,,
AFG,Paktika,1195792,Place of delivery: Health facility,35.8,1,AF,Afghanistan,2015,AF2015DHS,RH_DELP_C_DHF,83566070,I,534012,1534012,Region,..Paktika,14001,Five years preceding the survey,0,1,RHDELPCDHF,AFDHS2015534012,2015,DHS,874,1219,,
AFG,Badakhshan,887316,Place of delivery: Health facility,24.3,1,AF,Afghanistan,2015,AF2015DHS,RH_DELP_C_DHF,83566070,I,534017,1534017,Region,Badakhshan,14000,Three years preceding the survey,0,0,RHDELPCDHF,AFDHS2015534017,2015,DHS,605,512,,
AFG,Badakhshan,1192007,Place of delivery: Health facility,22.4,1,AF,Afghanistan,2015,AF2015DHS,RH_DELP_C_DHF,83566070,I,534017,1534017,Region,Badakhshan,14001,Five years preceding the survey,0,1,RHDELPCDHF,AFDHS2015534017,2015,DHS,939,801,,
AFG,Daykundi,810092,Place of delivery: Health facility,24.1,1,AF,Afghanistan,2015,AF2015DHS,RH_DELP_C_DHF,83566070,I,534024,1534024,Region,Daykundi,14000,Three years preceding the survey,0,0,RHDELPCDHF,AFDHS2015534024,2015,DHS,197,394,,
AFG,Daykundi,2871326,Place of delivery: Health facility,22.7,1,AF,Afghanistan,2015,AF2015DHS,RH_DELP_C_DHF,83566070,I,534024,1534024,Region,Daykundi,14001,Five years preceding the survey,0,1,RHDELPCDHF,AFDHS2015534024,2015,DHS,315,642,,
AFG,Zabul,3115932,Place of delivery: Health facility,30.7,1,AF,Afghanistan,2015,AF2015DHS,RH_DELP_C_DHF,83566070,I,534026,1534026,Region,Zabul,14000,Three years preceding the survey,0,0,RHDELPCDHF,AFDHS2015534026,2015,DHS,14,118,,
AFG,Zabul,1194217,Place of delivery: Health facility,26,1,AF,Afghanistan,2015,AF2015DHS,RH_DELP_C_DHF,83566070,I,534026,1534026,Region,Zabul,14001,Five years preceding the survey,0,1,RHDELPCDHF,AFDHS2015534026,2015,DHS,25,215,,
AFG,Kabul,1403202,Received all 8 basic vaccinations,55.6,1,AF,Afghanistan,2015,AF2015DHS,CH_VACC_C_BAS,93906230,I,534001,1534001,Region,Kabul,0,,0,1,CHVACCCBAS,AFDHS2015534001,2015,DHS,718,147,,
AFG,Paktika,2871535,Received all 8 basic vaccinations,74.5,1,AF,Afghanistan,2015,AF2015DHS,CH_VACC_C_BAS,93906230,I,534012,1534012,Region,..Paktika,0,,0,1,CHVACCCBAS,AFDHS2015534012,2015,DHS,181,237,,
AFG,Badakhshan,1403243,Received all 8 basic vaccinations,71.7,1,AF,Afghanistan,2015,AF2015DHS,CH_VACC_C_BAS,93906230,I,534017,1534017,Region,Badakhshan,0,,0,1,CHVACCCBAS,AFDHS2015534017,2015,DHS,156,144,,
AFG,Daykundi,1404551,Received all 8 basic vaccinations,33.7,1,AF,Afghanistan,2015,AF2015DHS,CH_VACC_C_BAS,93906230,I,534024,1534024,Region,Daykundi,0,,0,1,CHVACCCBAS,AFDHS2015534024,2015,DHS,63,124,,
AFG,Zabul,2731542,Received all 8 basic vaccinations,19.7,1,AF,Afghanistan,2015,AF2015DHS,CH_VACC_C_BAS,93906230,I,534026,1534026,Region,Zabul,0,,0,1,CHVACCCBAS,AFDHS2015534026,2015,DHS,3,25,,
AFG,Kabul,298235,Treatment of diarrhea: Either ORS or RHF,47.7,1,AF,Afghanistan,2015,AF2015DHS,CH_DIAT_C_ORT,94106040,I,534001,1534001,Region,Kabul,14000,Three years preceding the survey,0,0,CHDIATCORT,AFDHS2015534001,2015,DHS,893,165,,
AFG,Kabul,1407131,Treatment of diarrhea: Either ORS or RHF,50.2,1,AF,Afghanistan,2015,AF2015DHS,CH_DIAT_C_ORT,94106040,I,534001,1534001,Region,Kabul,14001,Five years preceding the survey,0,1,CHDIATCORT,AFDHS2015534001,2015,DHS,1133,229,,
AFG,Paktika,1407116,Treatment of diarrhea: Either ORS or RHF,98.1,1,AF,Afghanistan,2015,AF2015DHS,CH_DIAT_C_ORT,94106040,I,534012,1534012,Region,..Paktika,14000,Three years preceding the survey,0,0,CHDIATCORT,AFDHS2015534012,2015,DHS,75,104,,
AFG,Paktika,3645924,Treatment of diarrhea: Either ORS or RHF,98.7,1,AF,Afghanistan,2015,AF2015DHS,CH_DIAT_C_ORT,94106040,I,534012,1534012,Region,..Paktika,14001,Five years preceding the survey,0,1,CHDIATCORT,AFDHS2015534012,2015,DHS,137,196,,
AFG,Badakhshan,1403562,Treatment of diarrhea: Either ORS or RHF,80,1,AF,Afghanistan,2015,AF2015DHS,CH_DIAT_C_ORT,94106040,I,534017,1534017,Region,Badakhshan,14000,Three years preceding the survey,0,0,CHDIATCORT,AFDHS2015534017,2015,DHS,152,143,,
AFG,Badakhshan,180864,Treatment of diarrhea: Either ORS or RHF,83.7,1,AF,Afghanistan,2015,AF2015DHS,CH_DIAT_C_ORT,94106040,I,534017,1534017,Region,Badakhshan,14001,Five years preceding the survey,0,1,CHDIATCORT,AFDHS2015534017,2015,DHS,208,196,,
AFG,Daykundi,3016386,Treatment of diarrhea: Either ORS or RHF,35.3,1,AF,Afghanistan,2015,AF2015DHS,CH_DIAT_C_ORT,94106040,I,534024,1534024,Region,Daykundi,14000,Three years preceding the survey,0,0,CHDIATCORT,AFDHS2015534024,2015,DHS,36,69,,
AFG,Daykundi,3880927,Treatment of diarrhea: Either ORS or RHF,38.9,1,AF,Afghanistan,2015,AF2015DHS,CH_DIAT_C_ORT,94106040,I,534024,1534024,Region,Daykundi,14001,Five years preceding the survey,0,1,CHDIATCORT,AFDHS2015534024,2015,DHS,46,87,,
AFG,Kabul,2053932,Median duration of exclusive breastfeeding,1.8,1,AF,Afghanistan,2015,AF2015DHS,CN_BFDR_C_MDE,104336020,I,534001,1534001,Region,Kabul,0,,0,1,CNBFDRCMDE,AFDHS2015534001,2015,DHS,,,,
AFG,Paktika,2050101,Median duration of exclusive breastfeeding,6,1,AF,Afghanistan,2015,AF2015DHS,CN_BFDR_C_MDE,104336020,I,534012,1534012,Region,..Paktika,0,,0,1,CNBFDRCMDE,AFDHS2015534012,2015,DHS,,,,
AFG,Badakhshan,2053977,Median duration of exclusive breastfeeding,4.1,1,AF,Afghanistan,2015,AF2015DHS,CN_BFDR_C_MDE,104336020,I,534017,1534017,Region,Badakhshan,0,,0,1,CNBFDRCMDE,AFDHS2015534017,2015,DHS,,,,
AFG,Daykundi,2056458,Median duration of exclusive breastfeeding,6,1,AF,Afghanistan,2015,AF2015DHS,CN_BFDR_C_MDE,104336020,I,534024,1534024,Region,Daykundi,0,,0,1,CNBFDRCMDE,AFDHS2015534024,2015,DHS,,,,
AFG,Zabul,2051950,Median duration of exclusive breastfeeding,2.8,1,AF,Afghanistan,2015,AF2015DHS,CN_BFDR_C_MDE,104336020,I,534026,1534026,Region,Zabul,0,,0,1,CNBFDRCMDE,AFDHS2015534026,2015,DHS,,,,
AFG,Kabul,3687207,Children under 5 who slept under an insecticide-treated net (ITN),2.3,1,AF,Afghanistan,2015,AF2015DHS,ML_NETC_C_ITN,124836020,I,534001,1534001,Region,Kabul,0,,0,1,MLNETCCITN,AFDHS2015534001,2015,DHS,3797,864,,
AFG,Paktika,2947662,Children under 5 who slept under an insecticide-treated net (ITN),2.3,1,AF,Afghanistan,2015,AF2015DHS,ML_NETC_C_ITN,124836020,I,534012,1534012,Region,..Paktika,0,,0,1,MLNETCCITN,AFDHS2015534012,2015,DHS,860,1253,,
AFG,Badakhshan,244668,Children under 5 who slept under an insecticide-treated net (ITN),4.2,1,AF,Afghanistan,2015,AF2015DHS,ML_NETC_C_ITN,124836020,I,534017,1534017,Region,Badakhshan,0,,0,1,MLNETCCITN,AFDHS2015534017,2015,DHS,888,767,,
AFG,Daykundi,3255700,Children under 5 who slept under an insecticide-treated net (ITN),1.3,1,AF,Afghanistan,2015,AF2015DHS,ML_NETC_C_ITN,124836020,I,534024,1534024,Region,Daykundi,0,,0,1,MLNETCCITN,AFDHS2015534024,2015,DHS,333,686,,
AFG,Zabul,2042188,Children under 5 who slept under an insecticide-treated net (ITN),39.4,1,AF,Afghanistan,2015,AF2015DHS,ML_NETC_C_ITN,124836020,I,534026,1534026,Region,Zabul,0,,0,1,MLNETCCITN,AFDHS2015534026,2015,DHS,27,239,,
AFG,Kabul,3848172,Women receiving an HIV test and receiving test results in the last 12 months,1.6,1,AF,Afghanistan,2015,AF2015DHS,HA_CPHT_W_T1R,135563070,I,534001,1534001,Region,Kabul,0,,0,1,HACPHTWT1R,AFDHS2015534001,2015,DHS,3658,755,,
AFG,Paktika,381504,Women receiving an HIV test and receiving test results in the last 12 months,0,1,AF,Afghanistan,2015,AF2015DHS,HA_CPHT_W_T1R,135563070,I,534012,1534012,Region,..Paktika,0,,0,1,HACPHTWT1R,AFDHS2015534012,2015,DHS,792,1110,,
AFG,Badakhshan,712473,Women receiving an HIV test and receiving test results in the last 12 months,0,1,AF,Afghanistan,2015,AF2015DHS,HA_CPHT_W_T1R,135563070,I,534017,1534017,Region,Badakhshan,0,,0,1,HACPHTWT1R,AFDHS2015534017,2015,DHS,1004,835,,
AFG,Daykundi,57570,Women receiving an HIV test and receiving test results in the last 12 months,0,1,AF,Afghanistan,2015,AF2015DHS,HA_CPHT_W_T1R,135563070,I,534024,1534024,Region,Daykundi,0,,0,1,HACPHTWT1R,AFDHS2015534024,2015,DHS,329,669,,
AFG,Zabul,1175135,Women receiving an HIV test and receiving test results in the last 12 months,0,1,AF,Afghanistan,2015,AF2015DHS,HA_CPHT_W_T1R,135563070,I,534026,1534026,Region,Zabul,0,,0,1,HACPHTWT1R,AFDHS2015534026,2015,DHS,20,172,,
AFG,Kabul,2976633,Men receiving an HIV test and receiving test results in the last 12 months,5.1,1,AF,Afghanistan,2015,AF2015DHS,HA_CPHT_M_T1R,135564160,I,534001,1534001,Region,Kabul,0,,0,1,HACPHTMT1R,AFDHS2015534001,2015,DHS,1350,207,,
AFG,Paktika,3811232,Men receiving an HIV test and receiving test results in the last 12 months,0.2,1,AF,Afghanistan,2015,AF2015DHS,HA_CPHT_M_T1R,135564160,I,534012,1534012,Region,..Paktika,0,,0,1,HACPHTMT1R,AFDHS2015534012,2015,DHS,322,451,,
AFG,Badakhshan,998530,Men receiving an HIV test and receiving test results in the last 12 months,0,1,AF,Afghanistan,2015,AF2015DHS,HA_CPHT_M_T1R,135564160,I,534017,1534017,Region,Badakhshan,0,,0,1,HACPHTMT1R,AFDHS2015534017,2015,DHS,316,246,,
AFG,Daykundi,3807298,Men receiving an HIV test and receiving test results in the last 12 months,0.2,1,AF,Afghanistan,2015,AF2015DHS,HA_CPHT_M_T1R,135564160,I,534024,1534024,Region,Daykundi,0,,0,1,HACPHTMT1R,AFDHS2015534024,2015,DHS,77,150,,
AFG,Zabul,806069,Men receiving an HIV test and receiving test results in the last 12 months,0,1,AF,Afghanistan,2015,AF2015DHS,HA_CPHT_M_T1R,135564160,I,534026,1534026,Region,Zabul,0,,0,1,HACPHTMT1R,AFDHS2015534026,2015,DHS,8,69,,
AFG,Kabul,3430150,Physical or sexual violence committed by husband/partner,39.2,1,AF,Afghanistan,2015,AF2015DHS,DV_SPVL_W_POS,197433060,I,534001,1534001,Region,Kabul,0,,0,1,DVSPVLWPOS,AFDHS2015534001,2015,DHS,2410,573,,
AFG,Paktika,909042,Physical or sexual violence committed by husband/partner,42.1,1,AF,Afghanistan,2015,AF2015DHS,DV_SPVL_W_POS,197433060,I,534012,1534012,Region,..Paktika,0,,0,1,DVSPVLWPOS,AFDHS2015534012,2015,DHS,564,649,,
AFG,Badakhshan,3850058,Physical or sexual violence committed by husband/partner,5.7,1,AF,Afghanistan,2015,AF2015DHS,DV_SPVL_W_POS,197433060,I,534017,1534017,Region,Badakhshan,0,,0,1,DVSPVLWPOS,AFDHS2015534017,2015,DHS,748,643,,
AFG,Daykundi,3310990,Physical or sexual violence committed by husband/partner,13.4,1,AF,Afghanistan,2015,AF2015DHS,DV_SPVL_W_POS,197433060,I,534024,1534024,Region,Daykundi,0,,0,1,DVSPVLWPOS,AFDHS2015534024,2015,DHS,240,585,,
AFG,Zabul,3751185,Physical or sexual violence committed by husband/partner,18.4,1,AF,Afghanistan,2015,AF2015DHS,DV_SPVL_W_POS,197433060,I,534026,1534026,Region,Zabul,0,,0,1,DVSPVLWPOS,AFDHS2015534026,2015,DHS,14,135,,
AFG,Kabul,1643633,Women with secondary or higher education,20.1,1,AF,Afghanistan,2015,AF2015DHS,ED_EDUC_W_SEH,211203100,I,534001,1534001,Region,Kabul,0,,0,1,EDEDUCWSEH,AFDHS2015534001,2015,DHS,3658,755,,
AFG,Paktika,758020,Women with secondary or higher education,0.8,1,AF,Afghanistan,2015,AF2015DHS,ED_EDUC_W_SEH,211203100,I,534012,1534012,Region,..Paktika,0,,0,1,EDEDUCWSEH,AFDHS2015534012,2015,DHS,792,1110,,
AFG,Badakhshan,577771,Women with secondary or higher education,13,1,AF,Afghanistan,2015,AF2015DHS,ED_EDUC_W_SEH,211203100,I,534017,1534017,Region,Badakhshan,0,,0,1,EDEDUCWSEH,AFDHS2015534017,2015,DHS,1004,835,,
AFG,Daykundi,755254,Women with secondary or higher education,13,1,AF,Afghanistan,2015,AF2015DHS,ED_EDUC_W_SEH,211203100,I,534024,1534024,Region,Daykundi,0,,0,1,EDEDUCWSEH,AFDHS2015534024,2015,DHS,329,669,,
AFG,Zabul,3321495,Women with secondary or higher education,8.2,1,AF,Afghanistan,2015,AF2015DHS,ED_EDUC_W_SEH,211203100,I,534026,1534026,Region,Zabul,0,,0,1,EDEDUCWSEH,AFDHS2015534026,2015,DHS,20,172,,
AFG,Kabul,455706,Women who are literate,33.2,1,AF,Afghanistan,2015,AF2015DHS,ED_LITR_W_LIT,211233090,I,534001,1534001,Region,Kabul,0,,0,1,EDLITRWLIT,AFDHS2015534001,2015,DHS,3658,755,,
AFG,Paktika,1642414,Women who are literate,2.3,1,AF,Afghanistan,2015,AF2015DHS,ED_LITR_W_LIT,211233090,I,534012,1534012,Region,..Paktika,0,,0,1,EDLITRWLIT,AFDHS2015534012,2015,DHS,792,1110,,
AFG,Badakhshan,1643951,Women who are literate,19.4,1,AF,Afghanistan,2015,AF2015DHS,ED_LITR_W_LIT,211233090,I,534017,1534017,Region,Badakhshan,0,,0,1,EDLITRWLIT,AFDHS2015534017,2015,DHS,1004,835,,
AFG,Daykundi,1645491,Women who are literate,18.1,1,AF,Afghanistan,2015,AF2015DHS,ED_LITR_W_LIT,211233090,I,534024,1534024,Region,Daykundi,0,,0,1,EDLITRWLIT,AFDHS2015534024,2015,DHS,329,669,,
AFG,Zabul,1646583,Women who are literate,13.4,1,AF,Afghanistan,2015,AF2015DHS,ED_LITR_W_LIT,211233090,I,534026,1534026,Region,Zabul,0,,0,1,EDLITRWLIT,AFDHS2015534026,2015,DHS,20,172,,
AFG,Kabul,2053149,Households with electricity,88.3,1,AF,Afghanistan,2015,AF2015DHS,HC_ELEC_H_ELC,240301010,I,534001,1534001,Region,Kabul,0,,0,1,HCELECHELC,AFDHS2015534001,2015,DHS,3369,756,,
AFG,Paktika,3780681,Households with electricity,97.5,1,AF,Afghanistan,2015,AF2015DHS,HC_ELEC_H_ELC,240301010,I,534012,1534012,Region,..Paktika,0,,0,1,HCELECHELC,AFDHS2015534012,2015,DHS,514,751,,
AFG,Badakhshan,3974539,Households with electricity,51.8,1,AF,Afghanistan,2015,AF2015DHS,HC_ELEC_H_ELC,240301010,I,534017,1534017,Region,Badakhshan,0,,0,1,HCELECHELC,AFDHS2015534017,2015,DHS,849,704,,
AFG,Daykundi,871990,Households with electricity,96,1,AF,Afghanistan,2015,AF2015DHS,HC_ELEC_H_ELC,240301010,I,534024,1534024,Region,Daykundi,0,,0,1,HCELECHELC,AFDHS2015534024,2015,DHS,346,719,,
AFG,Zabul,711449,Households with electricity,68.3,1,AF,Afghanistan,2015,AF2015DHS,HC_ELEC_H_ELC,240301010,I,534026,1534026,Region,Zabul,0,,0,1,HCELECHELC,AFDHS2015534026,2015,DHS,19,169,,


Citance Number,Citation Marker,Citation Marker Offset,Citation Offset,Citation Text,Citation Text Clean,Citing Article,Discourse Facet,Reference Article,Reference Offset,Reference Text
2.0,"Bod, 2003",0,0,"Data-Oriented Parsing (DOP)? s methodology is to calculate weighted derivations, but as noted in (Bod, 2003), it is the highest ranking parse, not derivation, that is desired","Data-Oriented Parsing (DOP)'s methodology is to calculate weighted derivations, but as noted in (Bod, 2003), it is the highest ranking parse, not derivation, that is desired",N06-1045,"Method_Citation,Hypothesis_Citation,Implication_Citation",E03-1005,"'105','143','104'","<S sid=""105"" ssid=""8"">The derivation with the smallest sum, or highest rank, is taken as the final best derivation producing the best parse tree in Simplicity-DOP.3 Although Bod (2000b) reports that Simplicity DOP is outperformed by Likelihood-DOP, its results are still rather impressive for such a simple model.</S><S sid=""143"" ssid=""8"">While SL-DOP and LS-DOP have been compared before in Bod (2002), especially in the context of musical parsing, this paper presents the The DOP approach is based on two distinctive features: (1) the use of corpus fragments rather than grammar rules, and (2) the use of arbitrarily large fragments rather than restricted ones.</S><S sid=""104"" ssid=""7"">Next, the rank of each (shortest) derivation is computed as the sum of the ranks of the subtrees involved.</S>"
3.0,2003,0,0,"Goodman? s transform, in com bi nation with a range of heuristics, allowed Bod (2003) to run the DOP model on the Penn Treebank WSJ benchmark and obtain some of the best results obtained with a generative model","Goodman's transform, in combination with a range of heuristics, allowed Bod (2003) to run the DOP model on the Penn Treebank WSJ benchmark and obtain some of the best results obtained with a generative model",D07-1058,"Method_Citation,Hypothesis_Citation,Implication_Citation",E03-1005,"'0','135','94'","<S sid=""0"" ssid=""0"">An Efficient Implementation of a New DOP Model</S><S sid=""135"" ssid=""16"">In the following section first results of SL-DOP and LS-DOP with a compact PCFG-reduction. we will see that our new definition of best parse tree also outperforms the best results obtained in Bod (2001).</S><S sid=""94"" ssid=""46"">This paper presents the first published results with this estimator on the WSJ.</S>"
4.0,"Bod, 2003",0,0,"Zuidema (2006a) shows that also the estimator (Bod, 2003) uses is biased and inconsistent, and will, even in the limit of infinite data, not correctly identify many possible distributions over trees","Zuidema (2006a) shows that also the estimator (Bod, 2003) uses is biased and inconsistent, and will, even in the limit of infinite data, not correctly identify many possible distributions over trees",D07-1058,"Method_Citation,Hypothesis_Citation,Results_Citation,Implication_Citation",E03-1005,"'29','94','43'","<S sid=""29"" ssid=""26"">Johnson (1998b, 2002) showed that DOP1's subtree estimation method is statistically biased and inconsistent.</S><S sid=""94"" ssid=""46"">This paper presents the first published results with this estimator on the WSJ.</S><S sid=""43"" ssid=""40"">Bod (2001, 2003).</S>"
5.0,"Bod, 2003",0,0,"Second, we compare against a composed-rule system, which is analogous to the Data Oriented Parsing (DOP) approach in parsing (Bod, 2003)","Second, we compare against a composed-rule system, which is analogous to the Data Oriented Parsing (DOP) approach in parsing (Bod, 2003)",P11-1086,"Method_Citation,Hypothesis_Citation,Results_Citation,Implication_Citation",E03-1005,"'3','143','113'","<S sid=""3"" ssid=""3"">Together with a PCFGreduction of DOP we obtain improved accuracy and efficiency on the Wall Street Journal treebank Our results show an 11% relative reduction in error rate over previous models, and an average processing time of 3.6 seconds per WSJ sentence.</S><S sid=""143"" ssid=""8"">While SL-DOP and LS-DOP have been compared before in Bod (2002), especially in the context of musical parsing, this paper presents the The DOP approach is based on two distinctive features: (1) the use of corpus fragments rather than grammar rules, and (2) the use of arbitrarily large fragments rather than restricted ones.</S><S sid=""113"" ssid=""16"">By varying the parameter n, we will be able to compare Likelihood-DOP, Simplicity-DOP and several instantiations of SL-DOP and LS-DOP.</S>"
6.0,"Bod, 2003",0,0,"Our best performing model is more accurate than all these previous models except (Bod, 2003)","Our best performing model is more accurate than all these previous models except (Bod, 2003)",P04-1013,"Method_Citation,Hypothesis_Citation,Results_Citation,Implication_Citation",E03-1005,"'48','135','2'","<S sid=""48"" ssid=""45"">Compared to Bod (2001), our results show an 11% improvement in terms of relative error reduction and a speedup which reduces the processing time from 220 to 3.6 seconds per WSJ sentence.</S><S sid=""135"" ssid=""16"">In the following section first results of SL-DOP and LS-DOP with a compact PCFG-reduction. we will see that our new definition of best parse tree also outperforms the best results obtained in Bod (2001).</S><S sid=""2"" ssid=""2"">This paper proposes an integration of the two models which outperforms each of them separately.</S>"
7.0,"Bod, 2003",0,0,"We find that the discriminative probability model is much worse than the generative one, but that training to optimize the discriminative criteria results in improved performance. Performance of the latter model on the standard test set achieves 90.1% F-measure on constituents, which is the second best current ac curacy level, and only 0.6% below the current best (Bod, 2003) .This paper has also proposed a neural network training method which optimizes a discriminative criteria even when the parameters being estimated are those of a generative probability model","Performance of the latter model on the standard test set achieves 90.1% F-measure on constituents, which is the second best current accuracy level, and only 0.6% below the current best (Bod, 2003)",P04-1013,"Results_Citation,Hypothesis_Citation,Implication_Citation,Method_Citation,Aim_Citation",E03-1005,"'2','3','145'","<S sid=""2"" ssid=""2"">This paper proposes an integration of the two models which outperforms each of them separately.</S><S sid=""3"" ssid=""3"">Together with a PCFGreduction of DOP we obtain improved accuracy and efficiency on the Wall Street Journal treebank Our results show an 11% relative reduction in error rate over previous models, and an average processing time of 3.6 seconds per WSJ sentence.</S><S sid=""145"" ssid=""10"">This paper showed that a PCFG-reduction of DOP in combination with a new notion of the best parse tree results in fast processing times and very competitive accuracy on the Wall Street Journal treebank.</S>"
10.0,"Bod, 2003",0,0,"Similarly, (Bod, 2003) changes the way frequenciesfi are counted, with a similar effect","Similarly, (Bod, 2003) changes the way frequencies fi are counted, with a similar effect",E06-2025,"Method_Citation,Aim_Citation,Results_Citation,Implication_Citation",E03-1005,"'143','48','43'","<S sid=""143"" ssid=""8"">While SL-DOP and LS-DOP have been compared before in Bod (2002), especially in the context of musical parsing, this paper presents the The DOP approach is based on two distinctive features: (1) the use of corpus fragments rather than grammar rules, and (2) the use of arbitrarily large fragments rather than restricted ones.</S><S sid=""48"" ssid=""45"">Compared to Bod (2001), our results show an 11% improvement in terms of relative error reduction and a speedup which reduces the processing time from 220 to 3.6 seconds per WSJ sentence.</S><S sid=""43"" ssid=""40"">Bod (2001, 2003).</S>"
12.0,"Bod, 2003",0,0,"(henceforth, STSGs), which can represent single words, contiguous and noncontiguous MWEs, context-free rules or complete parse trees in a unified representation. My approach is closely related to work in statistical parsing known as Data-Oriented Parsing (DOP), an empirically highly successful approach with labeled recall and precision scores on the Penn Tree Bank that are among the best currently obtained (Bod, 2003)","My approach is closely related to work in statistical parsing known as Data-Oriented Parsing (DOP), an empirically highly successful approach with labeled recall and precision scores on the Penn Tree Bank that are among the best currently obtained (Bod, 2003)",W06-2905,"Method_Citation,Hypothesis_Citation,Results_Citation,Implication_Citation",E03-1005,"'3','143','21'","<S sid=""3"" ssid=""3"">Together with a PCFGreduction of DOP we obtain improved accuracy and efficiency on the Wall Street Journal treebank Our results show an 11% relative reduction in error rate over previous models, and an average processing time of 3.6 seconds per WSJ sentence.</S><S sid=""143"" ssid=""8"">While SL-DOP and LS-DOP have been compared before in Bod (2002), especially in the context of musical parsing, this paper presents the The DOP approach is based on two distinctive features: (1) the use of corpus fragments rather than grammar rules, and (2) the use of arbitrarily large fragments rather than restricted ones.</S><S sid=""21"" ssid=""18"">One instantiation of DOP which has received considerable interest is the model known as DOP12 (Bod 1992).</S>"
13.0,"Bod, 2003",0,0,"Shown are results were only elementary trees with scores higher than 0.3 and 0.1 respectively are used. However, more interesting is a qualitative analysis of the STSG induced, which shows that ,un like DOP1, push-n-pull arrives at a grammar that gives high weights (and scores) to those elementary3We approximated the most probable parse as follows (fol lowing (Bod, 2003))","We approximated the most probable parse as follows (following (Bod, 2003))",W06-2905,"Method_Citation,Hypothesis_Citation,Results_Citation,Implication_Citation",E03-1005,"'26','97','25'","<S sid=""26"" ssid=""23"">Sima'an (1995) gave an efficient algorithm for computing the parse tree generated by the most probable derivation, which in some cases is a reasonable approximation of the most probable parse.</S><S sid=""97"" ssid=""49"">In this paper, we will estimate the most probable parse by computing the 10,000 most probable derivations by means of Viterbi n-best, from which the most likely parse is estimated by summing up the probabilities of the derivations that generate the same parse.</S><S sid=""25"" ssid=""22"">Many implementations of DOP1 therefore estimate the most probable parse by Monte Carlo techniques (Bod 1998; Chappelier & Rajman 2000), or by Viterbi n-best search (Bod 2001), or by restricting the set of subtrees (Sima'an 1999; Chappelier et al. 2002).</S>"
14.0,"Bod, 2003",0,0,"This result is only slightly higher than the highest reported result for this test-set, Bod? s (.907) (Bod,2003)","This result is only slightly higher than the highest reported result for this test-set, Bod's (.907) (Bod,2003)",P05-1022,"Method_Citation,Hypothesis_Citation,Results_Citation,Implication_Citation",E03-1005,"'134','3','38'","<S sid=""134"" ssid=""15"">This may be explained by the fact our best results in Bod (2001) were obtained by testing various subtree restrictions until the highest accuracy was obtained, while in the current experiment we used all subtrees as given by the PCFG-reduction.</S><S sid=""3"" ssid=""3"">Together with a PCFGreduction of DOP we obtain improved accuracy and efficiency on the Wall Street Journal treebank Our results show an 11% relative reduction in error rate over previous models, and an average processing time of 3.6 seconds per WSJ sentence.</S><S sid=""38"" ssid=""35"">Although Bod's method obtains very competitive results on the Wall Street Journal (WSJ) task, the parsing time was reported to be over 200 seconds per sentence (Bod 2003).</S>"
16.0,2003,0,0,"This assumption is in consonance with the principle of simplicity, but there are also empirical reasons for the shortest derivation assumption: in Bod (2003) and Hearne and Way (2006), it is shown that DOP models that select the preferred parse of a test sentence using the shortest derivation criterion perform very well","This assumption is in consonance with the principle of simplicity, but there are also empirical reasons for the shortest derivation assumption: in Bod (2003) and Hearne and Way (2006), it is shown that DOP models that select the preferred parse of a test sentence using the shortest derivation criterion perform very well",P07-1051,"Results_Citation,Hypothesis_Citation,Implication_Citation,Method_Citation,Aim_Citation",E03-1005,"'45','98','108'","<S sid=""45"" ssid=""42"">In the second part of this paper, we extend our experiments with a new notion of the best parse tree.</S><S sid=""98"" ssid=""1"">Most DOP models, such as in Bod (1993), Goodman (1996), Bonnema et al. (1997), Sima'an (2000) and Collins & Duffy (2002), use a likelihood criterion in defining the best parse tree: they take (some notion of) the most likely (i.e. most probable) tree as a candidate for the best tree of a sentence.</S><S sid=""108"" ssid=""11"">The underlying idea of combining LikelihoodDOP and Simplicity-DOP is that the parser selects the simplest tree from among the n most probable trees, where n is a free parameter.</S>"
17.0,"Bod, 2003",0,0,"But equally important is the fact that this new DOP* model does not suffer from a decrease in parse accuracy if larger subtrees are included, whereas the original DOP model needs to be redressed by a correction factor to maintain this property (Bod 2003)","But equally important is the fact that this new DOP* model does not suffer from a decrease in parse accuracy if larger subtrees are included, whereas the original DOP model needs to be redressed by a correction factor to maintain this property (Bod 2003)",P07-1051,"Method_Citation,Hypothesis_Citation,Implication_Citation",E03-1005,"'0','143','105'","<S sid=""0"" ssid=""0"">An Efficient Implementation of a New DOP Model</S><S sid=""143"" ssid=""8"">While SL-DOP and LS-DOP have been compared before in Bod (2002), especially in the context of musical parsing, this paper presents the The DOP approach is based on two distinctive features: (1) the use of corpus fragments rather than grammar rules, and (2) the use of arbitrarily large fragments rather than restricted ones.</S><S sid=""105"" ssid=""8"">The derivation with the smallest sum, or highest rank, is taken as the final best derivation producing the best parse tree in Simplicity-DOP.3 Although Bod (2000b) reports that Simplicity DOP is outperformed by Likelihood-DOP, its results are still rather impressive for such a simple model.</S>"
18.0,2003,0,0,"Of course, it is well-known that a supervised parser? s f-score decreases if it is transferred to another domain: for example, the (non-binarized) WSJ-trained DOP model in Bod (2003) decreases from around 91% to 85.5% f score if tested on the Brown corpus","Of course, it is well-known that a supervised parser's f-score decreases if it is transferred to another domain: for example, the (non-binarized) WSJ-trained DOP model in Bod (2003) decreases from around 91% to 85.5% f score if tested on the Brown corpus",P07-1051,"Method_Citation,Implication_Citation",E03-1005,"'88','3','94'","<S sid=""88"" ssid=""40"">In this paper, we will test a simple extension of Goodman's compact PCFG-reduction of DOP which has the same property as the normalization proposed in Bod (2001) in that it assigns roughly equal weight to each node in the training data.</S><S sid=""3"" ssid=""3"">Together with a PCFGreduction of DOP we obtain improved accuracy and efficiency on the Wall Street Journal treebank Our results show an 11% relative reduction in error rate over previous models, and an average processing time of 3.6 seconds per WSJ sentence.</S><S sid=""94"" ssid=""46"">This paper presents the first published results with this estimator on the WSJ.</S>"
19.0,"Bod, 2003",0,0,"A moderately larger vocabulary version (4215 tag-word pairs) of this parser achieves 89.8% F-measure on section 0, where the best current result on the testing set is 90.7% (Bod, 2003)","A moderately larger vocabulary version (4215 tag-word pairs) of this parser achieves 89.8% F-measure on section 0, where the best current result on the testing set is 90.7% (Bod, 2003)",W04-0305,"Method_Citation,Hypothesis_Citation,Results_Citation,Implication_Citation",E03-1005,"'140','142','143'","<S sid=""140"" ssid=""5"">The highest accuracy is obtained by SL-DOP at 12 n 14: an LP of 90.8% and an LR of 90.7%.</S><S sid=""142"" ssid=""7"">Compared to the reranking technique in Collins (2000), who obtained an LP of 89.9% and an LR of 89.6%, our results show a 9% relative error rate reduction.</S><S sid=""143"" ssid=""8"">While SL-DOP and LS-DOP have been compared before in Bod (2002), especially in the context of musical parsing, this paper presents the The DOP approach is based on two distinctive features: (1) the use of corpus fragments rather than grammar rules, and (2) the use of arbitrarily large fragments rather than restricted ones.</S>"
20.0,2003,0,0,The probability of a parse tree T is the sum of the 1 This subtree probability is redressed by a simple correction factor discussed in Goodman (2003: 136) and Bod (2003),This subtree probability is redressed by a simple correction factor discussed in Goodman (2003: 136) and Bod (2003),P06-1109,"Method_Citation,Hypothesis_Citation,Implication_Citation",E03-1005,"'85','98','22'","<S sid=""85"" ssid=""37"">For example, Bod (2001) samples a fixed number of subtrees of each depth, which has the effect of assigning roughly equal weight to each node in the training data, and roughly exponentially less probability for larger trees (see Goodman 2002: 12).</S><S sid=""98"" ssid=""1"">Most DOP models, such as in Bod (1993), Goodman (1996), Bonnema et al. (1997), Sima'an (2000) and Collins & Duffy (2002), use a likelihood criterion in defining the best parse tree: they take (some notion of) the most likely (i.e. most probable) tree as a candidate for the best tree of a sentence.</S><S sid=""22"" ssid=""19"">DOP1 combines subtrees from a treebank by means of node-substitution and computes the probability of a tree from the normalized frequencies of the subtrees (see Section 2 for a full definition).</S>"


Model Name,Class,Control,Total,Selected,True Positive,True Negative,False Positive,False Negative,False Positive Rate,False Negative Rate,Accuracy,Precision,Recall,Favorable,Percent Selected,Percent Favorable,Control Total,Control False Positive Rate,Control False Negative Rate,Control Selected,Control Percent Favorable,Marginal Effects,Adverse Impact Ratio,Relative False Positive Rate,Relative False Negative Rate,Fishers Exact,Fishers Exact P-Value,Standardized Mean Difference,T-Statistic,T-Statistic P-Value
Monotonic GBM - Simulated Data,Prot-Class1,Ctrl-Class1,3057.0,899.0,588.0,1765.0,311.0,393.0,0.1498073217726397,0.40061162079510704,0.7697088649002289,0.6540600667408232,0.599388379204893,899.0,0.29407916257769057,0.29407916257769057,16943.0,0.1290160010079375,0.37763713080168776,6629.0,0.3912530248480198,0.09717386227032926,0.751634221082186,1.1611530399506262,1.0608374762954231,1.3304343681428217,9.432173571973037e-13,-0.20599405542340987,-10.511320380435931,8.943963880382719e-26
Monotonic GBM - Simulated Data,Ctrl-Class1,,16943.0,6629.0,5605.0,6913.0,1024.0,3401.0,0.1290160010079375,0.37763713080168776,0.738830195360916,0.8455272288429627,0.6223628691983122,6629.0,0.3912530248480198,0.3912530248480198,,,,,,,,,,,,,,
Monotonic GBM - Simulated Data,Prot-Class2,Ctrl-Class2,9916.0,3914.0,2994.0,4523.0,920.0,1479.0,0.16902443505419806,0.3306505700871898,0.7580677692617991,0.7649463464486459,0.6693494299128102,3914.0,0.3947156111335216,0.3947156111335216,10084.0,0.09080962800875274,0.4198404062386652,3614.0,0.3583895279650932,-0.03632608316842839,1.1013592204400753,1.8613052245727353,0.7875625241731165,0.9079689727393624,0.0003758135564239806,0.10574005426405628,7.486783566720664,7.350595597416447e-14
Monotonic GBM - Simulated Data,Ctrl-Class2,,10084.0,3614.0,3199.0,4155.0,415.0,2315.0,0.09080962800875274,0.4198404062386652,0.7292740975803252,0.8851687880464859,0.5801595937613347,3614.0,0.3583895279650932,0.3583895279650932,,,,,,,,,,,,,,
XNN - Simulated Data,Prot-Class1,Ctrl-Class1,3057.0,980.0,631.0,1727.0,349.0,350.0,0.16811175337186898,0.3567787971457696,0.7713444553483808,0.6438775510204081,0.6432212028542303,980.0,0.3205757278377494,0.3205757278377494,16943.0,0.1631598840871866,0.3143459915611814,7470.0,0.44089004308564006,0.12031431524789066,0.7271103824303867,1.0303497965347677,1.134987582866408,1.3753070017477569,1.3982897119086332e-16,-0.27424021350490857,-14.023690950731439,1.8138837740843919e-44
XNN - Simulated Data,Ctrl-Class1,,16943.0,7470.0,6175.0,6642.0,1295.0,2831.0,0.1631598840871866,0.3143459915611814,0.7564776013692971,0.8266398929049531,0.6856540084388185,7470.0,0.44089004308564006,0.44089004308564006,,,,,,,,,,,,,,
XNN - Simulated Data,Prot-Class2,Ctrl-Class2,9916.0,4139.0,3124.0,4428.0,1015.0,1349.0,0.18647804519566416,0.30158730158730157,0.7615974183138362,0.7547716839816381,0.6984126984126984,4139.0,0.4174062121823316,0.4174062121823316,10084.0,0.137636761487965,0.33224519405150527,4311.0,0.4275089250297501,0.010102712847418482,0.9763684165267066,1.3548563856028382,0.9077250987731337,1.0242035517262629,0.3569491062819051,-0.0008178772577339166,-0.05782772837201058,0.9538864288482456
XNN - Simulated Data,Ctrl-Class2,,10084.0,4311.0,3682.0,3941.0,629.0,1832.0,0.137636761487965,0.33224519405150527,0.7559500198333995,0.8540941776849919,0.6677548059484948,4311.0,0.4275089250297501,0.4275089250297501,,,,,,,,,,,,,,
Monotonic GBM - HMDA Data,Black,White,2608.0,951.0,310.0,1396.0,641.0,261.0,0.31467844869906725,0.45709281961471104,0.6541411042944786,0.32597266035751843,0.542907180385289,1657.0,0.36464723926380366,0.6353527607361963,28361.0,0.14972223301348045,0.5080152671755725,5143.0,0.8186594266774796,0.1833066659412833,0.7760892259126223,2.101748299938425,0.8997619739974027,0.49730411695597593,2.576706701834715e-60,0.6284716145680413,30.870208237981537,4.017855954403598e-206
Monotonic GBM - HMDA Data,White,,28361.0,5143.0,1289.0,21887.0,3854.0,1331.0,0.14972223301348045,0.5080152671755725,0.8171785197983146,0.2506319268909197,0.4919847328244275,23218.0,0.18134057332252035,0.8186594266774796,,,,,,,,,,,,,,
Monotonic GBM - HMDA Data,Female,Male,8301.0,2126.0,608.0,5767.0,1518.0,408.0,0.20837336993822925,0.4015748031496063,0.7679797614745212,0.28598306679209784,0.5984251968503937,6175.0,0.25611372123840503,0.743886278761595,13166.0,0.18178732071628617,0.4967462039045553,2838.0,0.7844447820142793,0.040558503252684286,0.9482965478480982,1.1462480942960576,0.8084104115806485,0.8416386944964573,7.333301735171886e-08,0.0840154956898157,5.643171131608238,1.6905154216502833e-08
Monotonic GBM - HMDA Data,Male,,13166.0,2838.0,696.0,9641.0,2142.0,687.0,0.18178732071628617,0.4967462039045553,0.7851283609296673,0.2452431289640592,0.5032537960954447,10328.0,0.2155552179857208,0.7844447820142793,,,,,,,,,,,,,,
XNN - HMDA Data,Black,White,2608.0,996.0,395.0,1436.0,601.0,176.0,0.29504172803141876,0.30823117338003503,0.7020705521472392,0.3965863453815261,0.691768826619965,1612.0,0.38190184049079756,0.6180981595092024,28361.0,0.12035274464861505,0.3603053435114504,4774.0,0.8316702514015726,0.21357209189237014,0.7432009963895574,2.4514748616064397,0.8554721125589955,0.4407670525549184,4.065097546474582e-83,0.6205210273958582,30.1463611966826,8.409288626328312e-197
XNN - HMDA Data,White,,28361.0,4774.0,1676.0,22643.0,3098.0,944.0,0.12035274464861505,0.3603053435114504,0.8574803427241635,0.3510682865521575,0.6396946564885496,23587.0,0.16832974859842742,0.8316702514015726,,,,,,,,,,,,,,
XNN - HMDA Data,Female,Male,8301.0,1843.0,689.0,6131.0,1154.0,327.0,0.15840768702814,0.3218503937007874,0.8215877605107819,0.37384698860553445,0.6781496062992126,6458.0,0.2220214431996145,0.7779785568003855,13166.0,0.13069676652804887,0.3470715835140998,2443.0,0.8144463010785357,0.03646774427815014,0.9552238812677306,1.2120245300341388,0.9273314468503937,0.8357467470141485,1.3293158541875736e-07,0.1053170970663988,7.119925738719642,1.1139106268383423e-12
XNN - HMDA Data,Male,,13166.0,2443.0,903.0,10243.0,1540.0,480.0,0.13069676652804887,0.3470715835140998,0.8465745101017773,0.36962750716332377,0.6529284164859002,10723.0,0.18555369892146437,0.8144463010785357,,,,,,,,,,,,,,


Model / framework;Version;Modeling language;last updated;Date;local (NUTS3)/pos;local (NUTS3)/used;regional (NUTS1-2)/pos;regional (NUTS1-2)/used;national/pos;national/used;international/pos;international/used;other spatial scope;very short/pos;very short/used;short/pos;short/used;intermediate/pos;intermediate/used;long/pos;long/used;other temporal scope;<hourly/pos;<hourly/used;hourly/pos;hourly/used;intermediate/pos.1;intermediate/used.1;annual/pos;annual/used;other temporal resolution;perfect foresight;rolling horizon / myopic foresight;decision-/agentbased;other decision making;no decision making;heat sector excluded;exo aggregated heat dem;end disaggregated heat dem;end disaggregated heat tech;other heat representation;transport sector excluded;exo aggregated transport dem;end disaggregated transport dem;end disaggregated transport tech;other transport representation;prob yes;prob no;explanation;social yes;social no;explanation.1;spinning reserve;balancing energy;sheddable loads;Feed-in management;redispatch;power factor correction;curtailment;black start;explanation.2;new features yes;new features no;If yes, which ones;user implementation yes;user implementation no;explanation.3;efficiency fixed value;efficiency function;efficiency other;explanation.4;ramping yes;ramping no;explanation.5;response time yes;response time no;explanation.6;recovery time yes;recovery time no;explanation.7;Year;no grid;transfer capacity;AC PF;DC PF;interconnectors;explanation.8;simplified;flow based;no import;other import;explanation.9;minimum load yes;minimum load no;explanation.10;discrete expansion yes;discrete expansion no;explanation.11;max def load fixed value;Time-dependent;Type-dependent;time- and type-dependent;no max def load;other max def load;shifting time yes;shifting time no;explanation.12;price elasticity yes;price elasticity no;explanation.13;fixed/static;dynamic;no storage;explanation.14;cycle aging;calendrical aging;no aging;explanation.15;self discharge yes;self discharge no;explanation.16;curtailed operation yes;curtailed operation no;explanation.17;hard coal/pos;hard coal/def;lignite/pos;lignite/def;oil/pos;oil/def;natural gas/pos;natural gas/def;CCGT/pos;CCGT/def;OCGT/pos;OCGT/def;CHP/pos;CHP/def;other conv;Bioenergy/pos;Bioenergy/def;geothermal/pos;geothermal/def;hydropower reservoir/pos;hydropower reservoir/def;concentrated solar power/pos;concentrated solar power/def;other dRES;photovoltaic/pos;photovoltaic/def;wind onshore/pos;wind onshore/def;Wind-offshore/pos;Wind-offshore/def;Run-of-river hydro/pos;Run-of-river hydro/def;wave power/pos;wave power/def;tidal power/pos;tidal power/def;other vRES;PEM-FC/pos;PEM-FC/def;SOFC/pos;SOFC/def;Nuclear/pos;Nuclear/def;other supply;Comments;households/pos;households/def;industrial load/pos;industrial load/def;service sector/pos;service sector/def;other load;P2Gas/pos;P2Gas/def;P2H2/pos;P2H2/def;HP/pos;HP/def;EV/pos;EV/def;other SC load;comments;PHS/pos;PHS/def;Batteries/pos;Batteries/def;CAES/pos;CAES/def;Caps/pos;Caps/def;Flywheels/pos;Flywheels/def;other storage;Fuels (H2)/pos;Fuels (H2)/def;Heat storage/pos;Heat storage/def;V2Grid/pos;V2Grid/def;other SC storage;comments.1;Distribution Grid/pos;Distribution Grid/def;Transmission Grid/pos;Transmission Grid/def;Smart Grid/pos;Smart Grid/def;Microgrid/pos;Microgrid/def;other grid operation;interconnectors/pos;interconnectors/def;network extension/pos;network extension/def;switches/pos;switches/def;other grid topology;comments.2;Additional comments;model;framework;comment
eGo;0.0.11 dev;Python 3.0;;01.04.2020;1.0;1.0;1.0;1.0;1.0;1.0;;;Mittelspannungsgebiete;1.0;;1.0;;1.0;1.0;1;1.0;;1.0;1.0;1.0;1.0;1.0;;1.0;;;1.0;;;AC-OPF, Heuristic as perfect foresight;;1.0;;;;;1.0;;;;;;1.0;;;1.0;;;1.0;;1.0;;;;;balancing energy: PRL Speicher werden untersucht aber zeitreihen exogen vorgegeben (da Frequenz exogen vorgegeben wird und nicht berechnet);1.0;Integration E-Fahrzeuge (gesteuertes Laden, V2G), Waermepumpen, Blindleistungsregelung;Integration EV(gesteuertes Laden, V2G) [Q2 2020], HP[Ende2020Anfang2021],Blindleistungsregelung[Ende2020];1.0;;;1.0;;;fixer speicherwirkungsgrad;;1.0;;;1.0;;;1.0;;;;;1.0;1.0;1.0;;1.0;1.0;;;;;1.0;;;1.0;;;;;;1.0;;;1.0;;;1.0;;1.0;;;;;;1.0;;;1.0;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;;1;;1.0;;1;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;;"variable regenerative Anlagen koennen abgeregelt werden und es moessen wetter-abhaengige Erzeugungszeitreihen vorgegeben werden; alle anderen Anlagen koennen bis zu ihrer Nennleistung einspeisen, es werden aber keine Wirkungsgrade oder Anfahrtszeiten, etc. beruecksichtigt";1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;1.0;1.0;;Bedarf von Elektrofahrzeugen und Ladesaeulenstandorte werden durch anderes Tool ermittelt und dienen als Input in edisgo;1.0;;1.0;1.0;1.0;1.0;;;;;;1.0;;1.0;;1.0;1.0;;;1.0;1.0;1.0;1.0;1.0;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;;;;1.0;;
backbone;1.3 (beta);GAMS;02.04.2020;09.04.2020;1.0;;1.0;1.0;1.0;1.0;1.0;1.0;The geographical resolution is data driven;;;;;1.0;;1;1.0;The temporal scope is data driven;1.0;1.0;1.0;1.0;1.0;;1.0;;The temporal resolution is data driven;1.0;1.0;;stochastic (short-term forecasts and/or long-term prices, etc);;1.0;1.0;;1.0;Energy sectors are data driven - Backbone just gives different methods to present the physics and economics;1.0;1.0;;1.0;Energy sectors are data driven - Backbone just gives different methods to present the physics and economics;1.0;;Short-term forecasts with a stochastic tree and/or longer-term uncertainty related to prices, investment costs, taxation, demand are possible to model;;1.0;User can add new constraints and/or costs to the objective function, but there are no implemented methods.;1.0;1.0;1.0;1.0;1.0;;;;User can add new constraints and/or costs to the objective function, but there are no implemented methods.;1.0;;Currently testing a more flexible way to define inputs and outputs from a unit as well their relations (feasible operating area). Post-processing MIP marginal values (market prices). Decomposition. Improving computation time.;1.0;;User can add extra constraints as well as terms to the objective function (or replace the objective function). Users can also participate in the open source development (https://gitlab.vtt.fi/backbone/backbone).;1.0;1.0;;There are multiple methods the user can choose from for a particular unit (that can be generation, consumption, conversion, storage).;1.0;;The model has ramp constraints that also apply to reserves.;1.0;;Different reserve categories can have different response requirements.;1.0;;This can typically be done by presenting the physics of the system that should include some form of storage that can be depleted but needs to be replenished.;2016 (or 2015, but version control is from 2016 onward);;1.0;;1.0;;;1.0;1.0;;;;1.0;;;1.0;;;1.0;1.0;1.0;1.0;;Not fully sure what is meant by this, but in Backbone you can present energy consuming units just as freely as generating units (they can have connected storages that can create time-dependent constraints).;1.0;;Again, it is possible to use storages and unit specific time series to model this. There is no explicit time shifting unit type with its own set of constraints.;;1.0;Could be added by the user.;;1.0;;;;;1.0;;1.0;;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;multiple fuels and/or multiple outputs are possible;1;;1.0;;1;;1.0;;multiple fuels and/or multiple outputs are possible;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;There are no technology specific limits;1.0;;1.0;;1.0;;;Representation of different technologies is up to the user, nothing is predefined (of course one can copy unittypes from existing model instances).;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;1.0;;;Representation of different technologies is up to the user, nothing is predefined (of course one can copy unittypes from existing model instances).;1.0;;1.0;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;;Representation of different technologies is up to the user, nothing is predefined (of course one can copy unittypes from existing model instances).;1.0;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;heat transfer physics;Switches can be implemented by using integer based units as connectors.;;;1.0;
Calliope;0.6.5;Python 3.0;;16.04.2020;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;arbitrary scales possible;1.0;;1.0;;1.0;1.0;1;1.0;;1.0;;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;1.0;;;;1.0;1.0;1.0;1.0;;1.0;1.0;1.0;1.0;;;1.0;Probabilistic analysis using Calliope has been undertaken, but it is not yet implemented in the core code, see this branch: https://github.com/calliope-project/calliope/tree/stochastic_optimisation;;1.0;;;;;;;;;;;1.0;;https://github.com/calliope-project/calliope/issues and https://github.com/calliope-project/calliope/projects/2;1.0;;https://github.com/calliope-project/calliope/blob/master/CONTRIBUTING.md;1.0;1.0;;;1.0;;;;1.0;;;1.0;;2013;;1.0;;;1.0;;;1.0;;;;1.0;;;1.0;;;;;;;;Fixed demand can be set, as well as total demand over the temporal scope (per type), the difference being the deferrable load.;;1.0;;;1.0;;1.0;;;;;;1.0;;1.0;;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1;1.0;1.0;;1;1.0;1.0;1.0;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;;solar thermal;1.0;;1.0;;1.0;1.0;We provide a model gallery (on our website) describing previous studies, and two small example models (in the package). They all define a selection of technologies that can be used in other studies (hence selected above as predefined);;1.0;1.0;1.0;1.0;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;See previous comment;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;;;1.0;1.0;1.0;1.0;1.0;;;See previous comment;1.0;1.0;1.0;1.0;;;1.0;;;1.0;;1.0;;;;;#NAME?;;;1.0;
DIETER;01.04.2000;GAMS;10.04.2020;07.04.2020;;;;;1.0;1.0;1.0;;Germany and electric neighbors;;;;;1.0;;1;1.0;;;;1.0;1.0;;;;;;1.0;;;;;;;;1.0;disaggregated technologies, but exogenous demand per technology;;;1.0;;1;;1.0;;;1.0;;1.0;1.0;1.0;;;;1.0;;We do not have a grid, but a representation of reserves, load shedding, and RES curtailment;1.0;;Bottom-up weather data, Python interface;1.0;;Everyone can continue coding;1.0;;;;1.0;;Yes, stylized using load change costs;1.0;;Yes, stylized in case of thermal plants providing reserves;1.0;;Yes, for demand-side management load shifting and load shedding;2015;;1.0;;;;;;;;1;NTC-based international transport model;1.0;;Only applied to provision of negative reserves;;1.0;;;;;1.0;;;;;;;1.0;;1.0;;;;;;1.0;;1.0;;;1.0;;RES may reduce output to provide reserves;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;;;1;1.0;;;1;1.0;;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;;;;;1.0;1.0;;;1.0;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1;;;1.0;1.0;1.0;1.0;1.0;1.0;Demand response: 8 aggregated technologies, based on hh, industry, and service sector data;;1.0;1.0;1.0;1.0;1.0;1.0;;;;;;1.0;1.0;1.0;1.0;1.0;1.0;;4 types of batteries;;;;;;;;;;1.0;1.0;1.0;1.0;;;;NTC-based international transport model;;1.0;;
Dispa-SET;02. Apr;GAMS, Python;March 2020;16.04.2020;1.0;;1.0;;1.0;1.0;1.0;1.0;;;;;;1.0;;1;1.0;;1.0;;1.0;1.0;1.0;1.0;;;;1.0;;;;;;1.0;;1.0;Heat demand curves are exogenous but heat dispatch/storage is optimized in the model.;;1.0;;1.0;Same remarque: demand and driving profiles are exogenous, but charging patterns are optimized.;;1.0;;;1.0;;1.0;1.0;1.0;;;;;;;1.0;;"Automated coupling with other models + feedback loops; Improved reserve sizing methodology; grid stability constraints; piecewise linear representation of heating appliances; ...";1.0;;Requires some knowledge of the model structure;1.0;1.0;;;1.0;;;1.0;;very basic implementation: flexible units wish short start-up times can participate to secondary reserve markets;1.0;;typical min up/down time constraints;2015;;1.0;;;;;;1.0;;;;1.0;;;;1.0;;;1.0;;;;;1.0;;constant value;;1.0;;1.0;;;;;;1.0;;1.0;;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1;1.0;1.0;1.0;1;1.0;1.0;1.0;;1.0;1.0;1.0;1.0;1.0;1.0;;;;;;;;;;;;1.0;1.0;;;1.0;;;;;;;;;1.0;1.0;1.0;1.0;1.0;1.0;;power-to-gas is implemented but will be part of the next release (2.5). Coupling with a household model has been done in a branch but is not integrated into the master.;1.0;1.0;1.0;1.0;1.0;1.0;;;;;;1.0;1.0;1.0;1.0;1.0;1.0;;;;;1.0;1.0;;;;;;;;;;;;;;;1.0;;
EMMA;2020;GAMS;2020;07.04.2020;;;;;1.0;1.0;;;;;;;;;;1;1.0;;;;1.0;1.0;;;;;;1.0;;;;;;1.0;;;;1.0;;;;;;1.0;;;1.0;;1.0;;1.0;;;;;;;;1;;1.0;;;1.0;;;;;1.0;under development;;1.0;;;1.0;;;;;;;1.0;;1.0;;;;;;1.0;;;1.0;;;;;1.0;;;;1.0;only implicit by the limitation on how much energy can be shifted;1.0;;load shedding, i.e. perfect elasticity at the value of lost load;1.0;;;;;;1.0;;1.0;;;;1.0;But renewables are curtailed based on wholesale market prices;1.0;1.0;1.0;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;coal CCS;1;1.0;;;1;1.0;;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;;;;;;;;;1.0;1.0;;;;;;;;;;;;;;1.0;;;;;power-to-hydrogen is under development;1.0;1.0;1.0;1.0;;;;;;;;;;1.0;1.0;;;;Hydrogen storage is under development;;;;;;;;;;1.0;1.0;1.0;;;;;;;1.0;;
EnergyPLAN;15;Delphi, Pascal;2019;;1.0;;1.0;;1.0;1.0;1.0;1.0;European/continental;;;;;;;1;1.0;The model simulates specifically a year;;;1.0;1.0;;;;;;1.0;;1.0;The model in some cases have perfect foresight of demand and VRES supply. In other cases the choices are made on an hourly basis based on analytical programming.;;;;1.0;1.0;;;;1.0;;;;1.0;;;1.0;We can however implement taxes, which can influence the behavior in the market operation;;1.0;;;;;1.0;;;1.0;;More detailed transmission modelling. Else we keep adding and updating technologies;;1.0;While it is not possible to add new features to the program, it is possible to develop extensions and add ons to EnergyPLAN using command line features. We also assist in developing new command line functions if they are needed.;1.0;;;;;1.0;;;1.0;;;1.0;;;;;;;1.0;Three simplified grids are included: electricity, thermal and gas;;1.0;;;;1.0;;;;1.0;;1.0;;;;;Not sure what is meant -> changed after contact in mail (no option was selected before) The amount of demand that is flexible and the peak load of that flexiblility. Furthermore, the user can choose between different time spans of the flexibility. One is flexible within 1 Day, one is flexible within 1 Week and the final option is flexible within 4 Weeks.;1.0;;If it is meant that we can model demands that shift in time then yes. We have the option of modelling flexible electricity demands.;1.0;;;1.0;;;;;;1.0;;;1.0;;;1.0;;1.0;;1.0;;1.0;1.0;1.0;1.0;1.0;;1.0;;1.0;1.0;;1;1.0;1.0;1.0;1;1.0;1.0;1.0;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;;1.0;;1.0;1.0;;;1.0;;1.0;;;;1;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;We can do demand respsone of electricity demands. This can include households, services and industry.;1.0;1.0;1.0;;1.0;1.0;1.0;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;;;;;;;;;;;;1.0;1.0;;;;;;EnergyPLAN assumes the system as a single node, with one interconnector to the surroundings.;;1.0;;
EnergyScope;v2;GLPK, GLPSOL;Mrz 20;08.04.2020;1.0;;1.0;;1.0;1.0;1.0;1.0;;;;;;;;1;1.0;decades (long term planning);;;;;1.0;1.0;1.0;1.0;we use a hourly time slice with typical days;1.0;;;;;;;;1.0;;;;;1.0;;;1.0;;;1.0;;;;;;;;1.0;;The power demand and supply must be balanced every hour. It is more an energy perspective: can we supply this amount of energy during this hour.;1.0;;pathway modelisation. Today, the V2 optimises a snapshot future energy system. In the next version (pathway) we aim at optimising the system design between existing energy system (2020) until long term target (2050).;1.0;;The code is open source and documented. It is used for teaching activities where students implement new features, such as technologies.;1.0;;;;;1.0;;;1.0;;;1.0;;;1.0;;;;;;1.0;;;;through a net transfer capacity and import/export prices.;;1.0;;;1.0;;;1.0;;;;;;1.0;;;1.0;;1.0;;;;;;1.0;;1.0;;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;1.0;1;1;1.0;1.0;1.0;1;1.0;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;;;1.0;;1.0;;1.0;1.0;;;1.0;;1.0;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;Industrial process electrical heating;;1.0;1.0;1.0;1.0;1.0;;1.0;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;;;;;;;;;;;;;;;;;;;;multi-sectoral energy system model for long-term planning;1.0;;
oemof;v0.3.2;Python 3.0;29.11.2019;03.04.2020;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;;1.0;;1.0;;1;1.0;;1.0;;1.0;1.0;1.0;;1.0;;;1.0;;;;;;1.0;1.0;1.0;;;1.0;1.0;1.0;;;1.0;;;1.0;;;1.0;1.0;;;;;;;1.0;;To name only two examples: district heating optimisation and simulation, absorption heat pumps;1.0;;;1.0;;Fixed value or pre-defined time series;;1.0;;;;1.0;;1.0;;Minimum up and down times can be set.;2015;;1.0;;1.0;1.0;;1.0;1.0;;;;1.0;;;;1.0;;1.0;1.0;1.0;1.0;;SinkDSM can be parametrized by standard load plus flexibilization areas;1.0;;Choice by user;;1.0;;;1.0;;It is possible to pass an exogenously defined time series of efficiencies. Endogenous changes of efficiencies lead to nonlinear relations and cannot be represented.;;1.0;;Exegenously defined aging is possible.;1.0;;;;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;1.0;;1;;1.0;;1;;1.0;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;1.0;1.0;;;;1.0;;1.0;;1.0;1.0;1.0;;1.0;;;1.0;;1.0;1.0;1.0;;;;;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;;;;;1.0;
OMEGAlpes;v0.3.1;Python 3.0;13.03.2020;22.04.2020;1.0;1.0;1.0;;;;;;scale of the energy project ;;;;;1.0;;1;1.0;depending on the used/available data;1.0;;1.0;1.0;1.0;;;;depending on the used/available data;1.0;;;;;;;;;user defined;1.0;;;;;;1.0;thermal comfort in considered in the thermal package of OMEGAlpes;1.0;;Objectives and constraints of stakeholders are pre-modelled and can be modelled separately from the technical ones.;;1.0;;;;;;;No ancillary services actually represented. Energy balance is ensured through energy nodes, and constraints such as shiftable loads, or energy units with availability hours, min time on or min time off.;1.0;;Economy and exergy package in the coming weeks, improved graphical interface next year;1.0;;Project available on Gitlab, License Apache 2.0., generic energy units (consumption, production, conversion and storage) enable the user to easily develop its own instances of energy units, or scenarios.;;;Not implemented yet, efficiency is constant at the moment.;;1.0;;user can define max ramp up or max ramp down for energy units.;;1.0;;;1.0;;2019;1.0;;;;;;1.0;;;;Simplified exports and imports can be set between energy nodes that ensure the power balance.;1.0;;a minimal power or energy value can be given for energy units.;;1.0;;;;;;;user defined with Shiftable Energy Unit, or with maximal energy (e_max) consumed by a variable energy unit;;1.0;;;1.0;;1.0;;;Storage Units with bounded state of charge (SoC), charging and discharging efficiency with fixed value;;;1.0;;1.0;;self discharging is either fixed or is SoC dependent;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;;1;;1.0;;1;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;;Production units are considered as a general Energy Units in OMEGAlpes and various kind of production can be implemented. However, the model should remain basic and if possible linear;1.0;;1.0;;;;;1.0;;1.0;;1.0;1.0;1.0;;Consumption Unit are considered as a general EnergyUnit in OMEGAlpes and various kind of consumption can be implemented. However, the model should remain basic and if possible linear;;1.0;;1.0;;1.0;;1.0;;1.0;;;;;1.0;1.0;;;;Storage is considered as a general EnergyUnit in OMEGAlpes and various kind of storage can be implemented. A specific thermal storage have been developed. However, the model should remain basic and if possible linear;1.0;;1.0;;1.0;;1.0;;;;;;;;;;Grids can be represented with conversion or reversible energy unit depending on the use case. Once again, the model should remain basic and if possible linear;Generally speaking, OMEGAlpes is suited and used for local multi-energy projects. Very few functions were developed for regional and national power grids, which explains the generic answers to some questions, such as the ones from part 4.;1.0;;
PyPSA;0.17.0 / 0.1.0 / master;Python 3.0;01. Apr 20;07.04.2020;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;;;;;1.0;;1;1.0;;1.0;;1.0;1.0;1.0;1.0;1.0;;;1.0;1.0;;;;;1.0;1.0;1.0;;;1.0;;1.0;;;1.0;;;1.0;;;;;1.0;1.0;;;;"These constraints can be added as ""extra functionality""";1.0;;https://github.com/PyPSA/pypsa-eur/issues, https://github.com/PyPSA/pypsa/issues, https://github.com/PyPSA/pypsa-eur-sec/issues;1.0;;The code can be easily reprogrammed in its entirety.;1.0;1.0;;;1.0;;Generator ramping constraints are possible, but we usually do not enforce these.;;1.0;;1.0;;Minimum up time and down time possible, but usually not used.;2017;;1.0;1.0;1.0;1.0;DC and NTC in optimisation, AC for simulation only;;1.0;;;No import from outside Europe, e.g. MENA.;1.0;;Can be enforced with PyPSA, but we usually don't do it in the models.;;1.0;Most renewable generators are small. Discrete expansion planning would be more important for large power plants. Can be implemented with extra functionality.;;1.0;;;;We can implement this using a storage unit with predefined p/e_max/min_pu time series.;;1.0;See above.;1.0;;The storage representing DSM can bid at certain prices.;1.0;1.0;;;;;1.0;;1.0;;;1.0;;Generators can be curtailed to avoid grid overloading, but not for grid ancillary service specifically.;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1;1.0;1.0;;1;1.0;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;;;1.0;1.0;1.0;;1.0;1.0;;The PyPSA components are held very general.;1.0;;1.0;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;;1.0;1.0;1.0;1.0;1.0;;1.0;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;;;1.0;;1.0;1.0;1.0;;1.0;;;1.0;1.0;1.0;1.0;;;;;;1.0;;
region4FLEX;under development;Python 3.0;under development;13.04.2020;1.0;1.0;;;1.0;1.0;;;;;;;;;;1;1.0;;1.0;1.0;;;;;;;;1.0;1.0;;;;;1.0;1.0;;endogenous disaggregated choices regarding demand (for temporal load shifting);;1.0;1.0;;endogenous disaggregated choices regarding demand (for temporal load shifting);;1.0;;1.0;;In parts, e.g. via load shifting times depending on user preferences or realization factors for calculating socio-technic load shifting potential ;;1.0;1.0;1.0;1.0;;1.0;;;1.0;;model is under development, will be published in 2020;1.0;;model is open source;1.0;;;;;1.0;;1.0;;time frame of management for load shifting;1.0;;time frame of management for load shifting;2020;;1.0;;1.0;1.0;based on the open_eGo model;1.0;;;;;1.0;;;1.0;;;;;;1.0;;;1.0;;;;1.0;;;1.0;;;;;1.0;;1.0;;;;1.0;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1;1.0;;;1;1.0;;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;;;;;;;;;1.0;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;;1.0;1.0;1.0;1.0;;;;;;;;1.0;1.0;1.0;1.0;1.0;1.0;;;;;1.0;1.0;;;;;;1.0;1.0;1.0;1.0;;;;;;1.0;;
RTestPSM;1;Python 3.0;Apr 20;15.04.2020;1.0;;1.0;;1.0;1.0;1.0;;;;;;;;;1;1.0;;;;1.0;1.0;;;;;;1.0;;;;;1.0;;;;;1.0;;;;;1.0;;The model runs on data that is viewed deterministically, but is designed to be easy to use in probabilistic analysis. This applies particularly to the time series the model is run on.;;1.0;;;;;;;;;;;;1;;1.0;;The model is well documented and easily customisable. It is built in the Calliope framework (https://www.callio.pe/), so can be changed there.;1.0;;;;1.0;;This can be turned on and off.;;1.0;;;1.0;;2019;;1.0;;1.0;;;;;1.0;;;;1.0;;1.0;;This can be turned on and off.;1.0;;;;;;;1.0;;;1.0;;;;1.0;;;;1.0;;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;;1;;1.0;;1;;1.0;;1;;;1.0;;1.0;;;;;;;;;;;;;1.0;;;"This model used generic technology classes (baseload, peaking, and wind). These can be taken and modified to represent ""real"" technologies.";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1.0;1.0;;;;;;;;;;;;;;"The model described here isn't a ""real"" power system model in terms of describing a realistic system. It is designed to be a simple ""toy"" model that is, above all, easy to use. The idea is that it can serve as a simple ""benchmark"" model to test timeseries and optimisation methodologies on. In many fields, standard benchmarks exist; notable examples are MNIST or CIFAR in Computer Vision and the Lorenz 63 system in Dynamical Systems. In contrast, test models used in power system research tend to differ per investigation, with each paper using a different (often not open-source) model. The closest thing in power system applications are the various IEEE n-bus test systems, but the code, technology characteristics and time series data are usually not standardised or provided open-source.";1.0;;
TIMES;;GAMS;;15.04.2020;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;;;;;1.0;;1;1.0;;;;1.0;;1.0;1.0;1.0;1.0;Flexible temporal hierarchy ;1.0;1.0;;yearly;;1.0;1.0;1.0;1.0;;1.0;1.0;1.0;1.0;;1.0;;;1.0;;e.g. budget restriction;;1.0;1.0;1.0;;1.0;1.0;;;1.0;;in coordination with the ETSAP group;1.0;;by so-called user constraints;1.0;;by a step-wise approach;;;1.0;;1.0;;;1.0;;;2014;;1.0;1.0;1.0;1.0;;;1.0;;by a step-wise cost-potential curve;;1.0;;;1.0;;;;;;1.0;;;1.0;;;1.0;;;;1.0;;;1.0;1.0;;;;1.0;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;GT, ;1;;1.0;;1;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;;Very flexible: it is just a process with inputs and outputs as part of a network;1.0;;1.0;;1.0;;Transport;1.0;;1.0;;1.0;;1.0;;"Power-to-Fuels; CHP; Bioenergy; ";;1.0;;1.0;;1.0;;1.0;;1.0;;1;1.0;;1.0;;1.0;;1;Very flexible: it is just a three step approach: in-flow -> storage -> out-flow;1.0;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;;Very flexible: it's just a process with inputs and outputs as part of a network;;;1.0;
TransiEnt;01.02.2000;Modelica;13.05.2019;20.04.2020;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;It is also possible just to model a household or a district since we can build up models by components.;1.0;;1.0;1.0;1.0;1.0;1;1.0;;1.0;1.0;1.0;1.0;1.0;;1.0;;;;;1.0;;;;1.0;;;It is also possible to model the heat demand physically-based.;1.0;;;;;;1.0;;;1.0;;1.0;1.0;1.0;1.0;;1.0;1.0;;;1.0;;In the next release, probably June 2020, new models will be added to enable the investigation of voltage stability. Other further developments will also be added to the library at that point but not in terms of flexibility;1.0;;;1.0;1.0;physical behavior;Depending on the model, different implementations can be chosen.;1.0;;;1.0;;;1.0;;;2014-2019;;;1.0;;;;;;1.0;;;1.0;;;1.0;;This can be done manually.;;;;;1.0;;;1.0;;;1.0;;;1.0;;;;;1.0;;1.0;;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;Garbage;1;1.0;1.0;;1;1.0;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;;;1.0;;1.0;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;1.0;1.0;1.0;1.0;;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;;;;1.0;;
Frigg;;Python 3.0;;24.04.2020;1.0;;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;;1.0;;1.0;1.0;1;;;1.0;1.0;1.0;1.0;1.0;;1.0;;;1.0;1.0;;;;;;1.0;1.0;;;;1.0;;;;1.0;;;1.0;;;;;;;;;;Represented via model coupling (soft linking) with power system models (Neplan);1.0;;during the next 365 days. Implementation of demand response in all the sectors based on model coupling and non-linear and dynamic representation of demand response;;;;1.0;;;;1.0;1.0;Depending whether capacity extension (No) is run or operational optimization – unit commitment (yes);1.0;;Depending whether capacity extension (No) is run or operational optimization – unit commitment (yes);1.0;;yes, primarily on the end user side;Late 2019;;1.0;1.0;;1.0;AC power flow represented in a power system model that is soft-linked with the energy planning model;1.0;;;;;1.0;1.0;Yes when running unit commitment mode, No when running capacity extension problem.;;1.0;only continuous power plant capacity extension;;;;1.0;;;1.0;;I don’t know what is meant by this. -> geklärt in Mail;1.0;;yes but not from a classical economic theory when price elasticity is assumed to be linear. Price responses here are captured in a complex, non-linear way.;1.0;;;;;1.0;;;1.0;;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;;1;;1.0;;1;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;1;;1.0;1.0;1.0;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;;1.0;;1.0;1.0;1.0;;1.0;;;;;1.0;;1.0;1.0;1.0;1.0;;;;;1.0;;;;;;;;;1.0;;;;;;;;;
GridCal;03. Jul;Python 3.0;9 of March of 2020;24 of April 2020;1.0;1.0;1.0;;1.0;;1.0;;Any spatial Scope, RAM and CPU are the limits;;;1.0;;1.0;;1;1.0;;1.0;;1.0;1.0;1.0;;1.0;;Any temporal scale, although the static simulations are meaningful in the minutes to-hours scale. GridCal does not impose any static sampling rate, instead you can specify a non-homogeneous time sampling.;1.0;1.0;;You can decide to have a “time-decoupled” simplex of a time-coupled (perfect foresight) one;;1.0;;;;;1.0;;;;;1.0;;The input time series are considered as a representative sample. Then those re converted to probability distributions and then re-sampled into stochastic procedures, Namely Monte Carlo and Latin-hypercube power flows.;;1.0;;;;1.0;;;;1.0;;;1.0;;"- full blown AC/DC simulation - Implementation of HELM-Padè-Weirstrass power flow - Harmonics calculation - More devices; The branch generic device disappears to implement line, transformer, and any other branch as a separated entity. - Better OPF: Add r";1.0;;Contact me to get hands on explanations, and start programming. Strict efficiency and style rules apply. Several people have contributed already and are contributing at the monet.;;;Not implemented;;;;Not implemented;;;Not implemented;;;Not implemented;Not yet, will be eventually.;;;1.0;1.0;;;;1.0;;Power Injection;You definitely can by placing a generator or load that acts as the injection in the grid.;;1.0;;;1.0;;;;;;1.0;;;1.0;;;1.0;;1.0;;;;;;1.0;;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;;1;;1.0;;1;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;;;1.0;;1.0;;1.0;;;;;;;1.0;;1.0;;;;1.0;;1.0;;1.0;;1.0;;1.0;;;;;;;;;;;1.0;1.0;1.0;1.0;1.0;;;;;;;;;1.0;;;;;1.0;;
xeona;9270 (subversion revision number);UML, C++;circa 2014;28.04.2020;;;;;1.0;;1.0;;the framework was designed to be generic and applicable to small and large systems / moreover most problems have natural boundaries that should be respected;;;;;;;1;;normally a year of operation, either today or some future system, was envisaged;1.0;;1.0;;;;;;the time step was a model parameter but either 5 minutes or 60 minutes was envisaged: the basic assumption to be fulfilled is that the system “relaxes” rapidly after each step (otherwise a continuous model is required, one based on ordinary differential equations);;;1.0;market clearing: US-style nodal pricing (aka locational marginal pricing) is supported;;;;1.0;;contained a square box building thermal performance module and a HVAC (heating, ventilation, and air conditioning) module;1.0;;;;;1.0;;probabalistic in that module designers could add stochastic processes sampling from various distributions / the user could also opt for runtime seeding (for monte-carlo analysis, for example) or select a hardcoded value (to ensure run-to-run consistency);1.0;;the actors are potentially sophisticated and building occupants are supported;;;;1.0;1.0;;;;I ticked redispatch but nodal pricing removes the need for explicit congestion-related redispatch;;1;;1.0;;clear object-oriented design was a criteria from the outset / this allows uses to program new modules by coding only the difference between itself and its parent or parents / in addition, C++ language type safety and template meta-programming meant users could not construct illogical models;1.0;1.0;;both duty and ambient temperature / capacity was also a function of context, most notably ambient environmental conditions / this is highly significant for gas turbines which can potentially drop capacity by 20% in hot conditions;1.0;;minimum duty was also implemented (see later);;1.0;would not be difficult to implement but delayed responses could well lead to infeasible operation as the model heads unwittingly into dead end states;;1.0;same explanation as above;circa 2012 (I guess you mean the year they were supported in the codebase?);;;1.0;1.0;1.0;the AC load flow follows standard nodal pricing methods;1.0;;;;I guess you are referring to trade external to the model? / the system boundary is up to the modeler but import sources and export sinks were supported / these are deemed reservoirs whose intensive state (price, for instance) remains independent of extraction or supply.  Is that what you mean by import and export?;1.0;;together with both no-load and parasitic losses;1.0;;just via scenario definitions, by not via endogenous choice;;;;1.0;;actors could be either hardware (control algorithms) or human (based on some behavioral representation) and both could potentially learn / indeed some bidding behavior was subject to simple non-reinforcing learning;1.0;;see earlier response;1.0;;bilateral contracts, in several forms, are supported, including decreasing price with demand and also take-or-pay (I think this is not common but certainly not unique);;1.0;; most notably, hydro chains (multiple hydroelectricity generators on the same river);;;;both mechanisms would be straightforward to implement;1.0;;primarily hydro reservoir evaporation and seepage;;1.0;in theory, it would be possible to implement the security-constraints normally embedded in nodal pricing, but this might not add much / curtailment due to non-dispatch is implicit in nodal pricing (or have I missed the point of this question?);1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1;;1.0;1.0;1;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;;;;;;;;;;;again deeco had fuel cell modules so not difficult to reimplement in xeona. also important is that xeona implemented supercritical CO2 transport and sequestration and also thermal powerplants with carbon capture;;1.0;1.0;1.0;1.0;;;;;;;;;;;;the power-to-gas modules were never implemented, mainly because those technologies did not get much air play at the time of development / it would be straightforward to implement electrolysis: the principle issue remains of devising and implementing the operational strategies.  (perfect foresight optimization assumes that problem away but it remains in practice nonetheless!).;;1.0;;1.0;1.0;1.0;;1.0;;1.0;;;1.0;1.0;1.0;;;;;deeco contained seasonal heat storage and the design of xeona was formulated explicitly to allow those characterizations to be carried across;1.0;;1.0;1.0;1.0;;1.0;;;1.0;1.0;1.0;1.0;1.0;;transformers were modeled using iron and copper losses / not sure what you mean by switches?  switching out lines to improve load flow? that would require (total or selected) enumeration to explore surely?;;;;;
FlexiGIS;1.0.0;GIS-based;13.12.2019;07.05.2020;1.0;;;;;;;;urban/distribution level;;;;;;;1;1.0;;1.0;;1.0;1.0;;;;;;;;;;1.0;1.0;;;;heat to be included later;1.0;;;;transport to be included later;;1.0;;;1.0;;;;;;;;;;n.a.;1.0;;sector coupling, socio-economic, e-mobility, CHP and urban policy perspectives;1.0;;;1.0;1.0;;;;1.0;;;1.0;;;1.0;;;1.0;;;;;;1.0;;;;;1.0;;;;1.0;;;1.0;;1.0;;;;1.0;could be applied later;1.0;;online electricity prices;1.0;1.0;;;;;1.0;;1.0;;;;1.0;;;;;;;;;;;;;;;;;1;1.0;;;1;;;;;1.0;1.0;1.0;1.0;;;;;;;;;;;;;;;;;;1.0;1.0;1.0;1.0;1.0;1.0;;;;;;;;;;;;;;1.0;1.0;;;;;;;;;;;;;;;;1.0;;;;1.0;;1.0;;;;;;;;;;;;1.0;;
urbs;1.0.1;Python 3.0;04.05.2020;06.05.2020;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;cities, small villages, single buildings;;;1.0;;1.0;;1;1.0;;1.0;;1.0;1.0;1.0;;1.0;;;1.0;;;;;;;1.0;1.0;;;1.0;;;;;1.0;;;1.0;;;;;;;;1.0;;;1.0;;Near-optimal optimization, decomposition modules;1.0;;One can just clone our GitHub repository, and start working.;1.0;;;;1.0;;Different rates for ramping up and down can be defined.;;1.0;;;1.0;;2016;;1.0;;1.0;1.0;;1.0;;;;;1.0;;;1.0;;;1.0;;;;;;1.0;;;;1.0;;1.0;;;;;;1.0;;1.0;;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;any MIMO process;1;;1.0;;1;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;1.0;;urbs is a commodity-neutral framework. Any commodity can be defined.;;1.0;;1.0;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;;;1.0;;1.0;;1.0;;1.0;;;1.0;;;;;;;;;;1.0;
pandapower;2.2.2.;Python 3.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;;;1.0;1.0;1.0;1.0;1;1.0;PF static ;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;A non-homogeneous time sampling possible;;;;;1.0;1.0;;;;;1.0;;;;;;1.0;;;1.0;;;;;;;;;;no ancillary services are predefined, but they can all be comfortably modeled by the user through controllers ;1.0;;unbalanced power flow calculation (Fall 2020);1.0;;flexible controller interface allows to implement individual behavior. Changes on the core codebase are always possible on github as well;;;;;;1.0;;;1.0;;;1.0;;;;;1.0;1.0;;;;1.0;;1;Can be modeled through external grids or ward equivalents;;1.0;;;1.0;;;;;;1.0;;;1.0;;;1.0;;1.0;;;;;;1.0;;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1;1;;1.0;;1;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;;;1.0;;1.0;;1.0;;;;;;;1.0;;1.0;;;;1.0;;1.0;;1.0;;1.0;;1.0;;;;;;;;;;;1.0;1.0;1.0;1.0;1.0;;1.0;;;1.0;;;;1.0;1.0;Transformer, Lines etc.;;;1.0;;
Balmorel;several;GAMS;;;1.0;;1.0;1.0;1.0;1.0;1.0;1.0;;;;1.0;;1.0;1.0;1;1.0;;1.0;;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;1.0;;;;1.0;1.0;1.0;1.0;endogenous expansion of heat consumption;1.0;1.0;;1.0;end disaggregated transport dem marked with ? Please check with hans raven;1.0;;certain probabilistic elements included. Scenarios with probabilistic (monte carlo) input elements supported;1.0;;differences in actors' valuation of future cost/earnings may be in represented;;;;;;;;;frequency containment reserve, manual frequency restoration reserve are implemented in some versions;1.0;;ongoing projects will possibly extend representations in relation to i.a. taxes, hydro modeling, transport, P2X, security of supply;1.0;;Balmorel is open source, publicly available, coded in a modeling language, documented;1.0;1.0;1;by calendar, various possibilities and versions, i.a. timeseries for COP, unit commitment for storage units, bypass of extraction and backpressure CHP;1.0;;;;1.0;;;1.0;;2007 / 2020;;1.0;;1.0;1.0;various versions;1.0;1.0;;;representation of the grid as 2.6 above also covers import and export. Additional representations of import and export exist.;1.0;;depending on version;1.0;;;;1.0;1.0;1.0;;;1.0;;;1.0;;;1.0;1.0;;depending on version and storage type;;1.0;;;1.0;;;;1.0;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;possible;1;1.0;1.0;;1;1.0;1.0;;;;1.0;;1.0;;1.0;;1.0;;1.0;1.0;;what is here marked as possible, have been implemented in specific projects;1.0;;1.0;;1.0;;;;;1.0;;1.0;;1.0;;1.0;;1.0;;;1.0;1.0;;what is here marked as possible, have been implemented in specific projects;;;1.0;;1.0;1.0;;;;;;hydro reservoir;1.0;;;1.0;1.0;;gas;what is here marked as possible, have been implemented in specific projects;;1.0;;1.0;;;;;;;1.0;;1.0;;;;;;1.0;;
IRENA FlexTool;v 2.0;GLPK;06.03.2020;03.08.2020;1.0;;1.0;;1.0;1.0;1.0;;;;;1.0;;1.0;1.0;1;1.0;;;;1.0;1.0;;;;;;1.0;;;;;;1.0;;1.0;;;1.0;;1.0;;;1.0;;;1.0;;1.0;1.0;1.0;1.0;;;1.0;;;;;;;;;1.0;;;;1.0;;;;1.0;;1.0;;;;;1.0;;;;transport problem;1.0;;;;through input data;1.0;;;;1.0;;1.0;;;;;implemented as extra unit with capacity as input;;1.0;;;1.0;;1.0;;;;;;1.0;;;1.0;;;1.0;;1.0;1.0;1.0;;1.0;1.0;1.0;1.0;1.0;;1.0;;1.0;1.0;;1;;1.0;1.0;1;1.0;1.0;1.0;;1.0;1.0;1.0;1.0;1.0;;1.0;1.0;1.0;;1.0;;;1.0;;1.0;;1.0;;;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;1.0;1.0;1.0;;demand as input series;1.0;;1.0;1.0;1.0;;1.0;;1.0;;;1.0;;1.0;1.0;1.0;1.0;;;;;1.0;;1.0;;;;;1.0;;1.0;1.0;;;;;;1.0;;
OSeMOSYS;OSeMOSYS_2017_11_08_short;GLPK, Python;;04.09.2020;1.0;;1.0;1.0;1.0;1.0;1.0;1.0;1;;;;;;;1;1.0;;1.0;;1.0;;1.0;1.0;1.0;1.0;the duration of the timeslices can be freely defined by the user;1.0;;;;;;1.0;1.0;1.0;;;1.0;1.0;1.0;;1.0;;This extension aims to assess the amount of unsupplied energy and its costs, in case disturbances to the energy system occur.;;1.0;;;;1.0;1.0;;;1.0;;sheddable loads: Block of equations allowing the cost-optimal amount of load shedding and its overall cost to be computed, for certain flexible demand types defined by the user.;;;;1.0;;The code is open source and can be extended or altered to implement new features if code complies with the requirements of linear optimisation;1.0;1.0;;Both possible. by a function: Costs related to the flexible operation of power plants, specifically: increased specific fuel consumption at lower load, wear and tear costs associated to the number of ramp-up and ramp-down cycles and costs for refurbishing existing units.;1.0;;Equations that model the ramping constraints of conventional generators. With large penetrations of variable renewables, the ramping demand in the system is significantly increased. The ability to constrain the ramping capabilities of generators in the system allows for a more accurate representation of the system dynamics and associated costs.;;1.0;;;1.0;;2014;;1.0;;;1.0;;1.0;1.0;;;;1.0;;;1.0;;;;1.0;1.0;1.0;;;;1.0;;;1.0;;1.0;1.0;;both possible;;;1.0;Can be implemented by the user if code complies with the requirements of linear optimisation;;1.0;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;possible;1;;1.0;;1;;1.0;;possible;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;possible;1.0;;1.0;;1.0;;possible;;1.0;;1.0;;1.0;;possible;1.0;;1.0;;1.0;;1.0;;possible;;1.0;;1.0;;1.0;;1.0;;1.0;;cascaded water;1.0;;1.0;;1.0;;possible;;1.0;;1.0;;1.0;;1.0;;possible;1.0;;1.0;;1.0;;possible;;;;1.0;


id,name,unit.symbol,unit.desc,unit.factor,dataTypeKey
e15de6e7306b4daea52b62ce24f00000,Mass,kg,SI for mass,1,nr_float
e15de6e7306b4daea52b62ce24f00000,Mass,g,,1000,nr_float
e15de6e7306b4daea52b62ce24f00000,Mass,lbs,,0.45359237,nr_float
e15de6e7306b4daea52b62ce24f00001,Time,s,SI for time,1,nr_float
e15de6e7306b4daea52b62ce24f00001,Time,h,,3600,nr_float
e15de6e7306b4daea52b62ce24f00002,Length,m,SI for length,1,nr_float
e15de6e7306b4daea52b62ce24f00003,Heart Rate,bpm,beats per minute,1,nr_short
e15de6e7306b4daea52b62ce24f00004,Location,lat_lon,geo point by latitude,longitude,val_geopoint


Code,Indicator Name,Long definition,Source
ST.INT.RCPT.CD,"International tourism, receipts (current US$)","International tourism receipts are expenditures by international inbound visitors, including payments to national carriers for international transport. These receipts include any other prepayment made for goods or services received in the destination country. They also may include receipts from same-day visitors, except when these are important enough to justify separate classification. For some countries they do not include receipts for passenger transport items. Data are in current U.S. dollars.","World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files."
SM.POP.NETM,Net migration,"Net migration is the net total of migrants during the period, that is, the total number of immigrants less the annual number of emigrants, including both citizens and noncitizens. Data are five-year estimates.",United Nations Population Division. World Population Prospects: 2017 Revision.
SP.POP.GROW,Population growth (annual %),"Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.","Derived from total population. Population source: (1) United Nations Population Division. World Population Prospects: 2017 Revision, (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme."
EN.POP.DNST,Population density (people per sq. km of land area),"Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.",Food and Agriculture Organization and World Bank population estimates.


"Country Code","Region","IncomeGroup","SpecialNotes","TableName",
"ABW","Latin America & Caribbean","High income","","Aruba",
"AFG","South Asia","Low income","","Afghanistan",
"AGO","Sub-Saharan Africa","Lower middle income","","Angola",
"ALB","Europe & Central Asia","Upper middle income","","Albania",
"AND","Europe & Central Asia","High income","","Andorra",
"ARB","","","Arab World aggregate. Arab World is composed of members of the League of Arab States.","Arab World",
"ARE","Middle East & North Africa","High income","","United Arab Emirates",
"ARG","Latin America & Caribbean","Upper middle income","","Argentina",
"ARM","Europe & Central Asia","Upper middle income","","Armenia",
"ASM","East Asia & Pacific","Upper middle income","","American Samoa",
"ATG","Latin America & Caribbean","High income","","Antigua and Barbuda",
"AUS","East Asia & Pacific","High income","Fiscal year end: June 30; reporting period for national accounts data: FY.","Australia",
"AUT","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 13.7603 Austrian schilling. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries.","Austria",
"AZE","Europe & Central Asia","Upper middle income","","Azerbaijan",
"BDI","Sub-Saharan Africa","Low income","","Burundi",
"BEL","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 40.3399 Belgian franc. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries.","Belgium",
"BEN","Sub-Saharan Africa","Lower middle income","","Benin",
"BFA","Sub-Saharan Africa","Low income","","Burkina Faso",
"BGD","South Asia","Lower middle income","Fiscal year end: June 30; reporting period for national accounts data: FY.","Bangladesh",
"BGR","Europe & Central Asia","Upper middle income","","Bulgaria",
"BHR","Middle East & North Africa","High income","","Bahrain",
"BHS","Latin America & Caribbean","High income","","Bahamas, The",
"BIH","Europe & Central Asia","Upper middle income","","Bosnia and Herzegovina",
"BLR","Europe & Central Asia","Upper middle income","Data before 2015 were adjusted to reflect the new denomination effective from July 1, 2016 (BYN), a decrease of 10,000 times (1 BYN = 10,000 BYR)","Belarus",
"BLZ","Latin America & Caribbean","Upper middle income","","Belize",
"BMU","North America","High income","","Bermuda",
"BOL","Latin America & Caribbean","Lower middle income","","Bolivia",
"BRA","Latin America & Caribbean","Upper middle income","","Brazil",
"BRB","Latin America & Caribbean","High income","","Barbados",
"BRN","East Asia & Pacific","High income","","Brunei Darussalam",
"BTN","South Asia","Lower middle income","","Bhutan",
"BWA","Sub-Saharan Africa","Upper middle income","","Botswana",
"CAF","Sub-Saharan Africa","Low income","","Central African Republic",
"CAN","North America","High income","Fiscal year end: March 31; reporting period for national accounts data: CY.","Canada",
"CEB","","","Central Europe and the Baltics aggregate.","Central Europe and the Baltics",
"CHE","Europe & Central Asia","High income","","Switzerland",
"CHI","Europe & Central Asia","High income","","Channel Islands",
"CHL","Latin America & Caribbean","High income","","Chile",
"CHN","East Asia & Pacific","Upper middle income","On 1 July 1997 China resumed its exercise of sovereignty over Hong Kong; and on 20 December 1999 China resumed its exercise of sovereignty over Macao. Unless otherwise noted, data for China do not include data for Hong Kong SAR, China; Macao SAR, China; or Taiwan, China.","China",
"CIV","Sub-Saharan Africa","Lower middle income","","Côte d'Ivoire",
"CMR","Sub-Saharan Africa","Lower middle income","","Cameroon",
"COD","Sub-Saharan Africa","Low income","","Congo, Dem. Rep.",
"COG","Sub-Saharan Africa","Lower middle income","","Congo, Rep.",
"COL","Latin America & Caribbean","Upper middle income","","Colombia",
"COM","Sub-Saharan Africa","Lower middle income","","Comoros",
"CPV","Sub-Saharan Africa","Lower middle income","","Cabo Verde",
"CRI","Latin America & Caribbean","Upper middle income","","Costa Rica",
"CSS","","","","Caribbean small states",
"CUB","Latin America & Caribbean","Upper middle income","","Cuba",
"CUW","Latin America & Caribbean","High income","","Curaçao",
"CYM","Latin America & Caribbean","High income","","Cayman Islands",
"CYP","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate entered into force on January 1, 2008: 1 euro = 0.585274 Cyprus pounds. Please note that historical data are not actual euros and are not comparable or suitable for aggregation across countries.","Cyprus",
"CZE","Europe & Central Asia","High income","","Czech Republic",
"DEU","Europe & Central Asia","High income","","Germany",
"DJI","Middle East & North Africa","Lower middle income","","Djibouti",
"DMA","Latin America & Caribbean","Upper middle income","","Dominica",
"DNK","Europe & Central Asia","High income","","Denmark",
"DOM","Latin America & Caribbean","Upper middle income","","Dominican Republic",
"DZA","Middle East & North Africa","Lower middle income","","Algeria",
"EAP","","","East Asia and Pacific regional aggregate (does not include high-income economies).","East Asia & Pacific (excluding high income)",
"EAR","","","Early-dividend countries are mostly lower-middle-income countries further along the fertility transition. Fertility rates have fallen below four births per woman and the working-age share of the population is likely rising considerably.","Early-demographic dividend",
"EAS","","","East Asia and Pacific regional aggregate (includes all income levels).","East Asia & Pacific",
"ECA","","","Europe and Central Asia regional aggregate (does not include high-income economies).","Europe & Central Asia (excluding high income)",
"ECS","","","Europe and Central Asia regional aggregate (includes all income levels).","Europe & Central Asia",
"ECU","Latin America & Caribbean","Upper middle income","","Ecuador",
"EGY","Middle East & North Africa","Lower middle income","","Egypt, Arab Rep.",
"EMU","","","Euro area aggregate.","Euro area",
"ERI","Sub-Saharan Africa","Low income","","Eritrea",
"ESP","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 166.386 Spanish peseta. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries.","Spain",
"EST","Europe & Central Asia","High income","The following irrevocable euro conversion rate entered into force on January 1, 2011: 1 euro = 15.6466 Estonian kroon. Please note that historical data are not actual euros and are not comparable or suitable for aggregation across countries.","Estonia",
"ETH","Sub-Saharan Africa","Low income","Fiscal year end: July 7; reporting period for national accounts data: FY.","Ethiopia",
"EUU","","","European Union aggregate.","European Union",
"FCS","","","Fragile and conflict-affected situations aggregate. 

Countries are distinguished based on the nature and severity of issues they face. The classification uses the following categories:
- Countries with high levels of institutional and social fragility, identified based on publicly available indicators that measure the quality of policy and institutions and manifestations of fragility.
- Countries affected by violent conflict, identified based on a threshold number of conflict-related deaths relative to the population. This category includes two sub-categories based on the intensity of violence: countries in high-intensity conflict and countries in medium-intensity conflict.

For more information, please visit https://www.worldbank.org/en/topic/fragilityconflictviolence/brief/harmonized-list-of-fragile-situations.","Fragile and conflict affected situations",
"FIN","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 5.94573 Finnish markka. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries.","Finland",
"FJI","East Asia & Pacific","Upper middle income","","Fiji",
"FRA","Europe & Central Asia","High income","The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 6.55957 French franc. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries.","France",
"FRO","Europe & Central Asia","High income","","Faroe Islands",
"FSM","East Asia & Pacific","Lower middle income","Fiscal year ends on September 30; reporting period for national accounts data: FY. Based on the Pacific and Virgin Islands Training Initiative, national accounts data have been revised.","Micronesia, Fed. Sts.",
"GAB","Sub-Saharan Africa","Upper middle income","","Gabon",
"GBR","Europe & Central Asia","High income","","United Kingdom",
"GEO","Europe & Central Asia","Upper middle income","Includes self-governed areas only, which mostly exclude Abkhazia and South Ossetia, but small areas in Abkhazia and South Ossetia are included before 2008 or 2009 because of the changes in self-governed areas.","Georgia",
"GHA","Sub-Saharan Africa","Lower middle income","","Ghana",
"GIB","Europe & Central Asia","High income","","Gibraltar",
"GIN","Sub-Saharan Africa","Low income","","Guinea",
"GMB","Sub-Saharan Africa","Low income","","Gambia, The",
"GNB","Sub-Saharan Africa","Low income","","Guinea-Bissau",
"GNQ","Sub-Saharan Africa","Upper middle income","","Equatorial Guinea",
"GRC","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 340.75 Greek drachma. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries.","Greece",
"GRD","Latin America & Caribbean","Upper middle income","","Grenada",
"GRL","Europe & Central Asia","High income","","Greenland",
"GTM","Latin America & Caribbean","Upper middle income","","Guatemala",
"GUM","East Asia & Pacific","High income","","Guam",
"GUY","Latin America & Caribbean","Upper middle income","","Guyana",
"HIC","","","High income group aggregate. High-income economies are those in which 2019 GNI per capita was $12,536 or more.","High income",
"HKG","East Asia & Pacific","High income","On 1 July 1997 China resumed its exercise of sovereignty over Hong Kong. Unless otherwise noted, data for China do not include data for Hong Kong SAR, China; Macao SAR, China; or Taiwan, China. Agriculture value added includes mining and quarrying.","Hong Kong SAR, China",
"HND","Latin America & Caribbean","Lower middle income","","Honduras",
"HPC","","","Heavily indebted poor countries aggregate.","Heavily indebted poor countries (HIPC)",
"HRV","Europe & Central Asia","High income","","Croatia",
"HTI","Latin America & Caribbean","Low income","Fiscal year end: September 30; reporting period for national accounts data: FY.","Haiti",
"HUN","Europe & Central Asia","High income","","Hungary",
"IBD","","","IBRD only group aggregate.","IBRD only",
"IBT","","","IDA and IBRD total group aggregate (includes IDA only, IDA blend, and IBRD only).","IDA & IBRD total",
"IDA","","","IDA total group aggregate (includes IDA only and IDA blend).","IDA total",
"IDB","","","IDA blend group aggregate.","IDA blend",
"IDN","East Asia & Pacific","Upper middle income","Fiscal year end: March 31; reporting period for national accounts data: CY. Data for Indonesia include Timor-Leste through 1999 unless otherwise noted.","Indonesia",
"IDX","","","IDA only group aggregate.","IDA only",
"IMN","Europe & Central Asia","High income","","Isle of Man",
"IND","South Asia","Lower middle income","Fiscal year end: March 31; reporting period for national accounts data: FY.","India",
"IRL","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 0.787564 Irish pound. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries.","Ireland",
"IRN","Middle East & North Africa","Upper middle income","Fiscal year end: March 20; reporting period for national accounts data: FY.","Iran, Islamic Rep.",
"IRQ","Middle East & North Africa","Upper middle income","","Iraq",
"ISL","Europe & Central Asia","High income","","Iceland",
"ISR","Middle East & North Africa","High income","","Israel",
"ITA","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 1936.27 Italian lira. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries.","Italy",
"JAM","Latin America & Caribbean","Upper middle income","","Jamaica",
"JOR","Middle East & North Africa","Upper middle income","","Jordan",
"JPN","East Asia & Pacific","High income","Fiscal year end: March 31; reporting period for national accounts data: CY.","Japan",
"KAZ","Europe & Central Asia","Upper middle income","","Kazakhstan",
"KEN","Sub-Saharan Africa","Lower middle income","Fiscal year end: June 30; reporting period for national accounts data: CY.","Kenya",
"KGZ","Europe & Central Asia","Lower middle income","","Kyrgyz Republic",
"KHM","East Asia & Pacific","Lower middle income","","Cambodia",
"KIR","East Asia & Pacific","Lower middle income","","Kiribati",
"KNA","Latin America & Caribbean","High income","","St. Kitts and Nevis",
"KOR","East Asia & Pacific","High income","","Korea, Rep.",
"KWT","Middle East & North Africa","High income","","Kuwait",
"LAC","","","","Latin America & Caribbean (excluding high income)",
"LAO","East Asia & Pacific","Lower middle income","","Lao PDR",
"LBN","Middle East & North Africa","Upper middle income","","Lebanon",
"LBR","Sub-Saharan Africa","Low income","Pre-2000 data will be revised further for consistency and quality purpose.","Liberia",
"LBY","Middle East & North Africa","Upper middle income","","Libya",
"LCA","Latin America & Caribbean","Upper middle income","","St. Lucia",
"LCN","","","","Latin America & Caribbean",
"LDC","","","","Least developed countries: UN classification",
"LIC","","","Low income group aggregate. Low-income economies are those in which 2019 GNI per capita was $1,035 or less.","Low income",
"LIE","Europe & Central Asia","High income","","Liechtenstein",
"LKA","South Asia","Lower middle income","","Sri Lanka",
"LMC","","","Lower middle income group aggregate. Lower-middle-income economies are those in which 2019 GNI per capita was between $1,036 and $4,045.","Lower middle income",
"LMY","","","","Low & middle income",
"LSO","Sub-Saharan Africa","Lower middle income","Fiscal year end: March 31; reporting period for national accounts data: CY.","Lesotho",
"LTE","","","","Late-demographic dividend",
"LTU","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate entered into force on January 1, 2015: 1 euro = 3.45280 Lithuanian litas. Please note that historical data are not actual euros and are not comparable or suitable for aggregation across countries. Based on data from EUROSTAT, the new reference year is 2010.","Lithuania",
"LUX","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 40.3399 Luxembourg franc. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries.","Luxembourg",
"LVA","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate entered into force on January 1, 2014: 1 euro = 0.702804 Latvian lats. Please note that historical data are not actual euros and are not comparable or suitable for aggregation across countries. Based on data from EUROSTAT, the new reference year is 2010.","Latvia",
"MAC","East Asia & Pacific","High income","On 20 December 1999 China resumed its exercise of sovereignty over Macao. Unless otherwise noted, data for China do not include data for Hong Kong SAR, China; Macao SAR, China; or Taiwan, China.","Macao SAR, China",
"MAF","Latin America & Caribbean","High income","","St. Martin (French part)",
"MAR","Middle East & North Africa","Lower middle income","","Morocco",
"MCO","Europe & Central Asia","High income","","Monaco",
"MDA","Europe & Central Asia","Lower middle income","Excluding Transnistria. For 1950-94, World Bank estimates using UN World Population Prospects' growth rates of whole Moldova.","Moldova",
"MDG","Sub-Saharan Africa","Low income","","Madagascar",
"MDV","South Asia","Upper middle income","","Maldives",
"MEA","","","Middle East and North Africa regional aggregate (includes all income levels).","Middle East & North Africa",
"MEX","Latin America & Caribbean","Upper middle income","","Mexico",
"MHL","East Asia & Pacific","Upper middle income","Fiscal year ends on September 30; reporting period for national accounts data: FY.","Marshall Islands",
"MIC","","","Middle income group aggregate. Middle-income economies are those in which 2017 GNI per capita was between $996 and $12,055.","Middle income",
"MKD","Europe & Central Asia","Upper middle income","","North Macedonia",
"MLI","Sub-Saharan Africa","Low income","","Mali",
"MLT","Middle East & North Africa","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate entered into force on January 1, 2008: 1 euro = 0.4293 Maltese lira. Please note that historical data are not actual euros and are not comparable or suitable for aggregation across countries. National accounts data source from 1995 to 2015 is Eurostat; prior to 1995 is UN. The new reference year is 2010.","Malta",
"MMR","East Asia & Pacific","Lower middle income","Fiscal year end: March 31; reporting period for national accounts data: FY.","Myanmar",
"MNA","","","","Middle East & North Africa (excluding high income)",
"MNE","Europe & Central Asia","Upper middle income","Montenegro declared independence from Serbia and Montenegro on June 3, 2006. Where available, data for each country are shown separately. However, for Serbia, some indicators continue to include data for Montenegro through 2005.","Montenegro",
"MNG","East Asia & Pacific","Lower middle income","","Mongolia",
"MNP","East Asia & Pacific","High income","","Northern Mariana Islands",
"MOZ","Sub-Saharan Africa","Low income","","Mozambique",
"MRT","Sub-Saharan Africa","Lower middle income","National account data were adjusted to reflect the new banknote (1 new ouguiya = 10 old ouguiya)","Mauritania",
"MUS","Sub-Saharan Africa","High income","","Mauritius",
"MWI","Sub-Saharan Africa","Low income","","Malawi",
"MYS","East Asia & Pacific","Upper middle income","","Malaysia",
"NAC","","","North America regional aggregate. There are no economies in North America classified as low or middle income.","North America",
"NAM","Sub-Saharan Africa","Upper middle income","Fiscal year end: March 31; reporting period for national accounts data: CY.","Namibia",
"NCL","East Asia & Pacific","High income","","New Caledonia",
"NER","Sub-Saharan Africa","Low income","","Niger",
"NGA","Sub-Saharan Africa","Lower middle income","","Nigeria",
"NIC","Latin America & Caribbean","Lower middle income","","Nicaragua",
"NLD","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 2.20371 Netherlands guilder. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries.","Netherlands",
"NOR","Europe & Central Asia","High income","","Norway",
"NPL","South Asia","Lower middle income","Fiscal year end: July 14; reporting period for national accounts data: FY.","Nepal",
"NRU","East Asia & Pacific","High income","Fiscal year end: June 30; reporting period for national accounts data: FY.","Nauru",
"NZL","East Asia & Pacific","High income","Fiscal year end: March 31; reporting period for national accounts data: CY.","New Zealand",
"OED","","","","OECD members",
"OMN","Middle East & North Africa","High income","","Oman",
"OSS","","","","Other small states",
"PAK","South Asia","Lower middle income","Fiscal year end: June 30; reporting period for national accounts data: FY.","Pakistan",
"PAN","Latin America & Caribbean","High income","","Panama",
"PER","Latin America & Caribbean","Upper middle income","","Peru",
"PHL","East Asia & Pacific","Lower middle income","","Philippines",
"PLW","East Asia & Pacific","High income","Fiscal year ends on September 30; reporting period for national accounts data: FY.","Palau",
"PNG","East Asia & Pacific","Lower middle income","","Papua New Guinea",
"POL","Europe & Central Asia","High income","","Poland",
"PRE","","","Pre-dividend countries are mostly low-income countries, lagging in key human development indicators and with current fertility levels above four births per woman. They face very rapid population growth.","Pre-demographic dividend",
"PRI","Latin America & Caribbean","High income","Fiscal year end: June 30; reporting period for national accounts data: FY.","Puerto Rico",
"PRK","East Asia & Pacific","Low income","","Korea, Dem. People's Rep.",
"PRT","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 200.482 Portuguese escudo. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries.","Portugal",
"PRY","Latin America & Caribbean","Upper middle income","","Paraguay",
"PSE","Middle East & North Africa","Lower middle income","","West Bank and Gaza",
"PSS","","","Pacific island small states aggregate.","Pacific island small states",
"PST","","","Post-dividend countries are mostly high-income countries where fertility has transitioned below replacement levels.","Post-demographic dividend",
"PYF","East Asia & Pacific","High income","","French Polynesia",
"QAT","Middle East & North Africa","High income","","Qatar",
"ROU","Europe & Central Asia","High income","","Romania",
"RUS","Europe & Central Asia","Upper middle income","","Russian Federation",
"RWA","Sub-Saharan Africa","Low income","","Rwanda",
"SAS","","","","South Asia",
"SAU","Middle East & North Africa","High income","","Saudi Arabia",
"SDN","Sub-Saharan Africa","Low income","","Sudan",
"SEN","Sub-Saharan Africa","Lower middle income","","Senegal",
"SGP","East Asia & Pacific","High income","Fiscal year end: March 31; reporting period for national accounts data: CY.","Singapore",
"SLB","East Asia & Pacific","Lower middle income","","Solomon Islands",
"SLE","Sub-Saharan Africa","Low income","","Sierra Leone",
"SLV","Latin America & Caribbean","Lower middle income","","El Salvador",
"SMR","Europe & Central Asia","High income","","San Marino",
"SOM","Sub-Saharan Africa","Low income","","Somalia",
"SRB","Europe & Central Asia","Upper middle income","Montenegro declared independence from Serbia and Montenegro on June 3, 2006. Where available, data for each country are shown separately. However, for Serbia, some indicators, such as those series for which data appear only for Serbia and not Montenegro--e.g., aid, environment, external debt, balance of payments, various social indicators excluding population--continue to include data for Montenegro through 2005. Moreover, data from 1999 onward for Serbia for most indicators exclude data for Kosovo, 1999 being the year when Kosovo became a territory under international administration pursuant to UN Security Council Resolution 1244 (1999); any exceptions are noted. Kosovo became a World Bank member on June 29, 2009; available data are shown separately for Kosovo. In 2011, the Statistical Office of Serbia improved the methodology of national accounts data for 2003 onward. Specifically, the classification of sectors was revised.","Serbia",
"SSA","","","Sub-Saharan Africa regional aggregate (does not include high-income economies).","Sub-Saharan Africa (excluding high income)",
"SSD","Sub-Saharan Africa","Low income","","South Sudan",
"SSF","","","Sub-Saharan Africa regional aggregate (includes all income levels).","Sub-Saharan Africa",
"SST","","","Small states (members of the Small States Forum) aggregate.","Small states",
"STP","Sub-Saharan Africa","Lower middle income","National account data were adjusted to reflect the new banknote (1 new Dobra STN = 1000 old Dobra STD)","São Tomé and Principe",
"SUR","Latin America & Caribbean","Upper middle income","","Suriname",
"SVK","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate entered into force on January 1, 2009: 1 euro = 30.126 Slovak koruna. Please note that historical data are not actual euros and are not comparable or suitable for aggregation across countries.","Slovak Republic",
"SVN","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate entered into force on January 1, 2007: 1 euro = 239.64 Slovenian tolar. Please note that historical data are not actual euros and are not comparable or suitable for aggregation across countries.","Slovenia",
"SWE","Europe & Central Asia","High income","Fiscal year end: June 30; reporting period for national accounts data: CY.","Sweden",
"SWZ","Sub-Saharan Africa","Lower middle income","Fiscal year end: March 31; reporting period for national accounts data: CY. Authorities revised national accounts from 1999 to 2015.","Eswatini",
"SXM","Latin America & Caribbean","High income","","Sint Maarten (Dutch part)",
"SYC","Sub-Saharan Africa","High income","","Seychelles",
"SYR","Middle East & North Africa","Low income","","Syrian Arab Republic",
"TCA","Latin America & Caribbean","High income","","Turks and Caicos Islands",
"TCD","Sub-Saharan Africa","Low income","","Chad",
"TEA","","","East Asia & Pacific (IDA & IBRD countries) aggregate.","East Asia & Pacific (IDA & IBRD)",
"TEC","","","Europe & Central Asia (IDA & IBRD countries) aggregate.","Europe & Central Asia (IDA & IBRD)",
"TGO","Sub-Saharan Africa","Low income","","Togo",
"THA","East Asia & Pacific","Upper middle income","Fiscal year end: September 30; reporting period for national accounts data: CY.","Thailand",
"TJK","Europe & Central Asia","Low income","","Tajikistan",
"TKM","Europe & Central Asia","Upper middle income","","Turkmenistan",
"TLA","","","Latin America & the Caribbean (IDA & IBRD countries) aggregate.","Latin America & Caribbean (IDA & IBRD)",
"TLS","East Asia & Pacific","Lower middle income","","Timor-Leste",
"TMN","","","Middle East & North Africa (IDA & IBRD countries) aggregate.","Middle East & North Africa (IDA & IBRD)",
"TON","East Asia & Pacific","Upper middle income","","Tonga",
"TSA","","","South Asia (IDA & IBRD countries) aggregate.","South Asia (IDA & IBRD)",
"TSS","","","Sub-Saharan Africa (IDA & IBRD countries) aggregate.","Sub-Saharan Africa (IDA & IBRD)",
"TTO","Latin America & Caribbean","High income","","Trinidad and Tobago",
"TUN","Middle East & North Africa","Lower middle income","","Tunisia",
"TUR","Europe & Central Asia","Upper middle income","","Turkey",
"TUV","East Asia & Pacific","Upper middle income","","Tuvalu",
"TZA","Sub-Saharan Africa","Lower middle income","","Tanzania",
"UGA","Sub-Saharan Africa","Low income","Fiscal year end: June 30; reporting period for national accounts data: FY.","Uganda",
"UKR","Europe & Central Asia","Lower middle income","","Ukraine",
"UMC","","","Upper middle income group aggregate. Upper-middle-income economies are those in which 2019 GNI per capita was between $4,046 and $12,535.","Upper middle income",
"URY","Latin America & Caribbean","High income","","Uruguay",
"USA","North America","High income","","United States",
"UZB","Europe & Central Asia","Lower middle income","","Uzbekistan",
"VCT","Latin America & Caribbean","Upper middle income","","St. Vincent and the Grenadines",
"VEN","Latin America & Caribbean","Upper middle income","","Venezuela, RB",
"VGB","Latin America & Caribbean","High income","","British Virgin Islands",
"VIR","Latin America & Caribbean","High income","","Virgin Islands (U.S.)",
"VNM","East Asia & Pacific","Lower middle income","","Vietnam",
"VUT","East Asia & Pacific","Lower middle income","","Vanuatu",
"WLD","","","World aggregate.","World",
"WSM","East Asia & Pacific","Upper middle income","Fiscal year ends on June 30; reporting period for national accounts data: FY.","Samoa",
"XKX","Europe & Central Asia","Upper middle income","","Kosovo",
"YEM","Middle East & North Africa","Low income","","Yemen, Rep.",
"ZAF","Sub-Saharan Africa","Upper middle income","Fiscal year end: March 31; reporting period for national accounts data: CY.","South Africa",
"ZMB","Sub-Saharan Africa","Lower middle income","National accounts data were rebased to reflect the January 1, 2013, introduction of the new Zambian kwacha at a rate of 1,000 old kwacha = 1 new kwacha.","Zambia",
"ZWE","Sub-Saharan Africa","Lower middle income","","Zimbabwe",


Country Name,Country Code,Region,IncomeGroup,SpecialNotes
Aruba,ABW,Latin America & Caribbean,High income: nonOECD,SNA data for 2000-2011 are updated from official government statistics; 1994-1999 from UN databases. Base year has changed from 1995 to 2000.
Afghanistan,AFG,South Asia,Low income,Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy.
Angola,AGO,Sub-Saharan Africa,Upper middle income,"April 2013 database update: Based on IMF data, national accounts data were revised for 2000 onward; the base year changed to 2002."
Albania,ALB,Europe & Central Asia,Upper middle income,
Andorra,AND,Europe & Central Asia,High income: nonOECD,
Arab World,ARB,,,Arab World aggregate. Arab World is composed of members of the League of Arab States.
United Arab Emirates,ARE,Middle East & North Africa,High income: nonOECD,"April 2013 database update: Based on data from the National Bureau of Statistics, national accounts data were revised for 2001 onward; the base year changed to 2007."
Argentina,ARG,Latin America & Caribbean,Upper middle income,
Armenia,ARM,Europe & Central Asia,Lower middle income,
American Samoa,ASM,East Asia & Pacific,Upper middle income,
Antigua and Barbuda,ATG,Latin America & Caribbean,High income: nonOECD,"April 2012 database update: Based on official government statistics, national accounts data were revised for 2000 onward; the base year changed to 2006."
Australia,AUS,East Asia & Pacific,High income: OECD,Fiscal year end: June 30; reporting period for national accounts data: FY. Value added current series updated by the Australian Bureau of Statistics; data revised from 1990 onward; Australia reports using SNA 2008.
Austria,AUT,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 13.7603 Austrian schilling. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries."
Azerbaijan,AZE,Europe & Central Asia,Upper middle income,April 2012 database update: National accounts historical expenditure series in constant prices were revised in line with State Statistical Committee data that were not previously available.
Burundi,BDI,Sub-Saharan Africa,Low income,
Belgium,BEL,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 40.3399 Belgian franc. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries."
Benin,BEN,Sub-Saharan Africa,Low income,
Burkina Faso,BFA,Sub-Saharan Africa,Low income,
Bangladesh,BGD,South Asia,Low income,Fiscal year end: June 30; reporting period for national accounts data: FY.
Bulgaria,BGR,Europe & Central Asia,Upper middle income,April 2011 database update: The National Statistical Office revised national accounts data from 1995 onward. GDP in current prices were about 4 percent higher than previous estimates.
Bahrain,BHR,Middle East & North Africa,High income: nonOECD,
"Bahamas, The",BHS,Latin America & Caribbean,High income: nonOECD,
Bosnia and Herzegovina,BIH,Europe & Central Asia,Upper middle income,
Belarus,BLR,Europe & Central Asia,Upper middle income,
Belize,BLZ,Latin America & Caribbean,Upper middle income,
Bermuda,BMU,North America,High income: nonOECD,
Bolivia,BOL,Latin America & Caribbean,Lower middle income,
Brazil,BRA,Latin America & Caribbean,Upper middle income,
Barbados,BRB,Latin America & Caribbean,High income: nonOECD,
Brunei Darussalam,BRN,East Asia & Pacific,High income: nonOECD,
Bhutan,BTN,South Asia,Lower middle income,April 2013 database update: Data were updated using the government of Bhutan macroeconomic framework.
Botswana,BWA,Sub-Saharan Africa,Upper middle income,"Fiscal year end: March 31; reporting period for national accounts data: CY. Based on official government statistics, national accounts data have been revised from 2006 onward; the new base year is 2006. Data before 2006 were reported on a fiscal year basis."
Sub-Saharan Africa (IFC classification),CAA,,,Sub-Saharan Africa (IFC classification) aggregate.
Central African Republic,CAF,Sub-Saharan Africa,Low income,
Canada,CAN,North America,High income: OECD,Fiscal year end: March 31; reporting period for national accounts data: CY.
East Asia and the Pacific (IFC classification),CEA,,,East Asia and the Pacific (IFC classification) aggregate.
Central Europe and the Baltics,CEB,,,Central Europe and the Baltics aggregate.
Europe and Central Asia (IFC classification),CEU,,,Europe and Central Asia (IFC classification) aggregate.
Switzerland,CHE,Europe & Central Asia,High income: OECD,
Channel Islands,CHI,Europe & Central Asia,High income: nonOECD,
Chile,CHL,Latin America & Caribbean,High income: OECD,
China,CHN,East Asia & Pacific,Upper middle income,"On 1 July 1997 China resumed its exercise of sovereignty over Hong Kong; and on 20 December 1999 China resumed its exercise of sovereignty over Macao. Unless otherwise noted, data for China do not include data for Hong Kong SAR, China; Macao SAR, China; or Taiwan, China. Based on data from the National Bureau of Statistics, the methodology for national accounts exports and imports of goods and services in constant prices have been revised from 2000 onward."
Côte d'Ivoire,CIV,Sub-Saharan Africa,Lower middle income,
Latin America and the Caribbean (IFC classification),CLA,,,Latin America and the Caribbean (IFC classification) aggregate.
Middle East and North Africa (IFC classification),CME,,,Middle East and North Africa (IFC classification) aggregate.
Cameroon,CMR,Sub-Saharan Africa,Lower middle income,
"Congo, Dem. Rep.",COD,Sub-Saharan Africa,Low income,"Based on INS (2000-09) and IMF (2010-13) data, national accounts data were revised for 2000 onward; the base year changed to 2005."
"Congo, Rep.",COG,Sub-Saharan Africa,Lower middle income,"April 2013 database update: Based on IMF data, national accounts data were revised for 1990 onward; the base year changed to 1990."
Colombia,COL,Latin America & Caribbean,Upper middle income,
Comoros,COM,Sub-Saharan Africa,Low income,
Cabo Verde,CPV,Sub-Saharan Africa,Lower middle income,"Cabo Verde is the new name for the country previously listed as Cape Verde. Based on official government statistics and IMF data, national accounts data have been revised from 1990 onward; the new base year is 2007."
Costa Rica,CRI,Latin America & Caribbean,Upper middle income,
South Asia (IFC classification),CSA,,,South Asia (IFC classification) aggregate.
Caribbean small states,CSS,,,"Caribbean small states aggregate. Includes Antigua and Barbuda, The Bahamas, Barbados, Belize, Guyana, Suriname, Dominica, Grenada, Jamaica, St. Kitts and Nevis, St. Lucia, St. Vincent and the Grenadines, and Trinidad and Tobago."
Cuba,CUB,Latin America & Caribbean,Upper middle income,
Curaçao,CUW,Latin America & Caribbean,High income: nonOECD,
Cayman Islands,CYM,Latin America & Caribbean,High income: nonOECD,
Cyprus,CYP,Europe & Central Asia,High income: nonOECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate entered into force on January 1, 2008: 1 euro = 0.585274 Cyprus pounds. Please note that historical data are not actual euros and are not comparable or suitable for aggregation across countries."
Czech Republic,CZE,Europe & Central Asia,High income: OECD,
Germany,DEU,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 1.95583 German mark. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries."
Djibouti,DJI,Middle East & North Africa,Lower middle income,
Dominica,DMA,Latin America & Caribbean,Upper middle income,"April 2012 database update: Based on official government statistics, national accounts data were revised for 2000 onward; the base year changed to 2006."
Denmark,DNK,Europe & Central Asia,High income: OECD,
Dominican Republic,DOM,Latin America & Caribbean,Upper middle income,
Algeria,DZA,Middle East & North Africa,Upper middle income,
East Asia & Pacific,EAP,,,East Asia and Pacific regional aggregate (does not include high-income economies).
East Asia & Pacific (all income levels),EAS,,,East Asia and Pacific regional aggregate (including high-income economies).
Europe & Central Asia,ECA,,,Europe and Central Asia regional aggregate (does not include high-income economies).
Europe & Central Asia (all income levels),ECS,,,Europe and Central Asia regional aggregate (including high-income economies).
Ecuador,ECU,Latin America & Caribbean,Upper middle income,National accounts have been revised from 1965 onward based on official government data; the new base year is 2007. The large upward changes are due to an improved calculation method for nominal GDP.
"Egypt, Arab Rep.",EGY,Middle East & North Africa,Lower middle income,Fiscal year end: June 30; reporting period for national accounts data: FY.
Euro area,EMU,,,Euro area aggregate.
Eritrea,ERI,Sub-Saharan Africa,Low income,"April 2013 database update: Based on IMF data, national accounts data were revised for 2000 onward; the base year changed to 2000."
Spain,ESP,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 166.386 Spanish peseta. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries."
Estonia,EST,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate entered into force on January 1, 2011: 1 euro = 15.6466 Estonian kroon. Please note that historical data are not actual euros and are not comparable or suitable for aggregation across countries."
Ethiopia,ETH,Sub-Saharan Africa,Low income,"Fiscal year end: July 7; reporting period for national accounts data: FY. Based on IMF data, national accounts data have been revised for 2000 onward; the new base year is 2011."
European Union,EUU,,,European Union aggregate.
Fragile and conflict affected situations,FCS,,,"Fragile situations aggregate. Note:  Countries with fragile situations are primarily International Development Association-eligible countries and nonmember or inactive countries and territories with a 3.2 or lower harmonized average of the World Bank's Country Policy and Institutional Assessment rating and the corresponding rating by a regional development bank, or that have had a UN or regional peacebuilding and political mission (for example by the African Union, European Union, or Organization of American States) or peacekeeping mission (for example, by the African Union, European Union, North Atlantic Treaty Organization, or Organization of American States) during the last three years.  This definition is pursuant to an agreement between the World Bank and other multilateral development banks at the start of the International Development Association 15 round in 2007. The list of countries and territories with fragile situations  is imperfect and used here to reflect a complex concept. The World Bank continues to work with partners and client countries to refine the concept."
Finland,FIN,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 5.94573 Finnish markka. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries."
Fiji,FJI,East Asia & Pacific,Upper middle income,"Based on data from the Bureau of Statistics, national accounts data on the expenditure side have been revised from 2005 onward; the new base year is 2005."
France,FRA,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 6.55957 French franc. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries."
Faeroe Islands,FRO,Europe & Central Asia,High income: nonOECD,
"Micronesia, Fed. Sts.",FSM,East Asia & Pacific,Lower middle income,"Fiscal year ends on September 30; reporting period for national accounts data: FY. Based on the Pacific and Virgin Islands Training Initiative, national accounts data have been revised from 2009 onward. 2013 estimates are based on the IMF Small States Monitor, Issue 1.2014. In 2010, the government statistical office revised national accounts data for 1995-2008."
Gabon,GAB,Sub-Saharan Africa,Upper middle income,
United Kingdom,GBR,Europe & Central Asia,High income: OECD,
Georgia,GEO,Europe & Central Asia,Lower middle income,
Ghana,GHA,Sub-Saharan Africa,Lower middle income,"In 2010, the Ghana Statistical Service revised the base year for Ghana's national accounts series from 1993 to 2006. The new GDP data were about 60 percent higher than previously reported and incorporated improved data sources and methodology."
Guinea,GIN,Sub-Saharan Africa,Low income,
"Gambia, The",GMB,Sub-Saharan Africa,Low income,"Fiscal year end: June 30; reporting period for national accounts data: CY. April 2013 database update: Based on official government statistics, national accounts data were revised for 2004 onward; the base year changed to 2004."
Guinea-Bissau,GNB,Sub-Saharan Africa,Low income,"In 2010, national accounts data for 2003-09 were revised. The new data had broader coverage of all sectors of the economy, and GDP in current prices averaged 89 percent higher than previous estimates."
Equatorial Guinea,GNQ,Sub-Saharan Africa,High income: nonOECD,National accounts have been revised from 1980 onward based on official government data; the new base year is 2006.
Greece,GRC,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 340.75 Greek drachma. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries."
Grenada,GRD,Latin America & Caribbean,Upper middle income,"April 2012 database update: Based on official government statistics, national accounts data were revised for 2000 onward; the base year changed to 2006."
Greenland,GRL,Europe & Central Asia,High income: nonOECD,
Guatemala,GTM,Latin America & Caribbean,Lower middle income,
Guam,GUM,East Asia & Pacific,High income: nonOECD,
Guyana,GUY,Latin America & Caribbean,Lower middle income,"In 2010, the Bureau of Statistics introduced a new series of GDP rebased to year 2006. Current price GDP averaged 63 percent higher than previous estimates."
High income,HIC,,,"High income group aggregate. High-income economies are those in which 2013 GNI per capita was $12,746 or more."
"Hong Kong SAR, China",HKG,East Asia & Pacific,High income: nonOECD,"On 1 July 1997 China resumed its exercise of sovereignty over Hong Kong. Unless otherwise noted, data for China do not include data for Hong Kong SAR, China; Macao SAR, China; or Taiwan, China. Agriculture value added includes mining and quarrying."
Honduras,HND,Latin America & Caribbean,Lower middle income,
Heavily indebted poor countries (HIPC),HPC,,,Heavily indebted poor countries aggregate.
Croatia,HRV,Europe & Central Asia,High income: nonOECD,"April 2013 database update: Based on official government statistics, the base year for constant price series changed to 2005."
Haiti,HTI,Latin America & Caribbean,Low income,"Fiscal year end: September 30; reporting period for national accounts data: FY. In 2010, the government revised national accounts data following changes in the methodology. Current price series since 1991 and constant price series since 1996 were revised."
Hungary,HUN,Europe & Central Asia,Upper middle income,"April 2012 database update: Based on data from the Organisation for Economic Co-operation and Development, national accounts data were revised for 1991 onward."
Indonesia,IDN,East Asia & Pacific,Lower middle income,Fiscal year end: March 31; reporting period for national accounts data: CY. Data for Indonesia include Timor-Leste through 1999 unless otherwise noted.
Isle of Man,IMN,Europe & Central Asia,High income: nonOECD,
India,IND,South Asia,Lower middle income,Fiscal year end: March 31; reporting period for national accounts data: FY. April 2013 database update: The India Central Statistical Office revised historical data series both current and constant going back to 1960 with 2004–05 as the base.
Ireland,IRL,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 0.787564 Irish pound. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries."
"Iran, Islamic Rep.",IRN,Middle East & North Africa,Upper middle income,Fiscal year end: March 20; reporting period for national accounts data: FY.
Iraq,IRQ,Middle East & North Africa,Upper middle income,National accounts have been revised from 2000 onward based on official government data; the new base year is 1988. The new series raises GDP significantly from previous estimates.
Iceland,ISL,Europe & Central Asia,High income: OECD,
Israel,ISR,Middle East & North Africa,High income: OECD,
Italy,ITA,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 1936.27 Italian lira. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries."
Jamaica,JAM,Latin America & Caribbean,Upper middle income,"April 2013 database update: Based on official government statistics, national accounts data were revised for 2002 onward; the base year changed to 2007."
Jordan,JOR,Middle East & North Africa,Upper middle income,
Japan,JPN,East Asia & Pacific,High income: OECD,Fiscal year end: March 31; reporting period for national accounts data: CY.
Kazakhstan,KAZ,Europe & Central Asia,Upper middle income,
Kenya,KEN,Sub-Saharan Africa,Low income,Fiscal year end: June 30; reporting period for national accounts data: CY.
Kyrgyz Republic,KGZ,Europe & Central Asia,Lower middle income,
Cambodia,KHM,East Asia & Pacific,Low income,
Kiribati,KIR,East Asia & Pacific,Lower middle income,"Based on IMF and World Bank data, GDP in current and constant prices have been revised from 2000 onward. Value added components are calculated using shares from the Asian Development Bank."
St. Kitts and Nevis,KNA,Latin America & Caribbean,High income: nonOECD,"April 2012 database update: Based on official government statistics, national accounts data were revised for 2000 onward; the base year changed to 2006."
"Korea, Rep.",KOR,East Asia & Pacific,High income: OECD,New base year is 2010. GDP data are available from 1970 onward while components are revised from 2000 onward only. Historical data in constant prices are linked to preserve growth rates.
Kosovo,KSV,Europe & Central Asia,Lower middle income,"Kosovo became a World Bank member on June 29, 2009. Since 1999, Kosovo has been a territory under international administration pursuant to UN Security Council Resolution 1244 (1999)."
Kuwait,KWT,Middle East & North Africa,High income: nonOECD,Fiscal year end: June 30; reporting period for national accounts data: CY.
Latin America & Caribbean,LAC,,,Latin America and Caribbean regional aggregate (does not include high-income economies).
Lao PDR,LAO,East Asia & Pacific,Lower middle income,
Lebanon,LBN,Middle East & North Africa,Upper middle income,
Liberia,LBR,Sub-Saharan Africa,Low income,"April 2013 database update: Based on IMF data, national accounts data were revised for 2000 onward; the base year changed to 2000."
Libya,LBY,Middle East & North Africa,Upper middle income,National accounts data are revised from 2010 to 2013 based on IMF and World Bank staff estimates.
St. Lucia,LCA,Latin America & Caribbean,Upper middle income,"April 2012 database update: Based on official government statistics, national accounts data were revised for 2000 onward; the base year changed to 2006."
Latin America & Caribbean (all income levels),LCN,,,Latin America and Caribbean regional aggregate (including high-income economies).
Least developed countries: UN classification,LDC,,,Least developed countries (UN classification) aggregate.
Low income,LIC,,,"Low income group aggregate. Low-income economies are those in which 2013 GNI per capita was $1,045 or less."
Liechtenstein,LIE,Europe & Central Asia,High income: nonOECD,
Sri Lanka,LKA,South Asia,Lower middle income,
Lower middle income,LMC,,,"Lower middle income group aggregate. Lower-middle-income economies are those in which 2013 GNI per capita was between $1,046 and $4,125."
Low & middle income,LMY,,,"Low and middle income group aggregate (all developing economies). Low- and middle-income economies are those in which 2013 GNI per capita was $12,745 or less."
Lesotho,LSO,Sub-Saharan Africa,Lower middle income,Fiscal year end: March 31; reporting period for national accounts data: CY.
Lithuania,LTU,Europe & Central Asia,High income: nonOECD,
Luxembourg,LUX,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 40.3399 Luxembourg franc. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries."
Latvia,LVA,Europe & Central Asia,High income: nonOECD,Country joined euro area on 1 January 2014; data in the WDI database are reported in lats.
"Macao SAR, China",MAC,East Asia & Pacific,High income: nonOECD,"On 20 December 1999 China resumed its exercise of sovereignty over Macao. Unless otherwise noted, data for China do not include data for Hong Kong SAR, China; Macao SAR, China; or Taiwan, China."
St. Martin (French part),MAF,Latin America & Caribbean,High income: nonOECD,
Morocco,MAR,Middle East & North Africa,Lower middle income,
Monaco,MCO,Europe & Central Asia,High income: nonOECD,
Moldova,MDA,Europe & Central Asia,Lower middle income,
Madagascar,MDG,Sub-Saharan Africa,Low income,
Maldives,MDV,South Asia,Upper middle income,April 2012 database update: The Department of National Planning revised national accounts data for 2000 onward; the base year changed to 2003.
Middle East & North Africa (all income levels),MEA,,,Middle East and North Africa regional aggregate (including high-income economies).
Mexico,MEX,Latin America & Caribbean,Upper middle income,The new base year is 2008.
Marshall Islands,MHL,East Asia & Pacific,Upper middle income,Fiscal year ends on September 30; reporting period for national accounts data: FY.
Middle income,MIC,,,"Middle income group aggregate. Middle-income economies are those in which 2013 GNI per capita was between 1,046and12,745."
"Macedonia, FYR",MKD,Europe & Central Asia,Upper middle income,"April 2012 database update: Based on official statistics, national accounts data were revised for 2003 onward."
Mali,MLI,Sub-Saharan Africa,Low income,
Malta,MLT,Middle East & North Africa,High income: nonOECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate entered into force on January 1, 2008: 1 euro = 0.4293 Maltese lira. Please note that historical data are not actual euros and are not comparable or suitable for aggregation across countries."
Myanmar,MMR,East Asia & Pacific,Low income,Fiscal year end: March 31; reporting period for national accounts data: FY.
Middle East & North Africa,MNA,,,Middle East and North Africa regional aggregate (does not include high-income economies).
Montenegro,MNE,Europe & Central Asia,Upper middle income,"Montenegro declared independence from Serbia and Montenegro on June 3, 2006. Where available, data for each country are shown separately. However, for Serbia, some indicators continue to include data for Montenegro through 2005."
Mongolia,MNG,East Asia & Pacific,Lower middle income,
Northern Mariana Islands,MNP,East Asia & Pacific,High income: nonOECD,
Mozambique,MOZ,Sub-Saharan Africa,Low income,
Mauritania,MRT,Sub-Saharan Africa,Lower middle income,"April 2012 database update: Based on official government statistics, data were revised for 1991 onward; the base year for constant price series changed to 2004."
Mauritius,MUS,Sub-Saharan Africa,Upper middle income,
Malawi,MWI,Sub-Saharan Africa,Low income,"Fiscal year end: March 31; reporting period for national accounts data: CY. Based on IMF data, national accounts data have been revised for 2000 onward; the new base year is 2009."
Malaysia,MYS,East Asia & Pacific,Upper middle income,"Based on official government statistics, value added in services in constant and current prices have been revised from 1990 onward. National accounts data in constant prices have been linked back to 1960; the new base year is 2005."
North America,NAC,,,North America regional aggregate. There are no economies in North America classified as low or middle income.
Namibia,NAM,Sub-Saharan Africa,Upper middle income,"Fiscal year end: March 31; reporting period for national accounts data: CY. Based on official government statistics, national accounts data have been revised from 1980 onward; the new base year is 2010."
New Caledonia,NCL,East Asia & Pacific,High income: nonOECD,
Niger,NER,Sub-Saharan Africa,Low income,"Based on official government statistics, national accounts data have been revised from 2006 onward; the new base year is 2006."
Nigeria,NGA,Sub-Saharan Africa,Lower middle income,"Based on official government statistics released 6 April, 2014, national accounts data have been revised from 2010 onward; the new base year is 2010. The new GDP data are 60 to 75 percent higher than previously reported and incorporate improved data sources and methodology."
Nicaragua,NIC,Latin America & Caribbean,Lower middle income,"April 2013 database update: Based on official government statistics, national accounts data were revised for 1994 onward; the base year changed to 2006."
Netherlands,NLD,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 2.20371 Netherlands guilder. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries."
High income: nonOECD,NOC,,,"High income nonOECD aggregate. High-income economies are those in which 2013 GNI per capita was $12,746 or more."
Norway,NOR,Europe & Central Asia,High income: OECD,
Nepal,NPL,South Asia,Low income,Fiscal year end: July 14; reporting period for national accounts data: FY.
New Zealand,NZL,East Asia & Pacific,High income: OECD,Fiscal year end: March 31; reporting period for national accounts data: FY.
High income: OECD,OEC,,,"High income OECD members aggregate. High-income economies are those in which 2013 GNI per capita was $12,746 or more."
OECD members,OED,,,"OECD members aggregate (all, including developing countries)."
Oman,OMN,Middle East & North Africa,High income: nonOECD,
Other small states,OSS,,,"Other small states aggregate. Includes Bhutan, Botswana, Cabo Verde, Comoros, Djibouti, Equatorial Guinea, Gabon, The Gambia, Guinea-Bissau, Lesotho, Maldives, Mauritius, Montenegro, Namibia, Sao Tome and Principe, Seychelles, Swaziland, and Timor-Leste."
Pakistan,PAK,South Asia,Lower middle income,Fiscal year end: June 30; reporting period for national accounts data: FY. The new base year is 2005/06.
Panama,PAN,Latin America & Caribbean,Upper middle income,
Peru,PER,Latin America & Caribbean,Upper middle income,
Philippines,PHL,East Asia & Pacific,Lower middle income,"Source for GNI and net income from abroad is changed to national statistical office from central bank. April 2012 database update: National accounts data were revised for 1998 onward. Because intellectual property products are now reported as a part of gross fixed capital formation, gross domestic product (GDP) in current prices averaged 4 percent higher than previous estimates."
Palau,PLW,East Asia & Pacific,Upper middle income,Fiscal year ends on September 30; reporting period for national accounts data: FY. National accounts data are revised based on IMF reports.
Papua New Guinea,PNG,East Asia & Pacific,Lower middle income,
Poland,POL,Europe & Central Asia,High income: OECD,
Puerto Rico,PRI,Latin America & Caribbean,High income: nonOECD,"Fiscal year end: June 30; reporting period for national accounts data: FY. April 2012 database update: Based on data from the Instituto de Estadísticas de Puerto Rico, national accounts data were revised for 2001 onward."
"Korea, Dem. Rep.",PRK,East Asia & Pacific,Low income,
Portugal,PRT,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 200.482 Portuguese escudo. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries."
Paraguay,PRY,Latin America & Caribbean,Lower middle income,"National accounts data have been revised from 1960 onward. The methodology and base year have not changed but the output of two hydroelectric plants (shared with neighboring countries) has been added raising GDP from previous estimates. On the supply side, it was added in ""gas, electricity and water."" On the demand side changes were mainly to exports, but also for imports, investment and consumption. National accounts price valuations for 1991 to 2012 have also been corrected and changed from VAP to VAB."
West Bank and Gaza,PSE,Middle East & North Africa,Lower middle income,
Pacific island small states,PSS,,,"Pacific island small states aggregate. Includes Fiji, Kiribati, Marshall Islands, Federated States of Micronesia, Palau, Samoa, Solomon Islands, Tonga, Tuvalu, and Vanuatu."
French Polynesia,PYF,East Asia & Pacific,High income: nonOECD,
Qatar,QAT,Middle East & North Africa,High income: nonOECD,
Romania,ROU,Europe & Central Asia,Upper middle income,National accounts have been revised based on data from the National Statistical Institute; the new base year is 2000.
Russian Federation,RUS,Europe & Central Asia,High income: nonOECD,
Rwanda,RWA,Sub-Saharan Africa,Low income,"Based on official government statistics, national accounts data are revised for 2006 onward; the new base year is 2011."
South Asia,SAS,,,South Asia regional aggregate. There are no economies in South Asia classified as high income.
Saudi Arabia,SAU,Middle East & North Africa,High income: nonOECD,
Sudan,SDN,Sub-Saharan Africa,Lower middle income,"Total population data are reported separately for Sudan and South Sudan; see specific notes for other demographic-related series. National accounts data exclude South Sudan after July 9, 2011. Other data reported for Sudan include South Sudan unless otherwise noted."
Senegal,SEN,Sub-Saharan Africa,Lower middle income,
Singapore,SGP,East Asia & Pacific,High income: nonOECD,Fiscal year end: March 31; reporting period for national accounts data: CY. Country reports using a blend of SNA 1993 and SNA 2008. April 2012 database update: National accounts time series were replaced with official government statistics.
Solomon Islands,SLB,East Asia & Pacific,Lower middle income,National accounts data have been revised from 2007 to 2013 based on IMF reports.
Sierra Leone,SLE,Sub-Saharan Africa,Low income,"Fiscal year end: June 30; reporting period for national accounts data: CY. April 2013 database update: Based on official government statistics, national accounts data were revised for 1990 onward; the base year changed to 2006."
El Salvador,SLV,Latin America & Caribbean,Lower middle income,
San Marino,SMR,Europe & Central Asia,High income: nonOECD,
Somalia,SOM,Sub-Saharan Africa,Low income,
Serbia,SRB,Europe & Central Asia,Upper middle income,"Montenegro declared independence from Serbia and Montenegro on June 3, 2006. Where available, data for each country are shown separately. However, for Serbia, some indicators, such as those series for which data appear only for Serbia and not Montenegro--e.g., aid, environment, external debt, balance of payments, various social indicators excluding population--continue to include data for Montenegro through 2005. Moreover, data from 1999 onward for Serbia for most indicators exclude data for Kosovo, 1999 being the year when Kosovo became a territory under international administration pursuant to UN Security Council Resolution 1244 (1999); any exceptions are noted. Kosovo became a World Bank member on June 29, 2009; available data are shown separately for Kosovo. In 2011, the Statistical Office of Serbia improved the methodology of national accounts data for 2003 onward. Specifically, the classification of sectors was revised, and GDP is now calculated using chain linked volumes in 2005 prices."
Sub-Saharan Africa,SSA,,,Sub-Saharan Africa regional aggregate (does not include high-income economies).
South Sudan,SSD,Sub-Saharan Africa,Lower middle income,"South Sudan declared its independence on July 9, 2011. Data are shown separately for South Sudan where available. However, data reported for Sudan include South Sudan unless otherwise noted. Though limited data are available in the WDI database for South Sudan, additional data are available from South Sudan's National Bureau of Statistics (http://ssnbs.org/)."
Sub-Saharan Africa (all income levels),SSF,,,Sub-Saharan Africa regional aggregate (including high-income economies).
Small states,SST,,,"Small states aggregate. Includes 41 members of the Small States Forum. (Does not include the high-income countries Bahrain, Brunei Darussalam, Cyprus, Estonia, Iceland, Malta, Qatar, and San Marino.)"
São Tomé and Principe,STP,Sub-Saharan Africa,Lower middle income,"Based on IMF data, national accounts data have been revised for 2000 onward; the new base year is 2000."
Suriname,SUR,Latin America & Caribbean,Upper middle income,
Slovak Republic,SVK,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate entered into force on January 1, 2009: 1 euro = 30.126 Slovak koruna. Please note that historical data are not actual euros and are not comparable or suitable for aggregation across countries."
Slovenia,SVN,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate entered into force on January 1, 2007: 1 euro = 239.64 Slovenian tolar. Please note that historical data are not actual euros and are not comparable or suitable for aggregation across countries."
Sweden,SWE,Europe & Central Asia,High income: OECD,Fiscal year end: June 30; reporting period for national accounts data: CY.
Swaziland,SWZ,Sub-Saharan Africa,Lower middle income,"Fiscal year end: March 31; reporting period for national accounts data: CY. In 2011, the Central Statistical Office revised national accounts data for 1990 onward."
Sint Maarten (Dutch part),SXM,Latin America & Caribbean,High income: nonOECD,
Seychelles,SYC,Sub-Saharan Africa,Upper middle income,"April 2013 database update: Based on official government statistics, national accounts data were revised for 1976 onward; the base year changed to 2006."
Syrian Arab Republic,SYR,Middle East & North Africa,Lower middle income,"April 2013 database update: Based on data from the Central Bureau of Statistics, national accounts data were revised for 2003 onward."
Turks and Caicos Islands,TCA,Latin America & Caribbean,High income: nonOECD,
Chad,TCD,Sub-Saharan Africa,Low income,"Based on IMF data, national accounts data have been revised for 2005 onward; the new base year is 2005."
Togo,TGO,Sub-Saharan Africa,Low income,"April 2013 database update: Based on IMF data, national accounts data have been revised for 2000; the new base year is 2000."
Thailand,THA,East Asia & Pacific,Upper middle income,Fiscal year end: September 30; reporting period for national accounts data: CY.
Tajikistan,TJK,Europe & Central Asia,Low income,
Turkmenistan,TKM,Europe & Central Asia,Upper middle income,"On January 1, 2009, the Turkmen manat was redenominated (1 new manat = 5,000 old manats)."
Timor-Leste,TLS,East Asia & Pacific,Lower middle income,"Based on official government statistics, national account data have been revised, and value added is measured at basic prices; the new base year is 2010."
Tonga,TON,East Asia & Pacific,Upper middle income,"Fiscal year ends on June 30; reporting period for national accounts data: FY. April 2013 database update: Based on data from the National Bureau of Statistics, national accounts data were revised; the base year changed to 2010/11."
Trinidad and Tobago,TTO,Latin America & Caribbean,High income: nonOECD,
Tunisia,TUN,Middle East & North Africa,Upper middle income,"National accounts data from 2005 onward have been revised based on data published by the Tunisian authorities. April 2012 database update: Based on data from the Central Bank and its Statistical Bulletin, national accounts data were revised for 1997 onward."
Turkey,TUR,Europe & Central Asia,Upper middle income,
Tuvalu,TUV,East Asia & Pacific,Upper middle income,"Based on data from the IMF, World Bank and government official statistics, national accounts data have been revised from 2006 onward. Value added is measured at producer prices up to 1999 and at basic prices from 2000 onward."
Tanzania,TZA,Sub-Saharan Africa,Low income,
Uganda,UGA,Sub-Saharan Africa,Low income,"Fiscal year end: June 30; reporting period for national accounts data: FY. In 2011, the Bureau of Statistics revised national accounts series for 1998 onward; the base year for constant price series changed to 2001/02."
Ukraine,UKR,Europe & Central Asia,Lower middle income,
Upper middle income,UMC,,,"Upper middle income group aggregate. Upper-middle-income economies are those in which 2013 GNI per capita was between 4,126and12,745."
Uruguay,URY,Latin America & Caribbean,High income: nonOECD,"In 2011, the Central Bank revised national accounts data for 2006 onward."
United States,USA,North America,High income: OECD,Fiscal year end: September 30; reporting period for national accounts data: CY.
Uzbekistan,UZB,Europe & Central Asia,Lower middle income,
St. Vincent and the Grenadines,VCT,Latin America & Caribbean,Upper middle income,"April 2012 database update: Based on official government statistics, national accounts data were revised for 2000 onward; the base year changed to 2006."
"Venezuela, RB",VEN,Latin America & Caribbean,Upper middle income,
Virgin Islands (U.S.),VIR,Latin America & Caribbean,High income: nonOECD,
Vietnam,VNM,East Asia & Pacific,Lower middle income,"Based on data from the Vietnam Statistics Office, national accounts data have been revised from 2000 onward; the new base year is 2010."
Vanuatu,VUT,East Asia & Pacific,Lower middle income,"Based on official government statistics, value added is measured at producer prices through 1997 and at basic prices from 1998 onward."
World,WLD,,,World aggregate.
Samoa,WSM,East Asia & Pacific,Lower middle income,Fiscal year ends on June 30; reporting period for national accounts data: FY. Data are revised from Samoa Bureau of Statistics and Central Bank of Samoa.
"Yemen, Rep.",YEM,Middle East & North Africa,Lower middle income,"Based on official government statistics and International Monetary Fund data, national accounts data have been revised for 1990 onward."
South Africa,ZAF,Sub-Saharan Africa,Upper middle income,Fiscal year end: March 31; reporting period for national accounts data: CY.
Zambia,ZMB,Sub-Saharan Africa,Lower middle income,"National accounts data have rebased to reflect the January 1, 2013, introduction of the new Zambian kwacha at a rate of 1,000 old kwacha = 1 new kwacha."
Zimbabwe,ZWE,Sub-Saharan Africa,Low income,"Fiscal year end: June 30; reporting period for national accounts data: CY. As of January 2009, multiple hard currencies, such as rand, pound sterling, euro and U.S. dollar are in use. Data are reported in U.S. dollars, the most-used currency."


Genus,Species,parameter_value,parameter_(tmax_or_tmin),error_estimate,error_type,sample_size,metric_type,metric_description,ramping_rate,duration_of_chronic_exposure,pretreatment_temp,pretreatment_duration,temp_before_pretreament_(held_or_FF_for_field_fresh),timing_of_collection,lat_of_collection,long_of_collection,elevation_of_collection,location_description,REF,life_stage,Phylum,Class,Order,Family,Realm_specific,Realm_general,Notes
Eleutherodactylus,coqui,37.1,tmax,0.66,SD,12,critical,no_response_to_prodding,0.5,NA,NA,NA,FF,spring,18.29,-65.8,700,El Yunque National Forest,Christian_et_al_1988,adult,Chordata,Amphibia,Anura,Eleutherodactylidae,,terrestrial,
Eleutherodactylus,coqui,37.2,tmax,0.8,SD,10,critical,no_response_to_prodding,0.5,NA,NA,NA,FF,spring,18.4,-66.05,15,University of Puerto Rico,Christian_et_al_1988,adult,Chordata,Amphibia,Anura,Eleutherodactylidae,,terrestrial,
Eleutherodactylus,coqui,36.8,tmax,0.6,SD,12,critical,no_response_to_prodding,0.5,NA,NA,NA,FF,fall,18.29,-65.8,700,El Yunque National Forest,Christian_et_al_1988,adult,Chordata,Amphibia,Anura,Eleutherodactylidae,,terrestrial,
Eleutherodactylus,coqui,37,tmax,0.45,SD,9,critical,no_response_to_prodding,0.5,NA,NA,NA,FF,fall,18.4,-66.05,15,University of Puerto Rico,Christian_et_al_1988,adult,Chordata,Amphibia,Anura,Eleutherodactylidae,,terrestrial,
Eleutherodactylus,coqui,7.5,tmin,0.5,SD,8,critical,no_response_to_prodding,0.5,NA,20,1w,NA,spring,18.29,-65.8,700,El Yunque National Forest,Christian_et_al_1988,adult,Chordata,Amphibia,Anura,Eleutherodactylidae,,terrestrial,
Eleutherodactylus,coqui,7.3,tmin,1.5,SD,10,critical,no_response_to_prodding,0.5,NA,20,1w,NA,spring,18.4,-66.05,15,University of Puerto Rico,Christian_et_al_1988,adult,Chordata,Amphibia,Anura,Eleutherodactylidae,,terrestrial,
Todus,mexicanus,,,,,,,,,,,,,,,,,,Merola-Zwartjes_&_Ligon_2000,,Chordata,Aves,Coraciiformes,Todidae,,terrestrial,UTNZ LTNZ
Donax,serra,34,tmax,,,,lethal,temperature_at_50%_damage_after_6h_treatment,NA,6h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,small
Donax,serra,35.6,tmax,,,,lethal,temperature_at_50%_damage_after_3h_treatment,NA,3h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,large
Donax,serra,34.8,tmax,,,,lethal,temperature_at_50%_damage_after_6h_treatment,NA,6h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,large
Donax,serra,31,tmax,,,,lethal,temperature_at_50%_damage_after_12h_treatment,NA,12h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,small
Donax,serra,29,tmax,,,,lethal,temperature_at_50%_damage_after_24h_treatment,NA,24h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,small
Donax,serra,27.2,tmax,,,,lethal,temperature_at_50%_damage_after_48h_treatment,NA,48h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,small
Donax,serra,27,tmax,,,,lethal,temperature_at_50%_damage_after_72h_treatment,NA,72h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,small
Donax,serra,27,tmax,,,,lethal,temperature_at_50%_damage_after_96h_treatment,NA,96h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,small
Donax,serra,33,tmax,,,,lethal,temperature_at_50%_damage_after_12h_treatment,NA,12h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,large
Donax,serra,31,tmax,,,,lethal,temperature_at_50%_damage_after_24h_treatment,NA,24h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,large
Donax,serra,29,tmax,,,,lethal,temperature_at_50%_damage_after_48h_treatment,NA,48h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,large
Donax,serra,29,tmax,,,,lethal,temperature_at_50%_damage_after_72h_treatment,NA,72h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,large
Donax,serra,27,tmax,,,,lethal,temperature_at_50%_damage_after_96h_treatment,NA,96h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,large
Donax,sordidus,35,tmax,,,,lethal,temperature_at_50%_damage_after_12h_treatment,NA,12h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,
Donax,sordidus,33,tmax,,,,lethal,temperature_at_50%_damage_after_24h_treatment,NA,24h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,
Donax,sordidus,29.2,tmax,,,,lethal,temperature_at_50%_damage_after_48h_treatment,NA,48h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,
Donax,sordidus,28.6,tmax,,,,lethal,temperature_at_50%_damage_after_72h_treatment,NA,72h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,
Donax,sordidus,27.2,tmax,,,,lethal,temperature_at_50%_damage_after_96h_treatment,NA,96h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,
Bullia,rhodostoma,34,tmax,,,,lethal,temperature_at_50%_damage_after_12h_treatment,NA,12h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Gastropoda,Neogastropoda,Nassariidae,intertidal,marine,small
Bullia,rhodostoma,33,tmax,,,,lethal,temperature_at_50%_damage_after_24h_treatment,NA,24h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1981,adult,Mollusca,Gastropoda,Neogastropoda,Nassariidae,intertidal,marine,small
Bullia,rhodostoma,31.5,tmax,,,,lethal,temperature_at_50%_damage_after_48h_treatment,NA,48h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1982,adult,Mollusca,Gastropoda,Neogastropoda,Nassariidae,intertidal,marine,small
Bullia,rhodostoma,30.9,tmax,,,,lethal,temperature_at_50%_damage_after_72h_treatment,NA,72h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1983,adult,Mollusca,Gastropoda,Neogastropoda,Nassariidae,intertidal,marine,small
Bullia,rhodostoma,30.8,tmax,,,,lethal,temperature_at_50%_damage_after_96h_treatment,NA,96h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1984,adult,Mollusca,Gastropoda,Neogastropoda,Nassariidae,intertidal,marine,small
Bullia,rhodostoma,34.7,tmax,,,,lethal,temperature_at_50%_damage_after_12h_treatment,NA,12h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1985,adult,Mollusca,Gastropoda,Neogastropoda,Nassariidae,intertidal,marine,large
Bullia,rhodostoma,32,tmax,,,,lethal,temperature_at_50%_damage_after_24h_treatment,NA,24h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1986,adult,Mollusca,Gastropoda,Neogastropoda,Nassariidae,intertidal,marine,large
Bullia,rhodostoma,31,tmax,,,,lethal,temperature_at_50%_damage_after_48h_treatment,NA,48h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1987,adult,Mollusca,Gastropoda,Neogastropoda,Nassariidae,intertidal,marine,large
Bullia,rhodostoma,28.8,tmax,,,,lethal,temperature_at_50%_damage_after_72h_treatment,NA,72h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1988,adult,Mollusca,Gastropoda,Neogastropoda,Nassariidae,intertidal,marine,large
Bullia,rhodostoma,28.4,tmax,,,,lethal,temperature_at_50%_damage_after_96h_treatment,NA,96h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1989,adult,Mollusca,Gastropoda,Neogastropoda,Nassariidae,intertidal,marine,large
Palirhoeus,eatoni,39.2,tmax,0.2,SE,10-15,critical,onset_of_spasm,0.25,NA,NA,NA,FF,summer,-46.9,37.73,2,"Marion Island, South Africa",Klok_&_Chown_2003,adult,Arthropoda,Insecta,Coleoptera,Brachyceridae,,terrestrial,
Palirhoeus,eatoni,35.4,tmax,0.8,SE,10-15,critical,onset_of_spasm,0.25,NA,0,7d,NA,summer,-46.9,37.73,2,"Marion Island, South Africa",Klok_&_Chown_2003,adult,Arthropoda,Insecta,Coleoptera,Brachyceridae,,terrestrial,
Palirhoeus,eatoni,36.9,tmax,0.6,SE,10-15,critical,onset_of_spasm,0.25,NA,7.5,7d,NA,summer,-46.9,37.73,2,"Marion Island, South Africa",Klok_&_Chown_2003,adult,Arthropoda,Insecta,Coleoptera,Brachyceridae,,terrestrial,
Palirhoeus,eatoni,36.5,tmax,0.4,SE,10-15,critical,onset_of_spasm,0.25,NA,15,7d,NA,summer,-46.9,37.73,2,"Marion Island, South Africa",Klok_&_Chown_2003,adult,Arthropoda,Insecta,Coleoptera,Brachyceridae,,terrestrial,
Palirhoeus,eatoni,30.7,tmax,1,SE,10-15,critical,onset_of_spasm,0.25,NA,NA,NA,FF,summer,-53.09,73.5,5,"Heard Island, Antarcticta",Klok_&_Chown_2003,adult,Arthropoda,Insecta,Coleoptera,Brachyceridae,,terrestrial,
Palirhoeus,eatoni,35.6,tmax,1.2,SE,10-15,critical,onset_of_spasm,0.25,NA,0,7d,NA,summer,-53.09,73.5,5,"Heard Island, Antarcticta",Klok_&_Chown_2003,adult,Arthropoda,Insecta,Coleoptera,Brachyceridae,,terrestrial,
Palirhoeus,eatoni,33.5,tmax,0.9,SE,10-15,critical,onset_of_spasm,0.25,NA,7.5,7d,NA,summer,-53.09,73.5,5,"Heard Island, Antarcticta",Klok_&_Chown_2003,adult,Arthropoda,Insecta,Coleoptera,Brachyceridae,,terrestrial,
Palirhoeus,eatoni,-1.8,tmin,0.1,SE,10-15,critical,righting_ability,0.25,NA,NA,NA,FF,summer,-46.9,37.73,5,"Marion Island, South Africa",Klok_&_Chown_2003,adult,Arthropoda,Insecta,Coleoptera,Brachyceridae,,terrestrial,
Palirhoeus,eatoni,-3.6,tmin,0.1,SE,10-15,critical,righting_ability,0.25,NA,0,7d,NA,summer,-46.9,37.73,5,"Marion Island, South Africa",Klok_&_Chown_2003,adult,Arthropoda,Insecta,Coleoptera,Brachyceridae,,terrestrial,
Palirhoeus,eatoni,-3.1,tmin,0.1,SE,10-15,critical,righting_ability,0.25,NA,7.5,7d,NA,summer,-46.9,37.73,5,"Marion Island, South Africa",Klok_&_Chown_2003,adult,Arthropoda,Insecta,Coleoptera,Brachyceridae,,terrestrial,
Palirhoeus,eatoni,-2.1,tmin,0.2,SE,10-15,critical,righting_ability,0.25,NA,15,7d,NA,summer,-46.9,37.73,5,"Marion Island, South Africa",Klok_&_Chown_2003,adult,Arthropoda,Insecta,Coleoptera,Brachyceridae,,terrestrial,
Cophosaurus,texanus,44.4,tmax,1.5,SE,8,critical,onset_of_rigor,1.5,NA,NA,NA,FF,summer,29.41,-103.2,1036,"Grapevine Hills, Big Bend National Park, Texas",Bashey_&_Dunham_1997,adult,Chordata,Lepidosauria,Squamata,Iguanidae,desert,terrestrial,"Average values are for pooled data since results did not differ significantly between locations, Ramping was 1-2°C/min"
Cophosaurus,texanus,44.4,tmax,1.5,SE,4,critical,onset_of_rigor,1.5,NA,NA,NA,FF,summer,29.22,-102.88,560,"Boquillas Canyon, Big Bend National Park, Texas",Bashey_&_Dunham_1997,adult,Chordata,Lepidosauria,Squamata,Iguanidae,desert,terrestrial,"Average values are for pooled data since results did not differ significantly between locations, Ramping was 1-2°C/min"
Cophosaurus,texanus,15.4,tmin,1.9,SE,8,critical,onset_of_rigor,1.5,NA,NA,NA,FF,summer,29.41,-103.2,1036,"Grapevine Hills, Big Bend National Park, Texas",Bashey_&_Dunham_1997,adult,Chordata,Lepidosauria,Squamata,Iguanidae,desert,terrestrial,"Average values are for pooled data since results did not differ significantly between locations, Ramping was 1-2°C/min"
Cophosaurus,texanus,15.4,tmin,1.9,SE,4,critical,onset_of_rigor,1.5,NA,NA,NA,FF,summer,29.22,-102.88,560,"Boquillas Canyon, Big Bend National Park, Texas",Bashey_&_Dunham_1997,adult,Chordata,Lepidosauria,Squamata,Iguanidae,desert,terrestrial,"Average values are for pooled data since results did not differ significantly between locations, Ramping was 1-2°C/min"
Ctenomys,talarum,25,tmin,,,3,LTNZ,Temperatures_above_UTNZ_results_in_higher_metabolic_rates,NA,NA,20.5,1w,NA,NA,-37.8,-57.5,,"Mar de Cobo, Argentina",Busch_1989,adult,Chordata,Mammalia,Rodentia,Ctenomyidae,,terrestrial,
Ctenomys,talarum,35,tmax,,,3,UTNZ,Temperatures_below_LTNZ_results_in_higher_metabolic_rates,NA,NA,20.5,1w,NA,NA,-37.8,-57.5,,"Mar de Cobo, Argentina",Busch_1989,adult,Chordata,Mammalia,Rodentia,Ctenomyidae,,terrestrial,
Rattus,fuscipes,28.1,tmin,,,<20,LTNZ,,NA,NA,25,4w,NA,NA,-34.84,116.33,,"Waychinicup River, Western Australia",Collins_1973,adult,Chordata,Mammalia,Rodentia,Muridae,,terrestrial,
Rattus,fuscipes,28.6,tmin,,,<20,LTNZ,,NA,NA,25,4w,NA,NA,-30.26,115.04,,"Jurian Bay, Western Australia",Collins_1973,adult,Chordata,Mammalia,Rodentia,Muridae,,terrestrial,
Rattus,fuscipes,32.9,tmax,,,<20,UTNZ,,NA,NA,25,4w,NA,NA,-34.84,116.33,,"Waychinicup River, Western Australia",Collins_1973,adult,Chordata,Mammalia,Rodentia,Muridae,,terrestrial,
Rattus,fuscipes,32.8,tmax,,,<20,UTNZ,,NA,NA,25,4w,NA,NA,-30.26,115.04,,"Jurian Bay, Western Australia",Collins_1973,adult,Chordata,Mammalia,Rodentia,Muridae,,terrestrial,
Dumontia,contorta,26,tmax,,,100,lethal,temperature_at_100%_damage_after_5w_treatment,NA,5w,NA,NA,12,NA,44.9,-66.3,,"Bay of Fundy, Nova Scotia",Rietema_&_van_den_Hoek_1981,microthalli/macrothalli,Phaeophyceae,Phaeophyceae,Ectocarpales,Chordariaceae,,marine,"Species name was not Dumontia contarta in original list, it was Punctaria latifolia"
Dumontia,contorta,26,tmax,,,100,lethal,temperature_at_100%_damage_after_5w_treatment,NA,5w,NA,NA,12,NA,45.25,-60.98,,"Ketch Harbor, Nova Scotia",Rietema_&_van_den_Hoek_1982,microthalli/macrothalli,Phaeophyceae,Phaeophyceae,Ectocarpales,Chordariaceae,,marine,
Dumontia,contorta,26,tmax,,,100,lethal,temperature_at_100%_damage_after_5w_treatment,NA,5w,NA,NA,12,NA,44.65,-63.57,,"Halifax Harbor, Nova Scotia",Rietema_&_van_den_Hoek_1983,microthalli/macrothalli,Phaeophyceae,Phaeophyceae,Ectocarpales,Chordariaceae,,marine,
Dumontia,contorta,0,tmin,,,100,critical,survival_of_microthalli_and_macrothalli,NA,,NA,NA,12,NA,44.9,-66.3,,"Bay of Fundy, Nova Scotia",Rietema_&_van_den_Hoek_1984,microthalli/macrothalli,Phaeophyceae,Phaeophyceae,Ectocarpales,Chordariaceae,,marine,
Dumontia,contorta,0,tmin,,,100,critical,survival_of_microthalli_and_macrothalli,NA,,NA,NA,12,NA,45.25,-60.98,,"Ketch Harbor, Nova Scotia",Rietema_&_van_den_Hoek_1985,microthalli/macrothalli,Phaeophyceae,Phaeophyceae,Ectocarpales,Chordariaceae,,marine,
Dumontia,contorta,0,tmin,,,100,critical,survival_of_microthalli_and_macrothalli,NA,,NA,NA,12,NA,44.65,-63.57,,"Halifax Harbor, Nova Scotia",Rietema_&_van_den_Hoek_1986,microthalli/macrothalli,Phaeophyceae,Phaeophyceae,Ectocarpales,Chordariaceae,,marine,
Dumontia,contorta,26,tmax,,,100,lethal,temperature_at_100%_damage_after_5w_treatment,NA,5w,NA,NA,12,NA,64,,,Southern Iceland,Rietema_&_van_den_Hoek_1986,microthalli/macrothalli,Phaeophyceae,Phaeophyceae,Ectocarpales,Chordariaceae,,marine,
Dumontia,contorta,0,tmin,,,100,critical,survival_of_microthalli_and_macrothalli,NA,,NA,NA,12,NA,64,,,Southern Iceland,Rietema_&_van_den_Hoek_1986,microthalli/macrothalli,Phaeophyceae,Phaeophyceae,Ectocarpales,Chordariaceae,,marine,
Rana,pipiens,31.4,tmax,,,100,critical,righting_ability,1,NA,5,2.5w,NA,summer,45,,304.8,Wisconsin,Brattstrom_1968,adult,Chordata,Amphibia,Anura,Ranidae,,terrestrial,
Rana,pipiens,34.7,tmax,,,100,critical,righting_ability,1,NA,23,2.5w,NA,summer,45,,304.8,Wisconsin,Brattstrom_1968,adult,Chordata,Amphibia,Anura,Ranidae,,terrestrial,
Rana,pipiens,35.4,tmax,,,100,critical,righting_ability,1,NA,30,2.5w,NA,summer,45,,304.8,Wisconsin,Brattstrom_1968,adult,Chordata,Amphibia,Anura,Ranidae,,terrestrial,
Rana,pipiens,30.8,tmax,,,10-100,critical,righting_ability,1,NA,5,2.5w,NA,summer,17,,2255.52,"Mexico, Chiapas, W. Casas",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Ranidae,,terrestrial,
Rana,pipiens,35.2,tmax,,,10-100,critical,righting_ability,1,NA,26,2.5w,NA,summer,17,,2255.52,"Mexico, Chiapas, W. Casas",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Ranidae,,terrestrial,
Rana,pipiens,30,tmax,,,10-100,critical,righting_ability,1,NA,5,2.5w,NA,summer,17,,2011.68,"Mexico, Chiapas, E.Casas",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Ranidae,,terrestrial,
Rana,pipiens,37,tmax,,,10-100,critical,righting_ability,1,NA,26,2.5w,NA,summer,17,,2011.68,"Mexico, Chiapas, E.Casas",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Ranidae,,terrestrial,
Rana,pipiens,31,tmax,,,10-100,critical,righting_ability,1,NA,5,2.5w,NA,summer,10,,1554.48,"Costa Rica, Vol. Turrialba",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Ranidae,,terrestrial,
Rana,pipiens,35.7,tmax,,,10-100,critical,righting_ability,1,NA,26,2.5w,NA,summer,10,,1554.48,"Costa Rica, Vol. Turrialba",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Ranidae,,terrestrial,
Rana,pipiens,-1.6,tmin,,,10-100,lethal,temperature_at_50%_damage_after_24h_treatment,NA,24h,23,7d,NA,summer,17,,2255.52,"Mexico, Chiapas, W. Casas",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Ranidae,,terrestrial,
Rana,pipiens,-1.6,tmin,,,10-100,lethal,temperature_at_50%_damage_after_24h_treatment,NA,24h,23,7d,NA,summer,17,,2011.68,"Mexico, Chiapas, E.Casas",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Ranidae,,terrestrial,
Rana,pipiens,-1.6,tmin,,,10-100,lethal,temperature_at_50%_damage_after_24h_treatment,NA,24h,23,7d,NA,summer,10,,1554.48,"Costa Rica, Vol. Turrialba",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Ranidae,,terrestrial,
Spea,hammondii,35.6,tmax,,,10-100,critical,righting_ability,1,NA,5,2.5w,NA,summer,34,,304.8,"Californa, El Toro",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Pelobatidae,,terrestrial,
Spea,hammondii,40.3,tmax,,,10-100,critical,righting_ability,1,NA,30,2.5w,NA,summer,34,,304.8,"Californa, El Toro",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Pelobatidae,,terrestrial,
Spea,hammondii,0,tmin,,,10-100,lethal,temperature_at_50%_damage_after_24h_treatment,NA,24h,23,7d,NA,summer,34,,304.8,"Californa, El Toro",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Pelobatidae,,terrestrial,
Spea,hammondii,35.2,tmax,,,10-100,critical,righting_ability,1,NA,5,2.5w,NA,summer,31,,304.8,"Mexico, Sonora",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Pelobatidae,,terrestrial,
Spea,hammondii,40,tmax,,,10-100,critical,righting_ability,1,NA,23,2.5w,NA,summer,31,,304.8,"Mexico, Sonora",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Pelobatidae,,terrestrial,
Spea,hammondii,1.25,tmin,,,10-100,lethal,temperature_at_50%_damage_after_24h_treatment,NA,24h,23,7d,NA,summer,31,,304.8,"Mexico, Sonora",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Pelobatidae,,terrestrial,average value of Ctmin (between 0-2.5)
Bufo,boreas,35,tmax,,,10-100,critical,righting_ability,1,NA,5,2.5w,NA,summer,34,,304.8,"Californa, El Toro",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Bufonidae,,terrestrial,
Bufo,boreas,36,tmax,,,10-100,critical,righting_ability,1,NA,15,2.5w,NA,summer,34,,304.8,"Californa, El Toro",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Bufonidae,,terrestrial,
Bufo,boreas,37.8,tmax,,,10-100,critical,righting_ability,1,NA,30,2.5w,NA,summer,34,,304.8,"Californa, El Toro",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Bufonidae,,terrestrial,
Bufo,boreas,34.9,tmax,,,10-100,critical,righting_ability,1,NA,5,2.5w,NA,summer,34,,304.8,"California, Hermosa",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Bufonidae,,terrestrial,
Bufo,boreas,36,tmax,,,10-100,critical,righting_ability,1,NA,15,2.5w,NA,summer,34,,304.8,"California, Hermosa",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Bufonidae,,terrestrial,
Bufo,boreas,38.1,tmax,,,10-100,critical,righting_ability,1,NA,30,2.5w,NA,summer,34,,304.8,"California, Hermosa",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Bufonidae,,terrestrial,
Bufo,boreas,35.2,tmax,,,10-100,critical,righting_ability,1,NA,5,2.5w,NA,summer,34,,304.8,"California, Whittier",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Bufonidae,,terrestrial,
Bufo,boreas,34,tmax,,,10-100,critical,righting_ability,1,NA,5,2.5w,NA,summer,52,,304.8,"British Columbia, Clinton",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Bufonidae,,terrestrial,
Bufo,boreas,35.5,tmax,,,10-100,critical,righting_ability,1,NA,30,2.5w,NA,summer,52,,304.8,"British Columbia, Clinton",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Bufonidae,,terrestrial,
Bufo,boreas,34.1,tmax,,,10-100,critical,righting_ability,1,NA,5,2.5w,NA,summer,35,,304.8,"California, Dry Lake",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Bufonidae,,terrestrial,
Bufo,boreas,36.5,tmax,,,10-100,critical,righting_ability,1,NA,30,2.5w,NA,summer,35,,304.8,"California, Dry Lake",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Bufonidae,,terrestrial,
Crinia,parainsignifera,34,tmax,,,7,critical,righting_ability,1,NA,10,10d,NA,winter,-37,,304.8,"Victoria, Warrenbayne, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,parainsignifera,35.1,tmax,,,7,critical,onset_of_spasm,1,NA,10,10d,NA,winter,-37,,304.8,"Victoria, Warrenbayne, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,parainsignifera,30.5,tmax,,,2,critical,righting_ability,1,NA,5,10d,NA,spring,-32,,304.8,"NSW, Nyngan, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,parainsignifera,34.6,tmax,,,2,critical,onset_of_spasm,1,NA,5,10d,NA,spring,-32,,304.8,"NSW, Nyngan, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,32.3,tmax,,,9,critical,righting_ability,1,NA,5,10d,NA,spring,-31,,2500,"NSW, Armidale, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,33.1,tmax,,,9,critical,onset_of_spasm,1,NA,5,10d,NA,spring,-31,,2500,"NSW, Armidale, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,35.3,tmax,,,9,critical,righting_ability,1,NA,25,10d,NA,spring,-31,,2500,"NSW, Armidale, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,36.7,tmax,,,9,critical,onset_of_spasm,1,NA,25,10d,NA,spring,-31,,2500,"NSW, Armidale, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,30.5,tmax,,,3,critical,righting_ability,1,NA,5,10d,NA,spring,-34,,304.8,"NSW, Gosford, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,33.7,tmax,,,3,critical,onset_of_spasm,1,NA,5,10d,NA,spring,-34,,304.8,"NSW, Gosford, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,32.3,tmax,,,12,critical,righting_ability,1,NA,5,10d,NA,summer,-37,,1905,"NSW, Mount Kosciusko, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,33.8,tmax,,,12,critical,onset_of_spasm,1,NA,5,10d,NA,summer,-37,,1905,"NSW, Mount Kosciusko, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,34.9,tmax,,,12,critical,righting_ability,1,NA,25,10d,NA,summer,-37,,1905,"NSW, Mount Kosciusko, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,35.7,tmax,,,12,critical,onset_of_spasm,1,NA,25,10d,NA,summer,-37,,1905,"NSW, Mount Kosciusko, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,31.8,tmax,,,2,critical,righting_ability,1,NA,5,10d,NA,spring,-38,,304.8,"Victoria, Murrindal, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,35,tmax,,,2,critical,onset_of_spasm,1,NA,5,10d,NA,spring,-38,,304.8,"Victoria, Murrindal, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,32.8,tmax,,,13,critical,righting_ability,1,NA,5,10d,NA,winter,-38,,304.8,"Victoria, Buchan, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,34.5,tmax,,,13,critical,onset_of_spasm,1,NA,5,10d,NA,winter,-38,,304.8,"Victoria, Buchan, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,35,tmax,,,13,critical,righting_ability,1,NA,10,10d,NA,winter,-38,,304.8,"Victoria, Buchan, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,35.6,tmax,,,13,critical,onset_of_spasm,1,NA,10,10d,NA,winter,-38,,304.8,"Victoria, Buchan, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,35.5,tmax,,,13,critical,righting_ability,1,NA,20,10d,NA,winter,-38,,304.8,"Victoria, Buchan, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,33.2,tmax,,,13,critical,righting_ability,1,NA,10,10d,NA,winter,-38,,304.8,"Victoria, Knox, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,34.6,tmax,,,13,critical,onset_of_spasm,1,NA,10,10d,NA,winter,-38,,304.8,"Victoria, Knox, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,33.5,tmax,,,13,critical,righting_ability,1,NA,20,10d,NA,winter,-38,,304.8,"Victoria, Knox, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,34.7,tmax,,,13,critical,onset_of_spasm,1,NA,20,10d,NA,winter,-38,,304.8,"Victoria, Knox, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,31.6,tmax,,,39,critical,righting_ability,1,NA,5,10d,NA,spring,-38,,304.8,"Victoria, Grampians, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,33,tmax,,,39,critical,onset_of_spasm,1,NA,5,10d,NA,spring,-38,,304.8,"Victoria, Grampians, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,35.7,tmax,,,39,critical,righting_ability,1,NA,25,10d,NA,spring,-38,,304.8,"Victoria, Grampians, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,36.9,tmax,,,39,critical,onset_of_spasm,1,NA,25,10d,NA,spring,-38,,304.8,"Victoria, Grampians, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,30.8,tmax,,,15,critical,righting_ability,1,NA,5,10d,NA,spring,-43,,304.8,"Tasmania, Oatlands, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,34.2,tmax,,,15,critical,onset_of_spasm,1,NA,5,10d,NA,spring,-43,,304.8,"Tasmania, Oatlands, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,33.5,tmax,,,15,critical,righting_ability,1,NA,25,10d,NA,spring,-43,,304.8,"Tasmania, Oatlands, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,34.6,tmax,,,15,critical,onset_of_spasm,1,NA,25,10d,NA,spring,-43,,304.8,"Tasmania, Oatlands, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,victoriana,33,tmax,,,45,critical,righting_ability,1,NA,10,10d,NA,fall,-37,,304.8,"Victoria, Bendago, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,victoriana,34.4,tmax,,,45,critical,onset_of_spasm,1,NA,10,10d,NA,fall,-37,,304.8,"Victoria, Bendago, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,victoriana,35,tmax,,,45,critical,righting_ability,1,NA,25,10d,NA,fall,-37,,304.8,"Victoria, Bendago, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,victoriana,36.3,tmax,,,45,critical,onset_of_spasm,1,NA,25,10d,NA,fall,-37,,304.8,"Victoria, Bendago, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,victoriana,29.5,tmax,,,1,critical,righting_ability,1,NA,5,10d,NA,summer,-38,,304.8,"Victoria, Baw Baw, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,victoriana,31.7,tmax,,,1,critical,onset_of_spasm,1,NA,5,10d,NA,summer,-38,,304.8,"Victoria, Baw Baw, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Hyla,alpina,29.6,tmax,,,36,critical,righting_ability,1,NA,5,10d,NA,summer,-37,,1981.2,"NSW, Mount Kosciusko, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,alpina,31.1,tmax,,,36,critical,onset_of_spasm,1,NA,5,10d,NA,summer,-37,,1981.2,"NSW, Mount Kosciusko, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,alpina,32.9,tmax,,,36,critical,righting_ability,1,NA,25,10d,NA,summer,-37,,1981.2,"NSW, Mount Kosciusko, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,alpina,34.8,tmax,,,36,critical,onset_of_spasm,1,NA,25,10d,NA,summer,-37,,1981.2,"NSW, Mount Kosciusko, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,alpina,32.2,tmax,,,3,critical,righting_ability,1,NA,17,10d,NA,summer,-37,,1767.84,"NSW, Snowy Mts, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,alpina,33.7,tmax,,,3,critical,onset_of_spasm,1,NA,17,10d,NA,summer,-37,,1767.84,"NSW, Snowy Mts, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,alpina,29,tmax,,,4,critical,righting_ability,1,NA,5,10d,NA,summer,-38,,926.64,"Victoria, Baw Baw, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,alpina,31.2,tmax,,,4,critical,onset_of_spasm,1,NA,5,10d,NA,summer,-38,,926.64,"Victoria, Baw Baw, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,alpina,32.2,tmax,,,4,critical,righting_ability,1,NA,25,10d,NA,summer,-38,,926.64,"Victoria, Baw Baw, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,alpina,35.1,tmax,,,4,critical,onset_of_spasm,1,NA,25,10d,NA,summer,-38,,926.64,"Victoria, Baw Baw, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,aurea,33.6,tmax,,,5,critical,righting_ability,1,NA,10,10d,NA,summer,-34,,304.8,"NSW, Gosford, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,aurea,35.1,tmax,,,5,critical,onset_of_spasm,1,NA,10,10d,NA,summer,-34,,304.8,"NSW, Gosford, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,aurea,34.2,tmax,,,1,critical,righting_ability,1,NA,10,10d,NA,fall,-38,,304.8,"Victoria, Buchan, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,aurea,35,tmax,,,1,critical,onset_of_spasm,1,NA,10,10d,NA,fall,-38,,304.8,"Victoria, Buchan, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,aurea,30,tmax,,,1,critical,righting_ability,1,NA,10,10d,NA,winter,-37,,304.8,"Victoria, Warrenbayne, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,aurea,34.5,tmax,,,4,critical,righting_ability,1,NA,10,10d,NA,winter,-39,,304.8,"Victoria, Wilson's Prom, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,aurea,35.6,tmax,,,4,critical,onset_of_spasm,1,NA,10,10d,NA,winter,-39,,304.8,"Victoria, Wilson's Prom, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,aurea,36.2,tmax,,,4,critical,righting_ability,1,NA,30,10d,NA,winter,-39,,304.8,"Victoria, Wilson's Prom, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,aurea,37,tmax,,,4,critical,onset_of_spasm,1,NA,30,10d,NA,winter,-39,,304.8,"Victoria, Wilson's Prom, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,caerulea,39.3,tmax,,,7,critical,righting_ability,1,NA,30,10d,NA,winter,-20,,304.8,"Qld, Townsville, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,caerulea,40,tmax,,,7,critical,onset_of_spasm,1,NA,30,10d,NA,winter,-20,,304.8,"Qld, Townsville, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,caerulea,35.4,tmax,,,11,critical,righting_ability,1,NA,10,10d,NA,winter,-21,,304.8,"Qld,Bowen, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,caerulea,36.5,tmax,,,11,critical,onset_of_spasm,1,NA,10,10d,NA,winter,-21,,304.8,"Qld,Bowen, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,caerulea,39.2,tmax,,,11,critical,righting_ability,1,NA,30,10d,NA,winter,-21,,304.8,"Qld,Bowen, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,caerulea,39.9,tmax,,,11,critical,onset_of_spasm,1,NA,30,10d,NA,winter,-21,,304.8,"Qld,Bowen, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,caerulea,34.6,tmax,,,2,critical,righting_ability,1,NA,10,10d,NA,winter,-34,,304.8,"NSW, Gosford, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,chloris,37,tmax,,,29,critical,righting_ability,1,NA,10,10d,NA,winter,-18,,2400,"Qld, Atherton, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,chloris,38,tmax,,,29,critical,onset_of_spasm,1,NA,10,10d,NA,winter,-18,,2400,"Qld, Atherton, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,chloris,38.3,tmax,,,29,critical,righting_ability,1,NA,30,10d,NA,winter,-18,,2400,"Qld, Atherton, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,chloris,39.5,tmax,,,29,critical,onset_of_spasm,1,NA,30,10d,NA,winter,-18,,2400,"Qld, Atherton, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,chloris,38.9,tmax,,,2,critical,righting_ability,1,NA,30,10d,NA,winter,-17,,304.8,"Qld, Cairns, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,chloris,40,tmax,,,2,critical,onset_of_spasm,1,NA,30,10d,NA,winter,-17,,304.8,"Qld, Cairns, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,30.7,tmax,,,8,critical,righting_ability,1,NA,5,10d,NA,spring,-31,,1066.8,"NSW, Armidale, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,33.9,tmax,,,8,critical,onset_of_spasm,1,NA,5,10d,NA,spring,-31,,1066.8,"NSW, Armidale, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,32.8,tmax,,,8,critical,righting_ability,1,NA,25,10d,NA,spring,-31,,1066.8,"NSW, Armidale, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,34.3,tmax,,,8,critical,onset_of_spasm,1,NA,25,10d,NA,spring,-31,,1066.8,"NSW, Armidale, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,32.7,tmax,,,2,critical,righting_ability,1,NA,5,10d,NA,summer,-34,,304.8,"NSW, Gosford, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,36,tmax,,,2,critical,onset_of_spasm,1,NA,5,10d,NA,summer,-34,,304.8,"NSW, Gosford, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,33,tmax,,,6,critical,righting_ability,1,NA,10,10d,NA,winter,-37,,304.8,"Victoria, Warrenbayne, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,35.3,tmax,,,6,critical,onset_of_spasm,1,NA,10,10d,NA,winter,-37,,304.8,"Victoria, Warrenbayne, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,30.8,tmax,,,8,critical,righting_ability,1,NA,5,10d,NA,spring,-38,,304.8,"Victoria, Grampians, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,33.6,tmax,,,8,critical,onset_of_spasm,1,NA,5,10d,NA,spring,-38,,304.8,"Victoria, Grampians, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,32.6,tmax,,,8,critical,righting_ability,1,NA,25,10d,NA,spring,-38,,304.8,"Victoria, Grampians, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,35.5,tmax,,,8,critical,onset_of_spasm,1,NA,25,10d,NA,spring,-38,,304.8,"Victoria, Grampians, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,32,tmax,,,6,critical,righting_ability,1,NA,5,10d,NA,winter,-37,,304.8,"Victoria, Knox, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,33.8,tmax,,,6,critical,onset_of_spasm,1,NA,5,10d,NA,winter,-37,,304.8,"Victoria, Knox, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,31.9,tmax,,,6,critical,righting_ability,1,NA,10,10d,NA,spring,-37,,304.8,"Victoria, Knox, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,34.5,tmax,,,6,critical,onset_of_spasm,1,NA,10,10d,NA,spring,-37,,304.8,"Victoria, Knox, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,34,tmax,,,6,critical,righting_ability,1,NA,20,10d,NA,spring,-37,,304.8,"Victoria, Knox, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,36.1,tmax,,,6,critical,onset_of_spasm,1,NA,20,10d,NA,winter,-37,,304.8,"Victoria, Knox, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,

Code,Indicator Name,Long definition,Source
ST.INT.RCPT.CD,"International tourism, receipts (current US$)","International tourism receipts are expenditures by international inbound visitors, including payments to national carriers for international transport. These receipts include any other prepayment made for goods or services received in the destination country. They also may include receipts from same-day visitors, except when these are important enough to justify separate classification. For some countries they do not include receipts for passenger transport items. Data are in current U.S. dollars.","World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files."
SM.POP.NETM,Net migration,"Net migration is the net total of migrants during the period, that is, the total number of immigrants less the annual number of emigrants, including both citizens and noncitizens. Data are five-year estimates.",United Nations Population Division. World Population Prospects: 2017 Revision.
SP.POP.GROW,Population growth (annual %),"Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.","Derived from total population. Population source: (1) United Nations Population Division. World Population Prospects: 2017 Revision, (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme."
EN.POP.DNST,Population density (people per sq. km of land area),"Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.",Food and Agriculture Organization and World Bank population estimates.


data_type,parameter_id,source_address,start_byte,start_bit,bit_length,endianness,error_value,resolution,offset,min,max,units,type,label
0,65248,0,4,0,32,0,4294967295,0.077671375,0,,,miles,Odometer,Odometer (Engine)
0,65248,23,4,0,32,0,4294967295,0.077671375,0,,,miles,Odometer,Odometer (Instrument Cluster)
0,65217,0,0,0,32,0,4294967295,0.003106855,0,,,miles,Odometer,Odometer - High Res (Instrument Cluster)
0,65217,23,0,0,32,0,4294967295,0.003106855,0,,,miles,Odometer,Odometer - High Res (Engine)
0,65265,0,1,0,16,0,65535,0.002485484,0,0,150,mph,Speed,Speed (Engine)
0,65265,17,1,0,16,0,65535,0.002485484,0,0,150,mph,Speed,Speed (Cruise Control)
0,65265,23,1,0,16,0,65535,0.002485484,0,0,150,mph,Speed,Speed (Instrument Cluster)
0,65215,11,1,0,16,0,65535,0.002485484,0,0,150,mph,Speed,Speed (Brakes System Controller - Axle Based)
0,65257,0,4,0,32,0,4294967295,0.132086,0,,,gallons,Total Engine Fuel Used,Total Engine Fuel Used
0,65253,0,0,0,32,0,4294967295,0.05,0,,,hrs,Total Engine Hours,Total Engine Hours
0,65262,0,0,0,8,1,255,1.8,-40,-40,300,F,Coolant Temperature,Coolant Temperature
0,65262,0,2,0,16,0,65535,0.05625,-459.4,-100,300,F,Oil Temperature,Oil Temperature
0,65263,0,3,0,8,1,255,0.580152,0,0,140,psi,Oil Pressure,Oil Pressure
0,65263,0,7,0,8,1,255,0.4,0,0,100,%,Coolant Level,Coolant Level
0,65276,0,1,0,8,1,255,0.4,0,0,100,%,Fuel Level %,Fuel Level %
0,65276,33,1,0,8,1,255,0.4,0,0,100,%,Fuel Level %,Fuel Level % (Body Controller)
0,61444,0,3,0,16,0,65535,0.125,0,0,8000,rpm,Engine RPM,Engine RPM
0,65110,0,0,0,8,1,255,0.4,0,0,100,%,Diesel Level,Diesel Level
1,245,128,0,0,32,1,4294967295,0.100040731,0,,,miles,Odometer,Odometer (Engine - j1708)
1,245,140,0,0,32,1,4294967295,0.100040731,0,,,miles,Odometer,Odometer (Instrument Cluster - j1708)
1,245,142,0,0,32,1,4294967295,0.100040731,0,,,miles,Odometer,Odometer (Vehicle Management System - j1708)
1,84,128,0,0,8,0,255,0.500203655,0,0,127,mph,Speed,Speed (Engine - j1708)
1,84,136,0,0,8,0,255,0.500203655,0,0,127,mph,Speed,Speed (Brakes Power Unit - j1708)
1,84,142,0,0,8,0,255,0.500203655,0,0,127,mph,Speed,Speed (Vehicle Management System - j1708)
1,84,144,0,0,8,0,255,0.500203655,0,0,127,mph,Speed,Speed (Cruise Control - j1708)
1,250,128,0,0,32,0,4294967295,0.124953356,0,,,gallons,Total Fuel Used,Total Fuel Used (j1708)
1,247,128,0,0,32,0,4294967295,0.05,0,,,hrs,Total Engine Hours,Total Engine Hours (j1708)
1,110,128,0,0,8,0,255,1,0,0,254,F,Coolant Temperature,Coolant Temperature (j1708)
1,175,128,0,0,16,0,65535,0.25,-8192,-100,300,F,Oil Temperature,Oil Temperature (j1708)
1,100,128,0,0,8,0,255,0.5003811,0,0,127,psi,Oil Pressure,Oil Pressure (j1708)
1,111,128,0,0,8,0,255,0.5,0,0,100,%,Coolant Level,Coolant Level (j1708)
1,96,128,0,0,8,0,255,0.5,0,0,100,%,Fuel Level %,Fuel Level % (j1708)
1,190,128,0,0,16,0,65535,0.25,0,0,8000,rpm,Engine RPM,Engine RPM (j1708)
1,237,128,0,0,136,1,0,1,0,,,string,VIN,VIN (j1708)
2,1,0,0,0,32,1,4294967295,0.0223694,0,0,150,mph,Speed,Speed (Engine)
2,1,0,4,0,32,1,0,1,0,,,miles,Trip Odometer,Calculated Trip Odometer
2,1,0,8,0,32,1,4294967295,0.1,0,0,8000,rpm,Engine RPM,Engine RPM
2,1,0,12,0,32,1,0,0.01,0,0,100,%,Fuel Level %,Fuel Level %
2,1,0,16,0,32,1,4294967295,0.000264172,0,,,gallons,Trip Fuel Consumption,Trip Fuel Consumption
2,1,0,20,0,32,1,0,0.1125,32,32,300,F,Coolant Temperature,Coolant Temperature
2,1,0,24,0,32,1,0,0.000264172,0,0,100,gallons,Fuel Level,Fuel Level
2,1,0,28,0,32,1,0,0.000621371,0,,,miles,Odometer,Odometer (Engine)
2,1,0,32,0,32,1,0,0.05,0,,,hrs,Total Engine Hours,Total Engine Hours
2,1,0,36,0,32,1,4294967295,0.000264172,0,0,20,gallons/h,Fuel Rate,Fuel Rate


encounter_category,encounter_type,svc_category,svc_desc,rate_per_encounter
Preventive,Well-Child Visits-Infant,Patient History,Patient History,1
Preventive,Well-Child Visits-Infant,Behavioral Health Screenings,Child Developmental Screening,0.17
Preventive,Well-Child Visits-Infant,Behavioral Health Screenings,Child Developmental Surveillance,1
Preventive,Well-Child Visits-Infant,Behavioral Health Screenings,Psychosocial/Behavioral Surveillance,0.5
Preventive,Well-Child Visits-Infant,Behavioral Health Screenings,Maternal Depression Screening,1
Preventive,Well-Child Visits-Infant,Measurements,length/height & weight,1
Preventive,Well-Child Visits-Infant,Measurements,head circumference,1
Preventive,Well-Child Visits-Infant,Measurements,BP,1
Preventive,Well-Child Visits-Infant,Physical Exam,Physical Exam,1
Preventive,Well-Child Visits-Infant,Sensory Screening,Vision Screening,1
Preventive,Well-Child Visits-Infant,Sensory Screening,Hearing Screening,0.5
Preventive,Well-Child Visits-Infant,Immunization,Hep B,0.5
Preventive,Well-Child Visits-Infant,Immunization,Rotavirus,0.5
Preventive,Well-Child Visits-Infant,Immunization,DTap,0.5
Preventive,Well-Child Visits-Infant,Immunization,Hib,0.5
Preventive,Well-Child Visits-Infant,Immunization,PCV12,0.5
Preventive,Well-Child Visits-Infant,Immunization,IPV,0.5
Preventive,Well-Child Visits-Infant,Immunization,flu,1
Preventive,Well-Child Visits-Infant,Lab,Newborn Blood,0.33
Preventive,Well-Child Visits-Infant,Lab,Newborn Bilirubin,0.17
Preventive,Well-Child Visits-Infant,Lab,Anemia Screening,0.17
Preventive,Well-Child Visits-Infant,Lab,Lead Screening,0.33
Preventive,Well-Child Visits-Infant,Oral Health,Identify Dental Home,0.33
Preventive,Well-Child Visits-Infant,Oral Health,Fluoride Supplementation,0.33
Preventive,Well-Child Visits-Infant,Counseling,Anticipatory Guidance,1
Preventive,Well Child Visits-Early Childhood,Patient History,Patient History,1
Preventive,Well Child Visits-Early Childhood,Behavioral Health Screenings,Child Developmental Screening,0.29
Preventive,Well Child Visits-Early Childhood,Behavioral Health Screenings,Autism Spectrum Disorder Screening,0.29
Preventive,Well Child Visits-Early Childhood,Behavioral Health Screenings,Child Developmental Surveillance,0.71
Preventive,Well Child Visits-Early Childhood,Behavioral Health Screenings,Psychosocial/Behavioral Surveillance,1
Preventive,Well Child Visits-Early Childhood,Measurements,head circumference,0.57
Preventive,Well Child Visits-Early Childhood,Measurements,length/height & weight,1
Preventive,Well Child Visits-Early Childhood,Measurements,BP,1
Preventive,Well Child Visits-Early Childhood,Physical Exam,Physical Exam,1
Preventive,Well Child Visits-Early Childhood,Sensory Screening,Vision Screening,1
Preventive,Well Child Visits-Early Childhood,Sensory Screening,Hearing Screening,1
Preventive,Well Child Visits-Early Childhood,Immunization,Hep B,0
Preventive,Well Child Visits-Early Childhood,Immunization,Dtap,0.14
Preventive,Well Child Visits-Early Childhood,Immunization,Hib,0.14
Preventive,Well Child Visits-Early Childhood,Immunization,PCV13,0.14
Preventive,Well Child Visits-Early Childhood,Immunization,IPV,0
Preventive,Well Child Visits-Early Childhood,Immunization,Influenza,0.57
Preventive,Well Child Visits-Early Childhood,Immunization,MMR,0.14
Preventive,Well Child Visits-Early Childhood,Immunization,VAR,0.14
Preventive,Well Child Visits-Early Childhood,Immunization,Hep A,0.29
Preventive,Well Child Visits-Early Childhood,Lab,Anemia Screening,1
Preventive,Well Child Visits-Early Childhood,Lab,Lead Screening,0.5
Preventive,Well Child Visits-Early Childhood,Lab,Dyslipidemia Screening,0.29
Preventive,Well Child Visits-Early Childhood,Oral Health,Identify Dental Home,0.86
Preventive,Well Child Visits-Early Childhood,Oral Health,Fluoride Varnish,0.86
Preventive,Well Child Visits-Early Childhood,Oral Health,Fluoride Supplementation,0.86
Preventive,Well Child Visits-Early Childhood,Counseling,Anticipatory Guidance,1
Preventive,Well Child Visits-Mid Childhood,Patient History,Patient History,1
Preventive,Well Child Visits-Mid Childhood,Behavioral Health Screenings,Child Developmental Screening,0
Preventive,Well Child Visits-Mid Childhood,Behavioral Health Screenings,Child Developmental Surveillance,1
Preventive,Well Child Visits-Mid Childhood,Behavioral Health Screenings,Psychosocial/Behavioral Surveillance,1
Preventive,Well Child Visits-Mid Childhood,Measurements,BMI,1
Preventive,Well Child Visits-Mid Childhood,Measurements,BP,1
Preventive,Well Child Visits-Mid Childhood,Physical Exam,Physical Exam,1
Preventive,Well Child Visits-Mid Childhood,Sensory Screening,Vision Screening,1
Preventive,Well Child Visits-Mid Childhood,Sensory Screening,Hearing Screening,1
Preventive,Well Child Visits-Mid Childhood,Physical Screening,Obesity Screening,1
Preventive,Well Child Visits-Mid Childhood,Immunization,DTaP,0.17
Preventive,Well Child Visits-Mid Childhood,Immunization,Polio,0.17
Preventive,Well Child Visits-Mid Childhood,Immunization,Hib,0
Preventive,Well Child Visits-Mid Childhood,Immunization,MMR,0.17
Preventive,Well Child Visits-Mid Childhood,Immunization,VAR,0.14
Preventive,Well Child Visits-Mid Childhood,Immunization,Flu,1
Preventive,Well Child Visits-Mid Childhood,Lab,Anemia Screening,1
Preventive,Well Child Visits-Mid Childhood,Lab,Lead Screening,0.33
Preventive,Well Child Visits-Mid Childhood,Lab,Dyslipidemia Screening,0.5
Preventive,Well Child Visits-Mid Childhood,Lab,TB* Screening,1
Preventive,Well Child Visits-Mid Childhood,Oral Health,Identify Dental Home,1
Preventive,Well Child Visits-Mid Childhood,Oral Health,Fluoride Supplementation,1
Preventive,Well Child Visits-Mid Childhood,Counseling,Anticipatory Guidance,1
Preventive,Well-Child Visits-Adolescence,Counseling,Anticipatory Guidance,1
Preventive,Well-Child Visits-Adolescence,Patient History,Patient History,1
Preventive,Well-Child Visits-Adolescence,Behavioral Health Screenings,Child Developmental Screening,0
Preventive,Well-Child Visits-Adolescence,Behavioral Health Screenings,Child Developmental Surveillance,1
Preventive,Well-Child Visits-Adolescence,Behavioral Health Screenings,Psychosocial/Behavioral Surveillance,1
Preventive,Well-Child Visits-Adolescence,Behavioral Health Screenings,Tobacco/Alcohol/Drug Use,1
Preventive,Well-Child Visits-Adolescence,Behavioral Health Screenings,Depression Screening,1
Preventive,Well-Child Visits-Adolescence,Measurements,BMI,1
Preventive,Well-Child Visits-Adolescence,Measurements,BP,1
Preventive,Well-Child Visits-Adolescence,Physical Exam,Physical Exam,1
Preventive,Well-Child Visits-Adolescence,Sensory Screening,Vision Screening,1
Preventive,Well-Child Visits-Adolescence,Sensory Screening,Hearing Screening,1
Preventive,Well-Child Visits-Adolescence,Physical Screening,Obesity Screening,1
Preventive,Well-Child Visits-Adolescence,Lab,HIV Screening,1
Preventive,Additional Screening: STI,Lab,Gonorrhea Screening,1
Preventive,Additional Screening: STI,Lab,Chlamydia Screening,1
Preventive,Well-Child Visits-Adolescence,Immunization,Flu,1
Preventive,Well-Child Visits-Adolescence,Immunization,Meningococcal,0
Preventive,Well-Child Visits-Adolescence,Immunization,Tdap,0
Preventive,Well-Child Visits-Adolescence,Immunization,HPV,0
Preventive,Well-Child Visits-Adolescence,Lab,Anemia Screening,1
Preventive,Well-Child Visits-Adolescence,Lab,Dyslipidemia Screening,1
Preventive,Well-Child Visits-Adolescence,Lab,TB* Screening,1
Preventive,Well-Child Visits-Adolescence,Lab,STI Screening,1
Preventive,Well-Child Visits-Adolescence,Oral Health,Fluoride Supplementation,0.5
Preventive,Adult Wellness Visits-Under 65,Patient History,Patient History,1
Preventive,Adult Wellness Visits-Under 65,Behavioral Health Screenings,Alcohol Misuse Screening,1
Preventive,Adult Wellness Visits-Under 65,Behavioral Health Screenings,Depression Screening,1
Preventive,Addl Screening: Int Part Violence,Behavioral Health Screenings,Intimate partner violence screening,1
Preventive,Adult Wellness Visits-Under 65,Measurements,BMI,1
Preventive,Adult Wellness Visits-Under 65,Measurements,BP,1
Preventive,Adult Wellness Visits-Under 65,Physical Exam,Physical Exam,1
Preventive,Adult Wellness Visits-Under 65,Sensory Screening,Vision Screening,1
Preventive,Adult Wellness Visits-Under 65,Sensory Screening,Hearing Screening,1
Preventive,Adult Wellness Visits-Under 65,Physical Screening,Obesity Screening,1
Preventive,Addl Screening: Cerv Cancer,Lab,Cervical Cancer Screening,1
Preventive,Addl Screening: Breast Cancer,Physical Screening,Breast Cancer Screening,1
Preventive,Addl Screening: Osteoporosis,Physical Screening,Osteoporosis Screening,1
Preventive,Adult Wellness Visits-Under 65,Immunization,Influenza,1
Preventive,Adult Wellness Visits-Under 65,Immunization,MMR,1
Preventive,Adult Wellness Visits-Under 65,Immunization,HZV,0.02
Preventive,Adult Wellness Visits-Over 65,Immunization,HZV,0.04
Preventive,Adult Wellness Visits-Under 65,Lab,Lab,1
Preventive,Adult Wellness Visits-Under 65,Lab,HIV Screening,0.02
Preventive,Adult Wellness Visits-Under 65,Lab,Hepititis C Screening,0.08
Preventive,Adult Wellness Visits-Under 65,Oral Health,Identify Dental Home,1
Preventive,Adult Wellness Visits-Under 65,Counseling,Alcohol Misuse Counseling,1
Preventive,Adult Wellness Visits-Under 65,Counseling,Tobacco Use Prevention and Counseling ,1
Preventive,Adult Wellness Visits-Under 65,Counseling,Sexually Transmitted Infections Counseling,1
Preventive,Adult Wellness Visits-Under 65,Counseling,Skin Cancer Behavioral Counseling,1
Preventive,Adult Wellness Visits-Under 65,Counseling,Visit wrap-up/care planning,1
Preventive,Adult Wellness Visits-Over 65,Patient History,Patient History,1
Preventive,Adult Wellness Visits-Over 65,Counseling,Alcohol Misuse Counseling,1
Preventive,Adult Wellness Visits-Over 65,Behavioral Health Screenings,Alcohol Misuse Screening,1
Preventive,Adult Wellness Visits-Over 65,Behavioral Health Screenings,Depression Screening,1
Preventive,Adult Wellness Visits-Over 65,Measurements,BMI,1
Preventive,Adult Wellness Visits-Over 65,Measurements,BP,1
Preventive,Adult Wellness Visits-Over 65,Physical Exam,Physical Exam,1
Preventive,Adult Wellness Visits-Over 65,Sensory Screening,Vision Screening,1
Preventive,Adult Wellness Visits-Over 65,Sensory Screening,Hearing Screening,1
Preventive,Adult Wellness Visits-Over 65,Physical Screening,Obesity Screening,1
Preventive,Adult Wellness Visits-Over 65,Immunization,Influenza,1
Preventive,Adult Wellness Visits-Under 65,Immunization,Td/Tdap,0.02
Preventive,Adult Wellness Visits-Over 65,Immunization,Td/Tdap,0.04
Preventive,Adult Wellness Visits-Over 65,Immunization,VAR,0.05
Preventive,Adult Wellness Visits-Over 65,Oral Health,Identify Dental Home,1
Preventive,Adult Wellness Visits-Over 65,Counseling,Advanced Care Planning,1
Preventive,Adult Wellness Visits-Over 65,Counseling,Visit wrap-up/care planning,1
Chronic,Chronic Care Needs: Obesity,Physical Screening,Abdominal aortic aneurysm screening,1
Chronic,Chronic Care Needs: Smoker,Physical Screening,Lung Cancer Screening,1
Chronic,Chronic Care Needs: Smoker,Counseling,Tobacco Use Counseling,1
Chronic,Chronic Care Needs: Obesity,Counseling,Obesity Counseling,1
Chronic,Chronic Care Needs: Obesity,Physical Screening,Diabetes Screening,1
Chronic,Chronic Care Needs: Obesity,Counseling,Diet/Physical Activity Counseling,1
Preventive,Addl Screen and Counsel: BRCA,Counseling,BRCA risk assessment and genetic counseling,1
Preventive,Addl Counsel: Breast Cancer Prev Rx,Counseling,Breast Cancer Preventive Medications,1
Preventive,Addl Counsel: Folic Acid Supp,Counseling,Folic Acid Supplementation,1
Preventive,Addl Screening: Colon Cancer,Physical Screening,Colorectal Cancer Screening,1
Acute,Acute Level 1 visit,Measurements,BP,1
Acute,Acute Level 1 visit,Measurements,Weight,1
Acute,Acute Level 1 visit,Measurements,Temp,1
Acute,Acute Level 1 visit,Patient History,Data Collection,1
Acute,Acute Level 1 visit,Physical Exam,Problem Oriented Physical,1
Acute,Acute Level 1 visit,Lab,Orders,1
Acute,Acute Level 1 visit,Lab,Results Consultation,1
Acute,Acute Level 1 visit,Pharmacological Treatment/Mgmt,Orders/scripts,1
Acute,Acute Level 1 visit,Counseling,Visit wrap-up/care planning,1
Acute,Acute Level 2 visit,Measurements,BP,1
Acute,Acute Level 2 visit,Measurements,Weight,1
Acute,Acute Level 2 visit,Measurements,Temp,1
Acute,Acute Level 2 visit,Patient History,Data Collection,1
Acute,Acute Level 2 visit,Physical Exam,Problem Oriented Physical,1
Acute,Acute Level 2 visit,Lab,Orders,1
Acute,Acute Level 2 visit,Lab,Results Consultation,1
Acute,Acute Level 2 visit,Pharmacological Treatment/Mgmt,Orders/scripts,1
Acute,Acute Level 2 visit,Counseling,Visit wrap-up/care planning,1
Acute,Acute Level 3 visit,Measurements,BP,1
Acute,Acute Level 3 visit,Measurements,Weight,1
Acute,Acute Level 3 visit,Measurements,Temp,1
Acute,Acute Level 3 visit,Patient History,Data Collection,1
Acute,Acute Level 3 visit,Physical Exam,Problem Oriented Physical,1
Acute,Acute Level 3 visit,Lab,Orders,1
Acute,Acute Level 3 visit,Lab,Results Consultation,1
Acute,Acute Level 3 visit,Pharmacological Treatment/Mgmt,Orders/scripts,1
Acute,Acute Level 3 visit,Counseling,Visit wrap-up/care planning,1
Acute,Acute Level 4 visit,Measurements,BP,1
Acute,Acute Level 4 visit,Measurements,Weight,1
Acute,Acute Level 4 visit,Measurements,Temp,1
Acute,Acute Level 4 visit,Patient History,Data Collection,1
Acute,Acute Level 4 visit,Physical Exam,Problem Oriented Physical,1
Acute,Acute Level 4 visit,Lab,Orders,1
Acute,Acute Level 4 visit,Lab,Results Consultation,1
Acute,Acute Level 4 visit,Pharmacological Treatment/Mgmt,Orders/scripts,1
Acute,Acute Level 4 visit,Counseling,Visit wrap-up/care planning,1
Chronic,Chronic Maintenance Visit: Other,Counseling,Visit wrap-up/care planning,1
Chronic,Chronic Maintenance Visit: Other,Lab,Orders,1
Chronic,Chronic Maintenance Visit: Other,Lab,Results Consultation,1
Chronic,Chronic Maintenance Visit: Other,Measurements,BP,1
Chronic,Chronic Maintenance Visit: Other,Measurements,Temp,1
Chronic,Chronic Maintenance Visit: Other,Measurements,Weight,1
Chronic,Chronic Maintenance Visit: Other,Patient History,Data Collection,1
Chronic,Chronic Maintenance Visit: Other,Patient History,Interval history/Consultation,1
Chronic,Chronic Maintenance Visit: Other,Pharmacological Treatment/Mgmt,Condition Consultation,1
Chronic,Chronic Maintenance Visit: Other,Pharmacological Treatment/Mgmt,Orders/scripts,1
Chronic,Chronic Maintenance Visit: Other,Physical Exam,Problem Oriented Physical,1
Chronic,Chronic Maintenance Visit: Anxiety,Counseling,Visit wrap-up/care planning,1
Chronic,Chronic Maintenance Visit: Anxiety,Lab,Orders,1
Chronic,Chronic Maintenance Visit: Anxiety,Lab,Results Consultation,1
Chronic,Chronic Maintenance Visit: Anxiety,Measurements,BP,1
Chronic,Chronic Maintenance Visit: Anxiety,Measurements,Temp,1
Chronic,Chronic Maintenance Visit: Anxiety,Measurements,Weight,1
Chronic,Chronic Maintenance Visit: Anxiety,Patient History,Data Collection,1
Chronic,Chronic Maintenance Visit: Anxiety,Patient History,Interval history/Consultation,1
Chronic,Chronic Maintenance Visit: Anxiety,Pharmacological Treatment/Mgmt,Condition Consultation,1
Chronic,Chronic Maintenance Visit: Anxiety,Pharmacological Treatment/Mgmt,Orders/scripts,1
Chronic,Chronic Maintenance Visit: Anxiety,Physical Exam,Problem Oriented Physical,1
Chronic,Chronic Maintenance Visit: Anxiety,Counseling,CBT,1
Chronic,Chronic Maintenance Visit: Arthritis,Counseling,Visit wrap-up/care planning,1
Chronic,Chronic Maintenance Visit: Arthritis,Lab,Orders,1
Chronic,Chronic Maintenance Visit: Arthritis,Lab,Results Consultation,1
Chronic,Chronic Maintenance Visit: Arthritis,Measurements,BP,1
Chronic,Chronic Maintenance Visit: Arthritis,Measurements,Temp,1
Chronic,Chronic Maintenance Visit: Arthritis,Measurements,Weight,1
Chronic,Chronic Maintenance Visit: Arthritis,Patient History,Data Collection,1
Chronic,Chronic Maintenance Visit: Arthritis,Patient History,Interval history/Consultation,1
Chronic,Chronic Maintenance Visit: Arthritis,Pharmacological Treatment/Mgmt,Condition Consultation,1
Chronic,Chronic Maintenance Visit: Arthritis,Pharmacological Treatment/Mgmt,Orders/scripts,1
Chronic,Chronic Maintenance Visit: Arthritis,Physical Exam,Problem Oriented Physical,1
Chronic,Chronic Maintenance Visit: Arthritis,Education,Dietary/Physical Activity Guidance,1
Chronic,Chronic Maintenance Visit: Asthma,Lab,Orders,1
Chronic,Chronic Maintenance Visit: Asthma,Lab,Results Consultation,1
Chronic,Chronic Maintenance Visit: Asthma,Measurements,BP,1
Chronic,Chronic Maintenance Visit: Asthma,Measurements,Temp,1
Chronic,Chronic Maintenance Visit: Asthma,Measurements,Weight,1
Chronic,Chronic Maintenance Visit: Asthma,Patient History,Data Collection,1
Chronic,Chronic Maintenance Visit: Asthma,Patient History,Interval history/Consultation,1
Chronic,Chronic Maintenance Visit: Asthma,Pharmacological Treatment/Mgmt,Condition Consultation,1
Chronic,Chronic Maintenance Visit: Asthma,Pharmacological Treatment/Mgmt,Orders/scripts,1
Chronic,Chronic Maintenance Visit: Asthma,Physical Exam,Problem Oriented Physical,1
Chronic,Chronic Maintenance Visit: Asthma,Education,Asthma action plan,1
Chronic,Chronic Maintenance Visit: Asthma,Education,Inhaler use Guidance,1
Chronic,Chronic Maintenance Visit: CAD,Lab,Orders,1
Chronic,Chronic Maintenance Visit: CAD,Lab,Results Consultation,1
Chronic,Chronic Maintenance Visit: CAD,Measurements,BP,1
Chronic,Chronic Maintenance Visit: CAD,Measurements,Temp,1
Chronic,Chronic Maintenance Visit: CAD,Measurements,Weight,1
Chronic,Chronic Maintenance Visit: CAD,Patient History,Data Collection,1
Chronic,Chronic Maintenance Visit: CAD,Patient History,Interval history/Consultation,1
Chronic,Chronic Maintenance Visit: CAD,Pharmacological Treatment/Mgmt,Condition Consultation,1
Chronic,Chronic Maintenance Visit: CAD,Pharmacological Treatment/Mgmt,Orders/scripts,1
Chronic,Chronic Maintenance Visit: CAD,Physical Exam,Problem Oriented Physical,1
Chronic,Chronic Maintenance Visit: CAD,Education,Dietary/Physical Activity Guidance,1
Chronic,Chronic Maintenance Visit: COPD,Lab,Orders,1
Chronic,Chronic Maintenance Visit: COPD,Lab,Results Consultation,1
Chronic,Chronic Maintenance Visit: COPD,Measurements,BP,1
Chronic,Chronic Maintenance Visit: COPD,Measurements,Temp,1
Chronic,Chronic Maintenance Visit: COPD,Measurements,Weight,1
Chronic,Chronic Maintenance Visit: COPD,Patient History,Data Collection,1
Chronic,Chronic Maintenance Visit: COPD,Patient History,Interval history/Consultation,1
Chronic,Chronic Maintenance Visit: COPD,Pharmacological Treatment/Mgmt,Condition Consultation,1
Chronic,Chronic Maintenance Visit: COPD,Pharmacological Treatment/Mgmt,Orders/scripts,1
Chronic,Chronic Maintenance Visit: COPD,Physical Exam,Problem Oriented Physical,1
Chronic,Chronic Maintenance Visit: COPD,Education,Exercise & COPD Management,1
Chronic,Chronic Maintenance Visit: Diabetes,Lab,Orders,1
Chronic,Chronic Maintenance Visit: Diabetes,Lab,Results Consultation,1
Chronic,Chronic Maintenance Visit: Diabetes,Measurements,BP,1
Chronic,Chronic Maintenance Visit: Diabetes,Measurements,Temp,1
Chronic,Chronic Maintenance Visit: Diabetes,Measurements,Weight,1
Chronic,Chronic Maintenance Visit: Diabetes,Patient History,Data Collection,1
Chronic,Chronic Maintenance Visit: Diabetes,Patient History,Interval history/Consultation,1
Chronic,Chronic Maintenance Visit: Diabetes,Pharmacological Treatment/Mgmt,Condition Consultation,1
Chronic,Chronic Maintenance Visit: Diabetes,Pharmacological Treatment/Mgmt,Orders/scripts,1
Chronic,Chronic Maintenance Visit: Diabetes,Physical Exam,Problem Oriented Physical,1
Chronic,Chronic Maintenance Visit: Diabetes,Education,Control: Weight; Hypertension; Hyperlipidemia; Smoking,1
Chronic,Chronic Maintenance Visit: Diabetes,Education,Diabetes Self Management Education/Support,1
Chronic,Chronic Maintenance Visit: Diabetes,Education,Medical Nutrition Therapy (MNT),1
Chronic,Chronic Maintenance Visit: Diabetes,Lab,Results Consultation: CHD Risk Assessment; A1c; Microalbuminuria,1
Chronic,Chronic Maintenance Visit: Diabetes,Physical Exam,Foot Exam,1
Chronic,Chronic Maintenance Visit: Hyperlipidemia,Lab,Orders,1
Chronic,Chronic Maintenance Visit: Hyperlipidemia,Lab,Results Consultation,1
Chronic,Chronic Maintenance Visit: Hyperlipidemia,Measurements,BP,1
Chronic,Chronic Maintenance Visit: Hyperlipidemia,Measurements,Temp,1
Chronic,Chronic Maintenance Visit: Hyperlipidemia,Measurements,Weight,1
Chronic,Chronic Maintenance Visit: Hyperlipidemia,Patient History,Data Collection,1
Chronic,Chronic Maintenance Visit: Hyperlipidemia,Patient History,Interval history/Consultation,1
Chronic,Chronic Maintenance Visit: Hyperlipidemia,Pharmacological Treatment/Mgmt,Condition Consultation,1
Chronic,Chronic Maintenance Visit: Hyperlipidemia,Pharmacological Treatment/Mgmt,Orders/scripts,1
Chronic,Chronic Maintenance Visit: Hyperlipidemia,Physical Exam,Problem Oriented Physical,1
Chronic,Chronic Maintenance Visit: Hyperlipidemia,Education,Dietary/Physical Activity Guidance,1
Chronic,Chronic Maintenance Visit: Hypertension,Lab,Orders,1
Chronic,Chronic Maintenance Visit: Hypertension,Lab,Results Consultation,1
Chronic,Chronic Maintenance Visit: Hypertension,Measurements,BP,1
Chronic,Chronic Maintenance Visit: Hypertension,Measurements,Temp,1
Chronic,Chronic Maintenance Visit: Hypertension,Measurements,Weight,1
Chronic,Chronic Maintenance Visit: Hypertension,Patient History,Data Collection,1
Chronic,Chronic Maintenance Visit: Hypertension,Patient History,Interval history/Consultation,1
Chronic,Chronic Maintenance Visit: Hypertension,Pharmacological Treatment/Mgmt,Condition Consultation,1
Chronic,Chronic Maintenance Visit: Hypertension,Pharmacological Treatment/Mgmt,Orders/scripts,1
Chronic,Chronic Maintenance Visit: Hypertension,Physical Exam,Problem Oriented Physical,1
Chronic,Chronic Maintenance Visit: Hypertension,Education,Dietary/Physical Activity Guidance,1
Chronic,Chronic Maintenance Visit: Depression,Lab,Orders,1
Chronic,Chronic Maintenance Visit: Depression,Lab,Results Consultation,1
Chronic,Chronic Maintenance Visit: Depression,Measurements,BP,1
Chronic,Chronic Maintenance Visit: Depression,Measurements,Temp,1
Chronic,Chronic Maintenance Visit: Depression,Measurements,Weight,1
Chronic,Chronic Maintenance Visit: Depression,Patient History,Data Collection,1
Chronic,Chronic Maintenance Visit: Depression,Patient History,Interval history/Consultation,1
Chronic,Chronic Maintenance Visit: Depression,Pharmacological Treatment/Mgmt,Condition Consultation,1
Chronic,Chronic Maintenance Visit: Depression,Pharmacological Treatment/Mgmt,Orders/scripts,1
Chronic,Chronic Maintenance Visit: Depression,Physical Exam,Problem Oriented Physical,1
Chronic,Chronic Maintenance Visit: Depression,Counseling,Psychotherapy,1
Chronic,Chronic Maintenance Visit: Osteoporosis,Lab,Orders,1
Chronic,Chronic Maintenance Visit: Osteoporosis,Lab,Results Consultation,1
Chronic,Chronic Maintenance Visit: Osteoporosis,Measurements,BP,1
Chronic,Chronic Maintenance Visit: Osteoporosis,Measurements,Temp,1
Chronic,Chronic Maintenance Visit: Osteoporosis,Measurements,Weight,1
Chronic,Chronic Maintenance Visit: Osteoporosis,Patient History,Data Collection,1
Chronic,Chronic Maintenance Visit: Osteoporosis,Patient History,Interval history/Consultation,1
Chronic,Chronic Maintenance Visit: Osteoporosis,Pharmacological Treatment/Mgmt,Condition Consultation,1
Chronic,Chronic Maintenance Visit: Osteoporosis,Pharmacological Treatment/Mgmt,Orders/scripts,1
Chronic,Chronic Maintenance Visit: Osteoporosis,Physical Exam,Problem Oriented Physical,1
Chronic,Chronic Maintenance Visit: Osteoporosis,Education,Dietary/Physical Activity Guidance,1
<<end>>,,,,

Column In Labeled Data,Available in un-labeled data?,Source,Notes
zip,yes,openpv,a zipcode is an instance in our data; it is also one of three keys we use for integration with other tables
install_type,no,openpv,"rolled the 17 or so values in this into three: residential, commercial, industrial (to line up with rate tables)"
Year Installed,no,openpv,"the first year of install allowed in this data is 2016, but we have data that goes much farther back"
size_kw,no,openpv,
cost_per_watt,no,openpv,this is the target variable
cost,no,openpv,
lbnl_tts_version_year,no,openpv,
annual_PV_prod,no,openpv,"I have a feeling these will be highly determinative of cost, but they're not available in non-labeled data"
annual_insolation,no,openpv,
sales_tax_cost,no,openpv,
tilt1,no,openpv,
azimuth1,no,openpv,
reported_annual_energy_prod,no,openpv,
index,no,openpv,
PO_NAME,yes,Census,These columns are used to cross-walk zipcodes to other geographic areas to integrate other datasets
STATE,yes,Census,These columns are used to cross-walk zipcodes to other geographic areas to integrate other datasets
ZIP_TYPE,yes,Census,These columns are used to cross-walk zipcodes to other geographic areas to integrate other datasets
ZCTA,yes,Census,"This is how the census bureau accounts for shifts in small zip codes, merging them into larger ones (reduces total count from ~40k to ~33k)"
Zip_join_type,yes,Census,How the zipcode-ZCTA crosswalk was done; this distinction will be meaningful for some variables
population,yes,Census,
landsqmi,yes,Census,
popdensity,yes,Census,
eiaid,yes,OpenEI Utility Rates,
utility_name,yes,OpenEI Utility Rates,
service_type,yes,OpenEI Utility Rates,
ownership,yes,OpenEI Utility Rates,
comm_rate,yes,OpenEI Utility Rates,
ind_rate,yes,OpenEI Utility Rates,
res_rate,yes,OpenEI Utility Rates,
eiaid_iou,yes,OpenEI Utility Rates,
utility_name_iou,yes,OpenEI Utility Rates,
state_iou,yes,OpenEI Utility Rates,
service_type_iou,yes,OpenEI Utility Rates,
ownership_iou,yes,OpenEI Utility Rates,
comm_rate_iou,yes,OpenEI Utility Rates,
ind_rate_iou,yes,OpenEI Utility Rates,
res_rate_iou,yes,OpenEI Utility Rates,
no_financial_incentive_prog,yes,DSIRE,number of financial incentive programs for renewable energy per state
no_rules_reg_pol_incentive,yes,DSIRE,number of rules/regs incentive programs for renewable energy per state
ZCTA_5,yes,Housing Survey,
Geography,yes,Economic Survey,
mean_income,yes,Economic Survey,
earning_hhs,yes,Economic Survey,
mean_income_earning_hhs,yes,Economic Survey,
percent_int_div_rent,yes,Economic Survey,"I have a theory that the more people who have capital gains income in a zipcode, the greater the adoption"
earn_int_div_rent,yes,Economic Survey,"I have a theory that the more people who have capital gains income in a zipcode, the greater the adoption"
Geographic identifier code,yes,American Community Survey,
Number of establishments,yes,American Community Survey,We could use this to measure adoption for commercial solar
Paid employees for pay period including March 12 (number),yes,American Community Survey,
"First-quarter payroll ($1,000)",yes,Housing Survey,
"Annual payroll ($1,000)",yes,Housing Survey,
total_household,yes,Housing Survey,We could divide this by the number of installs per zip to measure adoption for residential solar
avg_hh_size,yes,Housing Survey,
percet_1unit,yes,Housing Survey,
no_plants,yes,EIA,number of PV generators in a zipcode
total_capacity,yes,EIA,generating capacity of all PV generators in that zipcode
op_months,yes,EIA,age in months of operating PV generators in a zipcode


Name,Uniform Type Identifier,Assigned Number,Specification
Generic Access,org.bluetooth.service.generic_access,0x1800,GSS
Alert Notification Service,org.bluetooth.service.alert_notification,0x1811,GSS
Automation IO, org.bluetooth.service.automation_io, 0x1815,GSS
Battery Service, org.bluetooth.service.battery_service, 0x180F,GSS
Blood Pressure,org.bluetooth.service.blood_pressure,0x1810,GSS
Body Composition,org.bluetooth.service.body_composition,0x181B,GSS
Bond Management Service, org.bluetooth.service.bond_management, 0x181E,GSS
Continuous Glucose Monitoring, org.bluetooth.service.continuous_glucose_monitoring, 0x181F,GSS
Current Time Service,org.bluetooth.service.current_time,0x1805,GSS
Cycling Power, org.bluetooth.service.cycling_power, 0x1818,GSS
Cycling Speed and Cadence, org.bluetooth.service.cycling_speed_and_cadence, 0x1816,GSS
Device Information,org.bluetooth.service.device_information,0x180A,GSS
Environmental Sensing, org.bluetooth.service.environmental_sensing, 0x181A,GSS
Fitness Machine, org.bluetooth.service.fitness_machine, 0x1826,GSS
Generic Attribute, org.bluetooth.service.generic_attribute, 0x1801,GSS
Glucose, org.bluetooth.service.glucose, 0x1808,GSS
Health Thermometer,org.bluetooth.service.health_thermometer,0x1809,GSS
Heart Rate,org.bluetooth.service.heart_rate,0x180D,GSS
HTTP Proxy,org.bluetooth.service.http_proxy,0x1823,GSS
Human Interface Device,org.bluetooth.service.human_interface_device,0x1812,GSS
Immediate Alert, org.bluetooth.service.immediate_alert, 0x1802,GSS
Indoor Positioning,org.bluetooth.service.indoor_positioning,0x1821,GSS
Internet Protocol Support Service, org.bluetooth.service.internet_protocol_support, 0x1820,GSS
Link Loss, org.bluetooth.service.link_loss, 0x1803,GSS
Location and Navigation, org.bluetooth.service.location_and_navigation, 0x1819,GSS
Mesh Provisioning Service, org.bluetooth.service.mesh_provisioning, 0x1827,GSS
Mesh Proxy Service,org.bluetooth.service.mesh_proxy,0x1828,GSS
Next DST Change Service, org.bluetooth.service.next_dst_change, 0x1807,GSS
Object Transfer Service, org.bluetooth.service.object_transfer, 0x1825,GSS
Phone Alert Status Service,org.bluetooth.service.phone_alert_status,0x180E,GSS
Pulse Oximeter Service,org.bluetooth.service.pulse_oximeter,0x1822,GSS
Reconnection Configuration,org.bluetooth.service.reconnection_configuration,0x1829,GSS
Reference Time Update Service, org.bluetooth.service.reference_time_update, 0x1806,GSS
Running Speed and Cadence, org.bluetooth.service.running_speed_and_cadence, 0x1814,GSS
Scan Parameters, org.bluetooth.service.scan_parameters, 0x1813,GSS
Transport Discovery, org.bluetooth.service.transport_discovery, 0x1824,GSS
Tx Power,org.bluetooth.service.tx_power,0x1804,GSS
User Data, org.bluetooth.service.user_data, 0x181C,GSS
Weight Scale,org.bluetooth.service.weight_scale,0x181D,GSS

index,glazing,natural_ventilation,shading_devices,daylighting,building_geometry,material_properties,passive_design_strategies,building_orientation,building_form,air-to-water,air-to-air,heat_recovery,heat_transfer,surface,zone,heat_balance,energy_balance,cooling_load,heating_load,energy_storage,building_envelope,thermal_mass,post-occupancy_evaluation,calibrated_simulation,ecm,baseline_models,calibrated_model,performance_measurement_and_verification,coefficient_of_variation,ashrae_guideline_14,time-of-use,electricity_pricing,cost_analysis,energy_price,cost_savings,smart_meters,meter_readings,real-time,control_algorithms,load_profile,historical_data,time-step,weather_data,site,eui,energy_consumption,occupant_behavior,internal_heat_gains,lights,household_appliances,schedule,equipment,ahu,variable_air_volume,constant_air_volume,damper,static_pressure,differential_pressure,noise_level,fan_power,fan_speed,condensing_temperature,compressor_power,condenser_fan_power,mass_flow_rate,inlet_temperature,outlet_temperature,hot_water,set_point,water_temperature,cop,chilled_water,chiller,clothing_insulation,air_speed,mean_radiant_temperature,thermal_comfort,thermal_sensation,thermal_comfort_index,pmv,ppd,heating_degree_days,cooling_degree_days,outdoor_air_temperature,outdoor_temperature,indoor_air_temperature,operative_temperature,wind_direction,wind_speed,carbon_dioxide,dew_point,relative_humidity,dry_bulb_temperature
energy_simulation,0.24412761628627774,0.1965302377939224,0.2380731403827667,0.3798846006393433,0.4998288154602051,0.34575557708740234,0.21058215200901031,0.2565562129020691,0.3680428266525269,,0.14654697477817535,0.19723182916641235,0.258929044008255,0.1541920006275177,0.30327555537223816,0.3457697629928589,0.2352637052536011,0.3233488202095032,0.29777729511260986,0.16962233185768127,0.41284817457199097,0.22155632078647614,0.2601374089717865,0.213143453001976,0.32204461097717285,0.1953611969947815,0.3576675355434418,0.2326931357383728,0.22533933818340304,0.2458266615867615,0.07871368527412415,0.2465308755636215,0.2956268787384033,0.1079113706946373,0.15646424889564514,0.0689607784152031,0.06535466015338898,0.2623421549797058,0.245760440826416,0.19725722074508667,0.2216484546661377,0.2437329888343811,0.4858705401420593,0.1743587851524353,0.16084468364715576,0.461572527885437,0.4177409410476685,0.27638229727745056,0.21332529187202454,0.075079545378685,0.3393629491329193,0.19250908493995667,0.18592026829719546,0.2267442941665649,0.12036986649036407,0.09037773311138153,0.10063733160495758,,,0.1114475429058075,0.05800607055425644,0.07654553651809692,0.0727975070476532,,0.10531605780124664,,0.05333319678902626,0.0925738662481308,0.17637118697166446,,0.19640091061592105,0.12223772704601288,0.1686885952949524,0.13170437514781952,0.19832003116607666,0.19574511051177976,0.3330463469028473,0.2119564116001129,0.2382339835166931,0.2328426241874695,0.21348819136619568,0.17817533016204834,0.12271565943956375,0.17135894298553467,0.13346995413303375,0.21310032904148105,0.17689937353134155,0.1735798418521881,0.1829356551170349,0.1385907530784607,0.12503448128700256,0.19651365280151367,0.19563861191272736
optimization,0.2292751371860504,0.2518010437488556,0.3022706210613251,0.3300190567970276,0.3148539066314697,0.247920960187912,0.2114676833152771,0.34113264083862305,0.3665344417095184,0.0808301642537117,0.1079833060503006,0.31368863582611084,0.3358079791069031,0.24476446211338046,0.2742287516593933,0.21129614114761355,0.31438833475112915,0.2669607400894165,0.2218419909477234,0.3342294692993164,0.4592356085777282,0.2324043959379196,0.07805053889751434,0.0668845996260643,0.2281457781791687,,0.205033615231514,,0.09888119250535964,0.09651851654052734,0.215427041053772,0.16493922472000122,0.24616694450378415,0.2773951888084412,0.3244054913520813,0.1993795931339264,0.0689750611782074,0.411501944065094,0.38455379009246826,0.2953183948993683,0.266394317150116,0.2342595607042313,0.18766328692436215,0.3396161496639252,0.19244730472564694,0.41052630543708796,0.2818670868873596,0.22153392434120175,0.2379682809114456,0.17468379437923431,0.4040770530700684,0.34637358784675604,0.2874240875244141,0.20718736946582794,0.0974910333752632,0.27401381731033325,0.22403767704963684,0.10188676416873932,0.11310476809740068,0.15485548973083496,0.2424474507570267,0.16929036378860474,0.11125538498163223,0.060213826596736915,0.25105440616607666,0.18266761302948,0.1910165101289749,0.22387486696243286,0.3516491651535034,0.2574519515037537,0.3113382458686829,0.27781063318252563,0.3403216004371643,,0.22764426469802854,0.06681065261363983,0.4526652097702026,0.09930912405252457,0.07398444414138794,0.15382800996303558,0.14449545741081238,,,0.16804134845733645,0.20825764536857605,0.3129030764102936,0.13100409507751465,0.1680927723646164,0.21147920191287994,0.20066575706005094,0.15477913618087769,0.21593190729618075,0.10701458156108856
multi-objective_optimization,0.1457468867301941,0.12991583347320554,0.13492245972156525,0.1828901469707489,0.16396301984786987,0.09356296062469482,0.2147088050842285,0.15776440501213074,0.2590556740760803,0.163901686668396,0.19019940495491028,0.2611888945102692,0.1146080195903778,,0.11757910251617433,0.1936594843864441,0.2347865700721741,0.13483083248138428,0.12725085020065308,0.15678749978542328,0.29519253969192505,0.08702694624662399,0.0942106395959854,0.07840827107429504,0.20038318634033206,,0.16953657567501068,,0.11193694174289703,0.08286029100418091,0.09016858041286467,0.08510403335094452,0.24816274642944336,0.14381204545497894,0.2605384886264801,,,0.18950062990188601,0.249995231628418,0.1945664584636688,0.08889371901750565,0.11968496441841125,0.08106329292058945,0.1539362072944641,0.0970657616853714,0.1986914873123169,0.2183101773262024,0.07688925415277481,,0.12481166422367095,0.21354104578495026,0.08881667256355286,0.17706558108329773,0.14360865950584412,,0.10807624459266664,0.07127255201339723,,,0.053208105266094215,0.08645361661911011,0.05456622689962387,0.055050496011972434,0.12136340141296388,0.10076484084129332,0.08283716440200806,0.05561796203255653,0.06441207975149155,0.1822909712791443,0.0719238668680191,0.2302833795547485,0.14718888700008392,0.1647903472185135,0.08244574815034866,0.07895657420158386,0.08341313153505325,0.35598570108413696,0.130889892578125,0.15138041973114014,0.2258029580116272,0.21769854426383967,,,0.05159018188714981,0.05225105583667755,0.1134749948978424,0.08251569420099257,,,0.1025039330124855,0.20592808723449707,0.09094463288784027,0.07552778720855713
data_collection,,,0.09125279635190964,0.15695738792419436,0.13193537294864655,0.158399760723114,,0.1353345662355423,0.10576023161411284,,,0.08602076768875122,0.1258419156074524,0.12701506912708282,0.20944537222385406,0.11538010090589525,0.1029280349612236,0.08052961528301239,0.05475936084985733,0.12868556380271912,0.18379032611846924,,0.2735447883605957,0.08708919584751129,0.14842240512371066,0.08336734771728516,0.14088526368141174,0.1328985095024109,,0.10475685447454453,0.06613371521234512,0.18690204620361328,0.15100520849227905,0.06277864426374435,0.08300774544477463,0.3633782267570496,0.33566057682037354,0.4021481275558472,0.2301138639450073,0.1883980333805084,0.35969942808151245,0.1607009619474411,0.26850616931915283,0.4053178429603577,0.11585403233766554,0.4198564887046814,0.2676273882389069,0.15970586240291595,0.20822446048259732,0.10636884719133376,0.29857760667800903,0.3761383593082428,0.16903339326381686,,,0.06812341511249542,0.0683709979057312,0.09278783202171326,0.08105884492397307,0.05005660280585289,0.10644160956144333,,,,0.06774349510669707,,,0.1167745590209961,0.1466650366783142,0.10606059432029724,0.10901950299739838,,0.13180987536907196,0.13574692606925964,0.17444370687007904,0.08732661604881288,0.2939401268959045,0.2036459594964981,,0.07418353110551834,,,,0.17096146941184998,0.18372249603271484,0.2626982629299164,0.10210303962230682,0.14725132286548615,0.20951485633850095,0.11427149176597595,,0.2511225640773773,0.10461384803056717
measurement,0.2095324695110321,0.07416512817144394,0.12754285335540771,0.2548377513885498,0.07699346542358397,0.3091227114200592,,0.1810903251171112,,,,0.20027786493301392,0.3399813175201416,0.3853158950805664,0.2592338025569916,0.195377379655838,0.18631333112716675,0.14858771860599518,0.15917150676250458,0.17463986575603485,0.26364958286285395,0.11241881549358368,0.10919557511806488,0.11435496807098387,0.09255801141262054,,0.12091848254203795,0.08008760213851929,0.16335821151733398,0.16856646537780762,,,0.05604775995016098,0.07465188205242157,,0.2669892907142639,0.24721288681030276,0.4088001251220703,0.14841324090957642,0.12741990387439728,0.2420297861099243,0.15917932987213135,0.2530398666858673,0.4259262979030609,0.06852351874113083,0.28658705949783325,0.14814382791519165,0.19254666566848755,0.222222164273262,,0.19166351854801175,0.3786707520484924,0.21158581972122192,0.0994524210691452,,0.2397739589214325,0.25569745898246765,0.29618263244628906,0.2806651294231415,0.11251861602067947,0.2011699676513672,,0.05863798037171364,,0.3044447898864746,0.18616072833538053,0.2301168888807297,0.1968696117401123,0.2568018436431885,0.2618618309497833,0.22193683683872226,0.11012815684080124,0.1722082495689392,0.13019412755966187,0.4230313003063202,0.24471820890903476,0.29950475692749023,0.22723400592803955,0.07812834531068802,0.184076726436615,0.1231488585472107,,,0.2776334881782532,0.19679021835327148,0.4932356476783752,0.2448779940605164,0.27442994713783264,0.33488649129867554,0.32055118680000305,0.247159406542778,0.4544550180435181,0.2580534517765045
neural_networks,0.05078304186463356,0.10536053776741028,0.11568760871887207,0.16098245978355408,,0.07637021690607071,,0.05170857533812523,,,,0.07998652756214142,0.0758000835776329,0.08292558789253235,0.07656397670507431,0.09193744510412216,,0.1187419667840004,0.07806526124477386,0.14895299077033994,0.08245964348316193,,0.10592931509017944,,0.13679063320159912,0.07341127842664719,0.10681189596652983,,,0.0639195516705513,,,0.07845975458621979,0.08139006793498993,0.14104226231575012,0.1348813772201538,0.16255724430084229,0.2635778784751892,0.27714985609054565,0.12285056710243225,0.3785243034362793,0.16203366219997406,0.1205609291791916,0.09017490595579147,0.08844105154275894,0.26216864585876465,0.21979427337646484,0.08204960823059082,0.08687709271907806,0.06851507723331451,0.2121495604515076,0.1448550671339035,0.2481892704963684,0.16956612467765808,0.09189146757125853,0.0993773564696312,,,,,,,,,,,,0.05327996611595154,0.13274569809436798,0.1272735744714737,0.14710575342178345,0.09488411992788316,0.16109424829483032,0.07117748260498047,,0.08377516269683838,0.22532975673675534,0.15341947972774506,0.09059448540210724,0.20924870669841766,0.1319177746772766,,,0.07285606116056442,0.14326250553131106,0.16511589288711548,0.06860429793596268,,0.11539276689291,0.13929474353790286,0.0907476544380188,0.17014092206954956,0.1032840758562088
reinforcement_learning,0.10379808396100998,0.12531407177448273,0.08801858127117157,0.09287196397781372,0.09704433381557463,,,0.051272455602884286,,0.07359971106052399,0.08150694519281387,,0.10113300383090973,0.06435145437717438,0.08555670827627182,0.055974788963794715,,0.10295119136571884,,0.12214404344558714,0.0964142456650734,0.07012136280536653,0.0772688090801239,0.11075445264577866,,,0.1170593798160553,0.08246354758739471,0.10875745117664336,0.06636753678321837,0.11043080687522888,0.08188499510288239,,0.13289900124073029,0.11521141231060028,0.13003212213516235,0.050053827464580536,0.17656424641609192,0.21879014372825625,0.0875791609287262,0.20940852165222168,0.12863239645957947,0.05715576559305191,,0.05424579232931137,0.15433524549007416,0.1659696400165558,0.062124185264110565,0.08196161687374115,0.05839265882968904,0.137550950050354,0.1219722330570221,0.17823216319084167,0.1897700130939484,0.09531918168067932,0.11093804240226746,0.1448591947555542,,0.13318388164043427,,0.16299942135810852,,,,,,0.05249785631895065,0.06544452160596848,0.1458580195903778,0.10507228970527648,0.13720209896564484,0.07980605959892273,0.0735192745923996,0.12887541949748993,0.07072585076093674,0.09658397734165193,0.22448676824569705,0.13058805465698242,0.12293381243944168,0.12882928550243378,0.12800928950309753,,,0.06839072704315187,0.12725010514259338,0.1786373108625412,0.11447454988956453,0.07172137498855591,0.07139983773231506,0.07258579879999161,0.10738864541053772,0.12442419677972795,0.0906151831150055
validation,0.1624297946691513,0.2031829059123993,0.1663413643836975,0.2509589493274689,0.17651551961898804,0.27447310090064997,0.10366670787334442,0.1365782916545868,0.08439503610134125,0.06982284039258957,0.13123726844787598,0.21059124171733856,0.3230193853378296,0.25728201866149897,0.3239016532897949,0.2301822006702423,0.2785197496414185,0.2355615198612213,0.18707814812660215,0.15799440443515778,0.2599160671234131,0.11460589617490767,0.13771234452724454,0.1245105192065239,0.18738922476768494,0.14529338479042053,0.36614644527435297,0.11665435880422592,0.27553266286849976,0.25327157974243164,,0.14331844449043274,0.19615700840950007,,0.09076274186372756,0.18181359767913816,0.16213570535182953,0.35916659235954285,0.31559568643569946,0.1799802929162979,0.3187064528465271,0.2593676447868347,0.2819585204124451,0.3071066439151764,0.1651703417301178,0.3719388246536255,0.2132354974746704,0.2184303402900696,0.149383544921875,,0.2976756691932678,0.2565598785877228,0.2638171315193176,0.1462707370519638,0.050926867872476585,0.265897274017334,0.15208905935287476,0.12318195402622226,0.09996381402015686,0.15319645404815674,0.18571612238883967,0.10894361138343812,0.1220378875732422,,0.23961809277534485,0.1642214208841324,0.24658238887786865,0.17629145085811615,0.2349569946527481,0.2000374495983124,0.24160000681877136,0.12868067622184753,0.2196846902370453,0.090139701962471,0.29118704795837397,0.12521901726722715,0.33493101596832275,0.21808475255966187,0.057517599314451225,0.15821024775505066,0.0943126529455185,,,0.2311191260814667,0.2139376401901245,0.3962191939353943,0.1576698124408722,0.1530912220478058,0.22085388004779816,0.10291364789009094,0.13469241559505465,0.25810399651527405,0.14169059693813324
feature_extraction,0.07182890921831131,,0.050117913633584976,0.06299147754907608,0.1403065025806427,0.10625532269477844,0.09866905212402344,0.12964695692062378,0.12947100400924685,,0.06482917070388794,0.11420144140720367,0.08690741658210754,0.0833621695637703,0.07310845702886581,0.0899968147277832,,0.05570320412516594,,,0.13620880246162415,,0.11345519125461577,0.146394282579422,0.16510593891143802,0.05649151653051376,0.20766377449035645,0.06897079199552536,0.10319376736879347,0.12345752120018005,,0.08146581798791885,0.08336939662694931,,,0.10131385177373886,0.2277018129825592,0.22199371457099915,0.16226933896541595,0.1933482587337494,0.286382257938385,0.10259979218244553,0.1291639655828476,0.08369655907154082,0.14348123967647552,0.1945740133523941,0.11178275942802428,0.10488836467266084,0.05306849628686905,0.1111590564250946,0.1724431812763214,0.14915217459201813,0.19684691727161407,0.09688150882720947,0.10512255877256392,,,0.07872439920902252,0.08874307572841644,,,0.12252218276262285,0.05259692668914795,,,,,,0.10105792433023453,,0.07002468407154082,,0.16474805772304535,0.056592393666505814,,,0.11254054307937622,0.08938734233379364,,,,,,0.10506370663642883,0.07782813906669618,0.09765134006738664,,,,,,0.05652022734284401,0.10668620467185974
anomaly_detection,,,,,,,,,,,0.08085599541664124,,,,,,0.06869608908891678,,,0.06581077724695206,,,0.07344105839729309,0.1513042151927948,,0.1535698175430298,0.2025991529226303,0.08767249435186386,0.09312066435813904,0.17915144562721252,,0.08905384689569472,0.06092280149459839,,0.06618732959032059,0.23936864733695984,0.29291778802871704,0.3088893294334412,0.07888761162757874,0.20075425505638125,0.32400959730148315,,,,0.06875645369291307,0.2551814615726471,0.13628163933753967,,,0.1948738992214203,0.15712039172649386,0.13698318600654602,0.15227918326854706,0.0927313268184662,,,0.060291837900877,,0.09130126982927322,0.050511009991168976,,0.05252635106444359,,,0.052576445043087006,,,,,0.0729108452796936,0.08393725752830505,,0.10373620688915253,,,,0.07981378585100174,0.08631297200918198,,,,0.10926896333694458,0.06871791929006578,0.05492191761732101,,,,0.08055725693702698,0.0576387420296669,,0.06813999265432358,,
clustering,0.05972732603549957,0.05810931324958801,0.10358960926532744,0.14553207159042358,0.09101903438568117,0.08487888425588608,,0.17035135626792908,0.17150083184242249,0.054535619914531715,,,0.12809428572654724,0.27469402551651,0.2608337998390198,0.10158798098564148,0.0967353656888008,0.13154128193855286,0.1060500144958496,0.10057301074266434,0.11933135986328125,0.09488584101200104,0.056399691849946976,,0.1209939494729042,0.051029808819293976,0.1312483251094818,,0.1164233610033989,,0.0817345380783081,0.11517389118671414,0.06887918710708618,0.1479421705007553,0.06642154604196547,0.2064398229122162,0.2820188999176025,0.21130546927452087,0.1395559012889862,0.34076303243637085,0.366743266582489,0.10594917833805084,0.16856171190738678,0.2379806041717529,0.1847153902053833,0.3168923258781433,0.2076702117919922,0.10323470830917357,0.16104820370674133,0.0865379124879837,0.3219174742698669,0.231400802731514,0.1387297362089157,0.07375049591064453,,0.08581743389368057,,,0.050889868289232254,0.05320362001657486,0.05651872605085372,0.16283534467220304,0.07925114780664444,,0.08889739215373993,,0.0589718259871006,0.12333539873361588,0.17548158764839172,0.07980874180793762,0.13392314314842224,0.06980368494987488,0.1847711205482483,,0.07329866290092467,,0.21856030821800232,0.13722053170204165,,0.05299295112490654,,0.14990222454071045,0.09319298714399338,0.08540472388267517,0.2547474801540375,0.1657363474369049,0.08220472931861877,0.09427765011787416,0.13515539467334747,0.07264183461666107,,0.1367400586605072,
dimensionality_reduction,,0.06874381750822067,,0.07914220541715622,0.0904533639550209,,0.11656395345926285,0.06891807913780212,0.11580953001976013,,0.0643896609544754,0.06279633194208145,,,,,,,0.05904445797204971,,,,0.08207813650369644,0.06967213749885559,,0.11871941387653352,0.07922437787055969,0.05257369950413704,,0.05897423997521401,0.07509313523769379,0.1479061394929886,0.10116103291511536,,0.07477450370788574,,0.15113726258277893,0.10028353333473206,0.07728955149650574,0.16936621069908142,0.2480186074972153,,0.051946230232715614,,,0.1814461648464203,0.07848536968231201,,,0.06592140346765518,0.07589750736951828,,0.12277240306138992,0.1339329183101654,0.06360774487257004,,,,0.1155339926481247,0.053609445691108704,,0.08746108412742615,0.106439046561718,,,,,,,,,,0.07619530707597733,,,,0.11990589648485185,,0.06266722083091736,0.05073010921478272,0.07177086174488068,,,,,,,,,,,,
segmentation,,,0.08822228014469148,0.07399213314056396,0.12534984946250916,0.10225872695446014,,0.12970077991485596,0.09651906788349153,0.1039540097117424,,,0.07601957768201828,0.2153996378183365,0.19524841010570526,0.06299097836017609,,,,,0.1260080486536026,0.054105829447507865,,,,,0.08701197803020477,,,,,0.0606093555688858,0.05892111361026764,,0.05486935749650002,0.08278307318687439,0.17908984422683716,0.1745220273733139,0.1173221319913864,0.16004811227321625,0.1180233359336853,,,0.1810951977968216,0.1044982522726059,0.11241388320922853,,0.0561358705163002,0.07306640595197678,,0.12049053609371185,0.13310876488685608,0.08334210515022278,,,0.06038505584001541,,,0.185911625623703,,,,,,,,,,,,,,,,0.08250495791435243,0.05769894272089005,0.1371690034866333,0.1043904796242714,,,,,,,,,,,0.0519661009311676,,,,
classification,0.14181265234947205,0.07153166830539702,0.16553178429603574,0.17758670449256894,0.179741770029068,0.19533078372478485,,0.18920932710170746,0.08310823142528534,,0.1616434007883072,0.16890600323677066,0.20167642831802368,0.31967127323150635,0.34959876537323,0.10715633630752563,0.12116605043411255,0.1441538780927658,0.09869461506605147,0.1848006546497345,0.2855679392814636,0.0974852666258812,,,0.15816393494606018,,0.07274921983480452,0.07111229002475739,0.05631527304649352,0.15302430093288422,0.05558917298913002,,0.09162454307079317,0.08112794160842897,0.07185409963130951,0.1594463586807251,0.17920660972595215,0.25113922357559204,0.1594330221414566,0.21037805080413816,0.2814176082611084,,0.1359289288520813,0.3691496253013611,0.1962355375289917,0.2611088156700134,0.17893937230110168,0.15724246203899386,0.19527065753936768,0.11217491328716278,0.2862592339515686,0.3843734264373779,0.16921432316303253,0.07070667296648027,,0.14081302285194394,0.11114396154880524,,0.12554959952831268,,0.06682214885950089,0.08373373001813889,,,0.11799561232328415,,0.08743587136268616,0.155448317527771,0.14011110365390778,0.07641622424125671,0.13212308287620544,0.05614489316940308,0.19348394870758054,0.07867288589477539,0.1350814700126648,0.0780617967247963,0.25836750864982605,0.17371758818626404,,0.09791752696037292,0.08907695859670639,0.11817964911460875,0.07786635309457779,0.14934082329273224,0.16620147228240967,0.2228148877620697,0.08866044878959656,0.2021196484565735,0.2307897061109543,0.1885126531124115,0.08374207466840744,0.1901427060365677,0.08084987103939056
statistical_analysis,0.09015382826328278,0.16733233630657196,0.07894854992628098,0.20716901123523712,0.11948746442794801,0.19565394520759585,0.08269199728965759,0.1474931538105011,0.11863947659730913,,0.060819491744041436,0.09622668474912643,0.18889367580413816,0.1740930676460266,0.18970724940299988,0.16693161427974698,0.164603590965271,0.1401042342185974,0.13469325006008148,0.0928332582116127,0.1910313963890076,,0.15962256491184235,0.09107008576393127,0.1415589451789856,0.13278217613697052,0.1921902298927307,0.0565074160695076,0.28050994873046875,0.1537497639656067,,0.17073094844818115,0.1253949999809265,0.1871829181909561,0.1096569448709488,0.1515260487794876,0.21558509767055511,0.2977997064590454,0.25387126207351685,0.19989743828773496,0.4499201774597168,0.08751802146434784,0.2869856357574463,0.2952912449836731,0.34043848514556885,0.4161189794540405,0.3026728928089142,0.13230599462985992,0.12965047359466553,0.0944695770740509,0.25420501828193665,0.23821921646595,0.14720818400382996,0.15179067850112915,0.09787800908088684,0.12038885056972505,0.08383850753307343,,0.1435489058494568,,0.07815295457839966,0.0525820329785347,,,0.10524114221334456,0.07557103037834167,0.05464918166399002,0.13596251606941226,0.12039390951395035,0.1403677463531494,0.19805827736854556,0.057687968015670776,0.15930908918380735,0.17644789814949036,0.16008546948432922,0.11253031343221664,0.28801417350769043,0.25186002254486084,0.06543583422899246,0.15331676602363584,0.09989707171916963,0.10232321918010713,0.12246916443109512,0.2052436470985413,0.2339816838502884,0.2490760535001755,0.2250358611345291,0.20564743876457212,0.2587761282920837,0.10685966908931732,0.11303375661373137,0.2519973218441009,0.1939096450805664
regression,0.1838550567626953,0.10233734548091887,0.1228802427649498,0.213695764541626,0.1533181071281433,0.16496804356575012,0.1094500720500946,0.18372897803783414,0.20310574769973755,,0.05731077492237091,0.1138426661491394,0.15747690200805664,0.18345367908477786,0.21701855957508087,0.22137404978275302,0.21185460686683652,0.2622702717781067,0.27575135231018066,0.05832836031913757,0.2307150661945343,0.09845901280641556,0.07137437164783478,0.09060496091842653,0.21635720133781436,0.2972381711006165,0.2864351570606232,,0.2704501748085022,0.15833787620067594,0.10689297318458556,0.18529757857322693,0.14835938811302185,0.1762683093547821,0.16225752234458926,0.07176865637302399,0.1538930982351303,0.15338492393493652,0.2048647552728653,0.22521087527275085,0.3331277072429657,0.21750421822071075,0.245288610458374,0.2249598503112793,0.3288071155548096,0.3973851203918457,0.21754533052444455,0.2133537828922272,0.21812859177589414,0.1808938980102539,0.23963522911071775,0.18568205833435056,0.18902179598808289,0.14250971376895905,0.11809499561786653,0.11787228286266327,0.10133661329746246,0.06371880322694777,0.11161519587039948,0.14605122804641724,0.15058067440986633,0.13495555520057678,0.15159913897514346,,0.13073740899562836,0.1128883957862854,0.12802797555923462,0.11353489756584167,0.1594284176826477,0.14767083525657654,0.2144224047660828,0.09795080870389937,0.21568843722343445,0.2305490076541901,0.17715102434158325,0.13394016027450562,0.2689626216888428,0.3074541091918945,0.120321586728096,0.2464941442012787,0.15888795256614685,0.21808397769927976,0.27784743905067444,0.257681667804718,0.2955835461616516,0.31197333335876465,0.2774809598922729,0.198722779750824,0.23038890957832334,0.09935498237609863,0.18011482059955594,0.2405179142951965,0.22325071692466736
correlation,0.2250784933567047,0.12715622782707214,0.16745130717754364,0.2157333642244339,0.16686803102493286,0.2364773750305176,,0.28435587882995605,0.16803988814353946,,,0.1914848238229752,0.3923170268535614,0.30491167306900024,0.2388341128826141,0.16198113560676575,0.2103051394224167,0.2230852246284485,0.23098598420619965,0.08256705105304718,0.2522121071815491,0.11243422329425813,,,0.1322413980960846,0.10037438571453093,0.11671793460845947,,0.22474586963653564,,0.0582956112921238,0.06841595470905304,,0.2493903189897537,0.09248935431241988,0.08712637424468994,0.10602447390556337,0.2091415524482727,,0.1080806404352188,0.25690042972564703,,0.18266895413398745,0.30867719650268555,0.25297853350639343,0.2956481873989105,0.1510338932275772,0.2294178605079651,0.17403921484947205,0.10819336026906967,0.2585358619689941,0.24602922797203064,0.14654898643493652,,,0.16447091102600098,0.155665323138237,0.17574796080589294,0.2210712432861328,0.16717907786369324,0.19350773096084595,0.15011216700077054,0.1928662657737732,,0.26614826917648315,0.18679413199424744,0.2120649814605713,0.15282940864562988,0.19218099117279053,0.2339460104703903,0.24099820852279666,0.14174699783325195,0.1847606748342514,0.18810002505779266,0.30843600630760193,0.18604665994644165,0.2878200113773346,0.2568521499633789,0.05281398445367813,0.1783616542816162,0.11203356087207794,0.21510076522827148,0.1944902390241623,0.2935866713523865,0.309578537940979,0.3829633593559265,0.2340344488620758,0.2932746112346649,0.3569096624851227,0.20404358208179474,0.184899777173996,0.33567628264427185,0.2268870174884796
data_visualization,0.0986240953207016,0.1060607135295868,0.13173924386501312,0.22336894273757932,0.2649543285369873,0.18855522572994232,0.08242066949605943,0.17015615105628967,0.17361518740653992,,0.10714788734912872,0.07516966760158539,0.16390687227249146,0.15857809782028198,0.17556552588939667,0.08441159874200821,0.10230218619108199,,,0.0913502350449562,0.14006629586219788,,0.18451377749443051,,0.11996011435985565,0.1278507262468338,0.10858551412820816,0.06258656084537506,,0.08091617375612259,0.11494062840938568,0.17650875449180606,0.18307173252105716,,0.15201953053474426,0.16585659980773926,0.21262127161026,0.4661152958869934,0.1889940053224564,0.16844509541988373,0.2590380907058716,0.11084924638271333,0.17628255486488342,0.2743486762046814,0.10903801769018172,0.2616732716560364,0.11061102896928787,0.050588738173246384,0.17849037051200867,0.0766882374882698,0.18832817673683167,0.1980380117893219,0.09653857350349426,0.07795505970716476,,0.09267974644899367,0.07421989738941193,0.10103374719619752,,,0.0613817498087883,0.0847531110048294,0.053808555006980896,0.09497722238302232,0.11909791082143785,,,0.09970419108867644,0.06316445767879486,0.08330747485160828,0.11224348843097688,,0.06901699304580687,,0.19696064293384552,0.0842859074473381,0.2139641642570496,0.13557548820972445,,,0.07234102487564087,0.0728021115064621,,0.07909831404685974,0.1228320300579071,0.15561826527118686,0.0743580013513565,0.07525721937417984,0.11026547849178314,0.05785906687378884,0.10418776422739028,0.1467878222465515,
factor_analysis,0.08408316969871521,,,0.056739669293165214,,0.08965083956718445,0.10293067991733552,0.15528380870819092,0.08509374409914018,0.1086939126253128,0.09869571030139923,0.13611987233161926,,,0.11828812956809998,,,0.09387896955013277,0.11451712250709535,,,,0.11137738823890686,0.09356363117694856,0.0635286271572113,0.0811128318309784,0.12429744750261308,0.07458474487066269,0.1125517413020134,0.07813793420791626,,0.09550520777702333,0.17497894167900085,0.05272360518574715,,0.06472650170326233,0.06996865570545198,,,0.10680273920297624,0.07872888445854187,,0.07113058120012282,0.06642202287912369,0.11600181460380556,0.07164275646209718,,,,0.0677153542637825,,,0.07208758592605591,,,0.06423544138669968,,,,,,0.07015427947044373,,,,0.06776992976665497,,0.09367720037698746,,,0.05223412811756134,,0.06611236184835434,0.117299385368824,,,0.05587486550211906,0.10299912840127944,,0.08539748191833496,,0.1737595796585083,0.17906728386878967,0.07755033671855928,,0.07456277310848236,0.10887718945741652,0.13264131546020508,0.13408747315406802,0.08712736517190932,0.10278543829917908,0.08536457270383835,0.08109892159700394
generative_adversarial_networks,,,,,,,,,,0.09955926239490508,0.08903361856937407,,,,,,,,,,,,0.09490594267845154,,,0.05498361587524414,,0.06134296953678131,0.052809253334999084,0.10393987596035004,,,,,,,,,,,,,,,,,,,,,,,0.08095010370016098,,0.07360683381557465,,,,,,,,,,,,,,,,,0.05542735010385513,,,,,,,,,,,,,,,,,,,,,


field_num,start,end,length,column,meaning
1,1,4,4,AIANHH,"American Indian Area/Alaska Native Area/Hawaiian Home Land (Census) 0000=Total (Non-AIANHH plus AIANHH areas
        represented by the record)"
2,5,6,2,STATE,Tabulation State (FIPS) 00=U.S. total
3,7,9,3,COUNTY,Tabulation County (FIPS) 000=U.S. or state total
4,10,12,3,COUSUBCE,"County Subdivision (Census)  Note that this is often referred to as the MCD code.
000=U.S., state, or county total"
5,13,13,1,RT,"Record Type
1=Total
2=Spanish/Hispanic/Latino
3=AIAN
4=AIAN tribal group
5=Asian
6=Asian group"
6,14,16,3,CODE,"Code for AIAN tribal group or Asian group blank= not RT 4 or 6
Note: For RT 4 the codes and their meaning are specified in
         Attachment A for the AIAN tribal groups; for RT 6 see Attachment B for the Asian groups.
"
7,17,25,9,POP,"Total persons
blank=data suppressed"
8,26,34,9,VAPOP,"Total voting age persons
blank=data suppressed"
9,35,43,9,VACIT,"voting age citizens
blank=data suppressed"
10,44,52,9,VACLANG,"Total voting age citizens who speak a language other than English at home.
blank=data suppressed"
11,53,61,9,VACLEP,"Voting age citizens who are limited-English proficient
blank=data suppressed"
12,62,70,9,ILLIT,"Voting age limited-English proficient illiteracy 
blank=data suppressed"
13,71,79,9,CILLIT,"Voting age citizens illiteracy (voting age citizens with no schooling completed plus voting age citizens who have completed nursery school to 4th grade) (QAGE>17, QCITIZEN=1-4, & 
QHIGH=01-02)
blank=data suppressed"
14,80,84,5,LEPPCT,"Percent limited-English proficient with 2 implied 
decimal points
blank=data suppressed"
15,85,89,5,ILLRAT,"Illiteracy rate with 2 implied decimal points
blank=data suppressed"
16,90,90,1,FENG5I,Flag for 5% limited-English proficiency & illiteracy
17,91,91,1,FENG10I,"#=More than 10,000 LEP voting age citizens and the LEP illiteracy rate is higher than the                                                                                           national average
blank=flag not set"
18,92,181,90,NAME1,"U.S. for U.S.  total records.
Blank for state records.
County name for county records.
MCD, County name for county records
AIANHH name for Indian reservation total records."
19,182,183,2,STABRV,State abbreviation.  It is blank for U.S. total and Indian Reservation total records
20,184,273,90,NAME21,Contains the AIANHH name for Indian Reservation records which are not Indian Reservation total records.  This field provides the Indian Reservation name for records which are components of Indian Reservations.
21,274,302,29,RACEGP,The meaning (English translation) of the RT/CODE fields.

study_id,site_id,crop,variety,management,country,latitude,longitude,X_UTM,Y_UTM,zone_UTM,sampling_start_month,sampling_end_month,sampling_year,field_size,yield,yield_units,yield2,yield2_units,yield_treatments_no_pollinators,yield_treatments_pollen_supplement,yield_treatments_no_pollinators2,yield_treatments_pollen_supplement2,fruits_per_plant,fruit_weight,plant_density,seeds_per_fruit,seeds_per_plant,seed_weight,observed_pollinator_richness,other_pollinator_richness,other_richness_estimator_method,richness_restriction,abundance,ab_honeybee,ab_bombus,ab_wildbees,ab_syrphids,ab_humbleflies,ab_other_flies,ab_beetles,ab_lepidoptera,ab_nonbee_hymenoptera,ab_others,total_sampled_area,total_sampled_time,visitation_rate_units,visitation_rate,visit_honeybee,visit_bombus,visit_wildbees,visit_syrphids,visit_humbleflies,visit_other_flies,visit_beetles,visit_lepidoptera,visit_nonbee_hymenoptera,visit_others,Publication,Credit,Email_contact
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_AB,Malus domestica,mixed,conventional,USA,NA,NA,287066.7791,4768463.396,NA,5,5,2013,13.3546,17.29480828,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,2.609848485,NA,NA,NA,NA,NA,NA,NA,NA,NA,17,52.321,Chao1,only bees. Data was obtained by using pantraps,53,0,2,51,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_AH,Malus domestica,mixed,conventional,USA,NA,NA,421258.5996,4725173.018,NA,5,5,2013,20.2343,9.724746374,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,5,10.25,Chao1,only bees. Data was obtained by using pantraps,8,0,0,8,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_BR,Malus domestica,mixed,conventional,USA,NA,NA,404741.7883,4721937.599,NA,5,5,2013,6.0702,16.60146962,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,7,16.286,Chao1,only bees. Data was obtained by using pantraps,14,0,1,13,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_CF,Malus domestica,mixed,organic,USA,NA,NA,258685.6798,4747612.789,NA,5,5,2013,4.0468,15.95674509,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,2.516594517,NA,NA,NA,NA,NA,NA,NA,NA,NA,13,52.558,Chao1,only bees. Data was obtained by using pantraps,43,0,2,41,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_CO,Malus domestica,mixed,organic,USA,NA,NA,303741,4798085,NA,5,5,2013,0.2023,12.19839081,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,0.623219373,NA,NA,NA,NA,NA,NA,NA,NA,NA,13,44.086,Chao1,only bees. Data was obtained by using pantraps,35,0,2,33,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_DC,Malus domestica,mixed,conventional,USA,NA,NA,318795.7151,4765992.266,NA,5,5,2013,4.0468,13.84504424,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,1.419753086,NA,NA,NA,NA,NA,NA,NA,NA,NA,5,7.812,Chao1,only bees. Data was obtained by using pantraps,16,0,0,16,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_EL,Malus domestica,mixed,conventional,USA,NA,NA,399248.6694,4733233.156,NA,5,5,2013,6.8796,5.581076658,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,10,27.486,Chao1,only bees. Data was obtained by using pantraps,35,0,0,35,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_GG,Malus domestica,mixed,organic,USA,NA,NA,310110.9436,4761560.113,NA,5,5,2013,0.607,10.70091774,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,2.245002939,NA,NA,NA,NA,NA,NA,NA,NA,NA,6,8.062,Chao1,only bees. Data was obtained by using pantraps,12,0,0,12,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_HO,Malus domestica,mixed,organic,USA,NA,NA,625345.0166,4858617.466,NA,5,5,2013,12.1406,10.69807809,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,0.238095238,NA,NA,NA,NA,NA,NA,NA,NA,NA,7,14.467,Chao1,only bees. Data was obtained by using pantraps,15,0,0,15,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_HR,Malus domestica,mixed,conventional,USA,NA,NA,390826.2194,4713035.074,NA,5,5,2013,2.4281,7.496817838,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,7,14.429,Chao1,only bees. Data was obtained by using pantraps,14,0,0,14,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_J,Malus domestica,mixed,conventional,USA,NA,NA,320607.163,4779058.102,NA,5,5,2013,1.0117,7.675330731,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,0.565843621,NA,NA,NA,NA,NA,NA,NA,NA,NA,8,19.719,Chao1,only bees. Data was obtained by using pantraps,16,0,0,16,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_KA,Malus domestica,mixed,conventional,USA,NA,NA,333766.3145,4764722.866,NA,5,5,2013,4.0468,9.355918784,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,0.439814815,NA,NA,NA,NA,NA,NA,NA,NA,NA,5,6.929,Chao1,only bees. Data was obtained by using pantraps,7,0,1,6,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_KI,Malus domestica,mixed,conventional,USA,NA,NA,678361.3086,4799702.061,NA,5,5,2013,52.6091,11.76006569,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,0.654761905,NA,NA,NA,NA,NA,NA,NA,NA,NA,14,22.035,Chao1,only bees. Data was obtained by using pantraps,62,0,1,61,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_KLE,Malus domestica,mixed,organic,USA,NA,NA,420149.4268,4742622.087,NA,5,5,2013,1.214,10.99251285,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,2.666666667,NA,NA,NA,NA,NA,NA,NA,NA,NA,5,6.929,Chao1,only bees. Data was obtained by using pantraps,7,0,2,5,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_MH,Malus domestica,mixed,organic,USA,NA,NA,732220,4814790,NA,5,5,2013,1.6187,9.874117187,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,1.666666667,NA,NA,NA,NA,NA,NA,NA,NA,NA,9,12.789,Chao1,only bees. Data was obtained by using pantraps,19,0,0,19,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_MR,Malus domestica,mixed,conventional,USA,NA,NA,672150,4851885,NA,5,5,2013,2.0234,17.70360811,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,7,7.646,Chao1,only bees. Data was obtained by using pantraps,32,0,1,31,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_PB,Malus domestica,mixed,organic,USA,NA,NA,393558.2621,4783080.838,NA,5,5,2013,1.6187,11.2317789,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,0.277777778,NA,NA,NA,NA,NA,NA,NA,NA,NA,9,16.733,Chao1,only bees. Data was obtained by using pantraps,30,0,0,30,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_QU,Malus domestica,mixed,organic,USA,NA,NA,373019.0033,4731555.108,NA,5,5,2013,2.8328,13.08573032,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,7,25,Chao1,only bees. Data was obtained by using pantraps,7,0,0,7,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_SB,Malus domestica,mixed,conventional,USA,NA,NA,648423,4869094,NA,5,5,2013,10.1171,14.60261886,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,7,11.32,Chao1,only bees. Data was obtained by using pantraps,25,0,0,25,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov


,season,episode,character,line
0,9,2,Eric Cartman,"Hello, ma'am. I'm working to clean up the neighborhood from parasites. Do you mind if I take a quick look around your house? I'm afraid you may have hippies."
1,9,2,Elderly Woman,Hippies?
2,9,2,Eric Cartman,"[walks in and begins to rap the walls with his fist] Yeah, they've been poppin' up all over the neighborhood lately. Ms. Nelson next door had seven hippies in her basement; they usually live in colonies. [raps on the wall and the pitch changes] Hm, I don't like the sound of that. Could I take a look in your attic?"
3,9,2,Eric Cartman,"Oh yeah, boy. Take a look at this, ma'am. [she climbs up until her eyes are level with his] See that? Hippies. [five hippies are sitting in a clearing in the attic, smoking and laughing.]"
4,9,2,Elderly Woman,Oh my.
5,9,2,Eric Cartman,"These are what we call the uh giggling stoners. Pretty common form of hippie, usually found in the attics. Problem is, if you see one hippie, there's probably a whole lot more you're not seein'. Uh, whe-where's the backyard."
6,9,2,Eric Cartman,"Yep, that's what I thought. See that? You've got a drum circle in your backyard. [eight hippies are seen seated around a small campfire drumming away. Logs are scattered around them]"
7,9,2,Elderly Woman,"Oh, well they showed up a few days ago, but I didn't think they were hurting anything."
8,9,2,Eric Cartman,"Yeah. You know, I had a guy in Jackson County. He had a little drum circle in his backyard. It turned into a drum circle four miles in diameter. You get a few hippies playing drums and next thing you know, you got yourself a colony."
9,9,2,Elderly Woman,Oh dear.
10,9,2,Elderly Woman,"Oh, well, so, so what do I do?"
11,9,2,Eric Cartman,"[goes back to rapping the walls, then stops] Well, your attic could be so we can fumigate with polymarethane. The drum circle we're gonna have to gas. [raps again. The wall begins to crack and he steps aside. A hippie breaks through and falls to the floor. Cartman says under his breath] God dammit! [pulls out a fire extinguisher from his backpack]"
12,9,2,Hippie 1,"[dazed and confused, coughing] Whoa, how did I get here? Man, I'm so high."
13,9,2,Eric Cartman,God damn hippie! [opens fire. Foam spews out from the extinguisher]
14,9,2,Hippie 1,"Whoa, dude!"
15,9,2,Eric Cartman,Get out of here!
16,9,2,Hippie 1,Not cool! [stands up and looks at Cartman] What's up?! [runs off]
17,9,2,Eric Cartman,"Ma'am, I need to clear out your giggling stoners and your drum-circle hippies RIGHT NOW, or soon they're gonna attract something much worse!"
18,9,2,Elderly Woman,Ooooo...what's that?
19,9,2,Eric Cartman,The college know-it-all hippies.
20,9,2,Driver,"[wearing green jacket] Wow, my friend Brittany was right. This is a really laid-back place."
21,9,2,Woman 1,"[wearing tan jacket] Yeah, this will be a great place to spend spring break. [Stan, Kyle, and Kenny approach them]"
22,9,2,Kyle Broflovski,"Hey, let's ask them. [the boys are wearing shoulder totes with magazines peeking out from them.]"
23,9,2,Stan Marsh,"All right. [the two parties meet] 'Scuse me. [holds out a clipboard] Hello, we are selling magazine subscriptions for our community youth program. Would you like to help young people like us by purchasing a subscription of your choice?"
24,9,2,Driver,"Oh wow, you guys shouldn't be doing that. Don't you know what you're doing to the world?"
25,9,2,Kyle Broflovski,Wha- whataya mean?
26,9,2,Man 1,"[wearing a guitar over his back] You're playing into the corporate game! See, the corporations are trying to turn you into little Eichmann's so that they can make money. [the other man is busily eating chips]"
27,9,2,Stan Marsh,Who are the corporations?
28,9,2,Woman 2,[a blonde with a psychedelic fish on her shirt] The corporations run the entire world. And now they fooled you into working for them.
29,9,2,Stan Marsh,Are you serious? We never heard that.
30,9,2,Driver,We just spent our first semester at college. Our professors opened our eyes. The government is using its corporate ties to make you sell magazines so they can get rich.
31,9,2,Kyle Broflovski,Ugh! Those dirty liars!
32,9,2,Kenny McCormick,(Sonofabitch!) [throws down his shoulder tote]
33,9,2,Man 2,[has finished his chips] This is a really nice town you have here. That's why the corporations are trying to use you to take it down.
34,9,2,Stan Marsh,Well... Well what do we do?
35,9,2,Driver,Just hang with us for a bit. We'll fill you in on everything you haven't been told. [Man 2 resumes eating chips]
36,9,2,Hippie 2,[wearing a headband] It is time to let us out! I'm sending your names! Open this door right now!
37,9,2,Eric Cartman,"[opens the door real quick and tosses another hippie down the stairs] All right, in you go."
38,9,2,Hippie 2,"What are you doing, man?!"
39,9,2,Hippie 3,[wearing a V-neck sweater] Let us out! [the throng advances up the stairs]
40,9,2,Eric Cartman,Get back. Get back or you're all gonna get maced! [the throng backs down]
41,9,2,Hippie 2,"What's up, man?! You can't keep us down here like this!"
42,9,2,Hippie 4,[with straight long hair] What's wrong with you?!
43,9,2,Eric Cartman,What's wrong is that there's more of you showing up every day and I need to find out why!
44,9,2,Hippie 5,[wearing a thin headband] What makes you think you could tell us where to live?!
45,9,2,Hippie 6,"This is a free country, man!"
46,9,2,Eric Cartman,"Brah, I'm not gonna argue with you, all right? Just go with it."
47,9,2,Hippie 3,Just go with it? We've been down here for days!
48,9,2,Eric Cartman,"And you're gonna be here a little longer, brah, all right? Here, here's some joints [tosses a bunch of joints down to the hippies], and a guitar! [tosses that down as well and shuts the door. He then locks it and sets a large beam across the door, then walks away. The hippies are left there, coughing. One of them takes the guitar and sings]"
49,9,2,Singer,What's goin' on in this world o'mine?There's a whole lot of killin' in this world o'mine. Somebody's gotta help this world o'mine...
50,9,2,Stan Marsh,"Sign, sign everywhere. SignDone something to my mind."
51,9,2,Sharon Marsh,"[peeks out through the sliding doors] Stan, sweetie, we're gonna go to the mall. Do you wanna come?"
52,9,2,Stan Marsh,"Mom, the mall is a way for the corporate fat cats to imprison you into a life of servitude. I've got some stuff you should read."
53,9,2,Sharon Marsh,"Okay, sweetie."
54,9,2,Mayor McDaniels,"All right, people, we can move onto issue number 14B."
55,9,2,Chef,"[Secretary of Public Safety] Mayor, we have got to do somethin' about all these potholes on our roads!"
56,9,2,Linda Stotch,[City Clerk and Treasurer] We don't have it in the budget to fix them right now.
57,9,2,Gerald Broflovski,[City Attorney] We'll wish we spent the money when we have a lawsuit on our hands.
58,9,2,Chef,"We- [a struggle is heard in the hall and the council members turn to see what it is. The door opens and Cartman rushes in, roughed up]"
59,9,2,Guard,You can't go in there!
60,9,2,Eric Cartman,"Please, I have to talk to you all right now!"
61,9,2,Mayor McDaniels,"Kid, we're have a city council meeting."
62,9,2,Eric Cartman,"Mayor, something very big is happening, and if you all don't give me a moment of your time, there may be no more South Park to council over!"
63,9,2,Randy Marsh,[Secretary of Parks and Public Grounds] What are you talking about?
64,9,2,Eric Cartman,"I'm talking about the end of all life as we know it. [some surprise is seen among the council members] For the past several days I've been... noticing a steep rise in the number of hippies coming to town. [puts a laptop on the table and turns it on] At first I thought maybe it was just a coincidence. [pulls a projector towards the laptop] Then I saw this... [connects the projector to the laptop, and the projector turns on. Everyone then looks at the screen. Cartman goes to it and points a few things out] Three new drum circles have sprouted up here, here, and here. They're all growing in diameter, at a rate of two hippies per hour. What this means... is that the hippies are conglomerating. They're thriving, if you will. I think that they're setting up for a... [close-up]. hippie music festival."
65,9,2,Linda Stotch,A what?
66,9,2,Eric Cartman,"It's, it's simple science. Look: When hippies start to nest in a new area, it draws other hippies in. With the right weather conditions and topography, it can lead to a music festival. One that last for days, even weeks. Reggae on the River, Woodstock, Burning Man, they will all pale in comparison to what we're looking at now. In my professional opinion... I think we're looking at a full-blown hippie jam festival the size of which we've never seen. [the adults don't get it, Cartman sighs heavily]"
67,9,2,Mayor McDaniels,"Kid, what the hell are you talking about?"
68,9,2,Eric Cartman,"I know hippies. I've hated them all my life. I've kept this town free of hippies on my own since I was five and a half. But I can't contain them on my own anymore. We have to do something, fast!"
69,9,2,Mr Mackey,"Uh, Eric, we're, we're talkin' about potholes right now, m'kay."
70,9,2,Eric Cartman,It's not potholes you need to worry about. It's potheads. I know what these people are capable of. '
71,9,2,Mayor McDaniels,"Johnson, get him out of here. [Johnson rises and goes for Cartman]"
72,9,2,Eric Cartman,"What are you doing?! [Johnson hauls him away] You have to listen to me! You can't sweep this problem under the rug! [he disappears from view, but peeks in one last time] The town is in serious danger! [Johnson returns to close the door]"
73,9,2,Driver,"You see, the corporations take their profits and invest it in the war machine while keeping everyone blind."
74,9,2,Stan Marsh,"Right, so how do we get back at them?"
75,9,2,Kyle Broflovski,"Yeah, we're pissed off."
76,9,2,Driver,"Well, so my idea was this: Let's have like a week long music festival, draw everyone here, and then together, we can tear it all down. [foam appears out of nowhere and covers the hippie driver] Whoa, what the hell?! [Cartman appears]"
77,9,2,Eric Cartman,"I knew you were trying to have a hippie jam festival! All right, everyone pack up your crap, we're going to our basement!"
78,9,2,Kyle Broflovski,"Cartman, what the hell are you doing?!"
79,9,2,Eric Cartman,"[stops and thinks through what he just heard, then turns around] Oh Jesus, not you guys? [approaches Stan and checks him out] What happened? Were you bit? Did you eat their brownies? DID YOU EAT THEIR BROWNIES?!"
80,9,2,Stan Marsh,[alarmed] NO!
81,9,2,Eric Cartman,"Listen, you're my friends, but if you've been compromised, I'll have no problem taking you out! I'll expect the same from you. [the hippie that wore the guitar over his shoulder approaches the boys]"
82,9,2,Man 1,"What is your problem? Get lost, little Eichmann. [Cartman sprays mace on him and he cries out in pain]"
83,9,2,Woman 2,Oh my God!
84,9,2,Man 2,What the hell are you doing?! [a police car pulls up in the background and Officer Barbrady steps out of the car. He comes for Eric]
85,9,2,Eric Cartman,Everybody get in a single-file line!
86,9,2,Officer Barbrady,There you are!
87,9,2,Eric Cartman,"Ah, Officer Barbrady, you're just in time. These college know-it-all hippies were setting up for a music festival, just as I predicted."
88,9,2,Officer Barbrady,"Eric Cartman, you are under arrest."
89,9,2,Eric Cartman,What?
90,9,2,Officer Barbrady,I was just over at your house and freed sixty-three people you had locked in your basement.
91,9,2,Eric Cartman,"You let them out?! Jesus, we have to find them!"
92,9,2,Officer Barbrady,"Oh no, you're coming downtown! [hauls Cartman away to the police cruiser]"
93,9,2,Eric Cartman,"No! No, we have to stop them! You know how we-?! We gotta stop them! Hebbiaaay! [Barbrady puts him in the passenger seat, then gets into the driver's seat and peels away]"
94,9,2,Driver,Who was that?
95,9,2,Eric Cartman,What did I do?!
96,9,2,Officer Barbrady,You can't kidnap people and lock them in your basement.
97,9,2,Eric Cartman,"They're not people, they're HIPPIES!"
98,9,2,Mayor McDaniels,Is this problem under control?
99,9,2,Officer Barbrady,"I handled it, Mayor. Gee whiz."
100,9,2,Eric Cartman,"[walks to his cell door] Mayor! Mayor, I confirmed the data! The hippies are going to have a massive jam band concert!"
101,9,2,Mayor McDaniels,I know. I signed the permit.
102,9,2,Eric Cartman,"[steps back, stunned] You... You what?"
103,9,2,Mayor McDaniels,"I signed a permit allowing them to have their concert here. Their little ""festival"" should pump some money into our economy."
104,9,2,Eric Cartman,They're hippies! They don't HAVE any money! Does the city council know about this?!
105,9,2,Mayor McDaniels,They don't have to know. I can sign whatever permit I want!
106,9,2,Eric Cartman,You just SOLD OUT OUR TOWN! [Cartman snaps]
107,9,2,Mayor McDaniels,That kid really needs some psychiatric help.
108,9,2,Officer Barbrady,Yeah.
109,9,2,Mayor McDaniels,"All right, let's go."
110,9,2,Eric Cartman,"[quickly composes himself] How much money is enough, Mayor?! How many people's lives it is all worth?! God damned hippy!"
111,9,2,Announcer,This is a South Park News special report! [a crowd scene is shown beside the anchorman]
112,9,2,Anchorman,"Thousands of people have descended on South Park for a hippie music jam festival. The event is said to be the largest such gathering in the history of man. [the crowd scene fills the screen and the MC comes up to the main mic. The stage is set up solidly, with speakers ]"
113,9,2,MC,"All right, welcome to Hippie Jam Fest 2005! [the crowd raises a cheer] Sooo great to see sooo many people turn out to make an impact on on the world! [more cheering follows]"
114,9,2,Stan Marsh,Yeah!
115,9,2,Kyle Broflovski,You said it!
116,9,2,MC,"For too long, the corporations have bled the world of its love and resources! It is time for us to get to work and make the world a better place! And we're gonna start right now. [launches into a jam with his band. The college hippies are in the audience]"
117,9,2,Man 1,"[coughs] Oh man, I can't wait to see the look on those little Eichmann's faces when they hear this crunchy groove. [goes back to smoking pot]"
118,9,2,Randy Marsh,"Sharon, have, have you seen Stan?"
119,9,2,Sharon Marsh,He went with his friends to that music festival.
120,9,2,Randy Marsh,"Oh, Jesus, what has gotten into that kid?!"
121,9,2,Sharon Marsh,"Now, Randy, we were the same way once, too. Don't forget that we were both considered hippies back in the '60s."
122,9,2,Randy Marsh,"Yeah, but when we did it we actually stood for something. I mean, remember Woodstock, Sharon? We actually did something there."
123,9,2,Sharon Marsh,"You ate too much acid, man! [she resumes dancing and slips onto the vomit, face up. Randy pounces on her and starts banging her, sort of. They still have their clothes on.]"
124,9,2,Sharon Marsh,...Oh my God. Our son is with those people.
125,9,2,Randy Marsh,[panics] S-stan. STAAAN!
126,9,2,Announcer,This is South Park News!
127,9,2,Anchorman,Fear and horror in South Park today as the music festival continues to grow. [live footage is shown] They're arriving in droves and apparently no end is in sight.
128,9,2,Reporter,"Tom, the crowd just keeps getting bigger and the town is literally bursting at the seams. We don't know where this music festival came from, but, it's very close to consuming us all."
129,9,2,Linda Stotch,"Steven, what do we do?"
130,9,2,Randy Marsh,"[frantic] Stan?! Stan?! I need to get through, please! [Jimbo approaches him]"
131,9,2,Jimbo Kern,"[restrains Randy] Randy! Randy, you've got to get out of here! If they just trample this park, we'll be trapped! It's too dangerous!"
132,9,2,Randy Marsh,My son is in there! Duh-uh! [breaks away from Jimbo and disappears among the hippies. He reaches a clearing] Stan?! [the marijuana smoke is too much for him. He coughs harshly] Stan! Stan!
133,9,2,Male hippie,"Hey, chill man. It's all good."
134,9,2,Female hippie,Have some water laced with acid.
135,9,2,Randy Marsh,"Sta-ogh. Ugh! [he falls to the ground gagging, then gets into a fetal position and passes out]"
136,9,2,Mayor McDaniels,What have I done?
137,9,2,MC,"Yeah, South Park is now the hippie capital of the world! [a loud cheer rises from the crowd. The Mayor raises her right arm. In her hand is gun. She points it at her temple. the camera moves to the right, the gun goes off, and bits of brain, skull, and blood hit the wall to the right. Her body is heard dropping to the floor]"
138,9,2,Mr Mackey,"Uh huh hi Eric, uh, how's it goin'?"
139,9,2,Eric Cartman,"[gets off his bed] Great, I love crapping in a toilet with no rim on it."
140,9,2,Randy Marsh,"Eric, you were right. About the hippies. Could you... get rid of them for us now?"
141,9,2,Eric Cartman,[angered] Let me guess: they've started a hippie jam band music festival.
142,9,2,Sheila Broflovski,"We we need to take care of them, Eric! They're out of control!"
143,9,2,Eric Cartman,[a bit resentful] Forget it. [turns his back on them and walks back to his bed]
144,9,2,Randy Marsh,Please. Some of our kids are in there. We should have listened to you earlier.
145,9,2,Chef,Yeah. We apologize.
146,9,2,Jimbo Kern,Please. Don't let them ruin our town.
147,9,2,Eric Cartman,"It's too late! Even if I did agree to help, there's too many of them now!"
148,9,2,Mr Mackey,"We know you can do it, Eric. You're smart. Wha- why you're the smartest kid in school, m'kay?"
149,9,2,Randy Marsh,"We're just asking you to try. The whole town even got together and, and baked you a cake. [Sheila presents a cake, and Randy helps out. The cake says Eric on it]"
150,9,2,Eric Cartman,[turns away again] Don't think that you can buy me with presents! ...Unless of course it's the new Tonka radio-controlled play bulldozer.
151,9,2,Randy Marsh,[thinks a moment] It's yours.
152,9,2,Eric Cartman,I want the batteries for it too. And I get to drive it around in the school parking lot.
153,9,2,Principal Victoria,Fine.
154,9,2,Jimbo Kern,Anything else?
155,9,2,Eric Cartman,Yes. [turns around] Kyle doesn't get to have one! Ever! And he has to watch me drive mine around the school parking lot and get super-jealous!
156,9,2,Sheila Broflovski,"Well, we can promise not to buy one for Kyle, but we we can't make him watch you play th- [Rand nudges her hard] Oh yes! Fine! We'll force Kyle to watch you."
157,9,2,Eric Cartman,"All right, fine. But now listen up and listen good! I've never tried to get rid of this many hippies before, so I'm gonna need every resource this town has! And even if I don't succeed, and it's a million-to-one shot that I will, I still get the Tonka radio-controlled bulldozer and get to play with it in the school parking lot where Kyle has to watch me and get super-jealous because he doesn't have one! Are we clear?! [The adults just look back at him]"
158,9,2,Driver,"Wow, this band is so crunchy. Dude, I need more weed."
159,9,2,Stan Marsh,So it seems like we have enough people now. When do we start taking down the corporations?
160,9,2,Man 1,"[take a deep drag from his joint] Yeah man, the corporations. Right now they're raping the world for money!"
161,9,2,Kyle Broflovski,"Yeah, so, where are they. Let's go get 'em."
162,9,2,Man 2,Right now we're proving we don't need corporations. We don't need money. This can become a commune where everyone just helps each other.
163,9,2,Man 1,"Yeah, we'll have one guy who like, who like, makes bread. A-and one guy who like, l-looks out for other people's safety."
164,9,2,Stan Marsh,You mean like a baker and a cop?
165,9,2,Man 2,"No no, can't you imagine a place where people live together and like, provide services for each other in exchange for their services?"
166,9,2,Kyle Broflovski,"Yeah, it's called a town."
167,9,2,Driver,"You kids just haven't been to college yet. But just you wait, this thing is about to get HUGE."
168,9,2,Eric Cartman,"All right, everyone listen up! The hippie jam band festival is now fourteen miles in diameter and five hundred thousand hippies thick."
169,9,2,Randy Marsh,[closes his eyes] My God...
170,9,2,Eric Cartman,"In less than three days, all of South Park will be completely consumed. My only hope is to fight our way to the center of the crowd, and reach the heart, here. [points to the stage] If we can reach the stage, we can upload this Slayer CD into their music system. [shows off a CD-R of Slayer music] Hippies can't stand death metal. If everything works, they should disperse just before they consume us all."
171,9,2,Jimbo Kern,"Nice plan, kid, except there's one giant flaw. That hippie crowd is massive! How the hell are we supposed to get through it and reach the stage?"
172,9,2,Eric Cartman,We drill. [flips the page and a blueprint appears.] I've designed a vehicle that can bore its way through even the densest hippie crowd. They pilots inside will be safe from the pot smoke and the crappy music outside.
173,9,2,Steven Stotch,Yuh... actually suggesting that somebody drives right into the heart of that mob? It's a suicide mission!
174,9,2,Eric Cartman,"Not just somebody. I need a complete team to operate this vehicle. Along with me I'm gonna need a scientist, an engineer, and of course, a black person who can sacrifice himself in case something goes wrong."
175,9,2,Randy Marsh,I'm the... only scientist in town.
176,9,2,Linda Stotch,I'm your engineer.
177,9,2,Steven Stotch,"Honey, no!"
178,9,2,Linda Stotch,"I have to do it, Steven."
179,9,2,Eric Cartman,"All right, then we just need a black person who can sacrifice himself in case something goes wrong. [he looks around, panning by Chef once] Lessee, anyone would do, anyone who meets the qualifications, let's see... [his gaze passes Chef again] Oh, I know. How about- [his gaze falls upon Chef and stays there]"
180,9,2,Chef,"Yeah, yeah! I get it! Fine!"
181,9,2,Steven Stotch,I I can't believe we're actually listening to this. This is a crazy plan!
182,9,2,Randy Marsh,"You got a better ides, Steven?! Dammit, my son is in there!"
183,9,2,Eric Cartman,"There's no more time for ideas! We have to have this vehicle up and operational in less than three days! Look, it's a long shot! But it's also the only shot we- [his face is distorted. Moments later he sneezes and his face is normal again.] got."
184,9,2,Reporter,"Tom, I'm standing in South Park, Colorado, where a desperate attempt to save the town is underway. Some call it a suicide mission, but the heroic men and women of the hippie digger may be our only hope of survival. [Cartman's team enters through the doors of Bay 2]"
185,9,2,Randy Marsh,"Well I... guess this is it, Sharon."
186,9,2,Sharon Marsh,"Please, save our boy, Randy."
187,9,2,Linda Stotch,"Butters, if anything happens to Mommy, I, I want you to be a good boy."
188,9,2,Butters Stotch,"Ah I will, Mom."
189,9,2,Chef,"[with two ladies crying on his shoulders] Now, now, don't cry, ladies. Everything's gonna be fine."
190,9,2,Eric Cartman,"I... don't want you to worry about me, Clyde Frog. [his plush toy sits on a chair] Hey! You're the best stuffed animal I've ever had. [smiles, wipes a tear from his eye, and joins the rest of the crew into the hippie digger. They turn to wave at the townsfolk, who cheer and wave back. Some people take pictures]"
191,9,2,Sheila Broflovski,Look out for yourselves!
192,9,2,Mrs Garrison,Godspeed! [the crew finally enters the digger and closes the door]
193,9,2,Eric Cartman,Primary engine running?
194,9,2,Randy Marsh,Check.
195,9,2,Eric Cartman,Navigation systems?
196,9,2,Linda Stotch,Online
197,9,2,Eric Cartman,"Let's punch this baby. [the digger rolls off its platform] We're coming up on the outer perimeter of the hippies. Hang on. [the digger lunges into the crowd, tossing hippies left and right, maybe killing a few in the process. Inside, the crew is jostled about] Reaching hippie crowd. Hull status?"
198,9,2,Randy Marsh,Vehicle shell holding! [the digger continues clearing a path towards the stage]
199,9,2,Jimbo Kern,They're in!
200,9,2,Townsfolk,"All right! All right, yeah! We did it!"
201,9,2,Mayor McDaniels,"[appears with a bandage around her head] All right, people, let's save it! [blood stains are seen on the bandage over both temples. The suicide attempt failed] They still have a long way to go!"
202,9,2,Stan Marsh,"Alright, I can't take it anymore! I'm getting on that stage!"
203,9,2,Kyle Broflovski,You're doing what?
204,9,2,Guard,"[an old hippie] Hey, you can't go up there. Hoohoo, woo! [smokes his joint. The digger lurches on. A long shot shows the path the digger is taking]"
205,9,2,Eric Cartman,Switching to secondary fuel line. [warning lights begin to flash and warning sounds are heard] What's that?
206,9,2,Randy Marsh,The drill is getting too hot from all the hippies. [the digger stalls and dies]
207,9,2,Mayor McDaniels,What's happened?
208,9,2,Mr Mackey,"They, they s- they stopped. Something's wrong."
209,9,2,Steven Stotch,Jesus... they're dead in the water. [no motion from the digger.] '
210,9,2,Stan Marsh,"Uh, excuse me. Excuse me, can I have your attention please? What are we doing? [the crowd quiets down] It's been nine days! Doesn't it seem like we should accomplish something?"
211,9,2,A hippie,We're using the power of rock and roll to change the world! Woo! [the crowd cheers]
212,9,2,Stan Marsh,"Maybe instead of complaining about corporations being selfish, we should look at ourselves. I mean, is there anything more selfish than doing nothing but getting high and listening to music all day long?"
213,9,2,Singer,He's right. It's time for all of us to focus our energy and get this hippie jam into full swing. [the band starts up again. They missed his point entirely. Stan just turns right and walks away]
214,9,2,Eric Cartman,"Come on, come on!"
215,9,2,Linda Stotch,It's useless. The main power line has been shut down.
216,9,2,Randy Marsh,Somebody's gonna have to go outside and activate the backup boosters.
217,9,2,Eric Cartman,"No, Chef, I'm not gonna let you go out there!"
218,9,2,Chef,...I didn't volunteer!
219,9,2,Eric Cartman,"...All right, fine Chef, go!"
220,9,2,Chef,"...Aw dammit! [rises from his seat and opens the digger door, facing an atmosphere think with marijuana smoke. He climbs down, coughing pretty hard]"
221,9,2,Mayor McDaniels,That's it. We're going to Plan B. Nuke the crowd!
222,9,2,Steven Stotch,God dammit no! Y-you have to give them more time!
223,9,2,Stan Marsh,"Dude, these people have no idea what's going on. Let's get out of here."
224,9,2,Kyle Broflovski,We can't. Kenny just checked. There's a wall of people like seven miles thick behind us.
225,9,2,Stan Marsh,"What? You mean, we're stuck here listening to this crap? [the stage is shown. All of a sudden the digger smashes into it, stopping the festival in its tracks. The crowd looks towards the stage]"
226,9,2,Man 2,"Hey, what happened to the tunes, man?"
227,9,2,Man 1,More tunes. More tunes! [the digger's door opens and the crew steps out]
228,9,2,Linda Stotch,"We made it, We made it!"
229,9,2,Eric Cartman,Hit the PA system NOW! [the crew goes over to it] Put me in the main line! [Randy turns and shoves an unconscious man at the controls off and gathers some cords]
230,9,2,Randy Marsh,Which cord is it?
231,9,2,Eric Cartman,"You're the scientist, jackass!"
232,9,2,Randy Marsh,I'm a geologist!
233,9,2,Linda Stotch,We don't have time to argue! They're gonna nuke us!
234,9,2,Randy Marsh,Nyugh!
235,9,2,Eric Cartman,"Put them in my laptop! [Randy connects one of the cords to the laptop. Cartman selects a song from the Slayer CD he put in the CD-ROM drive: ""Raining Blood"" He clicks ""Play"" and the song blasts forth from the stage speakers. The crowd listens for a while, then begins to disperse.]"
236,9,2,A hippie,"Oh man, not cool."
237,9,2,Hippie 3,[covers his hears and walks off] This music is so angry.
238,9,2,Man 2,This is killing my buzz.
239,9,2,Man 1,Let's bail on this whole angry scene. [the college hippies move off]
240,9,2,Randy Marsh,It's working!
241,9,2,Linda Stotch,What?
242,9,2,Randy Marsh,"It's, it's working!"
243,9,2,Mrs Garrison,We did it! We did it! [the townsfolk cheer and hug each other]
244,9,2,Stan Marsh,Dad!
245,9,2,Randy Marsh,"Stan! [they run up to each other and hug. Nearby, Chef comes to and sits up]"
246,9,2,Chef,"I'm alive! [Kyle walks around aimlessly, but Cartman spots him]"
247,9,2,Eric Cartman,"Hold it right there, Kyle! [Cartman has a small dagger in its sheath. He pulls it out]"
248,9,2,Kyle Broflovski,"Whoa, Cartman. We aren't gonna be hippies anymore. Y-you don't have to kill us."
249,9,2,Eric Cartman,Kill you? Oh no. I have much bigger plans for you now.
250,9,2,Eric Cartman,"Hoho! Aw man, this is awesome! Weeeee! [offers the remote control] Oh here, Kyle, you wanna play with it a little while. [Kyle rises and takes a few steps, but Cartman withdraws the offer] Oh, psych! You don't get to! Hehe. Oh, check it out! Cooool!"


DB,ID,TI,AU,TY,PY,JO,VL,IS,SP,EP,KW,AB,UR,DO,N1
Embase,ovid00001,""" In the driver's seat"" : The Health Sector Strategic Master Plan as an instrument for aid coordination in Mongolia.",Ulikpan A.; Narula I.; Malik A.; Hill P.,Article,,,,,,,,"In 2005, the Ministry of Health (MoH) in Mongolia initiated the process of developing its Health Sector Strategic Master Plan (HSSMP), using a wide-ranging consultative process, driven by the MoH, and requiring participation from all levels of health facilities, other ministries, donor agencies and NGOs. Among other objectives, the MoH sought to coordinate the disparate inputs from key donors through the HSSMP, aligning them with the Plan's structure. This research explores the extent to which the HSSMP process served as a mechanism for effective aid coordination while promoting ownership and capacity building and the lessons learned for the wider international development community. The study is based on document review, key-informant interviews and authors' experience and participation in the MoH planning processes. The HSSMP process improved alignment and harmonisation. It enabled a better local understanding of the benefits of aid coordination, and the recognition that aid coordination as not only a mere administrative task, but a strategic step towards comprehensive management of both domestic and external resources. The process was not challenge free; the fractious political environment, the frequent turnover of key MoH staff, the resistance of some donors towards MoH scrutiny over their programmes and the dismantling of the central coordination and return of seconded staff following completion of the HSSMP, has slowed the pace of reform. Despite the challenges, the approach resulted in positive outcomes in the areas of ownership and better aid coordination, with HSSMP development emphasising ownership and capacity building. This contrasted with the usual outcomes focus, and neglect of the capacity building learning processes and structural and policy changes needed to ensure sustainable change. The largest and most influential programmes in the health sector are now largely aligned with HSSMP strategies, enabling the MoH to utilize these opportunities to optimise the HSSMP outcomes. The lessons for Ministries of Health in similar Post-Soviet countries--or other emerging economies where government capacity and local policy processes are relatively strong--are clear: the development of solid governance and technical infrastructure in terms of planning and evaluation provide a solid structure for donor coordination and insure against local political change. ? 2014 Ulikpan et al.; licensee BioMed Central Ltd.",,,"Globalization and Health. 10 (1) (no pagination), 2014. Article Number: 23. Date of Publication: 03 Apr 2014."
Ovid MEDLINE(R),ovid00002,"""A short trauma course for physicians in a resource-limited setting: Is low-cost simulation effective?"".",Pringle K; Mackey JM; Modi P; Janeway H; Romero T; Meynard F; Perez H; Herrera R; Bendana M; Labora A; Ruskis J; Foggle J; Partridge R; Levine AC,Article,2015.0,,,,,,Global emergency medicine; Medical education; Nicaragua; Simulation; Trauma,"INTRODUCTION: Morbidity and mortality from intentional and unintentional injury accounts for a high burden of disease in low- and middle-income countries. In addition to prevention measures, interventions that increase healthcare capacity to manage injuries may be an effective way to decrease morbidity and mortality. A trauma curriculum tailored to low-resource settings was implemented in Managua, Nicaragua utilising traditional didactic methods and novel low-cost simulation methods. Knowledge gain in attending and senior residents was subsequently assessed by using pre- and post-written tests, and by scoring pre- and post-simulation scenarios.;MATERIALS AND METHODS: A 5-day trauma course was designed for Nicaraguan attending and senior resident physicians who practice at six hospitals in Managua, Nicaragua. On days 1 and 5, participants underwent pre- and post-training evaluations consisting of a 26-question written exam and 2 simulation cases. The written exam questions and simulations were randomly assigned so that no questions or cases were repeated. The Wilcoxon signed-rank test was used to compare pre- and post-training differences in the written exam, and the percentage of critical actions completed in simulations. Time to critical actions was also analyzed using descriptive statistics.;RESULTS: A total of 33 participants attended the course, including 18 (55%) attending and 15 (45%) resident physicians, with a 97% completion rate. After the course, overall written examination scores improved 26.3% with positive mean increase of 15.4% (p<0.001). Overall, simulation scores based on the number of critical actions completed improved by 91.4% with a positive mean increase of 33.67 (p<0.001). The time to critical action for completion of the primary survey and cervical spine immobilisation was reduced by 55.9% and 46.6% respectively.;CONCLUSIONS: A considerable improvement in participants' knowledge of trauma concepts was demonstrated by statistically significant differences in both pre- and post-course written assessments and simulation exercises. The participants showed greatest improvement in trauma simulation scenarios, in which they learned, and subsequently demonstrated, a standardised approach to assessing and managing trauma patients. Low-cost simulation can be a valuable and effective education tool in low- and middle-income countries.;Copyright ? 2015 Elsevier Ltd. All rights reserved.",,,"Injury. 46(9):1796-800, 2015 Sep"
ERIC,ovid00003,"""Adult Education and Community Development."" Bulletin of CDCC Project No. 9.",,Article,1984.0,,,,,,,"This document contains reports of the members of three committees of the Council of Europe who made on-site visits to experimental adult education and community development projects throughout Europe in 1982 and 1983. The 14 reports describing the projects cover the following topics: (1) National Federation of Women's Institutes (United Kingdom); (2) the experiment conducted by the Church of Kurhessen Waldeck (Federal Republic of Germany); (3) the Danish experiment (Silkeborg); (4) the Padasjoki experiment (Finland); (5) the Sicilian experiment (Italy); (6) the Braga experiment (Portugal); (7) the Coria experiment (Spain); (8) the experiment of the ""Lia Romantscha"" (Switzerland); (9) the Twenthe experiment (The Netherlands); (10) the experiment of the ""FUNOC"" (Charleroi, Belgium); (11) the Norwegian experiment; (12) the Ankara experiment (Turkey); (13) the experiment ""Idee Vosges"" (Remiremont, France); and (14) the Landskrona experiment (Sweden). A list of the documents generated by the study groups is included. (KC)",,,New Trends. n5 Sep 1984
ERIC,ovid00004,"""Anything Can Happen in a Story--You Can Even Meet a Baboon Shopping in Town"": Authors Encouraging Children as Writers.","Mhone, Yvonne W",Article,1992.0,,,,,,,"A writing workshop held during a school holiday in an urban center in Southern Africa illustrated the premise that writing experiences with literary patrons can result in benefits for young authors. The workshop was planned with the purpose of encouraging children to write in a setting that emphasized the establishment of a children's library, a related literature-based listening program and a community approach to the sharing of ideas (with experienced writers, group leaders, parents, older children, and peer groups). A multi-age group of primary and early secondary school children (16 in all) participated in the 3-week workshop. Specific workshop activities included storytelling, modeling, revising, editing, learning audience awareness, ""languaging,"" i.e., becoming aware of overused words and hackneyed phrases and being alert to appropriate substitutes; and publishing, i.e., making permanent ""hard-cover"" books out of their own selected writings. The group conferences exerted a positive influence and as a result a confident outlook about reading and writing seemed to emerge. Parents indicated that they saw their children enjoying reading and writing. Children said that they read to try to understand the characters and ""other things."" They also read to look at the illustrations in the stories and to just enjoy a good story. By asking experienced writers to join the team of adult leaders, the children were not only given opportunities to write and learn how their writing unfolds but also to communicate to real audiences (audiences which included professional writers). (Figures representing a sample cluster, guidelines for editing or revising, student and parent inventories, and a sample ""diploma"" for workshop participants are included; 25 references are attached.) (RS)",,,
Embase,ovid00005,"""APEC blue""-The effects and implications of joint pollution prevention and control program.",Wang H.; Zhao L.; Xie Y.; Hu Q.,Article,,,,,,,,"To ensure good air quality in Beijing during Asia-Pacific Economic Cooperation (APEC) China 2014, Beijing and its neighboring five provinces and the associated cities were combined under the Joint Prevention and Control of Atmospheric Pollution (JPCAP) program, which implemented rigorous cooperative emission reduction measures. The program was a unique and large-scale artificial experiment that showed that such measures can achieve excellent results, and it led to the popular ""APEC blue"" catchphrase (i.e., Beijing's skies became blue as pollution levels decreased). This artificial experiment provided the means to effectively conduct JPCAP strategies in the future. Accordingly, our research focused on the characteristics of the six primary pollutants in Beijing. We found that the JPCAP measures directly reduced concentrations of all pollutants except O<inf>3</inf>. Through correlation analysis, we found that the band distribution of the cities with strong correlations in PM<inf>2.5</inf> and PM<inf>10</inf> concentrations was affected by wind conditions. Therefore, JPCAP measures should account for specific seasonal and climatic conditions. Based on cluster analysis using the results from the correlation analysis, we divided 13 cities within a 300-km radius of Beijing into different groups according to the similarity of their PM<inf>2.5</inf> and PM<inf>10</inf> correlation coefficients. For JPCAP measures relevant to PM<inf>2.5</inf> and PM<inf>10</inf>, we found differences in the degrees of collaboration among cities. Therefore, depending upon the pollutant type, the JPCAP strategy should account for the cities involved, the scope of the core area, and the optimal cities to involve in the collaborative efforts based on cost-effectiveness and collaborative difficulty among the involved cities. Copyright ? 2016 Elsevier B.V.",,,"Science of the Total Environment. 553 (pp 429-438), 2016. Date of Publication: May 15, 2016."
ERIC,ovid00006,"""Aprender a Convivir."" A Prevention Program for Improving Social Competence in Three-to Seven-Year-Olds","Alba, Guadalupe; Justicia-Arraez, Ana; Pichardo, M Carmen; Justicia-Justicia, Fernando",Article,2013.0,,,,,,,"Behavior problems are often observed in classrooms. The age at which problems appears is increasingly younger, and there are no interventions that ensure a reduction in such behavior problems among school age children. Research and previous evidence show the importance of social competence in this kind of prevention. Working with preschool and primary students must be the main objective, because social competence is a protective factor against behavior problems. In response to these social and educational problems, American and European countries have begun to include universal prevention programs in their curriculum, the ensure the learning of social competence at school. As an example, the pioneering program ""Aprender a Convivir"" [Learn to Live Together] can be considered a preventive intervention that encourages the innovative and optimal development of prosocial behavior in three- to seven year-old children. Its main contents are: rules, feelings and emotions, empathy, communication skills, interpersonal skills, assertiveness and problem solving skills. The framework focuses on increasing social competence and decreasing behavior problems, with the long term results of preventing antisocial behavior. The present contribution aims to first show the importance of working on social competence at school, and second, to present the ""Aprender a Convivir"" program. This program has been implemented in cities of Spain (Granada, Zaragoza), and in other Spanish-speaking countries (Bolivia, Dominican Republic), showing significant differences in the growth of social competence and the reduction of behavior problems. (As Provided)",,,Electronic Journal of Research in Educational Psychology. v11 n3 p883-904 Dec 2013
ERIC,ovid00007,"""BELTEK"" Project for the Training and Employability of Women in Turkey","Yavuz, Erisen; Nadir, Celikoz; Mehmet, Sahin; Kurtkan, Kapicioglu M Osman; Sait, Atas; Cemal, Akyol; Cagla, Girgin",Article,2010.0,,,,,,,"This is a case study based on BELTEK, which is a training organisation under Ankara metropolitan Municipality in Turkey. BELTEK is one of the initiatives aiming to train women and help to boost their employability. In this descriptive study, the goals, structure, training activities for the training and employability of women are put under discussion so that this study, based on BELTEK, can bring out new suggestions and innovations addressing to women as a disadvantageous group in the lifelong learning process. (As Provided)",,,Education. v130 n4 p666-673 Sum 2010
Embase,ovid00008,"""Body packers"" in Israel: A case series.",Markovits N.; Kurnik D.; Halkin H.; Guranda L.; Cohen A.; Katz M.; Olchovsky D.; Mayan H.; Loebstein R.,Article,,,,,,,,"Background: ""Body packers"" swallow multiple packets filled with illicit drugs, mainly cocaine, in order to smuggle them across international borders. In recent years, an increasing number of body packers have been hospitalized after their detention by the police upon arrival in Israel. Objectives: To characterize the clinical features and outcomes of body packers hospitalized at the Sheba Medical Center. Methods: We conducted a retrospective case series of body packers hospitalized between January 2010 and October 2012 in our medical center. Electronic medical records and imaging files were reviewed to extract clinical, laboratory and radiological data as well as details on medical treatments. Results: We identified 23 body packers (mean age 38 +/- 10 years), 20 of whom smuggled cocaine from South America. The number of packets transported ranged from 1 to 242 (median 42) and duration of hospitalization from 1 to 14 days (median 2). Two subjects required surgical intervention. All others were treated conservatively by polyethylene glycolelectrolyte lavage solution, laxatives, or watchful waiting. Ten patients underwent a urinary screen for illicit drugs, 7 of whom tested positive for cocaine and 2 for cannabinoids. Abdominal X-rays were performed in all patients at admission, and 14 had follow-up imaging, including abdominal CT scans without contrast media in 8. Conclusions: The main treatment goals for body packers are the rapid excretion of drug packets and early detection of complications, i.e., drug intoxication and bowel obstruction. We suggest the use of a structured treatment approach for the in-hospital management of body packers.",,,"Israel Medical Association Journal. 15 (10) (pp 639-645), 2013. Date of Publication: October 2013."
ERIC,ovid00009,"""Bringing Learning Closer to Home"": The Value and Impact of the Lisbon Strategy for Strengthening the Role of Local Learning Centres and Partnerships in South-Eastern Europe","Zarifis, George K",Article,2008.0,,,,,,,"This paper presents a comparative examination of four local learning centres that provide learning opportunities throughout life in Bulgaria, Cyprus, Greece and Turkey. The paper aims to assess some of the strengths and weaknesses of different types of local learning centres and partnerships in South-Eastern Europe--in line with the value and impact of the Lisbon strategy for developing multipurpose local learning centres for ""brining learning closer to home""--in order to draw some conclusions on how to promote greater collaboration and a culture of co-operation, in an area where a lifelong learning culture is still underdeveloped, compared with that in other parts of the European Union. (Contains 1 figure and 55 notes.) (As Provided)",,,International Journal of Lifelong Education. v27 n6 p641-657 Nov 2008
PsycINFO,ovid00010,"""Can the transtheoretical model motivate patients with coronary heart disease to exercise?"": Retracted. [References].","Zhu, Li-Xia; Ho, Shuk-Ching; Sit, Janet WH; He, Hong-Gu",Article,2015.0,Nursing & Health Sciences,17.0,1.0,143.0,,behavior; coronary heart disease; exercise; transtheoretical model; health education; China; Cardiovascular Disorders [3295]; Specialized Interventions [3350],"The preliminary effects of a transtheoretical model-based exercise stage-matched intervention on exercise behavior in sedentary patients with coronary heart disease were examined in this study. This was a pilot randomized, controlled trial. A total of 18 eligible patients with coronary heart disease were recruited and randomized to either a conventional group, a patient-education group, or an exercise stage-matched intervention group. Exercise behavior was measured by exercise stages of change, exercise self-efficacy, exercise decisional balance, and moderate-intensity exercise duration (min/week) at baseline and immediately after the eight week intervention.When compared to baseline, only patients in the exercise stage-matched intervention group demonstrated significant progress in the exercise stages of change, higher exercise self-efficacy, fewer exercise barriers, and longer duration of moderate-intensity exercise after the eight week intervention. A significant difference in the progress in the exercise stages of change was found among the three groups after the eight week intervention. The findings suggest that the transtheoretical model-based exercise stage-matched intervention has potentially-positive effects on motivating sedentary patients with coronary heart disease to engage in exercise. (PsycINFO Database Record (c) 2016 APA, all rights reserved)",,,"Nursing & Health Sciences. Vol.17(1), 2015, pp. 143."
PsycINFO,ovid00011,"""Class smoke-free"" pledge impacts on nicotine dependence in male adolescents: A cluster randomized controlled trial. [References].","Al-sheyab, Nihaya A; Alomari, Mahmoud A; Shah, Smita; Gallagher, Robyn",Article,2016.0,Journal of Substance Use,21.0,6.0,566.0,574.0,Adolescent; pledge; smoking; Drug & Alcohol Rehabilitation [3383]; Educational/Vocational Counseling & Student Services [3580],"Objective: To test the effectiveness of a school-based, peer-led smoking and asthma education program with an additional ""class smoke-free"" pledge on smoking-related knowledge and perception, nicotine dependence, and asthma control in male high school students in Jordan 4 months post-intervention. Methods: In this cluster-randomized controlled trial, four male schools in Irbid, Jordan, were randomly assigned to the intervention (n = 215) or comparison (n = 218) groups. Trained educators trained senior students from the four schools to be peer leaders (n = 53), who then taught peers in grades 7 and 8 (n = 433). The peer leaders in the intervention schools implemented the smoke-free pledge within the 7th and 8th graders, who voluntarily signed the pledge for 4 months. The comparison group received the same intervention components as the intervention group, minus the smoke-free pledge. Data were collected from students in grades 7 and 8 at baseline and 4 months post-intervention. Results: Students from the intervention group reported significant improvements in smoking-related knowledge and perception and lower nicotine dependence as compared to the comparison group. Improvement in asthma control was greater in nonsmokers versus smokers. Conclusions: Voluntary group commitment smoke-free through a pledge is an incentive to motivate adolescents to abstain from smoking. Using social influences approaches in schools is useful in countering current aggressive tobacco marketing campaigns in Arab youth. (PsycINFO Database Record (c) 2016 APA, all rights reserved)",,,"Journal of Substance Use. Vol.21(6), 2016, pp. 566-574."
ERIC,ovid00012,"""Class-Bucks"": A Motivational Tool to Encourage Active Student Participation during Lectures","de Jager, T",Article,2013.0,,,,,,,"The purpose of this study was to ascertain the influence of an extrinsic motivational tool, ""class-bucks,"" on the possibility of improving first year student-teachers' participation in active learning at Tshwane University of Technology in South Africa. Research participants (n=289) were divided into four classes and engaged in this study during the second and third semester of the course. During the second semester, the students in Class 1 and Class 2 were awarded with ""class-bucks"" for active participation in lectures, while Classes 3 and 4 were not awarded. Then, during the third semester, the students in Classes 3 and 4 were awarded, while those in Classes 1 and 2 were not. Semester test results and the number of instances of active participation during lectures were recorded and compared to formulate findings and recommendations. The results presented in this article will assist lecturers in valuing an extrinsic motivational tool, ""class-bucks,"" which can be used to encourage active student participation during lectures, thus contributing to the expansion of quality education and improving the student's ability to retain learning content for longer. (As Provided)",,,Africa Education Review. v10 n1 p18-31 2013


Center,ReferenceNumber,DateCreated,DaysOpen,Status,DateClosed,ImpactCategory,ErrorCode,RootCause,EmployeesInvolved,Description,AssociatedDeviationCAPANumber
35,d2020-123456,01-10-20,6,OPEN,,Minor,SHIPMENT-LABEL CODE INCORRECT,Unknown,"Jane Doe
Susan Smith
",On 01OCT20; Quality Assurance was informed of missing initials and date on Product Release Record.,Unknown
35,d2020-123457,02-10-20,5,OPEN,,Minor,INCOMPLETE/INCORRECT/MISSING RECORD EXCEPTION DOCUMENTATION,Unknown,"Rick Smith
",On 01OCT20; Report Collection Exception was missing.,Unknown
35,d2020-123458,02-10-20,5,OPEN,,Major,DEVIATION MGMT- TREND - MINOR DEVIATION RATE,Process Control,Facilities Management,"On 02Oct20 Quality Assurance discovered that for the month of September 2020, trending in Minor Deviations with 2.9% Minor Deviation Rate for the month.",20-05148
35,d2020-123459,05-10-20,2,OPEN,,Minor,DATA CHANGE- FOLLOW UP NOT PERFOMED WITHIN 7 DAYS,Unknown,"Jane Doe
",On 05Oct20 discovered did not document a weekly follow up within 7 days for Data Change.,Unknown
35,d2020-123460,05-10-20,2,OPEN,,Minor,SUPPLIES- INCORRECT SUPPLY INFORMATION ENTRY,Unknown,"John Doe
","On 05Oct20, discovered that on 03Oct20, a mistake violating SOP Receiving and Transferring of Supplies.",Unknown


source.id,source.name,author,title,description,url,urlToImage,publishedAt,content
techcrunch,TechCrunch,Natasha Mascarenhas,"Dear economy, creators aren’t fragile plants","Hello and welcome back to Equity, TechCrunch’s venture capital-focused podcast, where we unpack the numbers behind the headlines. For this week’s deep dive, Alex and Natasha brought on Alexis Gay, a former operator at Patreon who now makes her living as comed…",http://techcrunch.com/2021/06/30/dear-economy-creators-arent-fragile-plants/,https://techcrunch.com/wp-content/uploads/2020/07/equity-podcast-2019-phone.jpg?w=711,2021-06-30T14:00:19Z,"Hello and welcome back to Equity, TechCrunchs venture capital-focused podcast, where we unpack the numbers behind the headlines.
For this weeks deep dive, Alex and Natasha brought on Alexis Gay, a f… [+1775 chars]"
,New York Times,,Who is Hacking the U.S. Economy?,"In the past few weeks, cyberattacks have taken major industries hostage. Who are the perpetrators and why are the infiltrations becoming so common?",https://www.nytimes.com/2021/06/08/podcasts/the-daily/colonial-pipeline-jbs-ransomware-attacks.html,https://static01.nyt.com/images/2021/06/08/podcasts/08DAILY-pipeline/08DAILY-pipeline-facebookJumbo.jpg,2021-06-08T10:00:07Z,"Nicole Perlroth contributed reporting.
The Daily is made by Lisa Tobin, Rachel Quester, Lynsea Garrison, Annie Brown, Clare Toeniskoetter, Paige Cowett, Michael Simon Johnson, Brad Fisher, Larissa A… [+682 chars]"
,New York Times,David Leonhardt,The Specter of Inflation,Is it haunting the U.S. finance?,https://www.nytimes.com/2021/06/17/briefing/inflation-us-economy-covid-pandemic.html,https://static01.nyt.com/images/2021/06/17/lens/17ambriefing-promo/17ambriefing-inflation-facebookJumbo-v2.jpg,2021-06-17T10:30:22Z,"With excess saving they can afford more of everything, Jason Furman, a Harvard economist and former Obama administration official, wrote this week.
Although companies are increasing the supply of ma… [+2099 chars]"
techcrunch,TechCrunch,Ram Iyer,"As the economy reopens, startups are uniquely positioned to recruit talent","We are amidst a sprawling renegotiation between employers and employees as to the very nature of work, and no one has more leverage than skilled technologists, many of whom feel unmoored.",http://techcrunch.com/2021/06/15/as-the-economy-reopens-startups-are-uniquely-positioned-to-recruit-talent/,https://techcrunch.com/wp-content/uploads/2021/06/GettyImages-93550085.jpg?w=545,2021-06-15T15:50:07Z,"We are amidst a sprawling renegotiation between employers and employees as to the very nature of work, and no one has more leverage than skilled technologists many of whom feel unmoored from their cu… [+1659 chars]"
techcrunch,TechCrunch,Amanda Silberling,"A bank for the creator economy, Karat Financial raises $26M in Series A funding","The creator finance is changing the way that people earn a living, whether you’re an Instagram influencer or a freelance graphic designer. But traditional banks haven’t caught up. Take Alexandra Botez for example. The Stanford graduate earns six figures playi…",http://techcrunch.com/2021/07/01/a-bank-for-the-creator-economy-karat-raises-26m-in-series-a-funding/,https://techcrunch.com/wp-content/uploads/2021/06/Karat-Landing-Page_Mobile_1.2.jpg?w=400,2021-07-01T16:00:16Z,"The creator economy is changing the way that people earn a living, whether you’re an Instagram influencer or a freelance graphic designer. But traditional banks haven’t caught up.
Take Alexandra Bot… [+4712 chars]"
,New York Times,"Sabrina Tavernise, Claire Cain Miller, Quoctrung Bui and Robert Gebeloff",Why More American Women are Delaying Motherhood in their 20s,"The birthrate is falling for American women in their 20s, especially in places where the local finance is booming.",https://www.nytimes.com/2021/06/16/us/declining-birthrate-motherhood.html,https://static01.nyt.com/images/2021/06/14/us/14births-top1/14births-top1-facebookJumbo.jpg,2021-06-16T09:00:33Z,"The perceived price of having children has really increased since I first talked to women in the mid-1990s, said Kathryn Edin, a sociologist at Princeton University who has spent years writing about … [+1792 chars]"
techcrunch,TechCrunch,Annie Siebert,"The US should welcome refugees on humanitarian terms, not just economic ones","After experiencing hardship in their home countries, refugees have unparalleled drive to make a better life for themselves, their families and their communities -- which helps lift our entire finance.",http://techcrunch.com/2021/06/14/the-us-should-welcome-refugees-on-humanitarian-terms-not-just-economic-ones/,https://techcrunch.com/wp-content/uploads/2021/06/GettyImages-1162497947.jpg?w=711,2021-06-14T18:31:51Z,"In December 1991, about 20 days before the Soviet Union formally disintegrated, my family landed in San Francisco as religious refugees fleeing persecution. I was a 9-year-old kid who had just experi… [+5248 chars]"
,New York Times,Patrick McGeehan,New York and New Jersey Need an $11B Tunnel. Will Biden Make It Happen?,The transportation secretary said building a new rail link under the Hudson River is critical to the finance far beyond the region.,https://www.nytimes.com/2021/06/28/nyregion/gateway-tunnel-ny-nj.html,https://static01.nyt.com/images/2021/06/28/nyregion/28nyrails-1/merlin_190047198_022e6417-bb54-41c5-b361-bcdc339e0eac-facebookJumbo.jpg,2021-06-28T22:24:24Z,"New York and New Jersey have agreed to split the cost with the federal government, although each state will most likely borrow most of its share from the federal government and pay it back over decad… [+1750 chars]"
,New York Times,Neil Irwin,America Is Driving the Global Economy. When Does That Become a Problem?,New trade data suggests the outlook for the U.S. finance will depend in part on the rate of recovery of other nations.,https://www.nytimes.com/2021/06/08/upshot/pandemic-economy-trade.html,https://static01.nyt.com/images/2021/06/08/upshot/08up-trade/merlin_188260386_d6b47551-cad1-4bdd-8986-a893f1174ad7-facebookJumbo.jpg,2021-06-08T15:22:14Z,"In the math of global economics, a foreign tourist staying in the United States is essentially purchasing an American services export. Travel exports were only $18 billion in the first four months of… [+1785 chars]"
,New York Times,Andy Newman,How the Candidates for N.Y.C. Mayor Would Tackle Homelessness,"In the Democratic primary’s last days, and with New York’s finance starting to regain its footing, a chronic problem gains new urgency.",https://www.nytimes.com/2021/06/18/nyregion/ny-mayor-homelessness.html,https://static01.nyt.com/images/2021/06/17/nyregion/00nymayor-homeless1/00nymayor-homeless1-facebookJumbo.jpg,2021-06-18T09:00:26Z,"Expand the use of shelters that offer more privacy and have fewer rules.
So-called safe haven and stabilization shelters offer single-occupancy rooms and fewer rules and restrictions as to who quali… [+2275 chars]"
,New York Times,The New York Times,June Jobs Report Will Offer a Reading on Economic Momentum,"In today’s job’s report, economists expect payroll gains to top 700,000, an increase from the 559,000 announced for May. Here’s the latest on the finance.",https://www.nytimes.com/live/2021/07/02/business/economy-stock-market-news,https://static01.nyt.com/images/2021/07/02/business/02economy-briefing-jobs/02economy-briefing-jobs-facebookJumbo.jpg,2021-07-02T09:57:49Z,"The latest clues to the state of the nations economic recovery will come Friday morning when the Labor Department releases its June jobs report.Economists expect payroll gains to top 700,000, an incr… [+3074 chars]"
cnn,CNN,,Biden on jobs report: 'This is historic progress',"President Joe Biden speaks about the US finance adding 559,000 jobs in May, dropping the unemployment rate to 5.8%. CNN's Christine Romans breaks down the jobs report.",https://www.cnn.com/videos/business/2021/06/04/joe-biden-economy-sot-romans-nr-vpx.cnn,https://cdn.cnn.com/cnnnext/dam/assets/210604104621-01-biden-remarks-on-economy-0604-super-tease.jpg,2021-06-04T15:27:53Z,
techcrunch,TechCrunch,Mike Butcher,Australian ID verification startup OCR Labs raises $15M Series A to expand into UK/Turkey/Europe,"With the gig finance came the need for ID verification, thus startups like OnFido (raised $188.8 million) appeared, alongside several others. But this sector is by no means ‘done’ yet. Now, OCR Labs, which emerged from Australia, has announced a €12.5M / $15 …",http://techcrunch.com/2021/06/15/australian-id-verification-startup-ocr-labs-raises-15m-series-a-to-expand-into-uk-turkey-europe/,https://techcrunch.com/wp-content/uploads/2021/06/OCR-Labs_LtoR_Ronnie-Kessler-COO-Matthew-Adams-CTO-Co-Founder-and-Daniel-Aiello-CPO-Co-Founder-.jpg?w=601,2021-06-15T08:58:29Z,"With the gig economy came the need for ID verification, thus startups like OnFido (raised $188.8 million) appeared, alongside several others. But this sector is by no means done yet.
Now, OCR Labs, … [+2058 chars]"
techcrunch,TechCrunch,Ingrid Lunden,Home services platform Thumbtack raises 275Mona3.2B valuation to double down on home management,"On the heels of making an acquisition in December of home management startup Setter, Thumbtack — one of the pioneers in the home services gig finance — has raised a big round to double down on the model. The company has raised a fresh $275 million, money that…",http://techcrunch.com/2021/06/15/thumbtack-home-services/,https://techcrunch.com/wp-content/uploads/2015/05/shutterstock_116263732.jpg?w=604,2021-06-15T12:19:40Z,"On the heels of making an acquisition in December of home management startup Setter, Thumbtack — one of the pioneers in the home services gig economy — has raised a big round to double down on the mo… [+5627 chars]"
techcrunch,TechCrunch,Darrell Etherington,SkyWatch raises $17.2M for its Earth observation data platform,"Waterloo-based SkyWatch was among the first startups to recognize that the key to unlocking the real benefits of the space finance lay in making Earth observation data accessible and portable, and now the company has raised a $17.2 million Series B to help it…",http://techcrunch.com/2021/06/15/skywatch-raises-17-2m-for-its-earth-observation-data-platform/,https://techcrunch.com/wp-content/uploads/2020/10/GettyImages-1032650858.jpg?w=600,2021-06-15T14:24:00Z,"Waterloo-based SkyWatch was among the first startups to recognize that the key to unlocking the real benefits of the space economy lay in making Earth observation data accessible and portable, and no… [+3934 chars]"
techcrunch,TechCrunch,Lucas Matney,Creator tools startup Spore raises $1M to build closer bonds between influencers and their fans,"Few spaces have grown hotter in the past year than the creator finance has, but for all of the new tools available to those starting a podcast, newsletter or storefront, most players have been more focused on building out their own platform opportunity rather…",http://techcrunch.com/2021/06/24/creator-tools-startup-spore-raises-1m-to-build-closer-bonds-between-influencers-and-their-fans/,https://techcrunch.com/wp-content/uploads/2021/06/press_image_1.png?w=764,2021-06-24T15:12:18Z,"Few spaces have grown hotter in the past year than the creator economy has, but for all of the new tools available to those starting a podcast, newsletter or storefront, most players have been more f… [+2610 chars]"
techcrunch,TechCrunch,Tage Kene-Okafor,Egypt’s Minly raises $3.6M to connect celebrities and fans through personalized experiences,"In the past year, we’ve seen a growing trend of creators adopting digital and social media, not just as a supplement to their media presence but also as a cornerstone of their personal brand. The pandemic has surely accelerated creator finance trends. Many po…",http://techcrunch.com/2021/06/27/egypts-minly-raises-3-6m-to-connect-celebrities-and-fans-through-personalized-experiences/,https://techcrunch.com/wp-content/uploads/2021/06/20210627_105637.jpg?w=450,2021-06-27T10:12:00Z,"In the past year, we’ve seen a growing trend of creators adopting digital and social media, not just as a supplement to their media presence but also as a cornerstone of their personal brand.
The pa… [+5903 chars]"
cnn,CNN,"Julia Horowitz, CNN Business",Americans are still sitting on loads of stimulus cash,"As CEO of one of America's biggest banks, Bank of America's Brian Moynihan has unique insight into the health of the country's finance. And right now, what he's seeing is positive.",https://www.cnn.com/2021/06/07/investing/premarket-stocks-trading/index.html,https://cdn.cnn.com/cnnnext/dam/assets/210607073257-shoppers-washington-dc-restricted-super-tease.jpg,2021-06-07T12:12:23Z,"A version of this story first appeared in CNN Business' Before the Bell newsletter. Not a subscriber? You can sign up right here.
London (CNN Business)As CEO of one of America's biggest banks, Bank … [+5273 chars]"
cnn,CNN,,Parents facing hurdles returning to work,"As the finance reopens, parents are in a bind -- childcare centers have a shortage of workers, leaving the number of open slots lower than usual. CNN's Vanessa Yurkevich reports.",https://www.cnn.com/videos/business/2021/06/11/childcare-labor-shortage.cnnbusiness,https://cdn.cnn.com/cnnnext/dam/assets/210611120755-childcare-worker2-super-tease.jpg,2021-06-11T16:11:26Z,
,Gizmodo.com,Whitney Kimball,8 Money Toilets,"A ferocious bidding war over a misshapen chicken nugget concluded at $99,997 in the wee hours of Friday morning. Doesn’t seem weird at all, in a world where people are spending millions of dollars for blockchain tokens backed only by words. But wait, is this …",https://gizmodo.com/8-money-toilets-1847036893,"https://i.kinja-img.com/gawker-media/image/upload/c_fill,f_auto,fl_progressive,g_center,h_675,pg_1,q_80,w_1200/a528d73090abd2c91b536585aa942f8b.jpg",2021-06-04T22:20:00Z,"CryptoPunks represent the only historically relevant narrative upon which value could conceivably live for decades within an expanding catalogue raisonné, and Ill be damned if Im counting Jacks tweet… [+1096 chars]"


Category,Metric Name,Definition,Range of Time,Source,Aggregation Level,Comments,Documentation link
Economy,Per Capita Income,Per capita income (2018 inflation-adj dollars),2014-2018 5-year estimate,Census 2018 ACS,County,,https://www.census.gov/data/developers/data-sets/acs-5year.html
Economy,Meidan Household Income,Median household income (2018 inflation-adj dollars),2014-2018 5-year estimate,Census 2018 ACS,County,,https://www.census.gov/data/developers/data-sets/acs-5year.html
Economy,Unemployment Rate,Percent of Pop 16 years and over in the civilian labor force and unemployed,2014-2018 5-year estimate,Census 2018 ACS,County,,https://www.census.gov/data/developers/data-sets/acs-5year.html
Economy,Poverty Rate,Percentage of families and people whose income in the past 12 months is below the poverty level,2014-2018 5-year estimate,Census 2018 ACS,County,,https://www.census.gov/data/developers/data-sets/acs-5year.html
Social,Median Age,Median age (years),2014-2018 5-year estimate,Census 2018 ACS,County,,https://www.census.gov/data/developers/data-sets/acs-5year.html
Social,Bachelors and Higher,Percentage of population 25 years and over with an educational attainment of a Bachelor's degree or higher,2014-2018 5-year estimate,Census 2018 ACS,County,,https://www.census.gov/data/developers/data-sets/acs-5year.html
Social,Green Commuting %,"Percentage of workers who commute to work using 'green' methods divided by Green + Non-green methods
Green methods include: Walking, Public Transit, Carpooling. 
Non-green methods include: Drive alone
Excluded from calculation: Work from home, Other",2014-2018 5-year estimate,Census 2018 ACS,County,,https://www.census.gov/data/developers/data-sets/acs-5year.html
Social,Commute Time,Mean travel time to work (minutes) for workers 16 years and over,2014-2018 5-year estimate,Census 2018 ACS,County,,https://www.census.gov/data/developers/data-sets/acs-5year.html
Social,Political Lean,"How the county leans politically based on the 2016 election results. Calculated by subtracting % voted democrat from % voted republican. Categorization as follows: 
<2% = Toss-up
>2% and <= 10% = Lean Republican/Democrat
>10% = Solid Republican/Democrat",2016 Presidential Election,"MIT Election Data and Science Lab, Harvard Dataverse",County,"Alaska results are a statewide average, as they do report out retuls by their State House Districts, which cannot be rolled up into county-equivalent regions",https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VOQCHQ
Weather,Average Sunny Days,Average number of sunny days per year across the state,Aggregate data over decades,Current Results,State,,https://www.currentresults.com/Weather/US/average-annual-state-sunshine.php
Weather,Average Annual Temp,Average annual temperature across the state,Aggregate data over decades,Current Results,State,,https://www.currentresults.com/Weather/US/weather-averages-index.php
Weather,Average Winter Temp,Average winter temperature across the state,Aggregate data over decades,Current Results,State,,https://www.currentresults.com/Weather/US/weather-averages-index.php
Weather,Average Spring Temp,Average spring temperature across the state,Aggregate data over decades,Current Results,State,,https://www.currentresults.com/Weather/US/weather-averages-index.php
Weather,Average Summer Temp,Average summer temperature across the state,Aggregate data over decades,Current Results,State,,https://www.currentresults.com/Weather/US/weather-averages-index.php
Weather,Average Fall Temp,Average fall temperature across the state,Aggregate data over decades,Current Results,State,,https://www.currentresults.com/Weather/US/weather-averages-index.php
Population,Total Population,Estimate of total county population,2014-2018 5-year estimate,Census 2018 ACS,County,,https://www.census.gov/data/developers/data-sets/acs-5year.html
Population,Population Ins,"Count of people who moved into this county. Based on survey respondents answer to where they live now, and where they lived a year ago",2014-2018 5-year estimate,Census 2018 ACS,County,Intra-US movement only. Excludes PR & Intl movement,https://www.census.gov/data/developers/data-sets/acs-migration-flows.html
Population,Population Outs,"Count of people who moved out of this county. Based on survey respondents answer to where they live now, and where they lived a year ago",2014-2018 5-year estimate,Census 2018 ACS,County,Intra-US movement only. Excludes PR & Intl movement,https://www.census.gov/data/developers/data-sets/acs-migration-flows.html
Population,Population Net Movement,Population Ins - Population Outs,2014-2018 5-year estimate,Census 2018 ACS,County,Intra-US movement only. Excludes PR & Intl movement,https://www.census.gov/data/developers/data-sets/acs-migration-flows.html
Population,Net Movement as a % of pop,Population Net Movement / Total Population,2014-2018 5-year estimate,Census 2018 ACS,County,Intra-US movement only. Excludes PR & Intl movement,"https://www.census.gov/data/developers/data-sets/acs-migration-flows.html
https://www.census.gov/data/developers/data-sets/acs-5year.html"
Urban/Rural,Total Area (sq. mi.),Total Land & Water area in square miles,2018,2019 Gazetteer File,County,,https://www.census.gov/geographies/reference-files/time-series/geo/gazetteer-files.html
Urban/Rural,Population % Urban,Percentage of Population living in Urban areas,2010,Decentenial Census,County,"Within each county, areas are defined as Urban or Rural",https://www.census.gov/programs-surveys/geography/guidance/geo-areas/urban-rural/2010-urban-rural.html
Urban/Rural,Population % Rural,Percentage of Population living in Rural areas,2010,Decentenial Census,County,"Within each county, areas are defined as Urban or Rural",https://www.census.gov/programs-surveys/geography/guidance/geo-areas/urban-rural/2010-urban-rural.html
Urban/Rural,Area % Urban,Percentage of Area defined as Urban areas,2010,Decentenial Census,County,"Within each county, areas are defined as Urban or Rural",https://www.census.gov/programs-surveys/geography/guidance/geo-areas/urban-rural/2010-urban-rural.html
Urban/Rural,Area % Rural,Percentage of Area defined as Rural areas,2010,Decentenial Census,County,"Within each county, areas are defined as Urban or Rural",https://www.census.gov/programs-surveys/geography/guidance/geo-areas/urban-rural/2010-urban-rural.html
Urban/Rural,Population Density Urban,Population density of areas defined as Urban areas,2010,Decentenial Census,County,"Within each county, areas are defined as Urban or Rural",https://www.census.gov/programs-surveys/geography/guidance/geo-areas/urban-rural/2010-urban-rural.html
Urban/Rural,Population Density Rural,Population density of areas defined as Rural areas,2010,Decentenial Census,County,"Within each county, areas are defined as Urban or Rural",https://www.census.gov/programs-surveys/geography/guidance/geo-areas/urban-rural/2010-urban-rural.html
Real Estate,Housing % Occupied,Occupied housing units / Total housing units,2014-2018 5-year estimate,Census 2018 ACS,County,,https://www.census.gov/data/developers/data-sets/acs-5year.html
Real Estate,Housing % Vacancies,Vacant housing units / Total housing units,2014-2018 5-year estimate,Census 2018 ACS,County,,https://www.census.gov/data/developers/data-sets/acs-5year.html
Real Estate,Housing % Owned,Onwer occupied housing units / Occupied housing units,2014-2018 5-year estimate,Census 2018 ACS,County,,https://www.census.gov/data/developers/data-sets/acs-5year.html
Real Estate,Housing % Rented,Renter occupied housing units / Occupied housing units,2014-2018 5-year estimate,Census 2018 ACS,County,,https://www.census.gov/data/developers/data-sets/acs-5year.html
Similar Counties,Similar Counties,Top 5 similar counties based on the clustering algorithm performed. Visit the clustering page to view all similar counties,N/A,Market Maven,County,,N/A
Geography,FIPS Code,"Unique geographical identifier. First 2 digits represent the state code, Last 3 digits represent the county code",2019,https://www.census.gov/geographies/reference-files/2019/demo/popest/2019-fips.html,County,,https://www.census.gov/geographies/reference-files/2019/demo/popest/2019-fips.html
Geography,County,Census-defined county,2019,https://www.census.gov/geographies/reference-files/2019/demo/popest/2019-fips.html,County,,https://www.census.gov/geographies/reference-files/2019/demo/popest/2019-fips.html
Geography,State,Census-defined state,2019,https://www.census.gov/geographies/reference-files/2019/demo/popest/2019-fips.html,County,"Includes DC, excludes PR",https://www.census.gov/geographies/reference-files/2019/demo/popest/2019-fips.html
Geography,CSA,"Combined Statistical Area. Combination of the Metropolitan or Micropolitan Statistical Area, if a county is a part of one",Mar-20,https://www.census.gov/geographies/reference-files/time-series/demo/metro-micro/delineation-files.html,County,,https://www.census.gov/geographies/reference-files/time-series/demo/metro-micro/delineation-files.html
Geography,Division,Census-defined division,2019,https://www.census.gov/geographies/reference-files/2019/demo/popest/2019-fips.html,County,,https://www.census.gov/geographies/reference-files/2019/demo/popest/2019-fips.html
Geography,Region,Census-defined region,2019,https://www.census.gov/geographies/reference-files/2019/demo/popest/2019-fips.html,County,,https://www.census.gov/geographies/reference-files/2019/demo/popest/2019-fips.html


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Namespace,Type,NOF,NOM,NOP,NOPF,NOPM,LOC,WMC,NC,DIT,LCOM,Fan-Out,Fan-In,Fan-Out types,Fan-In types
AsyncFunctions,ArrayResizer,1,5,0,0,2,110,11,0,0,0,0,0,,
AsyncFunctions,ArrayResizerTest,0,2,0,0,2,21,4,0,0,-1,0,0,,
AsyncFunctions,AsyncTestAddIn,0,2,0,0,2,10,2,0,1,-1,0,0,,
AsyncFunctions,MyFunctions,0,2,0,0,2,11,2,0,0,-1,0,0,,
AsyncFunctions,RxTest,0,13,0,0,12,145,15,0,1,-1,2,0,ExcelDna.Integration.RxExcel.RxExcel' ExcelDna.Integration.RxExcel.ExcelObservable<T>,
AsyncFunctions,SyncContext,0,1,0,0,1,25,1,0,0,-1,1,0,AsyncFunctions.ExcelSynchronizationContextInstaller,
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MyRTDServers,TimeServer,3,7,0,0,1,46,7,0,1,0.86,0,0,,
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MarketDataForExcel,YahooFinance,2,4,0,0,4,172,13,0,0,0.5,1,0,MarketDataForExcel.ExchangeRate,
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System.Threading.Tasks,EAPCommon,0,1,0,0,0,18,4,0,0,-1,0,1,,System.Net.WebClientExtensions
ExcelDna.Integration.RxExcel,RxExcel,0,5,0,0,5,24,5,0,0,-1,1,2,ExcelDna.Integration.RxExcel.ExcelObservable<T>,AsyncTest.AsyncRun' AsyncFunctions.RxTest
ExcelDna.Integration.RxExcel,ExcelObservable<T>,1,2,0,0,2,16,2,0,1,0,1,2,ExcelDna.Integration.RxExcel.DebuggingDisposable,ExcelDna.Integration.RxExcel.RxExcel' AsyncFunctions.RxTest
ExcelDna.Integration.RxExcel,DebuggingDisposable,1,2,0,0,2,13,2,0,0,0,0,1,,ExcelDna.Integration.RxExcel.ExcelObservable<T>
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pull_req_id,project_name,lang,github_id,created_at,merged_at,closed_at,lifetime_minutes,mergetime_minutes,merged_using,conflict,forward_links,team_size,num_commits,num_commit_comments,num_issue_comments,num_comments,num_participants,files_added,files_deleted,files_modified,files_changed,src_files,doc_files,other_files,perc_external_contribs,sloc,src_churn,test_churn,commits_on_files_touched,test_lines_per_kloc,test_cases_per_kloc,asserts_per_kloc,watchers,requester,prev_pullreqs,requester_succ_rate,followers,intra_branch,main_team_member
2775959,DataTorrent/Malhar,java,618,1389306127,1389306814,1389306814,11,11,github,false,false,12,1,0,0,0,0,0,0,3,3,4,0,0,77,31410,84,2,4,515.6319643425661,8.404966571155683,24.705507800063675,9,davidyan-malhar,20,0.3,1,false,true
2768981,DataTorrent/Malhar,java,616,1389221066,1389221092,1389221092,0,0,github,false,false,12,1,0,0,0,0,1,0,2,3,0,2,1,78,31400,0,0,3,515.7961783439491,8.40764331210191,24.713375796178344,9,nickholub,30,0.36666666666666664,0,false,true
2762392,DataTorrent/Malhar,java,614,1389134243,1389134371,1389134371,2,2,github,false,false,12,1,0,0,0,0,0,0,1,1,1,0,0,78,31382,2,0,0,516.0920272767828,8.412465744694412,24.727550825313873,9,davidyan-malhar,19,0.2631578947368421,1,false,true
2756649,DataTorrent/Malhar,java,613,1389057283,1389057312,1389057312,0,0,github,false,false,11,16,0,0,0,0,26,1,50,77,37,18,2,79,31382,1270,0,104,516.0920272767828,8.412465744694412,24.727550825313873,9,andyperlitch,26,0.46153846153846156,4,false,true
2756000,DataTorrent/Malhar,java,612,1389046839,1389047047,1389047047,3,3,github,false,false,11,1,0,0,0,0,0,0,2,2,2,0,0,79,31300,166,0,20,517.220447284345,8.434504792332268,24.76038338658147,9,gauravgopi123,27,0.2222222222222222,0,false,true
2754745,DataTorrent/Malhar,java,611,1389033585,1389119936,1389119936,1439,1439,github,false,false,11,1,0,0,0,0,0,0,1,1,1,0,0,79,31783,0,22,3,517.0059465752131,8.432180725545102,24.604348236478618,9,gauravgopi123,26,0.19230769230769232,0,false,true
2743300,DataTorrent/Malhar,java,609,1388790852,,1389046871,4266,,unknown,false,false,11,5,0,0,0,1,0,0,2,2,2,0,0,79,31300,238,0,0,517.220447284345,8.434504792332268,24.76038338658147,9,gauravgopi123,25,0.2,0,false,true
2743112,DataTorrent/Malhar,java,608,1388788367,1388788378,1388788378,0,0,github,false,false,11,1,0,0,0,0,0,0,1,1,1,0,0,79,31300,2,0,7,517.220447284345,8.434504792332268,24.76038338658147,9,nickholub,29,0.3448275862068966,0,false,true
2739730,DataTorrent/Malhar,java,606,1388786869,1389119919,1389119919,5550,5550,github,false,false,11,1,1,0,1,1,2,0,2,4,3,1,0,79,31783,191,97,13,517.0059465752131,8.432180725545102,24.604348236478618,9,ashwinchandrap,14,0.35714285714285715,0,false,true
2742610,DataTorrent/Malhar,java,605,1388783137,,1389030168,4117,,unknown,false,false,11,1,0,1,1,1,0,0,1,1,1,0,0,79,31300,18,0,0,517.220447284345,8.434504792332268,24.76038338658147,9,gauravgopi123,24,0.20833333333333334,0,false,true
2722912,DataTorrent/Malhar,java,603,1388434620,1388434636,1388434636,0,0,commits_in_master,false,false,11,1,0,0,0,0,0,0,4,4,3,0,0,80,31300,85,0,18,517.220447284345,8.434504792332268,24.76038338658147,9,nickholub,28,0.35714285714285715,0,false,true
2712661,DataTorrent/Malhar,java,601,1388184537,1388184551,1388184551,0,0,commits_in_master,false,false,11,1,0,0,0,0,0,0,4,4,2,1,0,80,31300,14,0,18,517.220447284345,8.434504792332268,24.76038338658147,9,nickholub,27,0.37037037037037035,0,false,true
2703335,DataTorrent/Malhar,java,595,1388096309,1388096335,1388096335,0,0,commits_in_master,false,false,11,1,0,0,0,0,0,0,9,9,4,3,1,80,31176,11,0,26,519.2776494739543,8.468052347959969,24.858865794200668,9,nickholub,26,0.38461538461538464,0,false,true
2697487,DataTorrent/Malhar,java,592,1387943021,1387943049,1387943049,0,0,commits_in_master,false,false,11,1,0,0,0,0,3,0,11,14,11,3,1,79,31176,217,0,27,519.2776494739543,8.468052347959969,24.858865794200668,9,nickholub,25,0.4,0,false,true
2696628,DataTorrent/Malhar,java,590,1387913253,1387913854,1387913854,10,10,commits_in_master,false,false,11,2,0,0,0,0,10,5,14,29,16,8,0,80,31176,1670,0,70,519.2776494739543,8.468052347959969,24.858865794200668,9,andyperlitch,25,0.48,4,false,true
2691806,DataTorrent/Malhar,java,585,1387827399,1387828110,1387828110,11,11,commits_in_master,false,false,11,12,0,0,0,0,6,18,35,59,18,17,18,80,31095,171,0,83,517.5108538350217,8.393632416787264,24.762823605081202,9,andyperlitch,24,0.5,4,false,true
2681834,DataTorrent/Malhar,java,581,1387587135,1387587158,1387587158,0,0,commits_in_master,false,false,11,1,0,0,0,0,0,0,10,10,5,3,1,80,31095,58,0,17,517.5108538350217,8.393632416787264,24.762823605081202,9,nickholub,24,0.4166666666666667,0,false,true
2681383,DataTorrent/Malhar,java,577,1387579744,1388165334,1388165334,9759,9759,commits_in_master,false,false,11,2,0,0,0,0,0,0,3,3,3,0,0,80,31095,241,0,30,517.5108538350217,8.393632416787264,24.762823605081202,9,gauravgopi123,23,0.21739130434782608,0,false,true
2674964,DataTorrent/Malhar,java,573,1387493616,1387493639,1387493639,0,0,commits_in_master,false,false,11,1,0,0,0,0,0,0,12,12,8,3,0,78,31086,290,0,17,517.6606832657789,8.396062536189925,24.769992922859164,8,nickholub,23,0.43478260869565216,0,false,true
2674921,DataTorrent/Malhar,java,572,1387493133,1387493157,1387493157,0,0,commits_in_master,false,false,11,1,0,0,0,0,0,0,1,1,1,0,0,78,31086,11,0,3,517.6606832657789,8.396062536189925,24.769992922859164,8,andyperlitch,23,0.5217391304347826,4,false,true
2674643,DataTorrent/Malhar,java,568,1387490118,1387490153,1387490153,0,0,commits_in_master,false,false,11,1,0,0,0,0,0,0,1,1,1,0,0,78,31086,2,0,2,517.6606832657789,8.396062536189925,24.769992922859164,8,andyperlitch,22,0.5454545454545454,4,false,true
2674292,DataTorrent/Malhar,java,566,1387486752,1387486789,1387486789,0,0,commits_in_master,false,false,11,1,0,0,0,0,0,0,2,2,2,0,0,78,31086,37,0,6,517.6606832657789,8.396062536189925,24.769992922859164,8,andyperlitch,21,0.5714285714285714,4,false,true
2672478,DataTorrent/Malhar,java,564,1387468899,1387484570,1387484570,261,261,commits_in_master,false,false,11,1,0,0,0,0,11,4,25,40,26,12,0,78,31086,1171,0,57,517.6606832657789,8.396062536189925,24.769992922859164,8,andyperlitch,20,0.6,4,false,true
2668841,DataTorrent/Malhar,java,560,1387419834,1389056354,1389056354,27275,27275,commits_in_master,false,false,11,1,0,0,0,0,0,0,3,3,3,0,0,78,31086,84,10,13,517.6606832657789,8.396062536189925,24.769992922859164,8,chandnisingh,32,0.1875,0,false,true
2668402,DataTorrent/Malhar,java,558,1387411545,,1387482747,1186,,unknown,false,false,11,2,0,0,0,0,3,0,4,7,3,1,0,78,31398,331,0,4,522.453659468756,8.535575514363972,24.906044971017263,7,siyuanh,17,0.17647058823529413,0,false,true
2668122,DataTorrent/Malhar,java,557,1387407223,,1387479970,1212,,unknown,false,false,11,7,0,0,0,0,3,0,15,18,15,0,0,78,31398,739,56,44,522.453659468756,8.535575514363972,24.906044971017263,7,gauravgopi123,22,0.22727272727272727,0,false,true
2667970,DataTorrent/Malhar,java,556,1387404877,1387405678,1387405678,13,13,github,false,false,11,1,0,0,0,0,0,0,3,3,3,0,0,78,31052,73,0,9,518.2274893726652,8.405255700115934,24.79711451758341,7,davidyan-malhar,18,0.2222222222222222,1,false,true
2667767,DataTorrent/Malhar,java,554,1387402183,,1387402878,11,,unknown,false,false,11,1,0,0,0,0,0,0,1,1,0,1,0,78,31052,0,0,0,518.2274893726652,8.405255700115934,24.79711451758341,7,RashmiDR,7,0.42857142857142855,1,false,true
2667495,DataTorrent/Malhar,java,551,1387398950,1387565513,1387565513,2776,2776,commits_in_master,false,false,11,1,0,0,0,0,0,0,1,1,1,0,0,78,31052,9,0,9,518.2274893726652,8.405255700115934,24.79711451758341,7,gauravgopi123,21,0.23809523809523808,0,false,true
2666688,DataTorrent/Malhar,java,547,1387389826,1387394310,1387394310,74,74,github,false,false,11,1,0,0,0,0,0,0,2,2,2,0,0,78,31341,159,38,4,523.1166842155642,8.551099199132127,24.919434606426087,7,siyuanh,16,0.125,0,false,true
2658274,DataTorrent/Malhar,java,541,1387318604,1387318646,1387318646,0,0,commits_in_master,false,false,11,1,0,0,0,0,0,0,1,1,1,0,0,78,31052,4,0,3,518.2274893726652,8.405255700115934,24.79711451758341,7,andyperlitch,19,0.631578947368421,4,false,true
2656765,DataTorrent/Malhar,java,534,1387303985,1387304051,1387304051,1,1,commits_in_master,false,false,11,2,0,0,0,0,0,0,3,3,3,0,0,78,31052,39,0,5,518.2274893726652,8.405255700115934,24.79711451758341,7,andyperlitch,18,0.6666666666666666,4,false,true
2656391,DataTorrent/Malhar,java,533,1387300147,1387303568,1387303568,57,57,commits_in_master,false,false,11,11,0,0,0,0,1,0,14,15,12,3,0,78,31052,564,0,33,518.2274893726652,8.405255700115934,24.79711451758341,7,andyperlitch,17,0.7058823529411765,4,false,true
2652353,DataTorrent/Malhar,java,532,1387256093,1387256130,1387256130,0,0,commits_in_master,false,false,11,1,0,0,0,0,0,0,5,5,2,2,0,78,31013,46,0,5,518.879179698836,8.415825621513559,24.828297810595554,7,nickholub,22,0.45454545454545453,0,false,true
2650918,DataTorrent/Malhar,java,523,1387233351,,1387318332,1416,,unknown,false,false,11,5,5,0,5,2,4,1,9,14,10,2,0,77,31222,354,125,34,523.0606623534687,8.519633591698161,24.886298123118316,7,gauravgopi123,20,0.25,0,false,true
2649445,DataTorrent/Malhar,java,518,1387220328,1387220387,1387220387,0,0,commits_in_master,false,false,11,1,0,0,0,0,47,0,0,47,23,8,14,77,31013,1784,0,0,518.879179698836,8.415825621513559,24.828297810595554,7,nickholub,21,0.47619047619047616,0,false,true
2639970,DataTorrent/Malhar,java,509,1387057248,1387057261,1387057261,0,0,commits_in_master,false,false,11,1,0,0,0,0,0,0,3,3,2,1,0,77,31013,24,0,8,518.879179698836,8.415825621513559,24.828297810595554,7,andyperlitch,16,0.75,4,false,true
2639547,DataTorrent/Malhar,java,504,1387048829,1387048835,1387048835,0,0,commits_in_master,false,false,11,1,0,0,0,0,0,0,4,4,2,2,0,77,31013,5,0,5,518.879179698836,8.415825621513559,24.828297810595554,7,andyperlitch,15,0.8,4,false,true
2639430,DataTorrent/Malhar,java,501,1387045978,1387045988,1387045988,0,0,github,false,false,11,2,0,0,0,0,0,0,2,2,1,1,0,77,31013,2,0,2,518.879179698836,8.415825621513559,24.828297810595554,7,andyperlitch,14,0.7857142857142857,4,false,true
2637459,DataTorrent/Malhar,java,499,1386998808,,1388480069,24687,,unknown,false,false,11,1,0,4,4,2,13,0,1,14,13,1,0,77,31013,717,391,0,518.879179698836,8.415825621513559,24.828297810595554,7,milindbee,1,0.0,0,false,true
2637431,DataTorrent/Malhar,java,498,1386997845,,1386998327,8,,unknown,false,false,11,2,0,0,0,0,13,0,1,14,13,1,0,77,31013,717,391,0,518.879179698836,8.415825621513559,24.828297810595554,7,milindbee,0,0,0,false,true
2636770,DataTorrent/Malhar,java,494,1386979205,1386979274,1386979274,1,1,commits_in_master,false,false,11,2,0,0,0,0,0,0,9,9,5,3,0,77,30986,184,0,9,519.3313109146065,8.42315884593042,24.84993222745756,7,andyperlitch,13,0.8461538461538461,4,false,true
2636746,DataTorrent/Malhar,java,493,1386978716,1386979682,1386979682,16,16,commits_in_master,false,false,11,1,0,0,0,0,0,0,1,1,1,0,0,77,30986,74,0,4,519.3313109146065,8.42315884593042,24.84993222745756,7,davidyan-malhar,17,0.23529411764705882,1,false,true
2636667,DataTorrent/Malhar,java,492,1386977614,1387258327,1387258327,4678,4678,commits_in_master,false,false,11,3,0,0,0,0,0,0,4,4,3,1,0,77,30986,257,0,30,519.3313109146065,8.42315884593042,24.84993222745756,7,gauravgopi123,19,0.2631578947368421,0,false,true
2636441,DataTorrent/Malhar,java,491,1386974075,,1386978731,77,,unknown,false,false,11,1,0,0,0,0,0,0,1,1,1,0,0,77,30986,35,0,0,519.3313109146065,8.42315884593042,24.84993222745756,7,davidyan-malhar,16,0.25,1,false,true
2635955,DataTorrent/Malhar,java,487,1386969147,1386990320,1386990320,352,352,commits_in_master,false,false,11,1,0,1,1,1,0,0,21,21,21,0,0,77,30861,42,0,50,521.4348206474191,8.457276173811607,24.95058488059363,7,PramodSSImmaneni,5,0.6,0,false,true
2635205,DataTorrent/Malhar,java,483,1386961566,1387235461,1387235461,4564,4564,commits_in_master,false,false,11,4,4,1,5,2,2,0,3,5,4,0,0,77,30861,310,225,0,521.4348206474191,8.457276173811607,24.95058488059363,7,siyuanh,15,0.13333333333333333,0,false,true
2634987,DataTorrent/Malhar,java,482,1386959741,1386959791,1386959791,0,0,github,false,false,11,1,0,0,0,0,0,0,2,2,1,0,2,77,30835,33,0,12,521.874493270634,8.46440732933355,24.971623155505107,7,andyperlitch,12,0.8333333333333334,4,false,true
2634565,DataTorrent/Malhar,java,479,1386955008,1386961357,1386961357,105,105,github,false,false,11,1,0,0,0,0,0,0,1,1,1,0,0,76,30835,108,0,3,521.874493270634,8.46440732933355,24.971623155505107,7,davidyan-malhar,15,0.2,1,false,true
2634457,DataTorrent/Malhar,java,478,1386953926,,1386955046,18,,unknown,false,false,11,1,0,1,1,1,0,0,1,1,1,0,0,76,30835,103,0,0,521.874493270634,8.46440732933355,24.971623155505107,7,davidyan-malhar,14,0.21428571428571427,1,false,true
2628797,DataTorrent/Malhar,java,477,1386894416,1386894867,1386894867,7,7,commits_in_master,false,false,11,17,0,0,0,0,1,0,5,6,3,2,0,77,30835,976,0,144,521.874493270634,8.46440732933355,24.971623155505107,7,andyperlitch,11,0.9090909090909091,4,false,true
2627025,DataTorrent/Malhar,java,467,1386881203,,1386973421,1536,,unknown,false,false,11,3,0,1,1,1,3,0,4,7,3,1,0,76,30848,234,86,9,524.2803423236516,8.52567427385892,25.025933609958507,7,siyuanh,14,0.14285714285714285,0,false,true
2610675,DataTorrent/Malhar,java,458,1386819633,,1388685765,31102,,unknown,false,false,11,1,4,0,4,2,2,0,1,3,2,1,0,76,30361,147,87,0,529.6268238859062,8.596554790685419,25.361483482098745,6,ashwinchandrap,13,0.38461538461538464,0,false,true
2620122,DataTorrent/Malhar,java,456,1386809640,1386971158,1386971158,2691,2691,commits_in_master,false,false,11,5,0,2,2,2,0,0,5,5,5,0,0,76,30835,365,0,24,521.874493270634,8.46440732933355,24.971623155505107,6,gauravgopi123,18,0.2777777777777778,0,false,true
2695528,DataTorrent/Malhar,java,422,1386379571,1386640069,1386640069,4341,4341,github,false,false,11,4,0,0,0,0,1,0,3,4,3,0,0,74,30352,101,0,24,529.7838692672641,8.59910384818134,25.3690036900369,5,gauravgopi123,17,0.23529411764705882,0,false,true
2590101,DataTorrent/Malhar,java,419,1386368968,1386368974,1386368974,0,0,github,false,false,11,3,0,0,0,0,0,0,5,5,1,3,0,74,30352,6,0,19,529.7838692672641,8.59910384818134,25.3690036900369,5,nickholub,20,0.45,0,false,true
2590000,DataTorrent/Malhar,java,416,1386367621,1386368631,1386368631,16,16,github,false,false,11,2,0,0,0,0,0,0,1,1,1,0,0,74,30352,2,0,2,529.7838692672641,8.59910384818134,25.3690036900369,5,andyperlitch,10,0.9,4,false,true
2589879,DataTorrent/Malhar,java,415,1386366459,1386366554,1386366554,1,1,github,false,false,11,9,0,0,0,0,0,35,15,50,18,8,26,74,30352,3364,0,62,529.7838692672641,8.59910384818134,25.3690036900369,5,andyperlitch,9,0.8888888888888888,4,false,true
2589854,DataTorrent/Malhar,java,414,1386366156,1386366300,1386366300,2,2,github,false,false,11,1,0,0,0,0,0,0,4,4,1,2,0,74,30352,37,0,12,529.7838692672641,8.59910384818134,25.3690036900369,5,nickholub,19,0.42105263157894735,0,false,true
2589137,DataTorrent/Malhar,java,412,1386358528,1386358640,1386358640,1,1,github,false,false,11,4,0,0,0,0,0,1,5,6,4,0,2,74,30352,172,0,16,529.7838692672641,8.59910384818134,25.3690036900369,5,andyperlitch,8,0.875,4,false,true
2583917,DataTorrent/Malhar,java,409,1386292213,1386346453,1386346453,904,904,github,false,false,11,1,0,0,0,0,2,0,2,4,2,1,1,74,30352,25,0,5,529.7838692672641,8.59910384818134,25.3690036900369,5,nickholub,18,0.3888888888888889,0,false,true
2583406,DataTorrent/Malhar,java,407,1386285612,1386290945,1386290945,88,88,github,false,false,11,1,0,0,0,0,0,0,1,1,1,0,0,74,30352,2,0,10,529.7838692672641,8.59910384818134,25.3690036900369,5,gauravgopi123,16,0.1875,0,false,true
2581826,DataTorrent/Malhar,java,375,1386269535,1386269777,1386269777,4,4,github,false,false,10,4,0,0,0,0,3,2,6,11,4,1,2,74,30251,3202,0,6,528.0156027899903,8.594757198109154,25.288420217513472,5,andyperlitch,7,0.8571428571428571,4,false,true
2581811,DataTorrent/Malhar,java,374,1386269357,1386269496,1386269496,2,2,commits_in_master,false,false,10,4,0,0,0,0,3,2,6,11,4,1,2,74,30251,3202,0,6,528.0156027899903,8.594757198109154,25.288420217513472,5,andyperlitch,6,1.0,4,false,true
2576828,DataTorrent/Malhar,java,372,1386206944,1386206971,1386206971,0,0,github,false,false,10,1,0,0,0,0,0,0,1,1,0,1,0,74,30195,0,0,1,528.9948666997847,8.6106971352873,25.33532041728763,5,nickholub,17,0.35294117647058826,0,false,true
2576795,DataTorrent/Malhar,java,371,1386206583,1386206601,1386206601,0,0,github,false,false,10,1,0,0,0,0,0,0,4,4,2,1,0,75,30195,107,0,10,528.9948666997847,8.6106971352873,25.33532041728763,5,nickholub,16,0.3125,0,false,true
2576396,DataTorrent/Malhar,java,370,1386200248,1386217176,1386217176,282,282,github,false,false,10,2,0,0,0,0,0,0,1,1,1,0,0,75,30157,102,0,0,529.6614384719966,8.621547236130915,25.367244752462113,5,RashmiDR,6,0.3333333333333333,1,false,true
2576053,DataTorrent/Malhar,java,368,1386195388,1386195409,1386195409,0,0,github,false,false,10,1,0,0,0,0,0,0,3,3,2,0,1,75,30195,45,0,6,528.9948666997847,8.6106971352873,25.33532041728763,5,nickholub,15,0.26666666666666666,0,false,true
2576033,DataTorrent/Malhar,java,366,1386195036,1386195442,1386195442,6,6,github,false,false,10,2,0,0,0,0,0,0,12,12,12,0,0,75,30157,383,0,61,529.6614384719966,8.621547236130915,25.367244752462113,5,RashmiDR,5,0.2,1,false,true
2575990,DataTorrent/Malhar,java,365,1386194598,1386194734,1386194734,2,2,github,false,false,10,2,0,0,0,0,0,0,30,30,20,11,0,75,30195,221,0,41,528.9948666997847,8.6106971352873,25.33532041728763,5,andyperlitch,5,1.0,4,false,true
2574266,DataTorrent/Malhar,java,355,1386177953,1386177975,1386177975,0,0,github,false,false,10,1,0,0,0,0,1,0,7,8,8,0,0,75,30195,307,0,8,528.9948666997847,8.6106971352873,25.33532041728763,5,andyperlitch,4,1.0,4,false,true
2568994,DataTorrent/Malhar,java,352,1386108474,1386108761,1386108761,4,4,github,false,false,10,1,0,0,0,0,0,0,1,1,1,0,0,75,30192,3,0,11,529.047429782724,8.611552729199788,25.33783783783784,5,gauravgopi123,15,0.13333333333333333,0,false,true
2567940,DataTorrent/Malhar,java,351,1386098395,1386218560,1386218560,2002,2002,github,false,false,10,4,0,0,0,0,0,0,31,31,31,0,0,75,30192,386,0,0,529.047429782724,8.611552729199788,25.33783783783784,5,chandnisingh,31,0.16129032258064516,0,false,true
2562823,DataTorrent/Malhar,java,350,1386034194,1386278786,1386278786,4076,4076,github,false,false,10,4,0,2,2,2,4,1,9,14,10,0,0,75,30192,735,250,28,529.047429782724,8.611552729199788,25.33783783783784,5,chandnisingh,30,0.13333333333333333,0,false,true
2562295,DataTorrent/Malhar,java,348,1386025688,1386025701,1386025701,0,0,github,false,false,10,1,0,0,0,0,0,0,4,4,4,0,0,75,30192,21,0,4,529.047429782724,8.611552729199788,25.33783783783784,5,andyperlitch,3,1.0,4,false,true
2562278,DataTorrent/Malhar,java,347,1386025537,1386025554,1386025554,0,0,github,false,false,10,1,0,0,0,0,0,0,1,1,1,0,0,75,30192,3,0,1,529.047429782724,8.611552729199788,25.33783783783784,5,nickholub,14,0.21428571428571427,0,false,true
2562129,DataTorrent/Malhar,java,345,1386024167,1386024220,1386024220,0,0,github,false,false,10,1,0,0,0,0,0,0,1,1,0,1,0,75,30192,0,0,1,529.047429782724,8.611552729199788,25.33783783783784,5,andyperlitch,2,1.0,4,false,true
2562072,DataTorrent/Malhar,java,344,1386023569,1386023582,1386023582,0,0,github,false,false,10,1,0,0,0,0,0,0,1,1,1,0,0,75,30192,1,0,2,529.047429782724,8.611552729199788,25.33783783783784,5,andyperlitch,1,1.0,4,false,true
2561996,DataTorrent/Malhar,java,342,1386023000,1386023345,1386023345,5,5,github,false,false,10,3,0,0,0,0,0,0,3,3,1,1,0,75,30192,32,0,5,529.047429782724,8.611552729199788,25.33783783783784,5,andyperlitch,0,0,4,false,true
2554644,DataTorrent/Malhar,java,337,1386007622,1386713074,1386713074,11757,11757,commits_in_master,false,false,10,5,7,2,9,1,0,0,13,13,12,1,0,75,30195,1253,68,170,528.9948666997847,8.6106971352873,25.33532041728763,5,siyuanh,13,0.15384615384615385,0,false,true
2534209,DataTorrent/Malhar,java,336,1385600491,1385606884,1385606884,106,106,github,false,false,10,1,0,0,0,0,2,0,5,7,7,0,0,74,30734,520,0,25,527.5265178629531,8.62237261664606,25.313984512266547,5,ashwinchandrap,12,0.3333333333333333,0,false,true
2533669,DataTorrent/Malhar,java,335,1385590057,1385597090,1385597090,117,117,github,false,false,10,2,0,1,1,1,0,0,1,1,1,0,0,74,30157,102,0,0,529.6614384719966,8.621547236130915,25.367244752462113,5,RashmiDR,4,0.0,1,false,true
2527010,DataTorrent/Malhar,java,332,1385511729,1386175573,1386175573,11064,11064,commits_in_master,false,false,10,2,0,1,1,1,0,0,12,12,12,0,0,73,30044,383,0,74,531.387298628678,8.65397417121555,25.4626547729996,5,RashmiDR,3,0.0,1,false,true
2526527,DataTorrent/Malhar,java,331,1385504740,1385504769,1385504769,0,0,commits_in_master,false,false,10,1,0,0,0,0,0,0,1,1,0,1,0,73,30157,0,0,1,529.6614384719966,8.621547236130915,25.367244752462113,5,nickholub,13,0.23076923076923078,0,false,true
2520112,DataTorrent/Malhar,java,326,1385431320,1385432259,1385432259,15,15,commits_in_master,false,false,10,1,0,0,0,0,4,0,8,12,14,0,0,73,30044,563,32,11,531.5870057249368,8.65397417121555,25.4626547729996,5,chandnisingh,29,0.13793103448275862,0,false,true
2505926,DataTorrent/Malhar,java,323,1385188877,,1386097470,15143,,unknown,false,false,9,1,0,2,2,2,0,0,3,3,3,0,0,74,30044,44,0,0,531.5870057249368,8.65397417121555,25.4626547729996,5,gauravgopi123,14,0.14285714285714285,0,false,true
2499135,DataTorrent/Malhar,java,321,1385094838,1385095179,1385095179,5,5,commits_in_master,false,false,10,250,0,0,0,0,204,40,211,455,264,28,20,73,27507,41513,3159,607,563.7474097502454,9.415785072890536,27.920165775984294,5,ashwinchandrap,11,0.36363636363636365,0,false,true
2496112,DataTorrent/Malhar,java,320,1385059191,1385581176,1385581176,8699,8699,commits_in_master,false,false,11,1,0,4,4,3,0,0,1,1,1,0,0,73,30044,73,0,2,531.387298628678,8.65397417121555,25.4626547729996,5,RashmiDR,2,0.0,1,false,true
2475311,DataTorrent/Malhar,java,315,1384823756,1384823826,1384823826,1,1,commits_in_master,false,false,11,1,0,0,0,0,0,0,1,1,1,0,0,72,30042,6,0,10,531.4226749217762,8.654550296251914,25.464349910125822,4,gauravgopi123,13,0.15384615384615385,0,false,true
2473562,DataTorrent/Malhar,java,313,1384803790,1386097431,1386097431,21560,21560,commits_in_master,false,false,11,1,0,1,1,1,0,0,31,31,31,0,0,72,30042,63,0,41,531.4226749217762,8.654550296251914,25.464349910125822,4,chandnisingh,28,0.14285714285714285,0,false,true
2454116,DataTorrent/Malhar,java,310,1384480111,1384480149,1384480149,0,0,commits_in_master,false,false,11,1,0,0,0,0,0,0,1,1,1,0,0,70,30042,4,0,9,531.4226749217762,8.654550296251914,25.464349910125822,3,sashadt,7,0.42857142857142855,0,false,true
2453852,DataTorrent/Malhar,java,308,1384475944,1384476998,1384476998,17,17,commits_in_master,false,false,11,1,0,0,0,0,0,0,1,1,1,0,0,70,30022,7,0,9,524.4154286856306,8.66031576843648,25.481313703284258,3,gauravgopi123,12,0.16666666666666666,0,false,true
2452068,DataTorrent/Malhar,java,305,1384456773,1384476879,1384476879,335,335,commits_in_master,false,false,11,1,0,0,0,0,0,0,3,3,3,0,0,70,30022,78,0,17,524.4154286856306,8.66031576843648,25.481313703284258,3,siyuanh,12,0.16666666666666666,0,false,true
2446728,DataTorrent/Malhar,java,301,1384394697,1384474883,1384474883,1336,1336,commits_in_master,false,false,11,1,0,0,0,0,0,0,2,2,1,0,1,70,29853,4,0,11,524.1684252838911,8.675844973704486,25.59206779888118,3,sashadt,6,0.5,0,false,true
2438813,DataTorrent/Malhar,java,299,1384302311,1384477790,1384477790,2924,2924,commits_in_master,false,false,11,3,0,0,0,0,5,0,5,10,6,0,0,70,29853,48,862,5,524.1684252838911,8.675844973704486,25.59206779888118,3,siyuanh,11,0.18181818181818182,0,false,true
2431491,DataTorrent/Malhar,java,288,1384220654,1384220710,1384220710,0,0,commits_in_master,false,false,11,1,0,0,0,0,1,0,3,4,4,0,0,69,29426,224,0,13,522.2932100863183,8.699789301977843,25.657581730442466,3,nickholub,12,0.25,0,false,true
2431259,DataTorrent/Malhar,java,287,1384216530,1384394626,1384394626,2968,2968,commits_in_master,false,false,11,17,0,0,0,0,2,8,21,31,24,3,1,69,29426,1953,24,138,522.2932100863183,8.699789301977843,25.657581730442466,3,siyuanh,10,0.2,0,false,true
2424252,DataTorrent/Malhar,java,284,1384126716,,1385059593,15547,,unknown,false,true,11,3,0,1,1,2,0,0,1,1,1,0,0,69,25685,36,0,0,592.5637531633249,9.850107066381156,29.394588281097917,3,RashmiDR,1,0.0,1,false,true
2416025,DataTorrent/Malhar,java,282,1383949763,1384394626,1384394626,7414,7414,commits_in_master,false,false,11,18,0,0,0,0,2,8,19,29,22,3,1,69,29426,1970,24,138,522.2932100863183,8.699789301977843,25.657581730442466,3,siyuanh,9,0.2222222222222222,0,false,true
2402004,DataTorrent/Malhar,java,275,1383784251,1384272892,1384272892,8144,8144,commits_in_master,false,false,11,3,0,0,0,0,0,0,6,6,6,0,0,68,29426,44,6,58,522.2932100863183,8.699789301977843,25.657581730442466,3,gauravgopi123,11,0.18181818181818182,0,false,true
2401915,DataTorrent/Malhar,java,274,1383782739,1384273918,1384273918,8186,8186,commits_in_master,false,false,11,6,0,1,1,1,16,1,13,30,17,1,0,68,29426,967,375,11,522.2932100863183,8.699789301977843,25.657581730442466,3,chandnisingh,26,0.15384615384615385,0,false,true
2394347,DataTorrent/Malhar,java,264,1383693447,1384394626,1384394626,11686,11686,commits_in_master,false,false,11,1,0,0,0,0,3,0,0,3,3,0,0,68,29538,272,126,0,519.7711422574312,8.666802085449252,25.560295212946038,3,chandnisingh,25,0.16,0,false,true
2394234,DataTorrent/Malhar,java,263,1383692127,1383762710,1383762710,1176,1176,commits_in_master,false,false,11,2,0,0,0,0,0,0,1,1,1,0,0,67,29538,53,0,12,519.7711422574312,8.666802085449252,25.560295212946038,3,chandnisingh,24,0.16666666666666666,0,false,true
2394090,DataTorrent/Malhar,java,262,1383690362,1384394626,1384394626,11737,11737,commits_in_master,false,false,11,1,0,0,0,0,0,0,31,31,31,0,0,67,29538,63,0,51,519.7711422574312,8.666802085449252,25.560295212946038,3,chandnisingh,23,0.17391304347826086,0,false,true
2393792,DataTorrent/Malhar,java,261,1383687206,1383761603,1383761603,1239,1239,commits_in_master,false,false,11,5,0,0,0,0,0,7,15,22,20,0,0,67,29538,1869,24,107,519.7711422574312,8.666802085449252,25.560295212946038,3,gauravgopi123,10,0.2,0,false,true
2370271,DataTorrent/Malhar,java,246,1383326211,,1383615089,4814,,unknown,false,false,10,3,0,0,0,0,0,0,4,4,4,0,0,66,25685,39,0,0,592.5637531633249,9.850107066381156,29.394588281097917,3,243826,1,1.0,0,false,true
2364576,DataTorrent/Malhar,java,231,1383245092,,1383322420,1288,,unknown,false,false,10,3,0,1,1,1,2,0,2,4,4,0,0,64,29374,184,116,20,522.9114182610472,8.749234016477157,25.771090079662287,3,gauravgopi123,8,0.25,0,false,true
2357733,DataTorrent/Malhar,java,226,1383164823,1383165478,1383165478,10,10,github,false,false,10,2,0,1,1,1,0,0,2,2,2,0,0,62,29356,23,0,12,522.5166916473634,8.72053413271563,25.78689194713176,3,gauravgopi123,7,0.14285714285714285,0,false,true
2350984,DataTorrent/Malhar,java,222,1383087663,,1383782621,11582,,unknown,false,false,10,4,0,2,2,2,15,0,10,25,15,1,0,61,25685,731,333,0,592.5637531633249,9.850107066381156,29.394588281097917,3,chandnisingh,21,0.19047619047619047,0,false,true
2343541,DataTorrent/Malhar,java,218,1382996085,,1382996248,2,,unknown,false,false,10,1,0,0,0,0,1,0,2,3,3,0,0,60,26817,60,0,0,569.2284744751463,9.471603833389267,28.153783048066526,3,davidyan-malhar,11,0.18181818181818182,1,false,true
2337941,DataTorrent/Malhar,java,216,1382937219,,1382937256,0,,unknown,false,false,10,1,0,0,0,0,0,0,8,8,4,2,2,59,27661,98,0,18,554.5352662593543,9.254907631683597,27.36705108275189,3,nickholub,9,0.2222222222222222,0,false,true
2695526,DataTorrent/Malhar,java,211,1382752372,1382752403,1382752403,0,0,github,false,false,10,1,0,0,0,0,0,0,2,2,1,0,1,59,27661,2,0,5,554.5352662593543,9.254907631683597,27.36705108275189,3,nickholub,8,0.125,0,false,true
2330681,DataTorrent/Malhar,java,210,1382749784,,1382749921,2,,unknown,false,false,10,1,0,0,0,0,1,1,20,22,12,9,0,59,27661,638,0,27,554.5352662593543,9.254907631683597,27.36705108275189,3,nickholub,7,0.14285714285714285,0,false,true
2330376,DataTorrent/Malhar,java,209,1382741156,,1382741510,5,,unknown,false,false,10,3,0,0,0,0,0,4,9,13,12,1,0,58,26893,520,182,38,570.18555014316,9.519205741270962,28.14858885211765,3,davidyan-malhar,10,0.2,1,false,true
2330200,DataTorrent/Malhar,java,207,1382737985,,1382738537,9,,unknown,false,false,10,3,0,0,0,0,0,4,9,13,12,1,0,58,26893,519,182,0,570.18555014316,9.519205741270962,28.14858885211765,3,davidyan-malhar,9,0.2222222222222222,1,false,true
2328411,DataTorrent/Malhar,java,203,1382716360,1383690287,1383690287,16172,16172,merged_in_comments,false,false,10,1,0,2,2,2,0,0,31,31,31,0,0,57,25685,63,0,0,592.5637531633249,9.850107066381156,29.394588281097917,3,chandnisingh,20,0.2,0,false,true
2323319,DataTorrent/Malhar,java,202,1382646478,,1382742057,1592,,unknown,false,false,10,1,0,0,0,0,0,0,2,2,2,0,0,57,26075,62,50,2,579.4822627037393,9.77948226270374,28.57142857142857,3,ashwinchandrap,10,0.4,0,false,true
2323295,DataTorrent/Malhar,java,201,1382646128,,1382646372,4,,unknown,false,false,10,1,0,0,0,0,0,0,4,4,3,1,0,56,27659,22,0,5,554.5753642575654,9.255576846596044,27.36902997216096,3,nickholub,6,0.16666666666666666,0,false,true
2323215,DataTorrent/Malhar,java,200,1382645265,,1382645845,9,,unknown,false,false,10,1,0,0,0,0,0,0,2,2,2,0,0,56,26075,62,50,0,579.4822627037393,9.77948226270374,28.57142857142857,3,ashwinchandrap,9,0.4444444444444444,0,false,true
2322981,DataTorrent/Malhar,java,199,1382642911,,1382983260,5612,,unknown,false,false,10,2,0,0,0,0,0,0,2,2,2,0,0,56,27659,231,0,7,554.5753642575654,9.255576846596044,27.36902997216096,3,gauravgopi123,6,0.16666666666666666,0,false,true
2316880,DataTorrent/Malhar,java,197,1382574485,,1382574576,1,,unknown,false,false,10,4,0,0,0,0,0,4,5,9,7,1,1,55,26832,109,0,9,571.6681574239714,9.540846750149075,28.212581991651756,3,nickholub,5,0.2,0,false,true
2316763,DataTorrent/Malhar,java,196,1382572601,,1382573619,16,,unknown,false,false,10,1,0,1,1,1,0,0,3,3,3,0,0,54,26828,40,0,28,571.75339197853,9.542269270910989,28.21678842999851,3,chandnisingh,19,0.21052631578947367,0,false,true
2316743,DataTorrent/Malhar,java,195,1382572024,,1382572275,4,,unknown,false,false,10,1,0,0,0,0,0,4,5,9,7,1,1,54,25685,109,0,0,592.5637531633249,9.850107066381156,29.394588281097917,3,nickholub,4,0.25,0,false,true
2316465,DataTorrent/Malhar,java,193,1382567599,,1382737724,2835,,unknown,false,false,10,3,0,0,0,0,0,4,9,13,12,1,0,54,26893,519,182,0,570.18555014316,9.519205741270962,28.14858885211765,3,davidyan-malhar,8,0.25,1,false,true
2316164,DataTorrent/Malhar,java,190,1382562945,1382563263,1382563263,5,5,commits_in_master,false,false,10,30,0,0,0,0,34,7,49,90,57,8,5,53,25355,4632,666,289,592.348649181621,9.899428120686254,29.65884440938671,3,davidyan-malhar,7,0.2857142857142857,1,false,true
2315876,DataTorrent/Malhar,java,188,1382559538,1382559811,1382559811,4,4,commits_in_master,false,false,10,1,0,0,0,0,59,0,0,59,28,15,13,53,25685,5415,0,0,592.5637531633249,9.850107066381156,29.394588281097917,3,nickholub,3,0.3333333333333333,0,false,true
2313862,DataTorrent/Malhar,java,184,1382539902,,1382577401,624,,unknown,false,false,10,2,0,0,0,0,12,1,8,21,20,0,0,53,26828,2858,6,26,571.75339197853,9.542269270910989,28.21678842999851,3,gauravgopi123,5,0.2,0,false,true
2309369,DataTorrent/Malhar,java,182,1382479828,1382483867,1382483867,67,67,github,false,false,10,1,0,0,0,0,1,1,3,5,5,0,0,52,25679,326,0,29,592.7022080299078,9.852408582888742,29.401456443007906,3,chandnisingh,18,0.16666666666666666,0,false,true
2307807,DataTorrent/Malhar,java,180,1382461694,1382482940,1382482940,354,354,github,false,false,10,1,0,0,0,0,0,0,1,1,1,0,0,51,25354,1,0,2,592.3720123057506,9.89981856906208,29.660014198942967,3,davidyan-malhar,6,0.16666666666666666,1,false,true
2302250,DataTorrent/Malhar,java,176,1382392243,1382392427,1382392427,3,3,github,false,false,10,1,0,0,0,0,0,1,0,1,0,1,0,50,25685,0,0,1,592.5637531633249,9.850107066381156,29.394588281097917,3,PramodSSImmaneni,4,0.5,0,false,true
2301981,DataTorrent/Malhar,java,174,1382388183,1382388539,1382388539,5,5,github,false,false,10,1,0,0,0,0,0,0,1,1,1,0,0,50,25670,17,0,9,592.910011686794,9.855862874951306,29.41176470588235,3,chandnisingh,17,0.11764705882352941,0,false,true
2301857,DataTorrent/Malhar,java,173,1382386435,1382387492,1382387492,17,17,github,false,false,10,2,0,0,0,0,0,0,1,1,1,0,0,50,25676,33,0,18,592.7714597289297,9.853559744508491,29.40489172768344,3,chandnisingh,16,0.0625,0,false,true
2287896,DataTorrent/Malhar,java,169,1382119160,1382370160,1382370160,4183,4183,commits_in_master,false,false,10,1,0,0,0,0,0,0,1,1,1,0,0,48,25599,100,0,1,594.5544747841712,9.883198562443846,29.49333958357748,3,chandnisingh,15,0.06666666666666667,0,false,true
2287189,DataTorrent/Malhar,java,167,1382111751,,1382130047,304,,unknown,false,false,10,1,0,0,0,0,0,0,1,1,1,0,0,48,25324,67,0,5,593.0737640183225,9.911546359184964,29.69515084504818,3,davidyan-malhar,5,0.2,1,false,true
2284411,DataTorrent/Malhar,java,165,1382081737,1382136611,1382136611,914,914,commits_in_master,false,false,10,1,0,0,0,0,0,0,1,1,1,0,0,47,25599,14,0,4,594.5544747841712,9.883198562443846,29.49333958357748,3,PramodSSImmaneni,3,0.6666666666666666,0,false,true
2280402,DataTorrent/Malhar,java,159,1382021887,1385598796,1385598796,59555,59555,commits_in_master,false,false,10,1,0,0,0,1,0,0,15,15,15,0,0,46,25586,120,12,59,594.8565621824436,9.888220120378332,29.508324865160635,2,RashmiDR,0,0,1,false,true
2276472,DataTorrent/Malhar,java,158,1381969559,1382136505,1382136505,2782,2782,commits_in_master,false,false,10,4,0,2,2,2,1,0,3,4,3,0,0,46,25586,229,0,32,594.8565621824436,9.888220120378332,29.508324865160635,2,chandnisingh,14,0.07142857142857142,0,false,true
2269823,DataTorrent/Malhar,java,151,1381885351,,1381938270,881,,unknown,false,false,10,1,0,0,0,0,0,0,10,10,5,5,0,45,25324,42,0,101,593.0737640183225,9.911546359184964,29.69515084504818,2,davidyan-malhar,4,0.25,1,false,true
2269573,DataTorrent/Malhar,java,150,1381880684,1382037112,1382037112,2607,2607,commits_in_master,false,false,10,1,0,0,0,0,0,0,1,1,1,0,0,45,25586,32,0,4,594.8565621824436,9.888220120378332,29.508324865160635,2,chandnisingh,13,0.07692307692307693,0,false,true
2269523,DataTorrent/Malhar,java,149,1381879933,,1383616689,28885,,unknown,false,false,10,4,1,0,1,1,0,0,6,6,5,1,0,44,25586,78,0,0,594.8565621824436,9.888220120378332,29.508324865160635,2,siyuanh,8,0.25,0,false,true
2268576,DataTorrent/Malhar,java,143,1381866099,,1381866562,7,,unknown,false,false,10,1,0,0,0,0,0,0,4,4,4,0,0,42,25315,147,0,15,593.2846138652973,9.9150701165317,29.7057080782145,2,davidyan-malhar,3,0.3333333333333333,1,false,true
2267627,DataTorrent/Malhar,java,142,1381857021,,1381857309,4,,unknown,false,false,10,2,0,0,0,0,0,0,25,25,24,1,0,41,25288,311,53,120,594.1157861436254,9.925656437836128,29.737424865548878,2,davidyan-malhar,2,0.5,1,false,true
2267466,DataTorrent/Malhar,java,141,1381855476,1381855615,1381855615,2,2,commits_in_master,false,false,10,1,0,1,1,1,0,0,1,1,0,1,0,41,25288,0,0,16,594.1157861436254,9.925656437836128,29.737424865548878,2,davidyan-malhar,1,1.0,1,false,true
2267083,DataTorrent/Malhar,java,140,1381851244,1382035182,1382035182,3065,3065,commits_in_master,false,false,10,1,0,0,0,0,0,0,3,3,3,0,0,40,25288,24,0,15,594.1157861436254,9.925656437836128,29.737424865548878,2,chandnisingh,12,0.08333333333333333,0,false,true
2267066,DataTorrent/Malhar,java,139,1381851134,1381866874,1381866874,262,262,commits_in_master,false,false,10,3,0,0,0,0,6,0,11,17,14,0,0,40,25288,910,398,24,594.1157861436254,9.925656437836128,29.737424865548878,2,siyuanh,7,0.2857142857142857,0,false,true
2263959,DataTorrent/Malhar,java,137,1381814477,,1382026495,3533,,unknown,false,false,10,1,0,0,0,1,8,0,1,9,8,1,0,40,25288,389,44,0,594.1157861436254,9.925656437836128,29.737424865548878,2,chandnisingh,11,0.09090909090909091,0,false,true
2263100,DataTorrent/Malhar,java,136,1381796243,1381797190,1381797190,15,15,commits_in_master,false,false,10,1,0,0,0,0,0,0,1,1,1,0,0,39,25288,2,0,1,594.1157861436254,9.925656437836128,29.737424865548878,2,chandnisingh,10,0.1,0,false,true
2260509,DataTorrent/Malhar,java,134,1381762598,1382482735,1382482735,12002,12002,merged_in_comments,false,false,10,2,0,0,0,1,24,4,6,34,29,3,3,39,25289,2736,164,45,594.0922930918581,9.925263948752422,29.73624896199929,2,gauravgopi123,4,0.25,0,false,true
2248541,DataTorrent/Malhar,java,133,1381510018,,1381521660,194,,unknown,false,false,10,1,0,0,0,0,5,0,2,7,6,2,1,36,25869,494,26,5,584.0967953921681,9.857358227994897,28.79894854845568,2,ashwinchandrap,8,0.5,0,false,true
2248200,DataTorrent/Malhar,java,131,1381506931,,1382039489,8875,,unknown,false,false,10,1,0,1,1,1,0,2,0,2,4,0,0,36,25477,106,100,0,585.4692467715979,9.812772304431448,29.045806021117087,2,chandnisingh,9,0.1111111111111111,0,false,true
2234678,DataTorrent/Malhar,java,128,1381336540,1381505729,1381505729,2819,2819,commits_in_master,false,false,10,4,0,1,1,1,0,0,2,2,2,0,0,33,25490,181,21,14,585.1314240878776,9.807767752059632,29.030992546096506,2,chandnisingh,8,0.125,0,false,true
2228415,DataTorrent/Malhar,java,126,1381251016,1381252083,1381252083,17,17,github,false,false,10,1,0,0,0,0,0,0,1,1,1,0,0,30,25388,3,0,1,585.827950212699,9.80778320466362,28.9506853631637,2,PramodSSImmaneni,2,0.5,0,false,true
2228324,DataTorrent/Malhar,java,125,1381250169,,1381250226,0,,unknown,false,false,10,3,0,0,0,0,0,0,2,2,1,1,0,30,25388,3,0,0,585.827950212699,9.80778320466362,28.9506853631637,2,PramodSSImmaneni,1,1.0,0,false,true
2222096,DataTorrent/Malhar,java,122,1381164667,1381260538,1381260538,1597,1597,github,false,false,10,3,0,1,1,1,2,0,1,3,4,0,0,29,25452,156,66,0,585.2192362093352,9.822410812509823,28.877887788778878,2,chandnisingh,7,0.0,0,false,true
2218618,DataTorrent/Malhar,java,121,1381117546,,1381164295,779,,unknown,false,false,10,3,0,1,1,1,2,0,1,3,2,0,0,29,25452,159,59,0,585.2192362093352,9.822410812509823,28.877887788778878,2,chandnisingh,6,0.0,0,false,true
2211718,DataTorrent/Malhar,java,120,1380922833,1380923925,1380923925,18,18,github,false,false,10,1,0,1,1,1,1,1,1,3,3,0,0,28,25409,159,19,10,585.6979810303435,9.839033413357472,28.926758235270967,2,243826,0,0,0,false,true
2205953,DataTorrent/Malhar,java,119,1380845740,1381759834,1381759834,15234,15234,commits_in_master,false,false,10,3,0,1,1,1,3,8,12,23,26,0,0,28,25409,1315,155,20,585.6979810303435,9.839033413357472,28.926758235270967,1,chandnisingh,5,0.0,0,false,true
2202969,DataTorrent/Malhar,java,118,1380835676,,1380845011,155,,unknown,false,false,10,2,3,0,3,1,3,8,13,24,26,0,0,28,25409,1242,158,0,585.6979810303435,9.839033413357472,28.926758235270967,1,chandnisingh,4,0.0,0,false,true
2205080,DataTorrent/Malhar,java,117,1380833015,1380835267,1380835267,37,37,github,false,false,10,1,0,0,0,0,8,0,3,11,8,1,2,27,25566,474,294,9,584.29163733083,9.85684111710866,28.90557772040992,1,sashadt,5,0.4,0,false,true
2198959,DataTorrent/Malhar,java,116,1380762872,,1380832934,1167,,unknown,false,false,10,2,0,0,0,0,8,0,3,11,8,1,2,27,25566,429,278,0,584.29163733083,9.85684111710866,28.90557772040992,1,sashadt,4,0.5,0,false,true
2198916,DataTorrent/Malhar,java,115,1380761900,1380762060,1380762060,2,2,commits_in_master,false,false,10,36,0,0,0,0,38,0,27,65,53,7,5,27,24091,3441,577,168,618.3221950105848,10.294300776223485,30.384791000788677,1,sashadt,3,0.6666666666666666,0,false,true
2198655,DataTorrent/Malhar,java,114,1380758122,1381849862,1381849862,18195,18195,commits_in_master,false,false,10,1,1,1,2,1,5,0,6,11,12,0,0,27,25409,260,288,13,585.6979810303435,9.839033413357472,28.926758235270967,1,siyuanh,6,0.3333333333333333,0,false,true
2244729,DataTorrent/Malhar,java,111,1380734473,,1386097341,89321,,unknown,false,false,10,3,0,4,4,3,4,0,0,4,4,0,0,27,25409,170,275,0,585.6979810303435,9.839033413357472,28.926758235270967,1,atuldambalkar,0,0,0,false,true
2189189,DataTorrent/Malhar,java,103,1380653164,1380653598,1380653598,7,7,commits_in_master,false,false,10,1,0,0,0,0,0,0,1,1,1,0,0,26,25409,0,2,1,585.6979810303435,9.839033413357472,28.926758235270967,1,siyuanh,5,0.4,0,false,true
2188140,DataTorrent/Malhar,java,102,1380644431,1380646806,1380646806,39,39,commits_in_master,false,false,10,1,0,0,0,0,2,0,0,2,2,0,0,25,25286,73,78,0,586.8860238867358,9.728703630467452,28.79063513406628,1,chandnisingh,3,0.0,0,false,true
2188082,DataTorrent/Malhar,java,101,1380643310,,1380643805,8,,unknown,false,false,10,3,0,0,0,0,2,0,1,3,4,0,0,24,25286,77,84,0,586.8860238867358,9.728703630467452,28.79063513406628,1,chandnisingh,2,0.0,0,false,true
2183342,DataTorrent/Malhar,java,100,1380576216,,1380640510,1071,,unknown,false,false,10,2,0,1,1,1,2,0,0,2,4,0,0,24,25286,50,84,0,586.8860238867358,9.728703630467452,28.79063513406628,1,chandnisingh,1,0.0,0,false,true
2182644,DataTorrent/Malhar,java,98,1380568394,,1380572827,73,,unknown,false,false,10,3,0,0,0,0,2,0,2,4,2,0,0,24,25286,52,86,0,586.8860238867358,9.728703630467452,28.79063513406628,1,chandnisingh,0,0,0,false,true
2169699,DataTorrent/Malhar,java,96,1380329257,,1380646043,5279,,unknown,false,false,10,1,0,0,0,0,0,0,0,0,2,0,0,23,24086,55,26,0,618.1599269285061,10.296437764676575,30.30806277505605,1,ashwinchandrap,7,0.5714285714285714,0,false,true
2163832,DataTorrent/Malhar,java,94,1380239350,,1380329293,1499,,unknown,false,false,10,4,0,1,1,1,0,0,3,3,3,0,0,23,24086,67,26,0,618.1599269285061,10.296437764676575,30.30806277505605,1,ashwinchandrap,6,0.6666666666666666,0,false,true
2162334,DataTorrent/Malhar,java,93,1380219873,1380649090,1380649090,7153,7153,commits_in_master,false,false,10,3,4,0,4,3,3,0,10,13,13,1,0,23,23934,797,389,36,620.0384390406953,10.278265229380798,30.416980028411462,1,siyuanh,4,0.5,0,false,true
2157310,DataTorrent/Malhar,java,90,1380158518,1380164896,1380164896,106,106,github,false,false,10,1,0,0,0,0,0,0,0,0,2,0,0,23,24086,12,6,0,618.1599269285061,10.296437764676575,30.30806277505605,1,ashwinchandrap,5,0.6,0,false,true
2156983,DataTorrent/Malhar,java,89,1380152560,1380155398,1380155398,47,47,github,false,false,10,1,0,0,0,0,2,0,0,2,2,0,0,22,24044,78,74,0,617.7008817168525,10.27283313924472,30.277823989352854,1,ashwinchandrap,4,0.5,0,false,true
2155797,DataTorrent/Malhar,java,87,1380135402,,1380152650,287,,unknown,false,true,10,3,0,1,1,2,2,0,1,3,2,0,0,22,24044,86,74,0,617.7008817168525,10.27283313924472,30.277823989352854,1,ashwinchandrap,3,0.6666666666666666,0,false,true
2155682,DataTorrent/Malhar,java,86,1380128603,1380134270,1380134270,94,94,github,false,false,11,10,0,0,0,0,2,0,9,11,4,3,3,22,23934,29,0,53,620.0384390406953,10.278265229380798,30.416980028411462,1,nickholub,2,0.0,0,false,true
2150870,DataTorrent/Malhar,java,84,1380080991,1380119102,1380119102,635,635,github,false,false,11,2,0,0,0,0,0,0,1,1,0,1,0,20,23934,0,0,28,620.0384390406953,10.278265229380798,30.416980028411462,1,sashadt,2,0.5,0,false,true
2150412,DataTorrent/Malhar,java,81,1380068519,1380120038,1380120039,858,858,github,false,false,11,7,0,1,1,1,1,0,3,4,2,2,0,19,23947,183,0,22,620.2029481772247,10.314444398045683,30.40046769950307,1,ashwinchandrap,2,0.5,0,false,true
2695523,DataTorrent/Malhar,java,79,1380058871,1380059941,1380059941,17,17,github,false,false,11,1,0,0,0,0,15,0,0,15,3,1,3,16,23934,131,32,0,620.0384390406953,10.278265229380798,30.416980028411462,1,sashadt,1,0.0,0,false,true
2695525,DataTorrent/Malhar,java,77,1380049960,1380050557,1380050557,9,9,github,false,false,11,2,0,0,0,0,0,0,3,3,3,0,0,16,23894,75,2,16,620.992717837114,10.295471666527162,30.46789989118607,1,ashwinchandrap,1,0.0,0,false,true
2149684,DataTorrent/Malhar,java,75,1380046461,1380047915,1380047915,24,24,github,false,false,11,12,0,0,0,0,4,2,9,15,13,0,1,16,23738,1297,600,122,622.6725082146769,10.321004296907912,30.62600050551858,1,gauravgopi123,3,0.0,0,false,true
2144033,DataTorrent/Malhar,java,70,1379963291,1379979338,1379979338,267,267,github,false,false,11,1,0,8,8,2,2,0,5,7,10,0,0,14,23685,102,617,18,629.3856871437619,10.344099641123075,30.77897403419886,1,siyuanh,3,0.3333333333333333,0,false,true
2118714,DataTorrent/Malhar,java,69,1379955403,,1379957549,35,,unknown,false,false,11,18,6,0,6,1,12,5,52,69,99,1,0,14,23685,829,1075,0,629.3856871437619,10.344099641123075,30.77897403419886,1,siyuanh,2,0.5,0,false,true
2132506,DataTorrent/Malhar,java,68,1379715537,1380062638,1380062638,5785,5785,commits_in_master,false,false,11,36,0,0,0,1,21,1,31,53,22,2,7,13,23685,2180,0,81,629.3856871437619,10.344099641123075,30.77897403419886,1,nickholub,1,0.0,0,false,true
2111279,DataTorrent/Malhar,java,56,1379521992,1379630442,1379630442,1807,1807,github,true,false,10,1,3,5,8,3,6,4,9,19,36,0,0,10,23791,390,635,70,622.8405699634316,10.213946450338364,30.515741246689924,1,siyuanh,1,0.0,0,false,true
2116512,DataTorrent/Malhar,java,55,1379517395,1379520911,1379520911,58,58,github,false,false,10,4,0,2,2,1,1,4,2,7,6,0,0,9,23790,0,471,10,629.7183690626314,10.256410256410257,30.517023959646913,1,PramodSSImmaneni,0,0,0,false,true
2109755,DataTorrent/Malhar,java,49,1379443737,,1379521933,1303,,unknown,true,false,10,5,4,6,10,2,10,5,37,52,89,1,0,8,23790,661,388,0,629.7183690626314,10.256410256410257,30.517023959646913,1,siyuanh,0,0,0,false,true
2107913,DataTorrent/Malhar,java,42,1379113652,1379113681,1379113681,0,0,github,false,false,10,2,0,0,0,0,0,0,2,2,2,0,0,5,23785,2,13,5,629.472356527223,10.258566323313012,30.523439142316587,0,davidyan-malhar,0,0,0,false,true
2100400,DataTorrent/Malhar,java,31,1379004636,1379340439,1379340439,5596,5596,commits_in_master,false,false,11,1,0,0,0,0,0,0,27,27,27,0,0,2,23785,191,48,217,629.472356527223,10.258566323313012,30.523439142316587,0,tweise,1,0.0,0,false,true
2100009,DataTorrent/Malhar,java,30,1379000636,1379000894,1379000894,4,4,commits_in_master,false,false,11,1,0,0,0,0,0,0,5,5,0,5,0,1,23785,0,0,104,629.472356527223,10.258566323313012,30.523439142316587,0,tweise,0,0,0,false,true
2156777,DataTorrent/Malhar,java,23,1378742668,,1380148414,23429,,unknown,false,false,11,40,0,3,3,3,31,13,27,71,47,3,3,1,23786,6581,182,0,628.1005633565964,10.216093500378372,30.480114352980745,0,gauravgopi123,2,0.0,0,false,true
1987505,DataTorrent/Malhar,java,12,1377530216,1377532964,1377532964,45,45,commits_in_master,false,false,10,6,0,0,0,0,5,0,8,13,8,0,1,1,21981,448,220,28,625.2672762840635,9.690186979664256,32.48259860788863,0,gauravgopi123,1,0.0,0,false,true
2048196,DataTorrent/Malhar,java,1,1375464785,,1377195237,28840,,unknown,false,false,10,0,0,2,2,3,0,0,0,0,0,0,0,0,23926,0,0,0,600.8108334029926,8.986040290896932,30.38535484410265,0,gauravgopi123,0,0,0,false,true


"ID","Type","Stars","Status","Owner","Summary","Opened"
"10355","","3","Released","","change ""inline"" weblink suppliers are arbitrarily chosen from hardcoded set of link names","Jan 22, 2019"
"10354","","10","New","",">= 30s to see code review files and related changes","Jan 22, 2019"
"10353","Bug","11","Accepted","","Importer plugin does not build against the 2.16 API","Jan 22, 2019"
"10352","","2","Invalid","","git commit","Jan 21, 2019"
"10351","Feature","1","Invalid","","Ultra save power mode","Jan 21, 2019"
"10350","","7","New","","trouble with its-jira plugin on gerrit 2.16","Jan 21, 2019"
"10349","","1","Invalid","","Camera doesn't work","Jan 20, 2019"
"10348","","7","New","","Repository filter ""swallows"" charaters when typed fast","Jan 19, 2019"
"10347","Feature","8","AwaitingInformation","","[SUGGESTION] Repository browser improvements","Jan 19, 2019"
"10346","Bug","2","Submitted","","New commit-msg hook breaks ""git commit -v""","Jan 19, 2019"
"10345","Feature","7","New","","Option to limit reviewers-by-blame to new users","Jan 19, 2019"
"10344","","3","Released","","Patch Links (gitiles) is not resolved correctly when baseUrl contains a component in PolyGerrit","Jan 19, 2019"
"10343","Bug","6","Accepted","","Index schema versioning: Add support for minor schema upgrades","Jan 19, 2019"
"10342","","8","New","","error 502 loading diff view","Jan 19, 2019"
"10340","Feature","7","New","","Add review by blame of CR+2","Jan 19, 2019"
"10339","Feature","7","New","","reviewers-by-blame should not readd reviewers who have removed themselves","Jan 19, 2019"
"10338","Feature","9","Accepted","","Warn if someone is @mentioned or mentioned@ in message but not reviewer/cc","Jan 19, 2019"
"10337","Bug","7","ChangeUnderReview","","Support a ""Suggest Reviewer"" button in reviewers-by-blame","Jan 18, 2019"
"10336","Bug","2","Submitted","thoma...@yahoo.com","Reviewers-by-blame: Use batch mode for adding reviewers","Jan 18, 2019"
"10335","","2","WontFix","","Notifications with WIP ","Jan 18, 2019"
"10334","Feature","4","Submitted","","Make gitiles-plugin a core gerrit plugin","Jan 18, 2019"
"10332","","6","New","","change the CL number link at the top left to use a https://crrev.com/c/ style link","Jan 18, 2019"
"10331","Bug","2","Submitted","","Fix support for master in reviewers-by-blame","Jan 18, 2019"
"10329","Feature","6","New","","Make it easier to persist the state of large reviews","Jan 18, 2019"
"10328","Feature","8","ChangeUnderReview","","Use a specified account for adding reviewers in reviewers-by-blame","Jan 18, 2019"
"10327","","6","New","","emoji in code review comments handled very suboptimally","Jan 18, 2019"
"10326","Bug","3","Released","","calling /projects/ endpoint on a 2.15 and 2.16 causes an explosion of memory usage","Jan 18, 2019"
"10325","Bug","6","New","","Superproject subscription works after topic which has removal of submodule","Jan 17, 2019"
"10324","Bug","2","Released","","Repository still listed after deletion - requires page reload (F5)","Jan 17, 2019"
"10323","Feature","1","WontFix","","Analytics Dashboard importer dump kibana data and settings","Jan 17, 2019"
"10322","Bug","7","New","luca....@gmail.com","Gerrit projects are reindexed during init when there is no need for it","Jan 17, 2019"
"10321","Feature","2","Submitted","synto...@gmail.com","Allow plugin healthcheck to format response in prometheus format","Jan 17, 2019"
"10320","Bug","1","Submitted","","Deleting project fails with HTTP 404 w/ bundled delete-project plugin","Jan 17, 2019"
"10319","Bug","1","WontFix","synto...@gmail.com","ETL Dashboard importer - persist filters when navigating through dashboards","Jan 17, 2019"
"10318","Feature","6","ChangeUnderReview","","Add support for exempting users from reviewers-by-blame","Jan 17, 2019"
"10317","Bug","2","Released","","""Same Topic"" section is shown on change screen when there is only one change (the current change)","Jan 17, 2019"
"10316","Feature","3","Submitted","fabio...@gmail.com","Create subcommand graphs","Jan 17, 2019"
"10315","","6","New","jmad...@chromium.org","Comments don't seem to be able to select regions of text in PolyGerrit any more","Jan 17, 2019"
"10313","Bug","6","New","","Multi-line code snippet doesn’t show up in generated e-mail when commented on","Jan 16, 2019"
"10312","","6","Incomplete","","Badly constructed Gitweb link.","Jan 16, 2019"
"10311","","8","New","","502 error HTML injected into code review as text","Jan 16, 2019"
"10310","","6","New","","Comments made in the base file are not showing up in further diffs","Jan 16, 2019"
"10309","","5","Released","thoma...@yahoo.com","Not able to override default query limit for a group from UI","Jan 16, 2019"
"10308","","7","New","","Names with accented characters not matched when typing non-accented characters","Jan 16, 2019"
"10307","Feature","5","Submitted","fabio...@gmail.com","Auditlog plugin generates pregress audit logs","Jan 16, 2019"
"10306","Feature","6","New","","Configure in refs/meta/config branch of All-Projects, could be added as another configuration option","Jan 16, 2019"
"10305","Feature","6","New","","Notify the User and or Admin when a warning limit is reached","Jan 16, 2019"
"10304","Feature","6","New","","REST API for the ssh commands introduced here since we can't use ssh in the cloud","Jan 16, 2019"
"10303","Feature","6","New","","Display permits used instead of or in addition to permits available","Jan 16, 2019"
"10302","Feature","6","New","","Instead of hard coding the time interval the rate is limiting, make it configurable","Jan 16, 2019"
"10301","Feature","6","New","","Add readable texts to the rate limit type enum, to be reused in messages","Jan 15, 2019"
"10300","Feature","5","New","","Add the RateLimiter to the exception so that its configuration can be accessed","Jan 15, 2019"
"10299","Feature","5","New","","Consider the emerging quota(s) framework in/from master","Jan 15, 2019"
"10298","","6","New","","Sticky top header bar results in worse UX than a fixed top bar","Jan 15, 2019"
"10297","Feature","5","New","","Provide a way to get all hashtags used on a project","Jan 15, 2019"
"10296","","8","New","","Gerrit @ googlesource is slow","Jan 15, 2019"
"10295","","7","New","","Condense sets of trivial rebase by default or with option","Jan 15, 2019"
"10294","Feature","2","WontFix","","No edit button for files in the new UI","Jan 15, 2019"
"10293","Bug","2","Released","vapier@chromium.org","repo sync says ""ValueError: generator already executing"" when running in parallel","Jan 13, 2019"
"10292","","6","New","","gerrit pages needs lots of ram","Jan 12, 2019"
"10290","","1","Invalid","","لا استطيع تسجيل دخول لحساب gmail","Jan 12, 2019"
"10289","Bug","5","Accepted","","Potentially missing implementations for {GroupReindexRunnable|ProjectReindexRunnable}::indexIfNeeded","Jan 12, 2019"
"10288","","5","New","","new gerrit docker cannot restart, what a disaster.......","Jan 11, 2019"
"10287","","5","New","","Default editor and diff settings ignored for anonymous settings","Jan 11, 2019"
"10286","Bug","5","AwaitingInformation","","/register under polygerrit causing redirect loop","Jan 11, 2019"
"10285","Bug","5","New","","gr-registration-dialog is broken","Jan 11, 2019"
"10284","Feature","8","Accepted","tiago...@gmail.com","Setup HA Gerrit test environment on Google kubernetes engine","Jan 11, 2019"
"10283","Bug","6","New","","Add default colour to header (and footer?)","Jan 10, 2019"
"10282","Bug","6","New","","Display checkerboard background ""under"" images that have some transparency","Jan 10, 2019"
"10281","Bug","7","Released","jbl...@redhat.com","XSRF token not set when requesting root path ""/""","Jan 10, 2019"
"10280","Bug","7","New","","Prevent pushing empty commits (notes) and refs/changes/***/meta","Jan 10, 2019"
"10279","","6","Released","","Syntax highlighting broken for Dart files","Jan 10, 2019"
"10278","Bug","6","New","","uploadvalidator plugin detects plain-text file as application/octet-stream","Jan 10, 2019"
"10277","Feature","5","Duplicate","","Please offer sticky comments, or present comments on 'base' revision.","Jan 10, 2019"
"10276","Bug","7","Started","synto...@gmail.com","Anomalous increase in thread consumption","Jan 10, 2019"
"10275","Bug","6","New","","migrate gerrit docker to another server failed(Maybe noteDb resulted in this issue)","Jan 9, 2019"
"10274","","3","Duplicate","","Settings does not work on PolyGerrit UI with enableGwtUi = false","Jan 9, 2019"
"10272","","6","New","","On large CL it shows an error message when loading","Jan 9, 2019"
"10271","Bug","6","ChangeUnderReview","","GitHub plugin: implement bazel build","Jan 9, 2019"
"10270","","5","New","","Per-character changes not being highlighted in some files","Jan 9, 2019"
"10268","Feature","7","New","","Add support for forcing replication of a certain repo","Jan 8, 2019"
"10267","","1","Released","","No Syntax Highlighting for Groovy with PolyGerrit","Jan 8, 2019"
"10266","","6","New","","Dissociate my old google.com account from my personal account","Jan 7, 2019"
"10265","Bug","9","New","","NullPointerException when deleting a draft comment","Jan 7, 2019"
"10264","","5","New","","BROWSE - Repositories Filter Fails","Jan 7, 2019"
"10263","Bug","1","Released","","Cannot get change edit ref using the API","Jan 7, 2019"
"10262","Bug","2","Released","","AdvertiseRefsHook is not called for git-upload-pack in protocol v0 stateless transports","Jan 7, 2019"
"10261","Feature","6","New","","Allow users to keep the repo on github in sync with gerrit (or vice versa)","Jan 7, 2019"
"10260","Bug","2","Released","luca....@gmail.com","Replication events are lost when configuration gets reloaded","Jan 6, 2019"
"10259","","1","Invalid","","?","Jan 5, 2019"
"10258","","1","Duplicate","","Upgrade from 2.13.6 -> 2.16.2 fails","Jan 5, 2019"
"10257","","4","New","","Un-expanding long files puts the screen position too low","Jan 5, 2019"
"10256","Bug","4","New","","Invalid owner definition causes inherited owners to be silently dropped","Jan 5, 2019"
"10255","Feature","1","Invalid","","4g/LTE only","Jan 5, 2019"
"10254","","4","New","","UI does not or not always report which changes in a series have been pushed","Jan 5, 2019"
"10252","Feature","1","Submitted","fabio...@gmail.com","Add ""user_type"" in auditlog index definition ","Jan 4, 2019"
"10251","Feature","1","Duplicate","","avoir une valeur par défaut pour le bouton ""only comments' au niveau des change log lors de la review","Jan 4, 2019"
"10250","","4","New","","An error occurred -- Account %emailaddress% is not found or ambiguous","Jan 4, 2019"
"10249","Bug","6","Untriaged","","Changes to ToT between 2 different patch-sets show up as a diff between the patch-sets","Apr 14, 2018"
"10248","Bug","9","Released","","Schema migration 2.14 -> 2.16 fails","Jan 4, 2019"

"material","type","subtype","energyPerMass","massCO2PerMass","massCO2ePerMass","boundary","note","units","source"
"Aggregate","General","Gravel or crushed rock",0.083,0.005,0.005,"Cradle to gate","Estimated from measured UK industrial fuel consumption data",,"http://people.bath.ac.uk/cj219/"
"Aluminium","Cast products","Average",159.335,8.285,9.220,"Cradle to gate","Worldwide average recycled content of 33%.",,"http://people.bath.ac.uk/cj219/"
"Aluminium","Cast products","Recycled",25.000,1.350,1.450,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Aluminium","Cast products","Virgin",225.500,11.700,13.100,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Aluminium","Extruded","Average",154.265,8.157,9.080,"Cradle to gate","Worldwide average recycled content of 33%.",,"http://people.bath.ac.uk/cj219/"
"Aluminium","Extruded","Recycled",34.000,1.980,2.120,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Aluminium","Extruded","Virgin",213.500,11.200,12.500,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Aluminium","General","Average",155.000,8.236,9.160,"Cradle to gate","Assumed (UK) ratio of 25.6% extrusions, 55.7% Rolled and 18.7% castings. Worldwide average recycled content of 33%.",,"http://people.bath.ac.uk/cj219/"
"Aluminium","General","Recycled",29.000,1.690,1.810,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Aluminium","General","Virgin",217.694,11.461,12.790,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Aluminium","Rolled","Average",155.000,8.256,9.180,"Cradle to gate","Worldwide average recycled content of 33%.",,"http://people.bath.ac.uk/cj219/"
"Aluminium","Rolled","Recycled",28.000,1.670,1.790,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Aluminium","Rolled","Virgin",217.000,11.500,12.800,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Asbestos",,,7.400,,,"Not specified","Ref. 4.",,"http://people.bath.ac.uk/cj219/"
"Asphalt","4% binder content by mass",,2.860,0.059,0.066,"Cradle to gate","1.68 MJ/kg Feedstock Energy (Included). Modelled from the bitumen binder content. The fuel consumption of asphalt mixing operations was taken from the Mineral Products Association (MPA). It represents typical UK industrial data.",,"http://people.bath.ac.uk/cj219/"
"Asphalt","5% binder content by mass",,3.390,0.064,0.071,"Cradle to gate","2.10 MJ/kg Feedstock Energy (Included). Modelled from the bitumen binder content. The fuel consumption of asphalt mixing operations was taken from the Mineral Products Association (MPA). It represents typical UK industrial data.",,"http://people.bath.ac.uk/cj219/"
"Asphalt","6% binder content by mass",,3.930,0.068,0.076,"Cradle to gate","2.52 MJ/kg Feedstock Energy (Included). Modelled from the bitumen binder content. The fuel consumption of asphalt mixing operations was taken from the Mineral Products Association (MPA). It represents typical UK industrial data.",,"http://people.bath.ac.uk/cj219/"
"Asphalt","7% binder content by mass",,4.460,0.072,0.081,"Cradle to gate","2.94 MJ/kg Feedstock Energy (Included). Modelled from the bitumen binder content. The fuel consumption of asphalt mixing operations was taken from the Mineral Products Association (MPA). It represents typical UK industrial data.",,"http://people.bath.ac.uk/cj219/"
"Asphalt","8% binder content by mass",,5.000,0.076,0.086,"Cradle to gate","3.36 MJ/kg Feedstock Energy (Included). Modelled from the bitumen binder content. The fuel consumption of asphalt mixing operations was taken from the Mineral Products Association (MPA). It represents typical UK industrial data.",,"http://people.bath.ac.uk/cj219/"
"Bitumen","General","Lower",51.000,0.380,0.430,"Cradle to gate","42 MJ/kg Feedstock Energy  (Included).  Feedstock assumed to be typical energy content of Bitumen. Carbon dioxide emissions are particularly difficult to estimate; range given.",,"http://people.bath.ac.uk/cj219/"
"Bitumen","General","Mean",51.000,0.405,0.490,"Cradle to gate","42 MJ/kg Feedstock Energy  (Included).  Feedstock assumed to be typical energy content of Bitumen. Carbon dioxide emissions are particularly difficult to estimate; range given.",,"http://people.bath.ac.uk/cj219/"
"Bitumen","General","Upper",51.000,0.430,0.550,"Cradle to gate","42 MJ/kg Feedstock Energy  (Included).  Feedstock assumed to be typical energy content of Bitumen. Carbon dioxide emissions are particularly difficult to estimate; range given.",,"http://people.bath.ac.uk/cj219/"
"Brass","General","Average",44.000,2.460,2.640,"Cradle to gate","Poor data availability. It is believed that the data may be largely dependent upon ore grade.  Poor carbon data making estimate of embodied carbon difficult.",,"http://people.bath.ac.uk/cj219/"
"Brass","General","Recycled",20.000,1.120,1.200,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Brass","General","Virgin",80.000,4.470,4.800,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Bricks","General","Common Brick",3.000,0.230,0.240,"Cradle to gate","Assuming 2.3 kg per brick.",,"http://people.bath.ac.uk/cj219/"
"Bricks","Limestone",,0.850,,,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Bronze","General",,69.000,3.730,4.000,"Not specified","Average of the only two references",,"http://people.bath.ac.uk/cj219/"
"Calcium silicate sheet",,,2.000,0.130,,"Not specified","Ref. 55.",,"http://people.bath.ac.uk/cj219/"
"Carpet","Felt underlay","Hair and Jute",19.000,0.970,,"Cradle to grave","Ref. 94.",,"http://people.bath.ac.uk/cj219/"
"Carpet","General",,74.000,3.900,,"Cradle to grave","For per square meter estimates see material profile. Difficult to estimate; taken from Ref. 94.",,"http://people.bath.ac.uk/cj219/"
"Carpet","Nylon (Polyamide)","Pile weight 1100 g/m2",122.152,6.873,6.873,"Cradle to grave","Total weight of this carpet 2,677 g/m2. See Refs. 277 and 279. These carpets (inc. below) are a tufted surface pile made of 100% nylon (polyamide) with a woven textile backing and flame proofed on the basis of aluminium hydroxide.",,"http://people.bath.ac.uk/cj219/"
"Carpet","Nylon (Polyamide)","Pile weight 300 g/m2",88.016,4.536,4.536,"Cradle to grave","Total weight of this carpet 1477 g/m2. See Refs. 277 and 279. These carpets (inc. below) are a tufted surface pile made of 100% nylon (polyamide) with a woven textile backing and flame proofed on the basis of aluminium hydroxide.",,"http://people.bath.ac.uk/cj219/"
"Carpet","Nylon (Polyamide)","Pile weight 500 g/m2",97.986,5.280,5.280,"Cradle to grave","Total weight of this carpet 1837 g/m2. See Refs. 277 and 279. These carpets (inc. below) are a tufted surface pile made of 100% nylon (polyamide) with a woven textile backing and flame proofed on the basis of aluminium hydroxide.",,"http://people.bath.ac.uk/cj219/"
"Carpet","Nylon (Polyamide)","Pile weight 700 g/m2",107.126,5.915,5.915,"Cradle to grave","Total weight of this carpet 2147 g/m2. See Refs. 277 and 279. These carpets (inc. below) are a tufted surface pile made of 100% nylon (polyamide) with a woven textile backing and flame proofed on the basis of aluminium hydroxide.",,"http://people.bath.ac.uk/cj219/"
"Carpet","Nylon (Polyamide)","Pile weight 900 g/m2",114.133,6.428,6.428,"Cradle to grave","Total weight of this carpet 2,427 g/m2. See Refs. 277 and 279. These carpets (inc. below) are a tufted surface pile made of 100% nylon (polyamide) with a woven textile backing and flame proofed on the basis of aluminium hydroxide.",,"http://people.bath.ac.uk/cj219/"
"Carpet","Nylon (Polyamide) tiles","Pile weight 1100 g/m2",73.785,3.845,3.845,"Cradle to grave","Total weight of this carpet 5,123 g/m2. See Refs. 277 and 279. These carpet tiles (inc. below) are a tufted surface pile made of 100% nylon (polyamide) fleece-covered bitumen backing and flame-proofed on the basis of aluminium hydroxide",,"http://people.bath.ac.uk/cj219/"
"Carpet","Nylon (Polyamide) tiles","Pile weight 300 g/m2",43.172,1.880,1.880,"Cradle to grave","Total weight of this carpet 4,123 g/m2. See Refs. 277 and 279. These carpet tiles (inc. below) are a tufted surface pile made of 100% nylon (polyamide) fleece-covered bitumen backing and flame-proofed on the basis of aluminium hydroxide",,"http://people.bath.ac.uk/cj219/"
"Carpet","Nylon (Polyamide) tiles","Pile weight 500 g/m2",52.367,2.447,2.447,"Cradle to grave","Total weight of this carpet 4,373 g/m2. See Refs. 277 and 279. These carpet tiles (inc. below) are a tufted surface pile made of 100% nylon (polyamide) fleece-covered bitumen backing and flame-proofed on the basis of aluminium hydroxide",,"http://people.bath.ac.uk/cj219/"
"Carpet","Nylon (Polyamide) tiles","Pile weight 700 g/m2",60.350,2.963,2.963,"Cradle to grave","Total weight of this carpet 4,623 g/m2. See Refs. 277 and 279. These carpet tiles (inc. below) are a tufted surface pile made of 100% nylon (polyamide) fleece-covered bitumen backing and flame-proofed on the basis of aluminium hydroxide",,"http://people.bath.ac.uk/cj219/"
"Carpet","Nylon (Polyamide) tiles","Pile weight 900 g/m2",67.310,3.427,3.427,"Cradle to grave","Total weight of this carpet 4,873 g/m2. See Refs. 277 and 279. These carpet tiles (inc. below) are a tufted surface pile made of 100% nylon (polyamide) fleece-covered bitumen backing and flame-proofed on the basis of aluminium hydroxide",,"http://people.bath.ac.uk/cj219/"
"Carpet","Polyethylterepthalate (PET)",,106.500,5.560,,"Cradle to grave","Includes feedstock energy",,"http://people.bath.ac.uk/cj219/"
"Carpet","Polypropylene",,95.400,4.980,,"Cradle to grave","Includes feedstock energy, for per square meter see material profile",,"http://people.bath.ac.uk/cj219/"
"Carpet","Polyurethane",,72.100,3.760,,"Cradle to grave","Includes feedstock energy",,"http://people.bath.ac.uk/cj219/"
"Carpet","Rubber","Lower",67.500,3.610,,"Cradle to grave",,,"http://people.bath.ac.uk/cj219/"
"Carpet","Rubber","Mean",103.750,5.545,,"Cradle to grave",,,"http://people.bath.ac.uk/cj219/"
"Carpet","Rubber","Upper",140.000,7.480,,"Cradle to grave",,,"http://people.bath.ac.uk/cj219/"
"Carpet","Saturated felt underlay","Impregnated with asphalt or tar",31.700,1.650,,"Cradle to grave","Ref. 94.",,"http://people.bath.ac.uk/cj219/"
"Carpet","Wool",,106.000,5.530,,"Cradle to grave","For per square meter see material profile. See Refs. 63, 201, 202 and 281 (Same author).",,"http://people.bath.ac.uk/cj219/"
"Carpet grout",,,30.800,,,"Not specified","Ref. 169.",,"http://people.bath.ac.uk/cj219/"
"Cement","21-35% fly ash (CEM II/B-V)","21% fly ash",4.450,0.740,0.750,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","21-35% fly ash (CEM II/B-V)","35% fly ash",3.680,0.610,0.620,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","21-35% fly ash (CEM II/B-V)","Mean",4.065,0.675,0.685,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","21-35% GGBS (CEM II/B-S)","21% GGBS",4.770,0.760,0.770,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","21-35% GGBS (CEM II/B-S)","35% GGBS",4.210,0.640,0.650,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","21-35% GGBS (CEM II/B-S)","Mean",4.490,0.700,0.710,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","36-65% GGBS (CEM III/A)","36% GGBS",4.170,0.630,0.640,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","36-65% GGBS (CEM III/A)","65% GGBS",3.000,0.380,0.390,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","36-65% GGBS (CEM III/A)","Mean",3.585,0.505,0.515,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","6-20% fly ash (CEM II/A-V)","20% fly ash",4.510,0.750,0.760,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","6-20% fly ash (CEM II/A-V)","6% fly ash",5.280,0.880,0.890,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","6-20% fly ash (CEM II/A-V)","Mean",4.895,0.815,0.825,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","66-80% GGBS (CEM II/B)","66% GGBS",2.960,0.370,0.380,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","66-80% GGBS (CEM II/B)","80% GGBS",2.400,0.250,0.260,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","66-80% GGBS (CEM II/B)","Mean",2.680,0.310,0.320,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","Average CEM I Portland Cement (94% Clinker)",,5.500,0.930,0.950,"Cradle to gate","This is a standard cement with no cementitious additions (i.e. fly ash or blast furnace slag). Composition 94% clinker, 5% gypsum, 1% minor additional constituents (mac's). This data has been estimated from the British Cement Association's factsheets.",,"http://people.bath.ac.uk/cj219/"
"Cement","Cement stabilised soil",5%,0.680,0.060,0.061,"Cradle to gate","Assumed 5% cement content.",,"http://people.bath.ac.uk/cj219/"
"Cement","Cement stabilised soil",8%,0.830,0.082,0.084,"Cradle to gate","Assumed 8% stabiliser contents (6% cement and 2% quicklime)",,"http://people.bath.ac.uk/cj219/"
"Cement","Fibre Cement  Panels","Coated",15.300,1.280,,"Cradle to gate","Few data points. Selected data modified from Ref. 107.",,"http://people.bath.ac.uk/cj219/"
"Cement","Fibre Cement Panels","Uncoated",10.400,1.090,,"Cradle to gate","Few data points. Selected data modified from Ref. 107.",,"http://people.bath.ac.uk/cj219/"
"Cement","General","UK weighted average",4.510,0.730,0.740,"Cradle to gate","Weighted average of all cement consumed within the UK. This includes all factory made cements (CEM I, CEM II, CEM III, CEM IV) and further blending of fly ash and ground granulated blast furnace slag.",,"http://people.bath.ac.uk/cj219/"
"Cement","Mortar","1:0.5:4.5 cement:lime:sand mix",1.340,0.200,0.213,"Cradle to gate","Values estimated from the ICE Cement, Mortar and Concrete Model",,"http://people.bath.ac.uk/cj219/"
"Cement","Mortar","1:1:6 cement:lime:sand mix",1.110,0.163,0.174,"Cradle to gate","Values estimated from the ICE Cement, Mortar and Concrete Model",,"http://people.bath.ac.uk/cj219/"
"Cement","Mortar","1:2:9 cement:lime:sand mix",1.030,0.145,0.155,"Cradle to gate","Values estimated from the ICE Cement, Mortar and Concrete Model",,"http://people.bath.ac.uk/cj219/"
"Cement","Mortar","1:3 cement:sand mix",1.330,0.208,0.221,"Cradle to gate","Values estimated from the ICE Cement, Mortar and Concrete Model",,"http://people.bath.ac.uk/cj219/"
"Cement","Mortar","1:4 cement:sand mix",1.110,0.171,0.182,"Cradle to gate","Values estimated from the ICE Cement, Mortar and Concrete Model",,"http://people.bath.ac.uk/cj219/"
"Cement","Mortar","1:5 cement:sand mix",0.970,0.146,0.156,"Cradle to gate","Values estimated from the ICE Cement, Mortar and Concrete Model",,"http://people.bath.ac.uk/cj219/"
"Cement","Mortar","1:6 cement:sand mix",0.850,0.127,0.136,"Cradle to gate","Values estimated from the ICE Cement, Mortar and Concrete Model",,"http://people.bath.ac.uk/cj219/"
"Ceramics","Fittings",,20.000,1.070,1.140,"Cradle to gate","Ref. 1.",,"http://people.bath.ac.uk/cj219/"
"Ceramics","General",,10.000,0.660,0.700,"Cradle to gate","Very large data range, difficult to select values for general ceramics.",,"http://people.bath.ac.uk/cj219/"
"Ceramics","Sanitary products",,29.000,1.510,1.610,"Cradle to gate","Limited data.",,"http://people.bath.ac.uk/cj219/"
"Ceramics","Tiles and cladding panels",,12.000,0.740,0.780,"Cradle to gate","Difficult to select, large range, limited data. See Ref. 292.",,"http://people.bath.ac.uk/cj219/"
"Chromium",,,83.000,5.390,,"Not specified","Ref. 22.",,"http://people.bath.ac.uk/cj219/"
"Clay","General (simple baked products)",,3.000,0.230,0.240,"Cradle to gate","General simple baked clay products (inc. terracotta and bricks)",,"http://people.bath.ac.uk/cj219/"
"Clay","Tile",,6.500,0.450,0.480,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Clay","Vitrified clay pipe","DN 100",6.200,0.438,0.460,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Clay","Vitrified clay pipe","DN 150",6.200,0.438,0.460,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Clay","Vitrified clay pipe","DN 200",7.000,0.478,0.500,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Clay","Vitrified clay pipe","DN 300",7.000,0.478,0.500,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Clay","Vitrified clay pipe","DN 500",7.900,0.519,0.550,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Copper","EU Tube and Sheet","Average",42.000,2.600,2.710,"Cradle to gate","EU production data, estimated from Kupfer Institut LCI data. 37% recycled content (the 3 year world average). World average data is expected to be higher than these values.",,"http://people.bath.ac.uk/cj219/"
"Copper","EU Tube and Sheet","Recycled",16.500,0.800,0.840,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Copper","EU Tube and Sheet","Virgin",57.000,3.650,3.810,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Copper","Recycled from high grade scrap",,18.000,1.100,,"Cradle to gate","Uncertain, difficult to estimate with the data available.",,"http://people.bath.ac.uk/cj219/"
"Copper","Recycled from low grade scrap",,50.000,3.100,,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Cotton","Fabric",,143.000,6.780,,"Not specified","Ref. 38.",,"http://people.bath.ac.uk/cj219/"
"Cotton","Padding",,27.100,1.280,,"Not specified","Ref. 38.",,"http://people.bath.ac.uk/cj219/"
"Damp proof course/membrane",,,134.000,4.200,,"Not specified","Uncertain estimate.",,"http://people.bath.ac.uk/cj219/"
"Felt","General",,36.000,,,"Not specified",,,"http://people.bath.ac.uk/cj219/"
"Flax",,,33.500,1.700,,"Not specified","Ref. 2.",,"http://people.bath.ac.uk/cj219/"
"Fly Ash",,,0.100,0.008,,"Not specified","No allocation from fly ash producing system.",,"http://people.bath.ac.uk/cj219/"
"Glass","Fibreglass","Glasswool",28.000,1.540,,"Cradle to gate","Large data range, but the selected value is inside a small band of frequently quoted values.",,"http://people.bath.ac.uk/cj219/"
"Glass","Primary Glass",,15.000,0.860,0.910,"Cradle to gate","Includes process CO2 emissions from primary glass manufacture.",,"http://people.bath.ac.uk/cj219/"
"Glass","Secondary Glass",,11.500,0.550,0.590,"Cradle to gate","EE estimated from Ref 115.",,"http://people.bath.ac.uk/cj219/"
"Glass","Toughened",,23.500,1.270,1.350,"Cradle to gate","Only three data sources",,"http://people.bath.ac.uk/cj219/"
"Glass reinforced plastic / fibreglass",,,100.000,8.100,,"Not specified","Ref. 1.",,"http://people.bath.ac.uk/cj219/"
"Grit",,,0.115,0.007,,"Not specified","Ref. 114.",,"http://people.bath.ac.uk/cj219/"
"Ground limestone",,,0.620,0.032,,"Not specified",,,"http://people.bath.ac.uk/cj219/"
"Insulation","Cellular Glass",,27.000,,,"Unknown","Ref. 54.",,"http://people.bath.ac.uk/cj219/"
"Insulation","Cellulose","Lower",0.940,,,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Insulation","Cellulose","Mean",2.120,,,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Insulation","Cellulose","Upper",3.300,,,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Insulation","Cork",,4.000,0.190,,"Cradle to gate","Ref. 55.",,"http://people.bath.ac.uk/cj219/"
"Insulation","Fibreglass","Glasswool",28.000,1.350,,"Cradle to site","Poor data difficult to select appropriate value",,"http://people.bath.ac.uk/cj219/"
"Insulation","Flax","Insulation",39.500,1.700,,"Cradle to grave","Ref. 2. 5.97 MJ/kg Feedstock Energy  (Included)",,"http://people.bath.ac.uk/cj219/"
"Insulation","General Insulation",,45.000,1.860,,"Cradle to gate","Estimated from typical market shares. Feedstock Energy 16.5 MJ/kg  (Included)",,"http://people.bath.ac.uk/cj219/"
"Insulation","Mineral wool",,16.600,1.200,1.280,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Insulation","Paper wool",,20.170,0.630,,"Cradle to grave","Ref. 2",,"http://people.bath.ac.uk/cj219/"
"Insulation","Rockwool",,16.800,1.050,1.120,"Cradle to grave","Cradle to Grave",,"http://people.bath.ac.uk/cj219/"
"Insulation","Woodwool","Board",20.000,0.980,,"Cradle to gate","Ref. 55.",,"http://people.bath.ac.uk/cj219/"
"Insulation","Woodwool","Loose",10.800,,,"Cradle to gate","Ref. 205.",,"http://people.bath.ac.uk/cj219/"
"Insulation","Wool","Recycled",20.900,,,"Cradle to gate","Refs. 63, 201, 202 and 281.",,"http://people.bath.ac.uk/cj219/"
"Iron","General",,25.000,1.910,2.032,"Cradle to gate","It was difficult to estimate the embodied energy and carbon of iron with the data available.",,"http://people.bath.ac.uk/cj219/"
"Lead","General","Average",25.210,1.570,1.668,"Cradle to gate","Allocated (divided) on a mass basis, assumes recycling rate of 61%",,"http://people.bath.ac.uk/cj219/"
"Lead","General","Recycled",10.000,0.540,0.580,"Cradle to gate","Scrap batteries are a main feedstock for recycled lead",,"http://people.bath.ac.uk/cj219/"
"Lead","General","Virgin",49.000,3.180,3.370,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Lime","General",,5.300,0.760,0.780,"Cradle to gate","Embodied carbon was difficult to estimate",,"http://people.bath.ac.uk/cj219/"
"Linoleum","General",,25.000,1.210,,"Cradle to grave","Data difficult to select, large data range.",,"http://people.bath.ac.uk/cj219/"
"Lithium",,,853.000,5.300,,"Not specified","Ref. 22.",,"http://people.bath.ac.uk/cj219/"
"Mandolite",,,63.000,1.400,,"Not specified","Ref. 1.",,"http://people.bath.ac.uk/cj219/"
"Manganese",,,52.000,3.500,,"Not specified","Ref. 22.",,"http://people.bath.ac.uk/cj219/"
"Mercury",,,87.000,4.940,,"Not specified","Ref. 22.",,"http://people.bath.ac.uk/cj219/"
"Mineral fibre tile","Roofing",,37.000,2.700,,"Not specified","Ref. 1.",,"http://people.bath.ac.uk/cj219/"
"Molybedenum",,,378.000,30.300,,"Not specified","Ref. 22.",,"http://people.bath.ac.uk/cj219/"
"Nickel",,,164.000,12.400,,"Not specified","Ref. 114.",,"http://people.bath.ac.uk/cj219/"
"Paint","General",,70.000,2.420,2.910,"Cradle to gate","Large variations in data, especially for embodied carbon. Includes feedstock energy. Water based paints have a 70% market share.  Water based paint has a lower embodied energy than solvent based paint.",,"http://people.bath.ac.uk/cj219/"
"Paint","Solventborne",,97.000,3.130,3.760,"Cradle to gate","Solventborne paint has a 30% share of the market. Includes feedstock energy.  It was  difficult to estimate carbon emissions for Solventborne paint.",,"http://people.bath.ac.uk/cj219/"
"Paint","Waterborne",,59.000,2.120,2.540,"Cradle to gate","Waterborne paint has a 70% of market share. Includes feedstock energy.",,"http://people.bath.ac.uk/cj219/"
"Paper","Fine",,28.200,1.490,,"Cradle to gate","Excluding CV of wood, excludes carbon sequestration",,"http://people.bath.ac.uk/cj219/"
"Paper","Paperboard","General for construction use",24.800,1.290,,"Cradle to gate","Excluding calorific value (CV) of wood, excludes carbon sequestration/biogenic carbon storage.",,"http://people.bath.ac.uk/cj219/"
"Paper","Wallpaper",,36.400,1.930,,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Perlite","Expanded",,10.000,0.520,,"Not specified","Ref. 114.",,"http://people.bath.ac.uk/cj219/"
"Perlite","Natural",,0.660,0.030,,"Not specified","Ref. 114.",,"http://people.bath.ac.uk/cj219/"
"Plaster","General (Gypsum)",,1.800,0.120,0.130,"Cradle to gate","Problems selecting good value, inconsistent figures, West et al believe this is because of past aggregation of EE with cement",,"http://people.bath.ac.uk/cj219/"
"Plaster","Plasterboard",,6.750,0.380,0.390,"Cradle to gate","See Ref [WRAP] for further info on GWP data, including disposal impacts which are significant for Plasterboard.",,"http://people.bath.ac.uk/cj219/"
"Plastics","ABS",,95.300,3.050,3.760,"Cradle to gate","48.6 MJ/kg Feedstock Energy  (Included)",,"http://people.bath.ac.uk/cj219/"
"Plastics","General",,80.500,2.730,3.310,"Cradle to gate","35.6 MJ/kg Feedstock Energy  (Included). Determined by the average use of each type of plastic used in the European construction industry.",,"http://people.bath.ac.uk/cj219/"
"Plastics","General polyethylene",,83.100,2.040,2.540,"Cradle to gate","54.4 MJ/kg Feedstock Energy  (Included). Based on average consumption of types of polyethylene in European construction",,"http://people.bath.ac.uk/cj219/"
"Plastics","High Density Polyethylene Pipe",,84.400,2.020,2.520,"Cradle to gate","55.1 MJ/kg Feedstock Energy  (Included)",,"http://people.bath.ac.uk/cj219/"
"Plastics","High Density Polyethylene Resin",,76.700,1.570,1.930,"Cradle to gate","54.3 MJ/kg Feedstock Energy  (Included). Doesn’t include the final fabrication.",,"http://people.bath.ac.uk/cj219/"
"Plastics","Low Density Polyethylene  Film",,89.300,2.130,2.600,"Cradle to gate","55.2 MJ/kg Feedstock Energy (Included)",,"http://people.bath.ac.uk/cj219/"
"Plastics","Low Density Polyethylene Resin",,78.100,1.690,2.080,"Cradle to gate","51.6 MJ/kg Feedstock Energy  (Included). Doesn't include the final fabrication",,"http://people.bath.ac.uk/cj219/"
"Plastics","Nylon (Polyamide)","6 Polymer",120.500,5.470,9.140,"Cradle to gate","38.6 MJ/kg Feedstock Energy  (Included). Doesn’t include final fabrication. Plastics Europe state that two thirds of nylon is used as fibres (textiles, carpets…etc) in Europe and that most of the remainder as injection mouldings.",,"http://people.bath.ac.uk/cj219/"
"Plastics","Nylon (Polyamide)","6,6 Polymer",138.600,6.540,7.920,"Cradle to gate","50.7 MJ/kg Feedstock Energy  (Included). Doesn’t include final fabrication (i.e. injection moulding). See comments for Nylon 6 polymer.",,"http://people.bath.ac.uk/cj219/"
"Plastics","Polycarbonate",,112.900,6.030,7.620,"Cradle to gate","36.7 MJ/kg Feedstock Energy  (Included). Doesn’t include final fabrication.",,"http://people.bath.ac.uk/cj219/"
"Plastics","Polypropylene","Injection Moulding",115.100,3.930,4.490,"Cradle to gate","54 MJ/kg Feedstock Energy  (Included). If biomass benefits are included the CO2 may reduce to 3.85 kgCO2/kg, and GWP down to 4.41 kg CO2e/kg.",,"http://people.bath.ac.uk/cj219/"
"Plastics","Polypropylene","Orientated film",99.200,2.970,3.430,"Cradle to gate","55.7 MJ/kg Feedstock Energy  (Included).",,"http://people.bath.ac.uk/cj219/"
"Plastics","Polystyrene","Expanded",88.600,2.550,3.290,"Cradle to gate","46.2 MJ/kg Feedstock Energy  (Included)",,"http://people.bath.ac.uk/cj219/"
"Plastics","Polystyrene","General purpose",86.400,2.710,3.430,"Cradle to gate","46.3 MJ/kg Feedstock Energy  (Included)",,"http://people.bath.ac.uk/cj219/"
"Plastics","Polystyrene","High impact",87.400,2.760,3.420,"Cradle to gate","46.4 MJ/kg Feedstock Energy  (Included)",,"http://people.bath.ac.uk/cj219/"
"Plastics","Polystyrene","Thermoformed expanded",109.200,3.450,4.390,"Cradle to gate","49.7 MJ/kg Feedstock Energy  (Included)",,"http://people.bath.ac.uk/cj219/"
"Plastics","Polyurethane flexible foam",,102.100,4.060,4.840,"Cradle to gate","33.47 MJ/kg Feedstock Energy  (Included). Poor data availability for feedstock energy",,"http://people.bath.ac.uk/cj219/"
"Plastics","Polyurethane rigid foam",,101.500,3.480,4.260,"Cradle to gate","37.07 MJ/kg Feedstock Energy  (Included). Poor data availability for feedstock energy",,"http://people.bath.ac.uk/cj219/"
"Plastics","PVC","Calendered Sheet",68.600,2.610,3.190,"Cradle to gate","24.4 MJ/kg Feedstock Energy  (Included). If biomass benefits are included the CO2 may reduce to 2.56 kgCO2/kg, and GWP down to 3.15 kg CO2e/kg.",,"http://people.bath.ac.uk/cj219/"
"Plastics","PVC","General",77.200,2.610,3.100,"Cradle to gate","28.1 MJ/kg Feedstock Energy  (Included). Based on market average consumption of types of PVC in the European construction industry",,"http://people.bath.ac.uk/cj219/"
"Plastics","PVC","Injection Moulding",95.100,2.690,3.300,"Cradle to gate","35.1 MJ/kg Feedstock Energy  (Included). If biomass benefits are included the CO2 may reduce to 2.23 kgCO2/kg, and GWP down to 2.84 kg CO2e/kg.",,"http://people.bath.ac.uk/cj219/"
"Plastics","PVC","Pipe",67.500,2.560,3.230,"Cradle to gate","24.4 MJ/kg Feedstock Energy  (Included). If biomass benefits are included the CO2 may reduce to 2.51 kgCO2/kg, and GWP down to 3.23 kg CO2e/kg.",,"http://people.bath.ac.uk/cj219/"
"Plastics","UPVC film",,69.400,2.570,3.160,"Cradle to gate","25.3 MJ/kg Feedstock Energy  (Included)",,"http://people.bath.ac.uk/cj219/"
"Quartz powder",,,0.852,0.023,,"Not specified","Ref. 114.",,"http://people.bath.ac.uk/cj219/"
"Rubber","General",,91.000,2.660,2.850,"Cradle to gate","40 MJ/kg Feedstock Energy  (Included)",,"http://people.bath.ac.uk/cj219/"
"Sand","General",,0.081,0.005,0.005,"Cradle to gate","Estimated from real UK industrial fuel consumption data",,"http://people.bath.ac.uk/cj219/"
"Sealants and adhesives","Epoxide resin",,137.000,5.700,,"Cradle to gate","42.6 MJ/kg Feedstock Energy  (Included). Source: www.plasticseurope.org",,"http://people.bath.ac.uk/cj219/"
"Sealants and adhesives","Mastic sealant","Lower",62.000,,,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Sealants and adhesives","Mastic sealant","Mean",131.000,,,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Sealants and adhesives","Mastic sealant","Upper",200.000,,,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Sealants and adhesives","Melamine resin",,97.000,4.190,,"Cradle to gate","Feedstock energy 18 MJ/kg - estimated from Ref 34.",,"http://people.bath.ac.uk/cj219/"
"Sealants and adhesives","Phenol formaldehyde",,88.000,2.980,,"Cradle to grave","Feedstock energy 32 MJ/kg - estimated from Ref 34.",,"http://people.bath.ac.uk/cj219/"
"Sealants and adhesives","Urea formaldehyde",,70.000,2.760,,"Cradle to site","Feedstock energy 18 MJ/kg - estimated from Ref 34.",,"http://people.bath.ac.uk/cj219/"
"Shingle",,,11.300,0.300,,"Not specified","Ref. 70.",,"http://people.bath.ac.uk/cj219/"
"Silicon",,,2355.000,,,"Not specified","Ref. 167.",,"http://people.bath.ac.uk/cj219/"
"Silver",,,128.200,6.310,,"Not specified","Ref. 148.",,"http://people.bath.ac.uk/cj219/"
"Slag (GGBS)",,,1.600,0.083,,"Not specified","Ground Granulated Blast Furnace Slag (GGBS), economic allocation.",,"http://people.bath.ac.uk/cj219/"
"Soil","Cement stabilised soil",5%,0.680,0.060,0.061,"Cradle to site","Assumed 5% cement content.",,"http://people.bath.ac.uk/cj219/"
"Soil","Cement stabilised soil",8%,0.830,0.082,0.084,"Cradle to site","Assumed 8% stabiliser content (6% cement and 2% lime).",,"http://people.bath.ac.uk/cj219/"
"Soil","Fly ash stabilised soil",,0.560,0.039,0.041,"Cradle to site","Assumed 10% stabiliser content (8% fly ash and 2% lime).",,"http://people.bath.ac.uk/cj219/"
"Soil","General (rammed Soil)",,0.450,0.023,0.024,"Cradle to site",,,"http://people.bath.ac.uk/cj219/"
"Soil","GGBS stabilised soil",,0.650,0.045,0.047,"Cradle to site","Assumed 8% stabiliser content (8% GGBS and 2% lime).",,"http://people.bath.ac.uk/cj219/"
"Steel","Bar and rod","EU average",17.400,1.310,1.400,"Cradle to gate"," EU 3-average recycled content of 59%",,"http://people.bath.ac.uk/cj219/"
"Steel","Bar and rod","Recycled",8.800,0.420,0.450,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Steel","Bar and rod","Rest of world average",22.300,1.820,1.950,"Cradle to gate","Comments above apply. See material profile for further information.",,"http://people.bath.ac.uk/cj219/"
"Steel","Bar and rod","Virgin",29.200,2.590,2.770,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Steel","Bar and rod","World average",21.600,1.740,1.860,"Cradle to gate","Comments above apply. See material profile for further information.",,"http://people.bath.ac.uk/cj219/"
"Steel","Coil (sheet)","EU average",18.800,1.300,1.380,"Cradle to gate","Effective recycled content because recycling route is not typical.  EU 3-average recycled content of 59%",,"http://people.bath.ac.uk/cj219/"
"Steel","Coil (sheet)","Rest of world average",24.400,1.810,1.920,"Cradle to gate","Comments above apply. See material profile for further information.",,"http://people.bath.ac.uk/cj219/"
"Steel","Coil (sheet)","Virgin",32.800,2.580,2.740,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Steel","Coil (sheet)","World average",23.500,1.740,1.850,"Cradle to gate","Comments above apply. See material profile for further information.",,"http://people.bath.ac.uk/cj219/"
"Steel","Engineering","Recycled",13.100,0.680,0.720,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Steel","Galvanised coil (sheet)","EU average",22.600,1.450,1.540,"Cradle to gate","Effective recycled content because recycling route is not typical.  EU 3-average recycled content of 59%",,"http://people.bath.ac.uk/cj219/"
"Steel","Galvanised coil (sheet)","Rest of world average",29.500,2.000,2.120,"Cradle to gate","Comments above apply. See material profile for further information.",,"http://people.bath.ac.uk/cj219/"
"Steel","Galvanised coil (sheet)","Virgin",40.000,2.840,3.010,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Steel","Galvanised coil (sheet)","World average",28.500,1.920,2.030,"Cradle to gate","Comments above apply. See material profile for further information.",,"http://people.bath.ac.uk/cj219/"
"Steel","General","EU average",20.100,1.370,1.460,"Cradle to gate","EU 3-average recycled content of 59%. Estimated from UK's consumption mixture of types of steel (excluding stainless). All data doesn't include the final cutting of the steel products to the specified dimensions or further fabrication activities.",,"http://people.bath.ac.uk/cj219/"
"Steel","General","Recycled",9.400,0.440,0.470,"Cradle to gate","Could not collect strong statistics on consumption mix of recycled steel.",,"http://people.bath.ac.uk/cj219/"
"Steel","General","Rest of world average",26.200,1.900,2.030,"Cradle to gate","Rest of World (non-E.U.) consumption of steel. 3 year average recycled content of 35.5%.",,"http://people.bath.ac.uk/cj219/"
"Steel","General","Virgin",35.400,2.710,2.890,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Steel","General","World average",25.300,1.820,1.950,"Cradle to gate","Whole world 3 year average recycled content of 39%.",,"http://people.bath.ac.uk/cj219/"
"Steel","Pipe","EU average",19.800,1.370,1.450,"Cradle to gate","Effective recycled content because recycling route is not typical.  EU 3-average recycled content of 59%",,"http://people.bath.ac.uk/cj219/"
"Steel","Pipe","Rest of world average",25.800,1.900,2.010,"Cradle to gate","Comments above apply. See material profile for further information.",,"http://people.bath.ac.uk/cj219/"
"Steel","Pipe","Virgin",34.700,2.710,2.870,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Steel","Pipe","World average",24.900,1.830,1.940,"Cradle to gate","Comments above apply. See material profile for further information.",,"http://people.bath.ac.uk/cj219/"
"Steel","Plate","EU average",25.100,1.550,1.660,"Cradle to gate","Effective recycled content because recycling route is not typical.  EU 3-average recycled content of 59%",,"http://people.bath.ac.uk/cj219/"
"Steel","Plate","Rest of world average",33.200,2.150,2.310,"Cradle to gate","Comments above apply. See material profile for further information.",,"http://people.bath.ac.uk/cj219/"
"Steel","Plate","Virgin",45.400,3.050,3.270,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Steel","Plate","World average",32.000,2.060,2.210,"Cradle to gate","Comments above apply. See material profile for further information.",,"http://people.bath.ac.uk/cj219/"
"Steel","Section","EU average",21.500,1.420,1.530,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Steel","Section","Recycled",10.000,0.440,0.470,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Steel","Section","Rest of world average",28.100,1.970,2.120,"Cradle to gate","Comments above apply. See material profile for further information.",,"http://people.bath.ac.uk/cj219/"
"Steel","Section","Virgin",38.000,2.820,3.030,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Steel","Section","World average",27.100,1.890,2.030,"Cradle to gate","Comments above apply. See material profile for further information.",,"http://people.bath.ac.uk/cj219/"
"Steel","Stainless",,56.700,6.145,,"Cradle to gate","World average data from the Institute of Stainless Steel Forum (ISSF) life cycle inventory data. Selected data is for the most popular grade (304). Stainless steel does not have separate primary and recycled material production routes.",,"http://people.bath.ac.uk/cj219/"
"Steel","Wire","Virgin",36.000,2.830,3.020,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Stone","General",,1.260,0.073,0.079,"Cradle to gate","ICE database average (statistic), uncertain. See material profile.",,"http://people.bath.ac.uk/cj219/"
"Stone","Granite",,11.000,0.640,0.700,"Cradle to gate","Estimated from Ref 116.",,"http://people.bath.ac.uk/cj219/"
"Stone","Limestone",,1.500,0.087,0.090,"Cradle to gate","Estimated from Ref 188.",,"http://people.bath.ac.uk/cj219/"
"Stone","Marble",,2.000,0.116,0.130,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Stone","Marble tile",,3.330,0.192,0.210,"Cradle to grave","Ref. 40.",,"http://people.bath.ac.uk/cj219/"
"Stone","Sandstone",,1.000,0.058,0.060,"Cradle to gate","Uncertain estimate based on Ref. 262.",,"http://people.bath.ac.uk/cj219/"
"Stone","Shale",,0.030,0.002,0.002,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Stone","Slate","Lower",0.100,0.006,0.007,"Cradle to gate","Large data range",,"http://people.bath.ac.uk/cj219/"
"Stone","Slate","Mean",0.550,0.032,0.035,"Cradle to gate","Large data range",,"http://people.bath.ac.uk/cj219/"
"Stone","Slate","Upper",1.000,0.058,0.063,"Cradle to gate","Large data range",,"http://people.bath.ac.uk/cj219/"
"Straw",,,0.240,0.010,,"Not specified","Refs. 63, 201, 202 and 281.",,"http://people.bath.ac.uk/cj219/"
"Terrazzo tiles",,,1.400,0.118,,"Not specified","Ref. 1.",,"http://people.bath.ac.uk/cj219/"
"Timber","General",,10.000,0.300,0.310,"Cradle to gate","Estimated from UK consumption mixture of timber products in 2007 (Timber Trade Federation statistics). Includes 4.3 MJ bio-energy. All values do not include the CV of timber product and exclude carbon storage.",,"http://people.bath.ac.uk/cj219/"
"Timber","Glue laminated timber",,12.000,0.390,0.420,"Cradle to gate","Includes 4.9 MJ bio-energy.",,"http://people.bath.ac.uk/cj219/"
"Timber","Hardboard",,16.000,0.540,0.580,"Cradle to gate","Hardboard is a type of fibreboard with a density above 800 kg/m3. Includes 5.6 MJ bio-energy.",,"http://people.bath.ac.uk/cj219/"
"Timber","Laminated veneer lumber",,9.500,0.310,0.330,"Cradle to gate","Ref 150. Includes 3.5 MJ bio-energy.",,"http://people.bath.ac.uk/cj219/"
"Timber","MDF",,11.000,0.370,0.390,"Cradle to gate","Wide density range (350-800 kg/m3). Includes 3.8 MJ bio-energy.",,"http://people.bath.ac.uk/cj219/"
"Timber","Oriented Strand Board (OSB)",,15.000,0.420,0.450,"Cradle to gate","Estimated from Refs. 103 and 150. Includes 5.9 MJ bio-energy.",,"http://people.bath.ac.uk/cj219/"
"Timber","Particle board",,14.500,0.520,0.540,"Cradle to gate","Very large data range, difficult to select appropriate values. Modified from CORRIM reports. Includes 3.2 MJ bio-energy (uncertain estimate).",,"http://people.bath.ac.uk/cj219/"
"Timber","Plywood",,15.000,0.420,0.450,"Cradle to gate","Includes 7.1 MJ bio-energy.",,"http://people.bath.ac.uk/cj219/"
"Timber","Sawn hardwood",,10.400,0.230,0.240,"Cradle to gate","It was difficult to select values for hardwood, the data was estimated from the CORRIM studies (Ref. 88). Includes 6.3 MJ bio-energy.",,"http://people.bath.ac.uk/cj219/"
"Timber","Sawn softwood",,7.400,0.190,0.200,"Cradle to gate","Includes 4.2 MJ bio-energy.",,"http://people.bath.ac.uk/cj219/"
"Timber","Veneer particleboard (furniture)",,23.000,,,"Cradle to gate","Unknown split of fossil based and biogenic fuels.",,"http://people.bath.ac.uk/cj219/"
"Tin","General",,250.000,13.500,14.470,"Cradle to gate","lack of modern data, large data range",,"http://people.bath.ac.uk/cj219/"
"Tin","Tin coated plate (steel)","Lower",19.200,1.040,,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Tin","Tin coated plate (steel)","Mean",36.950,1.995,,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Tin","Tin coated plate (steel)","Upper",54.700,2.950,,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Titanium","Recycled",,258.000,13.700,14.700,"Cradle to gate","lack of modern data, large data range, small sample size",,"http://people.bath.ac.uk/cj219/"
"Titanium","Virgin","Lower",361.000,19.200,20.600,"Cradle to gate","lack of modern data, large data range, small sample size",,"http://people.bath.ac.uk/cj219/"
"Titanium","Virgin","Mean",553.000,29.400,31.550,"Cradle to gate","lack of modern data, large data range, small sample size",,"http://people.bath.ac.uk/cj219/"
"Titanium","Virgin","Upper",745.000,39.600,42.500,"Cradle to gate","lack of modern data, large data range, small sample size",,"http://people.bath.ac.uk/cj219/"
"Vanadium",,,3710.000,228.000,,"Not specified","Ref. 22.",,"http://people.bath.ac.uk/cj219/"
"Vermiculite","Expanded",,7.200,0.520,,"Not specified","Ref. 114.",,"http://people.bath.ac.uk/cj219/"
"Vermiculite","Natural",,0.720,0.032,,"Not specified","Ref. 114.",,"http://people.bath.ac.uk/cj219/"
"Vicuclad",,,70.000,,,"Not specified","Ref. 1.",,"http://people.bath.ac.uk/cj219/"
"Vinyl flooring","General",,68.600,2.610,3.190,"Cradle to gate","23.58 MJ/kg Feedstock Energy  (Included), Same value as PVC calendered sheet. Note: the book version of ICE contains the wrong values. These values are up to date",,"http://people.bath.ac.uk/cj219/"
"Vinyl flooring","Vinyl composite tiles (VCT)",,13.700,,,"Cradle to grave","Ref. 94.",,"http://people.bath.ac.uk/cj219/"
"Water",,,0.010,0.001,,"Not specified",,,"http://people.bath.ac.uk/cj219/"
"Wax",,,52.000,,,"Not specified","Ref. 169.",,"http://people.bath.ac.uk/cj219/"
"Wood stain/varnish",,,50.000,5.350,,"Not specified","Ref. 1.",,"http://people.bath.ac.uk/cj219/"
"Yttrium",,,1470.000,84.000,,"Not specified","Ref. 22.",,"http://people.bath.ac.uk/cj219/"
"Zinc","General","Average",53.100,2.880,3.090,"Cradle to gate","Uncertain carbon estimates, currently estimated from typical UK industrial fuel mix. Recycled content of general Zinc 30%.",,"http://people.bath.ac.uk/cj219/"
"Zinc","General","Recycled",9.000,0.490,0.520,"Cradle to gate","Uncertain carbon estimates, currently estimated from typical UK industrial fuel mix. Recycled content of general Zinc 30%.",,"http://people.bath.ac.uk/cj219/"
"Zinc","General","Virgin",72.000,3.900,4.180,"Cradle to gate","Uncertain carbon estimates, currently estimated from typical UK industrial fuel mix. Recycled content of general Zinc 30%.",,"http://people.bath.ac.uk/cj219/"
"Zirconium",,,1610.000,97.200,,"Not specified","Ref. 22.",,"http://people.bath.ac.uk/cj219/"


Title,Subject,Inventors
"Biotechnology, medicine, and computer science",Computer Science,Lillian L. Burt
Neuron networks and machine learning,Computer Science,Lois F. Cantrell
Big data analysis,Computer Science,Lisandra V. Lopez
Virtual reality and its connection to human perception,Computer Science,Hayes K. Holder
The success of computer-assisted education,Computer Science,Molly A. Brennan
Computer assistance in support services,Computer Science,Willa Q. Nunez
Database architecture and management,Computer Science,Anthony O. Sweeney
Human-computer interactions. The importance of usability,Computer Science,Preston S. Sims
The limits of computation and communication,Computer Science,Solomon I. Mathis
Computers and media. Where is the line between art and math modeling?,Computer Science,Martena Q. Powell
Why there are so much programming languages?,Computer Science,Elton P. Sheppard
Digital security versus private information,Computer Science,Samuel Z. Hicks
Encrypting and decrypting,Computer Science,Claudia S. England
Quantum computers. Are they the future?,Computer Science,Neve E. Sheppard
Is the evolution of search algorithms finished?,Computer Science,Wynter J. Farley
The importance of open source software,Computer Science,Dorian H. Foreman
Portable gadgets and the peculiarities of software development for them,Computer Science,Cedric A. Logan
Cloud storages: advantages and disadvantages,Computer Science,Michelle R. Hyde
Computer viruses: the main principles of work and the hazards,Computer Science,Uriel G. Lester
"DDOS attacks, their danger on the global scale and their prevention",Computer Science,Dexter P. Stark
Is SCRUM methodology the best-invented one for computer science?,Computer Science,Drake F. Morrison
The online medicine apps: can they sometimes substitute the treatment of real doctors?,Computer Science,Vivien N. Patterson
5G Wireless System: is it the future?,Computer Science,Grace A. Workman
"Windows, macOS, UNIX – what OS is the most perspective now?",Computer Science,Preston D. Gallegos
Biometric systems and recognizing,Computer Science,Clinton N. Nash
Ethical hacking. Who are the “white hat hackers”?,Computer Science,Aretha Q. Snider
Cyborgs: is it sci-fi or nearest future?,Computer Science,Connor Y. Alvarado
The ATM and bank security,Computer Science,Yvette N. Walsh
The evolution of torrents,Computer Science,Ezra G. Preston
What is blockchain?,Computer Science,Kathleen L. Steele
"The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks",AI & ML,Kaye J. Delaney
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations,AI & ML,Tanya U. Mcmahon
Meta-Learning Update Rules for Unsupervised Representation Learning,AI & ML,Mark M. Carhart
On the Variance of the Adaptive Learning Rate and Beyond,AI & ML,"Andrei Shleifer, Robert W. Vishny"
XLNet: Generalized Autoregressive Pretraining for Language Understanding,AI & ML,"Rafael La Porta, Florencio Lopez-De-Silanes, Andrei Shleifer"
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations,AI & ML,"NARASIMHAN JEGADEESH, SHERIDAN TITMAN"
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems,AI & ML,"EUGENE F. FAMA, KENNETH R. FRENCH"
A Theory of Fermat Paths for Non-Line-of-Sight Shape Reconstruction,AI & ML,"RAFAEL LA PORTA, FLORENCIO LOPEZ-DE-SILANES, ANDREI SHLEIFER, ROBERT W. VISHNY"
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning,AI & ML,MICHAEL C. JENSEN
Learning Existing Social Conventions via Observationally Augmented Self-Play,AI & ML,Edward I. Altman
The history of mathematics,Mathematics,"Kent Daniel, David Hirshleifer, Avanidhar Subrahmanyam"
Greek math theories and inventions,Mathematics,"EUGENE F. FAMA, KENNETH R. FRENCH"
The math of ancient great buildings,Mathematics,"WERNER F. M. De BONDT, RICHARD THALER"
The math of Universe. Universal constants,Mathematics,"LAWRENCE R. GLOSTEN, RAVI JAGANNATHAN, DAVID E. RUNKLE"
Astronomy and math. How can we know about what we have never seen?,Mathematics,"Ronald C. Anderson, David M. Reeb"
The greatest mathematicians and their role in the history,Mathematics,"RAGHURAM G. RAJAN, LUIGI ZINGALES"
The greatest math invention in history,Mathematics,Harry Markowitz
Euclidean and non-Euclidean geometries. Going beyond the space we used to,Mathematics,William Vickrey
Unsolved problems in math,Mathematics,"Andrei Shleifer, Robert W. Vishny"
Math and Quantum theory,Mathematics,William F. Sharpe
Math and Philosophy,Mathematics,"Ravi Bansal, Amir Yaron"
Art and math: are they connected?,Mathematics,"MALCOLM BAKER, JEFFREY WURGLER"
Algebra,Mathematics,"ANDREW ANG, ROBERT J. HODRICK, YUHANG XING, XIAOYAN ZHANG"
Number theory,Mathematics,"MITCHELL A. PETERSEN, RAGHURAM G. RAJAN"
Math and the AI concepts,Mathematics,"Harrison Hong, Jeremy C. Stein"
Math in nature,Mathematics,"Rafael La Porta, Florencio Lopez-De-Silanes, Andrei Shleifer, Robert Vishny"
Math in our daily life,Mathematics,"SHERIDAN TITMAN, ROBERTO WESSELS"
Math and Probabilities,Mathematics,"Kristin J. Forbes, Roberto Rigobon"
Fundamental mathematical theorems,Mathematics,"Stijn Claessens, Simeon Djankov, Joseph P. H. Fan, Larry H. P. Lang"
Sports and math,Mathematics,EUGENE F. FAMA
Is Math unique for humans only?,Mathematics,"JOSEF LAKONISHOK, ANDREI SHLEIFER, ROBERT W. VISHNY"
STEM Education: why math is so important?,Mathematics,Terrance Odean
Math and formal logic,Mathematics,Robert C. Merton
The math of time,Mathematics,"Brad M. Barber, Terrance Odean"
Math and gender,Mathematics,"Erik R. Sirri, Peter Tufano"
Thermoelectric materials,Chemistry,ROBERT C. MERTON
Enhanced performance separators,Chemistry,RAGHURAM G. RAJAN
The chemical properties of the artificial organic tissues,Chemistry,"TIM LOUGHRAN, JAY R. RITTER"
Environmental toxicology,Chemistry,JAY R. RITTER
Bioconjugates in chemical biology,Chemistry,"Malcolm Baker, Jeffrey Wurgler"
Chemistry of nanoreactors,Chemistry,PAUL C. TETLOCK
Chemical neuroscience and behaviour,Chemistry,Edward M. Miller
Atmospheric physical chemistry,Chemistry,"ROBERT F. ENGLE, VICTOR K. NG"
Enzymology in chemical toxicology,Chemistry,"François Longin, Bruno Solnik"
Process intensification,Chemistry,G. WILLIAM SCHWERT
Adverse outcome pathways,Chemistry,"ULRIKE MALMENDIER, GEOFFREY TATE"
Battery science and technology,Chemistry,"Campbell R. Harvey, Akhtar Siddique"
Photons and physical chemistry,Chemistry,Michael C. Jensen
Climate chemistry,Chemistry,"MILTON HARRIS, ARTUR RAVIV"
Ionization methods in mass spectrometry,Chemistry,"Joshua D. Coval, Tobias J. Moskowitz"
Pesticides and their chemical influence,Chemistry,"David Easley, Maureen O'hara"
Food dyes and their chemistry,Chemistry,"Narasimhan Jegadeesh, Sheridan Titman"
The chemistry of allergy,Chemistry,David Sloan
Bonding of fluorine and inert gases,Chemistry,E. A. Baltz
Methods of stabilising lithium to prevent its corrosion on contact with oxygen,Chemistry,M. J. Owens
A look at surface tension and its implications for the future of transportation,Chemistry,Fangfang Wei
Beryllium and its ability to ameliorate the strengths of other metals to which it is added,Chemistry,Yakov Galutin
A look at the use of hydrogen in discovering the presence of oxygen,Chemistry,Junliang Dong
Exploring the differences and similarities between ionic and covalent bonds,Chemistry,K. Yoshimatsu
The ramifications of silicon as a semiconductor being used heavily in the practice of cosmetic surgery,Chemistry,Takuya Miwa
The history of politics: when and how it was created and how it evolved,Political Science,Robin Diekmann
The politics and war history: is every war a political decision?,Political Science,Carlos Sabín
Political science overview. Basics and methodology,Political Science,Chenchen Zhang
Political Psychology,Political Science,Dianmin Lin
The influence of cultural norm on politics,Political Science,Sandeep Munjal &
Politics and religion: is politics always rational?,Political Science,Riccardo Marchetti
The prominent personalities in politics (choose the country and timeframe),Political Science,Jong-Young Hong
The political decisions that changed the history,Political Science,Hongsheng Zhang
The causes and consequences of civil wars,Political Science,Seungyeop Choi
Is terrorism a political instrument?,Political Science,Taichi Morita
The importance of social movements in politics,Political Science,Ivan Kruglov
Populism: what is it and how does it work?,Political Science,T. L. Jin
Totalitarian regimes: similarities and differences,Political Science,Qianli Chen &
Divided governments: examples and principles of work,Political Science,Jen-Hsiang Hsieh
The types and peculiarities of electoral systems,Political Science,Joya Zeitouny
"Federalism, Confederalism and Unitary Systems. Why such form appear and how they operate?",Political Science,Raouf Dridi &
Presidential republics versus parliamentary republics,Political Science,Asir Intisar Khan
The ancient and modern examples,Political Science,Unai Alvarez-Rodriguez
Interstate affairs. Wars and diplomacy,Political Science,Richard C. Ordonez
International political economy,Political Science,Linpeng Dong
Global politics. Environment and resource preserving,Political Science,Joanna Oracz
The code of honor and loyalty oaths,Political Science,Cristian Farías
The concept of open society and politics,Political Science,Amedeo Balbi &
Corruptions in politics and the ways to eliminate it,Political Science,Peter Broecker
Positivism: pros and cons,Political Science,Benyamin Davaji
Constructivism: pros and cons,Political Science,A. Soloviev
Politics in media,Political Science,Bi-Yi Wu
The role of public relations in politics,Political Science,S. Harrison &
Nationalism versus globalization,Political Science,Hamid T. Chorsi
Rational Choice Theory,Political Science,Alexander N. Tait
Does the politics change when the morals of the society evolve?,Political Science,Taha Ayari
Cultural pluralism,Political Science,Z. H. Liu
The concept of common good and its impact on the politics,Political Science,Fangzheng Zhang
The politics during peace and wartime,Political Science,Mausumi Dikpati
Nonstate actors on international political arena,Political Science,Zhao Jin
Why the result of exit polls is usually different from the result of actual elections?,Political Science,S. Lang
The philosophy of politics,Political Science,J. D. Clarkson
The impact of political scandals,Political Science,M. V. Jabir &
Political anthropology,Political Science,Ni Cui
Worldwide political dependencies,Political Science,Ganesh Hegde &
Food preferences and sociology, Sociology,R. Lopez-Delgado
Youth subcultures, Sociology,Frederic Català
The phenomenon of hooligans, Sociology,Shuping Wang
Gender sociology, Sociology,Nabil Mohammad
Mass protests, Sociology,Brian J. Frey
Secret communities and cults, Sociology,S. von Malottki
Assimilation or synthesis of the new culture?, Sociology,Kelvin J. A. Ooi
Life quality level, Sociology,Haemin Kim &
Calculating risks in sociology, Sociology,Iaroslav Gnilitskyi
Sociology of minorities, Sociology,Chaoyang Ti
Sociology of senior age and dying, Sociology,Elena Facco
Sociology of childhood, Sociology,Yin Zhang
Family in sociology, Sociology,Sunmi Shin
Personality types, Sociology,C. D. W. Mosley
Behaviour in groups, Sociology,K. Terada
"Involuntary groups (e.g. prison cells, school classes etc)", Sociology,Yeonwoo Shin
Social hierarchy, Sociology,Hyun-Cheol Song
Strategies of relationships, Sociology,Christian Huber
Sociology and psychology, Sociology,A. Velea
Sociology of conflicts, Sociology,Romain Chevallier
Sociology of disasters, Sociology,Nirakar Poudel
Sociobiology, Sociology,Yong Meng Sua
Can human social patterns apply to some animals?, Sociology,Jierong Cheng
Criminal sociology, Sociology,Caterina Braggio
Sociology of violence, Sociology,Jagyeong Kim
Altruism in sociological terms, Sociology,Takuya Ohzono
Sociology of workspace, Sociology,Abdoulaye Ba
Military sociology, Sociology,George F. R. Chen
Sex and sociology, Sociology,Tatsuya Shoji
Political sociology, Sociology,Hyun Jeong
The sociology of religion, Sociology,Takayuki Shiino
"Sociology of gambling, game addiction and other dependencies", Sociology,S. K. Adhikari
Sociology and propaganda, Sociology,Ming-Hsuan Kao
Sociology and busines, Sociology,Lunwu Zeng
Juvenile delinquency, Sociology,G. G. Paschos
What is communication? The birth of the media as we know it,Media,Yuri M. Efremov
"Media, Censorship and Propaganda",Media,Gurpreet Singh
The freedom of speech and its impact on the media,Media,Toshiaki Tanigaki
The main aspects of communication,Media,Tsai-Chen Wu
The triggering topics. What do you need to start an instant “holywar” in media?,Media,Shane Colburn
The phenomenon of hype and its usage of the media,Media,Hua Zhu
Single bloggers versus media companies,Media,Masahiro Haze
Communication and media psychology,Media,T. R. Raddo
The history of advertising and its important in the modern business,Media,Shihong Huang
The popular culture in the media,Media,Cheng Wei Shih &
Video games. Can they be considered a media now?,Media,Martin Jirka
Violence and controversial topics. Shall the media censor it out?,Media,Filipe Matusalem
The peculiarities of children media,Media,Farabi Bozheyev
Are the videoblogs the new diaries?,Media,K. Zeissler
Mainstream media versus arthouse,Media,Yanlong Shen
What is the age of post-truth in the media?,Media,Robert G. Endres
Social networks as the main way of communication in the modern world,Media,Hyeryun Kim
Why exclusive material is so important in the media?,Media,Jocelyn T. Marsh
Fandom and fanfiction in the media,Media,Patricia Z. Patton
Mass Communication Laws in different countries,Media,Chandler L. Hester
Media and disasters: enhancing panic or preventing it?,Media,Ann N. Wade
Terrorism in the media,Media,George F. Arnold
Changes in the media during the wartime,Media,Hermione M. Moore
Journalism ethics: what is it?,Media,Mara F. Larson
International journalism,Media,Fuller D. Morton
Journalists on the battlefield,Media,Timothy N. Contreras
Media policy and regulation in different countries,Media,Katell N. Weaver
How did the Internet influence media development?,Media,Signe A. Velasquez
Media: reacting to the events or creating them?,Media,Berk N. Garrett
Virtual reality: may it be the future of the media?,Media,Hayden F. Roy
Media downshifting: why do people revert to newspapers again?,Media,Edan T. Quinn
Social media marketing campaigns,Media,Quemby P. Nielsen
"Media, politics and public relations",Media,Miriam R. Romero
The styles and types of media. How they differ depending on the audience they are aiming for?,Media,George U. Fisher
The phenomenon of Disney. Media or the new mythology?,Media,Raja L. Garner
Scientific journalism: shall science be popular?,Media,Bethany B. Craft
Media for educational purpose,Media,Aidan Z. Callahan
Radio media: why radio is still popular?,Media,Zenaida Z. Holden
Hidden messages in the media made for entertainment,Media,Bertha H. Hoover
Media images of the representatives of different countries,Media,Colin N. Ryan
The industrial revolution in your country and worldwide,History,Garrison Y. Sharpe
The impact of Martin Luther King’s speech,History,Ria Y. Franks
The French Revolution. The establishment of the principles of democracy in France,History,Uriel V. Wilcox
American Revolution and building of American society,History,Ross O. Callahan
"The Vietnam War, its causes, consequences, and scars it left",History,Fletcher O. Howard
The creation and failure of the Weimar Republic,History,Owen I. Cruz
American foreign policy from the beginning of the 21st century,History,Olga D. Kim
The cold war and its consequences for the world,History,Nicholas M. Hall
Battle of Hastings and its role in the history of England,History,Taylor Z. Terry
The Crusades and the Jihads. Similarities and differences,History,Libby H. Fulton
The process of abolition of slavery and its meaning for the world,History,Jameson A. Flores
The ideas of Communism and their influence on the world,History,Kyra H. Gonzalez
British colonialism in India,History,Piper G. Casey
The Crusades and the Jihads. Similarities and differences,History,Fitzgerald M. Guerrero
The rise of independent African countries,History,Taylor J. Hancock
The Holy Roman Empire,History,Simone X. Lewis
The phenomenon of hippie culture: did it have a huge impact?,History,Carolyn G. Ware
Monasteries and education during the Middle Ages,History,Simone D. Pena
Japanese economic wonder: can it be repeated?,History,Christian J. Burks
The development of the People’s Republic of China,History,Blair Q. Sherman
The Caribbean in the golden age of pirates,History,Joshua Z. Frazier
The most prominent queens of ancient Egypt,History,Keegan Y. Bray
The culture of the Roman Empire in comparison to ancient Greece,History,Calista K. Ratliff
What made ancient Sparta so different from other cities?,History,Gwendolyn C. Hood
The trading routes of the Renaissance period,History,Lester T. Johnson
The colonization of America,History,Dillon P. Alvarado
The importance of sports games in ancient times,History,Ariana E. Kent
The political power of Pope in the Middle Ages,History,Simon I. Castro
The history of propaganda from ancient times to modern days,History,Reuben A. Knowles
The changes in the economies of Europe after World War I,History,Isabelle G. Hahn
Sexual revolution: causes and consequences,History,Jarrod W. Wall
The policy of installing applications to the phones and tables,Cyber Security,Lois I. Cole
"Security measures in Windows, Unix and MacOS",Cyber Security,Bernard W. Gallegos
Encrypting viruses,Cyber Security,Suki F. Yang
Loss of data and its restoration,Cyber Security,Ella F. Hampton
The process of authentication,Cyber Security,Joy U. Blake
Data encryption algorithms,Cyber Security,Timothy H. Alford
The ways of network intrusion and their detection and prevention,Cyber Security,Mark J. Raymond
Itsand security measures,Cyber Security,Alec H. Porter
The most prominent pandemics of cyber viruses,Cyber Security,Willa Q. Nunez
White hat and black hat hackers: who are they?,Cyber Security,Anthony O. Sweeney
Phishing and scam in the Internet,Cyber Security,Preston S. Sims
Social networks and digital security,Cyber Security,Solomon I. Mathis
Revenge porn and blackmailing in the Internet,Cyber Security,Martena Q. Powell
What is firewall and how it helps to protect the network?,Cyber Security,Elton P. Sheppard
"Cookies, privacy and cyber security",Cyber Security,Samuel Z. Hicks
Identity theft in the Internet,Cyber Security,Claudia S. England
The strategies of password,Cyber Security,Neve E. Sheppard
Device synchronisation and protection,Cyber Security,Wynter J. Farley
Terms and conditions in the software,Cyber Security,Dorian H. Foreman
Digital piracy and security,Cyber Security,Cedric A. Logan
Laws against cyber crimes,Cyber Security,Michelle R. Hyde
Cyber security while downloading files,Cyber Security,Uriel G. Lester
Social engineering and its importance,Cyber Security,Dexter P. Stark
Software updates and patches and their importance,Cyber Security,"Jensen, Nola B."
The most well-known closed vulnerabilities,Cyber Security,"Walton, Sean B."
The emergency actions after hacking,Cyber Security,"Morin, Rahim U."
The main causes of cyber crimes,Cyber Security,"Bryant, Teagan J."
Biometrics and cyber security,Cyber Security,"Snow, Hamilton B."
Bots and cyber security,Cyber Security,"Jimenez, Bree E."
"The unified user profiles, their advantages and dangers",Cyber Security,"Bailey, Octavius Z."
Design integration in campus planning,Architecture,"Powell, Hiroko I."
Use of lightweight architecture in advanced structures.,Architecture,"Swanson, Heather B."
The importance of parametric designing in modern architecture.,Architecture,"Branch, Ramona I."
The significance of sanctuaries for the preservation of wildlife in urban areas.,Architecture,"Yates, Kylee J."
The construction process of Egyptian pyramids.,Architecture,"Lynch, Price A."
Best designs for shared accommodations.,Architecture,"Nolan, Neve J."
The importance of sustainable urban development.,Architecture,"Mueller, Raven R."
The influence of Islamic architecture on the design of structures in the UAE.,Architecture,"Thomas, Ishmael R."
The impact of historic French art and architecture on modern designs.,Architecture,"Wiggins, Zahir P."
Best designs for restaurants for revitalization of urban areas.,Architecture,"Nicholson, Keane Q."
The effect of IoT on urban architectural design.,Architecture,"Spears, Carter P."
Best designing for maximum building space utilization.,Architecture,"Obrien, Cecilia W."
Important things to consider for resilient design.,Architecture,"King, Kelly M."
Conservation as a way of sustaining cultural heritage.,Architecture,"Hardin, Oleg I."
Best practices for school planning in rural areas.,Architecture,"Leonard, Amethyst V."
The impact of unlimited housing developments on the environment.,Architecture,"Good, Ethan M."
A smart approach to the designing of a transport system to regulate traffic congestion.,Architecture,"Griffith, Ethan W."
The origins of Islamic architecture.,Architecture,"Moody, Lila L."
The influence of classical art on modern architecture.,Architecture,"Frazier, Lucas T."
A comparison of materials used in ancient and modern architecture.,Architecture,"Warner, Kelsie D."
Famous architects of the 20th,Architecture,"Bishop, Chastity E."
Optimum balance between structural strength and aesthetic appeal.,Architecture,"Lindsey, Felicia P."
Benefits of low-cost high-strength architecture.,Architecture,"Wilkins, Kevin Y."
The effect of extreme weather conditions on the durability of architecture.,Architecture,"Wells, Signe N."
The influence of European art on architecture.,Architecture,"Joseph, Walker L."
Best practices in town planning.,Architecture,"Hood, Elliott S."
Art as the prime influencer of architecture.,Architecture,"Riddle, Whoopi P."
The impact of Islamic architecture on the modern structural design.,Architecture,"Andrews, Ruth I."
The significance of arches for structural safety.,Architecture,"Juarez, Clementine M."
Reconstruction of architectural heritage.,Architecture,"Schultz, Abbot S."
The Impact of Politics of Colonialism on the Aborigines in Australia,Racism,"Ortiz, Jonah M."
Causes and Effects of Racial Prejudice in the 1950s,Racism,"Oconnor, Haley X."
Was the Women’s Movement of 1960 Successful to Unite White and Black Women?,Racism,"Woodard, Naomi I."
Black Power Movement: Origins and History,Racism,"Phillips, Lev Q."
Can We Call Malcolm X a Racist?,Racism,"Tillman, Kaye Z."
The Main Reasons for Racial Prejudgments,Racism,"Goff, Lois L."
Capitalism & Racism in Japan,Racism,"Sellers, Jenette J."
The Theory of Protest by Socrates,Racism,"Ramsey, Chase D."
Hate Crimes in the United States: Is Race a Factor?,Racism,"Woodward, Iona P."
"The assassination of Martin Luther King, Jr.: Public Reaction",Racism,"Vazquez, Amanda L."
Evolutionary-Psychological Perspective of Racism,Racism,"Knowles, Xenos M."
Did Darwin offer racial ideas in his works?,Racism,"Chambers, Cameran J."
The Roots of Racial Discrimination,Racism,"Yang, Mari N."
Stereotypes and Prejudice: Compare & Contrast,Racism,"Oneill, Eden O."
The Theory of Protest by Malcolm X,Racism,"Parks, Vanna R."
Roots of Islamophobia in Different Parts of the World,Racism,"Hicks, Brady K."
Proofs That Racism Still Exists in the US,Racism,"Dudley, Kennan F."
"Prejudice, Police Brutality, and Racism: The Connection between Three",Racism,"Rhodes, Ivor P."
Proper Education about Racism in Modern US Schools,Racism,"Knox, Mona B."
What Countries Are the Most Racist?,Racism,"Barker, Xanthus A."
Academic and Professional Barriers Caused by Racial Factors,Racism,"Davenport, Sage L."
Oscars Boycott: Reasons and Outcomes,Racism,"Jacobson, Nelle I."
The Best Approaches to Dealing with Racial Prejudices,Racism,"Schwartz, Shaine O."
How Muslims Are Discriminated in the United States,Racism,"Bennett, Yardley B."
The Context of Racism Speech (any of them),Racism,"Johnson, Caleb K."
The Theory of Protest by Dr. King,Racism,"Coleman, Robert B."
In-depth Analysis of “The Help” Film,Racism,"Sandoval, Raven L."
Different Types of Racism,Racism,"Flores, Colette T."
Defining Racism from Various Aspects,Racism,"Pruitt, Hamilton M."
Explicit & Implicit Racial Biases,Racism,"Roman, Demetrius H."
Report on the Significance of Certain Hormones Concerning the Body Functioning,Biology,"Norton, Mufutau Z."
Cell Structure & Antibiotic Resistance,Biology,"Britt, Clementine Z."
Hormones Influence on Mind and Behavior,Biology,"Klein, Carla X."
How Hormones Contribute to Depression,Biology,"Roy, Kennan Y."
Hormonal Changes During Pregnancy,Biology,"Horn, Jason H."
Psychological Disorders: The Biological Basis,Biology,"Holland, Aiko X."
Biology Behind the Bipolar Disorder,Biology,"Atkins, Cassady Z."
Cortisol and Testosterone Influence Risk-Taking,Biology,"Chambers, Darryl X."
Current Oxytocin Science,Biology,"Graham, Fitzgerald K."
Oxytocin and Fear Reaction,Biology,"French, Aphrodite F."
Endocrine-Related Diseases,Biology,"Shaffer, Joy C."
How Hormones Affect Human Behavior,Biology,"Bentley, Elvis W."
Hormonal Control of Reproductive System,Biology,"Sexton, Charde S."
Influence of Hormonal Therapy,Biology,"Waters, Hiroko R."
Endocrinology and Metabolism,Biology,"Avery, Marvin Q."
Hormone-Specific Psychopathic Disorders,Biology,"Brewer, Nina E."
Melatonin in Therapy,Biology,"Vega, Constance M."
Steroid Hormones’ Path to Cells,Biology,"Crane, Leah H."
Cardio Exercise Influence Hormones,Biology,"Fitzgerald, Brock F."
Oxytocin in Treatment Psychopathic Disorders,Biology,"Charles, Doris U."
How Hormones Influence Women’s Mental Health,Biology,"Ferguson, Melinda F."
Gender Specifics Related to Mental Health,Biology,"Marsh, Dillon C."
Human Immune System and Its Resistance Capabilities,Biology,"Blake, Hunter K."
How Do Immune System Agents Function?,Biology,"Mann, Karleigh C."
Discovering Diseases Caused by Immune System not Functioning Good,Biology,"Kelley, Cade H."
Immunity & Stress,Biology,"Luna, Dalton H."
Tolerance & Autoimmunity,Biology,"Perry, Vance U."
Asthma & Allergic Reactions,Biology,"Durham, Kyle S."
Immunotherapy Influence on Human Body,Biology,"Burt, Garrison X."
Immunology & Transplantation,Biology,"Goff, Colton D."
Graft Rejection Prevention,Biology,"Frederick, Wendy P."
Vaccination: Are There Any Real Benefits?,Biology,"Quinn, Ciara C."
The Society’s Perspective on Vaccination,Biology,"Patel, Imogene B."
Natural Disease Resistance in Plants,Biology,"Gilmore, Rowan C."
The Prevention Measures in Plant Pathology,Biology,"Booth, Xenos H."
Research on Plant-Associated Microbes and Current Genomic Tools,Biology,"Greer, Alexander C."
Literature Review on Microbial Ecology and Evolution,Biology,"Pittman, Laith F."
Plant Diseases Management Facilitated by Modern Technology,Biology,"Everett, Beau E."
Plant Evolutionary Genetics,Biology,"Roy, Armand K."
Weedy & Invasive Plants,Biology,"Livingston, Gray X."
Photosynthesis: Aspects & Functions,Biology,"Best, Dean F."
Fertilizers’ Influence on Plants,Biology,"Larson, Regan A."
Ecological and Evolutionary Factors Influencing Animal Behavior,Biology,"Bullock, Laurel Q."
Essay on Relationship Between Living Forms and Their Environment,Biology,"Webb, Jasmine C."
The Affect of Human Behavior on Animal Forms in the USA,Biology,"Reeves, Talon D."
The Ways Animal and Plants Respond to Changing Environment,Biology,"Mccarty, Edward B."
Developmental Mechanism of Resistance in Animals,Biology,"Mendoza, Prescott O."
The Environmental Change and its Involvement in the Diversity of Species,Biology,"Russell, Calista X."
Is Global Warming Really a Threat?,Biology,"Knapp, Daryl R."
Fast Food Industry & Tropic Forests Extinction,Biology,"Briggs, Audrey G."
Environmental Psychology,Biology,"Bridges, Isaiah B."
Means of Wildlife Protection,Biology,"Woodard, Sybil K."
Impact of Rain Forests Extinction,Biology,"Marshall, Cadman H."
Rare Species Protection,Biology,"Hess, Winifred I."
The Problem of Extinction,Biology,"Battle, Imelda S."
Renewable Energy and Environment’s Pollution,Biology,"Sanchez, Rigel G."
Climate Change and Biodiversity,Biology,"Lester, Stewart B."
Types of Pollution in Modern World,Biology,Camille Abboud
What is Sustainability in Biology?,Biology,Christopher Abraham
Non-human factors of Extinction of Species,Biology,"Odom, Malik P."
Benefits of Ecotourism,Biology,"Whitaker, Orson Y."
Is Extinction of Bees Real?,Biology,"Key, Steel E."
Oil Spill Effects on Ocean Wildlife,Biology,"Foreman, Baxter L."
Factors and benefits of Organic Farming,Biology,"Cooke, Dieter E."
Visual Cortex & Models of Orientation,Neuro-Biology,"Byers, Jillian U."
Neuroscience in Robotic Technologies,Neuro-Biology,"Gallagher, Ira W."
What is Visual-Motor Coordination Based On?,Neuro-Biology,"Holland, Kato U."
Impact of Music on Human Brain,Neuro-Biology,"Hernandez, Owen A."
Brain Injuries and Related Disorders,Neuro-Biology,"Yates, Scott B."
Brain and Memory,Neuro-Biology,"Warner, Nehru G."
Brain Capabilities of Self-Repairing,Neuro-Biology,"Riggs, Vernon R."
Genetic Defect That Contributes to Schizophrenia,Neuro-Biology,"Molina, Louis V."
Factors and Causes Behind a Migraine,Neuro-Biology,"Hensley, Stephanie F."
Connection Between Gut Bacteria and Anxiety,Neuro-Biology,"White, Beverly V."
Can Gut Bacteria Contribute to Depression?,Neuro-Biology,"Bright, Jade R."
Cognitive Neuroscience on Problem-Solving,Neuro-Biology,"Wong, Dorothy C."
Genes and Proteins Responsible for Neurons functioning,Neuro-Biology,"Michael, Chantale M."
Factors Concerning Animal Growth,Biology,"Vazquez, Madison C."
The Obesity in Home Pets,Biology,"Randolph, Diana K."
Traditional Dog Diet and Modern Home Pets,Biology,"Ferrell, Lani E."
Male Pregnancy Among Animals,Biology,"Freeman, Noel W."
Is Beauty Products Testing on Animals Ethical?,Biology,"Fields, Mary G."
Birds Behavioral Study,Biology,"Head, Pascale U."
Animal Science & Food Sustainability,Biology,"Bernard, Maite M."
Does Veganism Actually Influence Meat Production?,Biology,"Day, Lesley V."
Wild Animal Projects,Biology,"Snow, Hamilton B."
Fashion Industry & Animal Abuse,Biology,"Jimenez, Bree E."
Camouflage Mechanism in Sea Animals,Biology,"Bailey, Octavius Z."
Discovering Primate Language and Cognitive Function,Biology,"Powell, Hiroko I."
The History of Genetics,Biology,"Swanson, Heather B."
Darwin’s Theory and Biology,Biology,"Branch, Ramona I."
Discovering Evolution Factors,Biology,"Yates, Kylee J."
How Archeology Impacts Animal Biology?,Biology,"Lynch, Price A."
Natural Selection Theory: The Discovery and Its Impact,Biology,"Nolan, Neve J."
Effects of Whale Hunting,Biology,"Mueller, Raven R."
Dead Branches of Evolution,Biology,"Thomas, Ishmael R."
Famous Biologist Antonie van Leeuwenhoek,Biology,"Wiggins, Zahir P."
Edward Jenner and the History of Vaccination,Biology,"Nicholson, Keane Q."
Rachel Carson’s Perspective on Environmental Safety,Biology,"Spears, Carter P."
Stephen Jay Gold’s Paleontology: How History and Biology are Combined,Biology,"Obrien, Cecilia W."
Molecular and Genome Evolution,Biology,"King, Kelly M."
Comparative Genomics,Biology,"Hardin, Oleg I."
The Evolutionary Biology of Infectious Diseases,Biology,"Leonard, Amethyst V."
Modern Technology and Scientific Tools in Biology,Biology,"Good, Ethan M."
Neurobiological Explanation of Sleep,Biology,"Griffith, Ethan W."
Symbiosis in Parasites,Biology,"Moody, Lila L."
Metabolism & Physical Exercise,Biology,"Frazier, Lucas T."
air quality monitoring,Electronics,"Shepard, Ethan V."
Agro Weeder technology,Electronics,"Horne, Kamal U."
iot based traffic control,Electronics,"Guthrie, Yolanda T."
Voice Controlled Home Automation,Electronics,"Blackwell, Uta D."
real time system,Electronics,"Johns, Vivien M."
cadence design,Electronics,"Haynes, Francis S."
automation of simulation,Electronics,"Hopkins, Ferdinand U."
ADS Advanced Design System simulations,Electronics,"Farrell, Germane F."
analog receiver,Electronics,"Dale, Madaline B."
RECEIVER DESIGN USING ADS,Electronics,"Horton, Quincy O."
electronic instruments,Electronics,"Barnes, Dawn K."
robot-seminar topic and report,Electronics,"Valentine, Axel J."
humanoid robot-seminar topic and report,Electronics,"Dunn, Kelly L."
robotics-seminar topic and report,Electronics,"Kaufman, Nell I."
home automation-seminar topic and report,Electronics,"Shepard, Ethan V."
IOT-seminar topic and report,Electronics,"Horne, Kamal U."
5G-seminar topic and report,Electronics,"Guthrie, Yolanda T."
advanced communication system,Electronics,"Blackwell, Uta D."
IOT Based Smart Energy,Electronics,"Johns, Vivien M."
devops,Electronics,"Haynes, Francis S."
QUADCOPTER-DESIGN-CONSTRUCTION-TESTING,Electronics,"Hopkins, Ferdinand U."
energy optimization in wireless sensor network,Electronics,"Farrell, Germane F."
metal detector robot,Electronics,"Dale, Madaline B."
wireless internet service,Electronics,"Horton, Quincy O."
military robot,Electronics,"Barnes, Dawn K."
military robotics,Electronics,"Valentine, Axel J."
Application of Image Processing in Military,Electronics,"Dunn, Kelly L."
military applications of wireless sensor networks,Electronics,"Kaufman, Nell I."
military applications artificial intelligence,Electronics,Camille Abboud
secure automation system,Electronics,Christopher Abraham

Income statement (ZAR '000),"Jun 2020","Dec 2019","Jun 2019","Dec 2018","Jun 2018","Dec 2017","Jun 2017","Dec 2016","Jun 2016","Dec 2015","Jun 2015","Dec 2014","Jun 2014","Dec 2013","Jun 2013","Dec 2012","Jun 2012","Dec 2011","Jun 2011","Dec 2010","Jun 2010",
,"Interim (6m)","Final (12m)","Interim (6m)","Final (12m)","Interim (6m)","Final (12m)","Interim (6m)","Final (12m)","Interim (6m)","Final (12m)","Interim (6m)","Final (12m)","Interim (6m)","Final (12m)","Interim (6m)","Final (12m)","Interim (6m)","Final (12m)","Interim (6m)","Final (12m)","Interim (6m)",
,"31 Aug 2020","23 Mar 2020","29 Aug 2019","18 Mar 2019","27 Aug 2018","19 Mar 2018","21 Aug 2017","22 Mar 2017","22 Aug 2016","14 Mar 2016","24 Aug 2015","23 Mar 2015","25 Aug 2014","18 Mar 2014","26 Aug 2013","18 Mar 2013","27 Aug 2012","19 Mar 2012","22 Aug 2011","28 Mar 2011","23 Aug 2010",
"Turnover",2828500,5108000,2499200,4389000,2175400,3937700,2000100,3353100,1637800,2707700,1277700,1931800,959200,1766300,881700,1687200,850400,1605600,791000,1470100,740200,
"EBITDA (ProfileData Calc)",,,,,,785400,,747700,361000,563800,259700,343600,161500,297700,140700,273900,132400,298000,,278700,,
"EBITDA (company calc)",,1173600,,1083800,,823300,,,,,,,,,,,,,,,,
"Depreciation",,,,,,155300,,132500,63800,109600,51400,84400,41300,69900,35200,67600,34200,62300,,66400,,
"Operating Income",444200,869100,427600,808200,404000,668000,344000,608100,293200,448300,203000,256400,117400,221700,100600,200000,92400,230000,110200,202900,100500,
"Profit Before Exceptional Items",444200,869100,427600,808200,404000,668000,344000,608100,293200,448300,203000,256400,117400,221700,100600,200000,92400,230000,110200,202900,100500,
"Exceptional Item 1",-43200,13500,13300,-39500,-33300,-31100,,,,,,,,,,-1500,,-5300,,,,
"Profit Before Interest And Tax",401000,882600,440900,768700,370700,636900,344000,608100,293200,448300,203000,256400,117400,221700,100600,198500,92400,224700,110200,202900,100500,
"Interest Received",1100,5200,4100,3700,1100,3900,2500,12600,4200,7100,5300,2800,2800,6100,4900,7800,5800,11000,7500,9400,6400,
"Interest Paid",118900,227000,105100,195700,89400,103000,44400,94300,35700,126800,55900,11900,2500,3100,1300,3800,500,200,400,200,300,
"Net Interest Paid/(Received)",117800,221800,101000,192000,88300,99100,41900,81700,31500,119700,50600,9100,-300,-3000,-3600,-4000,-5300,-10800,-7100,-9200,-6100,
"Income Before Tax",283200,660800,339900,576700,282400,537800,302100,526400,261700,328600,152400,247300,117700,224700,104200,202500,97700,235500,117300,212100,106600,
"Taxation",98500,192500,97800,180600,92800,160100,88700,148500,73000,102500,47800,80200,36600,69000,32600,64100,31000,79200,37300,63300,33600,
"Profit For The Period",184700,468300,242100,396100,189600,377700,213400,377900,188700,226100,104600,167100,81100,155700,71600,138400,66700,156300,80000,148800,73000,
"Income Attributable To Minority Interests",2800,-1100,2700,10100,9600,10700,7600,5500,200,1200,,,,,,,,,,,,
"Attributable Income Before Extraordinary Items",181900,469400,239400,386000,180000,367000,205800,372400,188500,224900,104600,167100,81100,155700,71600,138400,66700,156300,80000,148800,73000,
"Income Attributable To Equity Holders",181900,469400,239400,386000,180000,367000,205800,372400,188500,224900,104600,167100,81100,155700,71600,138400,66700,156300,80000,148800,73000,
"Total Comprehensive Income/Loss for the period",271100,449800,223400,448700,240200,371300,212600,371600,187000,238000,104600,,,,,,,,,,,
"Headline Earnings (Cont Ops)",216400,463700,233800,382900,181200,367500,205900,373500,189600,228400,104400,167500,81200,156000,71500,139100,66500,161800,80100,148600,72900,
"Enterprise Value (EV)",5699660,8501740,9483680,10141400,10105660,10821640,10636740,10346088,8753508,8896848,6828906,4101510,3690365,2970226,2863077,2674151,2283310,2633357,2075104,2347487,2246820,

surgery,age,hospital_num,rectal_temperature,pulse,respiratory_rate,temperature_extremities,peripheral_pulse,mucous_membranes,capillary_refill_time,pain,peristalsis,abdominal_distension,nasogastric_tube,nasogastric_reflux,nasogastric_reflux_ph,rectal_examination,abdomen,packed_cell_volume,total_protein,abdominocentesis_appearance,abdomcentesis_total_protein,outcome,surgical_lesion,lesion_type_1,lesion_type_2,lesion_type_3,cp_data
2,1,530101,38.5,66,28,3,3,?,2,5,4,4,?,?,?,3,5,45,8.4,?,?,2,2,11300,0,0,2
1,1,534817,39.2,88,20,?,?,4,1,3,4,2,?,?,?,4,2,50,85,2,2,3,2,2208,0,0,2
2,1,530334,38.3,40,24,1,1,3,1,3,3,1,?,?,?,1,1,33,6.7,?,?,1,2,0,0,0,1
1,9,5290409,39.1,164,84,4,1,6,2,2,4,4,1,2,5,3,?,48,7.2,3,5.3,2,1,2208,0,0,1
2,1,530255,37.3,104,35,?,?,6,2,?,?,?,?,?,?,?,?,74,7.4,?,?,2,2,4300,0,0,2
2,1,528355,?,?,?,2,1,3,1,2,3,2,2,1,?,3,3,?,?,?,?,1,2,0,0,0,2
1,1,526802,37.9,48,16,1,1,1,1,3,3,3,1,1,?,3,5,37,7,?,?,1,1,3124,0,0,2
1,1,529607,?,60,?,3,?,?,1,?,4,2,2,1,?,3,4,44,8.3,?,?,2,1,2208,0,0,2
2,1,530051,?,80,36,3,4,3,1,4,4,4,2,1,?,3,5,38,6.2,?,?,3,1,3205,0,0,2
2,9,5299629,38.3,90,?,1,?,1,1,5,3,1,2,1,?,3,?,40,6.2,1,2.2,1,2,0,0,0,1
1,1,528548,38.1,66,12,3,3,5,1,3,3,1,2,1,3,2,5,44,6,2,3.6,1,1,2124,0,0,1
2,1,527927,39.1,72,52,2,?,2,1,2,1,2,1,1,?,4,4,50,7.8,?,?,1,1,2111,0,0,2
1,1,528031,37.2,42,12,2,1,1,1,3,3,3,3,1,?,4,5,?,7,?,?,1,2,4124,0,0,2
2,9,5291329,38,92,28,1,1,2,1,1,3,2,3,?,7.2,1,1,37,6.1,1,?,2,2,0,0,0,1
1,1,534917,38.2,76,28,3,1,1,1,3,4,1,2,2,?,4,4,46,81,1,2,1,1,2112,0,0,2
1,1,530233,37.6,96,48,3,1,4,1,5,3,3,2,3,4.5,4,?,45,6.8,?,?,2,1,3207,0,0,2
1,9,5301219,?,128,36,3,3,4,2,4,4,3,3,?,?,4,5,53,7.8,3,4.7,2,2,1400,0,0,1
2,1,526639,37.5,48,24,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,1,2,0,0,0,2
1,1,5290481,37.6,64,21,1,1,2,1,2,3,1,1,1,?,2,5,40,7,1,?,1,1,4205,0,0,1
2,1,532110,39.4,110,35,4,3,6,?,?,3,3,?,?,?,?,?,55,8.7,?,?,1,2,0,0,0,2
1,1,530157,39.9,72,60,1,1,5,2,5,4,4,3,1,?,4,4,46,6.1,2,?,1,1,2111,0,0,2
2,1,529340,38.4,48,16,1,?,1,1,1,3,1,2,3,5.5,4,3,49,6.8,?,?,1,2,0,0,0,2
1,1,521681,38.6,42,34,2,1,4,?,2,3,1,?,?,?,1,?,48,7.2,?,?,1,1,3111,0,0,2
1,9,534998,38.3,130,60,?,3,?,1,2,4,?,?,?,?,?,?,50,70,?,?,1,1,3111,0,0,2
1,1,533692,38.1,60,12,3,3,3,1,?,4,3,3,2,2,?,?,51,65,?,?,1,1,3111,0,0,2
2,1,529518,37.8,60,42,?,?,?,1,?,?,?,?,?,?,?,?,?,?,?,?,1,2,0,0,0,2
1,1,530526,38.3,72,30,4,3,3,2,3,3,3,2,1,?,3,5,43,7,2,3.9,1,1,3111,0,0,1
1,1,528653,37.8,48,12,3,1,1,1,?,3,2,1,1,?,1,3,37,5.5,2,1.3,1,2,4122,0,0,1
1,1,5279442,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,2,2,4300,0,0,2
2,1,535415,37.7,48,?,2,1,1,1,1,1,1,1,1,?,?,?,45,76,?,?,1,2,0,0,0,2
2,1,529475,37.7,96,30,3,3,4,2,5,4,4,3,2,4,4,5,66,7.5,?,?,2,1,4205,0,0,2
2,1,530242,37.2,108,12,3,3,4,2,2,4,2,?,3,6,3,3,52,8.2,3,7.4,3,1,2207,0,0,1
1,1,529427,37.2,60,?,2,1,1,1,3,3,3,2,1,?,4,5,43,6.6,?,?,1,1,2209,0,0,2
1,1,529663,38.2,64,28,1,1,1,1,3,1,?,?,?,?,4,4,49,8.6,2,6.6,1,1,2208,0,0,1
1,1,529796,?,100,30,3,3,4,2,5,4,4,3,3,?,4,4,52,6.6,?,?,1,1,1124,0,0,2
2,1,528812,?,104,24,4,3,3,2,4,4,3,?,3,?,?,2,73,8.4,?,?,3,1,7111,0,0,2
2,1,529493,38.3,112,16,?,3,5,2,?,?,1,1,2,?,?,5,51,6,2,1,3,2,5205,0,0,1
1,1,533847,37.8,72,?,?,3,?,1,5,3,1,?,1,?,1,1,56,80,1,2,1,1,3111,0,0,2
2,1,528996,38.6,52,?,1,1,1,1,3,3,2,1,1,?,1,3,32,6.6,1,5,1,2,0,0,0,1
1,9,5277409,39.2,146,96,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,2,1,2113,0,0,2
1,1,529498,?,88,?,3,3,6,2,5,3,3,1,3,?,4,5,63,6.5,3,?,2,1,4205,0,0,2
2,9,5288249,39,150,72,?,?,?,?,?,?,?,?,?,?,?,?,47,8.5,?,0.1,1,1,9400,0,0,1
2,1,530301,38,60,12,3,1,3,1,3,3,1,1,1,?,2,2,47,7,?,?,1,2,3111,0,0,2
1,1,534069,?,120,?,3,4,4,1,4,4,4,1,1,?,?,5,52,67,2,2,3,1,3205,0,0,2
1,1,535407,35.4,140,24,3,3,4,2,4,4,?,2,1,?,?,5,57,69,3,2,3,1,3205,0,0,2
2,1,529827,?,120,?,4,3,4,2,5,4,4,1,1,?,4,5,60,6.5,3,?,2,1,3205,0,0,2
1,1,529888,37.9,60,15,3,?,4,2,5,4,4,2,2,?,4,5,65,7.5,?,?,1,1,2305,0,0,1
2,1,529821,37.5,48,16,1,1,1,1,1,1,1,1,1,?,1,?,37,6.5,?,?,1,2,0,0,0,2
1,1,528890,38.9,80,44,3,3,3,2,2,3,3,2,2,7,3,1,54,6.5,3,?,2,1,7111,0,0,2
2,1,529642,37.2,84,48,3,3,5,2,4,1,2,1,2,?,2,1,73,5.5,2,4.1,2,2,4300,0,0,1
2,1,529766,38.6,46,?,1,1,2,1,1,3,2,1,1,?,?,2,49,9.1,1,1.6,1,2,3111,0,0,1
1,1,527706,37.4,84,36,1,?,3,2,3,3,2,?,?,?,4,5,?,?,3,?,2,1,7209,0,0,1
2,1,529483,?,?,?,1,1,3,1,1,3,1,?,?,?,2,2,43,7.7,?,?,1,2,3111,0,0,2
2,1,530544,38.6,40,20,?,?,?,1,?,?,?,?,?,?,?,?,41,6.4,?,?,1,2,3111,0,0,1
2,1,529461,40.3,114,36,3,3,1,2,2,3,3,2,1,7,1,5,57,8.1,3,4.5,3,1,7400,0,0,1
1,9,5282839,38.6,160,20,3,?,5,1,3,3,4,3,?,?,4,?,38,?,2,?,2,1,7111,0,0,1
1,1,528872,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,24,6.7,?,?,1,1,3112,0,0,2
1,1,529640,?,64,36,2,?,2,1,5,3,3,2,2,?,?,?,42,7.7,?,?,2,1,3209,0,0,2
1,1,528298,?,?,20,4,3,3,?,5,4,3,2,?,?,4,4,53,5.9,3,?,2,1,3205,0,0,1
2,1,528904,?,96,?,3,3,3,2,5,4,4,1,2,?,4,5,60,?,?,?,2,1,4205,0,0,2
2,1,530438,37.8,48,32,1,1,3,1,2,1,?,1,1,?,4,5,37,6.7,?,?,1,2,2124,0,0,2
2,1,527957,38.5,60,?,2,2,1,1,1,2,2,2,1,?,1,1,44,7.7,?,?,1,2,0,0,0,2
1,1,528630,37.8,88,22,2,1,2,1,3,?,?,2,?,?,4,?,64,8,1,6,2,1,3205,0,0,1
2,1,534293,38.2,130,16,4,3,4,2,2,4,4,1,1,?,?,?,65,82,2,2,3,2,2209,1400,0,2
1,1,529667,39,64,36,3,1,4,2,3,3,2,1,2,7,4,5,44,7.5,3,5,1,1,2113,0,0,1
1,1,534885,?,60,36,3,1,3,1,3,3,2,1,1,?,3,4,26,72,2,1,1,1,2208,0,0,2
2,1,534784,37.9,72,?,1,1,5,2,3,3,1,1,3,2,3,4,58,74,1,2,1,1,2322,0,0,2
2,1,528931,38.4,54,24,1,1,1,1,1,3,1,2,1,?,3,2,49,7.2,1,?,1,2,3111,0,0,1
2,1,529777,?,52,16,1,?,3,1,?,?,?,2,3,5.5,?,?,55,7.2,?,?,1,2,2124,0,0,2
2,1,530276,38,48,12,1,1,1,1,1,3,?,1,1,?,3,2,42,6.3,2,4.1,1,2,3111,0,0,1
2,1,528214,37,60,20,3,?,?,1,3,?,3,2,2,4.5,4,4,43,7.6,?,?,3,1,2209,0,0,1
1,1,529424,37.8,48,28,1,1,1,1,1,2,1,2,?,?,1,1,46,5.9,2,7,1,2,0,0,0,1
1,1,5299253,37.7,56,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,2,1,2113,0,0,2
1,1,528469,38.1,52,24,1,1,5,1,4,3,1,2,3,7,1,?,54,7.5,2,2.6,2,1,2112,0,0,1
1,9,5292929,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,37,4.9,?,?,2,1,11124,0,0,2
1,9,534092,39.7,100,?,3,3,5,2,2,3,?,?,?,?,?,?,48,57,2,2,3,1,1400,0,0,2
1,1,534615,37.6,38,20,3,3,1,1,3,3,2,?,?,?,3,?,37,68,?,?,1,1,3205,0,0,2
2,1,534753,38.7,52,20,2,?,1,1,1,1,1,1,1,?,1,1,33,77,?,?,1,2,0,0,0,2
1,1,530693,?,?,?,3,3,3,3,5,3,3,3,2,?,4,5,46,5.9,?,?,2,1,3025,0,0,2
1,1,527463,37.5,96,18,1,3,6,2,3,4,2,2,3,5,?,4,69,8.9,3,?,1,1,2208,0,0,1
1,1,527518,36.4,98,35,3,3,4,1,4,3,2,?,?,?,4,4,47,6.4,3,3.6,2,1,2205,0,0,1
1,1,534756,37.3,40,?,?,3,1,1,2,3,2,3,1,?,3,5,36,?,3,2,1,1,3111,0,0,2
1,9,5290759,38.1,100,80,3,1,2,1,3,4,1,?,?,?,1,?,36,5.7,?,?,1,1,3111,0,0,2
1,1,5279822,38,?,24,3,3,6,2,5,?,4,1,1,?,?,?,68,7.8,?,?,2,1,3205,0,0,2
1,1,529849,37.8,60,80,1,3,2,2,2,3,3,?,2,5.5,4,?,40,4.5,2,?,1,1,5206,0,0,1
2,1,529304,38,54,30,2,3,3,3,3,1,2,2,2,?,?,4,45,6.2,?,?,1,2,400,0,0,2
1,1,529388,?,88,40,3,3,4,2,5,4,3,3,?,?,4,5,50,7.7,3,1.4,2,1,4205,0,0,1
2,1,528006,?,40,16,?,?,?,1,?,?,?,?,?,?,?,?,50,7,2,3.9,3,1,2208,0,0,1
2,1,529703,39,64,40,1,1,5,1,3,3,2,2,1,?,3,3,42,7.5,2,2.3,1,2,5000,0,0,1
2,1,535381,38.3,42,10,1,1,1,1,1,1,1,?,?,?,?,?,38,61,?,?,1,2,0,0,0,2
2,1,534197,38,52,16,?,?,?,?,2,?,?,?,3,1,1,1,53,86,?,?,1,1,2322,0,0,2
2,1,529461,40.3,114,36,3,3,1,2,2,3,3,2,1,7,1,5,57,8.1,3,4.5,2,1,3205,0,0,1
2,1,530251,38.8,50,20,3,1,1,1,1,1,1,2,1,?,3,1,42,6.2,?,?,1,2,0,0,0,2
2,1,530310,?,?,?,3,3,1,1,5,3,3,1,1,?,4,5,38,6.5,?,?,2,1,3205,0,0,2
2,1,528729,37.5,48,30,4,1,3,1,?,2,1,1,1,?,1,1,48,8.6,?,?,1,2,0,0,0,2
1,1,535158,37.3,48,20,?,1,2,1,3,3,3,2,1,?,3,5,41,69,?,?,1,1,3205,0,0,2
2,1,530319,?,84,36,?,?,3,1,?,3,1,2,1,?,3,2,44,8.5,?,?,1,1,3111,0,0,2
1,1,534145,38.1,88,32,3,3,4,1,2,3,3,?,3,1,4,5,55,60,?,?,3,2,3205,0,0,2
2,1,534135,37.7,44,40,2,1,3,1,1,3,2,1,1,?,1,5,41,60,?,?,1,2,0,0,0,2
2,1,530002,39.6,108,51,3,3,6,2,2,4,3,1,2,?,3,5,59,8,2,2.6,1,2,4300,0,0,1
1,1,535364,38.2,40,16,3,3,1,1,1,3,?,?,?,?,1,1,34,66,?,?,1,2,0,0,0,2
1,1,534899,?,60,20,4,3,4,2,5,4,?,?,1,?,4,5,?,?,?,?,3,1,3205,0,0,2
2,1,534938,38.3,40,16,3,?,1,1,2,?,?,?,?,?,?,?,37,57,?,?,1,2,0,0,0,2
1,9,5292489,38,140,68,1,1,1,1,3,3,2,?,?,?,2,1,39,5.3,?,?,1,1,7111,0,0,2
1,1,527563,37.8,52,24,1,3,3,1,4,4,1,2,3,5.7,2,5,48,6.6,1,3.7,2,1,5400,0,0,2
1,1,530381,?,70,36,1,?,3,2,2,3,2,2,?,?,4,5,36,7.3,?,?,1,1,31110,0,0,2
1,1,528668,38.3,52,96,?,3,3,1,?,?,?,1,1,?,1,?,43,6.1,?,?,1,1,3209,0,0,1
2,1,529764,37.3,50,32,1,1,3,1,1,3,2,?,?,?,1,?,44,7,?,?,1,2,0,0,0,2
1,1,533696,38.7,60,32,4,3,2,2,4,4,4,?,?,?,4,5,53,64,3,2,3,1,3205,0,0,2
1,9,5297379,38.4,84,40,3,3,2,1,3,3,3,1,1,?,?,?,36,6.6,2,2.8,2,1,2205,0,0,1
1,1,527544,?,70,16,3,4,5,2,2,3,2,2,1,?,4,5,60,7.5,?,?,2,1,2112,0,0,2
1,1,533736,38.3,40,16,3,?,?,1,1,3,2,?,?,?,?,?,38,58,1,2,1,1,3111,7111,0,2
1,1,534963,?,40,?,2,1,1,1,1,3,1,1,1,?,?,5,39,56,?,?,1,1,3111,0,0,2
1,1,527933,36.8,60,28,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,10,2,1,3205,0,0,1
1,1,532349,38.4,44,24,3,?,4,?,5,4,3,2,1,?,4,5,50,77,?,?,1,1,3205,0,0,2
2,1,533723,?,?,40,3,1,1,1,3,3,2,?,?,?,?,?,45,70,?,?,1,2,0,0,0,2
1,1,535208,38,44,12,1,1,1,1,3,3,3,2,1,?,4,5,42,65,?,?,1,1,3205,3111,0,2
2,1,5290482,39.5,?,?,3,3,4,2,3,4,3,?,3,5.5,4,5,?,6.7,1,?,3,1,4205,0,0,2
1,1,533983,36.5,78,30,1,?,1,1,5,3,1,?,1,?,?,?,34,75,2,1,1,1,3112,6112,0,2
2,1,535166,38.1,56,20,2,1,2,1,1,3,1,1,1,?,?,?,46,70,?,?,1,2,0,0,0,2
1,1,528682,39.4,54,66,1,1,2,1,2,3,2,1,1,?,3,4,39,6,2,?,1,1,2206,0,0,1
1,1,534556,38.3,80,40,?,?,6,2,4,3,1,?,2,?,1,4,67,10.2,2,1,3,1,2208,0,0,2
2,1,534579,38.7,40,28,2,1,1,1,3,1,1,?,?,?,1,?,39,62,1,1,1,2,0,0,0,2
1,1,530360,38.2,64,24,1,1,3,1,4,4,3,2,1,?,4,4,45,7.5,1,2,2,1,3205,0,0,1
2,1,529840,37.6,48,20,3,1,4,1,1,1,3,2,1,?,1,1,37,5.5,?,?,3,1,2205,0,0,2
1,1,528461,38,42,68,4,1,1,1,3,3,2,2,2,?,4,4,41,7.6,?,?,1,1,2205,0,0,2
1,1,530384,38.7,?,?,3,1,3,1,5,4,2,?,?,?,?,?,33,6.5,2,?,1,1,31110,0,0,2
1,1,5262541,37.4,50,32,3,3,?,1,4,4,1,2,1,?,1,?,45,7.9,2,1,1,1,2208,0,0,1
1,1,535330,37.4,84,20,?,?,3,1,2,3,3,?,?,?,?,?,31,61,?,1,3,2,2208,0,0,2
1,1,527698,38.4,49,?,?,?,1,1,?,?,1,2,1,?,?,?,44,7.6,?,?,1,1,2206,0,0,2
1,1,528964,37.8,30,12,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,2,1,2113,0,0,2
2,1,530670,37.6,88,36,3,1,1,1,3,3,2,1,3,1.5,?,?,44,6,?,?,2,1,1400,0,0,2
?,1,534572,38,48,20,3,1,3,1,4,3,1,2,1,?,3,5,43,73,2,1,?,1,3111,0,0,2
2,1,530294,37.9,40,24,1,1,1,1,2,3,1,?,?,?,?,3,40,5.7,?,?,1,1,400,0,0,2
1,1,527524,?,100,?,3,?,4,2,5,4,?,2,?,?,2,?,59,6.3,?,?,2,1,4205,0,0,2
1,9,5287179,38.1,136,48,3,3,3,1,5,1,3,2,2,4.4,2,?,33,4.9,2,2.9,2,1,2205,0,0,1
1,1,530693,?,?,?,3,3,3,2,5,3,3,3,2,?,4,5,46,5.9,?,?,2,1,3025,0,0,2
1,1,534324,38,48,?,1,1,1,1,1,2,4,2,2,?,4,5,?,?,?,?,1,1,3111,0,0,2
2,1,532349,38,56,?,1,2,3,1,1,1,1,1,1,?,1,1,42,71,?,?,1,2,0,0,0,2
2,1,534491,38,60,32,1,1,?,1,3,3,?,1,1,?,?,?,50,7,1,1,1,2,0,0,0,2
1,1,529960,38.1,44,9,3,1,1,1,2,2,1,1,1,?,4,5,31,7.3,?,?,1,2,5124,0,0,2
2,1,522979,36,42,30,?,?,5,1,?,?,?,?,?,?,?,?,64,6.8,?,?,2,2,1400,0,0,2
1,1,530402,?,120,?,4,3,6,2,5,4,4,?,?,?,4,5,57,4.5,3,3.9,2,1,3205,0,0,1
1,1,529424,37.8,48,28,1,1,1,2,1,2,1,2,?,?,1,1,46,5.9,2,7,1,2,0,0,0,1
1,1,534519,37.1,84,40,3,3,6,1,2,4,4,3,2,2,4,5,75,81,?,?,3,2,1400,0,0,2
2,1,535246,?,80,32,3,3,2,1,2,3,3,2,1,?,3,?,50,80,?,?,1,1,0,0,0,2
1,1,534115,38.2,48,?,1,3,3,1,3,4,4,1,3,2,4,5,42,71,?,?,1,1,3111,0,0,2
2,1,530001,38,44,12,2,1,3,1,3,4,3,1,2,6.5,1,4,33,6.5,?,?,2,1,2209,0,0,2
1,1,529272,38.3,132,?,?,3,6,2,2,4,2,2,3,6.2,4,4,57,8,?,5.2,1,1,2112,0,0,1
2,1,535314,38.7,48,24,?,?,?,?,1,1,?,1,1,?,1,?,34,63,?,?,1,2,0,0,0,2
2,1,533793,38.9,44,14,3,1,1,1,2,3,2,?,?,?,?,2,33,64,?,?,1,2,0,0,0,2
1,1,529399,39.3,?,?,4,3,6,2,4,4,2,1,3,4,4,4,75,?,3,4.3,2,1,2207,0,0,1
1,1,533836,?,100,?,3,3,4,2,?,4,4,2,1,2,?,?,68,64,3,2,1,1,2209,0,0,2
2,1,528804,38.6,48,20,3,1,1,1,1,3,2,2,1,?,3,2,50,7.3,1,?,1,2,3111,0,0,1
2,1,535163,38.8,48,40,1,1,3,1,3,3,4,2,?,?,?,5,41,65,?,?,1,1,4124,0,0,2
2,1,528247,38,48,20,3,3,4,1,1,4,2,2,?,5,?,2,49,8.3,1,?,1,2,400,0,0,1
2,1,528996,38.6,52,20,1,1,1,1,3,3,2,1,1,?,1,3,36,6.6,1,5,1,2,0,0,0,1
1,1,533928,37.8,60,24,1,?,3,2,?,4,4,2,3,2,?,5,52,75,?,?,3,1,2205,0,0,2
2,1,528248,38,42,40,3,1,1,1,3,3,1,?,?,?,?,?,?,?,?,?,1,2,3111,0,0,2
2,1,528134,?,?,12,1,1,2,1,2,1,2,3,1,?,1,3,44,7.5,2,?,1,2,0,0,0,1
1,1,527916,?,?,?,?,?,?,?,4,?,?,1,1,?,?,5,35,58,2,1,1,1,4205,0,0,2
1,1,530431,38.3,42,24,?,?,?,1,?,?,?,?,?,?,?,?,40,8.5,?,?,2,1,7113,0,0,2
2,1,535176,39.5,60,10,3,?,?,2,3,3,2,2,1,?,3,?,38,56,1,?,1,2,0,0,0,2
1,1,533942,38,66,20,1,3,3,1,5,3,1,1,1,?,3,?,46,46,3,2,3,1,6209,0,0,2
1,1,528523,38.7,76,?,1,1,5,2,3,3,2,2,2,?,4,4,50,8,?,?,1,1,2208,0,0,1
1,1,534925,39.4,120,48,?,?,5,1,?,3,3,1,?,?,4,?,56,64,1,2,3,2,1400,0,0,2
1,1,527916,38.3,40,18,1,1,1,1,3,1,1,?,?,?,2,1,43,5.9,1,?,1,2,0,0,0,1
2,1,528299,?,44,24,1,1,1,1,3,3,1,2,1,?,?,1,?,6.3,?,?,1,2,3111,0,0,2
1,1,530254,38.4,104,40,1,1,3,1,2,4,2,2,3,6.5,?,4,55,8.5,?,?,1,1,2124,0,0,2
1,1,535085,?,65,24,?,?,?,2,5,?,4,3,1,?,?,5,?,?,?,?,3,1,3205,0,0,2
2,1,532985,37.5,44,20,1,1,3,1,?,1,1,?,?,?,1,?,35,7.2,?,?,1,2,0,0,0,2
2,1,527677,39,86,16,3,3,5,?,3,3,3,?,2,?,?,?,68,5.8,3,6,2,1,5400,0,0,1
1,1,535292,38.5,129,48,3,3,3,1,2,4,3,1,3,2,?,?,57,66,3,2,1,1,2206,0,0,2
1,1,529729,?,104,?,3,3,5,2,2,4,3,?,3,?,4,4,69,8.6,2,3.4,2,1,2207,0,0,1
2,1,518476,?,?,?,3,4,6,?,4,?,4,?,?,?,?,?,?,?,?,?,2,1,3400,0,0,1
1,1,527929,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,1,1,2208,0,0,2
1,1,535130,38.2,60,30,1,1,3,1,3,3,1,2,1,?,3,2,48,66,?,?,1,1,6112,0,0,2
1,1,523190,?,68,14,?,?,4,1,4,?,?,?,1,4.3,?,?,?,?,2,2.8,2,1,4205,0,0,1
1,1,533968,?,60,30,3,3,4,2,5,4,4,1,1,?,4,?,45,70,3,2,1,1,6111,3111,0,2
2,1,528151,38.5,100,?,3,3,5,2,4,3,4,2,1,?,4,5,?,?,?,?,3,2,1111,0,0,1
1,1,530239,38.4,84,30,3,1,5,2,4,3,3,2,3,6.5,4,4,47,7.5,3,?,2,1,2300,0,0,2
2,1,528305,37.8,48,14,?,?,1,1,3,?,2,1,3,5.3,1,?,35,7.5,?,?,1,2,3111,0,0,1
1,1,5279822,38,?,24,3,3,6,2,5,?,4,1,1,?,?,?,68,7.8,?,?,2,1,2205,0,0,2
2,1,534857,37.8,56,16,1,1,2,1,2,1,1,2,1,?,1,?,44,68,1,1,1,2,0,0,0,2
2,1,534053,38.2,68,32,2,2,2,1,1,1,1,3,1,?,1,1,43,65,?,?,1,2,0,0,0,2
1,1,534833,38.5,120,60,4,3,6,2,?,3,?,?,?,?,?,?,54,?,?,?,1,1,5400,0,0,2
1,1,5278331,39.3,64,90,2,3,1,1,?,3,1,1,2,?,?,?,39,6.7,?,?,1,1,21110,0,0,2
1,1,527365,38.4,80,30,4,3,1,1,3,3,3,3,3,?,4,5,32,6.1,3,4.3,1,1,7209,0,0,1
1,1,533887,38.5,60,?,1,1,?,1,?,1,1,?,?,?,?,?,33,53,1,?,1,1,4111,0,0,2
1,1,5299603,38.3,60,16,3,1,1,1,2,1,1,2,2,3,1,4,30,6,1,3,1,1,31110,0,0,2
1,1,528742,37.1,40,8,?,1,4,1,3,3,1,1,1,?,3,3,23,6.7,3,?,1,1,3133,0,0,1
2,9,5287279,?,100,44,2,1,1,1,4,1,1,?,?,?,1,?,37,4.7,?,?,1,2,7111,0,0,2
1,1,534788,38.2,48,18,1,1,1,1,3,3,3,1,2,?,4,?,48,74,1,2,1,1,5111,0,0,2
1,1,529373,?,60,48,3,3,4,2,4,3,4,?,?,?,?,?,58,7.6,?,?,2,1,3205,0,0,2
2,1,534163,37.9,88,24,1,1,2,1,2,2,1,?,?,?,4,1,37,56,?,?,1,2,0,0,0,2
2,1,533697,38,44,12,3,1,1,?,?,1,2,?,?,?,1,?,42,64,?,?,1,2,0,0,0,2
2,1,529628,38.5,60,20,1,1,5,2,2,2,1,2,1,?,2,3,63,7.5,2,2.3,3,2,300,0,0,1
2,1,521399,38.5,96,36,3,3,?,2,2,4,2,1,2,?,4,5,70,8.5,?,?,2,1,1400,0,0,1
2,1,533885,38.3,60,20,1,1,1,2,1,3,1,?,?,?,3,?,34,66,?,?,1,2,0,0,0,2
2,1,534157,38.5,60,40,3,1,2,1,2,1,2,?,?,?,3,2,49,59,?,?,1,2,0,0,0,2
1,1,528047,37.3,48,12,1,?,3,1,3,1,3,2,1,?,3,3,40,6.6,2,?,1,1,3205,0,0,1
1,1,528641,38.5,86,?,1,1,3,1,4,4,3,2,1,?,3,5,45,7.4,1,3.4,2,1,3209,0,0,1
1,1,534073,37.5,48,40,?,?,?,?,?,?,?,1,1,?,?,5,41,55,3,2,3,1,2208,0,0,2
2,1,529685,37.2,36,9,1,1,1,1,2,3,1,2,1,?,4,1,35,5.7,?,?,1,2,31110,0,0,2
1,1,529528,39.2,?,23,3,1,3,1,4,4,2,2,?,?,?,?,36,6.6,1,3,1,1,3115,0,0,1
2,1,528151,38.5,100,?,3,3,5,2,4,3,4,2,1,?,4,5,?,?,?,?,3,2,4124,0,0,2
1,1,535137,38.5,96,30,2,3,4,2,4,4,3,2,1,?,3,5,50,65,?,?,1,1,6111,3112,0,2
1,1,530297,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,45,8.7,?,?,2,1,2208,0,0,2
1,1,535338,37.8,88,80,3,3,5,2,?,3,3,2,3,?,4,5,64,89,?,?,3,1,3205,0,0,2
2,1,534478,37.5,44,10,3,1,1,1,3,1,2,2,?,?,3,3,43,51,1,1,1,2,0,0,0,2
1,1,530401,37.9,68,20,?,1,2,1,2,4,2,?,?,?,1,5,45,4,3,2.8,2,1,5400,0,0,1
1,1,529893,38,86,24,4,3,4,1,2,4,4,1,1,?,4,5,45,5.5,1,10.1,2,1,3111,0,0,1
1,9,5294369,38.9,120,30,1,3,2,2,3,3,3,3,1,3,?,?,47,6.3,1,?,1,2,2124,0,0,2
1,1,528183,37.6,45,12,3,1,3,1,?,2,2,2,1,?,1,4,39,7,2,1.5,1,1,2112,0,0,1
2,1,529183,38.6,56,32,2,1,1,1,1,1,1,2,?,?,2,?,40,7,2,2.1,1,2,0,0,0,1
1,1,529135,37.8,40,12,1,1,1,1,1,2,1,2,1,?,1,2,38,7,?,?,1,1,3111,0,0,2
2,1,528977,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,1,2,0,0,0,2
1,1,5279441,38,76,18,?,?,?,2,?,?,?,?,?,?,?,?,71,11,?,?,1,1,2209,0,0,1
1,1,535240,38.1,40,36,1,2,2,1,2,2,?,?,?,?,?,?,?,?,?,?,3,1,3112,0,0,2
1,1,529736,?,52,28,3,3,4,1,3,4,3,2,1,?,4,4,37,8.1,?,?,1,1,2111,0,0,2
1,1,535029,39.2,88,58,4,4,?,2,5,4,?,?,?,?,?,?,?,?,2,2,3,2,3205,0,0,2
1,1,535031,38.5,92,40,4,3,?,1,2,4,3,?,?,?,4,?,46,67,2,2,1,1,2208,0,0,2
1,1,528800,?,112,13,4,4,4,1,2,3,1,2,1,4.5,4,4,60,6.3,3,?,1,1,2205,0,0,1
1,1,528178,37.7,66,12,1,1,3,1,3,3,2,2,?,?,4,4,31.5,6.2,2,1.6,1,1,2208,0,0,1
1,1,535392,38.8,50,14,1,1,1,1,3,1,1,1,1,?,3,5,38,58,?,?,1,1,3111,0,0,2
2,1,528931,38.4,54,24,1,1,1,1,1,3,1,2,1,?,3,2,49,7.2,1,8,1,2,3111,0,0,1
1,1,528503,39.2,120,20,4,3,5,2,2,3,3,1,3,?,?,4,60,8.8,3,?,2,1,2205,0,0,2
1,9,5289419,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,45,6.5,2,?,1,1,9000,0,0,1
1,1,535196,37.3,90,40,3,?,6,2,5,4,3,2,2,?,1,5,65,50,3,2,3,1,3205,0,0,2
1,9,534597,38.5,120,70,?,?,?,?,?,1,?,2,?,?,1,?,35,54,1,1,1,1,4205,3111,2209,2
1,1,534280,38.5,104,40,3,3,?,1,4,3,4,?,?,?,?,?,?,?,?,?,1,1,2124,0,0,2
2,1,530028,39.5,92,28,3,3,6,1,5,4,1,?,3,?,4,?,72,6.4,?,3.6,2,2,3300,0,0,2
1,1,5262543,38.5,30,18,?,?,?,?,?,?,?,?,?,?,?,?,40,7.7,?,?,1,1,2113,0,0,2
1,1,530526,38.3,72,30,4,3,3,2,3,3,3,2,1,?,3,5,43,7,2,3.9,1,1,3113,0,0,1
2,1,528729,37.5,48,30,4,1,3,1,?,2,1,1,1,?,1,1,48,8.6,?,?,1,2,400,0,0,2
1,1,528469,38.1,52,24,1,1,5,1,4,3,1,2,3,7,1,?,54,7.5,2,2.6,2,1,2206,0,0,1
2,1,528179,38.2,42,26,1,1,1,1,3,1,2,?,?,?,1,?,36,6.9,?,?,1,2,3111,0,0,2
2,1,533750,37.9,54,42,2,1,5,1,3,1,1,?,1,?,?,2,47,54,3,1,1,2,0,0,0,2
2,1,528702,36.1,88,?,3,3,3,1,3,3,2,2,3,?,?,4,45,7,3,4.8,3,1,2209,0,0,1
1,1,534183,38.1,70,22,?,1,?,1,5,3,?,?,?,?,?,5,36,65,?,?,3,1,3205,0,0,2
1,1,529160,38,90,30,4,3,4,2,5,4,4,?,?,?,4,5,55,6.1,?,?,2,1,3205,0,0,2
1,1,529045,38.2,52,16,1,1,2,1,1,2,1,1,1,?,1,?,43,8.1,?,?,1,2,0,0,0,1
1,1,530354,?,36,32,1,1,4,1,5,3,3,2,3,4,?,4,41,5.9,?,?,2,1,2205,0,0,2
1,1,5281091,38.4,92,20,1,?,?,2,?,3,3,?,?,?,1,?,?,?,?,?,1,1,2208,0,0,1
1,9,5291409,38.2,124,88,1,3,2,1,2,3,4,?,?,?,?,?,47,8,1,?,1,1,9400,0,0,1
2,1,528904,?,96,?,3,3,3,2,5,4,4,?,1,?,4,5,60,?,?,?,2,1,41110,0,0,2
1,1,530366,37.6,68,32,3,?,3,1,4,2,4,2,2,6.5,1,5,47,7.2,1,?,1,1,3209,0,0,2
1,1,530170,38.1,88,24,3,3,4,1,5,4,3,2,1,?,3,4,41,4.6,?,?,2,1,2209,0,0,2
1,1,527709,38,108,60,2,3,4,1,4,3,3,2,?,?,3,4,?,?,3,?,1,1,2205,0,0,2
2,1,528169,38.2,48,?,2,?,1,2,3,3,1,2,1,?,?,2,34,6.6,?,?,1,2,3111,0,0,2
1,1,535043,39.3,100,51,4,4,6,1,2,4,1,1,3,2,?,4,66,13,3,2,3,1,2113,0,0,2
2,1,527940,36.6,42,18,3,3,2,1,1,4,1,1,1,?,?,5,52,7.1,?,?,2,1,5111,0,0,2
1,9,5291719,38.8,124,36,3,1,2,1,2,3,4,1,1,?,4,4,50,7.6,3,?,2,1,2208,0,0,1
2,1,530561,?,112,24,3,3,4,2,5,4,2,?,?,?,4,?,40,5.3,3,2.6,1,2,400,0,0,1
1,1,533738,?,80,?,3,3,3,1,4,4,4,?,?,?,4,5,43,70,?,?,1,1,3111,0,0,2
1,9,5294539,38.8,184,84,1,?,1,1,4,1,3,?,?,?,2,?,33,3.3,?,?,2,1,7111,0,0,2
1,1,533871,37.5,72,?,2,1,1,1,2,1,1,1,1,?,1,?,35,65,2,2,3,1,7209,0,0,2
1,1,529812,38.7,96,28,3,3,4,1,?,4,?,?,3,7.5,?,?,64,9,?,?,2,1,2205,0,0,1
2,1,534719,37.5,52,12,1,1,1,1,2,3,2,2,1,?,3,5,36,61,1,1,1,2,0,0,0,2
1,1,527734,40.8,72,42,3,3,1,1,2,3,1,2,1,?,?,?,54,7.4,3,?,2,1,11400,0,0,1
2,1,534933,38,40,25,?,1,1,1,4,3,2,1,1,?,4,?,37,69,?,?,1,2,0,0,0,2
2,1,529296,38.4,48,16,2,1,1,1,1,?,2,2,1,?,?,2,39,6.5,?,?,1,2,3111,0,0,1
2,9,5305629,38.6,88,28,?,?,?,?,?,?,?,?,?,?,?,?,35,5.9,?,?,1,2,0,0,0,2
1,1,528743,37.1,75,36,?,?,3,2,4,4,2,2,3,5,4,4,48,7.4,3,3.2,2,1,12208,0,0,1
1,1,530478,38.3,44,21,3,1,2,1,3,3,3,2,1,?,1,5,44,6.5,2,4.4,1,1,2209,0,0,1
2,1,528590,?,56,68,3,1,1,1,3,3,1,2,1,?,1,?,40,6,?,?,3,1,5206,0,0,2
2,1,529865,38.6,68,20,2,1,3,1,3,3,2,1,1,?,1,5,38,6.5,1,?,1,2,5124,0,0,1
2,1,527829,38.3,54,18,3,1,2,1,2,3,2,?,3,5.4,?,4,44,7.2,3,?,1,2,2124,0,0,1
1,1,534403,38.2,42,20,?,?,1,1,?,3,?,?,?,?,3,?,47,60,?,?,1,2,0,0,0,2
1,1,527883,39.3,64,90,2,3,1,1,?,3,1,1,2,6.5,1,5,39,6.7,?,?,1,1,31110,0,0,2
1,1,528570,37.5,60,50,3,3,1,1,3,3,2,2,2,3.5,3,4,35,6.5,?,?,2,1,2209,0,0,2
1,1,534626,37.7,80,?,3,3,6,1,5,4,1,2,3,?,3,1,50,55,3,2,1,1,4206,0,0,2
1,1,529796,?,100,30,3,3,4,2,5,4,4,3,3,?,4,4,52,6.6,?,?,1,1,2124,0,0,2
1,1,528638,37.7,120,28,3,3,3,1,5,3,3,1,1,?,?,?,65,7,3,?,2,1,4205,0,0,1
1,1,534624,?,76,?,?,3,?,?,?,4,4,?,?,?,?,5,?,?,?,?,3,1,11124,0,0,2
1,9,5297159,38.8,150,50,1,3,6,2,5,3,2,1,1,?,?,?,50,6.2,?,?,2,1,4207,0,0,2
1,1,534787,38,36,16,3,1,1,1,4,2,2,3,3,2,3,?,37,75,2,1,3,2,3111,0,0,2
2,1,528620,36.9,50,40,2,3,3,1,1,3,2,3,1,7,?,?,37.5,6.5,?,?,1,2,3111,0,0,2
2,1,528019,37.8,40,16,1,1,1,1,1,1,1,?,?,?,1,1,37,6.8,?,?,1,2,0,0,0,2
2,1,529172,38.2,56,40,4,3,1,1,2,4,3,2,2,7.5,?,?,47,7.2,1,2.5,1,2,8300,0,0,1
1,1,534644,38.6,48,12,?,?,1,?,1,1,?,?,?,?,?,?,36,67,?,?,1,2,0,0,0,2
2,1,530624,40,78,?,3,3,5,1,2,3,1,1,1,?,4,1,66,6.5,?,?,2,1,8400,0,0,1
1,1,527544,?,70,16,3,4,5,2,2,3,2,2,1,?,4,5,60,7.5,?,?,2,1,1400,0,0,2
1,1,527758,38.2,72,18,?,?,?,?,?,?,?,?,?,?,?,?,35,6.4,?,?,1,1,3124,0,0,2
2,1,530439,38.5,54,?,1,1,1,1,3,1,1,2,1,?,1,?,40,6.8,2,7,1,2,0,0,0,1
1,1,5283431,38.5,66,24,1,1,1,1,3,3,1,2,1,?,4,5,40,6.7,1,?,1,1,31110,0,0,1
2,1,5275212,37.8,82,12,3,1,1,2,4,?,3,1,3,?,?,?,50,7,?,?,3,1,2205,0,0,2
2,9,5305129,39.5,84,30,?,?,?,1,?,?,?,?,?,?,?,?,28,5,?,?,1,2,0,0,0,2
1,1,529428,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,1,1,2124,0,0,2
1,1,529126,38,50,36,?,1,1,1,3,2,2,?,?,?,3,?,39,6.6,1,5.3,1,1,8400,0,0,1
2,1,535054,38.6,45,16,2,1,2,1,1,1,?,?,?,?,1,1,43,58,?,?,1,2,0,0,0,2
1,1,528890,38.9,80,44,3,3,3,1,2,3,3,2,2,7,3,1,54,6.5,3,?,2,1,7111,0,0,2
1,1,530034,37,66,20,1,3,2,1,4,3,3,1,?,?,1,5,35,6.9,2,?,2,1,31110,0,0,2
1,1,534004,?,78,24,3,3,3,1,?,3,?,2,1,?,?,4,43,62,?,2,3,2,2209,0,0,2
2,1,533902,38.5,40,16,1,1,1,1,2,1,1,?,?,?,3,2,37,67,?,?,1,2,0,0,0,2
1,1,533886,?,120,70,4,?,4,2,2,4,?,?,?,?,?,5,55,65,?,?,3,2,3205,0,0,2
2,1,527702,37.2,72,24,3,2,4,2,4,3,3,3,1,?,4,4,44,?,3,3.3,3,1,2208,0,0,1
1,1,529386,37.5,72,30,4,3,4,1,4,4,3,2,1,?,3,5,60,6.8,?,?,2,1,3205,0,0,2
1,1,530612,36.5,100,24,3,3,3,1,3,3,3,3,1,?,4,4,50,6,3,3.4,1,1,2208,0,0,1
1,1,534618,37.2,40,20,?,?,?,?,?,?,?,?,?,?,4,1,36,62,1,1,3,2,6112,0,0,2


activity_add_widget_instructions,com.airbnb.lottie.LottieAnimationView,animation
activity_broken_site,View,titleSection
activity_broken_site,ImageView,icon
activity_broken_site,TextView,title
activity_broken_site,TextView,description
activity_broken_site,TextView,brokenDomainLabel
activity_broken_site,EditText,brokenSiteUrl
activity_broken_site,EditText,feedbackMessage
activity_broken_site,Button,submitButton
activity_browser,androidx.constraintlayout.widget.ConstraintLayout,fragmentContainer
activity_browser,View,clearingInProgressView
activity_default_browser_info,View,titleSection
activity_default_browser_info,ImageView,smileyFace
activity_default_browser_info,TextView,title
activity_default_browser_info,TextView,description
activity_default_browser_info,ImageView,ctaDismissButton
activity_default_browser_info,ImageView,defaultBrowserIllustration
activity_default_browser_info,Button,launchSettingsButton
activity_feedback,FrameLayout,fragmentContainer
activity_launch,androidx.constraintlayout.widget.ConstraintLayout,rootView
activity_launch,ImageView,ddgLogo
activity_onboarding,androidx.viewpager.widget.ViewPager,viewPager
activity_user_survey,TextView,title
activity_user_survey,Button,dismissButton
activity_user_survey,WebView,webView
activity_user_survey,ProgressBar,progress
activity_user_survey,LinearLayout,errorView
add_or_edit_bookmark,com.google.android.material.textfield.TextInputLayout,bookmarkTitleInputContainer
add_or_edit_bookmark,com.google.android.material.textfield.TextInputLayout,bookmarkUrlInputContainer
add_or_edit_bookmark,EditText,titleInput
add_or_edit_bookmark,EditText,urlInput
content_about_duck_duck_go,ScrollView,longDescriptionContainer
content_about_duck_duck_go,ImageView,ddgLogo
content_about_duck_duck_go,TextView,learnMoreLink
content_bookmarks,androidx.recyclerview.widget.RecyclerView,recycler
content_bookmarks,TextView,emptyBookmarks
content_feedback,TextView,title
content_feedback,TextView,subtitle
content_feedback,ImageView,positiveFeedbackButton
content_feedback,ImageView,negativeFeedbackButton
content_feedback_negative_broken_site_feedback,ScrollView,rootScrollView
content_feedback_negative_broken_site_feedback,ImageView,emoticonImage
content_feedback_negative_broken_site_feedback,TextView,title
content_feedback_negative_broken_site_feedback,TextView,subtitle
content_feedback_negative_broken_site_feedback,com.google.android.material.textfield.TextInputLayout,brokenSiteInputContainer
content_feedback_negative_broken_site_feedback,com.google.android.material.textfield.TextInputLayout,openEndedFeedbackContainer
content_feedback_negative_broken_site_feedback,Button,submitFeedbackButton
content_feedback_negative_broken_site_feedback,com.google.android.material.textfield.TextInputEditText,brokenSiteInput
content_feedback_negative_broken_site_feedback,com.google.android.material.textfield.TextInputEditText,openEndedFeedback
content_feedback_negative_disambiguation_main_reason,ImageView,emoticonImage
content_feedback_negative_disambiguation_main_reason,TextView,title
content_feedback_negative_disambiguation_main_reason,TextView,subtitle
content_feedback_negative_disambiguation_main_reason,androidx.recyclerview.widget.RecyclerView,recyclerView
content_feedback_negative_disambiguation_sub_reason,ImageView,emoticonImage
content_feedback_negative_disambiguation_sub_reason,TextView,title
content_feedback_negative_disambiguation_sub_reason,TextView,subtitle
content_feedback_negative_disambiguation_sub_reason,androidx.recyclerview.widget.RecyclerView,recyclerView
content_feedback_open_ended_feedback,ScrollView,rootScrollView
content_feedback_open_ended_feedback,ImageView,emoticonImage
content_feedback_open_ended_feedback,TextView,title
content_feedback_open_ended_feedback,TextView,subtitle
content_feedback_open_ended_feedback,com.google.android.material.textfield.TextInputLayout,openEndedFeedbackContainer
content_feedback_open_ended_feedback,Button,submitFeedbackButton
content_feedback_open_ended_feedback,com.google.android.material.textfield.TextInputEditText,openEndedFeedback
content_feedback_positive_landing,ImageView,emoticonImage
content_feedback_positive_landing,TextView,title
content_feedback_positive_landing,TextView,subtitle
content_feedback_positive_landing,androidx.constraintlayout.widget.Guideline,guideline
content_feedback_positive_landing,Button,rateAppButton
content_feedback_positive_landing,Button,shareFeedbackButton
content_feedback_positive_landing,Button,cancelButton
content_onboarding_default_browser,androidx.constraintlayout.widget.ConstraintLayout,longDescriptionContainer
content_onboarding_default_browser,ImageView,defaultBrowserImage
content_onboarding_default_browser,LinearLayout,textContainer
content_onboarding_default_browser,Button,launchSettingsButton
content_onboarding_default_browser,Button,continueButton
content_onboarding_no_trace,androidx.constraintlayout.widget.ConstraintLayout,longDescriptionContainer
content_onboarding_no_trace,ImageView,noTraceImage
content_onboarding_no_trace,LinearLayout,textContainer
content_onboarding_no_trace,Button,continueButton
content_onboarding_protect_data,androidx.constraintlayout.widget.ConstraintLayout,longDescriptionContainer
content_onboarding_protect_data,ImageView,protectDataImage
content_onboarding_protect_data,LinearLayout,textContainer
content_onboarding_protect_data,Button,continueButton
content_privacy_dashboard,include,privacyGrade
content_privacy_dashboard,androidx.constraintlayout.widget.ConstraintLayout,review
content_privacy_dashboard,androidx.constraintlayout.widget.ConstraintLayout,privacyToggleContainer
content_privacy_dashboard,androidx.constraintlayout.widget.ConstraintLayout,trackerNetworkLeaderboard
content_privacy_dashboard,LinearLayout,httpsContainer
content_privacy_dashboard,LinearLayout,networksContainer
content_privacy_dashboard,LinearLayout,practicesContainer
content_privacy_dashboard,TextView,privacyToggleText
content_privacy_dashboard,androidx.appcompat.widget.SwitchCompat,privacyToggle
content_privacy_dashboard,TextView,trackerNetworkLeaderboardHeader
content_privacy_dashboard,TextView,trackerNetworkLeaderboardNotReady
content_privacy_dashboard,com.duckduckgo.app.privacy.ui.TrackerNetworkLeaderboardPillView,trackerNetworkPill1
content_privacy_dashboard,com.duckduckgo.app.privacy.ui.TrackerNetworkLeaderboardPillView,trackerNetworkPill2
content_privacy_dashboard,com.duckduckgo.app.privacy.ui.TrackerNetworkLeaderboardPillView,trackerNetworkPill3
content_privacy_dashboard,ImageView,httpsIcon
content_privacy_dashboard,TextView,httpsText
content_privacy_dashboard,ImageView,networksIcon
content_privacy_dashboard,TextView,networksText
content_privacy_dashboard,ImageView,practicesIcon
content_privacy_dashboard,TextView,practicesText
content_privacy_practices,View,bottomDivider
content_privacy_practices,TextView,tosdrLink
content_privacy_practices,androidx.constraintlayout.widget.ConstraintLayout,practicesBannerContainer
content_privacy_practices,TextView,practicesOverview
content_privacy_practices,View,topDivider
content_privacy_practices,androidx.recyclerview.widget.RecyclerView,practicesList
content_privacy_practices,ImageView,practicesBanner
content_privacy_practices,TextView,domain
content_privacy_practices,TextView,heading
content_privacy_scorecard,include,privacyGrade
content_privacy_scorecard,TextView,https
content_privacy_scorecard,TextView,trackers
content_privacy_scorecard,TextView,majorNetworks
content_privacy_scorecard,TextView,siteIsMajorNetworkMember
content_privacy_scorecard,TextView,practices
content_privacy_scorecard,TextView,beforeGrade
content_privacy_scorecard,TextView,afterGrade
content_settings,View,settingsSectionGeneralBottomDivider
content_settings,View,settingsSectionPrivacyBottomDivider
content_settings_general,androidx.constraintlayout.widget.ConstraintLayout,settingsSectionGeneral
content_settings_general,TextView,settingsGeneralTitle
content_settings_general,androidx.appcompat.widget.SwitchCompat,lightThemeToggle
content_settings_general,androidx.appcompat.widget.SwitchCompat,autocompleteToggle
content_settings_general,androidx.appcompat.widget.SwitchCompat,setAsDefaultBrowserSetting
content_settings_other,androidx.constraintlayout.widget.ConstraintLayout,settingsSectionOther
content_settings_other,TextView,settingsOtherTitle
content_settings_other,TextView,about
content_settings_other,TextView,onboarding
content_settings_other,TextView,provideFeedback
content_settings_other,com.duckduckgo.app.settings.SettingsOptionWithSubtitle,version
content_settings_privacy,androidx.constraintlayout.widget.ConstraintLayout,settingsSectionPrivacy
content_settings_privacy,TextView,settingsPrivacyTitle
content_settings_privacy,com.duckduckgo.app.settings.SettingsOptionWithSubtitle,automaticallyClearWhatSetting
content_settings_privacy,com.duckduckgo.app.settings.SettingsOptionWithSubtitle,automaticallyClearWhenSetting
content_tab_switcher,androidx.recyclerview.widget.RecyclerView,tabsRecycler
content_test,androidx.recyclerview.widget.RecyclerView,recycler
content_test,TextView,emptyBookmarks
content_tracker_networks,androidx.constraintlayout.widget.ConstraintLayout,networksBannerContainer
content_tracker_networks,TextView,networksOverview
content_tracker_networks,View,topDivider
content_tracker_networks,androidx.recyclerview.widget.RecyclerView,networksList
content_tracker_networks,ImageView,networksBanner
content_tracker_networks,TextView,domain
content_tracker_networks,TextView,heading
fragment_browser_tab,androidx.coordinatorlayout.widget.CoordinatorLayout,rootView
fragment_browser_tab,FrameLayout,webViewFullScreenContainer
fragment_browser_tab,androidx.recyclerview.widget.RecyclerView,autoCompleteSuggestionsList
fragment_browser_tab,androidx.constraintlayout.widget.ConstraintLayout,browserLayout
fragment_browser_tab,FrameLayout,webViewContainer
fragment_browser_tab,View,focusDummy
http_authentication,TextView,httpAuthInformationText
http_authentication,com.google.android.material.textfield.TextInputLayout,httpAuthUsernameContainer
http_authentication,com.google.android.material.textfield.TextInputLayout,httpAuthPasswordContainer
http_authentication,EditText,usernameInput
http_authentication,EditText,passwordInput
include_add_widget_instruction_buttons,Button,closeButton
include_add_widget_instruction_buttons,Button,homeButton
include_add_widget_instruction_steps,androidx.constraintlayout.widget.Barrier,instructionsStartBarrier
include_add_widget_instruction_steps,androidx.constraintlayout.widget.Barrier,instructionsEndBarrier
include_add_widget_instruction_steps,TextView,instructionLabel1
include_add_widget_instruction_steps,TextView,instruction1
include_add_widget_instruction_steps,TextView,instructionLabel2
include_add_widget_instruction_steps,TextView,instruction2
include_add_widget_instruction_steps,TextView,instructionLabel3
include_add_widget_instruction_steps,TextView,instruction3
include_cta,androidx.constraintlayout.widget.ConstraintLayout,cta
include_cta,include,ctaContent
include_cta_buttons,Button,ctaDismissButton
include_cta_buttons,Button,ctaOkButton
include_cta_content,ImageView,ctaIcon
include_cta_content,TextView,ctaTitle
include_cta_content,TextView,ctaSubtitle
include_duckduckgo_browser_webview,com.duckduckgo.app.browser.DuckDuckGoWebView,browserWebView
include_find_in_page,androidx.constraintlayout.widget.ConstraintLayout,findInPageContainer
include_find_in_page,EditText,findInPageInput
include_find_in_page,TextView,findInPageMatches
include_find_in_page,androidx.constraintlayout.widget.ConstraintLayout,findInPageControlButtons
include_find_in_page,ImageView,previousSearchTermButton
include_find_in_page,ImageView,nextSearchTermButton
include_find_in_page,ImageView,closeFindInPagePanel
include_new_browser_tab,androidx.constraintlayout.widget.ConstraintLayout,newTabLayout
include_new_browser_tab,ImageView,ddgLogo
include_new_browser_tab,LinearLayout,ctaContainer
include_omnibar_toolbar,com.google.android.material.appbar.AppBarLayout,appBarLayout
include_omnibar_toolbar,androidx.constraintlayout.widget.ConstraintLayout,toolbarContainer
include_omnibar_toolbar,androidx.appcompat.widget.Toolbar,toolbar
include_omnibar_toolbar,FrameLayout,browserMenu
include_omnibar_toolbar,ProgressBar,pageLoadingIndicator
include_omnibar_toolbar,androidx.constraintlayout.widget.ConstraintLayout,omniBarContainer
include_omnibar_toolbar,ImageButton,privacyGradeButton
include_omnibar_toolbar,com.duckduckgo.app.browser.omnibar.KeyboardAwareEditText,omnibarTextInput
include_omnibar_toolbar,ImageView,clearTextButton
include_privacy_dashboard_header,ImageView,privacyBanner
include_privacy_dashboard_header,TextView,domain
include_privacy_dashboard_header,TextView,heading
include_toolbar,androidx.appcompat.widget.Toolbar,toolbar
item_autocomplete_suggestion,ImageView,phraseOrUrlIndicator
item_autocomplete_suggestion,TextView,phrase
item_autocomplete_suggestion,FrameLayout,editQueryImage
item_feedback_reason,TextView,reason
item_privacy_practice,ImageView,icon
item_privacy_practice,TextView,description
item_tab,ImageView,tabUnread
item_tab,androidx.constraintlayout.widget.Guideline,guideTop
item_tab,androidx.constraintlayout.widget.Guideline,guideBottom
item_tab,ImageView,favicon
item_tab,ImageView,close
item_tab,TextView,title
item_tab,TextView,url
item_tracker_network_element,TextView,host
item_tracker_network_element,TextView,category
item_tracker_network_header,TextView,network
item_tracker_network_header,ImageView,icon
popup_window_browser_menu,LinearLayout,header
popup_window_browser_menu,ImageButton,backPopupMenuItem
popup_window_browser_menu,ImageButton,forwardPopupMenuItem
popup_window_browser_menu,ImageButton,refreshPopupMenuItem
popup_window_browser_menu,TextView,newTabPopupMenuItem
popup_window_browser_menu,TextView,bookmarksPopupMenuItem
popup_window_browser_menu,TextView,addBookmarksPopupMenuItem
popup_window_browser_menu,TextView,sharePageMenuItem
popup_window_browser_menu,TextView,findInPageMenuItem
popup_window_browser_menu,TextView,addToHome
popup_window_browser_menu,CheckBox,requestDesktopSiteCheckMenuItem
popup_window_browser_menu,TextView,brokenSitePopupMenuItem
popup_window_browser_menu,TextView,settingsPopupMenuItem
search_widget,RelativeLayout,widgetContainer
search_widget,TextView,searchInputBox
search_widget_light,RelativeLayout,widgetContainer
search_widget_light,TextView,searchInputBox
settings_automatically_clear_what_fragment,RadioGroup,settingsClearWhatGroup
settings_automatically_clear_what_fragment,RadioButton,settingNone
settings_automatically_clear_what_fragment,RadioButton,settingTabsOnly
settings_automatically_clear_what_fragment,RadioButton,settingTabsAndData
settings_automatically_clear_when_fragment,RadioGroup,settingsClearWhenGroup
settings_automatically_clear_when_fragment,RadioButton,settingAppExitOnly
settings_automatically_clear_when_fragment,RadioButton,settingInactive5Seconds
settings_automatically_clear_when_fragment,RadioButton,settingInactive5Mins
settings_automatically_clear_when_fragment,RadioButton,settingInactive15Mins
settings_automatically_clear_when_fragment,RadioButton,settingInactive30Mins
settings_automatically_clear_when_fragment,RadioButton,settingInactive60Mins
settings_option_with_subtitle,androidx.appcompat.widget.AppCompatTextView,title
settings_option_with_subtitle,androidx.appcompat.widget.AppCompatTextView,subtitle
sheet_fire_clear_data,TextView,clearAllOption
sheet_fire_clear_data,TextView,cancelOption
view_bookmark_entry,ImageView,favicon
view_bookmark_entry,TextView,title
view_bookmark_entry,TextView,url
view_bookmark_entry,ImageView,overflowMenu
view_network_tracker_pill,ImageView,icon
view_network_tracker_pill,View,separator
view_network_tracker_pill,TextView,percentage
view_tab_switcher_button,com.airbnb.lottie.LottieAnimationView,anim
view_tab_switcher_button,TextView,tabCount
view_tab_switcher_button,FrameLayout,clickZone


measure,calibration,units,data_type,quality_control
Site,NA,NA,Site identifier,NA
Plot,NA,number,plot number 1-42,NA
Treatment,NA,functional group identifier,functional group (see supporting document Winklebury_Hill_Experiment.rtf),NA
Soil depth for BD,NA,cm,Soil depth for bulk density,NA
BD,NA,g m2,Bulk density 5-10cm depth,Outlier checks
Soil.moist,NA,%,Soil moisture (average of 3 measures),"Three replicates, outlier removal."
pH,"pH 4, 7",unitless,Soil pH,5% analytical replicates.
NO3-KCL,"7,6,4,2,1ppm",mg kg-1,Soil extractable nitrate (extracted with potassium chloride),"5% analytical replicates, recalibration and blank every 20 samples. "
NH4-KCL,"5,4,3,2,1ppm",mg kg-1,Soil extractable ammonium (extracted with potassium chloride),"5% analytical replicates, recalibration and blank every 20 samples. "
Mic.TC,100mg/l,mg kg-1,Microbial biomass- total carbon,"5% analytical replicates, blank every 20 samples. "
Mic.CN,NA,unitless,Microbial biomass- carbon to nitrogen ratio,NA
Mic TN,"10,8,6,4,2ppm",mg kg-1,Microbial biomass- total nitrogen,"5% analytical replicates, recalibration and blank every 20 samples. "
Mineralised NO3,"5,4,3,2,1ppm",mg kg-1,Nitrification rate,"5% analytical replicates, recalibration and blank every 20 samples. "
Mineralised NH4,"5,4,3,2,1ppm",mg kg-1,Mineralisation rate of ammonium only,"5% analytical replicates, recalibration and blank every 20 samples. "
Total mineralised N,NA,mg kg-1,Total mineralisation rate,"5% analytical replicates, recalibration and blank every 20 samples. "
Particle Size >3mm,NA,g m2,particle size measured through >3mm sieve,Outlier checks
Particle Size 2-3mm,NA,g m2,particle size measured through 2mm sieve,Outlier checks
Particle Size 0.05-2mm,NA,g m2,particle size measured through 0.05mm sieve,Outlier checks
Particle Size 0.05-0.015mm,NA,g m2,particle size measured through 0.015mm sieve,Outlier checks
Particle Size >0.015mm,NA,g m2,particle size measured through >0.015mm sieve,Outlier checks


INDICATOR_CODE,INDICATOR_NAME,SOURCE_NOTE,SOURCE_ORGANIZATION
TX.VAL.ICTG.ZS.UN,ICT goods exports (% of total goods exports),"Information and communication technology goods exports include computers and peripheral equipment, communication equipment, consumer electronic equipment, electronic components, and other information and technology goods (miscellaneous).",United Nations Conference on Trade and Development's UNCTADstat database at http://unctadstat.unctad.org/ReportFolders/reportFolders.aspx.
TM.VAL.ICTG.ZS.UN,ICT goods imports (% total goods imports),"Information and communication technology goods imports include computers and peripheral equipment, communication equipment, consumer electronic equipment, electronic components, and other information and technology goods (miscellaneous).",United Nations Conference on Trade and Development's UNCTADstat database at http://unctadstat.unctad.org/ReportFolders/reportFolders.aspx.
IT.NET.USER.ZS,Individuals using the Internet (% of population),"Internet users are individuals who have used the Internet (from any location) in the last 3 months. The Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc.",International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
IT.NET.SECR.P6,Secure Internet servers (per 1 million people),"The number of distinct, publicly-trusted TLS/SSL certificates found in the Netcraft Secure Server Survey.",Netcraft (http://www.netcraft.com/) and World Bank population estimates.
IT.NET.SECR,Secure Internet servers,"The number of distinct, publicly-trusted TLS/SSL certificates found in the Netcraft Secure Server Survey.",Netcraft (http://www.netcraft.com/)
IT.NET.BBND.P2,Fixed broadband subscriptions (per 100 people),"Fixed broadband subscriptions refers to fixed subscriptions to high-speed access to the public Internet (a TCP/IP connection), at downstream speeds equal to, or greater than, 256 kbit/s. This includes cable modem, DSL, fiber-to-the-home/building, other fixed (wired)-broadband subscriptions, satellite broadband and terrestrial fixed wireless broadband. This total is measured irrespective of the method of payment. It excludes subscriptions that have access to data communications (including the Internet) via mobile-cellular networks. It should include fixed WiMAX and any other fixed wireless technologies. It includes both residential subscriptions and subscriptions for organizations.",International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
IT.NET.BBND,Fixed broadband subscriptions,"Fixed broadband subscriptions refers to fixed subscriptions to high-speed access to the public Internet (a TCP/IP connection), at downstream speeds equal to, or greater than, 256 kbit/s. This includes cable modem, DSL, fiber-to-the-home/building, other fixed (wired)-broadband subscriptions, satellite broadband and terrestrial fixed wireless broadband. This total is measured irrespective of the method of payment. It excludes subscriptions that have access to data communications (including the Internet) via mobile-cellular networks. It should include fixed WiMAX and any other fixed wireless technologies. It includes both residential subscriptions and subscriptions for organizations.",International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
IT.MLT.MAIN.P2,Fixed telephone subscriptions (per 100 people),"Fixed telephone subscriptions refers to the sum of active number of analogue fixed telephone lines, voice-over-IP (VoIP) subscriptions, fixed wireless local loop (WLL) subscriptions, ISDN voice-channel equivalents and fixed public payphones.",International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
IT.MLT.MAIN,Fixed telephone subscriptions,"Fixed telephone subscriptions refers to the sum of active number of analogue fixed telephone lines, voice-over-IP (VoIP) subscriptions, fixed wireless local loop (WLL) subscriptions, ISDN voice-channel equivalents and fixed public payphones.",International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
IT.CEL.SETS.P2,Mobile cellular subscriptions (per 100 people),"Mobile cellular telephone subscriptions are subscriptions to a public mobile telephone service that provide access to the PSTN using cellular technology. The indicator includes (and is split into) the number of postpaid subscriptions, and the number of active prepaid accounts (i.e. that have been used during the last three months). The indicator applies to all mobile cellular subscriptions that offer voice communications. It excludes subscriptions via data cards or USB modems, subscriptions to public mobile data services, private trunked mobile radio, telepoint, radio paging and telemetry services.",International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
IT.CEL.SETS,Mobile cellular subscriptions,"Mobile cellular telephone subscriptions are subscriptions to a public mobile telephone service that provide access to the PSTN using cellular technology. The indicator includes (and is split into) the number of postpaid subscriptions, and the number of active prepaid accounts (i.e. that have been used during the last three months). The indicator applies to all mobile cellular subscriptions that offer voice communications. It excludes subscriptions via data cards or USB modems, subscriptions to public mobile data services, private trunked mobile radio, telepoint, radio paging and telemetry services.",International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
IS.SHP.GOOD.TU,Container port traffic (TEU: 20 foot equivalent units),"Port container traffic measures the flow of containers from land to sea transport modes., and vice versa, in twenty-foot equivalent units (TEUs), a standard-size container. Data refer to coastal shipping as well as international journeys. Transshipment traffic is counted as two lifts at the intermediate port (once to off-load and again as an outbound lift) and includes empty units.",UNCTAD (http://unctad.org/en/Pages/statistics.aspx)
IS.SHP.GCNW.XQ,Liner shipping connectivity index (maximum value in 2004 = 100),"The Liner Shipping Connectivity Index captures how well countries are connected to global shipping networks. It is computed by the United Nations Conference on Trade and Development (UNCTAD) based on five components of the maritime transport sector: number of ships, their container-carrying capacity, maximum vessel size, number of services, and number of companies that deploy container ships in a country's ports. For each component a country's value is divided by the maximum value of each component in 2004, the five components are averaged for each country, and the average is divided by the maximum average for 2004 and multiplied by 100. The index generates a value of 100 for the country with the highest average index in 2004. . The underlying data come from Containerisation International Online.","United Nations Conference on Trade and Development, Review of Maritime Transport 2010."
IS.RRS.TOTL.KM,Rail lines (total route-km),"Rail lines are the length of railway route available for train service, irrespective of the number of parallel tracks.",Internation Union of Railways (UIC)
IS.RRS.PASG.KM,"Railways, passengers carried (million passenger-km)",Passengers carried by railway are the number of passengers transported by rail times kilometers traveled.,"Internation Union of Railways (UIC), OECD Statistics"
IS.RRS.GOOD.MT.K6,"Railways, goods transported (million ton-km)","Goods transported by railway are the volume of goods transported by railway, measured in metric tons times kilometers traveled.","Internation Union of Railways (UIC), OECD Statistics"
IS.AIR.PSGR,"Air transport, passengers carried",Air passengers carried include both domestic and international aircraft passengers of air carriers registered in the country.,"International Civil Aviation Organization, Civil Aviation Statistics of the World and ICAO staff estimates."
IS.AIR.GOOD.MT.K1,"Air transport, freight (million ton-km)","Air freight is the volume of freight, express, and diplomatic bags carried on each flight stage (operation of an aircraft from takeoff to its next landing), measured in metric tons times kilometers traveled.","International Civil Aviation Organization, Civil Aviation Statistics of the World and ICAO staff estimates."
IS.AIR.DPRT,"Air transport, registered carrier departures worldwide",Registered carrier departures worldwide are domestic takeoffs and takeoffs abroad of air carriers registered in the country.,"International Civil Aviation Organization, Civil Aviation Statistics of the World and ICAO staff estimates."
IP.TMK.RSCT,"Trademark applications, resident, by count","Trademark applications filed are applications to register a trademark with a national or regional Intellectual Property (IP) offices and designations received by relevant offices through the Madrid System. A trademark is a distinctive sign which identifies certain goods or services as those produced or provided by a specific person or enterprise. A trademark provides protection to the owner of the mark by ensuring the exclusive right to use it to identify goods or services, or to authorize another to use it in return for payment. The period of protection varies, but a trademark can be renewed indefinitely beyond the time limit on payment of additional fees. Resident application refers to an application filed with the IP office of or acting on behalf of the state or jurisdiction in which the first-named applicant in the application has residence. Class count is used to render application data for trademark applications across offices comparable, as some offices follow a single-class/single-design filing system while other have a multiple class/design filing system.","World Intellectual Property Organization (WIPO), Statistics Database at www.wipo.int/ipstats/. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data."
IP.TMK.NRCT,"Trademark applications, nonresident, by count","Trademark applications filed are applications to register a trademark with a national or regional Intellectual Property (IP) offices and designations received by relevant offices through the Madrid System. A trademark is a distinctive sign which identifies certain goods or services as those produced or provided by a specific person or enterprise. A trademark provides protection to the owner of the mark by ensuring the exclusive right to use it to identify goods or services, or to authorize another to use it in return for payment. The period of protection varies, but a trademark can be renewed indefinitely beyond the time limit on payment of additional fees. Non-resident application refers to an application filed with the IP office of or acting on behalf of a state or jurisdiction in which the first-named applicant in the application is not domiciled. Class count is used to render application data for trademark applications across offices comparable, as some offices follow a single-class/single-design filing system while other have a multiple class/design filing system.","World Intellectual Property Organization (WIPO), Statistics Database at www.wipo.int/ipstats/. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data."
IP.IDS.RSCT,"Industrial design applications, resident, by count","Industrial design applications are applications to register an industrial design with a national or regional Intellectual Property (IP) offices and designations received by relevant offices through the Hague System. Industrial designs are applied to a wide variety of industrial products and handicrafts. They refer to the ornamental or aesthetic aspects of a useful article, including compositions of lines or colors or any three-dimensional forms that give a special appearance to a product or handicraft. The holder of a registered industrial design has exclusive rights against unauthorized copying or imitation of the design by third parties. Industrial design registrations are valid for a limited period. The term of protection is usually 15 years for most jurisdictions. However, differences in legislation do exist, notably in China (which provides for a 10-year term from the application date). Resident application refers to an application filed with the IP office of or acting on behalf of the state or jurisdiction in which the first-named applicant in the application has residence. Design count is used to render application data for industrial applications across offices comparable, as some offices follow a single-class/single-design filing system while other have a multiple class/design filing system.","World Intellectual Property Organization (WIPO), Statistics Database at www.wipo.int/ipstats/. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data."
IP.IDS.NRCT,"Industrial design applications, nonresident, by count","Industrial design applications are applications to register an industrial design with a national or regional Intellectual Property (IP) offices and designations received by relevant offices through the Hague System. Industrial designs are applied to a wide variety of industrial products and handicrafts. They refer to the ornamental or aesthetic aspects of a useful article, including compositions of lines or colors or any three-dimensional forms that give a special appearance to a product or handicraft. The holder of a registered industrial design has exclusive rights against unauthorized copying or imitation of the design by third parties. Industrial design registrations are valid for a limited period. The term of protection is usually 15 years for most jurisdictions. However, differences in legislation do exist, notably in China (which provides for a 10-year term from the application date). Non-resident application refers to an application filed with the IP office of or acting on behalf of a state or jurisdiction in which the first-named applicant in the application is not domiciled. Design count is used to render application data for industrial applications across offices comparable, as some offices follow a single-class/single-design filing system while other have a multiple class/design filing system.","World Intellectual Property Organization (WIPO), Statistics Database at www.wipo.int/ipstats/. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data."
IE.PPN.WATR.CD,Public private partnerships investment in water and sanitation (current US$),"Public Private Partnerships in water and sanitation (current US$) refers to commitments to  infrastructure projects in water and sanitation that have reached financial closure and directly or indirectly serve the public. Movable assets, incinerators, standalone solid waste projects, and small projects are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, and greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility). It excludes divestitures and merchant projects. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars.","World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org)."
IE.PPN.TRAN.CD,Public private partnerships investment in transport (current US$),"Public Private Partnerships in transport (current US$) refers to commitments to  infrastructure projects in transport that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects are excluded. The types of projects included are  management and lease contracts, operations and management contracts with major capital expenditure,  and greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility). It excludes divestitures and merchant projects. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars.","World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org)."
IE.PPN.ENGY.CD,Public private partnerships investment in energy (current US$),"Public Private Partnerships in energy (current US$)  refers to commitments to  infrastructure projects in energy (electricity and natural gas transmission and distribution) that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects such as windmills are excluded. The types of projects included are  management and lease contracts, operations and management contracts with major capital expenditure, and greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility). It excludes divestitures and merchant projects. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars.","World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org)."
IE.PPI.WATR.CD,Investment in water and sanitation with private participation (current US$),"Investment in water and sanitation projects with private participation refers to commitments to  infrastructure projects in water and sanitation that have reached financial closure and directly or indirectly serve the public. Movable assets, incinerators, standalone solid waste projects, and small projects are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility), and divestitures. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars.","World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org)."
IE.PPI.TRAN.CD,Investment in transport with private participation (current US$),"Investment  in transport projects with private participation refers to commitments to  infrastructure projects in transport that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects are excluded. The types of projects included are  management and lease contracts, operations and management contracts with major capital expenditure, greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility), and divestitures. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars.","World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org)."
IE.PPI.ICTI.CD,Investment in ICT with private participation (current US$),"Investment in ICT projects with private participation refers to commitments to projects in ICT backbone infrastructure (including land based and submarine cables) that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects are excluded. The types of projects included are operations and management contracts, operations and management contracts with major capital expenditure, greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility), and divestitures. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars and available 2015 onwards only.","World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org)."
IE.PPI.ENGY.CD,Investment in energy with private participation (current US$),"Investment in energy projects with private participation  refers to commitments to  infrastructure projects in energy (electricity and natural gas: generation, transmission and distribution) that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects such as windmills are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility), and divestitures. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars.","World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org)."
ER.H2O.INTR.PC,Renewable internal freshwater resources per capita (cubic meters),Renewable internal freshwater resources flows refer to internal renewable resources (internal river flows and groundwater from rainfall) in the country. Renewable internal freshwater resources per capita are calculated using the World Bank's population estimates.,"Food and Agriculture Organization, AQUASTAT data."
ER.H2O.INTR.K3,"Renewable internal freshwater resources, total (billion cubic meters)",Renewable internal freshwater resources flows refer to internal renewable resources (internal river flows and groundwater from rainfall) in the country.,"Food and Agriculture Organization, AQUASTAT data."
ER.H2O.FWTL.ZS,"Annual freshwater withdrawals, total (% of internal resources)","Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenewable aquifers or desalination plants is considerable or where there is significant water reuse. Withdrawals for agriculture and industry are total withdrawals for irrigation and livestock production and for direct industrial use (including withdrawals for cooling thermoelectric plants). Withdrawals for domestic uses include drinking water, municipal use or supply, and use for public services, commercial establishments, and homes. Data are for the most recent year available for 1987-2002.","Food and Agriculture Organization, AQUASTAT data."
ER.H2O.FWTL.K3,"Annual freshwater withdrawals, total (billion cubic meters)","Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenewable aquifers or desalination plants is considerable or where there is significant water reuse. Withdrawals for agriculture and industry are total withdrawals for irrigation and livestock production and for direct industrial use (including withdrawals for cooling thermoelectric plants). Withdrawals for domestic uses include drinking water, municipal use or supply, and use for public services, commercial establishments, and homes. Data are for the most recent year available for 1987-2002.","Food and Agriculture Organization, AQUASTAT data."
ER.H2O.FWIN.ZS,"Annual freshwater withdrawals, industry (% of total freshwater withdrawal)","Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenewable aquifers or desalination plants is considerable or where there is significant water reuse. Withdrawals for industry are total withdrawals for direct industrial use (including withdrawals for cooling thermoelectric plants). Data are for the most recent year available for 1987-2002.","Food and Agriculture Organization, AQUASTAT data."
ER.H2O.FWDM.ZS,"Annual freshwater withdrawals, domestic (% of total freshwater withdrawal)","Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenewable aquifers or desalination plants is considerable or where there is significant water reuse. Withdrawals for domestic uses include drinking water, municipal use or supply, and use for public services, commercial establishments, and homes. Data are for the most recent year available for 1987-2002.","Food and Agriculture Organization, AQUASTAT data."
ER.H2O.FWAG.ZS,"Annual freshwater withdrawals, agriculture (% of total freshwater withdrawal)","Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenewable aquifers or desalination plants is considerable or where there is significant water reuse. Withdrawals for agriculture are total withdrawals for irrigation and livestock production. Data are for the most recent year available for 1987-2002.","Food and Agriculture Organization, AQUASTAT data."
EG.USE.ELEC.KH.PC,Electric power consumption (kWh per capita),"Electric power consumption measures the production of power plants and combined heat and power plants less transmission, distribution, and transformation losses and own use by heat and power plants.","IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/"
EG.ELC.PETR.ZS,Electricity production from oil sources (% of total),Sources of electricity refer to the inputs used to generate electricity. Oil refers to crude oil and petroleum products.,"IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/"
EG.ELC.NUCL.ZS,Electricity production from nuclear sources (% of total),Sources of electricity refer to the inputs used to generate electricity. Nuclear power refers to electricity produced by nuclear power plants.,"IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/"
EG.ELC.NGAS.ZS,Electricity production from natural gas sources (% of total),Sources of electricity refer to the inputs used to generate electricity. Gas refers to natural gas but excludes natural gas liquids.,"IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/"
EG.ELC.LOSS.ZS,Electric power transmission and distribution losses (% of output),"Electric power transmission and distribution losses include losses in transmission between sources of supply and points of distribution and in the distribution to consumers, including pilferage.","IEA Statistics © OECD/IEA 2018 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/"
EG.ELC.HYRO.ZS,Electricity production from hydroelectric sources (% of total),Sources of electricity refer to the inputs used to generate electricity. Hydropower refers to electricity produced by hydroelectric power plants.,"IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/"
EG.ELC.COAL.ZS,Electricity production from coal sources (% of total),"Sources of electricity refer to the inputs used to generate electricity. Coal refers to all coal and brown coal, both primary (including hard coal and lignite-brown coal) and derived fuels (including patent fuel, coke oven coke, gas coke, coke oven gas, and blast furnace gas). Peat is also included in this category.","IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/"
BX.GSR.CCIS.ZS,"ICT service exports (% of service exports, BoP)",Information and communication technology service exports include computer and communications services (telecommunications and postal and courier services) and information services (computer data and news-related service transactions).,"International Monetary Fund, Balance of Payments Statistics Yearbook and data files."
BX.GSR.CCIS.CD,"ICT service exports (BoP, current US$)",Information and communication technology service exports include computer and communications services (telecommunications and postal and courier services) and information services (computer data and news-related service transactions). Data are in current U.S. dollars.,"International Monetary Fund, Balance of Payments Statistics Yearbook and data files."
,,,
BX.TRF.PWKR.CD.DT,"Personal remittances, received (current US$)","Personal remittances comprise personal transfers and compensation of employees. Personal transfers consist of all current transfers in cash or in kind made or received by resident households to or from nonresident households. Personal transfers thus include all current transfers between resident and nonresident individuals. Compensation of employees refers to the income of border, seasonal, and other short-term workers who are employed in an economy where they are not resident and of residents employed by nonresident entities. Data are the sum of two items defined in the sixth edition of the IMF's Balance of Payments Manual: personal transfers and compensation of employees. Data are in current U.S. dollars.",
IQ.SPI.PIL5,Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100),"The data infrastructure  pillar  overall score measures the hard and soft infrastructure segments, itemizing essential cross cutting requirements for an effective statistical system.  The segments are: (i) legislation and governance covering the existence of laws and a functioning institutional framework for the statistical system; (ii) standards and methods addressing compliance with recognized frameworks and concepts; (iii) skills including level of skills within the statistical system and among users (statistical literacy); (iv) partnerships reflecting the need for the statistical system to be inclusive and coherent; and (v) finance mobilized both domestically and from donors.",
LP.LPI.INFR.XQ,Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high),"Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents evaluated the quality of trade and transport related infrastructure (e.g. ports, railroads, roads, information technology), on a rating ranging from 1 (very low) to 5 (very high). Scores are averaged across all respondents.",
NY.GDP.MKTP.KD,GDP (constant 2010 US$),"GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2010 U.S. dollars. Dollar figures for GDP are converted from domestic currencies using 2010 official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.",
SL.UEM.TOTL.ZS,"Unemployment, total (% of total labor force) (modeled ILO estimate)",Unemployment refers to the share of the labor force that is without work but available for and seeking employment.,
SP.POP.TOTL,"Population, total","Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.",

PubmedArticleSet,PubmedArticle,MedlineCitation,PMID,DateRevised,Year,Month,Day,Article,Journal,ISSN,JournalIssue,PubDate,Title,ISOAbbreviation,ArticleTitle,ELocationID,Abstract,AbstractText,AuthorList,Author,LastName,ForeName,Initials,AffiliationInfo,Affiliation,Language,PublicationTypeList,PublicationType,ArticleDate,MedlineJournalInfo,Country,MedlineTA,NlmUniqueID,ISSNLinking,PubmedData,History,PubMedPubDate,Hour,Minute,PublicationStatus,ArticleIdList,ArticleId
,,,30379662,,2018,11,1,,,1938-808X,,,Academic medicine : journal of the Association of American Medical Colleges,Acad Med,b'Medical Student Deaths by Suicide: The Importance of Transparency.',10.1097/ACM.0000000000002507,,"b'In this Invited Commentary, the authors present a call to action regarding the paucity of data related to medical student deaths by suicide. They review the limited literature on medical student suicide and suggest that no comprehensive study has ever occurred. They believe that the available data are too limited to conclude what the rate of death by suicide is among medical students compared to their age-matched peers. The authors speculate that the lack of accurate data may be related both to reluctance on the part of schools to report deaths by suicide, and to the failure of national organizations like the Association of American Medical Colleges, Accreditation Council for Graduate Medical Education, and Liaison Committee on Medical Education to mandate reporting. The authors believe that without reliable data the medical education community will never be able to determine whether any trends or predictors are connected to medical student death by suicide and, as a result, intervening in a meaningful way will remain impossible. The authors call on the national organizing bodies of medical education to mandate reporting of deaths by suicide, and to create and maintain a database for tracking and studying these events. They advocate public access to unidentified data, linking medical schools to the number of deaths by suicide, as another method of creating accountability and influencing medical school behavior in addressing this tragic phenomenon.'",,,Muller,David,D,,"B.M. Laitman is an intern, Otolaryngology, and a recent graduate, the MD/PhD program, the Icahn School of Medicine at Mount Sinai, New York City, New York; ORCID: https://orcid.org/0000-0002-9582-6088. D. Muller is dean, Medical Education and chair, Department of Medical Education, Icahn School of Medicine at Mount Sinai, New York City, New York.",eng,,Journal Article,,,United States,Acad Med,8904605,1040-2446,,,,6,0,aheadofprint,,10.1097/ACM.0000000000002507
,,,30232175,,2018,9,21,,,1756-1833,,,BMJ (Clinical research ed.),BMJ,b'Researcher cautions against initiatives to reduce student suicide that lack evidence.',10.1136/bmj.k3969,,,,,Nunez-Mulder,Laura,L,,The BMJ.,eng,,Journal Article,,,England,BMJ,8900488,0959-8138,,,,6,0,epublish,,10.1136/bmj.k3969
,,,30219222,,2018,9,17,,,1558-0490,,,Child and adolescent psychiatric clinics of North America,Child Adolesc Psychiatr Clin N Am,b'Assisting the School in Responding to a Suicide Death: What Every Psychiatrist ShouldKnow.',10.1016/j.chc.2018.05.007,,"b'When a child or adolescent dies by suicide, many individuals are affected, most of whom are attending school. Child and adolescent psychiatrists can be called on during the wake of such tragic events in order to help schools navigate the difficult tasks following a student suicide. Being familiar with suicide postvention guidelines is crucial for anyone involved in managing the events following a student suicide. By understanding the tenets of suicide postvention and resources that are available to schools and clinicians, the tragedy of suicide can also be an opportunity to improve school mental health and suicide prevention.'",,,Jacobson,Sansea,S,,"Department of Psychiatry, Western Psychiatric Institute & Clinic, UPMC, 3811 O'Hara Street, E503, Pittsburgh, PA 15213, USA.",eng,,Review,,,United States,Child Adolesc Psychiatr Clin N Am,9313451,1056-4993,,,,6,0,ppublish,,10.1016/j.chc.2018.05.007
,,,30157089,,2018,8,30,,,1938-808X,,,Academic medicine : journal of the Association of American Medical Colleges,Acad Med,b'Medical Student Suicide Rates: A Systematic Review of the Historical and International Literature.',10.1097/ACM.0000000000002430,,"b'Gaps exist in knowledge of medical student suicide rates, risk factors, and targets for intervention. Significant barriers have impeded information collection. Yet, more comprehensive data collection is needed to understand suicide risk in this population and to implement and improve effective intervention strategies.'",,,Rackley,Sandra J,SJ,,"C.J. Blacker is fellow and instructor, Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota; ORCID: https://orcid.org/0000-0003-3510-0696. C.P. Lewis is research fellow and instructor, Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota; ORCID: https://orcid.org/0000-0001-8791-657X. C.C. Swintak is assistant professor, Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota. J.M. Bostwick is professor, Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota. S.J. Rackley is assistant professor, Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota.",eng,,Journal Article,,,United States,Acad Med,8904605,1040-2446,,,,6,0,aheadofprint,,10.1097/ACM.0000000000002430
,,,29544883,,2018,3,17,,,1097-6833,,,The Journal of pediatrics,J. Pediatr.,b'A School-Based Multilevel Study of Adolescent Suicide Ideation in California High Schools.',10.1016/j.jpeds.2017.12.070,,"b'Differences among schools in student suicide ideation are meaningful. The findings suggest an emphasis on the role of schools in prevention programs, public health campaigns to reduce suicide, multilevel research, and theory development.'",,,Roziner,Ilan,I,,"Sackler Faculty of Medicine, Tel Aviv University, Israel.",eng,,Journal Article,,,United States,J Pediatr,0375410,0022-3476,,,,6,0,ppublish,,10.1016/j.jpeds.2017.12.070
,,,2135823,,2018,3,8,,,1497-0015,,,Canadian journal of psychiatry. Revue canadienne de psychiatrie,Can J Psychiatry,b'Death by Suicide among Canadian Medical Students: A National Survey-Based Study.',10.1177/0706743717746663,,"b'Our estimated suicide rate falls within previously reported rates in medical students. While this may be lower than the national rate for Canadians between the ages of 20-30 years old, any suicide in the medical student community must be an impetus for national dialogue and further study. A strategy is needed to better define the prevalence, risk factors for and impact of medical student suicide in Canada.'",,,Roston,Christina,C,,"2 Student Affairs, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.",eng,,Journal Article,,,United States,Can J Psychiatry,7904187,0706-7437,,,,6,0,ppublish,,PMC5846966
,,,29174737,,2017,11,28,,,1573-2517,,,Journal of affective disorders,J Affect Disord,b'The role of media in preventing student suicides: A Hong Kong experience.',10.1016/j.jad.2017.11.007,,"b""The recent surge of student suicides in Hong Kong was statistically abnormal. Media engagement has changed local suicide news-reporting to become more preventive, which could have contributed to the drop of student suicides. It is essential to sustain the media's coverage of preventive reporting to maintain its enduring effect.""",,,Yip,Paul S F,PSF,,"Hong Kong Jockey Club Center for Suicide Research and Prevention, and Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong Special Administrative Region. Electronic address: sfpyip@hku.hk.",eng,,"Research Support, Non-U.S. Gov't",,,Netherlands,J Affect Disord,7906073,0165-0327,,,,6,0,ppublish,,10.1016/j.jad.2017.11.007
,,,27736739,,2016,10,14,,,1573-2517,,,Journal of affective disorders,J Affect Disord,"b""The impact of a student's suicide: Teachers' perspectives.""",10.1016/j.jad.2016.09.058,,"b""The study showed high levels of distress among teachers after exposure to a student's suicide and greater need for help than that obtained.""",,,De Leo,Diego,D,,"Australian Institute for Suicide Research and Prevention, National Centre of Excellence in Suicide Prevention, World Health Organization Collaborating Centre for Research and Training in Suicide Prevention, Griffith University, Australia.",eng,,Journal Article,,,Netherlands,J Affect Disord,7906073,0165-0327,,,,6,0,ppublish,,10.1016/j.jad.2016.09.058
,,,19261563,,2016,9,15,,,1471-2458,,,BMC public health,BMC Public Health,b'Development of suicide postvention guidelines for secondary schools: a Delphi study.',10.1186/s12889-016-2822-6,,"b'In order to respond effectively and safely to the suicide of a student, schools need to undertake a variety of postvention actions. These are the first set of postvention guidelines produced worldwide for secondary schools that are based on expert opinion using the Delphi method.'",,,Robinson,Jo,J,,"headspace National Youth Mental Health Foundation, 485 La Trobe St, Victoria, 3000, Australia. jo.robinson@orygen.org.au.",eng,,"Research Support, Non-U.S. Gov't",,,England,BMC Public Health,100968562,1471-2458,,,,6,0,epublish,,PMC4765027
,,,28345178,,2016,12,15,,,1943-278X,,,Suicide & life-threatening behavior,Suicide Life Threat Behav,b'The Interpersonal-Psychological Theory of Suicide in College Student Suicide Screening.',10.1111/sltb.12188,,"b'Suicide screening on campus is limited by effectiveness of existing questionnaires. This study tests whether Interpersonal-Psychological Theory of Suicide (IPTS) constructs may be more effective in screening than traditional risk factors measures like the Interactive Screening Protocol (ISP). Participants were 188 traditional-age students from three different campuses recruited through a subject pool and peer recruiters. IPTS risk variables as a set explained all likelihood of higher risk responses to suicidality questions that was otherwise explained by risk factors, plus additional likelihood besides. Current IPTS measures are no screening ""magic bullet,"" but further inquiry into use of these constructs is warranted.'",,,Ream,Geoffrey L,GL,,"School of Social Work, Adelphi University, Garden City, NY, USA.",eng,,Journal Article,,,England,Suicide Life Threat Behav,7608054,0363-0234,,,,6,0,ppublish,,10.1111/sltb.12188
,,,25353703,,2014,12,20,,,1469-493X,,,The Cochrane database of systematic reviews,Cochrane Database Syst Rev,b'Interventions for primary prevention of suicide in university and other post-secondary educational settings.',10.1002/14651858.CD009439.pub2,,"b'We found insufficient evidence to support widespread implementation of any programs or policies for primary suicide prevention in post-secondary educational settings. As all evaluated interventions combined primary and secondary prevention components, we were unable to determine the independent effects of primary preventive interventions. Classroom instruction and gatekeeper training increased short-term suicide-related knowledge. We found no studies that tested the effects of classroom instruction on suicidal behavior or long-term outcomes. Limited evidence suggested minimal longer-term effects of gatekeeper training on suicide-related knowledge, while no evidence was found evaluating its effect on suicidal behavior. A policy-based suicide intervention reduced student suicide, but findings have not been replicated. Our findings are limited by the overall low quality of the evidence and the lack of studies from middle- and low-income countries. Rigorously designed studies should test the effects of preventive interventions on important health outcomes, including suicidal ideation and behavior, in varying post-secondary settings.'",,,DiGuiseppi,Carolyn,C,,"Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, 13001 E 17th Pl, Box B119, Aurora, CO, USA, 80045.",eng,,Review,,,England,Cochrane Database Syst Rev,100909747,1361-6137,,,,6,0,epublish,,10.1002/14651858.CD009439.pub2
,,,25010552,,2017,1,24,,,1940-3208,,,Journal of American college health : J of ACH,J Am Coll Health,b'Sociodemographic Correlates of Suicidal Thoughts and Behaviors Among College Student Service Members/Veterans.',10.1080/07448481.2014.939982,,"b'Observed rates of suicidal thoughts and behaviors among student service members/veterans are comparable to general college study rates, but Native American student service members/veterans demonstrate increased risk.'",,,Bryan,AnnaBelle O,AO,,,eng,,Journal Article,,,United States,J Am Coll Health,8214119,0744-8481,,,,6,0,ppublish,,10.1080/07448481.2014.939982
,,,23246072,,2014,2,1,,,1532-8384,,,Comprehensive psychiatry,Compr Psychiatry,b'Temperament and character profiles of Japanese university student suicide completers.',S0010-440X(12)00246-5,,b'These results suggest that higher HA scores may predict suicide completion.',,,Kusumi,Ichiro,I,,"Department of Psychiatry, Hokkaido University Graduate School of Medicine, Sapporo, Japan. nmitsui@med.hokudai.ac.jp",eng,,"Research Support, Non-U.S. Gov't",,,United States,Compr Psychiatry,0372612,0010-440X,,,,6,0,ppublish,,10.1016/j.comppsych.2012.11.002
,,,21535095,,2011,12,14,,,1943-278X,,,Suicide & life-threatening behavior,Suicide Life Threat Behav,"b'Rate, relative risk, and method of suicide by students at 4-year colleges and universities in the United States, 2004-2005 through 2008-2009.'",10.1111/j.1943-278X.2011.00034.x,,"b'A total of 622 suicides were reported among students attending 645 distinct campuses from 2004-2005 through 2008-2009. Adjusting for gender in the population at risk of 14.9 million student-years and for the source of these data, the student suicide rate of 7.0 was significantly and substantially lower than for a matched national sample. Suicide rates by firearm were significantly and substantially lower for both female and male students. Hanging was significantly and substantially lower for male students, less prominently so for female students. It is principally the ninefold decrease in the availability of firearms on campuses (vs. homes) and secondarily other features of the campus environment that are the bases for lower student suicide rates.'",,,Schwartz,Allan J,AJ,,"University Counseling Center, University of Rochester, NY 14627-0356, USA. allan.schwartz@rochester.edu",eng,,Journal Article,,,England,Suicide Life Threat Behav,7608054,0363-0234,,,,6,0,ppublish,,10.1111/j.1943-278X.2011.00034.x
,,,20873535,,2010,10,23,,,0030-2228,,,Omega,Omega (Westport),b'The role of perfectionism in student suicide: three case studies from the UK.',,,"b'A number of studies have investigated the relationship between suicide and perfectionism but none to our knowledge have been based on studies of completed suicides. This article aims to provide important insight into the potency that certain profiles of perfectionism can claim in the path to suicide by presenting three case studies from a U.K. study of student suicide. Collectively, these case studies provide theoretical support for existing frameworks and are consistent with other literature which emphasizes those forms of perfectionism that engender severe self-criticism and self-doubt and fear of failure as most destructive.'",,,Manthorpe,Jill,J,,"Department of Social Sciences, The University of Hull, United Kingdom. J.bell@hull.ac.uk",eng,,"Research Support, Non-U.S. Gov't",,,United States,Omega (Westport),1272106,0030-2228,,,,6,0,ppublish,,10.2190/OM.61.3.e
,,,20455153,,2010,9,2,,,1543-6136,,,Archives of suicide research : official journal of the International Academy for Suicide Research,Arch Suicide Res,b'Circle of strength: a case description of culturally integrated suicide prevention.',10.1080/13811111003704852,,"b'This article presents a case description of an American Indian female at high risk for suicide in effort to document the potential effectiveness of a college student suicide prevention program designed for Northern Plains American Indian students. The program is integrative and culturally grounded within the Medicine Wheel, stressing continuity of care through programming and ongoing communication across support systems. The composite case description presented illustrates the secondary prevention aspects of the model, and how utilizing the model within the framework of continuous care was helpful for a suicidal person and produced a successful outcome over the course of 6 months.'",,,Muehlenkamp,Jennifer J,JJ,,"Department of Rural Health, University of North Dakota, 501 N. Columbia Road, Grand Forks, ND 58202, USA. jgray@medicine.nodak",eng,,Journal Article,,,England,Arch Suicide Res,9504451,1381-1118,,,,6,0,ppublish,,10.1080/13811111003704852
,,,20305588,,2010,10,12,,,0353-5053,,,Psychiatria Danubina,Psychiatr Danub,"b'Self-poisoning suicide attempts among students in Tehran, Iran.'",,,"b'The emphasis in student suicide prevention programs must be on early identification of students at risk, and appropriate treatment of episodes of psychopathology.'",,,Seghatoleslam,Tahereh,T,,"Department of Medical Toxicology and Forensic Medicine, Ardabil University of Medical Sciences, Ardabil, Iran.",eng,,"Research Support, Non-U.S. Gov't",,,Croatia,Psychiatr Danub,9424753,0353-5053,,,,6,0,ppublish,,20305588
,,,18477519,,2008,5,15,,,0744-8481,,,Journal of American college health : J of ACH,J Am Coll Health,b'Comprehensive college student suicide assessment: application of the BASIC ID.',10.3200/JACH.56.6.643-650,,"b""Whether one knows someone who is thinking of suicide, has attempted suicide, or has completed suicide, nearly all individuals who encounter suicide are affected. The influence and residual affects of suicide are further amplified as the issue reaches across communities such as college or university campuses. College and university staff must improve their response to suicidal ideation with comprehensive assessment and intervention. The authors discuss risk factors and basic screening methods for suicide risk. They present Lazarus' BASIC ID tool (ie, Behavior, Affective Responses, Sensations, Images, Cognitions, Interpersonal Relationships, and Drugs or Biological Influences) as a method for conducting a comprehensive suicide assessment. The authors demonstrate assessment procedures through a case vignette.""",,,Minton,Casey A Barrio,CA,,"Department of Graduate Studies in Counseling, Rollins College, Winter Park, FL 32789-4499, USA. dpaladino@rollins.edu",eng,,Journal Article,,,United States,J Am Coll Health,8214119,0744-8481,,,,9,0,ppublish,,10.3200/JACH.56.6.643-650
,,,17258106,,2007,1,30,,,0883-9417,,,Archives of psychiatric nursing,Arch Psychiatr Nurs,b'Assisting nursing faculty through the crisis and resolution of student suicide.',,,"b'The statistics on suicide in the United States are noteworthy, with current estimates revealing that one suicide occurs every 17 minutes. Although minimally addressed in the nursing literature in the 1990s, nursing student suicide and its effects remain important topics to revisit. Nursing program administrators and faculty innately know how to assist surviving nursing students through a crisis such as this. However, the same attention and resolve do not appear to be focused on surviving nursing faculty and staff. This article profiles a crisis intervention approach that may be considered for implementation in nursing programs before a crisis (such as a nursing student suicide) occurs so that appropriate and systematic interventions are put into action for all who may be affected.'",,,Mintz-Binder,Ronda,R,,"Frances P. Bolton School of Nursing, Case Western Reserve University, Cleveland, OH, USA. mintzr@lacitycollege.edu",eng,,Journal Article,,,United States,Arch Psychiatr Nurs,8708534,0883-9417,,,,9,0,ppublish,,10.1016/j.apnu.2006.08.002
,,,17024786,,2006,10,10,,,0748-1187,,,Death studies,Death Stud,b'College student suicide: a call to action.',,,"b'This article examines current issues related to the topic of college student suicide and why it continues to be an issue of major concern. The nature/extent of the problem, risk and protective factors, responses to college student suicide, legal issues, and training issues are discussed. The importance of addressing the issue of college student suicide and its prevention on college campuses is emphasized as is the importance of protective factors. Although more is being done to address this issue than has been done in the past, it remains a major concern, and it is an issue that requires a strong national response.'",,,Tallman,Benjamin,B,,"University of Iowa, 356 Lindquist Center, Iowa City, IA 52242, USA. john_westefeld@uiowa.edu",eng,,Journal Article,,,United States,Death Stud,8506890,0748-1187,,,,9,0,ppublish,,10.1080/07481180600887130
,,,16789651,,2006,6,23,,,0744-8481,,,Journal of American college health : J of ACH,J Am Coll Health,b'Four eras of study of college student suicide in the United States: 1920-2004.',,,"b'Studies of college student suicide can be grouped into the following 4 eras: 1920-1960, 1960-1980, 1980-1990, and 1990-2004. The suicide rate for students has declined monotonically across these 4 eras, from 13.4 to 8.0 to 7.5 and, most recently, to 6.5. The decreasing proportion of men in the student populations studied largely accounts for this decline. Since 1960, the suicide rate for students has consistently been about half the rate of the general US population, matched for age and gender. This highly favorable relative suicide rate is the result of firearms having been effectively banned from campuses. Additional population-oriented approaches warrant implementation to further reduce student-suicide rates. Approaches focused on high-risk groups also hold promise. These findings are based upon and may be most valid for the 70% of all students who attend 4-year colleges and universities full time.'",,,Schwartz,Allan J,AJ,,"University of Counseling Center, University of Rochester, New York 14627-0356, USA. ajsz@mail.rochester.edu",eng,,Journal Article,,,United States,J Am Coll Health,8214119,0744-8481,,,,9,0,ppublish,,10.3200/JACH.54.6.353-366
,,,16789650,,2006,6,23,,,0744-8481,,,Journal of American college health : J of ACH,J Am Coll Health,b'College student suicide in the United States: 1990-1991 through 2003-2004.',,,"b'Suggestions that there is a growing epidemic of suicide among college students in the United States are false. The National Survey of Counseling Center Directors reports 1,404 student suicides over a 14-year period and an adjusted suicide rate of 6.5, half the rate of the general US population (12.6 for all races) during this period when matched for gender and age. Counseling centers appear effective in treating suicidal students, for although the suicide rate for students who were currently or previously clients at campus counseling centers is 3 times the rate of other students, student clients have 18 times the risk of suicide compared to students in general. Identifying and referring students at elevated risk for suicide could further reduce the crude and relative rate of student suicide. However, even programs that do this only moderately well may require substantial increases in counseling staffing.'",,,Schwartz,Allan J,AJ,,"University of Counseling Center, University of Rochester, New York 14627-0356, USA. ajsz@mail.rochester.edu",eng,,Journal Article,,,United States,J Am Coll Health,8214119,0744-8481,,,,9,0,ppublish,,10.3200/JACH.54.6.341-352
,,,16552979,,2006,3,24,,,0363-0234,,,Suicide & life-threatening behavior,Suicide Life Threat Behav,b'Perceptions concerning college student suicide: data from four universities.',,,"b'The issue of suicide, including prevention, intervention, and postvention, continues to be a problem on college campuses. For this study, data concerning a variety of issues related to college student suicide were collected from 1,865 students at four different universities. Incidence, risk factors, and potential solutions are described, as well as implications for mental health professionals in university settings.'",,,Werth,James L,JL,,"Counseling Psychology, College of Education, The University of Iowa, Iowa City, IA 52242-1529, USA. John_Westefeld@uiowa.edu",eng,,Journal Article,,,England,Suicide Life Threat Behav,7608054,0363-0234,,,,9,0,ppublish,,16552979
,,,10855511,,2000,6,16,,,0933-7954,,,Social psychiatry and psychiatric epidemiology,Soc Psychiatry Psychiatr Epidemiol,b'Suicide amongst Cambridge University students 1970-1996.',,,b'Suicide rates in University of Cambridge students do not appear to be unduly high.',,,Paykel,E S,ES,,"St Lawrences Hospital, Bodmin, Cornwall, UK.",eng,,"Research Support, Non-U.S. Gov't",,,Germany,Soc Psychiatry Psychiatr Epidemiol,8804358,0933-7954,,,,9,0,ppublish,,10855511
,,,9357084,,1997,11,14,,,0363-0234,,,Suicide & life-threatening behavior,Suicide Life Threat Behav,b'The Big Ten Student Suicide Study: a 10-year study of suicides on midwestern university campuses.',,,"b'The Big Ten Student Suicide Study was undertaken from 1980-1990 to determine the suicide rates on Big Ten University campuses. The study design attempted to address many of the statistical and epidemiological flaws identified in previous studies of campus student suicides. The 10-year study collected demographic and correlational data on 261 suicides of registered students at 12 midwestern campuses. The largest number of suicides for both males and females were in the 20-24-year-old age group (46%), and amongst graduate students (32%). The overall student suicide rate of 7.5/100,000 is one half of the computed national suicide rate (15.0/100,000) for a matched sample by age, gender, and race. Despite the overall lower suicide rate, the analyses revealed that students 25 and over have a significantly higher risk than younger students. Although women have rates roughly half those of men throughout their undergraduate years, graduate women have rates not significantly different from their male counterparts (graduate women 9.1/100,000 and graduate men 11.6/100,000).'",,,Pratt,D M,DM,,"Department of Psychiatry, University of Chicago, IL 60637-1507, USA.",eng,,"Research Support, Non-U.S. Gov't",,,England,Suicide Life Threat Behav,7608054,0363-0234,,,,0,0,ppublish,,9357084
,,,8599405,,1996,4,1,,,0002-953X,,,The American journal of psychiatry,Am J Psychiatry,"b'Medical student suicide, 1989-1994.'",,,b'The results demonstrate a lower suicide rate than that found in previous studies and emphasize the need for standardized reporting methods.',,,Patel,P,P,,"Department of Psychiatry, College of Medicine, University of Kentucky, Lexington, 40536, USA.",eng,,Journal Article,,,United States,Am J Psychiatry,0370512,0002-953X,,,,0,0,ppublish,,10.1176/ajp.153.4.553
,,,8376680,,1993,7,1,,,0744-8481,,,Journal of American college health : J of ACH,J Am Coll Health,b'Becoming a part of the community: implementing a public health vision in student health services.',,,"b""Principles from public health and community health nursing provide an approach to student health services that enhances interdisciplinary collaboration and advocacy for access to care. Staff participation in the campus community requires administrative support, both in philosophy and in making outreach activities accessible to staff. Student health services at University of Maine's Cutler Health Center in Orono is implementing outreach and community involvement as ongoing aspects of the college health nursing role. Increased collaboration, visibility of nurses on campus, and improved community assessment and intervention are among the outcomes observed during the past 2 years. This article describes the principles that guide this approach and shares some community involvement experiences, including the response to a student suicide attempt, social support for students after a residence hall fire, and case management/consultation services.""",,,Eastman,M A,MA,,"Student Health Services, Cutler Health Center, University of Maine, Orono.",eng,,Journal Article,,,United States,J Am Coll Health,8214119,0744-8481,,,,0,0,ppublish,,10.1080/07448481.1993.9940457
,,,8310467,,1993,1,1,,,0363-0234,,,Suicide & life-threatening behavior,Suicide Life Threat Behav,b'Campus student suicide rates: fact or artifact?',,,"b'A review of all English-language studies (14 foreign and 17 American) on campus student suicides was undertaken. Only studies reporting original data and containing sufficient demographic information to compute standard mortality rates (SMR) or crude suicide rates were analyzed and organized into single-site studies. Only 4 single-site studies had a higher suicide rate than the comparable populations. Multiple-site collaborative studies done in the United States since 1960 strongly suggest a campus student suicide rate significantly less than in the matched control population. However, deficiencies in case finding, case definition, sampling bias, and statistical techniques may place these conclusions in doubt. The author outlines research methods that might be applied to future multiple-site studies to resolve questions related to late adolescent and young adult suicidal behavior on campus and in other similar educational settings.'",,,Silverman,M M,MM,,"Department of Psychiatry, University of Chicago, IL 60637.",eng,,Review,,,England,Suicide Life Threat Behav,7608054,0363-0234,,,,0,0,ppublish,,8310467
,,,3071541,,1988,9,1,,,0744-8481,,,Journal of American college health : J of ACH,J Am Coll Health,b'College student suicide in the United States: incidence data and prospects for demonstrating the efficacy of preventative programs.',,,,,,Reifler,C B,CB,,,eng,,Review,,,United States,J Am Coll Health,8214119,0744-8481,,,,0,0,ppublish,,10.1080/07448481.1988.9939042
,,,3499368,,1987,9,1,,,0720-4299,,,Fortschritte der Neurologie-Psychiatrie,Fortschr Neurol Psychiatr,b'[The problem of student suicide].',,,"b'This study is a psychiatric survey of the student suicide at the Tokyo University. Counting the cases reported as such to the university administration, a total of 65 students committed suicide during the 20 years from 1962 till 1981. This amounts to a yearly average of 25.6 cases per 100,000 students. A comparison of this quota with that of several Japanese and foreign universities is made. In 1970, the year in which the students unrest at the Japanese universities reached its peak, the frequency of the suicide fell to its all time low. A possible explanation of this phenomenon is proposed. Out of the 65 students who committed suicide, 25 (38%) have at least once visited the psychiatric clinic of the Tokyo University. In view of the high percentage of the mentally disturbed students in the total number of suicides, the importance of measures taken of foster the mental health of the students is stressed for reasons of suicide prophylaxis. The issue in most of these cases was the conflict between the required scholastic accomplishments and the failure of achieving them. The resulting frustration becomes the immediate motive of the suicide. Therefore, a more intensive psychiatric care of such students is recommended especially during the examination season from January till May, when in Japan the students are exposed to the highest psychological stress. Out of 25 mentally disturbed students who ended by committing suicide, 18 revealed their desire to die in a more or less expressed way already during the time of their psychiatric treatment or consultation.(ABSTRACT TRUNCATED AT 250 WORDS)'",,,Ishikawa,K,K,,Psychiatric Research Institute of Tokyo.,ger,,Journal Article,,,Germany,Fortschr Neurol Psychiatr,8103137,0720-4299,,,,0,0,ppublish,,10.1055/s-2007-1001829
,,,6966641,,1980,2,1,,,0002-7944,,,Journal of the American College Health Association,J Am Coll Health Assoc,b'Inaccuracy and uncertainty in estimates of college student suicide rates.',,,,,,Schwartz,A J,AJ,,,eng,,Journal Article,,,United States,J Am Coll Health Assoc,7503059,,,,,0,0,ppublish,,6966641
,,,1163687,,1975,7,1,,,0002-9564,,,American journal of psychotherapy,Am J Psychother,b'Growing up dead: student suicide.',,,"b'This article discusses the psychodynamic significance of suicide in the young, the family constellations that produce such suicides, the psychosocial forces contributing to the dramatic rise in the suicide rate of young people, and the special problems in the treatment of the severely suicidal young person.'",,,Hendin,H,H,,,eng,,Journal Article,,,United States,Am J Psychother,0110672,0002-9564,,,,0,0,ppublish,,10.1176/appi.psychotherapy.1975.29.3.327
,,,1117292,,1975,3,1,,,0022-3018,,,The Journal of nervous and mental disease,J. Nerv. Ment. Dis.,b'Student suicide: death as a life style.',,,"b'This is a study of the psychology of college students who are seriously suicidal. Fifty college students who had made suicide attempts were studied in detail over a 5-year period. Short term therapy was administered in most cases and long term therapy in some. Psychological tests (Wechsler Adult Intelligence Scale, Rorschach, Thematic Apperception Test, Sentence Completion, Figure Drawing, and Word Association) were performed and used as an independent check on the data derived from the interviews. The study indicates the ways in which death has become a way of life for these students--an integral, ongoing part of their adaptation. It traces the origin of this adaptation in a family relationship that the students perceived as requiring their emotional extinction. These students are tied to their parents in a kind of death knot and have become overly suicidal when live--coming to college, graduating, becoming seriously involved with another person--threatens to unravel this knot.'",,,Hendin,H,H,,,eng,,"Research Support, U.S. Gov't, Non-P.H.S.",,,United States,J Nerv Ment Dis,0375402,0022-3018,,,,0,0,ppublish,,1117292
,,,5206287,,1970,9,1,,,0036-6579,,,School health review,Sch Health Rev,b'A plan for preventing student suicide.',,,,,,Berg,D E,DE,,,eng,,Journal Article,,,United States,Sch Health Rev,7514117,0036-6579,,,,0,0,ppublish,,5206287
,,,5978026,,1966,12,1,,,0021-843X,,,Journal of abnormal psychology,J Abnorm Psychol,b'Campus tragedy: a study of student suicide.',,,,,,Seiden,R H,RH,,,eng,,Journal Article,,,United States,J Abnorm Psychol,0034461,0021-843X,,,,0,0,ppublish,,5978026
,,,5841014,,1965,12,1,,,0002-7944,,,Journal of the American College Health Association,J Am Coll Health Assoc,b'Student suicide: fact or fancy?',,,,,,Seiden,R H,RH,,,eng,,Journal Article,,,United States,J Am Coll Health Assoc,7503059,,,,,0,0,ppublish,,5841014
,,,14467571,,1961,12,1,,,,,,Stud. med,Studenterraad Med,b'Student suicide at Oxford university. The relevance of a university health service to student mental health.',,,,,,LYMAN,J L,JL,,,eng,,Journal Article,,,Denmark,Studenterraad Med,21020120R,,,,,0,0,ppublish,,14467571


Level 1,Level 2,Level 3,Measure Names,NegPos_Number,List of Values,Measure Values
2016FA,,,Wsch/Ftef,0 Days,All,456.131144600
2016FA,,,Success Rate,0 Days,All,0.724384981
2016FA,,,Sec. Count,0 Days,All,873
2016FA,,,Retention Rate,0 Days,All,0.858264998
2016FA,,,Number Retained,0 Days,All,19886
2016FA,,,Ftes/Ftef,0 Days,All,15.197524220
2016FA,,,Current Fill Rate,0 Days,All,0.659008983
2016FA,,,Census Fill Rate,0 Days,All,0.659008983
2016FA,,,Census Enrollment,0 Days,All,23035
2016FA,,,Number Successful,0 Days,All,16784
2016FA,,,Ftef,0 Days,All,222.96
2016FA,,,Ftes,0 Days,All,3388.44
2016FA,,,Enrollment Capacity,0 Days,All,34954
2016FA,,,Count of Migrated Data,0 Days,All,873
2016FA,,,Current Enrollment,0 Days,All,23035
2016SU,,,Wsch/Ftef,0 Days,All,439.640369663
2016SU,,,Success Rate,0 Days,All,0.813309776
2016SU,,,Sec. Count,0 Days,All,212
2016SU,,,Retention Rate,0 Days,All,0.906753043
2016SU,,,Number Retained,0 Days,All,4619
2016SU,,,Ftes/Ftef,0 Days,All,14.597827555
2016SU,,,Current Fill Rate,0 Days,All,0.455459240
2016SU,,,Census Fill Rate,0 Days,All,0.455551457
2016SU,,,Census Enrollment,0 Days,All,4940
2016SU,,,Number Successful,0 Days,All,4143
2016SU,,,Ftef,0 Days,All,51.831
2016SU,,,Ftes,0 Days,All,756.62
2016SU,,,Enrollment Capacity,0 Days,All,10844
2016SU,,,Count of Migrated Data,0 Days,All,212
2016SU,,,Current Enrollment,0 Days,All,4939
2017FA,,,Wsch/Ftef,0 Days,All,467.801748640
2017FA,,,Success Rate,0 Days,All,0.719672729
2017FA,,,Sec. Count,0 Days,All,917
2017FA,,,Retention Rate,0 Days,All,0.854429098
2017FA,,,Number Retained,0 Days,All,21096.708858196
2017FA,,,Ftes/Ftef,0 Days,All,15.579721914
2017FA,,,Current Fill Rate,0 Days,All,0.663692594
2017FA,,,Census Fill Rate,0 Days,All,0.663692594
2017FA,,,Census Enrollment,0 Days,All,24250
2017FA,,,Number Successful,0 Days,All,17768
2017FA,,,Ftef,0 Days,All,221.658
2017FA,,,Ftes,0 Days,All,3453.37
2017FA,,,Enrollment Capacity,0 Days,All,36538
2017FA,,,Count of Migrated Data,0 Days,All,917
2017FA,,,Current Enrollment,0 Days,All,24250
2017SP,,,Wsch/Ftef,0 Days,All,445.499542203
2017SP,,,Success Rate,0 Days,All,0.727512104
2017SP,,,Sec. Count,0 Days,All,900
2017SP,,,Retention Rate,0 Days,All,0.857980124
2017SP,,,Number Retained,0 Days,All,20203.715960248
2017SP,,,Ftes/Ftef,0 Days,All,14.855408799
2017SP,,,Current Fill Rate,0 Days,All,0.606360975
2017SP,,,Census Fill Rate,0 Days,All,0.606360975
2017SP,,,Census Enrollment,0 Days,All,22573
2017SP,,,Number Successful,0 Days,All,17130
2017SP,,,Ftef,0 Days,All,220.622
2017SP,,,Ftes,0 Days,All,3277.43
2017SP,,,Enrollment Capacity,0 Days,All,37227
2017SP,,,Count of Migrated Data,0 Days,All,900
2017SP,,,Current Enrollment,0 Days,All,22573
2017SU,,,Wsch/Ftef,0 Days,All,433.994787712
2017SU,,,Success Rate,0 Days,All,0.806141634
2017SU,,,Sec. Count,0 Days,All,204
2017SU,,,Retention Rate,0 Days,All,0.905577606
2017SU,,,Number Retained,0 Days,All,4335
2017SU,,,Ftes/Ftef,0 Days,All,14.418542611
2017SU,,,Current Fill Rate,0 Days,All,0.445171074
2017SU,,,Census Fill Rate,0 Days,All,0.445171074
2017SU,,,Census Enrollment,0 Days,All,4697
2017SU,,,Number Successful,0 Days,All,3859
2017SU,,,Ftef,0 Days,All,48.731
2017SU,,,Ftes,0 Days,All,702.63
2017SU,,,Enrollment Capacity,0 Days,All,10551
2017SU,,,Count of Migrated Data,0 Days,All,204
2017SU,,,Current Enrollment,0 Days,All,4697
2018FA,,,Wsch/Ftef,0 Days,All,526.296691382
2018FA,,,Success Rate,0 Days,All,0.717551963
2018FA,,,Sec. Count,0 Days,All,948
2018FA,,,Retention Rate,0 Days,All,0.847613549
2018FA,,,Number Retained,0 Days,All,22022.695227098
2018FA,,,Ftes/Ftef,0 Days,All,16.336956142
2018FA,,,Current Fill Rate,0 Days,All,0.682108330
2018FA,,,Census Fill Rate,0 Days,All,0.682108330
2018FA,,,Census Enrollment,0 Days,All,25753
2018FA,,,Number Successful,0 Days,All,18642
2018FA,,,Ftef,0 Days,All,228.736
2018FA,,,Ftes,0 Days,All,3736.85
2018FA,,,Enrollment Capacity,0 Days,All,37755
2018FA,,,Count of Migrated Data,0 Days,All,948
2018FA,,,Current Enrollment,0 Days,All,25753
2018SP,,,Wsch/Ftef,0 Days,All,449.767579955
2018SP,,,Success Rate,0 Days,All,0.727329296
2018SP,,,Sec. Count,0 Days,All,907
2018SP,,,Retention Rate,0 Days,All,0.854932382
2018SP,,,Number Retained,0 Days,All,20609.854932382
2018SP,,,Ftes/Ftef,0 Days,All,14.989840321
2018SP,,,Current Fill Rate,0 Days,All,0.607247535
2018SP,,,Census Fill Rate,0 Days,All,0.607007727
2018SP,,,Census Enrollment,0 Days,All,22781
2018SP,,,Number Successful,0 Days,All,17533
2018SP,,,Ftef,0 Days,All,215.558
2018SP,,,Ftes,0 Days,All,3231.18
2018SP,,,Enrollment Capacity,0 Days,All,37530
2018SP,,,Count of Migrated Data,0 Days,All,907
2018SP,,,Current Enrollment,0 Days,All,22790
2018SU,,,Wsch/Ftef,0 Days,All,416.373549068
2018SU,,,Success Rate,0 Days,All,0.799879324
2018SU,,,Sec. Count,0 Days,All,206
2018SU,,,Retention Rate,0 Days,All,0.899034594
2018SU,,,Number Retained,0 Days,All,4470
2018SU,,,Ftes/Ftef,0 Days,All,13.390124868
2018SU,,,Current Fill Rate,0 Days,All,0.443909803
2018SU,,,Census Fill Rate,0 Days,All,0.443909803
2018SU,,,Census Enrollment,0 Days,All,4705
2018SU,,,Number Successful,0 Days,All,3977
2018SU,,,Ftef,0 Days,All,45.488
2018SU,,,Ftes,0 Days,All,609.09
2018SU,,,Enrollment Capacity,0 Days,All,10599
2018SU,,,Count of Migrated Data,0 Days,All,206
2018SU,,,Current Enrollment,0 Days,All,4705
2019FA,,,Wsch/Ftef,0 Days,All,534.423811177
2019FA,,,Success Rate,0 Days,All,0.717577052
2019FA,,,Sec. Count,0 Days,All,965
2019FA,,,Retention Rate,0 Days,All,0.867256637
2019FA,,,Number Retained,0 Days,All,22746.407079646
2019FA,,,Ftes/Ftef,0 Days,All,16.470843457
2019FA,,,Current Fill Rate,0 Days,All,0.685070452
2019FA,,,Census Fill Rate,0 Days,All,0.685070452
2019FA,,,Census Enrollment,0 Days,All,26206
2019FA,,,Number Successful,0 Days,All,18812
2019FA,,,Ftef,0 Days,All,230.48
2019FA,,,Ftes,0 Days,All,3796.2
2019FA,,,Enrollment Capacity,0 Days,All,38253
2019FA,,,Count of Migrated Data,0 Days,All,965
2019FA,,,Current Enrollment,0 Days,All,26206
2019SP,,,Wsch/Ftef,0 Days,All,498.663101604
2019SP,,,Success Rate,0 Days,All,0.737879930
2019SP,,,Sec. Count,0 Days,All,925
2019SP,,,Retention Rate,0 Days,All,0.868835301
2019SP,,,Number Retained,0 Days,All,20754.737670602
2019SP,,,Ftes/Ftef,0 Days,All,15.258180005
2019SP,,,Current Fill Rate,0 Days,All,0.622741931
2019SP,,,Census Fill Rate,0 Days,All,0.622741931
2019SP,,,Census Enrollment,0 Days,All,23752
2019SP,,,Number Successful,0 Days,All,17625
2019SP,,,Ftef,0 Days,All,220.66
2019SP,,,Ftes,0 Days,All,3366.87
2019SP,,,Enrollment Capacity,0 Days,All,38141
2019SP,,,Count of Migrated Data,0 Days,All,925
2019SP,,,Current Enrollment,0 Days,All,23752
2019SU,,,Wsch/Ftef,0 Days,All,439.208664512
2019SU,,,Success Rate,0 Days,All,0.801182708
2019SU,,,Sec. Count,0 Days,All,219
2019SU,,,Retention Rate,0 Days,All,0.909461664
2019SU,,,Number Retained,0 Days,All,4460.909461664
2019SU,,,Ftes/Ftef,0 Days,All,12.898943139
2019SU,,,Current Fill Rate,0 Days,All,0.439249796
2019SU,,,Census Fill Rate,0 Days,All,0.439249796
2019SU,,,Census Enrollment,0 Days,All,4848
2019SU,,,Number Successful,0 Days,All,3929
2019SU,,,Ftef,0 Days,All,45.796
2019SU,,,Ftes,0 Days,All,590.72
2019SU,,,Enrollment Capacity,0 Days,All,11037
2019SU,,,Count of Migrated Data,0 Days,All,219
2019SU,,,Current Enrollment,0 Days,All,4848
2020FA,,,Wsch/Ftef,0 Days,All,537.534167746
2020FA,,,Success Rate,0 Days,All,0.739353561
2020FA,,,Sec. Count,0 Days,All,883
2020FA,,,Retention Rate,0 Days,All,0.889844242
2020FA,,,Number Retained,0 Days,All,20566.080129648
2020FA,,,Ftes/Ftef,0 Days,All,16.725890759
2020FA,,,Current Fill Rate,0 Days,All,0.692669553
2020FA,,,Census Fill Rate,0 Days,All,0.692669553
2020FA,,,Census Enrollment,0 Days,All,24001
2020FA,,,Number Successful,0 Days,All,16424
2020FA,,,Ftef,0 Days,All,208.53
2020FA,,,Ftes,0 Days,All,3487.85
2020FA,,,Enrollment Capacity,0 Days,All,34650
2020FA,,,Count of Migrated Data,0 Days,All,883
2020FA,,,Current Enrollment,0 Days,All,24001
2020SP,,,Wsch/Ftef,0 Days,All,495.278442091
2020SP,,,Success Rate,0 Days,All,0.689634765
2020SP,,,Sec. Count,0 Days,All,941
2020SP,,,Retention Rate,0 Days,All,0.774391275
2020SP,,,Number Retained,0 Days,All,18329.841477849
2020SP,,,Ftes/Ftef,0 Days,All,15.171574991
2020SP,,,Current Fill Rate,0 Days,All,0.600540680
2020SP,,,Census Fill Rate,0 Days,All,0.600540680
2020SP,,,Census Enrollment,0 Days,All,23325
2020SP,,,Number Successful,0 Days,All,16314
2020SP,,,Ftef,0 Days,All,219.525
2020SP,,,Ftes,0 Days,All,3330.54
2020SP,,,Enrollment Capacity,0 Days,All,38840
2020SP,,,Count of Migrated Data,0 Days,All,941
2020SP,,,Current Enrollment,0 Days,All,23325
2020SU,,,Wsch/Ftef,0 Days,All,528.124469864
2020SU,,,Success Rate,0 Days,All,0.783439490
2020SU,,,Sec. Count,0 Days,All,189
2020SU,,,Retention Rate,0 Days,All,0.882648137
2020SU,,,Number Retained,0 Days,All,4578.295888825
2020SU,,,Ftes/Ftef,0 Days,All,15.619077624
2020SU,,,Current Fill Rate,0 Days,All,0.535864556
2020SU,,,Census Fill Rate,0 Days,All,0.535864556
2020SU,,,Census Enrollment,0 Days,All,5349
2020SU,,,Number Successful,0 Days,All,4059
2020SU,,,Ftef,0 Days,All,41.263
2020SU,,,Ftes,0 Days,All,644.49
2020SU,,,Enrollment Capacity,0 Days,All,9982
2020SU,,,Count of Migrated Data,0 Days,All,189
2020SU,,,Current Enrollment,0 Days,All,5349
2021SP,,,Wsch/Ftef,0 Days,All,495.470663682
2021SP,,,Success Rate,0 Days,All,0.245901639
2021SP,,,Sec. Count,0 Days,All,826
2021SP,,,Retention Rate,0 Days,All,0.286299766
2021SP,,,Number Retained,0 Days,All,610.677400468
2021SP,,,Ftes/Ftef,0 Days,All,14.815230239
2021SP,,,Current Fill Rate,0 Days,All,0.626792088
2021SP,,,Census Fill Rate,0 Days,All,0.626792088
2021SP,,,Census Enrollment,0 Days,All,20723
2021SP,,,Number Successful,0 Days,All,420
2021SP,,,Ftef,0 Days,All,198.815
2021SP,,,Ftes,0 Days,All,2945.490000000
2021SP,,,Enrollment Capacity,0 Days,All,33062
2021SP,,,Count of Migrated Data,0 Days,All,826
2021SP,,,Current Enrollment,0 Days,All,20723


Field Name,Data Type,Definition,Notes (optional)
Project ID,Text,Project unique identification number,
Project Status,Text,Construction status of project at time of report,"Projects in predevelopment feasibility may not include unit types, target populations or affordability levels due to early stage of development"
Project Name,Text,MOHCD defined project name,
Preliminary/Marketing Address,Text,MOHCD defined address fields,
Planning Address,Text,Planning Department project address,
APN(s),Text,Project Assessor-Recorder parcel number(s),
Supervisor District,Text,Supervisorial District of project,http://data.sfgov.org/d/xz9b-wyfc
Planning Neighborhood,Text,Planning Neighborhood of project,https://data.sfgov.org/d/iacs-ws63
Lead Agency,Text,Agency overseeing project development,"MOHCD, OCII"
Program Area,Text,MOHCD/OCII project program area,"Program or OCII project area under which project is financed, underwritten or developed"
Project Type,Text,Type of development project,New construction or rehabilitation
Housing Tenure,Text,Type of arrangement households can occupy the housing,Rental or Ownership
Issuance of Notice to Proceed,Date,Date project is authorized to begin construction,Projected date Notice to Proceed will be issued to general contractor
Estimated Construction Completion,Date,Estimated date that construction or rehabilitation is complete,Projected date of Temporary Certificate of Occupancy (TCO) or DBI sign-off of completed permit job card
Project Manager,Text,MOHCD/OCII staff assigned to manage project on City's behalf,
Construction Manager,Text,MOHCD construction management staff assigned to oversee construction or rehabilitation on City's behalf,
Project Lead Sponsor,Text,Lead project developer,
Project Co-Sponsor,Text,Project co-developer,Such as joint venture partner
Project Owner,Text,Legal owner of project and borrower of MOHCD/OCII funding,
Developer Contact,Text,Developer's project manager,
DBI Permit Number,Text,Building permit number issued by Department of Building Inspection for projects under construction or rehabilitation,
Project Units,Number,Total number of units in project ,Includes affordable and market rate units
Affordable Units,Number,Total number of affordable units in project ,
Market Rate Units,Number,Total number of market rate units,
% Affordable,Number ,Percentage of affordable units in project,
Studio Units,Number ,Number of affordable studio units,Projects in predevelopment feasibility may not include unit types due to early stage of development
1bd Units,Number ,Number of affordable 1-bedroom units,
2bd Units,Number ,Number of affordable 2-bedroom units,
3bd Units,Number ,Number of affordable 3-bedroom units,
4bd Units,Number ,Number of affordable 4-bedroom units,
5+ bd Units,Number ,Number of affordable 5 bedroom or larger units,
Manager Units,Number,Total number of manager units,
Manager Unit,Text,Bedroom room type of manager's unit(s),
Family Units,Number ,"Units whose occupancy is not restricted by age, special needs population, or formerly homeless designation",Projects in predevelopment feasibility may not include target populations due to early stage of development
Senior Units,Number ,Units whose occupancy is restricted by age,
TAY Units,Number ,Units serving transition-age youth,
Homeless Units,Number ,"Units serving formerly homeless households including but not limited to homeless families, seniors, TAY, veterans and the disabled",
Disabled Units,Number ,Units restricted to disabled households such as the developmentally disabled,
20% AMI,Number ,Number of affordable units at or below 20% AMI,Projects in predevelopment feasibility may not include affordability levels due to early stage of development
30% AMI,Number ,Number of affordable units at or below 30% AMI,
50% AMI,Number ,Number of affordable units at or below 50% AMI,
55% AMI,Number ,Number of affordable units at or below 55% AMI,
60% AMI,Number ,Number of affordable units at or below 60% AMI,
80% AMI,Number ,Number of affordable units at or below 80% AMI,
90% AMI,Number ,Number of affordable units at or below 90% AMI,
100% AMI,Number ,Number of affordable units at or below 100% AMI,
120% AMI,Number ,Number of affordable units at or below 120% AMI,


Variable Name,Value Description,Question Block
How many years of professional experience do you have?,Categorical 5-year increments,All
How many years of data visualization experience do you have doing professional data visualization?,"Categorical, 1-year increments",All
Are you a Data Visualization Society member?,y/n,All
How did you learn data visualization?,"Categorical, values as string",All
What is the highest level of education you have completed?,"Categorical, values as string",All
"If you went to college, in what area was your undergraduate major?","Categorical, values as string",All
In what area was your graduate degree?,"Categorical, values as string",All
What country do you live in?,"Categorical, values as string",All
Do you consider yourself a member of a historically disadvantaged or underrepresented racial or ethnic group?,y/n,All
Which of these best describes your role as a data visualizer in the past year?,Freelance/Consultant/ Independent contractor,All
Which of these best describes your role as a data visualizer in the past year?_1,Position in an organization with some data viz job responsibilities,All
Which of these best describes your role as a data visualizer in the past year?_2,Non-compensated data visualization hobbyist,All
Which of these best describes your role as a data visualizer in the past year?_3,Student,All
Which of these best describes your role as a data visualizer in the past year?_4,Academic/Teacher,All
Which of these best describes your role as a data visualizer in the past year?_5,Passive income from data visualization related products,All
For the majority of your projects: were you hired to do data visualization only or is data visualization a part of your job/project description?,"Categorical, values as string",Freelance
Which one of these is the closest to describing your role when hired to freelance?,"Categorical, values as string",Freelance
"For most of your projects, are you able to choose your own tools or are the choices made for you?","Categorical, values as string",Freelance
"As a freelancer, who do you make data visualizations for?",General Public,Freelance
"As a freelancer, who do you make data visualizations for?_1",Analysts,Freelance
"As a freelancer, who do you make data visualizations for?_2",Engineers,Freelance
"As a freelancer, who do you make data visualizations for?_3",Scientists,Freelance
"As a freelancer, who do you make data visualizations for?_4",Medical Professionals,Freelance
"As a freelancer, who do you make data visualizations for?_5",Product or Project Managers,Freelance
"As a freelancer, who do you make data visualizations for?_6",Policy Makers,Freelance
"As a freelancer, who do you make data visualizations for?_7",Executives,Freelance
"As a freelancer, who do you make data visualizations for?_8",Designers,Freelance
"As a freelancer, who do you make data visualizations for?_9",Researchers,Freelance
"As a freelancer, who do you make data visualizations for?_10",Students or Teachers,Freelance
"As a freelancer, who do you make data visualizations for?_11",Only myself,Freelance
"As a freelancer, who do you make data visualizations for?_12","Other, free text",Freelance
The organization you work for is in which of the following areas?,Journalism,Organization Employee
The organization you work for is in which of the following areas?_1,Public sector (government),Organization Employee
The organization you work for is in which of the following areas?_2,Private sector,Organization Employee
The organization you work for is in which of the following areas?_3,Not-for-profit,Organization Employee
The organization you work for is in which of the following areas?_4,Healthcare/medical,Organization Employee
The organization you work for is in which of the following areas?_5,Information Technology,Organization Employee
The organization you work for is in which of the following areas?_6,Marketing,Organization Employee
The organization you work for is in which of the following areas?_7,Academia,Organization Employee
The organization you work for is in which of the following areas?_8,Consultant (therefore multiple areas),Organization Employee
The organization you work for is in which of the following areas?_9,"Other, free text",Organization Employee
What is the size of your organization?,"Categorical, values as string",Organization Employee
Which of these best describes the role of data visualization in your job?,"Categorical, values as string",Organization Employee
Which one of these is the closest to describing your role at your organization?,"Categorical, values as string",Organization Employee
How is your organization using data visualization?,Analysis,Organization Employee
How is your organization using data visualization?_1,Machine Learning,Organization Employee
How is your organization using data visualization?_2,Summary/Overview,Organization Employee
How is your organization using data visualization?_3,Communication,Organization Employee
How is your organization using data visualization?_4,Marketing,Organization Employee
How is your organization using data visualization?_5,Exploration,Organization Employee
How is your organization using data visualization?_6,Storytelling,Organization Employee
How is your organization using data visualization?_7,Education,Organization Employee
How is your organization using data visualization?_8,"Other, free text",Organization Employee
Is there a separate group dedicated to creating data visualization or are data visualization specialists embedded in another group?,There are no specialists in data visualization in my organization,Organization Employee
What modes of data visualization are in use at your organization?,Business Intelligence Tools (like Tableau),Organization Employee
What modes of data visualization are in use at your organization?_1,Interactive Notebooks,Organization Employee
What modes of data visualization are in use at your organization?_2,"General purpose charting libraries (plotly, highcharts)",Organization Employee
What modes of data visualization are in use at your organization?_3,"Completely custom (matplotlib, ggplot2, Processing, D3, custom code)",Organization Employee
What modes of data visualization are in use at your organization?_4,Hand-crafted in a graphics editor (Illustrator),Organization Employee
What modes of data visualization are in use at your organization?_5,Hand-crafted with pen &amp; paper or other physical means,Organization Employee
What modes of data visualization are in use at your organization?_6,Other: Excel,Organization Employee
Leadership in your organization has a strong understanding of the value of data visualization,"Categorical, values as string",Organization Employee
Data visualization at your organization features prominently in what parts of the organization?,Design,Organization Employee
Data visualization at your organization features prominently in what parts of the organization?_1,Engineering,Organization Employee
Data visualization at your organization features prominently in what parts of the organization?_2,Marketing,Organization Employee
Data visualization at your organization features prominently in what parts of the organization?_3,Research,Organization Employee
Data visualization at your organization features prominently in what parts of the organization?_4,IT,Organization Employee
Data visualization at your organization features prominently in what parts of the organization?_5,Leadership,Organization Employee
Data visualization at your organization features prominently in what parts of the organization?_6,Data Science/Analytics,Organization Employee
Data visualization at your organization features prominently in what parts of the organization?_7,Communications,Organization Employee
Data visualization at your organization features prominently in what parts of the organization?_8,Other: Operations,Organization Employee
How would you describe your relationship with stakeholders?,"Categorical, values as string",Organization Employee
Are you able to choose your own tools or are the choices made for you?,"Categorical, values as string",Organization Employee
"In your role within your organization, who do you make data visualizations for?",General Public,Organization Employee
"In your role within your organization, who do you make data visualizations for?_1",Analysts,Organization Employee
"In your role within your organization, who do you make data visualizations for?_2",Engineers,Organization Employee
"In your role within your organization, who do you make data visualizations for?_3",Scientists,Organization Employee
"In your role within your organization, who do you make data visualizations for?_4",Medical Professionals,Organization Employee
"In your role within your organization, who do you make data visualizations for?_5",Product or Project Managers,Organization Employee
"In your role within your organization, who do you make data visualizations for?_6",Policy Makers,Organization Employee
"In your role within your organization, who do you make data visualizations for?_7",Executives,Organization Employee
"In your role within your organization, who do you make data visualizations for?_8",Designers,Organization Employee
"In your role within your organization, who do you make data visualizations for?_9",Researchers,Organization Employee
"In your role within your organization, who do you make data visualizations for?_10",Students or Teachers,Organization Employee
"In your role within your organization, who do you make data visualizations for?_11",Only myself,Organization Employee
"In your role within your organization, who do you make data visualizations for?_12","Other, free text",Organization Employee
How many hours per week do you spend doing data visualization as a hobby or side project?,"Categorical, values as string",Hobbyist
"I work on uncompensated data visualization side projects in the hope of future professional benefit, such as building my public profile or developing a more impressive portfolio.","disagree-agree, 7 point scale",Hobbyist
I work on uncompensated data visualization side projects purely for my own personal enjoyment.,"disagree-agree, 7 point scale",Hobbyist
Are you a full time or part time student?,"Categorical, values as string",Student
What degree are you currently pursuing?,"Categorical, values as string",Student
Is data visualization formally taught within your degree program?,y/n,Student
What are you pursuing a degree in?,"Categorical, values as string",Student
In what academic area are you employed?,"Categorical, values as string",Teacher
Do you teach data visualization as a primary course topic?,y/n,Teacher
How do you use data visualization in your work?,Communication of research findings,Teacher
How do you use data visualization in your work?_1,Instructional purposes,Teacher
How do you use data visualization in your work?_2,As a topic of academic research,Teacher
How do you use data visualization in your work?_3,Other,Teacher
How many hours a week have you worked?,Fewer than 20 hours/week,All
Hours a week focused on creating/implementing/producing data visualizations?,"Categorical, values as string",All
Hours a week focused on data engineering?,numeric,All
Hours a week focused on data science?,numeric,All
Hours a week focused on design?,numeric,All
Hours a week focused on data prep work?,numeric,All
Hours a week focused on building your portfolio?,numeric,All
What technologies do you use to visualize data?,ArcGIS,All
What technologies do you use to visualize data?_1,Cytoscape,All
What technologies do you use to visualize data?_2,D3.js,All
What technologies do you use to visualize data?_3,Angular,All
What technologies do you use to visualize data?_4,Excel,All
What technologies do you use to visualize data?_5,ggplot2,All
What technologies do you use to visualize data?_6,Gephi,All
What technologies do you use to visualize data?_7,Highcharts,All
What technologies do you use to visualize data?_8,Illustrator,All
What technologies do you use to visualize data?_9,Java,All
What technologies do you use to visualize data?_10,Leaflet,All
What technologies do you use to visualize data?_11,Mapbox,All
What technologies do you use to visualize data?_12,kepler.gl,All
What technologies do you use to visualize data?_13,Microstrategy,All
What technologies do you use to visualize data?_14,Plotly,All
What technologies do you use to visualize data?_15,Power BI,All
What technologies do you use to visualize data?_16,Matplotlib,All
What technologies do you use to visualize data?_17,Python,All
What technologies do you use to visualize data?_18,QGIS,All
What technologies do you use to visualize data?_19,Qlik,All
What technologies do you use to visualize data?_20,R,All
What technologies do you use to visualize data?_21,React,All
What technologies do you use to visualize data?_22,Semiotic,All
What technologies do you use to visualize data?_23,Tableau,All
What technologies do you use to visualize data?_24,Vega,All
What technologies do you use to visualize data?_25,Vue,All
What technologies do you use to visualize data?_26,Web Components,All
What technologies do you use to visualize data?_27,WebGL,All
What technologies do you use to visualize data?_28,Pen &amp; Paper,All
What technologies do you use to visualize data?_29,Physical materials (other than pen and paper),All
What technologies do you use to visualize data?_30,Greensock,All
What technologies do you use to visualize data?_31,Canvas,All
What technologies do you use to visualize data?_32,P5/Processing,All
What technologies do you use to visualize data?_33,"Other, free text",All
How do you present your data visualizations?,Embedded in a tool,All
How do you present your data visualizations?_1,Dashboard,All
How do you present your data visualizations?_2,Scrollytelling,All
How do you present your data visualizations?_3,Static Web Page,All
How do you present your data visualizations?_4,Interactive Notebook,All
How do you present your data visualizations?_5,Documents or report,All
How do you present your data visualizations?_6,Presentations,All
How do you present your data visualizations?_7,Email,All
How do you present your data visualizations?_8,Newspaper or magazine,All
How do you present your data visualizations?_9,Peer reviewed journal publication,All
How do you present your data visualizations?_10,Physical handout or Printed on paper,All
How do you present your data visualizations?_11,Physical medium other than printed on paper,All
How do you present your data visualizations?_12,Augmented or Virtual reality,All
How do you present your data visualizations?_13,Installation,All
How do you present your data visualizations?_14,App,All
How do you present your data visualizations?_15,Video,All
How do you present your data visualizations?_16,"Other, free text",All
Which of these charts have you used in production in the last 6 months?,Line Chart,All
Which of these charts have you used in production in the last 6 months?_1,Bar Chart,All
Which of these charts have you used in production in the last 6 months?_2,Pie Chart,All
Which of these charts have you used in production in the last 6 months?_3,Scatterplot,All
Which of these charts have you used in production in the last 6 months?_4,Hexbin/Heatmap,All
Which of these charts have you used in production in the last 6 months?_5,Infographics,All
Which of these charts have you used in production in the last 6 months?_6,Pictorial Visualization,All
Which of these charts have you used in production in the last 6 months?_7,Treemap,All
Which of these charts have you used in production in the last 6 months?_8,Dendrogram,All
Which of these charts have you used in production in the last 6 months?_9,Network Diagram,All
Which of these charts have you used in production in the last 6 months?_10,Choropleth Map,All
Which of these charts have you used in production in the last 6 months?_11,Raster Map,All
Which of these charts have you used in production in the last 6 months?_12,"Flow Diagram (Sankey, DAGRE, Flow Chart)",All
Which of these charts have you used in production in the last 6 months?_13,3D Chart,All
Which of these charts have you used in production in the last 6 months?_14,VR/AR Chart,All
Which of these charts have you used in production in the last 6 months?_15,Bee Swarm Chart,All
Which of these charts have you used in production in the last 6 months?_16,Force-Directed Graph,All
Which of these charts have you used in production in the last 6 months?_17,Other: Donut Chart,All
What is the general level data literacy in the audience you produce visualizations for?,Low,All
What is the general level data literacy in the audience you produce visualizations for?_1,Moderate,All
What is the general level data literacy in the audience you produce visualizations for?_2,Expert,All
What is your yearly pay (converted to US dollars)?,"Categorical, values as string",All
What is your hourly rate (converted to US dollars)?,"Categorical, values as string",All
"Do you have access to professional development funds or grants to pay for professional costs such as conference registrations, memberships, software and/or training?",y/n,All
How much is your annual professional development fund in US dollars?,numeric,All
Which of the following would you be likely to use professional development funds on?,Conference registration,All
Which of the following would you be likely to use professional development funds on?_1,Conference travel and lodging,All
Which of the following would you be likely to use professional development funds on?_2,Data visualization software licenses,All
Which of the following would you be likely to use professional development funds on?_3,Workshops or training seminars,All
Which of the following would you be likely to use professional development funds on?_4,Professional association memberships,All
Which of the following would you be likely to use professional development funds on?_5,Professional books,All
Which of the following would you be likely to use professional development funds on?_6,Tuition for graduate coursework,All
Which of the following would you be likely to use professional development funds on?_7,Data licensing,All
Which of the following would you be likely to use professional development funds on?_8,"Other, free text",All
I have adequate resources to explore the data visualization options I want to use.,"disagree-agree, 7 point scale",All
What are your biggest frustrations with doing data visualization in your job?,Lack of time,All
What are your biggest frustrations with doing data visualization in your job?_1,Lack of design expertise,All
What are your biggest frustrations with doing data visualization in your job?_2,Lack of technical skill,All
What are your biggest frustrations with doing data visualization in your job?_3,Learning new tools/Approaches,All
What are your biggest frustrations with doing data visualization in your job?_4,Accessing data,All
What are your biggest frustrations with doing data visualization in your job?_5,Information overload,All
What are your biggest frustrations with doing data visualization in your job?_6,Lack of Collaboration/Mentorship/Advice,All
What are your biggest frustrations with doing data visualization in your job?_7,Low Data Literacy Among Stakeholders/Audience,All
What are your biggest frustrations with doing data visualization in your job?_8,Not enough respect for data visualization among leadership/audience,All
What are your biggest frustrations with doing data visualization in your job?_9,Technical limitations of the tools,All
What are your biggest frustrations with doing data visualization in your job?_10,Too much effort spent on non-viz activity,All
What are your biggest frustrations with doing data visualization in your job?_11,Data volume,All
What are your biggest frustrations with doing data visualization in your job?_12,"Other, free text",All
If you could change one thing about your data visualization work what would it be?,More Training/ more skills,All
What do you think other people in your organization just don't get about the data visualization work that you do?,Free text field,All
Have you changed employment or had a change in employment status in the last year?,y/n,All
Was the current coronavirus pandemic and related economic crisis a factor in your change in employment or employment status?,y/n,All
Are you currently looking for new employment opportunities?,y/n,All
"In your next role, would you like:","Categorical, values as string",All
What are the three most important issues facing data visualization?,Lack of awareness of the impact of data viz,All
What are the three most important issues facing data visualization?_1,Data visualization not having a eat at the table,All
What are the three most important issues facing data visualization?_2,Diversity in tech,All
What are the three most important issues facing data visualization?_3,Income inequality,All
What are the three most important issues facing data visualization?_4,Lack of data visualization literacy,All
What are the three most important issues facing data visualization?_5,Designing for disabilities,All
What are the three most important issues facing data visualization?_6,Lack of access to education,All
What are the three most important issues facing data visualization?_7,Algorithmic bias,All
What are the three most important issues facing data visualization?_8,Lack of ethical standards for visualizing data,All
What are the three most important issues facing data visualization?_9,Lack of software literacy,All
What area is your next priority for improving your data visualization skills?,Learning a new technical tool or library,All
What area is your next priority for improving your data visualization skills?_1,Improving my skills with an existing technical tool or library,All
What area is your next priority for improving your data visualization skills?_2,Improving my design skills,All
What area is your next priority for improving your data visualization skills?_3,Improving my data skills,All
What area is your next priority for improving your data visualization skills?_4,I don't feel I need to improve my data visualization skills currently,All
What area is your next priority for improving your data visualization skills?_5,"Other, free text",All
What methods do you find most helpful in learning new data visualization skills?,Books,All
What methods do you find most helpful in learning new data visualization skills?_1,Workshops,All
What methods do you find most helpful in learning new data visualization skills?_2,Examples,All
What methods do you find most helpful in learning new data visualization skills?_3,Video Tutorials,All
What methods do you find most helpful in learning new data visualization skills?_4,Collaboration with more skilled practitioners,All
What methods do you find most helpful in learning new data visualization skills?_5,Working through a project,All
What methods do you find most helpful in learning new data visualization skills?_6,Mentoring/Teaching others,All
What methods do you find most helpful in learning new data visualization skills?_7,"Other, free text",All
Who do you look to as a leader in data visualization?,Free text field,All
gender_collapsed,"Categorical, values as string",All


EVENT_ID,MENU_HINT,EVENT_NAME,EVENT_DT,SELECTION_ID,SELECTION_NAME,WIN_LOSE,BSP,PPWAP,MORNINGWAP,PPMAX,PPMIN,IPMAX,IPMIN,MORNINGTRADEDVOL,PPTRADEDVOL,IPTRADEDVOL
121659183,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:31,10072489,If I Win Thelotto,0,,7.79077490774907749077490774907749077491,7.79077490774907749077490774907749077491,1,1001,1,1001,5.42,5.42,0
121659185,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:57,10171712,Luck Othe English,0,,1.74939682539682539682539682539682539683,1.74939682539682539682539682539682539683,1,1001,1,1001,163.8,163.8,0
121659187,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 01:30,10072482,Gianna Bella,1,,1.68333333333333333333333333333333333333,1.68333333333333333333333333333333333333,1,1001,1,1001,.36,.36,0
121685019,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:50,10007291,Miss Thursday,0,,3.81147058823529411764705882352941176471,1,1,1001,1,1001,0,13.6,0
121685019,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:50,10233424,Saratoga Smoke,0,,2.37323966130813596760338691864032396613,1,1,1001,1,1001,0,162.98,0
121685019,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:50,10424067,Theresas Candyrose,1,,1.68945375942045919261552842203657182918,1,1.66,1.66,1,1001,0,342.34,0
121685009,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 17:20,10108602,Greek Life,0,,1.4768900877124893270201040130404408911,1,1,1001,1,1001,0,515.32,0
121685013,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 18:20,10081096,Natalie Victoria,0,,2.72295064753237661883094154707735386769,1,1,1001,1,1001,0,114.28,0
121685017,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:20,10005355,Best Play,0,,3.79376787416587225929456625357483317445,1,1,1001,1,1001,0,83.92,0
121685021,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:20,5791120,Acapella,0,,1.31767209703118394953337885734725067473,1,1.4,1.23,1,1001,0,3075.3,0
121685021,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:20,10454960,Shift Change,0,,5.91820877817319098457888493475682087782,1,1,1001,1,1001,0,33.72,0
121685021,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:20,10497598,Ditch Em,0,,6.4,1,1,1001,1,1001,0,7.3,0
121685025,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 21:20,10454953,Grey En Blue,0,,12.7622950819672131147540983606557377049,1,1,1001,1,1001,0,21.96,0
121685025,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 21:20,10205454,Eloquent Ethel,0,,9.53071297989031078610603290676416819013,1,1,1001,1,1001,0,43.76,0
121685025,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 21:20,10268136,Eloweasel,1,,2.63385870732231050032209576980888984325,1,1,1001,1,1001,0,93.14,0
121685030,USA / DeltaD (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10116231,Line Running Lass,0,,3.00733530717986676535899333826794966691,1,1,1001,1,1001,0,108.08,0
121685030,USA / DeltaD (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10497618,Dovish,0,,5.13314606741573033707865168539325842697,1,1,1001,1,1001,0,10.68,0
121685069,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 17:15,10080817,Chasing Blue,1,,1.74038865311592584319857047129774402502,1,1,1001,1,1001,0,89.54,0
121685075,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 18:36,10154444,Officer Mahaffy,1,,1.88131235097758702908917501192179303767,1,1,1001,1,1001,0,209.7,0
121685079,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:30,10078018,Amandas Storm,0,,3.01863192182410423452768729641693811075,1,1,1001,1,1001,0,12.28,0
121685081,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:57,10084178,Wise Awake,1,,2.48591922005571030640668523676880222841,1,1,1001,1,1001,0,86.16,0
121685083,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 20:24,9924301,Pioneer Of Wifi,0,,4,1,1,1001,1,1001,0,22.58,0
121685083,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 20:24,9978498,Yakov,1,,1.36509891271519178495922681969193597101,1,1,1001,1,1001,0,529.76,0
121685083,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 20:24,10072834,Worbothor,0,,1.64659435736677115987460815047021943574,1,1,1001,1,1001,0,319,0
121685092,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:54,10175526,King Minos,0,,1.63319717449527777342709915892680940373,1,1.63,1.63,1,1001,0,1276.94,0
121685088,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:00,10268342,Talkaholic,1,,3.83685882886972310485701316386745347254,1,1,1001,1,1001,0,44.06,0
121685088,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:00,10497832,So Saucy,0,,1.62011335794503386880411525371115619561,1,1.63,1.58,1,1001,0,3608.04,0
121685090,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:27,10497834,Bucanero,0,,9.99156406748746010031919744642042863657,1,1,1001,1,1001,0,43.86,0
121685103,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:00,10066887,Leombruno,0,,2.25551885907299680990805029086132482642,1,1,1001,1,1001,0,106.58,0
121685103,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:00,10084125,Mr Grumpy,1,,4.6,1,1,1001,1,1001,0,8,0
121685107,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:55,10409232,Runaway Pepper,1,,1.32786069239688587046546297830048037105,1,1,1001,1,1001,0,241.48,0
121685109,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:24,10228251,Best Barter,0,,2.52760951188986232790988735919899874844,1,1,1001,1,1001,0,15.98,0
121685109,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:24,10497844,Lady Forester,0,,11.875,1,1,1001,1,1001,0,26.4,0
121685117,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:26,10103633,Sparkles Girl,1,,1.20294557475109204675140687104010074377,1,1,1001,1,1001,0,508.22,0
121685117,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:26,10159975,Generous Touch,0,,2.5107097232079488999290276792051100071,1,1,1001,1,1001,0,112.72,0
121685127,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 20:40,9991005,Schindlers Risk,0,,9.2,1,9.2,9.2,1,1001,0,457.38,0
121685131,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:40,10059476,All American Man,1,,4.64942801339285714285714285714285714286,1,1,1001,1,1001,0,71.68,0
121685131,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:40,10106394,Road Hills,0,,13.717701641684511063526052819414703783,1,1,1001,1,1001,0,28.02,0
121685133,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 22:10,9552081,Smiling Gambler,1,,1.82496475934004514869308324925417552825,1,1.99,1.7,1,1001,0,2755.34,0
121685135,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 22:40,10462430,Temily,0,,3.76582918606517900144485471183175469578,1,1,1001,1,1001,0,124.58,0
121685137,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:10,10119564,Three Tootsies,1,,1.32586307004686306488573257086232168294,1,1.4,1.29,1,1001,0,7750.24,0
121659183,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:31,10088469,Peb Hughes,0,,1.53786763365273585479002491744829123027,1.53786763365273585479002491744829123027,1.59,1.58,1,1001,987.26,987.26,0
121659195,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 03:25,6345811,Risk It,1,,1.4,1.4,1,1001,1,1001,13.14,13.14,0
121659181,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:05,10097424,Gomedaldee,0,,3.17232250300842358604091456077015643803,3.17232250300842358604091456077015643803,1,1001,1,1001,66.48,66.48,0
121659185,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:57,10493328,King Lufty,0,,5,5,1,1001,1,1001,6,6,0
121659187,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 01:30,10134115,Way Ahead Of You,1,,2.19813953488372093023255813953488372093,2.19813953488372093023255813953488372093,1,1001,1,1001,11.18,11.18,0
121659187,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 01:30,10201062,Tribal Heat,0,,2.12189054726368159203980099502487562189,2.12189054726368159203980099502487562189,1,1001,1,1001,4.02,4.02,0
121659189,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 01:56,10228174,Templars Cross,1,,2.62074614760746147607461476074614760746,2.62074614760746147607461476074614760746,1,1001,1,1001,24.66,24.66,0
121659191,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 02:21,10119620,Tuftikus,1,,7.69038095238095238095238095238095238095,7.69038095238095238095238095238095238095,1,1001,1,1001,42,42,0
121659193,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 02:57,10134724,Long Kiss Goodbye,0,,2.08,2.08,1,1001,1,1001,35.28,35.28,0
121685019,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:50,10092631,Arctic Ocean,0,,3.5802495543672014260249554367201426025,1,1,1001,1,1001,0,44.88,0
121685011,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 17:50,10138027,Lilikoi,1,,1.86264687969466888627228064476836249949,1,1,1001,1,1001,0,492.58,0
121685011,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 17:50,10449625,Sachopia,0,,8,1,1,1001,1,1001,0,7.72,0
121685011,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 17:50,10497594,Beating Heart Baby,1,,1.25113988480600080367906416037862213689,1,1,1001,1,1001,0,447.94,0
121685013,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 18:20,10078296,Theophilia,1,,1.52948877570269760422561780796076212035,1,1,1001,1,1001,0,212.04,0
121685021,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:20,10160463,Taken By Surprise,1,,2.33801866475233309404163675520459440057,1,1,1001,1,1001,0,55.72,0
121685023,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:50,9546391,Ganador,0,,21.3,1,1,1001,1,1001,0,10,0
121685023,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:50,10005363,Star Of New York,0,,2.35884034582132564841498559077809798271,1,1,1001,1,1001,0,173.5,0
121685025,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 21:20,8406493,Subtle Lady,1,,7.2584,1,1,1001,1,1001,0,10,0
121685025,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 21:20,10268137,Bea Bea,0,,1.61748295190831518440501267449748295191,1,1.66,1.66,1,1001,0,1120.36,0
121685069,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 17:15,10059949,Doublicious,0,,1.82219384413883431565160445317616240995,1,1,1001,1,1001,0,244.32,0
121685077,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:03,10223823,Fingerpainter,1,,4.23733333333333333333333333333333333333,1,1,1001,1,1001,0,30,0
121685081,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:57,9978906,Miss Dragon Lady,0,,6.2,1,1,1001,1,1001,0,7.7,0
121685092,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:54,10497837,Monba Jamba,0,,8.80065789473684210526315789473684210526,1,1,1001,1,1001,0,48.64,0
121685088,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:00,10237872,Special Dividend,1,,1.72590629051010998703676480414823526267,1,1.94,1.63,1,1001,0,2993.08,0
121685090,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:27,5288591,Shazam,1,,1.6190804035360010796949861664079897429,1,1.72,1.72,1,1001,0,1185.52,0
121685090,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:27,10497836,Sully Man,0,,10.5008064516129032258064516129032258065,1,1,1001,1,1001,0,14.88,0
121685107,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:55,1152719,Best Offer,0,,13.0299401197604790419161676646706586826,1,1,1001,1,1001,0,30.06,0
121685109,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:24,9993031,Marcherdowntheally,0,,2.43255118981737686773657996679579413392,1,1,1001,1,1001,0,108.42,0
121685109,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:24,10310113,Timberline,0,,5.87846385542168674698795180722891566265,1,1,1001,1,1001,0,13.28,0
121685109,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:24,10497845,Amies Angel,0,,9.8,1,1,1001,1,1001,0,4,0
121685111,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:57,10108680,The Mink Mile,0,,4.07783952761375477596387634595345606113,1,1,1001,1,1001,0,57.58,0
121685113,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:26,2489789,Red Wings,0,,3.11707278975320212433614495470165573258,1,1,1001,1,1001,0,64.02,0
121685113,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:26,10066909,Coastal Moon,0,,1.93,1,1,1001,1,1001,0,40.54,0
121685115,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:55,10088522,Strawberry Scarlet,0,,1.98662794502617801047120418848167539267,1,1,1001,1,1001,0,122.24,0
121685115,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:55,10088526,Big Brown Brookski,0,,2.35060367454068241469816272965879265092,1,1,1001,1,1001,0,76.2,0
121685119,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:57,10371740,Rob The Cradle,0,,6.31768842012744451768842012744451768842,1,1,1001,1,1001,0,91.02,0
121685131,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:40,9991516,Turbo Pup,0,,15.25,1,1,1001,1,1001,0,8,0
121685137,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:10,10497809,Razamajazil,0,,1.9194471663049552300874605258028044549,1,2.18,1.76,1,1001,0,1538.98,0
121685139,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,9552109,Stanleys Friend,0,,2.06343210586881472957422324510932105869,1,1,1001,1,1001,0,69.52,0
121685129,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:10,10096830,Puntsville,1,,1.17134261555741808209180735393895854358,1,1.22,1.15,1,1001,0,3507.78,0
121685129,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:10,10059452,Distant Mesa,0,,6.3839877123932034174906402995104156667,1,7,7,1,1001,0,208.34,0
121685129,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:10,10096811,Leisurely Renny,0,,5.7278775079197465681098204857444561774,1,1,1001,1,1001,0,18.94,0
121659183,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:31,10493327,Battery Backup,0,,6.8432,6.8432,1,1001,1,1001,70,70,0
121659185,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:57,9991050,May Mays Cat,0,,6.49926547743966421825813221406086044071,6.49926547743966421825813221406086044071,1,1001,1,1001,57.18,57.18,0
121659185,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:57,10096978,Our Boy K C,1,,1.92196008770712481612034749784895500847,1.92196008770712481612034749784895500847,1.89,1.89,1,1001,720.58,720.58,0
121685015,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 18:50,9978533,Violet Road,0,,3.71126760563380281690140845070422535211,1,1,1001,1,1001,0,28.4,0
121685015,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 18:50,10119920,Belpiana,0,,3.53082262210796915167095115681233933162,1,1,1001,1,1001,0,38.9,0
121685015,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 18:50,10382139,One More Song,0,,12.7365106721463608643775686066551769853,1,13.5,12,1,1001,0,150.86,0
121685009,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 17:20,10137930,Da Wildcat Girl,1,,2.99277401894451962110960757780784844384,1,1,1001,1,1001,0,29.56,0
121685011,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 17:50,9550383,Paw Annie,0,,3.00832020575470181642822697315544124739,1,1,1001,1,1001,0,124.42,0
121685013,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 18:20,9969395,Guayana,0,,2.90878125,1,1,1001,1,1001,0,25.6,0
121685013,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 18:20,10097173,Uncle Southern,0,,4.5,1,1,1001,1,1001,0,4,0
121685025,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 21:20,10366920,Peters Valentine,0,,13.9962488967343336275375110326566637246,1,15,15,1,1001,0,45.32,0
121685025,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 21:20,5669542,Ladys First,1,,1.81796572972060437241495737317464336963,1,1,1001,1,1001,0,236.94,0
121685030,USA / DeltaD (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10497620,Unjust Verdict,0,,6.30157728706624605678233438485804416404,1,1,1001,1,1001,0,12.68,0
121685071,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 17:42,10078146,Im A Good Looker,1,,1.35144395096820039083318529046011724996,1,1.34,1.34,1,1001,0,562.9,0
121685071,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 17:42,10244080,Beautiful Risk,1,,1.51446608174620158356516156644553819816,1,1,1001,1,1001,0,280.38,0
121685073,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 18:09,9556503,Brooklyn Red,0,,7,1,1,1001,1,1001,0,2,0
121685073,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 18:09,9924309,Bob E,0,,2.71586991869918699186991869918699186992,1,1,1001,1,1001,0,147.6,0
121685075,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 18:36,10108297,Sals Dream,0,,2.72196666666666666666666666666666666667,1,1,1001,1,1001,0,24,0
121685077,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:03,10201229,Crazy Love,1,,1.79629798641237619710239829745436686584,1,1,1001,1,1001,0,977.36,0
121685077,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:03,10320053,Roaring Vixen,0,,13.0797546012269938650306748466257668712,1,1,1001,1,1001,0,16.3,0
121685077,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:03,10320054,Pachamama,0,,2.560627371616493802175562863647862383,1,1,1001,1,1001,0,79.06,0
121685077,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:03,10416015,Meckes Madalyn,1,,1.81561863656485170429393536963258078796,1,1,1001,1,1001,0,180.72,0
121685081,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:57,10028603,Resisting Arrest,0,,4.72222222222222222222222222222222222222,1,4.7,4.7,1,1001,0,108,0
121685083,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 20:24,10039983,Hammerhead,0,,13,1,1,1001,1,1001,0,7.7,0
121685085,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 20:51,2372198,Group Therapy,1,,1.52321968377794803928397297485547119872,1,1,1001,1,1001,0,574.28,0
121685085,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 20:51,10072852,Berkshire Hills,1,,1.1720742494639027877055039313795568263,1,1.21,1.21,1,1001,0,1343.04,0
121685092,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:54,10243899,Grantson,1,,3.30370060281312793034159410582719356999,1,1,1001,1,1001,0,59.72,0
121685088,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:00,10237869,Desert Jewel,0,,4.61109984152139461172741679873217115689,1,1,1001,1,1001,0,126.2,0
121685090,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:27,10111832,Durendal,1,,1.96280169100691775557263643351268255188,1,1,1001,1,1001,0,104.08,0
121685090,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:27,10163500,Osip,0,,5.56792452830188679245283018867924528302,1,1,1001,1,1001,0,7.42,0
121685103,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:00,10077558,Data Based,0,,4.06258187772925764192139737991266375546,1,1,1001,1,1001,0,36.64,0
121685105,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:27,10072228,Sugah Sweet,0,,2.34586808745177291934594892522505970972,1,1,1001,1,1001,0,108.86,0
121685105,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:27,10078457,Awfully Sinful,1,,1.39451585394216605938444840685324443755,1,1,1001,1,1001,0,515.96,0
121685109,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:24,9969642,Molinaro Deputy,0,,5.52908863920099875156054931335830212235,1,1,1001,1,1001,0,16.02,0
121685111,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:57,10262942,Kates Whistle,0,,1.57777853725222146274777853725222146275,1,1,1001,1,1001,0,29.26,0
121685111,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:57,10406613,Madison Way,1,,4.59208103130755064456721915285451197053,1,1,1001,1,1001,0,21.72,0
121685119,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:57,337323,Imperial Dream,1,,1.75596610702218497079546347468503627649,1,1.71,1.71,1,1001,0,2290.74,0
121685125,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 20:10,10018346,Donnas Fly Girl,0,,5.11747627024008933556672250139586823004,1,1,1001,1,1001,0,35.82,0
121685131,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:40,10005176,Running On Ethel,0,,4.61722053202277868788517045011311334737,1,5,5,1,1001,0,256.38,0
121685131,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:40,10059417,Jimmy By A Nose,0,,14.66,1,1,1001,1,1001,0,8,0
121685135,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 22:40,9992756,Daddys Baby Girl,1,,7.15856353591160220994475138121546961326,1,1,1001,1,1001,0,54.3,0
121685137,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:10,10072107,Kissn Rosie,0,,5.53959076849869141089697834879847727813,1,1,1001,1,1001,0,84.06,0
121685137,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:10,10096829,Agile Wonder,0,,5.65715617715617715617715617715617715618,1,1,1001,1,1001,0,8.58,0
121685137,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:10,10248970,Best Kiss Yet,0,,3.57422861482958321465869173075097313206,1,1,1001,1,1001,0,210.66,0
121685139,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10149942,Sacred Range,0,,3.94025375858173285826018944990006083254,1,1,1001,1,1001,0,230.14,0
121685129,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:10,10096810,Keeker,0,,5.21129871202113606340819022457067371202,1,6,5.7,1,1001,0,242.24,0
121659183,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:31,3439343,Island Sunset,1,,1.69492818439838307387976262148447578911,1.69492818439838307387976262148447578911,1,1001,1,1001,232.54,232.54,0
121659183,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:31,8223556,Bomber,1,,2.92989507620164126611957796014067995311,2.92989507620164126611957796014067995311,2.96,2.96,1,1001,682.4,682.4,0
121659181,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:05,10072433,Sidebysidedelcoco,1,,2.30531835205992509363295880149812734082,2.30531835205992509363295880149812734082,1,1001,1,1001,53.4,53.4,0
121659185,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:57,10059590,Buddys Greenstone,0,,6.25044344173020071573051190290960012447,6.25044344173020071573051190290960012447,1,1001,1,1001,128.54,128.54,0
121659189,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 01:56,10362860,Winsome Gold,0,,2.70442942050520059435364041604754829123,2.70442942050520059435364041604754829123,1,1001,1,1001,134.6,134.6,0
121659189,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 01:56,10493329,Castle Bound,1,,1.49521304153640017865118356409111210362,1.49521304153640017865118356409111210362,1,1001,1,1001,223.9,223.9,0
121659191,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 02:21,10175354,Like A Diva,0,,4.6,4.6,1,1001,1,1001,6,6,0
121685015,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 18:50,413988,Break Away,0,,2.14119440768655428341292215637765375985,1,1,1001,1,1001,0,347.62,0
121685015,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 18:50,9546385,Mattys Wondergirl,1,,2.92163265306122448979591836734693877551,1,1,1001,1,1001,0,19.6,0
121685013,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 18:20,10103336,Sustainable,1,,1.99054249547920433996383363471971066908,1,1,1001,1,1001,0,110.6,0
121685021,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:20,10497599,Super Allison,0,,1.96549102428722280887011615628299894403,1,1,1001,1,1001,0,56.82,0
121685023,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:50,5826524,Chapman,0,,3.85,1,1,1001,1,1001,0,3.52,0
121685069,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 17:15,9556493,Malibu Ice,0,,1.56576230492196878751500600240096038415,1,1,1001,1,1001,0,183.26,0
121685069,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 17:15,10059762,Zongs Song,1,,3.45,1,1,1001,1,1001,0,7.7,0
121685073,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 18:09,10165592,Bulldog On A Bone,1,,1.57245228846478635365647694646174632663,1,1,1001,1,1001,0,355.26,0
121685073,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 18:09,10429308,Term Loan,1,,1.52614102318451810691703391454301590343,1,1,1001,1,1001,0,313.14,0
121685075,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 18:36,9990867,Bustin Buttons,0,,3.9,1,1,1001,1,1001,0,10,0
121685079,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:30,2489760,Me Me Me,0,,2.7069296875,1,1,1001,1,1001,0,51.2,0
121685079,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:30,10449633,Sunny Osullivan,0,,3,1,1,1001,1,1001,0,5.3,0
121685079,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:30,10497799,Frosty Millions,1,,2.20637181900008182636445462728090990917,1,1,1001,1,1001,0,244.42,0
121685085,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 20:51,10006128,Sweet Hot Toddy,0,,4.68391587677725118483412322274881516588,1,1,1001,1,1001,0,67.52,0
121685092,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:54,10116044,Danny My Boy,0,,1.61294465474841811500096709126578431102,1,1,1001,1,1001,0,723.82,0
121685092,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:54,10300959,Joes Arch,0,,6.67327327327327327327327327327327327327,1,1,1001,1,1001,0,6.66,0
121685092,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:54,10384387,Willful Warrior,0,,9.67923627684964200477326968973747016706,1,1,1001,1,1001,0,8.38,0
121685090,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:27,10336520,Dont Be Coy,0,,3.65848765432098765432098765432098765432,1,1,1001,1,1001,0,90.72,0
121685107,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:55,10074290,Bathsheba Station,0,,2.7711196267910696434521826057980673109,1,2.66,2.66,1,1001,0,300.1,0
121685105,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:27,159493,Believe You Me,0,,8.39525065963060686015831134564643799472,1,1,1001,1,1001,0,7.58,0
121685105,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:27,10103635,Its The Rush,1,,1.88321940572449030209831836896671461878,1,1,1001,1,1001,0,403.18,0
121685109,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:24,10078506,Gold To Glory,1,,1.7076431553034357272824574547789789147,1,1,1001,1,1001,0,186.86,0
121685111,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:57,10186057,La Soul,0,,1.61730730296456977584960231381055676067,1,1,1001,1,1001,0,138.3,0
121685111,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:57,10455183,Alices War,0,,3.17590959206174200661521499448732083793,1,1,1001,1,1001,0,90.7,0
121685119,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:57,2627678,Sundowner,1,,2.47223959870168191206845677190911773384,1,1,1001,1,1001,0,135.56,0
121685119,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:57,10066891,Ezzthetic,0,,2.25562033280413947198212500734991474099,1,2.2,2.2,1,1001,0,1360.56,0
121685119,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:57,10084105,Saratoga Boy,0,,10.2987584345479082321187584345479082321,1,10.5,10.5,1,1001,0,74.1,0
121685127,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 20:40,10248961,Ogees Ekati,0,,2.939462734801050292870127247020803878,1,1,1001,1,1001,0,297.06,0
121685131,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:40,10237753,Clearly See,0,,2.00423926837620611163708881413290897005,1,2,1.96,1,1001,0,992.86,0
121685131,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:40,10398157,Handsome Sean,0,,5.44019008825526137135098438560760353021,1,1,1001,1,1001,0,58.92,0
121685135,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 22:40,10106377,Francis Leal,0,,48,1,1,1001,1,1001,0,4,0
121685137,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:10,10005195,Realta Ean,1,,13.6219931271477663230240549828178694158,1,1,1001,1,1001,0,5.82,0
121685139,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10066289,Ask Simon,1,,1.45351348976184198963002021267246682485,1,1.43,1.43,1,1001,0,2275.8,0
121685129,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:10,9552076,Canette,1,,1.84650829694323144104803493449781659389,1,1,1001,1,1001,0,229,0
121659183,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:31,9992180,Corporate Measure,1,,2.2788,2.2788,1,1001,1,1001,100,100,0
121659181,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:05,10073405,Enduring,1,,2.80077607241243604879968516332152695789,2.80077607241243604879968516332152695789,2.8,2.8,1,1001,254.1,254.1,0
121659185,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:57,10077899,Sterlings Mr. Abel,0,,1.30780845984432003496914981254518249525,1.30780845984432003496914981254518249525,1.35,1.27,1,1001,2379.24,2379.24,0
121659191,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 02:21,10084427,Athena In Flight,0,,2.46,2.46,1,1001,1,1001,108,108,0
121659191,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 02:21,10119859,Doubleblackdiamond,0,,2.54,2.54,1,1001,1,1001,11.44,11.44,0
121685015,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 18:50,451103,Tante Zoe,0,,2.00459330599790216458472394393058071899,1,1,1001,1,1001,0,209.74,0
121685019,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:50,9990862,Lifes A Stage,0,,3.10568157269388636854612227262907755455,1,1,1001,1,1001,0,92.58,0
121685019,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:50,10066492,Funky Munky Fever,0,,12.5923648648648648648648648648648648649,1,1,1001,1,1001,0,11.84,0
121685011,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 17:50,9552208,Lil Renegade,0,,2.62577874422397390595270453927697743952,1,1,1001,1,1001,0,73.58,0
121685017,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:20,15059,Charitable,0,,6.2,1,1,1001,1,1001,0,.56,0
121685017,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:20,5479465,First Bid,0,,2.09590511860174781523096129837702871411,1,1,1001,1,1001,0,32.04,0
121685017,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:20,10103110,Cosmic Coincidence,1,,1.40867622140638237785936176221406382378,1,1,1001,1,1001,0,283.28,0
121685021,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:20,266930,Rock Garden,1,,2.68397093881257804518106482007038256329,1,1,1001,1,1001,0,176.18,0
121685023,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:50,10180610,Bug Juice,0,,2.28625415834996673320026613439787092482,1,1,1001,1,1001,0,150.3,0
121685030,USA / DeltaD (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10097413,Emma Peele,1,,1.43538434507599051216726697707107089519,1,1,1001,1,1001,0,682.98,0
121685071,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 17:42,9978898,Coweta,0,,4.34532279314888010540184453227931488801,1,1,1001,1,1001,0,15.18,0
121685073,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 18:09,10119759,Indy Tune,0,,1.17896746817538896746817538896746817539,1,1,1001,1,1001,0,593.88,0
121685081,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:57,10084058,Stormin Margaret,0,,3.82785714285714285714285714285714285714,1,1,1001,1,1001,0,14,0
121685081,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:57,10205282,Just Like Boo,0,,13.25,1,1,1001,1,1001,0,8,0
121685083,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 20:24,10119896,Louies Luck,1,,3.04641499472016895459345300950369588173,1,1,1001,1,1001,0,75.76,0
121685088,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:00,10497833,So Striking,0,,3.46323728050427735254389914452949122017,1,1,1001,1,1001,0,44.42,0
121685090,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:27,10185454,Imtoohottohandle,0,,1.71039345578640971594901134196527150457,1,1.7,1.67,1,1001,0,1793.34,0
121685090,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:27,10497835,Shake D Bone,1,,1.73082534278959810874704491725768321513,1,1.68,1.64,1,1001,0,1057.5,0
121685107,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:55,10159961,Trader Dom,0,,4.71936936936936936936936936936936936937,1,1,1001,1,1001,0,22.2,0
121685109,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:24,9158205,Princess Royal,1,,1.60219423751527334358125418785227227937,1,1,1001,1,1001,0,507.42,0
121685109,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:24,10135261,Black Ace On Top,0,,23,1,23,23,1,1001,0,12.94,0
121685109,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:24,10325095,Deputy Wanda,0,,21,1,1,1001,1,1001,0,4,0
121685113,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:26,10155027,Brewcrest,1,,4.14877740303541315345699831365935919056,1,1,1001,1,1001,0,23.72,0
121685115,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:55,10051379,Rejoiceful,0,,3.15,1,1,1001,1,1001,0,8,0
121685115,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:55,10051381,Generous Consort,0,,2.24,1,1,1001,1,1001,0,28.58,0
121685115,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:55,10060005,Holy Heartly,0,,3.4,1,1,1001,1,1001,0,16,0
121685119,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:57,6543920,Red Shot,0,,8.51986301369863013698630136986301369863,1,1,1001,1,1001,0,35.04,0
121685119,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:57,10088517,Ruvee,0,,7.06314769975786924939467312348668280872,1,1,1001,1,1001,0,82.6,0
121685117,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:26,10292332,Frosty Vixen,0,,2.9735218508997429305912596401028277635,1,1,1001,1,1001,0,23.34,0
121685125,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 20:10,9990749,Dani Nikki,1,,2.54257648953301127214170692431561996779,1,1,1001,1,1001,0,161.46,0
121685131,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:40,10040026,Thisbabysaruler,1,,1.30869174074672700824309035073541296266,1,1.39,1.23,1,1001,0,6187,0
121685131,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:40,10096927,Kon Rasy,0,,9.21260387811634349030470914127423822715,1,1,1001,1,1001,0,28.88,0
121685131,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:40,10106387,Kennedys Cadet,0,,3.5243565932608118864420270628814009021,1,1,1001,1,1001,0,75.38,0
121685135,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 22:40,10065332,Kodiaks Pride,1,,1.46663733145855826449393627438672257514,1,1.5,1.45,1,1001,0,3186.16,0
121685135,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 22:40,9552099,Lilly Kisses,0,,11.3121783876500857632933104631217838765,1,1,1001,1,1001,0,23.32,0
121685135,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 22:40,9990747,Praise The Kitten,0,,2.30800501357844161270106538541884269898,1,1,1001,1,1001,0,287.22,0
121685137,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:10,10102676,Devil Alert,0,,8,1,1,1001,1,1001,0,30,0
121685139,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10072098,Bank Account,1,,1.77215243061268398871071848936250996671,1,1.8,1.79,1,1001,0,1580.26,0
121685139,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10084194,Even Fever,1,,1.99959302325581395348837209302325581395,1,1,1001,1,1001,0,20.64,0
121685129,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:10,9552074,Karla With A K,1,,1.57547075927912798743605293029186297834,1,1.56,1.56,1,1001,0,1286.22,0
121659181,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:05,9978671,San Gennaro,1,,1.26953380197036611179345127655682441791,1.26953380197036611179345127655682441791,1.33,1.33,1,1001,765.34,765.34,0
121659185,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:57,10258828,Sandsfoot Castle,1,,2.47993801023000575861251312624911080248,2.47993801023000575861251312624911080248,3.05,2.16,1,1001,590.42,590.42,0
121659187,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 01:30,233564,Glory Girl,0,,2.13760831889081455805892547660311958406,2.13760831889081455805892547660311958406,1,1001,1,1001,23.08,23.08,0
121659187,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 01:30,10445505,Shes So Carolina,0,,3.25669821623589370222060429559519475792,3.25669821623589370222060429559519475792,1,1001,1,1001,54.94,54.94,0
121659187,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 01:30,10445512,T Rex Express,0,,1.61396413199426111908177905308464849354,1.61396413199426111908177905308464849354,1.67,1.52,1,1001,557.6,557.6,0
121659191,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 02:21,9978629,Tsunami Rising,0,,3.9,3.9,1,1001,1,1001,4.7,4.7,0
121659191,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 02:21,10149968,Canaryinacoalmine,1,,1.80391761058026956906916408276909447573,1.80391761058026956906916408276909447573,1.71,1.71,1,1001,316.06,316.06,0
121685015,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 18:50,10119921,Written In Stars,0,,5.3,1,1,1001,1,1001,0,6,0
121685015,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 18:50,10497596,Tybalts Queen,1,,2.29005412875734193251180467580329379247,1,1,1001,1,1001,0,347.32,0
121685019,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:50,10066499,Race And Shine,1,,4.77,1,1,1001,1,1001,0,4,0
121685009,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 17:20,10424061,My Donna Jean,0,,2.99344403916298713764638126319831061624,1,1,1001,1,1001,0,104.18,0
121685017,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:20,10124406,Mach Seven,1,,2.28861042774382985477343068010475359098,1,1,1001,1,1001,0,252.02,0
121685017,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:20,10138013,In The Beat,0,,9.25861152141802067946824224519940915805,1,9,9,1,1001,0,67.7,0
121685023,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:50,10103490,Pegasus Red,0,,4.56624203821656050955414012738853503185,1,1,1001,1,1001,0,15.7,0
121685025,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 21:20,10268138,Allys Envy,0,,1.88420674825796646888590690831487559213,1,1.93,1.8,1,1001,0,2474.12,0
121685030,USA / DeltaD (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10497619,Political Prophet,1,,1.74009669352597943873298138371769936093,1,1,1001,1,1001,0,359.9,0
121685077,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:03,10223821,Dosage And Mimosas,0,,2.73626470588235294117647058823529411765,1,1,1001,1,1001,0,27.2,0
121685077,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:03,10384346,Girlslovechocolate,0,,3.89454449152542372881355932203389830508,1,1,1001,1,1001,0,37.76,0
121685085,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 20:51,10028605,Three Bet,0,,9.8,1,1,1001,1,1001,0,6.4,0
121685085,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 20:51,10111721,Alternative Meds,0,,5.19721695129664769133459835547122074636,1,1,1001,1,1001,0,31.62,0
121685107,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:55,10007649,Dupes,0,,1.53653058409764843803875594786566443694,1,1,1001,1,1001,0,290.02,0
121685105,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:27,10077562,Runaway Brenda,0,,4.7,1,1,1001,1,1001,0,8,0
121685113,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:26,2528052,Luck Seeker,1,,1.74,1,1,1001,1,1001,0,.2,0
121685113,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:26,10077587,Lumber Man,1,,4.8,1,1,1001,1,1001,0,10,0
121685119,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:57,2486873,Tevez,0,,2.05779040575383362735785045460713801058,1,1,1001,1,1001,0,589.52,0
121685119,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:57,10163815,Chilkoot Pass,0,,10.1714285714285714285714285714285714286,1,1,1001,1,1001,0,14,0
121685125,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 20:10,10119658,Wonder Country,0,,21.8707964601769911504424778761061946903,1,1,1001,1,1001,0,22.6,0
121685131,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:40,10106398,Jais Michael,1,,1.42977700729927007299270072992700729927,1,1,1001,1,1001,0,548,0
121685131,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:40,10149935,A Big A Bad Bill,0,,13.91,1,1,1001,1,1001,0,8,0
121685133,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 22:10,10092580,Awalkinthemoonlite,1,,1.06635177295978968373374720871672236036,1,1.11,1.05,1,1001,0,15154.32,0
121685135,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 22:40,10106506,Legend In Time,1,,2.08576035177720776841333821912788567241,1,2.16,2.16,1,1001,0,709.54,0
121685139,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,5418544,Exactness,0,,7.46625409537677466326902074990899162723,1,1,1001,1,1001,0,54.94,0
121685139,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10412607,Dollar Doblado,0,,3.70021428571428571428571428571428571429,1,1,1001,1,1001,0,28,0
121659195,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 03:25,9991102,Beil Beil,0,,7.19915966386554621848739495798319327731,7.19915966386554621848739495798319327731,1,1001,1,1001,23.8,23.8,0
121659181,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:05,10080782,Skestos,0,,2.18761881188118811881188118811881188119,2.18761881188118811881188118811881188119,1,1001,1,1001,80.8,80.8,0
121659185,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:57,9991104,Glens Castle,0,,7.94435075885328836424957841483979763912,7.94435075885328836424957841483979763912,1,1001,1,1001,11.86,11.86,0
121659191,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 02:21,10175353,Untamed Dixie,1,,1.48110932762618155876582842874977706438,1.48110932762618155876582842874977706438,1,1001,1,1001,448.56,448.56,0
121685019,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:50,9978438,Shakesperian Dream,0,,2.0414418066010422698320787492762015055,1,1,1001,1,1001,0,172.7,0
121685009,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 17:20,10119907,Colonel Juanita,1,,1.79453146097758574129084526059951390764,1,1,1001,1,1001,0,148.12,0
121685023,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:50,10078342,Joe Mooch,1,,3.15477333333333333333333333333333333333,1,1,1001,1,1001,0,30,0
121685025,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 21:20,10409171,Ragazza Di Papa,0,,1.66967031916546178020481078303679185537,1,1.67,1.67,1,1001,0,1673.74,0
121685025,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 21:20,10310047,Tiffanys Freud,0,,12.0110497237569060773480662983425414365,1,1,1001,1,1001,0,10.86,0
121685030,USA / DeltaD (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10088179,Miss Jar,0,,3.52686635944700460829493087557603686636,1,1,1001,1,1001,0,8.68,0
121685030,USA / DeltaD (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10424082,Monnie Mae,1,,10.5635984848484848484848484848484848485,1,1,1001,1,1001,0,31.68,0
121685073,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 18:09,10065687,Straight Thunder,1,,2.74,1,1,1001,1,1001,0,7.7,0
121685079,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:30,10455000,Benovie,0,,3.73957198443579766536964980544747081712,1,1,1001,1,1001,0,51.4,0
121685081,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:57,10006124,Wisemans Fate,0,,2.6587544910179640718562874251497005988,1,1,1001,1,1001,0,33.4,0
121685083,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 20:24,10124237,Coach Germ,0,,21.2105263157894736842105263157894736842,1,1,1001,1,1001,0,5.32,0
121685092,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:54,10268335,Gurt Boys,1,,1.60238014981273408239700374531835205993,1,1,1001,1,1001,0,106.8,0
121685090,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:27,10415935,El Shaddai,0,,6.79942857142857142857142857142857142857,1,1,1001,1,1001,0,14,0
121685103,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:00,9969647,Sunny Weather,1,,2.9,1,1,1001,1,1001,0,6,0
121685111,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:57,10497846,Niigons Eclipse,1,,9.2,1,1,1001,1,1001,0,4,0
121685113,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:26,4112372,Flattery,0,,2.22972313467855466916940403566400750821,1,1,1001,1,1001,0,42.62,0
121685115,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:55,10039956,Line Of Best Fit,1,,4,1,1,1001,1,1001,0,5.32,0
121685119,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:57,10155020,Arctic Kid,0,,12.6525,1,1,1001,1,1001,0,8,0
121685127,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 20:40,9552130,Griffin The Great,1,,1.79561742481870277397433946954713727877,1,1,1001,1,1001,0,394.38,0
121685127,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 20:40,9552136,Clever Yank,0,,5.98015249537892791127541589648798521257,1,1,1001,1,1001,0,86.56,0
121685127,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 20:40,10096828,Fort Dixie,0,,2.32592979083001255950258167553067774797,1,1,1001,1,1001,0,1289.86,0
121685133,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 22:10,10059490,Its Tamareno,0,,1.47434747524906117128580739269420564228,1,1,1001,1,1001,0,644.42,0
121685135,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 22:40,10441454,Buzzin At Midnight,0,,3.89637076998528690534575772437469347719,1,1,1001,1,1001,0,81.56,0
121685137,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:10,10005193,Heathers Rose,1,,3.3881199369936993699369936993699369937,1,1,1001,1,1001,0,177.76,0
121685137,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:10,9978458,Precious Beth,0,,1.79645266250185928900788338539342555407,1,1.89,1.7,1,1001,0,1075.68,0
121685137,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:10,9990751,Cartiac Arrest,0,,7.53375796178343949044585987261146496815,1,1,1001,1,1001,0,15.7,0
121685139,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10018376,El Chuvasco,0,,3.94406896551724137931034482758620689655,1,1,1001,1,1001,0,29,0
121659183,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:31,10154522,Stormy Acre,0,,1.54201086253717832665201086253717832665,1.54201086253717832665201086253717832665,1,1001,1,1001,309.32,309.32,0
121659185,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:57,10393867,Cielo Medallist,1,,4.65714285714285714285714285714285714286,4.65714285714285714285714285714285714286,1,1001,1,1001,14,14,0
121659191,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 02:21,10106528,Im Still Arockstar,0,,1.88371046813419205998269729885609920215,1.88371046813419205998269729885609920215,1,1001,1,1001,208.06,208.06,0
121685011,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 17:50,10398093,Counter Culture,1,,1.30020215454182737066099215321186327969,1,1,1001,1,1001,0,300.76,0
121685017,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:20,10107267,Summit Moon,0,,3.09517241379310344827586206896551724138,1,1,1001,1,1001,0,58,0
121685017,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:20,10150084,Lifes Reward,1,,1.54301381483276781386330586524478914203,1,1,1001,1,1001,0,165.04,0
121685021,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:20,575545,Pirouette,0,,2.75303558282208588957055214723926380368,1,1,1001,1,1001,0,81.5,0
121685021,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:20,10497597,Absatootly,1,,2.74487804878048780487804878048780487805,1,1,1001,1,1001,0,21.32,0
121685023,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:50,10140173,The Big Deluxe,1,,2.0067656811273832550428295109146172976,1,1,1001,1,1001,0,144.76,0
121685030,USA / DeltaD (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,9992001,Nolas Fireball,0,,2.09064935690543860494243460667662218797,1,1,1001,1,1001,0,415.18,0
121685030,USA / DeltaD (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10497616,El Lizann,0,,13.9463594470046082949308755760368663595,1,1,1001,1,1001,0,8.68,0
121685075,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 18:36,10150163,Reaction Rate,1,,1.47229938450818720241551503890372779004,1,1,1001,1,1001,0,172.22,0
121685075,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 18:36,3847936,Old Mcdonald,0,,4.6,1,1,1001,1,1001,0,5.02,0
121685075,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 18:36,10080833,Crimson Lad,0,,1.68745901639344262295081967213114754098,1,1,1001,1,1001,0,4.88,0
121685077,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:03,10205453,Lady Lucky,0,,1.69892164389170377194329290137673371206,1,1,1001,1,1001,0,390.78,0
121685079,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:30,10284422,One Sweet Dream,1,,1.23723349047984504623031100391038994262,1,1.25,1.25,1,1001,0,547.26,0
121685081,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:57,387280,Golden Fire,1,,1.67780575391092582655714698476905931399,1,1.71,1.71,1,1001,0,484.54,0
121685085,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 20:51,9991409,Patrons Heidi H,0,,3.28732394366197183098591549295774647887,1,1,1001,1,1001,0,31.24,0
121685085,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 20:51,10006122,Mistretta,1,,1.80132263584299483168040229082274060623,1,1.81,1.81,1,1001,0,1145.44,0
121685092,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:54,10102988,Atrox,1,,1.82014180739976795152765244295475054789,1,1.96,1.96,1,1001,0,1085.98,0
121685103,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:00,9969649,Flying Echo,0,,1.39262896551724137931034482758620689655,1,1,1001,1,1001,0,72.5,0
121685103,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:00,9993057,Gtmeoutahereseamus,1,,1.27036281179138321995464852607709750567,1,1,1001,1,1001,0,8.82,0
121685107,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:55,9993007,Bilby Rhode,1,,2.48285610200364298724954462659380692168,1,1,1001,1,1001,0,54.9,0
121685107,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:55,10159992,Destinys Song,1,,1.76483499214248297537977998952331063384,1,1,1001,1,1001,0,190.9,0
121685105,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:27,9929696,Primordia,0,,2.34636,1,1,1001,1,1001,0,40,0
121685105,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:27,9969628,Duppy Conqueror,0,,2.95403969807100922560805143975398378529,1,1,1001,1,1001,0,143.08,0
121685105,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:27,10146760,Mindfulness,1,,1.57895789787996416840848014332636607943,1,1,1001,1,1001,0,66.98,0
121685109,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:24,10135265,Flashy Patch,1,,2.20705744431418522860492379835873388042,1,1,1001,1,1001,0,85.3,0
121685113,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:26,10189339,Bears Personality,0,,1.44963439697133585722011898323418063818,1,1,1001,1,1001,0,554.7,0
121685115,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:55,10409233,Casablanca Kiss,1,,1.35,1,1,1001,1,1001,0,20,0
121685119,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:57,9929680,Masquerade Party,0,,3.29285976729944886711573790569503980404,1,1,1001,1,1001,0,163.3,0
121685119,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:57,10078042,Mr. Honey Badger,1,,2.74216381556587742154752464030814546278,1,1,1001,1,1001,0,176.54,0
121685117,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:26,10406614,Miss Forester,1,,1.83170118090022248844771521478692452507,1,1,1001,1,1001,0,116.86,0
121685125,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 20:10,9978439,Zes T Cat,0,,1.65923646366180870572338577357397934562,1,1.59,1.56,1,1001,0,2072.2,0
121685125,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 20:10,9978443,Sunny Suprise,0,,3.41903998416468725257323832145684877276,1,1,1001,1,1001,0,101.04,0
121685125,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 20:10,9990750,Nikaluk,1,,2.13628245571463237078379034214996360107,1,2.1,2.1,1,1001,0,412.1,0
121685127,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 20:40,9552114,Win D Prado,1,,1.44311187523025911826108313889230013509,1,1,1001,1,1001,0,162.86,0
121685127,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 20:40,10005234,Bandit Man,1,,1.26347004256425252623712512590570880853,1,1.26,1.24,1,1001,0,2462.16,0
121685133,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 22:10,10096922,Zipso Facto,1,,1.09380051571092805147981653469639230541,1,1.13,1.08,1,1001,0,5258.76,0
121685135,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 22:40,10119594,Bennys Babygirl,0,,1.41444509319559847293959128677296204806,1,1.39,1.37,1,1001,0,1781.2,0
121685129,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:10,10143792,Looking For Bits,0,,1.77757652474108170310701956271576524741,1,1,1001,1,1001,0,521.4,0


authors,pub.year,article.title,journal.name,DOI,article.PDF.URL,PDF.views,PDF.downloads,PDF.citations,article.HTML.URL,HTML.views,article.preprint.URL,preprint.views,preprint.downloads,metrics.date,prereg.type,prereg.URL,open.mat.URL,open.data.URL,open.code.URL,rs.type,disclosure.date,article.type,rep.num,original.study,target.effects,commentaries.URLs,abstract.text,keywords,author.contributions,competing.interests,funding.sources,peer.review.editor,peer.reviewers,peer.reviews.URL
"EP LeBel, W Vanpaemel, I Cheung, & L Campbell",in press,A brief guide to evaluate replications,Meta-Psychology,,,,,,,,https://osf.io/paxyn/,,211,"January 17, 2019",,,,,,,,conceptual,,,,,"The importance of replication is becoming increasingly appreciated, however, considerably less consensus exists about how to evaluate the design and results of replications. We make concrete recommendations on how to evaluate replications with more nuance than what is typically done currently in the literature. We highlight six study characteristics that are crucial for evaluating replications: replication method similarity, replication differences, investigator independence, method/data transparency, analytic result reproducibility, and auxiliary hypotheses’ plausibility evidence. We also recommend a more nuanced approach to statistically interpret replication results at the individual-study and meta-analytic levels, and propose clearer language to communicate replication results.",transparency;  reproducibility;  direct replication;  replicability;  evaluating replications,,None to declare.,"European Commission (Marie-Curie grant, Project ID: 793669: EP LeBel, W Vanpaemel)",R Carlsson,MB Nuijten; U Schimmack,https://osf.io/dsn72/
"EP LeBel, R McCarthy, B Earp, M Elson, & W Vanpaemel",2018,A unified framework to quantify the credibility of scientific findings,Advances in Methods and Practices in Psychological Science,10.1177/2515245918787489,"https://etiennelebel.com/documents/lebeletal(2018,ampss)a-unified-framework-to-quantify-the-credibility-of-scientific-findings.pdf",,1033,20,,,https://psyarxiv.com/uwmr8,,1486,"December 15, 2018",,,,,,,,conceptual,,,,,"Societies invest in scientific studies to better understand the world and attempt to harness such improved understanding to address pressing societal problems. Published research, however, can be useful for theory or application only if it is credible. In science, a credible finding is one that has repeatedly survived risky falsification attempts. However, state-of-the-art meta-analytic approaches cannot determine the credibility of an effect because they do not account for the extent to which each included study has survived such attempted falsification. To overcome this problem, we outline a unified framework for estimating the credibility of published research by examining four fundamental falsifiability-related dimensions: (a) transparency of the methods and data, (b) reproducibility of the results when the same data-processing and analytic decisions are reapplied, (c) robustness of the results to different data-processing and analytic decisions, and (d) replicability of the effect. This framework includes a standardized workflow in which the degree to which a finding has survived scrutiny is quantified along these four facets of credibility. The framework is demonstrated by applying it to published replications in the psychology literature. Finally, we outline a Web implementation of the framework and conclude by encouraging the community of researchers to contribute to the development and crowdsourcing of this platform.",research credibility; transparency; open science; analytic reproducibility; analytic robustness; replicability,"E. P. LeBel conceived the general idea, drafted and revised the manuscript, created the figures, and executed the analytic-reproducibility checks and meta-analyses for the application of the framework to the infidelity-distress effect. W. Vanpaemel provided substantial contributions to the conceptual development of the ideas presented. W. Vanpaemel, R. J. McCarthy, B. D. Earp, and M. Elson provided critical commentary and made substantial contributions to writing and revising the manuscript. All authors approved the final submitted version of the manuscript.",None to declare.,Ministry of Culture and Science (Germany: M Elson),S Vazire,"Anonymous reviewer 1, Anonymous reviewer 2",
"EP LeBel, D Berger, L Campbell, & TJ Loving",2017,Falsifiability is not optional,Journal of Personality and Social Psychology,10.1037/pspi0000106,"https://etiennelebel.com/documents/lbcl(2017,jpsp).pdf",,,23,,,https://psyarxiv.com/dv94b/,,1407,"December 17, 2018",,,,,https://osf.io/wp6an/,,,conceptual,,,,,"Finkel, Eastwick, and Reis (2016; FER2016) argued the post-2011 methodological reform movement has focused narrowly on replicability, neglecting other essential goals of research. We agree multiple scientific goals are essential, but argue, however, a more fine-grained language, conceptualization, and approach to replication is needed to accomplish these goals. Replication is the general empirical mechanism for testing and falsifying theory. Sufficiently methodologically similar replications, also known as direct replications, test the basic existence of phenomena and ensure cumulative progress is possible a priori. In contrast, increasingly methodologically dissimilar replications, also known as conceptual replications, test the relevance of auxiliary hypotheses (e.g., manipulation and measurement issues, contextual factors) required to productively investigate validity and generalizability. Without prioritizing replicability, a field is not empirically falsifiable. We also disagree with FER2016’s position that “bigger samples are generally better, but... that very large samples could have the downside of commandeering resources that would have been better invested in other studies” (abstract). We identify problematic assumptions involved in FER2016’s modifications of our original research-economic model, and present an improved model that quantifies when (and whether) it is reasonable to worry that increasing statistical power will engender potential trade-offs. Sufficiently powering studies (i.e., 80%) maximizes both research efficiency and confidence in the literature (research quality). Given that we are in agreement with FER2016 on all key open science points, we are eager to start seeing the accelerated rate of cumulative knowledge development of social psychological phenomena such a sufficiently transparent, powered, and falsifiable approach will generate.",direct replication; falsification; power; replicability; transparency,,None to declare.,None to declare.,K Kawakami,"R Giner-Sorolla, Anonymous reviewer 2, Anonymous reviewer 3, Anonymous reviewer 4",
"EP LeBel, L Campbell, & TJ Loving",2017,Benefits of open and high-powered research outweigh costs,Journal of Personality and Social Psychology,10.1037/pspi0000049,"https://etiennelebel.com/documents/lcl(2017,jpsp).pdf",,,15,,,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2616384,3557,496,"December 17, 2018",,,,,https://osf.io/hpwqd/,,,conceptual,,,,,"Several researchers recently outlined unacknowledged costs of open science practices, arguing these costs may outweigh benefits and stifle discovery of novel findings. We scrutinize these researchers’ (a) statistical concern that heightened stringency with respect to false-positives will increase false-negatives and (b) metascientific concern that larger samples and executing direct replications engender opportunity costs that will decrease the rate of making novel discoveries. We argue their statistical concern is unwarranted given open science proponents recommend such practices to reduce the inflated Type I error rate from .35 down to .05 and simultaneously call for high-powered research to reduce the inflated Type II error rate. Regarding their metaconcern, we demonstrate that incurring some costs is required to increase the rate (and frequency) of making true discoveries because distinguishing true from false hypotheses requires a low Type I error rate, high statistical power, and independent direct replications. We also examine pragmatic concerns raised regarding adopting open science practices for relationship science (preregistration, open materials, open data, direct replications, sample size); while acknowledging these concerns, we argue they are overstated given available solutions. We conclude benefits of open science practices outweigh costs for both individual researchers and the collective field in the long run, but that short term costs may exist for researchers because of the currently dysfunctional academic incentive structure. Our analysis implies our field’s incentive structure needs to change whereby better alignment exists between researcher’s career interests and the field’s cumulative progress. We delineate recent proposals aimed at such incentive structure realignment.",open science practices; independent replication; cumulative knowledge; analytic and design flexibility,,None to declare.,None to declare.,RC Fraley,"Anonymous reviewer 1, M Kraus",
"M Heino, EI Fried, & EP LeBel",2017,Complex phenomena require sophisticated designs: Why we shouldn't give up on replicability,Frontiers in Psychology,10.3389/fpsyg.2017.01004,"https://etiennelebel.com/documents/hf&l(2017,fip).pdf",,,3,http://journal.frontiersin.org/article/10.3389/fpsyg.2017.01004/full,4862,https://osf.io/6b95w/,,268,"December 14, 2018",,,,,,,,commentary,,,,,,replicability crisis; replication; complexity; complex systems; falsification,"All authors listed, have made substantial, direct and intellectual contribution to the work, and approved it for publication.",None to declare.,"Academy of Finland (grant # 295765: M Heino), European Research Council (Consolidator grant # 647209: EI Fried)",MS Hagger,D Trafimow,
"I Cheung, L Campbell, EP LeBel, ... , & JC Yong",2016,"Registered Replication Report: Study 1 from Finkel, Rusbult, Kumashiro, & Hannon (2002) (RRR5)",Perspectives on Psychological Science,10.1177/1745691616664694,http://journals.sagepub.com/doi/pdf/10.1177/1745691616664694,,1033,24,http://journals.sagepub.com/doi/10.1177/1745691616664694,,,,,"December 15, 2018",preregplusrr,https://osf.io/2h6tf/,https://osf.io/knfy4/files/,https://osf.io/3nz7j/files/,https://osf.io/3nz7j/files/,basic4.at.subm,,replication,16,Finkel et al. (2002) Study 1,commitment on forgiveness effect,https://static1.squarespace.com/static/56c0eeaa7c65e465b5050feb/t/5804396dbe6594564b28c24b/1476671855511/2016_Finkel_PPS.pdf,"Finkel, Rusbult, Kumashiro, and Hannon (2002, Study 1) demonstrated a causal link between subjective commitment to a relationship and how people responded to hypothetical betrayals of that relationship. Participants primed to think about their commitment to their partner (high commitment) reacted to the betrayals with reduced exit and neglect responses relative to those primed to think about their independence from their partner (low commitment). The priming manipulation did not affect constructive voice and loyalty responses. Although other studies have demonstrated a correlation between subjective commitment and responses to betrayal, this study provides the only experimental evidence that inducing changes to subjective commitment can causally affect forgiveness responses. This Registered Replication Report (RRR) meta-analytically combines the results of 16 new direct replications of the original study, all of which followed a standardized, vetted, and preregistered protocol. The results showed little effect of the priming manipulation on the forgiveness outcome measures, but it also did not observe an effect of priming on subjective commitment, so the manipulation did not work as it had in the original study. We discuss possible explanations for the discrepancy between the findings from this RRR and the original study. ",commitment; rejection; relationships; analytic reproducibility; replication; preregistration,,None to declare.,None to declare.,DJ Simons,,
EP LeBel,2015,A new replication norm for psychology,Collabra: Psychology,10.1525/collabra.23,"https://etiennelebel.com/documents/l(2015,collabra).pdf",,346,10,http://collabra.org/articles/10.1525/collabra.23/,2051,,,,"December 14, 2018",,,,,,,,conceptual,,,,,"In recent years, there has been a growing concern regarding the replicability of findings in psychology, including a mounting number of prominent findings that have failed to replicate via high-powered independent replication attempts. In the face of this replicability “crisis of confidence”, several initiatives have been implemented to increase the reliability of empirical findings. In the current article, I propose a new replication norm that aims to further boost the dependability of findings in psychology. Paralleling the extant social norm that researchers should peer review about three times as many articles that they themselves publish per year, the new replication norm states that researchers should aim to independently replicate important findings in their own research areas in proportion to the number of original studies they themselves publish per year (e.g., a 4:1 original-to-replication studies ratio). I argue this simple approach could significantly advance our science by increasing the reliability and cumulative nature of our empirical knowledge base, accelerating our theoretical understanding of psychological phenomena, instilling a focus on quality rather than quantity, and by facilitating our transformation toward a research culture where executing and reporting independent direct replications is viewed as an ordinary part of the research process. To help promote the new norm, I delineate (1) how each of the major constituencies of the research process (i.e., funders, journals, professional societies, departments, and individual researchers) can incentivize replications and promote the new norm and (2) any obstacles each constituency faces in supporting the new norm.",independent replication; cumulative knowledge; replication norm,,None to declare.,None to declare.,S Vazire,"K Corker, Anonymous reviewer 2",http://s3-eu-west-1.amazonaws.com/ubiquity-partner-network/ucp/journal/collabra/collabra-pr-23-v2.pdf
"AA Aarts, ... , EP LeBel, ... , BA Nosek",2015,Estimating the [replicability] of psychological science (RPP),Science,10.1126/science.aac4716,"https://etiennelebel.com/documents/osc(2015,science).pdf",65411,,2676,,,https://osf.io/447b3/,,12390,"December 14, 2018",,,https://osf.io/ezcuj/wiki/Replicated%20Studies/,https://osf.io/ytpuq/wiki/home/,https://osf.io/ytpuq/wiki/home/,,,replication,100,,100 social/cognitive psychology effects,http://science.sciencemag.org/content/351/6277/1037.2,"[Replicability] is a defining feature of science, but the extent to which it characterizes current research is unknown. We conducted replications of 100 experimental and correlational studies published in three psychology journals using high-powered designs and original materials when available. Replication effects were half the magnitude of original effects, representing a substantial decline. Ninety-seven percent of original studies had statistically significant results. Thirty-six percent of replications had statistically significant results; 47% of original effect sizes were in the 95% confidence interval of the replication effect size; 39% of effects were subjectively rated to have replicated the original result; and if no bias in original results is assumed, combining original and replication results left 68% with statistically significant effects. Correlational tests suggest that replication success was better predicted by the strength of original evidence than by characteristics of the original and replication teams. ",,,None to declare.,None to declare.,Anonymous,Anonymous reviewer 1; Anonymous reviewer 2; Anonymous reviewer 3; Anonymous reviewer 4,
C Madurski & EP LeBel,2015,Replication difficulties of Correll's (2008) modulation of 1/f noise in a racial bias task,Psychonomic Bulletin & Review,10.3758/s13423-014-0757-4,"http://etiennelebel.com/documents/m&l(2015,pbr).pdf",,,5,,,http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2435572,1004,73,"December 20, 2018",preregplus,https://osf.io/iwe3v/,https://osf.io/iraqy/files/,https://osf.io/iraqy/files/,https://osf.io/iraqy/files/,basic4.at.subm,,replication,2,Correll (2008) Study 2,modulation of 1/f noise racial bias emission,,"Correll (2008; Study 2, Journal of Personality and Social Psychology, 94, 48–59) found that instructions to use or avoid race information decreased the emission of 1/f noise in a weapon identification task (WIT). These results suggested that 1/f noise in racial bias tasks reflected an effortful deliberative process, providing new insights regarding the mechanisms underlying implicit racial biases. Given the potential theoretical and applied importance of understanding the psychological processes underlying implicit racial biases – and in light of the growing demand for independent direct replications of findings to ensure the cumulative nature of our science – we attempted to replicate Correll’s finding in two high-powered studies. Despite considerable effort to closely duplicate all procedural and methodological details of the original study (i.e., same cover story, experimental manipulation, implicit measure task, original stimuli, task instructions, sampling frame, population, and statistical analyses), both replication attempts were unsuccessful in replicating the original finding challenging the theoretical account that 1/f noise in racial bias tasks reflects a deliberative process. However, the emission of 1/f noise did consistently emerge across samples in each of our conditions. Hence, future research is needed to clarify the psychological significance of 1/f noise in racial bias tasks.",1/f noise; implicit racial bias;  weapon identification task;  independent direct replication,,None to declare.,"Social Science and Humanities Research Council (SSHRC grant # 756-2011-0090, Canada: EP LeBel)",SD Goldinger,Anonymous reviewer 1; Anonymous reviewer 2,
"L Campbell, TJ Loving, & EP LeBel",2014,Enhancing transparency of the research process to increase accuracy of findings: A guide for relationship researchers,Personal Relationships,10.1111/pere.12053,"https://etiennelebel.com/documents/cl&l(2014,pr).pdf",,,21,,,http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2435185,1006,133,"December 20, 2018",,,,,,,,conceptual,,,,,"The purpose of this paper is to extend to the field of relationship science, recent discussions and suggested changes in open research practises. We demonstrate different ways that greater transparency of the research process in our field will accelerate scientific progress by increasing accuracy of reported research findings. Importantly, we make concrete recommendations for how relationship researchers can transition to greater disclosure of research practices in a manner that is sensitive to the unique design features of methodologies employed by relationship scientists. We discuss how to implement these recommendations for four different research designs regularly used in relationship research and practical limitations regarding implementing our recommendations and provide potential solutions to these problems.",,,None to declare.,None to declare.,J Fitness,"Anonymous reviewer 1, Anonymous reviewer 2",
EP LeBel & CJ Wilbur,2014,Big secrets do not necessarily cause hills to appear steeper,Psychonomic Bulletin & Review,10.3758/s13423-013-0549-2,"http://etiennelebel.com/documents/l&w(2014,pbr).pdf",,,19,,,,,,"December 20, 2018",preregplus,https://osf.io/dz2fx/,https://osf.io/w6kv5/files/,https://osf.io/w6kv5/files/,https://osf.io/w6kv5/files/,basic4.at.subm,,replication,2,Slepian et al. (2012) Study 1,physical burdensomeness of secrets effect,,"Slepian, Masicampo, Toosi, and Ambady (2012, Study 1, Journal of Experimental Psychology: General, 141, 619–624) found that individuals recalling and writing about a big, meaningful secret judged a pictured hill as steeper than did those who recalled and wrote about a small, inconsequential secret (with estimates unrelated to physical effort unaffected). From an embodied cognition perspective, this result was interpreted as suggesting that important secrets weigh people down. Answering to mounting calls for the crucial need of independent direct replications of published findings to ensure the self-correcting nature of our science, we sought to corroborate Slepian et al.’s finding in two extremely highpowered, preregistered studies that were very faithful to all procedural and methodological details of the original study (i.e., same cover story, study title, manipulation, measures, item order, scale anchors, task instructions, sampling frame, population, and statistical analyses). In both samples, we were unsuccessful in replicating the target finding. Although Slepian et al. reported three other studies supporting the secret burdensomeness phenomenon, we advise that these three other findings need to be independently corroborated before the general phenomenon informs theory or health interventions.",embodied cognition; secrecy; concealment of secrets; independent direct replication,,None to declare.,"Social Science and Humanities Research Council (SSHRC grant # 756-2011-0090, Canada: EP LeBel)",C Moore,A Glenberg; Anonymous reviewer 2; Anonymous reviewer 3,
EP LeBel & L Campbell,2013,Heightened sensitivity to temperature cues in individuals with high anxious attachment: Real or elusive phenomenon?,Psychological Science,10.1177/0956797613486983,"http://etiennelebel.com/documents/l&c(2013,psci).pdf",,,46,,,,,,"December 20, 2018",preregplus,https://osf.io/kizyn/,https://osf.io/qsnvb/,https://osf.io/qsnvb/,https://osf.io/qsnvb/,basic4.retro,"November 1, 2013",replication,2,Vess (2012) Study 1,anxious attachment warm food effect,,,,,None to declare.,"Social Science and Humanities Research Council (SSHRC grant # 756-2011-0090, Canada: EP LeBel); SSHRC grant (Canada: L Campbell)",E Eich,Anonymous reviewer 1,
"EP LeBel, D Borsboom, R Giner-Sorolla, F Hasselman, ... , & CT Smith",2013,PsychDisclosure.org: Grassroots support for reforming reporting standards in psychology,Perspectives on Psychological Science,10.1177/1745691613491437,"https://etiennelebel.com/documents/lbghprs(2013,pps).pdf",,,77,,,,,,"December 20, 2018",,,,,,,,conceptual,,,,,"There is currently an unprecedented level of doubt regarding the reliability of research findings in psychology. Many recommendations have been made to improve the current situation. In this article, we report results from PsychDisclosure.org, a novel open-science initiative that provides a platform for authors of recently published articles to disclose four methodological design specification details that are not required to be disclosed under current reporting standards but that are critical for accurate interpretation and evaluation of reported findings. Grassroots sentiment -- as manifested in the positive and appreciative response to our initiative -- indicates that psychologists want to see changes made at the systemic level regarding disclosure of such methodological details. Almost 50% of contacted researchers disclosed the requested design specifications for the four methodological categories (excluded subjects, nonreported conditions and measures, and sample size determination). Disclosed information provided by participating authors also revealed several instances of questionable editorial practices, which need to be thoroughly examined and redressed. On the basis of these results, we argue that the time is now for mandatory methods disclosure statements for all psychology journals, which would be an important step forward in improving the reliability of findings in psychology.",reporting standards; disclosure; methodological design specifications; methodology,,None to declare.,"Social Science and Humanities Research Council (SSHRC grant # 756-2011-0090, Canada: EP LeBel)",B Spellman,Anonymous reviewer 1,
EP LeBel & L Campbell ,2013,The interactive role of implicit and explicit partner evaluations on ongoing affective and behavioral romantic realities,Social Psychological and Personality Science,10.1177/1948550612448196,"https://etiennelebel.com/documents/l&c(2013,spps).pdf",,,10,,,,,,"December 20, 2018",,,,,,basic7,"February 15, 2018",original,,,,,"Past research on close relationships has increasingly focused on the assessment of implicit constructs to shed new light on relationship processes. However, virtually nothing is known about the role of such constructs in understanding ongoing affective and behavioral romantic realities and how implicit and explicit relationship constructs interact in the context of daily relationship outcomes. Using a 21-day diary approach, the present research examined the unique and interactive role of implicit partner evaluations and explicit partner perceptions on relationship outcomes (daily relationship quality and positive relationship behaviors enacted toward partner). Results showed that more positive implicit partner evaluations uniquely predicted more positive relationship outcomes during the 21-day diary period, but that this was especially pronounced in individuals who did not explicitly perceive their partner’s attributes in an overly positive manner. Implications for the close relationship literature are discussed.",implicit partner evaluations; explicit partner perceptions; relationship satisfaction,,None to declare.,"Social Science and Humanities Research Council (SSHRC grant # 756-2011-0090, Canada: EP LeBel), SSHRC grant (Canada: L Campbell)",C Finkenauer,Anonymous reviewer 1,
"AA Aarts, ... , EP LeBel, ... , & BA Nosek (2012)",2012,"An open, large-scale, collaborative effort to estimate the [replicability] of psychological science",Perspectives on Psychological Science,10.1177/1745691612462588,"https://etiennelebel.com/documents/osc(2012,pps).pdf",,,345,,,,,,"December 20, 2018",,,,,,,,conceptual,,,,,"[Replicability] is a defining feature of science. However, because of strong incentives for innovation and weak incentives for confirmation, direct replication is rarely practiced or published. The [Replicability] Project is an open, large-scale, collaborative effort to systematically examine the rate and predictors of [replicability] in psychological science. So far, 72 volunteer researchers from 41 institutions have organized to openly and transparently replicate studies published in three prominent psychological journals in 2008. Multiple methods will be used to evaluate the findings, calculate an empirical rate of replication, and investigate factors that predict [replicability]. Whatever the result, a better understanding of [replicability] will ultimately improve confidence in scientific methodology and findings.",methodology; replication; reproducibility; psychological science; open,,None to declare.,None to declare.,,,
SV Paunonen & EP LeBel,2012,Socially desirable responding and its elusive effects on the validity of personality assessments,Journal of Personality and Social Psychology,10.1037/a0028165,"https://etiennelebel.com/documents/p&l(2012,jpsp).pdf",,,80,,,,,,"December 20, 2018",,,,,https://osf.io/g8k8g/files/,,,conceptual,,,,,"Past studies of socially desirable self-reports on the items of personality measures have found inconsistent effects of the response bias on the measures’ predictive validities, with some studies reporting small effects and other studies reporting large effects. Using Monte Carlo methods, we evaluated various models of socially desirable responding by systematically adding predetermined amounts of the bias to the simulated personality trait scores of hypothetical test respondents before computing test–criterion validity correlations. Our study generally supported previous findings that have reported relatively minor decrements in criterion prediction, even with personality scores that were massively infused with desirability bias. Furthermore, the response bias failed to reveal itself as a statistical moderator of test validity or as a suppressor of validity. Large differences between some respondents’ obtained test scores and their true trait scores, however, meant that the personality measure’s construct validity would be severely compromised and, more specifically, that estimates of those individuals’ criterion performance would be grossly in error. Our discussion focuses on reasons for the discrepant results reported in the literature pertaining to the effect of socially desirable responding on criterion validity. More important, we explain why the lack of effects of desirability bias on the usual indicators of validity, moderation, and suppression should not be surprising.",social desirability; personality assessment; response bias; test validity; Monte Carlo simulation,,None to declare.,"Social Science and Humanities Research Council (Canada, SSHRC grant # 410-2010-2586: SV Paunonen), SSHRC (Canada, SSHRC doctoral fellowship # 767-2007-1425: EP LeBel)",L King,"Anonymous reviewer 1, Anonymous reviewer 2",
EP LeBel & KR Peters,2011,Fearing the future of empirical psychology: Bem's (2011) evidence of psi as a case study of deficiencies in modal research practice,Review of General Psychology,10.1037/a0025172,"https://etiennelebel.com/documents/l&p(2011,pspb).pdf",,,140,,,,,,"December 20, 2018",,,,,,,,conceptual,,,,,"In this methodological commentary, we use Bem’s (2011) recent article reporting experimental evidence for psi as a case study for discussing important deficiencies in modal research practice in empirical psychology. We focus on (a) overemphasis on conceptual rather than close replication, (b) insufficient attention to verifying the soundness of measurement and experimental procedures, and (c) flawed implementation of null hypothesis significance testing. We argue that these deficiencies contribute to weak method-relevant beliefs that, in conjunction with overly strong theory-relevant beliefs, lead to a systemic and pernicious bias in the interpretation of data that favors a researcher’s theory. Ultimately, this interpretation bias increases the risk of drawing incorrect conclusions about human psychology. Our analysis points to concrete recommendations for improving research practice in empirical psychology. We recommend (a) a stronger emphasis on close replication, (b) routinely verifying the integrity of measurement instruments and experimental procedures, and (c) using stronger, more diagnostic forms of null hypothesis testing.",psi; close replication; NHST; file drawer problem; modal research practice,,None to declare.,"Social Science and Humanities Research Council (Canada, SSHRC doctoral fellowship # 767-2007-1425: EP LeBel)",D Candland,Anonymous reviewer 1,
EP LeBel & SV Paunonen,2011,Sexy but often unreliable: Impact of unreliability on the replicability of experimental findings involving implicit measures,Personality and Social Psychology Bulletin,10.1177/0146167211400619,"https://etiennelebel.com/documents/l&p(2011,pspb).pdf",,,95,,,,,,"December 20, 2018",,,,,http://figshare.com/articles/SPSS_syntax_for_LeBel_Paunonen_2011_PSPB_/953179,,,conceptual,,,,,"Implicit measures have contributed to important insights in almost every area of psychology. However, various issues and challenges remain concerning their use, one of which is their considerable variation in reliability, with many implicit measures having questionable reliability. The goal of the present investigation was to examine an overlooked consequence of this liability with respect to replication, when such implicit measures are used as dependent variables in experimental studies. Using a Monte Carlo simulation, the authors demonstrate that a higher level of unreliability in such dependent variables is associated with substantially lower levels of replicability. The results imply that this overlooked consequence can have farreaching repercussions for the development of a cumulative science. The authors recommend the routine assessment and reporting of the reliability of implicit measures and also urge the improvement of implicit measures with low reliability.",implicit measures; replicability; replication; reliability; measurement error ,,None to declare.,"Social Science and Humanities Research Council (Canada, SSHRC doctoral fellowship # 767-2007-1425: EP LeBel), SSHRC grant (Canada, grant # 410-2010-2586: SV Paunonen)",DA Stapel,"Anonymous reviewer 1, Anonymous reviewer 2",
EP LeBel,2010,Attitude accessibility as a moderator of implicit and explicit self-esteem correspondence,Self and Identity,10.1080/15298860902979166,https://etiennelebel.com/documents/l2010sai.pdf,,,18,,,,,,"December 20, 2018",,,http://figshare.com/articles/LeBel_2010_S_I_Data_and_syntax_/953183,http://figshare.com/articles/LeBel_2010_S_I_Data_and_syntax_/953183,http://figshare.com/articles/LeBel_2010_S_I_Data_and_syntax_/953183,basic7,"February 15, 2018",original,,,,,"A key question in the self-esteem literature involves the conditions under which implicit and explicit self-esteem correspond. The current investigation adds to this literature by using a novel strategy capitalizing on natural variation in self-report response latencies to shed further light on the conditions of implicit and explicit selfesteem consistency. The current study demonstrated that implicit and explicit selfesteem corresponded for highly accessible self-attitudes (as indexed by response latencies to the Rosenberg Self-Esteem Scale items, RSES; Rosenberg, 1965) whereas implicit and explicit self-esteem were virtually unrelated for less accessible self-attitudes. This effect was found using both the Name Letter Task (NLT; Nuttin, 1985) and the Self-Esteem Implicit Association Test (SE-IAT; Greenwald & Farnham, 2000) as measures of implicit self-esteem.",explicit self-esteem; implicit–explicit correspondence; implicit self-esteem; Name Letter Task; self-esteem Implicit Association Test,,None to declare.,"Social Science and Humanities Research Council (Canada, SSHRC doctoral fellowship # 767-2007-1425: EP LeBel)",J Bosson,"Anonymous reviewer 1, Anonymous reviewer 2",
EP LeBel & B Gawronski,2009,How to find what's in a name: Scrutinizing the optimality of five scoring algorithms for the name-letter task,European Journal of Personality,10.1002/per.705,"https://etiennelebel.com/documents/l&g(2009,ejp).pdf",,,94,,,,,,"December 20, 2018",,,,http://figshare.com/articles/LeBel_Gawronski_2009_EJP_/953189,http://figshare.com/articles/LeBel_Gawronski_2009_EJP_/953189,,,reanalysis,,,,,"Although the name-letter task (NLT) has become an increasingly popular technique to measure implicit self-esteem (ISE), researchers have relied on different algorithms to compute NLT scores and the psychometric properties of these differently computed scores have never been thoroughly investigated. Based on 18 independent samples, including 2690 participants, the current research examined the optimality of five scoring algorithms based on the following criteria: reliability; variability in reliability estimates across samples; types of systematic error variance controlled for; systematic production of outliers and shape of the distribution of scores. Overall, an ipsatized version of the original algorithm exhibited the most optimal psychometric properties, which is recommended for future research using the NLT.",name-letter task; initial preference task; implicit self-esteem; reliability; validity,,None to declare.,"Social Science and Humanities Research Council (Canada, SSHRC doctoral fellowship # 767-2007-1425: EP LeBel); Canada Research Chairs Program Grant (Canada, grant # 202555: B Gawronski); SSHRC (grant # 410-2008-2247: B Gawronski)",M Perugini,Anonymous reviewer 1,
EP LeBel & L Campbell ,2009,"Implicit partner affect, relationship satisfaction, and the prediction of romantic breakup",Journal of Experimental Social Psychology,10.1016/j.jesp.2009.07.003,"https://etiennelebel.com/documents/l&c(2009,jesp).pdf",,,50,,,,,,"December 20, 2018",,,,,,,,original,,,,,"The current research investigated the role of spontaneous partner feelings (implicit partner affect) in the dynamics of relationship satisfaction, commitment, and romantic dissolution. Participants completed a variant of the name-letter task as a measure of implicit partner affect, and self-report measures of relationship satisfaction and commitment. Approximately 4 months later, participants were contacted to assess their current relationship status. Overall, participants showed a biased preference for their partner’s initials (after adjusting for proper baselines), indicating the presence of positive implicit partner affect. Participants with more positive implicit partner affect were more satisfied with, but not more committed to, their relationship. Additionally, implicit partner affect exerted a significant indirect effect on relationship stability. These effects were independent of relationship length, age, and gender. Implications for the role of automatic affective processes in relationship processes and the utility of indirect measures for shedding light on relationship dynamics are discussed.",implicit partner evaluation; implicit measures; name-letter effect; relationship satisfaction; relationship stability,,None to declare.,"Social Science and Humanities Research Council (Canada, SSHRC doctoral fellowship # 767-2007-1425: EP LeBel), SSHRC grant (Canada: L Campbell)",J Cooper,Anonymous reviewer 1,
B Gawronski & EP LeBel,2008,"Understanding patterns of attitude change: When implicit measures show change, but explicit measures do not",Journal of Experimental Social Psychology,10.1016/j.jesp.2008.04.005,https://etiennelebel.com/documents/gl2008jesp.pdf,,,256,,,,,,"December 20, 2018",,,,,,,,original,,,,,"A common assumption in research on attitudes is that indirect measures assess relatively stable implicit attitudes, whereas traditional self-report measures assess more recently acquired explicit attitudes that coexist with old, presumably stable implicit attitudes. This assumption seems difficult to reconcile with research showing experimentally induced changes on implicit but not explicit measures. The present research tested a process-account of such asymmetrical patterns. Specifically, we argue that implicit measures show experimental effects that do not emerge on explicit measures when (a) the pairing of an attitude object with positive or negative valence creates new automatic associations in memory, and, at the same time, (b) the consideration of additional information about the attitude object eliminates the impact of automatic associations on self-reported evaluative judgments. Results from three studies support these predictions. Implications for research on attitude change are discussed.",attitude change; evaluative conditioning; implicit measures; introspection; mere ownership,,None to declare.,"Canada Research Chairs Program Grant (Canada, grant # 202555: B Gawronski), SSHRC (Canada, grant # 410-2005-1339: B Gawronski), Academic Development Fund (Canada, UWO, grant # 05-303: B Gawronski)",,,
"B Gawronski, EP LeBel, & KR Peters (2007)",2007,What do implicit measures tell us? Scrutinizing the validity of three common assumptions,Perspectives on Psychological Science,10.1111/j.1745-6916.2007.00036.x,https://etiennelebel.com/documents/glp2007pps.pdf,,,296,,,,,,"December 20, 2018",,,,,,,,conceptual,,,,,"Experimental paradigms designed to assess ‘implicit’ representations are currently very popular in many areas of psychology. The present article addresses the validity of three widespread assumptions in research using these paradigms: that (a) implicit measures reflect unconscious or introspectively inaccessible representations; (b) the major difference between implicit measures and self-reports is that implicit measures are resistant or less susceptible to social desirability; and (c) implicit measures reflect highly stable, older representations that have their roots in long-term socialization experiences. Drawing on a review of the available evidence, we conclude that the validity of all three assumptions is equivocal and that theoretical interpretations should be adjusted accordingly. We discuss an alternative conceptualization that distinguishes between activation and validation processes.",,,None to declare.,"Canada Research Chairs Program Grant (Canada, grant # 202555: B Gawronski), SSHRC (Canada, grant # 410-2005-1339: B Gawronski), Academic Development Fund (Canada, UWO, grant # 05-303: B Gawronski)",,,


measure_id,redcap_data_access_group,full_name,short_name,numerator_field,denominator_field,direction_higher,measure_information_complete
AA-1a,,Percent of all patient transport contacts with an advanced airway supported by a mechanical ventilator',Mech. vent - Overall,adv_airway_ventilator,adv_airway_cases,1,2
AA-1b,,Percent of Neonatal patient transport contacts with  an advanced airway supported by a mechanical ventilator,Mech. vent - Neo,neo_adv_airway_vent,neo_adv_airway_cases,1,2
AA-1c,,Percent of Pediatric patient transport contacts with an advanced airway supported by a mechanical ventilator,Mech. vent - Ped,ped_adv_airway_vent,ped_adv_airway_cases,1,2
AA-1d,,Percent of Adult patient transport contacts with an advanced airway supported by a mechanical ventilator',Mech. vent - Adult,adult_adv_airway_vent,adult_adv_airway_cases,1,2
AA-2a,,Percent of patient transport contacts with advanced airways  in whom continuous waveform capnography was used.,Capnography - Overall,adv_airway_wave_capno,adv_airway_cases,1,2
AA-2b,,Percent of Neonatal patient transport contacts with advanced airways  in whom continuous waveform capnography was used.,Capnography - Neo,neo_adv_airway_capno,neo_adv_airway_cases,1,2
AA-2c,,Percent of Pediatric patient transport contacts with advanced airways  in whom continuous waveform capnography was used,Capnography - Peds,ped_adv_airway_capno,ped_adv_airway_cases,1,2
AA-2d,,Percent of Adult patient transport contacts with advanced airways  in whom continuous waveform capnography was used,Capnography - Adult,adult_adv_airway_capno,adult_adv_airway_cases,1,2
AA-3a,,Percent of intubated patient transport contacts with documentation of confirmed tracheal tube placement.,Intubated patients with confirmation,adv_airway_tt_confirmed,adv_airway_tt_cases,1,2
IN-1a,,Percent of Neonatal transport contacts successfully intubated on the 1st attempt by the transport team,1st Intubation Success - Neo,intub_neo_first_success,intub_neo_attempts,1,2
IN-1b,,Percent of Pediatric transport contacts successfully intubated on the 1st attempt by the transport team,1st Intubation Success - Ped,intub_ped_first_success,intub_ped_attempts,1,2
IN-1c,,Percent of Adult transport contacts successfully intubated on the 1st attempt by the transport team,1st Intubation Success - Adult,intub_adult_first_success,intub_adult_attempts,1,2
IN-2a,,Percent of Neonatal patients with definitive airway during the 1st attempt by the transport team without suffering hypoxia or hypotension,1st Intubation DASH 1a - Neo,intub_neo_no_hypoxia,intub_neo_attempts,1,2
IN-2b,,Percent of Pediatric patients with definitive airway during the 1st attempt by the transport team without suffering hypoxia or hypotension,1st Intubation DASH 1a - Ped,intub_ped_no_hypoxia,intub_ped_attempts,1,2
IN-2c,,Percent of Adult patients with definitive airway during the 1st attempt by the transport team without suffering hypoxia or hypotension,1st Intubation DASH 1a - Adult,intub_adult_no_hypoxia,intub_adult_attempts,1,2
IN-3,,Percent of patient transport contacts undergoing RSI where all indicated elements of the program`s RSI protocol were completed.,RSI protocol adherence,intub_rsi_compliant,intub_rsi_cases,1,2
GT-1,,Percent of neonates found hypothermic upon admission,Neonatal Hypothermia,unintended_hypothermia,total_neo_patients,0,2
GT-2,,Percent of patient transport contacts with a documented pain assessment,Pain Assessment,pain_scale_used,total_patients,1,2
GT-3,,Number of HEMS patient transport contacts discharged without hospital admission per 1000 HEMS transports,HEMS ED overtriage,hems_ed_discharge,hems_cases,0,2
GT-4,,"CPR rate per 10,000 transports",CPR during transport,cpr_cases,total_patients,0,2
GT-5,,Percent of cases involving a standardized patient care hand-off,Standardized Handoff,standardized_handoffs,total_patients,1,2
SC-1,,"Percent of patient transport contacts with altered mental status or focal neurologic deficit with a documented blood glucose check""",Glucose check with altered mentation,alt_ment_bg_checks,alt_ment_cases,1,2
SC-2,,Percent of transport patient contacts with accurately interpreted 12-lead ECG evaluations,Accurate 12-lead evaluation,ecg_accurate_interpret,ecg_cases,1,2
SC-3,,Percent of transport patient contacts with hemorrhagic stroke and appropriate blood pressure management,Appropriate management of hemorrhagic stroke,hem_stroke_bp_managed,hem_stroke_cases,1,2
SC-4,,Percent of patient transport contacts with hemorrhagic shock appropriately managed,Appropriate management of hemorrhagic shock,hem_shock_managed,hem_shock_cases,1,2
SC-5,,Percent of patient transport contacts with known or suspected aortic dissection receiving indicated blood pressure and heart rate therapies,Appropriate management of aortic dissection,aortic_dissect_managed,aortic_dissect_cases,1,2
SE-1,,"Patient injuries per 10,000 patient transport contacts.",Patient injuries,patient_injuries,total_patients,0,2
SE-2,,"Crew injuries per 10,000 patient transport contacts.",Crew injuries,crew_injuries,total_patients,0,2
SE-3,,Medical equipment failures per 1000 patient transport contacts.,Medical equipment failures,med_equip_failure,total_patients,0,2
SE-4,,Unplanned dislodgements of therapeutic devices per 1000 patient transport contacts,Device dislodgment,dislodgements,total_patients,0,2
SE-5,,"Medication errors per 10,000 patient transport contacts.",Medication errors,medication_errors,total_patients,0,2
SE-6,,"Serious Reportable Events per 10,000 patient transport contacts",Serious Reportable Events,sre,total_patients,0,2
SE-7,,"Transport-related patient mishaps per 10,000 patient transport contacts",Near-miss Events,near_miss,total_patients,0,2
SE-8,,"Adverse drug events per 10,000 patient transport contacts",Adverse Drug Events,ade,total_patients,0,2
SE-9,,,,,,,


Type,Local Number,Message,Field 1,Value 1,Units 1,Field 2,Value 2,Units 2,Field 3,Value 3,Units 3,Field 4,Value 4,Units 4,Field 5,Value 5,Units 5,Field 6,Value 6,Units 6,Field 7,Value 7,Units 7,Field 8,Value 8,Units 8,Field 9,Value 9,Units 9,Field 10,Value 10,Units 10,Field 11,Value 11,Units 11,Field 12,Value 12,Units 12,Field 13,Value 13,Units 13,Field 14,Value 14,Units 14,Field 15,Value 15,Units 15,Field 16,Value 16,Units 16,Field 17,Value 17,Units 17,Field 18,Value 18,Units 18,Field 19,Value 19,Units 19,Field 20,Value 20,Units 20,Field 21,Value 21,Units 21,Field 22,Value 22,Units 22,Field 23,Value 23,Units 23,Field 24,Value 24,Units 24,Field 25,Value 25,Units 25,Field 26,Value 26,Units 26,Field 27,Value 27,Units 27,Field 28,Value 28,Units 28,Field 29,Value 29,Units 29,Field 30,Value 30,Units 30,Field 31,Value 31,Units 31,Field 32,Value 32,Units 32,Field 33,Value 33,Units 33,Field 34,Value 34,Units 34,Field 35,Value 35,Units 35,Field 36,Value 36,Units 36,Field 37,Value 37,Units 37,Field 38,Value 38,Units 38,Field 39,Value 39,Units 39,Field 40,Value 40,Units 40,Field 41,Value 41,Units 41,Field 42,Value 42,Units 42,Field 43,Value 43,Units 43,Field 44,Value 44,Units 44,Field 45,Value 45,Units 45,Field 46,Value 46,Units 46,Field 47,Value 47,Units 47,Field 48,Value 48,Units 48,Field 49,Value 49,Units 49,Field 50,Value 50,Units 50,Field 51,Value 51,Units 51,Field 52,Value 52,Units 52,Field 53,Value 53,Units 53,Field 54,Value 54,Units 54,Field 55,Value 55,Units 55,Field 56,Value 56,Units 56,Field 57,Value 57,Units 57,Field 58,Value 58,Units 58,Field 59,Value 59,Units 59,Field 60,Value 60,Units 60,Field 61,Value 61,Units 61,Field 62,Value 62,Units 62,Field 63,Value 63,Units 63,Field 64,Value 64,Units 64,Field 65,Value 65,Units 65,Field 66,Value 66,Units 66,Field 67,Value 67,Units 67,Field 68,Value 68,Units 68,
Definition,0,file_id,serial_number,1,,time_created,1,,unknown,1,,manufacturer,1,,product,1,,number,1,,type,1,,
Data,0,file_id,serial_number,"3932942223",,time_created,"866218215",,manufacturer,"1",,garmin_product,"2530",,type,"4",,,,,,,,
Definition,1,file_creator,software_version,1,,hardware_version,1,,,,,,,,,,,,,,,,,
Data,1,file_creator,software_version,"700",,,,,,,,,,,,,,,,,,,,
Definition,2,event,timestamp,1,,data,1,,event,1,,event_type,1,,event_group,1,,,,,,,,
Data,2,event,timestamp,"866218215",s,timer_trigger,"0",,event,"0",,event_type,"0",,event_group,"0",,,,,,,,
Definition,3,device_info,timestamp,1,,serial_number,1,,cum_operating_time,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,manufacturer,1,,product,1,,software_version,1,,battery_voltage,1,,device_index,1,,device_type,1,,hardware_version,1,,unknown,1,,battery_status,1,,ant_network,1,,source_type,1,,
Data,3,device_info,timestamp,"866218215",s,serial_number,"3932942223",,manufacturer,"1",,garmin_product,"2530",,software_version,"7.0",,device_index,"0",,source_type,"5",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,3,device_info,timestamp,"866218215",s,manufacturer,"1",,garmin_product,"2530",,software_version,"7.0",,device_index,"1",,device_type,"4",,source_type,"5",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,3,device_info,timestamp,"866218215",s,manufacturer,"1",,garmin_product,"1621",,software_version,"4.3",,device_index,"2",,device_type,"0",,source_type,"5",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,3,device_info,timestamp,"866218215",s,serial_number,"3945849289",,unknown,"95347",,unknown,"8918",,unknown,"24699337",,manufacturer,"1",,garmin_product,"255",,software_version,"154.0",,device_index,"3",,antplus_device_type,"120",,unknown,"91",,ant_network,"1",,source_type,"1",,,,,,,,,,,,,,,,,
Data,3,device_info,timestamp,"866218215",s,unknown,"116891",,unknown,"8964",,unknown,"24720989",,device_index,"4",,antplus_device_type,"121",,unknown,"93",,ant_network,"1",,source_type,"1",,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,3,device_info,timestamp,"866218215",s,manufacturer,"0",,product,"0",,software_version,"0.0",,device_index,"5",,device_type,"7",,source_type,"5",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Definition,4,unknown,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,,,,,,,,,,,,,,,,,,,,,,
Data,4,unknown,unknown,"866218215",,unknown,"4",,unknown,"4",,unknown,"4",,unknown,"1",,unknown,"3",,unknown,"3",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Definition,5,unknown,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,,,,,,,
Data,5,unknown,unknown,"866218215",,unknown,"0",,unknown,"680",,unknown,"4",,unknown,"122",,unknown,"255",,unknown,"0",,unknown,"0",,unknown,"37",,unknown,"175",,unknown,"1",,unknown,"70",,unknown,"183",,unknown,"1",,unknown,"60",,,,,,,,,,,
Definition,6,device_settings,utc_offset,1,,time_offset,1,,unknown,1,,active_time_zone,1,,unknown,1,,time_mode,1,,time_zone_offset,1,,unknown,1,,unknown,1,,backlight_mode,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,lactate_threshold_autodetect_enabled,1,,unknown,1,,number_of_screens,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,
Data,6,device_settings,utc_offset,"0",,time_offset,"0",s,active_time_zone,"0",,unknown,"0",,time_mode,"1",,time_zone_offset,"0.0",hr,unknown,"3",,unknown,"0",,backlight_mode,"3",,unknown,"0",,unknown,"60",,unknown,"50",,unknown,"1",,unknown,"0",,unknown,"254",,unknown,"0",,unknown,"0",,unknown,"1",,unknown,"1",,unknown,"0",,unknown,"1",,unknown,"1",,unknown,"0",,unknown,"1",,lactate_threshold_autodetect_enabled,"1",,unknown,"0",,unknown,"1",,unknown,"3",,,,,,,,,,,,,,,,,,,,,,,
Definition,7,user_profile,friendly_name,16,,wake_time,1,,sleep_time,1,,unknown,1,,unknown,1,,unknown,1,,weight,1,,user_running_step_length,1,,user_walking_step_length,1,,unknown,1,,unknown,1,,unknown,1,,gender,1,,age,1,,height,1,,language,1,,elev_setting,1,,weight_setting,1,,resting_heart_rate,1,,default_max_biking_heart_rate,1,,default_max_heart_rate,1,,hr_setting,1,,speed_setting,1,,dist_setting,1,,power_setting,1,,activity_class,1,,position_setting,1,,temperature_setting,1,,unknown,1,,height_setting,1,,unknown,1,,,,,,,,,,,,,,
Data,7,user_profile,friendly_name,"edge820",,wake_time,"25200",,sleep_time,"79200",,unknown,"866218203",,unknown,"-0.2857143",,weight,"68.0",kg,user_running_step_length,"0.0",m,user_walking_step_length,"0.0",m,unknown,"122",,unknown,"4",,gender,"1",,age,"38",years,height,"1.75",m,language,"0",,elev_setting,"0",,weight_setting,"0",,resting_heart_rate,"0",bpm,default_max_biking_heart_rate,"185",bpm,default_max_heart_rate,"185",bpm,hr_setting,"1",,speed_setting,"0",,dist_setting,"0",,power_setting,"1",,activity_class,"100",,position_setting,"0",,temperature_setting,"0",,unknown,"79",,height_setting,"0",,,,,,,,,,,,,,,,,,,,,,,
Definition,8,unknown,unknown,1,,unknown,16,,unknown,1,,unknown,4,,unknown,12,,unknown,4,,unknown,4,,unknown,4,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,7,,unknown,7,,unknown,7,,unknown,7,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,
Data,8,unknown,unknown,"24699337",,unknown,"57801",,unknown,"0",,unknown,"255",,unknown,"15400",,unknown,"0",,unknown,"1",,unknown,"0",,unknown,"1",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,8,unknown,unknown,"24720989",,unknown,"13917",,unknown,"1",,unknown,"2096",,unknown,"2073",,unknown,"0",,unknown,"1",,unknown,"0",,unknown,"0",,unknown,"1",,unknown,"125",,unknown,"1",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,8,unknown,unknown,"3245869700",,unknown,"789124",,unknown,"2",,unknown,"2327",,unknown,"1",,unknown,"3400",,unknown,"0",,unknown,"1",,unknown,"0",,unknown,"3",,unknown,"1",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Definition,9,sport,name,16,,unknown,1,,sport,1,,sub_sport,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,3,,unknown,1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,9,sport,name,"Commute|2|||",,unknown,"45",,sport,"2",,sub_sport,"48",,unknown,"1",,unknown,"0",,unknown,"0",,unknown,"0",,unknown,"0|118|190",,unknown,"9",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Definition,10,unknown,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,10,unknown,unknown,"500000",,unknown,"0",,unknown,"4167",,unknown,"1389",,unknown,"60",,unknown,"2778",,unknown,"0",,unknown,"6",,unknown,"0",,unknown,"3",,unknown,"0",,unknown,"1",,unknown,"0",,unknown,"0",,unknown,"1",,unknown,"1",,unknown,"2",,unknown,"1",,unknown,"2",,unknown,"0",,unknown,"1",,unknown,"1",,unknown,"1",,unknown,"0",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Definition,11,zones_target,functional_threshold_power,1,,unknown,1,,max_heart_rate,1,,threshold_heart_rate,1,,hr_calc_type,1,,pwr_calc_type,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,11,zones_target,functional_threshold_power,"400",,max_heart_rate,"183",,hr_calc_type,"1",,pwr_calc_type,"0",,unknown,"1",,unknown,"9",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Definition,12,record,timestamp,1,,position_lat,1,,position_long,1,,distance,1,,altitude,1,,speed,1,,unknown,1,,unknown,1,,heart_rate,1,,cadence,1,,temperature,1,,fractional_cadence,1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218215",s,position_lat,"446375435",semicircles,position_long,"-1456338541",semicircles,distance,"6.95",m,altitude,"-17.600000000000023",m,speed,"6.951",m/s,unknown,"2412",,unknown,"104",,heart_rate,"101",bpm,cadence,"69",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.600000000000023",m,enhanced_speed,"6.951",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Definition,13,hrv,time,5,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.594|0.588|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.588|0.588|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Definition,14,unknown,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,14,unknown,unknown,"866218217",,unknown,"3898",,unknown,"76",,unknown,"18",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.582|0.582|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.582|65535|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218220",s,position_lat,"446379221",semicircles,position_long,"-1456338592",semicircles,distance,"41.58",m,altitude,"-17.80000000000001",m,speed,"6.867",m/s,unknown,"2412",,unknown,"105",,heart_rate,"104",bpm,cadence,"68",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.80000000000001",m,enhanced_speed,"6.867",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.576|0.576|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.576|0.576|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218222",s,position_lat,"446380702",semicircles,position_long,"-1456338600",semicircles,distance,"55.26",m,altitude,"-17.80000000000001",m,speed,"6.793",m/s,unknown,"2412",,unknown,"106",,heart_rate,"108",bpm,cadence,"68",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.80000000000001",m,enhanced_speed,"6.793",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.555|0.555|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218223",s,position_lat,"446381439",semicircles,position_long,"-1456338509",semicircles,distance,"62.11",m,altitude,"-17.600000000000023",m,speed,"6.858",m/s,unknown,"2413",,unknown,"106",,heart_rate,"111",bpm,cadence,"67",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.600000000000023",m,enhanced_speed,"6.858",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.54|0.54|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218224",s,position_lat,"446382175",semicircles,position_long,"-1456338439",semicircles,distance,"68.95",m,altitude,"-17.600000000000023",m,speed,"6.839",m/s,unknown,"2413",,unknown,"106",,heart_rate,"114",bpm,cadence,"68",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.600000000000023",m,enhanced_speed,"6.839",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.525|65535|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218225",s,position_lat,"446382913",semicircles,position_long,"-1456338404",semicircles,distance,"75.77",m,altitude,"-17.80000000000001",m,speed,"6.821",m/s,unknown,"2413",,unknown,"107",,heart_rate,"114",bpm,cadence,"67",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.80000000000001",m,enhanced_speed,"6.821",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.525|0.525|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218234",s,position_lat,"446389555",semicircles,position_long,"-1456338298",semicircles,distance,"137.8",m,altitude,"-17.399999999999977",m,speed,"6.979",m/s,unknown,"2415",,unknown,"108",,heart_rate,"115",bpm,cadence,"68",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.399999999999977",m,enhanced_speed,"6.979",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|65535|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.517|0.517|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.517|0.517|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.513|0.513|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218243",s,position_lat,"446396367",semicircles,position_long,"-1456338184",semicircles,distance,"200.84",m,altitude,"-17.19999999999999",m,speed,"7.101",m/s,unknown,"2417",,unknown,"111",,heart_rate,"118",bpm,cadence,"70",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.19999999999999",m,enhanced_speed,"7.101",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.508|0.508|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218244",s,position_lat,"446397136",semicircles,position_long,"-1456338169",semicircles,distance,"208.04",m,altitude,"-17.19999999999999",m,speed,"7.194",m/s,unknown,"2417",,unknown,"111",,heart_rate,"118",bpm,cadence,"70",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.19999999999999",m,enhanced_speed,"7.194",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.508|0.508|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218253",s,position_lat,"446403989",semicircles,position_long,"-1456338084",semicircles,distance,"270.99",m,altitude,"-17.19999999999999",m,speed,"6.961",m/s,unknown,"2418",,unknown,"114",,heart_rate,"119",bpm,cadence,"68",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.19999999999999",m,enhanced_speed,"6.961",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218262",s,position_lat,"446410804",semicircles,position_long,"-1456338040",semicircles,distance,"333.88",m,altitude,"-17.19999999999999",m,speed,"6.895",m/s,unknown,"2419",,unknown,"115",,heart_rate,"119",bpm,cadence,"68",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.19999999999999",m,enhanced_speed,"6.895",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|65535|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.5|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.5|0.495|0.495|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.495|65535|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.99|65535|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.99|0.495|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.495|0.495|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218271",s,position_lat,"446417518",semicircles,position_long,"-1456338079",semicircles,distance,"395.95",m,altitude,"-17.600000000000023",m,speed,"6.961",m/s,unknown,"2418",,unknown,"119",,heart_rate,"121",bpm,cadence,"69",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.600000000000023",m,enhanced_speed,"6.961",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.495|0.495|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218273",s,position_lat,"446419029",semicircles,position_long,"-1456338102",semicircles,distance,"409.82",m,altitude,"-17.80000000000001",m,speed,"6.914",m/s,unknown,"2418",,unknown,"120",,heart_rate,"118",bpm,cadence,"69",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.80000000000001",m,enhanced_speed,"6.914",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.508|0.508|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.517|0.517|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.517|0.517|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218276",s,position_lat,"446421280",semicircles,position_long,"-1456338109",semicircles,distance,"430.39",m,altitude,"-17.80000000000001",m,speed,"6.849",m/s,unknown,"2418",,unknown,"120",,heart_rate,"115",bpm,cadence,"68",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.80000000000001",m,enhanced_speed,"6.849",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|65535|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Definition,15,unknown,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,15,unknown,unknown,"866218279",,unknown,"83486",,unknown,"83486",,unknown,"576353",,unknown,"546495",,unknown,"0",,unknown,"4",,unknown,"4423",,unknown,"0",,unknown,"0",,unknown,"0",,unknown,"115",,unknown,"0",,unknown,"0",,unknown,"2",,unknown,"48",,unknown,"0",,unknown,"0",,unknown,"100",,unknown,"0",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,2,event,timestamp,"866218279",s,data,"4",,event,"38",,event_type,"3",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218280",s,position_lat,"446424211",semicircles,position_long,"-1456338151",semicircles,distance,"457.12",m,altitude,"-17.80000000000001",m,speed,"6.653",m/s,unknown,"2418",,unknown,"120",,heart_rate,"115",bpm,cadence,"66",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.80000000000001",m,enhanced_speed,"6.653",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,2,event,timestamp,"866218280",s,timer_trigger,"0",,event,"0",,event_type,"4",,event_group,"0",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,3,device_info,timestamp,"866218280",s,serial_number,"3932942223",,manufacturer,"1",,garmin_product,"2530",,software_version,"7.0",,device_index,"0",,source_type,"5",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,3,device_info,timestamp,"866218280",s,manufacturer,"1",,garmin_product,"2530",,software_version,"7.0",,device_index,"1",,device_type,"4",,source_type,"5",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,3,device_info,timestamp,"866218280",s,manufacturer,"1",,garmin_product,"1621",,software_version,"4.3",,device_index,"2",,device_type,"0",,source_type,"5",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,3,device_info,timestamp,"866218280",s,serial_number,"3945849289",,unknown,"95581",,unknown,"8942",,unknown,"24699337",,manufacturer,"1",,garmin_product,"255",,software_version,"154.0",,device_index,"3",,antplus_device_type,"120",,unknown,"91",,ant_network,"1",,source_type,"1",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,3,device_info,timestamp,"866218280",s,unknown,"117102",,unknown,"9011",,unknown,"24720989",,device_index,"4",,antplus_device_type,"121",,unknown,"93",,ant_network,"1",,source_type,"1",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,3,device_info,timestamp,"866218280",s,manufacturer,"0",,product,"0",,software_version,"0.0",,device_index,"5",,device_type,"7",,source_type,"5",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Definition,0,lap,timestamp,1,,start_time,1,,start_position_lat,1,,start_position_long,1,,end_position_lat,1,,end_position_long,1,,total_elapsed_time,1,,total_timer_time,1,,total_distance,1,,total_cycles,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,total_work,1,,time_in_hr_zone,7,,time_in_power_zone,10,,time_standing,1,,avg_left_power_phase,4,,avg_left_power_phase_peak,4,,avg_right_power_phase,4,,avg_right_power_phase_peak,4,,avg_power_position,2,,max_power_position,2,,message_index,1,,total_calories,1,,total_fat_calories,1,,avg_speed,1,,max_speed,1,,avg_power,1,,max_power,1,,total_ascent,1,,total_descent,1,,normalized_power,1,,left_right_balance,1,,unknown,1,,unknown,1,,stand_count,1,,event,1,,event_type,1,,avg_heart_rate,1,,max_heart_rate,1,,avg_cadence,1,,max_cadence,1,,intensity,1,,lap_trigger,1,,sport,1,,event_group,1,,sub_sport,1,,unknown,1,,avg_fractional_cadence,1,,max_fractional_cadence,1,,total_fractional_cycles,1,,avg_left_torque_effectiveness,1,,avg_right_torque_effectiveness,1,,avg_left_pedal_smoothness,1,,avg_right_pedal_smoothness,1,,avg_combined_pedal_smoothness,1,,avg_left_pco,1,,avg_right_pco,1,,avg_cadence_position,2,,max_cadence_position,2,,
Data,0,lap,timestamp,"866218282",s,start_time,"866218215",,start_position_lat,"446375435",semicircles,start_position_long,"-1456338541",semicircles,end_position_lat,"446424211",semicircles,end_position_long,"-1456338151",semicircles,total_elapsed_time,"64.524",s,total_timer_time,"64.524",s,total_distance,"457.12",m,total_cycles,"75",cycles,unknown,"446424211",,unknown,"-1456338024",,unknown,"446375435",,unknown,"-1456338632",,time_in_hr_zone,"0.0|7.401|57.123|0.0|0.0|0.0|0.0",s,message_index,"0",,total_calories,"8",kcal,total_fat_calories,"0",kcal,avg_speed,"7.084",m/s,max_speed,"7.194",m/s,total_ascent,"0",m,total_descent,"0",m,event,"9",,event_type,"1",,avg_heart_rate,"116",bpm,max_heart_rate,"121",bpm,avg_cadence,"68",rpm,max_cadence,"71",rpm,lap_trigger,"7",,sport,"2",,sub_sport,"48",,avg_fractional_cadence,"0.3203125",rpm,max_fractional_cadence,"0.0",rpm,enhanced_avg_speed,"7.084",m/s,enhanced_max_speed,"7.194",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Definition,1,session,timestamp,1,,start_time,1,,start_position_lat,1,,start_position_long,1,,total_elapsed_time,1,,total_timer_time,1,,total_distance,1,,total_cycles,1,,nec_lat,1,,nec_long,1,,swc_lat,1,,swc_long,1,,total_work,1,,time_in_hr_zone,7,,time_in_power_zone,10,,unknown,16,,time_standing,1,,avg_left_power_phase,4,,avg_left_power_phase_peak,4,,avg_right_power_phase,4,,avg_right_power_phase_peak,4,,avg_power_position,2,,max_power_position,2,,message_index,1,,total_calories,1,,total_fat_calories,1,,avg_speed,1,,max_speed,1,,avg_power,1,,max_power,1,,total_ascent,1,,total_descent,1,,first_lap_index,1,,num_laps,1,,normalized_power,1,,training_stress_score,1,,intensity_factor,1,,left_right_balance,1,,threshold_power,1,,unknown,1,,unknown,1,,unknown,1,,stand_count,1,,event,1,,event_type,1,,sport,1,,sub_sport,1,,avg_heart_rate,1,,max_heart_rate,1,,avg_cadence,1,,max_cadence,1,,event_group,1,,trigger,1,,unknown,1,,avg_fractional_cadence,1,,max_fractional_cadence,1,,total_fractional_cycles,1,,avg_left_torque_effectiveness,1,,avg_right_torque_effectiveness,1,,avg_left_pedal_smoothness,1,,avg_right_pedal_smoothness,1,,avg_combined_pedal_smoothness,1,,unknown,1,,sport_index,1,,avg_left_pco,1,,avg_right_pco,1,,avg_cadence_position,2,,max_cadence_position,2,,
Data,1,session,timestamp,"866218282",s,start_time,"866218215",,start_position_lat,"446375435",semicircles,start_position_long,"-1456338541",semicircles,total_elapsed_time,"64.524",s,total_timer_time,"64.524",s,total_distance,"457.12",m,total_cycles,"75",cycles,nec_lat,"446424211",semicircles,nec_long,"-1456338024",semicircles,swc_lat,"446375435",semicircles,swc_long,"-1456338632",semicircles,time_in_hr_zone,"0.0|7.401|57.123|0.0|0.0|0.0|0.0",s,unknown,"Commute",,message_index,"0",,total_calories,"8",kcal,total_fat_calories,"0",kcal,avg_speed,"7.084",m/s,max_speed,"7.194",m/s,total_ascent,"0",m,total_descent,"0",m,first_lap_index,"0",,num_laps,"1",,unknown,"0",,event,"9",,event_type,"1",,sport,"2",,sub_sport,"48",,avg_heart_rate,"116",bpm,max_heart_rate,"121",bpm,avg_cadence,"68",rpm,max_cadence,"71",rpm,trigger,"0",,unknown,"0",,avg_fractional_cadence,"0.3203125",rpm,max_fractional_cadence,"0.0",rpm,enhanced_avg_speed,"7.084",m/s,enhanced_max_speed,"7.194",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Definition,4,activity,timestamp,1,,total_timer_time,1,,local_timestamp,1,,num_sessions,1,,type,1,,event,1,,event_type,1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,4,activity,timestamp,"866218282",,total_timer_time,"64.524",s,local_timestamp,"866193082",,num_sessions,"1",,type,"0",,event,"26",,event_type,"1",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,


file_name,package,minor,major,total,ownership,num_of_bugs
Direct16.java,org.apache.lucene.util.packed,0.0,1.2,2,0.5,0
PhraseQuery.java,org.apache.lucene.search,0.0,2.0,3,0.54,24
FreqProxFields.java,org.apache.lucene.index,0.0,2.4,3,0.7000000000000001,6
DocValuesProducer.java,org.apache.lucene.codecs,0.0,1.2,2,0.8333333333333334,0
NumericRangeQuery.java,org.apache.lucene.search,0.0,2.4,3,0.3333333333333333,3
CompressingTermVectorsWriter.java,org.apache.lucene.codecs.compressing,0.0,3.5999999999999996,4,0.7777777777777778,0
IndexFileNames.java,org.apache.lucene.index,0.0,2.4,3,0.6,0
Filter.java,org.apache.lucene.search,0.0,0.0,1,1.0,5
SpanTermQuery.java,org.apache.lucene.search.spans,0.0,2.4,3,0.3,9
NumericTokenStream.java,org.apache.lucene.analysis,0.0,2.4,3,0.5,0
Lucene50NormsFormat.java,org.apache.lucene.codecs.lucene50,0.0,1.2,2,0.75,1
BlockTreeTermsReader.java,org.apache.lucene.codecs.blocktree,0.0,4.8,5,0.4210526315789473,0
SpanMultiTermQueryWrapper.java,org.apache.lucene.search.spans,0.0,1.2,2,0.6666666666666666,0
StoredFieldsReader.java,org.apache.lucene.codecs,0.0,2.4,3,0.5,0
BufferedChecksum.java,org.apache.lucene.store,0.0,0.0,1,1.0,0
SegmentCommitInfo.java,org.apache.lucene.index,0.0,2.4,3,0.5,4
Field.java,org.apache.lucene.document,0.0,2.4,3,0.6666666666666666,1
SlowCompositeReaderWrapper.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.5454545454545454,2
PackedTokenAttributeImpl.java,org.apache.lucene.analysis.tokenattributes,0.0,0.0,1,1.0,0
StatePair.java,org.apache.lucene.util.automaton,0.0,0.0,1,1.0,0
BufferedUpdatesStream.java,org.apache.lucene.index,0.0,4.8,5,0.3636363636363636,3
SimpleFSLockFactory.java,org.apache.lucene.store,0.0,2.4,3,0.4285714285714285,4
DelegatingAnalyzerWrapper.java,org.apache.lucene.analysis,0.0,0.0,1,1.0,0
MonotonicLongValues.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
Constants.java,org.apache.lucene.util,0.0,1.2,2,0.6,1
Operations.java,org.apache.lucene.util.automaton,0.0,2.4,3,0.75,0
ScoreCachingWrappingScorer.java,org.apache.lucene.search,0.0,2.4,3,0.3333333333333333,0
MinimizationOperations.java,org.apache.lucene.util.automaton,0.0,1.2,2,0.8,0
SortedNumericSortField.java,org.apache.lucene.search,0.0,1.2,2,0.5,1
FieldReader.java,org.apache.lucene.codecs.blocktree,0.0,3.5999999999999996,4,0.3846153846153846,0
SortedDocValuesWriter.java,org.apache.lucene.index,0.0,1.2,2,0.5,0
TwoPhaseCommitTool.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
AttributeFactory.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
CachingCollector.java,org.apache.lucene.search,0.0,2.4,3,0.6,1
Outputs.java,org.apache.lucene.util.fst,0.0,2.4,3,0.5,0
PackedReaderIterator.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
ForwardBytesReader.java,org.apache.lucene.util.fst,0.0,0.0,1,1.0,0
MergedPrefixCodedTermsIterator.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
MutableValueLong.java,org.apache.lucene.util.mutable,0.0,0.0,1,1.0,0
IndexDocument.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
UpgradeIndexMergePolicy.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.4,0
DirectPacked64SingleBlockReader.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
FieldsProducer.java,org.apache.lucene.codecs,0.0,1.2,2,0.6666666666666666,0
Tokenizer.java,org.apache.lucene.analysis,0.0,1.2,2,0.6666666666666666,0
CompressingTermVectorsReader.java,org.apache.lucene.codecs.compressing,0.0,1.2,2,0.78,7
CheckIndex.java,org.apache.lucene.index,3.0,2.0,6,0.3648648648648648,18
FieldInfosFormat.java,org.apache.lucene.codecs,0.0,0.0,1,1.0,0
SortedSetDocValues.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
Version.java,org.apache.lucene.util,0.0,6.0,6,0.2777777777777778,2
TrackingIndexWriter.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,0
SparseFixedBitSet.java,org.apache.lucene.util,0.0,1.2,2,0.8,1
ArrayUtil.java,org.apache.lucene.util,0.0,1.2,2,0.6666666666666666,0
NoLockFactory.java,org.apache.lucene.store,0.0,1.2,2,0.5,2
IndexOutput.java,org.apache.lucene.store,0.0,1.2,2,0.5,0
BinaryDocValuesWriter.java,org.apache.lucene.index,0.0,2.4,3,0.5,0
DisjunctionScorer.java,org.apache.lucene.search,0.0,0.0,1,1.0,2
LongBitSet.java,org.apache.lucene.util,0.0,1.2,2,0.6666666666666666,4
SegmentTermsEnumFrame.java,org.apache.lucene.codecs.blocktree,0.0,1.2,2,0.875,0
Accountable.java,org.apache.lucene.util,0.0,1.2,2,0.6,0
EliasFanoDecoder.java,org.apache.lucene.util.packed,0.0,1.2,2,0.5,0
UnicodeUtil.java,org.apache.lucene.util,0.0,3.5999999999999996,4,0.3333333333333333,0
DefaultSimilarity.java,org.apache.lucene.search.similarities,0.0,0.0,1,1.0,2
RAMFile.java,org.apache.lucene.store,0.0,1.2,2,0.75,0
DocValuesDocIdSet.java,org.apache.lucene.search,0.0,1.2,2,0.8571428571428571,0
LogMergePolicy.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.3333333333333333,0
CompressingTermVectorsFormat.java,org.apache.lucene.codecs.compressing,0.0,0.0,1,1.0,0
MinShouldMatchSumScorer.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
IndexReader.java,org.apache.lucene.index,0.0,4.8,5,0.2857142857142857,0
CharsRefBuilder.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
MergedIterator.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
PackedInts.java,org.apache.lucene.util.packed,0.0,1.2,2,0.5454545454545454,1
IndexWriter.java,org.apache.lucene.index,6.0,2.0,9,0.41,24
StringHelper.java,org.apache.lucene.util,0.0,3.5999999999999996,4,0.6,2
PositiveScoresOnlyCollector.java,org.apache.lucene.search,0.0,1.2,2,0.5,0
MultiLevelSkipListWriter.java,org.apache.lucene.codecs,0.0,0.0,1,1.0,0
DocTermOrdsRangeFilter.java,org.apache.lucene.search,0.0,1.2,2,0.6666666666666666,0
Lucene50StoredFieldsFormat.java,org.apache.lucene.codecs.lucene50,0.0,0.0,1,1.0,1
LogByteSizeMergePolicy.java,org.apache.lucene.index,0.0,0.0,1,1.0,2
SetOnce.java,org.apache.lucene.util,0.0,1.2,2,0.5,0
IntsRef.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
MultiSimilarity.java,org.apache.lucene.search.similarities,0.0,0.0,1,1.0,2
SearcherManager.java,org.apache.lucene.search,0.0,1.2,2,0.6666666666666666,0
FlushPolicy.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
TermContext.java,org.apache.lucene.index,0.0,1.2,2,0.5,4
ScoringRewrite.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
TokenStream.java,org.apache.lucene.analysis,0.0,1.2,2,0.6666666666666666,1
DirectPackedReader.java,org.apache.lucene.util.packed,0.0,1.2,2,0.6666666666666666,0
SegmentCoreReaders.java,org.apache.lucene.index,0.0,4.8,5,0.625,0
LongValues.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
RandomAccessOrds.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
FieldTermIterator.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
IndexableFieldType.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
FilterLeafCollector.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
ReqOptSumScorer.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
FSDirectory.java,org.apache.lucene.store,2.4,2.4,5,0.4285714285714285,4
FilterLeafReader.java,org.apache.lucene.index,0.0,2.4,3,0.36,6
IndexSearcher.java,org.apache.lucene.search,0.0,3.5999999999999996,4,0.3636363636363636,5
BulkScorer.java,org.apache.lucene.search,0.0,1.2,2,0.6666666666666666,0
NormsConsumer.java,org.apache.lucene.codecs,0.0,2.4,3,0.5,0
BytesRefFSTEnum.java,org.apache.lucene.util.fst,0.0,0.0,1,1.0,0
SortedSetDocValuesWriter.java,org.apache.lucene.index,0.0,2.4,3,0.3333333333333333,0
QueryBuilder.java,org.apache.lucene.util,0.0,1.2,2,0.5,2
WildcardQuery.java,org.apache.lucene.search,0.0,2.4,3,0.6666666666666666,0
Directory.java,org.apache.lucene.store,0.0,3.5999999999999996,4,0.7,4
Packed64.java,org.apache.lucene.util.packed,0.0,1.2,2,0.6666666666666666,0
ControlledRealTimeReopenThread.java,org.apache.lucene.search,0.0,1.2,2,0.5,0
SortedNumericDocValuesField.java,org.apache.lucene.document,0.0,1.2,2,0.6666666666666666,0
MergePolicy.java,org.apache.lucene.index,0.0,6.0,6,0.4666666666666667,0
LogDocMergePolicy.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
CharsRef.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
NodeHash.java,org.apache.lucene.util.fst,0.0,1.2,2,0.5,0
Util.java,org.apache.lucene.util.fst,0.0,3.5999999999999996,4,0.4,2
MappingMultiDocsAndPositionsEnum.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
Lucene50CompoundReader.java,org.apache.lucene.codecs.lucene50,0.0,1.2,2,0.8,2
ParallelLeafReader.java,org.apache.lucene.index,0.0,2.4,3,0.5,0
BinaryDocValuesField.java,org.apache.lucene.document,0.0,0.0,1,1.0,0
Lucene50DocValuesProducer.java,org.apache.lucene.codecs.lucene50,0.0,1.2,2,0.75,0
PositiveIntOutputs.java,org.apache.lucene.util.fst,0.0,0.0,1,1.0,0
PersistentSnapshotDeletionPolicy.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,0
AlreadyClosedException.java,org.apache.lucene.store,0.0,0.0,1,1.0,0
NumericUtils.java,org.apache.lucene.util,0.0,3.5999999999999996,4,0.5714285714285714,0
IndexFormatTooNewException.java,org.apache.lucene.index,0.0,1.2,2,0.5,0
ParallelCompositeReader.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
AttributeSource.java,org.apache.lucene.util,0.0,2.4,3,0.4285714285714285,0
Term.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
IntsRefBuilder.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
FilterCodec.java,org.apache.lucene.codecs,0.0,0.0,1,1.0,0
CompoundFormat.java,org.apache.lucene.codecs,0.0,1.2,2,0.8333333333333334,0
OfflineSorter.java,org.apache.lucene.util,0.0,3.5999999999999996,4,0.5714285714285714,0
LockVerifyServer.java,org.apache.lucene.store,0.0,0.0,1,1.0,0
LeafReader.java,org.apache.lucene.index,0.0,2.4,3,0.5,5
NumericDocValuesField.java,org.apache.lucene.document,0.0,0.0,1,1.0,0
BufferedChecksumIndexInput.java,org.apache.lucene.store,0.0,1.2,2,0.6666666666666666,0
BitUtil.java,org.apache.lucene.util,0.0,1.2,2,0.6666666666666666,0
TopTermsRewrite.java,org.apache.lucene.search,0.0,1.2,2,0.5,0
MultiDocsAndPositionsEnum.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
SpanNearQuery.java,org.apache.lucene.search.spans,0.0,2.4,3,0.5,2
FilterSpans.java,org.apache.lucene.search.spans,0.0,0.0,1,0.9,8
DocsEnum.java,org.apache.lucene.index,0.0,0.0,1,1.0,1
RegexpQuery.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
StrictStringTokenizer.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
IntsRefFSTEnum.java,org.apache.lucene.util.fst,0.0,0.0,1,1.0,0
CharSequenceOutputs.java,org.apache.lucene.util.fst,0.0,0.0,1,1.0,0
TermQuery.java,org.apache.lucene.search,0.0,1.0,2,0.45,10
NIOFSDirectory.java,org.apache.lucene.store,0.0,1.2,2,0.6666666666666666,2
FieldValueFilter.java,org.apache.lucene.search,0.0,2.4,3,0.5,0
AutomatonProvider.java,org.apache.lucene.util.automaton,0.0,0.0,1,1.0,0
PriorityQueue.java,org.apache.lucene.util,0.0,1.2,2,0.75,0
FuzzyQuery.java,org.apache.lucene.search,0.0,1.2,2,0.6666666666666666,0
Lucene50NormsProducer.java,org.apache.lucene.codecs.lucene50,0.0,2.4,3,0.7142857142857143,0
Direct64.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
FakeScorer.java,org.apache.lucene.search,0.0,1.2,2,0.6666666666666666,0
MatchAllDocsQuery.java,org.apache.lucene.search,0.0,2.4,3,0.3333333333333333,3
SpanPositionCheckQuery.java,org.apache.lucene.search.spans,0.0,1.0,2,0.45,10
MultiCollector.java,org.apache.lucene.search,0.0,1.2,2,0.6666666666666666,1
RamUsageEstimator.java,org.apache.lucene.util,0.0,1.2,2,0.625,1
SimpleFSDirectory.java,org.apache.lucene.store,0.0,1.2,2,0.6,2
PackedLongValues.java,org.apache.lucene.util.packed,0.0,1.2,2,0.6666666666666666,0
DocValuesRewriteMethod.java,org.apache.lucene.search,0.0,1.2,2,0.5,1
InfoStream.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
IndexDeletionPolicy.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
NoOutputs.java,org.apache.lucene.util.fst,0.0,1.2,2,0.5,0
PerFieldPostingsFormat.java,org.apache.lucene.codecs.perfield,0.0,3.5999999999999996,4,0.5454545454545454,0
SpanNotQuery.java,org.apache.lucene.search.spans,0.0,1.2,2,0.6,6
SpanWeight.java,org.apache.lucene.search.spans,0.0,2.4,3,0.3,9
BlockPackedReader.java,org.apache.lucene.util.packed,0.0,1.2,2,0.5,0
FuzzyTermsEnum.java,org.apache.lucene.search,0.0,2.4,3,0.7142857142857143,0
DoubleDocValuesField.java,org.apache.lucene.document,0.0,1.2,2,0.5,0
Lucene50SkipReader.java,org.apache.lucene.codecs.lucene50,0.0,1.2,2,0.5,0
CompressionTools.java,org.apache.lucene.document,0.0,0.0,1,1.0,0
Automata.java,org.apache.lucene.util.automaton,0.0,1.2,2,0.6666666666666666,0
PostingsReaderBase.java,org.apache.lucene.codecs,0.0,2.4,3,0.4,0
TotalHitCountCollector.java,org.apache.lucene.search,0.0,0.0,1,1.0,1
SegmentWriteState.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,0
BooleanQuery.java,org.apache.lucene.search,0.0,4.8,5,0.4235294117647058,7
Weight.java,org.apache.lucene.search,0.0,2.4,3,0.6363636363636364,1
SortField.java,org.apache.lucene.search,0.0,2.4,3,0.5,0
ByteRunAutomaton.java,org.apache.lucene.util.automaton,0.0,0.0,1,1.0,0
DocumentsWriterFlushQueue.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,0
Direct8.java,org.apache.lucene.util.packed,0.0,1.2,2,0.5,0
PrintStreamInfoStream.java,org.apache.lucene.util,0.0,0.0,1,0.9,6
MultiTermsEnum.java,org.apache.lucene.index,0.0,0.0,1,1.0,2
SearcherLifetimeManager.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
MultiDocValues.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.4736842105263157,0
SpanOrQuery.java,org.apache.lucene.search.spans,0.0,1.2,2,0.6666666666666666,4
PostingsFormat.java,org.apache.lucene.codecs,0.0,0.0,1,1.0,2
ByteSequenceOutputs.java,org.apache.lucene.util.fst,0.0,2.4,3,0.6,0
SimpleFieldComparator.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
DocumentsWriterFlushControl.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.3999999999999999,6
ReaderUtil.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
DocumentsWriterPerThread.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.5,6
DataOutput.java,org.apache.lucene.store,0.0,1.2,2,0.5,3
Token.java,org.apache.lucene.analysis,0.0,1.2,2,0.6666666666666666,1
DirectReader.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
PagedBytes.java,org.apache.lucene.util,0.0,1.2,2,0.5714285714285714,0
DisjunctionMaxQuery.java,org.apache.lucene.search,0.0,2.4,3,0.5,5
Lucene50PostingsFormat.java,org.apache.lucene.codecs.lucene50,0.0,1.2,2,0.6,1
SortedNumericDocValuesWriter.java,org.apache.lucene.index,0.0,1.2,2,0.5,0
TermCollectingRewrite.java,org.apache.lucene.search,0.0,1.2,2,0.5,0
RegExp.java,org.apache.lucene.util.automaton,0.0,1.2,2,0.6666666666666666,1
TextField.java,org.apache.lucene.document,0.0,0.0,1,1.0,0
FieldInfo.java,org.apache.lucene.index,0.0,1.2,2,0.6428571428571429,0
DefaultIndexingChain.java,org.apache.lucene.index,1.2,1.2,3,0.5294117647058824,3
DocValues.java,org.apache.lucene.index,0.0,2.4,3,0.625,0
Automaton.java,org.apache.lucene.util.automaton,0.0,1.2,2,0.8461538461538461,0
CharacterRunAutomaton.java,org.apache.lucene.util.automaton,0.0,0.0,1,1.0,0
NearSpansOrdered.java,org.apache.lucene.search.spans,0.0,2.4,3,0.3333333333333333,4
NumericRangeFilter.java,org.apache.lucene.search,0.0,1.2,2,0.5,0
ConcurrentMergeScheduler.java,org.apache.lucene.index,0.0,2.4,3,0.7857142857142857,5
Lucene50SegmentInfoFormat.java,org.apache.lucene.codecs.lucene50,0.0,1.2,2,0.7777777777777778,1
ConjunctionScorer.java,org.apache.lucene.search,0.0,0.0,1,1.0,2
SortedSetSelector.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
TermVectorsConsumer.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,0
MonotonicBlockPackedWriter.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
OrdTermState.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
CompositeReader.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
TieredMergePolicy.java,org.apache.lucene.index,0.0,4.8,5,0.4444444444444444,0
Scorer.java,org.apache.lucene.search,0.0,1.2,2,0.5,0
DocValuesTermsFilter.java,org.apache.lucene.search,0.0,1.2,2,0.5,1
QueryRescorer.java,org.apache.lucene.search,0.0,2.4,3,0.5,3
NamedSPILoader.java,org.apache.lucene.util,0.0,1.2,2,0.5,2
Sort.java,org.apache.lucene.search,0.0,1.2,2,0.5,1
DocValuesType.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,0
SloppyMath.java,org.apache.lucene.util,0.0,1.2,2,0.5,0
Codec.java,org.apache.lucene.codecs,0.0,0.0,1,1.0,2
Rescorer.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
TopFieldCollector.java,org.apache.lucene.search,0.0,3.5999999999999996,4,0.5,2
NormsProducer.java,org.apache.lucene.codecs,0.0,0.0,1,1.0,0
SpanQuery.java,org.apache.lucene.search.spans,0.0,1.2,2,0.5,4
MutableValueDate.java,org.apache.lucene.util.mutable,0.0,0.0,1,1.0,0
TermVectorsConsumerPerField.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
MutableValueFloat.java,org.apache.lucene.util.mutable,0.0,0.0,1,1.0,0
MultiTermQuery.java,org.apache.lucene.search,0.0,1.2,2,0.5,2
SortedDocValuesTermsEnum.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,0
IntField.java,org.apache.lucene.document,0.0,2.4,3,0.6,0
MatchingReaders.java,org.apache.lucene.codecs.compressing,0.0,2.4,3,0.6,0
PayloadTermQuery.java,org.apache.lucene.search.payloads,0.0,1.2,2,0.45,8
LevenshteinAutomata.java,org.apache.lucene.util.automaton,0.0,1.2,2,0.8571428571428571,1
StandardDirectoryReader.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.4444444444444444,4
MultiLevelSkipListReader.java,org.apache.lucene.codecs,0.0,0.0,1,1.0,0
DocumentsWriter.java,org.apache.lucene.index,0.0,3.0,4,0.4235294117647058,14
RoaringDocIdSet.java,org.apache.lucene.util,0.0,1.2,2,0.8333333333333334,0
FilterCodecReader.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
DocumentsWriterStallControl.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,2
MMapDirectory.java,org.apache.lucene.store,0.0,2.4,3,0.5,2
MergeRateLimiter.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
BytesRefArray.java,org.apache.lucene.util,0.0,1.2,2,0.5,0
TermVectorsWriter.java,org.apache.lucene.codecs,0.0,4.8,5,0.2857142857142857,2
PayloadSpanUtil.java,org.apache.lucene.search.payloads,0.0,1.2,2,0.5,2
MutableValueInt.java,org.apache.lucene.util.mutable,0.0,0.0,1,1.0,0
Lucene50PostingsReader.java,org.apache.lucene.codecs.lucene50,0.0,1.2,2,0.75,9
Analyzer.java,org.apache.lucene.analysis,0.0,2.4,3,0.4,0
DocIdSet.java,org.apache.lucene.search,0.0,2.4,3,0.5,0
FilterDirectory.java,org.apache.lucene.store,0.0,3.5999999999999996,4,0.5,2
TermRangeFilter.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
FreqProxTermsWriter.java,org.apache.lucene.index,0.0,1.2,2,0.8888888888888888,0
CharTermAttribute.java,org.apache.lucene.analysis.tokenattributes,0.0,0.0,1,1.0,0
DocConsumer.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
FieldsConsumer.java,org.apache.lucene.codecs,0.0,2.4,3,0.5,0
CompressingStoredFieldsWriter.java,org.apache.lucene.codecs.compressing,1.2,2.4,4,0.6666666666666666,0
NormValuesWriter.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
FilterScorer.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
SortedSetDocValuesField.java,org.apache.lucene.document,0.0,0.0,1,1.0,0
CachingWrapperFilter.java,org.apache.lucene.search,0.0,2.4,3,0.6923076923076923,0
Terms.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.4285714285714285,0
FlushByRamOrCountsPolicy.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,0
FSTEnum.java,org.apache.lucene.util.fst,0.0,0.0,1,1.0,0
FieldInfos.java,org.apache.lucene.index,0.0,1.2,2,0.7272727272727273,0
QueryWrapperFilter.java,org.apache.lucene.search,0.0,2.4,3,0.3333333333333333,3
Lucene50FieldInfosFormat.java,org.apache.lucene.codecs.lucene50,0.0,1.2,2,0.6363636363636364,1
EliasFanoEncoder.java,org.apache.lucene.util.packed,0.0,1.2,2,0.5,0
LockObtainFailedException.java,org.apache.lucene.store,0.0,0.0,1,1.0,2
ByteBufferIndexInput.java,org.apache.lucene.store,0.0,3.5999999999999996,4,0.4285714285714285,4
SegmentDocValues.java,org.apache.lucene.index,0.0,2.4,3,0.6,0
BooleanScorer.java,org.apache.lucene.search,0.0,2.4,3,0.6666666666666666,0
DocumentsWriterPerThreadPool.java,org.apache.lucene.index,0.0,0.0,1,0.9,6
PrefixQuery.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
ExactPhraseScorer.java,org.apache.lucene.search,0.0,0.0,1,1.0,1
RAMInputStream.java,org.apache.lucene.store,0.0,1.2,2,0.5,2
PackedWriter.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
ConstantScoreQuery.java,org.apache.lucene.search,0.0,2.4,3,0.45,7
SlowCodecReaderWrapper.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
Packed16ThreeBlocks.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
SegmentInfos.java,org.apache.lucene.index,1.0,1.0,3,0.5571428571428572,17
CompressionMode.java,org.apache.lucene.codecs.compressing,0.0,1.2,2,0.8333333333333334,0
AttributeImpl.java,org.apache.lucene.util,0.0,1.2,2,0.6666666666666666,0
SortRescorer.java,org.apache.lucene.search,0.0,2.4,3,0.6,2
LongsRef.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
Accountables.java,org.apache.lucene.util,0.0,2.4,3,0.4,0
PairOutputs.java,org.apache.lucene.util.fst,0.0,2.4,3,0.7142857142857143,0
IndexFormatTooOldException.java,org.apache.lucene.index,0.0,1.2,2,0.5,0
Explanation.java,org.apache.lucene.search,0.0,0.0,1,0.9,6
IndexUpgrader.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.2857142857142857,3
MultiDocsEnum.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
RunAutomaton.java,org.apache.lucene.util.automaton,0.0,1.2,2,0.8571428571428571,0
Direct32.java,org.apache.lucene.util.packed,0.0,1.2,2,0.5,0
DataInput.java,org.apache.lucene.store,0.0,2.4,3,0.5,0
IndexReaderContext.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
TermToBytesRefAttribute.java,org.apache.lucene.analysis.tokenattributes,0.0,0.0,1,1.0,0
DisjunctionSumScorer.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
IndexInput.java,org.apache.lucene.store,0.0,0.0,1,1.0,2
CoalescedUpdates.java,org.apache.lucene.index,0.0,2.4,3,0.5,0
BufferedIndexInput.java,org.apache.lucene.store,0.0,1.2,2,0.75,0
RateLimiter.java,org.apache.lucene.store,0.0,1.2,2,0.8,0
RAMOutputStream.java,org.apache.lucene.store,0.0,3.5999999999999996,4,0.5833333333333334,0
MutableValueDouble.java,org.apache.lucene.util.mutable,0.0,0.0,1,1.0,0
CorruptIndexException.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.25,0
LockReleaseFailedException.java,org.apache.lucene.store,0.0,1.2,2,0.5,0
TimeLimitingCollector.java,org.apache.lucene.search,0.0,2.4,3,0.3333333333333333,4
RAMDirectory.java,org.apache.lucene.store,0.0,6.0,6,0.4615384615384615,1
LRUFilterCache.java,org.apache.lucene.search,0.0,1.2,2,0.8571428571428571,0
FST.java,org.apache.lucene.util.fst,0.0,3.5999999999999996,4,0.3571428571428571,0
PrefixCodedTerms.java,org.apache.lucene.index,0.0,2.4,3,0.5,0
SortedDocValuesField.java,org.apache.lucene.document,0.0,0.0,1,1.0,0
NativeFSLockFactory.java,org.apache.lucene.store,0.0,4.8,5,0.4444444444444444,4
CollectionTerminatedException.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
SegmentMerger.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.625,0
SegmentDocValuesProducer.java,org.apache.lucene.index,0.0,2.4,3,0.625,0
SortedSetDocValuesTermsEnum.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,0
ForUtil.java,org.apache.lucene.codecs.lucene50,0.0,0.0,1,1.0,0
EliasFanoDocIdSet.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
SloppyPhraseScorer.java,org.apache.lucene.search,0.0,2.4,3,0.4,1
CompressingStoredFieldsIndexWriter.java,org.apache.lucene.codecs.compressing,0.0,1.2,2,0.5,1
MultiTermQueryWrapperFilter.java,org.apache.lucene.search,0.0,3.5999999999999996,4,0.3333333333333333,2
PostingsWriterBase.java,org.apache.lucene.codecs,0.0,0.0,1,1.0,0
CompressingStoredFieldsIndexReader.java,org.apache.lucene.codecs.compressing,0.0,1.2,2,0.5714285714285714,0
CompressingStoredFieldsReader.java,org.apache.lucene.codecs.compressing,1.2,1.2,3,0.6818181818181818,0
FloatField.java,org.apache.lucene.document,0.0,2.4,3,0.6,0
Similarity.java,org.apache.lucene.search.similarities,0.0,1.2,2,0.5,3
FilteredTermsEnum.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
Lucene50SkipWriter.java,org.apache.lucene.codecs.lucene50,0.0,1.2,2,0.5,0
FilterDirectoryReader.java,org.apache.lucene.index,0.0,2.4,3,0.5,5
CachingTokenFilter.java,org.apache.lucene.analysis,0.0,1.2,2,0.6666666666666666,1
SegmentInfo.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.5,4
DocTermOrdsRewriteMethod.java,org.apache.lucene.search,0.0,2.4,3,0.5,1
FilteredQuery.java,org.apache.lucene.search,0.0,2.4,3,0.45,7
RateLimitedIndexOutput.java,org.apache.lucene.store,0.0,2.4,3,0.6666666666666666,0
SortedIntSet.java,org.apache.lucene.util.automaton,0.0,1.2,2,0.6666666666666666,0
BitDocIdSet.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
NRTCachingDirectory.java,org.apache.lucene.store,0.0,6.0,6,0.4705882352941176,0
PagedGrowableWriter.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
LeafCollector.java,org.apache.lucene.search,0.0,1.2,2,0.6,0
SortedSetSortField.java,org.apache.lucene.search,0.0,1.2,2,0.5,1
LongField.java,org.apache.lucene.document,0.0,2.4,3,0.6,1
LockFactory.java,org.apache.lucene.store,0.0,0.0,1,1.0,2
Lucene50CompoundFormat.java,org.apache.lucene.codecs.lucene50,0.0,1.2,2,0.8888888888888888,0
SingletonSortedSetDocValues.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
QueryTimeoutImpl.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
AbstractPagedMutable.java,org.apache.lucene.util.packed,0.0,1.2,2,0.6666666666666666,0
NoMergeScheduler.java,org.apache.lucene.index,0.0,1.2,2,0.5,0
FieldInvertState.java,org.apache.lucene.index,0.0,1.2,2,0.75,0
BooleanTopLevelScorers.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
StoredDocument.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
BlockPackedReaderIterator.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
LiveIndexWriterConfig.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.4444444444444444,3
FrozenBufferedUpdates.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.4,0
Document.java,org.apache.lucene.document,0.0,1.2,2,0.8333333333333334,0
UsageTrackingFilterCachingPolicy.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
BlockTreeTermsWriter.java,org.apache.lucene.codecs.blocktree,0.0,3.5999999999999996,4,0.6666666666666666,1
NumericDocValuesFieldUpdates.java,org.apache.lucene.index,0.0,1.2,2,0.8,0
FieldComparator.java,org.apache.lucene.search,0.0,3.5999999999999996,4,0.5384615384615384,0
DocValuesFieldUpdates.java,org.apache.lucene.index,0.0,1.2,2,0.75,0
DoubleField.java,org.apache.lucene.document,0.0,2.4,3,0.6,0
SimilarityBase.java,org.apache.lucene.search.similarities,0.0,1.2,2,0.5,2
MultiTerms.java,org.apache.lucene.index,0.0,2.4,3,0.3333333333333333,0
PerFieldDocValuesFormat.java,org.apache.lucene.codecs.perfield,0.0,2.4,3,0.7,0
DocValuesFormat.java,org.apache.lucene.codecs,0.0,0.0,1,1.0,2
PayloadAttribute.java,org.apache.lucene.analysis.tokenattributes,0.0,0.0,1,1.0,0
DocumentsWriterDeleteQueue.java,org.apache.lucene.index,0.0,2.4,3,0.5,0
TermRangeQuery.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
OutputStreamIndexOutput.java,org.apache.lucene.store,0.0,1.2,2,0.6666666666666666,0
FixedBitSet.java,org.apache.lucene.util,0.0,2.4,3,0.6428571428571429,4
IntersectTermsEnum.java,org.apache.lucene.codecs.blocktree,0.0,1.2,2,0.8571428571428571,0
Lock.java,org.apache.lucene.store,0.0,1.2,2,0.6666666666666666,2
ReqExclScorer.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
FSLockFactory.java,org.apache.lucene.store,0.0,2.4,3,0.3333333333333333,2
SentinelIntSet.java,org.apache.lucene.util,0.0,1.2,2,0.5,1
Lucene50NormsConsumer.java,org.apache.lucene.codecs.lucene50,0.0,2.4,3,0.6666666666666666,0
CodecReader.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
SimpleCollector.java,org.apache.lucene.search,0.0,1.2,2,0.6666666666666666,0
BytesRefHash.java,org.apache.lucene.util,0.0,1.2,2,0.75,0
MapOfSets.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
MergeScheduler.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,0
BlockPackedWriter.java,org.apache.lucene.util.packed,0.0,1.2,2,0.5,0
IndexCommit.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
MutableValueStr.java,org.apache.lucene.util.mutable,0.0,1.2,2,0.5,0
FieldMaskingSpanQuery.java,org.apache.lucene.search.spans,0.0,0.0,1,1.0,3
ByteArrayDataInput.java,org.apache.lucene.store,0.0,0.0,1,1.0,0
Lucene50Codec.java,org.apache.lucene.codecs.lucene50,0.0,0.0,1,1.0,0
TFIDFSimilarity.java,org.apache.lucene.search.similarities,0.0,2.4,3,0.5,3
BytesRefBuilder.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
AutomatonTermsEnum.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.5714285714285714,0
FloatDocValuesField.java,org.apache.lucene.document,0.0,1.2,2,0.5,0
SortedNumericSelector.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
FilterCachingPolicy.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
TokenStreamToAutomaton.java,org.apache.lucene.analysis,0.0,1.2,2,0.75,0
Lucene50LiveDocsFormat.java,org.apache.lucene.codecs.lucene50,0.0,0.0,1,1.0,1
BaseDirectory.java,org.apache.lucene.store,0.0,0.0,1,1.0,2
BytesStore.java,org.apache.lucene.util.fst,0.0,2.4,3,0.6666666666666666,0
NotDocIdSet.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
AbstractBlockPackedWriter.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
TermsHash.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,0
MergeState.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.6,0
BM25Similarity.java,org.apache.lucene.search.similarities,0.0,0.0,1,1.0,4
FilteredDocIdSet.java,org.apache.lucene.search,0.0,1.2,2,0.6,1
FilteredDocIdSetIterator.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
BitSetIterator.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
BulkOperationPacked.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
QueryTimeout.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
FrequencyTrackingRingBuffer.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
LeafFieldComparator.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
DocumentStoredFieldVisitor.java,org.apache.lucene.document,0.0,1.2,2,0.5,0
SortedDocValues.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
Stats.java,org.apache.lucene.codecs.blocktree,0.0,2.4,3,0.5,0
SingletonSortedNumericDocValues.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
BinaryDocValues.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
IndexableField.java,org.apache.lucene.index,0.0,2.4,3,0.6,0
TooComplexToDeterminizeException.java,org.apache.lucene.util.automaton,0.0,0.0,1,1.0,0
FilterCache.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
MultiFields.java,org.apache.lucene.index,0.0,2.4,3,0.5,5
NoMergePolicy.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,0
SimpleMergedSegmentWarmer.java,org.apache.lucene.index,0.0,2.4,3,0.3333333333333333,0
SPIClassIterator.java,org.apache.lucene.util,0.0,2.4,3,0.5,0
TermsHashPerField.java,org.apache.lucene.index,0.0,2.4,3,0.5,0
BinaryDocValuesFieldUpdates.java,org.apache.lucene.index,0.0,2.4,3,0.6666666666666666,0
Lucene50DocValuesFormat.java,org.apache.lucene.codecs.lucene50,0.0,2.4,3,0.6666666666666666,1
GrowableWriter.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
IntSequenceOutputs.java,org.apache.lucene.util.fst,0.0,1.2,2,0.6666666666666666,0
NormsFormat.java,org.apache.lucene.codecs,0.0,0.0,1,1.0,0
NumericDocValues.java,org.apache.lucene.index,0.0,1.2,2,0.5,0
BaseCompositeReader.java,org.apache.lucene.index,0.0,0.0,1,1.0,2
Lucene50TermVectorsFormat.java,org.apache.lucene.codecs.lucene50,0.0,0.0,1,1.0,1
WeakIdentityMap.java,org.apache.lucene.util,0.0,0.0,1,1.0,1
FieldDoc.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
MultiPhraseQuery.java,org.apache.lucene.search,0.0,2.0,3,0.6,24
Collector.java,org.apache.lucene.search,0.0,1.2,2,0.5,1
ReferenceManager.java,org.apache.lucene.search,0.0,1.2,2,0.5,0
SerialMergeScheduler.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
Packed64SingleBlock.java,org.apache.lucene.util.packed,0.0,1.2,2,0.5,0
DirectWriter.java,org.apache.lucene.util.packed,0.0,1.2,2,0.6666666666666666,0
MonotonicBlockPackedReader.java,org.apache.lucene.util.packed,0.0,1.2,2,0.5714285714285714,0
BufferedUpdates.java,org.apache.lucene.index,0.0,2.4,3,0.3333333333333333,0
LockStressTest.java,org.apache.lucene.store,0.0,4.8,5,0.3333333333333333,2
TopDocsCollector.java,org.apache.lucene.search,0.0,1.2,2,0.6666666666666666,0
IndexFileDeleter.java,org.apache.lucene.index,0.0,1.2,2,0.5,4
Lucene50DocValuesConsumer.java,org.apache.lucene.codecs.lucene50,0.0,1.2,2,0.75,0
BytesRef.java,org.apache.lucene.util,0.0,1.2,2,0.5,0
StringField.java,org.apache.lucene.document,0.0,0.0,1,1.0,0
ChecksumIndexInput.java,org.apache.lucene.store,0.0,1.2,2,0.5,0
VerifyingLockFactory.java,org.apache.lucene.store,0.0,2.4,3,0.5,4
VirtualMethod.java,org.apache.lucene.util,0.0,1.2,2,0.5,0
PushPostingsWriterBase.java,org.apache.lucene.codecs,0.0,1.2,2,0.6666666666666666,1
TopDocs.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
DirectoryReader.java,org.apache.lucene.index,0.0,1.2,2,0.8,3
PayloadNearQuery.java,org.apache.lucene.search.payloads,0.0,1.2,2,0.45,8
IndexWriterConfig.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.5,5
MutableValueBool.java,org.apache.lucene.util.mutable,0.0,0.0,1,1.0,0
MappingMultiDocsEnum.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
CompiledAutomaton.java,org.apache.lucene.util.automaton,0.0,2.4,3,0.7142857142857143,0
StoredFieldsWriter.java,org.apache.lucene.codecs,0.0,2.4,3,0.5,1
AutomatonQuery.java,org.apache.lucene.search,0.0,1.2,2,0.7142857142857143,2
FieldType.java,org.apache.lucene.document,0.0,1.2,2,0.8571428571428571,0
DeltaPackedLongValues.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
Lucene50PostingsWriter.java,org.apache.lucene.codecs.lucene50,0.0,1.2,2,0.8,0
TermVectorsReader.java,org.apache.lucene.codecs,0.0,1.2,2,0.6666666666666666,0
ExitableDirectoryReader.java,org.apache.lucene.index,0.0,1.2,2,0.5,2
ReadersAndUpdates.java,org.apache.lucene.index,0.0,2.4,3,0.4166666666666667,0
DocValuesConsumer.java,org.apache.lucene.codecs,0.0,4.8,5,0.4166666666666667,0
Transition.java,org.apache.lucene.util.automaton,0.0,0.0,1,1.0,0
CompressingStoredFieldsFormat.java,org.apache.lucene.codecs.compressing,0.0,1.2,2,0.8333333333333334,0
CharTermAttributeImpl.java,org.apache.lucene.analysis.tokenattributes,0.0,2.4,3,0.3333333333333333,0
TrackingDirectoryWrapper.java,org.apache.lucene.store,0.0,0.0,1,1.0,0
DocValuesRangeFilter.java,org.apache.lucene.search,0.0,2.4,3,0.3333333333333333,0
MappedMultiFields.java,org.apache.lucene.index,0.0,1.2,2,0.5,0
CommandLineUtil.java,org.apache.lucene.util,0.0,1.2,2,0.5,0
SingleInstanceLockFactory.java,org.apache.lucene.store,0.0,2.4,3,0.3333333333333333,4
PerFieldSimilarityWrapper.java,org.apache.lucene.search.similarities,0.0,0.0,1,1.0,0
CloseableThreadLocal.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
IOUtils.java,org.apache.lucene.util,0.0,4.8,5,0.4615384615384615,4
DaciukMihovAutomatonBuilder.java,org.apache.lucene.util.automaton,0.0,2.4,3,0.6,0
MergeTrigger.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,0
AbortingException.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
CodecUtil.java,org.apache.lucene.codecs,0.0,1.2,2,0.9166666666666666,0
PayloadAttributeImpl.java,org.apache.lucene.analysis.tokenattributes,0.0,0.0,1,1.0,0
DisjunctionMaxScorer.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
SegmentInfoFormat.java,org.apache.lucene.codecs,0.0,0.0,1,1.0,1
FilterCollector.java,org.apache.lucene.search,0.0,1.2,2,0.5,1
IndexOptions.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
UTF32ToUTF8.java,org.apache.lucene.util.automaton,0.0,1.2,2,0.8,0
SnapshotDeletionPolicy.java,org.apache.lucene.index,0.0,1.2,2,0.5,0
FreqProxTermsWriterPerField.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
ReverseBytesReader.java,org.apache.lucene.util.fst,0.0,0.0,1,1.0,0
IntersectTermsEnumFrame.java,org.apache.lucene.codecs.blocktree,0.0,1.2,2,0.875,0
LiveFieldValues.java,org.apache.lucene.search,0.0,2.4,3,0.4,0
DocValuesUpdate.java,org.apache.lucene.index,0.0,1.2,2,0.75,0
NearSpansUnordered.java,org.apache.lucene.search.spans,0.0,2.4,3,0.3,8
FieldValueHitQueue.java,org.apache.lucene.search,0.0,1.2,2,0.6666666666666666,0
SegmentReader.java,org.apache.lucene.index,1.2,4.8,6,0.59375,2
BitSet.java,org.apache.lucene.util,0.0,1.2,2,0.75,0
BulkOperation.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
DocValuesWriter.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
RandomAccessInput.java,org.apache.lucene.store,0.0,0.0,1,1.0,0
SegmentTermsEnum.java,org.apache.lucene.codecs.blocktree,0.0,3.5999999999999996,4,0.7333333333333333,0
AnalyzerWrapper.java,org.apache.lucene.analysis,0.0,1.2,2,0.6666666666666666,0
LeafReaderContext.java,org.apache.lucene.index,0.0,1.2,2,0.5,0
SortedNumericDocValues.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
NumericDocValuesWriter.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.25,0
Spans.java,org.apache.lucene.search.spans,0.0,0.0,1,0.9,7
TopScoreDocCollector.java,org.apache.lucene.search,0.0,1.2,2,0.75,1
Builder.java,org.apache.lucene.util.fst,0.0,2.4,3,0.5,0
ReaderManager.java,org.apache.lucene.index,0.0,1.2,2,0.5,0
FileSwitchDirectory.java,org.apache.lucene.store,0.0,2.4,3,0.6666666666666666,2
Packed8ThreeBlocks.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
CompositeReaderContext.java,org.apache.lucene.index,0.0,1.2,2,0.5,0


C002;DOCUMENT/MESSAGE NAME;010;1001;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;1000;C;an..35;
C004;EVENT CATEGORY;010;9637;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9636;C;an..70;
C008;MONETARY AMOUNT FUNCTION DETAIL;010;5105;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;5104;C;an..70;
C009;INFORMATION CATEGORY;010;9615;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9614;C;an..70;
C010;INFORMATION TYPE;010;9613;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9612;C;an..70;
C011;INFORMATION DETAIL;010;9617;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;9616;C;an..256;
C012;PROCESSING INDICATOR;010;7365;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;7364;C;an..35;
C019;PAYMENT TERMS;010;4277;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;4276;C;an..35;
C030;EVENT TYPE;010;9171;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9170;C;an..70;
C040;CARRIER;010;3127;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;3128;C;an..35;
C042;NATIONALITY DETAILS;010;3293;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;3292;C;a..35;
C045;BILL LEVEL IDENTIFICATION;010;7436;C;an..17;020;7438;C;an..17;030;7440;C;an..17;040;7442;C;an..17;050;7444;C;an..17;060;7446;C;an..17;
C049;REMUNERATION TYPE IDENTIFICATION;010;5315;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;5314;C;an..35;050;5314;C;an..35;
C056;DEPARTMENT OR EMPLOYEE DETAILS;010;3413;C;an..17;020;3412;C;an..35;
C058;NAME AND ADDRESS;010;3124;M;an..35;020;3124;C;an..35;030;3124;C;an..35;040;3124;C;an..35;050;3124;C;an..35;
C059;STREET;010;3042;M;an..35;020;3042;C;an..35;030;3042;C;an..35;040;3042;C;an..35;
C063;EVENT IDENTIFICATION;010;9173;C;an..35;020;1131;C;an..17;030;3055;C;an..3;040;9172;C;an..256;
C076;COMMUNICATION CONTACT;010;3148;M;an..512;020;3155;M;an..3;
C077;FILE IDENTIFICATION;010;1508;C;an..35;020;7008;C;an..256;
C078;ACCOUNT HOLDER IDENTIFICATION;010;3194;C;an..35;020;3192;C;an..35;030;3192;C;an..35;040;6345;C;an..3;
C079;COMPUTER ENVIRONMENT IDENTIFICATION;010;1511;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;1510;C;an..35;050;1056;C;an..9;060;1058;C;an..9;070;7402;C;an..35;
C080;PARTY NAME;010;3036;M;an..35;020;3036;C;an..35;030;3036;C;an..35;040;3036;C;an..35;050;3036;C;an..35;060;3045;C;an..3;
C082;PARTY IDENTIFICATION DETAILS;010;3039;M;an..35;020;1131;C;an..17;030;3055;C;an..3;
C085;MARITAL STATUS DETAILS;010;3479;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;3478;C;an..35;
C088;INSTITUTION IDENTIFICATION;010;3433;C;an..11;020;1131;C;an..17;030;3055;C;an..3;040;3434;C;an..17;050;1131;C;an..17;060;3055;C;an..3;070;3432;C;an..70;080;3436;C;an..70;
C090;ADDRESS DETAILS;010;3477;M;an..3;020;3286;M;an..70;030;3286;C;an..70;040;3286;C;an..70;050;3286;C;an..70;060;3286;C;an..70;
C099;FILE DETAILS;010;1516;M;an..17;020;1056;C;an..9;030;1503;C;an..3;040;1502;C;an..35;
C100;TERMS OF DELIVERY OR TRANSPORT;010;4053;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;4052;C;an..70;050;4052;C;an..70;
C101;RELIGION DETAILS;010;3483;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;3482;C;an..35;
C106;DOCUMENT/MESSAGE IDENTIFICATION;010;1004;C;an..35;020;1056;C;an..9;030;1060;C;an..6;
C107;TEXT REFERENCE;010;4441;M;an..17;020;1131;C;an..17;030;3055;C;an..3;
C108;TEXT LITERAL;010;4440;M;an..512;020;4440;C;an..512;030;4440;C;an..512;040;4440;C;an..512;050;4440;C;an..512;
C110;PAYMENT TERMS;010;4277;M;an..17;020;1131;C;an..17;030;3055;C;an..3;040;4276;C;an..35;050;4276;C;an..35;
C112;TERMS/TIME INFORMATION;010;2475;M;an..3;020;2009;C;an..3;030;2151;C;an..3;040;2152;C;n..3;
C128;RATE DETAILS;010;5419;M;an..3;020;5420;M;n..15;030;5284;C;n..9;040;6411;C;an..3;
C138;PRICE MULTIPLIER INFORMATION;010;5394;M;n..12;020;5393;C;an..3;
C174;VALUE/RANGE;010;6411;M;an..3;020;6314;C;an..18;030;6162;C;n..18;040;6152;C;n..18;050;6432;C;n..2;
C186;QUANTITY DETAILS;010;6063;M;an..3;020;6060;M;an..35;030;6411;C;an..3;
C200;CHARGE;010;8023;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;8022;C;an..26;050;4237;C;an..3;060;7140;C;an..35;
C202;PACKAGE TYPE;010;7065;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;7064;C;an..35;
C203;RATE/TARIFF CLASS;010;5243;M;an..9;020;1131;C;an..17;030;3055;C;an..3;040;5242;C;an..35;050;5275;C;an..6;060;1131;C;an..17;070;3055;C;an..3;080;5275;C;an..6;090;1131;C;an..17;100;3055;C;an..3;
C205;HAZARD CODE;010;8351;M;an..7;020;8078;C;an..7;030;8092;C;an..10;
C206;IDENTIFICATION NUMBER;010;7402;M;an..35;020;7405;C;an..3;030;4405;C;an..3;
C208;IDENTITY NUMBER RANGE;010;7402;M;an..35;020;7402;C;an..35;
C210;MARKS & LABELS;010;7102;M;an..35;020;7102;C;an..35;030;7102;C;an..35;040;7102;C;an..35;050;7102;C;an..35;060;7102;C;an..35;070;7102;C;an..35;080;7102;C;an..35;090;7102;C;an..35;100;7102;C;an..35;
C211;DIMENSIONS;010;6411;M;an..3;020;6168;C;n..15;030;6140;C;n..15;040;6008;C;n..15;
C212;ITEM NUMBER IDENTIFICATION;010;7140;C;an..35;020;7143;C;an..3;030;1131;C;an..17;040;3055;C;an..3;
C213;NUMBER AND TYPE OF PACKAGES;010;7224;C;n..8;020;7065;C;an..17;030;1131;C;an..17;040;3055;C;an..3;050;7064;C;an..35;060;7233;C;an..3;
C214;SPECIAL SERVICES IDENTIFICATION;010;7161;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;7160;C;an..35;050;7160;C;an..35;
C215;SEAL ISSUER;010;9303;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9302;C;an..35;
C218;HAZARDOUS MATERIAL;010;7419;C;an..4;020;1131;C;an..17;030;3055;C;an..3;040;7418;C;an..35;
C219;MOVEMENT TYPE;010;8335;C;an..3;020;8334;C;an..35;
C220;MODE OF TRANSPORT;010;8067;C;an..3;020;8066;C;an..17;
C222;TRANSPORT IDENTIFICATION;010;8213;C;an..9;020;1131;C;an..17;030;3055;C;an..3;040;8212;C;an..35;050;8453;C;an..3;
C223;DANGEROUS GOODS SHIPMENT FLASHPOINT;010;7106;C;n3;020;6411;C;an..3;
C224;EQUIPMENT SIZE AND TYPE;010;8155;C;an..10;020;1131;C;an..17;030;3055;C;an..3;040;8154;C;an..35;
C228;TRANSPORT MEANS;010;8179;C;an..8;020;8178;C;an..17;
C229;CHARGE CATEGORY;010;5237;M;an..3;020;1131;C;an..17;030;3055;C;an..3;
C231;METHOD OF PAYMENT;010;4215;M;an..3;020;1131;C;an..17;030;3055;C;an..3;
C232;GOVERNMENT ACTION;010;9415;C;an..3;020;9411;C;an..3;030;9417;C;an..3;040;9353;C;an..3;
C233;SERVICE;010;7273;M;an..3;020;1131;C;an..17;030;3055;C;an..3;040;7273;C;an..3;050;1131;C;an..17;060;3055;C;an..3;
C234;UNDG INFORMATION;010;7124;C;n4;020;7088;C;an..8;
C235;HAZARD IDENTIFICATION PLACARD DETAILS;010;8158;C;an..4;020;8186;C;an4;
C236;DANGEROUS GOODS LABEL;010;8246;C;an..4;020;8246;C;an..4;030;8246;C;an..4;
C237;EQUIPMENT IDENTIFICATION;010;8260;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;3207;C;an..3;
C239;TEMPERATURE SETTING;010;6246;C;n..15;020;6411;C;an..3;
C240;PRODUCT CHARACTERISTIC;010;7037;M;an..17;020;1131;C;an..17;030;3055;C;an..3;040;7036;C;an..35;050;7036;C;an..35;
C241;DUTY/TAX/FEE TYPE;010;5153;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;5152;C;an..35;
C242;PROCESS TYPE AND DESCRIPTION;010;7187;M;an..17;020;1131;C;an..17;030;3055;C;an..3;040;7186;C;an..35;050;7186;C;an..35;
C243;DUTY/TAX/FEE DETAIL;010;5279;C;an..7;020;1131;C;an..17;030;3055;C;an..3;040;5278;C;an..17;050;5273;C;an..12;060;1131;C;an..17;070;3055;C;an..3;
C244;TEST METHOD;010;4415;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;4416;C;an..70;
C246;CUSTOMS IDENTITY CODES;010;7361;M;an..18;020;1131;C;an..17;030;3055;C;an..3;
C270;CONTROL;010;6069;M;an..3;020;6066;M;n..18;030;6411;C;an..3;
C272;ITEM CHARACTERISTIC;010;7081;C;an..3;020;1131;C;an..17;030;3055;C;an..3;
C273;ITEM DESCRIPTION;010;7009;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;7008;C;an..256;050;7008;C;an..256;060;3453;C;an..3;
C279;QUANTITY DIFFERENCE INFORMATION;010;6064;M;n..15;020;6063;C;an..3;
C280;RANGE;010;6411;M;an..3;020;6162;C;n..18;030;6152;C;n..18;
C286;SEQUENCE INFORMATION;010;1050;M;an..10;020;1159;C;an..3;030;1131;C;an..17;040;3055;C;an..3;
C288;PRODUCT GROUP;010;5389;C;an..25;020;1131;C;an..17;030;3055;C;an..3;040;5388;C;an..35;
C292;PRICE CHANGE INFORMATION;010;5377;M;an..3;020;1131;C;an..17;030;3055;C;an..3;
C329;PATTERN DESCRIPTION;010;2013;C;an..3;020;2015;C;an..3;030;2017;C;an..3;
C330;INSURANCE COVER TYPE;010;4497;M;an..3;020;1131;C;an..17;030;3055;C;an..3;
C331;INSURANCE COVER DETAILS;010;4495;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;4494;C;an..35;050;4494;C;an..35;
C332;SALES CHANNEL IDENTIFICATION;010;3496;M;an..17;020;1131;C;an..17;030;3055;C;an..3;
C333;INFORMATION REQUEST;010;4511;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;4510;C;an..35;
C401;EXCESS TRANSPORTATION INFORMATION;010;8457;M;an..3;020;8459;M;an..3;030;7130;C;an..17;
C402;PACKAGE TYPE IDENTIFICATION;010;7077;M;an..3;020;7064;M;an..35;030;7143;C;an..3;040;7064;C;an..35;050;7143;C;an..3;
C501;PERCENTAGE DETAILS;010;5245;M;an..3;020;5482;C;n..10;030;5249;C;an..3;040;1131;C;an..17;050;3055;C;an..3;
C502;MEASUREMENT DETAILS;010;6313;C;an..3;020;6321;C;an..3;030;6155;C;an..17;040;6154;C;an..70;
C503;DOCUMENT/MESSAGE DETAILS;010;1004;C;an..35;020;1373;C;an..3;030;1366;C;an..70;040;3453;C;an..3;050;1056;C;an..9;060;1060;C;an..6;
C504;CURRENCY DETAILS;010;6347;M;an..3;020;6345;C;an..3;030;6343;C;an..3;040;6348;C;n..4;
C506;REFERENCE;010;1153;M;an..3;020;1154;C;an..70;030;1156;C;an..6;040;4000;C;an..35;050;1060;C;an..6;
C507;DATE/TIME/PERIOD;010;2005;M;an..3;020;2380;C;an..35;030;2379;C;an..3;
C508;LANGUAGE DETAILS;010;3453;C;an..3;020;3452;C;an..35;
C509;PRICE INFORMATION;010;5125;M;an..3;020;5118;C;n..15;030;5375;C;an..3;040;5387;C;an..3;050;5284;C;n..9;060;6411;C;an..3;
C512;SIZE DETAILS;010;6173;C;an..3;020;6174;C;n..15;
C514;SAMPLE LOCATION DETAILS;010;3237;C;an..3;020;3236;C;an..35;
C515;TEST REASON;010;4425;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;4424;C;an..35;
C516;MONETARY AMOUNT;010;5025;M;an..3;020;5004;C;n..35;030;6345;C;an..3;040;6343;C;an..3;050;4405;C;an..3;
C517;LOCATION IDENTIFICATION;010;3225;C;an..25;020;1131;C;an..17;030;3055;C;an..3;040;3224;C;an..256;
C519;RELATED LOCATION ONE IDENTIFICATION;010;3223;C;an..25;020;1131;C;an..17;030;3055;C;an..3;040;3222;C;an..70;
C521;BUSINESS FUNCTION;010;4027;M;an..3;020;4025;M;an..3;030;1131;C;an..17;040;3055;C;an..3;050;4022;C;an..70;
C522;INSTRUCTION;010;4403;M;an..3;020;4401;C;an..3;030;1131;C;an..17;040;3055;C;an..3;050;4400;C;an..35;
C523;NUMBER OF UNIT DETAILS;010;6350;C;n..15;020;6353;C;an..3;
C524;HANDLING INSTRUCTIONS;010;4079;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;4078;C;an..70;
C525;PURPOSE OF CONVEYANCE CALL;010;8025;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;8024;C;an..35;
C526;FREQUENCY DETAILS;010;6071;M;an..3;020;6072;C;n..9;030;6411;C;an..3;
C527;STATISTICAL DETAILS;010;6314;C;an..18;020;6411;C;an..3;030;6313;C;an..3;040;6321;C;an..3;
C528;COMMODITY/RATE DETAIL;010;7357;C;an..18;020;1131;C;an..17;030;3055;C;an..3;
C529;PROCESSING INDICATOR;010;7365;M;an..3;020;1131;C;an..17;030;3055;C;an..3;040;7187;C;an..17;
C531;PACKAGING DETAILS;010;7075;C;an..3;020;7233;C;an..3;030;7073;C;an..3;
C532;RETURNABLE PACKAGE DETAILS;010;8395;C;an..3;020;8393;C;an..3;
C533;DUTY/TAX/FEE ACCOUNT DETAIL;010;5289;M;an..6;020;1131;C;an..17;030;3055;C;an..3;
C534;PAYMENT INSTRUCTION DETAILS;010;4439;C;an..3;020;4431;C;an..3;030;4461;C;an..3;040;1131;C;an..17;050;3055;C;an..3;060;4435;C;an..3;
C536;CONTRACT AND CARRIAGE CONDITION;010;4065;M;an..3;020;1131;C;an..17;030;3055;C;an..3;
C537;TRANSPORT PRIORITY;010;4219;M;an..3;020;1131;C;an..17;030;3055;C;an..3;
C543;AGREEMENT TYPE IDENTIFICATION;010;7431;M;an..3;020;7433;C;an..3;030;1131;C;an..17;040;3055;C;an..3;050;7434;C;an..70;
C545;INDEX IDENTIFICATION;010;5013;M;an..3;020;5027;C;an..17;030;1131;C;an..17;040;3055;C;an..3;
C546;INDEX VALUE;010;5030;M;an..35;020;5039;C;an..3;
C549;MONETARY AMOUNT FUNCTION;010;5007;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;5006;C;an..70;
C550;REQUIREMENT/CONDITION IDENTIFICATION;010;7295;M;an..17;020;1131;C;an..17;030;3055;C;an..3;040;7294;C;an..35;
C551;BANK OPERATION;010;4383;M;an..3;020;1131;C;an..17;030;3055;C;an..3;
C552;ALLOWANCE/CHARGE INFORMATION;010;1230;C;an..35;020;5189;C;an..3;
C553;RELATED LOCATION TWO IDENTIFICATION;010;3233;C;an..25;020;1131;C;an..17;030;3055;C;an..3;040;3232;C;an..70;
C554;RATE/TARIFF CLASS DETAIL;010;5243;C;an..9;020;1131;C;an..17;030;3055;C;an..3;
C555;STATUS;010;4405;M;an..3;020;1131;C;an..17;030;3055;C;an..3;040;4404;C;an..35;
C556;STATUS REASON;010;9013;M;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9012;C;an..256;
C564;PHYSICAL OR LOGICAL STATE INFORMATION;010;7007;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;7006;C;an..70;
C585;PRIORITY DETAILS;010;4037;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;4036;C;an..35;
C593;ACCOUNT IDENTIFICATION;010;1147;M;an..35;020;1131;C;an..17;030;3055;C;an..3;040;1148;C;an..17;050;1146;C;an..35;060;1146;C;an..35;070;6345;C;an..3;
C595;ACCOUNTING JOURNAL IDENTIFICATION;010;1171;M;an..17;020;1131;C;an..17;030;3055;C;an..3;040;1170;C;an..35;
C596;ACCOUNTING ENTRY TYPE DETAILS;010;4475;M;an..17;020;1131;C;an..17;030;3055;C;an..3;040;4474;C;an..35;
C601;STATUS CATEGORY;010;9015;M;an..3;020;1131;C;an..17;030;3055;C;an..3;
C701;ERROR POINT DETAILS;010;1049;C;an..3;020;1052;C;an..35;030;1054;C;n..6;
C702;CODE SET IDENTIFICATION;010;9150;C;an..4;020;1131;C;an..17;030;3055;C;an..3;
C703;NATURE OF CARGO;010;7085;M;an..3;020;1131;C;an..17;030;3055;C;an..3;
C709;MESSAGE IDENTIFIER;010;1475;M;an..6;020;1056;C;an..9;030;1058;C;an..9;040;1476;C;an..2;050;1523;C;an..6;060;1060;C;an..6;070;1373;C;an..3;
C770;ARRAY CELL DETAILS;010;9424;C;an..512;
C778;POSITION IDENTIFICATION;010;7164;C;an..35;020;1050;C;an..10;
C779;ARRAY STRUCTURE IDENTIFICATION;010;9428;M;an..35;020;7405;C;an..3;
C780;VALUE LIST IDENTIFICATION;010;1518;M;an..35;020;7405;C;an..3;
C782;DATA SET IDENTIFICATION;010;1520;M;an..35;020;7405;C;an..3;
C783;FOOTNOTE SET IDENTIFICATION;010;9430;M;an..35;020;7405;C;an..3;
C784;FOOTNOTE IDENTIFICATION;010;9432;M;an..35;020;7405;C;an..3;
C785;STATISTICAL CONCEPT IDENTIFICATION;010;6434;M;an..35;020;7405;C;an..3;
C786;STRUCTURE COMPONENT IDENTIFICATION;010;7512;M;an..35;020;7405;C;an..3;
C811;QUESTION DETAILS;010;4057;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;4056;C;an..256;
C812;RESPONSE DETAILS;010;4345;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;4344;C;an..256;
C814;SAFETY SECTION;010;4046;M;n..2;020;4044;C;an..70;
C815;ADDITIONAL SAFETY INFORMATION;010;4039;M;an..3;020;1131;C;an..17;030;3055;C;an..3;040;4038;C;an..35;
C816;NAME COMPONENT DETAILS;010;3405;M;an..3;020;3398;C;an..70;030;3401;C;an..3;040;3295;C;an..3;
C817;ADDRESS USAGE;010;3299;C;an..3;020;3131;C;an..3;030;3475;C;an..3;
C818;PERSON INHERITED CHARACTERISTIC DETAILS;010;3311;C;an..8;020;1131;C;an..17;030;3055;C;an..3;040;3310;C;an..70;
C819;COUNTRY SUB-ENTITY DETAILS;010;3229;C;an..9;020;1131;C;an..17;030;3055;C;an..3;040;3228;C;an..35;
C820;PREMIUM CALCULATION COMPONENT;010;4521;C;an..17;020;1131;C;an..17;030;3055;C;an..3;
C821;TYPE OF DAMAGE;010;7501;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;7500;C;an..35;
C822;DAMAGE AREA;010;7503;C;an..4;020;1131;C;an..17;030;3055;C;an..3;040;7502;C;an..35;
C823;TYPE OF UNIT/COMPONENT;010;7505;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;7504;C;an..35;
C824;COMPONENT MATERIAL;010;7507;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;7506;C;an..35;
C825;DAMAGE SEVERITY;010;7509;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;7508;C;an..35;
C826;ACTION;010;1229;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;1228;C;an..35;
C827;TYPE OF MARKING;010;7511;M;an..3;020;1131;C;an..17;030;3055;C;an..3;
C828;CLINICAL INTERVENTION DETAILS;010;9437;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;9436;C;an..70;
C829;SUB-LINE INFORMATION;010;5495;C;an..3;020;1082;C;an..6;
C830;PROCESS IDENTIFICATION DETAILS;010;7191;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;7190;C;an..70;
C831;RESULT DETAILS;010;6314;C;an..18;020;6321;C;an..3;030;6155;C;an..17;040;1131;C;an..17;050;3055;C;an..3;060;6154;C;an..70;
C836;CLINICAL INFORMATION DETAILS;010;6413;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;6412;C;an..70;
C837;CERTAINTY DETAILS;010;4049;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;4048;C;an..35;
C838;DOSAGE DETAILS;010;6083;C;an..8;020;1131;C;an..17;030;3055;C;an..3;040;6082;C;an..70;
C839;ATTENDEE CATEGORY;010;7459;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;7458;C;an..35;
C840;ATTENDANCE ADMISSION DETAILS;010;9445;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9444;C;an..35;
C841;ATTENDANCE DISCHARGE DETAILS;010;9447;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9446;C;an..35;
C844;ORGANISATION CLASSIFICATION DETAIL;010;3083;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;3082;C;an..70;
C848;MEASUREMENT UNIT DETAILS;010;6417;C;an..8;020;1131;C;an..17;030;3055;C;an..3;040;6416;C;an..35;
C849;PARTIES TO INSTRUCTION;010;3301;M;an..35;020;3285;C;an..35;
C850;STATUS OF INSTRUCTION;010;4405;M;an..3;020;3036;C;an..35;
C851;RISK OBJECT TYPE;010;7179;C;an..17;020;1131;C;an..17;030;3055;C;an..3;
C852;RISK OBJECT SUB-TYPE;010;7177;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;7176;C;an..70;
C853;ERROR SEGMENT POINT DETAILS;010;9166;C;an..3;020;1050;C;an..10;030;1159;C;an..3;
C878;CHARGE/ALLOWANCE ACCOUNT;010;3434;M;an..17;020;1131;C;an..17;030;3055;C;an..3;040;3194;C;an..35;050;6345;C;an..3;
C889;CHARACTERISTIC VALUE;010;7111;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;7110;C;an..35;050;7110;C;an..35;
C901;APPLICATION ERROR DETAIL;010;9321;M;an..8;020;1131;C;an..17;030;3055;C;an..3;
C941;RELATIONSHIP;010;9143;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9142;C;an..35;
C942;MEMBERSHIP CATEGORY;010;7451;M;an..4;020;1131;C;an..17;030;3055;C;an..3;040;7450;C;an..35;
C944;MEMBERSHIP STATUS;010;7453;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;7452;C;an..35;
C945;MEMBERSHIP LEVEL;010;7455;M;an..3;020;7457;C;an..9;030;1131;C;an..17;040;3055;C;an..3;050;7456;C;an..35;
C948;EMPLOYMENT CATEGORY;010;9005;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9004;C;an..35;
C950;QUALIFICATION CLASSIFICATION;010;9007;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9006;C;an..35;050;9006;C;an..35;
C951;OCCUPATION;010;9009;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9008;C;an..35;050;9008;C;an..35;
C953;CONTRIBUTION TYPE;010;5049;M;an..3;020;1131;C;an..17;030;3055;C;an..3;040;5048;C;an..35;
C955;ATTRIBUTE TYPE;010;9021;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;9020;C;an..70;
C956;ATTRIBUTE DETAIL;010;9019;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;9018;C;an..256;
C960;REASON FOR CHANGE;010;4295;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;4294;C;an..35;
C961;FORMULA COMPLEXITY;010;9505;C;an..3;020;1131;C;an..17;030;3055;C;an..3;
C970;CLAUSE NAME;010;4069;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;4068;C;an..70;
C971;PROVISO TYPE;010;4073;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;4072;C;an..35;
C972;PROVISO CALCULATION;010;4075;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;4074;C;an..35;
C973;APPLICABILITY TYPE;010;9049;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9048;C;an..35;
C974;BASIS TYPE;010;9047;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9046;C;an..35;
C977;PERIOD DETAIL;010;2025;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;2024;C;an..35;


full_name,action_name,namespace,description,path_segment
ckan.logic.action.get.site_read,site_read,ckan.action.get.,Return True.,/site_read
ckan.logic.action.get.package_list,package_list,ckan.action.get.,Return a list of the names of the site’s datasets (packages).,/package_list
ckan.logic.action.get.current_package_list_with_resources,current_package_list_with_resources,ckan.action.get.,Return a list of the site’s datasets (packages) and their resources. The list is sorted most-recently-modified first.,/current_package_list_with_resources
ckan.logic.action.get.revision_list,revision_list,ckan.action.get.,"Return a list of the IDs of the site’s revisions. They are sorted with
the newest first. Since the results are limited to 50 IDs, you can page through them using
parameter since_id.",/revision_list
ckan.logic.action.get.package_revision_list,package_revision_list,ckan.action.get.,Return a dataset (package)’s revisions as a list of dictionaries.,/package_revision_list
ckan.logic.action.get.member_list,member_list,ckan.action.get.,Return the members of a group. The user must have permission to ‘get’ the group.,/member_list
ckan.logic.action.get.group_list,group_list,ckan.action.get.,Return a list of the names of the site’s groups.,/group_list
ckan.logic.action.get.organization_list,organization_list,ckan.action.get.,Return a list of the names of the site’s organizations.,/organization_list
ckan.logic.action.get.group_list_authz,group_list_authz,ckan.action.get.,Return the list of groups that the user is authorized to edit.,/group_list_authz
ckan.logic.action.get.organization_list_for_user,organization_list_for_user,ckan.action.get.,"Return the organizations that the user has a given permission for. Specifically it returns the list of organizations that the currently
authorized user has a given permission (for example: “manage_group”)
against. By default this returns the list of organizations that the currently
authorized user is member of, in any capacity. When a user becomes a member of an organization in CKAN they’re given a
“capacity” (sometimes called a “role”), for example “member”, “editor” or
“admin”. Each of these roles has certain permissions associated with it. For example
the admin role has the “admin” permission (which means they have permission
to do anything). The editor role has permissions like “create_dataset”,
“update_dataset” and “delete_dataset”.  The member role has the “read”
permission. This function returns the list of organizations that the authorized user
has a given permission for. For example the list of organizations that the
user is an admin of, or the list of organizations that the user can create
datasets in. This takes account of when permissions cascade down an
organization hierarchy.",/organization_list_for_user
ckan.logic.action.get.group_revision_list,group_revision_list,ckan.action.get.,Return a group’s revisions.,/group_revision_list
ckan.logic.action.get.organization_revision_list,organization_revision_list,ckan.action.get.,Return an organization’s revisions.,/organization_revision_list
ckan.logic.action.get.license_list,license_list,ckan.action.get.,Return the list of licenses available for datasets on the site.,/license_list
ckan.logic.action.get.tag_list,tag_list,ckan.action.get.,"Return a list of the site’s tags. By default only free tags (tags that don’t belong to a vocabulary) are
returned. If the vocabulary_id argument is given then only tags
belonging to that vocabulary will be returned instead.",/tag_list
ckan.logic.action.get.user_list,user_list,ckan.action.get.,Return a list of the site’s user accounts.,/user_list
ckan.logic.action.get.package_relationships_list,package_relationships_list,ckan.action.get.,Return a dataset (package)’s relationships.,/package_relationships_list
ckan.logic.action.get.package_show,package_show,ckan.action.get.,Return the metadata of a dataset (package) and its resources.,/package_show
ckan.logic.action.get.resource_show,resource_show,ckan.action.get.,Return the metadata of a resource.,/resource_show
ckan.logic.action.get.resource_view_show,resource_view_show,ckan.action.get.,Return the metadata of a resource_view.,/resource_view_show
ckan.logic.action.get.resource_view_list,resource_view_list,ckan.action.get.,Return the list of resource views for a particular resource.,/resource_view_list
ckan.logic.action.get.resource_status_show,resource_status_show,ckan.action.get.,Return the statuses of a resource’s tasks. This function is DEPRECATED.,/resource_status_show
ckan.logic.action.get.revision_show,revision_show,ckan.action.get.,Return the details of a revision.,/revision_show
ckan.logic.action.get.group_show,group_show,ckan.action.get.,Return the details of a group.,/group_show
ckan.logic.action.get.organization_show,organization_show,ckan.action.get.,Return the details of a organization.,/organization_show
ckan.logic.action.get.group_package_show,group_package_show,ckan.action.get.,Return the datasets (packages) of a group.,/group_package_show
ckan.logic.action.get.tag_show,tag_show,ckan.action.get.,Return the details of a tag and all its datasets.,/tag_show
ckan.logic.action.get.user_show,user_show,ckan.action.get.,Return a user account. Either the id or the user_obj parameter must be given.,/user_show
ckan.logic.action.get.package_autocomplete,package_autocomplete,ckan.action.get.,"Return a list of datasets (packages) that match a string. Datasets with names or titles that contain the query string will be
returned.",/package_autocomplete
ckan.logic.action.get.format_autocomplete,format_autocomplete,ckan.action.get.,Return a list of resource formats whose names contain a string.,/format_autocomplete
ckan.logic.action.get.user_autocomplete,user_autocomplete,ckan.action.get.,Return a list of user names that contain a string.,/user_autocomplete
ckan.logic.action.get.organization_autocomplete,organization_autocomplete,ckan.action.get.,Return a list of organization names that contain a string.,/organization_autocomplete
ckan.logic.action.get.package_search,package_search,ckan.action.get.,"Searches for packages satisfying a given search criteria. This action accepts solr search query parameters (details below), and
returns a dictionary of results, including dictized datasets that match
the search criteria, a search count and also facet information. For more in depth treatment of each paramter, please read the Solr
Documentation. This action accepts a subset of solr’s search query parameters: The following advanced Solr parameters are supported as well. Note that
some of these are only available on particular Solr versions. See Solr’s
dismax and edismax documentation for further details on them: qf, wt, bf, boost, tie, defType, mm q=flood datasets containing the word flood, floods or flooding
fq=tags:economy datasets with the tag economy
facet.field=[""tags""] facet.limit=10 rows=0 top 10 tags The result of this action is a dict with the following keys: An example result: The full solr query language is not exposed, including.",/package_search
ckan.logic.action.get.resource_search,resource_search,ckan.action.get.,"Searches for resources satisfying a given search criteria. It returns a dictionary with 2 fields: count and results.  The
count field contains the total number of Resources found without the
limit or query parameters having an effect.  The results field is a
list of dictized Resource objects. The ‘query’ parameter is a required field.  It is a string of the form
{field}:{term} or a list of strings, each of the same form.  Within
each string, {field} is a field or extra field on the Resource domain
object. If {field} is ""hash"", then an attempt is made to match the
{term} as a prefix of the Resource.hash field. If {field} is an extra field, then an attempt is made to match against
the extra fields stored against the Resource. Note: The search is limited to search against extra fields declared in
the config setting ckan.extra_resource_fields. Note: Due to a Resource’s extra fields being stored as a json blob, the
match is made against the json string representation.  As such, false
positives may occur: If the search criteria is: Then a json blob with the string representation of: will match the search criteria!  This is a known short-coming of this
approach. All matches are made ignoring case; and apart from the ""hash"" field,
a term matches if it is a substring of the field’s value. Finally, when specifying more than one search criteria, the criteria are
AND-ed together. The order parameter is used to control the ordering of the results.
Currently only ordering one field is available, and in ascending order
only. The fields parameter is deprecated as it is not compatible with calling
this action with a GET request to the action API. The context may contain a flag, search_query, which if True will make
this action behave as if being used by the internal search api.  ie - the
results will not be dictized, and SearchErrors are thrown for bad search
queries (rather than ValidationErrors).",/resource_search
ckan.logic.action.get.tag_search,tag_search,ckan.action.get. 'count' 'results',"Return a list of tags whose names contain a given string. By default only free tags (tags that don’t belong to any vocabulary) are
searched. If the vocabulary_id argument is given then only tags
belonging to that vocabulary will be searched instead.",/tag_search
ckan.logic.action.get.tag_autocomplete,tag_autocomplete,ckan.action.get.,"Return a list of tag names that contain a given string. By default only free tags (tags that don’t belong to any vocabulary) are
searched. If the vocabulary_id argument is given then only tags
belonging to that vocabulary will be searched instead.",/tag_autocomplete
ckan.logic.action.get.task_status_show,task_status_show,ckan.action.get.,"Return a task status. Either the id parameter or the entity_id, task_type and
key parameters must be given.",/task_status_show
ckan.logic.action.get.term_translation_show,term_translation_show,ckan.action.get.,Return the translations for the given term(s) and language(s).,/term_translation_show
ckan.logic.action.get.get_site_user,get_site_user,ckan.action.get.,Return the ckan site user,/get_site_user
ckan.logic.action.get.status_show,status_show,ckan.action.get.,Return a dictionary with information about the site’s configuration.,/status_show
ckan.logic.action.get.vocabulary_list,vocabulary_list,ckan.action.get.,Return a list of all the site’s tag vocabularies.,/vocabulary_list
ckan.logic.action.get.vocabulary_show,vocabulary_show,ckan.action.get.,Return a single tag vocabulary.,/vocabulary_show
ckan.logic.action.get.user_activity_list,user_activity_list,ckan.action.get.,Return a user’s public activity stream. You must be authorized to view the user’s profile.,/user_activity_list
ckan.logic.action.get.package_activity_list,package_activity_list,ckan.action.get.,Return a package’s activity stream. You must be authorized to view the package.,/package_activity_list
ckan.logic.action.get.group_activity_list,group_activity_list,ckan.action.get.,Return a group’s activity stream. You must be authorized to view the group.,/group_activity_list
ckan.logic.action.get.organization_activity_list,organization_activity_list,ckan.action.get.,Return a organization’s activity stream.,/organization_activity_list
ckan.logic.action.get.recently_changed_packages_activity_list,recently_changed_packages_activity_list,ckan.action.get.,Return the activity stream of all recently added or changed packages.,/recently_changed_packages_activity_list
ckan.logic.action.get.activity_detail_list,activity_detail_list,ckan.action.get.,Return an activity’s list of activity detail items.,/activity_detail_list
ckan.logic.action.get.user_activity_list_html,user_activity_list_html,ckan.action.get.,"Return a user’s public activity stream as HTML. The activity stream is rendered as a snippet of HTML meant to be included
in an HTML page, i.e. it doesn’t have any HTML header or footer.",/user_activity_list_html
ckan.logic.action.get.package_activity_list_html,package_activity_list_html,ckan.action.get.,"Return a package’s activity stream as HTML. The activity stream is rendered as a snippet of HTML meant to be included
in an HTML page, i.e. it doesn’t have any HTML header or footer.",/package_activity_list_html
ckan.logic.action.get.group_activity_list_html,group_activity_list_html,ckan.action.get.,"Return a group’s activity stream as HTML. The activity stream is rendered as a snippet of HTML meant to be included
in an HTML page, i.e. it doesn’t have any HTML header or footer.",/group_activity_list_html
ckan.logic.action.get.organization_activity_list_html,organization_activity_list_html,ckan.action.get.,"Return a organization’s activity stream as HTML. The activity stream is rendered as a snippet of HTML meant to be included
in an HTML page, i.e. it doesn’t have any HTML header or footer.",/organization_activity_list_html
ckan.logic.action.get.recently_changed_packages_activity_list_html,recently_changed_packages_activity_list_html,ckan.action.get.,"Return the activity stream of all recently changed packages as HTML. The activity stream includes all recently added or changed packages. It is
rendered as a snippet of HTML meant to be included in an HTML page, i.e. it
doesn’t have any HTML header or footer.",/recently_changed_packages_activity_list_html
ckan.logic.action.get.user_follower_count,user_follower_count,ckan.action.get.,Return the number of followers of a user.,/user_follower_count
ckan.logic.action.get.dataset_follower_count,dataset_follower_count,ckan.action.get.,Return the number of followers of a dataset.,/dataset_follower_count
ckan.logic.action.get.group_follower_count,group_follower_count,ckan.action.get.,Return the number of followers of a group.,/group_follower_count
ckan.logic.action.get.organization_follower_count,organization_follower_count,ckan.action.get.,Return the number of followers of an organization.,/organization_follower_count
ckan.logic.action.get.user_follower_list,user_follower_list,ckan.action.get.,Return the list of users that are following the given user.,/user_follower_list
ckan.logic.action.get.dataset_follower_list,dataset_follower_list,ckan.action.get.,Return the list of users that are following the given dataset.,/dataset_follower_list
ckan.logic.action.get.group_follower_list,group_follower_list,ckan.action.get.,Return the list of users that are following the given group.,/group_follower_list
ckan.logic.action.get.organization_follower_list,organization_follower_list,ckan.action.get.,Return the list of users that are following the given organization.,/organization_follower_list
ckan.logic.action.get.am_following_user,am_following_user,ckan.action.get.,"Return True if you’re following the given user, False if not.",/am_following_user
ckan.logic.action.get.am_following_dataset,am_following_dataset,ckan.action.get.,"Return True if you’re following the given dataset, False if not.",/am_following_dataset
ckan.logic.action.get.am_following_group,am_following_group,ckan.action.get.,"Return True if you’re following the given group, False if not.",/am_following_group
ckan.logic.action.get.followee_count,followee_count,ckan.action.get.,"Return the number of objects that are followed by the given user. Counts all objects, of any type, that the given user is following
(e.g. followed users, followed datasets, followed groups).",/followee_count
ckan.logic.action.get.user_followee_count,user_followee_count,ckan.action.get.,Return the number of users that are followed by the given user.,/user_followee_count
ckan.logic.action.get.dataset_followee_count,dataset_followee_count,ckan.action.get.,Return the number of datasets that are followed by the given user.,/dataset_followee_count
ckan.logic.action.get.group_followee_count,group_followee_count,ckan.action.get.,Return the number of groups that are followed by the given user.,/group_followee_count
ckan.logic.action.get.followee_list,followee_list,ckan.action.get.,"Return the list of objects that are followed by the given user. Returns all objects, of any type, that the given user is following
(e.g. followed users, followed datasets, followed groups.. ).",/followee_list
ckan.logic.action.get.user_followee_list,user_followee_list,ckan.action.get.,Return the list of users that are followed by the given user.,/user_followee_list
ckan.logic.action.get.dataset_followee_list,dataset_followee_list,ckan.action.get.,Return the list of datasets that are followed by the given user.,/dataset_followee_list
ckan.logic.action.get.group_followee_list,group_followee_list,ckan.action.get.,Return the list of groups that are followed by the given user.,/group_followee_list
ckan.logic.action.get.organization_followee_list,organization_followee_list,ckan.action.get.,Return the list of organizations that are followed by the given user.,/organization_followee_list
ckan.logic.action.get.dashboard_activity_list,dashboard_activity_list,ckan.action.get.,"Unlike the activity dictionaries returned by other *_activity_list
actions, these activity dictionaries have an extra boolean value with key
is_new that tells you whether the activity happened since the user last
viewed her dashboard ('is_new': True) or not ('is_new': False). The user’s own activities are always marked 'is_new': False.",/dashboard_activity_list
ckan.logic.action.get.dashboard_activity_list_html,dashboard_activity_list_html,ckan.action.get.,"The activity stream is rendered as a snippet of HTML meant to be included
in an HTML page, i.e. it doesn’t have any HTML header or footer.",/dashboard_activity_list_html
ckan.logic.action.get.dashboard_new_activities_count,dashboard_new_activities_count,ckan.action.get.,"Return the number of new activities in the user’s dashboard. Return the number of new activities in the authorized user’s dashboard
activity stream. Activities from the user herself are not counted by this function even
though they appear in the dashboard (users don’t want to be notified about
things they did themselves).",/dashboard_new_activities_count
ckan.logic.action.get.member_roles_list,member_roles_list,ckan.action.get.,Return the possible roles for members of groups and organizations.,/member_roles_list
ckan.logic.action.get.help_show,help_show,ckan.action.get.,Return the help string for a particular API action.,/help_show
ckan.logic.action.get.config_option_show,config_option_show,ckan.action.get.,"Show the current value of a particular configuration option. Only returns runtime-editable config options (the ones returned by
config_option_list()), which can be updated with the
config_option_update() action.",/config_option_show
ckan.logic.action.get.config_option_list,config_option_list,ckan.action.get.,,/config_option_list
ckan.logic.action.get.job_list,job_list,ckan.action.get.,List enqueued background jobs.,/job_list
ckan.logic.action.get.job_show,job_show,ckan.action.get.,Show details for a background job.,/job_show
ckan.logic.action.create.package_create,package_create,ckan.logic.action.create.,"Create a new dataset (package). You must be authorized to create new datasets. If you specify any groups
for the new dataset, you must also be authorized to edit these groups. Plugins may change the parameters of this function depending on the value
of the type parameter, see the
IDatasetForm plugin interface.",/package_create
ckan.logic.action.create.resource_create,resource_create,ckan.logic.action.create.,Appends a new resource to a datasets list of resources.,/resource_create
ckan.logic.action.create.resource_view_create,resource_view_create,ckan.logic.action.create.,Creates a new resource view.,/resource_view_create
ckan.logic.action.create.resource_create_default_resource_views,resource_create_default_resource_views,ckan.logic.action.create.,"Creates the default views (if necessary) on the provided resource The function will get the plugins for the default views defined in
the configuration, and if some were found the can_view method of
each one of them will be called to determine if a resource view should
be created. Resource views extensions get the resource dict and the
parent dataset dict. If the latter is not provided, package_show is called to get it. By default only view plugins that don’t require the resource data to be in
the DataStore are called. See
ckan.logic.action.create.package_create_default_resource_views.`()
for details on the create_datastore_views parameter.",/resource_create_default_resource_views
ckan.logic.action.create.package_create_default_resource_views,package_create_default_resource_views,ckan.logic.action.create.,"Creates the default views on all resources of the provided dataset By default only view plugins that don’t require the resource data to be in
the DataStore are called. Passing create_datastore_views as True will
only create views that require data to be in the DataStore. The first case
happens when the function is called from package_create or
package_update, the second when it’s called from the DataPusher when
data was uploaded to the DataStore.",/package_create_default_resource_views
ckan.logic.action.create.package_relationship_create,package_relationship_create,ckan.logic.action.create.,Create a relationship between two datasets (packages). You must be authorized to edit both the subject and the object datasets.,/package_relationship_create
ckan.logic.action.create.member_create,member_create,ckan.logic.action.create.,"Make an object (e.g. a user, dataset or group) a member of a group. If the object is already a member of the group then the capacity of the
membership will be updated. You must be authorized to edit the group.",/member_create
ckan.logic.action.create.group_create,group_create,ckan.logic.action.create.,"Create a new group. You must be authorized to create groups. Plugins may change the parameters of this function depending on the value
of the type parameter, see the
IGroupForm plugin interface.",/group_create
ckan.logic.action.create.organization_create,organization_create,ckan.logic.action.create.,"Create a new organization. You must be authorized to create organizations. Plugins may change the parameters of this function depending on the value
of the type parameter, see the
IGroupForm plugin interface.",/organization_create
ckan.logic.action.create.rating_create,rating_create,ckan.logic.action.create.,Rate a dataset (package). You must provide your API key in the Authorization header.,/rating_create
ckan.logic.action.create.user_create,user_create,ckan.logic.action.create.,Create a new user. You must be authorized to create users.,/user_create
ckan.logic.action.create.user_invite,user_invite,ckan.logic.action.create.,Invite a new user. You must be authorized to create group members.,/user_invite
ckan.logic.action.create.vocabulary_create,vocabulary_create,ckan.logic.action.create.,Create a new tag vocabulary. You must be a sysadmin to create vocabularies.,/vocabulary_create
ckan.logic.action.create.activity_create,activity_create,ckan.logic.action.create.,Create a new activity stream activity. You must be a sysadmin to create new activities.,/activity_create
ckan.logic.action.create.tag_create,tag_create,ckan.logic.action.create.,"Create a new vocabulary tag. You must be a sysadmin to create vocabulary tags. You can only use this function to create tags that belong to a vocabulary,
not to create free tags. (To create a new free tag simply add the tag to
a package, e.g. using the
package_update() function.)",/tag_create
ckan.logic.action.create.follow_user,follow_user,ckan.logic.action.create.,Start following another user. You must provide your API key in the Authorization header.,/follow_user
ckan.logic.action.create.follow_dataset,follow_dataset,ckan.logic.action.create.,Start following a dataset. You must provide your API key in the Authorization header.,/follow_dataset
ckan.logic.action.create.group_member_create,group_member_create,ckan.logic.action.create.,Make a user a member of a group. You must be authorized to edit the group.,/group_member_create
ckan.logic.action.create.organization_member_create,organization_member_create,ckan.logic.action.create.,Make a user a member of an organization. You must be authorized to edit the organization.,/organization_member_create
ckan.logic.action.create.follow_group,follow_group,ckan.logic.action.create.,Start following a group. You must provide your API key in the Authorization header.,/follow_group
ckan.logic.action.update.resource_update,resource_update,ckan.logic.action.update.,"Update a resource. To update a resource you must be authorized to update the dataset that the
resource belongs to. For further parameters see
resource_create().",/resource_update
ckan.logic.action.update.resource_view_update,resource_view_update,ckan.logic.action.update.,"Update a resource view. To update a resource_view you must be authorized to update the resource
that the resource_view belongs to. For further parameters see resource_view_create().",/resource_view_update
ckan.logic.action.update.resource_view_reorder,resource_view_reorder,ckan.logic.action.update.,Reorder resource views.,/resource_view_reorder
ckan.logic.action.update.package_update,package_update,ckan.logic.action.update.,"Update a dataset (package). You must be authorized to edit the dataset and the groups that it belongs
to. It is recommended to call
ckan.logic.action.get.package_show(), make the desired changes to
the result, and then call package_update() with it. Plugins may change the parameters of this function depending on the value
of the dataset’s type attribute, see the
IDatasetForm plugin interface. For further parameters see
package_create().",/package_update
ckan.logic.action.update.package_resource_reorder,package_resource_reorder,ckan.logic.action.update.,"Reorder resources against datasets.  If only partial resource ids are
supplied then these are assumed to be first and the other resources will
stay in their original order",/package_resource_reorder
ckan.logic.action.update.package_relationship_update,package_relationship_update,ckan.logic.action.update.,"Update a relationship between two datasets (packages). The subject, object and type parameters are required to identify the
relationship. Only the comment can be updated. You must be authorized to edit both the subject and the object datasets.",/package_relationship_update
ckan.logic.action.update.group_update,group_update,ckan.logic.action.update.,"Update a group. You must be authorized to edit the group. Plugins may change the parameters of this function depending on the value
of the group’s type attribute, see the
IGroupForm plugin interface. For further parameters see
group_create().",/group_update
ckan.logic.action.update.organization_update,organization_update,ckan.logic.action.update.,"Update a organization. You must be authorized to edit the organization. For further parameters see
organization_create().",/organization_update
ckan.logic.action.update.user_update,user_update,ckan.logic.action.update.,"Update a user account. Normal users can only update their own user accounts. Sysadmins can update
any user account. For further parameters see
user_create().",/user_update
ckan.logic.action.update.user_generate_apikey,user_generate_apikey,ckan.logic.action.update.,Cycle a user’s API key,/user_generate_apikey
ckan.logic.action.update.task_status_update,task_status_update,ckan.logic.action.update.,Update a task status.,/task_status_update
ckan.logic.action.update.task_status_update_many,task_status_update_many,ckan.logic.action.update.,Update many task statuses at once.,/task_status_update_many
ckan.logic.action.update.term_translation_update,term_translation_update,ckan.logic.action.update.,Create or update a term translation. You must be a sysadmin to create or update term translations.,/term_translation_update
ckan.logic.action.update.term_translation_update_many,term_translation_update_many,ckan.logic.action.update.,Create or update many term translations at once.,/term_translation_update_many
ckan.logic.action.update.vocabulary_update,vocabulary_update,ckan.logic.action.update.,"Update a tag vocabulary. You must be a sysadmin to update vocabularies. For further parameters see
vocabulary_create().",/vocabulary_update
ckan.logic.action.update.dashboard_mark_activities_old,dashboard_mark_activities_old,ckan.logic.action.update.,"Mark all the authorized user’s new dashboard activities as old. This will reset
dashboard_new_activities_count() to 0.",/dashboard_mark_activities_old
ckan.logic.action.update.send_email_notifications,send_email_notifications,ckan.logic.action.update.,"Send any pending activity stream notification emails to users. You must provide a sysadmin’s API key in the Authorization header of the
request, or call this action from the command-line via a paster post ...
command.",/send_email_notifications
ckan.logic.action.update.package_owner_org_update,package_owner_org_update,ckan.logic.action.update.,Update the owning organization of a dataset,/package_owner_org_update
ckan.logic.action.update.bulk_update_private,bulk_update_private,ckan.logic.action.update.,Make a list of datasets private,/bulk_update_private
ckan.logic.action.update.bulk_update_public,bulk_update_public,ckan.logic.action.update.,Make a list of datasets public,/bulk_update_public
ckan.logic.action.update.bulk_update_delete,bulk_update_delete,ckan.logic.action.update.,Make a list of datasets deleted,/bulk_update_delete
ckan.logic.action.update.config_option_update,config_option_update,ckan.logic.action.update.,"Allows to modify some CKAN runtime-editable config options It takes arbitrary key, value pairs and checks the keys against the
config options update schema. If some of the provided keys are not present
in the schema a ValidationError is raised.
The values are then validated against the schema, and if validation is
passed, for each key, value config option: The following lists a key parameter, but this should be replaced by
whichever config options want to be updated, eg:",/config_option_update
ckan.logic.action.patch.package_patch,package_patch,ckan.logic.action.patch.,"Patch a dataset (package). The difference between the update and patch methods is that the patch will
perform an update of the provided parameters, while leaving all other
parameters unchanged, whereas the update methods deletes all parameters
not explicitly provided in the data_dict You must be authorized to edit the dataset and the groups that it belongs
to.",/package_patch
ckan.logic.action.patch.resource_patch,resource_patch,ckan.logic.action.patch.,"Patch a resource The difference between the update and patch methods is that the patch will
perform an update of the provided parameters, while leaving all other
parameters unchanged, whereas the update methods deletes all parameters
not explicitly provided in the data_dict",/resource_patch
ckan.logic.action.patch.group_patch,group_patch,ckan.logic.action.patch.,"Patch a group The difference between the update and patch methods is that the patch will
perform an update of the provided parameters, while leaving all other
parameters unchanged, whereas the update methods deletes all parameters
not explicitly provided in the data_dict",/group_patch
ckan.logic.action.patch.organization_patch,organization_patch,ckan.logic.action.patch.,"Patch an organization The difference between the update and patch methods is that the patch will
perform an update of the provided parameters, while leaving all other
parameters unchanged, whereas the update methods deletes all parameters
not explicitly provided in the data_dict",/organization_patch
ckan.logic.action.delete.user_delete,user_delete,ckan.logic.action.delete.,Delete a user. Only sysadmins can delete users.,/user_delete
ckan.logic.action.delete.package_delete,package_delete,ckan.logic.action.delete.,"Delete a dataset (package). This makes the dataset disappear from all web & API views, apart from the
trash. You must be authorized to delete the dataset.",/package_delete
ckan.logic.action.delete.dataset_purge,dataset_purge,ckan.logic.action.delete.,"Purge a dataset. Purging a database completely removes the dataset from the CKAN database,
whereas deleting a dataset simply marks the dataset as deleted (it will no
longer show up in the front-end, but is still in the db). You must be authorized to purge the dataset.",/dataset_purge
ckan.logic.action.delete.resource_delete,resource_delete,ckan.logic.action.delete.,Delete a resource from a dataset. You must be a sysadmin or the owner of the resource to delete it.,/resource_delete
ckan.logic.action.delete.resource_view_delete,resource_view_delete,ckan.logic.action.delete.,Delete a resource_view.,/resource_view_delete
ckan.logic.action.delete.resource_view_clear,resource_view_clear,ckan.logic.action.delete.,"Delete all resource views, or all of a particular type.",/resource_view_clear
ckan.logic.action.delete.package_relationship_delete,package_relationship_delete,ckan.logic.action.delete.,"Delete a dataset (package) relationship. You must be authorised to delete dataset relationships, and to edit both
the subject and the object datasets.",/package_relationship_delete
ckan.logic.action.delete.member_delete,member_delete,ckan.logic.action.delete.,"Remove an object (e.g. a user, dataset or group) from a group. You must be authorized to edit a group to remove objects from it.",/member_delete
ckan.logic.action.delete.group_delete,group_delete,ckan.logic.action.delete.,Delete a group. You must be authorized to delete the group.,/group_delete
ckan.logic.action.delete.organization_delete,organization_delete,ckan.logic.action.delete.,Delete an organization. You must be authorized to delete the organization.,/organization_delete
ckan.logic.action.delete.group_purge,group_purge,ckan.logic.action.delete.,"Purge a group. Purging a group completely removes the group from the CKAN database,
whereas deleting a group simply marks the group as deleted (it will no
longer show up in the frontend, but is still in the db). Datasets in the organization will remain, just not in the purged group. You must be authorized to purge the group.",/group_purge
ckan.logic.action.delete.organization_purge,organization_purge,ckan.logic.action.delete.,"Purge an organization. Purging an organization completely removes the organization from the CKAN
database, whereas deleting an organization simply marks the organization as
deleted (it will no longer show up in the frontend, but is still in the
db). Datasets owned by the organization will remain, just not in an
organization any more. You must be authorized to purge the organization.",/organization_purge
ckan.logic.action.delete.task_status_delete,task_status_delete,ckan.logic.action.delete.,Delete a task status. You must be a sysadmin to delete task statuses.,/task_status_delete
ckan.logic.action.delete.vocabulary_delete,vocabulary_delete,ckan.logic.action.delete.,Delete a tag vocabulary. You must be a sysadmin to delete vocabularies.,/vocabulary_delete
ckan.logic.action.delete.tag_delete,tag_delete,ckan.logic.action.delete.,Delete a tag. You must be a sysadmin to delete tags.,/tag_delete
ckan.logic.action.delete.unfollow_user,unfollow_user,ckan.logic.action.delete.,Stop following a user.,/unfollow_user
ckan.logic.action.delete.unfollow_dataset,unfollow_dataset,ckan.logic.action.delete.,Stop following a dataset.,/unfollow_dataset
ckan.logic.action.delete.group_member_delete,group_member_delete,ckan.logic.action.delete.,Remove a user from a group. You must be authorized to edit the group.,/group_member_delete
ckan.logic.action.delete.organization_member_delete,organization_member_delete,ckan.logic.action.delete.,Remove a user from an organization. You must be authorized to edit the organization.,/organization_member_delete
ckan.logic.action.delete.unfollow_group,unfollow_group,ckan.logic.action.delete.,Stop following a group.,/unfollow_group
ckan.logic.action.delete.job_clear,job_clear,ckan.logic.action.delete.,Clear background job queues. Does not affect jobs that are already being processed.,/job_clear
ckan.logic.action.delete.job_cancel,job_cancel,ckan.logic.action.delete.,Cancel a queued background job. Removes the job from the queue and deletes it.,/job_cancel


Type,Local Number,Message,Field 1,Value 1,Units 1,Field 2,Value 2,Units 2,Field 3,Value 3,Units 3,Field 4,Value 4,Units 4,Field 5,Value 5,Units 5,Field 6,Value 6,Units 6,
Definition,0,file_id,manufacturer,1,,type,1,,product,1,,serial_number,1,,
Data,0,file_id,manufacturer,"15",,type,"4",,garmin_product,"9001",,serial_number,"1701",,
Definition,0,developer_data_id,application_id,16,,developer_data_index,1,,,,,,,,
Data,0,developer_data_id,application_id,"1|1|2|3|5|8|13|21|34|55|89|144|233|121|98|219",,developer_data_index,"0",,,,,,,,
Definition,0,field_description,developer_data_index,1,,field_definition_number,1,,fit_base_type_id,1,,field_name,17,,units,10,,
Data,0,field_description,developer_data_index,"0",,field_definition_number,"0",,fit_base_type_id,"1",,field_name,"doughnuts_earned",,units,"doughnuts",,
Definition,0,record,heart_rate,1,,cadence,1,,distance,1,,speed,1,,doughnuts_earned,1,,
Data,0,record,heart_rate,"140",bpm,cadence,"88",rpm,distance,"510.0",m,speed,"47.488",m/s,enhanced_speed,"47.488",m/s,doughnuts_earned,"1",doughnuts,
Data,0,record,heart_rate,"143",bpm,cadence,"90",rpm,distance,"2080.0",m,speed,"36.416",m/s,enhanced_speed,"36.416",m/s,doughnuts_earned,"2",doughnuts,
Data,0,record,heart_rate,"144",bpm,cadence,"92",rpm,distance,"3710.0",m,speed,"35.344",m/s,enhanced_speed,"35.344",m/s,doughnuts_earned,"3",doughnuts,


,Date,Study,Study Link,Journal,Study Type,Factors,Influential,Excerpt,Measure of Evidence,Added on
0,2020-04-27,Proactive social distancing mitigates COVID-19 outbreaks within a month across 58 mainland China cities,https://www.medrxiv.org/content/10.1101/2020.04.22.20075762v2.full.pdf,MedRxiv,Modeling Study,gathering bans; suspension of intra-city public transport; public service restrictions; case isolation; suspension of travel between cities; quarantine and social distancing,Y,"N/A; after the implementation of social distancing interventions, with an average reduction in the reproduction number (Rt) of 54.3% (SD 17.6%) over that time period","Countries: China; Timeline:  February 14, 2020",05/11/2020
1,2020-04-22,Impact of Social Distancing Measures on COVID-19 Healthcare Demand in Central Texas,https://www.medrxiv.org/content/10.1101/2020.04.16.20068403v1,MedRxiv,Modeling Study,school closures coupled with social distancing,Y,"ICU bed demand: 2,121 (95% CI: 2,018-2,208); ICU bed demand: 698 (95% CI: 204-1,100) with 75% social distancing and 136 (95% CI: 38-308) with 90% social distancing","Countries: Texas, United States; Timeline: August 15th, 2020",05/11/2020
2,2020-04-14,A Stratified Model to Quantify the Effects of Containment Policies on the Spread of COVID-19,https://doi.org/10.1101/2020.04.10.20060681,medRxiv,Modeling Study,"schools and universities closed + elderly social distancing: interactions of [0-20] age groups decreases to 20%, interactions of 70+ age groups decreases to 25%",Y,uncontained: eventual removed ratio 65.29%; maximum instantaneous infectious ratio 11.03%; R0 2.28; schools closed and elderly social distancing: eventual removed ratio 39.08%; maximum instantaneous infectious ratio 5.60%; R0 1.68,Countries: Iran Timeline: first 90 days COVID-19 spread,04/19/2020
3,2020-04-14,A Stratified Model to Quantify the Effects of Containment Policies on the Spread of COVID-19,https://doi.org/10.1101/2020.04.10.20060681,medRxiv,Modeling Study,"schools, offices, and companies closed : interactions of [0-20] age groups decreases to 20% and interactions of [20-70] age range decreases to 50%",Y,"uncontained: eventual removed ratio 65.29%; maximum instantaneous infectious ratio 11.03%; R0 2.28; schools, offices, and companies closed: eventual removed ratio 24.97%; maximum instantaneous infectious ratio 3.98%; R0 1.49",Countries: Iran Timeline: first 90 days COVID-19 spread,04/19/2020
4,2020-04-06,Sustainable social distancing through facemask use and testing during the Covid-19 pandemic,https://www.medrxiv.org/content/10.1101/2020.04.01.20049981v3,medRxiv,Modeling Study,"social protection (e.g., facemask use, handwashing) and self-isolation after testing positive (TTI)",Y,"R0 has been estimated at 2.4; 65% effective social protection R < 1; , 20% effective social protection brings the reproduction number below 1.0 so long as 75% of the symptomatic population is covered by TTI within 12 hours of symptom onset (Fig. 1A and Appendix). Even with 20% effective social protection, TTI of 1 in 4 symptomatic individuals can substantially “flatten the curve”, cutting the peak daily incidence in half",individuals : 10000000; Timeline: Unknown,04/15/2020
5,2020-03-30,"General Model for COVID-19 Spreading with Consideration of Intercity Migration, Insufficient Testing and Active Intervention: Application to Study of Pandemic Progression in Japan and USA",https://doi.org/10.1101/2020.03.25.20043380,medRxiv,Modeling Study,intercity travel and active intervention,Y,"if the level of active intervention is kept unchanged, the percentage of population eventually infected in Osaka-fu and Tokyo-to will reach around 12% and 4.2% of the population (around 2,300,000 and 600,000 people), respectively, and in total, Japan will have about 6.55% of its population eventually infected, if the level of active intervention remains at the status quo in the coming months, with California and New York state having around 15% and 37.5% of their population (5,800,000 and 7,300,000 people) eventually infected, respectively, and the overall infected population will reach 18.2%; implementing a four-fold elevated active intervention will improve the situation substantially, with the percentage of population infected in Osaka-fu and Tokyo-to reduced to 4.2% and 2.3%, respectively, and over 75% reduction in the overall number of infected cases in Japan, by implementing four-fold elevated active intervention, the percentage of infected population in the USA can be reduced to 9.3%.","Countries: Japan, USA; Timeline: Jan 15th - March 20th",04/11/2020
6,2020-03-25,"The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study The Lancet Public Health",https://doi.org/10.1016/S2468-2667(20)30073-6,Lancet Pub Health,Modeling Study,physical distancing measures with staggered return to work,Y,N/A; Physical distancing measures were most effective if the staggered return to work was at the beginning of April; this reduced the median number of infections by more than 92% (IQR 66–97) and 24% (13–90) in mid-2020 and end-2020,countries: China; cities: Wuhan; timeline: 1 year,04/10/2020
7,2020-03-23,Interventions to mitigate early spread of SARS-CoV-2 in Singapore: a modelling study The Lancet Infectious Diseases,https://www.thelancet.com/journals/lancet/article/PIIS1473-3099(20)30162-6/fulltext,Lancet Infect Dis,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"For the baseline scenario, when R0 was 1·5, the median cumulative number of infections at day 80 was 279 000 (IQR 245 000–320 000), corresponding to 7·4% (IQR 6·5–8·5) of the resident population of Singapore. The median number of infections increased with higher infectivity: 727 000 cases (670 000–776 000) when R0 was 2·0, corresponding to 19·3% (17·8–20·6) of the Singaporean population, and 1 207 000 cases (1 164 000–1 249 000) when R0 was 2·5, corresponding to 32% (30·9–33·1) of the Singaporean population; Compared with the baseline scenario, the combined intervention was the most effective, reducing the estimated median number of infections by 99·3% (IQR 92·6–99·9) when R0 was 1·5, by 93·0% (81·5–99·7) when R0 was 2·0, and by 78·2% (59·0 −94·4) when R0 was 2·5. Assuming increasing asymptomatic fractions up to 50·0%, up to 277 000 infections were estimated to occur at day 80 with the combined intervention relative to 1800 for the baseline at R0 of 1·5.",Countries: Singapore; Timeline: Day 80,04/08/2020
8,2020-03-23,Effectiveness and cost-effectiveness of public health measures to control COVID-19: a modelling study,https://doi.org/10.1101/2020.03.20.20039644,medRxiv,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"N/A; The effective reproduction number (Re) was 1.84 (95%CI: 1.81, 1.87) and 3.80 (95%CI: 3.53, 4.06) respectively when the transmission constant was one in scenario I and II (Additional file 1: Table S4). Varying the transmission constant from the 0.25 to two, the isolation-and-quarantine was the most cost-effective single intervention, and program A was the most cost-effective joint intervention.",-,04/08/2020
9,2020-03-23,The Effectiveness of Social Distancing in Mitigating COVID-19 Spread: a modelling analysis,https://doi.org/10.1101/2020.03.20.20040055,medRxiv,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"66% infection rate (179,788 infected individuals) - no activation delay, SC = school closure , CI = case isolation, WN = workplace non-attendance , CCR = community contact reduction ; ""SC + CI + 50% WN + 30% CCR: 1.14% IR (3,094), SC + CI + 90% WN + 70% CCR: 0.42% IR (1,131) """,Countries: Australia; cities: Newcastle; Timeline: 10 weeks,04/08/2020
10,2020-03-23,The Effectiveness of Social Distancing in Mitigating COVID-19 Spread: a modelling analysis,https://doi.org/10.1101/2020.03.20.20040055,medRxiv,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"1 week delay: SC + CI + 50% WN + 30% CCR: 1.11% IR (3,015); SC + CI + 90% WN + 70% CCR: 0.42% IR (1,151)",Countries: Australia; cities: Newcastle; Timeline: 10 weeks,04/08/2020
11,2020-03-23,The Effectiveness of Social Distancing in Mitigating COVID-19 Spread: a modelling analysis,https://doi.org/10.1101/2020.03.20.20040055,medRxiv,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"2 week delay: SC + CI + 50% WN + 30% CCR: 1.15% IR (3,140); SC + CI + 90% WN + 70% CCR: 0.43% IR (1,166)",Countries: Australia; cities: Newcastle; Timeline: 10 weeks,04/08/2020
12,2020-03-23,The Effectiveness of Social Distancing in Mitigating COVID-19 Spread: a modelling analysis,https://doi.org/10.1101/2020.03.20.20040055,medRxiv,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"3 week delay: SC + CI + 50% WN + 30% CCR: 1.21% IR (3,302); SC + CI + 90% WN + 70% CCR: 0.46% IR (1,255)",Countries: Australia; cities: Newcastle; Timeline: 10 weeks,04/08/2020
13,2020-03-23,The Effectiveness of Social Distancing in Mitigating COVID-19 Spread: a modelling analysis,https://doi.org/10.1101/2020.03.20.20040055,medRxiv,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"4 week delay: SC + CI + 50% WN + 30% CCR: 1.34% IR (3,642); SC + CI + 90% WN + 70% CCR: 0.52% IR (1,414)",Countries: Australia; cities: Newcastle; Timeline: 10 weeks,04/08/2020
14,2020-03-23,The Effectiveness of Social Distancing in Mitigating COVID-19 Spread: a modelling analysis,https://doi.org/10.1101/2020.03.20.20040055,medRxiv,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"5 week delay: SC + CI + 50% WN + 30% CCR: 1.61% IR (4,384); SC + CI + 90% WN + 70% CCR: 0.64% IR (1,730)",Countries: Australia; cities: Newcastle; Timeline: 10 weeks,04/08/2020
15,2020-03-23,The Effectiveness of Social Distancing in Mitigating COVID-19 Spread: a modelling analysis,https://doi.org/10.1101/2020.03.20.20040055,medRxiv,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"6 week delay: SC + CI + 50% WN + 30% CCR: 2.11% IR (5,735); SC + CI + 90% WN + 70% CCR: 0.84% IR (2,229)",Countries: Australia; cities: Newcastle; Timeline: 10 weeks,04/08/2020
16,2020-03-23,The Effectiveness of Social Distancing in Mitigating COVID-19 Spread: a modelling analysis,https://doi.org/10.1101/2020.03.20.20040055,medRxiv,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"7 week delay: SC + CI + 50% WN + 30% CCR: 2.87% IR (7,811); SC + CI + 90% WN + 70% CCR: 1.21% IR (3,309)",Countries: Australia; cities: Newcastle; Timeline: 10 weeks,04/08/2020
17,2020-03-23,The Effectiveness of Social Distancing in Mitigating COVID-19 Spread: a modelling analysis,https://doi.org/10.1101/2020.03.20.20040055,medRxiv,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"8 week delay: SC + CI + 50% WN + 30% CCR: 4.33% IR (11,800); SC + CI + 90% WN + 70% CCR: 1.85% IR (5,034)",Countries: Australia; cities: Newcastle; Timeline: 10 weeks,04/08/2020
18,2020-03-23,The Effectiveness of Social Distancing in Mitigating COVID-19 Spread: a modelling analysis,https://doi.org/10.1101/2020.03.20.20040055,medRxiv,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"9 week delay: SC + CI + 50% WN + 30% CCR: 6.49% IR (17,672)SC + CI + 90% WN + 70% CCR: 2.95% IR (8,041)",Countries: Australia; cities: Newcastle; Timeline: 10 weeks,04/08/2020
19,2020-03-23,The Effectiveness of Social Distancing in Mitigating COVID-19 Spread: a modelling analysis,https://doi.org/10.1101/2020.03.20.20040055,medRxiv,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"10 week delay: SC + CI + 50% WN + 30% CCR: 9.51% IR (25,904); SC + CI + 90% WN + 70% CCR: 4.76% IR (12,966)",Countries: Australia; cities: Newcastle; Timeline: 10 weeks,04/08/2020
20,2020-03-19,Impact of self-imposed prevention measures and short-term government intervention on mitigating and delaying a COVID-19 epidemic,https://www.medrxiv.org/content/10.1101/2020.03.12.20034827v3,medRxiv,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"Baseline model predicts 46 diagnoses per 1000 individuals at the peak of the 199 epidemic, an attack rate of about 16% and the time to the peak of about 5.2 months; 65% reduction in the peak number of diagnoses, a 29% decrease in the 208 attack rate, and a delay in peak timing of 2.7 months",Countries: Netherlands; Timeline: Unknown,04/29/2020
21,2020-03-13,Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data,https://doi.org/10.1101/2020.03.11.20034314,medRxiv,Modeling Study,implementation of the major public policy interventions,Y,"The total reported cases is approximately 4, 500 and the total unreported cases is approximately 1, 100; Total reported cases with implementation delayed by one week 820,000 and unreported 200,900",Countries: Mainland China; Timeline: Jan 20th - Jan 29th,04/10/2020
22,2020-03-11,Modeling the epidemic dynamics and control of COVID-19 outbreak in China,https://doi.org/10.1007/s40484-020-0199-0,Quantitative Biology,Modeling Study,strict quarantine and traffic control measures,Y,Ro = 4.7092; Ro = 0.7575,Countries: China cities: Wuhan; Timeline: Jan 30th - Feb 15th 2020,04/11/2020
23,2020-03-11,Modeling the epidemic dynamics and control of COVID-19 outbreak in China,https://doi.org/10.1007/s40484-020-0199-0,Quantitative Biology,Modeling Study,strict quarantine and traffic control measures,Y,Ro =  5.934; Ro = 0.6079,"Countries: China Hubei (excluding Wuhan), China; Timeline: Jan 30th - Feb 15th 2020",
24,2020-03-11,Modeling the epidemic dynamics and control of COVID-19 outbreak in China,https://doi.org/10.1007/s40484-020-0199-0,Quantitative Biology,Modeling Study,strict quarantine and traffic control measures,Y,Ro =  1.5283; Ro = 0.5753,Countries: China mainland (excluding Hubei); Timeline: Jan 30th - Feb 15th 2020,
25,2020-03-11,Modeling the epidemic dynamics and control of COVID-19 outbreak in China,https://doi.org/10.1007/s40484-020-0199-0,Quantitative Biology,Modeling Study,strict quarantine and traffic control measures,Y,Ro =  0.884; Ro = 0.5254,Countries: China cities: Beijing; Timeline: Jan 30th - Feb 15th 2020,
26,2020-03-11,Modeling the epidemic dynamics and control of COVID-19 outbreak in China,https://doi.org/10.1007/s40484-020-0199-0,Quantitative Biology,Modeling Study,strict quarantine and traffic control measures,Y,Ro =  3.6288; Ro =  0.5104,Countries: China cities: Shanghai; Timeline: Jan 30th - Feb 15th 2020,
27,2020-03-11,Modeling the epidemic dynamics and control of COVID-19 outbreak in China,https://doi.org/10.1007/s40484-020-0199-0,Quantitative Biology,Modeling Study,strict quarantine and traffic control measures,Y,Ro = 1.2026; Ro = 0.5082,Countries: China cities: Guangzhou; Timeline: Jan 30th - Feb 15th 2020,
28,2020-03-11,Modeling the epidemic dynamics and control of COVID-19 outbreak in China,https://doi.org/10.1007/s40484-020-0199-0,Quantitative Biology,Modeling Study,strict quarantine and traffic control measures,Y,Ro =  5.934; Ro = 0.5331,Countries: China cities: Shenzhen; Timeline: Jan 30th - Feb 15th 2020,
29,2020-03-09,"The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study",https://doi.org/10.1016/S2468-2667(20)30073-6,medRxiv,Modeling Study,non-pharmaceutical physical distancing interventions i.e. school closures and workplace distancing,Y,N/A; Physical distancing measures were most effective if the staggered return to work was at the beginning of April; this reduced the median number of infections by more than 92% (IQR 66–97) and 24% (13–90) in mid-2020 and end-2020,Countries: China cities: Wuhan; Timeline: Jan-18th - April 2020,4/10/20
30,2020-03-06,The impact of social distancing and epicenter lockdown on the COVID-19 epidemic in mainland China: A data-driven SEIQR model study,https://doi.org/10.1101/2020.03.04.20031187,medRxiv,Modeling Study,social distancing and epicenter lockdown,Y,"N/A;  With 30 days of substantial social distancing, the reproductive number in Wuhan and Hubei was reduced from 2.2 (95%-CI: 1.4~3.9) to 1.58 (95%-CI: 1.34~2.07), and in other provinces from 2.56 (95%-CI: 2.43~2.63) to 1.65 (95%-CI: 1.56~1.76)",Countries: China; provinces: Hubei; Timeline: Jan 18th- Feb 18th,04/30/2020
31,2020-03-06,Effect of non-pharmaceutical interventions for containing the COVID-19 outbreak in China,https://doi.org/10.1101/2020.03.03.20029843,medRxiv,Modeling Study,"inter-city travel restriction, inner-city contact reduction, case early detection and isolation",Y,"114,325 COVID-19 cases ( [IQR] 76,776 - 164,576); Without NPIs, the number of COVID-19 cases would likely have shown a 67-fold increase (IQR: 44 - 94), with the effectiveness of different interventions varying",,04/08/2020
32,2020-03-06,"Evolving Epidemiology and Impact of Non-pharmaceutical Interventions on the Outbreak of Coronavirus Disease 2019 in Wuhan, China",https://doi.org/10.1101/2020.03.03.20030593,medRxiv,Modeling Study,"social distancing measures and policies of controlling the source of infection with joint efforts from the government, healthcare workers, and the people",Y,3.86 reproduction number (95% credible interval 3.74 to 3.97); 0.32 reproduction number (95% credible interval 0.28 to 0.37),Countries: China; cities: Wuhan; Timeline: Jan 11th - Feb 18th,04/15/2020
33,2020-03-03,A simple model to assess Wuhan lock-down effect and region efforts during COVID-19 epidemic in China Mainland,https://doi.org/10.1101/2020.02.29.20029561,medRxiv,Modeling Study,Wuhan lock-down combined with nationwide traffic restrictions and Stay At Home Movement,Y,"N/A ;even the lock-down date only in advance 3 days with normal and strict strength, the estimated number will reduce 30.74% (21,245 cases) and 48.59% (15,768 cases), respectively","Countries: China cities: Wuhan, Non-Wuhan Region; Timeline: January 24 - February 15, 2020",04/15/2020
34,2020-02-13,"Early epidemiological assessment of the transmission potential and virulence of coronavirus disease 2019 (COVID-19) in Wuhan City: China, January-February, 2020",https://doi.org/10.1101/2020.02.12.20022434,medRxiv,Modeling Study,enhanced public health intervention,Y,"Our posterior estimates of basic reproduction number (R) in Wuhan City, China in 46 2019–2020 reached values as high as 5.20 (95%CrI: 5.04–5.47);  the enhanced public health intervention after January 23rd 47 in 2020 was associated with a declined R at 0.58 48 (95%CrI: 0.51–0.64)",Countries: China cities: Wuhan; Timeline: January 23rd 2020,04/15/2020
35,2020-02-12,Simulating the infected population and spread trend of 2019-nCov under different policy by EIR model medrxiv,https://doi.org/10.1101/2020.02.10.20021519,medRxiv,Modeling Study,"government quarantine prevention measures i.e. mass gathering cancellations, spring semester postponement",Y,"with 100% quarantined rate Peak date: Feb 16th with 49,093 individuals confirmed; Peak date: Feb 16th with 49,093 individuals confirmed","Countries: Mainland China; Timeline: Dec. 1, 2019 - Apr. 30, 2020",04/15/2020
36,2020-02-12,Simulating the infected population and spread trend of 2019-nCov under different policy by EIR model medrxiv,https://doi.org/10.1101/2020.02.10.20021519,medRxiv,Modeling Study,"government quarantine prevention measures i.e. mass gathering cancellations, spring semester postponement",Y,"90% quarantined rate; Peak date: Feb 17th with 51,605 individuals confirmed",,
37,2020-02-12,Simulating the infected population and spread trend of 2019-nCov under different policy by EIR model medrxiv,https://doi.org/10.1101/2020.02.10.20021519,medRxiv,Modeling Study,"government quarantine prevention measures i.e. mass gathering cancellations, spring semester postponement",Y,"80% quarantined rate; Peak date: Feb 18th with 55,059 individuals confirmed",,
38,2020-02-12,Simulating the infected population and spread trend of 2019-nCov under different policy by EIR model medrxiv,https://doi.org/10.1101/2020.02.10.20021519,medRxiv,Modeling Study,"government quarantine prevention measures i.e. mass gathering cancellations, spring semester postponement",Y,"70% quarantined rate; Peak date: Feb 19th with 59,953 individuals confirmed",,
39,2020-02-12,Simulating the infected population and spread trend of 2019-nCov under different policy by EIR model medrxiv,https://doi.org/10.1101/2020.02.10.20021519,medRxiv,Modeling Study,"government quarantine prevention measures i.e. mass gathering cancellations, spring semester postponement",Y,"63% quarantined rate; Peak date: Feb 20th with 64,740 individuals confirmed",,
40,2020-02-11,Spatially Explicit Modeling of 2019-nCoV Epidemic Trend based on Mobile Phone Data in Mainland China,https://doi.org/10.1101/2020.02.09.20021360,medRxiv,Modeling Study,"self-isolation, quaratine, current control efforts",Y,"the current trend maintained, control efforts expanded, and person-to-person contact increased due to work resuming. We estimated that the total infections in mainland China would be 72172, 54348, and 149774 by March 12, 2020 under each scenario respectively; if the current trend is maintained (scenario 1), 95.4% cities can eliminate the disease by the end of February and all of them can succeed by March 12. With control efforts expanded (scenario 2), all cities except Wuhan will completely control the disease by the end of February. However, only 75.7% cities can completely win the battle against 2019-nCoV by the end of February if person-to-person contacts increase due to work resuming (scenario 3)","Countries: China; Timeline: Feb 29th, 2020",04/15/2020


type,rank,category,item_name,short_description,long_description,allocation,amount,reaction,reaction_amount
spend,1,Health,the National Health Mission,Raise allocation for the National Health Mission (NHM),"Among major economies, India is an outlier when it comes to health spending, with less than 2 percent of gross domestic product (GDP) allocated to health. This has contributed to a high disease burden in the country, and has pushed millions into poverty.",26691,".5,1",,
spend,2,Justice,the judiciary,Raise allocation for judiciary,"The pendency rate in India's courts has been rising with each passing year (http://www.livemint.com/Politics/1vsBJNtsqgpzUlV31BbmWL/Why-the-wheels-of-justice-turn-ever-slower-in-India.html). One reason for this is weak judicial infrastructure, and lack of enough judges.",1062,".5,1",,
spend,3,Law and order,modernising the police force,Modernise police force,"Law and order is a state subject but given critical weaknesses in states' policing infrastructure as well as the federal nature of several organized crime rackets, the Centre should assist in modernizing the police forces and in upgrading police infrastructure.",2022,".5,1",,
spend,4,School education,schools,Raise allocation for schools (Sarva Shiksha Abhiyan),"The schooling mission has missed two deadlines for universal schooling, once in 2013 and again in 2015. And while enrollment rates have been rising, learning outcomes continue to remain poor. Higher spending based on a plan to improve learning outcomes is vital to equalize opportunities across income classes and social groups, and to secure the future of the country.",23500,".5,1",,
spend,5,Pollution control,the Central Pollution Control Board,Raise allocation for the Central Pollution Control Board,"Pollution has reached crises levels in many parts of the country. There is a need to empower the pollution control board and give it adequate resources to tackle the problem. At the very least, it should be able to monitor the <a href='https://thenounproject.com/search/?q=pollution&i=1437618'>levels of pollution accurately in areas beyond the National Capital Region (NCR)</a>.",74,".5,1,3",,
spend,6,Better data and monitoring,the Ministry of Statistics and Program Implementation,Raise allocation for the Ministry of Statistics and Program Implementation,"Once the envy of the world, India's statistical system has decayed over the years. In a democracy, it is imperative to have accurate, credible, open, and timely data on important socio-economic indicators. Data is the key to ensure that funds spent across departments and ministries are leading to the desired outcomes. The only way to ensure this is to have a high-quality and autonomous statistics office: both these aspects need attention.",4796,".5,1",,
spend,7,Pensions,the National Old Age Pension Scheme,Raise allocation for the National Old Age Pension Scheme (NOAPS),"Last month, 60 economists wrote to the Finance Minister urging him to raise social sector outlays in the upcoming Budget. On top of their list was higher allocation for the NOAPS program. &ldquo;NOAPS is a good scheme (with low leakages and administrative costs) that reaches some of the poorest members of society,&rdquo; the letter said. All individuals above the age of 60 who live below the poverty line are eligible for this scheme.",6127,".5,1",,
spend,8,Rural roads,rural roads,Raise allocation for rural roads (Pradhan Mantri Gram Sadak Yojana),"Rural roads tend to have a multiplier effect on rural incomes, and tend to boost wages and productivity, according to economists.",19000,".5,1",,
spend,9,Rural electrification,rural electrification,Raise allocation for rural electrification (Deen Dayal Upadhyaya Gram Jyoti Yojna),"Access to power can transform lives and businesses, and enable the use of a number of time-saving devices, boosting productivity in the hinterlands. One of the early successes of China was its extensive rural electrification program before its growth take-off.",4814,".5,1",,
spend,10,Modernize defence forces,modernising defence forces,Raise defence capital outlay,"According to defence experts, India's defence forces are crying for modernization. Surrounded by two nuclear powers, India cannot afford to take its defence requirements lightly.",86488,".5,1",,
spend,11,Agricultural Extension,hiring and training farm extension workers,Hire and train more farm extension workers,"Farm extension workers are frontline workers of the agricultural research establishment, who desseminate research findings, and help farmers cope with the growing risks involved in farming. Their services are essential to raise farm incomes, and yet spending on the agricultural extension scheme was slashed drastically in the last Union budget.",233,".5,1,3",,
spend,12,Digital India,modernising land records,Modernise land records,"Rural India's bane is the lack of land titles and poor record-keeping. Launched in 2008, the Digital India Land Records Modernisation Programme aims to correct this. Accurate land records could enable land leasing, speed up transactions, and stimulate rural investments.",150,".5,1,3",,
cut,1,Energy and Climate change,fuel subsidies,Reduce fuel subsidies,A large chunk of fuel subsidies benefit the rich. They also thwart efforts to fight climate change.,25000,".5,1","Eliminating fuel subsidies completely is likely to hit a section of the poor, who depend on kerosene.",1
cut,2,Farming,feriliser subsidies,Cut fertiliser subsidies,"According to economists, fertilizer subsidies are regressive, benefiting large farmers in irrigated parts of the country much more than small and marginal farmers in rain-fed parts of the country.",70000,".5,1","Big farmers are not going to be happy with fertiliser subisdy cuts, and they could make for inconvenient opponents come next election.",".5,1"
cut,3,Separation of powers,MPLAD,Scrap or cut back on the Member of Parliament Local Area Development (MPLAD) scheme,"The Member of Parliament Local Area Development (MPLAD) scheme has been plagued by corruption ever since it started in 1993. Perhaps more importantly, it challenges the constitutional separation of duties of different arms of the sovereign. The MPLAD scheme &ldquo;seriously erode[s] the notion of separation of powers, as the legislator directly becomes the executive,&rdquo; the Second Administrative Reforms Commission <a href='http://arc.gov.in/4threport.pdf'>said in 2007</a>.",3950,".5,1",Scrapping MPLAD is likely to upset your local representative. Be careful about making powerful enemies.,1
cut,4,Communication,BharatNet,Scrap or cut back on BharatNet,BharatNet is a government-funded broadband provider founded in 2012. It has already missed a December 2017 deadline to connect all Gram Panchayats. It also seems redundant given the decline in telecom tariffs and rising penetration of private telecom providers.,10000,".5,1",,
cut,5,Publicity,information and publicity,Cut support for information and publicity,"The government should let its work speak for itself, and cut back on publicity for schemes which do not require a mass media outreach program.",860.4,".5,1",,
cut,6,Broadcasting,the public broadcaster,Reduce support for the public broadcaster,The government should corporatize Prasar Bharti and force it to raise resources on its own.,3427,".5,1",,
cut,7,Art and Culture,promoting art and culture,Reduce support for promoting art and culture,"As in many other economies, private firms and wealthy patrons should be roped in to promote the arts, allowing the state to exit from a non-core function.",2461.05,".5,1","There could be a public outcry if you eliminate support for arts and culture. Even though it is not much money, many citizens care deeply about public funding for arts.",1
cut,8,Scientific temper,National AYUSH Mission,Scrap the National AYUSH Mission,"The government's promotion of homeopathy is at odds with scientific evidence that disputes its efficacy. By eliminating budgetary support to this scheme, the government would help develop scientific temper, which is one of the fundamental duties of every Indian citizen, according to the Indian Constitution.",440.5,".5,1",You will displease fans of alternative medicine by cutting funds for the National Ayush Mission.,".5,1"
cut,9,Clean Ganga,Clean Ganga mission,Cut back on the Clean Ganga Mission,"Launched with much fanfare, the scheme has little to show in terms of results. The Clean Ganga mission has faced censure from the National Green Tribunal (NGT) as well as the Comptroller and Auditor General (CAG) for lack of pollution abatement works, unutilized funds, and the lack of long-term planning.",2300,".5,1",Many environmentalists and some Hindu groups support the Clean Ganga Mission.,1
cut,10,Skill India,Skill India Initiative,Reduce support for Skill India initiative (Pradhan Mantri Kaushal Vikas Yojana),"The flagship scheme under the Skill India program has failed to live up to expectations. In its 2017 report, a government-appointed committee led by Sharda Prasad found that the targets under the program were too ambitious, and funds spent on the program were not subject to adequate monitoring. Job placements under the scheme have been poor even as the scheme ended up enriching private institutes which offered, or claimed to offer, vocational training to youth.",2924.26,".5,1",,
cut,11,Modernisation of railways,railways development,Dial back support for railways development,"The government has been inefficient in running Indian Railways, and the rail system continues to depend on government largesse for modernisation as well as rountine mainentance. It is time to cut back budgetary support for the railways, and force it to raise its own resources.",55000,".5,1",,
cut,12,Food and Nutrition,food subsidies,Cut food subsidies,"Food subsidies are less regressive than fertilizer or petroleum subsidies but still suffer from inefficient management by the Food Corporation of India (FCI) and from leakages in the public distribution system (PDS). The Shanta Kumar committee on food management reforms estimated that moving away from food-based transfers to cash transfers in large cities alone could save the exchequer Rs 30,000 crore annually.",145338.6,".25,.5,1","Major cuts to food subsidies will likely to hurt many poor households, which depend upon the public distribution system. People could starve.",".5,1"

id,acquiring_company_name,acquiring_object_id,acquired_company_name,acquired_object_id,price_amount,funding_total_usd,status
1,Facebook,c:5,FriendFeed,c:1001,47500000,5000000,acquired
5,,,"ITOG, Inc.",c:10153,0,205000,closed
6,AOL,c:351,StudioNow,c:10158,36500000,15286415,acquired
7,Microsoft,c:1242,Yammer,c:10176,1200000000,142000000,acquired
9,Cisco,c:28,PostPath,c:10197,215000000,24300000,acquired
13,,,PlayerDuel,c:103204,0,21189,closed
15,,,Picateers,c:10398,0,12100000,closed
19,AOL,c:351,Surphace,c:105,25000000,3500000,acquired
20,Iron Mountain,c:21154,Mimosa Systems,c:10512,112000000,53816776,acquired
22,Vocus,c:4687,iContact,c:106,169000000,53350000,acquired
23,,,Geodelic Systems,c:10610,0,10500000,closed
25,Shanda Games,c:34079,Mochi Media,c:1069,80000000,14000000,acquired
27,,,Pixelpipe,c:10751,0,2300000,closed
29,Monsanto,c:29610,The Climate Corporation,c:1078,930000000,108900000,acquired
30,GSI Commerce,c:28712,FetchBack,c:10864,40000000,1000000,acquired
31,Yahoo!,c:29,Tumblr,c:1088,1100000000,125250000,acquired
33,,,ConSentry Networks,c:10913,0,46400000,closed
34,TIBCO Software,c:4967,LogLogic,c:10915,130000000,8800000,acquired
35,,,Semantra,c:10969,0,9100000,closed
39,,,Buzzwire,c:1120,0,12000000,closed
42,,,B-Side Entertainment,c:11397,0,7350000,closed
45,,,Predictify,c:1148,0,4300000,closed
46,,,WeAre.Us,c:11498,0,50000,closed
50,,,MyShape,c:11817,0,28000000,closed
51,NETGEAR,c:16675,Avaak,c:11888,31000000,17000000,acquired
52,,,Songbird,c:1205,0,11015719,closed
53,Amazon,c:317,Kiva Systems,c:12052,775000000,11600000,acquired
55,,,SolFocus,c:12099,0,211403000,closed
56,,,GridNetworks,c:1212,0,30000000,closed
57,AOL,c:351,Quigo,c:1214,363000000,35000000,acquired
58,IBM,c:3246,Guardium,c:12171,225000000,11800000,acquired
60,Salesforce,c:1972,ExactTarget,c:12178,2500000000,238209999,acquired
61,,,Vontoo,c:12179,0,2192000,closed
62,,,DubMeNow,c:12224,0,7516703,closed
64,DG,c:13228,Peer39,c:1224,15500000,29915001,acquired
65,McAfee,c:14236,MX Logic,c:12285,140000000,4000000,acquired
66,Oracle Corporation,c:2680,Vitrue,c:1234,300000000,33000000,acquired
67,Google,c:59,"Wildfire, a division of Google",c:12348,350000000,14100000,acquired
70,,,Faves,c:1253,0,1500000,closed
71,,,Goodmail Systems,c:12630,0,45000000,closed
73,IBM,c:3246,Trusteer,c:12723,800000000,10100000,acquired
74,Microsoft,c:1242,Farecast,c:128,115000000,20600000,acquired
75,Reply! Inc.,c:1316,MerchantCircle,c:1283,60000000,14300000,acquired
76,,,Minekey,c:1284,0,3600000,closed
77,Taylor Nelson Sofres,c:3063,Compete,c:1285,150000000,33000000,acquired
80,,,Newmerix,c:13006,0,7000000,closed
82,Google,c:59,DocVerse,c:13046,25000000,1300000,acquired
83,Green Dot Corporation,c:35247,Loopt,c:1309,43000000,32006000,acquired
85,,,CV Ingenuity,c:131583,0,30926154,closed
86,Monster,c:1735,Trovix,c:13168,72500000,18250000,acquired
88,,,GetBack,c:13277,0,1700000,closed
89,,,Q-magic,c:13358,0,650000,closed
91,,,GlobalCrypto,c:13410,0,1000000,closed
93,LiveUniverse,c:2358,Pageflakes,c:135,3000000,4100000,acquired
95,,,Planet Metrics,c:13504,0,2300000,closed
97,,,Azelon Pharmaceuticals,c:137274,0,6922000,closed
99,,,PublicEarth,c:13733,0,4000000,closed
103,FTI Consulting,c:26482,Attenex,c:13874,88000000,5000000,acquired
105,AOL,c:351,The Huffington Post,c:1388,315000000,37000000,acquired
106,,,NebuAd,c:1389,0,30150000,closed
107,,,Swivel,c:139,0,2000000,closed
108,,,Amadesa,c:13921,0,12800000,closed
109,,,MobileReactor,c:139729,0,1175000,closed
111,,,AutoVirt,c:14028,0,24300000,closed
112,Tellabs,c:34407,WiChorus,c:14036,165000000,42500000,acquired
114,AOL,c:351,Bebo,c:142,850000000,15000000,acquired
114,Reachd,c:5602,Bebo,c:142,10000000,15000000,acquired
115,,,Peek & Co,c:14345,0,626096,closed
117,,,xkoto,c:1445,0,11035000,closed
118,,,Press,c:144611,0,70000,closed
119,,,VeteranCentral.com,c:144631,0,150000,closed
120,,,DateMyFamily.com,c:144687,0,100000,closed
121,Equifax,c:2823,TrustedID,c:1447,30000000,25000000,acquired
122,,,CakeStyle,c:144825,0,1000000,closed
123,,,Hit Systems,c:14483,0,125000,closed
125,FIS,c:68232,mFoundry,c:14608,120000000,40300000,acquired
127,,,AdexLink,c:146596,0,2000000,closed
128,,,REMOTV,c:14666,0,2700000,closed
132,,,Classiphix,c:148284,0,15000,closed
133,Symantec,c:3320,Vontu,c:14854,350000000,20000000,acquired
134,,,"MoveableCode, Inc.",c:148566,0,350000,closed
141,WhitePages.com,c:2345,Snapvine,c:1499,10000000,12000000,acquired
142,,,Exit41,c:14993,0,24200000,closed
145,,,StyleZen,c:150577,0,20000,closed
148,blinkx,c:108,Rhythm NewMedia,c:15123,65000000,28932322,acquired
149,,,Zentact,c:15129,0,250000,closed
150,,,Utterz,c:1518,0,4000000,closed
151,,,Wantful,c:152560,0,5500000,closed
152,KEYW Corporation,c:40595,SenSage,c:15294,24000000,37079000,acquired
153,,,Gaston Labs,c:153403,0,100000,closed
154,Yahoo!,c:29,Dapper,c:1541,55000000,3000000,acquired
155,,,eBillme,c:15458,0,23000000,closed
157,Google,c:59,FeedBurner,c:155,100000000,8000000,acquired
158,,,Rudder,c:15509,0,2000000,closed
160,,,Friendsignia,c:155621,0,15000,closed
161,,,Nalace Corporation,c:155821,0,19000,closed
162,,,mBeat Media,c:15599,0,1500000,closed
165,,,SeeSaw Networks,c:15687,0,21138876,closed
167,,,Twitpay,c:15704,0,500000,closed
168,,,Robotgalaxy,c:15709,0,12000000,closed
169,,,Soshowise,c:157234,0,50000,closed
172,Western Digital,c:22518,Virident Systems,c:15829,685000000,129677153,acquired
173,,,Newfield Design,c:158294,0,662000,closed
175,"Verizon Communications, Inc.",c:4843,EdgeCast Networks,c:1587,350000000,74000000,acquired
176,,,Avega Systems,c:15870,0,9500000,closed
177,,,Hammerhead Systems,c:15887,0,48000000,closed
178,,,Neopolitan Networks,c:15888,0,3170000,closed
179,Incredimail,c:13906,Smilebox,c:1590,40000000,14000000,acquired
180,eBay,c:20,Bill Me Later,c:1595,945000000,100000000,acquired
181,ViaSat,c:33731,WildBlue,c:15996,568000000,50000000,acquired
182,Walmart,c:29025,Kosmix,c:1600,300000000,55000000,acquired
184,,,VoloMedia,c:16066,0,12000000,closed
185,Twitter,c:12,Summize,c:1607,15000000,750000,acquired
187,,,Applied Identity,c:16111,0,33000000,closed
188,Amazon,c:317,Goodreads,c:1612,150000000,2750000,acquired
189,British Telecom,c:4196,Ribbit,c:1613,105000000,11000000,acquired
190,,,Kickfire,c:16134,0,20000000,closed
192,Hewlett-Packard,c:355,ArcSight,c:16178,1500000000,26914000,acquired
193,,,AdYouNet,c:16179,0,1400000,closed
194,LSI,c:5722,ONStor,c:16181,25000000,65800000,acquired
195,Broadcom,c:17124,Provigent,c:16189,313000000,32000000,acquired
198,,,Contur,c:162219,0,20000,closed
199,,,Aquest Systems,c:16264,0,20000000,closed
200,,,WeShow,c:1627,0,5000000,closed
201,Spirent Communications,c:65077,Mu Dynamics,c:16271,40000000,24000000,acquired
203,Intel,c:71,Sensory Networks,c:16276,20000000,17400000,acquired
204,Skype,c:62,Qik,c:1628,150000000,14800000,acquired
212,,,RipCode,c:1637,0,33000000,closed
214,,,"RiverGlass, Inc.",c:16406,0,6400000,closed
216,,,Digital Performance,c:16488,0,4476171,closed
217,,,Turf Geography Club,c:164922,0,890000,closed
222,,,Rapport,c:16607,0,25500000,closed
224,Tessera,c:9514,Siimpel Corporation,c:16613,15000000,53818873,acquired
225,Vonage,c:7618,Vocalocity,c:16618,130000000,13600000,acquired
226,,,27 Perry,c:166763,0,118000,closed
228,Zynga,c:1812,Challenge Games,c:1669,20500000,14500000,acquired
229,,,Sway,c:167,0,2000000,closed
230,,,Focus,c:16709,0,12170000,closed
232,SurveyMonkey,c:21875,Infinity Box,c:1674,35000000,118000,acquired
233,,,Stiki Digital,c:16753,0,325000,closed
234,,,Extreme Enterprises,c:16757,0,1455000,closed
235,,,scanR,c:16761,0,14200000,closed
236,,,QSecure,c:16770,0,49000000,closed
237,,,spotdock,c:167795,0,600000,closed
239,Broadcom,c:17124,BroadLight,c:16874,230000000,27000000,acquired
242,,,SimulScribe,c:1692,0,5700000,closed
245,,,IonLogix Systems,c:16973,0,30000,closed
247,,,SendMeHome.com,c:17030,0,50000,closed
254,,,D2C Games,c:17252,0,7500000,closed
257,SMSC,c:34751,Symwave,c:17282,8300000,26200000,acquired
258,Google,c:59,Meebo,c:173,100000000,70000000,acquired
259,Cisco,c:28,Meraki,c:1731,1200000000,80000000,acquired
260,,,Relationship Analytics,c:173118,0,125000,closed
262,,,Speedshape,c:17429,0,5000000,closed
265,,,Power Analog Microelectronics,c:17481,0,12000000,closed
266,,,Shocking Technologies,c:17501,0,55900000,closed
268,,,Appscio,c:17512,0,7000000,closed
269,,,bluepulse,c:1753,0,6000000,closed
272,IBM,c:3246,Storwize,c:17581,140000000,28000000,acquired
274,,,Aurora Feint,c:17610,0,7660000,closed
277,SGI,c:12011,Copan Systems,c:17633,2000000,68400000,acquired
278,Imation,c:70298,Nexsan,c:17634,120000000,24500000,acquired
279,Synaptics,c:17655,Validity Sensors,c:17656,255000000,82600000,acquired
280,,,ARPU,c:1766,0,15564591,closed
281,Qualcomm,c:323,Firethorn,c:17660,210000000,25131611,acquired
287,,,OpVista,c:17775,0,43000000,closed
288,Riverbed Technology,c:17731,Mazu Networks,c:17795,47000000,7000000,acquired
290,,,Hidden City Games,c:17857,0,15000000,closed
292,LivePerson,c:7416,NuConomy,c:1789,3000000,3300000,acquired
295,EMC,c:966,ScaleIO,c:179507,200000000,12000000,acquired
296,,,Conformity,c:17974,0,3000000,closed
298,,,CypherMax,c:18027,0,148000000,closed
301,,,Etology,c:18080,0,4000000,closed
303,BroadSoft,c:3407,Casabi,c:18163,1950000,12800000,acquired
304,Google,c:59,Invite Media,c:1832,80000000,5000000,acquired
305,MySpace,c:494,iLike,c:184,20000000,16500000,acquired
308,SingTel,c:16041,Amobee,c:1870,321000000,72000000,acquired
312,,,Punch Entertainment,c:18897,0,1200000,closed
313,,,Current Media,c:1895,0,15000000,closed
315,,,MOLI,c:1899,0,55600000,closed
317,,,Pocket Communications Northeast,c:19101,0,125000000,closed
320,SanDisk,c:3275,Pliant Technology,c:19234,327000000,50300006,acquired
324,,,walkby,c:195311,0,650000,closed
325,,,Kashless,c:19538,0,9000000,closed
326,,,Sharetivity,c:1957,0,2000000,closed
329,IXIA,c:26797,BreakingPoint Systems,c:1967,160000000,20000000,acquired
334,,,Pacinian,c:19869,0,350000,closed
336,,,PayParade Pictures,c:20033,0,200000,closed
340,,,Hotelicopter,c:202,0,5000000,closed
341,TeleCommunication Systems,c:26802,Networks in Motion,c:20253,170000000,10000000,acquired
345,Medtronic,c:33654,Ardian,c:20506,800000000,64080000,acquired
347,DG,c:13228,Republic Project,c:20672,1400000,1000000,acquired
349,,,LookStat,c:20832,0,500000,closed
350,CA Technologies,c:26050,Nimsoft,c:20847,350000000,22300000,acquired
354,,,Jobzle,c:21359,0,30000,closed
356,,,Airship Ventures,c:21492,0,10500000,closed
361,Brightcove,c:325,Zencoder,c:21762,30000000,2000000,acquired
362,,,What They Like,c:2178,0,990000,closed
363,Sanofi Aventis,c:28373,BiPar Sciences,c:21940,500000000,73000000,acquired
366,LBI International,c:4010,Mr. Youth,c:22057,50000000,15100000,acquired
367,,,Factery,c:22113,0,1200000,closed
369,eBay,c:20,Milo,c:22203,75000000,4950000,acquired
370,Cisco,c:28,Metreos Corporation,c:22291,28000000,4355000,acquired
372,,,Fetch MD,c:223501,0,25000,closed
373,,,Advaliant,c:2245,0,100000,closed
375,,,Smalltown,c:2272,0,4000000,closed
376,SuccessFactors,c:1790,CubeTree,c:22721,50000000,11500000,acquired
378,eBay,c:20,Where,c:2275,135000000,19100000,acquired
380,,,Matisse Networks,c:22898,0,7500000,closed
382,Nordstrom,c:29929,HauteLook,c:23052,270000000,41000000,acquired
384,Synchronoss Technologies,c:28415,Miyowa,c:23098,59000000,11725600,acquired
386,The Walt Disney Company,c:342,Playdom,c:23125,763200000,76000000,acquired
390,,,Canopy Financial,c:23192,0,89500000,closed
391,,,Elanti Systems,c:23234,0,5500000,closed
392,,,Wi-Chi,c:23251,0,7000000,closed
393,,,Social Collective,c:23335,0,20000,closed
398,Apple,c:1654,Topsy Labs,c:23588,200000000,35200000,acquired
399,,,Ecast,c:23692,0,30300000,closed
401,,,ZettaCore,c:23788,0,21000000,closed
403,Emcore,c:72249,Soliant Energy,c:23903,450000,18000000,acquired
406,,,DynaPump,c:24040,0,6000000,closed
407,,,Apieron,c:24206,0,43500000,closed
409,,,Anaphore,c:24281,0,24300000,closed
411,Oversee,c:1809,SnapNames,c:2434,35000000,8800000,acquired
413,,,Biofisica,c:24570,0,7300000,closed
414,Tremor Video,c:104377,ScanScout,c:246,86000000,17500000,acquired
415,,,Limerick BioPharma,c:24681,0,49008830,closed
416,Eli Lilly,c:31588,Avid Radiopharmaceuticals,c:24727,800000000,69900000,acquired
417,,,JackPot Rewards,c:2478,0,16700000,closed
418,,,GenieTown,c:2481,0,2000000,closed
419,SingTel,c:16041,Pixable,c:24853,26500000,6100000,acquired
421,Teleflex,c:65984,Semprus BioSciences,c:24896,30000000,27000000,acquired
423,,,FameCast,c:2497,0,9700000,closed
425,Johnson & Johnson,c:12137,Aragon Pharmaceuticals,c:25001,1000000000,122000000,acquired
431,Alexion Pharmaceuticals,c:67598,Taligen Therapeutics,c:25324,111000000,78750000,acquired
434,,,Biolex Therapeutics,c:25383,0,162264126,closed
435,,,PhotoThera,c:25449,0,80500000,closed
439,,,Azingo,c:25688,0,80000000,closed
441,AstraZeneca,c:13450,Pearl Therapeutics,c:25737,1150000000,232000100,acquired
443,,,Broadway Networks,c:25756,0,954000,closed
444,CA Technologies,c:26050,Layer 7 Technologies,c:25782,155000000,19900000,acquired
445,,,TwtBks,c:25808,0,25000,closed
447,Shutterfly,c:1438,Tiny Pictures,c:2593,2600000,11200000,acquired
448,,,Kurani Interactive,c:25997,0,275000,closed
455,,,Bling Nation,c:26368,0,28000000,closed
456,,,Revetto,c:26390,0,20000,closed
457,dunnhumby,c:39178,BzzAgent,c:26460,60000000,14500000,acquired
458,EMC,c:966,Kazeon,c:2647,150000000,41000000,acquired
459,Broadcom,c:17124,Beceem Communications,c:26556,316000000,69600000,acquired
460,,,Nordic Windpower,c:26612,0,54000000,closed
462,LSI,c:5722,SandForce,c:26685,400000000,46000000,acquired
463,Bakbone Software,c:26703,Asempra Technologies,c:26702,1850000,20000000,acquired
465,Bakbone Software,c:26703,ColdSpark,c:26806,15900000,6500000,acquired
466,,,Nethra Imaging,c:26813,0,14000000,closed
467,,,Advanced Marketing & Media Group,c:26863,0,500000,closed
469,Comcast,c:4175,Plaxo,c:27,150000000,28300000,acquired
473,Abbott Labs,c:10475,OptiMedica,c:27142,400000000,51000000,acquired
474,,,Advanced Power Projects,c:27159,0,13000000,closed
475,Lightera,c:26738,Luminus Devices,c:27163,22000000,135826373,acquired
476,Mellanox Technologies,c:62791,KOTURA,c:27285,82000000,27690547,acquired
477,Yahoo!,c:29,Right Media,c:2731,850000000,45000000,acquired
480,,,Plato Networks,c:27439,0,27500000,closed
485,,,Texert,c:27740,0,3000000,closed
486,,,eMinor,c:27741,0,5000000,closed
487,Dialog Semiconductor,c:33565,iWatt,c:27779,345000000,19400000,acquired
488,,,DeliveryEdge,c:278,0,1500000,closed
489,,,Correlix,c:27938,0,11400000,closed
492,,,Yub,c:280611,0,12000000,closed
494,,,PeerMe,c:281,0,5000000,closed
495,,,VT Silicon,c:28114,0,8800000,closed
496,,,lifeIO,c:28162,0,500000,closed
498,,,Rayspan,c:28307,0,12500000,closed
500,,,HighlightCam,c:28403,0,3000000,closed
501,VMware,c:5990,Blue Lane Technologies,c:28420,15000000,13400000,acquired
502,,,Danotek Motion Technologies,c:28424,0,42700000,closed
506,CommScope,c:12394,Redwood Systems,c:28482,60000000,34250000,acquired
506,CommScope,c:12394,Redwood Systems,c:28482,60000000,34250000,acquired
507,CommScope,c:12394,Redwood Systems,c:28482,60000000,34250000,acquired
507,CommScope,c:12394,Redwood Systems,c:28482,60000000,34250000,acquired
511,McAfee,c:14236,Lockdown Networks,c:28768,2000000,8600000,acquired
512,Ancestry,c:1071,Footnote,c:2889,28000000,10000000,acquired
513,Verint Systems,c:27810,Vovici,c:2902,56500000,16300000,acquired
519,Kofax,c:29411,Kapow Software,c:2953,47500000,19743770,acquired
521,,,Zoodak,c:29604,0,580000,closed
522,,,Three Screen Games,c:29605,0,500000,closed
523,Yahoo!,c:29,Rockmelt,c:29618,65000000,39875000,acquired
526,,,ScribeStorm,c:2993,0,225000,closed
527,Microsoft,c:1242,Powerset,c:30,100000000,22500000,acquired
528,,,Ubidyne,c:30041,0,58500000,closed
529,International Rectifier,c:70064,CHiL Semiconductor,c:30152,75000000,22487000,acquired
530,,,UpMo,c:30173,0,3700000,closed
531,,,SearchMe,c:3027,0,43600000,closed
532,,,Resonant Vibes,c:30290,0,350000,closed
533,,,Smith & Tinker,c:30307,0,29000000,closed
536,Cisco,c:28,Pure Networks,c:30526,120000000,12500000,acquired
537,Ceradyne,c:30528,SemEquip,c:30527,125000000,26000000,acquired
538,Nuance Communications,c:5473,SNAPin Software,c:30537,204260000,22300000,acquired
539,,,Solvate,c:30562,0,10300000,closed
540,,,Impeva,c:30667,0,10000000,closed
542,HSW International,c:14745,DailyStrength,c:3080,3125000,5000000,acquired
548,,,Glacier Bay,c:31120,0,28000000,closed
549,,,Queplix,c:31141,0,1500000,closed
551,,,Bueda,c:31294,0,125000,closed
554,,,Natural Cleaners Colorado,c:31452,0,1900000,closed
555,,,Roxro Pharma,c:31488,0,42700000,closed
556,,,AccelGolf,c:31514,0,457282,closed
557,,,Satiety,c:31546,0,62800000,closed
558,,,Paracor Medical,c:31549,0,44000000,closed
559,Thermage,c:148832,Reliant Technologies,c:31559,66200000,15000000,acquired
560,Ipsen,c:31615,Tercica,c:31614,480300000,83000000,acquired
561,Allergan,c:41450,MAP Pharmaceuticals,c:31754,958000000,50000000,acquired
562,,,Oorja Protonics,c:31764,0,21470000,closed
563,,,Elastra,c:3178,0,14600000,closed
565,Local.com,c:25597,Krillion,c:3180,3500000,9150000,acquired
566,Amgen,c:23339,Avidia,c:31832,380000000,72300000,acquired
567,,,kwiry,c:3185,0,1000000,closed
569,Thermo Fisher Scientific,c:31663,Ahura Scientific,c:31866,145000000,17000000,acquired
571,VMware,c:5990,Digital Fuel,c:31888,85000000,5000000,acquired
572,,,Dyyno,c:31909,0,14078664,closed
575,,,Origen Therapeutics,c:31968,0,2000000,closed
578,,,Authenticlick,c:3202,0,5000000,closed
579,Asterand,c:40135,BioSeek,c:32023,14000000,10000000,acquired
582,,,Idooble,c:32144,0,400000,closed
585,Google,c:59,Waze,c:32475,1100000000,67000000,acquired
586,,,Tapioca Mobile,c:3267,0,5000000,closed
587,,,YESTODATE.COM,c:32686,0,1000000,closed
588,,,WebVisible,c:3288,0,37000000,closed
589,,,HX Diagnostics,c:32977,0,7800000,closed
591,,,TalkPlus,c:334,0,5500000,closed
592,Twitter,c:12,Bluefin Labs,c:33416,80000000,20350000,acquired
593,Walmart,c:29025,Vudu,c:335,100000000,36000000,acquired
595,,,RFinity,c:33519,0,4000000,closed
596,,,Attune Systems,c:33771,0,18000000,closed
599,,,Transactiv,c:33912,0,1200000,closed
600,Salesforce,c:1972,Desk,c:33949,50000000,5700000,acquired
602,,,LikeList,c:34028,0,5000000,closed
603,Salesforce,c:1972,Dimdim,c:3413,31000000,8400000,acquired
605,,,Chronicity,c:34267,0,19550000,closed
606,,,Zipano,c:34338,0,25000,closed
607,,,PermissionTV,c:344,0,9000000,closed
608,,,Innovative Silicon,c:34401,0,72000000,closed
610,,,Hotlist,c:34522,0,1449998,closed
611,Brand Networks,c:153484,Optimal,c:34545,35000000,7600000,acquired
612,Facebook,c:5,Hot Potato,c:34549,10000000,1420000,acquired
613,Cisco,c:28,ScanSafe,c:34618,183000000,28500000,acquired
615,888 Holdings,c:24216,Mytopia,c:3487,18000000,3500000,acquired
616,,,Workstreamer,c:3505,0,3500000,closed
617,,,Devtap,c:35148,0,2600000,closed
618,,,Viacor,c:35157,0,19009671,closed
620,,,RPO,c:35402,0,44000000,closed
621,,,Trinity Biosystems,c:35433,0,28500000,closed
622,,,Teranode,c:35475,0,10400000,closed
623,Logitech,c:2989,"LifeSize, a Division of Logitech",c:35511,405000000,42500000,acquired
625,,,Etelos,c:3562,0,4087500,closed
628,Broadcom,c:17124,Teknovus,c:35887,123000000,62600000,acquired
629,,,JavaJobs,c:35903,0,50000,closed
630,Symantec,c:3320,Clearwell Systems,c:3610,410000000,29000000,acquired
632,,,Storspeed,c:36192,0,13000000,closed
633,,,NewsBasis,c:36276,0,545000,closed
636,,,Nirvanix,c:365,0,70000000,closed
637,,,SemiSouth Laboratories,c:36579,0,39000000,closed
638,,,Conecta 2,c:367,0,15000,closed
639,,,ThermalTherapeuticSystems,c:36742,0,3508462,closed
640,Real Networks,c:845,Game Trust,c:3686,20000000,9000000,acquired
641,,,Blade Games World,c:36868,0,5926462,closed
642,,,Apnex Medical,c:36892,0,44000000,closed
644,Global Crossing,c:10241,Genesis Networks,c:36936,27000000,22165091,acquired
645,,,itzbig,c:3717,0,4000000,closed
646,,,Five Star Technologies,c:37173,0,13222860,closed
647,HTC Corp,c:3132,Dashwire,c:37215,18500000,5056559,acquired
651,Braintree,c:46943,Venmo,c:37635,26200000,1200000,acquired
652,,,NextIO,c:37647,0,49600000,closed
653,Yahoo!,c:29,Xoopit,c:3770,20000000,6500000,acquired
654,PLX Technology,c:58544,Teranetics,c:37712,53800000,52800000,acquired
655,,,Zeo,c:37752,0,26138500,closed
657,,,LegiTime Technologies,c:37780,0,4000000,closed
660,NetApp,c:1727,Akorri Networks,c:37929,60000000,48730000,acquired
661,,,Kardia Health Systems,c:37934,0,18400000,closed
663,,,Thwapr,c:38019,0,2000000,closed
668,,,Digit Wireless,c:38273,0,10000000,closed
670,AOL,c:351,about.me,c:38337,35000000,5675000,acquired
671,Experian,c:2175,41st Parameter,c:38338,324000000,38064570,acquired
673,,,EvoApp,c:38460,0,3352194,closed
674,,,iosil Energy,c:38504,0,13875001,closed
675,,,iGroup Network,c:38590,0,2240000,closed
676,,,Make It Work,c:38655,0,1000000,closed
678,,,Hello Chair,c:38794,0,889999,closed
679,,,Jodange,c:3902,0,1200000,closed
680,Sony,c:304,Gaikai,c:39101,380000000,45039999,acquired
681,,,iKoa,c:39105,0,18700000,closed
683,Dot Hill Systems,c:39285,Cloverleaf Communications,c:39283,12000000,11000000,acquired
684,Eisai,c:39681,AkaRx,c:39364,255000000,26100000,acquired
685,,,Sweepery,c:39399,0,500000,closed
686,eBay,c:20,Zong,c:3949,240000000,27500000,acquired
687,Akamai Technologies,c:424,Cotendo,c:3950,268000000,36000000,acquired
688,,,Zymetis,c:39507,0,2257464,closed
689,VMware,c:5990,Nicira Networks,c:39521,1260000000,41815432,acquired
691,,,Helix Therapeutics,c:39596,0,3100000,closed
692,Symantec,c:3320,GuardianEdge Technologies,c:3962,70000000,19500000,acquired
693,,,Spectrawatt,c:39661,0,41400000,closed
694,,,MPOWER Mobile,c:39755,0,5000000,closed
695,,,Storm Exchange,c:39801,0,10800000,closed
698,Cisco,c:28,Pure Digital Technologies,c:3991,590000000,68200000,acquired
699,betaworks,c:20953,Digg,c:4,500000,45000000,acquired
701,Silicon Image,c:15297,SiBEAM,c:4014,25500000,113750000,acquired
702,,,C2 Microsystems,c:40147,0,10000000,closed
703,,,EmSense,c:40152,0,13000000,closed
704,,,DNP Green Technology,c:40197,0,12000000,closed
706,Sunovion Pharmaceuticals,c:85949,Elevation Pharmaceuticals,c:40417,430000000,89400001,acquired
708,,,Media Chaperone,c:40665,0,1050000,closed
709,Sourcefire,c:19066,Immunet Corporation,c:40762,21000000,2000000,acquired
717,,,MogoTix,c:41334,0,115000,closed
718,,,Taggstr,c:41409,0,50000,closed
722,,,Reef Point Systems,c:41747,0,52000000,closed
724,,,Verari Systems,c:41968,0,20000000,closed
725,,,Andigilog,c:42062,0,18000000,closed
727,,,Moonshoot,c:42112,0,6760000,closed
729,,,Certeon,c:42163,0,19000000,closed
731,Outerwall,c:64747,ecoATM,c:42223,350000000,71400000,acquired
732,,,WiLinx,c:42227,0,15000000,closed
733,,,Berggi,c:42441,0,12000000,closed
734,,,PeerPong,c:42496,0,2800000,closed
737,,,Internet Pawn,c:42519,0,7228704,closed
738,,,Qlusters,c:42610,0,10360000,closed
739,McAfee,c:14236,Solidcore Systems,c:42668,47000000,40000000,acquired
740,,,Octavian,c:42672,0,15000000,closed
741,,,Zilker Labs,c:42842,0,27000000,closed
743,,,U.S. Fiduciary,c:43133,0,9000000,closed
745,,,QuikCycle,c:43162,0,17800000,closed
747,Zillow,c:959,RentJuice,c:43183,40000000,6693782,acquired
749,Facebook,c:5,Instagram,c:43233,1010470000,57500000,acquired
752,comScore,c:1926,AdXpose,c:4336,22000000,22800000,acquired
753,,,MyNines,c:43386,0,500000,closed
754,,,Stickybits,c:43416,0,1900000,closed
755,,,Levanta,c:43458,0,8000000,closed
756,,,Mail.com Media Corporation,c:43480,0,35000000,closed
759,,,Axial Biotech,c:43724,0,19400000,closed
760,,,Nascentric,c:43741,0,13400000,closed
762,TIBCO Software,c:4967,Loyalty Lab,c:43832,23000000,11000000,acquired
764,,,Kolorific,c:43873,0,7000000,closed
765,,,Defywire,c:43875,0,10600000,closed
766,,,Jacent Technologies,c:43877,0,13700000,closed
767,,,Bioenvision,c:43915,0,7410000,closed
769,,,Transparency Software,c:43948,0,12050000,closed
771,Marchex,c:674,Jingle Networks,c:44,62500000,88651133,acquired
772,,,Oasys Mobile,c:44064,0,8000000,closed
775,,,Food Quality Sensor International,c:44305,0,5600000,closed
776,,,Sampa,c:444,0,1310000,closed
778,Intuit,c:2537,Demandforce,c:44504,423500000,10119801,acquired
778,Intuit,c:2537,Demandforce,c:44504,423500000,10119801,acquired
779,Intuit,c:2537,Demandforce,c:44504,423500000,10119801,acquired
779,Intuit,c:2537,Demandforce,c:44504,423500000,10119801,acquired
782,,,Yamisee,c:44616,0,700000,closed
783,Akamai Technologies,c:424,Netli,c:44650,170000000,18000000,acquired
784,GlobalSCAPE,c:6478,TappIn,c:44693,17000000,2293122,acquired
786,,,Entertainment Media Works,c:45111,0,4000000,closed
787,,,Athena Design Systems,c:45112,0,4000000,closed
788,,,Skyway Software,c:45114,0,4000000,closed
789,,,U4EA Wireless,c:45115,0,19300000,closed
792,,,Azaire Networks,c:45339,0,21000000,closed
793,,,Amitive,c:45396,0,16000000,closed
794,,,DanceJam,c:454,0,4500000,closed
795,,,Trooval,c:45413,0,2387481,closed
797,Cisco,c:28,Composite Software,c:45428,180000000,14650003,acquired
800,VMware,c:5990,Integrien,c:45696,100000000,24510540,acquired
802,,,Avolent,c:45709,0,9000000,closed
803,,,Intrusic,c:45792,0,16000000,closed
804,,,EventVue,c:458,0,455000,closed
806,,,NextMedium,c:46042,0,9500000,closed
807,,,Pyxis Mobile,c:46070,0,24150000,closed
808,,,Xytis,c:46073,0,24500000,closed
810,Shire,c:53654,SARcode Bioscience,c:46168,160000000,73000000,acquired
811,,,Mendocino Software,c:46186,0,19700000,closed
812,Google,c:59,Aardvark,c:4622,50000000,6000000,acquired
813,,,CebaTech,c:46259,0,8500000,closed
816,LinkedIn,c:176,Rapportive,c:46586,15000000,1000000,acquired
817,ADOR,c:53254,Off & Away,c:46835,5000000,3250000,acquired
818,,,MyCabbage,c:46863,0,950000,closed
819,,,FireStar Software,c:46889,0,980000,closed
820,,,HeadCase Humanufacturing,c:46893,0,900000,closed
822,PayPal,c:333,Braintree,c:46943,800000000,69000000,acquired
824,Glam Media,c:149,Ning by Glam Media,c:47,150000000,119000000,acquired
825,,,Giiv,c:47115,0,3350000,closed
826,,,Offermatic,c:47270,0,4500000,closed
827,,,Tipping Bucket,c:47341,0,72000,closed
828,,,International Battery,c:47440,0,35000000,closed
829,,,Infineta Systems,c:47587,0,30000000,closed
831,,,SpinTheCam,c:47662,0,150000,closed
832,,,Atrica,c:47689,0,22200000,closed
833,Cisco,c:28,Navini Networks,c:47848,330000000,30920000,acquired
834,Cox Enterprises,c:4797,Adify,c:4794,300000000,27000000,acquired
835,,,People to Remember,c:47950,0,25000,closed
836,,,Center'd,c:4829,0,10400000,closed
837,,,NeuroTherapeutics Pharma,c:48376,0,55000000,closed
838,,,Auvitek International,c:48640,0,9000000,closed
839,Yahoo!,c:29,BlueLithium,c:487,300000000,11500000,acquired
841,Amazon,c:317,Quidsi,c:49052,545000000,78500000,acquired
842,,,Loudcaster,c:49236,0,53000,closed
843,,,Cerona Networks,c:49341,0,2600000,closed
844,Getty Images,c:629,WireImage,c:49442,202000000,15000000,acquired
846,,,Helicomm,c:49621,0,1000000,closed
855,Bio-Rad Laboratories,c:40611,QuantaLife,c:50208,162000000,20757182,acquired
856,Cadence Pharmaceuticals,c:37734,Incline Therapeutics,c:50209,285000000,64940000,acquired
857,,,Skyrider,c:5043,0,17000000,closed
858,,,Opzi,c:50449,0,1015000,closed
859,Constant Contact,c:3524,SinglePlatform,c:50727,100000000,4575000,acquired
860,,,Zango,c:509,0,40000000,closed
861,,,Network Chemistry,c:50927,0,6000000,closed
862,,,Wirama,c:5095,0,1000000,closed
864,,,Abound Solar,c:51023,0,510000000,closed
869,GREE,c:15609,OpenFeint,c:51306,104000000,3000000,acquired
872,,,DotBlu,c:516,0,2250000,closed
873,,,Lama Lab,c:51623,0,1213066,closed
874,,,Wellcore,c:51745,0,2000000,closed
875,Covidien,c:31915,BARRX Medical,c:51890,325000000,15000000,acquired
876,Monitise,c:17661,ClairMail,c:5192,173000000,34100000,acquired
877,,,Hurricane Party,c:51969,0,20000,closed
878,Sonic Solutions,c:4804,Simple Star,c:522,6000000,7100000,acquired
881,Under Armour,c:42816,MapMyFitness,c:52406,150000000,23500000,acquired
882,Airbnb,c:9049,Fondu,c:52566,575000,575000,acquired
883,,,Dilithium Networks,c:5264,0,98170000,closed
884,,,Plethora Technology,c:52694,0,1000000,closed
885,Adobe Systems,c:283,Efficient Frontier,c:5306,400000000,6000000,acquired
887,,,GeekStatus,c:53304,0,435953,closed
889,,,TelASIC Communications,c:53471,0,26000000,closed
891,,,PacketHop,c:53814,0,10000000,closed
892,,,Inaura,c:53831,0,8500000,closed
893,Twitter,c:12,AdGrok,c:53885,10000000,470000,acquired
894,,,T-Networks,c:53946,0,5750000,closed
895,,,Wesabe,c:54,0,4700000,closed
896,,,Blue Vector Systems,c:54066,0,4000000,closed
897,Stratasys,c:148258,MakerBot,c:54077,403000000,10000000,acquired
898,American Express,c:1640,Sometrics,c:5411,30000000,5550000,acquired
899,,,Invicta Networks,c:54177,0,200000,closed
901,,,Smooth-Stone,c:54488,0,48000000,closed
905,ValueClick,c:840,Greystripe,c:549,75000000,17600000,acquired
907,,,ezzai - how to arabia,c:55044,0,45000000,closed
910,VeriFone,c:32951,WAY Systems,c:55354,9000000,22000000,acquired
914,,,Fashism,c:55436,0,1000000,closed
915,,,Wander (f. YongoPal),c:55592,0,185000,closed
916,,,PANTA Systems,c:55829,0,9500000,closed
917,Teradata,c:25106,Aster Data Systems,c:5585,263000000,53000000,acquired
918,Opsware,c:4999,iConclude,c:5587,53000000,12500000,acquired
921,,,RippleFunction,c:56478,0,20000,closed
922,,,Sionex,c:56568,0,12000000,closed
923,,,Generic Media,c:56580,0,2500000,closed
924,GlaxoSmithKline,c:5663,Sirtris Pharmaceuticals,c:5662,720000000,82000000,acquired
925,,,UniversityLyfe,c:56858,0,500000,closed
926,Yahoo!,c:29,Qwiki,c:56989,50000000,10500000,acquired
929,,,SpiralFrog,c:575,0,45000000,closed
931,,,Visiprise,c:57923,0,32000000,closed
932,,,Sidecar.me,c:5800,0,5100000,closed
937,,,Tutorspree,c:58420,0,1800000,closed
941,,,Klir Technologies,c:58560,0,8700000,closed
942,,,Dormzy,c:58696,0,250000,closed
943,,,Hashable,c:58699,0,4000000,closed
944,Twitter,c:12,MoPub,c:58944,350000000,18500000,acquired
945,,,MessageGate,c:58998,0,5000000,closed
946,,,Sychron Advanced Technologies,c:59018,0,5000000,closed
947,,,Nettle,c:59054,0,500000,closed
950,,,Diversion,c:59298,0,300000,closed
952,Opera Software,c:2584,Skyfire Labs,c:5936,155000000,40800000,acquired
953,,,Aptera,c:5952,0,36300000,closed
955,,,CafeBots,c:59709,0,5000000,closed
956,Google,c:59,Jambool,c:5986,70000000,6000000,acquired
958,O2,c:38385,Jajah,c:60,207000000,33000000,acquired
961,Cisco,c:28,IronPort Systems,c:6012,830000000,61500000,acquired
962,,,Blue Buzz Network,c:60186,0,1310000,closed
963,,,Kiha Software,c:60243,0,20000000,closed
964,,,World Blender,c:60352,0,12000,closed
967,,,TeleFlip,c:6049,0,4900000,closed
968,,,Lazarus Therapeutics,c:60516,0,100000,closed
973,,,Inertia Beverage Group,c:6150,0,25500100,closed
974,,,Flud,c:61592,0,2100000,closed
975,,,Gamook,c:6171,0,1500000,closed
976,AppDirect,c:74323,Standing Cloud,c:61783,9000000,10000003,acquired
977,,,DotSpots,c:6219,0,300000,closed
980,CondÚ Nast,c:318,ZipList,c:62432,14000000,4500000,acquired
982,Google,c:59,YouTube,c:63,1650000000,11500000,acquired
984,Symantec,c:3320,PasswordBank,c:63053,0,3500000,acquired
986,,,Slipstream,c:63217,0,20000,closed
987,,,Cozi Group,c:6340,0,26390819,closed
989,,,Lifestander,c:63621,0,31000,closed
990,Apple,c:1654,Quattro Wireless,c:637,275000000,28300000,acquired
991,,,Weatherista,c:63731,0,500000,closed
998,American Express,c:1640,Accertify,c:6520,150000000,4700000,acquired
999,,,Bevvy,c:65389,0,100000,closed
1000,,,Help Me Rent Magazine,c:65601,0,500000,closed
1002,ADOR,c:53254,Plixi,c:65620,10000000,2600000,acquired
1003,,,Inhale Digital,c:65806,0,1300000,closed
1007,,,GreenGoose!,c:66706,0,1200000,closed
1010,,,Pipewise,c:67806,0,3500000,closed
1016,,,Loud3r,c:6854,0,3529175,closed
1018,,,Swaptree Inc.,c:6964,0,11300000,closed
1021,,,Define My Style,c:70021,0,690000,closed
1025,,,StyleTrek,c:70661,0,1500000,closed
1026,,,Loosecubes,c:70893,0,9030000,closed
1027,,,Triples Media,c:71120,0,100000,closed
1028,,,nprogress,c:71372,0,1700000,closed
1030,,,FlyCast,c:7163,0,2100000,closed
1031,SolarCity,c:12352,Zep Solar,c:71639,158000000,10571182,acquired
1032,,,Color Labs Inc.,c:71852,0,41000000,closed
1033,Google,c:59,GrandCentral,c:72,60000000,4000000,acquired
1034,,,rPath,c:7207,0,32500000,closed
1035,MySpace,c:494,imeem,c:725,1000000,24750000,acquired
1036,Google,c:59,AdMob,c:726,750000000,46800000,acquired
1040,SoundCloud Inc.,c:6745,Instinctiv,c:7329,10000000,1420698,acquired
1041,,,Fortisphere,c:7345,0,10000000,closed
1042,Facebook,c:5,Onavo,c:73586,150000000,13000000,acquired
1044,LivingSocial,c:8583,SocialMedia.com,c:741,3000000,10000000,acquired
1049,Cvent,c:3399,CrowdCompass,c:74928,10000000,1300000,acquired
1051,,,Solmentum,c:75500,0,325000,closed
1052,,,Sonya Labs,c:7561,0,25000,closed
1053,,,Million Dollar Earth,c:75796,0,30000,closed
1055,Google,c:59,PeakStream,c:7613,20300000,22000000,acquired
1056,EMC,c:966,Mozy,c:762,76000000,1900000,acquired
1057,,,Sonar.me,c:76274,0,200000,closed
1059,,,CatchFree,c:76463,0,5500000,closed
1061,,,Plizy,c:76543,0,5200000,closed
1064,Concur Technologies,c:18871,TripIt,c:767,120000000,13100000,acquired
1065,,,Tripl,c:76765,0,900000,closed
1066,AOL,c:351,Adap.tv,c:77,405000000,48500000,acquired
1067,Intuit,c:2537,Mint.com,c:771,170000000,31775000,acquired
1069,,,Flowgram,c:7748,0,1300000,closed
1070,Cisco,c:28,JouleX,c:78759,107000000,17000000,acquired
1072,,,HelpMeRent.com,c:79089,0,154000,closed
1074,,,Gigi Hill,c:79149,0,4000000,closed
1075,LinkedIn,c:176,Pulse,c:79431,90000000,9800000,acquired
1076,,,TrustDegrees,c:79456,0,11000,closed
1081,,,Eyeona,c:80259,0,2000000,closed
1082,,,Matatena Games,c:80400,0,120000,closed
1085,,,RatePoint,c:810,0,24500000,closed
1087,,,Caterva,c:81474,0,2408500,closed
1088,,,Moprise,c:81475,0,2238055,closed
1091,,,skyrockit,c:81886,0,2600000,closed
1092,,,neoSaej,c:8251,0,13130000,closed
1096,,,MyDoorman,c:83173,0,100000,closed
1097,,,ItsGoinOn,c:83176,0,100000,closed
1099,,,Eons,c:833,0,32000000,closed
1101,AOL,c:351,5min Media,c:835,65000000,12800000,acquired
1102,,,Myrio,c:8351,0,20500000,closed
1103,Twitter,c:12,Crashlytics,c:83692,100000000,6000000,acquired
1105,,,CrowdSling,c:84008,0,40000,closed
1107,Facebook,c:5,Parse,c:84320,90000000,7000000,acquired
1108,,,Link_A_Media Devices,c:84867,0,47218498,closed
1109,,,Lexy,c:8494,0,1708000,closed
1111,,,Cuil,c:856,0,33000000,closed
1113,,,Carbonetworks,c:8596,0,5000000,closed
1115,,,Netgamix Inc,c:86120,0,132885,closed
1118,Rimage,c:55913,Qumu,c:8718,52000000,24750000,acquired
1121,Yahoo!,c:29,Xobni,c:886,48000000,41752000,acquired
1122,Google,c:59,Admeld,c:8972,400000000,30000000,acquired
1123,VMware,c:5990,SpringSource,c:8990,362000000,25000000,acquired
1126,GoDaddy,c:3169,Locu,c:90087,70000000,4600000,acquired
1127,,,Six Degrees Games,c:9038,0,17999998,closed
1128,,,BrightQube,c:904,0,850000,closed
1129,eBay,c:20,Hunch,c:9050,80000000,19200000,acquired
1130,DeNA,c:9636,ngmoco,c:9068,400000000,44800000,acquired
1131,,,Local Marketers,c:9085,0,4100000,closed
1132,,,LeisureLogix,c:9106,0,5900000,closed
1133,,,Mix & Meet,c:915,0,400000,closed
1136,,,Sim Ops Studios,c:933,0,698866,closed
1138,Compuware,c:6651,dynaTrace software,c:9373,256000000,21900000,acquired
1139,IBM,c:3246,Worklight,c:938,70000000,17600000,acquired
1143,AuthenTec,c:26999,Atrua Technologies,c:9665,600000000,13000000,acquired
1144,,,Sequoia Communications,c:9668,0,74000000,closed
1146,Salesforce,c:1972,Salesforce Buddy Media,c:967,689000000,90000000,acquired
1147,Visa,c:17066,PlaySpan,c:971,190000000,46300000,acquired
1148,,,OfferLounge,c:9730,0,120000,closed
1154,Yahoo!,c:29,Zimbra,c:997,350000000,14500000,acquired


task_id,stream_id,block_dim,full_op_name,op_name,op_type,subgraph,op_info
4,519,1,Default/AssignAdd-op142,AssignAdd-op142,AssignAdd,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT8"", ""shape"": ""1""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT8"", ""shape"": ""1""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT8"", ""shape"": ""1""}}"
6,519,32,Default/TransData-op118,TransData-op118,TransData,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,3,227,227""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,1,227,227,16""}}"
10,519,1,Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/OneHot-op3,OneHot-op3,OneHot,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT8"", ""shape"": ""2""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,2""}}"
11,519,1,Default/network-TrainOneStepCell/optimizer-Momentum/learning_rate-_IteratorLearningRate/GatherV2-op32,GatherV2-op32,GatherV2,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""1""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT8"", ""shape"": ""1""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""1""}}"
12,519,1,Default/network-TrainOneStepCell/optimizer-Momentum/AssignAdd-op31,AssignAdd-op31,AssignAdd,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT8"", ""shape"": ""1""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT8"", ""shape"": """"}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT8"", ""shape"": """"}}"
13,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/Cast-op91,Cast-op91,Cast,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,1,227,227,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,1,227,227,16""}}"
14,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/Cast-op110,Cast-op110,Cast,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,24,16,16""}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""216,24,16,16""}}"
15,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/Cast-op111,Cast-op111,Cast,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,16,16,16""}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""216,16,16,16""}}"
16,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/Cast-op115,Cast-op115,Cast,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""150,16,16,16""}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""150,16,16,16""}}"
17,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv3-Conv2d/Cast-op116,Cast-op116,Cast,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""144,24,16,16""}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""144,24,16,16""}}"
18,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/Cast-op117,Cast-op117,Cast,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""121,6,16,16""}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""121,6,16,16""}}"
19,519,8,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/Conv2D-op5,Conv2D-op5,Conv2D,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,1,227,227,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""121,6,16,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,55,55,16""}}"
20,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/Cast-op108,Cast-op108,Cast,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,55,55,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,6,55,55,16""}}"
21,519,60,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op119,ReLUV2-op119,ReLUV2,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,6,55,55,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,6,55,55,16""}, ""output_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT64"", ""shape"": ""2,6,55,55,2""}}"
22,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/Cast-op98,Cast-op98,Cast,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,6,55,55,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,55,55,16""}}"
23,519,27,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/MaxPool-op7,MaxPool-op7,MaxPool,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,55,55,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,27,27,16""}}"
24,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/Conv2D-op8,Conv2D-op8,Conv2D,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,27,27,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""150,16,16,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,27,27,16""}}"
25,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/Cast-op109,Cast-op109,Cast,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,27,27,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,27,27,16""}}"
26,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op120,ReLUV2-op120,ReLUV2,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,27,27,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,27,27,16""}, ""output_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT64"", ""shape"": ""2,16,27,27,2""}}"
27,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/Cast-op99,Cast-op99,Cast,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,27,27,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,27,27,16""}}"
28,519,16,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/MaxPool-op10,MaxPool-op10,MaxPool,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,27,27,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}}"
29,519,1,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv3-Conv2d/Conv2D-op11,Conv2D-op11,Conv2D,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""144,24,16,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}}"
30,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv3-Conv2d/Cast-op106,Cast-op106,Cast,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}}"
31,519,48,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op121,ReLUV2-op121,ReLUV2,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}, ""output_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT64"", ""shape"": ""2,24,13,13,2""}}"
32,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/Cast-op95,Cast-op95,Cast,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}}"
33,519,2,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/Conv2D-op13,Conv2D-op13,Conv2D,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""216,24,16,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}}"
34,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/Cast-op107,Cast-op107,Cast,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}}"
35,519,48,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op122,ReLUV2-op122,ReLUV2,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}, ""output_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT64"", ""shape"": ""2,24,13,13,2""}}"
36,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/Cast-op97,Cast-op97,Cast,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}}"
37,519,1,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/Conv2D-op15,Conv2D-op15,Conv2D,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""216,16,16,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}}"
38,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/Cast-op114,Cast-op114,Cast,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,13,13,16""}}"
39,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op123,ReLUV2-op123,ReLUV2,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,13,13,16""}, ""output_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT64"", ""shape"": ""2,16,13,13,2""}}"
40,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/Cast-op112,Cast-op112,Cast,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}}"
41,519,16,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/MaxPool-op17,MaxPool-op17,MaxPool,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,6,6,16""}}"
42,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/Cast-op105,Cast-op105,Cast,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,6,6,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,6,6,16""}}"
43,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/TransData-op124,TransData-op124,TransData,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,6,6,16""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,256,6,6""}}"
44,519,1,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/MatMul-op19,MatMul-op19,MatMul,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,256,6,6""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,9216""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}}"
45,519,16,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLU-op21,ReLU-op21,ReLU,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}}"
46,519,1,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/MatMul-op22,MatMul-op22,MatMul,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,4096""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}}"
47,519,16,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLU-op24,ReLU-op24,ReLU,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}}"
48,519,1,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/MatMul-op25,MatMul-op25,MatMul,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,2""}}"
49,519,1,Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/SoftmaxCrossEntropyWithLogits-op27,SoftmaxCrossEntropyWithLogits-op27,SoftmaxCrossEntropyWithLogits,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,2""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,2""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2""}, ""output_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,2""}}"
50,519,1,Default/AtomicAddrClean-op145,AtomicAddrClean-op145,AtomicAddrClean,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}}"
51,519,1,Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/ReduceMean-op87,ReduceMean-op87,ReduceMean,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}}"
52,519,1,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/gradSoftmaxCrossEntropyWithLogits/Mul-op29,Mul-op29,Mul,Gradients,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,2""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,1""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,2""}}"
53,519,1,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op37,MatMul-op37,MatMul,Gradients,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,2""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}}"
54,519,1,Default/AtomicAddrClean-op146,AtomicAddrClean-op146,AtomicAddrClean,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2""}}"
55,519,1,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradBiasAdd/BiasAddGrad-op30,BiasAddGrad-op30,BiasAddGrad,Gradients,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,2""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2""}}"
56,519,1,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op40,MatMul-op40,MatMul,Gradients,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,2""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}}"
57,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGrad-op41,ReluGrad-op41,ReluGrad,Gradients,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}}"
58,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op45,MatMul-op45,MatMul,Gradients,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,4096""}}"
59,519,1,Default/AtomicAddrClean-op147,AtomicAddrClean-op147,AtomicAddrClean,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}}"
60,519,2,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradBiasAdd/BiasAddGrad-op42,BiasAddGrad-op42,BiasAddGrad,Gradients,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}}"
61,519,1,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op48,MatMul-op48,MatMul,Gradients,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,4096""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}}"
62,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGrad-op49,ReluGrad-op49,ReluGrad,Gradients,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}}"
63,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op53,MatMul-op53,MatMul,Gradients,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,256,6,6""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,9216""}}"
64,519,1,Default/AtomicAddrClean-op148,AtomicAddrClean-op148,AtomicAddrClean,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}}"
65,519,2,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradBiasAdd/BiasAddGrad-op50,BiasAddGrad-op50,BiasAddGrad,Gradients,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}}"
66,519,1,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op56,MatMul-op56,MatMul,Gradients,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,9216""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,9216""}}"
67,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/flatten-Flatten/gradReshape/TransData-op125,TransData-op125,TransData,Gradients,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,9216""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,6,6,16""}}"
68,519,18,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/Cast-op113,Cast-op113,Cast,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,6,6,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,6,6,16""}}"
69,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/MaxPoolGrad-op58,MaxPoolGrad-op58,MaxPoolGrad,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}, ""input_1"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,6,6,16""}, ""input_2"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,6,6,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}}"
70,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/Cast-op104,Cast-op104,Cast,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,13,13,16""}}"
71,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGradV2-op126,ReluGradV2-op126,ReluGradV2,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,13,13,16""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT64"", ""shape"": ""2,16,13,13,2""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,13,13,16""}}"
72,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/gradConv2D/Cast-op96,Cast-op96,Cast,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}}"
73,519,25,Default/AtomicAddrClean-op149,AtomicAddrClean-op149,AtomicAddrClean,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,16,16,16""}}"
74,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/gradConv2D/Conv2DBackpropFilter-op60,Conv2DBackpropFilter-op60,Conv2DBackpropFilter,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}, ""input_1"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,16,16,16""}}"
75,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/gradConv2D/Conv2DBackpropInput-op63,Conv2DBackpropInput-op63,Conv2DBackpropInput,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""216,16,16,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}}"
76,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/gradConv2D/Cast-op103,Cast-op103,Cast,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}}"
77,519,48,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGradV2-op127,ReluGradV2-op127,ReluGradV2,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT64"", ""shape"": ""2,24,13,13,2""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}}"
78,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Cast-op94,Cast-op94,Cast,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}}"
79,519,28,Default/AtomicAddrClean-op150,AtomicAddrClean-op150,AtomicAddrClean,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,24,16,16""}}"
80,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Conv2DBackpropFilter-op65,Conv2DBackpropFilter-op65,Conv2DBackpropFilter,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}, ""input_1"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,24,16,16""}}"
81,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Conv2DBackpropInput-op68,Conv2DBackpropInput-op68,Conv2DBackpropInput,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""216,24,16,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}}"
82,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Cast-op102,Cast-op102,Cast,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}}"
83,519,48,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGradV2-op128,ReluGradV2-op128,ReluGradV2,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT64"", ""shape"": ""2,24,13,13,2""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}}"
84,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Cast-op93,Cast-op93,Cast,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}}"
85,519,25,Default/AtomicAddrClean-op151,AtomicAddrClean-op151,AtomicAddrClean,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""144,24,16,16""}}"
86,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Conv2DBackpropFilter-op70,Conv2DBackpropFilter-op70,Conv2DBackpropFilter,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}, ""input_1"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""144,24,16,16""}}"
87,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Conv2DBackpropInput-op73,Conv2DBackpropInput-op73,Conv2DBackpropInput,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""144,24,16,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}}"
88,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/MaxPoolGrad-op74,MaxPoolGrad-op74,MaxPoolGrad,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,27,27,16""}, ""input_1"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}, ""input_2"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,27,27,16""}}"
89,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/Cast-op101,Cast-op101,Cast,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,27,27,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,27,27,16""}}"
90,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGradV2-op129,ReluGradV2-op129,ReluGradV2,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,27,27,16""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT64"", ""shape"": ""2,16,27,27,2""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,27,27,16""}}"
91,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/gradConv2D/Cast-op92,Cast-op92,Cast,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,27,27,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,27,27,16""}}"
92,519,26,Default/AtomicAddrClean-op152,AtomicAddrClean-op152,AtomicAddrClean,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""150,16,16,16""}}"
93,519,48,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/gradConv2D/Conv2DBackpropFilter-op76,Conv2DBackpropFilter-op76,Conv2DBackpropFilter,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,27,27,16""}, ""input_1"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,27,27,16""}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""150,16,16,16""}}"
94,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/gradConv2D/Conv2DBackpropInput-op79,Conv2DBackpropInput-op79,Conv2DBackpropInput,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,27,27,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""150,16,16,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,27,27,16""}}"
95,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/MaxPoolGrad-op80,MaxPoolGrad-op80,MaxPoolGrad,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,55,55,16""}, ""input_1"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,27,27,16""}, ""input_2"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,27,27,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,55,55,16""}}"
96,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/Cast-op100,Cast-op100,Cast,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,55,55,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,6,55,55,16""}}"
97,519,60,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGradV2-op130,ReluGradV2-op130,ReluGradV2,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,6,55,55,16""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT64"", ""shape"": ""2,6,55,55,2""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,6,55,55,16""}}"
98,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/gradConv2D/Cast-op90,Cast-op90,Cast,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,6,55,55,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,55,55,16""}}"
99,519,16,Default/AtomicAddrClean-op153,AtomicAddrClean-op153,AtomicAddrClean,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""121,6,16,16""}}"
100,519,38,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/gradConv2D/Conv2DBackpropFilter-op82,Conv2DBackpropFilter-op82,Conv2DBackpropFilter,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,55,55,16""}, ""input_1"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,1,227,227,16""}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""121,6,16,16""}}"
101,519,2,Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op38,ApplyMomentum-op38,ApplyMomentum,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""1""}, ""input_3"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""input_4"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""output_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}}"
102,519,1,Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op35,ApplyMomentum-op35,ApplyMomentum,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""1""}, ""input_3"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2""}, ""input_4"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2""}, ""output_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2""}}"
103,519,32,Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op46,ApplyMomentum-op46,ApplyMomentum,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,4096""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,4096""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""1""}, ""input_3"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,4096""}, ""input_4"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,4096""}, ""output_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,4096""}}"
104,519,1,Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op43,ApplyMomentum-op43,ApplyMomentum,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""1""}, ""input_3"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}, ""input_4"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}, ""output_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}}"
105,519,32,Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op54,ApplyMomentum-op54,ApplyMomentum,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,9216""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,9216""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""1""}, ""input_3"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,9216""}, ""input_4"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,9216""}, ""output_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,9216""}}"
106,519,1,Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op51,ApplyMomentum-op51,ApplyMomentum,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""1""}, ""input_3"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}, ""input_4"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}, ""output_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}}"
107,519,28,Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op61,ApplyMomentum-op61,ApplyMomentum,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,16,16,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,16,16,16""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""1""}, ""input_3"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,16,16,16""}, ""input_4"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,16,16,16""}, ""output_1"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,16,16,16""}}"
108,519,31,Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op66,ApplyMomentum-op66,ApplyMomentum,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,24,16,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,24,16,16""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""1""}, ""input_3"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,24,16,16""}, ""input_4"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,24,16,16""}, ""output_1"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,24,16,16""}}"
109,519,28,Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op71,ApplyMomentum-op71,ApplyMomentum,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""144,24,16,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""144,24,16,16""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""1""}, ""input_3"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""144,24,16,16""}, ""input_4"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""144,24,16,16""}, ""output_1"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""144,24,16,16""}}"
110,519,29,Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op77,ApplyMomentum-op77,ApplyMomentum,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""150,16,16,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""150,16,16,16""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""1""}, ""input_3"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""150,16,16,16""}, ""input_4"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""150,16,16,16""}, ""output_1"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""150,16,16,16""}}"
111,519,18,Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op83,ApplyMomentum-op83,ApplyMomentum,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""121,6,16,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""121,6,16,16""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""1""}, ""input_3"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""121,6,16,16""}, ""input_4"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""121,6,16,16""}, ""output_1"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""121,6,16,16""}}"
112,519,1,Default/AssignAdd-op138,AssignAdd-op138,AssignAdd,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT8"", ""shape"": ""1""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT8"", ""shape"": ""1""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT8"", ""shape"": ""1""}}"


Region,CNTRY_NAME,Tier,Primary Data Type,Primary Year,Primary Source,Secondary Data Type,Secondary Year,Secondary Source,Notes
Africa,Angola,1,report,2000,"FAO, 2001. Evaluation des resources forestieres mondiales 2000. Rapport Principal. Etude FAO Forets 140.",report,1975,Horsten F. 1983. Madeira - Une analise de situacao actual. ,
America,Anguilla,1,report,1982,Caribbean Development Bank 1984. Regional Forestry Section Study: Final Report,n/a,n/a,n/a,
America,Antigua and Barbuda,1,report,1980,"Atkins Land and Water Management. 1983. Soil and water conservation, Windward and Leeward Islands, Phase 1: Reconnaissance Study.",report,1991,"Bacon, PR. 1991. The Status of Mangrove Conservation in the Caricom Islands of the Eastern Caribbean.",
America,Aruba,1,atlas,1986,Atlas published by Eastern Caribbean Natural Area Management Program,n/a,n/a,n/a,
America,Bahamas,1,report,2000,FAO 2001. Validation Sheet Bahamas. FAO Rome,paper,1991,"Bacon, PR. 1993. Mangroves in the Lesser Antilles, Jamaica and Trinidad and Tobago. In: Lacerda L.D. 1993",
Asia,Bangladesh,3,report,2005-2007,National Forest and Tree Resources Assessment,imagery,2011-2012,forest land cover map,
America,Barbados,2,imagery,2001,"Helmer, E. et al. 2007: Distribution of land cover and forest formations for St. Kitts, Nevis, St Eustatius, Frenada, and Barbados for satellite imagery",n/a,n/a,n/a,
America,Belize,1,report,2004,"Meerman, J. and W. Sabido 2001. Central American Ecosystems: Belize. Programme for Belize, Belize City (update in 2004, but without citation).",imagery,2012,"Cherrington et al. 2012. Forest Cover and Deforestation in Belize, 2010-2012",
Africa,Benin,1,report,2007,"PBR2-2007. Inventaire forestier national ProCGRN, 2008 (PGDRN)",report,1996,"Akpado, L. 2000. Etude sur les formation forestieres naturelles et sur les plantations forestieres au Benin CE-FAO-Programme Partenariat (1998-2000)",
Asia,Bhutan,2,report,1995,"RGOB, 1995. Land Cover Figures of Bhutan, Ministry of Agriculture, Royal Government of Bhutan",report,2010,MoAF. 2010. Technical report Bhutan Land Cover Assessment 2010 (LCMP 2010),
America,Bolivia,1,imagery,2010,"Mapa de Cobertura y Uso Actual de la Tierra 2010-Viceministerio de Tierras-MDRyTMapa de Cobertura y Uso Actual de la Tierra, 2001-Superintendencia Agraria",imagery,2011,Avance de la deforestacion en Bolivia Autoridad de Bosque y Tierra,
Africa,Botswana,1,report,1990,"Land Utilization Division, Ministry of Agriculture, Republic of Botswana. 1990. Land Systems Map of the Republic of Botswana.",report,2005,FRA 2000. Botswana country report.,
America,Brazil,1,imagery,2002,"Ministry of Environment (MMA)/Project for Conservation and Sustainable Use of Brazilian Biological Diversity (PROBIO), 2007. Laventamento e mapeamento dos remanescentes de cobertura vegetal dos biomas em 2002. ",report,2002-2008,"Ministry of Environment (MMA)/ Brazilian Environmental and Renewable Natural Resources Institute (IBAMA) - Center of Remote Sensing, 2009.",
America,British Virgin Islands,1,report,1980,"Caribbean Conservation Association 1980. Preliminary Data areas - British Virgin Islands: Toortula, Virgin Gorda & Anegada. Caribbean Conservation Association. University of Michigan, USA.",report,2001,British Virgin Islands Government. 2001 Use of the coastal zones and seabeds (provided Mangrove forest numbers).,
Asia,Brunei,1,report,1996,"DOF, 1996. An Introduction to Forestry in Brunei Darussalam. Department of Forestry, Ministry of Industry and Primary Resources, Brunei Darussalam.",report,1979,"Anderson & Marsden, 1984. Forest Resources & Strategic Planning Study",
Africa,Burkina Faso,2,report,2002,"MAHRH, 2006: Base de Donnees d'Occupation des Terres (BDOT) du Burkina Faso (1992 et 2002)/ Ministere de l'Agriculture, de l'Hydraulique et des Ressources Halieutiques",report,2012,"MEDD, 2013 a: Bilan annuel de la campagne nationale de reforestation 2012.",
Africa,Burundi,1,report,2005,Min Env: Analyse d'attenuation des emissions de gaz a effet de serre.,report,2001,MINATET. Prospective d secteur forestier en Afrique a l'horizon 2020 (FOSA),
Asia,Cambodia,3,imagery,2005,"""original remote sensing data with adequate ground truthing""",imagery,2002,"""original remote sensing data with adequate ground truthing""",
Africa,Cameroon,1,report,2004,National Forest Assessment,report,2000,Rapport principal. Evaluation des ressources forestieres mondailes 2000. Forestry Paper 140 FAO. 2001,
America,Cayman Islands,3,report,2009,Cayman Islands National Biodiversity Action Plan 2009 (habitat mapping data source),book,2008,"Burton, FJ (2008b). Vegetation Classification for the Cayman Islands. In: Threatened Plants of the Cayman Islands: The Red List. Pub. Royal Botanic Gardens Kew: Richmond Surrey UK.",
Africa,Central African Republic,1,report,1999,"Mangala P.M., Zanga A. 1999. Republique Centrafricaine. Evaluation des ressouces forestieres ligneuses. Etude realisee dans le cadre de FRA 2000. FAO",report,2010,Les Forets du bassin du Congo: Etat des Forets 2010,Most numbers are from 1999 or older. 2010 provided suplimental information.
Africa,Chad,1,report,2013,Programme systeme d'Information pour le Developpement Rural et L'Amenagement du Terriotire,report,1999,"Rapport de consultation (FAO) sur les ressouces forestieres et les plantations: Bardoum Djekourbain, 1999.",
America,Colombia,2,imagery,2012,"IDEAM, 2013. Memoria Tecnica de la Cuantification de la deforestacion historica nacional escalas fina, (en proceso de publication). IDEAM, 2013. Concentracion de alertas tempranas de deforestacion para el primer semestre de 2013.",report,2010,"Cabrera, et. al, IDEAM, 2011. Memoria Tecnica de la Cuantificaion de la deforestacion historica nacional escalas gruesa y fina. Instituto de Hidrologia, Meteorologia y Estudios Ambientales - IDEAM - Bogota, D.C. Colombia 106p",
America,Costa Rica,3,imagery,2013,Sistema Nacional de Areas de Conservacion (SINAC/MINAE). Unidad de Monitoreo Forestal. 2013.,imagery,2005,"Fondo Nacional de Financiamiento Forestal. 2007. Estudio de Monitoreo de Cobertura Forestal de Costa Rica 2005. San Jose, Costa Rica. 2007.",
Africa,Cote d'Ivoire,1,imagery,1993,"Ministere de l'Agriculture et des Ressources Animales. Developpement rural et preservation de l'environnement forestier. Ejeux et prespectives en zone de foret dense DCGTx, Dec. 1993.",report,2004,"Minist. D'Etat, Minist. De l'Agriculture (Dir des cultures. Perennes)",
America,Cuba,1,report,2011,"Documento de la Dinamica Forestal, Direccion Forestal, Ministerio de la Agricultura. Emision anual",report,2011,Servicio Estatal Forestal,
Africa,Democratic Republic of the Congo,1,report,2005,Rapport FRA 2005,n/a,n/a,n/a,
Africa,Djibouti,1,report,1985,Cirad - IEMVT. 1987. Carte de la vegetation et des ressources pastorales. 1/250 000. dans: Institute de la carte internationale de la vegetation (1991),n/a,n/a,n/a,
America,Dominica,1,imagery,2000,"Wood, E. 2000. Land cover map for Dominica. Carbbean Vegetation and Landcover Mapping Initiative. The Nature Conservancy, International Institute of Tropical Forestry, US Forest Service, EROS Data Center, and US Geological Service.",aerial photography,1984,Meteorolog�a y Estudios,
America,Dominican Republic,3,imagery,2012,DR. Ministerio de Medio Ambiente y Recursos Naturales 2013. Mapa de uso de la tierra y cobertura forestal,n/a,n/a,n/a,
America,Ecuador,3,imagery,2008,"Ministerio del Ambiente del Ecuador, Proyecto Mapa Historico de Deforestacion del Ecuador Continental (MDH). Mapas de uso y coberrtura de la tierra de lo anos 1990, 2000, 2008.",report,2003,"Puyravaud, J. 2003. Standarizing the calculation of the annual rate of deforestation. Forest Ecology and Management.",
America,El Salvador,1,imagery,2002,"Instituto Geografico Nacional de El Salvador, 2003. Mapa de Ocupacion del Suelo.",n/a,n/a,n/a,"There are other sources used for definitions and context, but only the 2002 source was used for reported numbers."
Africa,Equatorial Guinea,1,report,1990,FAO. 1992. Guinea Ecuatorial. Inventario Forestal Explotario. Isla de Bioko,report,1991,FAO. 1991. Guinea Ecuatorial. Informe sobre la consultoria en fotointerpretacion.,
Africa,Eritrea,1,report,1997,FAO. 1997. Support to Forestry and Wildlife subsector. Pre-investment study tcp/eri/6721,report,2000,FRA 2000.,
Africa,Ethiopia,2,report,1995,"Woody Biomass Inventory and Strategic Planning Project, Ministry of Agriculture and Rural Development, May 2004 (used imagery from 1995, and 1986-1989)",report,2000s,"""several local level scholarly studies, MSc and PhD studies based on satellite imageries and GIS analyses""",2008 data source that only covered planted forests
America,French Guiana,2,report,2012,PAG 2012 - Occupation du sol sur le territoire du Parc Amazonien de Guyane. ,report,2006,IFN 2008 - Suivi de l'occupation du sol et des changements d'occupation de sol en Guyane par teledetection satellitaire.,
Africa,Gabon,2,report,2013,PDSIRFN (project development of an inventory system),report,2013,"Rapport de pre stratification forestiere, 2013, PDSIRFN; Plan national climat, 2013",
Africa,Ghana,2,report,1990-2010,"Report on mapping of forest cover and carbon stock in Ghana. Mapping Consultants Services, The Forest Preservation Program, Under a Japanese Grant Aid to the Republic of Ghana, 2013.",report,1996,"Kotey NA et al. (1998) Falling into Place, Ghana, Policy that Works for Forest and People. IIAD. United Kington. IIAD 1996.",
America,Grenada,1,imagery,2000,"Helmer et al 2008. Land Cover and Forest Formation Distributions for St. Kitts, Nevis, St. Eustatius, Grenada and Barbados from Decision Tree Classification of Cloud Cleared Satellite Imagery",report,1991,"Paterson, G. 2000. Grenada Country Report: Forestry outlook study for the Caribbean. In: Proceedings of Sub-regional Workshop on Data Collection and Outlook Effort for Forestry in the Caribbean, Port-of-Spain, Trinidad and Tobago, 21-25 Feb 2000. FAO, Rome.",
America,Guadeloupe,2,report,2012,"Thomas Gilardoni, Utilisation des outils de teledetection pour cartographier les espaces bioses de la Guadeloupe et proposition de seuils des massifs pour les demandes de defrichement",report,2011,"DEAL Guadeloupe, Profil environnemental regional de la Guadeloupe 2011",
America,Guatemala,2,report,2010,Mapa de Cobertura Forestal de Guatemala 2010 y Dinamica de la Cobertura Forestal 2006-2010,report,2003,Mapa de uso del suelo 2003,
Africa,Guinea,1,report,2005,FRA 2005 rapport principal,report,1988,"Republique de Guinee, 1988. Politique et plan d'action. Annexe 1. Vegetation et forets. Plan d'action forestier tropical.",
Africa,Guinea-Bissau,1,imagery,1990,CIRAD foret. 1992. Evaluation des surfaces forestieres en Guinee-Bissau: Programme d'Action Forestier Tropical (PAFT),report,1976,"SCET International. 1978 Potentialites agricoles, forestieres et pastorales - 3 volumes.",
America,Guyana,2,report,2009,Guyana REDD+ Monitoring Reporting and Verification System Interim Measures Report (1 Oct 2010-31 Dec 2011),report,2013,Guyana National Land Use Plan (used for land use classes),
America,Haiti,1,report,1988,"Universite Catholique de Louvain, 1998. Etude de la deforestation et la degradation de l'environment a Haiti. In FAO, 1998. Forestry policies in the Caribbean.",report,1956,"FAO, 1978. Reboisement et lutte contre l'ecrosion Haiti. Etude qualitative et quantitative de l'evolution du couvert forestier entre 1956-1958.",A 1990 source was used for planted areas
America,Honduras,1,report,2005,"Evaluacion Nacional Forestal. Resultados del inventario de bosques y arboles 2005-2006, FAO, AFE-COHDEFOR",report,2000,"AFE-COHDEFOR, Anuario Estadistico Forestal",
Asia,India,3,imagery,2008,"India State of Forest Report, 2011. Forest Survey of India, MOEF, GOI, India.",imagery,2000,"State of Forest Report, 2001. Forest Survey of India, MOEF, GOI, India.",
Asia,Indonesia,3,imagery,2006,"Indonesia Land Cover Recalculation 2008. (In Indonesia) Forestry Planning Agency, MoF Indonesia.",imagery,2003,"Indonesia Land Cover Recalculation 2003. (In Indonesia) Forestry Planning Agency, MoF","Report states that ""2003 and 2006 data"" were used to extrapolate forest area. There is no obvious 2006 data, so the primary source is assumed. There is also a ""Deforestation Account of Indonesia, 2006-2009 listed in the data sources."
America,Jamaica,2,imagery,1998,"Evelyn OB and Camirand R. 2003 Forestry cover and deforestation in Jamaica: an analysis of forest cover and estimates over time. Jamaica. International Forestry Review, 5(4) 2003, pp. 354-363 (table6)",n/a,n/a,n/a,
Africa,Kenya,2,imagery,2010,Report on National Forest Resource Mapping and Capacity Development for the Republic of Kenya: Vol 2.,report,1994,Kenya Forestry Master Plan 1994,Also includes 2008 plantation data source
Asia,Laos,2,imagery,2010,"Remote Sensing, FIPD, FIM (JICA) Alos, Spot5, Rapideye",imagery,2002,"Remote Sensing, FIPD, SIDA (Sweden), SPOT 4 and 5 (visually)",
Africa,Liberia,1,imagery,2006,CI_SDSU Christie et al (2007) (data from 2000-2006),imagery,2003,"Nocholas Bayol et Jean-Franquis Chevelier, 2004. Current State of the Forest Cover in Liberia; Forest information Critical to Decision Making Study Report. World Bank. Washington USA",
Africa,Madagascar,1,imagery,2010,"ONE, FTM, MNP",report,1996,"Direction Generale des Forests, Resultats de I'Inventoaire Ecologieque Forestier National (IEFN)",
Africa,Malawi,2,report,1990,"Department of Forest, Ministry of Forestry and Natural Resources. 1993. Forest Resources Mapping and Biomass Assessment for Malawi. Implementing agency: Satellitbild",report,2012,"Department of Forestry, Ministry of Environment and climate Change Management 2012, Forest Resource Mapping Project under the Japanese Grant for Forest Preservation Programme.","Report states that 1990 is the most up to date source used for numbers, but a 2012 source is also listed in the source table."
Asia,Malaysia,3,report,2012,Forestry Department of Peninsular Malaysia. Annual Report and Statistics Report,report,2012,Sarawak and Sabah Forestry Department,Report cites many province level forestry annual and statistical reports from 1988-2012
Africa,Mali,1,imagery,2013,imagery interpretation using CollectEarth,report,2006,PELACD. Etude d'inventaire forestier en 5eme 6eme et 7eme Regions du Mali. Tome 1 methodologie - aspects technique et organisationnels.,
America,Martinique,1,report,2008,"Durrieu de Madron, 2008, Expertise sur les references dendrometriques necessaries au renseignement de l'inventaire national de gaz a effet de serre pour les forets de la Gaudeloupe, Martinieuq et Reunion.",report,2004,"IFN, 2008, Cartographie des grands espaces forestiers et naturels de la Martinque",
Africa,Mauritania,1,report,2010,FRA 2010 Mauritanie,report,2004,Inventaire de l'occurpation de sol de la rive droite de fleuve Senegal,These are partial inventories. Data is also taken from 1999 and 1981 dated sources.
America,Mexico,2,imagery,2011,"Conjunto de datos Vectoriales de la Carta de Uso del Suelo y Vegetacion. Escala 1:250,000 Serie V Continuo Nacional. INEGI",imagery,2007,"Conjunto de datos Vectoriales de la Carta de Uso del Suelo y Vegetacion. Escala 1:250,000 Serie IV Continuo Nacional. INEGI",
America,Montserrat,1,report,1982,"Caribbean Development Bank 1983. Regional Country Sector Study, Country Report, Monserrat",report,1985,"CARICOM Tropical Forestry Action Plan Montserrat 1991 (used for ""other wooded land"")",
Africa,Mozambique,2,imagery,2005,"Jansen Jansen, L et al. 2006. Satellite image interpretation of landcover types in Manica and Maputo Provinces at nominal scale of 1:250 000 and at National level scale of 1: 1000000. DNTF_AIFM, Maputo",report,2012,"DNTF, 2010. Relatorio Annual 2009, 2010, 2011, 2012 Mapto (used for Afforestation Areas)",
Asia,Myanmar,2,imagery,2010,remote sensing interpretation,imagery,2006,remote sensing interpretation,
Africa,Namibia,1,report,2000,Forest Policy in Namibia,report,1992,"Holm, D.  and Graz, P. 1992. Forest Cover Mapping Northern Namibia Phase I II, Vol I II",
Asia,Nepal,1,report,1998,"DFRS, 1999. Forest Resources of Nepal (1987-1998). Department of Forest Research and Survey, Ministry of Forest and Soil Conservation, Kathmandu, Nepal",,1979,"HMGN/ADB/FINNIDA, 1998. Master Plan for the Forestry Sector in Nepal. (Based on Land Resources Mapping Data from 1978/79",
America,Netherlands Antilles,2,report,1991,"International Institute of Tropical Forestry, USDA Forest Service. 2000. The 2000 FAO Forest Resource Assessment for the Caribbean",n/a,n/a,n/a,
America,Nicaragua,3,report,2008,Inventorio Nacional Forestal,report,2000,"Instituto Nacional Forestal, Ministerio Agropecuario y Forestal (INAFORMAGFOR)",
Africa,Niger,2,report,2005,FRA 2005 report,report,1977,Fontes J. 1985. Evaluation des ressources forestieres au Niger. Situation 1980-1985.,
Africa,Nigeria,1,report,1994,"Olufemi A. Olaleye and Ameh, CE 1999. Forest Resource Situation Assessment of Nigeria EC-FAO Partnership program.",n/a,n/a,n/a,
Asia,Palau,3,imagery,2002,"Preliminary land cover assessment for the Republic of Palau, USDA Forest Service, Pacific Northwest Forest Inventory and Analysis",aerial photography,1979,"Cole et al. 1987. Vegetation Survey of the Republic of Palau Resource Bulletin PSW-RB-22, Pacific Southwest Research Station, USDA Forest Service",
America,Panama,3,report,2012,"ANAM/ONU-REDD, 2014. Mapa de cobertura boscosa y uso de la tierra 2012. Resultados preliminares",imagery,2012,"Hansen et al. 2013. ""High-Resolution Global Maps of 21st Century Forest Cover Change. Science 342 (15 November): 850:53.",
Asia,Papua New Guinea,2,report,1996,"McAlpine, J & Quigley J. (Coffey MPW Pty. Ltd for AudAid: Canberra & Papua New Guinea National Forest Service. 1998. Forest Resources of Papua New Guinea. Summary Statistics from the Forest Inventory Mapping System",report,1975,"McAlpine, J & Quigley J. (Coffey MPW Pty. Ltd for AudAid: Canberra & Papua New Guinea National Forest Service. 1998. Forest Resources of Papua New Guinea. Summary Statistics from the Forest Inventory Mapping System",
America,Paraguay,2,imagery,2011,Proyecto Apoyo al Deserrollo Forestal Sostenible del Paraguay TCP/PAR/3304. Atlas para la Implementacion del Ordenamiento Territorial Forestal. 2013,imagery,2002,MESA FORESTAL NACIONAL. 2002. Estudio para la identificacion de areas prioritarias para el Mangejo de Bosques Nativos y la Reforestacion. MFN/FAO/GTZ. Paraguay.,
America,Peru,2,imagery,2011,"Ministerio de Agricultura y Riego, Ministerio del Ambiente. Mapa de Bosque no Bosque del ano 2000 y Mapa de perdida",report,2009,"Ministerio del Ambiente. Memoria Descriptiva. Mapa de Cobertura Vegetal del Peru. Lima, Peru 2012.",
Asia,Philippines,2,imagery,2010,"2010 Land Cover Mapping. National Mapping and Resource Information Authority and FMB, Department of Environment and National Resources.",imagery,2003,"FMB. 2003. Philippine Forestry Statistics. Forest Management Bureau, Department of Environment and Natural Resources. Philippines. ",
America,Puerto Rico,3,report,2009,"Brandeis, T.J., and J.A. Turner. 2013. Puerto Rico's Forests, 2009. Resource Bulletin SRS-191, USDA Forest Service Southern Research Station, Asheville NC. Pg.85",report,2003,"Brandeis, T.J., and J.A. Turner. 2007. The Status of Puerto Rico's Forests, 2003. Resource Bulletin SRS-119, USDA Forest Service Southern Research Station, Asheville NC. Pg.75",
Africa,Republic of Congo,1,imagery,2004,CNIAF/MEFDD Imagerie satellitaire,report,1993,CNIAF/MEFDD Carte IGN au 1/100.000,
Africa,Rwanda,1,aerial photography,2012,"Rwanda Forest Cover Mapping using high resolution aerial photographs, Dec 2012, by the GIS & Remote Sensing Research and Training Center of the National University of Rwanda.",report,2007,Rapport d'inventaire des ressources ligneuses,
America,Saint Kitts and Nevis,2,imagery,2010,"Helmer et al. 2008. Land Cover and Forest Formation Distributions for St. Kitts, Nevis, St. Eustatius, Grenada and Barbados from Decision Tree Classification of Cloud-Cleared Satellite Imagery",report,1983,"Caribbean Development Bank. 1983. Regional Forestry Sector Study, Country Report St Christopher and Nevis, Caribbean Development Bank",
America,Saint Lucia,2,aerial photography,2009,"Graveson, et al. 2009. Vegetation Map of St. Lucia",imagery,2001,"Schill, et al. 2006. Forest Formation and Land Cover Map Series: St. Lucia",
America,Saint Vincent and the Grenadines,1,imagery,2001,"Schill, et al. 2006. Forest Formation and Land Cover Map Series: St. Lucia",report,1993,Forestry Division of the Ministry of Agriculture Industry and Labour. 1994. National Forest Inventory Report. Annex 1 of the National Resource Conservation Plan,
Africa,Senegal,2,report,2009,Projet de gestion durable des forets et des energies traditionnelles de substitution (PROGEDE),report,2004,Projet de gestion durables des forets et des energies traditionnelles de substitution (PROGEDE),
Africa,Sierra Leone,1,report,"1976, 1986",Laumans Paul A. 1996. Review of Existing Sources of information for Forest Resource Assessment in Sierra Leone. Working Document No X.,report,2013,"""Expert estimation"" taking factors into account such as improvement in restoration after civil war and increased plantation expansion.",Numbers used for extrapolation come from primary source.
Asia,Singapore,1,report,2010,"Yee et al. 2011. The vegetation of Singapore - an updated map. The Gardens' Bulletin, Singapore 63 (1&2): 205-212. National Parks Board",report,1997,"Chan & Corlett 1997 Biodiversity in the Nature Reserves of Singapore. Proceedings of the Nature Reserve Survey Seminar. The Garden's Bulletin, Singapore Vol. 49, Part 2.",
Asia,Solomon Islands,1,report,2006,"Solomon Islands Forestry Management Project (SIMP), 2006. National Forest Resources Assessment update 2006.",report,2003,"Solomon Islands Forestry Management Project (SIMP), 2003. National Forest Resources Assessment.",
Africa,Somalia,1,report,1980,FAO. 1988. Interim Report FAO.,n/a,n/a,n/a,
Asia,Sri Lanka,1,imagery,2010,GOSL. 2010. Forest Cover Mapping 2010. Forest Inventory Division. Forest Department. Sri Lanka.,imagery,1996,GOSL. 2000. Forest Cover Mapping 2000. Forest Inventory Division. Forest Department. Sri Lanka.,
Africa,Sudan,1,Atlas,2012,Sudan Land Cover Atlas. 2012. FAO/SIFSIA.,report,2000,"Dawelbait et al. 2006. Estimating forest cover and forest change in Sudan. Forest Resources Assessment Working Paper 109. FAO, Rome",
America,Suriname,2,imagery,"2000, 2009",Observation Room of Suriname. Remote sensing project to monitor forests.,n/a,n/a,n/a,
Africa,Swaziland,2,report,1999,Central Statistics Office,report,1990,"Thurland, M. 1999. Forest Resource Assessment",
Africa,Tanzania,2,report,2014,Ministry of Natural Resources and Tourism 2014 National Forest Resources Monitoring and Assessment (NAFORMA) Final Report.,report,2012,"Ministry of Natural Resources and Tourism. 2012. Participatory Forest Management in Tanzania, Facts and Figures.",
Asia,Thailand,2,report,2008,"RFD, 2008. Statistical Data 2008. Office of Planning and Information, Royal Forest Department. Thailand.",report,2007,"RFD, 2007. Statistical Data 2007. Office of the Secretary. Royal Forest Department. Thailand.",
Africa,The Gambia,1,report,2010,National Forest Assessment (NFA 2009/2010),report,1998,National Forest Assessment 2008-2010. National Action Programme to Combat Desertification (NAP) 2000: The Gambia.,
Asia,Timor Leste,1,report,2008,Ongoing National Forest Inventory,report,2007,Forestry Annual Report,Introduction explains that there is no reliable data. In part due to political instability.
Africa,Togo,1,report,1975,partial national inventory,n/a,n/a,n/a,there are technically no data sources listed in the report.
America,Trinidad and Tobago,2,aerial photography,1994,Internal Records Drawing Office Forestry Division,aerial photography,1970,Forest Resource Inventory and Management Section Inventory of the Indigenous Forests of Trinidad and Tobago. 1980. ,
America,Turks and Caicos Islands,1,report,1983,"Caribbean Development Bank. 1983. Regional Forest Sector Study, Final Report, Caribbean Development Bank/DFS.",n/a,n/a,n/a,
Africa,Uganda,2,imagery,2005,National Forest Authority GIS and Mapping,report,1992,National Biomass Technical Report: 2003,
America,US Virgin Islands,3,report,2009,"US Forest Service, Forest Inventory and Analysis Database",report,2004,"US Forest Service, Forest Inventory and Analysis Database",
America,Venezuela,2,imagery,2010,"Ministerio del Poder Popular para el Ambiente (MPPA). 2011. Mapa de Cobertura Vegetal de Venezuela. Inventario Nacional Forestal. Escala 1:250.000. Despacho del Viceministro de Conservacion Ambiental, Direccion General de Bosques. Caracas, Venezuela.",report,1995,"Ministerio del Ambiente y Recursos Naturales (MARN). 1999. Mapa de la Vegetacion de Venezuela. Escala 1:125.000. Direccion de Vegetacion. Caracas, Venezuela.",
Asia,Vietnam,2,report,2007,General statistics office of Vietnam,report,2005,"National program for surveying, evluating the changes of forest resources",
Africa,Zambia,2,report,2007,"Zambia Forestry Department 2009, Integrated Land Use Assessment (ILUA)",report,1974,Chakanga M & de Backer M. 1986. The forest vegetation of Zambia. Wood Consumption and Resource Survey of Zambia.,
Africa,Zimbabwe,1,report,2008,VeGRIS 2008,report,1992,"Kwesha, D. & Dreiser, D. 1997, Vegetation mapping in Zimbabwe - VEGRIS",


Data_Product_Identifier,Data_Product_Name,Data_Product_Level1,Units,DPS_DCN_s_,Processing_Flow_Diagram_DCN_s_,Instrument_Class,Instrument_Name,First_Deployment_Date,DOORS_L2_Science_Req__,Regime_s_
ABSTHRM,PHSEN Thermistor Temperature,L0,volts,DCN 1341-00507,DCN 1342-00510,PHSEN,pH stable,2013-07-17,Derived from design to achieve PHWATER,Water Column
BARPRES,Barometric Pressure,L0,mbar,DCN 1341-00360,DCN 1342-00360,METBK,Meteorology bulk,2013-11,L2-SR-RQ-3020,"Air-Sea Interface, Surface Water"
BARPRES,Barometric Pressure,L1,Pa,DCN 1341-00360,DCN 1342-00360,METBK,Meteorology bulk,2013-11,L2-SR-RQ-3020,"Air-Sea Interface, Surface Water"
BENTHFL,Benthic Flow Rates,L2,m/yr,DCN 1341-00220,DCN 1342-00220,FLOBN,Benthic Flow,2014-07,L2-SR-RQ-3087,Seafloor/Crust
BOTPRES,Nano-resolution Bottom Pressure,L1,nanoPascal,DCN 1341-00070,DCN 1342-00060,BOTPT,Pressure bottom tilt,2014-07,L2-SR-RQ-3084,Seafloor/Crust
BOTSFLU,Seafloor Uplift and Deflation,L2,meters,DCN 1341-00080,DCN 1342-00060,BOTPT,Pressure bottom tilt,2014-07,L2-SR-RQ-3084,Seafloor/Crust
BOTTILT,Seafloor High-Resolution Tilt,L0,microradians,DCN 1341-00060,DCN 1342-00060,BOTPT,Pressure bottom tilt,2014-07,L2-SR-RQ-3084,Seafloor/Crust
BOTTILT,Seafloor High-Resolution Tilt,L1,microradians,DCN 1341-00060,DCN 1342-00060,BOTPT,Pressure bottom tilt,2014-07,L2-SR-RQ-3084,Seafloor/Crust
CAMSTIL,Still Image ,L1,Lossless compression Image File,DCN 1341-00830,n/a,CAMDS,Camera digital still strobe,2014-04,L2-SR-RQ-3805,"Benthic Boundary Layer, Seafloor/Crust"
CDOMFLO,Fluorometric CDOM Concentration,L0,counts,DCN 1341-00550,DCN 1342-00530,FLORT,Fluorometer three wavelength,2013-07-17,L2-SR-RQ-3187,Water Column
CDOMFLO,Fluorometric CDOM Concentration,L1,ppm,DCN 1341-00550,DCN 1342-00530,FLORT,Fluorometer three wavelength,2013-07-17,L2-SR-RQ-3187,Water Column
CHLAFLO,Fluorometric Chlorophyll-a Concentration,L0,counts,DCN 1341-00530,"DCN 1342-00531 (FLORD), DCN 1342-00530 (FLORT)",FLORD,Fluorometer two wavelength,2013-07-17,L2-SR-RQ-3185,Water Column
CHLAFLO,Fluorometric Chlorophyll-a Concentration,L0,counts,DCN 1341-00530,"DCN 1342-00531 (FLORD), DCN 1342-00530 (FLORT)",FLORT,Fluorometer three wavelength,2013-07-17,L2-SR-RQ-3185,Water Column
CHLAFLO,Fluorometric Chlorophyll-a Concentration,L1,ug/L,DCN 1341-00530,"DCN 1342-00531 (FLORD), DCN 1342-00530 (FLORT)",FLORD,Fluorometer two wavelength,2013-07-17,L2-SR-RQ-3185,Water Column
CHLAFLO,Fluorometric Chlorophyll-a Concentration,L1,ug/L,DCN 1341-00530,"DCN 1342-00531 (FLORD), DCN 1342-00530 (FLORT)",FLORT,Fluorometer three wavelength,2013-07-17,L2-SR-RQ-3185,Water Column
CO2ABS1,Optical Absorbance Ratio at 434nm,L0,unitless,DCN 1341-00487,DCN 1342-00490,PCO2W,pCO2 water,2013-11,Derived from design to achieve PCO2WAT,Water Column
CO2ABS2,Optical Absorbance Ratio at 620nm,L0,unitless,DCN 1341-00488,DCN 1342-00490,PCO2W,pCO2 water,2013-11,Derived from design to achieve PCO2WAT,Water Column
CO2FLUX,Flux of CO2 from the Ocean into the Atmosphere,L2,mol m-2 s-1,DCN 1341-00270,DCN 1342-00260,PCO2A,pCO2 air-sea,2013-11,L2-SR-RQ-3032,Air-Sea Interface
CO2THRM,PCO2W Thermistor Temperature,L0,volts,DCN 1341-00489,DCN 1342-00490,PCO2W,pCO2 water,2013-11,Derived from design to achieve PCO2WAT,Water Column
CONDSRF,Sea Surface Conductivity,L1,S/m,DCN 1341-00360,DCN 1342-00360,METBK,Meteorology bulk,2013-11,"L2-SR-RQ-3413, L2-SR-RQ-3711","Air-Sea Interface, Surface Water"
CONDWAT,Conductivity,L0,unitless,DCN 1341-00030,DCN 1342-00010,CTDAV,CTD AUV,2013-07-17,L2-SR-RQ-3045,Water Column
CONDWAT,Conductivity,L0,unitless,DCN 1341-00030,DCN 1342-00010,CTDBP,CTD Bottom Pumped,2013-07-17,L2-SR-RQ-3045,Water Column
CONDWAT,Conductivity,L0,unitless,DCN 1341-00030,DCN 1342-00010,CTDGV,CTD Glider,2013-07-17,L2-SR-RQ-3045,Water Column
CONDWAT,Conductivity,L0,unitless,DCN 1341-00030,DCN 1342-00010,CTDMO,CTD Mooring,2013-07-17,L2-SR-RQ-3045,Water Column
CONDWAT,Conductivity,L0,unitless,DCN 1341-00030,DCN 1342-00010,CTDPF,CTD Profiler,2013-07-17,L2-SR-RQ-3045,Water Column
CONDWAT,Conductivity,L1,S/m,DCN 1341-00030,DCN 1342-00010,CTDAV,CTD AUV,2013-07-17,L2-SR-RQ-3045,Water Column
CONDWAT,Conductivity,L1,S/m,DCN 1341-00030,DCN 1342-00010,CTDBP,CTD Bottom Pumped,2013-07-17,L2-SR-RQ-3045,Water Column
CONDWAT,Conductivity,L1,S/m,DCN 1341-00030,DCN 1342-00010,CTDGV,CTD Glider,2013-07-17,L2-SR-RQ-3045,Water Column
CONDWAT,Conductivity,L1,S/m,DCN 1341-00030,DCN 1342-00010,CTDMO,CTD Mooring,2013-07-17,L2-SR-RQ-3045,Water Column
CONDWAT,Conductivity,L1,S/m,DCN 1341-00030,DCN 1342-00010,CTDPF,CTD Profiler,2013-07-17,L2-SR-RQ-3045,Water Column
DENSITY,Density,L2,kg/m^3,DCN 1341-00050,DCN 1342-00010,CTDAV,CTD AUV,2013-07-17,L2-SR-RQ-3065,Water Column
DENSITY,Density,L2,kg/m^3,DCN 1341-00050,DCN 1342-00010,CTDBP,CTD Bottom Pumped,2013-07-17,L2-SR-RQ-3065,Water Column
DENSITY,Density,L2,kg/m^3,DCN 1341-00050,DCN 1342-00010,CTDGV,CTD Glider,2013-07-17,L2-SR-RQ-3065,Water Column
DENSITY,Density,L2,kg/m^3,DCN 1341-00050,DCN 1342-00010,CTDMO,CTD Mooring,2013-07-17,L2-SR-RQ-3065,Water Column
DENSITY,Density,L2,kg/m^3,DCN 1341-00050,DCN 1342-00010,CTDPF,CTD Profiler,2013-07-17,L2-SR-RQ-3065,Water Column
DNASAMP,16s rRNA sequence of filtered physical sample,L2,2 micron filter,DCN 1341-00630,n/a,PPSDN,DNA particulate,2014-07,L2-SR-RQ-3850,Seafloor/Crust
DOCONCF,Oxygen Concentration from Fastrep DO Instrument,L0,counts,DCN 1341-00521,DCN 1342-00521,DOFST,Oxygen dissolved fastresp,2013-11, L2-SR-RQ-3048,Water Column
DOCONCF,Oxygen Concentration from Fastrep DO Instrument,L2, µmol/kg,DCN 1341-00521,DCN 1342-00521,DOFST,Oxygen dissolved fastresp,2013-11,L2-SR-RQ-3048,Water Column
DOCONCS,Oxygen Concentration from Stable DO Instrument,L0,angular degrees,DCN 1341-00520,DCN 1342-00520,DOSTA,Oxygen dissolved stable,2013-07-17,L2-SR-RQ-3048,Water Column
DOCONCS,Oxygen Concentration from Stable DO Instrument,L1,umol/kg,DCN 1341-00520,DCN 1342-00520,DOSTA,Oxygen dissolved stable,2013-07-17, L2-SR-RQ-3048, Water Column
DOXYGEN,Oxygen Concentration from Stable DO Instrument,L2,µmol/kg ,DCN 1341-00520,DCN 1342-00520,DOSTA,Oxygen dissolved stable,2013-07-17,L2-SR-RQ-3048,Water Column
ECHOINT,Echo Intensity,L0,dB,"DCN 1341-00750 (ADCPA, ADCPS, ADCPT), DCN 1341-00760 (VADCP)","DCN 1342-00750 (ADCPA, ADCPS, ADCPT), DCN 1342-00760 (VADCP)",ADCPA,Velocity profile Mobile Asset,2013-07-17,L2-SR-RQ-3887,Water Column
ECHOINT,Echo Intensity,L0,dB,"DCN 1341-00750 (ADCPA, ADCPS, ADCPT), DCN 1341-00760 (VADCP)","DCN 1342-00750 (ADCPA, ADCPS, ADCPT), DCN 1342-00760 (VADCP)",ADCPS,Velocity profile Long Range,2013-07-17,L2-SR-RQ-3887,Water Column
ECHOINT,Echo Intensity,L0,dB,"DCN 1341-00750 (ADCPA, ADCPS, ADCPT), DCN 1341-00760 (VADCP)","DCN 1342-00750 (ADCPA, ADCPS, ADCPT), DCN 1342-00760 (VADCP)",ADCPT,Velocity profile Short Range,2013-07-17,L2-SR-RQ-3887,Water Column
ECHOINT,Echo Intensity,L0,dB,"DCN 1341-00750 (ADCPA, ADCPS, ADCPT), DCN 1341-00760 (VADCP)","DCN 1342-00750 (ADCPA, ADCPS, ADCPT), DCN 1342-00760 (VADCP)",VADCP,Velocity profile 50m turb,2013-07-17,L2-SR-RQ-3887,Water Column
ECHOINT,Echo Intensity,L1,dB,"DCN 1341-00750 (ADCPA, ADCPS, ADCPT), DCN 1341-00760 (VADCP)","DCN 1342-00750 (ADCPA, ADCPS, ADCPT), DCN 1342-00760 (VADCP)",ADCPA,Velocity profile Mobile Asset,2013-07-17,L2-SR-RQ-3887,Water Column
ECHOINT,Echo Intensity,L1,dB,"DCN 1341-00750 (ADCPA, ADCPS, ADCPT), DCN 1341-00760 (VADCP)","DCN 1342-00750 (ADCPA, ADCPS, ADCPT), DCN 1342-00760 (VADCP)",ADCPS,Velocity profile Long Range,2013-07-17,L2-SR-RQ-3887,Water Column
ECHOINT,Echo Intensity,L1,dB,"DCN 1341-00750 (ADCPA, ADCPS, ADCPT), DCN 1341-00760 (VADCP)","DCN 1342-00750 (ADCPA, ADCPS, ADCPT), DCN 1342-00760 (VADCP)",ADCPT,Velocity profile Short Range,2013-07-17,L2-SR-RQ-3887,Water Column
ECHOINT,Echo Intensity,L1,dB,"DCN 1341-00750 (ADCPA, ADCPS, ADCPT), DCN 1341-00760 (VADCP)","DCN 1342-00750 (ADCPA, ADCPS, ADCPT), DCN 1342-00760 (VADCP)",VADCP,Velocity profile 50m turb,2013-07-17,L2-SR-RQ-3887,Water Column
FLUBSCT,Optical Backscatter (Red Wavelengths),L0,counts,DCN 1341-00540,"DCN 1342-00531 (FLORD), DCN 1342-00530 (FLORT)",FLORD,Fluorometer two wavelength,2013-07-17,L2-SR-RQ-3059,Water Column
FLUBSCT,Optical Backscatter (Red Wavelengths),L0,counts,DCN 1341-00540,"DCN 1342-00531 (FLORD), DCN 1342-00530 (FLORT)",FLORT,Fluorometer three wavelength,2013-07-17,L2-SR-RQ-3059,Water Column
FLUBSCT,Optical Backscatter (Red Wavelengths),L1,1/m,DCN 1341-00540,"DCN 1342-00531 (FLORD), DCN 1342-00530 (FLORT)",FLORD,Fluorometer two wavelength,2013-07-17,L2-SR-RQ-3059,Water Column
FLUBSCT,Optical Backscatter (Red Wavelengths),L1,1/m,DCN 1341-00540,"DCN 1342-00531 (FLORD), DCN 1342-00530 (FLORT)",FLORT,Fluorometer three wavelength,2013-07-17,L2-SR-RQ-3059,Water Column
FLUXHOT,Direct Covariance Flux of Heat,L2,J m^(-2) s^(-1),DCN 1341-00330,DCN 1342-00280,FDCHP,Flux direct covariance,2013-11,L2-SR-RQ-3062,Air-Sea Interface
FLUXMOM,Direct Covariance Flux of Momentum,L2,kg m^(-1) s^(-2),DCN 1341-00320,DCN 1342-00280,FDCHP,Flux direct covariance,2013-11,L2-SR-RQ-3033,Air-Sea Interface
FRSHFLX ,Freshwater Flux,L2,m3/s,,,METBK,Meteorology bulk,2013-11,,
GRNDACC,Broadband Ground Acceleration,L1,m/s^2,DCN 1341-00100,DCN 1342-00090,OBSBB,Seismometer BB triaxial accel,2014-07,L2-SR-RQ-3603,Seafloor/Crust
GRNDACC,Broadband Ground Acceleration,L1,m/s^2,DCN 1341-00100,DCN 1342-00090,OBSBK,Seismometer BB triaxial keck,2014-07,L2-SR-RQ-3603,Seafloor/Crust
GRNDVEL,Broadband Ground Velocity,L1,m/s,DCN 1341-00090,DCN 1342-00090,OBSBB,Seismometer BB triaxial accel,2014-07,L2-SR-RQ-3096,Seafloor/Crust
GRNDVEL,Broadband Ground Velocity,L1,m/s,DCN 1341-00090,DCN 1342-00090,OBSBK,Seismometer BB triaxial keck,2014-07,L2-SR-RQ-3096,Seafloor/Crust
HDVIDEO,HD Video ,L1,Lossless compression Image File,DCN 1341-00840,n/a,CAMHD,Camera digital video HD,2014-07,L2-SR-RQ-3804,Seafloor/Crust
HEATFLX ,Net Heat Flux,L2,W/m2,,,METBK,Meteorology bulk,2013-11,,
HYDAPBB,Broadband Acoustic pressure waves ,L0,TBD,DCN 1341-00820,DCN 1342-00810,HYDBB,Hydrophone BB passive,2014-07,L2-SR-RQ-3086,"Water Column, Seafloor/Crust"
HYDAPBB,Broadband Acoustic pressure waves ,L1,dB//1uPa/V,DCN 1341-00820,DCN 1342-00810,HYDBB,Hydrophone BB passive,2014-07,L2-SR-RQ-3086,"Water Column, Seafloor/Crust"
HYDAPLF,Low Frequency Acoustic pressure waves,L0,,DCN 1341-00821,DCN 1341-00821,HYDLF,Hydrophone LF passive,2014-07,,
HYDAPLF,Low Frequency Acoustic pressure waves,L1,,DCN 1341-00821,DCN 1342-00821,HYDLF,Hydrophone LF passive,2014-07,,
HYDFRBB,Broadband Frequency,L0,TBD,DCN 1341-00810,DCN 1342-00810,HYDBB,Hydrophone BB passive,2014-07,Derived from design to achieve HYDACR,"Water Column, Seafloor/Crust"
HYDFRBB,Broadband Frequency,L1,KHz,DCN 1341-00810,DCN 1342-00810,HYDBB,Hydrophone BB passive,2014-07,Derived from design to achieve HYDACR,"Water Column, Seafloor/Crust"
IES_HEF,Horizontal Electric Fields,L0,TBD,DCN 1341-00580,DCN 1342-00560,HPIES,IES pressure velocity,2014-07,L2-SR-RQ-3912,Water Column
IES_HEF,Horizontal Electric Fields,L1,micro volt/cm,DCN 1341-00580,DCN 1342-00560,HPIES,IES pressure velocity,2014-07,L2-SR-RQ-3912,Water Column
IES_WPP,Water Property Profile Time Series,L2,"T (degree C), salinity (unitless), density (kgm-3)",DCN 1341-00600,DCN 1342-00560,HPIES,IES pressure velocity,2014-07,L2-SR-RQ-3073,Water Column
IESAHWV,Vertically Averaged Horizontal Water Velocity (VAHWV) ,L2,m/s,DCN 1341-00590,DCN 1342-00560,HPIES,IES pressure velocity,2014-07,L2-SR-RQ-3641,Water Column
IESHEAT,Water Column Heat Content,L2,Jm-2,DCN 1341-00610,DCN 1342-00560,HPIES,IES pressure velocity,2014-07,L2-SR-RQ-3073,Water Column
IESPRES,Bottom Pressure,L0,TBD,DCN 1341-00570,DCN 1342-00560,HPIES,IES pressure velocity,2014-07,L2-SR-RQ-3918,Water Column
IESPRES,Bottom Pressure,L1,Pa,DCN 1341-00570,DCN 1342-00560,HPIES,IES pressure velocity,2014-07,L2-SR-RQ-3918,Water Column
IESRATT,Roundtrip Acoustic Travel Time (RATT),L0,TBD,DCN 1341-00560,DCN 1342-00560,HPIES,IES pressure velocity,2014-07,L2-SR-RQ-3593,Water Column
IESRATT,Roundtrip Acoustic Travel Time (RATT),L1,milliseconds,DCN 1341-00560,DCN 1342-00560,HPIES,IES pressure velocity,2014-07,L2-SR-RQ-3593,Water Column
LATNFLX ,Latent Heat Flux,L2,W/m2,,,METBK,Meteorology bulk,2013-11,,
LONGIRR,Downwelling Longwave Irradiance,L1,W/m2,DCN 1341-00360,DCN 1342-00360,METBK,Meteorology bulk,2013-11,L2-SR-RQ-3021,"Air-Sea Interface, Surface Water"
MASSPEC,Suite of Dissolved Gas Measurements (10-20 individual gases) vs. Time ,L0,TBD,DCN 1341-00240,DCN 1342-00240,MASSP,Mass Spectrometer,2014-07,L2-SR-RQ-3094,Seafloor/Crust
MASSPEC,Suite of Dissolved Gas Measurements (10-20 individual gases) vs. Time ,L1,uM and daltons,DCN 1341-00240,DCN 1342-00240,MASSP,Mass Spectrometer,2014-07,L2-SR-RQ-3094,Seafloor/Crust
MOMMFLX,Momentum Flux (Wind Stress) ,L2,N/m2,,,METBK,Meteorology bulk,2013-11,,
MOTFLUX,Platform Direction and Tilt (3 axes),L0,TBD,DCN 1341-00301,DCN 1342-00280,FDCHP,Flux direct covariance,2013-11,L2-SR-RQ-3025,Air-Sea Interface
NETLIRR ,Net Longwave Irradiance ,L2,W/m2,,,METBK,Meteorology bulk,2013-11,,
NETSIRR ,Net Shortwave Irradiance ,L2,W/m2,,,METBK,Meteorology bulk,2013-11,,
NITROPT,Nitrate Concentration,L1,µM,DCN 1341-00620,DCN 1342-00620,NUTNR,Nutrient nitrate,2013-11,L2-SR-RQ-3050,Water Column
OPTABSN,Optical Absorption Coefficient,L2,1/m,DCN 1341-00700,DCN 1342-00690,OPTAA,Attenuation absorption optical,2013-11,L2-SR-RQ-3926,Water Column
OPTAREF,Reference Absorption,L0,,1341-00700,1342-00690,OPTAA,Attenuation absorption optical,2013-11,,Water Column
OPTASIG,Signal Absorption,L0,,1341-00700,1342-00690 ,OPTAA,Attenuation absorption optical,2013-11,,Water Column
OPTATTN,Optical Beam Attenuation Coefficient,L2,1/m,DCN 1341-00690,DCN 1342-00690,OPTAA,Attenuation absorption optical,2013-11,L2-SR-RQ-3928,Water Column
OPTCREF,Reference Beam Attenuation,L0,unitless,"DCN 1341-00690, DCN 1341-00700",DCN 1342-00690,OPTAA,Attenuation absorption optical,2013-11,"L2-SR-RQ-3926, L2-SR-RQ-3928",Water Column
OPTCSIG,Signal Beam Attenuation,L0,unitless,"DCN 1341-00690, DCN 1341-00700",DCN 1342-00690,OPTAA,Attenuation absorption optical,2013-11,"L2-SR-RQ-3926, L2-SR-RQ-3928",Water Column
OPTPARW,Photosynthetically Active Radiation (400-700 nm),L0,"counts (Satl), volts (Bios)","DCN 1341-00720 (Satl), DCN 1341-00721 (Bios)",DCN 1342-00720,PARAD,PAR,2013-10,L2-SR-RQ-3670,Water Column
OPTPARW,Photosynthetically Active Radiation (400-700 nm),L1,µmol photons/m^2*s,"DCN 1341-00720 (Satl), DCN 1341-00721 (Bios)",DCN 1342-00720,PARAD,PAR,2013-10,L2-SR-RQ-3670,Water Column
OPTTEMP,Temperature from OPTAA,L0,degrees C,"DCN 1341-00690, DCN 1341-00700",DCN 1342-00690,OPTAA,Attenuation absorption optical,2013-11,"L2-SR-RQ-3926, L2-SR-RQ-3928",Water Column
PCO2ATM,Partial Pressure of CO2 in Atmosphere,L1,µatm,DCN 1341-00260,DCN 1342-00260,PCO2A,pCO2 air-sea,2013-11,L2-SR-RQ-3023,Air-Sea Interface
PCO2SSW,Partial Pressure of CO2 in Surface Sea Water,L1,µatm,DCN 1341-00260,DCN 1342-00260,PCO2A,pCO2 air-sea,2013-11,L2-SR-RQ-3023,Air-Sea Interface
PCO2WAT,Partial Pressure of CO2 in Water,L1,µatm,DCN 1341-00490,DCN 1342-00490,PCO2W,pCO2 water,2013-11,L2-SR-RQ-3049,Water Column
PH434SI,Optical Absorbance Signal Intensity at 434nm,L0,unitless,DCN 1341-00508,DCN 1342-00510,PHSEN,pH stable,2013-07-17,Derived from design to achieve PHWATER,Water Column
PH578SI,Optical Absorbance Signal Intensity at 578nm,L0,unitless,DCN 1341-00509,DCN 1342-00510,PHSEN,pH stable,2013-07-17,Derived from design to achieve PHWATER,Water Column
PHSSAMP,Physical Fluid Sample – Diffuse fluid chemistry,L2,No Direct Datastream to OOI,"DCN 1341-00640 (OSMOI), DCN 1341-00641 (RASFL)",n/a,OSMOI,Watersample chem trace,2014-07,L2-SR-RQ-3088,Seafloor/Crust
PHSSAMP,Physical Fluid Sample – Diffuse fluid chemistry,L2,No Direct Datastream to OOI,"DCN 1341-00640 (OSMOI), DCN 1341-00641 (RASFL)",n/a,RASFL,Watersample chem trace H2S pH,2014-07,L2-SR-RQ-3088,Seafloor/Crust
PHWATER,pH,L1,pH units,DCN 1341-00510,DCN 1342-00510,PHSEN,pH stable,2013-07-17,L2-SR-RQ-3047,Water Column
PRACSAL,Practical Salinity,L2,unitless,DCN 1341-00040,DCN 1342-00010,CTDAV,CTD AUV,2013-07-17,L2-SR-RQ-3064,Water Column
PRACSAL,Practical Salinity,L2,unitless,DCN 1341-00040,DCN 1342-00010,CTDBP,CTD Bottom Pumped,2013-07-17,L2-SR-RQ-3064,Water Column
PRACSAL,Practical Salinity,L2,unitless,DCN 1341-00040,DCN 1342-00010,CTDGV,CTD Glider,2013-07-17,L2-SR-RQ-3064,Water Column
PRACSAL,Practical Salinity,L2,unitless,DCN 1341-00040,DCN 1342-00010,CTDMO,CTD Mooring,2013-07-17,L2-SR-RQ-3064,Water Column
PRACSAL,Practical Salinity,L2,unitless,DCN 1341-00040,DCN 1342-00010,CTDPF,CTD Profiler,2013-07-17,L2-SR-RQ-3064,Water Column
PRECIPM,Precipitation,L1,mm,DCN 1341-00360,DCN 1342-00360,METBK,Meteorology bulk,2013-11,L2-SR-RQ-3024,"Air-Sea Interface, Surface Water"
PRESAIR,PCO2A Gas Stream Pressure,L0,mbar,DCN 1341-00260,DCN 1342-00260,PCO2A,pCO2 air-sea,2013-11,Derived from design to achieve PCO2AIR,Air-Sea Interface
PRESWAT,Pressure (Depth),L0,unitless,DCN 1341-00020,DCN 1342-00010,CTDAV,CTD AUV,2013-07-17,L2-SR-RQ-3046,Water Column
PRESWAT,Pressure (Depth),L0,unitless,DCN 1341-00020,DCN 1342-00010,CTDBP,CTD Bottom Pumped,2013-07-17,L2-SR-RQ-3046,Water Column
PRESWAT,Pressure (Depth),L0,unitless,DCN 1341-00020,DCN 1342-00010,CTDGV,CTD Glider,2013-07-17,L2-SR-RQ-3046,Water Column
PRESWAT,Pressure (Depth),L0,unitless,DCN 1341-00020,DCN 1342-00010,CTDMO,CTD Mooring,2013-07-17,L2-SR-RQ-3046,Water Column
PRESWAT,Pressure (Depth),L0,unitless,DCN 1341-00020,DCN 1342-00010,CTDPF,CTD Profiler,2013-07-17,L2-SR-RQ-3046,Water Column
PRESWAT,Pressure (Depth),L1,Pa,DCN 1341-00020,DCN 1342-00010,CTDAV,CTD AUV,2013-07-17,L2-SR-RQ-3046,Water Column
PRESWAT,Pressure (Depth),L1,Pa,DCN 1341-00020,DCN 1342-00010,CTDBP,CTD Bottom Pumped,2013-07-17,L2-SR-RQ-3046,Water Column
PRESWAT,Pressure (Depth),L1,Pa,DCN 1341-00020,DCN 1342-00010,CTDGV,CTD Glider,2013-07-17,L2-SR-RQ-3046,Water Column
PRESWAT,Pressure (Depth),L1,Pa,DCN 1341-00020,DCN 1342-00010,CTDMO,CTD Mooring,2013-07-17,L2-SR-RQ-3046,Water Column
PRESWAT,Pressure (Depth),L1,Pa,DCN 1341-00020,DCN 1342-00010,CTDPF,CTD Profiler,2013-07-17,L2-SR-RQ-3046,Water Column
RAINFLX,Rain Heat Flux,L2,W/m2,,,METBK,Meteorology bulk,2013-11,,
RAINRTE,Rain rate,L2,mm/hr,,,METBK,Meteorology bulk,2013-11,,
RELHUMI,Relative Humidity,L1,%,"DCN 1341-00280 (FDCHP), DCN 1341-00360 (METBK)","DCN 1342-00280 (FDCHP), DCN 1342-00360 (METBK)",METBK,Meteorology bulk,2013-11,L2-SR-RQ-3025,"Air-Sea Interface, Surface Water"
SALSURF,Sea Surface Salinity ,L2,unitless,,,METBK,Meteorology bulk,2013-11,,
SENSFLX ,Sensible Heat Flux ,L2,W/m2,,,METBK,Meteorology bulk,2013-11,,
SFLPRES,Seafloor Pressure,L0,Pa,"DCN 1341-00230 (PRESF), DCN 1341-00231 (PREST)","DCN 1342-00230 (PRESF), DCN 1342-00231 (PREST) ",PRESF,Pressure SF,2013-11,L2-SR-RQ-3083,Seafloor/Crust
SFLPRES,Seafloor Pressure,L0,Pa,"DCN 1341-00230 (PRESF), DCN 1341-00231 (PREST)","DCN 1342-00230 (PRESF), DCN 1342-00231 (PREST) ",PREST,Pressure SF tidal,2013-11,L2-SR-RQ-3083,Seafloor/Crust
SFLPRES,Seafloor Pressure,L1,Pa,"DCN 1341-00230 (PRESF), DCN 1341-00231 (PREST)","DCN 1342-00230 (PRESF), DCN 1342-00231 (PREST)",PRESF,Pressure SF,2013-11,L2-SR-RQ-3083,Seafloor/Crust
SFLPRES,Seafloor Pressure,L1,Pa,"DCN 1341-00230 (PRESF), DCN 1341-00231 (PREST)","DCN 1342-00230 (PRESF), DCN 1342-00231 (PREST)",PREST,Pressure SF tidal,2013-11,L2-SR-RQ-3083,Seafloor/Crust
SGRDVEL,Short Period Ground Velocity,L1,m/s,DCN 1341-00110,DCN 1342-00110,OBSSP,Seismometer shortperiod,2014-07,L2-SR-RQ-3100,Seafloor/Crust
SHRTIRR,Downwelling Shortwave Irradiance ,L1,W/m2,DCN 1341-00360,DCN 1342-00360,METBK,Meteorology bulk,2013-11,L2-SR-RQ-3022,"Air-Sea Interface, Surface Water"
SONBSCA,Multi-Frequency Acoustic Backscatter,L0,TBD,DCN 1341-00800,DCN 1342-00800,ZPLSC,Plankton ZP sonar coastal,2013-07-17,L2-SR-RQ-3054,Water Column
SONBSCA,Multi-Frequency Acoustic Backscatter,L0,TBD,DCN 1341-00800,DCN 1342-00800,ZPLSG,Plankton ZP sonar global,2013-07-17,L2-SR-RQ-3054,Water Column
SONBSCA,Multi-Frequency Acoustic Backscatter,L1,dB re 1(m^2 nmi^-2),DCN 1341-00800,DCN 1342-00800,ZPLSC,Plankton ZP sonar coastal,2013-07-17,L2-SR-RQ-3054,Water Column
SONBSCA,Multi-Frequency Acoustic Backscatter,L1,dB re 1(m^2 nmi^-2),DCN 1341-00800,DCN 1342-00800,ZPLSG,Plankton ZP sonar global,2013-07-17,L2-SR-RQ-3054,Water Column
SPECHUM,Specific Humidity,L2,%,DCN 1341-00370,DCN 1342-00360,METBK,Meteorology bulk,2013-11,L2-SR-RQ-3179 ,"Air-Sea Interface, Surface Water"
SPECTIR,Downwelling Spectral Irradiance ,L0,TBD,DCN 1341-00730,DCN 1342-00730,SPKIR,spectral irradiance,2013-11,L2-SR-RQ-3051,Water Column
SPECTIR,Downwelling Spectral Irradiance ,L1,µW*cm^-2*nm^-1,DCN 1341-00730,DCN 1342-00730,SPKIR,spectral irradiance,2013-11,L2-SR-RQ-3051,Water Column
SPHUM2M,Specific Humidity at 2 m,L2,%,,,METBK,Meteorology bulk,2013-11,,
TEMPA2M,Air Temperature at 2 m,L2,degrees C,,,METBK,Meteorology bulk,2013-11,,
TEMPAIR,Air Temperature,L1,degree C,DCN 1341-00360,DCN 1342-00360,METBK,Meteorology bulk,2013-11,L2-SR-RQ-3033,"Air-Sea Interface, Surface Water"
TEMPSFL,Temperature Array in Spatial Grid,L0,TBD,DCN 1341-00130,DCN 1342-00130,TMPSF,Temperature seafloor,2014-07,L2-SR-RQ-3101,Seafloor/Crust
TEMPSFL,Temperature Array in Spatial Grid,L1,C,DCN 1341-00130,DCN 1342-00130,TMPSF,Temperature seafloor,2014-07,L2-SR-RQ-3101,Seafloor/Crust
TEMPSRF,Sea Surface Temperature,L1,degree C,DCN 1341-00360,DCN 1342-00360,METBK,Meteorology bulk,2013-11,"L2-SR-RQ-3416, L2-SR-RQ-3708","Air-Sea Interface, Surface Water"
TEMPVNT,Vent Fluid Temperature from RASFL,L0,TBD,DCN 1341-00140,DCN 1342-00140,RASFL,Watersample chem trace H2S pH,2014-07,L2-SR-RQ-3408,Seafloor/Crust
TEMPVNT,Vent Fluid Temperature from RASFL,L1,degrees C,DCN 1341-00140,DCN 1342-00140,RASFL,Watersample chem trace H2S pH,2014-07,L2-SR-RQ-3408,Seafloor/Crust
TEMPWAT,Temperature,L0,unitless,DCN 1341-00010,DCN 1342-00010,CTDAV,CTD AUV,2013-07-17,L2-SR-RQ-3044,Water Column
TEMPWAT,Temperature,L0,unitless,DCN 1341-00010,DCN 1342-00010,CTDBP,CTD Bottom Pumped,2013-07-17,L2-SR-RQ-3044,Water Column
TEMPWAT,Temperature,L0,unitless,DCN 1341-00010,DCN 1342-00010,CTDGV,CTD Glider,2013-07-17,L2-SR-RQ-3044,Water Column
TEMPWAT,Temperature,L0,unitless,DCN 1341-00010,DCN 1342-00010,CTDMO,CTD Mooring,2013-07-17,L2-SR-RQ-3044,Water Column
TEMPWAT,Temperature,L0,unitless,DCN 1341-00010,DCN 1342-00010,CTDPF,CTD Profiler,2013-07-17,L2-SR-RQ-3044,Water Column
TEMPWAT,Temperature,L1,degrees C,DCN 1341-00010,DCN 1342-00010,CTDAV,CTD AUV,2013-07-17,L2-SR-RQ-3044,Water Column
TEMPWAT,Temperature,L1,degrees C,DCN 1341-00010,DCN 1342-00010,CTDBP,CTD Bottom Pumped,2013-07-17,L2-SR-RQ-3044,Water Column
TEMPWAT,Temperature,L1,degrees C,DCN 1341-00010,DCN 1342-00010,CTDGV,CTD Glider,2013-07-17,L2-SR-RQ-3044,Water Column
TEMPWAT,Temperature,L1,degrees C,DCN 1341-00010,DCN 1342-00010,CTDMO,CTD Mooring,2013-07-17,L2-SR-RQ-3044,Water Column
TEMPWAT,Temperature,L1,degrees C,DCN 1341-00010,DCN 1342-00010,CTDPF,CTD Profiler,2013-07-17,L2-SR-RQ-3044,Water Column
THSPHHC,Hydrogen Concentration,L0,V,DCN 1341-00210,DCN 1342-00120,THSPH,Temp H2 H2S pH,2014-07,L2-SR-RQ-3092,Seafloor/Crust
THSPHHC,Hydrogen Concentration,L2,Moles/kg,DCN 1341-00210,DCN 1342-00120,THSPH,Temp H2 H2S pH,2014-07,L2-SR-RQ-3092,Seafloor/Crust
THSPHHS,Hydrogen Sulfide Concentration,L0,V,DCN 1341-00200,DCN 1342-00120,THSPH,Temp H2 H2S pH,2014-07,L2-SR-RQ-3092,Seafloor/Crust
THSPHHS,Hydrogen Sulfide Concentration,L2,Moles/kg,DCN 1341-00200,DCN 1342-00120,THSPH,Temp H2 H2S pH,2014-07,L2-SR-RQ-3092,Seafloor/Crust
THSPHPH,pH,L0,V,DCN 1341-00190,DCN 1342-00120,THSPH,Temp H2 H2S pH,2014-07,L2-SR-RQ-3092,Seafloor/Crust
THSPHPH,pH,L2,pH units,DCN 1341-00190,DCN 1342-00120,THSPH,Temp H2 H2S pH,2014-07,L2-SR-RQ-3092,Seafloor/Crust
THSPHTE,Vent Fluid Temperature from THSPH,L0,V,DCN 1341-00120,DCN 1342-00120,THSPH,Temp H2 H2S pH,2014-07,L2-SR-RQ-3092,Seafloor/Crust
THSPHTE,Vent Fluid Temperature from THSPH,L1,degrees C,DCN 1341-00120,DCN 1342-00120,THSPH,Temp H2 H2S pH,2014-07,L2-SR-RQ-3092,Seafloor/Crust
TMPATUR,Turbulent Air Temperature,L0,TBD ,DCN 1341-00290,DCN 1342-00280,FDCHP,Flux direct covariance,2013-11,L2-SR-RQ-3894,Air-Sea Interface
TMPATUR,Turbulent Air Temperature,L1,degree C,DCN 1341-00290,DCN 1342-00280,FDCHP,Flux direct covariance,2013-11,L2-SR-RQ-3894,Air-Sea Interface
TRHPHCC,Vent Fluid Chloride Concentration,L2,µM,DCN 1341-00160,DCN 1342-00150,TRHPH,Temp resist,2014-07,L2-SR-RQ-3090,Seafloor/Crust
TRHPHEH,Vent Fluid Oxidation-Reduction Potential (ORP),L1,mV,DCN 1341-00170,DCN 1342-00150,TRHPH,Temp resist,2014-07,L2-SR-RQ-3090,Seafloor/Crust
TRHPHR1,Resistivity R1,L0,"Ohm, raw voltage",DCN 1341-00160,DCN 1342-00150,TRHPH,Temp resist,2014-07,L2-SR-RQ-3090,Seafloor/Crust
TRHPHR2,Resistivity R2,L0,"Ohm, raw voltage",DCN 1341-00160,DCN 1342-00150,TRHPH,Temp resist,2014-07,L2-SR-RQ-3090,Seafloor/Crust
TRHPHR3,Resistivity R3,L0,"Ohm, raw voltage",DCN 1341-00160,DCN 1342-00150,TRHPH,Temp resist,2014-07,L2-SR-RQ-3090,Seafloor/Crust
TRHPHTE,Vent Fluid Temperature from TRHPH,L1,C,DCN 1341-00150,DCN 1342-00150,TRHPH,Temp resist,2014-07,L2-SR-RQ-3090,Seafloor/Crust
TRHPHVC,Thermocouple Temperature,L0,V,DCN 1341-00150,DCN 1342-00150,TRHPH,Temp resist,2014-07,L2-SR-RQ-3090,Seafloor/Crust
TRHPHVO,ORP Volts,L0,V,DCN 1341-00170,DCN 1342-00150,TRHPH,Temp resist,2014-07,L2-SR-RQ-3090,Seafloor/Crust
TRHPHVS,Thermistor Temperature,L0,V,DCN 1341-00150,DCN 1342-00150,TRHPH,Temp resist,2014-07,L2-SR-RQ-3090,Seafloor/Crust
VELPROF,Velocity Profile,L0,mm/s,DCN 1341-00750,DCN 1342-00750,ADCPA,Velocity profile Mobile Asset,2013-07-17,L2-SR-RQ-3757,Water Column
VELPROF,Velocity Profile,L0,mm/s,DCN 1341-00750,DCN 1342-00750,ADCPS,Velocity profile Long Range,2013-07-17,L2-SR-RQ-3757,Water Column
VELPROF,Velocity Profile,L0,mm/s,DCN 1341-00750,DCN 1342-00750,ADCPT,Velocity profile Short Range,2013-07-17,L2-SR-RQ-3757,Water Column
VELPROF,Velocity Profile,L1,m/s,DCN 1341-00750,DCN 1342-00750,ADCPA,Velocity profile Mobile Asset,2013-07-17,L2-SR-RQ-3757,Water Column
VELPROF,Velocity Profile,L1,m/s,DCN 1341-00750,DCN 1342-00750,ADCPS,Velocity profile Long Range,2013-07-17,L2-SR-RQ-3757,Water Column
VELPROF,Velocity Profile,L1,m/s,DCN 1341-00750,DCN 1342-00750,ADCPT,Velocity profile Short Range,2013-07-17,L2-SR-RQ-3757,Water Column
VELPTMN,Mean Point Water Velocity,L0,,DCN 1341-00790,DCN 1342-00790,VEL3D,Velocity point 3D turb,2013-07-17, L2-SR-RQ-3085,Water Column
VELPTMN,Mean Point Water Velocity,L0,,DCN 1341-00790,DCN 1342-00790,VELPT,Velocity point,2013-07-17, L2-SR-RQ-3085,Water Column
VELPTMN,Mean Point Water Velocity,L1,m/s,DCN 1341-00790,DCN 1342-00790,VEL3D,Velocity point 3D turb,2013-07-17,L2-SR-RQ-3085,Water Column
VELPTMN,Mean Point Water Velocity,L1,m/s,DCN 1341-00790,DCN 1342-00790,VELPT,Velocity point,2013-07-17,L2-SR-RQ-3085,Water Column
VELPTTU,Turbulent Point Water Velocity,L0,"cm/s (Nobska), mm/s (Nortek)","DCN 1341-00781 (Nobska), DCN 1341-00780 (Nortek)",DCN 1342-00780,VEL3D,Velocity point 3D turb,2013-07-17,L2-SR-RQ-3058,"Water Column, Seafloor/Crust"
VELPTTU,Turbulent Point Water Velocity,L1,m/s,"DCN 1341-00781 (Nobska), DCN 1341-00780 (Nortek)",DCN 1342-00780,VEL3D,Velocity point 3D turb,2013-07-17,L2-SR-RQ-3058,"Water Column, Seafloor/Crust"
VELTURB,Turbulent Velocity Profile,L1,m/s,DCN 1341-00760,DCN 1342-00760,VADCP,Velocity profile 50m turb,2014-07,L2-SR-RQ-3060,Water Column
WAVSTAT,Wave Spectral Properties,L0,m; s; degrees; Hz; m^2 Hz^-1,DCN 1341-00450,DCN 1342-00450,ADCPT,Velocity profile Short Range,2013-11,L2-SR-RQ-3587,"Air-Sea Interface, Surface Water"
WAVSTAT,Wave Spectral Properties,L0,m; s; degrees; Hz; m^2 Hz^-1,DCN 1341-00450,DCN 1342-00450,WAVSS,Wave spectra surface,2013-11,L2-SR-RQ-3587,"Air-Sea Interface, Surface Water"
WAVSTAT,Wave Spectral Properties,L2,m; s; degrees; Hz; m^2 Hz^-1,DCN 1341-00450,DCN 1342-00450,ADCPT,Velocity profile Short Range,2013-11,L2-SR-RQ-3587,"Air-Sea Interface, Surface Water"
WAVSTAT,Wave Spectral Properties,L2,m; s; degrees; Hz; m^2 Hz^-1,DCN 1341-00450,DCN 1342-00450,WAVSS,Wave spectra surface,2013-11,L2-SR-RQ-3587,"Air-Sea Interface, Surface Water"
WIND10M,Wind Velocity at 10 m  ,L2,m/s,,,METBK,Meteorology bulk,2013-11,,
WINDAVG,Mean Wind Velocity,L0,m/s,DCN 1341-00360,DCN 1342-00360,METBK,Meteorology bulk,2013-11,L2-SR-RQ-3027,"Air-Sea Interface, Surface Water"
WINDAVG,Mean Wind Velocity,L1,m/s,DCN 1341-00360,DCN 1342-00360,METBK,Meteorology bulk,2013-11,L2-SR-RQ-3027,"Air-Sea Interface, Surface Water"
WINDTUR,Wind Velocity in 3 Dimensions,L0,TBD,DCN 1341-00310,DCN 1342-00280,FDCHP,Flux direct covariance,2013-11,L2-SR-RQ-3028,Air-Sea Interface
WINDTUR,Wind Velocity in 3 Dimensions,L1,m/s,DCN 1341-00310,DCN 1342-00280,FDCHP,Flux direct covariance,2013-11,L2-SR-RQ-3028,Air-Sea Interface
XCO2ATM,CO2 Mole Fraction in Atmosphere,L0,ppm,DCN 1341-00260,DCN 1342-00260,PCO2A,pCO2 air-sea,2013-11,Derived from design to achieve PCO2AIR,Air-Sea Interface
XCO2SSW,CO2 Mole Fraction in Surface Sea Water,L0,ppm,DCN 1341-00260,DCN 1342-00260,PCO2A,pCO2 air-sea,2013-11,Derived from design to achieve PCO2AIR,Air-Sea Interface



StartDate,EndDate,Status,IPAddress,Progress,Duration (in seconds),Finished,RecordedDate,ResponseId,RecipientLastName,RecipientFirstName,RecipientEmail,ExternalReference,LocationLatitude,LocationLongitude,DistributionChannel,UserLanguage,degree,requiredDegree,notRequiredWhy,gv207,gv207_3_TEXT,satisfiedGv207,challengedGv207,learnedGv207,issueFamiliar_1,issueFamiliar_2,issueFamiliar_3,issueFamiliar_4,issueFamiliar_5,issueFamiliar_6,issueFamiliar_7,issueFamiliar_8,appsFamiliar_1,appsFamiliar_2,appsFamiliar_3,appsFamiliar_4,appsFamiliar_5,pValue,spurriousCorr,dissTitle,dissData,materialUsed_1,materialUsed_2,materialUsed_3,materialUsed_4,materialUsed_5,materialUsed_6,materialUsed_7,materialUsed_8,materialUsed_9,materialUsed_10,officeHours
2019-10-02 07:52:21,2019-10-02 07:53:24,Survey Preview,,100,63,True,2019-10-02 07:53:24,R_307s5090vuVBiPk,,,,,51.5265960693359375,-0.013397216796875,preview,EN,adf,No,afdsfdas,Yes,,Moderately satisfied,Moderately challenging,A great deal,0 - Not at all,1,1,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,2,1,1,0 - Not at all,0 - Not at all,asdfaf,asdfafasdf,asdfadf,"Cross-sectional data,Non-linear regression,Causal inference methods (e.g. Instrumental variable regression, Regression discontinuity design, Difference-in-difference estimator,Laboratory experiments,Agent-based simulations",0 - Not at all,3,3,3,3,3,3,3,3,3,adf
2019-10-02 07:58:08,2019-10-02 08:09:43,IP Address,86.154.36.147,100,694,True,2019-10-02 08:09:43,R_3L1fXeaTkxTmKyY,,,,,51.4384002685546875,-0.0166015625,anonymous,EN,Economics and Politics,Yes,,Yes,,Moderately dissatisfied,Moderately challenging,A little,2,2,3,4,4,3,4,5-Very much,2,3,4,0 - Not at all,2,"Helps determine level of significance of results. ","Fast food causes obesity ",Economic analysis of cryptocurrencies,,4,2,4,4,0 - Not at all,0 - Not at all,5 - Very much,1,2,0 - Not at all,
2019-10-02 08:11:25,2019-10-02 08:16:43,IP Address,82.132.233.187,100,317,True,2019-10-02 08:16:43,R_2scZCZp86fMrYgP,,,,,51.49639892578125,-0.122406005859375,anonymous,EN,BA Politics,Yes,,Yes,,Moderately satisfied,Not challenging at all,A little,3,2,3,1,4,4,4,3,1,0 - Not at all,4,2,3,"the p value is the probability that something happened by chance and was not due to a relationship between two variables. it is often used with a significance level such as 0.05 to indicate that a relationship is significant ",a spurious corrolation is a corrolation where two things look to have a relationship but in fact dont.,"Constructivism and arab nationalism: an analysis of middle eastern identity politics ","Time-series/Longitudional data,Web-scraped data,Text analysis",3,2,4,4,3,0 - Not at all,4,1,0 - Not at all,2,sure its on the module outline
2019-10-02 08:59:34,2019-10-02 09:05:58,IP Address,151.16.47.207,100,384,True,2019-10-02 09:05:58,R_wN5AHgYn2k6KF9v,,,,,44.402801513671875,8.944793701171875,anonymous,EN,International Relations,No,I have previously taken the GV207 course and would like to have a q-step,Yes,,Extremely satisfied,Slightly challenging,A great deal,0 - Not at all,0 - Not at all,3,2,1,1,5-Very much,5-Very much,2,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,value of significance,,unknown,"Cross-sectional data,Time-series/Longitudional data,Causal inference methods (e.g. Instrumental variable regression, Regression discontinuity design, Difference-in-difference estimator",0 - Not at all,0 - Not at all,5 - Very much,5 - Very much,0 - Not at all,0 - Not at all,2,3,0 - Not at all,5 - Very much,thrusday form 11am to 1pm room 5.423
2019-10-02 11:06:12,2019-10-02 11:10:39,IP Address,85.255.232.156,100,266,True,2019-10-02 11:10:39,R_2dY2tHGmNSV5Taf,,,,,51.49639892578125,-0.122406005859375,anonymous,EN,"Politics ",No,"Developing Quantitative skills and using data ",Yes,,Moderately satisfied,Moderately challenging,A great deal,1,1,2,2,4,3,5-Very much,5-Very much,4,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,"Significance indicator ","Vaccinations causing autism ",N/A,,4,1,5 - Very much,5 - Very much,0 - Not at all,0 - Not at all,5 - Very much,1,0 - Not at all,0 - Not at all,-
2019-10-02 11:08:41,2019-10-02 11:13:20,IP Address,81.129.182.168,100,278,True,2019-10-02 11:13:20,R_3L59iJKYjOkNVQw,,,,,51.8827972412109375,1.0045928955078125,anonymous,EN," BA Modern History and Politics",Yes,,Yes,,Slightly satisfied,Moderately challenging,A moderate amount,3,4,3,3,4,3,3,3,3,2,2,2,3,It is the probability of correctly rejecting the null hypothesis,,Challenge Project,"Time-series/Longitudional data,Linear regression,Non-linear regression,Causal inference methods (e.g. Instrumental variable regression, Regression discontinuity design, Difference-in-difference estimator,Survey data,Web-scraped data,Text analysis",3,3,4,4,2,2,2,3,3,2,"Thursday 11 am - 1 pm, 5.423"
2019-10-02 14:34:05,2019-10-02 14:47:07,IP Address,217.41.63.56,100,781,True,2019-10-02 14:47:07,R_qFy8G6DhVlCDxU5,,,,,51.5666961669921875,-0.216705322265625,anonymous,EN,International relations,No,"Im interested in AQM pathway and skills I will gain from this course ",Yes,,Moderately satisfied,Very challenging,A moderate amount,0 - Not at all,0 - Not at all,1,1,3,3,1,3,0 - Not at all,0 - Not at all,2,0 - Not at all,0 - Not at all,"Determine the significance of the results of my hypothesis testing. ",,Not sure yet,"Cross-sectional data,Field experiments",5 - Very much,3,5 - Very much,4,1,0 - Not at all,3,1,0 - Not at all,0 - Not at all,I don’t know
2019-10-02 09:40:06,2019-10-04 03:40:14,IP Address,176.252.164.91,100,151208,True,2019-10-04 03:40:14,R_2vbGG88uY7tE7nH,,,,,52.045196533203125,1.12469482421875,anonymous,EN,International relations,No,Quantitative skills are really employable and great for research.,Yes,,Extremely satisfied,Very challenging,A lot,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,3,2,5-Very much,4,2,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,A p value is the % chance that the findings are chance based when the null hypothesis is true.,Margarine consumption being correlated to divorce in Maine,No clue but something to do with politics.,"Cross-sectional data,Time-series/Longitudional data,Panel data,Linear regression,Survey experiments,Survey data,Archival sources,Web-scraped data",2,2,4,4,3,0 - Not at all,4,5 - Very much,4,0 - Not at all,Thursday 11am-1pm
2019-10-04 10:11:29,2019-10-04 10:26:58,IP Address,94.11.226.126,100,928,True,2019-10-04 10:26:58,R_2wRoWPYR1ISx2vt,,,,,52.0417022705078125,1.1865997314453125,anonymous,EN,International Relations and Modern Languages,No,"I am interested in data analysis. I would like to develop my skills in R, statistical analysis, and even Stata (as mentioned in the e-mail). I want to pursue career opportunities in data analysis, or political risk management/consulting. ",Yes,,Moderately satisfied,Very challenging,A great deal,3,1,2,1,4,3,2,2,0 - Not at all,0 - Not at all,3,0 - Not at all,0 - Not at all,"a value between 0 and 1, if the p-value is less than 0.05 we can reject the null hypothesis",number of people murdered and raising temperature,GV832 Collaborative Research Project - Voter Turnout and Democratic Breakdown,"Cross-sectional data,Time-series/Longitudional data,Panel data,Linear regression,Non-linear regression",5 - Very much,1,5 - Very much,5 - Very much,3,0 - Not at all,5 - Very much,1,0 - Not at all,0 - Not at all,"Academic support hours Thursday 11am - 1pm, Location 5.423, Colchester Campus"
2019-10-06 03:17:29,2019-10-06 03:46:24,IP Address,5.151.215.96,100,1735,True,2019-10-06 03:46:24,R_331i4R04d9h7Q0k,,,,,51.9499969482421875,0.9167022705078125,anonymous,EN,Politics and International Relations,No,I felt as if this course would provide me with useful skills that will help me with further postgraduate study.,Yes,,Moderately satisfied,Moderately challenging,A lot,1,1,3,2,4,3,5-Very much,5-Very much,4,0 - Not at all,2,0 - Not at all,3,A p value is the level of statistical significance after performing a significance test,The lack of a brexit deal has had a negative a effect of Tottenham Hotspur’s performance level,A comparative assessment on China’s relationship with its Special administrative regions,"Cross-sectional data,Linear regression,Non-linear regression,Causal inference methods (e.g. Instrumental variable regression, Regression discontinuity design, Difference-in-difference estimator",5 - Very much,5 - Very much,5 - Very much,5 - Very much,3,2,4,3,2,0 - Not at all,Thursday 11am-1pm
2019-10-06 05:47:17,2019-10-06 06:06:20,IP Address,80.189.159.133,100,1142,True,2019-10-06 06:06:20,R_3knUY7OPoqtsHs6,,,,,51.8343048095703125,0.910797119140625,anonymous,EN,International relations,No,AQM pathway and GV207,Yes,,Moderately satisfied,Moderately challenging,A lot,0 - Not at all,0 - Not at all,3,2,5-Very much,4,3,5-Very much,3,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,"shows whether a relationship is statistically significant, its the probability of getting a statistical result if the null hypothesis is correct","when there are confounding variables influencing X and Y: higher ice cream sales goes hand in hand with higher number of people drowning in swimming pools (they don't cause each other, they are both just a result of hot weather)","the title is not set yet, I will work with Dr. Lown on sustainable purchasing behaviour","Survey experiments,Field experiments,Laboratory experiments",2,0 - Not at all,5 - Very much,5 - Very much,0 - Not at all,0 - Not at all,5 - Very much,5 - Very much,5 - Very much,0 - Not at all," Thursday 11am - 1pm, 5.423"
2019-10-06 06:19:01,2019-10-06 06:23:52,IP Address,31.205.89.118,100,291,True,2019-10-06 06:23:53,R_12R93SKSPj8J7dq,,,,,51.8372955322265625,0.8173980712890625,anonymous,EN,"Philosophy, politics and Economics ",No,"Good Skills for Employment ",Yes,,Extremely satisfied,Extremely challenging,A great deal,0 - Not at all,0 - Not at all,2,3,4,4,5-Very much,5-Very much,5-Very much,4,0 - Not at all,0 - Not at all,0 - Not at all,"Shows if there is a significant relationship ","number of people with red hair correlates with number of people who go to spain ",i dont have one,"Cross-sectional data,Time-series/Longitudional data,Linear regression,Causal inference methods (e.g. Instrumental variable regression, Regression discontinuity design, Difference-in-difference estimator,Survey experiments,Field experiments,Survey data",4,2,5 - Very much,5 - Very much,1,0 - Not at all,4,3,0 - Not at all,0 - Not at all,"not sure "
2019-10-06 15:54:32,2019-10-06 16:17:51,IP Address,82.30.109.230,100,1398,True,2019-10-06 16:17:51,R_eRlH0WZNZODAXzH,,,,,51.8892059326171875,0.904205322265625,anonymous,EN,BA International relations,No,"I enjoyed previous compulsory statistical modules.  ",Yes,,Moderately satisfied,Very challenging,A lot,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,4,2,5-Very much,0 - Not at all,5-Very much,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,"How significant the relationship is. ","When it seems there is a relationship, but we find there is none - caused by a third factor. ","Successful integration of Central-Eastern European countries and European Union ",Time-series/Longitudional data,3,2,4,3,0 - Not at all,0 - Not at all,1,5 - Very much,1,0 - Not at all,
2019-10-06 17:17:26,2019-10-06 17:21:10,IP Address,31.205.89.72,100,223,True,2019-10-06 17:21:10,R_1FkvFYNFCvwSADn,,,,,51.8372955322265625,0.8173980712890625,anonymous,EN,Economics and Politics,Yes,,Yes,,Slightly dissatisfied,Very challenging,A moderate amount,0 - Not at all,0 - Not at all,3,3,1,1,1,2,1,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,"Probability of a null hypothesis ",Not sure,TBD,"Survey data,Archival sources,Web-scraped data,Text analysis",3,1,5 - Very much,3,1,0 - Not at all,2,0 - Not at all,0 - Not at all,0 - Not at all,
2019-10-07 05:20:53,2019-10-07 05:27:29,IP Address,86.11.250.251,100,395,True,2019-10-07 05:27:29,R_1ovy17KqRGKE5Mt,,,,,51.8892059326171875,0.904205322265625,anonymous,EN,International Relations,Yes,,Yes,,Extremely satisfied,Moderately challenging,A great deal,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,2,2,5-Very much,4,5-Very much,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,"the value which determines whether as result is statistically significant, must be below 0.05 to be significant in a two tailed test",as birth rate increases so does the number of people buying nicer cars- just because there is correlation does not mean there is any causation,Undecided,"Cross-sectional data,Time-series/Longitudional data,Panel data,Linear regression,Non-linear regression,Causal inference methods (e.g. Instrumental variable regression, Regression discontinuity design, Difference-in-difference estimator,Survey experiments,Laboratory experiments,Survey data",3,3,4,5 - Very much,1,1,1,2,0 - Not at all,0 - Not at all,unsure
2019-10-07 05:25:23,2019-10-07 05:45:44,IP Address,2.30.93.213,100,1221,True,2019-10-07 05:45:44,R_WdqzJWvG06YK3It,,,,,51.8892059326171875,0.904205322265625,anonymous,EN,International Relations BA (Hons) (IYA),No,AQM qualification pathway,Yes,,Slightly satisfied,Very challenging,A moderate amount,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,2,0 - Not at all,4,2,0 - Not at all,0 - Not at all,2,0 - Not at all,0 - Not at all,"Calculated probability that if a given H0 is true, one can still observe results equal to or more extreme than H1.  ","The famous example on eating chocolate correlated with being smart, or the one with ice cream consumption and murder rates. ","The 2018 Mexican Presidential Election ","Linear regression,Survey data",5 - Very much,1,5 - Very much,0 - Not at all,0 - Not at all,0 - Not at all,2,2,2,0 - Not at all,
2019-10-07 08:33:18,2019-10-07 08:49:36,IP Address,155.245.155.215,100,977,True,2019-10-07 08:49:36,R_1gdNGvfkVMPzFGM,,,,,51.9499969482421875,0.9167022705078125,anonymous,EN,IR,No,"Job leverage and friend recommendations ",Yes,,Slightly satisfied,Very challenging,A little,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,2,2,3,4,0 - Not at all,0 - Not at all,2,0 - Not at all,0 - Not at all,"the value used to indicate if the null hypothesis is true, if this value is >0.05, the hypothesis should be discarded","ice cream sales and shark attacks are positively associated. I really hate to use this, but just for the sake of this survey... lol","Globalization of a place (continent; country; city etc) and the spread of feminism in this place, the hypothesis is a positive correlation","Cross-sectional data,Time-series/Longitudional data,Panel data,Linear regression,Non-linear regression,Survey data,Archival sources",4,2,5 - Very much,5 - Very much,1,3,4,5 - Very much,1,0 - Not at all,available on moodle

Timestamp,Alias,What is your Major?,"Please, tell me about yourself. What interest you? Do you have any hobbies?",How would you rate your Information Visualization skills?,How would you rate your statistical skills?,How would you rate your mathematics skills?,How would you rate your drawing and artistic skills?,How would you rate your computer usage skills?,How would you rate your programming skills?,How would you rate your computer graphics programming skills?,How would you rate your human-computer interaction programming skills?,How would you rate your user experience evaluation skills?,How would you rate your communication skills?,How would you rate your collaboration skills?,How would you rate your code repository skills?
1/14/2020 12:48:24,Hannah Abbott ,Graphic Design,"Friendly and approachable. Have an easy time for understanding smaller details. Game Design have been my specific interest for the last few years, have done a bit of game dev myself. My main hobbies (outside of game dev) at the moment are acting and dancing.",4,3,3,4,10,4,6,4,3,6,10,6
1/14/2020 17:07:56,Ludo Bagman ,Information and Network Engineering (mention in Multimedia Analysis),"My main general interest is music. Recently I have been reading a book with a lot of data representations and it reminded me that data visualization is something I would like to learn more about (also because I like design). My main technical interest is multimedia processing because I like applied maths and multimedia analysis (originally I started my bachelor because of audio, but now I actually prefer image).",4,8,6,4,7,6,4,4,1,10,5,9
1/14/2020 21:09:58,Bathilda Bagshot ,"Computer Science, Human-Computer Interaction, Media Technology","Travel, admire landscapes, photography, understand mass and companies market choices (e.g. The real reasons why Instagram hides ""likes"" number on its app, thy people love a certain brand and what it gives to them), UI design, understand user needs and experience, slow reading, free climbing, play electric bass guitar, manage a summer camp and be involved as an entertainer.",3,2,3,4,8,6,1,4,3,6,10,5
1/15/2020 10:54:13,Katie Bell ,Computer Science,"I've been a software developer for about 12 years, and I'm looking to make a career change into more research related work. I am also a martial artist and an (almost) certified martial arts instructor, and a mediocre bass and guitar player.",8,3,6,6,8,10,5,5,4,4,4,8
1/15/2020 13:28:41,Cuthbert Binns,Computer Science,"Gaming, Reddit, Instagram, CrossFit",6,5,6,4,9,8,8,6,4,7,7,8
1/15/2020 15:44:03,Phineas Nigellus Black,Media Technology,"Movies, music, gym (going to the supermarket) ",3,5,6,1,7,7,1,3,4,7,8,2
1/15/2020 16:46:55,Sirius Black,Media Technology,"Movies, games, cooking",2,3,5,4,7,4,1,2,3,5,5,3
1/15/2020 17:04:14,Amelia Bones ,"Human-Computer Interaction, Media Technology","I love playing computer games my favorite game is Cities skyline, close followed by Dota 2. I love UX-design, and smart solutions within the design. I wish I was the one who invented the green button on the phone when you want to call some one. I have worked mostly with web pages and apps. I also work part time for the Sas Scandinavian Airlines were I help them gater and present data from there big database in a way that makes sense and can easily be understood and I love it. My main tool at work is power bi, sql and excel",5,3,7,2,9,4,1,3,4,9,7,7
1/15/2020 17:12:57,Susan Bones ,Media Technology,"Sports, stock, software development, business",3,4,4,5,9,6,3,5,4,7,8,5
1/15/2020 17:14:24,Terry Boot,Computer Science,Game development,1,3,5,7,9,6,1,4,3,7,8,8
1/15/2020 17:27:37,Lavender Brown,"Human-Computer Interaction, Media Technology","I like to program in general, especially front end. On my spare time I go to the gym and hang with friends. ",2,2,4,5,5,5,1,3,2,7,8,3
1/15/2020 17:30:22,Millicent Bulstrode,Media Technology,"My main interest is music, as a hobby I regularly play with a swing orchestra. I'm also interested in how far technology can reach in making people interact with it and how people can interact among themselves using technology, hence my decisione to join a interactive technology related faculty.",3,1,6,5,5,2,4,3,4,6,4,1
1/15/2020 17:31:19,Charity Burbage,Media Technology,"I like painting with oil and acrylics. I work as an app developer but Will finish my masters anyway. The app I am working with is mostly about visualising data, with d3 for instance. Looking forward to become better at it",5,3,4,8,8,7,1,4,4,7,8,8
1/15/2020 17:37:47,Frank Bryce,"Human-Computer Interaction, Media Technology",I like programming especially front-end! ,2,2,4,1,5,5,1,3,3,8,8,2
1/15/2020 17:43:44,Alecto Carrow,Computer Science,"Game development, figure skating, playing games",4,5,8,4,9,7,5,4,3,9,4,7
1/15/2020 17:45:59,Amycus Carrow,Computer Science,"I like art, painting, drawing and work with Photoshop in my spare time. I want to learn more programming, especially JavaScript at the moment. ",5,1,5,9,9,5,5,5,5,10,10,5
1/15/2020 17:49:32,Reginald Cattermole,Human-Computer Interaction,My interests are design(in all forms and shapes) and dancing :),2,4,5,7,10,7,6,6,8,10,10,5
1/15/2020 18:27:24,Mary Cattermole ,Computer Science,"I like programming, especially web programming. I am also into sports and nutrition.",2,2,4,1,6,5,1,4,2,10,7,9
1/15/2020 18:45:35,Cho Chang ,Media Technology,"Photography, kick-boxing, craft beer:)",4,2,5,1,7,5,5,5,3,8,8,6
1/15/2020 19:25:14,Penelope Clearwater ,Media Technology,I like to analyse data and present them in visually interesting ways. I read books and news articles. ,2,4,2,4,5,5,2,2,4,8,5,3
1/16/2020 10:53:16,Michael Corner,"Human-Computer Interaction, Media Technology","I love to work out, eat good food and skiing, among other things. I'm mostly interested in design at a higher level, service- and concept design in relation to sustainability. ",2,6,5,7,4,1,1,2,8,10,9,7
1/16/2020 10:59:45,Vincent Crabbe,"Human-Computer Interaction, Graphic Design",Fitness / Hiking / Guitar,3,3,7,3,7,3,1,3,1,7,10,6
1/16/2020 12:28:31,Colin Creevey,"Mathematics, Statistics",I am super interested in data and how it can be used to find underlying trends and patterns. I am also interested in environmental issues and equality questions. When it comes to hobbies I enjoy hiking and adventures in nature as well as traveling and taking care of my plants. Food is also a huge interest for me.,4,7,7,6,7,5,2,2,3,9,9,2
1/16/2020 14:15:24,Fleur Delacour ,Computer Science,Interested in making computer games.,2,7,7,9,9,8,4,9,8,9,9,9
1/16/2020 14:21:15,Amos Diggory,Visual Computing,"movies & tv, travelling, geography, science, art",6,5,6,1,7,7,8,7,9,9,6,7
1/16/2020 15:19:18,Albus Dumbledore,Media Technology,"My main interests outside of school are cooking, music (consuming, I'm not talented enough to create), and reading. I occasionally play video games or exercise, but they're not really ""passions""",5,8,8,1,7,5,1,5,7,9,8,8
1/16/2020 15:36:07,Seamus Finnigan,Computer Science,"I'm interested in pretty much everything relating to the brain, cognition, and consciousness: neuroscience, philosophy, psychology, information technology. I spend most of my free time on nurturing these interests. I also like to listen to a lot of music (mostly hip hop) and sometimes play the piano.",3,3,7,3,8,7,2,4,2,8,7,6
1/16/2020 15:41:57,Marcus Flint,Media Technology,"From a career perspective, I am interested in UX design and frontend development. Art is a hobby. ",2,2,5,8,6,4,1,3,2,10,6,6
1/16/2020 15:43:19,Filius Flitwick ,Computer Science,,5,7,7,6,8,8,5,7,7,9,9,9
1/16/2020 16:20:08,Cornelius Fudge,Computer Science,I like machine learning and programming. I am interested in being active and powerlifting. ,1,8,4,3,8,7,3,1,1,4,5,7
1/16/2020 16:53:39,Gellert Grindelwald ,Media Technology,"I like to create stuff. It’s the process and problem solving that I find interesting. Medium, tools or purpose doesn't really matter.",3,2,4,8,7,3,1,3,3,3,4,5
1/16/2020 23:04:05,Godric Gryffindor ,Media Technology,,2,3,5,6,10,5,3,2,7,7,3,2
1/17/2020 11:08:25,Rubeus Hagrid ,"Computer Science, Transport Science/Systems","Urban mobility, spatio-temporal clustering, visualization, family",6,7,6,6,6,7,4,4,2,4,4,3
1/17/2020 11:13:15,Rolanda Hooch ,Computer Science,"My hobbies include: playing  music: both guitar and piano, anime, videogames. ",5,4,5,5,6,6,2,4,6,10,8,9
1/17/2020 14:04:37,Helga Hufflepuff,Media Technology,"I am interested in music and play the piano, guitar, bass and sing. I have now started to translate this to media technology by learning about sound and music interaction through technology. I'm also a smart home enthusiast and have started to make my home smart, starting with lights and switches. ",4,5,6,3,7,6,2,6,5,8,8,7
1/17/2020 14:06:20,Hermione Granger,Media Technology,Music and sound production,2,5,5,1,7,4,2,5,8,7,9,5
1/17/2020 15:24:36,Igor Karkaroff ,Computer Science,"New topics interest me. Before I began studying Design I studied Computer Science; before that I studied Latin and Classical Civilizations. My favorite hobby is to find new hobbies - I have done a plethora of things including piano, archery, magic, massage, and dance.",1,2,5,6,8,6,1,1,4,9,10,6
1/17/2020 17:35:59,Viktor Krum,Media Technology,Front end developing and web design ,6,4,5,6,6,7,4,4,6,7,6,7
1/17/2020 17:55:51,Silvanus Kettleburn ,"Media Technology, ICT","Music, Art, Animals, Human rights, Environmental issues",4,3,4,5,5,4,2,2,5,10,6,6
1/17/2020 19:09:44,Bellatrix Lestrange,Human-Computer Interaction,"I will be attracted by some creative ideas. I'm always searching for the newest, most interesting and unique products. I'm curious about the world and want to experience a lot of things in my life, such as parachute jumping and some other exciting sports.",5,5,7,6,8,2,2,3,4,7,8,7
1/17/2020 23:04:23,Neville Longbottom,Media Technology,I like hanging out with friend and perhaps do some activity of some sort or play video games is a lot of fun. I also have a dog which includes long walks which I think is very nice. ,3,4,5,5,6,5,5,5,4,7,7,3
1/18/2020 0:28:48,Xenophilius Lovegood ,Media Technology,"I interested in music and something looks funny. I love singing, doing some sports and traveling.",4,3,7,5,8,8,2,4,5,9,7,5
1/18/2020 13:04:08,Remus Lupin,Media Technology,"art, climbing, creative realization of hci",3,1,4,6,9,6,4,8,7,3,6,5
1/18/2020 15:11:33,Draco Malfoy,Media Technology,"Basketball, Formula 1, travelling, photography, reading, JRR Tolkien",8,3,5,5,8,7,5,6,6,10,8,8
1/18/2020 17:33:00,Ernie Macmillan,Human-Computer Interaction,"I am passionate about technology and self improvement. I meditate regularly.
In my free time I work out (gym and calisthenics), go running. I also enjoy reading.",3,4,1,1,10,10,2,1,8,5,8,9
1/19/2020 11:14:40,Minerva McGonagall,Media Technology,"Photography and design (interior, clothing, digital)",7,3,4,8,8,6,4,7,8,9,9,9
1/19/2020 12:22:38,Cormac McLaggen,Media Technology,"Music, movies, design, audio",2,5,3,3,3,2,1,1,7,7,8,4
1/19/2020 12:43:56,Graham Montague,"Graphic Design, Product Design","photography, videography, technology, science, arts, music, analog photography, basket, football, books, computers, make things ",3,4,6,8,8,2,1,3,7,9,10,3
1/19/2020 15:16:26,Theodore Nott,Computer Science,"Computer games, music, snowboarding, nature, and more.",4,5,5,8,8,6,4,4,3,6,7,9
1/19/2020 16:16:48,Garrick Ollivander ,Media Technology,"I'm interested in how we can use technology in order to live more environmentally sustainable. My non-study related hobbies are cooking, reading, and spinning. ",1,4,6,3,8,5,1,2,7,9,9,7
1/19/2020 16:25:18,Pansy Parkinson,Media Technology,"Videogames, boardgames, training, volleyball, painting, editing ",8,8,7,7,9,8,8,6,6,8,9,6
1/19/2020 16:57:12,Peter Pettigrew ,Media Technology,"I would say my largest interest/hobby is movies, both new and old. Other than that I am also interested in plants and trying new things with my friends. ",4,5,6,2,6,3,3,3,8,10,8,4
1/19/2020 17:09:07,Antioch Peverell,Media Technology,"* I'm studying my forth year at KTH
* I have chosen the route of sustainable media technology in my bachelors
* therefore been exposed more to humanities- than programming oriented courses
* Deeply interested in Sustainability issues
* interested in how to communicate data on sustainability efficiently",1,3,3,5,4,1,1,1,6,8,7,3
1/19/2020 17:28:43,Irma Pince,Media Technology,"Cats, TV series",4,8,5,10,9,3,1,3,7,6,8,1
1/19/2020 18:20:03,Sturgis Podmore ,Media Technology,"In terms of possible professional areas, I'm interested in news communication/reporting, free speech issues, language, streaming services, assistive technologies and most things relating to food.
In my spare time, I browse various Youtube content, play video games, listen to music (preferring progressive, psychedelic and folk rock) and hunt down the best grocery bargains.",2,2,3,3,4,1,1,2,3,7,7,2
1/19/2020 20:05:46,Poppy Pomfrey ,Computer Science,"Creating stuff, listening to music, and dancing.",5,4,5,3,7,7,3,4,4,8,8,3
1/19/2020 20:16:04,Harry Potter ,Media Technology,,4,3,7,2,8,2,3,3,3,3,8,2
1/19/2020 21:44:50,James Potter ,Human-Computer Interaction,"I'm an exchange student from the Eindhoven University of Technology. I'm enrolled in the master program called HTI - Human Technology Interaction. I'm driven by shaping innovative designs so that they could solve currently existing, or future problems for society. My hobbies are skiing, windsurfing, and drawing.",4,8,3,8,5,1,3,4,8,7,7,2
1/19/2020 22:13:53,Lily Potter,Media Technology,"Music, Fashion, Sports",4,6,5,6,6,3,4,4,7,8,9,2
1/19/2020 22:20:37,Quirinus Quirrell,Computer Science,"Photography, computer games, game development",6,2,7,8,9,7,7,7,3,7,7,6
1/19/2020 22:41:14,Helena Ravenclaw,Computer Science,,7,7,8,8,7,5,5,6,6,7,5,5
1/19/2020 22:51:57,Rowena Ravenclaw,Computer Science,"I like listening to music and DJing. Movies, TV-shows, football (soccer) interest me.",6,3,4,5,8,6,2,6,6,7,3,5
1/19/2020 23:04:26,Tom Marvolo Riddle,Media Technology,"23 years old from Sweden, lived in Portugal for a year working with marketing. My hobbies include beauty and ice hockey. I am interested in developing my programming skills.",3,3,5,5,8,5,2,3,5,10,10,5
1/19/2020 23:57:31,Demelza Robins ,Computer Science,"Every lesson of computer science attracted my attention. I have many hobbies like running, , traveling, professional photography, watching movies and TV series, reading books, recording music, playing guitar etc.",3,6,6,4,10,7,5,5,5,8,9,8

"DataType","WorkflowType","Group","Key","Value"
"Questions","ECMMon","Which seed model to use","TypePattern","_String"
"Questions","ECMMon","Which seed model to use","Threshold",0.35
"Questions","ECMMon","Which seed model to use","Parameter","model"
"Questions","ECMMon","Which seed model to use","ContextWordsToRemove","{""base"", ""model"", ""seed"", ""simulate"", ""simulation""}"
"Questions","ECMMon","Which base model to use","TypePattern","_String"
"Questions","ECMMon","Which base model to use","Threshold",0.35
"Questions","ECMMon","Which base model to use","Parameter","model"
"Questions","ECMMon","Which base model to use","ContextWordsToRemove","{""base"", ""model"", ""seed"", ""simulate"", ""simulation""}"
"Questions","ECMMon","How many simulation days","TypePattern","_Integer"
"Questions","ECMMon","How many simulation days","Threshold",0.35
"Questions","ECMMon","How many simulation days","Parameter","ndays"
"Questions","ECMMon","How many simulation days","ContextWordsToRemove","{""days"", ""many"", ""number"", ""simulate"", ""simulation""}"
"Questions","ECMMon","How many days","TypePattern","_Integer"
"Questions","ECMMon","How many days","Threshold",0.35
"Questions","ECMMon","How many days","Parameter","ndays"
"Questions","ECMMon","How many days","ContextWordsToRemove","{""days"", ""many"", ""number""}"
"Questions","ECMMon","What number of days","TypePattern","_Integer"
"Questions","ECMMon","What number of days","Threshold",0.35
"Questions","ECMMon","What number of days","Parameter","ndays"
"Questions","ECMMon","What number of days","ContextWordsToRemove","{""days"", ""many"", ""number""}"
"Questions","ECMMon","What is the contact rate","TypePattern","_?NumberQ"
"Questions","ECMMon","What is the contact rate","Threshold",0.35
"Questions","ECMMon","What is the contact rate","Parameter","contactRate"
"Questions","ECMMon","What is the contact rate","ContextWordsToRemove","{""contact"", ""rate""}"
"Templates","ECMMon","Python","Template","TemplateObject[{""\nobj = ECMMonUnit( model = "", TemplateSlot[""model""], ""Model())\nobj = ECMMonAssignInitialConditions( ecmObj = obj, initConds = [SPt = 100000])\nobj = ECMMonAssignInitialConditions( ecmObj = obj, initConds = [INSPt = 0])\nobj = ECMMonAssignInitialConditions( ecmObj = obj, initConds = [ISSPt = 1])\nobj = ECMMonAssignRateValues( ecmObj = obj, rateValues = [contactRateINSP = "", TemplateSlot[""contactRate""], ""])\nobj = ECMMonAssignRateValues( ecmObj = obj, rateValues = [contactRateISSP = "", TemplateSlot[""contactRate""], ""])\nobj = ECMMonSimulate( ecmObj = obj, maxTime = "", TemplateSlot[""ndays""], "")\nprint(obj)\nobj = ECMMonPlotSolutions( ecmObj = obj, stocksSpec = \"".*Population\"")""}, CombinerFunction -> StringJoin, InsertionFunction -> TextString]"
"Templates","ECMMon","R","Template","TemplateObject[{""ecmObj <- ECMMonUnit( model = "", TemplateSlot[""model""], ""Model()) %>%\nECMMonAssignInitialConditions( initConds = c(SPt = 100000) ) %>%\nECMMonAssignInitialConditions( initConds = c(INSPt = 0) ) %>%\nECMMonAssignInitialConditions( initConds = c(ISSPt = 1) ) %>%\nECMMonAssignRateValues( rateValues = c(contactRateINSP = "", TemplateSlot[""contactRate""], "") ) %>%\nECMMonAssignRateValues( rateValues = c(contactRateISSP = "", TemplateSlot[""contactRate""], "") ) %>%\nECMMonSimulate(maxTime = "", TemplateSlot[""ndays""], "") %>%\nECMMonEchoValue() %>%\nECMMonPlotSolutions( stocksSpec = \"".*Population\"")""}, CombinerFunction -> StringJoin, InsertionFunction -> TextString]"
"Templates","ECMMon","WL","Template","TemplateObject[{""ecmObj = ECMMonUnit["", TemplateSlot[""model""], ""Model[t]]⟹\nECMMonAssignInitialConditions[<|SP[0] -> 100000|>]⟹\nECMMonAssignInitialConditions[<|INSP[0] -> 0|>]⟹\nECMMonAssignInitialConditions[<|ISSP[0] -> 1|>]⟹\nECMMonAssignRateRules[<|β[INSP] -> "", TemplateSlot[""contactRate""], ""|>]⟹\nECMMonAssignRateRules[<|β[ISSP] -> "", TemplateSlot[""contactRate""], ""|>]⟹\nECMMonSimulate[\""MaxTime\"" -> "", TemplateSlot[""ndays""], ""]⟹\nECMMonEchoValue[]⟹\nECMMonPlotSolutions[ \""Stocks\"" -> __ ~~ \""Population\""];""}, CombinerFunction -> StringJoin, InsertionFunction -> TextString]"
"Defaults","ECMMon","All","model","SEI2R"
"Defaults","ECMMon","All","ndays",12
"Defaults","ECMMon","All","contacRate","0.8"
"Shortcuts","ECMMon","All","ECMMon","ECMMon"
"Shortcuts","ECMMon","All","EpidemiologicModeling","ECMMon"
"Shortcuts","ECMMon","All","EpidemiologyModeling","ECMMon"


Namespace,Type,Method,LOC,CC,PC
AsyncFunctions,ArrayResizer,Resize,4,1,1
AsyncFunctions,ArrayResizer,Resize,18,3,2
AsyncFunctions,ArrayResizer,EnqueueResize,4,1,3
AsyncFunctions,ArrayResizer,DoResizing,6,2,0
AsyncFunctions,ArrayResizer,DoResize,56,4,1
AsyncFunctions,ArrayResizerTest,MakeArray,11,3,2
AsyncFunctions,ArrayResizerTest,MakeArrayAndResize,5,1,2
AsyncFunctions,AsyncTestAddIn,AutoOpen,3,1,0
AsyncFunctions,AsyncTestAddIn,AutoClose,2,1,0
AsyncFunctions,MyFunctions,WhatTimeIsIt,3,1,0
AsyncFunctions,MyFunctions,WhatTimeIsItEx,3,1,1
AsyncFunctions,RxTest,rxReturn,4,1,1
AsyncFunctions,RxTest,rxEmpty,4,1,0
AsyncFunctions,RxTest,rxNever,4,1,0
AsyncFunctions,RxTest,rxThrow,4,1,0
AsyncFunctions,RxTest,rxCreateTimer,12,1,1
AsyncFunctions,RxTest,rxInterval,4,1,1
AsyncFunctions,RxTest,rxTimerWaitInterval,4,1,1
AsyncFunctions,RxTest,rxTimerWaitUntil,4,1,1
AsyncFunctions,RxTest,rxCreateValues,9,1,0
AsyncFunctions,RxTest,rxCreateValuesPerCaller,10,1,1
AsyncFunctions,RxTest,rxCreateArrays,19,2,0
AsyncFunctions,RxTest,Transpose,8,2,1
AsyncFunctions,RxTest,TestObservable,13,1,2
AsyncFunctions,SyncContext,asyncTestSyncContext,21,1,0
AsyncFunctions,ExcelSynchronizationContextInstaller,ExcelSynchronizationContextInstaller,4,1,0
AsyncFunctions,ExcelSynchronizationContextInstaller,Dispose,3,1,0
MyRTDServers,TimeServer,TimeServer,11,1,0
MyRTDServers,TimeServer,Log,3,1,2
MyRTDServers,TimeServer,GetTopicId,5,1,1
MyRTDServers,TimeServer,ServerStart,4,1,0
MyRTDServers,TimeServer,ServerTerminate,3,1,0
MyRTDServers,TimeServer,ConnectData,4,1,3
MyRTDServers,TimeServer,DisconnectData,3,1,1
AsyncTest,AsyncRun,HelloFromAsyncFunctions,3,1,0
AsyncTest,AsyncRun,Sleep,14,2,1
AsyncTest,AsyncRun,DownloadAsyncArray,15,1,1
AsyncTest,AsyncRun,DownloadAsync,5,1,1
AsyncTest,AsyncRun,WebSnippetAsync,13,1,2
AsyncTest,AsyncRun,Download,3,1,1
AsyncTest,AsyncRun,DownloadAsyncTask,3,1,1
AsyncTest,AsyncRun,DownloadAsyncFail,7,1,1
MarketDataForExcel,YahooFinance,GetFxRateFromYahooAsync,4,1,2
MarketDataForExcel,YahooFinance,GetHistoricalDataFromYahooAsync,5,1,3
MarketDataForExcel,YahooFinance,GetFxRateFromYahoo,43,6,2
MarketDataForExcel,YahooFinance,GetHistoricalDataFromYahoo,44,5,3
System.Threading.Tasks,EAPCommon,HandleCompletion,13,4,4
ExcelDna.Integration.RxExcel,RxExcel,ToExcelObservable,3,1,1
ExcelDna.Integration.RxExcel,RxExcel,Observe,3,1,3
ExcelDna.Integration.RxExcel,RxExcel,Observe,3,1,3
ExcelDna.Integration.RxExcel,RxExcel,Observe,3,1,3
ExcelDna.Integration.RxExcel,RxExcel,Observe,3,1,3
ExcelDna.Integration.RxExcel,ExcelObservable<T>,ExcelObservable,3,1,1
ExcelDna.Integration.RxExcel,ExcelObservable<T>,Subscribe,7,1,1
ExcelDna.Integration.RxExcel,DebuggingDisposable,DebuggingDisposable,3,1,1
ExcelDna.Integration.RxExcel,DebuggingDisposable,Dispose,4,1,0
ExcelDna.Integration.RxExcel,CancellationDisposable,CancellationDisposable,5,2,1
ExcelDna.Integration.RxExcel,CancellationDisposable,CancellationDisposable,2,1,0
ExcelDna.Integration.RxExcel,CancellationDisposable,Dispose,3,1,0
System.Net,WebClientExtensions,DownloadDataTask,3,1,2
System.Net,WebClientExtensions,DownloadDataTask,22,1,2
System.Net,WebClientExtensions,DownloadFileTask,3,1,3
System.Net,WebClientExtensions,DownloadFileTask,22,1,3
System.Net,WebClientExtensions,DownloadStringTask,3,1,2
System.Net,WebClientExtensions,DownloadStringTask,22,1,2
System.Net,WebClientExtensions,OpenReadTask,3,1,2
System.Net,WebClientExtensions,OpenReadTask,22,1,2
System.Net,WebClientExtensions,OpenWriteTask,3,1,3
System.Net,WebClientExtensions,OpenWriteTask,22,1,3
System.Net,WebClientExtensions,UploadDataTask,3,1,4
System.Net,WebClientExtensions,UploadDataTask,22,1,4
System.Net,WebClientExtensions,UploadFileTask,3,1,4
System.Net,WebClientExtensions,UploadFileTask,22,1,4
System.Net,WebClientExtensions,UploadStringTask,3,1,4
System.Net,WebClientExtensions,UploadStringTask,22,1,4


index,feature_extraction,segmentation,clustering,classification,neural_networks,reinforcement_learning,generative_adversarial_networks,anomaly_detection,dimensionality_reduction,data_visualization,energy_simulation,optimization,multi-objective_optimization,measurement,validation,data_collection,statistical_analysis,factor_analysis,regression,correlation
baseline_models,,,,,0.07454650104045868,,,0.09464485943317412,0.09184729307889937,,0.2021588385105133,,,,0.13159482181072235,0.08336734771728516,0.1327953189611435,,0.2586401104927063,0.07495670020580293
ecm,0.13973616063594818,0.060346487909555435,0.15183129906654358,0.16931751370429993,0.14432954788208008,,,,0.05220833793282509,0.1159963607788086,0.3155973553657532,0.18205860257148745,0.2054504156112671,0.10433665663003923,0.1857483685016632,0.13862453401088715,0.16551928222179413,0.057795669883489616,0.21193164587020874,0.12220176309347153
air_speed,,0.09539590030908583,0.09267418086528778,0.1394553929567337,0.06613224744796753,,,,,0.07895033061504364,0.2435262501239777,0.2656890153884888,,0.4181915521621704,0.29720360040664673,0.18085229396820068,0.1487421989440918,,0.1851384937763214,0.2906961441040039
wind_direction,,,0.07390281558036804,0.2062976360321045,,0.07567276060581207,,0.10723242163658142,,0.07224924862384796,0.15530946850776672,0.14714869856834412,,0.26790130138397217,0.14404958486557007,0.14348362386226654,0.1944088637828827,,0.1713312268257141,0.2852785289287567
wind_speed,0.060562167316675186,,0.1555427759885788,0.2062976360321045,0.11868927627801895,0.07567276060581207,,0.07331075519323349,,0.1186310574412346,0.1787945032119751,0.1961648166179657,,0.3561639189720154,0.2655861973762512,0.213675394654274,0.26411673426628113,,0.2533766329288483,0.3996434211730957
indoor_air_temperature,0.10855287313461304,0.08643531054258348,0.1706409752368927,0.25705212354660034,0.10698549449443816,0.14789313077926636,,,,0.05151384323835373,0.21706311404705048,0.3392214179039001,0.10794979333877563,0.4975492358207703,0.35951244831085205,0.2481611371040344,0.18851777911186215,0.05603006854653359,0.29812681674957275,0.3722818493843079
outdoor_air_temperature,0.08853955566883087,,0.056979812681674964,0.11524656414985655,,,,0.06240560859441757,,0.06480610370635986,0.16118596494197845,0.14219892024993894,,0.2776334881782532,0.21331824362277985,0.17096146941184998,0.18971553444862368,,0.27938205003738403,0.3100568652153015
outdoor_temperature,0.05032603815197945,,0.24157071113586426,0.1659105122089386,0.09804710000753404,0.09021115303039552,,,,,0.1357950121164322,0.1976997554302216,,0.19679021835327148,0.200671911239624,0.18372249603271484,0.22023889422416687,,0.3130258619785309,0.3259250521659851
relative_humidity,,,0.1391775906085968,0.1956074833869934,0.12390632927417755,0.06481922417879105,,,,0.09944150596857072,0.1934584528207779,0.2411085665225983,0.10184656083583833,0.4464871287345886,0.2780492901802063,0.26024919748306274,0.2308071106672287,,0.2531265616416931,0.34693586826324463
time-step,0.10111364722251892,,0.09820396453142166,,0.14292016625404358,0.10106466710567474,,,,0.08380056172609329,0.25163933634758,0.1653510332107544,0.10654149949550627,0.15917931497097015,0.2315463870763779,0.1607009470462799,0.06599634140729904,,0.202786922454834,
heat_balance,0.08752069622278214,0.06299099326133728,0.07672084867954254,0.09623037278652193,0.07514362782239914,0.052948016673326485,,,,0.058797650039196014,0.3415656387805939,0.1911635398864746,0.15423166751861572,0.195377379655838,0.23388727009296414,0.11538010090589525,0.15993386507034302,,0.21376535296440125,0.1389714479446411
energy_balance,,,0.08407425135374069,0.1223066747188568,,,,0.051396649330854416,,0.0566210076212883,0.25262272357940674,0.3237287402153015,0.1948356181383133,0.18631333112716675,0.27955374121665955,0.1029280349612236,0.1314350664615631,,0.20348596572875974,0.19441363215446472
heat_transfer,0.08049595355987549,0.07601957023143767,0.12033675611019135,0.1902405321598053,0.05949774757027626,,,,,0.08343348652124405,0.2699182629585266,0.3369324803352356,0.08073607087135315,0.3399813175201416,0.33703625202178955,0.1258419156074524,0.16076943278312686,,0.14701306819915771,0.3299140334129333
carbon_dioxide,,,,0.16658422350883484,0.10340523719787598,0.06671846657991409,,,,,0.1355615258216858,0.20381061732769007,0.1073332577943802,0.32055118680000305,0.1024935096502304,0.11427149176597595,0.1017828732728958,,0.1029558926820755,0.20996415615081787
site,0.08923463523387909,0.21618732810020447,0.2869331240653992,0.37320321798324585,0.09000691771507263,,,0.05732207372784615,,0.18887728452682492,0.16905704140663147,0.3493541479110718,0.14204272627830505,0.4264324307441712,0.2856779098510742,0.3661240339279175,0.2129979431629181,,0.19624999165534973,0.32784491777420044
weather_data,0.11683666706085205,,0.20671069622039795,0.1891596019268036,0.12970340251922607,0.0568043664097786,,0.06612968444824219,,0.22189602255821228,0.5364257097244263,0.2650398015975952,0.12309449911117555,0.2965794801712036,0.3546525835990906,0.3176954984664917,0.3421712815761566,0.06336229294538498,0.2926154136657715,0.2075990736484528
dry_bulb_temperature,0.06373745203018187,,,0.0704183578491211,0.08071944117546083,0.0792633667588234,,,,,0.19067494571208954,0.12088228762149812,0.0589262917637825,0.2459335327148437,0.15996667742729187,0.09839862585067748,0.17120295763015747,,0.2222568392753601,0.2397032976150513
dew_point,,,,0.07537203282117844,0.07142524421215057,,,0.05745745450258255,,,0.1257397085428238,0.1494656801223755,0.15186338126659393,0.2471594214439392,0.13454869389533994,,0.11373063921928404,,0.16515681147575378,0.16091559827327728
energy_consumption,0.17824353277683258,0.1102159172296524,0.30963772535324097,0.3215596675872803,0.24333399534225464,0.1483905017375946,0.05336883664131165,0.21517005562782288,0.11764200776815414,0.272337019443512,0.44846853613853455,0.5524547696113586,0.2820378839969635,0.3394249677658081,0.3359150588512421,0.3782138228416443,0.3804171681404114,0.08941542357206345,0.4132717251777649,0.35069483518600464
schedule,0.2249620258808136,0.15710636973381042,0.3474974036216736,0.3504812717437744,0.2374655306339264,0.16260704398155212,0.08860629051923752,0.2197769582271576,0.141633540391922,0.1506621539592743,0.3825801610946655,0.5449684262275696,0.305117130279541,0.30821549892425537,0.3387980461120605,0.3713633120059967,0.2705589234828949,,0.283635675907135,0.340084433555603
ahu,0.1668931245803833,0.11953768134117125,0.1790650188922882,0.2107815444469452,0.22148582339286804,0.16784581542015076,0.08506590127944946,0.11783450841903688,0.10808824747800827,,0.18514658510684967,0.2958969473838806,0.19946454465389246,0.21670788526535034,0.3295402526855469,0.18029136955738068,0.13808660209178925,0.11902008205652236,0.1841013729572296,0.18547412753105166
energy_price,,,0.16106708347797394,0.10579854249954224,0.07006591558456421,0.10821425914764404,,,0.07268084585666656,,0.09722674638032912,0.2709217071533203,0.13508093357086182,0.10326877981424333,0.060797475278377526,0.08491872996091843,0.18455049395561215,,0.1826017946004868,0.23515045642852786
cost_savings,,0.06054899841547012,0.11528634279966354,0.08713045716285706,0.14124220609664914,0.10395809262990953,,,0.11253730952739716,0.1231728196144104,0.15201407670974731,0.3403016924858093,0.21842679381370544,0.06807094812393187,0.10918182134628296,0.12348918616771698,0.10414784401655196,,0.1374085247516632,0.12324778735637665
building_envelope,0.16401079297065735,0.12924261391162872,0.12370842695236205,0.2757623791694641,0.099124476313591,0.08899916708469391,,,,0.09898342937231064,0.4454305768013001,0.4747982025146485,0.2709396481513977,0.2523552179336548,0.2532194256782532,0.1788584440946579,0.17475587129592896,,0.22478237748146054,0.24536605179309845
building_geometry,0.13626360893249512,0.12534986436367035,0.07283458858728409,0.18580126762390134,,,,,0.10486894845962524,0.2452056407928467,0.5010842680931091,0.31371626257896423,0.15315526723861694,0.07699347287416458,0.15351533889770508,0.13193537294864655,0.12493031471967694,,0.13844478130340576,0.17407578229904175
material_properties,0.10323399305343628,0.1068151444196701,0.08674818277359009,0.20410600304603574,0.07933083921670914,,,,,0.08094459772109985,0.34311947226524353,0.23096275329589844,0.06620771437883377,0.31415998935699463,0.263201117515564,0.14491187036037445,0.15613000094890594,,0.16027024388313293,0.23907719552516934
glazing,0.06643204391002655,0.1002320647239685,0.13086585700511932,0.1968715488910675,0.07630839943885802,0.0848870500922203,,,0.1011202558875084,0.09494978189468384,0.2733118534088135,0.26103657484054565,0.10757617652416228,0.22220593690872192,0.1612294316291809,0.0995856747031212,0.08025520294904709,,0.19932983815670013,0.21753956377506256
shading_devices,0.050893161445856094,0.13096854090690613,0.1142485737800598,0.19902682304382324,0.09244344383478163,0.13301318883895874,,,,0.105154387652874,0.2665744125843048,0.3378765881061554,0.1811714470386505,0.1719614416360855,0.1476496458053589,0.09779661893844603,0.0921567678451538,,0.1586119532585144,0.17149783670902252
building_orientation,0.10694865882396698,0.24101170897483826,0.24104928970336914,0.2114763855934143,0.062280356884002686,0.061743859201669686,,,0.056378960609436035,0.13476356863975525,0.2406342029571533,0.31522732973098755,0.1815020889043808,0.27290886640548706,0.20111623406410215,0.192654088139534,0.14683173596858978,0.08250612020492554,0.1713712513446808,0.34520846605300903
zone,0.08639153838157654,0.1838116943836212,0.26719486713409424,0.3542117476463318,0.0519363135099411,0.07318994402885437,,,0.06216224655508995,0.09214316308498384,0.3626648187637329,0.2737585008144379,0.12654554843902588,0.3069630563259125,0.30953115224838257,0.20552004873752594,0.12099259346723555,,0.1874895691871643,0.26907315850257874
surface,0.06571690738201141,0.22445707023143768,0.21714919805526733,0.3002520501613617,0.05888113379478455,,,,,0.08078073710203171,0.20625504851341248,0.22954249382019046,,0.4079547822475433,0.2713489830493927,0.1457073986530304,0.1323259472846985,,0.14773306250572205,0.32432568073272705
thermal_mass,,0.061856284737586975,0.11244020611047743,0.13382588326931,0.09441793709993362,0.05759008601307869,,,,,0.2507714927196503,0.3319529891014099,0.12351040542125702,0.15974262356758118,0.16342434287071228,,0.07719772309064865,,0.10851100832223892,0.17559313774108887
building_form,0.0918651670217514,0.1304253339767456,0.15039879083633426,0.07333934307098389,,,,0.056053660809993744,0.12443533539772035,0.18918004631996155,0.3314008712768555,0.3524021506309509,0.25199419260025024,0.06649256497621536,0.07731622457504272,0.13347573578357694,0.10053333640098573,0.09921030700206757,0.18715089559555054,0.19193609058856964
passive_design_strategies,0.06489005684852599,,,,0.053109370172023766,,,,0.12587401270866394,,0.19813990592956546,0.19454343616962436,0.16230618953704834,,0.054902467876672745,,0.05364102125167847,0.09959752857685088,0.07902702689170837,
natural_ventilation,,0.07614369690418242,0.09418082982301712,0.17709189653396604,0.12022598087787628,0.13812345266342166,,,0.09196022897958757,0.1068594828248024,0.3253355622291565,0.3569214344024658,0.15191109478473666,0.1785956621170044,0.24957704544067386,0.1666725128889084,0.22464293241500852,,0.1575871855020523,0.17233170568943024
internal_heat_gains,0.12724924087524414,0.07900172472000122,0.11445958912372588,0.15830343961715698,0.1588463932275772,0.10256427526474,,,,,0.2511414885520935,0.20748096704483032,0.06331133842468263,0.2100692987442017,0.1948031187057495,0.17066794633865354,0.15990115702152252,,0.2474462985992432,0.22490692138671875
lights,0.07758599519729614,0.07225225865840912,0.16690252721309662,0.23448684811592105,0.09746560454368593,0.09017729759216307,,,,0.14780420064926147,0.3001603484153748,0.3485350608825684,0.12772774696350098,0.2692635953426361,0.21067142486572266,0.2345917373895645,0.17768660187721252,,0.21415726840496066,0.26903414726257324
equipment,0.14432890713214874,0.12865875661373138,0.2722397148609161,0.34159430861473083,0.13088685274124146,0.09651020914316176,,0.11052905768156053,,0.13662953674793246,0.214750736951828,0.3652251958847046,0.09113048017024994,0.4168509244918823,0.28604888916015625,0.3708313703536987,0.18916432559490204,,0.18700934946537015,0.22042381763458246
daylighting,0.0785641148686409,0.08188185095787047,0.13816557824611664,0.1851838380098343,0.1501207798719406,0.10189078748226166,,0.056555148214101784,0.07267950475215912,0.27798992395401,0.4369373321533203,0.4161747992038727,0.22817999124526975,0.3030218482017517,0.24435232579708102,0.16042974591255188,0.17400021851062775,,0.20428615808486936,0.2166701853275299
mass_flow_rate,,,0.07702047377824782,0.10400701314210893,,,,,,,0.11350520700216292,0.2622172236442566,0.05089379847049713,0.3044447898864746,0.241448312997818,0.06774349510669707,0.05403856933116913,,0.09306851029396056,0.2488808780908585
inlet_temperature,,,,,,,,,,,,0.1835688054561615,,0.18616072833538053,0.1595526784658432,,0.054448552429676056,,0.09651026129722597,0.1929784119129181
outlet_temperature,,,,0.06230555847287177,,,,,,,,0.1889040321111679,,0.2301168590784073,0.2363360822200775,,,,0.09123174846172333,0.20701727271080014
cooling_load,0.08961127698421477,0.05706796422600746,0.15903203189373016,0.15544366836547852,0.13279390335083008,0.1895298957824707,,,,,0.3597201704978943,0.3232635855674744,0.1395522952079773,0.25162410736083984,0.2890329957008362,0.14352943003177646,0.20030224323272705,0.06645259261131288,0.2771110236644745,0.2832077443599701
heating_load,0.11946266889572145,0.10626214742660522,0.1709730327129364,0.11512774229049685,0.08508230000734329,0.0951821357011795,,,0.06230662390589714,0.07092936336994171,0.2784577012062073,0.2115204930305481,0.16535456478595734,0.17102769017219546,0.2082785665988922,0.0905318334698677,0.20184600353240967,0.12957072257995605,0.26515936851501465,0.28569865226745605
chilled_water,,,0.1041470617055893,0.05710205063223839,0.08116927742958069,,0.05706945806741715,,0.07518523186445236,,0.11091700941324234,0.276789128780365,0.13593153655529022,0.1570412516593933,0.17540061473846436,0.08350098133087157,0.05221296101808548,,0.08902731537818909,0.13702130317687988
chiller,0.1414223611354828,,0.16424822807312012,0.19550058245658875,0.15525639057159424,,,0.08334442228078842,,,0.19090871512889865,0.3587098717689514,0.15054410696029666,0.18468308448791504,0.2688138782978058,0.14776767790317535,0.1430283933877945,,0.20325511693954468,0.2033003270626068
cop,0.05583962798118591,,0.15638911724090576,0.11501380056142807,0.1314793974161148,0.079659603536129,,0.07104174047708511,,,0.213972806930542,0.3384488523006439,0.2241116166114807,0.2344140708446503,0.25688278675079346,0.1541270613670349,0.16412779688835144,0.05156981945037842,0.22076557576656344,0.2791349291801453
hot_water,,,0.11239250004291534,0.1284380704164505,,,,,,,0.07144850492477417,0.2305087000131607,,0.1968695968389511,0.17171671986579895,0.1167745441198349,0.09753714501857758,,0.09118012338876724,0.1515388786792755
compressor_power,,,0.08347126096487045,,,,,,0.0879712849855423,0.050924792885780334,0.07567142695188522,0.10662980377674104,,0.05863800272345542,0.11706126481294632,,,,0.13567408919334412,0.197868213057518
condenser_fan_power,,,,,,,,,,0.06716173887252808,,0.05006621405482292,0.09769463539123537,,,,,,,
condensing_temperature,0.06478776782751082,,0.16306936740875244,,,,,0.05224577710032463,0.07837750017642975,0.06232824921607971,0.06574883311986922,0.1681961566209793,,,0.1017027199268341,,,,0.12735122442245486,0.14822812378406525
fan_power,,,,,,,0.06445114314556122,0.07172401249408722,0.06938763707876205,,0.10131463408470154,0.18013909459114075,,0.15554404258728027,0.13631200790405273,0.05359741300344467,,,0.14368391036987305,0.1608281433582306
fan_speed,,,0.05356144905090332,0.05893859267234802,,0.11807124316692352,,,,,,0.23359060287475586,0.06161316111683845,0.2011699676513672,0.17518658936023712,0.10644160956144333,0.05019325762987137,,0.163261741399765,0.19833217561244965
set_point,0.06928863376379013,,0.193668469786644,0.16340655088424685,0.08777762949466705,0.1373404860496521,,,,,0.2154170274734497,0.4036799669265747,0.2056596726179123,0.2635470032691956,0.2362295538187027,0.16203007102012634,0.10970109701156616,,0.18405115604400635,0.19707940518856049
water_temperature,,,0.06148917600512505,0.0583910346031189,0.10460317134857178,0.06403198838233948,,,,,,0.2557934522628784,0.053335625678300864,0.2618618309497833,0.1956680119037628,0.10606059432029724,0.10136691480875017,,0.10872768610715866,0.2414053976535797
variable_air_volume,0.09540505707263948,,0.11430323123931885,0.13071262836456302,0.1928187608718872,0.19360235333442688,,0.06398025155067444,0.08166023343801497,,0.2540840208530426,0.2186395525932312,0.16928252577781674,0.20075705647468567,0.2232237160205841,0.10384032875299454,0.14687511324882507,,0.15109390020370486,0.08564886450767517
constant_air_volume,0.10632316023111343,,,,0.07536041736602782,0.07514437288045883,0.060350146144628525,,,,0.10946387052536012,0.10480226576328278,,0.053707122802734375,0.06502203643321991,,,,0.10005190968513487,0.0517328605055809
static_pressure,,,,0.09656320512294768,,0.07123762369155884,,0.06082812324166297,,,0.09555575251579283,0.2114330381155014,0.07281585782766342,0.2556974291801453,0.14710909128189087,0.0683709979057312,,,0.0922187715768814,0.1437794715166092
differential_pressure,,,,,,,,,,,,0.1112723872065544,,0.29618263244628906,0.11642080545425415,0.09278783202171326,,,,0.18444377183914185
thermal_comfort,0.0964040830731392,0.1371690034866333,0.1859087347984314,0.2647547125816345,0.19128042459487915,0.20971570909023285,,,0.08409671485424043,0.15773752331733704,0.3496604859828949,0.4813262224197388,0.3687068819999695,0.29950475692749023,0.3384245038032532,0.2939401268959045,0.29204022884368896,,0.3079255223274231,0.3043982982635498
damper,,0.06598136574029922,0.08302158117294313,0.14545559883117676,0.07982702553272247,,,,,,0.10598978400230408,0.2730701565742493,0.12324768304824828,0.28683221340179443,0.29381826519966125,0.09092307090759276,0.07193565368652344,0.058249764144420624,0.1020507588982582,0.17546315491199493
air-to-air,0.053053654730319984,,,0.0711616650223732,,,0.07783777266740799,,0.05282686650753021,,0.13888154923915866,0.11050927639007567,0.16579188406467438,,0.13824108242988584,,,0.07443372905254364,,
air-to-water,,0.1039540097117424,,,,,,,,,,0.07443736493587494,0.13118109107017514,,0.060744557529687875,,,0.06912531703710556,,
heat_recovery,0.12946367263793945,,,0.11143077909946443,0.08758574724197388,,,,0.05576932430267334,,0.19508805871009827,0.32709908485412603,0.216724306344986,0.20027786493301392,0.21804438531398773,0.08602077513933183,0.09653475135564804,,0.1108490750193596,0.17188167572021484
load_profile,0.16536885499954224,0.18036246299743647,0.3356941938400269,0.2064821720123291,0.09410139918327333,,,0.16288131475448608,0.17190080881118774,0.12275590002536775,0.2052806913852692,0.2761465907096863,0.2287642806768417,0.19574302434921265,0.2456477284431457,0.19575634598731995,0.1976774334907532,0.1495366394519806,0.20824456214904785,0.16613060235977173
time-of-use,,,0.1445056051015854,0.1048780232667923,,0.07864299416542052,,,0.08740942180156708,0.0975496917963028,0.08535938709974289,0.21756190061569214,0.09296488761901857,0.06426745653152466,0.07056824117898941,0.06541425734758377,0.05616860464215279,,0.1474519520998001,0.11609090864658354
household_appliances,0.09544959664344788,,0.09315799176692964,0.11960019171237946,0.06943774223327638,,,0.1548711061477661,0.07448410987854004,0.05225631967186928,0.0661541149020195,0.1520981788635254,0.12786538898944855,,,0.10636884719133376,0.0782550796866417,,0.13977688550949094,0.1088513880968094
energy_storage,,,0.08813249319791794,0.16867899894714355,0.13425132632255554,0.07867461442947388,,,,0.06748966872692108,0.1662997305393219,0.35685330629348755,0.16245096921920776,0.17463988065719604,0.15231457352638245,0.12868556380271912,0.08617377281188965,,,0.07614906877279283
smart_meters,0.08898714184761047,0.08669130504131317,0.2321605831384659,0.15090739727020264,0.12818273901939392,0.12945611774921414,,0.1567765474319458,,0.17754483222961426,0.08133046329021454,0.17725202441215515,0.07365082949399948,0.25701433420181274,0.18600867688655853,0.3550775647163391,0.1581001579761505,,0.08145105838775635,0.13305315375328064
post-occupancy_evaluation,0.0924466997385025,,,,0.12813237309455872,0.09036511182785034,0.1061885505914688,0.07386883348226547,,0.2120714783668518,0.2271789610385895,0.07624822854995728,0.09694570302963257,0.12517762184143064,0.16020232439041138,0.2796844840049744,0.1218142881989479,,0.09401941299438477,
coefficient_of_variation,,,0.09049950540065764,,,0.07962425798177719,,0.09022657573223114,,,0.23159702122211456,0.08327753841876984,0.11900775879621504,0.16335822641849518,0.2447565644979477,,0.282216876745224,0.09136689454317093,0.2859974801540375,0.21809838712215426
calibrated_model,0.16770339012145996,0.08701198548078537,0.11481231451034545,0.05034464597702026,0.11289890110492705,,,0.11755920201539992,0.06834162026643753,0.12300961464643477,0.3793502748012543,0.2004484236240387,0.1770959198474884,0.12091848999261855,0.3689092695713043,0.14088526368141174,0.21129442751407626,0.12313336879014967,0.2536833584308624,0.11226791143417357
electricity_pricing,0.10468025505542757,0.11432020366191865,0.09743397682905196,,0.06909628212451935,0.10186812281608583,,0.08684775978326797,0.12278948724269867,0.13954612612724304,0.22619813680648804,0.18558146059513086,0.090761199593544,0.06323139369487762,0.13487669825553894,0.15590578317642212,0.1750708520412445,,0.16911044716835022,0.07499659061431885
cost_analysis,0.08041201531887054,0.05892111733555794,,0.07916544377803802,0.07852908223867416,,,0.06443086266517639,0.10967812687158583,0.1593598872423172,0.2736808657646179,0.2084775418043137,0.1876285970211029,0.05604775995016098,0.19318029284477234,0.15100522339344025,0.1048153191804886,0.12154036760330199,0.11429211497306825,
control_algorithms,0.12852993607521054,0.1173221468925476,0.12218985706567766,0.1730729192495346,0.26219943165779114,0.2282582372426987,,0.07033302634954453,0.07865823060274124,0.19958528876304624,0.2393125593662262,0.4031850397586823,0.26473698019981384,0.1484132707118988,0.3248400092124939,0.2301138639450073,0.24621501564979556,,0.203095480799675,
pmv,,,0.10707657784223557,0.1799839437007904,0.21252861618995667,0.15478850901126862,,,,,0.2216784656047821,0.1891838610172272,0.2593335509300232,0.2397652864456177,0.21425822377204892,0.12147816270589827,0.1854500621557236,0.05545153468847275,0.2784393429756165,0.2539107203483581
ppd,,,0.08472985029220581,0.15938997268676758,0.09893772006034852,0.13488347828388214,,,,,0.22071212530136108,0.1873018443584442,0.2461984157562256,0.13012942671775818,0.12489384412765504,,0.14018671214580536,,0.16363012790679932,0.14294672012329102
thermal_sensation,0.08383627235889435,0.104390487074852,0.12455074489116667,0.1732831597328186,0.12919820845127106,0.11007298529148102,,0.06935610622167587,,0.07130367308855058,0.19024287164211276,0.10136888921260834,0.11491850018501283,0.22723400592803955,0.23143965005874634,0.2036459594964981,0.2476910501718521,0.05205684155225754,0.3414586186408997,0.2765503525733948
operative_temperature,,,0.0847027525305748,0.09489460289478302,,0.0856848657131195,,,,0.0744858831167221,0.17881827056407928,0.0971010997891426,0.0547461099922657,0.2448779940605164,0.1591605693101883,0.10210303962230682,0.19341929256916046,,0.2940749228000641,0.2384169697761536
mean_radiant_temperature,,0.05769894272089005,,,0.05477118492126465,0.07492645829916,,,,,0.17650693655014038,,0.055349215865135186,0.2447182238101959,0.1263280063867569,0.08732661604881288,0.0840708464384079,,0.11948657780885695,0.18523117899894714
clothing_insulation,,,,0.05307310074567795,0.05698004737496376,0.11417385935783385,,,,,0.13630668818950653,,,0.13019414246082306,0.09521596133708954,0.13574692606925964,0.1425207108259201,0.06157418340444565,0.2430416643619537,0.19851022958755493
thermal_comfort_index,,,,,0.09428608417510986,0.11456304788589478,,,,,0.22071212530136108,0.05747419595718384,0.15323954820632935,0.07812834531068802,,,,,0.07541871070861816,
ashrae_guideline_14,0.1294974386692047,,,0.09203897416591644,0.07077982276678085,0.050716981291770935,0.10452339053153993,0.1244141012430191,0.06423306465148926,,0.2259880304336548,0.05442392081022263,0.08055137097835541,0.16856646537780762,0.2341915369033813,0.10475685447454453,0.16197296977043152,0.06979075819253923,0.14814260601997375,
calibrated_simulation,0.10271356999874116,,,,,0.10503242909908296,,0.08954036980867386,0.08160503208637238,,0.19040817022323608,0.06314203143119812,0.06540274620056152,0.11435497552156447,0.10212424397468567,0.08708919584751129,0.08321792632341385,0.09142673760652542,0.06196659803390502,
occupant_behavior,0.11253362894058228,0.0609978586435318,0.20329919457435608,0.1858619898557663,0.21635915338993075,0.16883209347724915,,0.10172390192747116,,0.11978702247142793,0.4618965983390808,0.25865262746810913,0.2117791175842285,0.1493518054485321,0.2299969345331192,0.2827786505222321,0.2871328890323639,,0.232381284236908,0.15543538331985474
noise_level,0.10082119703292848,0.1859116554260254,,0.11331385374069215,,0.10063865780830383,,0.07532902806997299,0.1242295429110527,,,0.06590341031551361,,0.2806651294231415,0.08442585170269012,0.08105884492397307,0.11909392476081848,,0.11745585501194,0.19800053536891934
eui,0.09656471014022827,0.09536637365818024,0.2176814079284668,0.2190680205821991,0.07124921679496765,,,,,0.07175062596797943,0.16713601350784302,0.17396265268325806,0.08350105583667755,0.08639854192733765,0.151680588722229,0.10772780328989028,0.2636476159095764,0.06751291453838347,0.33270031213760376,0.24506384134292605
historical_data,0.29107895493507385,0.1180233359336853,0.335129588842392,0.2952195405960083,0.3707911968231201,0.1953214704990387,,0.2873382568359375,0.20829054713249207,0.24706393480300906,0.1998431235551834,0.2635866403579712,0.06967181712388992,0.2420297861099243,0.3357670307159424,0.35969942808151245,0.498902678489685,0.07090689986944199,0.3621630966663361,0.2611306309700012
real-time,0.19561409950256348,0.1745220422744751,0.19532254338264465,0.2447677552700043,0.27461808919906616,0.1610392928123474,,0.2706728279590607,,0.4659499526023865,0.2715785801410675,0.4352505207061768,0.17785021662712094,0.4088001251220703,0.36189204454422,0.4021481275558472,0.28801071643829346,,0.1598086804151535,0.21384507417678836
meter_readings,0.24150782823562625,0.22538694739341736,0.3194931149482727,0.1510028839111328,0.21103298664093015,0.10344792902469636,0.05590999498963356,0.2788458466529846,0.18889981508255005,0.2034672498703003,0.0930406004190445,0.13258478045463562,,0.2280073165893555,0.17117191851139069,0.3032569885253906,0.3125400245189667,0.08098611235618591,0.21127261221408844,0.1839078664779663
heating_degree_days,,,0.1654684841632843,0.09628556668758392,,,0.05608852207660675,0.07586821913719177,,,0.18008798360824585,,,,0.08370226621627808,,0.12019068002700806,0.1104777455329895,0.27204859256744385,0.2460226863622665
cooling_degree_days,,,0.09945164620876312,,,,0.08275379985570908,,,0.053248748183250434,0.09082239866256714,,,,,,0.10084615647792816,0.16712161898612976,0.2970064878463745,0.19452422857284546
performance_measurement_and_verification,0.058145731687545776,0.055640392005443566,,,,0.09117689728736876,0.06493279337882996,,,,0.2384001761674881,,,0.09676159918308258,0.140516459941864,0.1443118005990982,0.07359585165977478,0.05052456632256508,,


number_new,number,ID,cities_lead,Publication identified in which step,manual_validation_cities_lead,publication_DOI,publication_URL,article_yes_no,publication_date,unsure_about_publ_yes_no,reason,other_comments,rater,title,firstDrksPublishDate,startDate,startDate_plannedActual,studyEnd,intervention.category0,intervention.value0,intervention.category1,intervention.value1,intervention.category2,intervention.value2,address.type0,address.affiliation0,address.firstname0,address.lastname0,address.type1,address.affiliation1,address.firstname1,address.lastname1,targetSize,recruitmentStatus,investorInitiated,monoMultiCentric,publication.category0,publication.type0,publication.value0,publication.category1,publication.type1,publication.value1,publication.category2,publication.type2,publication.value2,publication.category3,publication.type3,publication.value3,publication.category4,publication.type4,publication.value4
278,6,DRKS00012871,Aachen,2,Aachen,10.1186/s12938-018-0526-0,https://pubmed.ncbi.nlm.nih.gov/30005629/,yes,13.07.2018,no,,,EN,Application of EIT to determine bladder volume,2017-08-24,2013/09/02,Actual,2014/12/31,Arm 1,"Interventional, open proband study of the measurement of the electrical impedance at filled and emptied bladder with measuring times of 5 minutes per cycle each with different electrode arrangements.",,,,,Primary Sponsor,Klinik für UrologieUniklinik RWTH Aachen,Joachim,Grosse,Contact for Scientific Queries,Klinik für UrologieUniklinik RWTH Aachen,Joachim,Grosse,12,"Recruiting complete, follow-up complete",yes,Monocenter trial,Approval of ethics comm. (mandatory for transfer to Studybox),13-042_2013-07-25_Votum BlasenEIT.pdf,Ethics Votum,Further trial documents,13-042_BlasenEIT_CRF_Version 01_07-08-2013.pdf,Patient survey,Further trial documents,EIT_Messprotokoll_UKA_HIA .pdf,Messprotokoll Elektrische Impedanztomographie,,,,,,
388,2,DRKS00004887,Aachen,3,Aachen,DOI: 10.1055/a-0891-3505 ,https://pubmed.ncbi.nlm.nih.gov/31108553/,yes,20.05.2019,no,,,EN,Changing lifestyle and improving subjective judgment of occupation by a  planning-competence-training with follow-up care among type II diabetes mellitus and adiposity inpatients: a randomized controlled trail. ,2013-10-07,2013/01/16,Actual,2015/04/30,Arm 1,"Experimental condition: Planning-Competence training with follow-up care.<br/><br/>The planning competence training is composed of four training units (length 1 -1,5 h) and a transfer session.<br/>Following three training units the transfer session is placed before the last training unit, which is a parallel construct to the first unit thus functioning as a performance control. <br/>By providing an opportunity for reflection of the training contents the transfer session supports the process of implementing the content to daily life (length 1,5 h).  The units take place at five sequenced days. The individual target planning<br/>During an one-on-one closing interview(length: about one hour) at the end of the rehabilitation process at the clinic certain goals and plans are defined individually.  Each patient formulates individual self-instructions helping to put the plans concnering lifestyle shift into practice. The telephone follow-up care lasts six months in which the patient is called every four weeks. Throughout those phone calls the planned goals and lifestyle shifts are discussed (length about 15 minutes). <br/>",Arm 2,Control group 1: Planning-Competence training without follow-up care,Arm 3,"Control group 2:  Placebocondition with placebo follow-up care<br/>The placebo- intervention serves lectures about general topics in health care and prevention like stressprevention, relaxation, alcohol, burnout prevention and salutogenisis (length about 30 minutes). In addition the contact is abided by  one-on-one interviews in the end of the training and a placebo telephone follow-up care (each telephone call lasting about 15 minutes).  General state of health is addressed during those calls without bringing up the topics of lifestyle shift.<br/><br/><br/>",Primary Sponsor,REFONET,Burkhard,Wild,Contact for Scientific Queries,"Institut für Psychologie<br/>RWTH Aachen, Lehr- & Forschungsgebiet Berufliche Rehabilitation",Viktoria,Arling,791,"Recruiting complete, follow-up complete",yes,Monocenter trial,,,,,,,,,,,,,,,
305,14,DRKS00011600,Bochum,2,Bochum,10.1016/j.jcrs.2017.04.038,https://www.sciencedirect.com/science/article/abs/pii/S0886335017304479,yes,01.07.2017,no,,,HK,Evaluation of Clinical Acceptability of the IC-8 Intraocular Lens,2017-01-25,2015/03/03,Actual,2016/11/10,Arm 1,"Appropriate patients are included in the study after signing the patient consent form. A total of 10 study visits will be necessary:<br/><br/>Preoperative examination of both eyes, first eye surgery (monofocale intraocular lens), examination 1 day after surgery first eye, examination 1 week after surgery first eye, second eye surgery (study lens IC-8, Acufocus), examination 1 day after surgery second eye, examination 1 week after surgery second eye, examination 1 month after surgery second eye,<br/>Examination 3 months after surgery second eye, examination 6 months after surgery second eye<br/><br/><br/>The following examinations are carried out on the preoperative visit:: ocular health and history;visual acuities; manifest refraction; pupil size (mesopic, photopic, and dilated); keratometry; biomicroscopic slit-lamp findings; visual symptoms; biometry (e.g., axial length, ACD, lens thickness, white to white, and IOL power calculation); ocular dominance;  applanation intraocular pressure; dilated fundus exam; potential acuity assessment; subjective questionnaire.<br/>Postoperative visits will assess visual outcomes including: visual acuities; manifest refraction; defocus curves; keratometry; applanation intraocular pressure; slit-lamp findings; visual symptoms; dilated fundus exam; AcuTarget (subgroup only); mesoptometer (subgroup only); visual field test (subgroup only),<br/>subjective questionnaires, and an investigator survey. All examinations with the exception of the AcuTarget measurement and the subjective patient questionnaire, are considered routine, non-invasive assessments after cataract surgery.<br/>",,,,,Primary Sponsor,AcuFocus Inc.,Michael,Bonilla,Contact for Scientific Queries,Universitätsklinikum Knappschaftskrankenhaus Bochum GmbH Augenklinik,H. Burkhard,Dick,130,"Recruiting complete, follow-up complete",no,Multicenter trial,,,,,,,,,,,,,,,
79,90,DRKS00013047,Erlangen,0,Erlangen,10.1186/s12871-017-0435-y,https://link.springer.com/article/10.1186/s12871-017-0435-y,no,,yes,"""preliminary data"" von 14/100 Patienten werden berichtet. ",,HK,Intraoperative neuromonitoring of neurosurgical patients using a non-invasive tissue-photospectrometry technique ,2017-10-02,2013/10/04,Actual,2017/10/21,Arm 1,"A non-invasive combined Laser-Doppler-flowmeter and tissue-spectrophotometer is used in patients undergoing scheduled intracranial surgery (group 1) to record local cerebral microcirculation intraoperatively. At the same time, somatosensory evoked potentials (SEP) as an established neuromonitoring technique were measured.",Arm 2,"A non-invasive combined Laser-Doppler-flowmeter and tissue-spectrophotometer is used in patients which underwent neurosurgery in an emergency setting within 72 hours (group 2). Pathological changes of local cerebral microcirculation during intraoperative measurements are compared to changes of somatosensory evoked potentials (SEP), which are recorded at the same time.",,,Primary Sponsor,"Neurochirurgische Klinik, Universitätsklinikum Erlangen",Michael,Buchfelder,Contact for Scientific Queries,"Paracelsus-Klinik Osnabrück, Neurochirurgische Abteilung",Björn,Sommer,100,"Recruiting complete, follow-up complete",yes,Monocenter trial,trial protocol (mandatory for transfer to Studybox),O2C_Studienprotokoll.pdf,Studienprotokoll Intraoperatives vaskuläres Neuromonitoring,,,,,,,,,,,,
91,131,DRKS00006303,Freiburg,0,Freiburg,,,no,,no,,,HK,Osypka BabyStent® for the treatment of aortic isthmus stenosis in early childhood,2014-12-19,2015/09/10,Actual,2017/10/10,Arm 1,Implantation of Osypka BabyStent(R),,,,,Primary Sponsor,Universitäts Herzzentrum Freiburg Bad KrozingenKlinik für Angeborene Herzfehler und Pädiatrische Kardiologie,Brigitte,Stiller,Contact for Scientific Queries,Universitäts Herzzentrum Freiburg Bad KrozingenKlinik für Angeborene Herzfehler und Pädiatrische Kardiologie,Brigitte,Stiller,19,"Recruiting complete, follow-up complete",yes,Multicenter trial,,,,,,,,,,,,,,,
398,194,DRKS00010157,Halle,3,yes,10.1055/a-0842-6901,https://www.thieme-connect.com/products/ejournals/abstract/10.1055/a-0842-6901 ,yes,02.05.2019,no,,,TB,Implementation of a short screening (UKS) for psychosocial problems for need-based referall to rehabilitation for patients with musculoskeletal diseases and psychosocial stress in primary care,2016-05-30,2016/06/06,Actual,2017/06/30,Arm 1,"The consenting practices will be referred to the intervention group (IG) or control group (KG) through a randomized procedure and receive a study folder for documentation and provision of necessary study materials. After information and consent to participate, potential study participants receive a study folder with the same study materials (study information, declaration of consent, screening T0 (UKS)).<br/><br/>In the KG the screening sheet in original form is sent back only to scientists. In this group the choice of rehabilitation concept and clinic by the DRV reviewers is based on the usual criteria and documents. <br/><br/>Additionally, after receiving  an answer concerning their rehabilitation application through the DRV, participants of both groups fill out a T1-questionnaire and send it to the scientists.<br/>",Arm 2,"In the IG the screening sheet (UKS) as well as an evaluation survey are added to the medical record in the rehabilitation application as well as the scientist. Thereby already the reviewer, who has been trained regarding the UKS screening, has an additional information on psychosocial strains of the applicant which can be consulted for the referral decision.",,,Primary Sponsor,"Institut für Rehabilitationsmedizin,Medizinische Fakultät der Martin-Luther-Universität Halle",Wilfried,Mau,Contact for Scientific Queries,"Institut für Rehabilitationsmedizin,Medizinische Fakultät der Martin-Luther-Universität Halle",Wilfried,Mau,540,"Recruiting complete, follow-up complete",yes,Multicenter trial,,,,,,,,,,,,,,,
178,208,DRKS00009883,Hamburg,1,yes,10.1186/s12885-016-2896-7,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5101649/ ,yes,08.11.2016,no,,,TB,"Effectiveness of a structured intervention to improve nutritional behavior of young patients after cancer in childhood, adolescence and young adulthood (AYAs) with cardiovascular risk - a pilot study in context of the Survivorship Program of University Cancer Center Hamburg in cooperation with the University Neubrandenburg - INAYA study (Improved Nutrition in AYAs)",2016-03-10,2015/06/01,Actual,2015/10/08,Arm 1,"After the consultation hour for cancer survivors in the UCCH the patients of the intervention group will be 45 minutes comprehensively and individual advised by a dietitian, based on healthy eating recommendations of the German Food Association (DGE). In context of a “Baseline Assessment” the patients current nutrition behavior, as well as demographical, disease-related and biochemical parameter will be registered. After two and six weeks the dietitian contacts the patient for another consultation by phone. After 12 weeks there will be a final discussion including an “Endpoint Assessment” where the patient receives another questionnaire (HEI).",,,,,Primary Sponsor,Universitätsklinikum Hamburg-Eppendorf,[---]*,[---]*,Contact for Scientific Queries,"Hubertus Wald Tumorzentrum, Universitäres Cancer Center Hamburg, II. Medizinische Klinik und Poliklinik, Universitätsklinikum Hamburg-Eppendorf (UKE), Haus O24",Julia,Quidde,21,"Recruiting complete, follow-up complete",yes,Monocenter trial,Paper,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5101649/,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5101649/,,,,,,,,,,,,
410,220,DRKS00005159,Hannover,3,yes,10.1177/2047487319849505,https://journals.sagepub.com/doi/10.1177/2047487319849505,yes,13.05.2019,no,,"""research letter"" in journal",TB,Improvement of endogenous regeneration in female healthy volunteers through physical exercise “REBIRTH aktiv women”,2013-09-25,2013/11/20,Actual,2015/03/26,Arm 1,"Training intervention of 210 min per week over a period of 6 months. Training could be bicycling, ergometer training, swimming, walking, nordic-walking, jogging, running, rowing-ergometer, shoulder-arm-ergometer. Also daily activities will be relevant as physical activities.",Arm 2,Waiting-control group of half of the study participants.,,,Primary Sponsor,MHH - HTTG Chirurgie,Axel,Haverich,Contact for Scientific Queries,Medizinische Hochschule Hannover,Uwe,Tegtbur,313,"Recruiting complete, follow-up complete",yes,Monocenter trial,,,,,,,,,,,,,,,
196,243,DRKS00006206,Heidelberg,1,yes,10.1016/j.mhp.2016.03.002,https://www.sciencedirect.com/science/article/pii/S2212657015300118,yes,03.03.2016,no,,,TB,Evaluating a stress prevention programme for sixth form pupils,2014-07-01,2014/03/24,Actual,2014/12/31,Arm 1,"Intervention Group. The stress prevention programme will be conducted in the school setting and substitute regular sports lessons for pupils of the intervention group. Pupils will work on the topics stress and coping, class climate and peer relations as well as exam situations and worries about the future. The training contains psychoeducation as well as experience-based education. It encompasses three sessions of 90 minutes each.<br/>",Arm 2,Wait list control group. Pupils of the wait list comparison will attend regular sports classes while the programme is carried out in the intervention group. After postline assessment the wait list control group will be given the opportunity to participate in the stress prevention programme as well.,,,Primary Sponsor,Kinder- und Jugendpsychiatrie Heidelberg Zentrum für Psychosoziale Medizin,Franz,Resch,Contact for Scientific Queries,Kinder- und Jugendpsychiatrie HeidelbergZentrum für Psychosoziale Medizin,Michael,Kaess,300,"Recruiting complete, follow-up complete",yes,Monocenter trial,Paper,http://www.sciencedirect.com/science/article/pii/S2212657015300118,"Eppelmann, L., Parzer, P., Lenzen, C., Bürger, A., Haffner, J., Resch, F., & Kaess, M. (2016). Stress, coping and emotional and behavioral problems among German high school students. Mental Health & Prevention. https://doi.org/10.1016/j.mhp.2016.03.002",,,,,,,,,,,,
252,305,DRKS00010061,Köln,2,Köln,10.1159/000480356,https://www.karger.com/Article/Pdf/480356,yes,27.09.2017,no,,"Im Paper wird die Studie als beobachtend, nicht interventionell beschrieben",SW,"Prospective, early, intensified controll of central retinal thickness by optical coherence tomography to detect early recurrence of disease after treatment of neovascular Age-related macula degeneration (nAMD) by intravitreal injection ",2016-04-04,2016/04/01,Actual,2016/09/15,Arm 1,"Intervention group : All patients received three additional OCT examinations (optical coherence tomography) by protocol - in Detail: an examination of both eyes on day 7 (+/- 2 days) , day 14 (+/- 2) and day 21 (+/- 2) after injection of treatment",,,,,Primary Sponsor,Zentrum für AugenheilkundeUniklinik Köln,Sascha,Fauser,Contact for Scientific Queries,Zentrum für Augenheilkunde der Uniklinik Köln,Sascha,Fauser,100,"Recruiting complete, follow-up complete",yes,Monocenter trial,,,,,,,,,,,,,,,
433,286,DRKS00004450,Köln,9,none,,,,,,,"kein UMC, Sporthochschule",SW,"Effects of a targeted, individualized sports therapy program for childhood cancer patients on motor Performance<br/><br/>Publication: Beulertz J, Prokop A, Rustler V, Bloch W, Felsch M, Baumann FT. Effects of a 6-Month, Group-Based, Therapeutic Exercise Program for Childhood Cancer Outpatients on Motor Performance, Level of Activity, and Quality of Life. Pediatric Blood and Cancer. 2016;63(1):127-132. ",2012-10-09,2012/07/18,Actual,2015/03/31,Arm 1,"6-month sports therapy program for childhood cancer patients after inpatient medical treatment (once a week, 60 minutes)",Arm 2,childhood cancer patients; no intervention,Arm 3,healthy children; no intervention,Primary Sponsor,"Deutsche Sporthochschule Köln, Institut für Kreislaufforschung und Sportmedizin, Abteilung Molekulare und Zelluläre Sportmedizin",Freerk,Baumann,Contact for Scientific Queries,"Deutsche Sporthochschule Köln, Institut für Kreislaufforschung und Sportmedizin, Abteilung Molekulare und Zelluläre Sportmedizin",Freerk,Baumann,69,"Recruiting complete, follow-up complete",yes,Monocenter trial,Paper,[---]*,"Beulertz J, Prokop A, Rustler V, Bloch W, Felsch M, Baumann FT. Effects of a 6-Month, Group-Based, Therapeutic Exercise Program for Childhood Cancer Outpatients on Motor Performance, Level of Activity, and Quality of Life. Pediatric Blood and Cancer. 2016;63(1):127-132. ",,,,,,,,,,,,
434,287,DRKS00004735,Köln,9,none,,,,,,,"kein UMC, Sporthochschule",SW,Integrability of a computer-based exercise program in the Pediatric Oncology and effects on fatigue syndrome and quality of life in pediatric oncology patients.<br/>PAPO - „Physical Activity in the Pediatric Oncology“,2013-02-13,2013/07/15,Actual,2015/02/28,Arm 1,"Computer-based exercise program for pediatric oncology patients while stationary and outpatient hospital stay during three month. Exercise program takes place once a week, duration and intensity is determined depending on day form. Guidance for the intervention duration is 30 minutes. ",,,,,Primary Sponsor,"Deutsche Sporthochschule Köln, Institut für Bewegungs- und Neurowissenschaft",[---]*,[---]*,Contact for Scientific Queries,"Deutsche Sporthochschule Köln, Institut für Bewegungs- und Neurowissenschaft",Anna-Maria,Platschek,12,"Recruiting complete, follow-up complete",yes,Monocenter trial,Paper,[---]*,[---]*,,,,,,,,,,,,
441,300,DRKS00008578,Köln,9,none,,,,,,,"kein UMC, Sporthochschule",SW,Feasibility and effects of Whole-body vibration training in pediatric cancer patients undergoing chemotherapy,2015-06-03,2015/09/11,Actual,2017/12/01,Arm 1,"Intervention group includes pediatric cancer patients (4-17 years) under chemotherapy that receive standard care and Whole-body vibration training. Standard care includes the daily offer of physiotherapy and the offer of sports therapy twice a week. Whole-body vibration training is applied 2-3x/week for 9-14 minutes (Vibration Frequency 18-30 Hz, amplitude 2 mm).",,,,,Primary Sponsor,"Deutsche Sporthochschule Köln, Insstitut für Kreislaufforschung und Sportmedizin, Abteilung molekulare und zelluläreSportmedizin",Freerk,Baumann,Contact for Scientific Queries,"Deutsche Sporthochschule Köln, Institut für Kreislaufforschung und Sportmedizin, Abteilung molekulare und zelluläre Sportmedizin",Freerk T.,Baumann,15,"Recruiting complete, follow-up complete",yes,Monocenter trial,,,,,,,,,,,,,,,
6,325,DRKS00006178,Leipzig,0,Leipzig,,,,,,,,SW,Wound Management in Post-Bariatric Surgery<br/>Investigation for the reduction of the mean drainage volume in patients after abdominoplasty / lower body lift using Artiss Fibrin Sealant in comparison to the standard procedure,2014-05-20,2014/08/08,Actual,2017/03/03,Arm 1,abdominoplasty / lower body lift using Artiss Fibrin Sealant,Arm 2,Standard abdominoplasty / lower body lift ,,,Primary Sponsor,Universität Leipzig,[---]*,[---]*,Contact for Scientific Queries,"Universitätsklinikum Leipzig AöRDepartment für operative Medizin (DOPM)Abteilung für Plastische, Ästhetische und spezielle Handchirurgie",Stefan,Langer,50,Recruiting stopped after recruiting started ,yes,Monocenter trial,,,,,,,,,,,,,,,
113,337,DRKS00003527,Magdeburg,1,Magdeburg,,https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00003527,no,26.02.2018,no,,,SW,"Ketamine in treatment resistant major depression (TRD) -<br/>A placebo controlled, double blind, randomized trial of efficacy, safety and response prediction by resting state fMRI<br/>",2012-03-07,2012/09/10,Actual,2016/04/22,Arm 1,"Patients in the verum group will receive a single intravenous ketamine hydrochloride injection (0.5mg/kg body weight, 50 ml over 40 minutes). <br/>diagnostic intervention: Resting state fMRI and MRS before and after administration will be assessed on a 7T MR scanner.",Arm 2,"healthy control subjects in the verum group will receive a single intravenous ketamine hydrochloride injection (0.5mg/kg body weight, 50 ml over 40 minutes). <br/>diagnostic intervention: Resting state fMRI and MRS before and after administration will be assessed on a 7T MR scanner.",Arm 3,Control treatment: patients allocated to the control group will receive placebo injections of 0.9 % saline (50 ml over 40 minutes) in the same fashion as the verum group,Primary Sponsor,Otto-von-Guericke University Magdeburg<br/>Medical Faculty,Hermann-Josef,Rothkötter,Contact for Scientific Queries,Clinic for Psychiatry and Psychotherapy<br/>Central Hospital Magdeburg,Martin,Walter,120,"Recruiting complete, follow-up complete",yes,Monocenter trial,Trial results,KETREST_Zusammenfassung_Abschlussbericht_20180226_final.pdf,Ketrest_Abschlussbericht_clinical trial report,,,,,,,,,,,,
258,339,DRKS00005683,Magdeburg,2,Magdeburg,10.1016/j.ebiom.2020.102712,https://www.sciencedirect.com/science/article/pii/S2352396420300876,yes,01.04.2020,no,,,SW,"""Smart insole for patients with diabetic neuropathy for the prevention of foot ulcers""",2014-01-27,2014/02/03,Actual,2016/05/26,Arm 1,"30 patients with sensorimotor neuropathy:<br/>Alternating between standing (pressure load for 5, 10 and 20 min) and in between a relief when sitting (5 min each), duplication",Arm 2,"30 healthy subjects without sensory-motor neuropathy:<br/>Alternating between standing (pressure load for 5, 10 and 20 min) and in between a relief when sitting (5 min each), duplication",,,Primary Sponsor,"Otto-von-Guericke Universität, Medizinsiche Fakultät",Hermann-Josef,Rothkötter,Contact for Scientific Queries,"Universitätsklinik für Nieren- und Hochdruckkrankheiten, Diabetologie und Endokrinologie",Peter R.,Mertens,60,"Recruiting complete, follow-up complete",yes,Monocenter trial,Trial results,Abschlussbericht_final_120617_komneu.pdf,Abschlussbericht,,,,,,,,,,,,
22,378,DRKS00004944,Munich,0,LMU,,,,,,,,NR,ALS-rules,2013-05-02,2013/11/08,Actual,2014/03/31,Arm 1,Group without intervention – conventional training for medical students with a cardiac arrest scenario in an OSCE  (Objective Structured Clinical Examinations),Arm 2,Group with intervention (ALS-rules) - conventional training for medical students with additional concise abstract using keywords in the educational script and finally a cardiac arrest scenario in an OSCE,Arm 3,Group with intervention (ALS-rules) - conventional training for medical students with additional charts in the educational script and finally a cardiac arrest scenario in an OSCE,Primary Sponsor,"Institut für Notfallmedizin und Medizinmanagement (INM), Klinikum der universität München",[---]*,[---]*,Contact for Scientific Queries,Klinikum der Universität München<br/>Institut für Notfallmedizin und Medizinmanagement<br/>Bereich Medizin,Oliver,Meyer,231,"Recruiting complete, follow-up complete",yes,Monocenter trial,Paper,[---]*,[---]*,,,,,,,,,,,,
376,384,DRKS00006093,Munich,2,LMU,,https://edoc.ub.uni-muenchen.de/26157/1/Schuetz_Swetlana.pdf,no,19.05.2020,yes,,Dissertation; publication date unclear,NR,Direct vs indirect Feedback during CPR Training,2014-04-28,2014/05/02,Actual,2014/07/25,Arm 1,Group with direct feedback – students see the manikin screen in real time,Arm 2,Group with indirect feedback – only the audience sees the manikin screen but give feedback on to the student in real time,,,Primary Sponsor,"Institut für Notfallmedizin und Medizinmanagement (INM), Klinikum der universität München",[---]*,[---]*,Contact for Scientific Queries,"Institut für Notfallmedizin und Medizinmanagement (INM), Klinikum der Universität München",Oliver,Meyer,240,"Recruiting complete, follow-up complete",yes,Monocenter trial,Paper,[---]*,[---]*,,,,,,,,,,,,
378,386,DRKS00006211,Munich,2,TU,10.1093/jn/nxx020 ,,yes,25.01.2018,yes,there was a dissertation on the trial that was published earlier (https://mediatum.ub.tum.de/1352971) not sure if we should prefer this one if there is a journal article,,NR,Impact of diet-induced obesity on gut barrier integrity and metabolic diseases in healthy subjects,2014-06-11,2013/04/30,Actual,2014/08/15,Arm 1,"24 healthy male subjects (BMI less or equal 25 kg/m²) receive an individually adapted diet for seven days with an excess of 1000kcal/day in addition to their individual total energy requirement. The macronutrient composition consists of 48 EN% fat (predominantly saturated fatty acids), 34 EN% carbohydrates and 18 EN% protein. Gut permeability, changes in gut microbiota, insulin sensitivity, peripheral immune cell sub-populations, blood pressure, pulse, metabolic rate, body composition, weight, blood parameters (fasting glucose, fasting insulin, liver function, kidney function, electrolyte, lipid profile, DNA, inflammation marker) will be measured before, after and 2 weeks after intervention.",,,,,Primary Sponsor,Bundesministerium für Bildung und Forschung Dienstsitz Berlin,[---]*,[---]*,Contact for Scientific Queries,Else Kröner-Fresenius-Zentrum für ErnährungsmedizinLehrstuhl für ErnährungsmedizinTechnische Universität München,Hans,Hauner,24,"Recruiting complete, follow-up complete",yes,Monocenter trial,,,,,,,,,,,,,,,
379,392,DRKS00009733,Munich,8,LMU,,https://n.neurology.org/content/86/16_Supplement/P2.351.short,no,04.04.2016,yes,only seems to be abstract; has not even a DOI,,NR,"Effects of Acetyl-DL-Leucine on cerebellar ataxia - a multinational, multicenter, randomized, double-blind, placebo-controlled, 2-way crossover phase III trial",2016-01-15,2016/01/25,Actual,2017/07/07,Arm 1,"Treatment with Acetyl-DL-Leucine (5 g daily) over a period of 4 weeks after a titration of dosage over a period of 2 weeks, complete duration of treatment 6 weeks. <br/>",Arm 2,Treatment with placebo over a period of 6 weeks,,,Primary Sponsor,"Klinikum der Universität München, Campus Großhadern",[---]*,[---]*,Contact for Scientific Queries,"Deutsches Zentrum für Schwindel- und Gleichgewichtsstörungen und Neurologische Klinik und Poliklinik, Campus Großhadern",Katharina,Feil,108,"Recruiting complete, follow-up complete",yes,Multicenter trial,,,,,,,,,,,,,,,
386,414,DRKS00013485,Rostock,3,Rostock,10.1111/1751-2980.12591,https://onlinelibrary.wiley.com/doi/full/10.1111/1751-2980.12591,yes,23.03.2018,no,,,MH,Influence of vitamin D administration on the intestinal bacterial composition in CD patients and healthy controls,2017-12-04,2016/11/15,Actual,2017/05/05,Arm 1,"Crohn's disease:<br/>The intervention was carried out by means of decristol 20,000 IU, every two days up to a target level between 100 and 150 nmol/l. At higher values, vitamin D substitution was suspended. The duration of the substitution was 4 weeks. ",Arm 2,"Healthy Controls:<br/>The intervention was carried out by means of decristol 20,000 IU, every two days up to a target level between 100 and 150 nmol/l. At higher values, vitamin D substitution was suspended. <br/>The duration of the substitution was 4 weeks. ",,,Primary Sponsor,Universitätsklinikum Rostock,Holger,Schäffler,Contact for Scientific Queries,Universitätsklinikum Rostock,Holger,Schäffler,17,"Recruiting complete, follow-up complete",yes,Monocenter trial,,,,,,,,,,,,,,,
149,442,DRKS00003979,Ulm,1,Ulm,10.1016/j.chiabu.2017.03.008,https://www.sciencedirect.com/science/article/pii/S014521341730100X,yes,31.03.2017,no,,,MH,Implementation and Evaluation of a Needs- and Community-Based Managed Mental Healthcare for Children and Adolescents after Abuse and Neglect - Case-Management Intervention Study,2012-07-03,2012/10/29,Actual,2017/05/04,Arm 1,"Case-Management: Allocation to a Case-Manager who is trained in acting as a broker and placing the underage CAN-child in appropriate therapy programs, to accompany the therapy process, to assist the child and its family in terms of upcoming adherence difficulties and to monitor therapy outcome.",Arm 2,Usual Care ,,,Primary Sponsor,Universitätsklinikum Ulm<br/>Klinik für Kinder- und Jugendpsychiatrie/Psychotherapie<br/><br/><br/>,Lutz,Goldbeck,Contact for Scientific Queries,Universitätsklinikum Ulm Klinik für Kinder- und Jugendpsychiatrie/Psychotherapie,Lutz,Goldbeck,152,"Recruiting complete, follow-up complete",yes,Multicenter trial,Paper,http://www.sciencedirect.com/science/article/pii/S014521341730100X,"Publikation im Journal of Child Abuse and Neglect: Effectiveness of manualized case management on utilization of evidence-based treatments for children and adolescents after maltreatment: A randomized controlled trial  von Helene Gertrud Ganser, Annika Münzer, Andreas Witt, Paul Lukas Plener, Rainer Muche, Rita Rosner, Maria Hagl, Lutz Goldbeck",Paper,https://www.ncbi.nlm.nih.gov/pubmed/25832576,"Publikation in der Fachzeitschrift Praxis der Kinderpsychologie und Kinderpsychiatrie: Verbesserter Zugang zu evidenzbasierten Therapien für psychisch kranke Kinder und Jugendliche nach Kindesmisshandlung und -missbrauch von Helene G. Ganser, Annika Münzer, Diana C. M. Seitz, Andreas Witt und Lutz Goldbeck",,,,,,,,,
151,452,DRKS00012927,Ulm,1,Ulm,,https://ijcd.quintessenz.de/index.php?doc=abstract&abstractID=40712,yes,21.06.2018,no,,worst journal website ever (predatory?) - I did not even find a doi!,MH,Template-guided implantation of one-piece ceramic implants.<br/>A prospective clinical pilot study.<br/>,2017-09-07,2017/09/18,Actual,2017/12/18,Arm 1,"Template-guided implantation of one-piece full-ceramic implants with a new, sleeveless drilling template.<br/>",,,,,Primary Sponsor,"Universitätsklinikum Ulm/Studienleiter: Prof. Dr. Ralph G. Luthardt, Klinik für Zahnärztliche Prothetik",[---]*,[---]*,Contact for Scientific Queries,"Private Praxis und Universitätsklinikum Ulm, Klinik für Zahnärztliche Prothetik",Sigmar,Schnutenhaus,12,"Recruiting complete, follow-up complete",yes,Monocenter trial,Paper,[---]*,"Precision of sleevless 3D drill guides for insertion of one-piece ceramic implants: a prospective clinical trial. S. Schnutenhaus, V. von Koenigsmarck, S. Blender, L. Ambrosius, R.G. Luthardt, H. Rudplph (2018), International Journal of Computerized Dentistry: 97-105",,,,,,,,,,,,
401,201,DRKS00005035,Hamburg,3,yes,10.1159/000505913,https://www.karger.com/Article/Pdf/505913 ,yes,19.02.2020,no,,,TB,Allocation of patients with alcohol use disorders to appropriate levels of care according to a decision algorithm based on a standardized intake assessment,2013-06-03,2013/06/09,Actual,2014/12/23,Arm 1,"The patients get an 75-minute interview, which gives treatment recommendations (MATE, Schippers et al., 2011). This interview will take place one week after admission, when somatic detoxification has been done. To evaluate health care costs, the Client Sociodemographic and Service Receipt Inventory (CSSRI; Chisholm et al., 2000) will be applied. For evaluating psychological aspects the rehabilitee management categories will be given to the patient as questionnaire (RMK; Spyra et al., 2011). The EQ-5D will be applied to asses quality of life (Prieto et al., 2003). Patients of the intervention group and the clinical staff will receive a feedback session about the results and the MATE-LOC recommendations. A feedback session will take place with the interviewer and the patient where the results and the recommendationwill be explained to the patient. Interviewer and patient will discuss the results and both will agree on one treatment for the patient together.",Arm 2,"After completing a 75 minute interview (MATE; CSSRI; Chisholm et al., 2000; EQ-5D; Prieto et al., 2003) and a questionnaire (RMK; Sprya et al., 2011), patients of the control group and the clinical staff will receive a written evaluation of the general results of the MATE interview, if patients want to know, but without a standardized treatment recommendation. A treatment recommendation will be given to the patients as the therapists usually do. ",,,Primary Sponsor,Universitätsklinikum Hamburg-Eppendorf <br/>Insitut und Poliklinik für Medizinische Psychologie,Angela,Buchholz,Contact for Scientific Queries,Universitätsklinikum Hamburg-Eppendorf<br/>Institut und Poliklinik für Medizinische Psychologie,Angela,Buchholz,286,"Recruiting complete, follow-up complete",yes,Multicenter trial,,,,,,,,,,,,,,,
421,269,DRKS00000741,Jena,3,yes,10.1001/jama.2016.7207,https://pubmed.ncbi.nlm.nih.gov/27367877/ ,yes,28.06.2016,no,,,TB,Sepsis survivors Monitoring and coordination in Outpatient Health care,2011-03-02,2011/02/28,Actual,2015/12/31,Arm 1,control group: usual care,Arm 2,"Patients of the intervention group will receive for 12 month in total a specific Disease Management Program, consisting of discharge management, patient monitoring for main sepsis complications and education of patients and treating family physicians in sepsis sequelae ",,,Primary Sponsor,Institut für Allgemeinmedizin der Friedrich Schiller Universität Jena,Jochen,Gensichen,Contact for Scientific Queries,"Institut für Allgemeinmedizin<br/>Universitätsklinikum Jena, Friedrich-Schiller-Universität",Konrad,Schmidt,290,"Recruiting complete, follow-up complete",yes,Multicenter trial,,,,,,,,,,,,,,,
419,266,DRKS00007781,Homburg,3,yes,10.1159/000502008,https://www.karger.com/Article/Abstract/502008 ,yes,01.10.2019,no,,,TB,Effect of dietary lipid modification on nonalcoholic fatty liver disease in carriers of the PNPLA3 I148M genetic variant: an open label trial,2015-03-25,2015/03/27,Actual,2016/12/20,Arm 1,"After following a two week run-in phase, subjects will be given omega 3 supplements (4g p.o. contained in 1 tablet daily) for 4 weeks.",,,,,Primary Sponsor,Saarland University Medical Center,Frank,Lammert,Contact for Scientific Queries,Saarland University Medical Center,Caroline,Stokes,20,"Recruiting complete, follow-up complete",yes,Monocenter trial,,,,,,,,,,,,,,,


953,Verifying an Alien Dictionary,54.1%,Easy,3.672929743430384, https://leetcode.com/problems/verifying-an-alien-dictionary
1249,Minimum Remove to Make Valid Parentheses,62.5%,Medium,3.495670386899169, https://leetcode.com/problems/minimum-remove-to-make-valid-parentheses
973,K Closest Points to Origin,63.8%,Medium,3.3184110303679546, https://leetcode.com/problems/k-closest-points-to-origin
238,Product of Array Except Self,60.1%,Medium,3.283232213950597, https://leetcode.com/problems/product-of-array-except-self
301,Remove Invalid Parentheses,43.3%,Hard,3.2812706407880663, https://leetcode.com/problems/remove-invalid-parentheses
680,Valid Palindrome II,36.6%,Easy,3.271459420826784, https://leetcode.com/problems/valid-palindrome-ii
560,Subarray Sum Equals K,43.9%,Medium,3.2328873827137383, https://leetcode.com/problems/subarray-sum-equals-k
273,Integer to English Words,27.1%,Hard,3.0556280261825237, https://leetcode.com/problems/integer-to-english-words
269,Alien Dictionary,33.3%,Hard,2.878368669651309, https://leetcode.com/problems/alien-dictionary
415,Add Strings,47.5%,Easy,2.7192844822779243, https://leetcode.com/problems/add-strings
158,Read N Characters Given Read4 II - Call multiple times,33.8%,Hard,2.5420251257467097, https://leetcode.com/problems/read-n-characters-given-read4-ii-call-multiple-times
124,Binary Tree Maximum Path Sum,34.3%,Hard,2.5244353385109877, https://leetcode.com/problems/binary-tree-maximum-path-sum
297,Serialize and Deserialize Binary Tree,47.5%,Hard,2.4916605427137495, https://leetcode.com/problems/serialize-and-deserialize-binary-tree
199,Binary Tree Right Side View,54.1%,Medium,2.4876454517631963, https://leetcode.com/problems/binary-tree-right-side-view
438,Find All Anagrams in a String,43.3%,Medium,2.397524297872021, https://leetcode.com/problems/find-all-anagrams-in-a-string
211,Add and Search Word - Data structure design,38.1%,Medium,2.3759545223677563, https://leetcode.com/problems/add-and-search-word-data-structure-design
278,First Bad Version,35.7%,Easy,2.1986951658365417, https://leetcode.com/problems/first-bad-version
523,Continuous Subarray Sum,24.6%,Medium,2.166716009367632, https://leetcode.com/problems/continuous-subarray-sum
23,Merge k Sorted Lists,40.2%,Hard,2.1408121493810057, https://leetcode.com/problems/merge-k-sorted-lists
125,Valid Palindrome,36.7%,Easy,2.10463501498305, https://leetcode.com/problems/valid-palindrome
426,Convert Binary Search Tree to Sorted Doubly Linked List,59.1%,Medium,2.0376808407812033, https://leetcode.com/problems/convert-binary-search-tree-to-sorted-doubly-linked-list
173,Binary Search Tree Iterator,56.6%,Medium,2.0078306132610235, https://leetcode.com/problems/binary-search-tree-iterator
67,Add Binary,45.2%,Easy,2.0006884437372294, https://leetcode.com/problems/add-binary
282,Expression Add Operators,35.5%,Hard,1.9743024644234966, https://leetcode.com/problems/expression-add-operators
340,Longest Substring with At Most K Distinct Characters,44.1%,Hard,1.9268050203671723, https://leetcode.com/problems/longest-substring-with-at-most-k-distinct-characters
215,Kth Largest Element in an Array,55.4%,Medium,1.9162899009936014, https://leetcode.com/problems/kth-largest-element-in-an-array
543,Diameter of Binary Tree,48.4%,Easy,1.9159403034429063, https://leetcode.com/problems/diameter-of-binary-tree
636,Exclusive Time of Functions,51.9%,Medium,1.9144673183856245, https://leetcode.com/problems/exclusive-time-of-functions
65,Valid Number,15.3%,Hard,1.8249221481329196, https://leetcode.com/problems/valid-number
986,Interval List Intersections,67.3%,Medium,1.7606773319042146, https://leetcode.com/problems/interval-list-intersections
76,Minimum Window Substring,34.6%,Hard,1.7452444146734871, https://leetcode.com/problems/minimum-window-substring
1428,Leftmost Column with at Least a One,46.8%,Medium,1.7410939458816417, https://leetcode.com/problems/leftmost-column-with-at-least-a-one
398,Random Pick Index,56.0%,Medium,1.739251464947996, https://leetcode.com/problems/random-pick-index
938,Range Sum of BST,81.3%,Easy,1.7183278125336303, https://leetcode.com/problems/range-sum-of-bst
311,Sparse Matrix Multiplication,61.9%,Medium,1.6183865180101145, https://leetcode.com/problems/sparse-matrix-multiplication
270,Closest Binary Search Tree Value,48.5%,Easy,1.586376093728572, https://leetcode.com/problems/closest-binary-search-tree-value
689,Maximum Sum of 3 Non-Overlapping Subarrays,46.3%,Hard,1.5757403799369294, https://leetcode.com/problems/maximum-sum-of-3-non-overlapping-subarrays
56,Merge Intervals,39.3%,Medium,1.5421333498120642, https://leetcode.com/problems/merge-intervals
31,Next Permutation,32.6%,Medium,1.4952605643210366, https://leetcode.com/problems/next-permutation
139,Word Break,40.1%,Medium,1.4806418655886273, https://leetcode.com/problems/word-break
987,Vertical Order Traversal of a Binary Tree,36.6%,Medium,1.4752728801959076, https://leetcode.com/problems/vertical-order-traversal-of-a-binary-tree
133,Clone Graph,34.8%,Medium,1.4511392078839955, https://leetcode.com/problems/clone-graph
34,Find First and Last Position of Element in Sorted Array,36.2%,Medium,1.4396247937745372, https://leetcode.com/problems/find-first-and-last-position-of-element-in-sorted-array
71,Simplify Path,32.6%,Medium,1.4382022207219085, https://leetcode.com/problems/simplify-path
88,Merge Sorted Array,39.4%,Easy,1.4313521714101423, https://leetcode.com/problems/merge-sorted-array
896,Monotonic Array,57.9%,Easy,1.4253001116063013, https://leetcode.com/problems/monotonic-array
785,Is Graph Bipartite?,47.5%,Medium,1.4051826456400964, https://leetcode.com/problems/is-graph-bipartite
721,Accounts Merge,48.8%,Medium,1.3810374792408489, https://leetcode.com/problems/accounts-merge
349,Intersection of Two Arrays,62.5%,Easy,1.3262693184793644, https://leetcode.com/problems/intersection-of-two-arrays
29,Divide Two Integers,16.4%,Medium,1.3132705131849702, https://leetcode.com/problems/divide-two-integers
249,Group Shifted Strings,55.1%,Medium,1.2602327507507307, https://leetcode.com/problems/group-shifted-strings
339,Nested List Weight Sum,74.0%,Easy,1.2338014599366327, https://leetcode.com/problems/nested-list-weight-sum
314,Binary Tree Vertical Order Traversal,45.3%,Medium,1.2247904974214212, https://leetcode.com/problems/binary-tree-vertical-order-traversal
1060,Missing Element in Sorted Array,54.5%,Medium,1.2015522948374056, https://leetcode.com/problems/missing-element-in-sorted-array
42,Trapping Rain Water,48.9%,Hard,1.195895799454225, https://leetcode.com/problems/trapping-rain-water
767,Reorganize String,48.7%,Medium,1.182457868492389, https://leetcode.com/problems/reorganize-string
708,Insert into a Sorted Circular Linked List,31.6%,Medium,1.172343257989845, https://leetcode.com/problems/insert-into-a-sorted-circular-linked-list
958,Check Completeness of a Binary Tree,52.1%,Medium,1.1632195643177228, https://leetcode.com/problems/check-completeness-of-a-binary-tree
1197,Minimum Knight Moves,36.1%,Medium,1.1562032194143523, https://leetcode.com/problems/minimum-knight-moves
236,Lowest Common Ancestor of a Binary Tree,45.7%,Medium,1.0938757493214366, https://leetcode.com/problems/lowest-common-ancestor-of-a-binary-tree
528,Random Pick with Weight,43.9%,Medium,1.0906112458600137, https://leetcode.com/problems/random-pick-with-weight
253,Meeting Rooms II,45.7%,Medium,1.0814304382893596, https://leetcode.com/problems/meeting-rooms-ii
380,Insert Delete GetRandom O(1),47.5%,Medium,1.0764926440989369, https://leetcode.com/problems/insert-delete-getrandom-o1
670,Maximum Swap,43.6%,Medium,1.0650556866604306, https://leetcode.com/problems/maximum-swap
33,Search in Rotated Sorted Array,34.5%,Medium,1.0520357838367607, https://leetcode.com/problems/search-in-rotated-sorted-array
766,Toeplitz Matrix,65.1%,Easy,0.9808292530117262, https://leetcode.com/problems/toeplitz-matrix
146,LRU Cache,33.2%,Medium,0.980036431607266, https://leetcode.com/problems/lru-cache
825,Friends Of Appropriate Ages,42.7%,Medium,0.9548282098825729, https://leetcode.com/problems/friends-of-appropriate-ages
824,Goat Latin,63.4%,Easy,0.949028440149358, https://leetcode.com/problems/goat-latin
498,Diagonal Traverse,48.2%,Medium,0.9448109538225702, https://leetcode.com/problems/diagonal-traverse
304,Range Sum Query 2D - Immutable,38.6%,Medium,0.9339964539142727, https://leetcode.com/problems/range-sum-query-2d-immutable
227,Basic Calculator II,36.9%,Medium,0.9201510193402352, https://leetcode.com/problems/basic-calculator-ii
286,Walls and Gates,54.5%,Medium,0.9182875611040503, https://leetcode.com/problems/walls-and-gates
98,Validate Binary Search Tree,27.8%,Medium,0.9132791260666902, https://leetcode.com/problems/validate-binary-search-tree
138,Copy List with Random Pointer,36.4%,Medium,0.9130873453663271, https://leetcode.com/problems/copy-list-with-random-pointer
43,Multiply Strings,33.9%,Medium,0.8901363256144234, https://leetcode.com/problems/multiply-strings
616,Add Bold Tag in String,43.1%,Medium,0.8724465334959766, https://leetcode.com/problems/add-bold-tag-in-string
921,Minimum Add to Make Parentheses Valid,73.7%,Medium,0.869631484642747, https://leetcode.com/problems/minimum-add-to-make-parentheses-valid
1123,Lowest Common Ancestor of Deepest Leaves,66.8%,Medium,0.8548064280870838, https://leetcode.com/problems/lowest-common-ancestor-of-deepest-leaves
1026,Maximum Difference Between Node and Ancestor,66.0%,Medium,0.8326883967450455, https://leetcode.com/problems/maximum-difference-between-node-and-ancestor
621,Task Scheduler,50.1%,Medium,0.830630807901992, https://leetcode.com/problems/task-scheduler
200,Number of Islands,46.8%,Medium,0.8225189427311105, https://leetcode.com/problems/number-of-islands
1216,Valid Palindrome III,47.8%,Hard,0.8187244879431477, https://leetcode.com/problems/valid-palindrome-iii
863,All Nodes Distance K in Binary Tree,55.4%,Medium,0.8044965676039516, https://leetcode.com/problems/all-nodes-distance-k-in-binary-tree
109,Convert Sorted List to Binary Search Tree,47.7%,Medium,0.778490500448878, https://leetcode.com/problems/convert-sorted-list-to-binary-search-tree
317,Shortest Distance from All Buildings,41.4%,Hard,0.7748252115742125, https://leetcode.com/problems/shortest-distance-from-all-buildings
419,Battleships in a Board,70.0%,Medium,0.734450986701181, https://leetcode.com/problems/battleships-in-a-board
246,Strobogrammatic Number,45.0%,Easy,0.6935606599952345, https://leetcode.com/problems/strobogrammatic-number
247,Strobogrammatic Number II,47.6%,Medium,0.6864254931685857, https://leetcode.com/problems/strobogrammatic-number-ii
143,Reorder List,37.1%,Medium,0.6644936178538985, https://leetcode.com/problems/reorder-list
658,Find K Closest Elements,40.9%,Medium,0.6638270433029843, https://leetcode.com/problems/find-k-closest-elements
157,Read N Characters Given Read4,34.2%,Easy,0.6437780586849429, https://leetcode.com/problems/read-n-characters-given-read4
839,Similar String Groups,38.6%,Hard,0.6425949013971141, https://leetcode.com/problems/similar-string-groups
432,All O`one Data Structure,32.4%,Hard,0.6277764653542548, https://leetcode.com/problems/all-oone-data-structure
480,Sliding Window Median,37.2%,Hard,0.6193030606504982, https://leetcode.com/problems/sliding-window-median
162,Find Peak Element,43.3%,Medium,0.6111183749147795, https://leetcode.com/problems/find-peak-element
10,Regular Expression Matching,26.8%,Hard,0.5850984373117593, https://leetcode.com/problems/regular-expression-matching
463,Island Perimeter,65.7%,Easy,0.5846665375658754, https://leetcode.com/problems/island-perimeter
1004,Max Consecutive Ones III,59.1%,Medium,0.5826782301065547, https://leetcode.com/problems/max-consecutive-ones-iii
126,Word Ladder II,22.1%,Hard,0.5693600008081126, https://leetcode.com/problems/word-ladder-ii
277,Find the Celebrity,41.8%,Medium,0.5616591289700842, https://leetcode.com/problems/find-the-celebrity
452,Minimum Number of Arrows to Burst Balloons,49.6%,Medium,0.5584397574369148, https://leetcode.com/problems/minimum-number-of-arrows-to-burst-balloons
22,Generate Parentheses,62.7%,Medium,0.553101106914229, https://leetcode.com/problems/generate-parentheses
494,Target Sum,46.3%,Medium,0.537605099367259, https://leetcode.com/problems/target-sum
865,Smallest Subtree with all the Deepest Nodes,60.8%,Medium,0.5360733767570822, https://leetcode.com/problems/smallest-subtree-with-all-the-deepest-nodes
647,Palindromic Substrings,60.6%,Medium,0.5122882232745292, https://leetcode.com/problems/palindromic-substrings
378,Kth Smallest Element in a Sorted Matrix,54.3%,Medium,0.5057807371350349, https://leetcode.com/problems/kth-smallest-element-in-a-sorted-matrix
1094,Car Pooling,56.7%,Medium,0.5042466526679481, https://leetcode.com/problems/car-pooling
15,3Sum,26.8%,Medium,0.4923847546019265, https://leetcode.com/problems/3sum
1027,Longest Arithmetic Sequence,53.4%,Medium,0.48432368302048406, https://leetcode.com/problems/longest-arithmetic-sequence
348,Design Tic-Tac-Toe,54.3%,Medium,0.47793775692115553, https://leetcode.com/problems/design-tic-tac-toe
140,Word Break II,32.6%,Hard,0.4761853504191846, https://leetcode.com/problems/word-break-ii
93,Restore IP Addresses,35.6%,Medium,0.47237108409270245, https://leetcode.com/problems/restore-ip-addresses
772,Basic Calculator III,41.3%,Hard,0.462623521948113, https://leetcode.com/problems/basic-calculator-iii
540,Single Element in a Sorted Array,57.9%,Medium,0.46172503314573243, https://leetcode.com/problems/single-element-in-a-sorted-array
1213,Intersection of Three Sorted Arrays,78.9%,Easy,0.45778473187961194, https://leetcode.com/problems/intersection-of-three-sorted-arrays
1269,Number of Ways to Stay in the Same Place After Some Steps,43.2%,Hard,0.4557571315683002, https://leetcode.com/problems/number-of-ways-to-stay-in-the-same-place-after-some-steps
329,Longest Increasing Path in a Matrix,43.4%,Hard,0.4510648782793416, https://leetcode.com/problems/longest-increasing-path-in-a-matrix
529,Minesweeper,59.1%,Medium,0.4410244101446512, https://leetcode.com/problems/minesweeper
91,Decode Ways,24.7%,Medium,0.43194955048493294, https://leetcode.com/problems/decode-ways
490,The Maze,51.4%,Medium,0.4296321995074925, https://leetcode.com/problems/the-maze
1,Two Sum,45.6%,Easy,0.42776342069905027, https://leetcode.com/problems/two-sum
50,Pow(x;n),30.3%,Medium,0.4274653596092084, https://leetcode.com/problems/powx-n
224,Basic Calculator,36.8%,Hard,0.42504615330727086, https://leetcode.com/problems/basic-calculator
1233,Remove Sub-Folders from the Filesystem,59.5%,Medium,0.4243747624654565, https://leetcode.com/problems/remove-sub-folders-from-the-filesystem
350,Intersection of Two Arrays II,51.4%,Easy,0.42028659580670896, https://leetcode.com/problems/intersection-of-two-arrays-ii
257,Binary Tree Paths,51.5%,Easy,0.4154891624073732, https://leetcode.com/problems/binary-tree-paths
8,String to Integer (atoi),15.4%,Medium,0.407141925712164, https://leetcode.com/problems/string-to-integer-atoi
163,Missing Ranges,24.3%,Medium,0.4067714440222198, https://leetcode.com/problems/missing-ranges
568,Maximum Vacation Days,40.8%,Hard,0.4036217896138752, https://leetcode.com/problems/maximum-vacation-days
364,Nested List Weight Sum II,62.8%,Medium,0.3968580334554196, https://leetcode.com/problems/nested-list-weight-sum-ii
791,Custom Sort String,65.7%,Medium,0.3900345348815187, https://leetcode.com/problems/custom-sort-string
939,Minimum Area Rectangle,51.8%,Medium,0.3885265923801231, https://leetcode.com/problems/minimum-area-rectangle
678,Valid Parenthesis String,31.0%,Medium,0.38202577837362234, https://leetcode.com/problems/valid-parenthesis-string
934,Shortest Bridge,48.2%,Medium,0.3715318913226816, https://leetcode.com/problems/shortest-bridge
121,Best Time to Buy and Sell Stock,50.5%,Easy,0.3695140839999301, https://leetcode.com/problems/best-time-to-buy-and-sell-stock
114,Flatten Binary Tree to Linked List,49.3%,Medium,0.3666595336863693, https://leetcode.com/problems/flatten-binary-tree-to-linked-list
408,Valid Word Abbreviation,30.6%,Easy,0.36101334553733055, https://leetcode.com/problems/valid-word-abbreviation
127,Word Ladder,29.6%,Medium,0.35996786713577755, https://leetcode.com/problems/word-ladder
855,Exam Room,43.1%,Medium,0.34442921752179523, https://leetcode.com/problems/exam-room
341,Flatten Nested List Iterator,52.9%,Medium,0.3426517489923298, https://leetcode.com/problems/flatten-nested-list-iterator
78,Subsets,62.0%,Medium,0.34168366615845647, https://leetcode.com/problems/subsets
963,Minimum Area Rectangle II,50.9%,Medium,0.3416302106614813, https://leetcode.com/problems/minimum-area-rectangle-ii
400,Nth Digit,31.7%,Medium,0.33647223662121295, https://leetcode.com/problems/nth-digit
3,Longest Substring Without Repeating Characters,30.4%,Medium,0.33543751206600453, https://leetcode.com/problems/longest-substring-without-repeating-characters
333,Largest BST Subtree,35.8%,Medium,0.32931497055013925, https://leetcode.com/problems/largest-bst-subtree
827,Making A Large Island,45.7%,Hard,0.32879599515977564, https://leetcode.com/problems/making-a-large-island
695,Max Area of Island,62.7%,Medium,0.32657434158263016, https://leetcode.com/problems/max-area-of-island
266,Palindrome Permutation,61.9%,Easy,0.32365154819215153, https://leetcode.com/problems/palindrome-permutation
381,Insert Delete GetRandom O(1) - Duplicates allowed,34.1%,Hard,0.32306557634109756, https://leetcode.com/problems/insert-delete-getrandom-o1-duplicates-allowed
844,Backspace String Compare,46.4%,Easy,0.32306557634109756, https://leetcode.com/problems/backspace-string-compare
692,Top K Frequent Words,51.8%,Medium,0.31457116512531025, https://leetcode.com/problems/top-k-frequent-words
549,Binary Tree Longest Consecutive Sequence II,47.0%,Medium,0.31383478526224007, https://leetcode.com/problems/binary-tree-longest-consecutive-sequence-ii
1242,Web Crawler Multithreaded,45.9%,Medium,0.30961714931803663, https://leetcode.com/problems/web-crawler-multithreaded
207,Course Schedule,43.1%,Medium,0.3071480068014249, https://leetcode.com/problems/course-schedule
536,Construct Binary Tree from String,48.3%,Medium,0.303629619668917, https://leetcode.com/problems/construct-binary-tree-from-string
1245,Tree Diameter,60.1%,Medium,0.29849298855599654, https://leetcode.com/problems/tree-diameter
332,Reconstruct Itinerary,36.7%,Medium,0.29733066556761284, https://leetcode.com/problems/reconstruct-itinerary
936,Stamping The Sequence,42.8%,Hard,0.2972515234679316, https://leetcode.com/problems/stamping-the-sequence
161,One Edit Distance,32.3%,Medium,0.28698931177288023, https://leetcode.com/problems/one-edit-distance
875,Koko Eating Bananas,52.1%,Medium,0.28493103907989104, https://leetcode.com/problems/koko-eating-bananas
32,Longest Valid Parentheses,28.4%,Hard,0.28481756175632106, https://leetcode.com/problems/longest-valid-parentheses
1424,Diagonal Traverse II,42.4%,Medium,0.28406186115878557, https://leetcode.com/problems/diagonal-traverse-ii
166,Fraction to Recurring Decimal,21.6%,Medium,0.2819404298841057, https://leetcode.com/problems/fraction-to-recurring-decimal
548,Split Array with Equal Sum,46.4%,Medium,0.2761315220005779, https://leetcode.com/problems/split-array-with-equal-sum
92,Reverse Linked List II,38.8%,Medium,0.27542168553536034, https://leetcode.com/problems/reverse-linked-list-ii
977,Squares of a Sorted Array,72.1%,Easy,0.2744368457017603, https://leetcode.com/problems/squares-of-a-sorted-array
347,Top K Frequent Elements,61.2%,Medium,0.272004511442638, https://leetcode.com/problems/top-k-frequent-elements
609,Find Duplicate File in System,59.5%,Medium,0.25388017696233983, https://leetcode.com/problems/find-duplicate-file-in-system
111,Minimum Depth of Binary Tree,37.4%,Easy,0.24735812724870243, https://leetcode.com/problems/minimum-depth-of-binary-tree
622,Design Circular Queue,43.8%,Medium,0.2454927324105261, https://leetcode.com/problems/design-circular-queue
1032,Stream of Characters,48.3%,Hard,0.24287879543594265, https://leetcode.com/problems/stream-of-characters
240,Search a 2D Matrix II,43.2%,Medium,0.24218097481422138, https://leetcode.com/problems/search-a-2d-matrix-ii
57,Insert Interval,33.5%,Hard,0.23697938397356041, https://leetcode.com/problems/insert-interval
416,Partition Equal Subset Sum,43.7%,Medium,0.23420537108328685, https://leetcode.com/problems/partition-equal-subset-sum
742,Closest Leaf in a Binary Tree,43.6%,Medium,0.23361485118150516, https://leetcode.com/problems/closest-leaf-in-a-binary-tree
129,Sum Root to Leaf Numbers,49.1%,Medium,0.2308064240597789, https://leetcode.com/problems/sum-root-to-leaf-numbers
334,Increasing Triplet Subsequence,40.0%,Medium,0.23032129090902695, https://leetcode.com/problems/increasing-triplet-subsequence
73,Set Matrix Zeroes,43.1%,Medium,0.22588530142358976, https://leetcode.com/problems/set-matrix-zeroes
428,Serialize and Deserialize N-ary Tree,59.4%,Hard,0.22567199766756846, https://leetcode.com/problems/serialize-and-deserialize-n-ary-tree
2,Add Two Numbers,33.9%,Medium,0.21782267725557036, https://leetcode.com/problems/add-two-numbers
39,Combination Sum,56.1%,Medium,0.21687574090953024, https://leetcode.com/problems/combination-sum
515,Find Largest Value in Each Tree Row,61.1%,Medium,0.21199732494007123, https://leetcode.com/problems/find-largest-value-in-each-tree-row
283,Move Zeroes,57.8%,Easy,0.21030412725932263, https://leetcode.com/problems/move-zeroes
117,Populating Next Right Pointers in Each Node II,39.1%,Medium,0.20860539286818253, https://leetcode.com/problems/populating-next-right-pointers-in-each-node-ii
20,Valid Parentheses,39.0%,Easy,0.20727582199587388, https://leetcode.com/problems/valid-parentheses
983,Minimum Cost For Tickets,60.5%,Medium,0.2028261131996316, https://leetcode.com/problems/minimum-cost-for-tickets
19,Remove Nth Node From End of List,35.2%,Medium,0.20099276793124013, https://leetcode.com/problems/remove-nth-node-from-end-of-list
352,Data Stream as Disjoint Intervals,47.3%,Hard,0.1980128865886302, https://leetcode.com/problems/data-stream-as-disjoint-intervals
637,Average of Levels in Binary Tree,63.1%,Easy,0.1972664368553499, https://leetcode.com/problems/average-of-levels-in-binary-tree
214,Shortest Palindrome,29.8%,Hard,0.19671029424605424, https://leetcode.com/problems/shortest-palindrome
53,Maximum Subarray,46.5%,Easy,0.19634219774637035, https://leetcode.com/problems/maximum-subarray
272,Closest Binary Search Tree Value II,50.5%,Hard,0.1920777317393193, https://leetcode.com/problems/closest-binary-search-tree-value-ii
75,Sort Colors,47.3%,Medium,0.19182745017125022, https://leetcode.com/problems/sort-colors
358,Rearrange String k Distance Apart,34.9%,Hard,0.19004360288786493, https://leetcode.com/problems/rearrange-string-k-distance-apart
5,Longest Palindromic Substring,29.5%,Medium,0.18726302339313927, https://leetcode.com/problems/longest-palindromic-substring
969,Pancake Sorting,67.5%,Medium,0.18336922582639836, https://leetcode.com/problems/pancake-sorting
1091,Shortest Path in Binary Matrix,38.2%,Medium,0.18312509239363786, https://leetcode.com/problems/shortest-path-in-binary-matrix
323,Number of Connected Components in an Undirected Graph,56.0%,Medium,0.18178978331691914, https://leetcode.com/problems/number-of-connected-components-in-an-undirected-graph
759,Employee Free Time,66.3%,Hard,0.1816986978513639, https://leetcode.com/problems/employee-free-time
388,Longest Absolute File Path,41.8%,Medium,0.18128582392042256, https://leetcode.com/problems/longest-absolute-file-path
40,Combination Sum II,48.2%,Medium,0.1780616138489939, https://leetcode.com/problems/combination-sum-ii
336,Palindrome Pairs,33.7%,Hard,0.17569702187832992, https://leetcode.com/problems/palindrome-pairs
319,Bulb Switcher,45.4%,Medium,0.1734438827619372, https://leetcode.com/problems/bulb-switcher
567,Permutation in String,44.4%,Medium,0.16931057302189864, https://leetcode.com/problems/permutation-in-string
116,Populating Next Right Pointers in Each Node,45.2%,Medium,0.16897814162027025, https://leetcode.com/problems/populating-next-right-pointers-in-each-node
325,Maximum Size Subarray Sum Equals k,46.8%,Medium,0.16882086957505205, https://leetcode.com/problems/maximum-size-subarray-sum-equals-k
102,Binary Tree Level Order Traversal,54.6%,Medium,0.16435828678782985, https://leetcode.com/problems/binary-tree-level-order-traversal
46,Permutations,63.5%,Medium,0.16425503646428852, https://leetcode.com/problems/permutations
280,Wiggle Sort,63.8%,Medium,0.16413412381144152, https://leetcode.com/problems/wiggle-sort
242,Valid Anagram,56.9%,Easy,0.1620140669319784, https://leetcode.com/problems/valid-anagram
724,Find Pivot Index,44.0%,Easy,0.15773063591797515, https://leetcode.com/problems/find-pivot-index
676,Implement Magic Dictionary,54.5%,Medium,0.15104025741286586, https://leetcode.com/problems/implement-magic-dictionary
230,Kth Smallest Element in a BST,60.2%,Medium,0.1474770794572995, https://leetcode.com/problems/kth-smallest-element-in-a-bst
328,Odd Even Linked List,55.7%,Medium,0.14442996827561513, https://leetcode.com/problems/odd-even-linked-list
74,Search a 2D Matrix,36.5%,Medium,0.13990475142949543, https://leetcode.com/problems/search-a-2d-matrix
160,Intersection of Two Linked Lists,40.6%,Easy,0.13857026686146906, https://leetcode.com/problems/intersection-of-two-linked-lists
1209,Remove All Adjacent Duplicates in String II,56.9%,Medium,0.13712574822724946, https://leetcode.com/problems/remove-all-adjacent-duplicates-in-string-ii
295,Find Median from Data Stream,44.3%,Hard,0.13508385924075386, https://leetcode.com/problems/find-median-from-data-stream
442,Find All Duplicates in an Array,67.8%,Medium,0.13441180353979212, https://leetcode.com/problems/find-all-duplicates-in-an-array
449,Serialize and Deserialize BST,52.0%,Medium,0.1327502812764459, https://leetcode.com/problems/serialize-and-deserialize-bst
730,Count Different Palindromic Subsequences,41.8%,Hard,0.13133600206108695, https://leetcode.com/problems/count-different-palindromic-subsequences
305,Number of Islands II,40.1%,Hard,0.1304306149462744, https://leetcode.com/problems/number-of-islands-ii
885,Spiral Matrix III,69.4%,Medium,0.1271551754852466, https://leetcode.com/problems/spiral-matrix-iii
54,Spiral Matrix,34.1%,Medium,0.12572728493821236, https://leetcode.com/problems/spiral-matrix
694,Number of Distinct Islands,56.0%,Medium,0.12516314295400602, https://leetcode.com/problems/number-of-distinct-islands
1146,Snapshot Array,37.0%,Medium,0.12154546954921416, https://leetcode.com/problems/snapshot-array
1439,Find the Kth Smallest Sum of a Matrix With Sorted Rows,59.5%,Hard,0.11918851726511835, https://leetcode.com/problems/find-the-kth-smallest-sum-of-a-matrix-with-sorted-rows
284,Peeking Iterator,45.7%,Medium,0.11901099827011974, https://leetcode.com/problems/peeking-iterator
776,Split BST,55.8%,Medium,0.11641035184441127, https://leetcode.com/problems/split-bst
435,Non-overlapping Intervals,42.9%,Medium,0.1158164666843426, https://leetcode.com/problems/non-overlapping-intervals
1275,Find Winner on a Tic Tac Toe Game,52.8%,Easy,0.11536465479210183, https://leetcode.com/problems/find-winner-on-a-tic-tac-toe-game
212,Word Search II,34.9%,Hard,0.11439698130007839, https://leetcode.com/problems/word-search-ii
674,Longest Continuous Increasing Subsequence,45.9%,Easy,0.11324303587009586, https://leetcode.com/problems/longest-continuous-increasing-subsequence
503,Next Greater Element II,56.5%,Medium,0.11242734769506908, https://leetcode.com/problems/next-greater-element-ii
1047,Remove All Adjacent Duplicates In String,68.6%,Easy,0.11181352460393465, https://leetcode.com/problems/remove-all-adjacent-duplicates-in-string
1008,Construct Binary Search Tree from Preorder Traversal,78.4%,Medium,0.11004936619718413, https://leetcode.com/problems/construct-binary-search-tree-from-preorder-traversal
137,Single Number II,52.4%,Medium,0.10746985577594965, https://leetcode.com/problems/single-number-ii
966,Vowel Spellchecker,47.2%,Medium,0.10676797542570607, https://leetcode.com/problems/vowel-spellchecker
405,Convert a Number to Hexadecimal,43.9%,Easy,0.10573219378884732, https://leetcode.com/problems/convert-a-number-to-hexadecimal
547,Friend Circles,58.6%,Medium,0.10502210097355241, https://leetcode.com/problems/friend-circles
773,Sliding Puzzle,59.3%,Hard,0.10294796925244239, https://leetcode.com/problems/sliding-puzzle
1411,Number of Ways to Paint N × 3 Grid,61.1%,Hard,0.10135249426028749, https://leetcode.com/problems/number-of-ways-to-paint-n-3-grid
223,Rectangle Area,37.8%,Medium,0.10064352577968744, https://leetcode.com/problems/rectangle-area
387,First Unique Character in a String,53.4%,Easy,0.09971390202061521, https://leetcode.com/problems/first-unique-character-in-a-string
136,Single Number,65.5%,Easy,0.09844680818822771, https://leetcode.com/problems/single-number
1053,Previous Permutation With One Swap,48.5%,Medium,0.09835932019884275, https://leetcode.com/problems/previous-permutation-with-one-swap
489,Robot Room Cleaner,69.7%,Hard,0.09769150308111128, https://leetcode.com/problems/robot-room-cleaner
394,Decode String,50.0%,Medium,0.09572009987565212, https://leetcode.com/problems/decode-string
642,Design Search Autocomplete System,44.7%,Hard,0.09500811062818718, https://leetcode.com/problems/design-search-autocomplete-system
239,Sliding Window Maximum,43.0%,Hard,0.09271146326206103, https://leetcode.com/problems/sliding-window-maximum
1062,Longest Repeating Substring,57.2%,Medium,0.09201889872025212, https://leetcode.com/problems/longest-repeating-substring
21,Merge Two Sorted Lists,53.5%,Easy,0.09110919511165776, https://leetcode.com/problems/merge-two-sorted-lists
49,Group Anagrams,56.9%,Medium,0.09101320494254857, https://leetcode.com/problems/group-anagrams
1077,Project Employees III,75.6%,Medium,0.0907652093142671, https://leetcode.com/problems/project-employees-iii
1132,Reported Posts II,34.4%,Medium,0.0903548750399561, https://leetcode.com/problems/reported-posts-ii
62,Unique Paths,54.1%,Medium,0.08965185882136445, https://leetcode.com/problems/unique-paths
995,Minimum Number of K Consecutive Bit Flips,46.8%,Hard,0.08894748601649616, https://leetcode.com/problems/minimum-number-of-k-consecutive-bit-flips
16,3Sum Closest,46.0%,Medium,0.08850538159227012, https://leetcode.com/problems/3sum-closest
25,Reverse Nodes in k-Group,42.1%,Hard,0.08835766048944313, https://leetcode.com/problems/reverse-nodes-in-k-group
788,Rotated Digits,57.1%,Easy,0.08743429938967429, https://leetcode.com/problems/rotated-digits
1113,Reported Posts,64.1%,Easy,0.08552217343816201, https://leetcode.com/problems/reported-posts
614,Second Degree Follower,30.3%,Medium,0.08479653666007693, https://leetcode.com/problems/second-degree-follower
345,Reverse Vowels of a String,44.2%,Easy,0.08413974844494757, https://leetcode.com/problems/reverse-vowels-of-a-string
443,String Compression,41.3%,Easy,0.08391368024915737, https://leetcode.com/problems/string-compression
550,Game Play Analysis IV,45.3%,Medium,0.08286311601350513, https://leetcode.com/problems/game-play-analysis-iv
44,Wildcard Matching,24.7%,Hard,0.08271909217936915, https://leetcode.com/problems/wildcard-matching
13,Roman to Integer,55.7%,Easy,0.08237818622149326, https://leetcode.com/problems/roman-to-integer
962,Maximum Width Ramp,45.4%,Medium,0.08184524810424337, https://leetcode.com/problems/maximum-width-ramp
884,Uncommon Words from Two Sentences,63.3%,Easy,0.07990051073053109, https://leetcode.com/problems/uncommon-words-from-two-sentences
208,Implement Trie (Prefix Tree),49.4%,Medium,0.07910997849332738, https://leetcode.com/problems/implement-trie-prefix-tree
128,Longest Consecutive Sequence,45.1%,Hard,0.0786603197723907, https://leetcode.com/problems/longest-consecutive-sequence
1254,Number of Closed Islands,60.5%,Medium,0.07796154146971186, https://leetcode.com/problems/number-of-closed-islands
1055,Shortest Way to Form String,56.9%,Medium,0.07681317776161672, https://leetcode.com/problems/shortest-way-to-form-string
778,Swim in Rising Water,53.1%,Hard,0.07651914983419623, https://leetcode.com/problems/swim-in-rising-water
852,Peak Index in a Mountain Array,71.6%,Easy,0.07637297878457401, https://leetcode.com/problems/peak-index-in-a-mountain-array
4,Median of Two Sorted Arrays,29.6%,Hard,0.07615745318145342, https://leetcode.com/problems/median-of-two-sorted-arrays
468,Validate IP Address,24.1%,Medium,0.07598590697792203, https://leetcode.com/problems/validate-ip-address
505,The Maze II,47.7%,Medium,0.07133147800542972, https://leetcode.com/problems/the-maze-ii
1057,Campus Bikes,57.7%,Medium,0.07107786641655695, https://leetcode.com/problems/campus-bikes
81,Search in Rotated Sorted Array II,33.0%,Medium,0.07091146875905202, https://leetcode.com/problems/search-in-rotated-sorted-array-ii
346,Moving Average from Data Stream,70.9%,Easy,0.06887402901251127, https://leetcode.com/problems/moving-average-from-data-stream
723,Candy Crush,69.2%,Medium,0.06828590786613152, https://leetcode.com/problems/candy-crush
168,Excel Sheet Column Title,31.1%,Easy,0.0676504718923617, https://leetcode.com/problems/excel-sheet-column-title
105,Construct Binary Tree from Preorder and Inorder Traversal,48.8%,Medium,0.06685522312111739, https://leetcode.com/problems/construct-binary-tree-from-preorder-and-inorder-traversal
178,Rank Scores,45.8%,Medium,0.06551667145414991, https://leetcode.com/problems/rank-scores
298,Binary Tree Longest Consecutive Sequence,47.1%,Medium,0.065169635074581, https://leetcode.com/problems/binary-tree-longest-consecutive-sequence
1108,Defanging an IP Address,87.5%,Easy,0.06413595621854226, https://leetcode.com/problems/defanging-an-ip-address
414,Third Maximum Number,30.5%,Easy,0.06304078374301514, https://leetcode.com/problems/third-maximum-number
11,Container With Most Water,50.8%,Medium,0.060358007567261264, https://leetcode.com/problems/container-with-most-water
55,Jump Game,34.6%,Medium,0.059854228581496645, https://leetcode.com/problems/jump-game
491,Increasing Subsequences,46.1%,Medium,0.058581901624802396, https://leetcode.com/problems/increasing-subsequences
1305,All Elements in Two Binary Search Trees,76.1%,Medium,0.05819353408024827, https://leetcode.com/problems/all-elements-in-two-binary-search-trees
373,Find K Pairs with Smallest Sums,36.7%,Medium,0.058155920157074034, https://leetcode.com/problems/find-k-pairs-with-smallest-sums
417,Pacific Atlantic Water Flow,41.1%,Medium,0.057523844138186606, https://leetcode.com/problems/pacific-atlantic-water-flow
312,Burst Balloons,51.8%,Hard,0.056547726798068784, https://leetcode.com/problems/burst-balloons
218,The Skyline Problem,34.6%,Hard,0.0564413109049518, https://leetcode.com/problems/the-skyline-problem
41,First Missing Positive,32.0%,Hard,0.056273635982108605, https://leetcode.com/problems/first-missing-positive
24,Swap Nodes in Pairs,50.4%,Medium,0.05465011300438079, https://leetcode.com/problems/swap-nodes-in-pairs
395,Longest Substring with At Least K Repeating Characters,41.4%,Medium,0.05371219359052555, https://leetcode.com/problems/longest-substring-with-at-least-k-repeating-characters
679,24 Game,46.4%,Hard,0.05341723749698583, https://leetcode.com/problems/24-game
597,Friend Requests I: Overall Acceptance Rate,41.0%,Easy,0.053062844975211534, https://leetcode.com/problems/friend-requests-i-overall-acceptance-rate
17,Letter Combinations of a Phone Number,46.8%,Medium,0.052632421620123555, https://leetcode.com/problems/letter-combinations-of-a-phone-number
122,Best Time to Buy and Sell Stock II,57.0%,Easy,0.05236798551731598, https://leetcode.com/problems/best-time-to-buy-and-sell-stock-ii
496,Next Greater Element I,63.8%,Easy,0.05179150912840488, https://leetcode.com/problems/next-greater-element-i
209,Minimum Size Subarray Sum,38.2%,Medium,0.05146227039335983, https://leetcode.com/problems/minimum-size-subarray-sum
681,Next Closest Time,45.0%,Medium,0.05045206096038863, https://leetcode.com/problems/next-closest-time
285,Inorder Successor in BST,40.4%,Medium,0.049569618859417214, https://leetcode.com/problems/inorder-successor-in-bst
79,Word Search,35.6%,Medium,0.04917091711296865, https://leetcode.com/problems/word-search
593,Valid Square,43.1%,Medium,0.048671406375812236, https://leetcode.com/problems/valid-square
1019,Next Greater Node In Linked List,57.4%,Medium,0.04795804429616222, https://leetcode.com/problems/next-greater-node-in-linked-list
26,Remove Duplicates from Sorted Array,45.1%,Easy,0.0476757427679509, https://leetcode.com/problems/remove-duplicates-from-sorted-array
698,Partition to K Equal Sum Subsets,45.0%,Medium,0.04685917114094188, https://leetcode.com/problems/partition-to-k-equal-sum-subsets
556,Next Greater Element III,31.7%,Medium,0.04679216150675895, https://leetcode.com/problems/next-greater-element-iii
191,Number of 1 Bits,49.8%,Easy,0.045812334709758235, https://leetcode.com/problems/number-of-1-bits
48,Rotate Image,56.7%,Medium,0.04495138786226632, https://leetcode.com/problems/rotate-image
935,Knight Dialer,45.2%,Medium,0.04445176257083384, https://leetcode.com/problems/knight-dialer
148,Sort List,42.3%,Medium,0.04408427313201935, https://leetcode.com/problems/sort-list
1498,Number of Subsequences That Satisfy the Given Sum Condition,36.7%,Medium,0.04334372921647208, https://leetcode.com/problems/number-of-subsequences-that-satisfy-the-given-sum-condition
399,Evaluate Division,51.6%,Medium,0.043089480538103624, https://leetcode.com/problems/evaluate-division
338,Counting Bits,69.5%,Medium,0.0428445715346785, https://leetcode.com/problems/counting-bits
716,Max Stack,42.6%,Easy,0.042695919196489414, https://leetcode.com/problems/max-stack
611,Valid Triangle Number,48.4%,Medium,0.04255961441879593, https://leetcode.com/problems/valid-triangle-number
669,Trim a Binary Search Tree,63.0%,Easy,0.04255961441879593, https://leetcode.com/problems/trim-a-binary-search-tree
430,Flatten a Multilevel Doubly Linked List,55.1%,Medium,0.04154283751370906, https://leetcode.com/problems/flatten-a-multilevel-doubly-linked-list
1219,Path with Maximum Gold,65.1%,Medium,0.04111576039097048, https://leetcode.com/problems/path-with-maximum-gold
37,Sudoku Solver,43.6%,Hard,0.040527833612118376, https://leetcode.com/problems/sudoku-solver
918,Maximum Sum Circular Subarray,33.7%,Medium,0.04045040846284272, https://leetcode.com/problems/maximum-sum-circular-subarray
14,Longest Common Prefix,35.4%,Easy,0.039933598017406854, https://leetcode.com/problems/longest-common-prefix
686,Repeated String Match,32.3%,Easy,0.03984590854719967, https://leetcode.com/problems/repeated-string-match
406,Queue Reconstruction by Height,66.9%,Medium,0.03949613834265583, https://leetcode.com/problems/queue-reconstruction-by-height
210,Course Schedule II,40.7%,Medium,0.03795788828372613, https://leetcode.com/problems/course-schedule-ii
1031,Maximum Sum of Two Non-Overlapping Subarrays,57.9%,Medium,0.03711000965123125, https://leetcode.com/problems/maximum-sum-of-two-non-overlapping-subarrays
206,Reverse Linked List,62.5%,Easy,0.03679633286058156, https://leetcode.com/problems/reverse-linked-list
887,Super Egg Drop,27.1%,Hard,0.03660060864484636, https://leetcode.com/problems/super-egg-drop
28,Implement strStr(),34.5%,Easy,0.03494144277828229, https://leetcode.com/problems/implement-strstr
152,Maximum Product Subarray,31.7%,Medium,0.034438665054543384, https://leetcode.com/problems/maximum-product-subarray
886,Possible Bipartition,44.2%,Medium,0.034103901828857086, https://leetcode.com/problems/possible-bipartition
1360,Number of Days Between Two Dates,48.8%,Easy,0.03401688527825427, https://leetcode.com/problems/number-of-days-between-two-dates
384,Shuffle an Array,52.8%,Medium,0.03399118781703353, https://leetcode.com/problems/shuffle-an-array
516,Longest Palindromic Subsequence,53.2%,Medium,0.0332870969222259, https://leetcode.com/problems/longest-palindromic-subsequence
1287,Element Appearing More Than 25% In Sorted Array,60.2%,Easy,0.033033556829153404, https://leetcode.com/problems/element-appearing-more-than-25-in-sorted-array
235,Lowest Common Ancestor of a Binary Search Tree,49.9%,Easy,0.032470385030784074, https://leetcode.com/problems/lowest-common-ancestor-of-a-binary-search-tree
300,Longest Increasing Subsequence,42.6%,Medium,0.03245773693742074, https://leetcode.com/problems/longest-increasing-subsequence
228,Summary Ranges,39.5%,Medium,0.03157326191609021, https://leetcode.com/problems/summary-ranges
150,Evaluate Reverse Polish Notation,36.3%,Medium,0.031526253646773944, https://leetcode.com/problems/evaluate-reverse-polish-notation
703,Kth Largest Element in a Stream,49.7%,Easy,0.031004894819414507, https://leetcode.com/problems/kth-largest-element-in-a-stream
303,Range Sum Query - Immutable,44.7%,Easy,0.029549096691749193, https://leetcode.com/problems/range-sum-query-immutable
7,Reverse Integer,25.8%,Easy,0.029372034825448746, https://leetcode.com/problems/reverse-integer
176,Second Highest Salary,31.6%,Easy,0.029252542837437355, https://leetcode.com/problems/second-highest-salary
324,Wiggle Sort II,29.9%,Medium,0.02898753687325229, https://leetcode.com/problems/wiggle-sort-ii
509,Fibonacci Number,67.2%,Easy,0.028156003871381816, https://leetcode.com/problems/fibonacci-number
472,Concatenated Words,43.7%,Hard,0.027664281472355556, https://leetcode.com/problems/concatenated-words
159,Longest Substring with At Most Two Distinct Characters,49.4%,Medium,0.02717558537896476, https://leetcode.com/problems/longest-substring-with-at-most-two-distinct-characters
437,Path Sum III,47.2%,Medium,0.02708561605844235, https://leetcode.com/problems/path-sum-iii
1379,Find a Corresponding Node of a Binary Tree in a Clone of That Tree,83.8%,Medium,0.02645656953683045, https://leetcode.com/problems/find-a-corresponding-node-of-a-binary-tree-in-a-clone-of-that-tree
979,Distribute Coins in Binary Tree,68.9%,Medium,0.026196651946570663, https://leetcode.com/problems/distribute-coins-in-binary-tree
403,Frog Jump,39.7%,Hard,0.0259249775263148, https://leetcode.com/problems/frog-jump
410,Split Array Largest Sum,44.5%,Hard,0.025807883955872597, https://leetcode.com/problems/split-array-largest-sum
90,Subsets II,47.1%,Medium,0.025497131933483772, https://leetcode.com/problems/subsets-ii
189,Rotate Array,34.7%,Easy,0.024924029676386045, https://leetcode.com/problems/rotate-array
30,Substring with Concatenation of All Words,25.4%,Hard,0.02486144206532915, https://leetcode.com/problems/substring-with-concatenation-of-all-words
662,Maximum Width of Binary Tree,41.0%,Medium,0.024116924478312346, https://leetcode.com/problems/maximum-width-of-binary-tree
307,Range Sum Query - Mutable,34.6%,Medium,0.02223549085228711, https://leetcode.com/problems/range-sum-query-mutable
221,Maximal Square,37.7%,Medium,0.022108490754203434, https://leetcode.com/problems/maximal-square
108,Convert Sorted Array to Binary Search Tree,57.9%,Easy,0.022033389270751453, https://leetcode.com/problems/convert-sorted-array-to-binary-search-tree
112,Path Sum,41.2%,Easy,0.021701651897460775, https://leetcode.com/problems/path-sum
1137,N-th Tribonacci Number,55.9%,Easy,0.02072613051711693, https://leetcode.com/problems/n-th-tribonacci-number
60,Permutation Sequence,38.4%,Hard,0.020471543980187256, https://leetcode.com/problems/permutation-sequence
392,Is Subsequence,49.2%,Easy,0.02033508842008217, https://leetcode.com/problems/is-subsequence
525,Contiguous Array,42.8%,Medium,0.01975372873623256, https://leetcode.com/problems/contiguous-array
229,Majority Element II,35.6%,Medium,0.019057270410286146, https://leetcode.com/problems/majority-element-ii
787,Cheapest Flights Within K Stops,39.3%,Medium,0.018824085245635554, https://leetcode.com/problems/cheapest-flights-within-k-stops
450,Delete Node in a BST,43.1%,Medium,0.018536211907915243, https://leetcode.com/problems/delete-node-in-a-bst
70,Climbing Stairs,47.8%,Easy,0.018323749536870576, https://leetcode.com/problems/climbing-stairs
706,Design HashMap,61.3%,Easy,0.01752893260576219, https://leetcode.com/problems/design-hashmap
993,Cousins in Binary Tree,52.0%,Easy,0.017414458368636587, https://leetcode.com/problems/cousins-in-binary-tree
1266,Minimum Time Visiting All Points,79.6%,Easy,0.017354014693151613, https://leetcode.com/problems/minimum-time-visiting-all-points
289,Game of Life,54.5%,Medium,0.0173239499317743, https://leetcode.com/problems/game-of-life
95,Unique Binary Search Trees II,40.6%,Medium,0.016856699181010838, https://leetcode.com/problems/unique-binary-search-trees-ii
145,Binary Tree Postorder Traversal,55.0%,Hard,0.01682911820009702, https://leetcode.com/problems/binary-tree-postorder-traversal
997,Find the Town Judge,50.1%,Easy,0.01677891712910938, https://leetcode.com/problems/find-the-town-judge
51,N-Queens,46.6%,Hard,0.016393809775676407, https://leetcode.com/problems/n-queens
1304,Find N Unique Integers Sum up to Zero,76.3%,Easy,0.015892269319508656, https://leetcode.com/problems/find-n-unique-integers-sum-up-to-zero
153,Find Minimum in Rotated Sorted Array,45.1%,Medium,0.014939586916186732, https://leetcode.com/problems/find-minimum-in-rotated-sorted-array
203,Remove Linked List Elements,38.6%,Easy,0.014519311324453305, https://leetcode.com/problems/remove-linked-list-elements
653,Two Sum IV - Input is a BST,55.5%,Easy,0.014224990931347289, https://leetcode.com/problems/two-sum-iv-input-is-a-bst
179,Largest Number,28.8%,Medium,0.013865040137171665, https://leetcode.com/problems/largest-number
64,Minimum Path Sum,54.5%,Medium,0.013734383449598314, https://leetcode.com/problems/minimum-path-sum
101,Symmetric Tree,46.8%,Easy,0.013553786479814183, https://leetcode.com/problems/symmetric-tree
344,Reverse String,68.5%,Easy,0.013014662307854044, https://leetcode.com/problems/reverse-string
77,Combinations,54.7%,Medium,0.01255115315451512, https://leetcode.com/problems/combinations
287,Find the Duplicate Number,55.5%,Medium,0.012335682739188652, https://leetcode.com/problems/find-the-duplicate-number
445,Add Two Numbers II,54.5%,Medium,0.01233061245747872, https://leetcode.com/problems/add-two-numbers-ii
172,Factorial Trailing Zeroes,37.8%,Easy,0.012326812480658571, https://leetcode.com/problems/factorial-trailing-zeroes
205,Isomorphic Strings,39.8%,Easy,0.011544139746865315, https://leetcode.com/problems/isomorphic-strings
733,Flood Fill,55.3%,Easy,0.011217167530924988, https://leetcode.com/problems/flood-fill
171,Excel Sheet Column Number,55.9%,Easy,0.011195191092491645, https://leetcode.com/problems/excel-sheet-column-number
104,Maximum Depth of Binary Tree,66.0%,Easy,0.011105055822701604, https://leetcode.com/problems/maximum-depth-of-binary-tree
103,Binary Tree Zigzag Level Order Traversal,48.3%,Medium,0.01063025572799205, https://leetcode.com/problems/binary-tree-zigzag-level-order-traversal
234,Palindrome Linked List,39.3%,Easy,0.010171877938733932, https://leetcode.com/problems/palindrome-linked-list
72,Edit Distance,44.8%,Hard,0.010017614452317782, https://leetcode.com/problems/edit-distance
61,Rotate List,30.0%,Medium,0.009925639799969955, https://leetcode.com/problems/rotate-list
113,Path Sum II,46.7%,Medium,0.009784813879998279, https://leetcode.com/problems/path-sum-ii
905,Sort Array By Parity,74.1%,Easy,0.009603915354180344, https://leetcode.com/problems/sort-array-by-parity
151,Reverse Words in a String,21.9%,Medium,0.009570916441992467, https://leetcode.com/problems/reverse-words-in-a-string
96,Unique Binary Search Trees,52.9%,Medium,0.009242209964820877, https://leetcode.com/problems/unique-binary-search-trees
1143,Longest Common Subsequence,58.4%,Medium,0.008835931134362285, https://leetcode.com/problems/longest-common-subsequence
63,Unique Paths II,34.6%,Medium,0.008712753874961187, https://leetcode.com/problems/unique-paths-ii
763,Partition Labels,76.1%,Medium,0.008385793376274025, https://leetcode.com/problems/partition-labels
84,Largest Rectangle in Histogram,35.2%,Hard,0.00833685528906183, https://leetcode.com/problems/largest-rectangle-in-histogram
38,Count and Say,44.6%,Easy,0.007829360800435779, https://leetcode.com/problems/count-and-say
6,ZigZag Conversion,36.3%,Medium,0.0077116248757144665, https://leetcode.com/problems/zigzag-conversion
66,Plus One,43.0%,Easy,0.007324847595025828, https://leetcode.com/problems/plus-one
36,Valid Sudoku,48.7%,Medium,0.007258242715805398, https://leetcode.com/problems/valid-sudoku
204,Count Primes,31.5%,Easy,0.007072165261362441, https://leetcode.com/problems/count-primes
118,Pascal's Triangle,52.5%,Easy,0.006749941254175012, https://leetcode.com/problems/pascals-triangle
83,Remove Duplicates from Sorted List,45.4%,Easy,0.006353261522609498, https://leetcode.com/problems/remove-duplicates-from-sorted-list
1528,Shuffle String,86.1%,Easy,0.006295047716793515, https://leetcode.com/problems/shuffle-string
237,Delete Node in a Linked List,63.8%,Easy,0.005144705881237697, https://leetcode.com/problems/delete-node-in-a-linked-list
268,Missing Number,51.7%,Easy,0.0048804391649084865, https://leetcode.com/problems/missing-number
154,Find Minimum in Rotated Sorted Array II,41.6%,Hard,0.004780123824719199, https://leetcode.com/problems/find-minimum-in-rotated-sorted-array-ii
155,Min Stack,44.5%,Easy,0.00474891074128171, https://leetcode.com/problems/min-stack
141,Linked List Cycle,41.1%,Easy,0.0034937584669245472, https://leetcode.com/problems/linked-list-cycle
94,Binary Tree Inorder Traversal,63.3%,Medium,0.0033551449021403577, https://leetcode.com/problems/binary-tree-inorder-traversal
309,Best Time to Buy and Sell Stock with Cooldown,47.4%,Medium,0.0028498166907604426, https://leetcode.com/problems/best-time-to-buy-and-sell-stock-with-cooldown
260,Single Number III,64.3%,Medium,0.0020288097849578786, https://leetcode.com/problems/single-number-iii
100,Same Tree,53.4%,Easy,0.0014080047382258295, https://leetcode.com/problems/same-tree


Task_Name,Task_ID,Experiment_Name,Experiment_ID,metric_best_epoch,metric_best_validation_LAS,metric_best_validation_UAS,metric_test_LAS,metric_test_UAS,env_BERT_WEIGHTS,env_LEARNING_RATE,env_NUM_EPOCHS,env_TRAIN_PATH
training,tk_o61ra60q9dfd,,ex_xti8akftl4dd,3,0.9107816711590296,0.9232704402515725,0.9071411162563976,0.9228613209846454,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-05,4,data/parsing/genia/train.txt
training,tk_wa5k6nf2a4j3,,ex_g8za0gexo9wv,4,0.9117999401018267,0.923959269242288,0.9072020472824762,0.9226480623933708,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-05,5,data/parsing/genia/train.txt
training,tk_8nim2r1yk46p,,ex_sw0jfnwv54zz,4,0.9112009583707696,0.9234800838574424,0.907811357543261,0.9219778211065074,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-05,5,data/parsing/genia/train.txt
training,tk_mqsb52qcz50n,,ex_98yoomykn3by,3,0.910931416591794,0.9234800838574424,0.9071106507433584,0.921916890080429,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-05,4,data/parsing/genia/train.txt
training,tk_vt0he90v07l5,,ex_gzvkmbtvxy3z,2,0.910092842168314,0.9229709493860436,0.9059529612478674,0.9213685108457228,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-05,3,data/parsing/genia/train.txt
training,tk_da245slrdboh,,ex_r4qm0xktidk2,4,0.9100329439952082,0.9224019167415394,0.9065013404825736,0.921155252254448,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-05,5,data/parsing/genia/train.txt
training,tk_e8brkfjpidmn,,ex_qp94db8m0xfb,3,0.9109913147648996,0.9226714585205152,0.9051608579088471,0.9207896660979772,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-05,4,data/parsing/genia/train.txt
training,tk_n7spnc53i62u,,ex_39vnsevegytf,3,0.9075471698113208,0.9199760407307576,0.9049171338045332,0.9204850109675848,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-05,4,data/parsing/genia/train.txt
training,tk_fo00u8vritp1,,ex_toqfxsd21zst,2,0.9088349805330938,0.921832884097035,0.9047648062393372,0.9204545454545454,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-05,3,data/parsing/genia/train.txt
training,tk_043pg8wa60ta,,ex_v0jw1nojt0js,3,0.9103623839472896,0.9225516621743036,0.9046734097002194,0.9203631489154276,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-05,4,data/parsing/genia/train.txt
training,tk_ccmiyowpmwjt,,ex_wew1gft30mvu,4,0.9069481880802636,0.9197663971248876,0.9048562027784548,0.9198757007068,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-05,5,data/parsing/genia/train.txt
training,tk_nd7wr2mnec4z,,ex_eqbyx1i9uhvz,3,0.9095837076969152,0.9220125786163522,0.9049780648306116,0.9198452351937608,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-05,4,data/parsing/genia/train.txt
training,tk_6pwk3457luf4,,ex_qqle0nsrpof5,1,0.9076370170709792,0.9211141060197664,0.9033329271264928,0.9197843041676822,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-05,2,data/parsing/genia/train.txt
training,tk_l9nbeohaw5f3,,ex_zdzlaq6uh7i7,2,0.9101527403414196,0.9230907457322552,0.9041859614915916,0.9196929076285644,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-05,3,data/parsing/genia/train.txt
training,tk_jxnw7a2qmj4b,,ex_mmuwc2ka09ay,4,0.9080862533692724,0.921203953279425,0.9028150134048256,0.9193273214720936,/scibert/scibert_basevocab_cased/weights.tar.gz,2e-05,5,data/parsing/genia/train.txt
training,tk_oajt7evbss8w,,ex_m9jr2oegl5af,4,0.9085953878406708,0.9217130877508236,0.9037289787960028,0.9192054594199366,/scibert/scibert_basevocab_cased/weights.tar.gz,2e-05,5,data/parsing/genia/train.txt
training,tk_04cy977e5zvj,,ex_yqudakxe54a6,2,0.9095537586103624,0.922491764001198,0.9036985132829636,0.9192054594199366,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-05,3,data/parsing/genia/train.txt
training,tk_wz6ztj7vc6kr,,ex_05woi4xs8rer,4,0.9074573225516622,0.9202455825097334,0.9031501340482574,0.918992200828662,/scibert/scibert_basevocab_cased/weights.tar.gz,2e-05,5,data/parsing/genia/train.txt
training,tk_0fd13nbysxs0,,ex_12drvt8dqjxh,3,0.9068283917340522,0.9202755315962864,0.9027540823787472,0.9187180112113088,/scibert/scibert_basevocab_cased/weights.tar.gz,2e-05,4,data/parsing/genia/train.txt
training,tk_l3kxedse3rqk,,ex_jmwsmknpeo56,3,0.9101826894279724,0.9226415094339624,0.9029368754569826,0.9186875456982696,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-05,4,data/parsing/genia/train.txt
training,tk_x1nuq2cl7pqv,,ex_qgaakn60cj9w,2,0.9097035040431268,0.921862833183588,0.903119668535218,0.9186570801852304,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-05,3,data/parsing/genia/train.txt
training,tk_0as2ycuocild,,ex_xe1t5j528xnm,3,0.9063492063492063,0.9199460916442048,0.9012917377528638,0.9184742871069947,/scibert/scibert_basevocab_cased/weights.tar.gz,2e-05,4,data/parsing/genia/train.txt
training,tk_vda7ystwdr7p,,ex_m4qd5gg5drti,1,0.9066786463012878,0.9199760407307576,0.9019619790397272,0.9184133560809165,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-05,2,data/parsing/genia/train.txt
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training,tk_sj95engcb6a6,,ex_hjtgdosy6hfl,2,0.8872416891284816,0.906229410002995,0.882250792103339,0.9012612722398246,/scibert/bertbase_basevocab_cased/weights.tar.gz,1e-05,3,data/parsing/genia/train.txt
training,tk_ky7i8iedl5w1,,ex_iw9srlmyi7sq,2,0.886942198262953,0.905151242887092,0.8804533268340239,0.9010784791615892,/scibert/bertbase_basevocab_cased/weights.tar.gz,1e-05,3,data/parsing/genia/train.txt
training,tk_e0somx7wt5v5,,ex_jt1fkycpbwa2,4,0.8840670859538784,0.9038933812518718,0.8785339995125518,0.9008956860833536,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-06,5,data/parsing/genia/train.txt
training,tk_7lrx6yyxof8d,,ex_w1iznj9z8wbb,1,0.8827193770589997,0.9014375561545372,0.8781684133560809,0.9000426517182549,/scibert/scibert_scivocab_cased/weights.tar.gz,1e-05,2,data/parsing/genia/train.txt
training,tk_d4mcvfavpd7a,,ex_tdvibl17vuiw,1,0.8831985624438454,0.9028152141359688,0.8776504996344139,0.899281013892274,/scibert/scibert_scivocab_cased/weights.tar.gz,1e-05,2,data/parsing/genia/train.txt
training,tk_wv0p0z3w2cly,,ex_cfzx06epbk86,3,0.8787660976340221,0.8999101527403415,0.8741774311479406,0.8971788934925664,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-06,4,data/parsing/genia/train.txt
training,tk_32iiuklnqc6w,,ex_l9j4zawqfnri,3,0.8785265049415992,0.9000299490865529,0.8739337070436266,0.8971179624664879,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-06,4,data/parsing/genia/train.txt
training,tk_0ixmshjjd4a5,,ex_2yijwn88hzwk,3,0.8747828691224918,0.8971548367774783,0.872715086522057,0.8967219107969778,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-06,4,data/parsing/genia/train.txt
training,tk_dqg5sg0xhmvx,,ex_pzg8e60bnsjr,3,0.8787061994609164,0.8990715783168614,0.8733548622958811,0.8964781866926639,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-06,4,data/parsing/genia/train.txt
training,tk_5odhle5odgsh,,ex_9cl8kkntj5cm,4,0.8759808325846061,0.8975741239892183,0.8732025347306849,0.8957774798927614,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-06,5,data/parsing/genia/train.txt
training,tk_0rvp7pt7ohee,,ex_ylrd7ohhnx6x,1,0.8780173704702007,0.8986522911051213,0.8733548622958811,0.8957774798927614,/scibert/bertbase_basevocab_cased/weights.tar.gz,1e-05,2,data/parsing/genia/train.txt
training,tk_vo5ibrzybfya,,ex_cyvwk0jeq6bn,1,0.879245283018868,0.8999401018268943,0.8744516207652937,0.8951681696319767,/scibert/bertbase_basevocab_cased/weights.tar.gz,1e-05,2,data/parsing/genia/train.txt
training,tk_7xvcculmw3u4,,ex_cf6f1knbkurr,3,0.8769991015274035,0.8973944294699012,0.8713441384352912,0.8949853765537412,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-06,4,data/parsing/genia/train.txt
training,tk_fu5s4iz15axl,,ex_no74b84kjv5t,1,0.8764899670560048,0.8975741239892183,0.8714964660004875,0.8946197903972702,/scibert/bertbase_basevocab_cased/weights.tar.gz,1e-05,2,data/parsing/genia/train.txt
training,tk_x2l9iafn38sk,,ex_r4zyfxpro3dt,4,0.876669661575322,0.8982330038933812,0.873080672678528,0.8944979283451133,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-06,5,data/parsing/genia/train.txt
training,tk_z296hj9pydzy,,ex_dv84zk8l9x7k,3,0.8756214435459718,0.8972446840371369,0.8703692420180356,0.8938276870582501,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-06,4,data/parsing/genia/train.txt
training,tk_6d5yfm9jfkoy,,ex_vn1iublhfnem,4,0.8765798143156633,0.8982030548068284,0.8694552766268584,0.8927613941018767,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-06,5,data/parsing/genia/train.txt
training,tk_lqu2p6wnxjq9,,ex_v0ct4tahlcag,3,0.8711290805630428,0.8941299790356394,0.8682061905922496,0.8918778942237388,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-06,4,data/parsing/genia/train.txt
training,tk_o8d94vtphdjg,,ex_4twrj0h7oqkr,2,0.8696316262353998,0.893560946391135,0.8657994150621496,0.8914513770411894,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-06,3,data/parsing/genia/train.txt
training,tk_60tg9qoik5hi,,ex_xodoaob3e9y0,3,0.8718778077268643,0.8945492662473794,0.8682061905922496,0.89102485985864,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-06,4,data/parsing/genia/train.txt
training,tk_sb898pjnk5t4,,ex_39oc8h4zji77,2,0.8717580113806529,0.8945492662473794,0.8657994150621496,0.8905678771630514,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-06,3,data/parsing/genia/train.txt
training,tk_izi9vk3yhx3b,,ex_fnr9jbo8569z,2,0.8699311171009284,0.892932015573525,0.8643980014623446,0.8900804289544236,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-06,3,data/parsing/genia/train.txt
training,tk_nbkdh4ol8orx,,ex_5691quyarjxz,2,0.8656483977238694,0.8904761904761904,0.8638191567145991,0.8899585669022666,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-06,3,data/parsing/genia/train.txt
training,tk_2ib77qwjl762,,ex_ducc3x31z1qf,2,0.8684037136867325,0.8906558849955076,0.863301242992932,0.889105532537168,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-06,3,data/parsing/genia/train.txt
training,tk_h7dj6icgvef1,,ex_ep2snf2ncbxd,3,0.8697214734950584,0.8923330338424678,0.8635449670972459,0.8880392395807946,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-06,4,data/parsing/genia/train.txt
training,tk_rehcpnrzypxh,,ex_h30ry5qjnx2r,2,0.8667265648397724,0.8905061395627434,0.8609858640019498,0.8864550329027541,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-06,3,data/parsing/genia/train.txt
training,tk_wotxoe9efrpw,,ex_oa7divxhfw8m,2,0.8631027253668763,0.8882000598981731,0.8599805020716549,0.8858457226419693,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-06,3,data/parsing/genia/train.txt
training,tk_7xgszqblu35p,,ex_vpqk7f3n6cdf,2,0.8647798742138365,0.8894579215333932,0.858335364367536,0.8839873263465757,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-06,3,data/parsing/genia/train.txt
training,tk_c23j9vzn35is,,ex_mh8x93esbot0,2,0.8605570530098832,0.8854447439353099,0.8558371922983183,0.8824031196685352,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-06,3,data/parsing/genia/train.txt
training,tk_xprx02k0kczh,,ex_ifao0ichtalm,1,0.8558550464210841,0.8827792752321054,0.8510541067511577,0.8803009992688277,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-06,2,data/parsing/genia/train.txt
training,tk_e18877219ofb,,ex_2801fb2kpvxl,1,0.8563042827193771,0.8832584606169512,0.8495003655861565,0.8791737752863759,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-06,2,data/parsing/genia/train.txt
training,tk_8e5s7kme45gh,,ex_miemhujejb39,1,0.8532794249775382,0.8825097334531297,0.8480989519863514,0.8791433097733365,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-06,2,data/parsing/genia/train.txt
training,tk_sswoez67nf3r,,ex_94pbydsaem0m,1,0.8558550464210841,0.8817610062893082,0.8489215208384109,0.8784121374603948,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-06,2,data/parsing/genia/train.txt
training,tk_3py4gle8vwxo,,ex_entinb7n2ker,1,0.8525007487271639,0.8804432464809824,0.8484950036558616,0.8783207409212771,/scibert/scibert_basevocab_cased/weights.tar.gz,5e-06,2,data/parsing/genia/train.txt
training,tk_jatms7v6yage,,ex_5jo2u0g1pem8,1,0.851841868823001,0.879424977538185,0.8447782110650743,0.8754874482086278,/scibert/scibert_scivocab_cased/weights.tar.gz,5e-06,2,data/parsing/genia/train.txt
training,tk_szwycdp3agfl,,ex_ewwmz5u36lwu,1,0.8485474693021863,0.876879305181192,0.8451437972215452,0.8746953448696076,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-06,2,data/parsing/genia/train.txt
training,tk_bcwcpnech1iw,,ex_wy5wea9oq31d,1,0.8503144654088051,0.8786163522012579,0.8434377284913478,0.8732330002437241,/scibert/bertbase_basevocab_cased/weights.tar.gz,5e-06,2,data/parsing/genia/train.txt
training,tk_x7neogf488ey,,ex_gitssy4uwl91,1,0.8429170410302486,0.8731356693620844,0.839142091152815,0.8713746039483304,/scibert/bertbase_basevocab_cased/weights.tar.gz,TARGET_VALUE,2,data/parsing/genia/train.txt


"id","business_name","phone","email","years_in_business","services","neighborhoods","general_info","business_page","category","website","address","rating","keyword","place"
"538462585","M&V Digital Agency","(310) 421-1820","","","","Central Hollywood, Central LA","","https://www.yellowpages.com/los-angeles-ca/mip/m-v-digital-agency-538462585?lid=538462585","Digital Printing & Imaging","https://www.mvagency.co","6600 Sunset Blvd. Suite 217Los Angeles, CA 90028","","digital+agency","Los+Angeles,+CA"
"533932424","KRSP A Digital Agency","(213) 537-2063","","","","","","https://www.yellowpages.com/los-angeles-ca/mip/krsp-a-digital-agency-533932424?lid=533932424","Internet Products & Services, Web Site Design & Services","http://krsp.co","3420 S Sepulveda BlvdLos Angeles, CA 90034","","digital+agency","Los+Angeles,+CA"
"17175759","Digital Agency Group","(323) 651-3943","","","","Mar Vista, West Los Angeles","","https://www.yellowpages.com/los-angeles-ca/mip/digital-agency-group-17175759?lid=17175759","Internet Service Providers (ISP)","","11965 Venice BlvdLos Angeles, CA 90066","","digital+agency","Los+Angeles,+CA"
"529467701","Beattie Cole Digital Marketing Agency","(213) 935-8532","hello@beattiecole.com","","","East LA, Greater Echo Park Elysian","We are Beattie cole, a digital marketing agency based in LOS Angeles. We partner with businesses in order to optimize success. Some MAY refer to US AS a digital marketers. But we like to think of ourselves AS a digital optimizers. We provide hand crafted digital marketing solutions custom tailored with your goals in mind.","https://www.yellowpages.com/los-angeles-ca/mip/beattie-cole-digital-marketing-agency-529467701?lid=529467701","Advertising Agencies, Graphic Designers, Marketing Consultants, Marketing Programs & Services","http://www.beattiecole.com","1428 Echo Park AveLos Angeles, CA 90026","","digital+agency","Los+Angeles,+CA"
"468877972","Digital Artist's Agency","(310) 788-3918","","8","","Westside, Century City, West Los Angeles","","https://www.yellowpages.com/los-angeles-ca/mip/digital-artists-agency-468877972?lid=468877972","Talent Agencies","http://d-a-a.com","2131 Century Park Ln Apt 313Los Angeles, CA 90067","","digital+agency","Los+Angeles,+CA"
"4121182","Digital Artists Agency","(310) 279-5055","bcoleman@d-a-a.com","16","","Culver-West, West Los Angeles","","https://www.yellowpages.com/los-angeles-ca/mip/digital-artists-agency-4121182?lid=4121182","Art Galleries, Dealers & Consultants","http://www.d-a-a.com","13323 W Washington BlvdLos Angeles, CA 90066","","digital+agency","Los+Angeles,+CA"
"504217224","121 - Digital Production Agency","(646) 717-1726","info@one20one.com","8","","","","https://www.yellowpages.com/los-angeles-ca/mip/121-digital-production-agency-504217224?lid=504217224","Web Site Design & Services","http://one20one.com","Los Angeles, CA 90046","","digital+agency","Los+Angeles,+CA"
"489247139","Flash Digital Agency","(323) 451-2677","","10","","Central LA, PICO, Wilshire Highlands","We are passionate about digital marketing.  Here at Flash Digital Agency we are a team of experienced and passionate digital marketers that are dedicated to helping our clients find solutions an increase their digital presence.  With Flash Digital Agency you get the custom tailored attention of a boutique agency coupled with the expertise and advance tools and technologies of one of the big guys.  We are data driven and believe in full transparency in reporting and management of your digital marketing.  We work with a broad range of clients from startups, mobile apps, national brands, regional chains, e Commerce, consultants, and more!","https://www.yellowpages.com/beverly-hills-ca/mip/flash-digital-agency-489247139?lid=489247139","Internet Marketing & Advertising, Web Site Design & Services","","8549 Wilshire Blvd suite 426Beverly Hills, CA 90211","2","digital+agency","Los+Angeles,+CA"
"15327758","Signcomm","(213) 383-2111","signcom2000@yahoo.com","28","","Central LA, Rampart Village","20+ years of experience with a 10,000 square foot facility, we can make what you want at the lowest prices! Signcomm has worked with large corporations like T-Mobile, Chase, Burger King and smaller mom and pop locations.","https://www.yellowpages.com/los-angeles-ca/mip/signcomm-15327758?lid=15327758","Signs-Erectors & Hangers, Advertising Agencies, Signs, Advertising Specialties, Printing Services, Digital Printing & Imaging, Banners, Flags & Pennants","","3214 Beverly BlvdLos Angeles, CA 90057","6","digital+agency","Los+Angeles,+CA"
"11408226","Advetising Image Group","(213) 382-1123","create@imagegroupcorp.com","17","","Wilshire Center - Koreatown, Central LA","Marketing, Design, Consultation, Strategy","https://www.yellowpages.com/los-angeles-ca/mip/advetising-image-group-11408226?lid=11408226","Engraving, Advertising Agencies, Screen Printing, Printing Services, Digital Printing & Imaging","http://www.imagegroupcorp.com","3921 Wilshire BlvdLos Angeles, CA 90010","","digital+agency","Los+Angeles,+CA"
"544948397","Amplitude Digital Inc","(213) 973-2002","hello@amplitudeagency.com","15","Search Engine Optimization (SEO), Google AdWords PPC Management, Bing &amp; Yahoo Ads PPC Management, Web Analytics, Content Marketing","","Amplitude Digital, a leading SEO and PPC search marketing agency in Los Angeles, delivers results using data-centric strategies that reduce wasteful media spend and grow revenue. We are a recipient of the Los Angeles Agency Award of Excellence, recognizing our efforts in Search Engine Optimization, Paid Search, Google Shopping Ads, Remarketing and Content Marketing. Clients depend on our veteran search experts, deep analytic methodology and real-time dashboards to keep ahead of the competition.","https://www.yellowpages.com/los-angeles-ca/mip/amplitude-digital-inc-544948397?lid=544948397","Internet Marketing & Advertising, Advertising Agencies","http://amplitudeagency.com","5792 W Jefferson Blvd #2149Los Angeles, CA 90016","","digital+agency","Los+Angeles,+CA"
"491089638","Amplitude Digital Inc","(213) 973-2002","hello@amplitudeagency.com","15","","","Amplitude Digital, a leading SEO and PPC search marketing agency in Los Angeles, delivers results using data-centric strategies that reduce wasteful media spend and grow revenue. We are a recipient of the Los Angeles Agency Award of Excellence, recognizing our efforts in Search Engine Optimization, Paid Search, Google Shopping Ads, Remarketing and Content Marketing. Clients depend on our veteran search experts, deep analytic methodology and real-time dashboards to keep ahead of the competition.","https://www.yellowpages.com/los-angeles-ca/mip/amplitude-digital-inc-491089638?lid=491089638","Internet Marketing & Advertising, Advertising Agencies","http://amplitudeagency.com","3415 S Sepulveda Blvd Ste 1157, 11th FloorLos Angeles, CA 90034","","digital+agency","Los+Angeles,+CA"
"533432367","Chambers Digital Media","(323) 452-2711","","","","","","https://www.yellowpages.com/los-angeles-ca/mip/chambers-digital-media-533432367?lid=533432367","Advertising Agencies","http://empoweredmediapr.com","1615 Wilcox AveLos Angeles, CA 90078","","digital+agency","Los+Angeles,+CA"
"526531805","Quiver Digital","(323) 424-3539","","4","","","","https://www.yellowpages.com/los-angeles-ca/mip/quiver-digital-526531805?lid=526531805","Entertainment Agencies & Bureaus, Technology-Research & Development","","5900 Wilshire Blvd Ste 1700Los Angeles, CA 90036","","digital+agency","Los+Angeles,+CA"
"461551585","Digital Dogs Casting","(323) 651-0888","","","","Central LA, Mid-City West","","https://www.yellowpages.com/los-angeles-ca/mip/digital-dogs-casting-461551585?lid=461551585","Theatrical Managers & Producers, Entertainment Agencies & Bureaus","","627 N Spaulding Ave Apt 3Los Angeles, CA 90036","","digital+agency","Los+Angeles,+CA"
"456284219","Synaptic Digital","(323) 944-0154","learnmore@synapticdigital.com","","","Central LA, Mid-City West","","https://www.yellowpages.com/los-angeles-ca/mip/synaptic-digital-456284219?lid=456284219","Advertising Agencies, Marketing Consultants, Advertising Specialties","","6404 Wilshire BlvdLos Angeles, CA 90048","","digital+agency","Los+Angeles,+CA"
"502200528","Digital Cinema Distribution","(310) 651-2601","","6","","Century City, West Los Angeles, Westside","","https://www.yellowpages.com/los-angeles-ca/mip/digital-cinema-distribution-502200528?lid=502200528","Advertising Agencies, Advertising Specialties","https://www.dcdcdistribution.com","1840 Century Park ELos Angeles, CA 90067","","digital+agency","Los+Angeles,+CA"
"531340287","Manatt Digital Media","(310) 312-4000","","","","West Los Angeles","","https://www.yellowpages.com/los-angeles-ca/mip/manatt-digital-media-531340287?lid=531340287","Advertising Agencies","http://manatt.com","11355 W Olympic BlvdLos Angeles, CA 90064","","digital+agency","Los+Angeles,+CA"
"503954246","Luz Digital Designs","(310) 933-6444","","","","","","https://www.yellowpages.com/los-angeles-ca/mip/luz-digital-designs-503954246?lid=503954246","Web Site Design & Services, Advertising Agencies, Graphic Designers","","Los Angeles, CA 90036","","digital+agency","Los+Angeles,+CA"
"23115096","Seda's Printing and Direct Mailing","(323) 469-1034","info@sedasprinting.com","31","","Central LA, Little Armenia, East Hollywood","Established, recognized, and effectively serving the Los Angeles community, as a complete printing service from design to mail, since 1984. 
 
Our state-of-the-art desktop publishing and design enables us to provide you with exceptional typesetting, design, and pre-press services. All under one roof, our printing department is fully equipped within a 10,000 square foot facility. 
 
Our knowledgeable staff have many years of experience. We can meet all of your printing requirements, whether it's single color or full color, or whether it's on plain paper or glossy stock, Seda's offers affordable, quality printing service solutions. 
 
We have experience in printing business cards, flyers, newsletters, brochures, booklets, envelopes, notepads, postcards, invitations, car magnets, forms, calendars, posters, pms, stickers, labels, and much more!","https://www.yellowpages.com/los-angeles-ca/mip/sedas-printing-and-direct-mailing-23115096?lid=23115096","Copying & Duplicating Service, Advertising Agencies, Graphic Designers, Labels, Advertising Specialties, Printing Services, Computer Printers & Supplies, Printing Services-Commercial, Data Processing Service, Mail & Shipping Services, Digital Printing & Imaging","http://www.sedasprinting.com","5335 Santa Monica BlvdLos Angeles, CA 90029","2","digital+agency","Los+Angeles,+CA"
"468916420","Digital Display Networks","(310) 827-3771","","","","Marina Del Rey, West Los Angeles, Marina del Rey","","https://www.yellowpages.com/los-angeles-ca/mip/digital-display-networks-468916420?lid=468916420","Display Designers & Producers, Marketing Consultants, Advertising Agencies","","12910 Culver Blvd Ste HLos Angeles, CA 90066","","digital+agency","Los+Angeles,+CA"
"460676526","Avozar Advertising","(323) 766-8844","contact@avozar.com","","","Central LA, Pico Union","","https://www.yellowpages.com/los-angeles-ca/mip/avozar-advertising-460676526?lid=460676526","Uniforms-Manufacturers & Wholesale, Digital Printing & Imaging, Business Cards, Print Advertising, Embroidery, Interactive Media, Advertising Agencies, Web Site Hosting, Web Site Design & Services, Embroidery Design Punching, Internet Marketing & Advertising, Screen Printing, Graphic Designers, Photographic Color Prints & Transparencies","http://www.avozar.com","1317 W 11th StLos Angeles, CA 90015","","digital+agency","Los+Angeles,+CA"
"480759574","Digital 500 Media Entertainment - CLOSED","","","","","Greater Cypress Park, East LA","","https://www.yellowpages.com/los-angeles-ca/mip/digital-500-media-entertainment-480759574?lid=480759574","Entertainment Agencies & Bureaus","","2808 Elm StLos Angeles, CA 90065","","digital+agency","Los+Angeles,+CA"
"473363189","Look And Sound Digital Agency","(213) 245-1057","","15","","Sherman Oaks, South Valley","Look And Sound Design is a full-service design and internet marketing  company based in Los Angeles, CA. We have been providing quality web  designs, brand marketing and much more for the business and artist  community since 2004.","https://www.yellowpages.com/sherman-oaks-ca/mip/look-and-sound-digital-agency-473363189?lid=473363189","Internet Marketing & Advertising, Marketing Consultants, Web Site Design & Services, Computer Software Publishers & Developers","http://lookandsound.com","13437 Ventura BlvdSherman Oaks, CA 91423","","digital+agency","Los+Angeles,+CA"
"546066256","Joystik Digital Agency","(310) 751-4158","","","","Marina del Rey, West Los Angeles","","https://www.yellowpages.com/marina-del-rey-ca/mip/joystik-digital-agency-546066256?lid=546066256","Advertising Agencies","https://joystickinteractive.com","4551 Glencoe AveMarina Del Rey, CA 90292","","digital+agency","Los+Angeles,+CA"
"520260853","8 Digital Marketing Agency","(310) 461-6515","","4","","Paramount","","https://www.yellowpages.com/paramount-ca/mip/8-digital-marketing-agency-520260853?lid=520260853","Internet Marketing & Advertising, Web Site Hosting, Graphic Designers, Marketing Consultants, Web Site Design & Services","http://www.8-digitalmarketing.com","15000 Downey aveParamount, CA 90723","","digital+agency","Los+Angeles,+CA"
"531523510","LAS Digital Agency","(213) 245-1057","","15","","Sherman Oaks, South Valley","","https://www.yellowpages.com/sherman-oaks-ca/mip/las-digital-agency-531523510?lid=531523510","Advertising Agencies, Marketing Consultants","http://lookandsound.com","13437 Ventura Blvd Ste 209Sherman Oaks, CA 91423","","digital+agency","Los+Angeles,+CA"
"523567862","Roi Digital Agency","(562) 328-8062","","","","","","https://www.yellowpages.com/whittier-ca/mip/roi-digital-agency-523567862?lid=523567862","Computer Online Services, Computer Software & Services, Computer Technical Assistance & Support Services, Computer Software Publishers & Developers","","9362 Coachman AveWhittier, CA 90605","","digital+agency","Los+Angeles,+CA"
"475798422","Vokent Creative Digital Agency","(310) 664-8075","","","","West Los Angeles, Ocean Park","","https://www.yellowpages.com/santa-monica-ca/mip/vokent-creative-digital-agency-475798422?lid=475798422","Advertising Agencies","","2433 Main StSanta Monica, CA 90405","","digital+agency","Los+Angeles,+CA"
"543987773","Impact Digital Agency","(310) 866-1637","service@impactdigitalagency.com","","Web DesignWeb DevelopmentOnline MarketingSearch Engine OptimizationPay Per Click AdvertisingSocial Media MarketingLead GenerationDigital MarketingBrandingEmail Marketing","","We are a creative digital agency specializing in web and marketing services.   We create, enhance and elevate brands through carefully crafted brand identity, website design and user experience.  We grow your visibility on search engines and provide top rankings for your important keywords.","https://www.yellowpages.com/long-beach-ca/mip/impact-digital-agency-543987773?lid=543987773","Web Site Design & Services","http://impactdigitalagency.com","5150 E Pacific Coast Highway Ste 257Long Beach, CA 90804","","digital+agency","Los+Angeles,+CA"
"528479897","Cyberset - Digital Marketing Agency","(818) 883-7277","","","","Warner Center, Woodland Hills-Warner Center, South Valley","Cyberset is a full service digital marketing agency","https://www.yellowpages.com/woodland-hills-ca/mip/cyberset-digital-marketing-agency-528479897?lid=528479897","Advertising Agencies, Advertising Specialties, Marketing Consultants","http://www.cyberset.com","6300 Canoga Ave Ste 1130Woodland Hills, CA 91367","","digital+agency","Los+Angeles,+CA"
"533624513","Smart Vizio Los Angeles SEO and Digital Marketing Agency","(818) 914-8483","","","","","","https://www.yellowpages.com/woodland-hills-ca/mip/smart-vizio-los-angeles-seo-and-digital-marketing-agency-533624513?lid=533624513","Marketing Programs & Services, Advertising Agencies","http://www.smartvizio.com/los-angeles-seo","6110 Nevada Ave Apt 213Woodland Hills, CA 91367","","digital+agency","Los+Angeles,+CA"
"533822813","Bright Age Digital Creative Agency","(818) 887-0999","adam@brightage.com","6","","South Valley, Woodland Hills-Warner Center","","https://www.yellowpages.com/woodland-hills-ca/mip/bright-age-digital-creative-agency-533822813?lid=533822813","Marketing Programs & Services","http://brightage.com","22220 Gilmore StWoodland Hills, CA 91303","","digital+agency","Los+Angeles,+CA"
"548256745","Fivespot - Digital Marketing Agency, SEO, Social Media","(818) 964-0612","amir@fivespotmarketing.com","","","Reyes Adobe","Fivespot Marketing is a Local SEO & Social Media Marketing company in Ventura County & The Conejo Valley areas. We have helped small businesses increase their sales significantly with our proven next-gen Internet Marketing solutions. Contact us today for a FREE consultation!","https://www.yellowpages.com/agoura-hills-ca/mip/fivespot-digital-marketing-agency-seo-social-media-548256745?lid=548256745","Marketing Programs & Services, Public Relations Counselors, Advertising Agencies, Graphic Designers, Marketing Consultants","https://www.fivespotmarketing.com","30343 Canwood St Ste 212Agoura Hills, CA 91301","","digital+agency","Los+Angeles,+CA"
"541697907","Fullmoon Digital Agency","(805) 285-2144","","","","","","https://www.yellowpages.com/simi-valley-ca/mip/fullmoon-digital-agency-541697907?lid=541697907","Internet Marketing & Advertising, Marketing Consultants, Advertising Agencies","http://fullmoondigital.com","1518 River Wood CtSimi Valley, CA 93063","","digital+agency","Los+Angeles,+CA"
"533332950","Digital Develop","(415) 800-3742","ome199520@gmail.com","","","","Digital Develop is a creative branding, marketing and digital agency who helps businesses with conversion driven solutions.","https://www.yellowpages.com/beverly-hills-ca/mip/digital-develop-533332950?lid=533332950","Advertising Agencies","http://www.digitaldevelop.net","9350 Wilshire BlvdBeverly Hills, CA 90212","","digital+agency","Los+Angeles,+CA"
"538373290","Collective Digital Studio","(323) 370-1500","onajhairappts@gmail.com","8","","Beverly Hills, West Los Angeles","","https://www.yellowpages.com/beverly-hills-ca/mip/collective-digital-studio-538373290?lid=538373290","Sales Organizations, Advertising Agencies","http://www.thecollective-la.com","8383 Wilshire Blvd Ste 10Beverly Hills, CA 90211","","digital+agency","Los+Angeles,+CA"
"463631191","G 2 Direct & Digital","(818) 531-0700","","12","","Media Center, Burbank","","https://www.yellowpages.com/burbank-ca/mip/g-2-direct-digital-463631191?lid=463631191","Advertising Agencies","http://g2.com","3500 W Olive Ave Ste 700Burbank, CA 91505","","digital+agency","Los+Angeles,+CA"
"528142136","Geoklix Digital Marketing","(888) 238-7576","sales@geoklix.com","","","West Los Angeles, Beverly Hills","Digital Marketing Agency","https://www.yellowpages.com/beverly-hills-ca/mip/geoklix-digital-marketing-528142136?lid=528142136","Advertising Agencies, Marketing Consultants","http://www.geoklix.com","468 N Camden DrBeverly Hills, CA 90210","","digital+agency","Los+Angeles,+CA"
"455516343","Digital Artist Management","(310) 414-6800","","19","","El Segundo","Digital Artist Management offers placement solutions for development teams, executives, programmers, artists, designers and producers with expertise in video game and interactive content development solutions. In operation for more than five years, the company maintains offices in Los Angeles and Walnut Creek in California. It serves publishers and games-related technology companies. Digital Artist Management provides career placement services for full-time and contract professionals. The company also offers on-site staffing and outplacement solutions. Its clients include BioWare, Naughty Dog, Insomniac Games and Sony Online Entertainment. Digital Artist Management is a founding member of the Professional Electronic Entertainment Recruiters Network. The company s Production Road is a full-service studio.","https://www.yellowpages.com/el-segundo-ca/mip/digital-artist-management-455516343?lid=455516343","Management Consultants, Employment Agencies","http://digitalartistmanagement.com","898 N Sepulveda BlvdEl Segundo, CA 90245","","digital+agency","Los+Angeles,+CA"
"547522505","Jive PR + Digital","(310) 753-7968","info@jiveprdigital.com","10","","Manhattan Village","Creating a product or brand is a large step for any company.  Marketing that product or managing that brand, is the hardest part.  At Jive PR + Digital, we tell stories.  We are an award-winning public relations firm and social media marketing agency that specializes in shaping stories and igniting conversations.  Whether you need custom communication with public relations, or you need to elevate your brand with social media marketing, we want to tell you story.  Contact us today for a consultation!","https://www.yellowpages.com/manhattan-beach-ca/mip/jive-pr-digital-547522505?lid=547522505","Public Relations Counselors, Advertising Agencies","http://www.jiveprdigital.com","1240 Rosecrans AveManhattan Beach, CA 90266","","digital+agency","Los+Angeles,+CA"
"503314682","Apex Digital Media","(310) 894-1218","info@apexdigitalmedia.com","","","","Los Angeles web design, advertising, and social media company.","https://www.yellowpages.com/van-nuys-ca/mip/apex-digital-media-503314682?lid=503314682","Internet Marketing & Advertising, Advertising Agencies, Graphic Designers, Video Production Services, Web Site Design & Services","http://www.apexdigitalmedia.com","14737 Oxnard StVan Nuys, CA 91411","","digital+agency","Los+Angeles,+CA"
"463584154","Orbit Digital Marketing","(818) 396-7248","","","","Central LA, Hollywood Hills West, Universal City","","https://www.yellowpages.com/universal-city-ca/mip/orbit-digital-marketing-463584154?lid=463584154","Advertising Agencies, Video Production Services, Advertising Specialties","","10 Universal City PlzUniversal City, CA 91608","","digital+agency","Los+Angeles,+CA"
"505407471","Gotunionprinting.com","(818) 282-2698","Demetrius@harmanpress.com","76","","","","https://www.yellowpages.com/north-hollywood-ca/mip/gotunionprinting-com-505407471?lid=505407471","Print Advertising, Marking & Coding Equipment, Product Design, Development & Marketing, Advertising Agencies, Digital Printing & Imaging","http://aandi.com","6840 Vineland AveNorth hollywood, CA 91605","","digital+agency","Los+Angeles,+CA"
"536696331","Atgames Digital Media Inc","(310) 286-2222","","18","","El Segundo","","https://www.yellowpages.com/el-segundo-ca/mip/atgames-digital-media-inc-536696331?lid=536696331","Advertising Agencies","http://atgamescloud.net","258 Kansas StEl Segundo, CA 90245","","digital+agency","Los+Angeles,+CA"
"467690337","Wide Group Digital Motion","(818) 344-9703","info@widegroup.net","","","West Los Angeles, Pico","","https://www.yellowpages.com/santa-monica-ca/mip/wide-group-digital-motion-467690337?lid=467690337","Advertising Agencies, Advertising Specialties","http://widegroup.net","1620 26th St Ste 300Santa Monica, CA 90404","","digital+agency","Los+Angeles,+CA"
"474676728","Prehistoric Digital","(310) 828-6120","","","","West Los Angeles, Mid-City","","https://www.yellowpages.com/santa-monica-ca/mip/prehistoric-digital-474676728?lid=474676728","Computer Graphics, Advertising Agencies, Computer Software & Services, Video Production Services, Computer Software Publishers & Developers","http://www.prehistoricdigital.com","2043 Colorado AveSanta Monica, CA 90404","","digital+agency","Los+Angeles,+CA"
"485050274","Pemberley Digital","(323) 459-4660","","","","Pico, West Los Angeles","","https://www.yellowpages.com/santa-monica-ca/mip/pemberley-digital-485050274?lid=485050274","Advertising Agencies","http://collinsncollins.com","1728 Olympic BlvdSanta Monica, CA 90404","","digital+agency","Los+Angeles,+CA"
"455772202","Digital Advertising Systems","(562) 464-3841","","21","Home Theater Systems","Whittier","","https://www.yellowpages.com/whittier-ca/mip/digital-advertising-systems-455772202?lid=455772202","Advertising Agencies, Graphic Designers, Advertising Specialties","","15025 Whittier BlvdWhittier, CA 90603","","digital+agency","Los+Angeles,+CA"
"5127205","Digital Playground Inc","(818) 376-8488","ali@digitalplayground.com","","","South Valley, Lake Balboa","","https://www.yellowpages.com/van-nuys-ca/mip/digital-playground-inc-5127205?lid=5127205","Family & Business Entertainers, Entertainment Agencies & Bureaus","http://www.digitalplayground.com","16134 Hart StVan Nuys, CA 91406","","digital+agency","Los+Angeles,+CA"
"18111089","Mark Blu Digital Media","(310) 320-6277","","17","","Torrance","","https://www.yellowpages.com/torrance-ca/mip/mark-blu-digital-media-18111089?lid=18111089","Advertising Agencies","http://www.markbludigital.com","20515 Gramercy PlTorrance, CA 90501","1","digital+agency","Los+Angeles,+CA"
"471029479","Designory Inc","(562) 624-0200","","49","","Downtown Long Beach, Promenade","The Designory is a branch subsidiary of Omnicom Group. Omnicom Group is a strategic holding company that manages a portfolio of world market leaders. Its companies operate in the disciplines of advertising, marketing services, specialty communications, interactive and digital media and media buying services. The firm has worldwide brands that include BBDO Worldwide, DDB Worldwide and TBWA Worldwide. Its leading United States-based national advertising agencies include Arnell Group, Goodby, Silverstein & Partners, GSD&M, Martin, Williams, Merkley Newman Harty Partners and Zimmerman Partners. Omnicom s diversified agency services consist of a worldwide enterprise of more than 100 companies that provide services in direct marketing consultancy, public relations, promotional marketing and specialty communications. The company s leading media agencies are part of OMG and the group consists of two full service media companies, OMD Worldwide and PHD Network, as well as several media specialist companies. The Designory is located in Long Beach, Calif., where it employs nearly 160 people.","https://www.yellowpages.com/long-beach-ca/mip/designory-inc-471029479?lid=471029479","Advertising Agencies, Graphic Designers, Digital Printing & Imaging","","211 E Ocean BlvdLong Beach, CA 90802","","digital+agency","Los+Angeles,+CA"
"535077732","Digital Owl Group","(657) 253-7070","info@digitalowlgroup.com","2","","","Digital Owl Group has worked hard to earn the reputation for best internet marketing service in Fullerton. We offer unparallel SEO marketing strategies, social media management, reputation management, and web design services. Our search engine optimization packages are tailored to fit each business' individual needs. We only use cutting edge, proven search engine marketing, and social media marketing techniques that are trusted by some of the top brands online.","https://www.yellowpages.com/fullerton-ca/mip/digital-owl-group-535077732?lid=535077732","Internet Marketing & Advertising, Advertising Specialties, Marketing Programs & Services, Internet Directories, Advertising Agencies","http://digitalowlgroup.com","2271 W Malvern Ave. Unit 272Fullerton, CA 92833","1","digital+agency","Los+Angeles,+CA"
"485461822","Navazon Digital","(818) 534-2200","","16","","Chatsworth, North Valley","Navazon Digital was started by software engineers and marketers when the internet was just getting started.  We have been writing software, creating online stores and helping our clients succeed online since the 90’s. We have deep roots in Direct to Consumer marketing from print media to infomercials and digital media.   We are much more hands on and more accessible than your average online company that may be out of state, or even out of the country.  We are based in Chatsworth, in the suburbs of Los Angeles. We visit your office and take the time to learn what makes your business unique and devise a strategy that will help surpass your competitors and get you a larger market share.  We understand business people-because we are business people.  Our entrepreneurial spirit, technical savvy and marketing experience help companies expand their business and outrank their competitors.  We've helped our clients reach Inc. 5000 in less than 2 years and we have turned small garage businesses into multi-million dollar businesses with multiple offices.  Whether you are an entrepreneur looking for a website for your start-up or an established business looking for a fresh look and a larger market share, we work hand-in-hand with you to create the website of your dreams.  Any good business owner knows- when you want the best, you hire the best.  Our number one goal is to make you happy and to grow your business because your success is our success.  We've had 100% retention rate with our clients.  Give us a call or stop by and let us show you the possibilities.","https://www.yellowpages.com/chatsworth-ca/mip/navazon-digital-485461822?lid=485461822","Internet Marketing & Advertising, Advertising Agencies, Business Coaches & Consultants, Web Site Design & Services, Computer Software Publishers & Developers","http://www.navazondigital.com","9310 Topanga Canyon Blvd Ste 100bChatsworth, CA 91311","","digital+agency","Los+Angeles,+CA"
"546968581","Digital Media World","(818) 678-6627","","","","Reseda, South Valley","","https://www.yellowpages.com/reseda-ca/mip/digital-media-world-546968581?lid=546968581","Advertising Agencies","","7420 Corbin AveReseda, CA 91335","","digital+agency","Los+Angeles,+CA"
"536606903","Prevalent Digital Media","(714) 743-3112","","","","East Anaheim","","https://www.yellowpages.com/anaheim-ca/mip/prevalent-digital-media-536606903?lid=536606903","Advertising Agencies","","542 S Barnett StAnaheim, CA 92805","","digital+agency","Los+Angeles,+CA"
"532180461","Congruent Digital","(714) 559-3622","","4","","Huntington Beach, Huntington Harbour","","https://www.yellowpages.com/huntington-beach-ca/mip/congruent-digital-532180461?lid=532180461","Internet Marketing & Advertising, Advertising Agencies, Marketing Consultants, Advertising Specialties","https://congruentdigital.com","16821 Algonquin St Ste 107Huntington Beach, CA 92649","","digital+agency","Los+Angeles,+CA"
"475513249","Digital Printing Solutions","(714) 916-3422","","7","","Huntington Beach","","https://www.yellowpages.com/huntington-beach-ca/mip/digital-printing-solutions-475513249?lid=475513249","Direct Mail Advertising, Advertising Agencies, Advertising Specialties","","8032 Mermaid CirHuntington Beach, CA 92646","","digital+agency","Los+Angeles,+CA"
"535212288","Legacy Digital Productions","(949) 757-0993","info@legacydigital.net","17","","","","https://www.yellowpages.com/orange-ca/mip/legacy-digital-productions-535212288?lid=535212288","Video Production Services, Recording Service-Sound & Video, CD, DVD & Cassette Duplicating Services, Advertising Agencies","","202 W Lincoln Ave Ste AOrange, CA 92865","","digital+agency","Los+Angeles,+CA"
"503120458","Datasat Digital Entertainment","(805) 306-5956","","26","","","","https://www.yellowpages.com/simi-valley-ca/mip/datasat-digital-entertainment-503120458?lid=503120458","Family & Business Entertainers, Entertainment Agencies & Bureaus","http://www.datasatdigital.com","4596 Ish DrSimi Valley, CA 93063","","digital+agency","Los+Angeles,+CA"
"470553946","Digital Eye Media","(949) 333-8953","sales@digitaleyemedia.com","","","John Wayne Airport","","https://www.yellowpages.com/costa-mesa-ca/mip/digital-eye-media-470553946?lid=470553946","Internet Marketing & Advertising, Advertising Agencies","http://www.digitaleyemedia.com","3132 Airway AveCosta Mesa, CA 92626","","digital+agency","Los+Angeles,+CA"
"483305879","Digital Media Wire Inc","(310) 855-0033","","9","","","","https://www.yellowpages.com/nationwide/mip/digital-media-wire-inc-483305879?lid=483305879","Publishing Consultants, Advertising Agencies","http://www.jmsdigi.com","Serving the Los Angeles Area","","digital+agency","Los+Angeles,+CA"
"480807875","Digital Revolution - CLOSED","(562) 595-9454","info@the-digitalrevolution.com","","","Bixby Knolls","","https://www.yellowpages.com/long-beach-ca/mip/digital-revolution-480807875?lid=480807875","Computer Graphics, Advertising Agencies","","4134 Atlantic Ave Ste 201Long Beach, CA 90807","","digital+agency","Los+Angeles,+CA"
"10660822","Sunset Digital Video Inc - CLOSED","","","","","Holly Glen - Del Aire, Hawthorne","","https://www.yellowpages.com/hawthorne-ca/mip/sunset-digital-video-inc-10660822?lid=10660822","Advertising Agencies","","13405 Inglewood AveHawthorne, CA 90250","","digital+agency","Los+Angeles,+CA"


ISO3,Location,DataId,Indicator,Value,Precision,DHS_CountryCode,CountryName,SurveyYear,SurveyId,IndicatorId,IndicatorOrder,IndicatorType,CharacteristicId,CharacteristicOrder,CharacteristicCategory,CharacteristicLabel,ByVariableId,ByVariableLabel,IsTotal,IsPreferred,SDRID,RegionId,SurveyYearLabel,SurveyType,DenominatorWeighted,DenominatorUnweighted,CILow,CIHigh
#country+code,#loc+name,#meta+id,#indicator+name,#indicator+value+num,#indicator+precision,,#country+name,#date+year,#survey+id,#indicator+code,,,,,,,#indicator+label+code,#indicator+label,,,,,,,,,,
AFG,Kabul,2054706,Total fertility rate 15-49,4.6,1,AF,Afghanistan,2015,AF2015DHS,FE_FRTR_W_TFR,11763080,I,534001,1534001,Region,Kabul,0,,0,1,FEFRTRWTFR,AFDHS2015534001,2015,DHS,,,,
AFG,Paktika,2059715,Total fertility rate 15-49,5.3,1,AF,Afghanistan,2015,AF2015DHS,FE_FRTR_W_TFR,11763080,I,534012,1534012,Region,..Paktika,0,,0,1,FEFRTRWTFR,AFDHS2015534012,2015,DHS,,,,
AFG,Badakhshan,2054719,Total fertility rate 15-49,5.3,1,AF,Afghanistan,2015,AF2015DHS,FE_FRTR_W_TFR,11763080,I,534017,1534017,Region,Badakhshan,0,,0,1,FEFRTRWTFR,AFDHS2015534017,2015,DHS,,,,
AFG,Daykundi,2057252,Total fertility rate 15-49,5.2,1,AF,Afghanistan,2015,AF2015DHS,FE_FRTR_W_TFR,11763080,I,534024,1534024,Region,Daykundi,0,,0,1,FEFRTRWTFR,AFDHS2015534024,2015,DHS,,,,
AFG,Zabul,2052669,Total fertility rate 15-49,5.1,1,AF,Afghanistan,2015,AF2015DHS,FE_FRTR_W_TFR,11763080,I,534026,1534026,Region,Zabul,0,,0,1,FEFRTRWTFR,AFDHS2015534026,2015,DHS,,,,
AFG,Kabul,2507369,Married women currently using any method of contraception,32.1,1,AF,Afghanistan,2015,AF2015DHS,FP_CUSM_W_ANY,32633010,I,534001,1534001,Region,Kabul,0,,0,1,FPCUSMWANY,AFDHS2015534001,2015,DHS,3571,737,,
AFG,Paktika,670283,Married women currently using any method of contraception,28.9,1,AF,Afghanistan,2015,AF2015DHS,FP_CUSM_W_ANY,32633010,I,534012,1534012,Region,..Paktika,0,,0,1,FPCUSMWANY,AFDHS2015534012,2015,DHS,779,1096,,
AFG,Badakhshan,3670107,Married women currently using any method of contraception,7.8,1,AF,Afghanistan,2015,AF2015DHS,FP_CUSM_W_ANY,32633010,I,534017,1534017,Region,Badakhshan,0,,0,1,FPCUSMWANY,AFDHS2015534017,2015,DHS,968,802,,
AFG,Daykundi,836859,Married women currently using any method of contraception,11,1,AF,Afghanistan,2015,AF2015DHS,FP_CUSM_W_ANY,32633010,I,534024,1534024,Region,Daykundi,0,,0,1,FPCUSMWANY,AFDHS2015534024,2015,DHS,319,648,,
AFG,Zabul,499194,Married women currently using any method of contraception,26.7,1,AF,Afghanistan,2015,AF2015DHS,FP_CUSM_W_ANY,32633010,I,534026,1534026,Region,Zabul,0,,0,1,FPCUSMWANY,AFDHS2015534026,2015,DHS,20,170,,
AFG,Kabul,2507370,Married women currently using any modern method of contraception,26.5,1,AF,Afghanistan,2015,AF2015DHS,FP_CUSM_W_MOD,32633020,I,534001,1534001,Region,Kabul,0,,0,1,FPCUSMWMOD,AFDHS2015534001,2015,DHS,3571,737,,
AFG,Paktika,670284,Married women currently using any modern method of contraception,26.1,1,AF,Afghanistan,2015,AF2015DHS,FP_CUSM_W_MOD,32633020,I,534012,1534012,Region,..Paktika,0,,0,1,FPCUSMWMOD,AFDHS2015534012,2015,DHS,779,1096,,
AFG,Badakhshan,3670108,Married women currently using any modern method of contraception,7.2,1,AF,Afghanistan,2015,AF2015DHS,FP_CUSM_W_MOD,32633020,I,534017,1534017,Region,Badakhshan,0,,0,1,FPCUSMWMOD,AFDHS2015534017,2015,DHS,968,802,,
AFG,Daykundi,836860,Married women currently using any modern method of contraception,11,1,AF,Afghanistan,2015,AF2015DHS,FP_CUSM_W_MOD,32633020,I,534024,1534024,Region,Daykundi,0,,0,1,FPCUSMWMOD,AFDHS2015534024,2015,DHS,319,648,,
AFG,Zabul,499195,Married women currently using any modern method of contraception,26.7,1,AF,Afghanistan,2015,AF2015DHS,FP_CUSM_W_MOD,32633020,I,534026,1534026,Region,Zabul,0,,0,1,FPCUSMWMOD,AFDHS2015534026,2015,DHS,20,170,,
AFG,Kabul,2958785,Unmet need for family planning,26,1,AF,Afghanistan,2015,AF2015DHS,FP_NADM_W_UNT,32933030,I,534001,1534001,Region,Kabul,0,,0,1,FPNADMWUNT,AFDHS2015534001,2015,DHS,3571,737,,
AFG,Paktika,2696371,Unmet need for family planning,20.3,1,AF,Afghanistan,2015,AF2015DHS,FP_NADM_W_UNT,32933030,I,534012,1534012,Region,..Paktika,0,,0,1,FPNADMWUNT,AFDHS2015534012,2015,DHS,779,1096,,
AFG,Badakhshan,2507526,Unmet need for family planning,39.1,1,AF,Afghanistan,2015,AF2015DHS,FP_NADM_W_UNT,32933030,I,534017,1534017,Region,Badakhshan,0,,0,1,FPNADMWUNT,AFDHS2015534017,2015,DHS,968,802,,
AFG,Daykundi,2508918,Unmet need for family planning,36.2,1,AF,Afghanistan,2015,AF2015DHS,FP_NADM_W_UNT,32933030,I,534024,1534024,Region,Daykundi,0,,0,1,FPNADMWUNT,AFDHS2015534024,2015,DHS,319,648,,
AFG,Zabul,3698311,Unmet need for family planning,25.3,1,AF,Afghanistan,2015,AF2015DHS,FP_NADM_W_UNT,32933030,I,534026,1534026,Region,Zabul,0,,0,1,FPNADMWUNT,AFDHS2015534026,2015,DHS,20,170,,
AFG,Kabul,448663,Demand for family planning satisfied by modern methods,45.6,1,AF,Afghanistan,2015,AF2015DHS,FP_NADM_W_PDM,32933150,I,534001,1534001,Region,Kabul,0,,0,1,FPNADMWPDM,AFDHS2015534001,2015,DHS,2074,435,,
AFG,Paktika,2777704,Demand for family planning satisfied by modern methods,52.9,1,AF,Afghanistan,2015,AF2015DHS,FP_NADM_W_PDM,32933150,I,534012,1534012,Region,..Paktika,0,,0,1,FPNADMWPDM,AFDHS2015534012,2015,DHS,383,545,,
AFG,Badakhshan,2507518,Demand for family planning satisfied by modern methods,15.3,1,AF,Afghanistan,2015,AF2015DHS,FP_NADM_W_PDM,32933150,I,534017,1534017,Region,Badakhshan,0,,0,1,FPNADMWPDM,AFDHS2015534017,2015,DHS,454,400,,
AFG,Daykundi,3938518,Demand for family planning satisfied by modern methods,23.4,1,AF,Afghanistan,2015,AF2015DHS,FP_NADM_W_PDM,32933150,I,534024,1534024,Region,Daykundi,0,,0,1,FPNADMWPDM,AFDHS2015534024,2015,DHS,151,327,,
AFG,Zabul,2506228,Demand for family planning satisfied by modern methods,51.3,1,AF,Afghanistan,2015,AF2015DHS,FP_NADM_W_PDM,32933150,I,534026,1534026,Region,Zabul,0,,0,1,FPNADMWPDM,AFDHS2015534026,2015,DHS,10,92,,
AFG,Kabul,1092086,Median age at first marriage [Women]: 25-49,19.2,1,AF,Afghanistan,2015,AF2015DHS,MA_AAFM_W_M2B,41633090,I,534001,1534001,Region,Kabul,0,,0,1,MAAAFMWM2B,AFDHS2015534001,2015,DHS,,,,
AFG,Paktika,1093748,Median age at first marriage [Women]: 25-49,20.5,1,AF,Afghanistan,2015,AF2015DHS,MA_AAFM_W_M2B,41633090,I,534012,1534012,Region,..Paktika,0,,0,1,MAAAFMWM2B,AFDHS2015534012,2015,DHS,,,,
AFG,Badakhshan,1092175,Median age at first marriage [Women]: 25-49,17.3,1,AF,Afghanistan,2015,AF2015DHS,MA_AAFM_W_M2B,41633090,I,534017,1534017,Region,Badakhshan,0,,0,1,MAAAFMWM2B,AFDHS2015534017,2015,DHS,,,,
AFG,Daykundi,1090868,Median age at first marriage [Women]: 25-49,17.5,1,AF,Afghanistan,2015,AF2015DHS,MA_AAFM_W_M2B,41633090,I,534024,1534024,Region,Daykundi,0,,0,1,MAAAFMWM2B,AFDHS2015534024,2015,DHS,,,,
AFG,Zabul,1089025,Median age at first marriage [Women]: 25-49,18.6,1,AF,Afghanistan,2015,AF2015DHS,MA_AAFM_W_M2B,41633090,I,534026,1534026,Region,Zabul,0,,0,1,MAAAFMWM2B,AFDHS2015534026,2015,DHS,,,,
AFG,Kabul,1092285,Median age at first sexual intercourse [Women]: 25-49,19.3,1,AF,Afghanistan,2015,AF2015DHS,SX_AAFS_W_M2B,51703090,I,534001,1534001,Region,Kabul,0,,0,1,SXAAFSWM2B,AFDHS2015534001,2015,DHS,,,,
AFG,Paktika,1093992,Median age at first sexual intercourse [Women]: 25-49,20.8,1,AF,Afghanistan,2015,AF2015DHS,SX_AAFS_W_M2B,51703090,I,534012,1534012,Region,..Paktika,0,,0,1,SXAAFSWM2B,AFDHS2015534012,2015,DHS,,,,
AFG,Badakhshan,1092366,Median age at first sexual intercourse [Women]: 25-49,17.7,1,AF,Afghanistan,2015,AF2015DHS,SX_AAFS_W_M2B,51703090,I,534017,1534017,Region,Badakhshan,0,,0,1,SXAAFSWM2B,AFDHS2015534017,2015,DHS,,,,
AFG,Daykundi,1091006,Median age at first sexual intercourse [Women]: 25-49,18.9,1,AF,Afghanistan,2015,AF2015DHS,SX_AAFS_W_M2B,51703090,I,534024,1534024,Region,Daykundi,0,,0,1,SXAAFSWM2B,AFDHS2015534024,2015,DHS,,,,
AFG,Zabul,1089236,Median age at first sexual intercourse [Women]: 25-49,19,1,AF,Afghanistan,2015,AF2015DHS,SX_AAFS_W_M2B,51703090,I,534026,1534026,Region,Zabul,0,,0,1,SXAAFSWM2B,AFDHS2015534026,2015,DHS,,,,
AFG,Kabul,1635004,Infant mortality rate,36,0,AF,Afghanistan,2015,AF2015DHS,CM_ECMR_C_IMR,63206030,I,534001,1534001,Region,Kabul,14003,Ten years preceding the survey,0,1,CMECMRCIMR,AFDHS2015534001,2015,DHS,,,26,46
AFG,Paktika,1062631,Infant mortality rate,13,0,AF,Afghanistan,2015,AF2015DHS,CM_ECMR_C_IMR,63206030,I,534012,1534012,Region,..Paktika,14003,Ten years preceding the survey,0,1,CMECMRCIMR,AFDHS2015534012,2015,DHS,,,8,19
AFG,Badakhshan,1035464,Infant mortality rate,68,0,AF,Afghanistan,2015,AF2015DHS,CM_ECMR_C_IMR,63206030,I,534017,1534017,Region,Badakhshan,14003,Ten years preceding the survey,0,1,CMECMRCIMR,AFDHS2015534017,2015,DHS,,,48,88
AFG,Daykundi,1013790,Infant mortality rate,28,0,AF,Afghanistan,2015,AF2015DHS,CM_ECMR_C_IMR,63206030,I,534024,1534024,Region,Daykundi,14003,Ten years preceding the survey,0,1,CMECMRCIMR,AFDHS2015534024,2015,DHS,,,18,39
AFG,Zabul,1641489,Infant mortality rate,17,0,AF,Afghanistan,2015,AF2015DHS,CM_ECMR_C_IMR,63206030,I,534026,1534026,Region,Zabul,14003,Ten years preceding the survey,0,1,CMECMRCIMR,AFDHS2015534026,2015,DHS,,,0,34
AFG,Kabul,1045570,Under-five mortality rate,43,0,AF,Afghanistan,2015,AF2015DHS,CM_ECMR_C_U5M,63206050,I,534001,1534001,Region,Kabul,14003,Ten years preceding the survey,0,1,CMECMRCU5M,AFDHS2015534001,2015,DHS,,,31,55
AFG,Paktika,1640984,Under-five mortality rate,21,0,AF,Afghanistan,2015,AF2015DHS,CM_ECMR_C_U5M,63206050,I,534012,1534012,Region,..Paktika,14003,Ten years preceding the survey,0,1,CMECMRCU5M,AFDHS2015534012,2015,DHS,,,13,28
AFG,Badakhshan,1639460,Under-five mortality rate,107,0,AF,Afghanistan,2015,AF2015DHS,CM_ECMR_C_U5M,63206050,I,534017,1534017,Region,Badakhshan,14003,Ten years preceding the survey,0,1,CMECMRCU5M,AFDHS2015534017,2015,DHS,,,73,141
AFG,Daykundi,1641545,Under-five mortality rate,41,0,AF,Afghanistan,2015,AF2015DHS,CM_ECMR_C_U5M,63206050,I,534024,1534024,Region,Daykundi,14003,Ten years preceding the survey,0,1,CMECMRCU5M,AFDHS2015534024,2015,DHS,,,29,54
AFG,Zabul,1642938,Under-five mortality rate,21,0,AF,Afghanistan,2015,AF2015DHS,CM_ECMR_C_U5M,63206050,I,534026,1534026,Region,Zabul,14003,Ten years preceding the survey,0,1,CMECMRCU5M,AFDHS2015534026,2015,DHS,,,4,38
AFG,Kabul,1189677,Place of delivery: Health facility,83.6,1,AF,Afghanistan,2015,AF2015DHS,RH_DELP_C_DHF,83566070,I,534001,1534001,Region,Kabul,14000,Three years preceding the survey,0,0,RHDELPCDHF,AFDHS2015534001,2015,DHS,2377,466,,
AFG,Kabul,466343,Place of delivery: Health facility,82.4,1,AF,Afghanistan,2015,AF2015DHS,RH_DELP_C_DHF,83566070,I,534001,1534001,Region,Kabul,14001,Five years preceding the survey,0,1,RHDELPCDHF,AFDHS2015534001,2015,DHS,3769,769,,
AFG,Paktika,466314,Place of delivery: Health facility,41.2,1,AF,Afghanistan,2015,AF2015DHS,RH_DELP_C_DHF,83566070,I,534012,1534012,Region,..Paktika,14000,Three years preceding the survey,0,0,RHDELPCDHF,AFDHS2015534012,2015,DHS,507,705,,
AFG,Paktika,1195792,Place of delivery: Health facility,35.8,1,AF,Afghanistan,2015,AF2015DHS,RH_DELP_C_DHF,83566070,I,534012,1534012,Region,..Paktika,14001,Five years preceding the survey,0,1,RHDELPCDHF,AFDHS2015534012,2015,DHS,874,1219,,
AFG,Badakhshan,887316,Place of delivery: Health facility,24.3,1,AF,Afghanistan,2015,AF2015DHS,RH_DELP_C_DHF,83566070,I,534017,1534017,Region,Badakhshan,14000,Three years preceding the survey,0,0,RHDELPCDHF,AFDHS2015534017,2015,DHS,605,512,,
AFG,Badakhshan,1192007,Place of delivery: Health facility,22.4,1,AF,Afghanistan,2015,AF2015DHS,RH_DELP_C_DHF,83566070,I,534017,1534017,Region,Badakhshan,14001,Five years preceding the survey,0,1,RHDELPCDHF,AFDHS2015534017,2015,DHS,939,801,,
AFG,Daykundi,810092,Place of delivery: Health facility,24.1,1,AF,Afghanistan,2015,AF2015DHS,RH_DELP_C_DHF,83566070,I,534024,1534024,Region,Daykundi,14000,Three years preceding the survey,0,0,RHDELPCDHF,AFDHS2015534024,2015,DHS,197,394,,
AFG,Daykundi,2871326,Place of delivery: Health facility,22.7,1,AF,Afghanistan,2015,AF2015DHS,RH_DELP_C_DHF,83566070,I,534024,1534024,Region,Daykundi,14001,Five years preceding the survey,0,1,RHDELPCDHF,AFDHS2015534024,2015,DHS,315,642,,
AFG,Zabul,3115932,Place of delivery: Health facility,30.7,1,AF,Afghanistan,2015,AF2015DHS,RH_DELP_C_DHF,83566070,I,534026,1534026,Region,Zabul,14000,Three years preceding the survey,0,0,RHDELPCDHF,AFDHS2015534026,2015,DHS,14,118,,
AFG,Zabul,1194217,Place of delivery: Health facility,26,1,AF,Afghanistan,2015,AF2015DHS,RH_DELP_C_DHF,83566070,I,534026,1534026,Region,Zabul,14001,Five years preceding the survey,0,1,RHDELPCDHF,AFDHS2015534026,2015,DHS,25,215,,
AFG,Kabul,1403202,Received all 8 basic vaccinations,55.6,1,AF,Afghanistan,2015,AF2015DHS,CH_VACC_C_BAS,93906230,I,534001,1534001,Region,Kabul,0,,0,1,CHVACCCBAS,AFDHS2015534001,2015,DHS,718,147,,
AFG,Paktika,2871535,Received all 8 basic vaccinations,74.5,1,AF,Afghanistan,2015,AF2015DHS,CH_VACC_C_BAS,93906230,I,534012,1534012,Region,..Paktika,0,,0,1,CHVACCCBAS,AFDHS2015534012,2015,DHS,181,237,,
AFG,Badakhshan,1403243,Received all 8 basic vaccinations,71.7,1,AF,Afghanistan,2015,AF2015DHS,CH_VACC_C_BAS,93906230,I,534017,1534017,Region,Badakhshan,0,,0,1,CHVACCCBAS,AFDHS2015534017,2015,DHS,156,144,,
AFG,Daykundi,1404551,Received all 8 basic vaccinations,33.7,1,AF,Afghanistan,2015,AF2015DHS,CH_VACC_C_BAS,93906230,I,534024,1534024,Region,Daykundi,0,,0,1,CHVACCCBAS,AFDHS2015534024,2015,DHS,63,124,,
AFG,Zabul,2731542,Received all 8 basic vaccinations,19.7,1,AF,Afghanistan,2015,AF2015DHS,CH_VACC_C_BAS,93906230,I,534026,1534026,Region,Zabul,0,,0,1,CHVACCCBAS,AFDHS2015534026,2015,DHS,3,25,,
AFG,Kabul,298235,Treatment of diarrhea: Either ORS or RHF,47.7,1,AF,Afghanistan,2015,AF2015DHS,CH_DIAT_C_ORT,94106040,I,534001,1534001,Region,Kabul,14000,Three years preceding the survey,0,0,CHDIATCORT,AFDHS2015534001,2015,DHS,893,165,,
AFG,Kabul,1407131,Treatment of diarrhea: Either ORS or RHF,50.2,1,AF,Afghanistan,2015,AF2015DHS,CH_DIAT_C_ORT,94106040,I,534001,1534001,Region,Kabul,14001,Five years preceding the survey,0,1,CHDIATCORT,AFDHS2015534001,2015,DHS,1133,229,,
AFG,Paktika,1407116,Treatment of diarrhea: Either ORS or RHF,98.1,1,AF,Afghanistan,2015,AF2015DHS,CH_DIAT_C_ORT,94106040,I,534012,1534012,Region,..Paktika,14000,Three years preceding the survey,0,0,CHDIATCORT,AFDHS2015534012,2015,DHS,75,104,,
AFG,Paktika,3645924,Treatment of diarrhea: Either ORS or RHF,98.7,1,AF,Afghanistan,2015,AF2015DHS,CH_DIAT_C_ORT,94106040,I,534012,1534012,Region,..Paktika,14001,Five years preceding the survey,0,1,CHDIATCORT,AFDHS2015534012,2015,DHS,137,196,,
AFG,Badakhshan,1403562,Treatment of diarrhea: Either ORS or RHF,80,1,AF,Afghanistan,2015,AF2015DHS,CH_DIAT_C_ORT,94106040,I,534017,1534017,Region,Badakhshan,14000,Three years preceding the survey,0,0,CHDIATCORT,AFDHS2015534017,2015,DHS,152,143,,
AFG,Badakhshan,180864,Treatment of diarrhea: Either ORS or RHF,83.7,1,AF,Afghanistan,2015,AF2015DHS,CH_DIAT_C_ORT,94106040,I,534017,1534017,Region,Badakhshan,14001,Five years preceding the survey,0,1,CHDIATCORT,AFDHS2015534017,2015,DHS,208,196,,
AFG,Daykundi,3016386,Treatment of diarrhea: Either ORS or RHF,35.3,1,AF,Afghanistan,2015,AF2015DHS,CH_DIAT_C_ORT,94106040,I,534024,1534024,Region,Daykundi,14000,Three years preceding the survey,0,0,CHDIATCORT,AFDHS2015534024,2015,DHS,36,69,,
AFG,Daykundi,3880927,Treatment of diarrhea: Either ORS or RHF,38.9,1,AF,Afghanistan,2015,AF2015DHS,CH_DIAT_C_ORT,94106040,I,534024,1534024,Region,Daykundi,14001,Five years preceding the survey,0,1,CHDIATCORT,AFDHS2015534024,2015,DHS,46,87,,
AFG,Kabul,2053932,Median duration of exclusive breastfeeding,1.8,1,AF,Afghanistan,2015,AF2015DHS,CN_BFDR_C_MDE,104336020,I,534001,1534001,Region,Kabul,0,,0,1,CNBFDRCMDE,AFDHS2015534001,2015,DHS,,,,
AFG,Paktika,2050101,Median duration of exclusive breastfeeding,6,1,AF,Afghanistan,2015,AF2015DHS,CN_BFDR_C_MDE,104336020,I,534012,1534012,Region,..Paktika,0,,0,1,CNBFDRCMDE,AFDHS2015534012,2015,DHS,,,,
AFG,Badakhshan,2053977,Median duration of exclusive breastfeeding,4.1,1,AF,Afghanistan,2015,AF2015DHS,CN_BFDR_C_MDE,104336020,I,534017,1534017,Region,Badakhshan,0,,0,1,CNBFDRCMDE,AFDHS2015534017,2015,DHS,,,,
AFG,Daykundi,2056458,Median duration of exclusive breastfeeding,6,1,AF,Afghanistan,2015,AF2015DHS,CN_BFDR_C_MDE,104336020,I,534024,1534024,Region,Daykundi,0,,0,1,CNBFDRCMDE,AFDHS2015534024,2015,DHS,,,,
AFG,Zabul,2051950,Median duration of exclusive breastfeeding,2.8,1,AF,Afghanistan,2015,AF2015DHS,CN_BFDR_C_MDE,104336020,I,534026,1534026,Region,Zabul,0,,0,1,CNBFDRCMDE,AFDHS2015534026,2015,DHS,,,,
AFG,Kabul,3687207,Children under 5 who slept under an insecticide-treated net (ITN),2.3,1,AF,Afghanistan,2015,AF2015DHS,ML_NETC_C_ITN,124836020,I,534001,1534001,Region,Kabul,0,,0,1,MLNETCCITN,AFDHS2015534001,2015,DHS,3797,864,,
AFG,Paktika,2947662,Children under 5 who slept under an insecticide-treated net (ITN),2.3,1,AF,Afghanistan,2015,AF2015DHS,ML_NETC_C_ITN,124836020,I,534012,1534012,Region,..Paktika,0,,0,1,MLNETCCITN,AFDHS2015534012,2015,DHS,860,1253,,
AFG,Badakhshan,244668,Children under 5 who slept under an insecticide-treated net (ITN),4.2,1,AF,Afghanistan,2015,AF2015DHS,ML_NETC_C_ITN,124836020,I,534017,1534017,Region,Badakhshan,0,,0,1,MLNETCCITN,AFDHS2015534017,2015,DHS,888,767,,
AFG,Daykundi,3255700,Children under 5 who slept under an insecticide-treated net (ITN),1.3,1,AF,Afghanistan,2015,AF2015DHS,ML_NETC_C_ITN,124836020,I,534024,1534024,Region,Daykundi,0,,0,1,MLNETCCITN,AFDHS2015534024,2015,DHS,333,686,,
AFG,Zabul,2042188,Children under 5 who slept under an insecticide-treated net (ITN),39.4,1,AF,Afghanistan,2015,AF2015DHS,ML_NETC_C_ITN,124836020,I,534026,1534026,Region,Zabul,0,,0,1,MLNETCCITN,AFDHS2015534026,2015,DHS,27,239,,
AFG,Kabul,3848172,Women receiving an HIV test and receiving test results in the last 12 months,1.6,1,AF,Afghanistan,2015,AF2015DHS,HA_CPHT_W_T1R,135563070,I,534001,1534001,Region,Kabul,0,,0,1,HACPHTWT1R,AFDHS2015534001,2015,DHS,3658,755,,
AFG,Paktika,381504,Women receiving an HIV test and receiving test results in the last 12 months,0,1,AF,Afghanistan,2015,AF2015DHS,HA_CPHT_W_T1R,135563070,I,534012,1534012,Region,..Paktika,0,,0,1,HACPHTWT1R,AFDHS2015534012,2015,DHS,792,1110,,
AFG,Badakhshan,712473,Women receiving an HIV test and receiving test results in the last 12 months,0,1,AF,Afghanistan,2015,AF2015DHS,HA_CPHT_W_T1R,135563070,I,534017,1534017,Region,Badakhshan,0,,0,1,HACPHTWT1R,AFDHS2015534017,2015,DHS,1004,835,,
AFG,Daykundi,57570,Women receiving an HIV test and receiving test results in the last 12 months,0,1,AF,Afghanistan,2015,AF2015DHS,HA_CPHT_W_T1R,135563070,I,534024,1534024,Region,Daykundi,0,,0,1,HACPHTWT1R,AFDHS2015534024,2015,DHS,329,669,,
AFG,Zabul,1175135,Women receiving an HIV test and receiving test results in the last 12 months,0,1,AF,Afghanistan,2015,AF2015DHS,HA_CPHT_W_T1R,135563070,I,534026,1534026,Region,Zabul,0,,0,1,HACPHTWT1R,AFDHS2015534026,2015,DHS,20,172,,
AFG,Kabul,2976633,Men receiving an HIV test and receiving test results in the last 12 months,5.1,1,AF,Afghanistan,2015,AF2015DHS,HA_CPHT_M_T1R,135564160,I,534001,1534001,Region,Kabul,0,,0,1,HACPHTMT1R,AFDHS2015534001,2015,DHS,1350,207,,
AFG,Paktika,3811232,Men receiving an HIV test and receiving test results in the last 12 months,0.2,1,AF,Afghanistan,2015,AF2015DHS,HA_CPHT_M_T1R,135564160,I,534012,1534012,Region,..Paktika,0,,0,1,HACPHTMT1R,AFDHS2015534012,2015,DHS,322,451,,
AFG,Badakhshan,998530,Men receiving an HIV test and receiving test results in the last 12 months,0,1,AF,Afghanistan,2015,AF2015DHS,HA_CPHT_M_T1R,135564160,I,534017,1534017,Region,Badakhshan,0,,0,1,HACPHTMT1R,AFDHS2015534017,2015,DHS,316,246,,
AFG,Daykundi,3807298,Men receiving an HIV test and receiving test results in the last 12 months,0.2,1,AF,Afghanistan,2015,AF2015DHS,HA_CPHT_M_T1R,135564160,I,534024,1534024,Region,Daykundi,0,,0,1,HACPHTMT1R,AFDHS2015534024,2015,DHS,77,150,,
AFG,Zabul,806069,Men receiving an HIV test and receiving test results in the last 12 months,0,1,AF,Afghanistan,2015,AF2015DHS,HA_CPHT_M_T1R,135564160,I,534026,1534026,Region,Zabul,0,,0,1,HACPHTMT1R,AFDHS2015534026,2015,DHS,8,69,,
AFG,Kabul,3430150,Physical or sexual violence committed by husband/partner,39.2,1,AF,Afghanistan,2015,AF2015DHS,DV_SPVL_W_POS,197433060,I,534001,1534001,Region,Kabul,0,,0,1,DVSPVLWPOS,AFDHS2015534001,2015,DHS,2410,573,,
AFG,Paktika,909042,Physical or sexual violence committed by husband/partner,42.1,1,AF,Afghanistan,2015,AF2015DHS,DV_SPVL_W_POS,197433060,I,534012,1534012,Region,..Paktika,0,,0,1,DVSPVLWPOS,AFDHS2015534012,2015,DHS,564,649,,
AFG,Badakhshan,3850058,Physical or sexual violence committed by husband/partner,5.7,1,AF,Afghanistan,2015,AF2015DHS,DV_SPVL_W_POS,197433060,I,534017,1534017,Region,Badakhshan,0,,0,1,DVSPVLWPOS,AFDHS2015534017,2015,DHS,748,643,,
AFG,Daykundi,3310990,Physical or sexual violence committed by husband/partner,13.4,1,AF,Afghanistan,2015,AF2015DHS,DV_SPVL_W_POS,197433060,I,534024,1534024,Region,Daykundi,0,,0,1,DVSPVLWPOS,AFDHS2015534024,2015,DHS,240,585,,
AFG,Zabul,3751185,Physical or sexual violence committed by husband/partner,18.4,1,AF,Afghanistan,2015,AF2015DHS,DV_SPVL_W_POS,197433060,I,534026,1534026,Region,Zabul,0,,0,1,DVSPVLWPOS,AFDHS2015534026,2015,DHS,14,135,,
AFG,Kabul,1643633,Women with secondary or higher education,20.1,1,AF,Afghanistan,2015,AF2015DHS,ED_EDUC_W_SEH,211203100,I,534001,1534001,Region,Kabul,0,,0,1,EDEDUCWSEH,AFDHS2015534001,2015,DHS,3658,755,,
AFG,Paktika,758020,Women with secondary or higher education,0.8,1,AF,Afghanistan,2015,AF2015DHS,ED_EDUC_W_SEH,211203100,I,534012,1534012,Region,..Paktika,0,,0,1,EDEDUCWSEH,AFDHS2015534012,2015,DHS,792,1110,,
AFG,Badakhshan,577771,Women with secondary or higher education,13,1,AF,Afghanistan,2015,AF2015DHS,ED_EDUC_W_SEH,211203100,I,534017,1534017,Region,Badakhshan,0,,0,1,EDEDUCWSEH,AFDHS2015534017,2015,DHS,1004,835,,
AFG,Daykundi,755254,Women with secondary or higher education,13,1,AF,Afghanistan,2015,AF2015DHS,ED_EDUC_W_SEH,211203100,I,534024,1534024,Region,Daykundi,0,,0,1,EDEDUCWSEH,AFDHS2015534024,2015,DHS,329,669,,
AFG,Zabul,3321495,Women with secondary or higher education,8.2,1,AF,Afghanistan,2015,AF2015DHS,ED_EDUC_W_SEH,211203100,I,534026,1534026,Region,Zabul,0,,0,1,EDEDUCWSEH,AFDHS2015534026,2015,DHS,20,172,,
AFG,Kabul,455706,Women who are literate,33.2,1,AF,Afghanistan,2015,AF2015DHS,ED_LITR_W_LIT,211233090,I,534001,1534001,Region,Kabul,0,,0,1,EDLITRWLIT,AFDHS2015534001,2015,DHS,3658,755,,
AFG,Paktika,1642414,Women who are literate,2.3,1,AF,Afghanistan,2015,AF2015DHS,ED_LITR_W_LIT,211233090,I,534012,1534012,Region,..Paktika,0,,0,1,EDLITRWLIT,AFDHS2015534012,2015,DHS,792,1110,,
AFG,Badakhshan,1643951,Women who are literate,19.4,1,AF,Afghanistan,2015,AF2015DHS,ED_LITR_W_LIT,211233090,I,534017,1534017,Region,Badakhshan,0,,0,1,EDLITRWLIT,AFDHS2015534017,2015,DHS,1004,835,,
AFG,Daykundi,1645491,Women who are literate,18.1,1,AF,Afghanistan,2015,AF2015DHS,ED_LITR_W_LIT,211233090,I,534024,1534024,Region,Daykundi,0,,0,1,EDLITRWLIT,AFDHS2015534024,2015,DHS,329,669,,
AFG,Zabul,1646583,Women who are literate,13.4,1,AF,Afghanistan,2015,AF2015DHS,ED_LITR_W_LIT,211233090,I,534026,1534026,Region,Zabul,0,,0,1,EDLITRWLIT,AFDHS2015534026,2015,DHS,20,172,,
AFG,Kabul,2053149,Households with electricity,88.3,1,AF,Afghanistan,2015,AF2015DHS,HC_ELEC_H_ELC,240301010,I,534001,1534001,Region,Kabul,0,,0,1,HCELECHELC,AFDHS2015534001,2015,DHS,3369,756,,
AFG,Paktika,3780681,Households with electricity,97.5,1,AF,Afghanistan,2015,AF2015DHS,HC_ELEC_H_ELC,240301010,I,534012,1534012,Region,..Paktika,0,,0,1,HCELECHELC,AFDHS2015534012,2015,DHS,514,751,,
AFG,Badakhshan,3974539,Households with electricity,51.8,1,AF,Afghanistan,2015,AF2015DHS,HC_ELEC_H_ELC,240301010,I,534017,1534017,Region,Badakhshan,0,,0,1,HCELECHELC,AFDHS2015534017,2015,DHS,849,704,,
AFG,Daykundi,871990,Households with electricity,96,1,AF,Afghanistan,2015,AF2015DHS,HC_ELEC_H_ELC,240301010,I,534024,1534024,Region,Daykundi,0,,0,1,HCELECHELC,AFDHS2015534024,2015,DHS,346,719,,
AFG,Zabul,711449,Households with electricity,68.3,1,AF,Afghanistan,2015,AF2015DHS,HC_ELEC_H_ELC,240301010,I,534026,1534026,Region,Zabul,0,,0,1,HCELECHELC,AFDHS2015534026,2015,DHS,19,169,,


Citance Number,Citation Marker,Citation Marker Offset,Citation Offset,Citation Text,Citation Text Clean,Citing Article,Discourse Facet,Reference Article,Reference Offset,Reference Text
2.0,"Bod, 2003",0,0,"Data-Oriented Parsing (DOP)? s methodology is to calculate weighted derivations, but as noted in (Bod, 2003), it is the highest ranking parse, not derivation, that is desired","Data-Oriented Parsing (DOP)'s methodology is to calculate weighted derivations, but as noted in (Bod, 2003), it is the highest ranking parse, not derivation, that is desired",N06-1045,"Method_Citation,Hypothesis_Citation,Implication_Citation",E03-1005,"'105','143','104'","<S sid=""105"" ssid=""8"">The derivation with the smallest sum, or highest rank, is taken as the final best derivation producing the best parse tree in Simplicity-DOP.3 Although Bod (2000b) reports that Simplicity DOP is outperformed by Likelihood-DOP, its results are still rather impressive for such a simple model.</S><S sid=""143"" ssid=""8"">While SL-DOP and LS-DOP have been compared before in Bod (2002), especially in the context of musical parsing, this paper presents the The DOP approach is based on two distinctive features: (1) the use of corpus fragments rather than grammar rules, and (2) the use of arbitrarily large fragments rather than restricted ones.</S><S sid=""104"" ssid=""7"">Next, the rank of each (shortest) derivation is computed as the sum of the ranks of the subtrees involved.</S>"
3.0,2003,0,0,"Goodman? s transform, in com bi nation with a range of heuristics, allowed Bod (2003) to run the DOP model on the Penn Treebank WSJ benchmark and obtain some of the best results obtained with a generative model","Goodman's transform, in combination with a range of heuristics, allowed Bod (2003) to run the DOP model on the Penn Treebank WSJ benchmark and obtain some of the best results obtained with a generative model",D07-1058,"Method_Citation,Hypothesis_Citation,Implication_Citation",E03-1005,"'0','135','94'","<S sid=""0"" ssid=""0"">An Efficient Implementation of a New DOP Model</S><S sid=""135"" ssid=""16"">In the following section first results of SL-DOP and LS-DOP with a compact PCFG-reduction. we will see that our new definition of best parse tree also outperforms the best results obtained in Bod (2001).</S><S sid=""94"" ssid=""46"">This paper presents the first published results with this estimator on the WSJ.</S>"
4.0,"Bod, 2003",0,0,"Zuidema (2006a) shows that also the estimator (Bod, 2003) uses is biased and inconsistent, and will, even in the limit of infinite data, not correctly identify many possible distributions over trees","Zuidema (2006a) shows that also the estimator (Bod, 2003) uses is biased and inconsistent, and will, even in the limit of infinite data, not correctly identify many possible distributions over trees",D07-1058,"Method_Citation,Hypothesis_Citation,Results_Citation,Implication_Citation",E03-1005,"'29','94','43'","<S sid=""29"" ssid=""26"">Johnson (1998b, 2002) showed that DOP1's subtree estimation method is statistically biased and inconsistent.</S><S sid=""94"" ssid=""46"">This paper presents the first published results with this estimator on the WSJ.</S><S sid=""43"" ssid=""40"">Bod (2001, 2003).</S>"
5.0,"Bod, 2003",0,0,"Second, we compare against a composed-rule system, which is analogous to the Data Oriented Parsing (DOP) approach in parsing (Bod, 2003)","Second, we compare against a composed-rule system, which is analogous to the Data Oriented Parsing (DOP) approach in parsing (Bod, 2003)",P11-1086,"Method_Citation,Hypothesis_Citation,Results_Citation,Implication_Citation",E03-1005,"'3','143','113'","<S sid=""3"" ssid=""3"">Together with a PCFGreduction of DOP we obtain improved accuracy and efficiency on the Wall Street Journal treebank Our results show an 11% relative reduction in error rate over previous models, and an average processing time of 3.6 seconds per WSJ sentence.</S><S sid=""143"" ssid=""8"">While SL-DOP and LS-DOP have been compared before in Bod (2002), especially in the context of musical parsing, this paper presents the The DOP approach is based on two distinctive features: (1) the use of corpus fragments rather than grammar rules, and (2) the use of arbitrarily large fragments rather than restricted ones.</S><S sid=""113"" ssid=""16"">By varying the parameter n, we will be able to compare Likelihood-DOP, Simplicity-DOP and several instantiations of SL-DOP and LS-DOP.</S>"
6.0,"Bod, 2003",0,0,"Our best performing model is more accurate than all these previous models except (Bod, 2003)","Our best performing model is more accurate than all these previous models except (Bod, 2003)",P04-1013,"Method_Citation,Hypothesis_Citation,Results_Citation,Implication_Citation",E03-1005,"'48','135','2'","<S sid=""48"" ssid=""45"">Compared to Bod (2001), our results show an 11% improvement in terms of relative error reduction and a speedup which reduces the processing time from 220 to 3.6 seconds per WSJ sentence.</S><S sid=""135"" ssid=""16"">In the following section first results of SL-DOP and LS-DOP with a compact PCFG-reduction. we will see that our new definition of best parse tree also outperforms the best results obtained in Bod (2001).</S><S sid=""2"" ssid=""2"">This paper proposes an integration of the two models which outperforms each of them separately.</S>"
7.0,"Bod, 2003",0,0,"We find that the discriminative probability model is much worse than the generative one, but that training to optimize the discriminative criteria results in improved performance. Performance of the latter model on the standard test set achieves 90.1% F-measure on constituents, which is the second best current ac curacy level, and only 0.6% below the current best (Bod, 2003) .This paper has also proposed a neural network training method which optimizes a discriminative criteria even when the parameters being estimated are those of a generative probability model","Performance of the latter model on the standard test set achieves 90.1% F-measure on constituents, which is the second best current accuracy level, and only 0.6% below the current best (Bod, 2003)",P04-1013,"Results_Citation,Hypothesis_Citation,Implication_Citation,Method_Citation,Aim_Citation",E03-1005,"'2','3','145'","<S sid=""2"" ssid=""2"">This paper proposes an integration of the two models which outperforms each of them separately.</S><S sid=""3"" ssid=""3"">Together with a PCFGreduction of DOP we obtain improved accuracy and efficiency on the Wall Street Journal treebank Our results show an 11% relative reduction in error rate over previous models, and an average processing time of 3.6 seconds per WSJ sentence.</S><S sid=""145"" ssid=""10"">This paper showed that a PCFG-reduction of DOP in combination with a new notion of the best parse tree results in fast processing times and very competitive accuracy on the Wall Street Journal treebank.</S>"
10.0,"Bod, 2003",0,0,"Similarly, (Bod, 2003) changes the way frequenciesfi are counted, with a similar effect","Similarly, (Bod, 2003) changes the way frequencies fi are counted, with a similar effect",E06-2025,"Method_Citation,Aim_Citation,Results_Citation,Implication_Citation",E03-1005,"'143','48','43'","<S sid=""143"" ssid=""8"">While SL-DOP and LS-DOP have been compared before in Bod (2002), especially in the context of musical parsing, this paper presents the The DOP approach is based on two distinctive features: (1) the use of corpus fragments rather than grammar rules, and (2) the use of arbitrarily large fragments rather than restricted ones.</S><S sid=""48"" ssid=""45"">Compared to Bod (2001), our results show an 11% improvement in terms of relative error reduction and a speedup which reduces the processing time from 220 to 3.6 seconds per WSJ sentence.</S><S sid=""43"" ssid=""40"">Bod (2001, 2003).</S>"
12.0,"Bod, 2003",0,0,"(henceforth, STSGs), which can represent single words, contiguous and noncontiguous MWEs, context-free rules or complete parse trees in a unified representation. My approach is closely related to work in statistical parsing known as Data-Oriented Parsing (DOP), an empirically highly successful approach with labeled recall and precision scores on the Penn Tree Bank that are among the best currently obtained (Bod, 2003)","My approach is closely related to work in statistical parsing known as Data-Oriented Parsing (DOP), an empirically highly successful approach with labeled recall and precision scores on the Penn Tree Bank that are among the best currently obtained (Bod, 2003)",W06-2905,"Method_Citation,Hypothesis_Citation,Results_Citation,Implication_Citation",E03-1005,"'3','143','21'","<S sid=""3"" ssid=""3"">Together with a PCFGreduction of DOP we obtain improved accuracy and efficiency on the Wall Street Journal treebank Our results show an 11% relative reduction in error rate over previous models, and an average processing time of 3.6 seconds per WSJ sentence.</S><S sid=""143"" ssid=""8"">While SL-DOP and LS-DOP have been compared before in Bod (2002), especially in the context of musical parsing, this paper presents the The DOP approach is based on two distinctive features: (1) the use of corpus fragments rather than grammar rules, and (2) the use of arbitrarily large fragments rather than restricted ones.</S><S sid=""21"" ssid=""18"">One instantiation of DOP which has received considerable interest is the model known as DOP12 (Bod 1992).</S>"
13.0,"Bod, 2003",0,0,"Shown are results were only elementary trees with scores higher than 0.3 and 0.1 respectively are used. However, more interesting is a qualitative analysis of the STSG induced, which shows that ,un like DOP1, push-n-pull arrives at a grammar that gives high weights (and scores) to those elementary3We approximated the most probable parse as follows (fol lowing (Bod, 2003))","We approximated the most probable parse as follows (following (Bod, 2003))",W06-2905,"Method_Citation,Hypothesis_Citation,Results_Citation,Implication_Citation",E03-1005,"'26','97','25'","<S sid=""26"" ssid=""23"">Sima'an (1995) gave an efficient algorithm for computing the parse tree generated by the most probable derivation, which in some cases is a reasonable approximation of the most probable parse.</S><S sid=""97"" ssid=""49"">In this paper, we will estimate the most probable parse by computing the 10,000 most probable derivations by means of Viterbi n-best, from which the most likely parse is estimated by summing up the probabilities of the derivations that generate the same parse.</S><S sid=""25"" ssid=""22"">Many implementations of DOP1 therefore estimate the most probable parse by Monte Carlo techniques (Bod 1998; Chappelier & Rajman 2000), or by Viterbi n-best search (Bod 2001), or by restricting the set of subtrees (Sima'an 1999; Chappelier et al. 2002).</S>"
14.0,"Bod, 2003",0,0,"This result is only slightly higher than the highest reported result for this test-set, Bod? s (.907) (Bod,2003)","This result is only slightly higher than the highest reported result for this test-set, Bod's (.907) (Bod,2003)",P05-1022,"Method_Citation,Hypothesis_Citation,Results_Citation,Implication_Citation",E03-1005,"'134','3','38'","<S sid=""134"" ssid=""15"">This may be explained by the fact our best results in Bod (2001) were obtained by testing various subtree restrictions until the highest accuracy was obtained, while in the current experiment we used all subtrees as given by the PCFG-reduction.</S><S sid=""3"" ssid=""3"">Together with a PCFGreduction of DOP we obtain improved accuracy and efficiency on the Wall Street Journal treebank Our results show an 11% relative reduction in error rate over previous models, and an average processing time of 3.6 seconds per WSJ sentence.</S><S sid=""38"" ssid=""35"">Although Bod's method obtains very competitive results on the Wall Street Journal (WSJ) task, the parsing time was reported to be over 200 seconds per sentence (Bod 2003).</S>"
16.0,2003,0,0,"This assumption is in consonance with the principle of simplicity, but there are also empirical reasons for the shortest derivation assumption: in Bod (2003) and Hearne and Way (2006), it is shown that DOP models that select the preferred parse of a test sentence using the shortest derivation criterion perform very well","This assumption is in consonance with the principle of simplicity, but there are also empirical reasons for the shortest derivation assumption: in Bod (2003) and Hearne and Way (2006), it is shown that DOP models that select the preferred parse of a test sentence using the shortest derivation criterion perform very well",P07-1051,"Results_Citation,Hypothesis_Citation,Implication_Citation,Method_Citation,Aim_Citation",E03-1005,"'45','98','108'","<S sid=""45"" ssid=""42"">In the second part of this paper, we extend our experiments with a new notion of the best parse tree.</S><S sid=""98"" ssid=""1"">Most DOP models, such as in Bod (1993), Goodman (1996), Bonnema et al. (1997), Sima'an (2000) and Collins & Duffy (2002), use a likelihood criterion in defining the best parse tree: they take (some notion of) the most likely (i.e. most probable) tree as a candidate for the best tree of a sentence.</S><S sid=""108"" ssid=""11"">The underlying idea of combining LikelihoodDOP and Simplicity-DOP is that the parser selects the simplest tree from among the n most probable trees, where n is a free parameter.</S>"
17.0,"Bod, 2003",0,0,"But equally important is the fact that this new DOP* model does not suffer from a decrease in parse accuracy if larger subtrees are included, whereas the original DOP model needs to be redressed by a correction factor to maintain this property (Bod 2003)","But equally important is the fact that this new DOP* model does not suffer from a decrease in parse accuracy if larger subtrees are included, whereas the original DOP model needs to be redressed by a correction factor to maintain this property (Bod 2003)",P07-1051,"Method_Citation,Hypothesis_Citation,Implication_Citation",E03-1005,"'0','143','105'","<S sid=""0"" ssid=""0"">An Efficient Implementation of a New DOP Model</S><S sid=""143"" ssid=""8"">While SL-DOP and LS-DOP have been compared before in Bod (2002), especially in the context of musical parsing, this paper presents the The DOP approach is based on two distinctive features: (1) the use of corpus fragments rather than grammar rules, and (2) the use of arbitrarily large fragments rather than restricted ones.</S><S sid=""105"" ssid=""8"">The derivation with the smallest sum, or highest rank, is taken as the final best derivation producing the best parse tree in Simplicity-DOP.3 Although Bod (2000b) reports that Simplicity DOP is outperformed by Likelihood-DOP, its results are still rather impressive for such a simple model.</S>"
18.0,2003,0,0,"Of course, it is well-known that a supervised parser? s f-score decreases if it is transferred to another domain: for example, the (non-binarized) WSJ-trained DOP model in Bod (2003) decreases from around 91% to 85.5% f score if tested on the Brown corpus","Of course, it is well-known that a supervised parser's f-score decreases if it is transferred to another domain: for example, the (non-binarized) WSJ-trained DOP model in Bod (2003) decreases from around 91% to 85.5% f score if tested on the Brown corpus",P07-1051,"Method_Citation,Implication_Citation",E03-1005,"'88','3','94'","<S sid=""88"" ssid=""40"">In this paper, we will test a simple extension of Goodman's compact PCFG-reduction of DOP which has the same property as the normalization proposed in Bod (2001) in that it assigns roughly equal weight to each node in the training data.</S><S sid=""3"" ssid=""3"">Together with a PCFGreduction of DOP we obtain improved accuracy and efficiency on the Wall Street Journal treebank Our results show an 11% relative reduction in error rate over previous models, and an average processing time of 3.6 seconds per WSJ sentence.</S><S sid=""94"" ssid=""46"">This paper presents the first published results with this estimator on the WSJ.</S>"
19.0,"Bod, 2003",0,0,"A moderately larger vocabulary version (4215 tag-word pairs) of this parser achieves 89.8% F-measure on section 0, where the best current result on the testing set is 90.7% (Bod, 2003)","A moderately larger vocabulary version (4215 tag-word pairs) of this parser achieves 89.8% F-measure on section 0, where the best current result on the testing set is 90.7% (Bod, 2003)",W04-0305,"Method_Citation,Hypothesis_Citation,Results_Citation,Implication_Citation",E03-1005,"'140','142','143'","<S sid=""140"" ssid=""5"">The highest accuracy is obtained by SL-DOP at 12 n 14: an LP of 90.8% and an LR of 90.7%.</S><S sid=""142"" ssid=""7"">Compared to the reranking technique in Collins (2000), who obtained an LP of 89.9% and an LR of 89.6%, our results show a 9% relative error rate reduction.</S><S sid=""143"" ssid=""8"">While SL-DOP and LS-DOP have been compared before in Bod (2002), especially in the context of musical parsing, this paper presents the The DOP approach is based on two distinctive features: (1) the use of corpus fragments rather than grammar rules, and (2) the use of arbitrarily large fragments rather than restricted ones.</S>"
20.0,2003,0,0,The probability of a parse tree T is the sum of the 1 This subtree probability is redressed by a simple correction factor discussed in Goodman (2003: 136) and Bod (2003),This subtree probability is redressed by a simple correction factor discussed in Goodman (2003: 136) and Bod (2003),P06-1109,"Method_Citation,Hypothesis_Citation,Implication_Citation",E03-1005,"'85','98','22'","<S sid=""85"" ssid=""37"">For example, Bod (2001) samples a fixed number of subtrees of each depth, which has the effect of assigning roughly equal weight to each node in the training data, and roughly exponentially less probability for larger trees (see Goodman 2002: 12).</S><S sid=""98"" ssid=""1"">Most DOP models, such as in Bod (1993), Goodman (1996), Bonnema et al. (1997), Sima'an (2000) and Collins & Duffy (2002), use a likelihood criterion in defining the best parse tree: they take (some notion of) the most likely (i.e. most probable) tree as a candidate for the best tree of a sentence.</S><S sid=""22"" ssid=""19"">DOP1 combines subtrees from a treebank by means of node-substitution and computes the probability of a tree from the normalized frequencies of the subtrees (see Section 2 for a full definition).</S>"


Model Name,Class,Control,Total,Selected,True Positive,True Negative,False Positive,False Negative,False Positive Rate,False Negative Rate,Accuracy,Precision,Recall,Favorable,Percent Selected,Percent Favorable,Control Total,Control False Positive Rate,Control False Negative Rate,Control Selected,Control Percent Favorable,Marginal Effects,Adverse Impact Ratio,Relative False Positive Rate,Relative False Negative Rate,Fishers Exact,Fishers Exact P-Value,Standardized Mean Difference,T-Statistic,T-Statistic P-Value
Monotonic GBM - Simulated Data,Prot-Class1,Ctrl-Class1,3057.0,899.0,588.0,1765.0,311.0,393.0,0.1498073217726397,0.40061162079510704,0.7697088649002289,0.6540600667408232,0.599388379204893,899.0,0.29407916257769057,0.29407916257769057,16943.0,0.1290160010079375,0.37763713080168776,6629.0,0.3912530248480198,0.09717386227032926,0.751634221082186,1.1611530399506262,1.0608374762954231,1.3304343681428217,9.432173571973037e-13,-0.20599405542340987,-10.511320380435931,8.943963880382719e-26
Monotonic GBM - Simulated Data,Ctrl-Class1,,16943.0,6629.0,5605.0,6913.0,1024.0,3401.0,0.1290160010079375,0.37763713080168776,0.738830195360916,0.8455272288429627,0.6223628691983122,6629.0,0.3912530248480198,0.3912530248480198,,,,,,,,,,,,,,
Monotonic GBM - Simulated Data,Prot-Class2,Ctrl-Class2,9916.0,3914.0,2994.0,4523.0,920.0,1479.0,0.16902443505419806,0.3306505700871898,0.7580677692617991,0.7649463464486459,0.6693494299128102,3914.0,0.3947156111335216,0.3947156111335216,10084.0,0.09080962800875274,0.4198404062386652,3614.0,0.3583895279650932,-0.03632608316842839,1.1013592204400753,1.8613052245727353,0.7875625241731165,0.9079689727393624,0.0003758135564239806,0.10574005426405628,7.486783566720664,7.350595597416447e-14
Monotonic GBM - Simulated Data,Ctrl-Class2,,10084.0,3614.0,3199.0,4155.0,415.0,2315.0,0.09080962800875274,0.4198404062386652,0.7292740975803252,0.8851687880464859,0.5801595937613347,3614.0,0.3583895279650932,0.3583895279650932,,,,,,,,,,,,,,
XNN - Simulated Data,Prot-Class1,Ctrl-Class1,3057.0,980.0,631.0,1727.0,349.0,350.0,0.16811175337186898,0.3567787971457696,0.7713444553483808,0.6438775510204081,0.6432212028542303,980.0,0.3205757278377494,0.3205757278377494,16943.0,0.1631598840871866,0.3143459915611814,7470.0,0.44089004308564006,0.12031431524789066,0.7271103824303867,1.0303497965347677,1.134987582866408,1.3753070017477569,1.3982897119086332e-16,-0.27424021350490857,-14.023690950731439,1.8138837740843919e-44
XNN - Simulated Data,Ctrl-Class1,,16943.0,7470.0,6175.0,6642.0,1295.0,2831.0,0.1631598840871866,0.3143459915611814,0.7564776013692971,0.8266398929049531,0.6856540084388185,7470.0,0.44089004308564006,0.44089004308564006,,,,,,,,,,,,,,
XNN - Simulated Data,Prot-Class2,Ctrl-Class2,9916.0,4139.0,3124.0,4428.0,1015.0,1349.0,0.18647804519566416,0.30158730158730157,0.7615974183138362,0.7547716839816381,0.6984126984126984,4139.0,0.4174062121823316,0.4174062121823316,10084.0,0.137636761487965,0.33224519405150527,4311.0,0.4275089250297501,0.010102712847418482,0.9763684165267066,1.3548563856028382,0.9077250987731337,1.0242035517262629,0.3569491062819051,-0.0008178772577339166,-0.05782772837201058,0.9538864288482456
XNN - Simulated Data,Ctrl-Class2,,10084.0,4311.0,3682.0,3941.0,629.0,1832.0,0.137636761487965,0.33224519405150527,0.7559500198333995,0.8540941776849919,0.6677548059484948,4311.0,0.4275089250297501,0.4275089250297501,,,,,,,,,,,,,,
Monotonic GBM - HMDA Data,Black,White,2608.0,951.0,310.0,1396.0,641.0,261.0,0.31467844869906725,0.45709281961471104,0.6541411042944786,0.32597266035751843,0.542907180385289,1657.0,0.36464723926380366,0.6353527607361963,28361.0,0.14972223301348045,0.5080152671755725,5143.0,0.8186594266774796,0.1833066659412833,0.7760892259126223,2.101748299938425,0.8997619739974027,0.49730411695597593,2.576706701834715e-60,0.6284716145680413,30.870208237981537,4.017855954403598e-206
Monotonic GBM - HMDA Data,White,,28361.0,5143.0,1289.0,21887.0,3854.0,1331.0,0.14972223301348045,0.5080152671755725,0.8171785197983146,0.2506319268909197,0.4919847328244275,23218.0,0.18134057332252035,0.8186594266774796,,,,,,,,,,,,,,
Monotonic GBM - HMDA Data,Female,Male,8301.0,2126.0,608.0,5767.0,1518.0,408.0,0.20837336993822925,0.4015748031496063,0.7679797614745212,0.28598306679209784,0.5984251968503937,6175.0,0.25611372123840503,0.743886278761595,13166.0,0.18178732071628617,0.4967462039045553,2838.0,0.7844447820142793,0.040558503252684286,0.9482965478480982,1.1462480942960576,0.8084104115806485,0.8416386944964573,7.333301735171886e-08,0.0840154956898157,5.643171131608238,1.6905154216502833e-08
Monotonic GBM - HMDA Data,Male,,13166.0,2838.0,696.0,9641.0,2142.0,687.0,0.18178732071628617,0.4967462039045553,0.7851283609296673,0.2452431289640592,0.5032537960954447,10328.0,0.2155552179857208,0.7844447820142793,,,,,,,,,,,,,,
XNN - HMDA Data,Black,White,2608.0,996.0,395.0,1436.0,601.0,176.0,0.29504172803141876,0.30823117338003503,0.7020705521472392,0.3965863453815261,0.691768826619965,1612.0,0.38190184049079756,0.6180981595092024,28361.0,0.12035274464861505,0.3603053435114504,4774.0,0.8316702514015726,0.21357209189237014,0.7432009963895574,2.4514748616064397,0.8554721125589955,0.4407670525549184,4.065097546474582e-83,0.6205210273958582,30.1463611966826,8.409288626328312e-197
XNN - HMDA Data,White,,28361.0,4774.0,1676.0,22643.0,3098.0,944.0,0.12035274464861505,0.3603053435114504,0.8574803427241635,0.3510682865521575,0.6396946564885496,23587.0,0.16832974859842742,0.8316702514015726,,,,,,,,,,,,,,
XNN - HMDA Data,Female,Male,8301.0,1843.0,689.0,6131.0,1154.0,327.0,0.15840768702814,0.3218503937007874,0.8215877605107819,0.37384698860553445,0.6781496062992126,6458.0,0.2220214431996145,0.7779785568003855,13166.0,0.13069676652804887,0.3470715835140998,2443.0,0.8144463010785357,0.03646774427815014,0.9552238812677306,1.2120245300341388,0.9273314468503937,0.8357467470141485,1.3293158541875736e-07,0.1053170970663988,7.119925738719642,1.1139106268383423e-12
XNN - HMDA Data,Male,,13166.0,2443.0,903.0,10243.0,1540.0,480.0,0.13069676652804887,0.3470715835140998,0.8465745101017773,0.36962750716332377,0.6529284164859002,10723.0,0.18555369892146437,0.8144463010785357,,,,,,,,,,,,,,


Model / framework;Version;Modeling language;last updated;Date;local (NUTS3)/pos;local (NUTS3)/used;regional (NUTS1-2)/pos;regional (NUTS1-2)/used;national/pos;national/used;international/pos;international/used;other spatial scope;very short/pos;very short/used;short/pos;short/used;intermediate/pos;intermediate/used;long/pos;long/used;other temporal scope;<hourly/pos;<hourly/used;hourly/pos;hourly/used;intermediate/pos.1;intermediate/used.1;annual/pos;annual/used;other temporal resolution;perfect foresight;rolling horizon / myopic foresight;decision-/agentbased;other decision making;no decision making;heat sector excluded;exo aggregated heat dem;end disaggregated heat dem;end disaggregated heat tech;other heat representation;transport sector excluded;exo aggregated transport dem;end disaggregated transport dem;end disaggregated transport tech;other transport representation;prob yes;prob no;explanation;social yes;social no;explanation.1;spinning reserve;balancing energy;sheddable loads;Feed-in management;redispatch;power factor correction;curtailment;black start;explanation.2;new features yes;new features no;If yes, which ones;user implementation yes;user implementation no;explanation.3;efficiency fixed value;efficiency function;efficiency other;explanation.4;ramping yes;ramping no;explanation.5;response time yes;response time no;explanation.6;recovery time yes;recovery time no;explanation.7;Year;no grid;transfer capacity;AC PF;DC PF;interconnectors;explanation.8;simplified;flow based;no import;other import;explanation.9;minimum load yes;minimum load no;explanation.10;discrete expansion yes;discrete expansion no;explanation.11;max def load fixed value;Time-dependent;Type-dependent;time- and type-dependent;no max def load;other max def load;shifting time yes;shifting time no;explanation.12;price elasticity yes;price elasticity no;explanation.13;fixed/static;dynamic;no storage;explanation.14;cycle aging;calendrical aging;no aging;explanation.15;self discharge yes;self discharge no;explanation.16;curtailed operation yes;curtailed operation no;explanation.17;hard coal/pos;hard coal/def;lignite/pos;lignite/def;oil/pos;oil/def;natural gas/pos;natural gas/def;CCGT/pos;CCGT/def;OCGT/pos;OCGT/def;CHP/pos;CHP/def;other conv;Bioenergy/pos;Bioenergy/def;geothermal/pos;geothermal/def;hydropower reservoir/pos;hydropower reservoir/def;concentrated solar power/pos;concentrated solar power/def;other dRES;photovoltaic/pos;photovoltaic/def;wind onshore/pos;wind onshore/def;Wind-offshore/pos;Wind-offshore/def;Run-of-river hydro/pos;Run-of-river hydro/def;wave power/pos;wave power/def;tidal power/pos;tidal power/def;other vRES;PEM-FC/pos;PEM-FC/def;SOFC/pos;SOFC/def;Nuclear/pos;Nuclear/def;other supply;Comments;households/pos;households/def;industrial load/pos;industrial load/def;service sector/pos;service sector/def;other load;P2Gas/pos;P2Gas/def;P2H2/pos;P2H2/def;HP/pos;HP/def;EV/pos;EV/def;other SC load;comments;PHS/pos;PHS/def;Batteries/pos;Batteries/def;CAES/pos;CAES/def;Caps/pos;Caps/def;Flywheels/pos;Flywheels/def;other storage;Fuels (H2)/pos;Fuels (H2)/def;Heat storage/pos;Heat storage/def;V2Grid/pos;V2Grid/def;other SC storage;comments.1;Distribution Grid/pos;Distribution Grid/def;Transmission Grid/pos;Transmission Grid/def;Smart Grid/pos;Smart Grid/def;Microgrid/pos;Microgrid/def;other grid operation;interconnectors/pos;interconnectors/def;network extension/pos;network extension/def;switches/pos;switches/def;other grid topology;comments.2;Additional comments;model;framework;comment
eGo;0.0.11 dev;Python 3.0;;01.04.2020;1.0;1.0;1.0;1.0;1.0;1.0;;;Mittelspannungsgebiete;1.0;;1.0;;1.0;1.0;1;1.0;;1.0;1.0;1.0;1.0;1.0;;1.0;;;1.0;;;AC-OPF, Heuristic as perfect foresight;;1.0;;;;;1.0;;;;;;1.0;;;1.0;;;1.0;;1.0;;;;;balancing energy: PRL Speicher werden untersucht aber zeitreihen exogen vorgegeben (da Frequenz exogen vorgegeben wird und nicht berechnet);1.0;Integration E-Fahrzeuge (gesteuertes Laden, V2G), Waermepumpen, Blindleistungsregelung;Integration EV(gesteuertes Laden, V2G) [Q2 2020], HP[Ende2020Anfang2021],Blindleistungsregelung[Ende2020];1.0;;;1.0;;;fixer speicherwirkungsgrad;;1.0;;;1.0;;;1.0;;;;;1.0;1.0;1.0;;1.0;1.0;;;;;1.0;;;1.0;;;;;;1.0;;;1.0;;;1.0;;1.0;;;;;;1.0;;;1.0;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;;1;;1.0;;1;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;;"variable regenerative Anlagen koennen abgeregelt werden und es moessen wetter-abhaengige Erzeugungszeitreihen vorgegeben werden; alle anderen Anlagen koennen bis zu ihrer Nennleistung einspeisen, es werden aber keine Wirkungsgrade oder Anfahrtszeiten, etc. beruecksichtigt";1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;1.0;1.0;;Bedarf von Elektrofahrzeugen und Ladesaeulenstandorte werden durch anderes Tool ermittelt und dienen als Input in edisgo;1.0;;1.0;1.0;1.0;1.0;;;;;;1.0;;1.0;;1.0;1.0;;;1.0;1.0;1.0;1.0;1.0;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;;;;1.0;;
backbone;1.3 (beta);GAMS;02.04.2020;09.04.2020;1.0;;1.0;1.0;1.0;1.0;1.0;1.0;The geographical resolution is data driven;;;;;1.0;;1;1.0;The temporal scope is data driven;1.0;1.0;1.0;1.0;1.0;;1.0;;The temporal resolution is data driven;1.0;1.0;;stochastic (short-term forecasts and/or long-term prices, etc);;1.0;1.0;;1.0;Energy sectors are data driven - Backbone just gives different methods to present the physics and economics;1.0;1.0;;1.0;Energy sectors are data driven - Backbone just gives different methods to present the physics and economics;1.0;;Short-term forecasts with a stochastic tree and/or longer-term uncertainty related to prices, investment costs, taxation, demand are possible to model;;1.0;User can add new constraints and/or costs to the objective function, but there are no implemented methods.;1.0;1.0;1.0;1.0;1.0;;;;User can add new constraints and/or costs to the objective function, but there are no implemented methods.;1.0;;Currently testing a more flexible way to define inputs and outputs from a unit as well their relations (feasible operating area). Post-processing MIP marginal values (market prices). Decomposition. Improving computation time.;1.0;;User can add extra constraints as well as terms to the objective function (or replace the objective function). Users can also participate in the open source development (https://gitlab.vtt.fi/backbone/backbone).;1.0;1.0;;There are multiple methods the user can choose from for a particular unit (that can be generation, consumption, conversion, storage).;1.0;;The model has ramp constraints that also apply to reserves.;1.0;;Different reserve categories can have different response requirements.;1.0;;This can typically be done by presenting the physics of the system that should include some form of storage that can be depleted but needs to be replenished.;2016 (or 2015, but version control is from 2016 onward);;1.0;;1.0;;;1.0;1.0;;;;1.0;;;1.0;;;1.0;1.0;1.0;1.0;;Not fully sure what is meant by this, but in Backbone you can present energy consuming units just as freely as generating units (they can have connected storages that can create time-dependent constraints).;1.0;;Again, it is possible to use storages and unit specific time series to model this. There is no explicit time shifting unit type with its own set of constraints.;;1.0;Could be added by the user.;;1.0;;;;;1.0;;1.0;;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;multiple fuels and/or multiple outputs are possible;1;;1.0;;1;;1.0;;multiple fuels and/or multiple outputs are possible;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;There are no technology specific limits;1.0;;1.0;;1.0;;;Representation of different technologies is up to the user, nothing is predefined (of course one can copy unittypes from existing model instances).;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;1.0;;;Representation of different technologies is up to the user, nothing is predefined (of course one can copy unittypes from existing model instances).;1.0;;1.0;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;;Representation of different technologies is up to the user, nothing is predefined (of course one can copy unittypes from existing model instances).;1.0;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;heat transfer physics;Switches can be implemented by using integer based units as connectors.;;;1.0;
Calliope;0.6.5;Python 3.0;;16.04.2020;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;arbitrary scales possible;1.0;;1.0;;1.0;1.0;1;1.0;;1.0;;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;1.0;;;;1.0;1.0;1.0;1.0;;1.0;1.0;1.0;1.0;;;1.0;Probabilistic analysis using Calliope has been undertaken, but it is not yet implemented in the core code, see this branch: https://github.com/calliope-project/calliope/tree/stochastic_optimisation;;1.0;;;;;;;;;;;1.0;;https://github.com/calliope-project/calliope/issues and https://github.com/calliope-project/calliope/projects/2;1.0;;https://github.com/calliope-project/calliope/blob/master/CONTRIBUTING.md;1.0;1.0;;;1.0;;;;1.0;;;1.0;;2013;;1.0;;;1.0;;;1.0;;;;1.0;;;1.0;;;;;;;;Fixed demand can be set, as well as total demand over the temporal scope (per type), the difference being the deferrable load.;;1.0;;;1.0;;1.0;;;;;;1.0;;1.0;;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1;1.0;1.0;;1;1.0;1.0;1.0;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;;solar thermal;1.0;;1.0;;1.0;1.0;We provide a model gallery (on our website) describing previous studies, and two small example models (in the package). They all define a selection of technologies that can be used in other studies (hence selected above as predefined);;1.0;1.0;1.0;1.0;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;See previous comment;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;;;1.0;1.0;1.0;1.0;1.0;;;See previous comment;1.0;1.0;1.0;1.0;;;1.0;;;1.0;;1.0;;;;;#NAME?;;;1.0;
DIETER;01.04.2000;GAMS;10.04.2020;07.04.2020;;;;;1.0;1.0;1.0;;Germany and electric neighbors;;;;;1.0;;1;1.0;;;;1.0;1.0;;;;;;1.0;;;;;;;;1.0;disaggregated technologies, but exogenous demand per technology;;;1.0;;1;;1.0;;;1.0;;1.0;1.0;1.0;;;;1.0;;We do not have a grid, but a representation of reserves, load shedding, and RES curtailment;1.0;;Bottom-up weather data, Python interface;1.0;;Everyone can continue coding;1.0;;;;1.0;;Yes, stylized using load change costs;1.0;;Yes, stylized in case of thermal plants providing reserves;1.0;;Yes, for demand-side management load shifting and load shedding;2015;;1.0;;;;;;;;1;NTC-based international transport model;1.0;;Only applied to provision of negative reserves;;1.0;;;;;1.0;;;;;;;1.0;;1.0;;;;;;1.0;;1.0;;;1.0;;RES may reduce output to provide reserves;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;;;1;1.0;;;1;1.0;;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;;;;;1.0;1.0;;;1.0;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1;;;1.0;1.0;1.0;1.0;1.0;1.0;Demand response: 8 aggregated technologies, based on hh, industry, and service sector data;;1.0;1.0;1.0;1.0;1.0;1.0;;;;;;1.0;1.0;1.0;1.0;1.0;1.0;;4 types of batteries;;;;;;;;;;1.0;1.0;1.0;1.0;;;;NTC-based international transport model;;1.0;;
Dispa-SET;02. Apr;GAMS, Python;March 2020;16.04.2020;1.0;;1.0;;1.0;1.0;1.0;1.0;;;;;;1.0;;1;1.0;;1.0;;1.0;1.0;1.0;1.0;;;;1.0;;;;;;1.0;;1.0;Heat demand curves are exogenous but heat dispatch/storage is optimized in the model.;;1.0;;1.0;Same remarque: demand and driving profiles are exogenous, but charging patterns are optimized.;;1.0;;;1.0;;1.0;1.0;1.0;;;;;;;1.0;;"Automated coupling with other models + feedback loops; Improved reserve sizing methodology; grid stability constraints; piecewise linear representation of heating appliances; ...";1.0;;Requires some knowledge of the model structure;1.0;1.0;;;1.0;;;1.0;;very basic implementation: flexible units wish short start-up times can participate to secondary reserve markets;1.0;;typical min up/down time constraints;2015;;1.0;;;;;;1.0;;;;1.0;;;;1.0;;;1.0;;;;;1.0;;constant value;;1.0;;1.0;;;;;;1.0;;1.0;;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1;1.0;1.0;1.0;1;1.0;1.0;1.0;;1.0;1.0;1.0;1.0;1.0;1.0;;;;;;;;;;;;1.0;1.0;;;1.0;;;;;;;;;1.0;1.0;1.0;1.0;1.0;1.0;;power-to-gas is implemented but will be part of the next release (2.5). Coupling with a household model has been done in a branch but is not integrated into the master.;1.0;1.0;1.0;1.0;1.0;1.0;;;;;;1.0;1.0;1.0;1.0;1.0;1.0;;;;;1.0;1.0;;;;;;;;;;;;;;;1.0;;
EMMA;2020;GAMS;2020;07.04.2020;;;;;1.0;1.0;;;;;;;;;;1;1.0;;;;1.0;1.0;;;;;;1.0;;;;;;1.0;;;;1.0;;;;;;1.0;;;1.0;;1.0;;1.0;;;;;;;;1;;1.0;;;1.0;;;;;1.0;under development;;1.0;;;1.0;;;;;;;1.0;;1.0;;;;;;1.0;;;1.0;;;;;1.0;;;;1.0;only implicit by the limitation on how much energy can be shifted;1.0;;load shedding, i.e. perfect elasticity at the value of lost load;1.0;;;;;;1.0;;1.0;;;;1.0;But renewables are curtailed based on wholesale market prices;1.0;1.0;1.0;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;coal CCS;1;1.0;;;1;1.0;;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;;;;;;;;;1.0;1.0;;;;;;;;;;;;;;1.0;;;;;power-to-hydrogen is under development;1.0;1.0;1.0;1.0;;;;;;;;;;1.0;1.0;;;;Hydrogen storage is under development;;;;;;;;;;1.0;1.0;1.0;;;;;;;1.0;;
EnergyPLAN;15;Delphi, Pascal;2019;;1.0;;1.0;;1.0;1.0;1.0;1.0;European/continental;;;;;;;1;1.0;The model simulates specifically a year;;;1.0;1.0;;;;;;1.0;;1.0;The model in some cases have perfect foresight of demand and VRES supply. In other cases the choices are made on an hourly basis based on analytical programming.;;;;1.0;1.0;;;;1.0;;;;1.0;;;1.0;We can however implement taxes, which can influence the behavior in the market operation;;1.0;;;;;1.0;;;1.0;;More detailed transmission modelling. Else we keep adding and updating technologies;;1.0;While it is not possible to add new features to the program, it is possible to develop extensions and add ons to EnergyPLAN using command line features. We also assist in developing new command line functions if they are needed.;1.0;;;;;1.0;;;1.0;;;1.0;;;;;;;1.0;Three simplified grids are included: electricity, thermal and gas;;1.0;;;;1.0;;;;1.0;;1.0;;;;;Not sure what is meant -> changed after contact in mail (no option was selected before) The amount of demand that is flexible and the peak load of that flexiblility. Furthermore, the user can choose between different time spans of the flexibility. One is flexible within 1 Day, one is flexible within 1 Week and the final option is flexible within 4 Weeks.;1.0;;If it is meant that we can model demands that shift in time then yes. We have the option of modelling flexible electricity demands.;1.0;;;1.0;;;;;;1.0;;;1.0;;;1.0;;1.0;;1.0;;1.0;1.0;1.0;1.0;1.0;;1.0;;1.0;1.0;;1;1.0;1.0;1.0;1;1.0;1.0;1.0;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;;1.0;;1.0;1.0;;;1.0;;1.0;;;;1;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;We can do demand respsone of electricity demands. This can include households, services and industry.;1.0;1.0;1.0;;1.0;1.0;1.0;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;;;;;;;;;;;;1.0;1.0;;;;;;EnergyPLAN assumes the system as a single node, with one interconnector to the surroundings.;;1.0;;
EnergyScope;v2;GLPK, GLPSOL;Mrz 20;08.04.2020;1.0;;1.0;;1.0;1.0;1.0;1.0;;;;;;;;1;1.0;decades (long term planning);;;;;1.0;1.0;1.0;1.0;we use a hourly time slice with typical days;1.0;;;;;;;;1.0;;;;;1.0;;;1.0;;;1.0;;;;;;;;1.0;;The power demand and supply must be balanced every hour. It is more an energy perspective: can we supply this amount of energy during this hour.;1.0;;pathway modelisation. Today, the V2 optimises a snapshot future energy system. In the next version (pathway) we aim at optimising the system design between existing energy system (2020) until long term target (2050).;1.0;;The code is open source and documented. It is used for teaching activities where students implement new features, such as technologies.;1.0;;;;;1.0;;;1.0;;;1.0;;;1.0;;;;;;1.0;;;;through a net transfer capacity and import/export prices.;;1.0;;;1.0;;;1.0;;;;;;1.0;;;1.0;;1.0;;;;;;1.0;;1.0;;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;1.0;1;1;1.0;1.0;1.0;1;1.0;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;;;1.0;;1.0;;1.0;1.0;;;1.0;;1.0;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;Industrial process electrical heating;;1.0;1.0;1.0;1.0;1.0;;1.0;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;;;;;;;;;;;;;;;;;;;;multi-sectoral energy system model for long-term planning;1.0;;
oemof;v0.3.2;Python 3.0;29.11.2019;03.04.2020;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;;1.0;;1.0;;1;1.0;;1.0;;1.0;1.0;1.0;;1.0;;;1.0;;;;;;1.0;1.0;1.0;;;1.0;1.0;1.0;;;1.0;;;1.0;;;1.0;1.0;;;;;;;1.0;;To name only two examples: district heating optimisation and simulation, absorption heat pumps;1.0;;;1.0;;Fixed value or pre-defined time series;;1.0;;;;1.0;;1.0;;Minimum up and down times can be set.;2015;;1.0;;1.0;1.0;;1.0;1.0;;;;1.0;;;;1.0;;1.0;1.0;1.0;1.0;;SinkDSM can be parametrized by standard load plus flexibilization areas;1.0;;Choice by user;;1.0;;;1.0;;It is possible to pass an exogenously defined time series of efficiencies. Endogenous changes of efficiencies lead to nonlinear relations and cannot be represented.;;1.0;;Exegenously defined aging is possible.;1.0;;;;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;1.0;;1;;1.0;;1;;1.0;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;1.0;1.0;;;;1.0;;1.0;;1.0;1.0;1.0;;1.0;;;1.0;;1.0;1.0;1.0;;;;;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;;;;;1.0;
OMEGAlpes;v0.3.1;Python 3.0;13.03.2020;22.04.2020;1.0;1.0;1.0;;;;;;scale of the energy project ;;;;;1.0;;1;1.0;depending on the used/available data;1.0;;1.0;1.0;1.0;;;;depending on the used/available data;1.0;;;;;;;;;user defined;1.0;;;;;;1.0;thermal comfort in considered in the thermal package of OMEGAlpes;1.0;;Objectives and constraints of stakeholders are pre-modelled and can be modelled separately from the technical ones.;;1.0;;;;;;;No ancillary services actually represented. Energy balance is ensured through energy nodes, and constraints such as shiftable loads, or energy units with availability hours, min time on or min time off.;1.0;;Economy and exergy package in the coming weeks, improved graphical interface next year;1.0;;Project available on Gitlab, License Apache 2.0., generic energy units (consumption, production, conversion and storage) enable the user to easily develop its own instances of energy units, or scenarios.;;;Not implemented yet, efficiency is constant at the moment.;;1.0;;user can define max ramp up or max ramp down for energy units.;;1.0;;;1.0;;2019;1.0;;;;;;1.0;;;;Simplified exports and imports can be set between energy nodes that ensure the power balance.;1.0;;a minimal power or energy value can be given for energy units.;;1.0;;;;;;;user defined with Shiftable Energy Unit, or with maximal energy (e_max) consumed by a variable energy unit;;1.0;;;1.0;;1.0;;;Storage Units with bounded state of charge (SoC), charging and discharging efficiency with fixed value;;;1.0;;1.0;;self discharging is either fixed or is SoC dependent;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;;1;;1.0;;1;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;;Production units are considered as a general Energy Units in OMEGAlpes and various kind of production can be implemented. However, the model should remain basic and if possible linear;1.0;;1.0;;;;;1.0;;1.0;;1.0;1.0;1.0;;Consumption Unit are considered as a general EnergyUnit in OMEGAlpes and various kind of consumption can be implemented. However, the model should remain basic and if possible linear;;1.0;;1.0;;1.0;;1.0;;1.0;;;;;1.0;1.0;;;;Storage is considered as a general EnergyUnit in OMEGAlpes and various kind of storage can be implemented. A specific thermal storage have been developed. However, the model should remain basic and if possible linear;1.0;;1.0;;1.0;;1.0;;;;;;;;;;Grids can be represented with conversion or reversible energy unit depending on the use case. Once again, the model should remain basic and if possible linear;Generally speaking, OMEGAlpes is suited and used for local multi-energy projects. Very few functions were developed for regional and national power grids, which explains the generic answers to some questions, such as the ones from part 4.;1.0;;
PyPSA;0.17.0 / 0.1.0 / master;Python 3.0;01. Apr 20;07.04.2020;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;;;;;1.0;;1;1.0;;1.0;;1.0;1.0;1.0;1.0;1.0;;;1.0;1.0;;;;;1.0;1.0;1.0;;;1.0;;1.0;;;1.0;;;1.0;;;;;1.0;1.0;;;;"These constraints can be added as ""extra functionality""";1.0;;https://github.com/PyPSA/pypsa-eur/issues, https://github.com/PyPSA/pypsa/issues, https://github.com/PyPSA/pypsa-eur-sec/issues;1.0;;The code can be easily reprogrammed in its entirety.;1.0;1.0;;;1.0;;Generator ramping constraints are possible, but we usually do not enforce these.;;1.0;;1.0;;Minimum up time and down time possible, but usually not used.;2017;;1.0;1.0;1.0;1.0;DC and NTC in optimisation, AC for simulation only;;1.0;;;No import from outside Europe, e.g. MENA.;1.0;;Can be enforced with PyPSA, but we usually don't do it in the models.;;1.0;Most renewable generators are small. Discrete expansion planning would be more important for large power plants. Can be implemented with extra functionality.;;1.0;;;;We can implement this using a storage unit with predefined p/e_max/min_pu time series.;;1.0;See above.;1.0;;The storage representing DSM can bid at certain prices.;1.0;1.0;;;;;1.0;;1.0;;;1.0;;Generators can be curtailed to avoid grid overloading, but not for grid ancillary service specifically.;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1;1.0;1.0;;1;1.0;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;;;1.0;1.0;1.0;;1.0;1.0;;The PyPSA components are held very general.;1.0;;1.0;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;;1.0;1.0;1.0;1.0;1.0;;1.0;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;;;1.0;;1.0;1.0;1.0;;1.0;;;1.0;1.0;1.0;1.0;;;;;;1.0;;
region4FLEX;under development;Python 3.0;under development;13.04.2020;1.0;1.0;;;1.0;1.0;;;;;;;;;;1;1.0;;1.0;1.0;;;;;;;;1.0;1.0;;;;;1.0;1.0;;endogenous disaggregated choices regarding demand (for temporal load shifting);;1.0;1.0;;endogenous disaggregated choices regarding demand (for temporal load shifting);;1.0;;1.0;;In parts, e.g. via load shifting times depending on user preferences or realization factors for calculating socio-technic load shifting potential ;;1.0;1.0;1.0;1.0;;1.0;;;1.0;;model is under development, will be published in 2020;1.0;;model is open source;1.0;;;;;1.0;;1.0;;time frame of management for load shifting;1.0;;time frame of management for load shifting;2020;;1.0;;1.0;1.0;based on the open_eGo model;1.0;;;;;1.0;;;1.0;;;;;;1.0;;;1.0;;;;1.0;;;1.0;;;;;1.0;;1.0;;;;1.0;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1;1.0;;;1;1.0;;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;;;;;;;;;1.0;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;;1.0;1.0;1.0;1.0;;;;;;;;1.0;1.0;1.0;1.0;1.0;1.0;;;;;1.0;1.0;;;;;;1.0;1.0;1.0;1.0;;;;;;1.0;;
RTestPSM;1;Python 3.0;Apr 20;15.04.2020;1.0;;1.0;;1.0;1.0;1.0;;;;;;;;;1;1.0;;;;1.0;1.0;;;;;;1.0;;;;;1.0;;;;;1.0;;;;;1.0;;The model runs on data that is viewed deterministically, but is designed to be easy to use in probabilistic analysis. This applies particularly to the time series the model is run on.;;1.0;;;;;;;;;;;;1;;1.0;;The model is well documented and easily customisable. It is built in the Calliope framework (https://www.callio.pe/), so can be changed there.;1.0;;;;1.0;;This can be turned on and off.;;1.0;;;1.0;;2019;;1.0;;1.0;;;;;1.0;;;;1.0;;1.0;;This can be turned on and off.;1.0;;;;;;;1.0;;;1.0;;;;1.0;;;;1.0;;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;;1;;1.0;;1;;1.0;;1;;;1.0;;1.0;;;;;;;;;;;;;1.0;;;"This model used generic technology classes (baseload, peaking, and wind). These can be taken and modified to represent ""real"" technologies.";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1.0;1.0;;;;;;;;;;;;;;"The model described here isn't a ""real"" power system model in terms of describing a realistic system. It is designed to be a simple ""toy"" model that is, above all, easy to use. The idea is that it can serve as a simple ""benchmark"" model to test timeseries and optimisation methodologies on. In many fields, standard benchmarks exist; notable examples are MNIST or CIFAR in Computer Vision and the Lorenz 63 system in Dynamical Systems. In contrast, test models used in power system research tend to differ per investigation, with each paper using a different (often not open-source) model. The closest thing in power system applications are the various IEEE n-bus test systems, but the code, technology characteristics and time series data are usually not standardised or provided open-source.";1.0;;
TIMES;;GAMS;;15.04.2020;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;;;;;1.0;;1;1.0;;;;1.0;;1.0;1.0;1.0;1.0;Flexible temporal hierarchy ;1.0;1.0;;yearly;;1.0;1.0;1.0;1.0;;1.0;1.0;1.0;1.0;;1.0;;;1.0;;e.g. budget restriction;;1.0;1.0;1.0;;1.0;1.0;;;1.0;;in coordination with the ETSAP group;1.0;;by so-called user constraints;1.0;;by a step-wise approach;;;1.0;;1.0;;;1.0;;;2014;;1.0;1.0;1.0;1.0;;;1.0;;by a step-wise cost-potential curve;;1.0;;;1.0;;;;;;1.0;;;1.0;;;1.0;;;;1.0;;;1.0;1.0;;;;1.0;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;GT, ;1;;1.0;;1;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;;Very flexible: it is just a process with inputs and outputs as part of a network;1.0;;1.0;;1.0;;Transport;1.0;;1.0;;1.0;;1.0;;"Power-to-Fuels; CHP; Bioenergy; ";;1.0;;1.0;;1.0;;1.0;;1.0;;1;1.0;;1.0;;1.0;;1;Very flexible: it is just a three step approach: in-flow -> storage -> out-flow;1.0;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;;Very flexible: it's just a process with inputs and outputs as part of a network;;;1.0;
TransiEnt;01.02.2000;Modelica;13.05.2019;20.04.2020;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;It is also possible just to model a household or a district since we can build up models by components.;1.0;;1.0;1.0;1.0;1.0;1;1.0;;1.0;1.0;1.0;1.0;1.0;;1.0;;;;;1.0;;;;1.0;;;It is also possible to model the heat demand physically-based.;1.0;;;;;;1.0;;;1.0;;1.0;1.0;1.0;1.0;;1.0;1.0;;;1.0;;In the next release, probably June 2020, new models will be added to enable the investigation of voltage stability. Other further developments will also be added to the library at that point but not in terms of flexibility;1.0;;;1.0;1.0;physical behavior;Depending on the model, different implementations can be chosen.;1.0;;;1.0;;;1.0;;;2014-2019;;;1.0;;;;;;1.0;;;1.0;;;1.0;;This can be done manually.;;;;;1.0;;;1.0;;;1.0;;;1.0;;;;;1.0;;1.0;;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;Garbage;1;1.0;1.0;;1;1.0;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;;;1.0;;1.0;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;1.0;1.0;1.0;1.0;;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;;;;1.0;;
Frigg;;Python 3.0;;24.04.2020;1.0;;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;;1.0;;1.0;1.0;1;;;1.0;1.0;1.0;1.0;1.0;;1.0;;;1.0;1.0;;;;;;1.0;1.0;;;;1.0;;;;1.0;;;1.0;;;;;;;;;;Represented via model coupling (soft linking) with power system models (Neplan);1.0;;during the next 365 days. Implementation of demand response in all the sectors based on model coupling and non-linear and dynamic representation of demand response;;;;1.0;;;;1.0;1.0;Depending whether capacity extension (No) is run or operational optimization – unit commitment (yes);1.0;;Depending whether capacity extension (No) is run or operational optimization – unit commitment (yes);1.0;;yes, primarily on the end user side;Late 2019;;1.0;1.0;;1.0;AC power flow represented in a power system model that is soft-linked with the energy planning model;1.0;;;;;1.0;1.0;Yes when running unit commitment mode, No when running capacity extension problem.;;1.0;only continuous power plant capacity extension;;;;1.0;;;1.0;;I don’t know what is meant by this. -> geklärt in Mail;1.0;;yes but not from a classical economic theory when price elasticity is assumed to be linear. Price responses here are captured in a complex, non-linear way.;1.0;;;;;1.0;;;1.0;;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;;1;;1.0;;1;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;1;;1.0;1.0;1.0;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;;1.0;;1.0;1.0;1.0;;1.0;;;;;1.0;;1.0;1.0;1.0;1.0;;;;;1.0;;;;;;;;;1.0;;;;;;;;;
GridCal;03. Jul;Python 3.0;9 of March of 2020;24 of April 2020;1.0;1.0;1.0;;1.0;;1.0;;Any spatial Scope, RAM and CPU are the limits;;;1.0;;1.0;;1;1.0;;1.0;;1.0;1.0;1.0;;1.0;;Any temporal scale, although the static simulations are meaningful in the minutes to-hours scale. GridCal does not impose any static sampling rate, instead you can specify a non-homogeneous time sampling.;1.0;1.0;;You can decide to have a “time-decoupled” simplex of a time-coupled (perfect foresight) one;;1.0;;;;;1.0;;;;;1.0;;The input time series are considered as a representative sample. Then those re converted to probability distributions and then re-sampled into stochastic procedures, Namely Monte Carlo and Latin-hypercube power flows.;;1.0;;;;1.0;;;;1.0;;;1.0;;"- full blown AC/DC simulation - Implementation of HELM-Padè-Weirstrass power flow - Harmonics calculation - More devices; The branch generic device disappears to implement line, transformer, and any other branch as a separated entity. - Better OPF: Add r";1.0;;Contact me to get hands on explanations, and start programming. Strict efficiency and style rules apply. Several people have contributed already and are contributing at the monet.;;;Not implemented;;;;Not implemented;;;Not implemented;;;Not implemented;Not yet, will be eventually.;;;1.0;1.0;;;;1.0;;Power Injection;You definitely can by placing a generator or load that acts as the injection in the grid.;;1.0;;;1.0;;;;;;1.0;;;1.0;;;1.0;;1.0;;;;;;1.0;;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;;1;;1.0;;1;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;;;1.0;;1.0;;1.0;;;;;;;1.0;;1.0;;;;1.0;;1.0;;1.0;;1.0;;1.0;;;;;;;;;;;1.0;1.0;1.0;1.0;1.0;;;;;;;;;1.0;;;;;1.0;;
xeona;9270 (subversion revision number);UML, C++;circa 2014;28.04.2020;;;;;1.0;;1.0;;the framework was designed to be generic and applicable to small and large systems / moreover most problems have natural boundaries that should be respected;;;;;;;1;;normally a year of operation, either today or some future system, was envisaged;1.0;;1.0;;;;;;the time step was a model parameter but either 5 minutes or 60 minutes was envisaged: the basic assumption to be fulfilled is that the system “relaxes” rapidly after each step (otherwise a continuous model is required, one based on ordinary differential equations);;;1.0;market clearing: US-style nodal pricing (aka locational marginal pricing) is supported;;;;1.0;;contained a square box building thermal performance module and a HVAC (heating, ventilation, and air conditioning) module;1.0;;;;;1.0;;probabalistic in that module designers could add stochastic processes sampling from various distributions / the user could also opt for runtime seeding (for monte-carlo analysis, for example) or select a hardcoded value (to ensure run-to-run consistency);1.0;;the actors are potentially sophisticated and building occupants are supported;;;;1.0;1.0;;;;I ticked redispatch but nodal pricing removes the need for explicit congestion-related redispatch;;1;;1.0;;clear object-oriented design was a criteria from the outset / this allows uses to program new modules by coding only the difference between itself and its parent or parents / in addition, C++ language type safety and template meta-programming meant users could not construct illogical models;1.0;1.0;;both duty and ambient temperature / capacity was also a function of context, most notably ambient environmental conditions / this is highly significant for gas turbines which can potentially drop capacity by 20% in hot conditions;1.0;;minimum duty was also implemented (see later);;1.0;would not be difficult to implement but delayed responses could well lead to infeasible operation as the model heads unwittingly into dead end states;;1.0;same explanation as above;circa 2012 (I guess you mean the year they were supported in the codebase?);;;1.0;1.0;1.0;the AC load flow follows standard nodal pricing methods;1.0;;;;I guess you are referring to trade external to the model? / the system boundary is up to the modeler but import sources and export sinks were supported / these are deemed reservoirs whose intensive state (price, for instance) remains independent of extraction or supply.  Is that what you mean by import and export?;1.0;;together with both no-load and parasitic losses;1.0;;just via scenario definitions, by not via endogenous choice;;;;1.0;;actors could be either hardware (control algorithms) or human (based on some behavioral representation) and both could potentially learn / indeed some bidding behavior was subject to simple non-reinforcing learning;1.0;;see earlier response;1.0;;bilateral contracts, in several forms, are supported, including decreasing price with demand and also take-or-pay (I think this is not common but certainly not unique);;1.0;; most notably, hydro chains (multiple hydroelectricity generators on the same river);;;;both mechanisms would be straightforward to implement;1.0;;primarily hydro reservoir evaporation and seepage;;1.0;in theory, it would be possible to implement the security-constraints normally embedded in nodal pricing, but this might not add much / curtailment due to non-dispatch is implicit in nodal pricing (or have I missed the point of this question?);1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;1;;1.0;1.0;1;;1.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;;;;;;;;;;;again deeco had fuel cell modules so not difficult to reimplement in xeona. also important is that xeona implemented supercritical CO2 transport and sequestration and also thermal powerplants with carbon capture;;1.0;1.0;1.0;1.0;;;;;;;;;;;;the power-to-gas modules were never implemented, mainly because those technologies did not get much air play at the time of development / it would be straightforward to implement electrolysis: the principle issue remains of devising and implementing the operational strategies.  (perfect foresight optimization assumes that problem away but it remains in practice nonetheless!).;;1.0;;1.0;1.0;1.0;;1.0;;1.0;;;1.0;1.0;1.0;;;;;deeco contained seasonal heat storage and the design of xeona was formulated explicitly to allow those characterizations to be carried across;1.0;;1.0;1.0;1.0;;1.0;;;1.0;1.0;1.0;1.0;1.0;;transformers were modeled using iron and copper losses / not sure what you mean by switches?  switching out lines to improve load flow? that would require (total or selected) enumeration to explore surely?;;;;;
FlexiGIS;1.0.0;GIS-based;13.12.2019;07.05.2020;1.0;;;;;;;;urban/distribution level;;;;;;;1;1.0;;1.0;;1.0;1.0;;;;;;;;;;1.0;1.0;;;;heat to be included later;1.0;;;;transport to be included later;;1.0;;;1.0;;;;;;;;;;n.a.;1.0;;sector coupling, socio-economic, e-mobility, CHP and urban policy perspectives;1.0;;;1.0;1.0;;;;1.0;;;1.0;;;1.0;;;1.0;;;;;;1.0;;;;;1.0;;;;1.0;;;1.0;;1.0;;;;1.0;could be applied later;1.0;;online electricity prices;1.0;1.0;;;;;1.0;;1.0;;;;1.0;;;;;;;;;;;;;;;;;1;1.0;;;1;;;;;1.0;1.0;1.0;1.0;;;;;;;;;;;;;;;;;;1.0;1.0;1.0;1.0;1.0;1.0;;;;;;;;;;;;;;1.0;1.0;;;;;;;;;;;;;;;;1.0;;;;1.0;;1.0;;;;;;;;;;;;1.0;;
urbs;1.0.1;Python 3.0;04.05.2020;06.05.2020;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;cities, small villages, single buildings;;;1.0;;1.0;;1;1.0;;1.0;;1.0;1.0;1.0;;1.0;;;1.0;;;;;;;1.0;1.0;;;1.0;;;;;1.0;;;1.0;;;;;;;;1.0;;;1.0;;Near-optimal optimization, decomposition modules;1.0;;One can just clone our GitHub repository, and start working.;1.0;;;;1.0;;Different rates for ramping up and down can be defined.;;1.0;;;1.0;;2016;;1.0;;1.0;1.0;;1.0;;;;;1.0;;;1.0;;;1.0;;;;;;1.0;;;;1.0;;1.0;;;;;;1.0;;1.0;;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;any MIMO process;1;;1.0;;1;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;1.0;;urbs is a commodity-neutral framework. Any commodity can be defined.;;1.0;;1.0;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;;;1.0;;1.0;;1.0;;1.0;;;1.0;;;;;;;;;;1.0;
pandapower;2.2.2.;Python 3.0;;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;;;1.0;1.0;1.0;1.0;1;1.0;PF static ;1.0;1.0;1.0;1.0;1.0;1.0;1.0;;A non-homogeneous time sampling possible;;;;;1.0;1.0;;;;;1.0;;;;;;1.0;;;1.0;;;;;;;;;;no ancillary services are predefined, but they can all be comfortably modeled by the user through controllers ;1.0;;unbalanced power flow calculation (Fall 2020);1.0;;flexible controller interface allows to implement individual behavior. Changes on the core codebase are always possible on github as well;;;;;;1.0;;;1.0;;;1.0;;;;;1.0;1.0;;;;1.0;;1;Can be modeled through external grids or ward equivalents;;1.0;;;1.0;;;;;;1.0;;;1.0;;;1.0;;1.0;;;;;;1.0;;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1;1;;1.0;;1;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;;;;1.0;;1.0;;1.0;;;;;;;1.0;;1.0;;;;1.0;;1.0;;1.0;;1.0;;1.0;;;;;;;;;;;1.0;1.0;1.0;1.0;1.0;;1.0;;;1.0;;;;1.0;1.0;Transformer, Lines etc.;;;1.0;;
Balmorel;several;GAMS;;;1.0;;1.0;1.0;1.0;1.0;1.0;1.0;;;;1.0;;1.0;1.0;1;1.0;;1.0;;1.0;1.0;1.0;1.0;1.0;1.0;;1.0;1.0;;;;1.0;1.0;1.0;1.0;endogenous expansion of heat consumption;1.0;1.0;;1.0;end disaggregated transport dem marked with ? Please check with hans raven;1.0;;certain probabilistic elements included. Scenarios with probabilistic (monte carlo) input elements supported;1.0;;differences in actors' valuation of future cost/earnings may be in represented;;;;;;;;;frequency containment reserve, manual frequency restoration reserve are implemented in some versions;1.0;;ongoing projects will possibly extend representations in relation to i.a. taxes, hydro modeling, transport, P2X, security of supply;1.0;;Balmorel is open source, publicly available, coded in a modeling language, documented;1.0;1.0;1;by calendar, various possibilities and versions, i.a. timeseries for COP, unit commitment for storage units, bypass of extraction and backpressure CHP;1.0;;;;1.0;;;1.0;;2007 / 2020;;1.0;;1.0;1.0;various versions;1.0;1.0;;;representation of the grid as 2.6 above also covers import and export. Additional representations of import and export exist.;1.0;;depending on version;1.0;;;;1.0;1.0;1.0;;;1.0;;;1.0;;;1.0;1.0;;depending on version and storage type;;1.0;;;1.0;;;;1.0;;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0;possible;1;1.0;1.0;;1;1.0;1.0;;;;1.0;;1.0;;1.0;;1.0;;1.0;1.0;;what is here marked as possible, have been implemented in specific projects;1.0;;1.0;;1.0;;;;;1.0;;1.0;;1.0;;1.0;;1.0;;;1.0;1.0;;what is here marked as possible, have been implemented in specific projects;;;1.0;;1.0;1.0;;;;;;hydro reservoir;1.0;;;1.0;1.0;;gas;what is here marked as possible, have been implemented in specific projects;;1.0;;1.0;;;;;;;1.0;;1.0;;;;;;1.0;;
IRENA FlexTool;v 2.0;GLPK;06.03.2020;03.08.2020;1.0;;1.0;;1.0;1.0;1.0;;;;;1.0;;1.0;1.0;1;1.0;;;;1.0;1.0;;;;;;1.0;;;;;;1.0;;1.0;;;1.0;;1.0;;;1.0;;;1.0;;1.0;1.0;1.0;1.0;;;1.0;;;;;;;;;1.0;;;;1.0;;;;1.0;;1.0;;;;;1.0;;;;transport problem;1.0;;;;through input data;1.0;;;;1.0;;1.0;;;;;implemented as extra unit with capacity as input;;1.0;;;1.0;;1.0;;;;;;1.0;;;1.0;;;1.0;;1.0;1.0;1.0;;1.0;1.0;1.0;1.0;1.0;;1.0;;1.0;1.0;;1;;1.0;1.0;1;1.0;1.0;1.0;;1.0;1.0;1.0;1.0;1.0;;1.0;1.0;1.0;;1.0;;;1.0;;1.0;;1.0;;;;1.0;;1.0;;1.0;;;1.0;;1.0;;1.0;1.0;1.0;1.0;;demand as input series;1.0;;1.0;1.0;1.0;;1.0;;1.0;;;1.0;;1.0;1.0;1.0;1.0;;;;;1.0;;1.0;;;;;1.0;;1.0;1.0;;;;;;1.0;;
OSeMOSYS;OSeMOSYS_2017_11_08_short;GLPK, Python;;04.09.2020;1.0;;1.0;1.0;1.0;1.0;1.0;1.0;1;;;;;;;1;1.0;;1.0;;1.0;;1.0;1.0;1.0;1.0;the duration of the timeslices can be freely defined by the user;1.0;;;;;;1.0;1.0;1.0;;;1.0;1.0;1.0;;1.0;;This extension aims to assess the amount of unsupplied energy and its costs, in case disturbances to the energy system occur.;;1.0;;;;1.0;1.0;;;1.0;;sheddable loads: Block of equations allowing the cost-optimal amount of load shedding and its overall cost to be computed, for certain flexible demand types defined by the user.;;;;1.0;;The code is open source and can be extended or altered to implement new features if code complies with the requirements of linear optimisation;1.0;1.0;;Both possible. by a function: Costs related to the flexible operation of power plants, specifically: increased specific fuel consumption at lower load, wear and tear costs associated to the number of ramp-up and ramp-down cycles and costs for refurbishing existing units.;1.0;;Equations that model the ramping constraints of conventional generators. With large penetrations of variable renewables, the ramping demand in the system is significantly increased. The ability to constrain the ramping capabilities of generators in the system allows for a more accurate representation of the system dynamics and associated costs.;;1.0;;;1.0;;2014;;1.0;;;1.0;;1.0;1.0;;;;1.0;;;1.0;;;;1.0;1.0;1.0;;;;1.0;;;1.0;;1.0;1.0;;both possible;;;1.0;Can be implemented by the user if code complies with the requirements of linear optimisation;;1.0;;1.0;;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;possible;1;;1.0;;1;;1.0;;possible;1.0;;1.0;;1.0;;1.0;;1.0;;1.0;;possible;1.0;;1.0;;1.0;;possible;;1.0;;1.0;;1.0;;possible;1.0;;1.0;;1.0;;1.0;;possible;;1.0;;1.0;;1.0;;1.0;;1.0;;cascaded water;1.0;;1.0;;1.0;;possible;;1.0;;1.0;;1.0;;1.0;;possible;1.0;;1.0;;1.0;;possible;;;;1.0;


id,name,unit.symbol,unit.desc,unit.factor,dataTypeKey
e15de6e7306b4daea52b62ce24f00000,Mass,kg,SI for mass,1,nr_float
e15de6e7306b4daea52b62ce24f00000,Mass,g,,1000,nr_float
e15de6e7306b4daea52b62ce24f00000,Mass,lbs,,0.45359237,nr_float
e15de6e7306b4daea52b62ce24f00001,Time,s,SI for time,1,nr_float
e15de6e7306b4daea52b62ce24f00001,Time,h,,3600,nr_float
e15de6e7306b4daea52b62ce24f00002,Length,m,SI for length,1,nr_float
e15de6e7306b4daea52b62ce24f00003,Heart Rate,bpm,beats per minute,1,nr_short
e15de6e7306b4daea52b62ce24f00004,Location,lat_lon,geo point by latitude,longitude,val_geopoint


Code,Indicator Name,Long definition,Source
ST.INT.RCPT.CD,"International tourism, receipts (current US$)","International tourism receipts are expenditures by international inbound visitors, including payments to national carriers for international transport. These receipts include any other prepayment made for goods or services received in the destination country. They also may include receipts from same-day visitors, except when these are important enough to justify separate classification. For some countries they do not include receipts for passenger transport items. Data are in current U.S. dollars.","World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files."
SM.POP.NETM,Net migration,"Net migration is the net total of migrants during the period, that is, the total number of immigrants less the annual number of emigrants, including both citizens and noncitizens. Data are five-year estimates.",United Nations Population Division. World Population Prospects: 2017 Revision.
SP.POP.GROW,Population growth (annual %),"Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.","Derived from total population. Population source: (1) United Nations Population Division. World Population Prospects: 2017 Revision, (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme."
EN.POP.DNST,Population density (people per sq. km of land area),"Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.",Food and Agriculture Organization and World Bank population estimates.


"Country Code","Region","IncomeGroup","SpecialNotes","TableName",
"ABW","Latin America & Caribbean","High income","","Aruba",
"AFG","South Asia","Low income","","Afghanistan",
"AGO","Sub-Saharan Africa","Lower middle income","","Angola",
"ALB","Europe & Central Asia","Upper middle income","","Albania",
"AND","Europe & Central Asia","High income","","Andorra",
"ARB","","","Arab World aggregate. Arab World is composed of members of the League of Arab States.","Arab World",
"ARE","Middle East & North Africa","High income","","United Arab Emirates",
"ARG","Latin America & Caribbean","Upper middle income","","Argentina",
"ARM","Europe & Central Asia","Upper middle income","","Armenia",
"ASM","East Asia & Pacific","Upper middle income","","American Samoa",
"ATG","Latin America & Caribbean","High income","","Antigua and Barbuda",
"AUS","East Asia & Pacific","High income","Fiscal year end: June 30; reporting period for national accounts data: FY.","Australia",
"AUT","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 13.7603 Austrian schilling. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries.","Austria",
"AZE","Europe & Central Asia","Upper middle income","","Azerbaijan",
"BDI","Sub-Saharan Africa","Low income","","Burundi",
"BEL","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 40.3399 Belgian franc. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries.","Belgium",
"BEN","Sub-Saharan Africa","Lower middle income","","Benin",
"BFA","Sub-Saharan Africa","Low income","","Burkina Faso",
"BGD","South Asia","Lower middle income","Fiscal year end: June 30; reporting period for national accounts data: FY.","Bangladesh",
"BGR","Europe & Central Asia","Upper middle income","","Bulgaria",
"BHR","Middle East & North Africa","High income","","Bahrain",
"BHS","Latin America & Caribbean","High income","","Bahamas, The",
"BIH","Europe & Central Asia","Upper middle income","","Bosnia and Herzegovina",
"BLR","Europe & Central Asia","Upper middle income","Data before 2015 were adjusted to reflect the new denomination effective from July 1, 2016 (BYN), a decrease of 10,000 times (1 BYN = 10,000 BYR)","Belarus",
"BLZ","Latin America & Caribbean","Upper middle income","","Belize",
"BMU","North America","High income","","Bermuda",
"BOL","Latin America & Caribbean","Lower middle income","","Bolivia",
"BRA","Latin America & Caribbean","Upper middle income","","Brazil",
"BRB","Latin America & Caribbean","High income","","Barbados",
"BRN","East Asia & Pacific","High income","","Brunei Darussalam",
"BTN","South Asia","Lower middle income","","Bhutan",
"BWA","Sub-Saharan Africa","Upper middle income","","Botswana",
"CAF","Sub-Saharan Africa","Low income","","Central African Republic",
"CAN","North America","High income","Fiscal year end: March 31; reporting period for national accounts data: CY.","Canada",
"CEB","","","Central Europe and the Baltics aggregate.","Central Europe and the Baltics",
"CHE","Europe & Central Asia","High income","","Switzerland",
"CHI","Europe & Central Asia","High income","","Channel Islands",
"CHL","Latin America & Caribbean","High income","","Chile",
"CHN","East Asia & Pacific","Upper middle income","On 1 July 1997 China resumed its exercise of sovereignty over Hong Kong; and on 20 December 1999 China resumed its exercise of sovereignty over Macao. Unless otherwise noted, data for China do not include data for Hong Kong SAR, China; Macao SAR, China; or Taiwan, China.","China",
"CIV","Sub-Saharan Africa","Lower middle income","","Côte d'Ivoire",
"CMR","Sub-Saharan Africa","Lower middle income","","Cameroon",
"COD","Sub-Saharan Africa","Low income","","Congo, Dem. Rep.",
"COG","Sub-Saharan Africa","Lower middle income","","Congo, Rep.",
"COL","Latin America & Caribbean","Upper middle income","","Colombia",
"COM","Sub-Saharan Africa","Lower middle income","","Comoros",
"CPV","Sub-Saharan Africa","Lower middle income","","Cabo Verde",
"CRI","Latin America & Caribbean","Upper middle income","","Costa Rica",
"CSS","","","","Caribbean small states",
"CUB","Latin America & Caribbean","Upper middle income","","Cuba",
"CUW","Latin America & Caribbean","High income","","Curaçao",
"CYM","Latin America & Caribbean","High income","","Cayman Islands",
"CYP","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate entered into force on January 1, 2008: 1 euro = 0.585274 Cyprus pounds. Please note that historical data are not actual euros and are not comparable or suitable for aggregation across countries.","Cyprus",
"CZE","Europe & Central Asia","High income","","Czech Republic",
"DEU","Europe & Central Asia","High income","","Germany",
"DJI","Middle East & North Africa","Lower middle income","","Djibouti",
"DMA","Latin America & Caribbean","Upper middle income","","Dominica",
"DNK","Europe & Central Asia","High income","","Denmark",
"DOM","Latin America & Caribbean","Upper middle income","","Dominican Republic",
"DZA","Middle East & North Africa","Lower middle income","","Algeria",
"EAP","","","East Asia and Pacific regional aggregate (does not include high-income economies).","East Asia & Pacific (excluding high income)",
"EAR","","","Early-dividend countries are mostly lower-middle-income countries further along the fertility transition. Fertility rates have fallen below four births per woman and the working-age share of the population is likely rising considerably.","Early-demographic dividend",
"EAS","","","East Asia and Pacific regional aggregate (includes all income levels).","East Asia & Pacific",
"ECA","","","Europe and Central Asia regional aggregate (does not include high-income economies).","Europe & Central Asia (excluding high income)",
"ECS","","","Europe and Central Asia regional aggregate (includes all income levels).","Europe & Central Asia",
"ECU","Latin America & Caribbean","Upper middle income","","Ecuador",
"EGY","Middle East & North Africa","Lower middle income","","Egypt, Arab Rep.",
"EMU","","","Euro area aggregate.","Euro area",
"ERI","Sub-Saharan Africa","Low income","","Eritrea",
"ESP","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 166.386 Spanish peseta. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries.","Spain",
"EST","Europe & Central Asia","High income","The following irrevocable euro conversion rate entered into force on January 1, 2011: 1 euro = 15.6466 Estonian kroon. Please note that historical data are not actual euros and are not comparable or suitable for aggregation across countries.","Estonia",
"ETH","Sub-Saharan Africa","Low income","Fiscal year end: July 7; reporting period for national accounts data: FY.","Ethiopia",
"EUU","","","European Union aggregate.","European Union",
"FCS","","","Fragile and conflict-affected situations aggregate. 

Countries are distinguished based on the nature and severity of issues they face. The classification uses the following categories:
- Countries with high levels of institutional and social fragility, identified based on publicly available indicators that measure the quality of policy and institutions and manifestations of fragility.
- Countries affected by violent conflict, identified based on a threshold number of conflict-related deaths relative to the population. This category includes two sub-categories based on the intensity of violence: countries in high-intensity conflict and countries in medium-intensity conflict.

For more information, please visit https://www.worldbank.org/en/topic/fragilityconflictviolence/brief/harmonized-list-of-fragile-situations.","Fragile and conflict affected situations",
"FIN","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 5.94573 Finnish markka. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries.","Finland",
"FJI","East Asia & Pacific","Upper middle income","","Fiji",
"FRA","Europe & Central Asia","High income","The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 6.55957 French franc. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries.","France",
"FRO","Europe & Central Asia","High income","","Faroe Islands",
"FSM","East Asia & Pacific","Lower middle income","Fiscal year ends on September 30; reporting period for national accounts data: FY. Based on the Pacific and Virgin Islands Training Initiative, national accounts data have been revised.","Micronesia, Fed. Sts.",
"GAB","Sub-Saharan Africa","Upper middle income","","Gabon",
"GBR","Europe & Central Asia","High income","","United Kingdom",
"GEO","Europe & Central Asia","Upper middle income","Includes self-governed areas only, which mostly exclude Abkhazia and South Ossetia, but small areas in Abkhazia and South Ossetia are included before 2008 or 2009 because of the changes in self-governed areas.","Georgia",
"GHA","Sub-Saharan Africa","Lower middle income","","Ghana",
"GIB","Europe & Central Asia","High income","","Gibraltar",
"GIN","Sub-Saharan Africa","Low income","","Guinea",
"GMB","Sub-Saharan Africa","Low income","","Gambia, The",
"GNB","Sub-Saharan Africa","Low income","","Guinea-Bissau",
"GNQ","Sub-Saharan Africa","Upper middle income","","Equatorial Guinea",
"GRC","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 340.75 Greek drachma. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries.","Greece",
"GRD","Latin America & Caribbean","Upper middle income","","Grenada",
"GRL","Europe & Central Asia","High income","","Greenland",
"GTM","Latin America & Caribbean","Upper middle income","","Guatemala",
"GUM","East Asia & Pacific","High income","","Guam",
"GUY","Latin America & Caribbean","Upper middle income","","Guyana",
"HIC","","","High income group aggregate. High-income economies are those in which 2019 GNI per capita was $12,536 or more.","High income",
"HKG","East Asia & Pacific","High income","On 1 July 1997 China resumed its exercise of sovereignty over Hong Kong. Unless otherwise noted, data for China do not include data for Hong Kong SAR, China; Macao SAR, China; or Taiwan, China. Agriculture value added includes mining and quarrying.","Hong Kong SAR, China",
"HND","Latin America & Caribbean","Lower middle income","","Honduras",
"HPC","","","Heavily indebted poor countries aggregate.","Heavily indebted poor countries (HIPC)",
"HRV","Europe & Central Asia","High income","","Croatia",
"HTI","Latin America & Caribbean","Low income","Fiscal year end: September 30; reporting period for national accounts data: FY.","Haiti",
"HUN","Europe & Central Asia","High income","","Hungary",
"IBD","","","IBRD only group aggregate.","IBRD only",
"IBT","","","IDA and IBRD total group aggregate (includes IDA only, IDA blend, and IBRD only).","IDA & IBRD total",
"IDA","","","IDA total group aggregate (includes IDA only and IDA blend).","IDA total",
"IDB","","","IDA blend group aggregate.","IDA blend",
"IDN","East Asia & Pacific","Upper middle income","Fiscal year end: March 31; reporting period for national accounts data: CY. Data for Indonesia include Timor-Leste through 1999 unless otherwise noted.","Indonesia",
"IDX","","","IDA only group aggregate.","IDA only",
"IMN","Europe & Central Asia","High income","","Isle of Man",
"IND","South Asia","Lower middle income","Fiscal year end: March 31; reporting period for national accounts data: FY.","India",
"IRL","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 0.787564 Irish pound. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries.","Ireland",
"IRN","Middle East & North Africa","Upper middle income","Fiscal year end: March 20; reporting period for national accounts data: FY.","Iran, Islamic Rep.",
"IRQ","Middle East & North Africa","Upper middle income","","Iraq",
"ISL","Europe & Central Asia","High income","","Iceland",
"ISR","Middle East & North Africa","High income","","Israel",
"ITA","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 1936.27 Italian lira. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries.","Italy",
"JAM","Latin America & Caribbean","Upper middle income","","Jamaica",
"JOR","Middle East & North Africa","Upper middle income","","Jordan",
"JPN","East Asia & Pacific","High income","Fiscal year end: March 31; reporting period for national accounts data: CY.","Japan",
"KAZ","Europe & Central Asia","Upper middle income","","Kazakhstan",
"KEN","Sub-Saharan Africa","Lower middle income","Fiscal year end: June 30; reporting period for national accounts data: CY.","Kenya",
"KGZ","Europe & Central Asia","Lower middle income","","Kyrgyz Republic",
"KHM","East Asia & Pacific","Lower middle income","","Cambodia",
"KIR","East Asia & Pacific","Lower middle income","","Kiribati",
"KNA","Latin America & Caribbean","High income","","St. Kitts and Nevis",
"KOR","East Asia & Pacific","High income","","Korea, Rep.",
"KWT","Middle East & North Africa","High income","","Kuwait",
"LAC","","","","Latin America & Caribbean (excluding high income)",
"LAO","East Asia & Pacific","Lower middle income","","Lao PDR",
"LBN","Middle East & North Africa","Upper middle income","","Lebanon",
"LBR","Sub-Saharan Africa","Low income","Pre-2000 data will be revised further for consistency and quality purpose.","Liberia",
"LBY","Middle East & North Africa","Upper middle income","","Libya",
"LCA","Latin America & Caribbean","Upper middle income","","St. Lucia",
"LCN","","","","Latin America & Caribbean",
"LDC","","","","Least developed countries: UN classification",
"LIC","","","Low income group aggregate. Low-income economies are those in which 2019 GNI per capita was $1,035 or less.","Low income",
"LIE","Europe & Central Asia","High income","","Liechtenstein",
"LKA","South Asia","Lower middle income","","Sri Lanka",
"LMC","","","Lower middle income group aggregate. Lower-middle-income economies are those in which 2019 GNI per capita was between $1,036 and $4,045.","Lower middle income",
"LMY","","","","Low & middle income",
"LSO","Sub-Saharan Africa","Lower middle income","Fiscal year end: March 31; reporting period for national accounts data: CY.","Lesotho",
"LTE","","","","Late-demographic dividend",
"LTU","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate entered into force on January 1, 2015: 1 euro = 3.45280 Lithuanian litas. Please note that historical data are not actual euros and are not comparable or suitable for aggregation across countries. Based on data from EUROSTAT, the new reference year is 2010.","Lithuania",
"LUX","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 40.3399 Luxembourg franc. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries.","Luxembourg",
"LVA","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate entered into force on January 1, 2014: 1 euro = 0.702804 Latvian lats. Please note that historical data are not actual euros and are not comparable or suitable for aggregation across countries. Based on data from EUROSTAT, the new reference year is 2010.","Latvia",
"MAC","East Asia & Pacific","High income","On 20 December 1999 China resumed its exercise of sovereignty over Macao. Unless otherwise noted, data for China do not include data for Hong Kong SAR, China; Macao SAR, China; or Taiwan, China.","Macao SAR, China",
"MAF","Latin America & Caribbean","High income","","St. Martin (French part)",
"MAR","Middle East & North Africa","Lower middle income","","Morocco",
"MCO","Europe & Central Asia","High income","","Monaco",
"MDA","Europe & Central Asia","Lower middle income","Excluding Transnistria. For 1950-94, World Bank estimates using UN World Population Prospects' growth rates of whole Moldova.","Moldova",
"MDG","Sub-Saharan Africa","Low income","","Madagascar",
"MDV","South Asia","Upper middle income","","Maldives",
"MEA","","","Middle East and North Africa regional aggregate (includes all income levels).","Middle East & North Africa",
"MEX","Latin America & Caribbean","Upper middle income","","Mexico",
"MHL","East Asia & Pacific","Upper middle income","Fiscal year ends on September 30; reporting period for national accounts data: FY.","Marshall Islands",
"MIC","","","Middle income group aggregate. Middle-income economies are those in which 2017 GNI per capita was between $996 and $12,055.","Middle income",
"MKD","Europe & Central Asia","Upper middle income","","North Macedonia",
"MLI","Sub-Saharan Africa","Low income","","Mali",
"MLT","Middle East & North Africa","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate entered into force on January 1, 2008: 1 euro = 0.4293 Maltese lira. Please note that historical data are not actual euros and are not comparable or suitable for aggregation across countries. National accounts data source from 1995 to 2015 is Eurostat; prior to 1995 is UN. The new reference year is 2010.","Malta",
"MMR","East Asia & Pacific","Lower middle income","Fiscal year end: March 31; reporting period for national accounts data: FY.","Myanmar",
"MNA","","","","Middle East & North Africa (excluding high income)",
"MNE","Europe & Central Asia","Upper middle income","Montenegro declared independence from Serbia and Montenegro on June 3, 2006. Where available, data for each country are shown separately. However, for Serbia, some indicators continue to include data for Montenegro through 2005.","Montenegro",
"MNG","East Asia & Pacific","Lower middle income","","Mongolia",
"MNP","East Asia & Pacific","High income","","Northern Mariana Islands",
"MOZ","Sub-Saharan Africa","Low income","","Mozambique",
"MRT","Sub-Saharan Africa","Lower middle income","National account data were adjusted to reflect the new banknote (1 new ouguiya = 10 old ouguiya)","Mauritania",
"MUS","Sub-Saharan Africa","High income","","Mauritius",
"MWI","Sub-Saharan Africa","Low income","","Malawi",
"MYS","East Asia & Pacific","Upper middle income","","Malaysia",
"NAC","","","North America regional aggregate. There are no economies in North America classified as low or middle income.","North America",
"NAM","Sub-Saharan Africa","Upper middle income","Fiscal year end: March 31; reporting period for national accounts data: CY.","Namibia",
"NCL","East Asia & Pacific","High income","","New Caledonia",
"NER","Sub-Saharan Africa","Low income","","Niger",
"NGA","Sub-Saharan Africa","Lower middle income","","Nigeria",
"NIC","Latin America & Caribbean","Lower middle income","","Nicaragua",
"NLD","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 2.20371 Netherlands guilder. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries.","Netherlands",
"NOR","Europe & Central Asia","High income","","Norway",
"NPL","South Asia","Lower middle income","Fiscal year end: July 14; reporting period for national accounts data: FY.","Nepal",
"NRU","East Asia & Pacific","High income","Fiscal year end: June 30; reporting period for national accounts data: FY.","Nauru",
"NZL","East Asia & Pacific","High income","Fiscal year end: March 31; reporting period for national accounts data: CY.","New Zealand",
"OED","","","","OECD members",
"OMN","Middle East & North Africa","High income","","Oman",
"OSS","","","","Other small states",
"PAK","South Asia","Lower middle income","Fiscal year end: June 30; reporting period for national accounts data: FY.","Pakistan",
"PAN","Latin America & Caribbean","High income","","Panama",
"PER","Latin America & Caribbean","Upper middle income","","Peru",
"PHL","East Asia & Pacific","Lower middle income","","Philippines",
"PLW","East Asia & Pacific","High income","Fiscal year ends on September 30; reporting period for national accounts data: FY.","Palau",
"PNG","East Asia & Pacific","Lower middle income","","Papua New Guinea",
"POL","Europe & Central Asia","High income","","Poland",
"PRE","","","Pre-dividend countries are mostly low-income countries, lagging in key human development indicators and with current fertility levels above four births per woman. They face very rapid population growth.","Pre-demographic dividend",
"PRI","Latin America & Caribbean","High income","Fiscal year end: June 30; reporting period for national accounts data: FY.","Puerto Rico",
"PRK","East Asia & Pacific","Low income","","Korea, Dem. People's Rep.",
"PRT","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 200.482 Portuguese escudo. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries.","Portugal",
"PRY","Latin America & Caribbean","Upper middle income","","Paraguay",
"PSE","Middle East & North Africa","Lower middle income","","West Bank and Gaza",
"PSS","","","Pacific island small states aggregate.","Pacific island small states",
"PST","","","Post-dividend countries are mostly high-income countries where fertility has transitioned below replacement levels.","Post-demographic dividend",
"PYF","East Asia & Pacific","High income","","French Polynesia",
"QAT","Middle East & North Africa","High income","","Qatar",
"ROU","Europe & Central Asia","High income","","Romania",
"RUS","Europe & Central Asia","Upper middle income","","Russian Federation",
"RWA","Sub-Saharan Africa","Low income","","Rwanda",
"SAS","","","","South Asia",
"SAU","Middle East & North Africa","High income","","Saudi Arabia",
"SDN","Sub-Saharan Africa","Low income","","Sudan",
"SEN","Sub-Saharan Africa","Lower middle income","","Senegal",
"SGP","East Asia & Pacific","High income","Fiscal year end: March 31; reporting period for national accounts data: CY.","Singapore",
"SLB","East Asia & Pacific","Lower middle income","","Solomon Islands",
"SLE","Sub-Saharan Africa","Low income","","Sierra Leone",
"SLV","Latin America & Caribbean","Lower middle income","","El Salvador",
"SMR","Europe & Central Asia","High income","","San Marino",
"SOM","Sub-Saharan Africa","Low income","","Somalia",
"SRB","Europe & Central Asia","Upper middle income","Montenegro declared independence from Serbia and Montenegro on June 3, 2006. Where available, data for each country are shown separately. However, for Serbia, some indicators, such as those series for which data appear only for Serbia and not Montenegro--e.g., aid, environment, external debt, balance of payments, various social indicators excluding population--continue to include data for Montenegro through 2005. Moreover, data from 1999 onward for Serbia for most indicators exclude data for Kosovo, 1999 being the year when Kosovo became a territory under international administration pursuant to UN Security Council Resolution 1244 (1999); any exceptions are noted. Kosovo became a World Bank member on June 29, 2009; available data are shown separately for Kosovo. In 2011, the Statistical Office of Serbia improved the methodology of national accounts data for 2003 onward. Specifically, the classification of sectors was revised.","Serbia",
"SSA","","","Sub-Saharan Africa regional aggregate (does not include high-income economies).","Sub-Saharan Africa (excluding high income)",
"SSD","Sub-Saharan Africa","Low income","","South Sudan",
"SSF","","","Sub-Saharan Africa regional aggregate (includes all income levels).","Sub-Saharan Africa",
"SST","","","Small states (members of the Small States Forum) aggregate.","Small states",
"STP","Sub-Saharan Africa","Lower middle income","National account data were adjusted to reflect the new banknote (1 new Dobra STN = 1000 old Dobra STD)","São Tomé and Principe",
"SUR","Latin America & Caribbean","Upper middle income","","Suriname",
"SVK","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate entered into force on January 1, 2009: 1 euro = 30.126 Slovak koruna. Please note that historical data are not actual euros and are not comparable or suitable for aggregation across countries.","Slovak Republic",
"SVN","Europe & Central Asia","High income","A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate entered into force on January 1, 2007: 1 euro = 239.64 Slovenian tolar. Please note that historical data are not actual euros and are not comparable or suitable for aggregation across countries.","Slovenia",
"SWE","Europe & Central Asia","High income","Fiscal year end: June 30; reporting period for national accounts data: CY.","Sweden",
"SWZ","Sub-Saharan Africa","Lower middle income","Fiscal year end: March 31; reporting period for national accounts data: CY. Authorities revised national accounts from 1999 to 2015.","Eswatini",
"SXM","Latin America & Caribbean","High income","","Sint Maarten (Dutch part)",
"SYC","Sub-Saharan Africa","High income","","Seychelles",
"SYR","Middle East & North Africa","Low income","","Syrian Arab Republic",
"TCA","Latin America & Caribbean","High income","","Turks and Caicos Islands",
"TCD","Sub-Saharan Africa","Low income","","Chad",
"TEA","","","East Asia & Pacific (IDA & IBRD countries) aggregate.","East Asia & Pacific (IDA & IBRD)",
"TEC","","","Europe & Central Asia (IDA & IBRD countries) aggregate.","Europe & Central Asia (IDA & IBRD)",
"TGO","Sub-Saharan Africa","Low income","","Togo",
"THA","East Asia & Pacific","Upper middle income","Fiscal year end: September 30; reporting period for national accounts data: CY.","Thailand",
"TJK","Europe & Central Asia","Low income","","Tajikistan",
"TKM","Europe & Central Asia","Upper middle income","","Turkmenistan",
"TLA","","","Latin America & the Caribbean (IDA & IBRD countries) aggregate.","Latin America & Caribbean (IDA & IBRD)",
"TLS","East Asia & Pacific","Lower middle income","","Timor-Leste",
"TMN","","","Middle East & North Africa (IDA & IBRD countries) aggregate.","Middle East & North Africa (IDA & IBRD)",
"TON","East Asia & Pacific","Upper middle income","","Tonga",
"TSA","","","South Asia (IDA & IBRD countries) aggregate.","South Asia (IDA & IBRD)",
"TSS","","","Sub-Saharan Africa (IDA & IBRD countries) aggregate.","Sub-Saharan Africa (IDA & IBRD)",
"TTO","Latin America & Caribbean","High income","","Trinidad and Tobago",
"TUN","Middle East & North Africa","Lower middle income","","Tunisia",
"TUR","Europe & Central Asia","Upper middle income","","Turkey",
"TUV","East Asia & Pacific","Upper middle income","","Tuvalu",
"TZA","Sub-Saharan Africa","Lower middle income","","Tanzania",
"UGA","Sub-Saharan Africa","Low income","Fiscal year end: June 30; reporting period for national accounts data: FY.","Uganda",
"UKR","Europe & Central Asia","Lower middle income","","Ukraine",
"UMC","","","Upper middle income group aggregate. Upper-middle-income economies are those in which 2019 GNI per capita was between $4,046 and $12,535.","Upper middle income",
"URY","Latin America & Caribbean","High income","","Uruguay",
"USA","North America","High income","","United States",
"UZB","Europe & Central Asia","Lower middle income","","Uzbekistan",
"VCT","Latin America & Caribbean","Upper middle income","","St. Vincent and the Grenadines",
"VEN","Latin America & Caribbean","Upper middle income","","Venezuela, RB",
"VGB","Latin America & Caribbean","High income","","British Virgin Islands",
"VIR","Latin America & Caribbean","High income","","Virgin Islands (U.S.)",
"VNM","East Asia & Pacific","Lower middle income","","Vietnam",
"VUT","East Asia & Pacific","Lower middle income","","Vanuatu",
"WLD","","","World aggregate.","World",
"WSM","East Asia & Pacific","Upper middle income","Fiscal year ends on June 30; reporting period for national accounts data: FY.","Samoa",
"XKX","Europe & Central Asia","Upper middle income","","Kosovo",
"YEM","Middle East & North Africa","Low income","","Yemen, Rep.",
"ZAF","Sub-Saharan Africa","Upper middle income","Fiscal year end: March 31; reporting period for national accounts data: CY.","South Africa",
"ZMB","Sub-Saharan Africa","Lower middle income","National accounts data were rebased to reflect the January 1, 2013, introduction of the new Zambian kwacha at a rate of 1,000 old kwacha = 1 new kwacha.","Zambia",
"ZWE","Sub-Saharan Africa","Lower middle income","","Zimbabwe",


Country Name,Country Code,Region,IncomeGroup,SpecialNotes
Aruba,ABW,Latin America & Caribbean,High income: nonOECD,SNA data for 2000-2011 are updated from official government statistics; 1994-1999 from UN databases. Base year has changed from 1995 to 2000.
Afghanistan,AFG,South Asia,Low income,Fiscal year end: March 20; reporting period for national accounts data: FY (from 2013 are CY). National accounts data are sourced from the IMF and differ from the Central Statistics Organization numbers due to exclusion of the opium economy.
Angola,AGO,Sub-Saharan Africa,Upper middle income,"April 2013 database update: Based on IMF data, national accounts data were revised for 2000 onward; the base year changed to 2002."
Albania,ALB,Europe & Central Asia,Upper middle income,
Andorra,AND,Europe & Central Asia,High income: nonOECD,
Arab World,ARB,,,Arab World aggregate. Arab World is composed of members of the League of Arab States.
United Arab Emirates,ARE,Middle East & North Africa,High income: nonOECD,"April 2013 database update: Based on data from the National Bureau of Statistics, national accounts data were revised for 2001 onward; the base year changed to 2007."
Argentina,ARG,Latin America & Caribbean,Upper middle income,
Armenia,ARM,Europe & Central Asia,Lower middle income,
American Samoa,ASM,East Asia & Pacific,Upper middle income,
Antigua and Barbuda,ATG,Latin America & Caribbean,High income: nonOECD,"April 2012 database update: Based on official government statistics, national accounts data were revised for 2000 onward; the base year changed to 2006."
Australia,AUS,East Asia & Pacific,High income: OECD,Fiscal year end: June 30; reporting period for national accounts data: FY. Value added current series updated by the Australian Bureau of Statistics; data revised from 1990 onward; Australia reports using SNA 2008.
Austria,AUT,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 13.7603 Austrian schilling. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries."
Azerbaijan,AZE,Europe & Central Asia,Upper middle income,April 2012 database update: National accounts historical expenditure series in constant prices were revised in line with State Statistical Committee data that were not previously available.
Burundi,BDI,Sub-Saharan Africa,Low income,
Belgium,BEL,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 40.3399 Belgian franc. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries."
Benin,BEN,Sub-Saharan Africa,Low income,
Burkina Faso,BFA,Sub-Saharan Africa,Low income,
Bangladesh,BGD,South Asia,Low income,Fiscal year end: June 30; reporting period for national accounts data: FY.
Bulgaria,BGR,Europe & Central Asia,Upper middle income,April 2011 database update: The National Statistical Office revised national accounts data from 1995 onward. GDP in current prices were about 4 percent higher than previous estimates.
Bahrain,BHR,Middle East & North Africa,High income: nonOECD,
"Bahamas, The",BHS,Latin America & Caribbean,High income: nonOECD,
Bosnia and Herzegovina,BIH,Europe & Central Asia,Upper middle income,
Belarus,BLR,Europe & Central Asia,Upper middle income,
Belize,BLZ,Latin America & Caribbean,Upper middle income,
Bermuda,BMU,North America,High income: nonOECD,
Bolivia,BOL,Latin America & Caribbean,Lower middle income,
Brazil,BRA,Latin America & Caribbean,Upper middle income,
Barbados,BRB,Latin America & Caribbean,High income: nonOECD,
Brunei Darussalam,BRN,East Asia & Pacific,High income: nonOECD,
Bhutan,BTN,South Asia,Lower middle income,April 2013 database update: Data were updated using the government of Bhutan macroeconomic framework.
Botswana,BWA,Sub-Saharan Africa,Upper middle income,"Fiscal year end: March 31; reporting period for national accounts data: CY. Based on official government statistics, national accounts data have been revised from 2006 onward; the new base year is 2006. Data before 2006 were reported on a fiscal year basis."
Sub-Saharan Africa (IFC classification),CAA,,,Sub-Saharan Africa (IFC classification) aggregate.
Central African Republic,CAF,Sub-Saharan Africa,Low income,
Canada,CAN,North America,High income: OECD,Fiscal year end: March 31; reporting period for national accounts data: CY.
East Asia and the Pacific (IFC classification),CEA,,,East Asia and the Pacific (IFC classification) aggregate.
Central Europe and the Baltics,CEB,,,Central Europe and the Baltics aggregate.
Europe and Central Asia (IFC classification),CEU,,,Europe and Central Asia (IFC classification) aggregate.
Switzerland,CHE,Europe & Central Asia,High income: OECD,
Channel Islands,CHI,Europe & Central Asia,High income: nonOECD,
Chile,CHL,Latin America & Caribbean,High income: OECD,
China,CHN,East Asia & Pacific,Upper middle income,"On 1 July 1997 China resumed its exercise of sovereignty over Hong Kong; and on 20 December 1999 China resumed its exercise of sovereignty over Macao. Unless otherwise noted, data for China do not include data for Hong Kong SAR, China; Macao SAR, China; or Taiwan, China. Based on data from the National Bureau of Statistics, the methodology for national accounts exports and imports of goods and services in constant prices have been revised from 2000 onward."
Côte d'Ivoire,CIV,Sub-Saharan Africa,Lower middle income,
Latin America and the Caribbean (IFC classification),CLA,,,Latin America and the Caribbean (IFC classification) aggregate.
Middle East and North Africa (IFC classification),CME,,,Middle East and North Africa (IFC classification) aggregate.
Cameroon,CMR,Sub-Saharan Africa,Lower middle income,
"Congo, Dem. Rep.",COD,Sub-Saharan Africa,Low income,"Based on INS (2000-09) and IMF (2010-13) data, national accounts data were revised for 2000 onward; the base year changed to 2005."
"Congo, Rep.",COG,Sub-Saharan Africa,Lower middle income,"April 2013 database update: Based on IMF data, national accounts data were revised for 1990 onward; the base year changed to 1990."
Colombia,COL,Latin America & Caribbean,Upper middle income,
Comoros,COM,Sub-Saharan Africa,Low income,
Cabo Verde,CPV,Sub-Saharan Africa,Lower middle income,"Cabo Verde is the new name for the country previously listed as Cape Verde. Based on official government statistics and IMF data, national accounts data have been revised from 1990 onward; the new base year is 2007."
Costa Rica,CRI,Latin America & Caribbean,Upper middle income,
South Asia (IFC classification),CSA,,,South Asia (IFC classification) aggregate.
Caribbean small states,CSS,,,"Caribbean small states aggregate. Includes Antigua and Barbuda, The Bahamas, Barbados, Belize, Guyana, Suriname, Dominica, Grenada, Jamaica, St. Kitts and Nevis, St. Lucia, St. Vincent and the Grenadines, and Trinidad and Tobago."
Cuba,CUB,Latin America & Caribbean,Upper middle income,
Curaçao,CUW,Latin America & Caribbean,High income: nonOECD,
Cayman Islands,CYM,Latin America & Caribbean,High income: nonOECD,
Cyprus,CYP,Europe & Central Asia,High income: nonOECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate entered into force on January 1, 2008: 1 euro = 0.585274 Cyprus pounds. Please note that historical data are not actual euros and are not comparable or suitable for aggregation across countries."
Czech Republic,CZE,Europe & Central Asia,High income: OECD,
Germany,DEU,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 1.95583 German mark. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries."
Djibouti,DJI,Middle East & North Africa,Lower middle income,
Dominica,DMA,Latin America & Caribbean,Upper middle income,"April 2012 database update: Based on official government statistics, national accounts data were revised for 2000 onward; the base year changed to 2006."
Denmark,DNK,Europe & Central Asia,High income: OECD,
Dominican Republic,DOM,Latin America & Caribbean,Upper middle income,
Algeria,DZA,Middle East & North Africa,Upper middle income,
East Asia & Pacific,EAP,,,East Asia and Pacific regional aggregate (does not include high-income economies).
East Asia & Pacific (all income levels),EAS,,,East Asia and Pacific regional aggregate (including high-income economies).
Europe & Central Asia,ECA,,,Europe and Central Asia regional aggregate (does not include high-income economies).
Europe & Central Asia (all income levels),ECS,,,Europe and Central Asia regional aggregate (including high-income economies).
Ecuador,ECU,Latin America & Caribbean,Upper middle income,National accounts have been revised from 1965 onward based on official government data; the new base year is 2007. The large upward changes are due to an improved calculation method for nominal GDP.
"Egypt, Arab Rep.",EGY,Middle East & North Africa,Lower middle income,Fiscal year end: June 30; reporting period for national accounts data: FY.
Euro area,EMU,,,Euro area aggregate.
Eritrea,ERI,Sub-Saharan Africa,Low income,"April 2013 database update: Based on IMF data, national accounts data were revised for 2000 onward; the base year changed to 2000."
Spain,ESP,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 166.386 Spanish peseta. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries."
Estonia,EST,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate entered into force on January 1, 2011: 1 euro = 15.6466 Estonian kroon. Please note that historical data are not actual euros and are not comparable or suitable for aggregation across countries."
Ethiopia,ETH,Sub-Saharan Africa,Low income,"Fiscal year end: July 7; reporting period for national accounts data: FY. Based on IMF data, national accounts data have been revised for 2000 onward; the new base year is 2011."
European Union,EUU,,,European Union aggregate.
Fragile and conflict affected situations,FCS,,,"Fragile situations aggregate. Note:  Countries with fragile situations are primarily International Development Association-eligible countries and nonmember or inactive countries and territories with a 3.2 or lower harmonized average of the World Bank's Country Policy and Institutional Assessment rating and the corresponding rating by a regional development bank, or that have had a UN or regional peacebuilding and political mission (for example by the African Union, European Union, or Organization of American States) or peacekeeping mission (for example, by the African Union, European Union, North Atlantic Treaty Organization, or Organization of American States) during the last three years.  This definition is pursuant to an agreement between the World Bank and other multilateral development banks at the start of the International Development Association 15 round in 2007. The list of countries and territories with fragile situations  is imperfect and used here to reflect a complex concept. The World Bank continues to work with partners and client countries to refine the concept."
Finland,FIN,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 5.94573 Finnish markka. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries."
Fiji,FJI,East Asia & Pacific,Upper middle income,"Based on data from the Bureau of Statistics, national accounts data on the expenditure side have been revised from 2005 onward; the new base year is 2005."
France,FRA,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 6.55957 French franc. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries."
Faeroe Islands,FRO,Europe & Central Asia,High income: nonOECD,
"Micronesia, Fed. Sts.",FSM,East Asia & Pacific,Lower middle income,"Fiscal year ends on September 30; reporting period for national accounts data: FY. Based on the Pacific and Virgin Islands Training Initiative, national accounts data have been revised from 2009 onward. 2013 estimates are based on the IMF Small States Monitor, Issue 1.2014. In 2010, the government statistical office revised national accounts data for 1995-2008."
Gabon,GAB,Sub-Saharan Africa,Upper middle income,
United Kingdom,GBR,Europe & Central Asia,High income: OECD,
Georgia,GEO,Europe & Central Asia,Lower middle income,
Ghana,GHA,Sub-Saharan Africa,Lower middle income,"In 2010, the Ghana Statistical Service revised the base year for Ghana's national accounts series from 1993 to 2006. The new GDP data were about 60 percent higher than previously reported and incorporated improved data sources and methodology."
Guinea,GIN,Sub-Saharan Africa,Low income,
"Gambia, The",GMB,Sub-Saharan Africa,Low income,"Fiscal year end: June 30; reporting period for national accounts data: CY. April 2013 database update: Based on official government statistics, national accounts data were revised for 2004 onward; the base year changed to 2004."
Guinea-Bissau,GNB,Sub-Saharan Africa,Low income,"In 2010, national accounts data for 2003-09 were revised. The new data had broader coverage of all sectors of the economy, and GDP in current prices averaged 89 percent higher than previous estimates."
Equatorial Guinea,GNQ,Sub-Saharan Africa,High income: nonOECD,National accounts have been revised from 1980 onward based on official government data; the new base year is 2006.
Greece,GRC,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 340.75 Greek drachma. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries."
Grenada,GRD,Latin America & Caribbean,Upper middle income,"April 2012 database update: Based on official government statistics, national accounts data were revised for 2000 onward; the base year changed to 2006."
Greenland,GRL,Europe & Central Asia,High income: nonOECD,
Guatemala,GTM,Latin America & Caribbean,Lower middle income,
Guam,GUM,East Asia & Pacific,High income: nonOECD,
Guyana,GUY,Latin America & Caribbean,Lower middle income,"In 2010, the Bureau of Statistics introduced a new series of GDP rebased to year 2006. Current price GDP averaged 63 percent higher than previous estimates."
High income,HIC,,,"High income group aggregate. High-income economies are those in which 2013 GNI per capita was $12,746 or more."
"Hong Kong SAR, China",HKG,East Asia & Pacific,High income: nonOECD,"On 1 July 1997 China resumed its exercise of sovereignty over Hong Kong. Unless otherwise noted, data for China do not include data for Hong Kong SAR, China; Macao SAR, China; or Taiwan, China. Agriculture value added includes mining and quarrying."
Honduras,HND,Latin America & Caribbean,Lower middle income,
Heavily indebted poor countries (HIPC),HPC,,,Heavily indebted poor countries aggregate.
Croatia,HRV,Europe & Central Asia,High income: nonOECD,"April 2013 database update: Based on official government statistics, the base year for constant price series changed to 2005."
Haiti,HTI,Latin America & Caribbean,Low income,"Fiscal year end: September 30; reporting period for national accounts data: FY. In 2010, the government revised national accounts data following changes in the methodology. Current price series since 1991 and constant price series since 1996 were revised."
Hungary,HUN,Europe & Central Asia,Upper middle income,"April 2012 database update: Based on data from the Organisation for Economic Co-operation and Development, national accounts data were revised for 1991 onward."
Indonesia,IDN,East Asia & Pacific,Lower middle income,Fiscal year end: March 31; reporting period for national accounts data: CY. Data for Indonesia include Timor-Leste through 1999 unless otherwise noted.
Isle of Man,IMN,Europe & Central Asia,High income: nonOECD,
India,IND,South Asia,Lower middle income,Fiscal year end: March 31; reporting period for national accounts data: FY. April 2013 database update: The India Central Statistical Office revised historical data series both current and constant going back to 1960 with 2004–05 as the base.
Ireland,IRL,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 0.787564 Irish pound. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries."
"Iran, Islamic Rep.",IRN,Middle East & North Africa,Upper middle income,Fiscal year end: March 20; reporting period for national accounts data: FY.
Iraq,IRQ,Middle East & North Africa,Upper middle income,National accounts have been revised from 2000 onward based on official government data; the new base year is 1988. The new series raises GDP significantly from previous estimates.
Iceland,ISL,Europe & Central Asia,High income: OECD,
Israel,ISR,Middle East & North Africa,High income: OECD,
Italy,ITA,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 1936.27 Italian lira. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries."
Jamaica,JAM,Latin America & Caribbean,Upper middle income,"April 2013 database update: Based on official government statistics, national accounts data were revised for 2002 onward; the base year changed to 2007."
Jordan,JOR,Middle East & North Africa,Upper middle income,
Japan,JPN,East Asia & Pacific,High income: OECD,Fiscal year end: March 31; reporting period for national accounts data: CY.
Kazakhstan,KAZ,Europe & Central Asia,Upper middle income,
Kenya,KEN,Sub-Saharan Africa,Low income,Fiscal year end: June 30; reporting period for national accounts data: CY.
Kyrgyz Republic,KGZ,Europe & Central Asia,Lower middle income,
Cambodia,KHM,East Asia & Pacific,Low income,
Kiribati,KIR,East Asia & Pacific,Lower middle income,"Based on IMF and World Bank data, GDP in current and constant prices have been revised from 2000 onward. Value added components are calculated using shares from the Asian Development Bank."
St. Kitts and Nevis,KNA,Latin America & Caribbean,High income: nonOECD,"April 2012 database update: Based on official government statistics, national accounts data were revised for 2000 onward; the base year changed to 2006."
"Korea, Rep.",KOR,East Asia & Pacific,High income: OECD,New base year is 2010. GDP data are available from 1970 onward while components are revised from 2000 onward only. Historical data in constant prices are linked to preserve growth rates.
Kosovo,KSV,Europe & Central Asia,Lower middle income,"Kosovo became a World Bank member on June 29, 2009. Since 1999, Kosovo has been a territory under international administration pursuant to UN Security Council Resolution 1244 (1999)."
Kuwait,KWT,Middle East & North Africa,High income: nonOECD,Fiscal year end: June 30; reporting period for national accounts data: CY.
Latin America & Caribbean,LAC,,,Latin America and Caribbean regional aggregate (does not include high-income economies).
Lao PDR,LAO,East Asia & Pacific,Lower middle income,
Lebanon,LBN,Middle East & North Africa,Upper middle income,
Liberia,LBR,Sub-Saharan Africa,Low income,"April 2013 database update: Based on IMF data, national accounts data were revised for 2000 onward; the base year changed to 2000."
Libya,LBY,Middle East & North Africa,Upper middle income,National accounts data are revised from 2010 to 2013 based on IMF and World Bank staff estimates.
St. Lucia,LCA,Latin America & Caribbean,Upper middle income,"April 2012 database update: Based on official government statistics, national accounts data were revised for 2000 onward; the base year changed to 2006."
Latin America & Caribbean (all income levels),LCN,,,Latin America and Caribbean regional aggregate (including high-income economies).
Least developed countries: UN classification,LDC,,,Least developed countries (UN classification) aggregate.
Low income,LIC,,,"Low income group aggregate. Low-income economies are those in which 2013 GNI per capita was $1,045 or less."
Liechtenstein,LIE,Europe & Central Asia,High income: nonOECD,
Sri Lanka,LKA,South Asia,Lower middle income,
Lower middle income,LMC,,,"Lower middle income group aggregate. Lower-middle-income economies are those in which 2013 GNI per capita was between $1,046 and $4,125."
Low & middle income,LMY,,,"Low and middle income group aggregate (all developing economies). Low- and middle-income economies are those in which 2013 GNI per capita was $12,745 or less."
Lesotho,LSO,Sub-Saharan Africa,Lower middle income,Fiscal year end: March 31; reporting period for national accounts data: CY.
Lithuania,LTU,Europe & Central Asia,High income: nonOECD,
Luxembourg,LUX,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 40.3399 Luxembourg franc. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries."
Latvia,LVA,Europe & Central Asia,High income: nonOECD,Country joined euro area on 1 January 2014; data in the WDI database are reported in lats.
"Macao SAR, China",MAC,East Asia & Pacific,High income: nonOECD,"On 20 December 1999 China resumed its exercise of sovereignty over Macao. Unless otherwise noted, data for China do not include data for Hong Kong SAR, China; Macao SAR, China; or Taiwan, China."
St. Martin (French part),MAF,Latin America & Caribbean,High income: nonOECD,
Morocco,MAR,Middle East & North Africa,Lower middle income,
Monaco,MCO,Europe & Central Asia,High income: nonOECD,
Moldova,MDA,Europe & Central Asia,Lower middle income,
Madagascar,MDG,Sub-Saharan Africa,Low income,
Maldives,MDV,South Asia,Upper middle income,April 2012 database update: The Department of National Planning revised national accounts data for 2000 onward; the base year changed to 2003.
Middle East & North Africa (all income levels),MEA,,,Middle East and North Africa regional aggregate (including high-income economies).
Mexico,MEX,Latin America & Caribbean,Upper middle income,The new base year is 2008.
Marshall Islands,MHL,East Asia & Pacific,Upper middle income,Fiscal year ends on September 30; reporting period for national accounts data: FY.
Middle income,MIC,,,"Middle income group aggregate. Middle-income economies are those in which 2013 GNI per capita was between $1,046 and $12,745."
"Macedonia, FYR",MKD,Europe & Central Asia,Upper middle income,"April 2012 database update: Based on official statistics, national accounts data were revised for 2003 onward."
Mali,MLI,Sub-Saharan Africa,Low income,
Malta,MLT,Middle East & North Africa,High income: nonOECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate entered into force on January 1, 2008: 1 euro = 0.4293 Maltese lira. Please note that historical data are not actual euros and are not comparable or suitable for aggregation across countries."
Myanmar,MMR,East Asia & Pacific,Low income,Fiscal year end: March 31; reporting period for national accounts data: FY.
Middle East & North Africa,MNA,,,Middle East and North Africa regional aggregate (does not include high-income economies).
Montenegro,MNE,Europe & Central Asia,Upper middle income,"Montenegro declared independence from Serbia and Montenegro on June 3, 2006. Where available, data for each country are shown separately. However, for Serbia, some indicators continue to include data for Montenegro through 2005."
Mongolia,MNG,East Asia & Pacific,Lower middle income,
Northern Mariana Islands,MNP,East Asia & Pacific,High income: nonOECD,
Mozambique,MOZ,Sub-Saharan Africa,Low income,
Mauritania,MRT,Sub-Saharan Africa,Lower middle income,"April 2012 database update: Based on official government statistics, data were revised for 1991 onward; the base year for constant price series changed to 2004."
Mauritius,MUS,Sub-Saharan Africa,Upper middle income,
Malawi,MWI,Sub-Saharan Africa,Low income,"Fiscal year end: March 31; reporting period for national accounts data: CY. Based on IMF data, national accounts data have been revised for 2000 onward; the new base year is 2009."
Malaysia,MYS,East Asia & Pacific,Upper middle income,"Based on official government statistics, value added in services in constant and current prices have been revised from 1990 onward. National accounts data in constant prices have been linked back to 1960; the new base year is 2005."
North America,NAC,,,North America regional aggregate. There are no economies in North America classified as low or middle income.
Namibia,NAM,Sub-Saharan Africa,Upper middle income,"Fiscal year end: March 31; reporting period for national accounts data: CY. Based on official government statistics, national accounts data have been revised from 1980 onward; the new base year is 2010."
New Caledonia,NCL,East Asia & Pacific,High income: nonOECD,
Niger,NER,Sub-Saharan Africa,Low income,"Based on official government statistics, national accounts data have been revised from 2006 onward; the new base year is 2006."
Nigeria,NGA,Sub-Saharan Africa,Lower middle income,"Based on official government statistics released 6 April, 2014, national accounts data have been revised from 2010 onward; the new base year is 2010. The new GDP data are 60 to 75 percent higher than previously reported and incorporate improved data sources and methodology."
Nicaragua,NIC,Latin America & Caribbean,Lower middle income,"April 2013 database update: Based on official government statistics, national accounts data were revised for 1994 onward; the base year changed to 2006."
Netherlands,NLD,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 2.20371 Netherlands guilder. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries."
High income: nonOECD,NOC,,,"High income nonOECD aggregate. High-income economies are those in which 2013 GNI per capita was $12,746 or more."
Norway,NOR,Europe & Central Asia,High income: OECD,
Nepal,NPL,South Asia,Low income,Fiscal year end: July 14; reporting period for national accounts data: FY.
New Zealand,NZL,East Asia & Pacific,High income: OECD,Fiscal year end: March 31; reporting period for national accounts data: FY.
High income: OECD,OEC,,,"High income OECD members aggregate. High-income economies are those in which 2013 GNI per capita was $12,746 or more."
OECD members,OED,,,"OECD members aggregate (all, including developing countries)."
Oman,OMN,Middle East & North Africa,High income: nonOECD,
Other small states,OSS,,,"Other small states aggregate. Includes Bhutan, Botswana, Cabo Verde, Comoros, Djibouti, Equatorial Guinea, Gabon, The Gambia, Guinea-Bissau, Lesotho, Maldives, Mauritius, Montenegro, Namibia, Sao Tome and Principe, Seychelles, Swaziland, and Timor-Leste."
Pakistan,PAK,South Asia,Lower middle income,Fiscal year end: June 30; reporting period for national accounts data: FY. The new base year is 2005/06.
Panama,PAN,Latin America & Caribbean,Upper middle income,
Peru,PER,Latin America & Caribbean,Upper middle income,
Philippines,PHL,East Asia & Pacific,Lower middle income,"Source for GNI and net income from abroad is changed to national statistical office from central bank. April 2012 database update: National accounts data were revised for 1998 onward. Because intellectual property products are now reported as a part of gross fixed capital formation, gross domestic product (GDP) in current prices averaged 4 percent higher than previous estimates."
Palau,PLW,East Asia & Pacific,Upper middle income,Fiscal year ends on September 30; reporting period for national accounts data: FY. National accounts data are revised based on IMF reports.
Papua New Guinea,PNG,East Asia & Pacific,Lower middle income,
Poland,POL,Europe & Central Asia,High income: OECD,
Puerto Rico,PRI,Latin America & Caribbean,High income: nonOECD,"Fiscal year end: June 30; reporting period for national accounts data: FY. April 2012 database update: Based on data from the Instituto de Estadísticas de Puerto Rico, national accounts data were revised for 2001 onward."
"Korea, Dem. Rep.",PRK,East Asia & Pacific,Low income,
Portugal,PRT,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate was adopted by the EU Council on January 1, 1999: 1 euro = 200.482 Portuguese escudo. Please note that historical data before 1999 are not actual euros and are not comparable or suitable for aggregation across countries."
Paraguay,PRY,Latin America & Caribbean,Lower middle income,"National accounts data have been revised from 1960 onward. The methodology and base year have not changed but the output of two hydroelectric plants (shared with neighboring countries) has been added raising GDP from previous estimates. On the supply side, it was added in ""gas, electricity and water."" On the demand side changes were mainly to exports, but also for imports, investment and consumption. National accounts price valuations for 1991 to 2012 have also been corrected and changed from VAP to VAB."
West Bank and Gaza,PSE,Middle East & North Africa,Lower middle income,
Pacific island small states,PSS,,,"Pacific island small states aggregate. Includes Fiji, Kiribati, Marshall Islands, Federated States of Micronesia, Palau, Samoa, Solomon Islands, Tonga, Tuvalu, and Vanuatu."
French Polynesia,PYF,East Asia & Pacific,High income: nonOECD,
Qatar,QAT,Middle East & North Africa,High income: nonOECD,
Romania,ROU,Europe & Central Asia,Upper middle income,National accounts have been revised based on data from the National Statistical Institute; the new base year is 2000.
Russian Federation,RUS,Europe & Central Asia,High income: nonOECD,
Rwanda,RWA,Sub-Saharan Africa,Low income,"Based on official government statistics, national accounts data are revised for 2006 onward; the new base year is 2011."
South Asia,SAS,,,South Asia regional aggregate. There are no economies in South Asia classified as high income.
Saudi Arabia,SAU,Middle East & North Africa,High income: nonOECD,
Sudan,SDN,Sub-Saharan Africa,Lower middle income,"Total population data are reported separately for Sudan and South Sudan; see specific notes for other demographic-related series. National accounts data exclude South Sudan after July 9, 2011. Other data reported for Sudan include South Sudan unless otherwise noted."
Senegal,SEN,Sub-Saharan Africa,Lower middle income,
Singapore,SGP,East Asia & Pacific,High income: nonOECD,Fiscal year end: March 31; reporting period for national accounts data: CY. Country reports using a blend of SNA 1993 and SNA 2008. April 2012 database update: National accounts time series were replaced with official government statistics.
Solomon Islands,SLB,East Asia & Pacific,Lower middle income,National accounts data have been revised from 2007 to 2013 based on IMF reports.
Sierra Leone,SLE,Sub-Saharan Africa,Low income,"Fiscal year end: June 30; reporting period for national accounts data: CY. April 2013 database update: Based on official government statistics, national accounts data were revised for 1990 onward; the base year changed to 2006."
El Salvador,SLV,Latin America & Caribbean,Lower middle income,
San Marino,SMR,Europe & Central Asia,High income: nonOECD,
Somalia,SOM,Sub-Saharan Africa,Low income,
Serbia,SRB,Europe & Central Asia,Upper middle income,"Montenegro declared independence from Serbia and Montenegro on June 3, 2006. Where available, data for each country are shown separately. However, for Serbia, some indicators, such as those series for which data appear only for Serbia and not Montenegro--e.g., aid, environment, external debt, balance of payments, various social indicators excluding population--continue to include data for Montenegro through 2005. Moreover, data from 1999 onward for Serbia for most indicators exclude data for Kosovo, 1999 being the year when Kosovo became a territory under international administration pursuant to UN Security Council Resolution 1244 (1999); any exceptions are noted. Kosovo became a World Bank member on June 29, 2009; available data are shown separately for Kosovo. In 2011, the Statistical Office of Serbia improved the methodology of national accounts data for 2003 onward. Specifically, the classification of sectors was revised, and GDP is now calculated using chain linked volumes in 2005 prices."
Sub-Saharan Africa,SSA,,,Sub-Saharan Africa regional aggregate (does not include high-income economies).
South Sudan,SSD,Sub-Saharan Africa,Lower middle income,"South Sudan declared its independence on July 9, 2011. Data are shown separately for South Sudan where available. However, data reported for Sudan include South Sudan unless otherwise noted. Though limited data are available in the WDI database for South Sudan, additional data are available from South Sudan's National Bureau of Statistics (http://ssnbs.org/)."
Sub-Saharan Africa (all income levels),SSF,,,Sub-Saharan Africa regional aggregate (including high-income economies).
Small states,SST,,,"Small states aggregate. Includes 41 members of the Small States Forum. (Does not include the high-income countries Bahrain, Brunei Darussalam, Cyprus, Estonia, Iceland, Malta, Qatar, and San Marino.)"
São Tomé and Principe,STP,Sub-Saharan Africa,Lower middle income,"Based on IMF data, national accounts data have been revised for 2000 onward; the new base year is 2000."
Suriname,SUR,Latin America & Caribbean,Upper middle income,
Slovak Republic,SVK,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate entered into force on January 1, 2009: 1 euro = 30.126 Slovak koruna. Please note that historical data are not actual euros and are not comparable or suitable for aggregation across countries."
Slovenia,SVN,Europe & Central Asia,High income: OECD,"A simple multiplier is used to convert the national currencies of EMU members to euros. The following irrevocable euro conversion rate entered into force on January 1, 2007: 1 euro = 239.64 Slovenian tolar. Please note that historical data are not actual euros and are not comparable or suitable for aggregation across countries."
Sweden,SWE,Europe & Central Asia,High income: OECD,Fiscal year end: June 30; reporting period for national accounts data: CY.
Swaziland,SWZ,Sub-Saharan Africa,Lower middle income,"Fiscal year end: March 31; reporting period for national accounts data: CY. In 2011, the Central Statistical Office revised national accounts data for 1990 onward."
Sint Maarten (Dutch part),SXM,Latin America & Caribbean,High income: nonOECD,
Seychelles,SYC,Sub-Saharan Africa,Upper middle income,"April 2013 database update: Based on official government statistics, national accounts data were revised for 1976 onward; the base year changed to 2006."
Syrian Arab Republic,SYR,Middle East & North Africa,Lower middle income,"April 2013 database update: Based on data from the Central Bureau of Statistics, national accounts data were revised for 2003 onward."
Turks and Caicos Islands,TCA,Latin America & Caribbean,High income: nonOECD,
Chad,TCD,Sub-Saharan Africa,Low income,"Based on IMF data, national accounts data have been revised for 2005 onward; the new base year is 2005."
Togo,TGO,Sub-Saharan Africa,Low income,"April 2013 database update: Based on IMF data, national accounts data have been revised for 2000; the new base year is 2000."
Thailand,THA,East Asia & Pacific,Upper middle income,Fiscal year end: September 30; reporting period for national accounts data: CY.
Tajikistan,TJK,Europe & Central Asia,Low income,
Turkmenistan,TKM,Europe & Central Asia,Upper middle income,"On January 1, 2009, the Turkmen manat was redenominated (1 new manat = 5,000 old manats)."
Timor-Leste,TLS,East Asia & Pacific,Lower middle income,"Based on official government statistics, national account data have been revised, and value added is measured at basic prices; the new base year is 2010."
Tonga,TON,East Asia & Pacific,Upper middle income,"Fiscal year ends on June 30; reporting period for national accounts data: FY. April 2013 database update: Based on data from the National Bureau of Statistics, national accounts data were revised; the base year changed to 2010/11."
Trinidad and Tobago,TTO,Latin America & Caribbean,High income: nonOECD,
Tunisia,TUN,Middle East & North Africa,Upper middle income,"National accounts data from 2005 onward have been revised based on data published by the Tunisian authorities. April 2012 database update: Based on data from the Central Bank and its Statistical Bulletin, national accounts data were revised for 1997 onward."
Turkey,TUR,Europe & Central Asia,Upper middle income,
Tuvalu,TUV,East Asia & Pacific,Upper middle income,"Based on data from the IMF, World Bank and government official statistics, national accounts data have been revised from 2006 onward. Value added is measured at producer prices up to 1999 and at basic prices from 2000 onward."
Tanzania,TZA,Sub-Saharan Africa,Low income,
Uganda,UGA,Sub-Saharan Africa,Low income,"Fiscal year end: June 30; reporting period for national accounts data: FY. In 2011, the Bureau of Statistics revised national accounts series for 1998 onward; the base year for constant price series changed to 2001/02."
Ukraine,UKR,Europe & Central Asia,Lower middle income,
Upper middle income,UMC,,,"Upper middle income group aggregate. Upper-middle-income economies are those in which 2013 GNI per capita was between $4,126 and $12,745."
Uruguay,URY,Latin America & Caribbean,High income: nonOECD,"In 2011, the Central Bank revised national accounts data for 2006 onward."
United States,USA,North America,High income: OECD,Fiscal year end: September 30; reporting period for national accounts data: CY.
Uzbekistan,UZB,Europe & Central Asia,Lower middle income,
St. Vincent and the Grenadines,VCT,Latin America & Caribbean,Upper middle income,"April 2012 database update: Based on official government statistics, national accounts data were revised for 2000 onward; the base year changed to 2006."
"Venezuela, RB",VEN,Latin America & Caribbean,Upper middle income,
Virgin Islands (U.S.),VIR,Latin America & Caribbean,High income: nonOECD,
Vietnam,VNM,East Asia & Pacific,Lower middle income,"Based on data from the Vietnam Statistics Office, national accounts data have been revised from 2000 onward; the new base year is 2010."
Vanuatu,VUT,East Asia & Pacific,Lower middle income,"Based on official government statistics, value added is measured at producer prices through 1997 and at basic prices from 1998 onward."
World,WLD,,,World aggregate.
Samoa,WSM,East Asia & Pacific,Lower middle income,Fiscal year ends on June 30; reporting period for national accounts data: FY. Data are revised from Samoa Bureau of Statistics and Central Bank of Samoa.
"Yemen, Rep.",YEM,Middle East & North Africa,Lower middle income,"Based on official government statistics and International Monetary Fund data, national accounts data have been revised for 1990 onward."
South Africa,ZAF,Sub-Saharan Africa,Upper middle income,Fiscal year end: March 31; reporting period for national accounts data: CY.
Zambia,ZMB,Sub-Saharan Africa,Lower middle income,"National accounts data have rebased to reflect the January 1, 2013, introduction of the new Zambian kwacha at a rate of 1,000 old kwacha = 1 new kwacha."
Zimbabwe,ZWE,Sub-Saharan Africa,Low income,"Fiscal year end: June 30; reporting period for national accounts data: CY. As of January 2009, multiple hard currencies, such as rand, pound sterling, euro and U.S. dollar are in use. Data are reported in U.S. dollars, the most-used currency."


Genus,Species,parameter_value,parameter_(tmax_or_tmin),error_estimate,error_type,sample_size,metric_type,metric_description,ramping_rate,duration_of_chronic_exposure,pretreatment_temp,pretreatment_duration,temp_before_pretreament_(held_or_FF_for_field_fresh),timing_of_collection,lat_of_collection,long_of_collection,elevation_of_collection,location_description,REF,life_stage,Phylum,Class,Order,Family,Realm_specific,Realm_general,Notes
Eleutherodactylus,coqui,37.1,tmax,0.66,SD,12,critical,no_response_to_prodding,0.5,NA,NA,NA,FF,spring,18.29,-65.8,700,El Yunque National Forest,Christian_et_al_1988,adult,Chordata,Amphibia,Anura,Eleutherodactylidae,,terrestrial,
Eleutherodactylus,coqui,37.2,tmax,0.8,SD,10,critical,no_response_to_prodding,0.5,NA,NA,NA,FF,spring,18.4,-66.05,15,University of Puerto Rico,Christian_et_al_1988,adult,Chordata,Amphibia,Anura,Eleutherodactylidae,,terrestrial,
Eleutherodactylus,coqui,36.8,tmax,0.6,SD,12,critical,no_response_to_prodding,0.5,NA,NA,NA,FF,fall,18.29,-65.8,700,El Yunque National Forest,Christian_et_al_1988,adult,Chordata,Amphibia,Anura,Eleutherodactylidae,,terrestrial,
Eleutherodactylus,coqui,37,tmax,0.45,SD,9,critical,no_response_to_prodding,0.5,NA,NA,NA,FF,fall,18.4,-66.05,15,University of Puerto Rico,Christian_et_al_1988,adult,Chordata,Amphibia,Anura,Eleutherodactylidae,,terrestrial,
Eleutherodactylus,coqui,7.5,tmin,0.5,SD,8,critical,no_response_to_prodding,0.5,NA,20,1w,NA,spring,18.29,-65.8,700,El Yunque National Forest,Christian_et_al_1988,adult,Chordata,Amphibia,Anura,Eleutherodactylidae,,terrestrial,
Eleutherodactylus,coqui,7.3,tmin,1.5,SD,10,critical,no_response_to_prodding,0.5,NA,20,1w,NA,spring,18.4,-66.05,15,University of Puerto Rico,Christian_et_al_1988,adult,Chordata,Amphibia,Anura,Eleutherodactylidae,,terrestrial,
Todus,mexicanus,,,,,,,,,,,,,,,,,,Merola-Zwartjes_&_Ligon_2000,,Chordata,Aves,Coraciiformes,Todidae,,terrestrial,UTNZ LTNZ
Donax,serra,34,tmax,,,,lethal,temperature_at_50%_damage_after_6h_treatment,NA,6h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,small
Donax,serra,35.6,tmax,,,,lethal,temperature_at_50%_damage_after_3h_treatment,NA,3h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,large
Donax,serra,34.8,tmax,,,,lethal,temperature_at_50%_damage_after_6h_treatment,NA,6h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,large
Donax,serra,31,tmax,,,,lethal,temperature_at_50%_damage_after_12h_treatment,NA,12h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,small
Donax,serra,29,tmax,,,,lethal,temperature_at_50%_damage_after_24h_treatment,NA,24h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,small
Donax,serra,27.2,tmax,,,,lethal,temperature_at_50%_damage_after_48h_treatment,NA,48h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,small
Donax,serra,27,tmax,,,,lethal,temperature_at_50%_damage_after_72h_treatment,NA,72h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,small
Donax,serra,27,tmax,,,,lethal,temperature_at_50%_damage_after_96h_treatment,NA,96h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,small
Donax,serra,33,tmax,,,,lethal,temperature_at_50%_damage_after_12h_treatment,NA,12h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,large
Donax,serra,31,tmax,,,,lethal,temperature_at_50%_damage_after_24h_treatment,NA,24h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,large
Donax,serra,29,tmax,,,,lethal,temperature_at_50%_damage_after_48h_treatment,NA,48h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,large
Donax,serra,29,tmax,,,,lethal,temperature_at_50%_damage_after_72h_treatment,NA,72h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,large
Donax,serra,27,tmax,,,,lethal,temperature_at_50%_damage_after_96h_treatment,NA,96h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,large
Donax,sordidus,35,tmax,,,,lethal,temperature_at_50%_damage_after_12h_treatment,NA,12h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,
Donax,sordidus,33,tmax,,,,lethal,temperature_at_50%_damage_after_24h_treatment,NA,24h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,
Donax,sordidus,29.2,tmax,,,,lethal,temperature_at_50%_damage_after_48h_treatment,NA,48h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,
Donax,sordidus,28.6,tmax,,,,lethal,temperature_at_50%_damage_after_72h_treatment,NA,72h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,
Donax,sordidus,27.2,tmax,,,,lethal,temperature_at_50%_damage_after_96h_treatment,NA,96h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Bivalvia,Veneroida,Donacidae,intertidal,marine,
Bullia,rhodostoma,34,tmax,,,,lethal,temperature_at_50%_damage_after_12h_treatment,NA,12h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1980,adult,Mollusca,Gastropoda,Neogastropoda,Nassariidae,intertidal,marine,small
Bullia,rhodostoma,33,tmax,,,,lethal,temperature_at_50%_damage_after_24h_treatment,NA,24h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1981,adult,Mollusca,Gastropoda,Neogastropoda,Nassariidae,intertidal,marine,small
Bullia,rhodostoma,31.5,tmax,,,,lethal,temperature_at_50%_damage_after_48h_treatment,NA,48h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1982,adult,Mollusca,Gastropoda,Neogastropoda,Nassariidae,intertidal,marine,small
Bullia,rhodostoma,30.9,tmax,,,,lethal,temperature_at_50%_damage_after_72h_treatment,NA,72h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1983,adult,Mollusca,Gastropoda,Neogastropoda,Nassariidae,intertidal,marine,small
Bullia,rhodostoma,30.8,tmax,,,,lethal,temperature_at_50%_damage_after_96h_treatment,NA,96h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1984,adult,Mollusca,Gastropoda,Neogastropoda,Nassariidae,intertidal,marine,small
Bullia,rhodostoma,34.7,tmax,,,,lethal,temperature_at_50%_damage_after_12h_treatment,NA,12h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1985,adult,Mollusca,Gastropoda,Neogastropoda,Nassariidae,intertidal,marine,large
Bullia,rhodostoma,32,tmax,,,,lethal,temperature_at_50%_damage_after_24h_treatment,NA,24h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1986,adult,Mollusca,Gastropoda,Neogastropoda,Nassariidae,intertidal,marine,large
Bullia,rhodostoma,31,tmax,,,,lethal,temperature_at_50%_damage_after_48h_treatment,NA,48h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1987,adult,Mollusca,Gastropoda,Neogastropoda,Nassariidae,intertidal,marine,large
Bullia,rhodostoma,28.8,tmax,,,,lethal,temperature_at_50%_damage_after_72h_treatment,NA,72h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1988,adult,Mollusca,Gastropoda,Neogastropoda,Nassariidae,intertidal,marine,large
Bullia,rhodostoma,28.4,tmax,,,,lethal,temperature_at_50%_damage_after_96h_treatment,NA,96h,20,overnight,NA,spring,-33.99,25.29,,"Maintland River Beach, Algoa Bay, South Africa",Ansell_&_McLachlan_1989,adult,Mollusca,Gastropoda,Neogastropoda,Nassariidae,intertidal,marine,large
Palirhoeus,eatoni,39.2,tmax,0.2,SE,10-15,critical,onset_of_spasm,0.25,NA,NA,NA,FF,summer,-46.9,37.73,2,"Marion Island, South Africa",Klok_&_Chown_2003,adult,Arthropoda,Insecta,Coleoptera,Brachyceridae,,terrestrial,
Palirhoeus,eatoni,35.4,tmax,0.8,SE,10-15,critical,onset_of_spasm,0.25,NA,0,7d,NA,summer,-46.9,37.73,2,"Marion Island, South Africa",Klok_&_Chown_2003,adult,Arthropoda,Insecta,Coleoptera,Brachyceridae,,terrestrial,
Palirhoeus,eatoni,36.9,tmax,0.6,SE,10-15,critical,onset_of_spasm,0.25,NA,7.5,7d,NA,summer,-46.9,37.73,2,"Marion Island, South Africa",Klok_&_Chown_2003,adult,Arthropoda,Insecta,Coleoptera,Brachyceridae,,terrestrial,
Palirhoeus,eatoni,36.5,tmax,0.4,SE,10-15,critical,onset_of_spasm,0.25,NA,15,7d,NA,summer,-46.9,37.73,2,"Marion Island, South Africa",Klok_&_Chown_2003,adult,Arthropoda,Insecta,Coleoptera,Brachyceridae,,terrestrial,
Palirhoeus,eatoni,30.7,tmax,1,SE,10-15,critical,onset_of_spasm,0.25,NA,NA,NA,FF,summer,-53.09,73.5,5,"Heard Island, Antarcticta",Klok_&_Chown_2003,adult,Arthropoda,Insecta,Coleoptera,Brachyceridae,,terrestrial,
Palirhoeus,eatoni,35.6,tmax,1.2,SE,10-15,critical,onset_of_spasm,0.25,NA,0,7d,NA,summer,-53.09,73.5,5,"Heard Island, Antarcticta",Klok_&_Chown_2003,adult,Arthropoda,Insecta,Coleoptera,Brachyceridae,,terrestrial,
Palirhoeus,eatoni,33.5,tmax,0.9,SE,10-15,critical,onset_of_spasm,0.25,NA,7.5,7d,NA,summer,-53.09,73.5,5,"Heard Island, Antarcticta",Klok_&_Chown_2003,adult,Arthropoda,Insecta,Coleoptera,Brachyceridae,,terrestrial,
Palirhoeus,eatoni,-1.8,tmin,0.1,SE,10-15,critical,righting_ability,0.25,NA,NA,NA,FF,summer,-46.9,37.73,5,"Marion Island, South Africa",Klok_&_Chown_2003,adult,Arthropoda,Insecta,Coleoptera,Brachyceridae,,terrestrial,
Palirhoeus,eatoni,-3.6,tmin,0.1,SE,10-15,critical,righting_ability,0.25,NA,0,7d,NA,summer,-46.9,37.73,5,"Marion Island, South Africa",Klok_&_Chown_2003,adult,Arthropoda,Insecta,Coleoptera,Brachyceridae,,terrestrial,
Palirhoeus,eatoni,-3.1,tmin,0.1,SE,10-15,critical,righting_ability,0.25,NA,7.5,7d,NA,summer,-46.9,37.73,5,"Marion Island, South Africa",Klok_&_Chown_2003,adult,Arthropoda,Insecta,Coleoptera,Brachyceridae,,terrestrial,
Palirhoeus,eatoni,-2.1,tmin,0.2,SE,10-15,critical,righting_ability,0.25,NA,15,7d,NA,summer,-46.9,37.73,5,"Marion Island, South Africa",Klok_&_Chown_2003,adult,Arthropoda,Insecta,Coleoptera,Brachyceridae,,terrestrial,
Cophosaurus,texanus,44.4,tmax,1.5,SE,8,critical,onset_of_rigor,1.5,NA,NA,NA,FF,summer,29.41,-103.2,1036,"Grapevine Hills, Big Bend National Park, Texas",Bashey_&_Dunham_1997,adult,Chordata,Lepidosauria,Squamata,Iguanidae,desert,terrestrial,"Average values are for pooled data since results did not differ significantly between locations, Ramping was 1-2°C/min"
Cophosaurus,texanus,44.4,tmax,1.5,SE,4,critical,onset_of_rigor,1.5,NA,NA,NA,FF,summer,29.22,-102.88,560,"Boquillas Canyon, Big Bend National Park, Texas",Bashey_&_Dunham_1997,adult,Chordata,Lepidosauria,Squamata,Iguanidae,desert,terrestrial,"Average values are for pooled data since results did not differ significantly between locations, Ramping was 1-2°C/min"
Cophosaurus,texanus,15.4,tmin,1.9,SE,8,critical,onset_of_rigor,1.5,NA,NA,NA,FF,summer,29.41,-103.2,1036,"Grapevine Hills, Big Bend National Park, Texas",Bashey_&_Dunham_1997,adult,Chordata,Lepidosauria,Squamata,Iguanidae,desert,terrestrial,"Average values are for pooled data since results did not differ significantly between locations, Ramping was 1-2°C/min"
Cophosaurus,texanus,15.4,tmin,1.9,SE,4,critical,onset_of_rigor,1.5,NA,NA,NA,FF,summer,29.22,-102.88,560,"Boquillas Canyon, Big Bend National Park, Texas",Bashey_&_Dunham_1997,adult,Chordata,Lepidosauria,Squamata,Iguanidae,desert,terrestrial,"Average values are for pooled data since results did not differ significantly between locations, Ramping was 1-2°C/min"
Ctenomys,talarum,25,tmin,,,3,LTNZ,Temperatures_above_UTNZ_results_in_higher_metabolic_rates,NA,NA,20.5,1w,NA,NA,-37.8,-57.5,,"Mar de Cobo, Argentina",Busch_1989,adult,Chordata,Mammalia,Rodentia,Ctenomyidae,,terrestrial,
Ctenomys,talarum,35,tmax,,,3,UTNZ,Temperatures_below_LTNZ_results_in_higher_metabolic_rates,NA,NA,20.5,1w,NA,NA,-37.8,-57.5,,"Mar de Cobo, Argentina",Busch_1989,adult,Chordata,Mammalia,Rodentia,Ctenomyidae,,terrestrial,
Rattus,fuscipes,28.1,tmin,,,<20,LTNZ,,NA,NA,25,4w,NA,NA,-34.84,116.33,,"Waychinicup River, Western Australia",Collins_1973,adult,Chordata,Mammalia,Rodentia,Muridae,,terrestrial,
Rattus,fuscipes,28.6,tmin,,,<20,LTNZ,,NA,NA,25,4w,NA,NA,-30.26,115.04,,"Jurian Bay, Western Australia",Collins_1973,adult,Chordata,Mammalia,Rodentia,Muridae,,terrestrial,
Rattus,fuscipes,32.9,tmax,,,<20,UTNZ,,NA,NA,25,4w,NA,NA,-34.84,116.33,,"Waychinicup River, Western Australia",Collins_1973,adult,Chordata,Mammalia,Rodentia,Muridae,,terrestrial,
Rattus,fuscipes,32.8,tmax,,,<20,UTNZ,,NA,NA,25,4w,NA,NA,-30.26,115.04,,"Jurian Bay, Western Australia",Collins_1973,adult,Chordata,Mammalia,Rodentia,Muridae,,terrestrial,
Dumontia,contorta,26,tmax,,,100,lethal,temperature_at_100%_damage_after_5w_treatment,NA,5w,NA,NA,12,NA,44.9,-66.3,,"Bay of Fundy, Nova Scotia",Rietema_&_van_den_Hoek_1981,microthalli/macrothalli,Phaeophyceae,Phaeophyceae,Ectocarpales,Chordariaceae,,marine,"Species name was not Dumontia contarta in original list, it was Punctaria latifolia"
Dumontia,contorta,26,tmax,,,100,lethal,temperature_at_100%_damage_after_5w_treatment,NA,5w,NA,NA,12,NA,45.25,-60.98,,"Ketch Harbor, Nova Scotia",Rietema_&_van_den_Hoek_1982,microthalli/macrothalli,Phaeophyceae,Phaeophyceae,Ectocarpales,Chordariaceae,,marine,
Dumontia,contorta,26,tmax,,,100,lethal,temperature_at_100%_damage_after_5w_treatment,NA,5w,NA,NA,12,NA,44.65,-63.57,,"Halifax Harbor, Nova Scotia",Rietema_&_van_den_Hoek_1983,microthalli/macrothalli,Phaeophyceae,Phaeophyceae,Ectocarpales,Chordariaceae,,marine,
Dumontia,contorta,0,tmin,,,100,critical,survival_of_microthalli_and_macrothalli,NA,,NA,NA,12,NA,44.9,-66.3,,"Bay of Fundy, Nova Scotia",Rietema_&_van_den_Hoek_1984,microthalli/macrothalli,Phaeophyceae,Phaeophyceae,Ectocarpales,Chordariaceae,,marine,
Dumontia,contorta,0,tmin,,,100,critical,survival_of_microthalli_and_macrothalli,NA,,NA,NA,12,NA,45.25,-60.98,,"Ketch Harbor, Nova Scotia",Rietema_&_van_den_Hoek_1985,microthalli/macrothalli,Phaeophyceae,Phaeophyceae,Ectocarpales,Chordariaceae,,marine,
Dumontia,contorta,0,tmin,,,100,critical,survival_of_microthalli_and_macrothalli,NA,,NA,NA,12,NA,44.65,-63.57,,"Halifax Harbor, Nova Scotia",Rietema_&_van_den_Hoek_1986,microthalli/macrothalli,Phaeophyceae,Phaeophyceae,Ectocarpales,Chordariaceae,,marine,
Dumontia,contorta,26,tmax,,,100,lethal,temperature_at_100%_damage_after_5w_treatment,NA,5w,NA,NA,12,NA,64,,,Southern Iceland,Rietema_&_van_den_Hoek_1986,microthalli/macrothalli,Phaeophyceae,Phaeophyceae,Ectocarpales,Chordariaceae,,marine,
Dumontia,contorta,0,tmin,,,100,critical,survival_of_microthalli_and_macrothalli,NA,,NA,NA,12,NA,64,,,Southern Iceland,Rietema_&_van_den_Hoek_1986,microthalli/macrothalli,Phaeophyceae,Phaeophyceae,Ectocarpales,Chordariaceae,,marine,
Rana,pipiens,31.4,tmax,,,100,critical,righting_ability,1,NA,5,2.5w,NA,summer,45,,304.8,Wisconsin,Brattstrom_1968,adult,Chordata,Amphibia,Anura,Ranidae,,terrestrial,
Rana,pipiens,34.7,tmax,,,100,critical,righting_ability,1,NA,23,2.5w,NA,summer,45,,304.8,Wisconsin,Brattstrom_1968,adult,Chordata,Amphibia,Anura,Ranidae,,terrestrial,
Rana,pipiens,35.4,tmax,,,100,critical,righting_ability,1,NA,30,2.5w,NA,summer,45,,304.8,Wisconsin,Brattstrom_1968,adult,Chordata,Amphibia,Anura,Ranidae,,terrestrial,
Rana,pipiens,30.8,tmax,,,10-100,critical,righting_ability,1,NA,5,2.5w,NA,summer,17,,2255.52,"Mexico, Chiapas, W. Casas",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Ranidae,,terrestrial,
Rana,pipiens,35.2,tmax,,,10-100,critical,righting_ability,1,NA,26,2.5w,NA,summer,17,,2255.52,"Mexico, Chiapas, W. Casas",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Ranidae,,terrestrial,
Rana,pipiens,30,tmax,,,10-100,critical,righting_ability,1,NA,5,2.5w,NA,summer,17,,2011.68,"Mexico, Chiapas, E.Casas",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Ranidae,,terrestrial,
Rana,pipiens,37,tmax,,,10-100,critical,righting_ability,1,NA,26,2.5w,NA,summer,17,,2011.68,"Mexico, Chiapas, E.Casas",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Ranidae,,terrestrial,
Rana,pipiens,31,tmax,,,10-100,critical,righting_ability,1,NA,5,2.5w,NA,summer,10,,1554.48,"Costa Rica, Vol. Turrialba",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Ranidae,,terrestrial,
Rana,pipiens,35.7,tmax,,,10-100,critical,righting_ability,1,NA,26,2.5w,NA,summer,10,,1554.48,"Costa Rica, Vol. Turrialba",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Ranidae,,terrestrial,
Rana,pipiens,-1.6,tmin,,,10-100,lethal,temperature_at_50%_damage_after_24h_treatment,NA,24h,23,7d,NA,summer,17,,2255.52,"Mexico, Chiapas, W. Casas",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Ranidae,,terrestrial,
Rana,pipiens,-1.6,tmin,,,10-100,lethal,temperature_at_50%_damage_after_24h_treatment,NA,24h,23,7d,NA,summer,17,,2011.68,"Mexico, Chiapas, E.Casas",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Ranidae,,terrestrial,
Rana,pipiens,-1.6,tmin,,,10-100,lethal,temperature_at_50%_damage_after_24h_treatment,NA,24h,23,7d,NA,summer,10,,1554.48,"Costa Rica, Vol. Turrialba",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Ranidae,,terrestrial,
Spea,hammondii,35.6,tmax,,,10-100,critical,righting_ability,1,NA,5,2.5w,NA,summer,34,,304.8,"Californa, El Toro",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Pelobatidae,,terrestrial,
Spea,hammondii,40.3,tmax,,,10-100,critical,righting_ability,1,NA,30,2.5w,NA,summer,34,,304.8,"Californa, El Toro",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Pelobatidae,,terrestrial,
Spea,hammondii,0,tmin,,,10-100,lethal,temperature_at_50%_damage_after_24h_treatment,NA,24h,23,7d,NA,summer,34,,304.8,"Californa, El Toro",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Pelobatidae,,terrestrial,
Spea,hammondii,35.2,tmax,,,10-100,critical,righting_ability,1,NA,5,2.5w,NA,summer,31,,304.8,"Mexico, Sonora",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Pelobatidae,,terrestrial,
Spea,hammondii,40,tmax,,,10-100,critical,righting_ability,1,NA,23,2.5w,NA,summer,31,,304.8,"Mexico, Sonora",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Pelobatidae,,terrestrial,
Spea,hammondii,1.25,tmin,,,10-100,lethal,temperature_at_50%_damage_after_24h_treatment,NA,24h,23,7d,NA,summer,31,,304.8,"Mexico, Sonora",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Pelobatidae,,terrestrial,average value of Ctmin (between 0-2.5)
Bufo,boreas,35,tmax,,,10-100,critical,righting_ability,1,NA,5,2.5w,NA,summer,34,,304.8,"Californa, El Toro",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Bufonidae,,terrestrial,
Bufo,boreas,36,tmax,,,10-100,critical,righting_ability,1,NA,15,2.5w,NA,summer,34,,304.8,"Californa, El Toro",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Bufonidae,,terrestrial,
Bufo,boreas,37.8,tmax,,,10-100,critical,righting_ability,1,NA,30,2.5w,NA,summer,34,,304.8,"Californa, El Toro",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Bufonidae,,terrestrial,
Bufo,boreas,34.9,tmax,,,10-100,critical,righting_ability,1,NA,5,2.5w,NA,summer,34,,304.8,"California, Hermosa",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Bufonidae,,terrestrial,
Bufo,boreas,36,tmax,,,10-100,critical,righting_ability,1,NA,15,2.5w,NA,summer,34,,304.8,"California, Hermosa",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Bufonidae,,terrestrial,
Bufo,boreas,38.1,tmax,,,10-100,critical,righting_ability,1,NA,30,2.5w,NA,summer,34,,304.8,"California, Hermosa",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Bufonidae,,terrestrial,
Bufo,boreas,35.2,tmax,,,10-100,critical,righting_ability,1,NA,5,2.5w,NA,summer,34,,304.8,"California, Whittier",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Bufonidae,,terrestrial,
Bufo,boreas,34,tmax,,,10-100,critical,righting_ability,1,NA,5,2.5w,NA,summer,52,,304.8,"British Columbia, Clinton",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Bufonidae,,terrestrial,
Bufo,boreas,35.5,tmax,,,10-100,critical,righting_ability,1,NA,30,2.5w,NA,summer,52,,304.8,"British Columbia, Clinton",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Bufonidae,,terrestrial,
Bufo,boreas,34.1,tmax,,,10-100,critical,righting_ability,1,NA,5,2.5w,NA,summer,35,,304.8,"California, Dry Lake",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Bufonidae,,terrestrial,
Bufo,boreas,36.5,tmax,,,10-100,critical,righting_ability,1,NA,30,2.5w,NA,summer,35,,304.8,"California, Dry Lake",Brattstrom_1968,adult,Chordata,Amphibia,Anura,Bufonidae,,terrestrial,
Crinia,parainsignifera,34,tmax,,,7,critical,righting_ability,1,NA,10,10d,NA,winter,-37,,304.8,"Victoria, Warrenbayne, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,parainsignifera,35.1,tmax,,,7,critical,onset_of_spasm,1,NA,10,10d,NA,winter,-37,,304.8,"Victoria, Warrenbayne, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,parainsignifera,30.5,tmax,,,2,critical,righting_ability,1,NA,5,10d,NA,spring,-32,,304.8,"NSW, Nyngan, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,parainsignifera,34.6,tmax,,,2,critical,onset_of_spasm,1,NA,5,10d,NA,spring,-32,,304.8,"NSW, Nyngan, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,32.3,tmax,,,9,critical,righting_ability,1,NA,5,10d,NA,spring,-31,,2500,"NSW, Armidale, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,33.1,tmax,,,9,critical,onset_of_spasm,1,NA,5,10d,NA,spring,-31,,2500,"NSW, Armidale, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,35.3,tmax,,,9,critical,righting_ability,1,NA,25,10d,NA,spring,-31,,2500,"NSW, Armidale, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,36.7,tmax,,,9,critical,onset_of_spasm,1,NA,25,10d,NA,spring,-31,,2500,"NSW, Armidale, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,30.5,tmax,,,3,critical,righting_ability,1,NA,5,10d,NA,spring,-34,,304.8,"NSW, Gosford, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,33.7,tmax,,,3,critical,onset_of_spasm,1,NA,5,10d,NA,spring,-34,,304.8,"NSW, Gosford, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,32.3,tmax,,,12,critical,righting_ability,1,NA,5,10d,NA,summer,-37,,1905,"NSW, Mount Kosciusko, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,33.8,tmax,,,12,critical,onset_of_spasm,1,NA,5,10d,NA,summer,-37,,1905,"NSW, Mount Kosciusko, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,34.9,tmax,,,12,critical,righting_ability,1,NA,25,10d,NA,summer,-37,,1905,"NSW, Mount Kosciusko, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,35.7,tmax,,,12,critical,onset_of_spasm,1,NA,25,10d,NA,summer,-37,,1905,"NSW, Mount Kosciusko, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,31.8,tmax,,,2,critical,righting_ability,1,NA,5,10d,NA,spring,-38,,304.8,"Victoria, Murrindal, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,35,tmax,,,2,critical,onset_of_spasm,1,NA,5,10d,NA,spring,-38,,304.8,"Victoria, Murrindal, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,32.8,tmax,,,13,critical,righting_ability,1,NA,5,10d,NA,winter,-38,,304.8,"Victoria, Buchan, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,34.5,tmax,,,13,critical,onset_of_spasm,1,NA,5,10d,NA,winter,-38,,304.8,"Victoria, Buchan, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,35,tmax,,,13,critical,righting_ability,1,NA,10,10d,NA,winter,-38,,304.8,"Victoria, Buchan, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,35.6,tmax,,,13,critical,onset_of_spasm,1,NA,10,10d,NA,winter,-38,,304.8,"Victoria, Buchan, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,35.5,tmax,,,13,critical,righting_ability,1,NA,20,10d,NA,winter,-38,,304.8,"Victoria, Buchan, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,33.2,tmax,,,13,critical,righting_ability,1,NA,10,10d,NA,winter,-38,,304.8,"Victoria, Knox, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,34.6,tmax,,,13,critical,onset_of_spasm,1,NA,10,10d,NA,winter,-38,,304.8,"Victoria, Knox, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,33.5,tmax,,,13,critical,righting_ability,1,NA,20,10d,NA,winter,-38,,304.8,"Victoria, Knox, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,34.7,tmax,,,13,critical,onset_of_spasm,1,NA,20,10d,NA,winter,-38,,304.8,"Victoria, Knox, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,31.6,tmax,,,39,critical,righting_ability,1,NA,5,10d,NA,spring,-38,,304.8,"Victoria, Grampians, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,33,tmax,,,39,critical,onset_of_spasm,1,NA,5,10d,NA,spring,-38,,304.8,"Victoria, Grampians, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,35.7,tmax,,,39,critical,righting_ability,1,NA,25,10d,NA,spring,-38,,304.8,"Victoria, Grampians, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,36.9,tmax,,,39,critical,onset_of_spasm,1,NA,25,10d,NA,spring,-38,,304.8,"Victoria, Grampians, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,30.8,tmax,,,15,critical,righting_ability,1,NA,5,10d,NA,spring,-43,,304.8,"Tasmania, Oatlands, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,34.2,tmax,,,15,critical,onset_of_spasm,1,NA,5,10d,NA,spring,-43,,304.8,"Tasmania, Oatlands, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,33.5,tmax,,,15,critical,righting_ability,1,NA,25,10d,NA,spring,-43,,304.8,"Tasmania, Oatlands, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,signifera,34.6,tmax,,,15,critical,onset_of_spasm,1,NA,25,10d,NA,spring,-43,,304.8,"Tasmania, Oatlands, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,victoriana,33,tmax,,,45,critical,righting_ability,1,NA,10,10d,NA,fall,-37,,304.8,"Victoria, Bendago, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,victoriana,34.4,tmax,,,45,critical,onset_of_spasm,1,NA,10,10d,NA,fall,-37,,304.8,"Victoria, Bendago, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,victoriana,35,tmax,,,45,critical,righting_ability,1,NA,25,10d,NA,fall,-37,,304.8,"Victoria, Bendago, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,victoriana,36.3,tmax,,,45,critical,onset_of_spasm,1,NA,25,10d,NA,fall,-37,,304.8,"Victoria, Bendago, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,victoriana,29.5,tmax,,,1,critical,righting_ability,1,NA,5,10d,NA,summer,-38,,304.8,"Victoria, Baw Baw, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Crinia,victoriana,31.7,tmax,,,1,critical,onset_of_spasm,1,NA,5,10d,NA,summer,-38,,304.8,"Victoria, Baw Baw, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Myobatrachidae,,terrestrial,
Hyla,alpina,29.6,tmax,,,36,critical,righting_ability,1,NA,5,10d,NA,summer,-37,,1981.2,"NSW, Mount Kosciusko, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,alpina,31.1,tmax,,,36,critical,onset_of_spasm,1,NA,5,10d,NA,summer,-37,,1981.2,"NSW, Mount Kosciusko, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,alpina,32.9,tmax,,,36,critical,righting_ability,1,NA,25,10d,NA,summer,-37,,1981.2,"NSW, Mount Kosciusko, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,alpina,34.8,tmax,,,36,critical,onset_of_spasm,1,NA,25,10d,NA,summer,-37,,1981.2,"NSW, Mount Kosciusko, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,alpina,32.2,tmax,,,3,critical,righting_ability,1,NA,17,10d,NA,summer,-37,,1767.84,"NSW, Snowy Mts, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,alpina,33.7,tmax,,,3,critical,onset_of_spasm,1,NA,17,10d,NA,summer,-37,,1767.84,"NSW, Snowy Mts, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,alpina,29,tmax,,,4,critical,righting_ability,1,NA,5,10d,NA,summer,-38,,926.64,"Victoria, Baw Baw, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,alpina,31.2,tmax,,,4,critical,onset_of_spasm,1,NA,5,10d,NA,summer,-38,,926.64,"Victoria, Baw Baw, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,alpina,32.2,tmax,,,4,critical,righting_ability,1,NA,25,10d,NA,summer,-38,,926.64,"Victoria, Baw Baw, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,alpina,35.1,tmax,,,4,critical,onset_of_spasm,1,NA,25,10d,NA,summer,-38,,926.64,"Victoria, Baw Baw, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,aurea,33.6,tmax,,,5,critical,righting_ability,1,NA,10,10d,NA,summer,-34,,304.8,"NSW, Gosford, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,aurea,35.1,tmax,,,5,critical,onset_of_spasm,1,NA,10,10d,NA,summer,-34,,304.8,"NSW, Gosford, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,aurea,34.2,tmax,,,1,critical,righting_ability,1,NA,10,10d,NA,fall,-38,,304.8,"Victoria, Buchan, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,aurea,35,tmax,,,1,critical,onset_of_spasm,1,NA,10,10d,NA,fall,-38,,304.8,"Victoria, Buchan, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,aurea,30,tmax,,,1,critical,righting_ability,1,NA,10,10d,NA,winter,-37,,304.8,"Victoria, Warrenbayne, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,aurea,34.5,tmax,,,4,critical,righting_ability,1,NA,10,10d,NA,winter,-39,,304.8,"Victoria, Wilson's Prom, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,aurea,35.6,tmax,,,4,critical,onset_of_spasm,1,NA,10,10d,NA,winter,-39,,304.8,"Victoria, Wilson's Prom, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,aurea,36.2,tmax,,,4,critical,righting_ability,1,NA,30,10d,NA,winter,-39,,304.8,"Victoria, Wilson's Prom, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,aurea,37,tmax,,,4,critical,onset_of_spasm,1,NA,30,10d,NA,winter,-39,,304.8,"Victoria, Wilson's Prom, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,caerulea,39.3,tmax,,,7,critical,righting_ability,1,NA,30,10d,NA,winter,-20,,304.8,"Qld, Townsville, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,caerulea,40,tmax,,,7,critical,onset_of_spasm,1,NA,30,10d,NA,winter,-20,,304.8,"Qld, Townsville, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,caerulea,35.4,tmax,,,11,critical,righting_ability,1,NA,10,10d,NA,winter,-21,,304.8,"Qld,Bowen, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,caerulea,36.5,tmax,,,11,critical,onset_of_spasm,1,NA,10,10d,NA,winter,-21,,304.8,"Qld,Bowen, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,caerulea,39.2,tmax,,,11,critical,righting_ability,1,NA,30,10d,NA,winter,-21,,304.8,"Qld,Bowen, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,caerulea,39.9,tmax,,,11,critical,onset_of_spasm,1,NA,30,10d,NA,winter,-21,,304.8,"Qld,Bowen, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,caerulea,34.6,tmax,,,2,critical,righting_ability,1,NA,10,10d,NA,winter,-34,,304.8,"NSW, Gosford, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,chloris,37,tmax,,,29,critical,righting_ability,1,NA,10,10d,NA,winter,-18,,2400,"Qld, Atherton, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,chloris,38,tmax,,,29,critical,onset_of_spasm,1,NA,10,10d,NA,winter,-18,,2400,"Qld, Atherton, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,chloris,38.3,tmax,,,29,critical,righting_ability,1,NA,30,10d,NA,winter,-18,,2400,"Qld, Atherton, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,chloris,39.5,tmax,,,29,critical,onset_of_spasm,1,NA,30,10d,NA,winter,-18,,2400,"Qld, Atherton, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,chloris,38.9,tmax,,,2,critical,righting_ability,1,NA,30,10d,NA,winter,-17,,304.8,"Qld, Cairns, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,chloris,40,tmax,,,2,critical,onset_of_spasm,1,NA,30,10d,NA,winter,-17,,304.8,"Qld, Cairns, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,30.7,tmax,,,8,critical,righting_ability,1,NA,5,10d,NA,spring,-31,,1066.8,"NSW, Armidale, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,33.9,tmax,,,8,critical,onset_of_spasm,1,NA,5,10d,NA,spring,-31,,1066.8,"NSW, Armidale, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,32.8,tmax,,,8,critical,righting_ability,1,NA,25,10d,NA,spring,-31,,1066.8,"NSW, Armidale, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,34.3,tmax,,,8,critical,onset_of_spasm,1,NA,25,10d,NA,spring,-31,,1066.8,"NSW, Armidale, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,32.7,tmax,,,2,critical,righting_ability,1,NA,5,10d,NA,summer,-34,,304.8,"NSW, Gosford, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,36,tmax,,,2,critical,onset_of_spasm,1,NA,5,10d,NA,summer,-34,,304.8,"NSW, Gosford, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,33,tmax,,,6,critical,righting_ability,1,NA,10,10d,NA,winter,-37,,304.8,"Victoria, Warrenbayne, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,35.3,tmax,,,6,critical,onset_of_spasm,1,NA,10,10d,NA,winter,-37,,304.8,"Victoria, Warrenbayne, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,30.8,tmax,,,8,critical,righting_ability,1,NA,5,10d,NA,spring,-38,,304.8,"Victoria, Grampians, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,33.6,tmax,,,8,critical,onset_of_spasm,1,NA,5,10d,NA,spring,-38,,304.8,"Victoria, Grampians, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,32.6,tmax,,,8,critical,righting_ability,1,NA,25,10d,NA,spring,-38,,304.8,"Victoria, Grampians, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,35.5,tmax,,,8,critical,onset_of_spasm,1,NA,25,10d,NA,spring,-38,,304.8,"Victoria, Grampians, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,32,tmax,,,6,critical,righting_ability,1,NA,5,10d,NA,winter,-37,,304.8,"Victoria, Knox, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,33.8,tmax,,,6,critical,onset_of_spasm,1,NA,5,10d,NA,winter,-37,,304.8,"Victoria, Knox, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,31.9,tmax,,,6,critical,righting_ability,1,NA,10,10d,NA,spring,-37,,304.8,"Victoria, Knox, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,34.5,tmax,,,6,critical,onset_of_spasm,1,NA,10,10d,NA,spring,-37,,304.8,"Victoria, Knox, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,34,tmax,,,6,critical,righting_ability,1,NA,20,10d,NA,spring,-37,,304.8,"Victoria, Knox, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,
Hyla,ewingi,36.1,tmax,,,6,critical,onset_of_spasm,1,NA,20,10d,NA,winter,-37,,304.8,"Victoria, Knox, Australia",Brattstrom_1970,adult,Chordata,Amphibia,Anura,Hylidae,,terrestrial,

Code,Indicator Name,Long definition,Source
ST.INT.RCPT.CD,"International tourism, receipts (current US$)","International tourism receipts are expenditures by international inbound visitors, including payments to national carriers for international transport. These receipts include any other prepayment made for goods or services received in the destination country. They also may include receipts from same-day visitors, except when these are important enough to justify separate classification. For some countries they do not include receipts for passenger transport items. Data are in current U.S. dollars.","World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files."
SM.POP.NETM,Net migration,"Net migration is the net total of migrants during the period, that is, the total number of immigrants less the annual number of emigrants, including both citizens and noncitizens. Data are five-year estimates.",United Nations Population Division. World Population Prospects: 2017 Revision.
SP.POP.GROW,Population growth (annual %),"Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.","Derived from total population. Population source: (1) United Nations Population Division. World Population Prospects: 2017 Revision, (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme."
EN.POP.DNST,Population density (people per sq. km of land area),"Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.",Food and Agriculture Organization and World Bank population estimates.


data_type,parameter_id,source_address,start_byte,start_bit,bit_length,endianness,error_value,resolution,offset,min,max,units,type,label
0,65248,0,4,0,32,0,4294967295,0.077671375,0,,,miles,Odometer,Odometer (Engine)
0,65248,23,4,0,32,0,4294967295,0.077671375,0,,,miles,Odometer,Odometer (Instrument Cluster)
0,65217,0,0,0,32,0,4294967295,0.003106855,0,,,miles,Odometer,Odometer - High Res (Instrument Cluster)
0,65217,23,0,0,32,0,4294967295,0.003106855,0,,,miles,Odometer,Odometer - High Res (Engine)
0,65265,0,1,0,16,0,65535,0.002485484,0,0,150,mph,Speed,Speed (Engine)
0,65265,17,1,0,16,0,65535,0.002485484,0,0,150,mph,Speed,Speed (Cruise Control)
0,65265,23,1,0,16,0,65535,0.002485484,0,0,150,mph,Speed,Speed (Instrument Cluster)
0,65215,11,1,0,16,0,65535,0.002485484,0,0,150,mph,Speed,Speed (Brakes System Controller - Axle Based)
0,65257,0,4,0,32,0,4294967295,0.132086,0,,,gallons,Total Engine Fuel Used,Total Engine Fuel Used
0,65253,0,0,0,32,0,4294967295,0.05,0,,,hrs,Total Engine Hours,Total Engine Hours
0,65262,0,0,0,8,1,255,1.8,-40,-40,300,F,Coolant Temperature,Coolant Temperature
0,65262,0,2,0,16,0,65535,0.05625,-459.4,-100,300,F,Oil Temperature,Oil Temperature
0,65263,0,3,0,8,1,255,0.580152,0,0,140,psi,Oil Pressure,Oil Pressure
0,65263,0,7,0,8,1,255,0.4,0,0,100,%,Coolant Level,Coolant Level
0,65276,0,1,0,8,1,255,0.4,0,0,100,%,Fuel Level %,Fuel Level %
0,65276,33,1,0,8,1,255,0.4,0,0,100,%,Fuel Level %,Fuel Level % (Body Controller)
0,61444,0,3,0,16,0,65535,0.125,0,0,8000,rpm,Engine RPM,Engine RPM
0,65110,0,0,0,8,1,255,0.4,0,0,100,%,Diesel Level,Diesel Level
1,245,128,0,0,32,1,4294967295,0.100040731,0,,,miles,Odometer,Odometer (Engine - j1708)
1,245,140,0,0,32,1,4294967295,0.100040731,0,,,miles,Odometer,Odometer (Instrument Cluster - j1708)
1,245,142,0,0,32,1,4294967295,0.100040731,0,,,miles,Odometer,Odometer (Vehicle Management System - j1708)
1,84,128,0,0,8,0,255,0.500203655,0,0,127,mph,Speed,Speed (Engine - j1708)
1,84,136,0,0,8,0,255,0.500203655,0,0,127,mph,Speed,Speed (Brakes Power Unit - j1708)
1,84,142,0,0,8,0,255,0.500203655,0,0,127,mph,Speed,Speed (Vehicle Management System - j1708)
1,84,144,0,0,8,0,255,0.500203655,0,0,127,mph,Speed,Speed (Cruise Control - j1708)
1,250,128,0,0,32,0,4294967295,0.124953356,0,,,gallons,Total Fuel Used,Total Fuel Used (j1708)
1,247,128,0,0,32,0,4294967295,0.05,0,,,hrs,Total Engine Hours,Total Engine Hours (j1708)
1,110,128,0,0,8,0,255,1,0,0,254,F,Coolant Temperature,Coolant Temperature (j1708)
1,175,128,0,0,16,0,65535,0.25,-8192,-100,300,F,Oil Temperature,Oil Temperature (j1708)
1,100,128,0,0,8,0,255,0.5003811,0,0,127,psi,Oil Pressure,Oil Pressure (j1708)
1,111,128,0,0,8,0,255,0.5,0,0,100,%,Coolant Level,Coolant Level (j1708)
1,96,128,0,0,8,0,255,0.5,0,0,100,%,Fuel Level %,Fuel Level % (j1708)
1,190,128,0,0,16,0,65535,0.25,0,0,8000,rpm,Engine RPM,Engine RPM (j1708)
1,237,128,0,0,136,1,0,1,0,,,string,VIN,VIN (j1708)
2,1,0,0,0,32,1,4294967295,0.0223694,0,0,150,mph,Speed,Speed (Engine)
2,1,0,4,0,32,1,0,1,0,,,miles,Trip Odometer,Calculated Trip Odometer
2,1,0,8,0,32,1,4294967295,0.1,0,0,8000,rpm,Engine RPM,Engine RPM
2,1,0,12,0,32,1,0,0.01,0,0,100,%,Fuel Level %,Fuel Level %
2,1,0,16,0,32,1,4294967295,0.000264172,0,,,gallons,Trip Fuel Consumption,Trip Fuel Consumption
2,1,0,20,0,32,1,0,0.1125,32,32,300,F,Coolant Temperature,Coolant Temperature
2,1,0,24,0,32,1,0,0.000264172,0,0,100,gallons,Fuel Level,Fuel Level
2,1,0,28,0,32,1,0,0.000621371,0,,,miles,Odometer,Odometer (Engine)
2,1,0,32,0,32,1,0,0.05,0,,,hrs,Total Engine Hours,Total Engine Hours
2,1,0,36,0,32,1,4294967295,0.000264172,0,0,20,gallons/h,Fuel Rate,Fuel Rate


encounter_category,encounter_type,svc_category,svc_desc,rate_per_encounter
Preventive,Well-Child Visits-Infant,Patient History,Patient History,1
Preventive,Well-Child Visits-Infant,Behavioral Health Screenings,Child Developmental Screening,0.17
Preventive,Well-Child Visits-Infant,Behavioral Health Screenings,Child Developmental Surveillance,1
Preventive,Well-Child Visits-Infant,Behavioral Health Screenings,Psychosocial/Behavioral Surveillance,0.5
Preventive,Well-Child Visits-Infant,Behavioral Health Screenings,Maternal Depression Screening,1
Preventive,Well-Child Visits-Infant,Measurements,length/height & weight,1
Preventive,Well-Child Visits-Infant,Measurements,head circumference,1
Preventive,Well-Child Visits-Infant,Measurements,BP,1
Preventive,Well-Child Visits-Infant,Physical Exam,Physical Exam,1
Preventive,Well-Child Visits-Infant,Sensory Screening,Vision Screening,1
Preventive,Well-Child Visits-Infant,Sensory Screening,Hearing Screening,0.5
Preventive,Well-Child Visits-Infant,Immunization,Hep B,0.5
Preventive,Well-Child Visits-Infant,Immunization,Rotavirus,0.5
Preventive,Well-Child Visits-Infant,Immunization,DTap,0.5
Preventive,Well-Child Visits-Infant,Immunization,Hib,0.5
Preventive,Well-Child Visits-Infant,Immunization,PCV12,0.5
Preventive,Well-Child Visits-Infant,Immunization,IPV,0.5
Preventive,Well-Child Visits-Infant,Immunization,flu,1
Preventive,Well-Child Visits-Infant,Lab,Newborn Blood,0.33
Preventive,Well-Child Visits-Infant,Lab,Newborn Bilirubin,0.17
Preventive,Well-Child Visits-Infant,Lab,Anemia Screening,0.17
Preventive,Well-Child Visits-Infant,Lab,Lead Screening,0.33
Preventive,Well-Child Visits-Infant,Oral Health,Identify Dental Home,0.33
Preventive,Well-Child Visits-Infant,Oral Health,Fluoride Supplementation,0.33
Preventive,Well-Child Visits-Infant,Counseling,Anticipatory Guidance,1
Preventive,Well Child Visits-Early Childhood,Patient History,Patient History,1
Preventive,Well Child Visits-Early Childhood,Behavioral Health Screenings,Child Developmental Screening,0.29
Preventive,Well Child Visits-Early Childhood,Behavioral Health Screenings,Autism Spectrum Disorder Screening,0.29
Preventive,Well Child Visits-Early Childhood,Behavioral Health Screenings,Child Developmental Surveillance,0.71
Preventive,Well Child Visits-Early Childhood,Behavioral Health Screenings,Psychosocial/Behavioral Surveillance,1
Preventive,Well Child Visits-Early Childhood,Measurements,head circumference,0.57
Preventive,Well Child Visits-Early Childhood,Measurements,length/height & weight,1
Preventive,Well Child Visits-Early Childhood,Measurements,BP,1
Preventive,Well Child Visits-Early Childhood,Physical Exam,Physical Exam,1
Preventive,Well Child Visits-Early Childhood,Sensory Screening,Vision Screening,1
Preventive,Well Child Visits-Early Childhood,Sensory Screening,Hearing Screening,1
Preventive,Well Child Visits-Early Childhood,Immunization,Hep B,0
Preventive,Well Child Visits-Early Childhood,Immunization,Dtap,0.14
Preventive,Well Child Visits-Early Childhood,Immunization,Hib,0.14
Preventive,Well Child Visits-Early Childhood,Immunization,PCV13,0.14
Preventive,Well Child Visits-Early Childhood,Immunization,IPV,0
Preventive,Well Child Visits-Early Childhood,Immunization,Influenza,0.57
Preventive,Well Child Visits-Early Childhood,Immunization,MMR,0.14
Preventive,Well Child Visits-Early Childhood,Immunization,VAR,0.14
Preventive,Well Child Visits-Early Childhood,Immunization,Hep A,0.29
Preventive,Well Child Visits-Early Childhood,Lab,Anemia Screening,1
Preventive,Well Child Visits-Early Childhood,Lab,Lead Screening,0.5
Preventive,Well Child Visits-Early Childhood,Lab,Dyslipidemia Screening,0.29
Preventive,Well Child Visits-Early Childhood,Oral Health,Identify Dental Home,0.86
Preventive,Well Child Visits-Early Childhood,Oral Health,Fluoride Varnish,0.86
Preventive,Well Child Visits-Early Childhood,Oral Health,Fluoride Supplementation,0.86
Preventive,Well Child Visits-Early Childhood,Counseling,Anticipatory Guidance,1
Preventive,Well Child Visits-Mid Childhood,Patient History,Patient History,1
Preventive,Well Child Visits-Mid Childhood,Behavioral Health Screenings,Child Developmental Screening,0
Preventive,Well Child Visits-Mid Childhood,Behavioral Health Screenings,Child Developmental Surveillance,1
Preventive,Well Child Visits-Mid Childhood,Behavioral Health Screenings,Psychosocial/Behavioral Surveillance,1
Preventive,Well Child Visits-Mid Childhood,Measurements,BMI,1
Preventive,Well Child Visits-Mid Childhood,Measurements,BP,1
Preventive,Well Child Visits-Mid Childhood,Physical Exam,Physical Exam,1
Preventive,Well Child Visits-Mid Childhood,Sensory Screening,Vision Screening,1
Preventive,Well Child Visits-Mid Childhood,Sensory Screening,Hearing Screening,1
Preventive,Well Child Visits-Mid Childhood,Physical Screening,Obesity Screening,1
Preventive,Well Child Visits-Mid Childhood,Immunization,DTaP,0.17
Preventive,Well Child Visits-Mid Childhood,Immunization,Polio,0.17
Preventive,Well Child Visits-Mid Childhood,Immunization,Hib,0
Preventive,Well Child Visits-Mid Childhood,Immunization,MMR,0.17
Preventive,Well Child Visits-Mid Childhood,Immunization,VAR,0.14
Preventive,Well Child Visits-Mid Childhood,Immunization,Flu,1
Preventive,Well Child Visits-Mid Childhood,Lab,Anemia Screening,1
Preventive,Well Child Visits-Mid Childhood,Lab,Lead Screening,0.33
Preventive,Well Child Visits-Mid Childhood,Lab,Dyslipidemia Screening,0.5
Preventive,Well Child Visits-Mid Childhood,Lab,TB* Screening,1
Preventive,Well Child Visits-Mid Childhood,Oral Health,Identify Dental Home,1
Preventive,Well Child Visits-Mid Childhood,Oral Health,Fluoride Supplementation,1
Preventive,Well Child Visits-Mid Childhood,Counseling,Anticipatory Guidance,1
Preventive,Well-Child Visits-Adolescence,Counseling,Anticipatory Guidance,1
Preventive,Well-Child Visits-Adolescence,Patient History,Patient History,1
Preventive,Well-Child Visits-Adolescence,Behavioral Health Screenings,Child Developmental Screening,0
Preventive,Well-Child Visits-Adolescence,Behavioral Health Screenings,Child Developmental Surveillance,1
Preventive,Well-Child Visits-Adolescence,Behavioral Health Screenings,Psychosocial/Behavioral Surveillance,1
Preventive,Well-Child Visits-Adolescence,Behavioral Health Screenings,Tobacco/Alcohol/Drug Use,1
Preventive,Well-Child Visits-Adolescence,Behavioral Health Screenings,Depression Screening,1
Preventive,Well-Child Visits-Adolescence,Measurements,BMI,1
Preventive,Well-Child Visits-Adolescence,Measurements,BP,1
Preventive,Well-Child Visits-Adolescence,Physical Exam,Physical Exam,1
Preventive,Well-Child Visits-Adolescence,Sensory Screening,Vision Screening,1
Preventive,Well-Child Visits-Adolescence,Sensory Screening,Hearing Screening,1
Preventive,Well-Child Visits-Adolescence,Physical Screening,Obesity Screening,1
Preventive,Well-Child Visits-Adolescence,Lab,HIV Screening,1
Preventive,Additional Screening: STI,Lab,Gonorrhea Screening,1
Preventive,Additional Screening: STI,Lab,Chlamydia Screening,1
Preventive,Well-Child Visits-Adolescence,Immunization,Flu,1
Preventive,Well-Child Visits-Adolescence,Immunization,Meningococcal,0
Preventive,Well-Child Visits-Adolescence,Immunization,Tdap,0
Preventive,Well-Child Visits-Adolescence,Immunization,HPV,0
Preventive,Well-Child Visits-Adolescence,Lab,Anemia Screening,1
Preventive,Well-Child Visits-Adolescence,Lab,Dyslipidemia Screening,1
Preventive,Well-Child Visits-Adolescence,Lab,TB* Screening,1
Preventive,Well-Child Visits-Adolescence,Lab,STI Screening,1
Preventive,Well-Child Visits-Adolescence,Oral Health,Fluoride Supplementation,0.5
Preventive,Adult Wellness Visits-Under 65,Patient History,Patient History,1
Preventive,Adult Wellness Visits-Under 65,Behavioral Health Screenings,Alcohol Misuse Screening,1
Preventive,Adult Wellness Visits-Under 65,Behavioral Health Screenings,Depression Screening,1
Preventive,Addl Screening: Int Part Violence,Behavioral Health Screenings,Intimate partner violence screening,1
Preventive,Adult Wellness Visits-Under 65,Measurements,BMI,1
Preventive,Adult Wellness Visits-Under 65,Measurements,BP,1
Preventive,Adult Wellness Visits-Under 65,Physical Exam,Physical Exam,1
Preventive,Adult Wellness Visits-Under 65,Sensory Screening,Vision Screening,1
Preventive,Adult Wellness Visits-Under 65,Sensory Screening,Hearing Screening,1
Preventive,Adult Wellness Visits-Under 65,Physical Screening,Obesity Screening,1
Preventive,Addl Screening: Cerv Cancer,Lab,Cervical Cancer Screening,1
Preventive,Addl Screening: Breast Cancer,Physical Screening,Breast Cancer Screening,1
Preventive,Addl Screening: Osteoporosis,Physical Screening,Osteoporosis Screening,1
Preventive,Adult Wellness Visits-Under 65,Immunization,Influenza,1
Preventive,Adult Wellness Visits-Under 65,Immunization,MMR,1
Preventive,Adult Wellness Visits-Under 65,Immunization,HZV,0.02
Preventive,Adult Wellness Visits-Over 65,Immunization,HZV,0.04
Preventive,Adult Wellness Visits-Under 65,Lab,Lab,1
Preventive,Adult Wellness Visits-Under 65,Lab,HIV Screening,0.02
Preventive,Adult Wellness Visits-Under 65,Lab,Hepititis C Screening,0.08
Preventive,Adult Wellness Visits-Under 65,Oral Health,Identify Dental Home,1
Preventive,Adult Wellness Visits-Under 65,Counseling,Alcohol Misuse Counseling,1
Preventive,Adult Wellness Visits-Under 65,Counseling,Tobacco Use Prevention and Counseling ,1
Preventive,Adult Wellness Visits-Under 65,Counseling,Sexually Transmitted Infections Counseling,1
Preventive,Adult Wellness Visits-Under 65,Counseling,Skin Cancer Behavioral Counseling,1
Preventive,Adult Wellness Visits-Under 65,Counseling,Visit wrap-up/care planning,1
Preventive,Adult Wellness Visits-Over 65,Patient History,Patient History,1
Preventive,Adult Wellness Visits-Over 65,Counseling,Alcohol Misuse Counseling,1
Preventive,Adult Wellness Visits-Over 65,Behavioral Health Screenings,Alcohol Misuse Screening,1
Preventive,Adult Wellness Visits-Over 65,Behavioral Health Screenings,Depression Screening,1
Preventive,Adult Wellness Visits-Over 65,Measurements,BMI,1
Preventive,Adult Wellness Visits-Over 65,Measurements,BP,1
Preventive,Adult Wellness Visits-Over 65,Physical Exam,Physical Exam,1
Preventive,Adult Wellness Visits-Over 65,Sensory Screening,Vision Screening,1
Preventive,Adult Wellness Visits-Over 65,Sensory Screening,Hearing Screening,1
Preventive,Adult Wellness Visits-Over 65,Physical Screening,Obesity Screening,1
Preventive,Adult Wellness Visits-Over 65,Immunization,Influenza,1
Preventive,Adult Wellness Visits-Under 65,Immunization,Td/Tdap,0.02
Preventive,Adult Wellness Visits-Over 65,Immunization,Td/Tdap,0.04
Preventive,Adult Wellness Visits-Over 65,Immunization,VAR,0.05
Preventive,Adult Wellness Visits-Over 65,Oral Health,Identify Dental Home,1
Preventive,Adult Wellness Visits-Over 65,Counseling,Advanced Care Planning,1
Preventive,Adult Wellness Visits-Over 65,Counseling,Visit wrap-up/care planning,1
Chronic,Chronic Care Needs: Obesity,Physical Screening,Abdominal aortic aneurysm screening,1
Chronic,Chronic Care Needs: Smoker,Physical Screening,Lung Cancer Screening,1
Chronic,Chronic Care Needs: Smoker,Counseling,Tobacco Use Counseling,1
Chronic,Chronic Care Needs: Obesity,Counseling,Obesity Counseling,1
Chronic,Chronic Care Needs: Obesity,Physical Screening,Diabetes Screening,1
Chronic,Chronic Care Needs: Obesity,Counseling,Diet/Physical Activity Counseling,1
Preventive,Addl Screen and Counsel: BRCA,Counseling,BRCA risk assessment and genetic counseling,1
Preventive,Addl Counsel: Breast Cancer Prev Rx,Counseling,Breast Cancer Preventive Medications,1
Preventive,Addl Counsel: Folic Acid Supp,Counseling,Folic Acid Supplementation,1
Preventive,Addl Screening: Colon Cancer,Physical Screening,Colorectal Cancer Screening,1
Acute,Acute Level 1 visit,Measurements,BP,1
Acute,Acute Level 1 visit,Measurements,Weight,1
Acute,Acute Level 1 visit,Measurements,Temp,1
Acute,Acute Level 1 visit,Patient History,Data Collection,1
Acute,Acute Level 1 visit,Physical Exam,Problem Oriented Physical,1
Acute,Acute Level 1 visit,Lab,Orders,1
Acute,Acute Level 1 visit,Lab,Results Consultation,1
Acute,Acute Level 1 visit,Pharmacological Treatment/Mgmt,Orders/scripts,1
Acute,Acute Level 1 visit,Counseling,Visit wrap-up/care planning,1
Acute,Acute Level 2 visit,Measurements,BP,1
Acute,Acute Level 2 visit,Measurements,Weight,1
Acute,Acute Level 2 visit,Measurements,Temp,1
Acute,Acute Level 2 visit,Patient History,Data Collection,1
Acute,Acute Level 2 visit,Physical Exam,Problem Oriented Physical,1
Acute,Acute Level 2 visit,Lab,Orders,1
Acute,Acute Level 2 visit,Lab,Results Consultation,1
Acute,Acute Level 2 visit,Pharmacological Treatment/Mgmt,Orders/scripts,1
Acute,Acute Level 2 visit,Counseling,Visit wrap-up/care planning,1
Acute,Acute Level 3 visit,Measurements,BP,1
Acute,Acute Level 3 visit,Measurements,Weight,1
Acute,Acute Level 3 visit,Measurements,Temp,1
Acute,Acute Level 3 visit,Patient History,Data Collection,1
Acute,Acute Level 3 visit,Physical Exam,Problem Oriented Physical,1
Acute,Acute Level 3 visit,Lab,Orders,1
Acute,Acute Level 3 visit,Lab,Results Consultation,1
Acute,Acute Level 3 visit,Pharmacological Treatment/Mgmt,Orders/scripts,1
Acute,Acute Level 3 visit,Counseling,Visit wrap-up/care planning,1
Acute,Acute Level 4 visit,Measurements,BP,1
Acute,Acute Level 4 visit,Measurements,Weight,1
Acute,Acute Level 4 visit,Measurements,Temp,1
Acute,Acute Level 4 visit,Patient History,Data Collection,1
Acute,Acute Level 4 visit,Physical Exam,Problem Oriented Physical,1
Acute,Acute Level 4 visit,Lab,Orders,1
Acute,Acute Level 4 visit,Lab,Results Consultation,1
Acute,Acute Level 4 visit,Pharmacological Treatment/Mgmt,Orders/scripts,1
Acute,Acute Level 4 visit,Counseling,Visit wrap-up/care planning,1
Chronic,Chronic Maintenance Visit: Other,Counseling,Visit wrap-up/care planning,1
Chronic,Chronic Maintenance Visit: Other,Lab,Orders,1
Chronic,Chronic Maintenance Visit: Other,Lab,Results Consultation,1
Chronic,Chronic Maintenance Visit: Other,Measurements,BP,1
Chronic,Chronic Maintenance Visit: Other,Measurements,Temp,1
Chronic,Chronic Maintenance Visit: Other,Measurements,Weight,1
Chronic,Chronic Maintenance Visit: Other,Patient History,Data Collection,1
Chronic,Chronic Maintenance Visit: Other,Patient History,Interval history/Consultation,1
Chronic,Chronic Maintenance Visit: Other,Pharmacological Treatment/Mgmt,Condition Consultation,1
Chronic,Chronic Maintenance Visit: Other,Pharmacological Treatment/Mgmt,Orders/scripts,1
Chronic,Chronic Maintenance Visit: Other,Physical Exam,Problem Oriented Physical,1
Chronic,Chronic Maintenance Visit: Anxiety,Counseling,Visit wrap-up/care planning,1
Chronic,Chronic Maintenance Visit: Anxiety,Lab,Orders,1
Chronic,Chronic Maintenance Visit: Anxiety,Lab,Results Consultation,1
Chronic,Chronic Maintenance Visit: Anxiety,Measurements,BP,1
Chronic,Chronic Maintenance Visit: Anxiety,Measurements,Temp,1
Chronic,Chronic Maintenance Visit: Anxiety,Measurements,Weight,1
Chronic,Chronic Maintenance Visit: Anxiety,Patient History,Data Collection,1
Chronic,Chronic Maintenance Visit: Anxiety,Patient History,Interval history/Consultation,1
Chronic,Chronic Maintenance Visit: Anxiety,Pharmacological Treatment/Mgmt,Condition Consultation,1
Chronic,Chronic Maintenance Visit: Anxiety,Pharmacological Treatment/Mgmt,Orders/scripts,1
Chronic,Chronic Maintenance Visit: Anxiety,Physical Exam,Problem Oriented Physical,1
Chronic,Chronic Maintenance Visit: Anxiety,Counseling,CBT,1
Chronic,Chronic Maintenance Visit: Arthritis,Counseling,Visit wrap-up/care planning,1
Chronic,Chronic Maintenance Visit: Arthritis,Lab,Orders,1
Chronic,Chronic Maintenance Visit: Arthritis,Lab,Results Consultation,1
Chronic,Chronic Maintenance Visit: Arthritis,Measurements,BP,1
Chronic,Chronic Maintenance Visit: Arthritis,Measurements,Temp,1
Chronic,Chronic Maintenance Visit: Arthritis,Measurements,Weight,1
Chronic,Chronic Maintenance Visit: Arthritis,Patient History,Data Collection,1
Chronic,Chronic Maintenance Visit: Arthritis,Patient History,Interval history/Consultation,1
Chronic,Chronic Maintenance Visit: Arthritis,Pharmacological Treatment/Mgmt,Condition Consultation,1
Chronic,Chronic Maintenance Visit: Arthritis,Pharmacological Treatment/Mgmt,Orders/scripts,1
Chronic,Chronic Maintenance Visit: Arthritis,Physical Exam,Problem Oriented Physical,1
Chronic,Chronic Maintenance Visit: Arthritis,Education,Dietary/Physical Activity Guidance,1
Chronic,Chronic Maintenance Visit: Asthma,Lab,Orders,1
Chronic,Chronic Maintenance Visit: Asthma,Lab,Results Consultation,1
Chronic,Chronic Maintenance Visit: Asthma,Measurements,BP,1
Chronic,Chronic Maintenance Visit: Asthma,Measurements,Temp,1
Chronic,Chronic Maintenance Visit: Asthma,Measurements,Weight,1
Chronic,Chronic Maintenance Visit: Asthma,Patient History,Data Collection,1
Chronic,Chronic Maintenance Visit: Asthma,Patient History,Interval history/Consultation,1
Chronic,Chronic Maintenance Visit: Asthma,Pharmacological Treatment/Mgmt,Condition Consultation,1
Chronic,Chronic Maintenance Visit: Asthma,Pharmacological Treatment/Mgmt,Orders/scripts,1
Chronic,Chronic Maintenance Visit: Asthma,Physical Exam,Problem Oriented Physical,1
Chronic,Chronic Maintenance Visit: Asthma,Education,Asthma action plan,1
Chronic,Chronic Maintenance Visit: Asthma,Education,Inhaler use Guidance,1
Chronic,Chronic Maintenance Visit: CAD,Lab,Orders,1
Chronic,Chronic Maintenance Visit: CAD,Lab,Results Consultation,1
Chronic,Chronic Maintenance Visit: CAD,Measurements,BP,1
Chronic,Chronic Maintenance Visit: CAD,Measurements,Temp,1
Chronic,Chronic Maintenance Visit: CAD,Measurements,Weight,1
Chronic,Chronic Maintenance Visit: CAD,Patient History,Data Collection,1
Chronic,Chronic Maintenance Visit: CAD,Patient History,Interval history/Consultation,1
Chronic,Chronic Maintenance Visit: CAD,Pharmacological Treatment/Mgmt,Condition Consultation,1
Chronic,Chronic Maintenance Visit: CAD,Pharmacological Treatment/Mgmt,Orders/scripts,1
Chronic,Chronic Maintenance Visit: CAD,Physical Exam,Problem Oriented Physical,1
Chronic,Chronic Maintenance Visit: CAD,Education,Dietary/Physical Activity Guidance,1
Chronic,Chronic Maintenance Visit: COPD,Lab,Orders,1
Chronic,Chronic Maintenance Visit: COPD,Lab,Results Consultation,1
Chronic,Chronic Maintenance Visit: COPD,Measurements,BP,1
Chronic,Chronic Maintenance Visit: COPD,Measurements,Temp,1
Chronic,Chronic Maintenance Visit: COPD,Measurements,Weight,1
Chronic,Chronic Maintenance Visit: COPD,Patient History,Data Collection,1
Chronic,Chronic Maintenance Visit: COPD,Patient History,Interval history/Consultation,1
Chronic,Chronic Maintenance Visit: COPD,Pharmacological Treatment/Mgmt,Condition Consultation,1
Chronic,Chronic Maintenance Visit: COPD,Pharmacological Treatment/Mgmt,Orders/scripts,1
Chronic,Chronic Maintenance Visit: COPD,Physical Exam,Problem Oriented Physical,1
Chronic,Chronic Maintenance Visit: COPD,Education,Exercise & COPD Management,1
Chronic,Chronic Maintenance Visit: Diabetes,Lab,Orders,1
Chronic,Chronic Maintenance Visit: Diabetes,Lab,Results Consultation,1
Chronic,Chronic Maintenance Visit: Diabetes,Measurements,BP,1
Chronic,Chronic Maintenance Visit: Diabetes,Measurements,Temp,1
Chronic,Chronic Maintenance Visit: Diabetes,Measurements,Weight,1
Chronic,Chronic Maintenance Visit: Diabetes,Patient History,Data Collection,1
Chronic,Chronic Maintenance Visit: Diabetes,Patient History,Interval history/Consultation,1
Chronic,Chronic Maintenance Visit: Diabetes,Pharmacological Treatment/Mgmt,Condition Consultation,1
Chronic,Chronic Maintenance Visit: Diabetes,Pharmacological Treatment/Mgmt,Orders/scripts,1
Chronic,Chronic Maintenance Visit: Diabetes,Physical Exam,Problem Oriented Physical,1
Chronic,Chronic Maintenance Visit: Diabetes,Education,Control: Weight; Hypertension; Hyperlipidemia; Smoking,1
Chronic,Chronic Maintenance Visit: Diabetes,Education,Diabetes Self Management Education/Support,1
Chronic,Chronic Maintenance Visit: Diabetes,Education,Medical Nutrition Therapy (MNT),1
Chronic,Chronic Maintenance Visit: Diabetes,Lab,Results Consultation: CHD Risk Assessment; A1c; Microalbuminuria,1
Chronic,Chronic Maintenance Visit: Diabetes,Physical Exam,Foot Exam,1
Chronic,Chronic Maintenance Visit: Hyperlipidemia,Lab,Orders,1
Chronic,Chronic Maintenance Visit: Hyperlipidemia,Lab,Results Consultation,1
Chronic,Chronic Maintenance Visit: Hyperlipidemia,Measurements,BP,1
Chronic,Chronic Maintenance Visit: Hyperlipidemia,Measurements,Temp,1
Chronic,Chronic Maintenance Visit: Hyperlipidemia,Measurements,Weight,1
Chronic,Chronic Maintenance Visit: Hyperlipidemia,Patient History,Data Collection,1
Chronic,Chronic Maintenance Visit: Hyperlipidemia,Patient History,Interval history/Consultation,1
Chronic,Chronic Maintenance Visit: Hyperlipidemia,Pharmacological Treatment/Mgmt,Condition Consultation,1
Chronic,Chronic Maintenance Visit: Hyperlipidemia,Pharmacological Treatment/Mgmt,Orders/scripts,1
Chronic,Chronic Maintenance Visit: Hyperlipidemia,Physical Exam,Problem Oriented Physical,1
Chronic,Chronic Maintenance Visit: Hyperlipidemia,Education,Dietary/Physical Activity Guidance,1
Chronic,Chronic Maintenance Visit: Hypertension,Lab,Orders,1
Chronic,Chronic Maintenance Visit: Hypertension,Lab,Results Consultation,1
Chronic,Chronic Maintenance Visit: Hypertension,Measurements,BP,1
Chronic,Chronic Maintenance Visit: Hypertension,Measurements,Temp,1
Chronic,Chronic Maintenance Visit: Hypertension,Measurements,Weight,1
Chronic,Chronic Maintenance Visit: Hypertension,Patient History,Data Collection,1
Chronic,Chronic Maintenance Visit: Hypertension,Patient History,Interval history/Consultation,1
Chronic,Chronic Maintenance Visit: Hypertension,Pharmacological Treatment/Mgmt,Condition Consultation,1
Chronic,Chronic Maintenance Visit: Hypertension,Pharmacological Treatment/Mgmt,Orders/scripts,1
Chronic,Chronic Maintenance Visit: Hypertension,Physical Exam,Problem Oriented Physical,1
Chronic,Chronic Maintenance Visit: Hypertension,Education,Dietary/Physical Activity Guidance,1
Chronic,Chronic Maintenance Visit: Depression,Lab,Orders,1
Chronic,Chronic Maintenance Visit: Depression,Lab,Results Consultation,1
Chronic,Chronic Maintenance Visit: Depression,Measurements,BP,1
Chronic,Chronic Maintenance Visit: Depression,Measurements,Temp,1
Chronic,Chronic Maintenance Visit: Depression,Measurements,Weight,1
Chronic,Chronic Maintenance Visit: Depression,Patient History,Data Collection,1
Chronic,Chronic Maintenance Visit: Depression,Patient History,Interval history/Consultation,1
Chronic,Chronic Maintenance Visit: Depression,Pharmacological Treatment/Mgmt,Condition Consultation,1
Chronic,Chronic Maintenance Visit: Depression,Pharmacological Treatment/Mgmt,Orders/scripts,1
Chronic,Chronic Maintenance Visit: Depression,Physical Exam,Problem Oriented Physical,1
Chronic,Chronic Maintenance Visit: Depression,Counseling,Psychotherapy,1
Chronic,Chronic Maintenance Visit: Osteoporosis,Lab,Orders,1
Chronic,Chronic Maintenance Visit: Osteoporosis,Lab,Results Consultation,1
Chronic,Chronic Maintenance Visit: Osteoporosis,Measurements,BP,1
Chronic,Chronic Maintenance Visit: Osteoporosis,Measurements,Temp,1
Chronic,Chronic Maintenance Visit: Osteoporosis,Measurements,Weight,1
Chronic,Chronic Maintenance Visit: Osteoporosis,Patient History,Data Collection,1
Chronic,Chronic Maintenance Visit: Osteoporosis,Patient History,Interval history/Consultation,1
Chronic,Chronic Maintenance Visit: Osteoporosis,Pharmacological Treatment/Mgmt,Condition Consultation,1
Chronic,Chronic Maintenance Visit: Osteoporosis,Pharmacological Treatment/Mgmt,Orders/scripts,1
Chronic,Chronic Maintenance Visit: Osteoporosis,Physical Exam,Problem Oriented Physical,1
Chronic,Chronic Maintenance Visit: Osteoporosis,Education,Dietary/Physical Activity Guidance,1
<<end>>,,,,

Column In Labeled Data,Available in un-labeled data?,Source,Notes
zip,yes,openpv,a zipcode is an instance in our data; it is also one of three keys we use for integration with other tables
install_type,no,openpv,"rolled the 17 or so values in this into three: residential, commercial, industrial (to line up with rate tables)"
Year Installed,no,openpv,"the first year of install allowed in this data is 2016, but we have data that goes much farther back"
size_kw,no,openpv,
cost_per_watt,no,openpv,this is the target variable
cost,no,openpv,
lbnl_tts_version_year,no,openpv,
annual_PV_prod,no,openpv,"I have a feeling these will be highly determinative of cost, but they're not available in non-labeled data"
annual_insolation,no,openpv,
sales_tax_cost,no,openpv,
tilt1,no,openpv,
azimuth1,no,openpv,
reported_annual_energy_prod,no,openpv,
index,no,openpv,
PO_NAME,yes,Census,These columns are used to cross-walk zipcodes to other geographic areas to integrate other datasets
STATE,yes,Census,These columns are used to cross-walk zipcodes to other geographic areas to integrate other datasets
ZIP_TYPE,yes,Census,These columns are used to cross-walk zipcodes to other geographic areas to integrate other datasets
ZCTA,yes,Census,"This is how the census bureau accounts for shifts in small zip codes, merging them into larger ones (reduces total count from ~40k to ~33k)"
Zip_join_type,yes,Census,How the zipcode-ZCTA crosswalk was done; this distinction will be meaningful for some variables
population,yes,Census,
landsqmi,yes,Census,
popdensity,yes,Census,
eiaid,yes,OpenEI Utility Rates,
utility_name,yes,OpenEI Utility Rates,
service_type,yes,OpenEI Utility Rates,
ownership,yes,OpenEI Utility Rates,
comm_rate,yes,OpenEI Utility Rates,
ind_rate,yes,OpenEI Utility Rates,
res_rate,yes,OpenEI Utility Rates,
eiaid_iou,yes,OpenEI Utility Rates,
utility_name_iou,yes,OpenEI Utility Rates,
state_iou,yes,OpenEI Utility Rates,
service_type_iou,yes,OpenEI Utility Rates,
ownership_iou,yes,OpenEI Utility Rates,
comm_rate_iou,yes,OpenEI Utility Rates,
ind_rate_iou,yes,OpenEI Utility Rates,
res_rate_iou,yes,OpenEI Utility Rates,
no_financial_incentive_prog,yes,DSIRE,number of financial incentive programs for renewable energy per state
no_rules_reg_pol_incentive,yes,DSIRE,number of rules/regs incentive programs for renewable energy per state
ZCTA_5,yes,Housing Survey,
Geography,yes,Economic Survey,
mean_income,yes,Economic Survey,
earning_hhs,yes,Economic Survey,
mean_income_earning_hhs,yes,Economic Survey,
percent_int_div_rent,yes,Economic Survey,"I have a theory that the more people who have capital gains income in a zipcode, the greater the adoption"
earn_int_div_rent,yes,Economic Survey,"I have a theory that the more people who have capital gains income in a zipcode, the greater the adoption"
Geographic identifier code,yes,American Community Survey,
Number of establishments,yes,American Community Survey,We could use this to measure adoption for commercial solar
Paid employees for pay period including March 12 (number),yes,American Community Survey,
"First-quarter payroll ($1,000)",yes,Housing Survey,
"Annual payroll ($1,000)",yes,Housing Survey,
total_household,yes,Housing Survey,We could divide this by the number of installs per zip to measure adoption for residential solar
avg_hh_size,yes,Housing Survey,
percet_1unit,yes,Housing Survey,
no_plants,yes,EIA,number of PV generators in a zipcode
total_capacity,yes,EIA,generating capacity of all PV generators in that zipcode
op_months,yes,EIA,age in months of operating PV generators in a zipcode


Name,Uniform Type Identifier,Assigned Number,Specification
Generic Access,org.bluetooth.service.generic_access,0x1800,GSS
Alert Notification Service,org.bluetooth.service.alert_notification,0x1811,GSS
Automation IO, org.bluetooth.service.automation_io, 0x1815,GSS
Battery Service, org.bluetooth.service.battery_service, 0x180F,GSS
Blood Pressure,org.bluetooth.service.blood_pressure,0x1810,GSS
Body Composition,org.bluetooth.service.body_composition,0x181B,GSS
Bond Management Service, org.bluetooth.service.bond_management, 0x181E,GSS
Continuous Glucose Monitoring, org.bluetooth.service.continuous_glucose_monitoring, 0x181F,GSS
Current Time Service,org.bluetooth.service.current_time,0x1805,GSS
Cycling Power, org.bluetooth.service.cycling_power, 0x1818,GSS
Cycling Speed and Cadence, org.bluetooth.service.cycling_speed_and_cadence, 0x1816,GSS
Device Information,org.bluetooth.service.device_information,0x180A,GSS
Environmental Sensing, org.bluetooth.service.environmental_sensing, 0x181A,GSS
Fitness Machine, org.bluetooth.service.fitness_machine, 0x1826,GSS
Generic Attribute, org.bluetooth.service.generic_attribute, 0x1801,GSS
Glucose, org.bluetooth.service.glucose, 0x1808,GSS
Health Thermometer,org.bluetooth.service.health_thermometer,0x1809,GSS
Heart Rate,org.bluetooth.service.heart_rate,0x180D,GSS
HTTP Proxy,org.bluetooth.service.http_proxy,0x1823,GSS
Human Interface Device,org.bluetooth.service.human_interface_device,0x1812,GSS
Immediate Alert, org.bluetooth.service.immediate_alert, 0x1802,GSS
Indoor Positioning,org.bluetooth.service.indoor_positioning,0x1821,GSS
Internet Protocol Support Service, org.bluetooth.service.internet_protocol_support, 0x1820,GSS
Link Loss, org.bluetooth.service.link_loss, 0x1803,GSS
Location and Navigation, org.bluetooth.service.location_and_navigation, 0x1819,GSS
Mesh Provisioning Service, org.bluetooth.service.mesh_provisioning, 0x1827,GSS
Mesh Proxy Service,org.bluetooth.service.mesh_proxy,0x1828,GSS
Next DST Change Service, org.bluetooth.service.next_dst_change, 0x1807,GSS
Object Transfer Service, org.bluetooth.service.object_transfer, 0x1825,GSS
Phone Alert Status Service,org.bluetooth.service.phone_alert_status,0x180E,GSS
Pulse Oximeter Service,org.bluetooth.service.pulse_oximeter,0x1822,GSS
Reconnection Configuration,org.bluetooth.service.reconnection_configuration,0x1829,GSS
Reference Time Update Service, org.bluetooth.service.reference_time_update, 0x1806,GSS
Running Speed and Cadence, org.bluetooth.service.running_speed_and_cadence, 0x1814,GSS
Scan Parameters, org.bluetooth.service.scan_parameters, 0x1813,GSS
Transport Discovery, org.bluetooth.service.transport_discovery, 0x1824,GSS
Tx Power,org.bluetooth.service.tx_power,0x1804,GSS
User Data, org.bluetooth.service.user_data, 0x181C,GSS
Weight Scale,org.bluetooth.service.weight_scale,0x181D,GSS

index,glazing,natural_ventilation,shading_devices,daylighting,building_geometry,material_properties,passive_design_strategies,building_orientation,building_form,air-to-water,air-to-air,heat_recovery,heat_transfer,surface,zone,heat_balance,energy_balance,cooling_load,heating_load,energy_storage,building_envelope,thermal_mass,post-occupancy_evaluation,calibrated_simulation,ecm,baseline_models,calibrated_model,performance_measurement_and_verification,coefficient_of_variation,ashrae_guideline_14,time-of-use,electricity_pricing,cost_analysis,energy_price,cost_savings,smart_meters,meter_readings,real-time,control_algorithms,load_profile,historical_data,time-step,weather_data,site,eui,energy_consumption,occupant_behavior,internal_heat_gains,lights,household_appliances,schedule,equipment,ahu,variable_air_volume,constant_air_volume,damper,static_pressure,differential_pressure,noise_level,fan_power,fan_speed,condensing_temperature,compressor_power,condenser_fan_power,mass_flow_rate,inlet_temperature,outlet_temperature,hot_water,set_point,water_temperature,cop,chilled_water,chiller,clothing_insulation,air_speed,mean_radiant_temperature,thermal_comfort,thermal_sensation,thermal_comfort_index,pmv,ppd,heating_degree_days,cooling_degree_days,outdoor_air_temperature,outdoor_temperature,indoor_air_temperature,operative_temperature,wind_direction,wind_speed,carbon_dioxide,dew_point,relative_humidity,dry_bulb_temperature
energy_simulation,0.24412761628627774,0.1965302377939224,0.2380731403827667,0.3798846006393433,0.4998288154602051,0.34575557708740234,0.21058215200901031,0.2565562129020691,0.3680428266525269,,0.14654697477817535,0.19723182916641235,0.258929044008255,0.1541920006275177,0.30327555537223816,0.3457697629928589,0.2352637052536011,0.3233488202095032,0.29777729511260986,0.16962233185768127,0.41284817457199097,0.22155632078647614,0.2601374089717865,0.213143453001976,0.32204461097717285,0.1953611969947815,0.3576675355434418,0.2326931357383728,0.22533933818340304,0.2458266615867615,0.07871368527412415,0.2465308755636215,0.2956268787384033,0.1079113706946373,0.15646424889564514,0.0689607784152031,0.06535466015338898,0.2623421549797058,0.245760440826416,0.19725722074508667,0.2216484546661377,0.2437329888343811,0.4858705401420593,0.1743587851524353,0.16084468364715576,0.461572527885437,0.4177409410476685,0.27638229727745056,0.21332529187202454,0.075079545378685,0.3393629491329193,0.19250908493995667,0.18592026829719546,0.2267442941665649,0.12036986649036407,0.09037773311138153,0.10063733160495758,,,0.1114475429058075,0.05800607055425644,0.07654553651809692,0.0727975070476532,,0.10531605780124664,,0.05333319678902626,0.0925738662481308,0.17637118697166446,,0.19640091061592105,0.12223772704601288,0.1686885952949524,0.13170437514781952,0.19832003116607666,0.19574511051177976,0.3330463469028473,0.2119564116001129,0.2382339835166931,0.2328426241874695,0.21348819136619568,0.17817533016204834,0.12271565943956375,0.17135894298553467,0.13346995413303375,0.21310032904148105,0.17689937353134155,0.1735798418521881,0.1829356551170349,0.1385907530784607,0.12503448128700256,0.19651365280151367,0.19563861191272736
optimization,0.2292751371860504,0.2518010437488556,0.3022706210613251,0.3300190567970276,0.3148539066314697,0.247920960187912,0.2114676833152771,0.34113264083862305,0.3665344417095184,0.0808301642537117,0.1079833060503006,0.31368863582611084,0.3358079791069031,0.24476446211338046,0.2742287516593933,0.21129614114761355,0.31438833475112915,0.2669607400894165,0.2218419909477234,0.3342294692993164,0.4592356085777282,0.2324043959379196,0.07805053889751434,0.0668845996260643,0.2281457781791687,,0.205033615231514,,0.09888119250535964,0.09651851654052734,0.215427041053772,0.16493922472000122,0.24616694450378415,0.2773951888084412,0.3244054913520813,0.1993795931339264,0.0689750611782074,0.411501944065094,0.38455379009246826,0.2953183948993683,0.266394317150116,0.2342595607042313,0.18766328692436215,0.3396161496639252,0.19244730472564694,0.41052630543708796,0.2818670868873596,0.22153392434120175,0.2379682809114456,0.17468379437923431,0.4040770530700684,0.34637358784675604,0.2874240875244141,0.20718736946582794,0.0974910333752632,0.27401381731033325,0.22403767704963684,0.10188676416873932,0.11310476809740068,0.15485548973083496,0.2424474507570267,0.16929036378860474,0.11125538498163223,0.060213826596736915,0.25105440616607666,0.18266761302948,0.1910165101289749,0.22387486696243286,0.3516491651535034,0.2574519515037537,0.3113382458686829,0.27781063318252563,0.3403216004371643,,0.22764426469802854,0.06681065261363983,0.4526652097702026,0.09930912405252457,0.07398444414138794,0.15382800996303558,0.14449545741081238,,,0.16804134845733645,0.20825764536857605,0.3129030764102936,0.13100409507751465,0.1680927723646164,0.21147920191287994,0.20066575706005094,0.15477913618087769,0.21593190729618075,0.10701458156108856
multi-objective_optimization,0.1457468867301941,0.12991583347320554,0.13492245972156525,0.1828901469707489,0.16396301984786987,0.09356296062469482,0.2147088050842285,0.15776440501213074,0.2590556740760803,0.163901686668396,0.19019940495491028,0.2611888945102692,0.1146080195903778,,0.11757910251617433,0.1936594843864441,0.2347865700721741,0.13483083248138428,0.12725085020065308,0.15678749978542328,0.29519253969192505,0.08702694624662399,0.0942106395959854,0.07840827107429504,0.20038318634033206,,0.16953657567501068,,0.11193694174289703,0.08286029100418091,0.09016858041286467,0.08510403335094452,0.24816274642944336,0.14381204545497894,0.2605384886264801,,,0.18950062990188601,0.249995231628418,0.1945664584636688,0.08889371901750565,0.11968496441841125,0.08106329292058945,0.1539362072944641,0.0970657616853714,0.1986914873123169,0.2183101773262024,0.07688925415277481,,0.12481166422367095,0.21354104578495026,0.08881667256355286,0.17706558108329773,0.14360865950584412,,0.10807624459266664,0.07127255201339723,,,0.053208105266094215,0.08645361661911011,0.05456622689962387,0.055050496011972434,0.12136340141296388,0.10076484084129332,0.08283716440200806,0.05561796203255653,0.06441207975149155,0.1822909712791443,0.0719238668680191,0.2302833795547485,0.14718888700008392,0.1647903472185135,0.08244574815034866,0.07895657420158386,0.08341313153505325,0.35598570108413696,0.130889892578125,0.15138041973114014,0.2258029580116272,0.21769854426383967,,,0.05159018188714981,0.05225105583667755,0.1134749948978424,0.08251569420099257,,,0.1025039330124855,0.20592808723449707,0.09094463288784027,0.07552778720855713
data_collection,,,0.09125279635190964,0.15695738792419436,0.13193537294864655,0.158399760723114,,0.1353345662355423,0.10576023161411284,,,0.08602076768875122,0.1258419156074524,0.12701506912708282,0.20944537222385406,0.11538010090589525,0.1029280349612236,0.08052961528301239,0.05475936084985733,0.12868556380271912,0.18379032611846924,,0.2735447883605957,0.08708919584751129,0.14842240512371066,0.08336734771728516,0.14088526368141174,0.1328985095024109,,0.10475685447454453,0.06613371521234512,0.18690204620361328,0.15100520849227905,0.06277864426374435,0.08300774544477463,0.3633782267570496,0.33566057682037354,0.4021481275558472,0.2301138639450073,0.1883980333805084,0.35969942808151245,0.1607009619474411,0.26850616931915283,0.4053178429603577,0.11585403233766554,0.4198564887046814,0.2676273882389069,0.15970586240291595,0.20822446048259732,0.10636884719133376,0.29857760667800903,0.3761383593082428,0.16903339326381686,,,0.06812341511249542,0.0683709979057312,0.09278783202171326,0.08105884492397307,0.05005660280585289,0.10644160956144333,,,,0.06774349510669707,,,0.1167745590209961,0.1466650366783142,0.10606059432029724,0.10901950299739838,,0.13180987536907196,0.13574692606925964,0.17444370687007904,0.08732661604881288,0.2939401268959045,0.2036459594964981,,0.07418353110551834,,,,0.17096146941184998,0.18372249603271484,0.2626982629299164,0.10210303962230682,0.14725132286548615,0.20951485633850095,0.11427149176597595,,0.2511225640773773,0.10461384803056717
measurement,0.2095324695110321,0.07416512817144394,0.12754285335540771,0.2548377513885498,0.07699346542358397,0.3091227114200592,,0.1810903251171112,,,,0.20027786493301392,0.3399813175201416,0.3853158950805664,0.2592338025569916,0.195377379655838,0.18631333112716675,0.14858771860599518,0.15917150676250458,0.17463986575603485,0.26364958286285395,0.11241881549358368,0.10919557511806488,0.11435496807098387,0.09255801141262054,,0.12091848254203795,0.08008760213851929,0.16335821151733398,0.16856646537780762,,,0.05604775995016098,0.07465188205242157,,0.2669892907142639,0.24721288681030276,0.4088001251220703,0.14841324090957642,0.12741990387439728,0.2420297861099243,0.15917932987213135,0.2530398666858673,0.4259262979030609,0.06852351874113083,0.28658705949783325,0.14814382791519165,0.19254666566848755,0.222222164273262,,0.19166351854801175,0.3786707520484924,0.21158581972122192,0.0994524210691452,,0.2397739589214325,0.25569745898246765,0.29618263244628906,0.2806651294231415,0.11251861602067947,0.2011699676513672,,0.05863798037171364,,0.3044447898864746,0.18616072833538053,0.2301168888807297,0.1968696117401123,0.2568018436431885,0.2618618309497833,0.22193683683872226,0.11012815684080124,0.1722082495689392,0.13019412755966187,0.4230313003063202,0.24471820890903476,0.29950475692749023,0.22723400592803955,0.07812834531068802,0.184076726436615,0.1231488585472107,,,0.2776334881782532,0.19679021835327148,0.4932356476783752,0.2448779940605164,0.27442994713783264,0.33488649129867554,0.32055118680000305,0.247159406542778,0.4544550180435181,0.2580534517765045
neural_networks,0.05078304186463356,0.10536053776741028,0.11568760871887207,0.16098245978355408,,0.07637021690607071,,0.05170857533812523,,,,0.07998652756214142,0.0758000835776329,0.08292558789253235,0.07656397670507431,0.09193744510412216,,0.1187419667840004,0.07806526124477386,0.14895299077033994,0.08245964348316193,,0.10592931509017944,,0.13679063320159912,0.07341127842664719,0.10681189596652983,,,0.0639195516705513,,,0.07845975458621979,0.08139006793498993,0.14104226231575012,0.1348813772201538,0.16255724430084229,0.2635778784751892,0.27714985609054565,0.12285056710243225,0.3785243034362793,0.16203366219997406,0.1205609291791916,0.09017490595579147,0.08844105154275894,0.26216864585876465,0.21979427337646484,0.08204960823059082,0.08687709271907806,0.06851507723331451,0.2121495604515076,0.1448550671339035,0.2481892704963684,0.16956612467765808,0.09189146757125853,0.0993773564696312,,,,,,,,,,,,0.05327996611595154,0.13274569809436798,0.1272735744714737,0.14710575342178345,0.09488411992788316,0.16109424829483032,0.07117748260498047,,0.08377516269683838,0.22532975673675534,0.15341947972774506,0.09059448540210724,0.20924870669841766,0.1319177746772766,,,0.07285606116056442,0.14326250553131106,0.16511589288711548,0.06860429793596268,,0.11539276689291,0.13929474353790286,0.0907476544380188,0.17014092206954956,0.1032840758562088
reinforcement_learning,0.10379808396100998,0.12531407177448273,0.08801858127117157,0.09287196397781372,0.09704433381557463,,,0.051272455602884286,,0.07359971106052399,0.08150694519281387,,0.10113300383090973,0.06435145437717438,0.08555670827627182,0.055974788963794715,,0.10295119136571884,,0.12214404344558714,0.0964142456650734,0.07012136280536653,0.0772688090801239,0.11075445264577866,,,0.1170593798160553,0.08246354758739471,0.10875745117664336,0.06636753678321837,0.11043080687522888,0.08188499510288239,,0.13289900124073029,0.11521141231060028,0.13003212213516235,0.050053827464580536,0.17656424641609192,0.21879014372825625,0.0875791609287262,0.20940852165222168,0.12863239645957947,0.05715576559305191,,0.05424579232931137,0.15433524549007416,0.1659696400165558,0.062124185264110565,0.08196161687374115,0.05839265882968904,0.137550950050354,0.1219722330570221,0.17823216319084167,0.1897700130939484,0.09531918168067932,0.11093804240226746,0.1448591947555542,,0.13318388164043427,,0.16299942135810852,,,,,,0.05249785631895065,0.06544452160596848,0.1458580195903778,0.10507228970527648,0.13720209896564484,0.07980605959892273,0.0735192745923996,0.12887541949748993,0.07072585076093674,0.09658397734165193,0.22448676824569705,0.13058805465698242,0.12293381243944168,0.12882928550243378,0.12800928950309753,,,0.06839072704315187,0.12725010514259338,0.1786373108625412,0.11447454988956453,0.07172137498855591,0.07139983773231506,0.07258579879999161,0.10738864541053772,0.12442419677972795,0.0906151831150055
validation,0.1624297946691513,0.2031829059123993,0.1663413643836975,0.2509589493274689,0.17651551961898804,0.27447310090064997,0.10366670787334442,0.1365782916545868,0.08439503610134125,0.06982284039258957,0.13123726844787598,0.21059124171733856,0.3230193853378296,0.25728201866149897,0.3239016532897949,0.2301822006702423,0.2785197496414185,0.2355615198612213,0.18707814812660215,0.15799440443515778,0.2599160671234131,0.11460589617490767,0.13771234452724454,0.1245105192065239,0.18738922476768494,0.14529338479042053,0.36614644527435297,0.11665435880422592,0.27553266286849976,0.25327157974243164,,0.14331844449043274,0.19615700840950007,,0.09076274186372756,0.18181359767913816,0.16213570535182953,0.35916659235954285,0.31559568643569946,0.1799802929162979,0.3187064528465271,0.2593676447868347,0.2819585204124451,0.3071066439151764,0.1651703417301178,0.3719388246536255,0.2132354974746704,0.2184303402900696,0.149383544921875,,0.2976756691932678,0.2565598785877228,0.2638171315193176,0.1462707370519638,0.050926867872476585,0.265897274017334,0.15208905935287476,0.12318195402622226,0.09996381402015686,0.15319645404815674,0.18571612238883967,0.10894361138343812,0.1220378875732422,,0.23961809277534485,0.1642214208841324,0.24658238887786865,0.17629145085811615,0.2349569946527481,0.2000374495983124,0.24160000681877136,0.12868067622184753,0.2196846902370453,0.090139701962471,0.29118704795837397,0.12521901726722715,0.33493101596832275,0.21808475255966187,0.057517599314451225,0.15821024775505066,0.0943126529455185,,,0.2311191260814667,0.2139376401901245,0.3962191939353943,0.1576698124408722,0.1530912220478058,0.22085388004779816,0.10291364789009094,0.13469241559505465,0.25810399651527405,0.14169059693813324
feature_extraction,0.07182890921831131,,0.050117913633584976,0.06299147754907608,0.1403065025806427,0.10625532269477844,0.09866905212402344,0.12964695692062378,0.12947100400924685,,0.06482917070388794,0.11420144140720367,0.08690741658210754,0.0833621695637703,0.07310845702886581,0.0899968147277832,,0.05570320412516594,,,0.13620880246162415,,0.11345519125461577,0.146394282579422,0.16510593891143802,0.05649151653051376,0.20766377449035645,0.06897079199552536,0.10319376736879347,0.12345752120018005,,0.08146581798791885,0.08336939662694931,,,0.10131385177373886,0.2277018129825592,0.22199371457099915,0.16226933896541595,0.1933482587337494,0.286382257938385,0.10259979218244553,0.1291639655828476,0.08369655907154082,0.14348123967647552,0.1945740133523941,0.11178275942802428,0.10488836467266084,0.05306849628686905,0.1111590564250946,0.1724431812763214,0.14915217459201813,0.19684691727161407,0.09688150882720947,0.10512255877256392,,,0.07872439920902252,0.08874307572841644,,,0.12252218276262285,0.05259692668914795,,,,,,0.10105792433023453,,0.07002468407154082,,0.16474805772304535,0.056592393666505814,,,0.11254054307937622,0.08938734233379364,,,,,,0.10506370663642883,0.07782813906669618,0.09765134006738664,,,,,,0.05652022734284401,0.10668620467185974
anomaly_detection,,,,,,,,,,,0.08085599541664124,,,,,,0.06869608908891678,,,0.06581077724695206,,,0.07344105839729309,0.1513042151927948,,0.1535698175430298,0.2025991529226303,0.08767249435186386,0.09312066435813904,0.17915144562721252,,0.08905384689569472,0.06092280149459839,,0.06618732959032059,0.23936864733695984,0.29291778802871704,0.3088893294334412,0.07888761162757874,0.20075425505638125,0.32400959730148315,,,,0.06875645369291307,0.2551814615726471,0.13628163933753967,,,0.1948738992214203,0.15712039172649386,0.13698318600654602,0.15227918326854706,0.0927313268184662,,,0.060291837900877,,0.09130126982927322,0.050511009991168976,,0.05252635106444359,,,0.052576445043087006,,,,,0.0729108452796936,0.08393725752830505,,0.10373620688915253,,,,0.07981378585100174,0.08631297200918198,,,,0.10926896333694458,0.06871791929006578,0.05492191761732101,,,,0.08055725693702698,0.0576387420296669,,0.06813999265432358,,
clustering,0.05972732603549957,0.05810931324958801,0.10358960926532744,0.14553207159042358,0.09101903438568117,0.08487888425588608,,0.17035135626792908,0.17150083184242249,0.054535619914531715,,,0.12809428572654724,0.27469402551651,0.2608337998390198,0.10158798098564148,0.0967353656888008,0.13154128193855286,0.1060500144958496,0.10057301074266434,0.11933135986328125,0.09488584101200104,0.056399691849946976,,0.1209939494729042,0.051029808819293976,0.1312483251094818,,0.1164233610033989,,0.0817345380783081,0.11517389118671414,0.06887918710708618,0.1479421705007553,0.06642154604196547,0.2064398229122162,0.2820188999176025,0.21130546927452087,0.1395559012889862,0.34076303243637085,0.366743266582489,0.10594917833805084,0.16856171190738678,0.2379806041717529,0.1847153902053833,0.3168923258781433,0.2076702117919922,0.10323470830917357,0.16104820370674133,0.0865379124879837,0.3219174742698669,0.231400802731514,0.1387297362089157,0.07375049591064453,,0.08581743389368057,,,0.050889868289232254,0.05320362001657486,0.05651872605085372,0.16283534467220304,0.07925114780664444,,0.08889739215373993,,0.0589718259871006,0.12333539873361588,0.17548158764839172,0.07980874180793762,0.13392314314842224,0.06980368494987488,0.1847711205482483,,0.07329866290092467,,0.21856030821800232,0.13722053170204165,,0.05299295112490654,,0.14990222454071045,0.09319298714399338,0.08540472388267517,0.2547474801540375,0.1657363474369049,0.08220472931861877,0.09427765011787416,0.13515539467334747,0.07264183461666107,,0.1367400586605072,
dimensionality_reduction,,0.06874381750822067,,0.07914220541715622,0.0904533639550209,,0.11656395345926285,0.06891807913780212,0.11580953001976013,,0.0643896609544754,0.06279633194208145,,,,,,,0.05904445797204971,,,,0.08207813650369644,0.06967213749885559,,0.11871941387653352,0.07922437787055969,0.05257369950413704,,0.05897423997521401,0.07509313523769379,0.1479061394929886,0.10116103291511536,,0.07477450370788574,,0.15113726258277893,0.10028353333473206,0.07728955149650574,0.16936621069908142,0.2480186074972153,,0.051946230232715614,,,0.1814461648464203,0.07848536968231201,,,0.06592140346765518,0.07589750736951828,,0.12277240306138992,0.1339329183101654,0.06360774487257004,,,,0.1155339926481247,0.053609445691108704,,0.08746108412742615,0.106439046561718,,,,,,,,,,0.07619530707597733,,,,0.11990589648485185,,0.06266722083091736,0.05073010921478272,0.07177086174488068,,,,,,,,,,,,
segmentation,,,0.08822228014469148,0.07399213314056396,0.12534984946250916,0.10225872695446014,,0.12970077991485596,0.09651906788349153,0.1039540097117424,,,0.07601957768201828,0.2153996378183365,0.19524841010570526,0.06299097836017609,,,,,0.1260080486536026,0.054105829447507865,,,,,0.08701197803020477,,,,,0.0606093555688858,0.05892111361026764,,0.05486935749650002,0.08278307318687439,0.17908984422683716,0.1745220273733139,0.1173221319913864,0.16004811227321625,0.1180233359336853,,,0.1810951977968216,0.1044982522726059,0.11241388320922853,,0.0561358705163002,0.07306640595197678,,0.12049053609371185,0.13310876488685608,0.08334210515022278,,,0.06038505584001541,,,0.185911625623703,,,,,,,,,,,,,,,,0.08250495791435243,0.05769894272089005,0.1371690034866333,0.1043904796242714,,,,,,,,,,,0.0519661009311676,,,,
classification,0.14181265234947205,0.07153166830539702,0.16553178429603574,0.17758670449256894,0.179741770029068,0.19533078372478485,,0.18920932710170746,0.08310823142528534,,0.1616434007883072,0.16890600323677066,0.20167642831802368,0.31967127323150635,0.34959876537323,0.10715633630752563,0.12116605043411255,0.1441538780927658,0.09869461506605147,0.1848006546497345,0.2855679392814636,0.0974852666258812,,,0.15816393494606018,,0.07274921983480452,0.07111229002475739,0.05631527304649352,0.15302430093288422,0.05558917298913002,,0.09162454307079317,0.08112794160842897,0.07185409963130951,0.1594463586807251,0.17920660972595215,0.25113922357559204,0.1594330221414566,0.21037805080413816,0.2814176082611084,,0.1359289288520813,0.3691496253013611,0.1962355375289917,0.2611088156700134,0.17893937230110168,0.15724246203899386,0.19527065753936768,0.11217491328716278,0.2862592339515686,0.3843734264373779,0.16921432316303253,0.07070667296648027,,0.14081302285194394,0.11114396154880524,,0.12554959952831268,,0.06682214885950089,0.08373373001813889,,,0.11799561232328415,,0.08743587136268616,0.155448317527771,0.14011110365390778,0.07641622424125671,0.13212308287620544,0.05614489316940308,0.19348394870758054,0.07867288589477539,0.1350814700126648,0.0780617967247963,0.25836750864982605,0.17371758818626404,,0.09791752696037292,0.08907695859670639,0.11817964911460875,0.07786635309457779,0.14934082329273224,0.16620147228240967,0.2228148877620697,0.08866044878959656,0.2021196484565735,0.2307897061109543,0.1885126531124115,0.08374207466840744,0.1901427060365677,0.08084987103939056
statistical_analysis,0.09015382826328278,0.16733233630657196,0.07894854992628098,0.20716901123523712,0.11948746442794801,0.19565394520759585,0.08269199728965759,0.1474931538105011,0.11863947659730913,,0.060819491744041436,0.09622668474912643,0.18889367580413816,0.1740930676460266,0.18970724940299988,0.16693161427974698,0.164603590965271,0.1401042342185974,0.13469325006008148,0.0928332582116127,0.1910313963890076,,0.15962256491184235,0.09107008576393127,0.1415589451789856,0.13278217613697052,0.1921902298927307,0.0565074160695076,0.28050994873046875,0.1537497639656067,,0.17073094844818115,0.1253949999809265,0.1871829181909561,0.1096569448709488,0.1515260487794876,0.21558509767055511,0.2977997064590454,0.25387126207351685,0.19989743828773496,0.4499201774597168,0.08751802146434784,0.2869856357574463,0.2952912449836731,0.34043848514556885,0.4161189794540405,0.3026728928089142,0.13230599462985992,0.12965047359466553,0.0944695770740509,0.25420501828193665,0.23821921646595,0.14720818400382996,0.15179067850112915,0.09787800908088684,0.12038885056972505,0.08383850753307343,,0.1435489058494568,,0.07815295457839966,0.0525820329785347,,,0.10524114221334456,0.07557103037834167,0.05464918166399002,0.13596251606941226,0.12039390951395035,0.1403677463531494,0.19805827736854556,0.057687968015670776,0.15930908918380735,0.17644789814949036,0.16008546948432922,0.11253031343221664,0.28801417350769043,0.25186002254486084,0.06543583422899246,0.15331676602363584,0.09989707171916963,0.10232321918010713,0.12246916443109512,0.2052436470985413,0.2339816838502884,0.2490760535001755,0.2250358611345291,0.20564743876457212,0.2587761282920837,0.10685966908931732,0.11303375661373137,0.2519973218441009,0.1939096450805664
regression,0.1838550567626953,0.10233734548091887,0.1228802427649498,0.213695764541626,0.1533181071281433,0.16496804356575012,0.1094500720500946,0.18372897803783414,0.20310574769973755,,0.05731077492237091,0.1138426661491394,0.15747690200805664,0.18345367908477786,0.21701855957508087,0.22137404978275302,0.21185460686683652,0.2622702717781067,0.27575135231018066,0.05832836031913757,0.2307150661945343,0.09845901280641556,0.07137437164783478,0.09060496091842653,0.21635720133781436,0.2972381711006165,0.2864351570606232,,0.2704501748085022,0.15833787620067594,0.10689297318458556,0.18529757857322693,0.14835938811302185,0.1762683093547821,0.16225752234458926,0.07176865637302399,0.1538930982351303,0.15338492393493652,0.2048647552728653,0.22521087527275085,0.3331277072429657,0.21750421822071075,0.245288610458374,0.2249598503112793,0.3288071155548096,0.3973851203918457,0.21754533052444455,0.2133537828922272,0.21812859177589414,0.1808938980102539,0.23963522911071775,0.18568205833435056,0.18902179598808289,0.14250971376895905,0.11809499561786653,0.11787228286266327,0.10133661329746246,0.06371880322694777,0.11161519587039948,0.14605122804641724,0.15058067440986633,0.13495555520057678,0.15159913897514346,,0.13073740899562836,0.1128883957862854,0.12802797555923462,0.11353489756584167,0.1594284176826477,0.14767083525657654,0.2144224047660828,0.09795080870389937,0.21568843722343445,0.2305490076541901,0.17715102434158325,0.13394016027450562,0.2689626216888428,0.3074541091918945,0.120321586728096,0.2464941442012787,0.15888795256614685,0.21808397769927976,0.27784743905067444,0.257681667804718,0.2955835461616516,0.31197333335876465,0.2774809598922729,0.198722779750824,0.23038890957832334,0.09935498237609863,0.18011482059955594,0.2405179142951965,0.22325071692466736
correlation,0.2250784933567047,0.12715622782707214,0.16745130717754364,0.2157333642244339,0.16686803102493286,0.2364773750305176,,0.28435587882995605,0.16803988814353946,,,0.1914848238229752,0.3923170268535614,0.30491167306900024,0.2388341128826141,0.16198113560676575,0.2103051394224167,0.2230852246284485,0.23098598420619965,0.08256705105304718,0.2522121071815491,0.11243422329425813,,,0.1322413980960846,0.10037438571453093,0.11671793460845947,,0.22474586963653564,,0.0582956112921238,0.06841595470905304,,0.2493903189897537,0.09248935431241988,0.08712637424468994,0.10602447390556337,0.2091415524482727,,0.1080806404352188,0.25690042972564703,,0.18266895413398745,0.30867719650268555,0.25297853350639343,0.2956481873989105,0.1510338932275772,0.2294178605079651,0.17403921484947205,0.10819336026906967,0.2585358619689941,0.24602922797203064,0.14654898643493652,,,0.16447091102600098,0.155665323138237,0.17574796080589294,0.2210712432861328,0.16717907786369324,0.19350773096084595,0.15011216700077054,0.1928662657737732,,0.26614826917648315,0.18679413199424744,0.2120649814605713,0.15282940864562988,0.19218099117279053,0.2339460104703903,0.24099820852279666,0.14174699783325195,0.1847606748342514,0.18810002505779266,0.30843600630760193,0.18604665994644165,0.2878200113773346,0.2568521499633789,0.05281398445367813,0.1783616542816162,0.11203356087207794,0.21510076522827148,0.1944902390241623,0.2935866713523865,0.309578537940979,0.3829633593559265,0.2340344488620758,0.2932746112346649,0.3569096624851227,0.20404358208179474,0.184899777173996,0.33567628264427185,0.2268870174884796
data_visualization,0.0986240953207016,0.1060607135295868,0.13173924386501312,0.22336894273757932,0.2649543285369873,0.18855522572994232,0.08242066949605943,0.17015615105628967,0.17361518740653992,,0.10714788734912872,0.07516966760158539,0.16390687227249146,0.15857809782028198,0.17556552588939667,0.08441159874200821,0.10230218619108199,,,0.0913502350449562,0.14006629586219788,,0.18451377749443051,,0.11996011435985565,0.1278507262468338,0.10858551412820816,0.06258656084537506,,0.08091617375612259,0.11494062840938568,0.17650875449180606,0.18307173252105716,,0.15201953053474426,0.16585659980773926,0.21262127161026,0.4661152958869934,0.1889940053224564,0.16844509541988373,0.2590380907058716,0.11084924638271333,0.17628255486488342,0.2743486762046814,0.10903801769018172,0.2616732716560364,0.11061102896928787,0.050588738173246384,0.17849037051200867,0.0766882374882698,0.18832817673683167,0.1980380117893219,0.09653857350349426,0.07795505970716476,,0.09267974644899367,0.07421989738941193,0.10103374719619752,,,0.0613817498087883,0.0847531110048294,0.053808555006980896,0.09497722238302232,0.11909791082143785,,,0.09970419108867644,0.06316445767879486,0.08330747485160828,0.11224348843097688,,0.06901699304580687,,0.19696064293384552,0.0842859074473381,0.2139641642570496,0.13557548820972445,,,0.07234102487564087,0.0728021115064621,,0.07909831404685974,0.1228320300579071,0.15561826527118686,0.0743580013513565,0.07525721937417984,0.11026547849178314,0.05785906687378884,0.10418776422739028,0.1467878222465515,
factor_analysis,0.08408316969871521,,,0.056739669293165214,,0.08965083956718445,0.10293067991733552,0.15528380870819092,0.08509374409914018,0.1086939126253128,0.09869571030139923,0.13611987233161926,,,0.11828812956809998,,,0.09387896955013277,0.11451712250709535,,,,0.11137738823890686,0.09356363117694856,0.0635286271572113,0.0811128318309784,0.12429744750261308,0.07458474487066269,0.1125517413020134,0.07813793420791626,,0.09550520777702333,0.17497894167900085,0.05272360518574715,,0.06472650170326233,0.06996865570545198,,,0.10680273920297624,0.07872888445854187,,0.07113058120012282,0.06642202287912369,0.11600181460380556,0.07164275646209718,,,,0.0677153542637825,,,0.07208758592605591,,,0.06423544138669968,,,,,,0.07015427947044373,,,,0.06776992976665497,,0.09367720037698746,,,0.05223412811756134,,0.06611236184835434,0.117299385368824,,,0.05587486550211906,0.10299912840127944,,0.08539748191833496,,0.1737595796585083,0.17906728386878967,0.07755033671855928,,0.07456277310848236,0.10887718945741652,0.13264131546020508,0.13408747315406802,0.08712736517190932,0.10278543829917908,0.08536457270383835,0.08109892159700394
generative_adversarial_networks,,,,,,,,,,0.09955926239490508,0.08903361856937407,,,,,,,,,,,,0.09490594267845154,,,0.05498361587524414,,0.06134296953678131,0.052809253334999084,0.10393987596035004,,,,,,,,,,,,,,,,,,,,,,,0.08095010370016098,,0.07360683381557465,,,,,,,,,,,,,,,,,0.05542735010385513,,,,,,,,,,,,,,,,,,,,,


field_num,start,end,length,column,meaning
1,1,4,4,AIANHH,"American Indian Area/Alaska Native Area/Hawaiian Home Land (Census) 0000=Total (Non-AIANHH plus AIANHH areas
        represented by the record)"
2,5,6,2,STATE,Tabulation State (FIPS) 00=U.S. total
3,7,9,3,COUNTY,Tabulation County (FIPS) 000=U.S. or state total
4,10,12,3,COUSUBCE,"County Subdivision (Census)  Note that this is often referred to as the MCD code.
000=U.S., state, or county total"
5,13,13,1,RT,"Record Type
1=Total
2=Spanish/Hispanic/Latino
3=AIAN
4=AIAN tribal group
5=Asian
6=Asian group"
6,14,16,3,CODE,"Code for AIAN tribal group or Asian group blank= not RT 4 or 6
Note: For RT 4 the codes and their meaning are specified in
         Attachment A for the AIAN tribal groups; for RT 6 see Attachment B for the Asian groups.
"
7,17,25,9,POP,"Total persons
blank=data suppressed"
8,26,34,9,VAPOP,"Total voting age persons
blank=data suppressed"
9,35,43,9,VACIT,"voting age citizens
blank=data suppressed"
10,44,52,9,VACLANG,"Total voting age citizens who speak a language other than English at home.
blank=data suppressed"
11,53,61,9,VACLEP,"Voting age citizens who are limited-English proficient
blank=data suppressed"
12,62,70,9,ILLIT,"Voting age limited-English proficient illiteracy 
blank=data suppressed"
13,71,79,9,CILLIT,"Voting age citizens illiteracy (voting age citizens with no schooling completed plus voting age citizens who have completed nursery school to 4th grade) (QAGE>17, QCITIZEN=1-4, & 
QHIGH=01-02)
blank=data suppressed"
14,80,84,5,LEPPCT,"Percent limited-English proficient with 2 implied 
decimal points
blank=data suppressed"
15,85,89,5,ILLRAT,"Illiteracy rate with 2 implied decimal points
blank=data suppressed"
16,90,90,1,FENG5I,Flag for 5% limited-English proficiency & illiteracy
17,91,91,1,FENG10I,"#=More than 10,000 LEP voting age citizens and the LEP illiteracy rate is higher than the                                                                                           national average
blank=flag not set"
18,92,181,90,NAME1,"U.S. for U.S.  total records.
Blank for state records.
County name for county records.
MCD, County name for county records
AIANHH name for Indian reservation total records."
19,182,183,2,STABRV,State abbreviation.  It is blank for U.S. total and Indian Reservation total records
20,184,273,90,NAME21,Contains the AIANHH name for Indian Reservation records which are not Indian Reservation total records.  This field provides the Indian Reservation name for records which are components of Indian Reservations.
21,274,302,29,RACEGP,The meaning (English translation) of the RT/CODE fields.

study_id,site_id,crop,variety,management,country,latitude,longitude,X_UTM,Y_UTM,zone_UTM,sampling_start_month,sampling_end_month,sampling_year,field_size,yield,yield_units,yield2,yield2_units,yield_treatments_no_pollinators,yield_treatments_pollen_supplement,yield_treatments_no_pollinators2,yield_treatments_pollen_supplement2,fruits_per_plant,fruit_weight,plant_density,seeds_per_fruit,seeds_per_plant,seed_weight,observed_pollinator_richness,other_pollinator_richness,other_richness_estimator_method,richness_restriction,abundance,ab_honeybee,ab_bombus,ab_wildbees,ab_syrphids,ab_humbleflies,ab_other_flies,ab_beetles,ab_lepidoptera,ab_nonbee_hymenoptera,ab_others,total_sampled_area,total_sampled_time,visitation_rate_units,visitation_rate,visit_honeybee,visit_bombus,visit_wildbees,visit_syrphids,visit_humbleflies,visit_other_flies,visit_beetles,visit_lepidoptera,visit_nonbee_hymenoptera,visit_others,Publication,Credit,Email_contact
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_AB,Malus domestica,mixed,conventional,USA,NA,NA,287066.7791,4768463.396,NA,5,5,2013,13.3546,17.29480828,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,2.609848485,NA,NA,NA,NA,NA,NA,NA,NA,NA,17,52.321,Chao1,only bees. Data was obtained by using pantraps,53,0,2,51,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_AH,Malus domestica,mixed,conventional,USA,NA,NA,421258.5996,4725173.018,NA,5,5,2013,20.2343,9.724746374,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,5,10.25,Chao1,only bees. Data was obtained by using pantraps,8,0,0,8,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_BR,Malus domestica,mixed,conventional,USA,NA,NA,404741.7883,4721937.599,NA,5,5,2013,6.0702,16.60146962,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,7,16.286,Chao1,only bees. Data was obtained by using pantraps,14,0,1,13,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_CF,Malus domestica,mixed,organic,USA,NA,NA,258685.6798,4747612.789,NA,5,5,2013,4.0468,15.95674509,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,2.516594517,NA,NA,NA,NA,NA,NA,NA,NA,NA,13,52.558,Chao1,only bees. Data was obtained by using pantraps,43,0,2,41,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_CO,Malus domestica,mixed,organic,USA,NA,NA,303741,4798085,NA,5,5,2013,0.2023,12.19839081,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,0.623219373,NA,NA,NA,NA,NA,NA,NA,NA,NA,13,44.086,Chao1,only bees. Data was obtained by using pantraps,35,0,2,33,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_DC,Malus domestica,mixed,conventional,USA,NA,NA,318795.7151,4765992.266,NA,5,5,2013,4.0468,13.84504424,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,1.419753086,NA,NA,NA,NA,NA,NA,NA,NA,NA,5,7.812,Chao1,only bees. Data was obtained by using pantraps,16,0,0,16,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_EL,Malus domestica,mixed,conventional,USA,NA,NA,399248.6694,4733233.156,NA,5,5,2013,6.8796,5.581076658,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,10,27.486,Chao1,only bees. Data was obtained by using pantraps,35,0,0,35,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_GG,Malus domestica,mixed,organic,USA,NA,NA,310110.9436,4761560.113,NA,5,5,2013,0.607,10.70091774,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,2.245002939,NA,NA,NA,NA,NA,NA,NA,NA,NA,6,8.062,Chao1,only bees. Data was obtained by using pantraps,12,0,0,12,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_HO,Malus domestica,mixed,organic,USA,NA,NA,625345.0166,4858617.466,NA,5,5,2013,12.1406,10.69807809,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,0.238095238,NA,NA,NA,NA,NA,NA,NA,NA,NA,7,14.467,Chao1,only bees. Data was obtained by using pantraps,15,0,0,15,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_HR,Malus domestica,mixed,conventional,USA,NA,NA,390826.2194,4713035.074,NA,5,5,2013,2.4281,7.496817838,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,7,14.429,Chao1,only bees. Data was obtained by using pantraps,14,0,0,14,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_J,Malus domestica,mixed,conventional,USA,NA,NA,320607.163,4779058.102,NA,5,5,2013,1.0117,7.675330731,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,0.565843621,NA,NA,NA,NA,NA,NA,NA,NA,NA,8,19.719,Chao1,only bees. Data was obtained by using pantraps,16,0,0,16,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_KA,Malus domestica,mixed,conventional,USA,NA,NA,333766.3145,4764722.866,NA,5,5,2013,4.0468,9.355918784,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,0.439814815,NA,NA,NA,NA,NA,NA,NA,NA,NA,5,6.929,Chao1,only bees. Data was obtained by using pantraps,7,0,1,6,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_KI,Malus domestica,mixed,conventional,USA,NA,NA,678361.3086,4799702.061,NA,5,5,2013,52.6091,11.76006569,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,0.654761905,NA,NA,NA,NA,NA,NA,NA,NA,NA,14,22.035,Chao1,only bees. Data was obtained by using pantraps,62,0,1,61,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_KLE,Malus domestica,mixed,organic,USA,NA,NA,420149.4268,4742622.087,NA,5,5,2013,1.214,10.99251285,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,2.666666667,NA,NA,NA,NA,NA,NA,NA,NA,NA,5,6.929,Chao1,only bees. Data was obtained by using pantraps,7,0,2,5,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_MH,Malus domestica,mixed,organic,USA,NA,NA,732220,4814790,NA,5,5,2013,1.6187,9.874117187,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,1.666666667,NA,NA,NA,NA,NA,NA,NA,NA,NA,9,12.789,Chao1,only bees. Data was obtained by using pantraps,19,0,0,19,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_MR,Malus domestica,mixed,conventional,USA,NA,NA,672150,4851885,NA,5,5,2013,2.0234,17.70360811,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,7,7.646,Chao1,only bees. Data was obtained by using pantraps,32,0,1,31,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_PB,Malus domestica,mixed,organic,USA,NA,NA,393558.2621,4783080.838,NA,5,5,2013,1.6187,11.2317789,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,0.277777778,NA,NA,NA,NA,NA,NA,NA,NA,NA,9,16.733,Chao1,only bees. Data was obtained by using pantraps,30,0,0,30,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_QU,Malus domestica,mixed,organic,USA,NA,NA,373019.0033,4731555.108,NA,5,5,2013,2.8328,13.08573032,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,7,25,Chao1,only bees. Data was obtained by using pantraps,7,0,0,7,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov
Rachel_Mallinger_Malus_domestica_USA_2013,mall01_SB,Malus domestica,mixed,conventional,USA,NA,NA,648423,4869094,NA,5,5,2013,10.1171,14.60261886,percentage fruit set (100 number of fruits/number of open flowers),NA,NA,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,7,11.32,Chao1,only bees. Data was obtained by using pantraps,25,0,0,25,0,0,0,0,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.1111/1365-2664.12377,"Rachel Mallinger, USDA-ARS",rachel.mallinger@ars.usda.gov


,season,episode,character,line
0,9,2,Eric Cartman,"Hello, ma'am. I'm working to clean up the neighborhood from parasites. Do you mind if I take a quick look around your house? I'm afraid you may have hippies."
1,9,2,Elderly Woman,Hippies?
2,9,2,Eric Cartman,"[walks in and begins to rap the walls with his fist] Yeah, they've been poppin' up all over the neighborhood lately. Ms. Nelson next door had seven hippies in her basement; they usually live in colonies. [raps on the wall and the pitch changes] Hm, I don't like the sound of that. Could I take a look in your attic?"
3,9,2,Eric Cartman,"Oh yeah, boy. Take a look at this, ma'am. [she climbs up until her eyes are level with his] See that? Hippies. [five hippies are sitting in a clearing in the attic, smoking and laughing.]"
4,9,2,Elderly Woman,Oh my.
5,9,2,Eric Cartman,"These are what we call the uh giggling stoners. Pretty common form of hippie, usually found in the attics. Problem is, if you see one hippie, there's probably a whole lot more you're not seein'. Uh, whe-where's the backyard."
6,9,2,Eric Cartman,"Yep, that's what I thought. See that? You've got a drum circle in your backyard. [eight hippies are seen seated around a small campfire drumming away. Logs are scattered around them]"
7,9,2,Elderly Woman,"Oh, well they showed up a few days ago, but I didn't think they were hurting anything."
8,9,2,Eric Cartman,"Yeah. You know, I had a guy in Jackson County. He had a little drum circle in his backyard. It turned into a drum circle four miles in diameter. You get a few hippies playing drums and next thing you know, you got yourself a colony."
9,9,2,Elderly Woman,Oh dear.
10,9,2,Elderly Woman,"Oh, well, so, so what do I do?"
11,9,2,Eric Cartman,"[goes back to rapping the walls, then stops] Well, your attic could be so we can fumigate with polymarethane. The drum circle we're gonna have to gas. [raps again. The wall begins to crack and he steps aside. A hippie breaks through and falls to the floor. Cartman says under his breath] God dammit! [pulls out a fire extinguisher from his backpack]"
12,9,2,Hippie 1,"[dazed and confused, coughing] Whoa, how did I get here? Man, I'm so high."
13,9,2,Eric Cartman,God damn hippie! [opens fire. Foam spews out from the extinguisher]
14,9,2,Hippie 1,"Whoa, dude!"
15,9,2,Eric Cartman,Get out of here!
16,9,2,Hippie 1,Not cool! [stands up and looks at Cartman] What's up?! [runs off]
17,9,2,Eric Cartman,"Ma'am, I need to clear out your giggling stoners and your drum-circle hippies RIGHT NOW, or soon they're gonna attract something much worse!"
18,9,2,Elderly Woman,Ooooo...what's that?
19,9,2,Eric Cartman,The college know-it-all hippies.
20,9,2,Driver,"[wearing green jacket] Wow, my friend Brittany was right. This is a really laid-back place."
21,9,2,Woman 1,"[wearing tan jacket] Yeah, this will be a great place to spend spring break. [Stan, Kyle, and Kenny approach them]"
22,9,2,Kyle Broflovski,"Hey, let's ask them. [the boys are wearing shoulder totes with magazines peeking out from them.]"
23,9,2,Stan Marsh,"All right. [the two parties meet] 'Scuse me. [holds out a clipboard] Hello, we are selling magazine subscriptions for our community youth program. Would you like to help young people like us by purchasing a subscription of your choice?"
24,9,2,Driver,"Oh wow, you guys shouldn't be doing that. Don't you know what you're doing to the world?"
25,9,2,Kyle Broflovski,Wha- whataya mean?
26,9,2,Man 1,"[wearing a guitar over his back] You're playing into the corporate game! See, the corporations are trying to turn you into little Eichmann's so that they can make money. [the other man is busily eating chips]"
27,9,2,Stan Marsh,Who are the corporations?
28,9,2,Woman 2,[a blonde with a psychedelic fish on her shirt] The corporations run the entire world. And now they fooled you into working for them.
29,9,2,Stan Marsh,Are you serious? We never heard that.
30,9,2,Driver,We just spent our first semester at college. Our professors opened our eyes. The government is using its corporate ties to make you sell magazines so they can get rich.
31,9,2,Kyle Broflovski,Ugh! Those dirty liars!
32,9,2,Kenny McCormick,(Sonofabitch!) [throws down his shoulder tote]
33,9,2,Man 2,[has finished his chips] This is a really nice town you have here. That's why the corporations are trying to use you to take it down.
34,9,2,Stan Marsh,Well... Well what do we do?
35,9,2,Driver,Just hang with us for a bit. We'll fill you in on everything you haven't been told. [Man 2 resumes eating chips]
36,9,2,Hippie 2,[wearing a headband] It is time to let us out! I'm sending your names! Open this door right now!
37,9,2,Eric Cartman,"[opens the door real quick and tosses another hippie down the stairs] All right, in you go."
38,9,2,Hippie 2,"What are you doing, man?!"
39,9,2,Hippie 3,[wearing a V-neck sweater] Let us out! [the throng advances up the stairs]
40,9,2,Eric Cartman,Get back. Get back or you're all gonna get maced! [the throng backs down]
41,9,2,Hippie 2,"What's up, man?! You can't keep us down here like this!"
42,9,2,Hippie 4,[with straight long hair] What's wrong with you?!
43,9,2,Eric Cartman,What's wrong is that there's more of you showing up every day and I need to find out why!
44,9,2,Hippie 5,[wearing a thin headband] What makes you think you could tell us where to live?!
45,9,2,Hippie 6,"This is a free country, man!"
46,9,2,Eric Cartman,"Brah, I'm not gonna argue with you, all right? Just go with it."
47,9,2,Hippie 3,Just go with it? We've been down here for days!
48,9,2,Eric Cartman,"And you're gonna be here a little longer, brah, all right? Here, here's some joints [tosses a bunch of joints down to the hippies], and a guitar! [tosses that down as well and shuts the door. He then locks it and sets a large beam across the door, then walks away. The hippies are left there, coughing. One of them takes the guitar and sings]"
49,9,2,Singer,What's goin' on in this world o'mine?There's a whole lot of killin' in this world o'mine. Somebody's gotta help this world o'mine...
50,9,2,Stan Marsh,"Sign, sign everywhere. SignDone something to my mind."
51,9,2,Sharon Marsh,"[peeks out through the sliding doors] Stan, sweetie, we're gonna go to the mall. Do you wanna come?"
52,9,2,Stan Marsh,"Mom, the mall is a way for the corporate fat cats to imprison you into a life of servitude. I've got some stuff you should read."
53,9,2,Sharon Marsh,"Okay, sweetie."
54,9,2,Mayor McDaniels,"All right, people, we can move onto issue number 14B."
55,9,2,Chef,"[Secretary of Public Safety] Mayor, we have got to do somethin' about all these potholes on our roads!"
56,9,2,Linda Stotch,[City Clerk and Treasurer] We don't have it in the budget to fix them right now.
57,9,2,Gerald Broflovski,[City Attorney] We'll wish we spent the money when we have a lawsuit on our hands.
58,9,2,Chef,"We- [a struggle is heard in the hall and the council members turn to see what it is. The door opens and Cartman rushes in, roughed up]"
59,9,2,Guard,You can't go in there!
60,9,2,Eric Cartman,"Please, I have to talk to you all right now!"
61,9,2,Mayor McDaniels,"Kid, we're have a city council meeting."
62,9,2,Eric Cartman,"Mayor, something very big is happening, and if you all don't give me a moment of your time, there may be no more South Park to council over!"
63,9,2,Randy Marsh,[Secretary of Parks and Public Grounds] What are you talking about?
64,9,2,Eric Cartman,"I'm talking about the end of all life as we know it. [some surprise is seen among the council members] For the past several days I've been... noticing a steep rise in the number of hippies coming to town. [puts a laptop on the table and turns it on] At first I thought maybe it was just a coincidence. [pulls a projector towards the laptop] Then I saw this... [connects the projector to the laptop, and the projector turns on. Everyone then looks at the screen. Cartman goes to it and points a few things out] Three new drum circles have sprouted up here, here, and here. They're all growing in diameter, at a rate of two hippies per hour. What this means... is that the hippies are conglomerating. They're thriving, if you will. I think that they're setting up for a... [close-up]. hippie music festival."
65,9,2,Linda Stotch,A what?
66,9,2,Eric Cartman,"It's, it's simple science. Look: When hippies start to nest in a new area, it draws other hippies in. With the right weather conditions and topography, it can lead to a music festival. One that last for days, even weeks. Reggae on the River, Woodstock, Burning Man, they will all pale in comparison to what we're looking at now. In my professional opinion... I think we're looking at a full-blown hippie jam festival the size of which we've never seen. [the adults don't get it, Cartman sighs heavily]"
67,9,2,Mayor McDaniels,"Kid, what the hell are you talking about?"
68,9,2,Eric Cartman,"I know hippies. I've hated them all my life. I've kept this town free of hippies on my own since I was five and a half. But I can't contain them on my own anymore. We have to do something, fast!"
69,9,2,Mr Mackey,"Uh, Eric, we're, we're talkin' about potholes right now, m'kay."
70,9,2,Eric Cartman,It's not potholes you need to worry about. It's potheads. I know what these people are capable of. '
71,9,2,Mayor McDaniels,"Johnson, get him out of here. [Johnson rises and goes for Cartman]"
72,9,2,Eric Cartman,"What are you doing?! [Johnson hauls him away] You have to listen to me! You can't sweep this problem under the rug! [he disappears from view, but peeks in one last time] The town is in serious danger! [Johnson returns to close the door]"
73,9,2,Driver,"You see, the corporations take their profits and invest it in the war machine while keeping everyone blind."
74,9,2,Stan Marsh,"Right, so how do we get back at them?"
75,9,2,Kyle Broflovski,"Yeah, we're pissed off."
76,9,2,Driver,"Well, so my idea was this: Let's have like a week long music festival, draw everyone here, and then together, we can tear it all down. [foam appears out of nowhere and covers the hippie driver] Whoa, what the hell?! [Cartman appears]"
77,9,2,Eric Cartman,"I knew you were trying to have a hippie jam festival! All right, everyone pack up your crap, we're going to our basement!"
78,9,2,Kyle Broflovski,"Cartman, what the hell are you doing?!"
79,9,2,Eric Cartman,"[stops and thinks through what he just heard, then turns around] Oh Jesus, not you guys? [approaches Stan and checks him out] What happened? Were you bit? Did you eat their brownies? DID YOU EAT THEIR BROWNIES?!"
80,9,2,Stan Marsh,[alarmed] NO!
81,9,2,Eric Cartman,"Listen, you're my friends, but if you've been compromised, I'll have no problem taking you out! I'll expect the same from you. [the hippie that wore the guitar over his shoulder approaches the boys]"
82,9,2,Man 1,"What is your problem? Get lost, little Eichmann. [Cartman sprays mace on him and he cries out in pain]"
83,9,2,Woman 2,Oh my God!
84,9,2,Man 2,What the hell are you doing?! [a police car pulls up in the background and Officer Barbrady steps out of the car. He comes for Eric]
85,9,2,Eric Cartman,Everybody get in a single-file line!
86,9,2,Officer Barbrady,There you are!
87,9,2,Eric Cartman,"Ah, Officer Barbrady, you're just in time. These college know-it-all hippies were setting up for a music festival, just as I predicted."
88,9,2,Officer Barbrady,"Eric Cartman, you are under arrest."
89,9,2,Eric Cartman,What?
90,9,2,Officer Barbrady,I was just over at your house and freed sixty-three people you had locked in your basement.
91,9,2,Eric Cartman,"You let them out?! Jesus, we have to find them!"
92,9,2,Officer Barbrady,"Oh no, you're coming downtown! [hauls Cartman away to the police cruiser]"
93,9,2,Eric Cartman,"No! No, we have to stop them! You know how we-?! We gotta stop them! Hebbiaaay! [Barbrady puts him in the passenger seat, then gets into the driver's seat and peels away]"
94,9,2,Driver,Who was that?
95,9,2,Eric Cartman,What did I do?!
96,9,2,Officer Barbrady,You can't kidnap people and lock them in your basement.
97,9,2,Eric Cartman,"They're not people, they're HIPPIES!"
98,9,2,Mayor McDaniels,Is this problem under control?
99,9,2,Officer Barbrady,"I handled it, Mayor. Gee whiz."
100,9,2,Eric Cartman,"[walks to his cell door] Mayor! Mayor, I confirmed the data! The hippies are going to have a massive jam band concert!"
101,9,2,Mayor McDaniels,I know. I signed the permit.
102,9,2,Eric Cartman,"[steps back, stunned] You... You what?"
103,9,2,Mayor McDaniels,"I signed a permit allowing them to have their concert here. Their little ""festival"" should pump some money into our economy."
104,9,2,Eric Cartman,They're hippies! They don't HAVE any money! Does the city council know about this?!
105,9,2,Mayor McDaniels,They don't have to know. I can sign whatever permit I want!
106,9,2,Eric Cartman,You just SOLD OUT OUR TOWN! [Cartman snaps]
107,9,2,Mayor McDaniels,That kid really needs some psychiatric help.
108,9,2,Officer Barbrady,Yeah.
109,9,2,Mayor McDaniels,"All right, let's go."
110,9,2,Eric Cartman,"[quickly composes himself] How much money is enough, Mayor?! How many people's lives it is all worth?! God damned hippy!"
111,9,2,Announcer,This is a South Park News special report! [a crowd scene is shown beside the anchorman]
112,9,2,Anchorman,"Thousands of people have descended on South Park for a hippie music jam festival. The event is said to be the largest such gathering in the history of man. [the crowd scene fills the screen and the MC comes up to the main mic. The stage is set up solidly, with speakers ]"
113,9,2,MC,"All right, welcome to Hippie Jam Fest 2005! [the crowd raises a cheer] Sooo great to see sooo many people turn out to make an impact on on the world! [more cheering follows]"
114,9,2,Stan Marsh,Yeah!
115,9,2,Kyle Broflovski,You said it!
116,9,2,MC,"For too long, the corporations have bled the world of its love and resources! It is time for us to get to work and make the world a better place! And we're gonna start right now. [launches into a jam with his band. The college hippies are in the audience]"
117,9,2,Man 1,"[coughs] Oh man, I can't wait to see the look on those little Eichmann's faces when they hear this crunchy groove. [goes back to smoking pot]"
118,9,2,Randy Marsh,"Sharon, have, have you seen Stan?"
119,9,2,Sharon Marsh,He went with his friends to that music festival.
120,9,2,Randy Marsh,"Oh, Jesus, what has gotten into that kid?!"
121,9,2,Sharon Marsh,"Now, Randy, we were the same way once, too. Don't forget that we were both considered hippies back in the '60s."
122,9,2,Randy Marsh,"Yeah, but when we did it we actually stood for something. I mean, remember Woodstock, Sharon? We actually did something there."
123,9,2,Sharon Marsh,"You ate too much acid, man! [she resumes dancing and slips onto the vomit, face up. Randy pounces on her and starts banging her, sort of. They still have their clothes on.]"
124,9,2,Sharon Marsh,...Oh my God. Our son is with those people.
125,9,2,Randy Marsh,[panics] S-stan. STAAAN!
126,9,2,Announcer,This is South Park News!
127,9,2,Anchorman,Fear and horror in South Park today as the music festival continues to grow. [live footage is shown] They're arriving in droves and apparently no end is in sight.
128,9,2,Reporter,"Tom, the crowd just keeps getting bigger and the town is literally bursting at the seams. We don't know where this music festival came from, but, it's very close to consuming us all."
129,9,2,Linda Stotch,"Steven, what do we do?"
130,9,2,Randy Marsh,"[frantic] Stan?! Stan?! I need to get through, please! [Jimbo approaches him]"
131,9,2,Jimbo Kern,"[restrains Randy] Randy! Randy, you've got to get out of here! If they just trample this park, we'll be trapped! It's too dangerous!"
132,9,2,Randy Marsh,My son is in there! Duh-uh! [breaks away from Jimbo and disappears among the hippies. He reaches a clearing] Stan?! [the marijuana smoke is too much for him. He coughs harshly] Stan! Stan!
133,9,2,Male hippie,"Hey, chill man. It's all good."
134,9,2,Female hippie,Have some water laced with acid.
135,9,2,Randy Marsh,"Sta-ogh. Ugh! [he falls to the ground gagging, then gets into a fetal position and passes out]"
136,9,2,Mayor McDaniels,What have I done?
137,9,2,MC,"Yeah, South Park is now the hippie capital of the world! [a loud cheer rises from the crowd. The Mayor raises her right arm. In her hand is gun. She points it at her temple. the camera moves to the right, the gun goes off, and bits of brain, skull, and blood hit the wall to the right. Her body is heard dropping to the floor]"
138,9,2,Mr Mackey,"Uh huh hi Eric, uh, how's it goin'?"
139,9,2,Eric Cartman,"[gets off his bed] Great, I love crapping in a toilet with no rim on it."
140,9,2,Randy Marsh,"Eric, you were right. About the hippies. Could you... get rid of them for us now?"
141,9,2,Eric Cartman,[angered] Let me guess: they've started a hippie jam band music festival.
142,9,2,Sheila Broflovski,"We we need to take care of them, Eric! They're out of control!"
143,9,2,Eric Cartman,[a bit resentful] Forget it. [turns his back on them and walks back to his bed]
144,9,2,Randy Marsh,Please. Some of our kids are in there. We should have listened to you earlier.
145,9,2,Chef,Yeah. We apologize.
146,9,2,Jimbo Kern,Please. Don't let them ruin our town.
147,9,2,Eric Cartman,"It's too late! Even if I did agree to help, there's too many of them now!"
148,9,2,Mr Mackey,"We know you can do it, Eric. You're smart. Wha- why you're the smartest kid in school, m'kay?"
149,9,2,Randy Marsh,"We're just asking you to try. The whole town even got together and, and baked you a cake. [Sheila presents a cake, and Randy helps out. The cake says Eric on it]"
150,9,2,Eric Cartman,[turns away again] Don't think that you can buy me with presents! ...Unless of course it's the new Tonka radio-controlled play bulldozer.
151,9,2,Randy Marsh,[thinks a moment] It's yours.
152,9,2,Eric Cartman,I want the batteries for it too. And I get to drive it around in the school parking lot.
153,9,2,Principal Victoria,Fine.
154,9,2,Jimbo Kern,Anything else?
155,9,2,Eric Cartman,Yes. [turns around] Kyle doesn't get to have one! Ever! And he has to watch me drive mine around the school parking lot and get super-jealous!
156,9,2,Sheila Broflovski,"Well, we can promise not to buy one for Kyle, but we we can't make him watch you play th- [Rand nudges her hard] Oh yes! Fine! We'll force Kyle to watch you."
157,9,2,Eric Cartman,"All right, fine. But now listen up and listen good! I've never tried to get rid of this many hippies before, so I'm gonna need every resource this town has! And even if I don't succeed, and it's a million-to-one shot that I will, I still get the Tonka radio-controlled bulldozer and get to play with it in the school parking lot where Kyle has to watch me and get super-jealous because he doesn't have one! Are we clear?! [The adults just look back at him]"
158,9,2,Driver,"Wow, this band is so crunchy. Dude, I need more weed."
159,9,2,Stan Marsh,So it seems like we have enough people now. When do we start taking down the corporations?
160,9,2,Man 1,"[take a deep drag from his joint] Yeah man, the corporations. Right now they're raping the world for money!"
161,9,2,Kyle Broflovski,"Yeah, so, where are they. Let's go get 'em."
162,9,2,Man 2,Right now we're proving we don't need corporations. We don't need money. This can become a commune where everyone just helps each other.
163,9,2,Man 1,"Yeah, we'll have one guy who like, who like, makes bread. A-and one guy who like, l-looks out for other people's safety."
164,9,2,Stan Marsh,You mean like a baker and a cop?
165,9,2,Man 2,"No no, can't you imagine a place where people live together and like, provide services for each other in exchange for their services?"
166,9,2,Kyle Broflovski,"Yeah, it's called a town."
167,9,2,Driver,"You kids just haven't been to college yet. But just you wait, this thing is about to get HUGE."
168,9,2,Eric Cartman,"All right, everyone listen up! The hippie jam band festival is now fourteen miles in diameter and five hundred thousand hippies thick."
169,9,2,Randy Marsh,[closes his eyes] My God...
170,9,2,Eric Cartman,"In less than three days, all of South Park will be completely consumed. My only hope is to fight our way to the center of the crowd, and reach the heart, here. [points to the stage] If we can reach the stage, we can upload this Slayer CD into their music system. [shows off a CD-R of Slayer music] Hippies can't stand death metal. If everything works, they should disperse just before they consume us all."
171,9,2,Jimbo Kern,"Nice plan, kid, except there's one giant flaw. That hippie crowd is massive! How the hell are we supposed to get through it and reach the stage?"
172,9,2,Eric Cartman,We drill. [flips the page and a blueprint appears.] I've designed a vehicle that can bore its way through even the densest hippie crowd. They pilots inside will be safe from the pot smoke and the crappy music outside.
173,9,2,Steven Stotch,Yuh... actually suggesting that somebody drives right into the heart of that mob? It's a suicide mission!
174,9,2,Eric Cartman,"Not just somebody. I need a complete team to operate this vehicle. Along with me I'm gonna need a scientist, an engineer, and of course, a black person who can sacrifice himself in case something goes wrong."
175,9,2,Randy Marsh,I'm the... only scientist in town.
176,9,2,Linda Stotch,I'm your engineer.
177,9,2,Steven Stotch,"Honey, no!"
178,9,2,Linda Stotch,"I have to do it, Steven."
179,9,2,Eric Cartman,"All right, then we just need a black person who can sacrifice himself in case something goes wrong. [he looks around, panning by Chef once] Lessee, anyone would do, anyone who meets the qualifications, let's see... [his gaze passes Chef again] Oh, I know. How about- [his gaze falls upon Chef and stays there]"
180,9,2,Chef,"Yeah, yeah! I get it! Fine!"
181,9,2,Steven Stotch,I I can't believe we're actually listening to this. This is a crazy plan!
182,9,2,Randy Marsh,"You got a better ides, Steven?! Dammit, my son is in there!"
183,9,2,Eric Cartman,"There's no more time for ideas! We have to have this vehicle up and operational in less than three days! Look, it's a long shot! But it's also the only shot we- [his face is distorted. Moments later he sneezes and his face is normal again.] got."
184,9,2,Reporter,"Tom, I'm standing in South Park, Colorado, where a desperate attempt to save the town is underway. Some call it a suicide mission, but the heroic men and women of the hippie digger may be our only hope of survival. [Cartman's team enters through the doors of Bay 2]"
185,9,2,Randy Marsh,"Well I... guess this is it, Sharon."
186,9,2,Sharon Marsh,"Please, save our boy, Randy."
187,9,2,Linda Stotch,"Butters, if anything happens to Mommy, I, I want you to be a good boy."
188,9,2,Butters Stotch,"Ah I will, Mom."
189,9,2,Chef,"[with two ladies crying on his shoulders] Now, now, don't cry, ladies. Everything's gonna be fine."
190,9,2,Eric Cartman,"I... don't want you to worry about me, Clyde Frog. [his plush toy sits on a chair] Hey! You're the best stuffed animal I've ever had. [smiles, wipes a tear from his eye, and joins the rest of the crew into the hippie digger. They turn to wave at the townsfolk, who cheer and wave back. Some people take pictures]"
191,9,2,Sheila Broflovski,Look out for yourselves!
192,9,2,Mrs Garrison,Godspeed! [the crew finally enters the digger and closes the door]
193,9,2,Eric Cartman,Primary engine running?
194,9,2,Randy Marsh,Check.
195,9,2,Eric Cartman,Navigation systems?
196,9,2,Linda Stotch,Online
197,9,2,Eric Cartman,"Let's punch this baby. [the digger rolls off its platform] We're coming up on the outer perimeter of the hippies. Hang on. [the digger lunges into the crowd, tossing hippies left and right, maybe killing a few in the process. Inside, the crew is jostled about] Reaching hippie crowd. Hull status?"
198,9,2,Randy Marsh,Vehicle shell holding! [the digger continues clearing a path towards the stage]
199,9,2,Jimbo Kern,They're in!
200,9,2,Townsfolk,"All right! All right, yeah! We did it!"
201,9,2,Mayor McDaniels,"[appears with a bandage around her head] All right, people, let's save it! [blood stains are seen on the bandage over both temples. The suicide attempt failed] They still have a long way to go!"
202,9,2,Stan Marsh,"Alright, I can't take it anymore! I'm getting on that stage!"
203,9,2,Kyle Broflovski,You're doing what?
204,9,2,Guard,"[an old hippie] Hey, you can't go up there. Hoohoo, woo! [smokes his joint. The digger lurches on. A long shot shows the path the digger is taking]"
205,9,2,Eric Cartman,Switching to secondary fuel line. [warning lights begin to flash and warning sounds are heard] What's that?
206,9,2,Randy Marsh,The drill is getting too hot from all the hippies. [the digger stalls and dies]
207,9,2,Mayor McDaniels,What's happened?
208,9,2,Mr Mackey,"They, they s- they stopped. Something's wrong."
209,9,2,Steven Stotch,Jesus... they're dead in the water. [no motion from the digger.] '
210,9,2,Stan Marsh,"Uh, excuse me. Excuse me, can I have your attention please? What are we doing? [the crowd quiets down] It's been nine days! Doesn't it seem like we should accomplish something?"
211,9,2,A hippie,We're using the power of rock and roll to change the world! Woo! [the crowd cheers]
212,9,2,Stan Marsh,"Maybe instead of complaining about corporations being selfish, we should look at ourselves. I mean, is there anything more selfish than doing nothing but getting high and listening to music all day long?"
213,9,2,Singer,He's right. It's time for all of us to focus our energy and get this hippie jam into full swing. [the band starts up again. They missed his point entirely. Stan just turns right and walks away]
214,9,2,Eric Cartman,"Come on, come on!"
215,9,2,Linda Stotch,It's useless. The main power line has been shut down.
216,9,2,Randy Marsh,Somebody's gonna have to go outside and activate the backup boosters.
217,9,2,Eric Cartman,"No, Chef, I'm not gonna let you go out there!"
218,9,2,Chef,...I didn't volunteer!
219,9,2,Eric Cartman,"...All right, fine Chef, go!"
220,9,2,Chef,"...Aw dammit! [rises from his seat and opens the digger door, facing an atmosphere think with marijuana smoke. He climbs down, coughing pretty hard]"
221,9,2,Mayor McDaniels,That's it. We're going to Plan B. Nuke the crowd!
222,9,2,Steven Stotch,God dammit no! Y-you have to give them more time!
223,9,2,Stan Marsh,"Dude, these people have no idea what's going on. Let's get out of here."
224,9,2,Kyle Broflovski,We can't. Kenny just checked. There's a wall of people like seven miles thick behind us.
225,9,2,Stan Marsh,"What? You mean, we're stuck here listening to this crap? [the stage is shown. All of a sudden the digger smashes into it, stopping the festival in its tracks. The crowd looks towards the stage]"
226,9,2,Man 2,"Hey, what happened to the tunes, man?"
227,9,2,Man 1,More tunes. More tunes! [the digger's door opens and the crew steps out]
228,9,2,Linda Stotch,"We made it, We made it!"
229,9,2,Eric Cartman,Hit the PA system NOW! [the crew goes over to it] Put me in the main line! [Randy turns and shoves an unconscious man at the controls off and gathers some cords]
230,9,2,Randy Marsh,Which cord is it?
231,9,2,Eric Cartman,"You're the scientist, jackass!"
232,9,2,Randy Marsh,I'm a geologist!
233,9,2,Linda Stotch,We don't have time to argue! They're gonna nuke us!
234,9,2,Randy Marsh,Nyugh!
235,9,2,Eric Cartman,"Put them in my laptop! [Randy connects one of the cords to the laptop. Cartman selects a song from the Slayer CD he put in the CD-ROM drive: ""Raining Blood"" He clicks ""Play"" and the song blasts forth from the stage speakers. The crowd listens for a while, then begins to disperse.]"
236,9,2,A hippie,"Oh man, not cool."
237,9,2,Hippie 3,[covers his hears and walks off] This music is so angry.
238,9,2,Man 2,This is killing my buzz.
239,9,2,Man 1,Let's bail on this whole angry scene. [the college hippies move off]
240,9,2,Randy Marsh,It's working!
241,9,2,Linda Stotch,What?
242,9,2,Randy Marsh,"It's, it's working!"
243,9,2,Mrs Garrison,We did it! We did it! [the townsfolk cheer and hug each other]
244,9,2,Stan Marsh,Dad!
245,9,2,Randy Marsh,"Stan! [they run up to each other and hug. Nearby, Chef comes to and sits up]"
246,9,2,Chef,"I'm alive! [Kyle walks around aimlessly, but Cartman spots him]"
247,9,2,Eric Cartman,"Hold it right there, Kyle! [Cartman has a small dagger in its sheath. He pulls it out]"
248,9,2,Kyle Broflovski,"Whoa, Cartman. We aren't gonna be hippies anymore. Y-you don't have to kill us."
249,9,2,Eric Cartman,Kill you? Oh no. I have much bigger plans for you now.
250,9,2,Eric Cartman,"Hoho! Aw man, this is awesome! Weeeee! [offers the remote control] Oh here, Kyle, you wanna play with it a little while. [Kyle rises and takes a few steps, but Cartman withdraws the offer] Oh, psych! You don't get to! Hehe. Oh, check it out! Cooool!"


DB,ID,TI,AU,TY,PY,JO,VL,IS,SP,EP,KW,AB,UR,DO,N1
Embase,ovid00001,""" In the driver's seat"" : The Health Sector Strategic Master Plan as an instrument for aid coordination in Mongolia.",Ulikpan A.; Narula I.; Malik A.; Hill P.,Article,,,,,,,,"In 2005, the Ministry of Health (MoH) in Mongolia initiated the process of developing its Health Sector Strategic Master Plan (HSSMP), using a wide-ranging consultative process, driven by the MoH, and requiring participation from all levels of health facilities, other ministries, donor agencies and NGOs. Among other objectives, the MoH sought to coordinate the disparate inputs from key donors through the HSSMP, aligning them with the Plan's structure. This research explores the extent to which the HSSMP process served as a mechanism for effective aid coordination while promoting ownership and capacity building and the lessons learned for the wider international development community. The study is based on document review, key-informant interviews and authors' experience and participation in the MoH planning processes. The HSSMP process improved alignment and harmonisation. It enabled a better local understanding of the benefits of aid coordination, and the recognition that aid coordination as not only a mere administrative task, but a strategic step towards comprehensive management of both domestic and external resources. The process was not challenge free; the fractious political environment, the frequent turnover of key MoH staff, the resistance of some donors towards MoH scrutiny over their programmes and the dismantling of the central coordination and return of seconded staff following completion of the HSSMP, has slowed the pace of reform. Despite the challenges, the approach resulted in positive outcomes in the areas of ownership and better aid coordination, with HSSMP development emphasising ownership and capacity building. This contrasted with the usual outcomes focus, and neglect of the capacity building learning processes and structural and policy changes needed to ensure sustainable change. The largest and most influential programmes in the health sector are now largely aligned with HSSMP strategies, enabling the MoH to utilize these opportunities to optimise the HSSMP outcomes. The lessons for Ministries of Health in similar Post-Soviet countries--or other emerging economies where government capacity and local policy processes are relatively strong--are clear: the development of solid governance and technical infrastructure in terms of planning and evaluation provide a solid structure for donor coordination and insure against local political change. ? 2014 Ulikpan et al.; licensee BioMed Central Ltd.",,,"Globalization and Health. 10 (1) (no pagination), 2014. Article Number: 23. Date of Publication: 03 Apr 2014."
Ovid MEDLINE(R),ovid00002,"""A short trauma course for physicians in a resource-limited setting: Is low-cost simulation effective?"".",Pringle K; Mackey JM; Modi P; Janeway H; Romero T; Meynard F; Perez H; Herrera R; Bendana M; Labora A; Ruskis J; Foggle J; Partridge R; Levine AC,Article,2015.0,,,,,,Global emergency medicine; Medical education; Nicaragua; Simulation; Trauma,"INTRODUCTION: Morbidity and mortality from intentional and unintentional injury accounts for a high burden of disease in low- and middle-income countries. In addition to prevention measures, interventions that increase healthcare capacity to manage injuries may be an effective way to decrease morbidity and mortality. A trauma curriculum tailored to low-resource settings was implemented in Managua, Nicaragua utilising traditional didactic methods and novel low-cost simulation methods. Knowledge gain in attending and senior residents was subsequently assessed by using pre- and post-written tests, and by scoring pre- and post-simulation scenarios.;MATERIALS AND METHODS: A 5-day trauma course was designed for Nicaraguan attending and senior resident physicians who practice at six hospitals in Managua, Nicaragua. On days 1 and 5, participants underwent pre- and post-training evaluations consisting of a 26-question written exam and 2 simulation cases. The written exam questions and simulations were randomly assigned so that no questions or cases were repeated. The Wilcoxon signed-rank test was used to compare pre- and post-training differences in the written exam, and the percentage of critical actions completed in simulations. Time to critical actions was also analyzed using descriptive statistics.;RESULTS: A total of 33 participants attended the course, including 18 (55%) attending and 15 (45%) resident physicians, with a 97% completion rate. After the course, overall written examination scores improved 26.3% with positive mean increase of 15.4% (p<0.001). Overall, simulation scores based on the number of critical actions completed improved by 91.4% with a positive mean increase of 33.67 (p<0.001). The time to critical action for completion of the primary survey and cervical spine immobilisation was reduced by 55.9% and 46.6% respectively.;CONCLUSIONS: A considerable improvement in participants' knowledge of trauma concepts was demonstrated by statistically significant differences in both pre- and post-course written assessments and simulation exercises. The participants showed greatest improvement in trauma simulation scenarios, in which they learned, and subsequently demonstrated, a standardised approach to assessing and managing trauma patients. Low-cost simulation can be a valuable and effective education tool in low- and middle-income countries.;Copyright ? 2015 Elsevier Ltd. All rights reserved.",,,"Injury. 46(9):1796-800, 2015 Sep"
ERIC,ovid00003,"""Adult Education and Community Development."" Bulletin of CDCC Project No. 9.",,Article,1984.0,,,,,,,"This document contains reports of the members of three committees of the Council of Europe who made on-site visits to experimental adult education and community development projects throughout Europe in 1982 and 1983. The 14 reports describing the projects cover the following topics: (1) National Federation of Women's Institutes (United Kingdom); (2) the experiment conducted by the Church of Kurhessen Waldeck (Federal Republic of Germany); (3) the Danish experiment (Silkeborg); (4) the Padasjoki experiment (Finland); (5) the Sicilian experiment (Italy); (6) the Braga experiment (Portugal); (7) the Coria experiment (Spain); (8) the experiment of the ""Lia Romantscha"" (Switzerland); (9) the Twenthe experiment (The Netherlands); (10) the experiment of the ""FUNOC"" (Charleroi, Belgium); (11) the Norwegian experiment; (12) the Ankara experiment (Turkey); (13) the experiment ""Idee Vosges"" (Remiremont, France); and (14) the Landskrona experiment (Sweden). A list of the documents generated by the study groups is included. (KC)",,,New Trends. n5 Sep 1984
ERIC,ovid00004,"""Anything Can Happen in a Story--You Can Even Meet a Baboon Shopping in Town"": Authors Encouraging Children as Writers.","Mhone, Yvonne W",Article,1992.0,,,,,,,"A writing workshop held during a school holiday in an urban center in Southern Africa illustrated the premise that writing experiences with literary patrons can result in benefits for young authors. The workshop was planned with the purpose of encouraging children to write in a setting that emphasized the establishment of a children's library, a related literature-based listening program and a community approach to the sharing of ideas (with experienced writers, group leaders, parents, older children, and peer groups). A multi-age group of primary and early secondary school children (16 in all) participated in the 3-week workshop. Specific workshop activities included storytelling, modeling, revising, editing, learning audience awareness, ""languaging,"" i.e., becoming aware of overused words and hackneyed phrases and being alert to appropriate substitutes; and publishing, i.e., making permanent ""hard-cover"" books out of their own selected writings. The group conferences exerted a positive influence and as a result a confident outlook about reading and writing seemed to emerge. Parents indicated that they saw their children enjoying reading and writing. Children said that they read to try to understand the characters and ""other things."" They also read to look at the illustrations in the stories and to just enjoy a good story. By asking experienced writers to join the team of adult leaders, the children were not only given opportunities to write and learn how their writing unfolds but also to communicate to real audiences (audiences which included professional writers). (Figures representing a sample cluster, guidelines for editing or revising, student and parent inventories, and a sample ""diploma"" for workshop participants are included; 25 references are attached.) (RS)",,,
Embase,ovid00005,"""APEC blue""-The effects and implications of joint pollution prevention and control program.",Wang H.; Zhao L.; Xie Y.; Hu Q.,Article,,,,,,,,"To ensure good air quality in Beijing during Asia-Pacific Economic Cooperation (APEC) China 2014, Beijing and its neighboring five provinces and the associated cities were combined under the Joint Prevention and Control of Atmospheric Pollution (JPCAP) program, which implemented rigorous cooperative emission reduction measures. The program was a unique and large-scale artificial experiment that showed that such measures can achieve excellent results, and it led to the popular ""APEC blue"" catchphrase (i.e., Beijing's skies became blue as pollution levels decreased). This artificial experiment provided the means to effectively conduct JPCAP strategies in the future. Accordingly, our research focused on the characteristics of the six primary pollutants in Beijing. We found that the JPCAP measures directly reduced concentrations of all pollutants except O<inf>3</inf>. Through correlation analysis, we found that the band distribution of the cities with strong correlations in PM<inf>2.5</inf> and PM<inf>10</inf> concentrations was affected by wind conditions. Therefore, JPCAP measures should account for specific seasonal and climatic conditions. Based on cluster analysis using the results from the correlation analysis, we divided 13 cities within a 300-km radius of Beijing into different groups according to the similarity of their PM<inf>2.5</inf> and PM<inf>10</inf> correlation coefficients. For JPCAP measures relevant to PM<inf>2.5</inf> and PM<inf>10</inf>, we found differences in the degrees of collaboration among cities. Therefore, depending upon the pollutant type, the JPCAP strategy should account for the cities involved, the scope of the core area, and the optimal cities to involve in the collaborative efforts based on cost-effectiveness and collaborative difficulty among the involved cities. Copyright ? 2016 Elsevier B.V.",,,"Science of the Total Environment. 553 (pp 429-438), 2016. Date of Publication: May 15, 2016."
ERIC,ovid00006,"""Aprender a Convivir."" A Prevention Program for Improving Social Competence in Three-to Seven-Year-Olds","Alba, Guadalupe; Justicia-Arraez, Ana; Pichardo, M Carmen; Justicia-Justicia, Fernando",Article,2013.0,,,,,,,"Behavior problems are often observed in classrooms. The age at which problems appears is increasingly younger, and there are no interventions that ensure a reduction in such behavior problems among school age children. Research and previous evidence show the importance of social competence in this kind of prevention. Working with preschool and primary students must be the main objective, because social competence is a protective factor against behavior problems. In response to these social and educational problems, American and European countries have begun to include universal prevention programs in their curriculum, the ensure the learning of social competence at school. As an example, the pioneering program ""Aprender a Convivir"" [Learn to Live Together] can be considered a preventive intervention that encourages the innovative and optimal development of prosocial behavior in three- to seven year-old children. Its main contents are: rules, feelings and emotions, empathy, communication skills, interpersonal skills, assertiveness and problem solving skills. The framework focuses on increasing social competence and decreasing behavior problems, with the long term results of preventing antisocial behavior. The present contribution aims to first show the importance of working on social competence at school, and second, to present the ""Aprender a Convivir"" program. This program has been implemented in cities of Spain (Granada, Zaragoza), and in other Spanish-speaking countries (Bolivia, Dominican Republic), showing significant differences in the growth of social competence and the reduction of behavior problems. (As Provided)",,,Electronic Journal of Research in Educational Psychology. v11 n3 p883-904 Dec 2013
ERIC,ovid00007,"""BELTEK"" Project for the Training and Employability of Women in Turkey","Yavuz, Erisen; Nadir, Celikoz; Mehmet, Sahin; Kurtkan, Kapicioglu M Osman; Sait, Atas; Cemal, Akyol; Cagla, Girgin",Article,2010.0,,,,,,,"This is a case study based on BELTEK, which is a training organisation under Ankara metropolitan Municipality in Turkey. BELTEK is one of the initiatives aiming to train women and help to boost their employability. In this descriptive study, the goals, structure, training activities for the training and employability of women are put under discussion so that this study, based on BELTEK, can bring out new suggestions and innovations addressing to women as a disadvantageous group in the lifelong learning process. (As Provided)",,,Education. v130 n4 p666-673 Sum 2010
Embase,ovid00008,"""Body packers"" in Israel: A case series.",Markovits N.; Kurnik D.; Halkin H.; Guranda L.; Cohen A.; Katz M.; Olchovsky D.; Mayan H.; Loebstein R.,Article,,,,,,,,"Background: ""Body packers"" swallow multiple packets filled with illicit drugs, mainly cocaine, in order to smuggle them across international borders. In recent years, an increasing number of body packers have been hospitalized after their detention by the police upon arrival in Israel. Objectives: To characterize the clinical features and outcomes of body packers hospitalized at the Sheba Medical Center. Methods: We conducted a retrospective case series of body packers hospitalized between January 2010 and October 2012 in our medical center. Electronic medical records and imaging files were reviewed to extract clinical, laboratory and radiological data as well as details on medical treatments. Results: We identified 23 body packers (mean age 38 +/- 10 years), 20 of whom smuggled cocaine from South America. The number of packets transported ranged from 1 to 242 (median 42) and duration of hospitalization from 1 to 14 days (median 2). Two subjects required surgical intervention. All others were treated conservatively by polyethylene glycolelectrolyte lavage solution, laxatives, or watchful waiting. Ten patients underwent a urinary screen for illicit drugs, 7 of whom tested positive for cocaine and 2 for cannabinoids. Abdominal X-rays were performed in all patients at admission, and 14 had follow-up imaging, including abdominal CT scans without contrast media in 8. Conclusions: The main treatment goals for body packers are the rapid excretion of drug packets and early detection of complications, i.e., drug intoxication and bowel obstruction. We suggest the use of a structured treatment approach for the in-hospital management of body packers.",,,"Israel Medical Association Journal. 15 (10) (pp 639-645), 2013. Date of Publication: October 2013."
ERIC,ovid00009,"""Bringing Learning Closer to Home"": The Value and Impact of the Lisbon Strategy for Strengthening the Role of Local Learning Centres and Partnerships in South-Eastern Europe","Zarifis, George K",Article,2008.0,,,,,,,"This paper presents a comparative examination of four local learning centres that provide learning opportunities throughout life in Bulgaria, Cyprus, Greece and Turkey. The paper aims to assess some of the strengths and weaknesses of different types of local learning centres and partnerships in South-Eastern Europe--in line with the value and impact of the Lisbon strategy for developing multipurpose local learning centres for ""brining learning closer to home""--in order to draw some conclusions on how to promote greater collaboration and a culture of co-operation, in an area where a lifelong learning culture is still underdeveloped, compared with that in other parts of the European Union. (Contains 1 figure and 55 notes.) (As Provided)",,,International Journal of Lifelong Education. v27 n6 p641-657 Nov 2008
PsycINFO,ovid00010,"""Can the transtheoretical model motivate patients with coronary heart disease to exercise?"": Retracted. [References].","Zhu, Li-Xia; Ho, Shuk-Ching; Sit, Janet WH; He, Hong-Gu",Article,2015.0,Nursing & Health Sciences,17.0,1.0,143.0,,behavior; coronary heart disease; exercise; transtheoretical model; health education; China; Cardiovascular Disorders [3295]; Specialized Interventions [3350],"The preliminary effects of a transtheoretical model-based exercise stage-matched intervention on exercise behavior in sedentary patients with coronary heart disease were examined in this study. This was a pilot randomized, controlled trial. A total of 18 eligible patients with coronary heart disease were recruited and randomized to either a conventional group, a patient-education group, or an exercise stage-matched intervention group. Exercise behavior was measured by exercise stages of change, exercise self-efficacy, exercise decisional balance, and moderate-intensity exercise duration (min/week) at baseline and immediately after the eight week intervention.When compared to baseline, only patients in the exercise stage-matched intervention group demonstrated significant progress in the exercise stages of change, higher exercise self-efficacy, fewer exercise barriers, and longer duration of moderate-intensity exercise after the eight week intervention. A significant difference in the progress in the exercise stages of change was found among the three groups after the eight week intervention. The findings suggest that the transtheoretical model-based exercise stage-matched intervention has potentially-positive effects on motivating sedentary patients with coronary heart disease to engage in exercise. (PsycINFO Database Record (c) 2016 APA, all rights reserved)",,,"Nursing & Health Sciences. Vol.17(1), 2015, pp. 143."
PsycINFO,ovid00011,"""Class smoke-free"" pledge impacts on nicotine dependence in male adolescents: A cluster randomized controlled trial. [References].","Al-sheyab, Nihaya A; Alomari, Mahmoud A; Shah, Smita; Gallagher, Robyn",Article,2016.0,Journal of Substance Use,21.0,6.0,566.0,574.0,Adolescent; pledge; smoking; Drug & Alcohol Rehabilitation [3383]; Educational/Vocational Counseling & Student Services [3580],"Objective: To test the effectiveness of a school-based, peer-led smoking and asthma education program with an additional ""class smoke-free"" pledge on smoking-related knowledge and perception, nicotine dependence, and asthma control in male high school students in Jordan 4 months post-intervention. Methods: In this cluster-randomized controlled trial, four male schools in Irbid, Jordan, were randomly assigned to the intervention (n = 215) or comparison (n = 218) groups. Trained educators trained senior students from the four schools to be peer leaders (n = 53), who then taught peers in grades 7 and 8 (n = 433). The peer leaders in the intervention schools implemented the smoke-free pledge within the 7th and 8th graders, who voluntarily signed the pledge for 4 months. The comparison group received the same intervention components as the intervention group, minus the smoke-free pledge. Data were collected from students in grades 7 and 8 at baseline and 4 months post-intervention. Results: Students from the intervention group reported significant improvements in smoking-related knowledge and perception and lower nicotine dependence as compared to the comparison group. Improvement in asthma control was greater in nonsmokers versus smokers. Conclusions: Voluntary group commitment smoke-free through a pledge is an incentive to motivate adolescents to abstain from smoking. Using social influences approaches in schools is useful in countering current aggressive tobacco marketing campaigns in Arab youth. (PsycINFO Database Record (c) 2016 APA, all rights reserved)",,,"Journal of Substance Use. Vol.21(6), 2016, pp. 566-574."
ERIC,ovid00012,"""Class-Bucks"": A Motivational Tool to Encourage Active Student Participation during Lectures","de Jager, T",Article,2013.0,,,,,,,"The purpose of this study was to ascertain the influence of an extrinsic motivational tool, ""class-bucks,"" on the possibility of improving first year student-teachers' participation in active learning at Tshwane University of Technology in South Africa. Research participants (n=289) were divided into four classes and engaged in this study during the second and third semester of the course. During the second semester, the students in Class 1 and Class 2 were awarded with ""class-bucks"" for active participation in lectures, while Classes 3 and 4 were not awarded. Then, during the third semester, the students in Classes 3 and 4 were awarded, while those in Classes 1 and 2 were not. Semester test results and the number of instances of active participation during lectures were recorded and compared to formulate findings and recommendations. The results presented in this article will assist lecturers in valuing an extrinsic motivational tool, ""class-bucks,"" which can be used to encourage active student participation during lectures, thus contributing to the expansion of quality education and improving the student's ability to retain learning content for longer. (As Provided)",,,Africa Education Review. v10 n1 p18-31 2013


Center,ReferenceNumber,DateCreated,DaysOpen,Status,DateClosed,ImpactCategory,ErrorCode,RootCause,EmployeesInvolved,Description,AssociatedDeviationCAPANumber
35,d2020-123456,01-10-20,6,OPEN,,Minor,SHIPMENT-LABEL CODE INCORRECT,Unknown,"Jane Doe
Susan Smith
",On 01OCT20; Quality Assurance was informed of missing initials and date on Product Release Record.,Unknown
35,d2020-123457,02-10-20,5,OPEN,,Minor,INCOMPLETE/INCORRECT/MISSING RECORD EXCEPTION DOCUMENTATION,Unknown,"Rick Smith
",On 01OCT20; Report Collection Exception was missing.,Unknown
35,d2020-123458,02-10-20,5,OPEN,,Major,DEVIATION MGMT- TREND - MINOR DEVIATION RATE,Process Control,Facilities Management,"On 02Oct20 Quality Assurance discovered that for the month of September 2020, trending in Minor Deviations with 2.9% Minor Deviation Rate for the month.",20-05148
35,d2020-123459,05-10-20,2,OPEN,,Minor,DATA CHANGE- FOLLOW UP NOT PERFOMED WITHIN 7 DAYS,Unknown,"Jane Doe
",On 05Oct20 discovered did not document a weekly follow up within 7 days for Data Change.,Unknown
35,d2020-123460,05-10-20,2,OPEN,,Minor,SUPPLIES- INCORRECT SUPPLY INFORMATION ENTRY,Unknown,"John Doe
","On 05Oct20, discovered that on 03Oct20, a mistake violating SOP Receiving and Transferring of Supplies.",Unknown


source.id,source.name,author,title,description,url,urlToImage,publishedAt,content
techcrunch,TechCrunch,Natasha Mascarenhas,"Dear economy, creators aren’t fragile plants","Hello and welcome back to Equity, TechCrunch’s venture capital-focused podcast, where we unpack the numbers behind the headlines. For this week’s deep dive, Alex and Natasha brought on Alexis Gay, a former operator at Patreon who now makes her living as comed…",http://techcrunch.com/2021/06/30/dear-economy-creators-arent-fragile-plants/,https://techcrunch.com/wp-content/uploads/2020/07/equity-podcast-2019-phone.jpg?w=711,2021-06-30T14:00:19Z,"Hello and welcome back to Equity, TechCrunchs venture capital-focused podcast, where we unpack the numbers behind the headlines.
For this weeks deep dive, Alex and Natasha brought on Alexis Gay, a f… [+1775 chars]"
,New York Times,,Who is Hacking the U.S. Economy?,"In the past few weeks, cyberattacks have taken major industries hostage. Who are the perpetrators and why are the infiltrations becoming so common?",https://www.nytimes.com/2021/06/08/podcasts/the-daily/colonial-pipeline-jbs-ransomware-attacks.html,https://static01.nyt.com/images/2021/06/08/podcasts/08DAILY-pipeline/08DAILY-pipeline-facebookJumbo.jpg,2021-06-08T10:00:07Z,"Nicole Perlroth contributed reporting.
The Daily is made by Lisa Tobin, Rachel Quester, Lynsea Garrison, Annie Brown, Clare Toeniskoetter, Paige Cowett, Michael Simon Johnson, Brad Fisher, Larissa A… [+682 chars]"
,New York Times,David Leonhardt,The Specter of Inflation,Is it haunting the U.S. finance?,https://www.nytimes.com/2021/06/17/briefing/inflation-us-economy-covid-pandemic.html,https://static01.nyt.com/images/2021/06/17/lens/17ambriefing-promo/17ambriefing-inflation-facebookJumbo-v2.jpg,2021-06-17T10:30:22Z,"With excess saving they can afford more of everything, Jason Furman, a Harvard economist and former Obama administration official, wrote this week.
Although companies are increasing the supply of ma… [+2099 chars]"
techcrunch,TechCrunch,Ram Iyer,"As the economy reopens, startups are uniquely positioned to recruit talent","We are amidst a sprawling renegotiation between employers and employees as to the very nature of work, and no one has more leverage than skilled technologists, many of whom feel unmoored.",http://techcrunch.com/2021/06/15/as-the-economy-reopens-startups-are-uniquely-positioned-to-recruit-talent/,https://techcrunch.com/wp-content/uploads/2021/06/GettyImages-93550085.jpg?w=545,2021-06-15T15:50:07Z,"We are amidst a sprawling renegotiation between employers and employees as to the very nature of work, and no one has more leverage than skilled technologists many of whom feel unmoored from their cu… [+1659 chars]"
techcrunch,TechCrunch,Amanda Silberling,"A bank for the creator economy, Karat Financial raises $26M in Series A funding","The creator finance is changing the way that people earn a living, whether you’re an Instagram influencer or a freelance graphic designer. But traditional banks haven’t caught up. Take Alexandra Botez for example. The Stanford graduate earns six figures playi…",http://techcrunch.com/2021/07/01/a-bank-for-the-creator-economy-karat-raises-26m-in-series-a-funding/,https://techcrunch.com/wp-content/uploads/2021/06/Karat-Landing-Page_Mobile_1.2.jpg?w=400,2021-07-01T16:00:16Z,"The creator economy is changing the way that people earn a living, whether you’re an Instagram influencer or a freelance graphic designer. But traditional banks haven’t caught up.
Take Alexandra Bot… [+4712 chars]"
,New York Times,"Sabrina Tavernise, Claire Cain Miller, Quoctrung Bui and Robert Gebeloff",Why More American Women are Delaying Motherhood in their 20s,"The birthrate is falling for American women in their 20s, especially in places where the local finance is booming.",https://www.nytimes.com/2021/06/16/us/declining-birthrate-motherhood.html,https://static01.nyt.com/images/2021/06/14/us/14births-top1/14births-top1-facebookJumbo.jpg,2021-06-16T09:00:33Z,"The perceived price of having children has really increased since I first talked to women in the mid-1990s, said Kathryn Edin, a sociologist at Princeton University who has spent years writing about … [+1792 chars]"
techcrunch,TechCrunch,Annie Siebert,"The US should welcome refugees on humanitarian terms, not just economic ones","After experiencing hardship in their home countries, refugees have unparalleled drive to make a better life for themselves, their families and their communities -- which helps lift our entire finance.",http://techcrunch.com/2021/06/14/the-us-should-welcome-refugees-on-humanitarian-terms-not-just-economic-ones/,https://techcrunch.com/wp-content/uploads/2021/06/GettyImages-1162497947.jpg?w=711,2021-06-14T18:31:51Z,"In December 1991, about 20 days before the Soviet Union formally disintegrated, my family landed in San Francisco as religious refugees fleeing persecution. I was a 9-year-old kid who had just experi… [+5248 chars]"
,New York Times,Patrick McGeehan,New York and New Jersey Need an $11B Tunnel. Will Biden Make It Happen?,The transportation secretary said building a new rail link under the Hudson River is critical to the finance far beyond the region.,https://www.nytimes.com/2021/06/28/nyregion/gateway-tunnel-ny-nj.html,https://static01.nyt.com/images/2021/06/28/nyregion/28nyrails-1/merlin_190047198_022e6417-bb54-41c5-b361-bcdc339e0eac-facebookJumbo.jpg,2021-06-28T22:24:24Z,"New York and New Jersey have agreed to split the cost with the federal government, although each state will most likely borrow most of its share from the federal government and pay it back over decad… [+1750 chars]"
,New York Times,Neil Irwin,America Is Driving the Global Economy. When Does That Become a Problem?,New trade data suggests the outlook for the U.S. finance will depend in part on the rate of recovery of other nations.,https://www.nytimes.com/2021/06/08/upshot/pandemic-economy-trade.html,https://static01.nyt.com/images/2021/06/08/upshot/08up-trade/merlin_188260386_d6b47551-cad1-4bdd-8986-a893f1174ad7-facebookJumbo.jpg,2021-06-08T15:22:14Z,"In the math of global economics, a foreign tourist staying in the United States is essentially purchasing an American services export. Travel exports were only $18 billion in the first four months of… [+1785 chars]"
,New York Times,Andy Newman,How the Candidates for N.Y.C. Mayor Would Tackle Homelessness,"In the Democratic primary’s last days, and with New York’s finance starting to regain its footing, a chronic problem gains new urgency.",https://www.nytimes.com/2021/06/18/nyregion/ny-mayor-homelessness.html,https://static01.nyt.com/images/2021/06/17/nyregion/00nymayor-homeless1/00nymayor-homeless1-facebookJumbo.jpg,2021-06-18T09:00:26Z,"Expand the use of shelters that offer more privacy and have fewer rules.
So-called safe haven and stabilization shelters offer single-occupancy rooms and fewer rules and restrictions as to who quali… [+2275 chars]"
,New York Times,The New York Times,June Jobs Report Will Offer a Reading on Economic Momentum,"In today’s job’s report, economists expect payroll gains to top 700,000, an increase from the 559,000 announced for May. Here’s the latest on the finance.",https://www.nytimes.com/live/2021/07/02/business/economy-stock-market-news,https://static01.nyt.com/images/2021/07/02/business/02economy-briefing-jobs/02economy-briefing-jobs-facebookJumbo.jpg,2021-07-02T09:57:49Z,"The latest clues to the state of the nations economic recovery will come Friday morning when the Labor Department releases its June jobs report.Economists expect payroll gains to top 700,000, an incr… [+3074 chars]"
cnn,CNN,,Biden on jobs report: 'This is historic progress',"President Joe Biden speaks about the US finance adding 559,000 jobs in May, dropping the unemployment rate to 5.8%. CNN's Christine Romans breaks down the jobs report.",https://www.cnn.com/videos/business/2021/06/04/joe-biden-economy-sot-romans-nr-vpx.cnn,https://cdn.cnn.com/cnnnext/dam/assets/210604104621-01-biden-remarks-on-economy-0604-super-tease.jpg,2021-06-04T15:27:53Z,
techcrunch,TechCrunch,Mike Butcher,Australian ID verification startup OCR Labs raises $15M Series A to expand into UK/Turkey/Europe,"With the gig finance came the need for ID verification, thus startups like OnFido (raised $188.8 million) appeared, alongside several others. But this sector is by no means ‘done’ yet. Now, OCR Labs, which emerged from Australia, has announced a €12.5M / $15 …",http://techcrunch.com/2021/06/15/australian-id-verification-startup-ocr-labs-raises-15m-series-a-to-expand-into-uk-turkey-europe/,https://techcrunch.com/wp-content/uploads/2021/06/OCR-Labs_LtoR_Ronnie-Kessler-COO-Matthew-Adams-CTO-Co-Founder-and-Daniel-Aiello-CPO-Co-Founder-.jpg?w=601,2021-06-15T08:58:29Z,"With the gig economy came the need for ID verification, thus startups like OnFido (raised $188.8 million) appeared, alongside several others. But this sector is by no means done yet.
Now, OCR Labs, … [+2058 chars]"
techcrunch,TechCrunch,Ingrid Lunden,Home services platform Thumbtack raises $275M on a $3.2B valuation to double down on home management,"On the heels of making an acquisition in December of home management startup Setter, Thumbtack — one of the pioneers in the home services gig finance — has raised a big round to double down on the model. The company has raised a fresh $275 million, money that…",http://techcrunch.com/2021/06/15/thumbtack-home-services/,https://techcrunch.com/wp-content/uploads/2015/05/shutterstock_116263732.jpg?w=604,2021-06-15T12:19:40Z,"On the heels of making an acquisition in December of home management startup Setter, Thumbtack — one of the pioneers in the home services gig economy — has raised a big round to double down on the mo… [+5627 chars]"
techcrunch,TechCrunch,Darrell Etherington,SkyWatch raises $17.2M for its Earth observation data platform,"Waterloo-based SkyWatch was among the first startups to recognize that the key to unlocking the real benefits of the space finance lay in making Earth observation data accessible and portable, and now the company has raised a $17.2 million Series B to help it…",http://techcrunch.com/2021/06/15/skywatch-raises-17-2m-for-its-earth-observation-data-platform/,https://techcrunch.com/wp-content/uploads/2020/10/GettyImages-1032650858.jpg?w=600,2021-06-15T14:24:00Z,"Waterloo-based SkyWatch was among the first startups to recognize that the key to unlocking the real benefits of the space economy lay in making Earth observation data accessible and portable, and no… [+3934 chars]"
techcrunch,TechCrunch,Lucas Matney,Creator tools startup Spore raises $1M to build closer bonds between influencers and their fans,"Few spaces have grown hotter in the past year than the creator finance has, but for all of the new tools available to those starting a podcast, newsletter or storefront, most players have been more focused on building out their own platform opportunity rather…",http://techcrunch.com/2021/06/24/creator-tools-startup-spore-raises-1m-to-build-closer-bonds-between-influencers-and-their-fans/,https://techcrunch.com/wp-content/uploads/2021/06/press_image_1.png?w=764,2021-06-24T15:12:18Z,"Few spaces have grown hotter in the past year than the creator economy has, but for all of the new tools available to those starting a podcast, newsletter or storefront, most players have been more f… [+2610 chars]"
techcrunch,TechCrunch,Tage Kene-Okafor,Egypt’s Minly raises $3.6M to connect celebrities and fans through personalized experiences,"In the past year, we’ve seen a growing trend of creators adopting digital and social media, not just as a supplement to their media presence but also as a cornerstone of their personal brand. The pandemic has surely accelerated creator finance trends. Many po…",http://techcrunch.com/2021/06/27/egypts-minly-raises-3-6m-to-connect-celebrities-and-fans-through-personalized-experiences/,https://techcrunch.com/wp-content/uploads/2021/06/20210627_105637.jpg?w=450,2021-06-27T10:12:00Z,"In the past year, we’ve seen a growing trend of creators adopting digital and social media, not just as a supplement to their media presence but also as a cornerstone of their personal brand.
The pa… [+5903 chars]"
cnn,CNN,"Julia Horowitz, CNN Business",Americans are still sitting on loads of stimulus cash,"As CEO of one of America's biggest banks, Bank of America's Brian Moynihan has unique insight into the health of the country's finance. And right now, what he's seeing is positive.",https://www.cnn.com/2021/06/07/investing/premarket-stocks-trading/index.html,https://cdn.cnn.com/cnnnext/dam/assets/210607073257-shoppers-washington-dc-restricted-super-tease.jpg,2021-06-07T12:12:23Z,"A version of this story first appeared in CNN Business' Before the Bell newsletter. Not a subscriber? You can sign up right here.
London (CNN Business)As CEO of one of America's biggest banks, Bank … [+5273 chars]"
cnn,CNN,,Parents facing hurdles returning to work,"As the finance reopens, parents are in a bind -- childcare centers have a shortage of workers, leaving the number of open slots lower than usual. CNN's Vanessa Yurkevich reports.",https://www.cnn.com/videos/business/2021/06/11/childcare-labor-shortage.cnnbusiness,https://cdn.cnn.com/cnnnext/dam/assets/210611120755-childcare-worker2-super-tease.jpg,2021-06-11T16:11:26Z,
,Gizmodo.com,Whitney Kimball,8 Money Toilets,"A ferocious bidding war over a misshapen chicken nugget concluded at $99,997 in the wee hours of Friday morning. Doesn’t seem weird at all, in a world where people are spending millions of dollars for blockchain tokens backed only by words. But wait, is this …",https://gizmodo.com/8-money-toilets-1847036893,"https://i.kinja-img.com/gawker-media/image/upload/c_fill,f_auto,fl_progressive,g_center,h_675,pg_1,q_80,w_1200/a528d73090abd2c91b536585aa942f8b.jpg",2021-06-04T22:20:00Z,"CryptoPunks represent the only historically relevant narrative upon which value could conceivably live for decades within an expanding catalogue raisonné, and Ill be damned if Im counting Jacks tweet… [+1096 chars]"


Category,Metric Name,Definition,Range of Time,Source,Aggregation Level,Comments,Documentation link
Economy,Per Capita Income,Per capita income (2018 inflation-adj dollars),2014-2018 5-year estimate,Census 2018 ACS,County,,https://www.census.gov/data/developers/data-sets/acs-5year.html
Economy,Meidan Household Income,Median household income (2018 inflation-adj dollars),2014-2018 5-year estimate,Census 2018 ACS,County,,https://www.census.gov/data/developers/data-sets/acs-5year.html
Economy,Unemployment Rate,Percent of Pop 16 years and over in the civilian labor force and unemployed,2014-2018 5-year estimate,Census 2018 ACS,County,,https://www.census.gov/data/developers/data-sets/acs-5year.html
Economy,Poverty Rate,Percentage of families and people whose income in the past 12 months is below the poverty level,2014-2018 5-year estimate,Census 2018 ACS,County,,https://www.census.gov/data/developers/data-sets/acs-5year.html
Social,Median Age,Median age (years),2014-2018 5-year estimate,Census 2018 ACS,County,,https://www.census.gov/data/developers/data-sets/acs-5year.html
Social,Bachelors and Higher,Percentage of population 25 years and over with an educational attainment of a Bachelor's degree or higher,2014-2018 5-year estimate,Census 2018 ACS,County,,https://www.census.gov/data/developers/data-sets/acs-5year.html
Social,Green Commuting %,"Percentage of workers who commute to work using 'green' methods divided by Green + Non-green methods
Green methods include: Walking, Public Transit, Carpooling. 
Non-green methods include: Drive alone
Excluded from calculation: Work from home, Other",2014-2018 5-year estimate,Census 2018 ACS,County,,https://www.census.gov/data/developers/data-sets/acs-5year.html
Social,Commute Time,Mean travel time to work (minutes) for workers 16 years and over,2014-2018 5-year estimate,Census 2018 ACS,County,,https://www.census.gov/data/developers/data-sets/acs-5year.html
Social,Political Lean,"How the county leans politically based on the 2016 election results. Calculated by subtracting % voted democrat from % voted republican. Categorization as follows: 
<2% = Toss-up
>2% and <= 10% = Lean Republican/Democrat
>10% = Solid Republican/Democrat",2016 Presidential Election,"MIT Election Data and Science Lab, Harvard Dataverse",County,"Alaska results are a statewide average, as they do report out retuls by their State House Districts, which cannot be rolled up into county-equivalent regions",https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VOQCHQ
Weather,Average Sunny Days,Average number of sunny days per year across the state,Aggregate data over decades,Current Results,State,,https://www.currentresults.com/Weather/US/average-annual-state-sunshine.php
Weather,Average Annual Temp,Average annual temperature across the state,Aggregate data over decades,Current Results,State,,https://www.currentresults.com/Weather/US/weather-averages-index.php
Weather,Average Winter Temp,Average winter temperature across the state,Aggregate data over decades,Current Results,State,,https://www.currentresults.com/Weather/US/weather-averages-index.php
Weather,Average Spring Temp,Average spring temperature across the state,Aggregate data over decades,Current Results,State,,https://www.currentresults.com/Weather/US/weather-averages-index.php
Weather,Average Summer Temp,Average summer temperature across the state,Aggregate data over decades,Current Results,State,,https://www.currentresults.com/Weather/US/weather-averages-index.php
Weather,Average Fall Temp,Average fall temperature across the state,Aggregate data over decades,Current Results,State,,https://www.currentresults.com/Weather/US/weather-averages-index.php
Population,Total Population,Estimate of total county population,2014-2018 5-year estimate,Census 2018 ACS,County,,https://www.census.gov/data/developers/data-sets/acs-5year.html
Population,Population Ins,"Count of people who moved into this county. Based on survey respondents answer to where they live now, and where they lived a year ago",2014-2018 5-year estimate,Census 2018 ACS,County,Intra-US movement only. Excludes PR & Intl movement,https://www.census.gov/data/developers/data-sets/acs-migration-flows.html
Population,Population Outs,"Count of people who moved out of this county. Based on survey respondents answer to where they live now, and where they lived a year ago",2014-2018 5-year estimate,Census 2018 ACS,County,Intra-US movement only. Excludes PR & Intl movement,https://www.census.gov/data/developers/data-sets/acs-migration-flows.html
Population,Population Net Movement,Population Ins - Population Outs,2014-2018 5-year estimate,Census 2018 ACS,County,Intra-US movement only. Excludes PR & Intl movement,https://www.census.gov/data/developers/data-sets/acs-migration-flows.html
Population,Net Movement as a % of pop,Population Net Movement / Total Population,2014-2018 5-year estimate,Census 2018 ACS,County,Intra-US movement only. Excludes PR & Intl movement,"https://www.census.gov/data/developers/data-sets/acs-migration-flows.html
https://www.census.gov/data/developers/data-sets/acs-5year.html"
Urban/Rural,Total Area (sq. mi.),Total Land & Water area in square miles,2018,2019 Gazetteer File,County,,https://www.census.gov/geographies/reference-files/time-series/geo/gazetteer-files.html
Urban/Rural,Population % Urban,Percentage of Population living in Urban areas,2010,Decentenial Census,County,"Within each county, areas are defined as Urban or Rural",https://www.census.gov/programs-surveys/geography/guidance/geo-areas/urban-rural/2010-urban-rural.html
Urban/Rural,Population % Rural,Percentage of Population living in Rural areas,2010,Decentenial Census,County,"Within each county, areas are defined as Urban or Rural",https://www.census.gov/programs-surveys/geography/guidance/geo-areas/urban-rural/2010-urban-rural.html
Urban/Rural,Area % Urban,Percentage of Area defined as Urban areas,2010,Decentenial Census,County,"Within each county, areas are defined as Urban or Rural",https://www.census.gov/programs-surveys/geography/guidance/geo-areas/urban-rural/2010-urban-rural.html
Urban/Rural,Area % Rural,Percentage of Area defined as Rural areas,2010,Decentenial Census,County,"Within each county, areas are defined as Urban or Rural",https://www.census.gov/programs-surveys/geography/guidance/geo-areas/urban-rural/2010-urban-rural.html
Urban/Rural,Population Density Urban,Population density of areas defined as Urban areas,2010,Decentenial Census,County,"Within each county, areas are defined as Urban or Rural",https://www.census.gov/programs-surveys/geography/guidance/geo-areas/urban-rural/2010-urban-rural.html
Urban/Rural,Population Density Rural,Population density of areas defined as Rural areas,2010,Decentenial Census,County,"Within each county, areas are defined as Urban or Rural",https://www.census.gov/programs-surveys/geography/guidance/geo-areas/urban-rural/2010-urban-rural.html
Real Estate,Housing % Occupied,Occupied housing units / Total housing units,2014-2018 5-year estimate,Census 2018 ACS,County,,https://www.census.gov/data/developers/data-sets/acs-5year.html
Real Estate,Housing % Vacancies,Vacant housing units / Total housing units,2014-2018 5-year estimate,Census 2018 ACS,County,,https://www.census.gov/data/developers/data-sets/acs-5year.html
Real Estate,Housing % Owned,Onwer occupied housing units / Occupied housing units,2014-2018 5-year estimate,Census 2018 ACS,County,,https://www.census.gov/data/developers/data-sets/acs-5year.html
Real Estate,Housing % Rented,Renter occupied housing units / Occupied housing units,2014-2018 5-year estimate,Census 2018 ACS,County,,https://www.census.gov/data/developers/data-sets/acs-5year.html
Similar Counties,Similar Counties,Top 5 similar counties based on the clustering algorithm performed. Visit the clustering page to view all similar counties,N/A,Market Maven,County,,N/A
Geography,FIPS Code,"Unique geographical identifier. First 2 digits represent the state code, Last 3 digits represent the county code",2019,https://www.census.gov/geographies/reference-files/2019/demo/popest/2019-fips.html,County,,https://www.census.gov/geographies/reference-files/2019/demo/popest/2019-fips.html
Geography,County,Census-defined county,2019,https://www.census.gov/geographies/reference-files/2019/demo/popest/2019-fips.html,County,,https://www.census.gov/geographies/reference-files/2019/demo/popest/2019-fips.html
Geography,State,Census-defined state,2019,https://www.census.gov/geographies/reference-files/2019/demo/popest/2019-fips.html,County,"Includes DC, excludes PR",https://www.census.gov/geographies/reference-files/2019/demo/popest/2019-fips.html
Geography,CSA,"Combined Statistical Area. Combination of the Metropolitan or Micropolitan Statistical Area, if a county is a part of one",Mar-20,https://www.census.gov/geographies/reference-files/time-series/demo/metro-micro/delineation-files.html,County,,https://www.census.gov/geographies/reference-files/time-series/demo/metro-micro/delineation-files.html
Geography,Division,Census-defined division,2019,https://www.census.gov/geographies/reference-files/2019/demo/popest/2019-fips.html,County,,https://www.census.gov/geographies/reference-files/2019/demo/popest/2019-fips.html
Geography,Region,Census-defined region,2019,https://www.census.gov/geographies/reference-files/2019/demo/popest/2019-fips.html,County,,https://www.census.gov/geographies/reference-files/2019/demo/popest/2019-fips.html


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Namespace,Type,NOF,NOM,NOP,NOPF,NOPM,LOC,WMC,NC,DIT,LCOM,Fan-Out,Fan-In,Fan-Out types,Fan-In types
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System.Threading.Tasks,EAPCommon,0,1,0,0,0,18,4,0,0,-1,0,1,,System.Net.WebClientExtensions
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pull_req_id,project_name,lang,github_id,created_at,merged_at,closed_at,lifetime_minutes,mergetime_minutes,merged_using,conflict,forward_links,team_size,num_commits,num_commit_comments,num_issue_comments,num_comments,num_participants,files_added,files_deleted,files_modified,files_changed,src_files,doc_files,other_files,perc_external_contribs,sloc,src_churn,test_churn,commits_on_files_touched,test_lines_per_kloc,test_cases_per_kloc,asserts_per_kloc,watchers,requester,prev_pullreqs,requester_succ_rate,followers,intra_branch,main_team_member
2775959,DataTorrent/Malhar,java,618,1389306127,1389306814,1389306814,11,11,github,false,false,12,1,0,0,0,0,0,0,3,3,4,0,0,77,31410,84,2,4,515.6319643425661,8.404966571155683,24.705507800063675,9,davidyan-malhar,20,0.3,1,false,true
2768981,DataTorrent/Malhar,java,616,1389221066,1389221092,1389221092,0,0,github,false,false,12,1,0,0,0,0,1,0,2,3,0,2,1,78,31400,0,0,3,515.7961783439491,8.40764331210191,24.713375796178344,9,nickholub,30,0.36666666666666664,0,false,true
2762392,DataTorrent/Malhar,java,614,1389134243,1389134371,1389134371,2,2,github,false,false,12,1,0,0,0,0,0,0,1,1,1,0,0,78,31382,2,0,0,516.0920272767828,8.412465744694412,24.727550825313873,9,davidyan-malhar,19,0.2631578947368421,1,false,true
2756649,DataTorrent/Malhar,java,613,1389057283,1389057312,1389057312,0,0,github,false,false,11,16,0,0,0,0,26,1,50,77,37,18,2,79,31382,1270,0,104,516.0920272767828,8.412465744694412,24.727550825313873,9,andyperlitch,26,0.46153846153846156,4,false,true
2756000,DataTorrent/Malhar,java,612,1389046839,1389047047,1389047047,3,3,github,false,false,11,1,0,0,0,0,0,0,2,2,2,0,0,79,31300,166,0,20,517.220447284345,8.434504792332268,24.76038338658147,9,gauravgopi123,27,0.2222222222222222,0,false,true
2754745,DataTorrent/Malhar,java,611,1389033585,1389119936,1389119936,1439,1439,github,false,false,11,1,0,0,0,0,0,0,1,1,1,0,0,79,31783,0,22,3,517.0059465752131,8.432180725545102,24.604348236478618,9,gauravgopi123,26,0.19230769230769232,0,false,true
2743300,DataTorrent/Malhar,java,609,1388790852,,1389046871,4266,,unknown,false,false,11,5,0,0,0,1,0,0,2,2,2,0,0,79,31300,238,0,0,517.220447284345,8.434504792332268,24.76038338658147,9,gauravgopi123,25,0.2,0,false,true
2743112,DataTorrent/Malhar,java,608,1388788367,1388788378,1388788378,0,0,github,false,false,11,1,0,0,0,0,0,0,1,1,1,0,0,79,31300,2,0,7,517.220447284345,8.434504792332268,24.76038338658147,9,nickholub,29,0.3448275862068966,0,false,true
2739730,DataTorrent/Malhar,java,606,1388786869,1389119919,1389119919,5550,5550,github,false,false,11,1,1,0,1,1,2,0,2,4,3,1,0,79,31783,191,97,13,517.0059465752131,8.432180725545102,24.604348236478618,9,ashwinchandrap,14,0.35714285714285715,0,false,true
2742610,DataTorrent/Malhar,java,605,1388783137,,1389030168,4117,,unknown,false,false,11,1,0,1,1,1,0,0,1,1,1,0,0,79,31300,18,0,0,517.220447284345,8.434504792332268,24.76038338658147,9,gauravgopi123,24,0.20833333333333334,0,false,true
2722912,DataTorrent/Malhar,java,603,1388434620,1388434636,1388434636,0,0,commits_in_master,false,false,11,1,0,0,0,0,0,0,4,4,3,0,0,80,31300,85,0,18,517.220447284345,8.434504792332268,24.76038338658147,9,nickholub,28,0.35714285714285715,0,false,true
2712661,DataTorrent/Malhar,java,601,1388184537,1388184551,1388184551,0,0,commits_in_master,false,false,11,1,0,0,0,0,0,0,4,4,2,1,0,80,31300,14,0,18,517.220447284345,8.434504792332268,24.76038338658147,9,nickholub,27,0.37037037037037035,0,false,true
2703335,DataTorrent/Malhar,java,595,1388096309,1388096335,1388096335,0,0,commits_in_master,false,false,11,1,0,0,0,0,0,0,9,9,4,3,1,80,31176,11,0,26,519.2776494739543,8.468052347959969,24.858865794200668,9,nickholub,26,0.38461538461538464,0,false,true
2697487,DataTorrent/Malhar,java,592,1387943021,1387943049,1387943049,0,0,commits_in_master,false,false,11,1,0,0,0,0,3,0,11,14,11,3,1,79,31176,217,0,27,519.2776494739543,8.468052347959969,24.858865794200668,9,nickholub,25,0.4,0,false,true
2696628,DataTorrent/Malhar,java,590,1387913253,1387913854,1387913854,10,10,commits_in_master,false,false,11,2,0,0,0,0,10,5,14,29,16,8,0,80,31176,1670,0,70,519.2776494739543,8.468052347959969,24.858865794200668,9,andyperlitch,25,0.48,4,false,true
2691806,DataTorrent/Malhar,java,585,1387827399,1387828110,1387828110,11,11,commits_in_master,false,false,11,12,0,0,0,0,6,18,35,59,18,17,18,80,31095,171,0,83,517.5108538350217,8.393632416787264,24.762823605081202,9,andyperlitch,24,0.5,4,false,true
2681834,DataTorrent/Malhar,java,581,1387587135,1387587158,1387587158,0,0,commits_in_master,false,false,11,1,0,0,0,0,0,0,10,10,5,3,1,80,31095,58,0,17,517.5108538350217,8.393632416787264,24.762823605081202,9,nickholub,24,0.4166666666666667,0,false,true
2681383,DataTorrent/Malhar,java,577,1387579744,1388165334,1388165334,9759,9759,commits_in_master,false,false,11,2,0,0,0,0,0,0,3,3,3,0,0,80,31095,241,0,30,517.5108538350217,8.393632416787264,24.762823605081202,9,gauravgopi123,23,0.21739130434782608,0,false,true
2674964,DataTorrent/Malhar,java,573,1387493616,1387493639,1387493639,0,0,commits_in_master,false,false,11,1,0,0,0,0,0,0,12,12,8,3,0,78,31086,290,0,17,517.6606832657789,8.396062536189925,24.769992922859164,8,nickholub,23,0.43478260869565216,0,false,true
2674921,DataTorrent/Malhar,java,572,1387493133,1387493157,1387493157,0,0,commits_in_master,false,false,11,1,0,0,0,0,0,0,1,1,1,0,0,78,31086,11,0,3,517.6606832657789,8.396062536189925,24.769992922859164,8,andyperlitch,23,0.5217391304347826,4,false,true
2674643,DataTorrent/Malhar,java,568,1387490118,1387490153,1387490153,0,0,commits_in_master,false,false,11,1,0,0,0,0,0,0,1,1,1,0,0,78,31086,2,0,2,517.6606832657789,8.396062536189925,24.769992922859164,8,andyperlitch,22,0.5454545454545454,4,false,true
2674292,DataTorrent/Malhar,java,566,1387486752,1387486789,1387486789,0,0,commits_in_master,false,false,11,1,0,0,0,0,0,0,2,2,2,0,0,78,31086,37,0,6,517.6606832657789,8.396062536189925,24.769992922859164,8,andyperlitch,21,0.5714285714285714,4,false,true
2672478,DataTorrent/Malhar,java,564,1387468899,1387484570,1387484570,261,261,commits_in_master,false,false,11,1,0,0,0,0,11,4,25,40,26,12,0,78,31086,1171,0,57,517.6606832657789,8.396062536189925,24.769992922859164,8,andyperlitch,20,0.6,4,false,true
2668841,DataTorrent/Malhar,java,560,1387419834,1389056354,1389056354,27275,27275,commits_in_master,false,false,11,1,0,0,0,0,0,0,3,3,3,0,0,78,31086,84,10,13,517.6606832657789,8.396062536189925,24.769992922859164,8,chandnisingh,32,0.1875,0,false,true
2668402,DataTorrent/Malhar,java,558,1387411545,,1387482747,1186,,unknown,false,false,11,2,0,0,0,0,3,0,4,7,3,1,0,78,31398,331,0,4,522.453659468756,8.535575514363972,24.906044971017263,7,siyuanh,17,0.17647058823529413,0,false,true
2668122,DataTorrent/Malhar,java,557,1387407223,,1387479970,1212,,unknown,false,false,11,7,0,0,0,0,3,0,15,18,15,0,0,78,31398,739,56,44,522.453659468756,8.535575514363972,24.906044971017263,7,gauravgopi123,22,0.22727272727272727,0,false,true
2667970,DataTorrent/Malhar,java,556,1387404877,1387405678,1387405678,13,13,github,false,false,11,1,0,0,0,0,0,0,3,3,3,0,0,78,31052,73,0,9,518.2274893726652,8.405255700115934,24.79711451758341,7,davidyan-malhar,18,0.2222222222222222,1,false,true
2667767,DataTorrent/Malhar,java,554,1387402183,,1387402878,11,,unknown,false,false,11,1,0,0,0,0,0,0,1,1,0,1,0,78,31052,0,0,0,518.2274893726652,8.405255700115934,24.79711451758341,7,RashmiDR,7,0.42857142857142855,1,false,true
2667495,DataTorrent/Malhar,java,551,1387398950,1387565513,1387565513,2776,2776,commits_in_master,false,false,11,1,0,0,0,0,0,0,1,1,1,0,0,78,31052,9,0,9,518.2274893726652,8.405255700115934,24.79711451758341,7,gauravgopi123,21,0.23809523809523808,0,false,true
2666688,DataTorrent/Malhar,java,547,1387389826,1387394310,1387394310,74,74,github,false,false,11,1,0,0,0,0,0,0,2,2,2,0,0,78,31341,159,38,4,523.1166842155642,8.551099199132127,24.919434606426087,7,siyuanh,16,0.125,0,false,true
2658274,DataTorrent/Malhar,java,541,1387318604,1387318646,1387318646,0,0,commits_in_master,false,false,11,1,0,0,0,0,0,0,1,1,1,0,0,78,31052,4,0,3,518.2274893726652,8.405255700115934,24.79711451758341,7,andyperlitch,19,0.631578947368421,4,false,true
2656765,DataTorrent/Malhar,java,534,1387303985,1387304051,1387304051,1,1,commits_in_master,false,false,11,2,0,0,0,0,0,0,3,3,3,0,0,78,31052,39,0,5,518.2274893726652,8.405255700115934,24.79711451758341,7,andyperlitch,18,0.6666666666666666,4,false,true
2656391,DataTorrent/Malhar,java,533,1387300147,1387303568,1387303568,57,57,commits_in_master,false,false,11,11,0,0,0,0,1,0,14,15,12,3,0,78,31052,564,0,33,518.2274893726652,8.405255700115934,24.79711451758341,7,andyperlitch,17,0.7058823529411765,4,false,true
2652353,DataTorrent/Malhar,java,532,1387256093,1387256130,1387256130,0,0,commits_in_master,false,false,11,1,0,0,0,0,0,0,5,5,2,2,0,78,31013,46,0,5,518.879179698836,8.415825621513559,24.828297810595554,7,nickholub,22,0.45454545454545453,0,false,true
2650918,DataTorrent/Malhar,java,523,1387233351,,1387318332,1416,,unknown,false,false,11,5,5,0,5,2,4,1,9,14,10,2,0,77,31222,354,125,34,523.0606623534687,8.519633591698161,24.886298123118316,7,gauravgopi123,20,0.25,0,false,true
2649445,DataTorrent/Malhar,java,518,1387220328,1387220387,1387220387,0,0,commits_in_master,false,false,11,1,0,0,0,0,47,0,0,47,23,8,14,77,31013,1784,0,0,518.879179698836,8.415825621513559,24.828297810595554,7,nickholub,21,0.47619047619047616,0,false,true
2639970,DataTorrent/Malhar,java,509,1387057248,1387057261,1387057261,0,0,commits_in_master,false,false,11,1,0,0,0,0,0,0,3,3,2,1,0,77,31013,24,0,8,518.879179698836,8.415825621513559,24.828297810595554,7,andyperlitch,16,0.75,4,false,true
2639547,DataTorrent/Malhar,java,504,1387048829,1387048835,1387048835,0,0,commits_in_master,false,false,11,1,0,0,0,0,0,0,4,4,2,2,0,77,31013,5,0,5,518.879179698836,8.415825621513559,24.828297810595554,7,andyperlitch,15,0.8,4,false,true
2639430,DataTorrent/Malhar,java,501,1387045978,1387045988,1387045988,0,0,github,false,false,11,2,0,0,0,0,0,0,2,2,1,1,0,77,31013,2,0,2,518.879179698836,8.415825621513559,24.828297810595554,7,andyperlitch,14,0.7857142857142857,4,false,true
2637459,DataTorrent/Malhar,java,499,1386998808,,1388480069,24687,,unknown,false,false,11,1,0,4,4,2,13,0,1,14,13,1,0,77,31013,717,391,0,518.879179698836,8.415825621513559,24.828297810595554,7,milindbee,1,0.0,0,false,true
2637431,DataTorrent/Malhar,java,498,1386997845,,1386998327,8,,unknown,false,false,11,2,0,0,0,0,13,0,1,14,13,1,0,77,31013,717,391,0,518.879179698836,8.415825621513559,24.828297810595554,7,milindbee,0,0,0,false,true
2636770,DataTorrent/Malhar,java,494,1386979205,1386979274,1386979274,1,1,commits_in_master,false,false,11,2,0,0,0,0,0,0,9,9,5,3,0,77,30986,184,0,9,519.3313109146065,8.42315884593042,24.84993222745756,7,andyperlitch,13,0.8461538461538461,4,false,true
2636746,DataTorrent/Malhar,java,493,1386978716,1386979682,1386979682,16,16,commits_in_master,false,false,11,1,0,0,0,0,0,0,1,1,1,0,0,77,30986,74,0,4,519.3313109146065,8.42315884593042,24.84993222745756,7,davidyan-malhar,17,0.23529411764705882,1,false,true
2636667,DataTorrent/Malhar,java,492,1386977614,1387258327,1387258327,4678,4678,commits_in_master,false,false,11,3,0,0,0,0,0,0,4,4,3,1,0,77,30986,257,0,30,519.3313109146065,8.42315884593042,24.84993222745756,7,gauravgopi123,19,0.2631578947368421,0,false,true
2636441,DataTorrent/Malhar,java,491,1386974075,,1386978731,77,,unknown,false,false,11,1,0,0,0,0,0,0,1,1,1,0,0,77,30986,35,0,0,519.3313109146065,8.42315884593042,24.84993222745756,7,davidyan-malhar,16,0.25,1,false,true
2635955,DataTorrent/Malhar,java,487,1386969147,1386990320,1386990320,352,352,commits_in_master,false,false,11,1,0,1,1,1,0,0,21,21,21,0,0,77,30861,42,0,50,521.4348206474191,8.457276173811607,24.95058488059363,7,PramodSSImmaneni,5,0.6,0,false,true
2635205,DataTorrent/Malhar,java,483,1386961566,1387235461,1387235461,4564,4564,commits_in_master,false,false,11,4,4,1,5,2,2,0,3,5,4,0,0,77,30861,310,225,0,521.4348206474191,8.457276173811607,24.95058488059363,7,siyuanh,15,0.13333333333333333,0,false,true
2634987,DataTorrent/Malhar,java,482,1386959741,1386959791,1386959791,0,0,github,false,false,11,1,0,0,0,0,0,0,2,2,1,0,2,77,30835,33,0,12,521.874493270634,8.46440732933355,24.971623155505107,7,andyperlitch,12,0.8333333333333334,4,false,true
2634565,DataTorrent/Malhar,java,479,1386955008,1386961357,1386961357,105,105,github,false,false,11,1,0,0,0,0,0,0,1,1,1,0,0,76,30835,108,0,3,521.874493270634,8.46440732933355,24.971623155505107,7,davidyan-malhar,15,0.2,1,false,true
2634457,DataTorrent/Malhar,java,478,1386953926,,1386955046,18,,unknown,false,false,11,1,0,1,1,1,0,0,1,1,1,0,0,76,30835,103,0,0,521.874493270634,8.46440732933355,24.971623155505107,7,davidyan-malhar,14,0.21428571428571427,1,false,true
2628797,DataTorrent/Malhar,java,477,1386894416,1386894867,1386894867,7,7,commits_in_master,false,false,11,17,0,0,0,0,1,0,5,6,3,2,0,77,30835,976,0,144,521.874493270634,8.46440732933355,24.971623155505107,7,andyperlitch,11,0.9090909090909091,4,false,true
2627025,DataTorrent/Malhar,java,467,1386881203,,1386973421,1536,,unknown,false,false,11,3,0,1,1,1,3,0,4,7,3,1,0,76,30848,234,86,9,524.2803423236516,8.52567427385892,25.025933609958507,7,siyuanh,14,0.14285714285714285,0,false,true
2610675,DataTorrent/Malhar,java,458,1386819633,,1388685765,31102,,unknown,false,false,11,1,4,0,4,2,2,0,1,3,2,1,0,76,30361,147,87,0,529.6268238859062,8.596554790685419,25.361483482098745,6,ashwinchandrap,13,0.38461538461538464,0,false,true
2620122,DataTorrent/Malhar,java,456,1386809640,1386971158,1386971158,2691,2691,commits_in_master,false,false,11,5,0,2,2,2,0,0,5,5,5,0,0,76,30835,365,0,24,521.874493270634,8.46440732933355,24.971623155505107,6,gauravgopi123,18,0.2777777777777778,0,false,true
2695528,DataTorrent/Malhar,java,422,1386379571,1386640069,1386640069,4341,4341,github,false,false,11,4,0,0,0,0,1,0,3,4,3,0,0,74,30352,101,0,24,529.7838692672641,8.59910384818134,25.3690036900369,5,gauravgopi123,17,0.23529411764705882,0,false,true
2590101,DataTorrent/Malhar,java,419,1386368968,1386368974,1386368974,0,0,github,false,false,11,3,0,0,0,0,0,0,5,5,1,3,0,74,30352,6,0,19,529.7838692672641,8.59910384818134,25.3690036900369,5,nickholub,20,0.45,0,false,true
2590000,DataTorrent/Malhar,java,416,1386367621,1386368631,1386368631,16,16,github,false,false,11,2,0,0,0,0,0,0,1,1,1,0,0,74,30352,2,0,2,529.7838692672641,8.59910384818134,25.3690036900369,5,andyperlitch,10,0.9,4,false,true
2589879,DataTorrent/Malhar,java,415,1386366459,1386366554,1386366554,1,1,github,false,false,11,9,0,0,0,0,0,35,15,50,18,8,26,74,30352,3364,0,62,529.7838692672641,8.59910384818134,25.3690036900369,5,andyperlitch,9,0.8888888888888888,4,false,true
2589854,DataTorrent/Malhar,java,414,1386366156,1386366300,1386366300,2,2,github,false,false,11,1,0,0,0,0,0,0,4,4,1,2,0,74,30352,37,0,12,529.7838692672641,8.59910384818134,25.3690036900369,5,nickholub,19,0.42105263157894735,0,false,true
2589137,DataTorrent/Malhar,java,412,1386358528,1386358640,1386358640,1,1,github,false,false,11,4,0,0,0,0,0,1,5,6,4,0,2,74,30352,172,0,16,529.7838692672641,8.59910384818134,25.3690036900369,5,andyperlitch,8,0.875,4,false,true
2583917,DataTorrent/Malhar,java,409,1386292213,1386346453,1386346453,904,904,github,false,false,11,1,0,0,0,0,2,0,2,4,2,1,1,74,30352,25,0,5,529.7838692672641,8.59910384818134,25.3690036900369,5,nickholub,18,0.3888888888888889,0,false,true
2583406,DataTorrent/Malhar,java,407,1386285612,1386290945,1386290945,88,88,github,false,false,11,1,0,0,0,0,0,0,1,1,1,0,0,74,30352,2,0,10,529.7838692672641,8.59910384818134,25.3690036900369,5,gauravgopi123,16,0.1875,0,false,true
2581826,DataTorrent/Malhar,java,375,1386269535,1386269777,1386269777,4,4,github,false,false,10,4,0,0,0,0,3,2,6,11,4,1,2,74,30251,3202,0,6,528.0156027899903,8.594757198109154,25.288420217513472,5,andyperlitch,7,0.8571428571428571,4,false,true
2581811,DataTorrent/Malhar,java,374,1386269357,1386269496,1386269496,2,2,commits_in_master,false,false,10,4,0,0,0,0,3,2,6,11,4,1,2,74,30251,3202,0,6,528.0156027899903,8.594757198109154,25.288420217513472,5,andyperlitch,6,1.0,4,false,true
2576828,DataTorrent/Malhar,java,372,1386206944,1386206971,1386206971,0,0,github,false,false,10,1,0,0,0,0,0,0,1,1,0,1,0,74,30195,0,0,1,528.9948666997847,8.6106971352873,25.33532041728763,5,nickholub,17,0.35294117647058826,0,false,true
2576795,DataTorrent/Malhar,java,371,1386206583,1386206601,1386206601,0,0,github,false,false,10,1,0,0,0,0,0,0,4,4,2,1,0,75,30195,107,0,10,528.9948666997847,8.6106971352873,25.33532041728763,5,nickholub,16,0.3125,0,false,true
2576396,DataTorrent/Malhar,java,370,1386200248,1386217176,1386217176,282,282,github,false,false,10,2,0,0,0,0,0,0,1,1,1,0,0,75,30157,102,0,0,529.6614384719966,8.621547236130915,25.367244752462113,5,RashmiDR,6,0.3333333333333333,1,false,true
2576053,DataTorrent/Malhar,java,368,1386195388,1386195409,1386195409,0,0,github,false,false,10,1,0,0,0,0,0,0,3,3,2,0,1,75,30195,45,0,6,528.9948666997847,8.6106971352873,25.33532041728763,5,nickholub,15,0.26666666666666666,0,false,true
2576033,DataTorrent/Malhar,java,366,1386195036,1386195442,1386195442,6,6,github,false,false,10,2,0,0,0,0,0,0,12,12,12,0,0,75,30157,383,0,61,529.6614384719966,8.621547236130915,25.367244752462113,5,RashmiDR,5,0.2,1,false,true
2575990,DataTorrent/Malhar,java,365,1386194598,1386194734,1386194734,2,2,github,false,false,10,2,0,0,0,0,0,0,30,30,20,11,0,75,30195,221,0,41,528.9948666997847,8.6106971352873,25.33532041728763,5,andyperlitch,5,1.0,4,false,true
2574266,DataTorrent/Malhar,java,355,1386177953,1386177975,1386177975,0,0,github,false,false,10,1,0,0,0,0,1,0,7,8,8,0,0,75,30195,307,0,8,528.9948666997847,8.6106971352873,25.33532041728763,5,andyperlitch,4,1.0,4,false,true
2568994,DataTorrent/Malhar,java,352,1386108474,1386108761,1386108761,4,4,github,false,false,10,1,0,0,0,0,0,0,1,1,1,0,0,75,30192,3,0,11,529.047429782724,8.611552729199788,25.33783783783784,5,gauravgopi123,15,0.13333333333333333,0,false,true
2567940,DataTorrent/Malhar,java,351,1386098395,1386218560,1386218560,2002,2002,github,false,false,10,4,0,0,0,0,0,0,31,31,31,0,0,75,30192,386,0,0,529.047429782724,8.611552729199788,25.33783783783784,5,chandnisingh,31,0.16129032258064516,0,false,true
2562823,DataTorrent/Malhar,java,350,1386034194,1386278786,1386278786,4076,4076,github,false,false,10,4,0,2,2,2,4,1,9,14,10,0,0,75,30192,735,250,28,529.047429782724,8.611552729199788,25.33783783783784,5,chandnisingh,30,0.13333333333333333,0,false,true
2562295,DataTorrent/Malhar,java,348,1386025688,1386025701,1386025701,0,0,github,false,false,10,1,0,0,0,0,0,0,4,4,4,0,0,75,30192,21,0,4,529.047429782724,8.611552729199788,25.33783783783784,5,andyperlitch,3,1.0,4,false,true
2562278,DataTorrent/Malhar,java,347,1386025537,1386025554,1386025554,0,0,github,false,false,10,1,0,0,0,0,0,0,1,1,1,0,0,75,30192,3,0,1,529.047429782724,8.611552729199788,25.33783783783784,5,nickholub,14,0.21428571428571427,0,false,true
2562129,DataTorrent/Malhar,java,345,1386024167,1386024220,1386024220,0,0,github,false,false,10,1,0,0,0,0,0,0,1,1,0,1,0,75,30192,0,0,1,529.047429782724,8.611552729199788,25.33783783783784,5,andyperlitch,2,1.0,4,false,true
2562072,DataTorrent/Malhar,java,344,1386023569,1386023582,1386023582,0,0,github,false,false,10,1,0,0,0,0,0,0,1,1,1,0,0,75,30192,1,0,2,529.047429782724,8.611552729199788,25.33783783783784,5,andyperlitch,1,1.0,4,false,true
2561996,DataTorrent/Malhar,java,342,1386023000,1386023345,1386023345,5,5,github,false,false,10,3,0,0,0,0,0,0,3,3,1,1,0,75,30192,32,0,5,529.047429782724,8.611552729199788,25.33783783783784,5,andyperlitch,0,0,4,false,true
2554644,DataTorrent/Malhar,java,337,1386007622,1386713074,1386713074,11757,11757,commits_in_master,false,false,10,5,7,2,9,1,0,0,13,13,12,1,0,75,30195,1253,68,170,528.9948666997847,8.6106971352873,25.33532041728763,5,siyuanh,13,0.15384615384615385,0,false,true
2534209,DataTorrent/Malhar,java,336,1385600491,1385606884,1385606884,106,106,github,false,false,10,1,0,0,0,0,2,0,5,7,7,0,0,74,30734,520,0,25,527.5265178629531,8.62237261664606,25.313984512266547,5,ashwinchandrap,12,0.3333333333333333,0,false,true
2533669,DataTorrent/Malhar,java,335,1385590057,1385597090,1385597090,117,117,github,false,false,10,2,0,1,1,1,0,0,1,1,1,0,0,74,30157,102,0,0,529.6614384719966,8.621547236130915,25.367244752462113,5,RashmiDR,4,0.0,1,false,true
2527010,DataTorrent/Malhar,java,332,1385511729,1386175573,1386175573,11064,11064,commits_in_master,false,false,10,2,0,1,1,1,0,0,12,12,12,0,0,73,30044,383,0,74,531.387298628678,8.65397417121555,25.4626547729996,5,RashmiDR,3,0.0,1,false,true
2526527,DataTorrent/Malhar,java,331,1385504740,1385504769,1385504769,0,0,commits_in_master,false,false,10,1,0,0,0,0,0,0,1,1,0,1,0,73,30157,0,0,1,529.6614384719966,8.621547236130915,25.367244752462113,5,nickholub,13,0.23076923076923078,0,false,true
2520112,DataTorrent/Malhar,java,326,1385431320,1385432259,1385432259,15,15,commits_in_master,false,false,10,1,0,0,0,0,4,0,8,12,14,0,0,73,30044,563,32,11,531.5870057249368,8.65397417121555,25.4626547729996,5,chandnisingh,29,0.13793103448275862,0,false,true
2505926,DataTorrent/Malhar,java,323,1385188877,,1386097470,15143,,unknown,false,false,9,1,0,2,2,2,0,0,3,3,3,0,0,74,30044,44,0,0,531.5870057249368,8.65397417121555,25.4626547729996,5,gauravgopi123,14,0.14285714285714285,0,false,true
2499135,DataTorrent/Malhar,java,321,1385094838,1385095179,1385095179,5,5,commits_in_master,false,false,10,250,0,0,0,0,204,40,211,455,264,28,20,73,27507,41513,3159,607,563.7474097502454,9.415785072890536,27.920165775984294,5,ashwinchandrap,11,0.36363636363636365,0,false,true
2496112,DataTorrent/Malhar,java,320,1385059191,1385581176,1385581176,8699,8699,commits_in_master,false,false,11,1,0,4,4,3,0,0,1,1,1,0,0,73,30044,73,0,2,531.387298628678,8.65397417121555,25.4626547729996,5,RashmiDR,2,0.0,1,false,true
2475311,DataTorrent/Malhar,java,315,1384823756,1384823826,1384823826,1,1,commits_in_master,false,false,11,1,0,0,0,0,0,0,1,1,1,0,0,72,30042,6,0,10,531.4226749217762,8.654550296251914,25.464349910125822,4,gauravgopi123,13,0.15384615384615385,0,false,true
2473562,DataTorrent/Malhar,java,313,1384803790,1386097431,1386097431,21560,21560,commits_in_master,false,false,11,1,0,1,1,1,0,0,31,31,31,0,0,72,30042,63,0,41,531.4226749217762,8.654550296251914,25.464349910125822,4,chandnisingh,28,0.14285714285714285,0,false,true
2454116,DataTorrent/Malhar,java,310,1384480111,1384480149,1384480149,0,0,commits_in_master,false,false,11,1,0,0,0,0,0,0,1,1,1,0,0,70,30042,4,0,9,531.4226749217762,8.654550296251914,25.464349910125822,3,sashadt,7,0.42857142857142855,0,false,true
2453852,DataTorrent/Malhar,java,308,1384475944,1384476998,1384476998,17,17,commits_in_master,false,false,11,1,0,0,0,0,0,0,1,1,1,0,0,70,30022,7,0,9,524.4154286856306,8.66031576843648,25.481313703284258,3,gauravgopi123,12,0.16666666666666666,0,false,true
2452068,DataTorrent/Malhar,java,305,1384456773,1384476879,1384476879,335,335,commits_in_master,false,false,11,1,0,0,0,0,0,0,3,3,3,0,0,70,30022,78,0,17,524.4154286856306,8.66031576843648,25.481313703284258,3,siyuanh,12,0.16666666666666666,0,false,true
2446728,DataTorrent/Malhar,java,301,1384394697,1384474883,1384474883,1336,1336,commits_in_master,false,false,11,1,0,0,0,0,0,0,2,2,1,0,1,70,29853,4,0,11,524.1684252838911,8.675844973704486,25.59206779888118,3,sashadt,6,0.5,0,false,true
2438813,DataTorrent/Malhar,java,299,1384302311,1384477790,1384477790,2924,2924,commits_in_master,false,false,11,3,0,0,0,0,5,0,5,10,6,0,0,70,29853,48,862,5,524.1684252838911,8.675844973704486,25.59206779888118,3,siyuanh,11,0.18181818181818182,0,false,true
2431491,DataTorrent/Malhar,java,288,1384220654,1384220710,1384220710,0,0,commits_in_master,false,false,11,1,0,0,0,0,1,0,3,4,4,0,0,69,29426,224,0,13,522.2932100863183,8.699789301977843,25.657581730442466,3,nickholub,12,0.25,0,false,true
2431259,DataTorrent/Malhar,java,287,1384216530,1384394626,1384394626,2968,2968,commits_in_master,false,false,11,17,0,0,0,0,2,8,21,31,24,3,1,69,29426,1953,24,138,522.2932100863183,8.699789301977843,25.657581730442466,3,siyuanh,10,0.2,0,false,true
2424252,DataTorrent/Malhar,java,284,1384126716,,1385059593,15547,,unknown,false,true,11,3,0,1,1,2,0,0,1,1,1,0,0,69,25685,36,0,0,592.5637531633249,9.850107066381156,29.394588281097917,3,RashmiDR,1,0.0,1,false,true
2416025,DataTorrent/Malhar,java,282,1383949763,1384394626,1384394626,7414,7414,commits_in_master,false,false,11,18,0,0,0,0,2,8,19,29,22,3,1,69,29426,1970,24,138,522.2932100863183,8.699789301977843,25.657581730442466,3,siyuanh,9,0.2222222222222222,0,false,true
2402004,DataTorrent/Malhar,java,275,1383784251,1384272892,1384272892,8144,8144,commits_in_master,false,false,11,3,0,0,0,0,0,0,6,6,6,0,0,68,29426,44,6,58,522.2932100863183,8.699789301977843,25.657581730442466,3,gauravgopi123,11,0.18181818181818182,0,false,true
2401915,DataTorrent/Malhar,java,274,1383782739,1384273918,1384273918,8186,8186,commits_in_master,false,false,11,6,0,1,1,1,16,1,13,30,17,1,0,68,29426,967,375,11,522.2932100863183,8.699789301977843,25.657581730442466,3,chandnisingh,26,0.15384615384615385,0,false,true
2394347,DataTorrent/Malhar,java,264,1383693447,1384394626,1384394626,11686,11686,commits_in_master,false,false,11,1,0,0,0,0,3,0,0,3,3,0,0,68,29538,272,126,0,519.7711422574312,8.666802085449252,25.560295212946038,3,chandnisingh,25,0.16,0,false,true
2394234,DataTorrent/Malhar,java,263,1383692127,1383762710,1383762710,1176,1176,commits_in_master,false,false,11,2,0,0,0,0,0,0,1,1,1,0,0,67,29538,53,0,12,519.7711422574312,8.666802085449252,25.560295212946038,3,chandnisingh,24,0.16666666666666666,0,false,true
2394090,DataTorrent/Malhar,java,262,1383690362,1384394626,1384394626,11737,11737,commits_in_master,false,false,11,1,0,0,0,0,0,0,31,31,31,0,0,67,29538,63,0,51,519.7711422574312,8.666802085449252,25.560295212946038,3,chandnisingh,23,0.17391304347826086,0,false,true
2393792,DataTorrent/Malhar,java,261,1383687206,1383761603,1383761603,1239,1239,commits_in_master,false,false,11,5,0,0,0,0,0,7,15,22,20,0,0,67,29538,1869,24,107,519.7711422574312,8.666802085449252,25.560295212946038,3,gauravgopi123,10,0.2,0,false,true
2370271,DataTorrent/Malhar,java,246,1383326211,,1383615089,4814,,unknown,false,false,10,3,0,0,0,0,0,0,4,4,4,0,0,66,25685,39,0,0,592.5637531633249,9.850107066381156,29.394588281097917,3,243826,1,1.0,0,false,true
2364576,DataTorrent/Malhar,java,231,1383245092,,1383322420,1288,,unknown,false,false,10,3,0,1,1,1,2,0,2,4,4,0,0,64,29374,184,116,20,522.9114182610472,8.749234016477157,25.771090079662287,3,gauravgopi123,8,0.25,0,false,true
2357733,DataTorrent/Malhar,java,226,1383164823,1383165478,1383165478,10,10,github,false,false,10,2,0,1,1,1,0,0,2,2,2,0,0,62,29356,23,0,12,522.5166916473634,8.72053413271563,25.78689194713176,3,gauravgopi123,7,0.14285714285714285,0,false,true
2350984,DataTorrent/Malhar,java,222,1383087663,,1383782621,11582,,unknown,false,false,10,4,0,2,2,2,15,0,10,25,15,1,0,61,25685,731,333,0,592.5637531633249,9.850107066381156,29.394588281097917,3,chandnisingh,21,0.19047619047619047,0,false,true
2343541,DataTorrent/Malhar,java,218,1382996085,,1382996248,2,,unknown,false,false,10,1,0,0,0,0,1,0,2,3,3,0,0,60,26817,60,0,0,569.2284744751463,9.471603833389267,28.153783048066526,3,davidyan-malhar,11,0.18181818181818182,1,false,true
2337941,DataTorrent/Malhar,java,216,1382937219,,1382937256,0,,unknown,false,false,10,1,0,0,0,0,0,0,8,8,4,2,2,59,27661,98,0,18,554.5352662593543,9.254907631683597,27.36705108275189,3,nickholub,9,0.2222222222222222,0,false,true
2695526,DataTorrent/Malhar,java,211,1382752372,1382752403,1382752403,0,0,github,false,false,10,1,0,0,0,0,0,0,2,2,1,0,1,59,27661,2,0,5,554.5352662593543,9.254907631683597,27.36705108275189,3,nickholub,8,0.125,0,false,true
2330681,DataTorrent/Malhar,java,210,1382749784,,1382749921,2,,unknown,false,false,10,1,0,0,0,0,1,1,20,22,12,9,0,59,27661,638,0,27,554.5352662593543,9.254907631683597,27.36705108275189,3,nickholub,7,0.14285714285714285,0,false,true
2330376,DataTorrent/Malhar,java,209,1382741156,,1382741510,5,,unknown,false,false,10,3,0,0,0,0,0,4,9,13,12,1,0,58,26893,520,182,38,570.18555014316,9.519205741270962,28.14858885211765,3,davidyan-malhar,10,0.2,1,false,true
2330200,DataTorrent/Malhar,java,207,1382737985,,1382738537,9,,unknown,false,false,10,3,0,0,0,0,0,4,9,13,12,1,0,58,26893,519,182,0,570.18555014316,9.519205741270962,28.14858885211765,3,davidyan-malhar,9,0.2222222222222222,1,false,true
2328411,DataTorrent/Malhar,java,203,1382716360,1383690287,1383690287,16172,16172,merged_in_comments,false,false,10,1,0,2,2,2,0,0,31,31,31,0,0,57,25685,63,0,0,592.5637531633249,9.850107066381156,29.394588281097917,3,chandnisingh,20,0.2,0,false,true
2323319,DataTorrent/Malhar,java,202,1382646478,,1382742057,1592,,unknown,false,false,10,1,0,0,0,0,0,0,2,2,2,0,0,57,26075,62,50,2,579.4822627037393,9.77948226270374,28.57142857142857,3,ashwinchandrap,10,0.4,0,false,true
2323295,DataTorrent/Malhar,java,201,1382646128,,1382646372,4,,unknown,false,false,10,1,0,0,0,0,0,0,4,4,3,1,0,56,27659,22,0,5,554.5753642575654,9.255576846596044,27.36902997216096,3,nickholub,6,0.16666666666666666,0,false,true
2323215,DataTorrent/Malhar,java,200,1382645265,,1382645845,9,,unknown,false,false,10,1,0,0,0,0,0,0,2,2,2,0,0,56,26075,62,50,0,579.4822627037393,9.77948226270374,28.57142857142857,3,ashwinchandrap,9,0.4444444444444444,0,false,true
2322981,DataTorrent/Malhar,java,199,1382642911,,1382983260,5612,,unknown,false,false,10,2,0,0,0,0,0,0,2,2,2,0,0,56,27659,231,0,7,554.5753642575654,9.255576846596044,27.36902997216096,3,gauravgopi123,6,0.16666666666666666,0,false,true
2316880,DataTorrent/Malhar,java,197,1382574485,,1382574576,1,,unknown,false,false,10,4,0,0,0,0,0,4,5,9,7,1,1,55,26832,109,0,9,571.6681574239714,9.540846750149075,28.212581991651756,3,nickholub,5,0.2,0,false,true
2316763,DataTorrent/Malhar,java,196,1382572601,,1382573619,16,,unknown,false,false,10,1,0,1,1,1,0,0,3,3,3,0,0,54,26828,40,0,28,571.75339197853,9.542269270910989,28.21678842999851,3,chandnisingh,19,0.21052631578947367,0,false,true
2316743,DataTorrent/Malhar,java,195,1382572024,,1382572275,4,,unknown,false,false,10,1,0,0,0,0,0,4,5,9,7,1,1,54,25685,109,0,0,592.5637531633249,9.850107066381156,29.394588281097917,3,nickholub,4,0.25,0,false,true
2316465,DataTorrent/Malhar,java,193,1382567599,,1382737724,2835,,unknown,false,false,10,3,0,0,0,0,0,4,9,13,12,1,0,54,26893,519,182,0,570.18555014316,9.519205741270962,28.14858885211765,3,davidyan-malhar,8,0.25,1,false,true
2316164,DataTorrent/Malhar,java,190,1382562945,1382563263,1382563263,5,5,commits_in_master,false,false,10,30,0,0,0,0,34,7,49,90,57,8,5,53,25355,4632,666,289,592.348649181621,9.899428120686254,29.65884440938671,3,davidyan-malhar,7,0.2857142857142857,1,false,true
2315876,DataTorrent/Malhar,java,188,1382559538,1382559811,1382559811,4,4,commits_in_master,false,false,10,1,0,0,0,0,59,0,0,59,28,15,13,53,25685,5415,0,0,592.5637531633249,9.850107066381156,29.394588281097917,3,nickholub,3,0.3333333333333333,0,false,true
2313862,DataTorrent/Malhar,java,184,1382539902,,1382577401,624,,unknown,false,false,10,2,0,0,0,0,12,1,8,21,20,0,0,53,26828,2858,6,26,571.75339197853,9.542269270910989,28.21678842999851,3,gauravgopi123,5,0.2,0,false,true
2309369,DataTorrent/Malhar,java,182,1382479828,1382483867,1382483867,67,67,github,false,false,10,1,0,0,0,0,1,1,3,5,5,0,0,52,25679,326,0,29,592.7022080299078,9.852408582888742,29.401456443007906,3,chandnisingh,18,0.16666666666666666,0,false,true
2307807,DataTorrent/Malhar,java,180,1382461694,1382482940,1382482940,354,354,github,false,false,10,1,0,0,0,0,0,0,1,1,1,0,0,51,25354,1,0,2,592.3720123057506,9.89981856906208,29.660014198942967,3,davidyan-malhar,6,0.16666666666666666,1,false,true
2302250,DataTorrent/Malhar,java,176,1382392243,1382392427,1382392427,3,3,github,false,false,10,1,0,0,0,0,0,1,0,1,0,1,0,50,25685,0,0,1,592.5637531633249,9.850107066381156,29.394588281097917,3,PramodSSImmaneni,4,0.5,0,false,true
2301981,DataTorrent/Malhar,java,174,1382388183,1382388539,1382388539,5,5,github,false,false,10,1,0,0,0,0,0,0,1,1,1,0,0,50,25670,17,0,9,592.910011686794,9.855862874951306,29.41176470588235,3,chandnisingh,17,0.11764705882352941,0,false,true
2301857,DataTorrent/Malhar,java,173,1382386435,1382387492,1382387492,17,17,github,false,false,10,2,0,0,0,0,0,0,1,1,1,0,0,50,25676,33,0,18,592.7714597289297,9.853559744508491,29.40489172768344,3,chandnisingh,16,0.0625,0,false,true
2287896,DataTorrent/Malhar,java,169,1382119160,1382370160,1382370160,4183,4183,commits_in_master,false,false,10,1,0,0,0,0,0,0,1,1,1,0,0,48,25599,100,0,1,594.5544747841712,9.883198562443846,29.49333958357748,3,chandnisingh,15,0.06666666666666667,0,false,true
2287189,DataTorrent/Malhar,java,167,1382111751,,1382130047,304,,unknown,false,false,10,1,0,0,0,0,0,0,1,1,1,0,0,48,25324,67,0,5,593.0737640183225,9.911546359184964,29.69515084504818,3,davidyan-malhar,5,0.2,1,false,true
2284411,DataTorrent/Malhar,java,165,1382081737,1382136611,1382136611,914,914,commits_in_master,false,false,10,1,0,0,0,0,0,0,1,1,1,0,0,47,25599,14,0,4,594.5544747841712,9.883198562443846,29.49333958357748,3,PramodSSImmaneni,3,0.6666666666666666,0,false,true
2280402,DataTorrent/Malhar,java,159,1382021887,1385598796,1385598796,59555,59555,commits_in_master,false,false,10,1,0,0,0,1,0,0,15,15,15,0,0,46,25586,120,12,59,594.8565621824436,9.888220120378332,29.508324865160635,2,RashmiDR,0,0,1,false,true
2276472,DataTorrent/Malhar,java,158,1381969559,1382136505,1382136505,2782,2782,commits_in_master,false,false,10,4,0,2,2,2,1,0,3,4,3,0,0,46,25586,229,0,32,594.8565621824436,9.888220120378332,29.508324865160635,2,chandnisingh,14,0.07142857142857142,0,false,true
2269823,DataTorrent/Malhar,java,151,1381885351,,1381938270,881,,unknown,false,false,10,1,0,0,0,0,0,0,10,10,5,5,0,45,25324,42,0,101,593.0737640183225,9.911546359184964,29.69515084504818,2,davidyan-malhar,4,0.25,1,false,true
2269573,DataTorrent/Malhar,java,150,1381880684,1382037112,1382037112,2607,2607,commits_in_master,false,false,10,1,0,0,0,0,0,0,1,1,1,0,0,45,25586,32,0,4,594.8565621824436,9.888220120378332,29.508324865160635,2,chandnisingh,13,0.07692307692307693,0,false,true
2269523,DataTorrent/Malhar,java,149,1381879933,,1383616689,28885,,unknown,false,false,10,4,1,0,1,1,0,0,6,6,5,1,0,44,25586,78,0,0,594.8565621824436,9.888220120378332,29.508324865160635,2,siyuanh,8,0.25,0,false,true
2268576,DataTorrent/Malhar,java,143,1381866099,,1381866562,7,,unknown,false,false,10,1,0,0,0,0,0,0,4,4,4,0,0,42,25315,147,0,15,593.2846138652973,9.9150701165317,29.7057080782145,2,davidyan-malhar,3,0.3333333333333333,1,false,true
2267627,DataTorrent/Malhar,java,142,1381857021,,1381857309,4,,unknown,false,false,10,2,0,0,0,0,0,0,25,25,24,1,0,41,25288,311,53,120,594.1157861436254,9.925656437836128,29.737424865548878,2,davidyan-malhar,2,0.5,1,false,true
2267466,DataTorrent/Malhar,java,141,1381855476,1381855615,1381855615,2,2,commits_in_master,false,false,10,1,0,1,1,1,0,0,1,1,0,1,0,41,25288,0,0,16,594.1157861436254,9.925656437836128,29.737424865548878,2,davidyan-malhar,1,1.0,1,false,true
2267083,DataTorrent/Malhar,java,140,1381851244,1382035182,1382035182,3065,3065,commits_in_master,false,false,10,1,0,0,0,0,0,0,3,3,3,0,0,40,25288,24,0,15,594.1157861436254,9.925656437836128,29.737424865548878,2,chandnisingh,12,0.08333333333333333,0,false,true
2267066,DataTorrent/Malhar,java,139,1381851134,1381866874,1381866874,262,262,commits_in_master,false,false,10,3,0,0,0,0,6,0,11,17,14,0,0,40,25288,910,398,24,594.1157861436254,9.925656437836128,29.737424865548878,2,siyuanh,7,0.2857142857142857,0,false,true
2263959,DataTorrent/Malhar,java,137,1381814477,,1382026495,3533,,unknown,false,false,10,1,0,0,0,1,8,0,1,9,8,1,0,40,25288,389,44,0,594.1157861436254,9.925656437836128,29.737424865548878,2,chandnisingh,11,0.09090909090909091,0,false,true
2263100,DataTorrent/Malhar,java,136,1381796243,1381797190,1381797190,15,15,commits_in_master,false,false,10,1,0,0,0,0,0,0,1,1,1,0,0,39,25288,2,0,1,594.1157861436254,9.925656437836128,29.737424865548878,2,chandnisingh,10,0.1,0,false,true
2260509,DataTorrent/Malhar,java,134,1381762598,1382482735,1382482735,12002,12002,merged_in_comments,false,false,10,2,0,0,0,1,24,4,6,34,29,3,3,39,25289,2736,164,45,594.0922930918581,9.925263948752422,29.73624896199929,2,gauravgopi123,4,0.25,0,false,true
2248541,DataTorrent/Malhar,java,133,1381510018,,1381521660,194,,unknown,false,false,10,1,0,0,0,0,5,0,2,7,6,2,1,36,25869,494,26,5,584.0967953921681,9.857358227994897,28.79894854845568,2,ashwinchandrap,8,0.5,0,false,true
2248200,DataTorrent/Malhar,java,131,1381506931,,1382039489,8875,,unknown,false,false,10,1,0,1,1,1,0,2,0,2,4,0,0,36,25477,106,100,0,585.4692467715979,9.812772304431448,29.045806021117087,2,chandnisingh,9,0.1111111111111111,0,false,true
2234678,DataTorrent/Malhar,java,128,1381336540,1381505729,1381505729,2819,2819,commits_in_master,false,false,10,4,0,1,1,1,0,0,2,2,2,0,0,33,25490,181,21,14,585.1314240878776,9.807767752059632,29.030992546096506,2,chandnisingh,8,0.125,0,false,true
2228415,DataTorrent/Malhar,java,126,1381251016,1381252083,1381252083,17,17,github,false,false,10,1,0,0,0,0,0,0,1,1,1,0,0,30,25388,3,0,1,585.827950212699,9.80778320466362,28.9506853631637,2,PramodSSImmaneni,2,0.5,0,false,true
2228324,DataTorrent/Malhar,java,125,1381250169,,1381250226,0,,unknown,false,false,10,3,0,0,0,0,0,0,2,2,1,1,0,30,25388,3,0,0,585.827950212699,9.80778320466362,28.9506853631637,2,PramodSSImmaneni,1,1.0,0,false,true
2222096,DataTorrent/Malhar,java,122,1381164667,1381260538,1381260538,1597,1597,github,false,false,10,3,0,1,1,1,2,0,1,3,4,0,0,29,25452,156,66,0,585.2192362093352,9.822410812509823,28.877887788778878,2,chandnisingh,7,0.0,0,false,true
2218618,DataTorrent/Malhar,java,121,1381117546,,1381164295,779,,unknown,false,false,10,3,0,1,1,1,2,0,1,3,2,0,0,29,25452,159,59,0,585.2192362093352,9.822410812509823,28.877887788778878,2,chandnisingh,6,0.0,0,false,true
2211718,DataTorrent/Malhar,java,120,1380922833,1380923925,1380923925,18,18,github,false,false,10,1,0,1,1,1,1,1,1,3,3,0,0,28,25409,159,19,10,585.6979810303435,9.839033413357472,28.926758235270967,2,243826,0,0,0,false,true
2205953,DataTorrent/Malhar,java,119,1380845740,1381759834,1381759834,15234,15234,commits_in_master,false,false,10,3,0,1,1,1,3,8,12,23,26,0,0,28,25409,1315,155,20,585.6979810303435,9.839033413357472,28.926758235270967,1,chandnisingh,5,0.0,0,false,true
2202969,DataTorrent/Malhar,java,118,1380835676,,1380845011,155,,unknown,false,false,10,2,3,0,3,1,3,8,13,24,26,0,0,28,25409,1242,158,0,585.6979810303435,9.839033413357472,28.926758235270967,1,chandnisingh,4,0.0,0,false,true
2205080,DataTorrent/Malhar,java,117,1380833015,1380835267,1380835267,37,37,github,false,false,10,1,0,0,0,0,8,0,3,11,8,1,2,27,25566,474,294,9,584.29163733083,9.85684111710866,28.90557772040992,1,sashadt,5,0.4,0,false,true
2198959,DataTorrent/Malhar,java,116,1380762872,,1380832934,1167,,unknown,false,false,10,2,0,0,0,0,8,0,3,11,8,1,2,27,25566,429,278,0,584.29163733083,9.85684111710866,28.90557772040992,1,sashadt,4,0.5,0,false,true
2198916,DataTorrent/Malhar,java,115,1380761900,1380762060,1380762060,2,2,commits_in_master,false,false,10,36,0,0,0,0,38,0,27,65,53,7,5,27,24091,3441,577,168,618.3221950105848,10.294300776223485,30.384791000788677,1,sashadt,3,0.6666666666666666,0,false,true
2198655,DataTorrent/Malhar,java,114,1380758122,1381849862,1381849862,18195,18195,commits_in_master,false,false,10,1,1,1,2,1,5,0,6,11,12,0,0,27,25409,260,288,13,585.6979810303435,9.839033413357472,28.926758235270967,1,siyuanh,6,0.3333333333333333,0,false,true
2244729,DataTorrent/Malhar,java,111,1380734473,,1386097341,89321,,unknown,false,false,10,3,0,4,4,3,4,0,0,4,4,0,0,27,25409,170,275,0,585.6979810303435,9.839033413357472,28.926758235270967,1,atuldambalkar,0,0,0,false,true
2189189,DataTorrent/Malhar,java,103,1380653164,1380653598,1380653598,7,7,commits_in_master,false,false,10,1,0,0,0,0,0,0,1,1,1,0,0,26,25409,0,2,1,585.6979810303435,9.839033413357472,28.926758235270967,1,siyuanh,5,0.4,0,false,true
2188140,DataTorrent/Malhar,java,102,1380644431,1380646806,1380646806,39,39,commits_in_master,false,false,10,1,0,0,0,0,2,0,0,2,2,0,0,25,25286,73,78,0,586.8860238867358,9.728703630467452,28.79063513406628,1,chandnisingh,3,0.0,0,false,true
2188082,DataTorrent/Malhar,java,101,1380643310,,1380643805,8,,unknown,false,false,10,3,0,0,0,0,2,0,1,3,4,0,0,24,25286,77,84,0,586.8860238867358,9.728703630467452,28.79063513406628,1,chandnisingh,2,0.0,0,false,true
2183342,DataTorrent/Malhar,java,100,1380576216,,1380640510,1071,,unknown,false,false,10,2,0,1,1,1,2,0,0,2,4,0,0,24,25286,50,84,0,586.8860238867358,9.728703630467452,28.79063513406628,1,chandnisingh,1,0.0,0,false,true
2182644,DataTorrent/Malhar,java,98,1380568394,,1380572827,73,,unknown,false,false,10,3,0,0,0,0,2,0,2,4,2,0,0,24,25286,52,86,0,586.8860238867358,9.728703630467452,28.79063513406628,1,chandnisingh,0,0,0,false,true
2169699,DataTorrent/Malhar,java,96,1380329257,,1380646043,5279,,unknown,false,false,10,1,0,0,0,0,0,0,0,0,2,0,0,23,24086,55,26,0,618.1599269285061,10.296437764676575,30.30806277505605,1,ashwinchandrap,7,0.5714285714285714,0,false,true
2163832,DataTorrent/Malhar,java,94,1380239350,,1380329293,1499,,unknown,false,false,10,4,0,1,1,1,0,0,3,3,3,0,0,23,24086,67,26,0,618.1599269285061,10.296437764676575,30.30806277505605,1,ashwinchandrap,6,0.6666666666666666,0,false,true
2162334,DataTorrent/Malhar,java,93,1380219873,1380649090,1380649090,7153,7153,commits_in_master,false,false,10,3,4,0,4,3,3,0,10,13,13,1,0,23,23934,797,389,36,620.0384390406953,10.278265229380798,30.416980028411462,1,siyuanh,4,0.5,0,false,true
2157310,DataTorrent/Malhar,java,90,1380158518,1380164896,1380164896,106,106,github,false,false,10,1,0,0,0,0,0,0,0,0,2,0,0,23,24086,12,6,0,618.1599269285061,10.296437764676575,30.30806277505605,1,ashwinchandrap,5,0.6,0,false,true
2156983,DataTorrent/Malhar,java,89,1380152560,1380155398,1380155398,47,47,github,false,false,10,1,0,0,0,0,2,0,0,2,2,0,0,22,24044,78,74,0,617.7008817168525,10.27283313924472,30.277823989352854,1,ashwinchandrap,4,0.5,0,false,true
2155797,DataTorrent/Malhar,java,87,1380135402,,1380152650,287,,unknown,false,true,10,3,0,1,1,2,2,0,1,3,2,0,0,22,24044,86,74,0,617.7008817168525,10.27283313924472,30.277823989352854,1,ashwinchandrap,3,0.6666666666666666,0,false,true
2155682,DataTorrent/Malhar,java,86,1380128603,1380134270,1380134270,94,94,github,false,false,11,10,0,0,0,0,2,0,9,11,4,3,3,22,23934,29,0,53,620.0384390406953,10.278265229380798,30.416980028411462,1,nickholub,2,0.0,0,false,true
2150870,DataTorrent/Malhar,java,84,1380080991,1380119102,1380119102,635,635,github,false,false,11,2,0,0,0,0,0,0,1,1,0,1,0,20,23934,0,0,28,620.0384390406953,10.278265229380798,30.416980028411462,1,sashadt,2,0.5,0,false,true
2150412,DataTorrent/Malhar,java,81,1380068519,1380120038,1380120039,858,858,github,false,false,11,7,0,1,1,1,1,0,3,4,2,2,0,19,23947,183,0,22,620.2029481772247,10.314444398045683,30.40046769950307,1,ashwinchandrap,2,0.5,0,false,true
2695523,DataTorrent/Malhar,java,79,1380058871,1380059941,1380059941,17,17,github,false,false,11,1,0,0,0,0,15,0,0,15,3,1,3,16,23934,131,32,0,620.0384390406953,10.278265229380798,30.416980028411462,1,sashadt,1,0.0,0,false,true
2695525,DataTorrent/Malhar,java,77,1380049960,1380050557,1380050557,9,9,github,false,false,11,2,0,0,0,0,0,0,3,3,3,0,0,16,23894,75,2,16,620.992717837114,10.295471666527162,30.46789989118607,1,ashwinchandrap,1,0.0,0,false,true
2149684,DataTorrent/Malhar,java,75,1380046461,1380047915,1380047915,24,24,github,false,false,11,12,0,0,0,0,4,2,9,15,13,0,1,16,23738,1297,600,122,622.6725082146769,10.321004296907912,30.62600050551858,1,gauravgopi123,3,0.0,0,false,true
2144033,DataTorrent/Malhar,java,70,1379963291,1379979338,1379979338,267,267,github,false,false,11,1,0,8,8,2,2,0,5,7,10,0,0,14,23685,102,617,18,629.3856871437619,10.344099641123075,30.77897403419886,1,siyuanh,3,0.3333333333333333,0,false,true
2118714,DataTorrent/Malhar,java,69,1379955403,,1379957549,35,,unknown,false,false,11,18,6,0,6,1,12,5,52,69,99,1,0,14,23685,829,1075,0,629.3856871437619,10.344099641123075,30.77897403419886,1,siyuanh,2,0.5,0,false,true
2132506,DataTorrent/Malhar,java,68,1379715537,1380062638,1380062638,5785,5785,commits_in_master,false,false,11,36,0,0,0,1,21,1,31,53,22,2,7,13,23685,2180,0,81,629.3856871437619,10.344099641123075,30.77897403419886,1,nickholub,1,0.0,0,false,true
2111279,DataTorrent/Malhar,java,56,1379521992,1379630442,1379630442,1807,1807,github,true,false,10,1,3,5,8,3,6,4,9,19,36,0,0,10,23791,390,635,70,622.8405699634316,10.213946450338364,30.515741246689924,1,siyuanh,1,0.0,0,false,true
2116512,DataTorrent/Malhar,java,55,1379517395,1379520911,1379520911,58,58,github,false,false,10,4,0,2,2,1,1,4,2,7,6,0,0,9,23790,0,471,10,629.7183690626314,10.256410256410257,30.517023959646913,1,PramodSSImmaneni,0,0,0,false,true
2109755,DataTorrent/Malhar,java,49,1379443737,,1379521933,1303,,unknown,true,false,10,5,4,6,10,2,10,5,37,52,89,1,0,8,23790,661,388,0,629.7183690626314,10.256410256410257,30.517023959646913,1,siyuanh,0,0,0,false,true
2107913,DataTorrent/Malhar,java,42,1379113652,1379113681,1379113681,0,0,github,false,false,10,2,0,0,0,0,0,0,2,2,2,0,0,5,23785,2,13,5,629.472356527223,10.258566323313012,30.523439142316587,0,davidyan-malhar,0,0,0,false,true
2100400,DataTorrent/Malhar,java,31,1379004636,1379340439,1379340439,5596,5596,commits_in_master,false,false,11,1,0,0,0,0,0,0,27,27,27,0,0,2,23785,191,48,217,629.472356527223,10.258566323313012,30.523439142316587,0,tweise,1,0.0,0,false,true
2100009,DataTorrent/Malhar,java,30,1379000636,1379000894,1379000894,4,4,commits_in_master,false,false,11,1,0,0,0,0,0,0,5,5,0,5,0,1,23785,0,0,104,629.472356527223,10.258566323313012,30.523439142316587,0,tweise,0,0,0,false,true
2156777,DataTorrent/Malhar,java,23,1378742668,,1380148414,23429,,unknown,false,false,11,40,0,3,3,3,31,13,27,71,47,3,3,1,23786,6581,182,0,628.1005633565964,10.216093500378372,30.480114352980745,0,gauravgopi123,2,0.0,0,false,true
1987505,DataTorrent/Malhar,java,12,1377530216,1377532964,1377532964,45,45,commits_in_master,false,false,10,6,0,0,0,0,5,0,8,13,8,0,1,1,21981,448,220,28,625.2672762840635,9.690186979664256,32.48259860788863,0,gauravgopi123,1,0.0,0,false,true
2048196,DataTorrent/Malhar,java,1,1375464785,,1377195237,28840,,unknown,false,false,10,0,0,2,2,3,0,0,0,0,0,0,0,0,23926,0,0,0,600.8108334029926,8.986040290896932,30.38535484410265,0,gauravgopi123,0,0,0,false,true


"ID","Type","Stars","Status","Owner","Summary","Opened"
"10355","","3","Released","","change ""inline"" weblink suppliers are arbitrarily chosen from hardcoded set of link names","Jan 22, 2019"
"10354","","10","New","",">= 30s to see code review files and related changes","Jan 22, 2019"
"10353","Bug","11","Accepted","","Importer plugin does not build against the 2.16 API","Jan 22, 2019"
"10352","","2","Invalid","","git commit","Jan 21, 2019"
"10351","Feature","1","Invalid","","Ultra save power mode","Jan 21, 2019"
"10350","","7","New","","trouble with its-jira plugin on gerrit 2.16","Jan 21, 2019"
"10349","","1","Invalid","","Camera doesn't work","Jan 20, 2019"
"10348","","7","New","","Repository filter ""swallows"" charaters when typed fast","Jan 19, 2019"
"10347","Feature","8","AwaitingInformation","","[SUGGESTION] Repository browser improvements","Jan 19, 2019"
"10346","Bug","2","Submitted","","New commit-msg hook breaks ""git commit -v""","Jan 19, 2019"
"10345","Feature","7","New","","Option to limit reviewers-by-blame to new users","Jan 19, 2019"
"10344","","3","Released","","Patch Links (gitiles) is not resolved correctly when baseUrl contains a component in PolyGerrit","Jan 19, 2019"
"10343","Bug","6","Accepted","","Index schema versioning: Add support for minor schema upgrades","Jan 19, 2019"
"10342","","8","New","","error 502 loading diff view","Jan 19, 2019"
"10340","Feature","7","New","","Add review by blame of CR+2","Jan 19, 2019"
"10339","Feature","7","New","","reviewers-by-blame should not readd reviewers who have removed themselves","Jan 19, 2019"
"10338","Feature","9","Accepted","","Warn if someone is @mentioned or mentioned@ in message but not reviewer/cc","Jan 19, 2019"
"10337","Bug","7","ChangeUnderReview","","Support a ""Suggest Reviewer"" button in reviewers-by-blame","Jan 18, 2019"
"10336","Bug","2","Submitted","thoma...@yahoo.com","Reviewers-by-blame: Use batch mode for adding reviewers","Jan 18, 2019"
"10335","","2","WontFix","","Notifications with WIP ","Jan 18, 2019"
"10334","Feature","4","Submitted","","Make gitiles-plugin a core gerrit plugin","Jan 18, 2019"
"10332","","6","New","","change the CL number link at the top left to use a https://crrev.com/c/ style link","Jan 18, 2019"
"10331","Bug","2","Submitted","","Fix support for master in reviewers-by-blame","Jan 18, 2019"
"10329","Feature","6","New","","Make it easier to persist the state of large reviews","Jan 18, 2019"
"10328","Feature","8","ChangeUnderReview","","Use a specified account for adding reviewers in reviewers-by-blame","Jan 18, 2019"
"10327","","6","New","","emoji in code review comments handled very suboptimally","Jan 18, 2019"
"10326","Bug","3","Released","","calling /projects/ endpoint on a 2.15 and 2.16 causes an explosion of memory usage","Jan 18, 2019"
"10325","Bug","6","New","","Superproject subscription works after topic which has removal of submodule","Jan 17, 2019"
"10324","Bug","2","Released","","Repository still listed after deletion - requires page reload (F5)","Jan 17, 2019"
"10323","Feature","1","WontFix","","Analytics Dashboard importer dump kibana data and settings","Jan 17, 2019"
"10322","Bug","7","New","luca....@gmail.com","Gerrit projects are reindexed during init when there is no need for it","Jan 17, 2019"
"10321","Feature","2","Submitted","synto...@gmail.com","Allow plugin healthcheck to format response in prometheus format","Jan 17, 2019"
"10320","Bug","1","Submitted","","Deleting project fails with HTTP 404 w/ bundled delete-project plugin","Jan 17, 2019"
"10319","Bug","1","WontFix","synto...@gmail.com","ETL Dashboard importer - persist filters when navigating through dashboards","Jan 17, 2019"
"10318","Feature","6","ChangeUnderReview","","Add support for exempting users from reviewers-by-blame","Jan 17, 2019"
"10317","Bug","2","Released","","""Same Topic"" section is shown on change screen when there is only one change (the current change)","Jan 17, 2019"
"10316","Feature","3","Submitted","fabio...@gmail.com","Create subcommand graphs","Jan 17, 2019"
"10315","","6","New","jmad...@chromium.org","Comments don't seem to be able to select regions of text in PolyGerrit any more","Jan 17, 2019"
"10313","Bug","6","New","","Multi-line code snippet doesn’t show up in generated e-mail when commented on","Jan 16, 2019"
"10312","","6","Incomplete","","Badly constructed Gitweb link.","Jan 16, 2019"
"10311","","8","New","","502 error HTML injected into code review as text","Jan 16, 2019"
"10310","","6","New","","Comments made in the base file are not showing up in further diffs","Jan 16, 2019"
"10309","","5","Released","thoma...@yahoo.com","Not able to override default query limit for a group from UI","Jan 16, 2019"
"10308","","7","New","","Names with accented characters not matched when typing non-accented characters","Jan 16, 2019"
"10307","Feature","5","Submitted","fabio...@gmail.com","Auditlog plugin generates pregress audit logs","Jan 16, 2019"
"10306","Feature","6","New","","Configure in refs/meta/config branch of All-Projects, could be added as another configuration option","Jan 16, 2019"
"10305","Feature","6","New","","Notify the User and or Admin when a warning limit is reached","Jan 16, 2019"
"10304","Feature","6","New","","REST API for the ssh commands introduced here since we can't use ssh in the cloud","Jan 16, 2019"
"10303","Feature","6","New","","Display permits used instead of or in addition to permits available","Jan 16, 2019"
"10302","Feature","6","New","","Instead of hard coding the time interval the rate is limiting, make it configurable","Jan 16, 2019"
"10301","Feature","6","New","","Add readable texts to the rate limit type enum, to be reused in messages","Jan 15, 2019"
"10300","Feature","5","New","","Add the RateLimiter to the exception so that its configuration can be accessed","Jan 15, 2019"
"10299","Feature","5","New","","Consider the emerging quota(s) framework in/from master","Jan 15, 2019"
"10298","","6","New","","Sticky top header bar results in worse UX than a fixed top bar","Jan 15, 2019"
"10297","Feature","5","New","","Provide a way to get all hashtags used on a project","Jan 15, 2019"
"10296","","8","New","","Gerrit @ googlesource is slow","Jan 15, 2019"
"10295","","7","New","","Condense sets of trivial rebase by default or with option","Jan 15, 2019"
"10294","Feature","2","WontFix","","No edit button for files in the new UI","Jan 15, 2019"
"10293","Bug","2","Released","vapier@chromium.org","repo sync says ""ValueError: generator already executing"" when running in parallel","Jan 13, 2019"
"10292","","6","New","","gerrit pages needs lots of ram","Jan 12, 2019"
"10290","","1","Invalid","","لا استطيع تسجيل دخول لحساب gmail","Jan 12, 2019"
"10289","Bug","5","Accepted","","Potentially missing implementations for {GroupReindexRunnable|ProjectReindexRunnable}::indexIfNeeded","Jan 12, 2019"
"10288","","5","New","","new gerrit docker cannot restart, what a disaster.......","Jan 11, 2019"
"10287","","5","New","","Default editor and diff settings ignored for anonymous settings","Jan 11, 2019"
"10286","Bug","5","AwaitingInformation","","/register under polygerrit causing redirect loop","Jan 11, 2019"
"10285","Bug","5","New","","gr-registration-dialog is broken","Jan 11, 2019"
"10284","Feature","8","Accepted","tiago...@gmail.com","Setup HA Gerrit test environment on Google kubernetes engine","Jan 11, 2019"
"10283","Bug","6","New","","Add default colour to header (and footer?)","Jan 10, 2019"
"10282","Bug","6","New","","Display checkerboard background ""under"" images that have some transparency","Jan 10, 2019"
"10281","Bug","7","Released","jbl...@redhat.com","XSRF token not set when requesting root path ""/""","Jan 10, 2019"
"10280","Bug","7","New","","Prevent pushing empty commits (notes) and refs/changes/***/meta","Jan 10, 2019"
"10279","","6","Released","","Syntax highlighting broken for Dart files","Jan 10, 2019"
"10278","Bug","6","New","","uploadvalidator plugin detects plain-text file as application/octet-stream","Jan 10, 2019"
"10277","Feature","5","Duplicate","","Please offer sticky comments, or present comments on 'base' revision.","Jan 10, 2019"
"10276","Bug","7","Started","synto...@gmail.com","Anomalous increase in thread consumption","Jan 10, 2019"
"10275","Bug","6","New","","migrate gerrit docker to another server failed(Maybe noteDb resulted in this issue)","Jan 9, 2019"
"10274","","3","Duplicate","","Settings does not work on PolyGerrit UI with enableGwtUi = false","Jan 9, 2019"
"10272","","6","New","","On large CL it shows an error message when loading","Jan 9, 2019"
"10271","Bug","6","ChangeUnderReview","","GitHub plugin: implement bazel build","Jan 9, 2019"
"10270","","5","New","","Per-character changes not being highlighted in some files","Jan 9, 2019"
"10268","Feature","7","New","","Add support for forcing replication of a certain repo","Jan 8, 2019"
"10267","","1","Released","","No Syntax Highlighting for Groovy with PolyGerrit","Jan 8, 2019"
"10266","","6","New","","Dissociate my old google.com account from my personal account","Jan 7, 2019"
"10265","Bug","9","New","","NullPointerException when deleting a draft comment","Jan 7, 2019"
"10264","","5","New","","BROWSE - Repositories Filter Fails","Jan 7, 2019"
"10263","Bug","1","Released","","Cannot get change edit ref using the API","Jan 7, 2019"
"10262","Bug","2","Released","","AdvertiseRefsHook is not called for git-upload-pack in protocol v0 stateless transports","Jan 7, 2019"
"10261","Feature","6","New","","Allow users to keep the repo on github in sync with gerrit (or vice versa)","Jan 7, 2019"
"10260","Bug","2","Released","luca....@gmail.com","Replication events are lost when configuration gets reloaded","Jan 6, 2019"
"10259","","1","Invalid","","?","Jan 5, 2019"
"10258","","1","Duplicate","","Upgrade from 2.13.6 -> 2.16.2 fails","Jan 5, 2019"
"10257","","4","New","","Un-expanding long files puts the screen position too low","Jan 5, 2019"
"10256","Bug","4","New","","Invalid owner definition causes inherited owners to be silently dropped","Jan 5, 2019"
"10255","Feature","1","Invalid","","4g/LTE only","Jan 5, 2019"
"10254","","4","New","","UI does not or not always report which changes in a series have been pushed","Jan 5, 2019"
"10252","Feature","1","Submitted","fabio...@gmail.com","Add ""user_type"" in auditlog index definition ","Jan 4, 2019"
"10251","Feature","1","Duplicate","","avoir une valeur par défaut pour le bouton ""only comments' au niveau des change log lors de la review","Jan 4, 2019"
"10250","","4","New","","An error occurred -- Account %emailaddress% is not found or ambiguous","Jan 4, 2019"
"10249","Bug","6","Untriaged","","Changes to ToT between 2 different patch-sets show up as a diff between the patch-sets","Apr 14, 2018"
"10248","Bug","9","Released","","Schema migration 2.14 -> 2.16 fails","Jan 4, 2019"

"material","type","subtype","energyPerMass","massCO2PerMass","massCO2ePerMass","boundary","note","units","source"
"Aggregate","General","Gravel or crushed rock",0.083,0.005,0.005,"Cradle to gate","Estimated from measured UK industrial fuel consumption data",,"http://people.bath.ac.uk/cj219/"
"Aluminium","Cast products","Average",159.335,8.285,9.220,"Cradle to gate","Worldwide average recycled content of 33%.",,"http://people.bath.ac.uk/cj219/"
"Aluminium","Cast products","Recycled",25.000,1.350,1.450,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Aluminium","Cast products","Virgin",225.500,11.700,13.100,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Aluminium","Extruded","Average",154.265,8.157,9.080,"Cradle to gate","Worldwide average recycled content of 33%.",,"http://people.bath.ac.uk/cj219/"
"Aluminium","Extruded","Recycled",34.000,1.980,2.120,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Aluminium","Extruded","Virgin",213.500,11.200,12.500,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Aluminium","General","Average",155.000,8.236,9.160,"Cradle to gate","Assumed (UK) ratio of 25.6% extrusions, 55.7% Rolled and 18.7% castings. Worldwide average recycled content of 33%.",,"http://people.bath.ac.uk/cj219/"
"Aluminium","General","Recycled",29.000,1.690,1.810,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Aluminium","General","Virgin",217.694,11.461,12.790,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Aluminium","Rolled","Average",155.000,8.256,9.180,"Cradle to gate","Worldwide average recycled content of 33%.",,"http://people.bath.ac.uk/cj219/"
"Aluminium","Rolled","Recycled",28.000,1.670,1.790,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Aluminium","Rolled","Virgin",217.000,11.500,12.800,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Asbestos",,,7.400,,,"Not specified","Ref. 4.",,"http://people.bath.ac.uk/cj219/"
"Asphalt","4% binder content by mass",,2.860,0.059,0.066,"Cradle to gate","1.68 MJ/kg Feedstock Energy (Included). Modelled from the bitumen binder content. The fuel consumption of asphalt mixing operations was taken from the Mineral Products Association (MPA). It represents typical UK industrial data.",,"http://people.bath.ac.uk/cj219/"
"Asphalt","5% binder content by mass",,3.390,0.064,0.071,"Cradle to gate","2.10 MJ/kg Feedstock Energy (Included). Modelled from the bitumen binder content. The fuel consumption of asphalt mixing operations was taken from the Mineral Products Association (MPA). It represents typical UK industrial data.",,"http://people.bath.ac.uk/cj219/"
"Asphalt","6% binder content by mass",,3.930,0.068,0.076,"Cradle to gate","2.52 MJ/kg Feedstock Energy (Included). Modelled from the bitumen binder content. The fuel consumption of asphalt mixing operations was taken from the Mineral Products Association (MPA). It represents typical UK industrial data.",,"http://people.bath.ac.uk/cj219/"
"Asphalt","7% binder content by mass",,4.460,0.072,0.081,"Cradle to gate","2.94 MJ/kg Feedstock Energy (Included). Modelled from the bitumen binder content. The fuel consumption of asphalt mixing operations was taken from the Mineral Products Association (MPA). It represents typical UK industrial data.",,"http://people.bath.ac.uk/cj219/"
"Asphalt","8% binder content by mass",,5.000,0.076,0.086,"Cradle to gate","3.36 MJ/kg Feedstock Energy (Included). Modelled from the bitumen binder content. The fuel consumption of asphalt mixing operations was taken from the Mineral Products Association (MPA). It represents typical UK industrial data.",,"http://people.bath.ac.uk/cj219/"
"Bitumen","General","Lower",51.000,0.380,0.430,"Cradle to gate","42 MJ/kg Feedstock Energy  (Included).  Feedstock assumed to be typical energy content of Bitumen. Carbon dioxide emissions are particularly difficult to estimate; range given.",,"http://people.bath.ac.uk/cj219/"
"Bitumen","General","Mean",51.000,0.405,0.490,"Cradle to gate","42 MJ/kg Feedstock Energy  (Included).  Feedstock assumed to be typical energy content of Bitumen. Carbon dioxide emissions are particularly difficult to estimate; range given.",,"http://people.bath.ac.uk/cj219/"
"Bitumen","General","Upper",51.000,0.430,0.550,"Cradle to gate","42 MJ/kg Feedstock Energy  (Included).  Feedstock assumed to be typical energy content of Bitumen. Carbon dioxide emissions are particularly difficult to estimate; range given.",,"http://people.bath.ac.uk/cj219/"
"Brass","General","Average",44.000,2.460,2.640,"Cradle to gate","Poor data availability. It is believed that the data may be largely dependent upon ore grade.  Poor carbon data making estimate of embodied carbon difficult.",,"http://people.bath.ac.uk/cj219/"
"Brass","General","Recycled",20.000,1.120,1.200,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Brass","General","Virgin",80.000,4.470,4.800,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Bricks","General","Common Brick",3.000,0.230,0.240,"Cradle to gate","Assuming 2.3 kg per brick.",,"http://people.bath.ac.uk/cj219/"
"Bricks","Limestone",,0.850,,,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Bronze","General",,69.000,3.730,4.000,"Not specified","Average of the only two references",,"http://people.bath.ac.uk/cj219/"
"Calcium silicate sheet",,,2.000,0.130,,"Not specified","Ref. 55.",,"http://people.bath.ac.uk/cj219/"
"Carpet","Felt underlay","Hair and Jute",19.000,0.970,,"Cradle to grave","Ref. 94.",,"http://people.bath.ac.uk/cj219/"
"Carpet","General",,74.000,3.900,,"Cradle to grave","For per square meter estimates see material profile. Difficult to estimate; taken from Ref. 94.",,"http://people.bath.ac.uk/cj219/"
"Carpet","Nylon (Polyamide)","Pile weight 1100 g/m2",122.152,6.873,6.873,"Cradle to grave","Total weight of this carpet 2,677 g/m2. See Refs. 277 and 279. These carpets (inc. below) are a tufted surface pile made of 100% nylon (polyamide) with a woven textile backing and flame proofed on the basis of aluminium hydroxide.",,"http://people.bath.ac.uk/cj219/"
"Carpet","Nylon (Polyamide)","Pile weight 300 g/m2",88.016,4.536,4.536,"Cradle to grave","Total weight of this carpet 1477 g/m2. See Refs. 277 and 279. These carpets (inc. below) are a tufted surface pile made of 100% nylon (polyamide) with a woven textile backing and flame proofed on the basis of aluminium hydroxide.",,"http://people.bath.ac.uk/cj219/"
"Carpet","Nylon (Polyamide)","Pile weight 500 g/m2",97.986,5.280,5.280,"Cradle to grave","Total weight of this carpet 1837 g/m2. See Refs. 277 and 279. These carpets (inc. below) are a tufted surface pile made of 100% nylon (polyamide) with a woven textile backing and flame proofed on the basis of aluminium hydroxide.",,"http://people.bath.ac.uk/cj219/"
"Carpet","Nylon (Polyamide)","Pile weight 700 g/m2",107.126,5.915,5.915,"Cradle to grave","Total weight of this carpet 2147 g/m2. See Refs. 277 and 279. These carpets (inc. below) are a tufted surface pile made of 100% nylon (polyamide) with a woven textile backing and flame proofed on the basis of aluminium hydroxide.",,"http://people.bath.ac.uk/cj219/"
"Carpet","Nylon (Polyamide)","Pile weight 900 g/m2",114.133,6.428,6.428,"Cradle to grave","Total weight of this carpet 2,427 g/m2. See Refs. 277 and 279. These carpets (inc. below) are a tufted surface pile made of 100% nylon (polyamide) with a woven textile backing and flame proofed on the basis of aluminium hydroxide.",,"http://people.bath.ac.uk/cj219/"
"Carpet","Nylon (Polyamide) tiles","Pile weight 1100 g/m2",73.785,3.845,3.845,"Cradle to grave","Total weight of this carpet 5,123 g/m2. See Refs. 277 and 279. These carpet tiles (inc. below) are a tufted surface pile made of 100% nylon (polyamide) fleece-covered bitumen backing and flame-proofed on the basis of aluminium hydroxide",,"http://people.bath.ac.uk/cj219/"
"Carpet","Nylon (Polyamide) tiles","Pile weight 300 g/m2",43.172,1.880,1.880,"Cradle to grave","Total weight of this carpet 4,123 g/m2. See Refs. 277 and 279. These carpet tiles (inc. below) are a tufted surface pile made of 100% nylon (polyamide) fleece-covered bitumen backing and flame-proofed on the basis of aluminium hydroxide",,"http://people.bath.ac.uk/cj219/"
"Carpet","Nylon (Polyamide) tiles","Pile weight 500 g/m2",52.367,2.447,2.447,"Cradle to grave","Total weight of this carpet 4,373 g/m2. See Refs. 277 and 279. These carpet tiles (inc. below) are a tufted surface pile made of 100% nylon (polyamide) fleece-covered bitumen backing and flame-proofed on the basis of aluminium hydroxide",,"http://people.bath.ac.uk/cj219/"
"Carpet","Nylon (Polyamide) tiles","Pile weight 700 g/m2",60.350,2.963,2.963,"Cradle to grave","Total weight of this carpet 4,623 g/m2. See Refs. 277 and 279. These carpet tiles (inc. below) are a tufted surface pile made of 100% nylon (polyamide) fleece-covered bitumen backing and flame-proofed on the basis of aluminium hydroxide",,"http://people.bath.ac.uk/cj219/"
"Carpet","Nylon (Polyamide) tiles","Pile weight 900 g/m2",67.310,3.427,3.427,"Cradle to grave","Total weight of this carpet 4,873 g/m2. See Refs. 277 and 279. These carpet tiles (inc. below) are a tufted surface pile made of 100% nylon (polyamide) fleece-covered bitumen backing and flame-proofed on the basis of aluminium hydroxide",,"http://people.bath.ac.uk/cj219/"
"Carpet","Polyethylterepthalate (PET)",,106.500,5.560,,"Cradle to grave","Includes feedstock energy",,"http://people.bath.ac.uk/cj219/"
"Carpet","Polypropylene",,95.400,4.980,,"Cradle to grave","Includes feedstock energy, for per square meter see material profile",,"http://people.bath.ac.uk/cj219/"
"Carpet","Polyurethane",,72.100,3.760,,"Cradle to grave","Includes feedstock energy",,"http://people.bath.ac.uk/cj219/"
"Carpet","Rubber","Lower",67.500,3.610,,"Cradle to grave",,,"http://people.bath.ac.uk/cj219/"
"Carpet","Rubber","Mean",103.750,5.545,,"Cradle to grave",,,"http://people.bath.ac.uk/cj219/"
"Carpet","Rubber","Upper",140.000,7.480,,"Cradle to grave",,,"http://people.bath.ac.uk/cj219/"
"Carpet","Saturated felt underlay","Impregnated with asphalt or tar",31.700,1.650,,"Cradle to grave","Ref. 94.",,"http://people.bath.ac.uk/cj219/"
"Carpet","Wool",,106.000,5.530,,"Cradle to grave","For per square meter see material profile. See Refs. 63, 201, 202 and 281 (Same author).",,"http://people.bath.ac.uk/cj219/"
"Carpet grout",,,30.800,,,"Not specified","Ref. 169.",,"http://people.bath.ac.uk/cj219/"
"Cement","21-35% fly ash (CEM II/B-V)","21% fly ash",4.450,0.740,0.750,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","21-35% fly ash (CEM II/B-V)","35% fly ash",3.680,0.610,0.620,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","21-35% fly ash (CEM II/B-V)","Mean",4.065,0.675,0.685,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","21-35% GGBS (CEM II/B-S)","21% GGBS",4.770,0.760,0.770,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","21-35% GGBS (CEM II/B-S)","35% GGBS",4.210,0.640,0.650,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","21-35% GGBS (CEM II/B-S)","Mean",4.490,0.700,0.710,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","36-65% GGBS (CEM III/A)","36% GGBS",4.170,0.630,0.640,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","36-65% GGBS (CEM III/A)","65% GGBS",3.000,0.380,0.390,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","36-65% GGBS (CEM III/A)","Mean",3.585,0.505,0.515,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","6-20% fly ash (CEM II/A-V)","20% fly ash",4.510,0.750,0.760,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","6-20% fly ash (CEM II/A-V)","6% fly ash",5.280,0.880,0.890,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","6-20% fly ash (CEM II/A-V)","Mean",4.895,0.815,0.825,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","66-80% GGBS (CEM II/B)","66% GGBS",2.960,0.370,0.380,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","66-80% GGBS (CEM II/B)","80% GGBS",2.400,0.250,0.260,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","66-80% GGBS (CEM II/B)","Mean",2.680,0.310,0.320,"Cradle to gate","See material profile for further details.",,"http://people.bath.ac.uk/cj219/"
"Cement","Average CEM I Portland Cement (94% Clinker)",,5.500,0.930,0.950,"Cradle to gate","This is a standard cement with no cementitious additions (i.e. fly ash or blast furnace slag). Composition 94% clinker, 5% gypsum, 1% minor additional constituents (mac's). This data has been estimated from the British Cement Association's factsheets.",,"http://people.bath.ac.uk/cj219/"
"Cement","Cement stabilised soil",5%,0.680,0.060,0.061,"Cradle to gate","Assumed 5% cement content.",,"http://people.bath.ac.uk/cj219/"
"Cement","Cement stabilised soil",8%,0.830,0.082,0.084,"Cradle to gate","Assumed 8% stabiliser contents (6% cement and 2% quicklime)",,"http://people.bath.ac.uk/cj219/"
"Cement","Fibre Cement  Panels","Coated",15.300,1.280,,"Cradle to gate","Few data points. Selected data modified from Ref. 107.",,"http://people.bath.ac.uk/cj219/"
"Cement","Fibre Cement Panels","Uncoated",10.400,1.090,,"Cradle to gate","Few data points. Selected data modified from Ref. 107.",,"http://people.bath.ac.uk/cj219/"
"Cement","General","UK weighted average",4.510,0.730,0.740,"Cradle to gate","Weighted average of all cement consumed within the UK. This includes all factory made cements (CEM I, CEM II, CEM III, CEM IV) and further blending of fly ash and ground granulated blast furnace slag.",,"http://people.bath.ac.uk/cj219/"
"Cement","Mortar","1:0.5:4.5 cement:lime:sand mix",1.340,0.200,0.213,"Cradle to gate","Values estimated from the ICE Cement, Mortar and Concrete Model",,"http://people.bath.ac.uk/cj219/"
"Cement","Mortar","1:1:6 cement:lime:sand mix",1.110,0.163,0.174,"Cradle to gate","Values estimated from the ICE Cement, Mortar and Concrete Model",,"http://people.bath.ac.uk/cj219/"
"Cement","Mortar","1:2:9 cement:lime:sand mix",1.030,0.145,0.155,"Cradle to gate","Values estimated from the ICE Cement, Mortar and Concrete Model",,"http://people.bath.ac.uk/cj219/"
"Cement","Mortar","1:3 cement:sand mix",1.330,0.208,0.221,"Cradle to gate","Values estimated from the ICE Cement, Mortar and Concrete Model",,"http://people.bath.ac.uk/cj219/"
"Cement","Mortar","1:4 cement:sand mix",1.110,0.171,0.182,"Cradle to gate","Values estimated from the ICE Cement, Mortar and Concrete Model",,"http://people.bath.ac.uk/cj219/"
"Cement","Mortar","1:5 cement:sand mix",0.970,0.146,0.156,"Cradle to gate","Values estimated from the ICE Cement, Mortar and Concrete Model",,"http://people.bath.ac.uk/cj219/"
"Cement","Mortar","1:6 cement:sand mix",0.850,0.127,0.136,"Cradle to gate","Values estimated from the ICE Cement, Mortar and Concrete Model",,"http://people.bath.ac.uk/cj219/"
"Ceramics","Fittings",,20.000,1.070,1.140,"Cradle to gate","Ref. 1.",,"http://people.bath.ac.uk/cj219/"
"Ceramics","General",,10.000,0.660,0.700,"Cradle to gate","Very large data range, difficult to select values for general ceramics.",,"http://people.bath.ac.uk/cj219/"
"Ceramics","Sanitary products",,29.000,1.510,1.610,"Cradle to gate","Limited data.",,"http://people.bath.ac.uk/cj219/"
"Ceramics","Tiles and cladding panels",,12.000,0.740,0.780,"Cradle to gate","Difficult to select, large range, limited data. See Ref. 292.",,"http://people.bath.ac.uk/cj219/"
"Chromium",,,83.000,5.390,,"Not specified","Ref. 22.",,"http://people.bath.ac.uk/cj219/"
"Clay","General (simple baked products)",,3.000,0.230,0.240,"Cradle to gate","General simple baked clay products (inc. terracotta and bricks)",,"http://people.bath.ac.uk/cj219/"
"Clay","Tile",,6.500,0.450,0.480,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Clay","Vitrified clay pipe","DN 100",6.200,0.438,0.460,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Clay","Vitrified clay pipe","DN 150",6.200,0.438,0.460,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Clay","Vitrified clay pipe","DN 200",7.000,0.478,0.500,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Clay","Vitrified clay pipe","DN 300",7.000,0.478,0.500,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Clay","Vitrified clay pipe","DN 500",7.900,0.519,0.550,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Copper","EU Tube and Sheet","Average",42.000,2.600,2.710,"Cradle to gate","EU production data, estimated from Kupfer Institut LCI data. 37% recycled content (the 3 year world average). World average data is expected to be higher than these values.",,"http://people.bath.ac.uk/cj219/"
"Copper","EU Tube and Sheet","Recycled",16.500,0.800,0.840,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Copper","EU Tube and Sheet","Virgin",57.000,3.650,3.810,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Copper","Recycled from high grade scrap",,18.000,1.100,,"Cradle to gate","Uncertain, difficult to estimate with the data available.",,"http://people.bath.ac.uk/cj219/"
"Copper","Recycled from low grade scrap",,50.000,3.100,,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Cotton","Fabric",,143.000,6.780,,"Not specified","Ref. 38.",,"http://people.bath.ac.uk/cj219/"
"Cotton","Padding",,27.100,1.280,,"Not specified","Ref. 38.",,"http://people.bath.ac.uk/cj219/"
"Damp proof course/membrane",,,134.000,4.200,,"Not specified","Uncertain estimate.",,"http://people.bath.ac.uk/cj219/"
"Felt","General",,36.000,,,"Not specified",,,"http://people.bath.ac.uk/cj219/"
"Flax",,,33.500,1.700,,"Not specified","Ref. 2.",,"http://people.bath.ac.uk/cj219/"
"Fly Ash",,,0.100,0.008,,"Not specified","No allocation from fly ash producing system.",,"http://people.bath.ac.uk/cj219/"
"Glass","Fibreglass","Glasswool",28.000,1.540,,"Cradle to gate","Large data range, but the selected value is inside a small band of frequently quoted values.",,"http://people.bath.ac.uk/cj219/"
"Glass","Primary Glass",,15.000,0.860,0.910,"Cradle to gate","Includes process CO2 emissions from primary glass manufacture.",,"http://people.bath.ac.uk/cj219/"
"Glass","Secondary Glass",,11.500,0.550,0.590,"Cradle to gate","EE estimated from Ref 115.",,"http://people.bath.ac.uk/cj219/"
"Glass","Toughened",,23.500,1.270,1.350,"Cradle to gate","Only three data sources",,"http://people.bath.ac.uk/cj219/"
"Glass reinforced plastic / fibreglass",,,100.000,8.100,,"Not specified","Ref. 1.",,"http://people.bath.ac.uk/cj219/"
"Grit",,,0.115,0.007,,"Not specified","Ref. 114.",,"http://people.bath.ac.uk/cj219/"
"Ground limestone",,,0.620,0.032,,"Not specified",,,"http://people.bath.ac.uk/cj219/"
"Insulation","Cellular Glass",,27.000,,,"Unknown","Ref. 54.",,"http://people.bath.ac.uk/cj219/"
"Insulation","Cellulose","Lower",0.940,,,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Insulation","Cellulose","Mean",2.120,,,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Insulation","Cellulose","Upper",3.300,,,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Insulation","Cork",,4.000,0.190,,"Cradle to gate","Ref. 55.",,"http://people.bath.ac.uk/cj219/"
"Insulation","Fibreglass","Glasswool",28.000,1.350,,"Cradle to site","Poor data difficult to select appropriate value",,"http://people.bath.ac.uk/cj219/"
"Insulation","Flax","Insulation",39.500,1.700,,"Cradle to grave","Ref. 2. 5.97 MJ/kg Feedstock Energy  (Included)",,"http://people.bath.ac.uk/cj219/"
"Insulation","General Insulation",,45.000,1.860,,"Cradle to gate","Estimated from typical market shares. Feedstock Energy 16.5 MJ/kg  (Included)",,"http://people.bath.ac.uk/cj219/"
"Insulation","Mineral wool",,16.600,1.200,1.280,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Insulation","Paper wool",,20.170,0.630,,"Cradle to grave","Ref. 2",,"http://people.bath.ac.uk/cj219/"
"Insulation","Rockwool",,16.800,1.050,1.120,"Cradle to grave","Cradle to Grave",,"http://people.bath.ac.uk/cj219/"
"Insulation","Woodwool","Board",20.000,0.980,,"Cradle to gate","Ref. 55.",,"http://people.bath.ac.uk/cj219/"
"Insulation","Woodwool","Loose",10.800,,,"Cradle to gate","Ref. 205.",,"http://people.bath.ac.uk/cj219/"
"Insulation","Wool","Recycled",20.900,,,"Cradle to gate","Refs. 63, 201, 202 and 281.",,"http://people.bath.ac.uk/cj219/"
"Iron","General",,25.000,1.910,2.032,"Cradle to gate","It was difficult to estimate the embodied energy and carbon of iron with the data available.",,"http://people.bath.ac.uk/cj219/"
"Lead","General","Average",25.210,1.570,1.668,"Cradle to gate","Allocated (divided) on a mass basis, assumes recycling rate of 61%",,"http://people.bath.ac.uk/cj219/"
"Lead","General","Recycled",10.000,0.540,0.580,"Cradle to gate","Scrap batteries are a main feedstock for recycled lead",,"http://people.bath.ac.uk/cj219/"
"Lead","General","Virgin",49.000,3.180,3.370,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Lime","General",,5.300,0.760,0.780,"Cradle to gate","Embodied carbon was difficult to estimate",,"http://people.bath.ac.uk/cj219/"
"Linoleum","General",,25.000,1.210,,"Cradle to grave","Data difficult to select, large data range.",,"http://people.bath.ac.uk/cj219/"
"Lithium",,,853.000,5.300,,"Not specified","Ref. 22.",,"http://people.bath.ac.uk/cj219/"
"Mandolite",,,63.000,1.400,,"Not specified","Ref. 1.",,"http://people.bath.ac.uk/cj219/"
"Manganese",,,52.000,3.500,,"Not specified","Ref. 22.",,"http://people.bath.ac.uk/cj219/"
"Mercury",,,87.000,4.940,,"Not specified","Ref. 22.",,"http://people.bath.ac.uk/cj219/"
"Mineral fibre tile","Roofing",,37.000,2.700,,"Not specified","Ref. 1.",,"http://people.bath.ac.uk/cj219/"
"Molybedenum",,,378.000,30.300,,"Not specified","Ref. 22.",,"http://people.bath.ac.uk/cj219/"
"Nickel",,,164.000,12.400,,"Not specified","Ref. 114.",,"http://people.bath.ac.uk/cj219/"
"Paint","General",,70.000,2.420,2.910,"Cradle to gate","Large variations in data, especially for embodied carbon. Includes feedstock energy. Water based paints have a 70% market share.  Water based paint has a lower embodied energy than solvent based paint.",,"http://people.bath.ac.uk/cj219/"
"Paint","Solventborne",,97.000,3.130,3.760,"Cradle to gate","Solventborne paint has a 30% share of the market. Includes feedstock energy.  It was  difficult to estimate carbon emissions for Solventborne paint.",,"http://people.bath.ac.uk/cj219/"
"Paint","Waterborne",,59.000,2.120,2.540,"Cradle to gate","Waterborne paint has a 70% of market share. Includes feedstock energy.",,"http://people.bath.ac.uk/cj219/"
"Paper","Fine",,28.200,1.490,,"Cradle to gate","Excluding CV of wood, excludes carbon sequestration",,"http://people.bath.ac.uk/cj219/"
"Paper","Paperboard","General for construction use",24.800,1.290,,"Cradle to gate","Excluding calorific value (CV) of wood, excludes carbon sequestration/biogenic carbon storage.",,"http://people.bath.ac.uk/cj219/"
"Paper","Wallpaper",,36.400,1.930,,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Perlite","Expanded",,10.000,0.520,,"Not specified","Ref. 114.",,"http://people.bath.ac.uk/cj219/"
"Perlite","Natural",,0.660,0.030,,"Not specified","Ref. 114.",,"http://people.bath.ac.uk/cj219/"
"Plaster","General (Gypsum)",,1.800,0.120,0.130,"Cradle to gate","Problems selecting good value, inconsistent figures, West et al believe this is because of past aggregation of EE with cement",,"http://people.bath.ac.uk/cj219/"
"Plaster","Plasterboard",,6.750,0.380,0.390,"Cradle to gate","See Ref [WRAP] for further info on GWP data, including disposal impacts which are significant for Plasterboard.",,"http://people.bath.ac.uk/cj219/"
"Plastics","ABS",,95.300,3.050,3.760,"Cradle to gate","48.6 MJ/kg Feedstock Energy  (Included)",,"http://people.bath.ac.uk/cj219/"
"Plastics","General",,80.500,2.730,3.310,"Cradle to gate","35.6 MJ/kg Feedstock Energy  (Included). Determined by the average use of each type of plastic used in the European construction industry.",,"http://people.bath.ac.uk/cj219/"
"Plastics","General polyethylene",,83.100,2.040,2.540,"Cradle to gate","54.4 MJ/kg Feedstock Energy  (Included). Based on average consumption of types of polyethylene in European construction",,"http://people.bath.ac.uk/cj219/"
"Plastics","High Density Polyethylene Pipe",,84.400,2.020,2.520,"Cradle to gate","55.1 MJ/kg Feedstock Energy  (Included)",,"http://people.bath.ac.uk/cj219/"
"Plastics","High Density Polyethylene Resin",,76.700,1.570,1.930,"Cradle to gate","54.3 MJ/kg Feedstock Energy  (Included). Doesn’t include the final fabrication.",,"http://people.bath.ac.uk/cj219/"
"Plastics","Low Density Polyethylene  Film",,89.300,2.130,2.600,"Cradle to gate","55.2 MJ/kg Feedstock Energy (Included)",,"http://people.bath.ac.uk/cj219/"
"Plastics","Low Density Polyethylene Resin",,78.100,1.690,2.080,"Cradle to gate","51.6 MJ/kg Feedstock Energy  (Included). Doesn't include the final fabrication",,"http://people.bath.ac.uk/cj219/"
"Plastics","Nylon (Polyamide)","6 Polymer",120.500,5.470,9.140,"Cradle to gate","38.6 MJ/kg Feedstock Energy  (Included). Doesn’t include final fabrication. Plastics Europe state that two thirds of nylon is used as fibres (textiles, carpets…etc) in Europe and that most of the remainder as injection mouldings.",,"http://people.bath.ac.uk/cj219/"
"Plastics","Nylon (Polyamide)","6,6 Polymer",138.600,6.540,7.920,"Cradle to gate","50.7 MJ/kg Feedstock Energy  (Included). Doesn’t include final fabrication (i.e. injection moulding). See comments for Nylon 6 polymer.",,"http://people.bath.ac.uk/cj219/"
"Plastics","Polycarbonate",,112.900,6.030,7.620,"Cradle to gate","36.7 MJ/kg Feedstock Energy  (Included). Doesn’t include final fabrication.",,"http://people.bath.ac.uk/cj219/"
"Plastics","Polypropylene","Injection Moulding",115.100,3.930,4.490,"Cradle to gate","54 MJ/kg Feedstock Energy  (Included). If biomass benefits are included the CO2 may reduce to 3.85 kgCO2/kg, and GWP down to 4.41 kg CO2e/kg.",,"http://people.bath.ac.uk/cj219/"
"Plastics","Polypropylene","Orientated film",99.200,2.970,3.430,"Cradle to gate","55.7 MJ/kg Feedstock Energy  (Included).",,"http://people.bath.ac.uk/cj219/"
"Plastics","Polystyrene","Expanded",88.600,2.550,3.290,"Cradle to gate","46.2 MJ/kg Feedstock Energy  (Included)",,"http://people.bath.ac.uk/cj219/"
"Plastics","Polystyrene","General purpose",86.400,2.710,3.430,"Cradle to gate","46.3 MJ/kg Feedstock Energy  (Included)",,"http://people.bath.ac.uk/cj219/"
"Plastics","Polystyrene","High impact",87.400,2.760,3.420,"Cradle to gate","46.4 MJ/kg Feedstock Energy  (Included)",,"http://people.bath.ac.uk/cj219/"
"Plastics","Polystyrene","Thermoformed expanded",109.200,3.450,4.390,"Cradle to gate","49.7 MJ/kg Feedstock Energy  (Included)",,"http://people.bath.ac.uk/cj219/"
"Plastics","Polyurethane flexible foam",,102.100,4.060,4.840,"Cradle to gate","33.47 MJ/kg Feedstock Energy  (Included). Poor data availability for feedstock energy",,"http://people.bath.ac.uk/cj219/"
"Plastics","Polyurethane rigid foam",,101.500,3.480,4.260,"Cradle to gate","37.07 MJ/kg Feedstock Energy  (Included). Poor data availability for feedstock energy",,"http://people.bath.ac.uk/cj219/"
"Plastics","PVC","Calendered Sheet",68.600,2.610,3.190,"Cradle to gate","24.4 MJ/kg Feedstock Energy  (Included). If biomass benefits are included the CO2 may reduce to 2.56 kgCO2/kg, and GWP down to 3.15 kg CO2e/kg.",,"http://people.bath.ac.uk/cj219/"
"Plastics","PVC","General",77.200,2.610,3.100,"Cradle to gate","28.1 MJ/kg Feedstock Energy  (Included). Based on market average consumption of types of PVC in the European construction industry",,"http://people.bath.ac.uk/cj219/"
"Plastics","PVC","Injection Moulding",95.100,2.690,3.300,"Cradle to gate","35.1 MJ/kg Feedstock Energy  (Included). If biomass benefits are included the CO2 may reduce to 2.23 kgCO2/kg, and GWP down to 2.84 kg CO2e/kg.",,"http://people.bath.ac.uk/cj219/"
"Plastics","PVC","Pipe",67.500,2.560,3.230,"Cradle to gate","24.4 MJ/kg Feedstock Energy  (Included). If biomass benefits are included the CO2 may reduce to 2.51 kgCO2/kg, and GWP down to 3.23 kg CO2e/kg.",,"http://people.bath.ac.uk/cj219/"
"Plastics","UPVC film",,69.400,2.570,3.160,"Cradle to gate","25.3 MJ/kg Feedstock Energy  (Included)",,"http://people.bath.ac.uk/cj219/"
"Quartz powder",,,0.852,0.023,,"Not specified","Ref. 114.",,"http://people.bath.ac.uk/cj219/"
"Rubber","General",,91.000,2.660,2.850,"Cradle to gate","40 MJ/kg Feedstock Energy  (Included)",,"http://people.bath.ac.uk/cj219/"
"Sand","General",,0.081,0.005,0.005,"Cradle to gate","Estimated from real UK industrial fuel consumption data",,"http://people.bath.ac.uk/cj219/"
"Sealants and adhesives","Epoxide resin",,137.000,5.700,,"Cradle to gate","42.6 MJ/kg Feedstock Energy  (Included). Source: www.plasticseurope.org",,"http://people.bath.ac.uk/cj219/"
"Sealants and adhesives","Mastic sealant","Lower",62.000,,,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Sealants and adhesives","Mastic sealant","Mean",131.000,,,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Sealants and adhesives","Mastic sealant","Upper",200.000,,,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Sealants and adhesives","Melamine resin",,97.000,4.190,,"Cradle to gate","Feedstock energy 18 MJ/kg - estimated from Ref 34.",,"http://people.bath.ac.uk/cj219/"
"Sealants and adhesives","Phenol formaldehyde",,88.000,2.980,,"Cradle to grave","Feedstock energy 32 MJ/kg - estimated from Ref 34.",,"http://people.bath.ac.uk/cj219/"
"Sealants and adhesives","Urea formaldehyde",,70.000,2.760,,"Cradle to site","Feedstock energy 18 MJ/kg - estimated from Ref 34.",,"http://people.bath.ac.uk/cj219/"
"Shingle",,,11.300,0.300,,"Not specified","Ref. 70.",,"http://people.bath.ac.uk/cj219/"
"Silicon",,,2355.000,,,"Not specified","Ref. 167.",,"http://people.bath.ac.uk/cj219/"
"Silver",,,128.200,6.310,,"Not specified","Ref. 148.",,"http://people.bath.ac.uk/cj219/"
"Slag (GGBS)",,,1.600,0.083,,"Not specified","Ground Granulated Blast Furnace Slag (GGBS), economic allocation.",,"http://people.bath.ac.uk/cj219/"
"Soil","Cement stabilised soil",5%,0.680,0.060,0.061,"Cradle to site","Assumed 5% cement content.",,"http://people.bath.ac.uk/cj219/"
"Soil","Cement stabilised soil",8%,0.830,0.082,0.084,"Cradle to site","Assumed 8% stabiliser content (6% cement and 2% lime).",,"http://people.bath.ac.uk/cj219/"
"Soil","Fly ash stabilised soil",,0.560,0.039,0.041,"Cradle to site","Assumed 10% stabiliser content (8% fly ash and 2% lime).",,"http://people.bath.ac.uk/cj219/"
"Soil","General (rammed Soil)",,0.450,0.023,0.024,"Cradle to site",,,"http://people.bath.ac.uk/cj219/"
"Soil","GGBS stabilised soil",,0.650,0.045,0.047,"Cradle to site","Assumed 8% stabiliser content (8% GGBS and 2% lime).",,"http://people.bath.ac.uk/cj219/"
"Steel","Bar and rod","EU average",17.400,1.310,1.400,"Cradle to gate"," EU 3-average recycled content of 59%",,"http://people.bath.ac.uk/cj219/"
"Steel","Bar and rod","Recycled",8.800,0.420,0.450,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Steel","Bar and rod","Rest of world average",22.300,1.820,1.950,"Cradle to gate","Comments above apply. See material profile for further information.",,"http://people.bath.ac.uk/cj219/"
"Steel","Bar and rod","Virgin",29.200,2.590,2.770,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Steel","Bar and rod","World average",21.600,1.740,1.860,"Cradle to gate","Comments above apply. See material profile for further information.",,"http://people.bath.ac.uk/cj219/"
"Steel","Coil (sheet)","EU average",18.800,1.300,1.380,"Cradle to gate","Effective recycled content because recycling route is not typical.  EU 3-average recycled content of 59%",,"http://people.bath.ac.uk/cj219/"
"Steel","Coil (sheet)","Rest of world average",24.400,1.810,1.920,"Cradle to gate","Comments above apply. See material profile for further information.",,"http://people.bath.ac.uk/cj219/"
"Steel","Coil (sheet)","Virgin",32.800,2.580,2.740,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Steel","Coil (sheet)","World average",23.500,1.740,1.850,"Cradle to gate","Comments above apply. See material profile for further information.",,"http://people.bath.ac.uk/cj219/"
"Steel","Engineering","Recycled",13.100,0.680,0.720,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Steel","Galvanised coil (sheet)","EU average",22.600,1.450,1.540,"Cradle to gate","Effective recycled content because recycling route is not typical.  EU 3-average recycled content of 59%",,"http://people.bath.ac.uk/cj219/"
"Steel","Galvanised coil (sheet)","Rest of world average",29.500,2.000,2.120,"Cradle to gate","Comments above apply. See material profile for further information.",,"http://people.bath.ac.uk/cj219/"
"Steel","Galvanised coil (sheet)","Virgin",40.000,2.840,3.010,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Steel","Galvanised coil (sheet)","World average",28.500,1.920,2.030,"Cradle to gate","Comments above apply. See material profile for further information.",,"http://people.bath.ac.uk/cj219/"
"Steel","General","EU average",20.100,1.370,1.460,"Cradle to gate","EU 3-average recycled content of 59%. Estimated from UK's consumption mixture of types of steel (excluding stainless). All data doesn't include the final cutting of the steel products to the specified dimensions or further fabrication activities.",,"http://people.bath.ac.uk/cj219/"
"Steel","General","Recycled",9.400,0.440,0.470,"Cradle to gate","Could not collect strong statistics on consumption mix of recycled steel.",,"http://people.bath.ac.uk/cj219/"
"Steel","General","Rest of world average",26.200,1.900,2.030,"Cradle to gate","Rest of World (non-E.U.) consumption of steel. 3 year average recycled content of 35.5%.",,"http://people.bath.ac.uk/cj219/"
"Steel","General","Virgin",35.400,2.710,2.890,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Steel","General","World average",25.300,1.820,1.950,"Cradle to gate","Whole world 3 year average recycled content of 39%.",,"http://people.bath.ac.uk/cj219/"
"Steel","Pipe","EU average",19.800,1.370,1.450,"Cradle to gate","Effective recycled content because recycling route is not typical.  EU 3-average recycled content of 59%",,"http://people.bath.ac.uk/cj219/"
"Steel","Pipe","Rest of world average",25.800,1.900,2.010,"Cradle to gate","Comments above apply. See material profile for further information.",,"http://people.bath.ac.uk/cj219/"
"Steel","Pipe","Virgin",34.700,2.710,2.870,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Steel","Pipe","World average",24.900,1.830,1.940,"Cradle to gate","Comments above apply. See material profile for further information.",,"http://people.bath.ac.uk/cj219/"
"Steel","Plate","EU average",25.100,1.550,1.660,"Cradle to gate","Effective recycled content because recycling route is not typical.  EU 3-average recycled content of 59%",,"http://people.bath.ac.uk/cj219/"
"Steel","Plate","Rest of world average",33.200,2.150,2.310,"Cradle to gate","Comments above apply. See material profile for further information.",,"http://people.bath.ac.uk/cj219/"
"Steel","Plate","Virgin",45.400,3.050,3.270,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Steel","Plate","World average",32.000,2.060,2.210,"Cradle to gate","Comments above apply. See material profile for further information.",,"http://people.bath.ac.uk/cj219/"
"Steel","Section","EU average",21.500,1.420,1.530,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Steel","Section","Recycled",10.000,0.440,0.470,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Steel","Section","Rest of world average",28.100,1.970,2.120,"Cradle to gate","Comments above apply. See material profile for further information.",,"http://people.bath.ac.uk/cj219/"
"Steel","Section","Virgin",38.000,2.820,3.030,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Steel","Section","World average",27.100,1.890,2.030,"Cradle to gate","Comments above apply. See material profile for further information.",,"http://people.bath.ac.uk/cj219/"
"Steel","Stainless",,56.700,6.145,,"Cradle to gate","World average data from the Institute of Stainless Steel Forum (ISSF) life cycle inventory data. Selected data is for the most popular grade (304). Stainless steel does not have separate primary and recycled material production routes.",,"http://people.bath.ac.uk/cj219/"
"Steel","Wire","Virgin",36.000,2.830,3.020,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Stone","General",,1.260,0.073,0.079,"Cradle to gate","ICE database average (statistic), uncertain. See material profile.",,"http://people.bath.ac.uk/cj219/"
"Stone","Granite",,11.000,0.640,0.700,"Cradle to gate","Estimated from Ref 116.",,"http://people.bath.ac.uk/cj219/"
"Stone","Limestone",,1.500,0.087,0.090,"Cradle to gate","Estimated from Ref 188.",,"http://people.bath.ac.uk/cj219/"
"Stone","Marble",,2.000,0.116,0.130,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Stone","Marble tile",,3.330,0.192,0.210,"Cradle to grave","Ref. 40.",,"http://people.bath.ac.uk/cj219/"
"Stone","Sandstone",,1.000,0.058,0.060,"Cradle to gate","Uncertain estimate based on Ref. 262.",,"http://people.bath.ac.uk/cj219/"
"Stone","Shale",,0.030,0.002,0.002,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Stone","Slate","Lower",0.100,0.006,0.007,"Cradle to gate","Large data range",,"http://people.bath.ac.uk/cj219/"
"Stone","Slate","Mean",0.550,0.032,0.035,"Cradle to gate","Large data range",,"http://people.bath.ac.uk/cj219/"
"Stone","Slate","Upper",1.000,0.058,0.063,"Cradle to gate","Large data range",,"http://people.bath.ac.uk/cj219/"
"Straw",,,0.240,0.010,,"Not specified","Refs. 63, 201, 202 and 281.",,"http://people.bath.ac.uk/cj219/"
"Terrazzo tiles",,,1.400,0.118,,"Not specified","Ref. 1.",,"http://people.bath.ac.uk/cj219/"
"Timber","General",,10.000,0.300,0.310,"Cradle to gate","Estimated from UK consumption mixture of timber products in 2007 (Timber Trade Federation statistics). Includes 4.3 MJ bio-energy. All values do not include the CV of timber product and exclude carbon storage.",,"http://people.bath.ac.uk/cj219/"
"Timber","Glue laminated timber",,12.000,0.390,0.420,"Cradle to gate","Includes 4.9 MJ bio-energy.",,"http://people.bath.ac.uk/cj219/"
"Timber","Hardboard",,16.000,0.540,0.580,"Cradle to gate","Hardboard is a type of fibreboard with a density above 800 kg/m3. Includes 5.6 MJ bio-energy.",,"http://people.bath.ac.uk/cj219/"
"Timber","Laminated veneer lumber",,9.500,0.310,0.330,"Cradle to gate","Ref 150. Includes 3.5 MJ bio-energy.",,"http://people.bath.ac.uk/cj219/"
"Timber","MDF",,11.000,0.370,0.390,"Cradle to gate","Wide density range (350-800 kg/m3). Includes 3.8 MJ bio-energy.",,"http://people.bath.ac.uk/cj219/"
"Timber","Oriented Strand Board (OSB)",,15.000,0.420,0.450,"Cradle to gate","Estimated from Refs. 103 and 150. Includes 5.9 MJ bio-energy.",,"http://people.bath.ac.uk/cj219/"
"Timber","Particle board",,14.500,0.520,0.540,"Cradle to gate","Very large data range, difficult to select appropriate values. Modified from CORRIM reports. Includes 3.2 MJ bio-energy (uncertain estimate).",,"http://people.bath.ac.uk/cj219/"
"Timber","Plywood",,15.000,0.420,0.450,"Cradle to gate","Includes 7.1 MJ bio-energy.",,"http://people.bath.ac.uk/cj219/"
"Timber","Sawn hardwood",,10.400,0.230,0.240,"Cradle to gate","It was difficult to select values for hardwood, the data was estimated from the CORRIM studies (Ref. 88). Includes 6.3 MJ bio-energy.",,"http://people.bath.ac.uk/cj219/"
"Timber","Sawn softwood",,7.400,0.190,0.200,"Cradle to gate","Includes 4.2 MJ bio-energy.",,"http://people.bath.ac.uk/cj219/"
"Timber","Veneer particleboard (furniture)",,23.000,,,"Cradle to gate","Unknown split of fossil based and biogenic fuels.",,"http://people.bath.ac.uk/cj219/"
"Tin","General",,250.000,13.500,14.470,"Cradle to gate","lack of modern data, large data range",,"http://people.bath.ac.uk/cj219/"
"Tin","Tin coated plate (steel)","Lower",19.200,1.040,,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Tin","Tin coated plate (steel)","Mean",36.950,1.995,,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Tin","Tin coated plate (steel)","Upper",54.700,2.950,,"Cradle to gate",,,"http://people.bath.ac.uk/cj219/"
"Titanium","Recycled",,258.000,13.700,14.700,"Cradle to gate","lack of modern data, large data range, small sample size",,"http://people.bath.ac.uk/cj219/"
"Titanium","Virgin","Lower",361.000,19.200,20.600,"Cradle to gate","lack of modern data, large data range, small sample size",,"http://people.bath.ac.uk/cj219/"
"Titanium","Virgin","Mean",553.000,29.400,31.550,"Cradle to gate","lack of modern data, large data range, small sample size",,"http://people.bath.ac.uk/cj219/"
"Titanium","Virgin","Upper",745.000,39.600,42.500,"Cradle to gate","lack of modern data, large data range, small sample size",,"http://people.bath.ac.uk/cj219/"
"Vanadium",,,3710.000,228.000,,"Not specified","Ref. 22.",,"http://people.bath.ac.uk/cj219/"
"Vermiculite","Expanded",,7.200,0.520,,"Not specified","Ref. 114.",,"http://people.bath.ac.uk/cj219/"
"Vermiculite","Natural",,0.720,0.032,,"Not specified","Ref. 114.",,"http://people.bath.ac.uk/cj219/"
"Vicuclad",,,70.000,,,"Not specified","Ref. 1.",,"http://people.bath.ac.uk/cj219/"
"Vinyl flooring","General",,68.600,2.610,3.190,"Cradle to gate","23.58 MJ/kg Feedstock Energy  (Included), Same value as PVC calendered sheet. Note: the book version of ICE contains the wrong values. These values are up to date",,"http://people.bath.ac.uk/cj219/"
"Vinyl flooring","Vinyl composite tiles (VCT)",,13.700,,,"Cradle to grave","Ref. 94.",,"http://people.bath.ac.uk/cj219/"
"Water",,,0.010,0.001,,"Not specified",,,"http://people.bath.ac.uk/cj219/"
"Wax",,,52.000,,,"Not specified","Ref. 169.",,"http://people.bath.ac.uk/cj219/"
"Wood stain/varnish",,,50.000,5.350,,"Not specified","Ref. 1.",,"http://people.bath.ac.uk/cj219/"
"Yttrium",,,1470.000,84.000,,"Not specified","Ref. 22.",,"http://people.bath.ac.uk/cj219/"
"Zinc","General","Average",53.100,2.880,3.090,"Cradle to gate","Uncertain carbon estimates, currently estimated from typical UK industrial fuel mix. Recycled content of general Zinc 30%.",,"http://people.bath.ac.uk/cj219/"
"Zinc","General","Recycled",9.000,0.490,0.520,"Cradle to gate","Uncertain carbon estimates, currently estimated from typical UK industrial fuel mix. Recycled content of general Zinc 30%.",,"http://people.bath.ac.uk/cj219/"
"Zinc","General","Virgin",72.000,3.900,4.180,"Cradle to gate","Uncertain carbon estimates, currently estimated from typical UK industrial fuel mix. Recycled content of general Zinc 30%.",,"http://people.bath.ac.uk/cj219/"
"Zirconium",,,1610.000,97.200,,"Not specified","Ref. 22.",,"http://people.bath.ac.uk/cj219/"


Title,Subject,Inventors
"Biotechnology, medicine, and computer science",Computer Science,Lillian L. Burt
Neuron networks and machine learning,Computer Science,Lois F. Cantrell
Big data analysis,Computer Science,Lisandra V. Lopez
Virtual reality and its connection to human perception,Computer Science,Hayes K. Holder
The success of computer-assisted education,Computer Science,Molly A. Brennan
Computer assistance in support services,Computer Science,Willa Q. Nunez
Database architecture and management,Computer Science,Anthony O. Sweeney
Human-computer interactions. The importance of usability,Computer Science,Preston S. Sims
The limits of computation and communication,Computer Science,Solomon I. Mathis
Computers and media. Where is the line between art and math modeling?,Computer Science,Martena Q. Powell
Why there are so much programming languages?,Computer Science,Elton P. Sheppard
Digital security versus private information,Computer Science,Samuel Z. Hicks
Encrypting and decrypting,Computer Science,Claudia S. England
Quantum computers. Are they the future?,Computer Science,Neve E. Sheppard
Is the evolution of search algorithms finished?,Computer Science,Wynter J. Farley
The importance of open source software,Computer Science,Dorian H. Foreman
Portable gadgets and the peculiarities of software development for them,Computer Science,Cedric A. Logan
Cloud storages: advantages and disadvantages,Computer Science,Michelle R. Hyde
Computer viruses: the main principles of work and the hazards,Computer Science,Uriel G. Lester
"DDOS attacks, their danger on the global scale and their prevention",Computer Science,Dexter P. Stark
Is SCRUM methodology the best-invented one for computer science?,Computer Science,Drake F. Morrison
The online medicine apps: can they sometimes substitute the treatment of real doctors?,Computer Science,Vivien N. Patterson
5G Wireless System: is it the future?,Computer Science,Grace A. Workman
"Windows, macOS, UNIX – what OS is the most perspective now?",Computer Science,Preston D. Gallegos
Biometric systems and recognizing,Computer Science,Clinton N. Nash
Ethical hacking. Who are the “white hat hackers”?,Computer Science,Aretha Q. Snider
Cyborgs: is it sci-fi or nearest future?,Computer Science,Connor Y. Alvarado
The ATM and bank security,Computer Science,Yvette N. Walsh
The evolution of torrents,Computer Science,Ezra G. Preston
What is blockchain?,Computer Science,Kathleen L. Steele
"The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks",AI & ML,Kaye J. Delaney
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations,AI & ML,Tanya U. Mcmahon
Meta-Learning Update Rules for Unsupervised Representation Learning,AI & ML,Mark M. Carhart
On the Variance of the Adaptive Learning Rate and Beyond,AI & ML,"Andrei Shleifer, Robert W. Vishny"
XLNet: Generalized Autoregressive Pretraining for Language Understanding,AI & ML,"Rafael La Porta, Florencio Lopez-De-Silanes, Andrei Shleifer"
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations,AI & ML,"NARASIMHAN JEGADEESH, SHERIDAN TITMAN"
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems,AI & ML,"EUGENE F. FAMA, KENNETH R. FRENCH"
A Theory of Fermat Paths for Non-Line-of-Sight Shape Reconstruction,AI & ML,"RAFAEL LA PORTA, FLORENCIO LOPEZ-DE-SILANES, ANDREI SHLEIFER, ROBERT W. VISHNY"
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning,AI & ML,MICHAEL C. JENSEN
Learning Existing Social Conventions via Observationally Augmented Self-Play,AI & ML,Edward I. Altman
The history of mathematics,Mathematics,"Kent Daniel, David Hirshleifer, Avanidhar Subrahmanyam"
Greek math theories and inventions,Mathematics,"EUGENE F. FAMA, KENNETH R. FRENCH"
The math of ancient great buildings,Mathematics,"WERNER F. M. De BONDT, RICHARD THALER"
The math of Universe. Universal constants,Mathematics,"LAWRENCE R. GLOSTEN, RAVI JAGANNATHAN, DAVID E. RUNKLE"
Astronomy and math. How can we know about what we have never seen?,Mathematics,"Ronald C. Anderson, David M. Reeb"
The greatest mathematicians and their role in the history,Mathematics,"RAGHURAM G. RAJAN, LUIGI ZINGALES"
The greatest math invention in history,Mathematics,Harry Markowitz
Euclidean and non-Euclidean geometries. Going beyond the space we used to,Mathematics,William Vickrey
Unsolved problems in math,Mathematics,"Andrei Shleifer, Robert W. Vishny"
Math and Quantum theory,Mathematics,William F. Sharpe
Math and Philosophy,Mathematics,"Ravi Bansal, Amir Yaron"
Art and math: are they connected?,Mathematics,"MALCOLM BAKER, JEFFREY WURGLER"
Algebra,Mathematics,"ANDREW ANG, ROBERT J. HODRICK, YUHANG XING, XIAOYAN ZHANG"
Number theory,Mathematics,"MITCHELL A. PETERSEN, RAGHURAM G. RAJAN"
Math and the AI concepts,Mathematics,"Harrison Hong, Jeremy C. Stein"
Math in nature,Mathematics,"Rafael La Porta, Florencio Lopez-De-Silanes, Andrei Shleifer, Robert Vishny"
Math in our daily life,Mathematics,"SHERIDAN TITMAN, ROBERTO WESSELS"
Math and Probabilities,Mathematics,"Kristin J. Forbes, Roberto Rigobon"
Fundamental mathematical theorems,Mathematics,"Stijn Claessens, Simeon Djankov, Joseph P. H. Fan, Larry H. P. Lang"
Sports and math,Mathematics,EUGENE F. FAMA
Is Math unique for humans only?,Mathematics,"JOSEF LAKONISHOK, ANDREI SHLEIFER, ROBERT W. VISHNY"
STEM Education: why math is so important?,Mathematics,Terrance Odean
Math and formal logic,Mathematics,Robert C. Merton
The math of time,Mathematics,"Brad M. Barber, Terrance Odean"
Math and gender,Mathematics,"Erik R. Sirri, Peter Tufano"
Thermoelectric materials,Chemistry,ROBERT C. MERTON
Enhanced performance separators,Chemistry,RAGHURAM G. RAJAN
The chemical properties of the artificial organic tissues,Chemistry,"TIM LOUGHRAN, JAY R. RITTER"
Environmental toxicology,Chemistry,JAY R. RITTER
Bioconjugates in chemical biology,Chemistry,"Malcolm Baker, Jeffrey Wurgler"
Chemistry of nanoreactors,Chemistry,PAUL C. TETLOCK
Chemical neuroscience and behaviour,Chemistry,Edward M. Miller
Atmospheric physical chemistry,Chemistry,"ROBERT F. ENGLE, VICTOR K. NG"
Enzymology in chemical toxicology,Chemistry,"François Longin, Bruno Solnik"
Process intensification,Chemistry,G. WILLIAM SCHWERT
Adverse outcome pathways,Chemistry,"ULRIKE MALMENDIER, GEOFFREY TATE"
Battery science and technology,Chemistry,"Campbell R. Harvey, Akhtar Siddique"
Photons and physical chemistry,Chemistry,Michael C. Jensen
Climate chemistry,Chemistry,"MILTON HARRIS, ARTUR RAVIV"
Ionization methods in mass spectrometry,Chemistry,"Joshua D. Coval, Tobias J. Moskowitz"
Pesticides and their chemical influence,Chemistry,"David Easley, Maureen O'hara"
Food dyes and their chemistry,Chemistry,"Narasimhan Jegadeesh, Sheridan Titman"
The chemistry of allergy,Chemistry,David Sloan
Bonding of fluorine and inert gases,Chemistry,E. A. Baltz
Methods of stabilising lithium to prevent its corrosion on contact with oxygen,Chemistry,M. J. Owens
A look at surface tension and its implications for the future of transportation,Chemistry,Fangfang Wei
Beryllium and its ability to ameliorate the strengths of other metals to which it is added,Chemistry,Yakov Galutin
A look at the use of hydrogen in discovering the presence of oxygen,Chemistry,Junliang Dong
Exploring the differences and similarities between ionic and covalent bonds,Chemistry,K. Yoshimatsu
The ramifications of silicon as a semiconductor being used heavily in the practice of cosmetic surgery,Chemistry,Takuya Miwa
The history of politics: when and how it was created and how it evolved,Political Science,Robin Diekmann
The politics and war history: is every war a political decision?,Political Science,Carlos Sabín
Political science overview. Basics and methodology,Political Science,Chenchen Zhang
Political Psychology,Political Science,Dianmin Lin
The influence of cultural norm on politics,Political Science,Sandeep Munjal &
Politics and religion: is politics always rational?,Political Science,Riccardo Marchetti
The prominent personalities in politics (choose the country and timeframe),Political Science,Jong-Young Hong
The political decisions that changed the history,Political Science,Hongsheng Zhang
The causes and consequences of civil wars,Political Science,Seungyeop Choi
Is terrorism a political instrument?,Political Science,Taichi Morita
The importance of social movements in politics,Political Science,Ivan Kruglov
Populism: what is it and how does it work?,Political Science,T. L. Jin
Totalitarian regimes: similarities and differences,Political Science,Qianli Chen &
Divided governments: examples and principles of work,Political Science,Jen-Hsiang Hsieh
The types and peculiarities of electoral systems,Political Science,Joya Zeitouny
"Federalism, Confederalism and Unitary Systems. Why such form appear and how they operate?",Political Science,Raouf Dridi &
Presidential republics versus parliamentary republics,Political Science,Asir Intisar Khan
The ancient and modern examples,Political Science,Unai Alvarez-Rodriguez
Interstate affairs. Wars and diplomacy,Political Science,Richard C. Ordonez
International political economy,Political Science,Linpeng Dong
Global politics. Environment and resource preserving,Political Science,Joanna Oracz
The code of honor and loyalty oaths,Political Science,Cristian Farías
The concept of open society and politics,Political Science,Amedeo Balbi &
Corruptions in politics and the ways to eliminate it,Political Science,Peter Broecker
Positivism: pros and cons,Political Science,Benyamin Davaji
Constructivism: pros and cons,Political Science,A. Soloviev
Politics in media,Political Science,Bi-Yi Wu
The role of public relations in politics,Political Science,S. Harrison &
Nationalism versus globalization,Political Science,Hamid T. Chorsi
Rational Choice Theory,Political Science,Alexander N. Tait
Does the politics change when the morals of the society evolve?,Political Science,Taha Ayari
Cultural pluralism,Political Science,Z. H. Liu
The concept of common good and its impact on the politics,Political Science,Fangzheng Zhang
The politics during peace and wartime,Political Science,Mausumi Dikpati
Nonstate actors on international political arena,Political Science,Zhao Jin
Why the result of exit polls is usually different from the result of actual elections?,Political Science,S. Lang
The philosophy of politics,Political Science,J. D. Clarkson
The impact of political scandals,Political Science,M. V. Jabir &
Political anthropology,Political Science,Ni Cui
Worldwide political dependencies,Political Science,Ganesh Hegde &
Food preferences and sociology, Sociology,R. Lopez-Delgado
Youth subcultures, Sociology,Frederic Català
The phenomenon of hooligans, Sociology,Shuping Wang
Gender sociology, Sociology,Nabil Mohammad
Mass protests, Sociology,Brian J. Frey
Secret communities and cults, Sociology,S. von Malottki
Assimilation or synthesis of the new culture?, Sociology,Kelvin J. A. Ooi
Life quality level, Sociology,Haemin Kim &
Calculating risks in sociology, Sociology,Iaroslav Gnilitskyi
Sociology of minorities, Sociology,Chaoyang Ti
Sociology of senior age and dying, Sociology,Elena Facco
Sociology of childhood, Sociology,Yin Zhang
Family in sociology, Sociology,Sunmi Shin
Personality types, Sociology,C. D. W. Mosley
Behaviour in groups, Sociology,K. Terada
"Involuntary groups (e.g. prison cells, school classes etc)", Sociology,Yeonwoo Shin
Social hierarchy, Sociology,Hyun-Cheol Song
Strategies of relationships, Sociology,Christian Huber
Sociology and psychology, Sociology,A. Velea
Sociology of conflicts, Sociology,Romain Chevallier
Sociology of disasters, Sociology,Nirakar Poudel
Sociobiology, Sociology,Yong Meng Sua
Can human social patterns apply to some animals?, Sociology,Jierong Cheng
Criminal sociology, Sociology,Caterina Braggio
Sociology of violence, Sociology,Jagyeong Kim
Altruism in sociological terms, Sociology,Takuya Ohzono
Sociology of workspace, Sociology,Abdoulaye Ba
Military sociology, Sociology,George F. R. Chen
Sex and sociology, Sociology,Tatsuya Shoji
Political sociology, Sociology,Hyun Jeong
The sociology of religion, Sociology,Takayuki Shiino
"Sociology of gambling, game addiction and other dependencies", Sociology,S. K. Adhikari
Sociology and propaganda, Sociology,Ming-Hsuan Kao
Sociology and busines, Sociology,Lunwu Zeng
Juvenile delinquency, Sociology,G. G. Paschos
What is communication? The birth of the media as we know it,Media,Yuri M. Efremov
"Media, Censorship and Propaganda",Media,Gurpreet Singh
The freedom of speech and its impact on the media,Media,Toshiaki Tanigaki
The main aspects of communication,Media,Tsai-Chen Wu
The triggering topics. What do you need to start an instant “holywar” in media?,Media,Shane Colburn
The phenomenon of hype and its usage of the media,Media,Hua Zhu
Single bloggers versus media companies,Media,Masahiro Haze
Communication and media psychology,Media,T. R. Raddo
The history of advertising and its important in the modern business,Media,Shihong Huang
The popular culture in the media,Media,Cheng Wei Shih &
Video games. Can they be considered a media now?,Media,Martin Jirka
Violence and controversial topics. Shall the media censor it out?,Media,Filipe Matusalem
The peculiarities of children media,Media,Farabi Bozheyev
Are the videoblogs the new diaries?,Media,K. Zeissler
Mainstream media versus arthouse,Media,Yanlong Shen
What is the age of post-truth in the media?,Media,Robert G. Endres
Social networks as the main way of communication in the modern world,Media,Hyeryun Kim
Why exclusive material is so important in the media?,Media,Jocelyn T. Marsh
Fandom and fanfiction in the media,Media,Patricia Z. Patton
Mass Communication Laws in different countries,Media,Chandler L. Hester
Media and disasters: enhancing panic or preventing it?,Media,Ann N. Wade
Terrorism in the media,Media,George F. Arnold
Changes in the media during the wartime,Media,Hermione M. Moore
Journalism ethics: what is it?,Media,Mara F. Larson
International journalism,Media,Fuller D. Morton
Journalists on the battlefield,Media,Timothy N. Contreras
Media policy and regulation in different countries,Media,Katell N. Weaver
How did the Internet influence media development?,Media,Signe A. Velasquez
Media: reacting to the events or creating them?,Media,Berk N. Garrett
Virtual reality: may it be the future of the media?,Media,Hayden F. Roy
Media downshifting: why do people revert to newspapers again?,Media,Edan T. Quinn
Social media marketing campaigns,Media,Quemby P. Nielsen
"Media, politics and public relations",Media,Miriam R. Romero
The styles and types of media. How they differ depending on the audience they are aiming for?,Media,George U. Fisher
The phenomenon of Disney. Media or the new mythology?,Media,Raja L. Garner
Scientific journalism: shall science be popular?,Media,Bethany B. Craft
Media for educational purpose,Media,Aidan Z. Callahan
Radio media: why radio is still popular?,Media,Zenaida Z. Holden
Hidden messages in the media made for entertainment,Media,Bertha H. Hoover
Media images of the representatives of different countries,Media,Colin N. Ryan
The industrial revolution in your country and worldwide,History,Garrison Y. Sharpe
The impact of Martin Luther King’s speech,History,Ria Y. Franks
The French Revolution. The establishment of the principles of democracy in France,History,Uriel V. Wilcox
American Revolution and building of American society,History,Ross O. Callahan
"The Vietnam War, its causes, consequences, and scars it left",History,Fletcher O. Howard
The creation and failure of the Weimar Republic,History,Owen I. Cruz
American foreign policy from the beginning of the 21st century,History,Olga D. Kim
The cold war and its consequences for the world,History,Nicholas M. Hall
Battle of Hastings and its role in the history of England,History,Taylor Z. Terry
The Crusades and the Jihads. Similarities and differences,History,Libby H. Fulton
The process of abolition of slavery and its meaning for the world,History,Jameson A. Flores
The ideas of Communism and their influence on the world,History,Kyra H. Gonzalez
British colonialism in India,History,Piper G. Casey
The Crusades and the Jihads. Similarities and differences,History,Fitzgerald M. Guerrero
The rise of independent African countries,History,Taylor J. Hancock
The Holy Roman Empire,History,Simone X. Lewis
The phenomenon of hippie culture: did it have a huge impact?,History,Carolyn G. Ware
Monasteries and education during the Middle Ages,History,Simone D. Pena
Japanese economic wonder: can it be repeated?,History,Christian J. Burks
The development of the People’s Republic of China,History,Blair Q. Sherman
The Caribbean in the golden age of pirates,History,Joshua Z. Frazier
The most prominent queens of ancient Egypt,History,Keegan Y. Bray
The culture of the Roman Empire in comparison to ancient Greece,History,Calista K. Ratliff
What made ancient Sparta so different from other cities?,History,Gwendolyn C. Hood
The trading routes of the Renaissance period,History,Lester T. Johnson
The colonization of America,History,Dillon P. Alvarado
The importance of sports games in ancient times,History,Ariana E. Kent
The political power of Pope in the Middle Ages,History,Simon I. Castro
The history of propaganda from ancient times to modern days,History,Reuben A. Knowles
The changes in the economies of Europe after World War I,History,Isabelle G. Hahn
Sexual revolution: causes and consequences,History,Jarrod W. Wall
The policy of installing applications to the phones and tables,Cyber Security,Lois I. Cole
"Security measures in Windows, Unix and MacOS",Cyber Security,Bernard W. Gallegos
Encrypting viruses,Cyber Security,Suki F. Yang
Loss of data and its restoration,Cyber Security,Ella F. Hampton
The process of authentication,Cyber Security,Joy U. Blake
Data encryption algorithms,Cyber Security,Timothy H. Alford
The ways of network intrusion and their detection and prevention,Cyber Security,Mark J. Raymond
Itsand security measures,Cyber Security,Alec H. Porter
The most prominent pandemics of cyber viruses,Cyber Security,Willa Q. Nunez
White hat and black hat hackers: who are they?,Cyber Security,Anthony O. Sweeney
Phishing and scam in the Internet,Cyber Security,Preston S. Sims
Social networks and digital security,Cyber Security,Solomon I. Mathis
Revenge porn and blackmailing in the Internet,Cyber Security,Martena Q. Powell
What is firewall and how it helps to protect the network?,Cyber Security,Elton P. Sheppard
"Cookies, privacy and cyber security",Cyber Security,Samuel Z. Hicks
Identity theft in the Internet,Cyber Security,Claudia S. England
The strategies of password,Cyber Security,Neve E. Sheppard
Device synchronisation and protection,Cyber Security,Wynter J. Farley
Terms and conditions in the software,Cyber Security,Dorian H. Foreman
Digital piracy and security,Cyber Security,Cedric A. Logan
Laws against cyber crimes,Cyber Security,Michelle R. Hyde
Cyber security while downloading files,Cyber Security,Uriel G. Lester
Social engineering and its importance,Cyber Security,Dexter P. Stark
Software updates and patches and their importance,Cyber Security,"Jensen, Nola B."
The most well-known closed vulnerabilities,Cyber Security,"Walton, Sean B."
The emergency actions after hacking,Cyber Security,"Morin, Rahim U."
The main causes of cyber crimes,Cyber Security,"Bryant, Teagan J."
Biometrics and cyber security,Cyber Security,"Snow, Hamilton B."
Bots and cyber security,Cyber Security,"Jimenez, Bree E."
"The unified user profiles, their advantages and dangers",Cyber Security,"Bailey, Octavius Z."
Design integration in campus planning,Architecture,"Powell, Hiroko I."
Use of lightweight architecture in advanced structures.,Architecture,"Swanson, Heather B."
The importance of parametric designing in modern architecture.,Architecture,"Branch, Ramona I."
The significance of sanctuaries for the preservation of wildlife in urban areas.,Architecture,"Yates, Kylee J."
The construction process of Egyptian pyramids.,Architecture,"Lynch, Price A."
Best designs for shared accommodations.,Architecture,"Nolan, Neve J."
The importance of sustainable urban development.,Architecture,"Mueller, Raven R."
The influence of Islamic architecture on the design of structures in the UAE.,Architecture,"Thomas, Ishmael R."
The impact of historic French art and architecture on modern designs.,Architecture,"Wiggins, Zahir P."
Best designs for restaurants for revitalization of urban areas.,Architecture,"Nicholson, Keane Q."
The effect of IoT on urban architectural design.,Architecture,"Spears, Carter P."
Best designing for maximum building space utilization.,Architecture,"Obrien, Cecilia W."
Important things to consider for resilient design.,Architecture,"King, Kelly M."
Conservation as a way of sustaining cultural heritage.,Architecture,"Hardin, Oleg I."
Best practices for school planning in rural areas.,Architecture,"Leonard, Amethyst V."
The impact of unlimited housing developments on the environment.,Architecture,"Good, Ethan M."
A smart approach to the designing of a transport system to regulate traffic congestion.,Architecture,"Griffith, Ethan W."
The origins of Islamic architecture.,Architecture,"Moody, Lila L."
The influence of classical art on modern architecture.,Architecture,"Frazier, Lucas T."
A comparison of materials used in ancient and modern architecture.,Architecture,"Warner, Kelsie D."
Famous architects of the 20th,Architecture,"Bishop, Chastity E."
Optimum balance between structural strength and aesthetic appeal.,Architecture,"Lindsey, Felicia P."
Benefits of low-cost high-strength architecture.,Architecture,"Wilkins, Kevin Y."
The effect of extreme weather conditions on the durability of architecture.,Architecture,"Wells, Signe N."
The influence of European art on architecture.,Architecture,"Joseph, Walker L."
Best practices in town planning.,Architecture,"Hood, Elliott S."
Art as the prime influencer of architecture.,Architecture,"Riddle, Whoopi P."
The impact of Islamic architecture on the modern structural design.,Architecture,"Andrews, Ruth I."
The significance of arches for structural safety.,Architecture,"Juarez, Clementine M."
Reconstruction of architectural heritage.,Architecture,"Schultz, Abbot S."
The Impact of Politics of Colonialism on the Aborigines in Australia,Racism,"Ortiz, Jonah M."
Causes and Effects of Racial Prejudice in the 1950s,Racism,"Oconnor, Haley X."
Was the Women’s Movement of 1960 Successful to Unite White and Black Women?,Racism,"Woodard, Naomi I."
Black Power Movement: Origins and History,Racism,"Phillips, Lev Q."
Can We Call Malcolm X a Racist?,Racism,"Tillman, Kaye Z."
The Main Reasons for Racial Prejudgments,Racism,"Goff, Lois L."
Capitalism & Racism in Japan,Racism,"Sellers, Jenette J."
The Theory of Protest by Socrates,Racism,"Ramsey, Chase D."
Hate Crimes in the United States: Is Race a Factor?,Racism,"Woodward, Iona P."
"The assassination of Martin Luther King, Jr.: Public Reaction",Racism,"Vazquez, Amanda L."
Evolutionary-Psychological Perspective of Racism,Racism,"Knowles, Xenos M."
Did Darwin offer racial ideas in his works?,Racism,"Chambers, Cameran J."
The Roots of Racial Discrimination,Racism,"Yang, Mari N."
Stereotypes and Prejudice: Compare & Contrast,Racism,"Oneill, Eden O."
The Theory of Protest by Malcolm X,Racism,"Parks, Vanna R."
Roots of Islamophobia in Different Parts of the World,Racism,"Hicks, Brady K."
Proofs That Racism Still Exists in the US,Racism,"Dudley, Kennan F."
"Prejudice, Police Brutality, and Racism: The Connection between Three",Racism,"Rhodes, Ivor P."
Proper Education about Racism in Modern US Schools,Racism,"Knox, Mona B."
What Countries Are the Most Racist?,Racism,"Barker, Xanthus A."
Academic and Professional Barriers Caused by Racial Factors,Racism,"Davenport, Sage L."
Oscars Boycott: Reasons and Outcomes,Racism,"Jacobson, Nelle I."
The Best Approaches to Dealing with Racial Prejudices,Racism,"Schwartz, Shaine O."
How Muslims Are Discriminated in the United States,Racism,"Bennett, Yardley B."
The Context of Racism Speech (any of them),Racism,"Johnson, Caleb K."
The Theory of Protest by Dr. King,Racism,"Coleman, Robert B."
In-depth Analysis of “The Help” Film,Racism,"Sandoval, Raven L."
Different Types of Racism,Racism,"Flores, Colette T."
Defining Racism from Various Aspects,Racism,"Pruitt, Hamilton M."
Explicit & Implicit Racial Biases,Racism,"Roman, Demetrius H."
Report on the Significance of Certain Hormones Concerning the Body Functioning,Biology,"Norton, Mufutau Z."
Cell Structure & Antibiotic Resistance,Biology,"Britt, Clementine Z."
Hormones Influence on Mind and Behavior,Biology,"Klein, Carla X."
How Hormones Contribute to Depression,Biology,"Roy, Kennan Y."
Hormonal Changes During Pregnancy,Biology,"Horn, Jason H."
Psychological Disorders: The Biological Basis,Biology,"Holland, Aiko X."
Biology Behind the Bipolar Disorder,Biology,"Atkins, Cassady Z."
Cortisol and Testosterone Influence Risk-Taking,Biology,"Chambers, Darryl X."
Current Oxytocin Science,Biology,"Graham, Fitzgerald K."
Oxytocin and Fear Reaction,Biology,"French, Aphrodite F."
Endocrine-Related Diseases,Biology,"Shaffer, Joy C."
How Hormones Affect Human Behavior,Biology,"Bentley, Elvis W."
Hormonal Control of Reproductive System,Biology,"Sexton, Charde S."
Influence of Hormonal Therapy,Biology,"Waters, Hiroko R."
Endocrinology and Metabolism,Biology,"Avery, Marvin Q."
Hormone-Specific Psychopathic Disorders,Biology,"Brewer, Nina E."
Melatonin in Therapy,Biology,"Vega, Constance M."
Steroid Hormones’ Path to Cells,Biology,"Crane, Leah H."
Cardio Exercise Influence Hormones,Biology,"Fitzgerald, Brock F."
Oxytocin in Treatment Psychopathic Disorders,Biology,"Charles, Doris U."
How Hormones Influence Women’s Mental Health,Biology,"Ferguson, Melinda F."
Gender Specifics Related to Mental Health,Biology,"Marsh, Dillon C."
Human Immune System and Its Resistance Capabilities,Biology,"Blake, Hunter K."
How Do Immune System Agents Function?,Biology,"Mann, Karleigh C."
Discovering Diseases Caused by Immune System not Functioning Good,Biology,"Kelley, Cade H."
Immunity & Stress,Biology,"Luna, Dalton H."
Tolerance & Autoimmunity,Biology,"Perry, Vance U."
Asthma & Allergic Reactions,Biology,"Durham, Kyle S."
Immunotherapy Influence on Human Body,Biology,"Burt, Garrison X."
Immunology & Transplantation,Biology,"Goff, Colton D."
Graft Rejection Prevention,Biology,"Frederick, Wendy P."
Vaccination: Are There Any Real Benefits?,Biology,"Quinn, Ciara C."
The Society’s Perspective on Vaccination,Biology,"Patel, Imogene B."
Natural Disease Resistance in Plants,Biology,"Gilmore, Rowan C."
The Prevention Measures in Plant Pathology,Biology,"Booth, Xenos H."
Research on Plant-Associated Microbes and Current Genomic Tools,Biology,"Greer, Alexander C."
Literature Review on Microbial Ecology and Evolution,Biology,"Pittman, Laith F."
Plant Diseases Management Facilitated by Modern Technology,Biology,"Everett, Beau E."
Plant Evolutionary Genetics,Biology,"Roy, Armand K."
Weedy & Invasive Plants,Biology,"Livingston, Gray X."
Photosynthesis: Aspects & Functions,Biology,"Best, Dean F."
Fertilizers’ Influence on Plants,Biology,"Larson, Regan A."
Ecological and Evolutionary Factors Influencing Animal Behavior,Biology,"Bullock, Laurel Q."
Essay on Relationship Between Living Forms and Their Environment,Biology,"Webb, Jasmine C."
The Affect of Human Behavior on Animal Forms in the USA,Biology,"Reeves, Talon D."
The Ways Animal and Plants Respond to Changing Environment,Biology,"Mccarty, Edward B."
Developmental Mechanism of Resistance in Animals,Biology,"Mendoza, Prescott O."
The Environmental Change and its Involvement in the Diversity of Species,Biology,"Russell, Calista X."
Is Global Warming Really a Threat?,Biology,"Knapp, Daryl R."
Fast Food Industry & Tropic Forests Extinction,Biology,"Briggs, Audrey G."
Environmental Psychology,Biology,"Bridges, Isaiah B."
Means of Wildlife Protection,Biology,"Woodard, Sybil K."
Impact of Rain Forests Extinction,Biology,"Marshall, Cadman H."
Rare Species Protection,Biology,"Hess, Winifred I."
The Problem of Extinction,Biology,"Battle, Imelda S."
Renewable Energy and Environment’s Pollution,Biology,"Sanchez, Rigel G."
Climate Change and Biodiversity,Biology,"Lester, Stewart B."
Types of Pollution in Modern World,Biology,Camille Abboud
What is Sustainability in Biology?,Biology,Christopher Abraham
Non-human factors of Extinction of Species,Biology,"Odom, Malik P."
Benefits of Ecotourism,Biology,"Whitaker, Orson Y."
Is Extinction of Bees Real?,Biology,"Key, Steel E."
Oil Spill Effects on Ocean Wildlife,Biology,"Foreman, Baxter L."
Factors and benefits of Organic Farming,Biology,"Cooke, Dieter E."
Visual Cortex & Models of Orientation,Neuro-Biology,"Byers, Jillian U."
Neuroscience in Robotic Technologies,Neuro-Biology,"Gallagher, Ira W."
What is Visual-Motor Coordination Based On?,Neuro-Biology,"Holland, Kato U."
Impact of Music on Human Brain,Neuro-Biology,"Hernandez, Owen A."
Brain Injuries and Related Disorders,Neuro-Biology,"Yates, Scott B."
Brain and Memory,Neuro-Biology,"Warner, Nehru G."
Brain Capabilities of Self-Repairing,Neuro-Biology,"Riggs, Vernon R."
Genetic Defect That Contributes to Schizophrenia,Neuro-Biology,"Molina, Louis V."
Factors and Causes Behind a Migraine,Neuro-Biology,"Hensley, Stephanie F."
Connection Between Gut Bacteria and Anxiety,Neuro-Biology,"White, Beverly V."
Can Gut Bacteria Contribute to Depression?,Neuro-Biology,"Bright, Jade R."
Cognitive Neuroscience on Problem-Solving,Neuro-Biology,"Wong, Dorothy C."
Genes and Proteins Responsible for Neurons functioning,Neuro-Biology,"Michael, Chantale M."
Factors Concerning Animal Growth,Biology,"Vazquez, Madison C."
The Obesity in Home Pets,Biology,"Randolph, Diana K."
Traditional Dog Diet and Modern Home Pets,Biology,"Ferrell, Lani E."
Male Pregnancy Among Animals,Biology,"Freeman, Noel W."
Is Beauty Products Testing on Animals Ethical?,Biology,"Fields, Mary G."
Birds Behavioral Study,Biology,"Head, Pascale U."
Animal Science & Food Sustainability,Biology,"Bernard, Maite M."
Does Veganism Actually Influence Meat Production?,Biology,"Day, Lesley V."
Wild Animal Projects,Biology,"Snow, Hamilton B."
Fashion Industry & Animal Abuse,Biology,"Jimenez, Bree E."
Camouflage Mechanism in Sea Animals,Biology,"Bailey, Octavius Z."
Discovering Primate Language and Cognitive Function,Biology,"Powell, Hiroko I."
The History of Genetics,Biology,"Swanson, Heather B."
Darwin’s Theory and Biology,Biology,"Branch, Ramona I."
Discovering Evolution Factors,Biology,"Yates, Kylee J."
How Archeology Impacts Animal Biology?,Biology,"Lynch, Price A."
Natural Selection Theory: The Discovery and Its Impact,Biology,"Nolan, Neve J."
Effects of Whale Hunting,Biology,"Mueller, Raven R."
Dead Branches of Evolution,Biology,"Thomas, Ishmael R."
Famous Biologist Antonie van Leeuwenhoek,Biology,"Wiggins, Zahir P."
Edward Jenner and the History of Vaccination,Biology,"Nicholson, Keane Q."
Rachel Carson’s Perspective on Environmental Safety,Biology,"Spears, Carter P."
Stephen Jay Gold’s Paleontology: How History and Biology are Combined,Biology,"Obrien, Cecilia W."
Molecular and Genome Evolution,Biology,"King, Kelly M."
Comparative Genomics,Biology,"Hardin, Oleg I."
The Evolutionary Biology of Infectious Diseases,Biology,"Leonard, Amethyst V."
Modern Technology and Scientific Tools in Biology,Biology,"Good, Ethan M."
Neurobiological Explanation of Sleep,Biology,"Griffith, Ethan W."
Symbiosis in Parasites,Biology,"Moody, Lila L."
Metabolism & Physical Exercise,Biology,"Frazier, Lucas T."
air quality monitoring,Electronics,"Shepard, Ethan V."
Agro Weeder technology,Electronics,"Horne, Kamal U."
iot based traffic control,Electronics,"Guthrie, Yolanda T."
Voice Controlled Home Automation,Electronics,"Blackwell, Uta D."
real time system,Electronics,"Johns, Vivien M."
cadence design,Electronics,"Haynes, Francis S."
automation of simulation,Electronics,"Hopkins, Ferdinand U."
ADS Advanced Design System simulations,Electronics,"Farrell, Germane F."
analog receiver,Electronics,"Dale, Madaline B."
RECEIVER DESIGN USING ADS,Electronics,"Horton, Quincy O."
electronic instruments,Electronics,"Barnes, Dawn K."
robot-seminar topic and report,Electronics,"Valentine, Axel J."
humanoid robot-seminar topic and report,Electronics,"Dunn, Kelly L."
robotics-seminar topic and report,Electronics,"Kaufman, Nell I."
home automation-seminar topic and report,Electronics,"Shepard, Ethan V."
IOT-seminar topic and report,Electronics,"Horne, Kamal U."
5G-seminar topic and report,Electronics,"Guthrie, Yolanda T."
advanced communication system,Electronics,"Blackwell, Uta D."
IOT Based Smart Energy,Electronics,"Johns, Vivien M."
devops,Electronics,"Haynes, Francis S."
QUADCOPTER-DESIGN-CONSTRUCTION-TESTING,Electronics,"Hopkins, Ferdinand U."
energy optimization in wireless sensor network,Electronics,"Farrell, Germane F."
metal detector robot,Electronics,"Dale, Madaline B."
wireless internet service,Electronics,"Horton, Quincy O."
military robot,Electronics,"Barnes, Dawn K."
military robotics,Electronics,"Valentine, Axel J."
Application of Image Processing in Military,Electronics,"Dunn, Kelly L."
military applications of wireless sensor networks,Electronics,"Kaufman, Nell I."
military applications artificial intelligence,Electronics,Camille Abboud
secure automation system,Electronics,Christopher Abraham

Income statement (ZAR '000),"Jun 2020","Dec 2019","Jun 2019","Dec 2018","Jun 2018","Dec 2017","Jun 2017","Dec 2016","Jun 2016","Dec 2015","Jun 2015","Dec 2014","Jun 2014","Dec 2013","Jun 2013","Dec 2012","Jun 2012","Dec 2011","Jun 2011","Dec 2010","Jun 2010",
,"Interim (6m)","Final (12m)","Interim (6m)","Final (12m)","Interim (6m)","Final (12m)","Interim (6m)","Final (12m)","Interim (6m)","Final (12m)","Interim (6m)","Final (12m)","Interim (6m)","Final (12m)","Interim (6m)","Final (12m)","Interim (6m)","Final (12m)","Interim (6m)","Final (12m)","Interim (6m)",
,"31 Aug 2020","23 Mar 2020","29 Aug 2019","18 Mar 2019","27 Aug 2018","19 Mar 2018","21 Aug 2017","22 Mar 2017","22 Aug 2016","14 Mar 2016","24 Aug 2015","23 Mar 2015","25 Aug 2014","18 Mar 2014","26 Aug 2013","18 Mar 2013","27 Aug 2012","19 Mar 2012","22 Aug 2011","28 Mar 2011","23 Aug 2010",
"Turnover",2828500,5108000,2499200,4389000,2175400,3937700,2000100,3353100,1637800,2707700,1277700,1931800,959200,1766300,881700,1687200,850400,1605600,791000,1470100,740200,
"EBITDA (ProfileData Calc)",,,,,,785400,,747700,361000,563800,259700,343600,161500,297700,140700,273900,132400,298000,,278700,,
"EBITDA (company calc)",,1173600,,1083800,,823300,,,,,,,,,,,,,,,,
"Depreciation",,,,,,155300,,132500,63800,109600,51400,84400,41300,69900,35200,67600,34200,62300,,66400,,
"Operating Income",444200,869100,427600,808200,404000,668000,344000,608100,293200,448300,203000,256400,117400,221700,100600,200000,92400,230000,110200,202900,100500,
"Profit Before Exceptional Items",444200,869100,427600,808200,404000,668000,344000,608100,293200,448300,203000,256400,117400,221700,100600,200000,92400,230000,110200,202900,100500,
"Exceptional Item 1",-43200,13500,13300,-39500,-33300,-31100,,,,,,,,,,-1500,,-5300,,,,
"Profit Before Interest And Tax",401000,882600,440900,768700,370700,636900,344000,608100,293200,448300,203000,256400,117400,221700,100600,198500,92400,224700,110200,202900,100500,
"Interest Received",1100,5200,4100,3700,1100,3900,2500,12600,4200,7100,5300,2800,2800,6100,4900,7800,5800,11000,7500,9400,6400,
"Interest Paid",118900,227000,105100,195700,89400,103000,44400,94300,35700,126800,55900,11900,2500,3100,1300,3800,500,200,400,200,300,
"Net Interest Paid/(Received)",117800,221800,101000,192000,88300,99100,41900,81700,31500,119700,50600,9100,-300,-3000,-3600,-4000,-5300,-10800,-7100,-9200,-6100,
"Income Before Tax",283200,660800,339900,576700,282400,537800,302100,526400,261700,328600,152400,247300,117700,224700,104200,202500,97700,235500,117300,212100,106600,
"Taxation",98500,192500,97800,180600,92800,160100,88700,148500,73000,102500,47800,80200,36600,69000,32600,64100,31000,79200,37300,63300,33600,
"Profit For The Period",184700,468300,242100,396100,189600,377700,213400,377900,188700,226100,104600,167100,81100,155700,71600,138400,66700,156300,80000,148800,73000,
"Income Attributable To Minority Interests",2800,-1100,2700,10100,9600,10700,7600,5500,200,1200,,,,,,,,,,,,
"Attributable Income Before Extraordinary Items",181900,469400,239400,386000,180000,367000,205800,372400,188500,224900,104600,167100,81100,155700,71600,138400,66700,156300,80000,148800,73000,
"Income Attributable To Equity Holders",181900,469400,239400,386000,180000,367000,205800,372400,188500,224900,104600,167100,81100,155700,71600,138400,66700,156300,80000,148800,73000,
"Total Comprehensive Income/Loss for the period",271100,449800,223400,448700,240200,371300,212600,371600,187000,238000,104600,,,,,,,,,,,
"Headline Earnings (Cont Ops)",216400,463700,233800,382900,181200,367500,205900,373500,189600,228400,104400,167500,81200,156000,71500,139100,66500,161800,80100,148600,72900,
"Enterprise Value (EV)",5699660,8501740,9483680,10141400,10105660,10821640,10636740,10346088,8753508,8896848,6828906,4101510,3690365,2970226,2863077,2674151,2283310,2633357,2075104,2347487,2246820,

surgery,age,hospital_num,rectal_temperature,pulse,respiratory_rate,temperature_extremities,peripheral_pulse,mucous_membranes,capillary_refill_time,pain,peristalsis,abdominal_distension,nasogastric_tube,nasogastric_reflux,nasogastric_reflux_ph,rectal_examination,abdomen,packed_cell_volume,total_protein,abdominocentesis_appearance,abdomcentesis_total_protein,outcome,surgical_lesion,lesion_type_1,lesion_type_2,lesion_type_3,cp_data
2,1,530101,38.5,66,28,3,3,?,2,5,4,4,?,?,?,3,5,45,8.4,?,?,2,2,11300,0,0,2
1,1,534817,39.2,88,20,?,?,4,1,3,4,2,?,?,?,4,2,50,85,2,2,3,2,2208,0,0,2
2,1,530334,38.3,40,24,1,1,3,1,3,3,1,?,?,?,1,1,33,6.7,?,?,1,2,0,0,0,1
1,9,5290409,39.1,164,84,4,1,6,2,2,4,4,1,2,5,3,?,48,7.2,3,5.3,2,1,2208,0,0,1
2,1,530255,37.3,104,35,?,?,6,2,?,?,?,?,?,?,?,?,74,7.4,?,?,2,2,4300,0,0,2
2,1,528355,?,?,?,2,1,3,1,2,3,2,2,1,?,3,3,?,?,?,?,1,2,0,0,0,2
1,1,526802,37.9,48,16,1,1,1,1,3,3,3,1,1,?,3,5,37,7,?,?,1,1,3124,0,0,2
1,1,529607,?,60,?,3,?,?,1,?,4,2,2,1,?,3,4,44,8.3,?,?,2,1,2208,0,0,2
2,1,530051,?,80,36,3,4,3,1,4,4,4,2,1,?,3,5,38,6.2,?,?,3,1,3205,0,0,2
2,9,5299629,38.3,90,?,1,?,1,1,5,3,1,2,1,?,3,?,40,6.2,1,2.2,1,2,0,0,0,1
1,1,528548,38.1,66,12,3,3,5,1,3,3,1,2,1,3,2,5,44,6,2,3.6,1,1,2124,0,0,1
2,1,527927,39.1,72,52,2,?,2,1,2,1,2,1,1,?,4,4,50,7.8,?,?,1,1,2111,0,0,2
1,1,528031,37.2,42,12,2,1,1,1,3,3,3,3,1,?,4,5,?,7,?,?,1,2,4124,0,0,2
2,9,5291329,38,92,28,1,1,2,1,1,3,2,3,?,7.2,1,1,37,6.1,1,?,2,2,0,0,0,1
1,1,534917,38.2,76,28,3,1,1,1,3,4,1,2,2,?,4,4,46,81,1,2,1,1,2112,0,0,2
1,1,530233,37.6,96,48,3,1,4,1,5,3,3,2,3,4.5,4,?,45,6.8,?,?,2,1,3207,0,0,2
1,9,5301219,?,128,36,3,3,4,2,4,4,3,3,?,?,4,5,53,7.8,3,4.7,2,2,1400,0,0,1
2,1,526639,37.5,48,24,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,1,2,0,0,0,2
1,1,5290481,37.6,64,21,1,1,2,1,2,3,1,1,1,?,2,5,40,7,1,?,1,1,4205,0,0,1
2,1,532110,39.4,110,35,4,3,6,?,?,3,3,?,?,?,?,?,55,8.7,?,?,1,2,0,0,0,2
1,1,530157,39.9,72,60,1,1,5,2,5,4,4,3,1,?,4,4,46,6.1,2,?,1,1,2111,0,0,2
2,1,529340,38.4,48,16,1,?,1,1,1,3,1,2,3,5.5,4,3,49,6.8,?,?,1,2,0,0,0,2
1,1,521681,38.6,42,34,2,1,4,?,2,3,1,?,?,?,1,?,48,7.2,?,?,1,1,3111,0,0,2
1,9,534998,38.3,130,60,?,3,?,1,2,4,?,?,?,?,?,?,50,70,?,?,1,1,3111,0,0,2
1,1,533692,38.1,60,12,3,3,3,1,?,4,3,3,2,2,?,?,51,65,?,?,1,1,3111,0,0,2
2,1,529518,37.8,60,42,?,?,?,1,?,?,?,?,?,?,?,?,?,?,?,?,1,2,0,0,0,2
1,1,530526,38.3,72,30,4,3,3,2,3,3,3,2,1,?,3,5,43,7,2,3.9,1,1,3111,0,0,1
1,1,528653,37.8,48,12,3,1,1,1,?,3,2,1,1,?,1,3,37,5.5,2,1.3,1,2,4122,0,0,1
1,1,5279442,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,2,2,4300,0,0,2
2,1,535415,37.7,48,?,2,1,1,1,1,1,1,1,1,?,?,?,45,76,?,?,1,2,0,0,0,2
2,1,529475,37.7,96,30,3,3,4,2,5,4,4,3,2,4,4,5,66,7.5,?,?,2,1,4205,0,0,2
2,1,530242,37.2,108,12,3,3,4,2,2,4,2,?,3,6,3,3,52,8.2,3,7.4,3,1,2207,0,0,1
1,1,529427,37.2,60,?,2,1,1,1,3,3,3,2,1,?,4,5,43,6.6,?,?,1,1,2209,0,0,2
1,1,529663,38.2,64,28,1,1,1,1,3,1,?,?,?,?,4,4,49,8.6,2,6.6,1,1,2208,0,0,1
1,1,529796,?,100,30,3,3,4,2,5,4,4,3,3,?,4,4,52,6.6,?,?,1,1,1124,0,0,2
2,1,528812,?,104,24,4,3,3,2,4,4,3,?,3,?,?,2,73,8.4,?,?,3,1,7111,0,0,2
2,1,529493,38.3,112,16,?,3,5,2,?,?,1,1,2,?,?,5,51,6,2,1,3,2,5205,0,0,1
1,1,533847,37.8,72,?,?,3,?,1,5,3,1,?,1,?,1,1,56,80,1,2,1,1,3111,0,0,2
2,1,528996,38.6,52,?,1,1,1,1,3,3,2,1,1,?,1,3,32,6.6,1,5,1,2,0,0,0,1
1,9,5277409,39.2,146,96,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,2,1,2113,0,0,2
1,1,529498,?,88,?,3,3,6,2,5,3,3,1,3,?,4,5,63,6.5,3,?,2,1,4205,0,0,2
2,9,5288249,39,150,72,?,?,?,?,?,?,?,?,?,?,?,?,47,8.5,?,0.1,1,1,9400,0,0,1
2,1,530301,38,60,12,3,1,3,1,3,3,1,1,1,?,2,2,47,7,?,?,1,2,3111,0,0,2
1,1,534069,?,120,?,3,4,4,1,4,4,4,1,1,?,?,5,52,67,2,2,3,1,3205,0,0,2
1,1,535407,35.4,140,24,3,3,4,2,4,4,?,2,1,?,?,5,57,69,3,2,3,1,3205,0,0,2
2,1,529827,?,120,?,4,3,4,2,5,4,4,1,1,?,4,5,60,6.5,3,?,2,1,3205,0,0,2
1,1,529888,37.9,60,15,3,?,4,2,5,4,4,2,2,?,4,5,65,7.5,?,?,1,1,2305,0,0,1
2,1,529821,37.5,48,16,1,1,1,1,1,1,1,1,1,?,1,?,37,6.5,?,?,1,2,0,0,0,2
1,1,528890,38.9,80,44,3,3,3,2,2,3,3,2,2,7,3,1,54,6.5,3,?,2,1,7111,0,0,2
2,1,529642,37.2,84,48,3,3,5,2,4,1,2,1,2,?,2,1,73,5.5,2,4.1,2,2,4300,0,0,1
2,1,529766,38.6,46,?,1,1,2,1,1,3,2,1,1,?,?,2,49,9.1,1,1.6,1,2,3111,0,0,1
1,1,527706,37.4,84,36,1,?,3,2,3,3,2,?,?,?,4,5,?,?,3,?,2,1,7209,0,0,1
2,1,529483,?,?,?,1,1,3,1,1,3,1,?,?,?,2,2,43,7.7,?,?,1,2,3111,0,0,2
2,1,530544,38.6,40,20,?,?,?,1,?,?,?,?,?,?,?,?,41,6.4,?,?,1,2,3111,0,0,1
2,1,529461,40.3,114,36,3,3,1,2,2,3,3,2,1,7,1,5,57,8.1,3,4.5,3,1,7400,0,0,1
1,9,5282839,38.6,160,20,3,?,5,1,3,3,4,3,?,?,4,?,38,?,2,?,2,1,7111,0,0,1
1,1,528872,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,24,6.7,?,?,1,1,3112,0,0,2
1,1,529640,?,64,36,2,?,2,1,5,3,3,2,2,?,?,?,42,7.7,?,?,2,1,3209,0,0,2
1,1,528298,?,?,20,4,3,3,?,5,4,3,2,?,?,4,4,53,5.9,3,?,2,1,3205,0,0,1
2,1,528904,?,96,?,3,3,3,2,5,4,4,1,2,?,4,5,60,?,?,?,2,1,4205,0,0,2
2,1,530438,37.8,48,32,1,1,3,1,2,1,?,1,1,?,4,5,37,6.7,?,?,1,2,2124,0,0,2
2,1,527957,38.5,60,?,2,2,1,1,1,2,2,2,1,?,1,1,44,7.7,?,?,1,2,0,0,0,2
1,1,528630,37.8,88,22,2,1,2,1,3,?,?,2,?,?,4,?,64,8,1,6,2,1,3205,0,0,1
2,1,534293,38.2,130,16,4,3,4,2,2,4,4,1,1,?,?,?,65,82,2,2,3,2,2209,1400,0,2
1,1,529667,39,64,36,3,1,4,2,3,3,2,1,2,7,4,5,44,7.5,3,5,1,1,2113,0,0,1
1,1,534885,?,60,36,3,1,3,1,3,3,2,1,1,?,3,4,26,72,2,1,1,1,2208,0,0,2
2,1,534784,37.9,72,?,1,1,5,2,3,3,1,1,3,2,3,4,58,74,1,2,1,1,2322,0,0,2
2,1,528931,38.4,54,24,1,1,1,1,1,3,1,2,1,?,3,2,49,7.2,1,?,1,2,3111,0,0,1
2,1,529777,?,52,16,1,?,3,1,?,?,?,2,3,5.5,?,?,55,7.2,?,?,1,2,2124,0,0,2
2,1,530276,38,48,12,1,1,1,1,1,3,?,1,1,?,3,2,42,6.3,2,4.1,1,2,3111,0,0,1
2,1,528214,37,60,20,3,?,?,1,3,?,3,2,2,4.5,4,4,43,7.6,?,?,3,1,2209,0,0,1
1,1,529424,37.8,48,28,1,1,1,1,1,2,1,2,?,?,1,1,46,5.9,2,7,1,2,0,0,0,1
1,1,5299253,37.7,56,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,2,1,2113,0,0,2
1,1,528469,38.1,52,24,1,1,5,1,4,3,1,2,3,7,1,?,54,7.5,2,2.6,2,1,2112,0,0,1
1,9,5292929,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,37,4.9,?,?,2,1,11124,0,0,2
1,9,534092,39.7,100,?,3,3,5,2,2,3,?,?,?,?,?,?,48,57,2,2,3,1,1400,0,0,2
1,1,534615,37.6,38,20,3,3,1,1,3,3,2,?,?,?,3,?,37,68,?,?,1,1,3205,0,0,2
2,1,534753,38.7,52,20,2,?,1,1,1,1,1,1,1,?,1,1,33,77,?,?,1,2,0,0,0,2
1,1,530693,?,?,?,3,3,3,3,5,3,3,3,2,?,4,5,46,5.9,?,?,2,1,3025,0,0,2
1,1,527463,37.5,96,18,1,3,6,2,3,4,2,2,3,5,?,4,69,8.9,3,?,1,1,2208,0,0,1
1,1,527518,36.4,98,35,3,3,4,1,4,3,2,?,?,?,4,4,47,6.4,3,3.6,2,1,2205,0,0,1
1,1,534756,37.3,40,?,?,3,1,1,2,3,2,3,1,?,3,5,36,?,3,2,1,1,3111,0,0,2
1,9,5290759,38.1,100,80,3,1,2,1,3,4,1,?,?,?,1,?,36,5.7,?,?,1,1,3111,0,0,2
1,1,5279822,38,?,24,3,3,6,2,5,?,4,1,1,?,?,?,68,7.8,?,?,2,1,3205,0,0,2
1,1,529849,37.8,60,80,1,3,2,2,2,3,3,?,2,5.5,4,?,40,4.5,2,?,1,1,5206,0,0,1
2,1,529304,38,54,30,2,3,3,3,3,1,2,2,2,?,?,4,45,6.2,?,?,1,2,400,0,0,2
1,1,529388,?,88,40,3,3,4,2,5,4,3,3,?,?,4,5,50,7.7,3,1.4,2,1,4205,0,0,1
2,1,528006,?,40,16,?,?,?,1,?,?,?,?,?,?,?,?,50,7,2,3.9,3,1,2208,0,0,1
2,1,529703,39,64,40,1,1,5,1,3,3,2,2,1,?,3,3,42,7.5,2,2.3,1,2,5000,0,0,1
2,1,535381,38.3,42,10,1,1,1,1,1,1,1,?,?,?,?,?,38,61,?,?,1,2,0,0,0,2
2,1,534197,38,52,16,?,?,?,?,2,?,?,?,3,1,1,1,53,86,?,?,1,1,2322,0,0,2
2,1,529461,40.3,114,36,3,3,1,2,2,3,3,2,1,7,1,5,57,8.1,3,4.5,2,1,3205,0,0,1
2,1,530251,38.8,50,20,3,1,1,1,1,1,1,2,1,?,3,1,42,6.2,?,?,1,2,0,0,0,2
2,1,530310,?,?,?,3,3,1,1,5,3,3,1,1,?,4,5,38,6.5,?,?,2,1,3205,0,0,2
2,1,528729,37.5,48,30,4,1,3,1,?,2,1,1,1,?,1,1,48,8.6,?,?,1,2,0,0,0,2
1,1,535158,37.3,48,20,?,1,2,1,3,3,3,2,1,?,3,5,41,69,?,?,1,1,3205,0,0,2
2,1,530319,?,84,36,?,?,3,1,?,3,1,2,1,?,3,2,44,8.5,?,?,1,1,3111,0,0,2
1,1,534145,38.1,88,32,3,3,4,1,2,3,3,?,3,1,4,5,55,60,?,?,3,2,3205,0,0,2
2,1,534135,37.7,44,40,2,1,3,1,1,3,2,1,1,?,1,5,41,60,?,?,1,2,0,0,0,2
2,1,530002,39.6,108,51,3,3,6,2,2,4,3,1,2,?,3,5,59,8,2,2.6,1,2,4300,0,0,1
1,1,535364,38.2,40,16,3,3,1,1,1,3,?,?,?,?,1,1,34,66,?,?,1,2,0,0,0,2
1,1,534899,?,60,20,4,3,4,2,5,4,?,?,1,?,4,5,?,?,?,?,3,1,3205,0,0,2
2,1,534938,38.3,40,16,3,?,1,1,2,?,?,?,?,?,?,?,37,57,?,?,1,2,0,0,0,2
1,9,5292489,38,140,68,1,1,1,1,3,3,2,?,?,?,2,1,39,5.3,?,?,1,1,7111,0,0,2
1,1,527563,37.8,52,24,1,3,3,1,4,4,1,2,3,5.7,2,5,48,6.6,1,3.7,2,1,5400,0,0,2
1,1,530381,?,70,36,1,?,3,2,2,3,2,2,?,?,4,5,36,7.3,?,?,1,1,31110,0,0,2
1,1,528668,38.3,52,96,?,3,3,1,?,?,?,1,1,?,1,?,43,6.1,?,?,1,1,3209,0,0,1
2,1,529764,37.3,50,32,1,1,3,1,1,3,2,?,?,?,1,?,44,7,?,?,1,2,0,0,0,2
1,1,533696,38.7,60,32,4,3,2,2,4,4,4,?,?,?,4,5,53,64,3,2,3,1,3205,0,0,2
1,9,5297379,38.4,84,40,3,3,2,1,3,3,3,1,1,?,?,?,36,6.6,2,2.8,2,1,2205,0,0,1
1,1,527544,?,70,16,3,4,5,2,2,3,2,2,1,?,4,5,60,7.5,?,?,2,1,2112,0,0,2
1,1,533736,38.3,40,16,3,?,?,1,1,3,2,?,?,?,?,?,38,58,1,2,1,1,3111,7111,0,2
1,1,534963,?,40,?,2,1,1,1,1,3,1,1,1,?,?,5,39,56,?,?,1,1,3111,0,0,2
1,1,527933,36.8,60,28,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,10,2,1,3205,0,0,1
1,1,532349,38.4,44,24,3,?,4,?,5,4,3,2,1,?,4,5,50,77,?,?,1,1,3205,0,0,2
2,1,533723,?,?,40,3,1,1,1,3,3,2,?,?,?,?,?,45,70,?,?,1,2,0,0,0,2
1,1,535208,38,44,12,1,1,1,1,3,3,3,2,1,?,4,5,42,65,?,?,1,1,3205,3111,0,2
2,1,5290482,39.5,?,?,3,3,4,2,3,4,3,?,3,5.5,4,5,?,6.7,1,?,3,1,4205,0,0,2
1,1,533983,36.5,78,30,1,?,1,1,5,3,1,?,1,?,?,?,34,75,2,1,1,1,3112,6112,0,2
2,1,535166,38.1,56,20,2,1,2,1,1,3,1,1,1,?,?,?,46,70,?,?,1,2,0,0,0,2
1,1,528682,39.4,54,66,1,1,2,1,2,3,2,1,1,?,3,4,39,6,2,?,1,1,2206,0,0,1
1,1,534556,38.3,80,40,?,?,6,2,4,3,1,?,2,?,1,4,67,10.2,2,1,3,1,2208,0,0,2
2,1,534579,38.7,40,28,2,1,1,1,3,1,1,?,?,?,1,?,39,62,1,1,1,2,0,0,0,2
1,1,530360,38.2,64,24,1,1,3,1,4,4,3,2,1,?,4,4,45,7.5,1,2,2,1,3205,0,0,1
2,1,529840,37.6,48,20,3,1,4,1,1,1,3,2,1,?,1,1,37,5.5,?,?,3,1,2205,0,0,2
1,1,528461,38,42,68,4,1,1,1,3,3,2,2,2,?,4,4,41,7.6,?,?,1,1,2205,0,0,2
1,1,530384,38.7,?,?,3,1,3,1,5,4,2,?,?,?,?,?,33,6.5,2,?,1,1,31110,0,0,2
1,1,5262541,37.4,50,32,3,3,?,1,4,4,1,2,1,?,1,?,45,7.9,2,1,1,1,2208,0,0,1
1,1,535330,37.4,84,20,?,?,3,1,2,3,3,?,?,?,?,?,31,61,?,1,3,2,2208,0,0,2
1,1,527698,38.4,49,?,?,?,1,1,?,?,1,2,1,?,?,?,44,7.6,?,?,1,1,2206,0,0,2
1,1,528964,37.8,30,12,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,2,1,2113,0,0,2
2,1,530670,37.6,88,36,3,1,1,1,3,3,2,1,3,1.5,?,?,44,6,?,?,2,1,1400,0,0,2
?,1,534572,38,48,20,3,1,3,1,4,3,1,2,1,?,3,5,43,73,2,1,?,1,3111,0,0,2
2,1,530294,37.9,40,24,1,1,1,1,2,3,1,?,?,?,?,3,40,5.7,?,?,1,1,400,0,0,2
1,1,527524,?,100,?,3,?,4,2,5,4,?,2,?,?,2,?,59,6.3,?,?,2,1,4205,0,0,2
1,9,5287179,38.1,136,48,3,3,3,1,5,1,3,2,2,4.4,2,?,33,4.9,2,2.9,2,1,2205,0,0,1
1,1,530693,?,?,?,3,3,3,2,5,3,3,3,2,?,4,5,46,5.9,?,?,2,1,3025,0,0,2
1,1,534324,38,48,?,1,1,1,1,1,2,4,2,2,?,4,5,?,?,?,?,1,1,3111,0,0,2
2,1,532349,38,56,?,1,2,3,1,1,1,1,1,1,?,1,1,42,71,?,?,1,2,0,0,0,2
2,1,534491,38,60,32,1,1,?,1,3,3,?,1,1,?,?,?,50,7,1,1,1,2,0,0,0,2
1,1,529960,38.1,44,9,3,1,1,1,2,2,1,1,1,?,4,5,31,7.3,?,?,1,2,5124,0,0,2
2,1,522979,36,42,30,?,?,5,1,?,?,?,?,?,?,?,?,64,6.8,?,?,2,2,1400,0,0,2
1,1,530402,?,120,?,4,3,6,2,5,4,4,?,?,?,4,5,57,4.5,3,3.9,2,1,3205,0,0,1
1,1,529424,37.8,48,28,1,1,1,2,1,2,1,2,?,?,1,1,46,5.9,2,7,1,2,0,0,0,1
1,1,534519,37.1,84,40,3,3,6,1,2,4,4,3,2,2,4,5,75,81,?,?,3,2,1400,0,0,2
2,1,535246,?,80,32,3,3,2,1,2,3,3,2,1,?,3,?,50,80,?,?,1,1,0,0,0,2
1,1,534115,38.2,48,?,1,3,3,1,3,4,4,1,3,2,4,5,42,71,?,?,1,1,3111,0,0,2
2,1,530001,38,44,12,2,1,3,1,3,4,3,1,2,6.5,1,4,33,6.5,?,?,2,1,2209,0,0,2
1,1,529272,38.3,132,?,?,3,6,2,2,4,2,2,3,6.2,4,4,57,8,?,5.2,1,1,2112,0,0,1
2,1,535314,38.7,48,24,?,?,?,?,1,1,?,1,1,?,1,?,34,63,?,?,1,2,0,0,0,2
2,1,533793,38.9,44,14,3,1,1,1,2,3,2,?,?,?,?,2,33,64,?,?,1,2,0,0,0,2
1,1,529399,39.3,?,?,4,3,6,2,4,4,2,1,3,4,4,4,75,?,3,4.3,2,1,2207,0,0,1
1,1,533836,?,100,?,3,3,4,2,?,4,4,2,1,2,?,?,68,64,3,2,1,1,2209,0,0,2
2,1,528804,38.6,48,20,3,1,1,1,1,3,2,2,1,?,3,2,50,7.3,1,?,1,2,3111,0,0,1
2,1,535163,38.8,48,40,1,1,3,1,3,3,4,2,?,?,?,5,41,65,?,?,1,1,4124,0,0,2
2,1,528247,38,48,20,3,3,4,1,1,4,2,2,?,5,?,2,49,8.3,1,?,1,2,400,0,0,1
2,1,528996,38.6,52,20,1,1,1,1,3,3,2,1,1,?,1,3,36,6.6,1,5,1,2,0,0,0,1
1,1,533928,37.8,60,24,1,?,3,2,?,4,4,2,3,2,?,5,52,75,?,?,3,1,2205,0,0,2
2,1,528248,38,42,40,3,1,1,1,3,3,1,?,?,?,?,?,?,?,?,?,1,2,3111,0,0,2
2,1,528134,?,?,12,1,1,2,1,2,1,2,3,1,?,1,3,44,7.5,2,?,1,2,0,0,0,1
1,1,527916,?,?,?,?,?,?,?,4,?,?,1,1,?,?,5,35,58,2,1,1,1,4205,0,0,2
1,1,530431,38.3,42,24,?,?,?,1,?,?,?,?,?,?,?,?,40,8.5,?,?,2,1,7113,0,0,2
2,1,535176,39.5,60,10,3,?,?,2,3,3,2,2,1,?,3,?,38,56,1,?,1,2,0,0,0,2
1,1,533942,38,66,20,1,3,3,1,5,3,1,1,1,?,3,?,46,46,3,2,3,1,6209,0,0,2
1,1,528523,38.7,76,?,1,1,5,2,3,3,2,2,2,?,4,4,50,8,?,?,1,1,2208,0,0,1
1,1,534925,39.4,120,48,?,?,5,1,?,3,3,1,?,?,4,?,56,64,1,2,3,2,1400,0,0,2
1,1,527916,38.3,40,18,1,1,1,1,3,1,1,?,?,?,2,1,43,5.9,1,?,1,2,0,0,0,1
2,1,528299,?,44,24,1,1,1,1,3,3,1,2,1,?,?,1,?,6.3,?,?,1,2,3111,0,0,2
1,1,530254,38.4,104,40,1,1,3,1,2,4,2,2,3,6.5,?,4,55,8.5,?,?,1,1,2124,0,0,2
1,1,535085,?,65,24,?,?,?,2,5,?,4,3,1,?,?,5,?,?,?,?,3,1,3205,0,0,2
2,1,532985,37.5,44,20,1,1,3,1,?,1,1,?,?,?,1,?,35,7.2,?,?,1,2,0,0,0,2
2,1,527677,39,86,16,3,3,5,?,3,3,3,?,2,?,?,?,68,5.8,3,6,2,1,5400,0,0,1
1,1,535292,38.5,129,48,3,3,3,1,2,4,3,1,3,2,?,?,57,66,3,2,1,1,2206,0,0,2
1,1,529729,?,104,?,3,3,5,2,2,4,3,?,3,?,4,4,69,8.6,2,3.4,2,1,2207,0,0,1
2,1,518476,?,?,?,3,4,6,?,4,?,4,?,?,?,?,?,?,?,?,?,2,1,3400,0,0,1
1,1,527929,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,1,1,2208,0,0,2
1,1,535130,38.2,60,30,1,1,3,1,3,3,1,2,1,?,3,2,48,66,?,?,1,1,6112,0,0,2
1,1,523190,?,68,14,?,?,4,1,4,?,?,?,1,4.3,?,?,?,?,2,2.8,2,1,4205,0,0,1
1,1,533968,?,60,30,3,3,4,2,5,4,4,1,1,?,4,?,45,70,3,2,1,1,6111,3111,0,2
2,1,528151,38.5,100,?,3,3,5,2,4,3,4,2,1,?,4,5,?,?,?,?,3,2,1111,0,0,1
1,1,530239,38.4,84,30,3,1,5,2,4,3,3,2,3,6.5,4,4,47,7.5,3,?,2,1,2300,0,0,2
2,1,528305,37.8,48,14,?,?,1,1,3,?,2,1,3,5.3,1,?,35,7.5,?,?,1,2,3111,0,0,1
1,1,5279822,38,?,24,3,3,6,2,5,?,4,1,1,?,?,?,68,7.8,?,?,2,1,2205,0,0,2
2,1,534857,37.8,56,16,1,1,2,1,2,1,1,2,1,?,1,?,44,68,1,1,1,2,0,0,0,2
2,1,534053,38.2,68,32,2,2,2,1,1,1,1,3,1,?,1,1,43,65,?,?,1,2,0,0,0,2
1,1,534833,38.5,120,60,4,3,6,2,?,3,?,?,?,?,?,?,54,?,?,?,1,1,5400,0,0,2
1,1,5278331,39.3,64,90,2,3,1,1,?,3,1,1,2,?,?,?,39,6.7,?,?,1,1,21110,0,0,2
1,1,527365,38.4,80,30,4,3,1,1,3,3,3,3,3,?,4,5,32,6.1,3,4.3,1,1,7209,0,0,1
1,1,533887,38.5,60,?,1,1,?,1,?,1,1,?,?,?,?,?,33,53,1,?,1,1,4111,0,0,2
1,1,5299603,38.3,60,16,3,1,1,1,2,1,1,2,2,3,1,4,30,6,1,3,1,1,31110,0,0,2
1,1,528742,37.1,40,8,?,1,4,1,3,3,1,1,1,?,3,3,23,6.7,3,?,1,1,3133,0,0,1
2,9,5287279,?,100,44,2,1,1,1,4,1,1,?,?,?,1,?,37,4.7,?,?,1,2,7111,0,0,2
1,1,534788,38.2,48,18,1,1,1,1,3,3,3,1,2,?,4,?,48,74,1,2,1,1,5111,0,0,2
1,1,529373,?,60,48,3,3,4,2,4,3,4,?,?,?,?,?,58,7.6,?,?,2,1,3205,0,0,2
2,1,534163,37.9,88,24,1,1,2,1,2,2,1,?,?,?,4,1,37,56,?,?,1,2,0,0,0,2
2,1,533697,38,44,12,3,1,1,?,?,1,2,?,?,?,1,?,42,64,?,?,1,2,0,0,0,2
2,1,529628,38.5,60,20,1,1,5,2,2,2,1,2,1,?,2,3,63,7.5,2,2.3,3,2,300,0,0,1
2,1,521399,38.5,96,36,3,3,?,2,2,4,2,1,2,?,4,5,70,8.5,?,?,2,1,1400,0,0,1
2,1,533885,38.3,60,20,1,1,1,2,1,3,1,?,?,?,3,?,34,66,?,?,1,2,0,0,0,2
2,1,534157,38.5,60,40,3,1,2,1,2,1,2,?,?,?,3,2,49,59,?,?,1,2,0,0,0,2
1,1,528047,37.3,48,12,1,?,3,1,3,1,3,2,1,?,3,3,40,6.6,2,?,1,1,3205,0,0,1
1,1,528641,38.5,86,?,1,1,3,1,4,4,3,2,1,?,3,5,45,7.4,1,3.4,2,1,3209,0,0,1
1,1,534073,37.5,48,40,?,?,?,?,?,?,?,1,1,?,?,5,41,55,3,2,3,1,2208,0,0,2
2,1,529685,37.2,36,9,1,1,1,1,2,3,1,2,1,?,4,1,35,5.7,?,?,1,2,31110,0,0,2
1,1,529528,39.2,?,23,3,1,3,1,4,4,2,2,?,?,?,?,36,6.6,1,3,1,1,3115,0,0,1
2,1,528151,38.5,100,?,3,3,5,2,4,3,4,2,1,?,4,5,?,?,?,?,3,2,4124,0,0,2
1,1,535137,38.5,96,30,2,3,4,2,4,4,3,2,1,?,3,5,50,65,?,?,1,1,6111,3112,0,2
1,1,530297,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,45,8.7,?,?,2,1,2208,0,0,2
1,1,535338,37.8,88,80,3,3,5,2,?,3,3,2,3,?,4,5,64,89,?,?,3,1,3205,0,0,2
2,1,534478,37.5,44,10,3,1,1,1,3,1,2,2,?,?,3,3,43,51,1,1,1,2,0,0,0,2
1,1,530401,37.9,68,20,?,1,2,1,2,4,2,?,?,?,1,5,45,4,3,2.8,2,1,5400,0,0,1
1,1,529893,38,86,24,4,3,4,1,2,4,4,1,1,?,4,5,45,5.5,1,10.1,2,1,3111,0,0,1
1,9,5294369,38.9,120,30,1,3,2,2,3,3,3,3,1,3,?,?,47,6.3,1,?,1,2,2124,0,0,2
1,1,528183,37.6,45,12,3,1,3,1,?,2,2,2,1,?,1,4,39,7,2,1.5,1,1,2112,0,0,1
2,1,529183,38.6,56,32,2,1,1,1,1,1,1,2,?,?,2,?,40,7,2,2.1,1,2,0,0,0,1
1,1,529135,37.8,40,12,1,1,1,1,1,2,1,2,1,?,1,2,38,7,?,?,1,1,3111,0,0,2
2,1,528977,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,1,2,0,0,0,2
1,1,5279441,38,76,18,?,?,?,2,?,?,?,?,?,?,?,?,71,11,?,?,1,1,2209,0,0,1
1,1,535240,38.1,40,36,1,2,2,1,2,2,?,?,?,?,?,?,?,?,?,?,3,1,3112,0,0,2
1,1,529736,?,52,28,3,3,4,1,3,4,3,2,1,?,4,4,37,8.1,?,?,1,1,2111,0,0,2
1,1,535029,39.2,88,58,4,4,?,2,5,4,?,?,?,?,?,?,?,?,2,2,3,2,3205,0,0,2
1,1,535031,38.5,92,40,4,3,?,1,2,4,3,?,?,?,4,?,46,67,2,2,1,1,2208,0,0,2
1,1,528800,?,112,13,4,4,4,1,2,3,1,2,1,4.5,4,4,60,6.3,3,?,1,1,2205,0,0,1
1,1,528178,37.7,66,12,1,1,3,1,3,3,2,2,?,?,4,4,31.5,6.2,2,1.6,1,1,2208,0,0,1
1,1,535392,38.8,50,14,1,1,1,1,3,1,1,1,1,?,3,5,38,58,?,?,1,1,3111,0,0,2
2,1,528931,38.4,54,24,1,1,1,1,1,3,1,2,1,?,3,2,49,7.2,1,8,1,2,3111,0,0,1
1,1,528503,39.2,120,20,4,3,5,2,2,3,3,1,3,?,?,4,60,8.8,3,?,2,1,2205,0,0,2
1,9,5289419,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,45,6.5,2,?,1,1,9000,0,0,1
1,1,535196,37.3,90,40,3,?,6,2,5,4,3,2,2,?,1,5,65,50,3,2,3,1,3205,0,0,2
1,9,534597,38.5,120,70,?,?,?,?,?,1,?,2,?,?,1,?,35,54,1,1,1,1,4205,3111,2209,2
1,1,534280,38.5,104,40,3,3,?,1,4,3,4,?,?,?,?,?,?,?,?,?,1,1,2124,0,0,2
2,1,530028,39.5,92,28,3,3,6,1,5,4,1,?,3,?,4,?,72,6.4,?,3.6,2,2,3300,0,0,2
1,1,5262543,38.5,30,18,?,?,?,?,?,?,?,?,?,?,?,?,40,7.7,?,?,1,1,2113,0,0,2
1,1,530526,38.3,72,30,4,3,3,2,3,3,3,2,1,?,3,5,43,7,2,3.9,1,1,3113,0,0,1
2,1,528729,37.5,48,30,4,1,3,1,?,2,1,1,1,?,1,1,48,8.6,?,?,1,2,400,0,0,2
1,1,528469,38.1,52,24,1,1,5,1,4,3,1,2,3,7,1,?,54,7.5,2,2.6,2,1,2206,0,0,1
2,1,528179,38.2,42,26,1,1,1,1,3,1,2,?,?,?,1,?,36,6.9,?,?,1,2,3111,0,0,2
2,1,533750,37.9,54,42,2,1,5,1,3,1,1,?,1,?,?,2,47,54,3,1,1,2,0,0,0,2
2,1,528702,36.1,88,?,3,3,3,1,3,3,2,2,3,?,?,4,45,7,3,4.8,3,1,2209,0,0,1
1,1,534183,38.1,70,22,?,1,?,1,5,3,?,?,?,?,?,5,36,65,?,?,3,1,3205,0,0,2
1,1,529160,38,90,30,4,3,4,2,5,4,4,?,?,?,4,5,55,6.1,?,?,2,1,3205,0,0,2
1,1,529045,38.2,52,16,1,1,2,1,1,2,1,1,1,?,1,?,43,8.1,?,?,1,2,0,0,0,1
1,1,530354,?,36,32,1,1,4,1,5,3,3,2,3,4,?,4,41,5.9,?,?,2,1,2205,0,0,2
1,1,5281091,38.4,92,20,1,?,?,2,?,3,3,?,?,?,1,?,?,?,?,?,1,1,2208,0,0,1
1,9,5291409,38.2,124,88,1,3,2,1,2,3,4,?,?,?,?,?,47,8,1,?,1,1,9400,0,0,1
2,1,528904,?,96,?,3,3,3,2,5,4,4,?,1,?,4,5,60,?,?,?,2,1,41110,0,0,2
1,1,530366,37.6,68,32,3,?,3,1,4,2,4,2,2,6.5,1,5,47,7.2,1,?,1,1,3209,0,0,2
1,1,530170,38.1,88,24,3,3,4,1,5,4,3,2,1,?,3,4,41,4.6,?,?,2,1,2209,0,0,2
1,1,527709,38,108,60,2,3,4,1,4,3,3,2,?,?,3,4,?,?,3,?,1,1,2205,0,0,2
2,1,528169,38.2,48,?,2,?,1,2,3,3,1,2,1,?,?,2,34,6.6,?,?,1,2,3111,0,0,2
1,1,535043,39.3,100,51,4,4,6,1,2,4,1,1,3,2,?,4,66,13,3,2,3,1,2113,0,0,2
2,1,527940,36.6,42,18,3,3,2,1,1,4,1,1,1,?,?,5,52,7.1,?,?,2,1,5111,0,0,2
1,9,5291719,38.8,124,36,3,1,2,1,2,3,4,1,1,?,4,4,50,7.6,3,?,2,1,2208,0,0,1
2,1,530561,?,112,24,3,3,4,2,5,4,2,?,?,?,4,?,40,5.3,3,2.6,1,2,400,0,0,1
1,1,533738,?,80,?,3,3,3,1,4,4,4,?,?,?,4,5,43,70,?,?,1,1,3111,0,0,2
1,9,5294539,38.8,184,84,1,?,1,1,4,1,3,?,?,?,2,?,33,3.3,?,?,2,1,7111,0,0,2
1,1,533871,37.5,72,?,2,1,1,1,2,1,1,1,1,?,1,?,35,65,2,2,3,1,7209,0,0,2
1,1,529812,38.7,96,28,3,3,4,1,?,4,?,?,3,7.5,?,?,64,9,?,?,2,1,2205,0,0,1
2,1,534719,37.5,52,12,1,1,1,1,2,3,2,2,1,?,3,5,36,61,1,1,1,2,0,0,0,2
1,1,527734,40.8,72,42,3,3,1,1,2,3,1,2,1,?,?,?,54,7.4,3,?,2,1,11400,0,0,1
2,1,534933,38,40,25,?,1,1,1,4,3,2,1,1,?,4,?,37,69,?,?,1,2,0,0,0,2
2,1,529296,38.4,48,16,2,1,1,1,1,?,2,2,1,?,?,2,39,6.5,?,?,1,2,3111,0,0,1
2,9,5305629,38.6,88,28,?,?,?,?,?,?,?,?,?,?,?,?,35,5.9,?,?,1,2,0,0,0,2
1,1,528743,37.1,75,36,?,?,3,2,4,4,2,2,3,5,4,4,48,7.4,3,3.2,2,1,12208,0,0,1
1,1,530478,38.3,44,21,3,1,2,1,3,3,3,2,1,?,1,5,44,6.5,2,4.4,1,1,2209,0,0,1
2,1,528590,?,56,68,3,1,1,1,3,3,1,2,1,?,1,?,40,6,?,?,3,1,5206,0,0,2
2,1,529865,38.6,68,20,2,1,3,1,3,3,2,1,1,?,1,5,38,6.5,1,?,1,2,5124,0,0,1
2,1,527829,38.3,54,18,3,1,2,1,2,3,2,?,3,5.4,?,4,44,7.2,3,?,1,2,2124,0,0,1
1,1,534403,38.2,42,20,?,?,1,1,?,3,?,?,?,?,3,?,47,60,?,?,1,2,0,0,0,2
1,1,527883,39.3,64,90,2,3,1,1,?,3,1,1,2,6.5,1,5,39,6.7,?,?,1,1,31110,0,0,2
1,1,528570,37.5,60,50,3,3,1,1,3,3,2,2,2,3.5,3,4,35,6.5,?,?,2,1,2209,0,0,2
1,1,534626,37.7,80,?,3,3,6,1,5,4,1,2,3,?,3,1,50,55,3,2,1,1,4206,0,0,2
1,1,529796,?,100,30,3,3,4,2,5,4,4,3,3,?,4,4,52,6.6,?,?,1,1,2124,0,0,2
1,1,528638,37.7,120,28,3,3,3,1,5,3,3,1,1,?,?,?,65,7,3,?,2,1,4205,0,0,1
1,1,534624,?,76,?,?,3,?,?,?,4,4,?,?,?,?,5,?,?,?,?,3,1,11124,0,0,2
1,9,5297159,38.8,150,50,1,3,6,2,5,3,2,1,1,?,?,?,50,6.2,?,?,2,1,4207,0,0,2
1,1,534787,38,36,16,3,1,1,1,4,2,2,3,3,2,3,?,37,75,2,1,3,2,3111,0,0,2
2,1,528620,36.9,50,40,2,3,3,1,1,3,2,3,1,7,?,?,37.5,6.5,?,?,1,2,3111,0,0,2
2,1,528019,37.8,40,16,1,1,1,1,1,1,1,?,?,?,1,1,37,6.8,?,?,1,2,0,0,0,2
2,1,529172,38.2,56,40,4,3,1,1,2,4,3,2,2,7.5,?,?,47,7.2,1,2.5,1,2,8300,0,0,1
1,1,534644,38.6,48,12,?,?,1,?,1,1,?,?,?,?,?,?,36,67,?,?,1,2,0,0,0,2
2,1,530624,40,78,?,3,3,5,1,2,3,1,1,1,?,4,1,66,6.5,?,?,2,1,8400,0,0,1
1,1,527544,?,70,16,3,4,5,2,2,3,2,2,1,?,4,5,60,7.5,?,?,2,1,1400,0,0,2
1,1,527758,38.2,72,18,?,?,?,?,?,?,?,?,?,?,?,?,35,6.4,?,?,1,1,3124,0,0,2
2,1,530439,38.5,54,?,1,1,1,1,3,1,1,2,1,?,1,?,40,6.8,2,7,1,2,0,0,0,1
1,1,5283431,38.5,66,24,1,1,1,1,3,3,1,2,1,?,4,5,40,6.7,1,?,1,1,31110,0,0,1
2,1,5275212,37.8,82,12,3,1,1,2,4,?,3,1,3,?,?,?,50,7,?,?,3,1,2205,0,0,2
2,9,5305129,39.5,84,30,?,?,?,1,?,?,?,?,?,?,?,?,28,5,?,?,1,2,0,0,0,2
1,1,529428,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,1,1,2124,0,0,2
1,1,529126,38,50,36,?,1,1,1,3,2,2,?,?,?,3,?,39,6.6,1,5.3,1,1,8400,0,0,1
2,1,535054,38.6,45,16,2,1,2,1,1,1,?,?,?,?,1,1,43,58,?,?,1,2,0,0,0,2
1,1,528890,38.9,80,44,3,3,3,1,2,3,3,2,2,7,3,1,54,6.5,3,?,2,1,7111,0,0,2
1,1,530034,37,66,20,1,3,2,1,4,3,3,1,?,?,1,5,35,6.9,2,?,2,1,31110,0,0,2
1,1,534004,?,78,24,3,3,3,1,?,3,?,2,1,?,?,4,43,62,?,2,3,2,2209,0,0,2
2,1,533902,38.5,40,16,1,1,1,1,2,1,1,?,?,?,3,2,37,67,?,?,1,2,0,0,0,2
1,1,533886,?,120,70,4,?,4,2,2,4,?,?,?,?,?,5,55,65,?,?,3,2,3205,0,0,2
2,1,527702,37.2,72,24,3,2,4,2,4,3,3,3,1,?,4,4,44,?,3,3.3,3,1,2208,0,0,1
1,1,529386,37.5,72,30,4,3,4,1,4,4,3,2,1,?,3,5,60,6.8,?,?,2,1,3205,0,0,2
1,1,530612,36.5,100,24,3,3,3,1,3,3,3,3,1,?,4,4,50,6,3,3.4,1,1,2208,0,0,1
1,1,534618,37.2,40,20,?,?,?,?,?,?,?,?,?,?,4,1,36,62,1,1,3,2,6112,0,0,2


activity_add_widget_instructions,com.airbnb.lottie.LottieAnimationView,animation
activity_broken_site,View,titleSection
activity_broken_site,ImageView,icon
activity_broken_site,TextView,title
activity_broken_site,TextView,description
activity_broken_site,TextView,brokenDomainLabel
activity_broken_site,EditText,brokenSiteUrl
activity_broken_site,EditText,feedbackMessage
activity_broken_site,Button,submitButton
activity_browser,androidx.constraintlayout.widget.ConstraintLayout,fragmentContainer
activity_browser,View,clearingInProgressView
activity_default_browser_info,View,titleSection
activity_default_browser_info,ImageView,smileyFace
activity_default_browser_info,TextView,title
activity_default_browser_info,TextView,description
activity_default_browser_info,ImageView,ctaDismissButton
activity_default_browser_info,ImageView,defaultBrowserIllustration
activity_default_browser_info,Button,launchSettingsButton
activity_feedback,FrameLayout,fragmentContainer
activity_launch,androidx.constraintlayout.widget.ConstraintLayout,rootView
activity_launch,ImageView,ddgLogo
activity_onboarding,androidx.viewpager.widget.ViewPager,viewPager
activity_user_survey,TextView,title
activity_user_survey,Button,dismissButton
activity_user_survey,WebView,webView
activity_user_survey,ProgressBar,progress
activity_user_survey,LinearLayout,errorView
add_or_edit_bookmark,com.google.android.material.textfield.TextInputLayout,bookmarkTitleInputContainer
add_or_edit_bookmark,com.google.android.material.textfield.TextInputLayout,bookmarkUrlInputContainer
add_or_edit_bookmark,EditText,titleInput
add_or_edit_bookmark,EditText,urlInput
content_about_duck_duck_go,ScrollView,longDescriptionContainer
content_about_duck_duck_go,ImageView,ddgLogo
content_about_duck_duck_go,TextView,learnMoreLink
content_bookmarks,androidx.recyclerview.widget.RecyclerView,recycler
content_bookmarks,TextView,emptyBookmarks
content_feedback,TextView,title
content_feedback,TextView,subtitle
content_feedback,ImageView,positiveFeedbackButton
content_feedback,ImageView,negativeFeedbackButton
content_feedback_negative_broken_site_feedback,ScrollView,rootScrollView
content_feedback_negative_broken_site_feedback,ImageView,emoticonImage
content_feedback_negative_broken_site_feedback,TextView,title
content_feedback_negative_broken_site_feedback,TextView,subtitle
content_feedback_negative_broken_site_feedback,com.google.android.material.textfield.TextInputLayout,brokenSiteInputContainer
content_feedback_negative_broken_site_feedback,com.google.android.material.textfield.TextInputLayout,openEndedFeedbackContainer
content_feedback_negative_broken_site_feedback,Button,submitFeedbackButton
content_feedback_negative_broken_site_feedback,com.google.android.material.textfield.TextInputEditText,brokenSiteInput
content_feedback_negative_broken_site_feedback,com.google.android.material.textfield.TextInputEditText,openEndedFeedback
content_feedback_negative_disambiguation_main_reason,ImageView,emoticonImage
content_feedback_negative_disambiguation_main_reason,TextView,title
content_feedback_negative_disambiguation_main_reason,TextView,subtitle
content_feedback_negative_disambiguation_main_reason,androidx.recyclerview.widget.RecyclerView,recyclerView
content_feedback_negative_disambiguation_sub_reason,ImageView,emoticonImage
content_feedback_negative_disambiguation_sub_reason,TextView,title
content_feedback_negative_disambiguation_sub_reason,TextView,subtitle
content_feedback_negative_disambiguation_sub_reason,androidx.recyclerview.widget.RecyclerView,recyclerView
content_feedback_open_ended_feedback,ScrollView,rootScrollView
content_feedback_open_ended_feedback,ImageView,emoticonImage
content_feedback_open_ended_feedback,TextView,title
content_feedback_open_ended_feedback,TextView,subtitle
content_feedback_open_ended_feedback,com.google.android.material.textfield.TextInputLayout,openEndedFeedbackContainer
content_feedback_open_ended_feedback,Button,submitFeedbackButton
content_feedback_open_ended_feedback,com.google.android.material.textfield.TextInputEditText,openEndedFeedback
content_feedback_positive_landing,ImageView,emoticonImage
content_feedback_positive_landing,TextView,title
content_feedback_positive_landing,TextView,subtitle
content_feedback_positive_landing,androidx.constraintlayout.widget.Guideline,guideline
content_feedback_positive_landing,Button,rateAppButton
content_feedback_positive_landing,Button,shareFeedbackButton
content_feedback_positive_landing,Button,cancelButton
content_onboarding_default_browser,androidx.constraintlayout.widget.ConstraintLayout,longDescriptionContainer
content_onboarding_default_browser,ImageView,defaultBrowserImage
content_onboarding_default_browser,LinearLayout,textContainer
content_onboarding_default_browser,Button,launchSettingsButton
content_onboarding_default_browser,Button,continueButton
content_onboarding_no_trace,androidx.constraintlayout.widget.ConstraintLayout,longDescriptionContainer
content_onboarding_no_trace,ImageView,noTraceImage
content_onboarding_no_trace,LinearLayout,textContainer
content_onboarding_no_trace,Button,continueButton
content_onboarding_protect_data,androidx.constraintlayout.widget.ConstraintLayout,longDescriptionContainer
content_onboarding_protect_data,ImageView,protectDataImage
content_onboarding_protect_data,LinearLayout,textContainer
content_onboarding_protect_data,Button,continueButton
content_privacy_dashboard,include,privacyGrade
content_privacy_dashboard,androidx.constraintlayout.widget.ConstraintLayout,review
content_privacy_dashboard,androidx.constraintlayout.widget.ConstraintLayout,privacyToggleContainer
content_privacy_dashboard,androidx.constraintlayout.widget.ConstraintLayout,trackerNetworkLeaderboard
content_privacy_dashboard,LinearLayout,httpsContainer
content_privacy_dashboard,LinearLayout,networksContainer
content_privacy_dashboard,LinearLayout,practicesContainer
content_privacy_dashboard,TextView,privacyToggleText
content_privacy_dashboard,androidx.appcompat.widget.SwitchCompat,privacyToggle
content_privacy_dashboard,TextView,trackerNetworkLeaderboardHeader
content_privacy_dashboard,TextView,trackerNetworkLeaderboardNotReady
content_privacy_dashboard,com.duckduckgo.app.privacy.ui.TrackerNetworkLeaderboardPillView,trackerNetworkPill1
content_privacy_dashboard,com.duckduckgo.app.privacy.ui.TrackerNetworkLeaderboardPillView,trackerNetworkPill2
content_privacy_dashboard,com.duckduckgo.app.privacy.ui.TrackerNetworkLeaderboardPillView,trackerNetworkPill3
content_privacy_dashboard,ImageView,httpsIcon
content_privacy_dashboard,TextView,httpsText
content_privacy_dashboard,ImageView,networksIcon
content_privacy_dashboard,TextView,networksText
content_privacy_dashboard,ImageView,practicesIcon
content_privacy_dashboard,TextView,practicesText
content_privacy_practices,View,bottomDivider
content_privacy_practices,TextView,tosdrLink
content_privacy_practices,androidx.constraintlayout.widget.ConstraintLayout,practicesBannerContainer
content_privacy_practices,TextView,practicesOverview
content_privacy_practices,View,topDivider
content_privacy_practices,androidx.recyclerview.widget.RecyclerView,practicesList
content_privacy_practices,ImageView,practicesBanner
content_privacy_practices,TextView,domain
content_privacy_practices,TextView,heading
content_privacy_scorecard,include,privacyGrade
content_privacy_scorecard,TextView,https
content_privacy_scorecard,TextView,trackers
content_privacy_scorecard,TextView,majorNetworks
content_privacy_scorecard,TextView,siteIsMajorNetworkMember
content_privacy_scorecard,TextView,practices
content_privacy_scorecard,TextView,beforeGrade
content_privacy_scorecard,TextView,afterGrade
content_settings,View,settingsSectionGeneralBottomDivider
content_settings,View,settingsSectionPrivacyBottomDivider
content_settings_general,androidx.constraintlayout.widget.ConstraintLayout,settingsSectionGeneral
content_settings_general,TextView,settingsGeneralTitle
content_settings_general,androidx.appcompat.widget.SwitchCompat,lightThemeToggle
content_settings_general,androidx.appcompat.widget.SwitchCompat,autocompleteToggle
content_settings_general,androidx.appcompat.widget.SwitchCompat,setAsDefaultBrowserSetting
content_settings_other,androidx.constraintlayout.widget.ConstraintLayout,settingsSectionOther
content_settings_other,TextView,settingsOtherTitle
content_settings_other,TextView,about
content_settings_other,TextView,onboarding
content_settings_other,TextView,provideFeedback
content_settings_other,com.duckduckgo.app.settings.SettingsOptionWithSubtitle,version
content_settings_privacy,androidx.constraintlayout.widget.ConstraintLayout,settingsSectionPrivacy
content_settings_privacy,TextView,settingsPrivacyTitle
content_settings_privacy,com.duckduckgo.app.settings.SettingsOptionWithSubtitle,automaticallyClearWhatSetting
content_settings_privacy,com.duckduckgo.app.settings.SettingsOptionWithSubtitle,automaticallyClearWhenSetting
content_tab_switcher,androidx.recyclerview.widget.RecyclerView,tabsRecycler
content_test,androidx.recyclerview.widget.RecyclerView,recycler
content_test,TextView,emptyBookmarks
content_tracker_networks,androidx.constraintlayout.widget.ConstraintLayout,networksBannerContainer
content_tracker_networks,TextView,networksOverview
content_tracker_networks,View,topDivider
content_tracker_networks,androidx.recyclerview.widget.RecyclerView,networksList
content_tracker_networks,ImageView,networksBanner
content_tracker_networks,TextView,domain
content_tracker_networks,TextView,heading
fragment_browser_tab,androidx.coordinatorlayout.widget.CoordinatorLayout,rootView
fragment_browser_tab,FrameLayout,webViewFullScreenContainer
fragment_browser_tab,androidx.recyclerview.widget.RecyclerView,autoCompleteSuggestionsList
fragment_browser_tab,androidx.constraintlayout.widget.ConstraintLayout,browserLayout
fragment_browser_tab,FrameLayout,webViewContainer
fragment_browser_tab,View,focusDummy
http_authentication,TextView,httpAuthInformationText
http_authentication,com.google.android.material.textfield.TextInputLayout,httpAuthUsernameContainer
http_authentication,com.google.android.material.textfield.TextInputLayout,httpAuthPasswordContainer
http_authentication,EditText,usernameInput
http_authentication,EditText,passwordInput
include_add_widget_instruction_buttons,Button,closeButton
include_add_widget_instruction_buttons,Button,homeButton
include_add_widget_instruction_steps,androidx.constraintlayout.widget.Barrier,instructionsStartBarrier
include_add_widget_instruction_steps,androidx.constraintlayout.widget.Barrier,instructionsEndBarrier
include_add_widget_instruction_steps,TextView,instructionLabel1
include_add_widget_instruction_steps,TextView,instruction1
include_add_widget_instruction_steps,TextView,instructionLabel2
include_add_widget_instruction_steps,TextView,instruction2
include_add_widget_instruction_steps,TextView,instructionLabel3
include_add_widget_instruction_steps,TextView,instruction3
include_cta,androidx.constraintlayout.widget.ConstraintLayout,cta
include_cta,include,ctaContent
include_cta_buttons,Button,ctaDismissButton
include_cta_buttons,Button,ctaOkButton
include_cta_content,ImageView,ctaIcon
include_cta_content,TextView,ctaTitle
include_cta_content,TextView,ctaSubtitle
include_duckduckgo_browser_webview,com.duckduckgo.app.browser.DuckDuckGoWebView,browserWebView
include_find_in_page,androidx.constraintlayout.widget.ConstraintLayout,findInPageContainer
include_find_in_page,EditText,findInPageInput
include_find_in_page,TextView,findInPageMatches
include_find_in_page,androidx.constraintlayout.widget.ConstraintLayout,findInPageControlButtons
include_find_in_page,ImageView,previousSearchTermButton
include_find_in_page,ImageView,nextSearchTermButton
include_find_in_page,ImageView,closeFindInPagePanel
include_new_browser_tab,androidx.constraintlayout.widget.ConstraintLayout,newTabLayout
include_new_browser_tab,ImageView,ddgLogo
include_new_browser_tab,LinearLayout,ctaContainer
include_omnibar_toolbar,com.google.android.material.appbar.AppBarLayout,appBarLayout
include_omnibar_toolbar,androidx.constraintlayout.widget.ConstraintLayout,toolbarContainer
include_omnibar_toolbar,androidx.appcompat.widget.Toolbar,toolbar
include_omnibar_toolbar,FrameLayout,browserMenu
include_omnibar_toolbar,ProgressBar,pageLoadingIndicator
include_omnibar_toolbar,androidx.constraintlayout.widget.ConstraintLayout,omniBarContainer
include_omnibar_toolbar,ImageButton,privacyGradeButton
include_omnibar_toolbar,com.duckduckgo.app.browser.omnibar.KeyboardAwareEditText,omnibarTextInput
include_omnibar_toolbar,ImageView,clearTextButton
include_privacy_dashboard_header,ImageView,privacyBanner
include_privacy_dashboard_header,TextView,domain
include_privacy_dashboard_header,TextView,heading
include_toolbar,androidx.appcompat.widget.Toolbar,toolbar
item_autocomplete_suggestion,ImageView,phraseOrUrlIndicator
item_autocomplete_suggestion,TextView,phrase
item_autocomplete_suggestion,FrameLayout,editQueryImage
item_feedback_reason,TextView,reason
item_privacy_practice,ImageView,icon
item_privacy_practice,TextView,description
item_tab,ImageView,tabUnread
item_tab,androidx.constraintlayout.widget.Guideline,guideTop
item_tab,androidx.constraintlayout.widget.Guideline,guideBottom
item_tab,ImageView,favicon
item_tab,ImageView,close
item_tab,TextView,title
item_tab,TextView,url
item_tracker_network_element,TextView,host
item_tracker_network_element,TextView,category
item_tracker_network_header,TextView,network
item_tracker_network_header,ImageView,icon
popup_window_browser_menu,LinearLayout,header
popup_window_browser_menu,ImageButton,backPopupMenuItem
popup_window_browser_menu,ImageButton,forwardPopupMenuItem
popup_window_browser_menu,ImageButton,refreshPopupMenuItem
popup_window_browser_menu,TextView,newTabPopupMenuItem
popup_window_browser_menu,TextView,bookmarksPopupMenuItem
popup_window_browser_menu,TextView,addBookmarksPopupMenuItem
popup_window_browser_menu,TextView,sharePageMenuItem
popup_window_browser_menu,TextView,findInPageMenuItem
popup_window_browser_menu,TextView,addToHome
popup_window_browser_menu,CheckBox,requestDesktopSiteCheckMenuItem
popup_window_browser_menu,TextView,brokenSitePopupMenuItem
popup_window_browser_menu,TextView,settingsPopupMenuItem
search_widget,RelativeLayout,widgetContainer
search_widget,TextView,searchInputBox
search_widget_light,RelativeLayout,widgetContainer
search_widget_light,TextView,searchInputBox
settings_automatically_clear_what_fragment,RadioGroup,settingsClearWhatGroup
settings_automatically_clear_what_fragment,RadioButton,settingNone
settings_automatically_clear_what_fragment,RadioButton,settingTabsOnly
settings_automatically_clear_what_fragment,RadioButton,settingTabsAndData
settings_automatically_clear_when_fragment,RadioGroup,settingsClearWhenGroup
settings_automatically_clear_when_fragment,RadioButton,settingAppExitOnly
settings_automatically_clear_when_fragment,RadioButton,settingInactive5Seconds
settings_automatically_clear_when_fragment,RadioButton,settingInactive5Mins
settings_automatically_clear_when_fragment,RadioButton,settingInactive15Mins
settings_automatically_clear_when_fragment,RadioButton,settingInactive30Mins
settings_automatically_clear_when_fragment,RadioButton,settingInactive60Mins
settings_option_with_subtitle,androidx.appcompat.widget.AppCompatTextView,title
settings_option_with_subtitle,androidx.appcompat.widget.AppCompatTextView,subtitle
sheet_fire_clear_data,TextView,clearAllOption
sheet_fire_clear_data,TextView,cancelOption
view_bookmark_entry,ImageView,favicon
view_bookmark_entry,TextView,title
view_bookmark_entry,TextView,url
view_bookmark_entry,ImageView,overflowMenu
view_network_tracker_pill,ImageView,icon
view_network_tracker_pill,View,separator
view_network_tracker_pill,TextView,percentage
view_tab_switcher_button,com.airbnb.lottie.LottieAnimationView,anim
view_tab_switcher_button,TextView,tabCount
view_tab_switcher_button,FrameLayout,clickZone


measure,calibration,units,data_type,quality_control
Site,NA,NA,Site identifier,NA
Plot,NA,number,plot number 1-42,NA
Treatment,NA,functional group identifier,functional group (see supporting document Winklebury_Hill_Experiment.rtf),NA
Soil depth for BD,NA,cm,Soil depth for bulk density,NA
BD,NA,g m2,Bulk density 5-10cm depth,Outlier checks
Soil.moist,NA,%,Soil moisture (average of 3 measures),"Three replicates, outlier removal."
pH,"pH 4, 7",unitless,Soil pH,5% analytical replicates.
NO3-KCL,"7,6,4,2,1ppm",mg kg-1,Soil extractable nitrate (extracted with potassium chloride),"5% analytical replicates, recalibration and blank every 20 samples. "
NH4-KCL,"5,4,3,2,1ppm",mg kg-1,Soil extractable ammonium (extracted with potassium chloride),"5% analytical replicates, recalibration and blank every 20 samples. "
Mic.TC,100mg/l,mg kg-1,Microbial biomass- total carbon,"5% analytical replicates, blank every 20 samples. "
Mic.CN,NA,unitless,Microbial biomass- carbon to nitrogen ratio,NA
Mic TN,"10,8,6,4,2ppm",mg kg-1,Microbial biomass- total nitrogen,"5% analytical replicates, recalibration and blank every 20 samples. "
Mineralised NO3,"5,4,3,2,1ppm",mg kg-1,Nitrification rate,"5% analytical replicates, recalibration and blank every 20 samples. "
Mineralised NH4,"5,4,3,2,1ppm",mg kg-1,Mineralisation rate of ammonium only,"5% analytical replicates, recalibration and blank every 20 samples. "
Total mineralised N,NA,mg kg-1,Total mineralisation rate,"5% analytical replicates, recalibration and blank every 20 samples. "
Particle Size >3mm,NA,g m2,particle size measured through >3mm sieve,Outlier checks
Particle Size 2-3mm,NA,g m2,particle size measured through 2mm sieve,Outlier checks
Particle Size 0.05-2mm,NA,g m2,particle size measured through 0.05mm sieve,Outlier checks
Particle Size 0.05-0.015mm,NA,g m2,particle size measured through 0.015mm sieve,Outlier checks
Particle Size >0.015mm,NA,g m2,particle size measured through >0.015mm sieve,Outlier checks


INDICATOR_CODE,INDICATOR_NAME,SOURCE_NOTE,SOURCE_ORGANIZATION
TX.VAL.ICTG.ZS.UN,ICT goods exports (% of total goods exports),"Information and communication technology goods exports include computers and peripheral equipment, communication equipment, consumer electronic equipment, electronic components, and other information and technology goods (miscellaneous).",United Nations Conference on Trade and Development's UNCTADstat database at http://unctadstat.unctad.org/ReportFolders/reportFolders.aspx.
TM.VAL.ICTG.ZS.UN,ICT goods imports (% total goods imports),"Information and communication technology goods imports include computers and peripheral equipment, communication equipment, consumer electronic equipment, electronic components, and other information and technology goods (miscellaneous).",United Nations Conference on Trade and Development's UNCTADstat database at http://unctadstat.unctad.org/ReportFolders/reportFolders.aspx.
IT.NET.USER.ZS,Individuals using the Internet (% of population),"Internet users are individuals who have used the Internet (from any location) in the last 3 months. The Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc.",International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
IT.NET.SECR.P6,Secure Internet servers (per 1 million people),"The number of distinct, publicly-trusted TLS/SSL certificates found in the Netcraft Secure Server Survey.",Netcraft (http://www.netcraft.com/) and World Bank population estimates.
IT.NET.SECR,Secure Internet servers,"The number of distinct, publicly-trusted TLS/SSL certificates found in the Netcraft Secure Server Survey.",Netcraft (http://www.netcraft.com/)
IT.NET.BBND.P2,Fixed broadband subscriptions (per 100 people),"Fixed broadband subscriptions refers to fixed subscriptions to high-speed access to the public Internet (a TCP/IP connection), at downstream speeds equal to, or greater than, 256 kbit/s. This includes cable modem, DSL, fiber-to-the-home/building, other fixed (wired)-broadband subscriptions, satellite broadband and terrestrial fixed wireless broadband. This total is measured irrespective of the method of payment. It excludes subscriptions that have access to data communications (including the Internet) via mobile-cellular networks. It should include fixed WiMAX and any other fixed wireless technologies. It includes both residential subscriptions and subscriptions for organizations.",International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
IT.NET.BBND,Fixed broadband subscriptions,"Fixed broadband subscriptions refers to fixed subscriptions to high-speed access to the public Internet (a TCP/IP connection), at downstream speeds equal to, or greater than, 256 kbit/s. This includes cable modem, DSL, fiber-to-the-home/building, other fixed (wired)-broadband subscriptions, satellite broadband and terrestrial fixed wireless broadband. This total is measured irrespective of the method of payment. It excludes subscriptions that have access to data communications (including the Internet) via mobile-cellular networks. It should include fixed WiMAX and any other fixed wireless technologies. It includes both residential subscriptions and subscriptions for organizations.",International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
IT.MLT.MAIN.P2,Fixed telephone subscriptions (per 100 people),"Fixed telephone subscriptions refers to the sum of active number of analogue fixed telephone lines, voice-over-IP (VoIP) subscriptions, fixed wireless local loop (WLL) subscriptions, ISDN voice-channel equivalents and fixed public payphones.",International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
IT.MLT.MAIN,Fixed telephone subscriptions,"Fixed telephone subscriptions refers to the sum of active number of analogue fixed telephone lines, voice-over-IP (VoIP) subscriptions, fixed wireless local loop (WLL) subscriptions, ISDN voice-channel equivalents and fixed public payphones.",International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
IT.CEL.SETS.P2,Mobile cellular subscriptions (per 100 people),"Mobile cellular telephone subscriptions are subscriptions to a public mobile telephone service that provide access to the PSTN using cellular technology. The indicator includes (and is split into) the number of postpaid subscriptions, and the number of active prepaid accounts (i.e. that have been used during the last three months). The indicator applies to all mobile cellular subscriptions that offer voice communications. It excludes subscriptions via data cards or USB modems, subscriptions to public mobile data services, private trunked mobile radio, telepoint, radio paging and telemetry services.",International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
IT.CEL.SETS,Mobile cellular subscriptions,"Mobile cellular telephone subscriptions are subscriptions to a public mobile telephone service that provide access to the PSTN using cellular technology. The indicator includes (and is split into) the number of postpaid subscriptions, and the number of active prepaid accounts (i.e. that have been used during the last three months). The indicator applies to all mobile cellular subscriptions that offer voice communications. It excludes subscriptions via data cards or USB modems, subscriptions to public mobile data services, private trunked mobile radio, telepoint, radio paging and telemetry services.",International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database
IS.SHP.GOOD.TU,Container port traffic (TEU: 20 foot equivalent units),"Port container traffic measures the flow of containers from land to sea transport modes., and vice versa, in twenty-foot equivalent units (TEUs), a standard-size container. Data refer to coastal shipping as well as international journeys. Transshipment traffic is counted as two lifts at the intermediate port (once to off-load and again as an outbound lift) and includes empty units.",UNCTAD (http://unctad.org/en/Pages/statistics.aspx)
IS.SHP.GCNW.XQ,Liner shipping connectivity index (maximum value in 2004 = 100),"The Liner Shipping Connectivity Index captures how well countries are connected to global shipping networks. It is computed by the United Nations Conference on Trade and Development (UNCTAD) based on five components of the maritime transport sector: number of ships, their container-carrying capacity, maximum vessel size, number of services, and number of companies that deploy container ships in a country's ports. For each component a country's value is divided by the maximum value of each component in 2004, the five components are averaged for each country, and the average is divided by the maximum average for 2004 and multiplied by 100. The index generates a value of 100 for the country with the highest average index in 2004. . The underlying data come from Containerisation International Online.","United Nations Conference on Trade and Development, Review of Maritime Transport 2010."
IS.RRS.TOTL.KM,Rail lines (total route-km),"Rail lines are the length of railway route available for train service, irrespective of the number of parallel tracks.",Internation Union of Railways (UIC)
IS.RRS.PASG.KM,"Railways, passengers carried (million passenger-km)",Passengers carried by railway are the number of passengers transported by rail times kilometers traveled.,"Internation Union of Railways (UIC), OECD Statistics"
IS.RRS.GOOD.MT.K6,"Railways, goods transported (million ton-km)","Goods transported by railway are the volume of goods transported by railway, measured in metric tons times kilometers traveled.","Internation Union of Railways (UIC), OECD Statistics"
IS.AIR.PSGR,"Air transport, passengers carried",Air passengers carried include both domestic and international aircraft passengers of air carriers registered in the country.,"International Civil Aviation Organization, Civil Aviation Statistics of the World and ICAO staff estimates."
IS.AIR.GOOD.MT.K1,"Air transport, freight (million ton-km)","Air freight is the volume of freight, express, and diplomatic bags carried on each flight stage (operation of an aircraft from takeoff to its next landing), measured in metric tons times kilometers traveled.","International Civil Aviation Organization, Civil Aviation Statistics of the World and ICAO staff estimates."
IS.AIR.DPRT,"Air transport, registered carrier departures worldwide",Registered carrier departures worldwide are domestic takeoffs and takeoffs abroad of air carriers registered in the country.,"International Civil Aviation Organization, Civil Aviation Statistics of the World and ICAO staff estimates."
IP.TMK.RSCT,"Trademark applications, resident, by count","Trademark applications filed are applications to register a trademark with a national or regional Intellectual Property (IP) offices and designations received by relevant offices through the Madrid System. A trademark is a distinctive sign which identifies certain goods or services as those produced or provided by a specific person or enterprise. A trademark provides protection to the owner of the mark by ensuring the exclusive right to use it to identify goods or services, or to authorize another to use it in return for payment. The period of protection varies, but a trademark can be renewed indefinitely beyond the time limit on payment of additional fees. Resident application refers to an application filed with the IP office of or acting on behalf of the state or jurisdiction in which the first-named applicant in the application has residence. Class count is used to render application data for trademark applications across offices comparable, as some offices follow a single-class/single-design filing system while other have a multiple class/design filing system.","World Intellectual Property Organization (WIPO), Statistics Database at www.wipo.int/ipstats/. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data."
IP.TMK.NRCT,"Trademark applications, nonresident, by count","Trademark applications filed are applications to register a trademark with a national or regional Intellectual Property (IP) offices and designations received by relevant offices through the Madrid System. A trademark is a distinctive sign which identifies certain goods or services as those produced or provided by a specific person or enterprise. A trademark provides protection to the owner of the mark by ensuring the exclusive right to use it to identify goods or services, or to authorize another to use it in return for payment. The period of protection varies, but a trademark can be renewed indefinitely beyond the time limit on payment of additional fees. Non-resident application refers to an application filed with the IP office of or acting on behalf of a state or jurisdiction in which the first-named applicant in the application is not domiciled. Class count is used to render application data for trademark applications across offices comparable, as some offices follow a single-class/single-design filing system while other have a multiple class/design filing system.","World Intellectual Property Organization (WIPO), Statistics Database at www.wipo.int/ipstats/. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data."
IP.IDS.RSCT,"Industrial design applications, resident, by count","Industrial design applications are applications to register an industrial design with a national or regional Intellectual Property (IP) offices and designations received by relevant offices through the Hague System. Industrial designs are applied to a wide variety of industrial products and handicrafts. They refer to the ornamental or aesthetic aspects of a useful article, including compositions of lines or colors or any three-dimensional forms that give a special appearance to a product or handicraft. The holder of a registered industrial design has exclusive rights against unauthorized copying or imitation of the design by third parties. Industrial design registrations are valid for a limited period. The term of protection is usually 15 years for most jurisdictions. However, differences in legislation do exist, notably in China (which provides for a 10-year term from the application date). Resident application refers to an application filed with the IP office of or acting on behalf of the state or jurisdiction in which the first-named applicant in the application has residence. Design count is used to render application data for industrial applications across offices comparable, as some offices follow a single-class/single-design filing system while other have a multiple class/design filing system.","World Intellectual Property Organization (WIPO), Statistics Database at www.wipo.int/ipstats/. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data."
IP.IDS.NRCT,"Industrial design applications, nonresident, by count","Industrial design applications are applications to register an industrial design with a national or regional Intellectual Property (IP) offices and designations received by relevant offices through the Hague System. Industrial designs are applied to a wide variety of industrial products and handicrafts. They refer to the ornamental or aesthetic aspects of a useful article, including compositions of lines or colors or any three-dimensional forms that give a special appearance to a product or handicraft. The holder of a registered industrial design has exclusive rights against unauthorized copying or imitation of the design by third parties. Industrial design registrations are valid for a limited period. The term of protection is usually 15 years for most jurisdictions. However, differences in legislation do exist, notably in China (which provides for a 10-year term from the application date). Non-resident application refers to an application filed with the IP office of or acting on behalf of a state or jurisdiction in which the first-named applicant in the application is not domiciled. Design count is used to render application data for industrial applications across offices comparable, as some offices follow a single-class/single-design filing system while other have a multiple class/design filing system.","World Intellectual Property Organization (WIPO), Statistics Database at www.wipo.int/ipstats/. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data."
IE.PPN.WATR.CD,Public private partnerships investment in water and sanitation (current US$),"Public Private Partnerships in water and sanitation (current US$) refers to commitments to  infrastructure projects in water and sanitation that have reached financial closure and directly or indirectly serve the public. Movable assets, incinerators, standalone solid waste projects, and small projects are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, and greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility). It excludes divestitures and merchant projects. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars.","World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org)."
IE.PPN.TRAN.CD,Public private partnerships investment in transport (current US$),"Public Private Partnerships in transport (current US$) refers to commitments to  infrastructure projects in transport that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects are excluded. The types of projects included are  management and lease contracts, operations and management contracts with major capital expenditure,  and greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility). It excludes divestitures and merchant projects. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars.","World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org)."
IE.PPN.ENGY.CD,Public private partnerships investment in energy (current US$),"Public Private Partnerships in energy (current US$)  refers to commitments to  infrastructure projects in energy (electricity and natural gas transmission and distribution) that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects such as windmills are excluded. The types of projects included are  management and lease contracts, operations and management contracts with major capital expenditure, and greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility). It excludes divestitures and merchant projects. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars.","World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org)."
IE.PPI.WATR.CD,Investment in water and sanitation with private participation (current US$),"Investment in water and sanitation projects with private participation refers to commitments to  infrastructure projects in water and sanitation that have reached financial closure and directly or indirectly serve the public. Movable assets, incinerators, standalone solid waste projects, and small projects are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility), and divestitures. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars.","World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org)."
IE.PPI.TRAN.CD,Investment in transport with private participation (current US$),"Investment  in transport projects with private participation refers to commitments to  infrastructure projects in transport that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects are excluded. The types of projects included are  management and lease contracts, operations and management contracts with major capital expenditure, greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility), and divestitures. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars.","World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org)."
IE.PPI.ICTI.CD,Investment in ICT with private participation (current US$),"Investment in ICT projects with private participation refers to commitments to projects in ICT backbone infrastructure (including land based and submarine cables) that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects are excluded. The types of projects included are operations and management contracts, operations and management contracts with major capital expenditure, greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility), and divestitures. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars and available 2015 onwards only.","World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org)."
IE.PPI.ENGY.CD,Investment in energy with private participation (current US$),"Investment in energy projects with private participation  refers to commitments to  infrastructure projects in energy (electricity and natural gas: generation, transmission and distribution) that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects such as windmills are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility), and divestitures. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars.","World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org)."
ER.H2O.INTR.PC,Renewable internal freshwater resources per capita (cubic meters),Renewable internal freshwater resources flows refer to internal renewable resources (internal river flows and groundwater from rainfall) in the country. Renewable internal freshwater resources per capita are calculated using the World Bank's population estimates.,"Food and Agriculture Organization, AQUASTAT data."
ER.H2O.INTR.K3,"Renewable internal freshwater resources, total (billion cubic meters)",Renewable internal freshwater resources flows refer to internal renewable resources (internal river flows and groundwater from rainfall) in the country.,"Food and Agriculture Organization, AQUASTAT data."
ER.H2O.FWTL.ZS,"Annual freshwater withdrawals, total (% of internal resources)","Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenewable aquifers or desalination plants is considerable or where there is significant water reuse. Withdrawals for agriculture and industry are total withdrawals for irrigation and livestock production and for direct industrial use (including withdrawals for cooling thermoelectric plants). Withdrawals for domestic uses include drinking water, municipal use or supply, and use for public services, commercial establishments, and homes. Data are for the most recent year available for 1987-2002.","Food and Agriculture Organization, AQUASTAT data."
ER.H2O.FWTL.K3,"Annual freshwater withdrawals, total (billion cubic meters)","Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenewable aquifers or desalination plants is considerable or where there is significant water reuse. Withdrawals for agriculture and industry are total withdrawals for irrigation and livestock production and for direct industrial use (including withdrawals for cooling thermoelectric plants). Withdrawals for domestic uses include drinking water, municipal use or supply, and use for public services, commercial establishments, and homes. Data are for the most recent year available for 1987-2002.","Food and Agriculture Organization, AQUASTAT data."
ER.H2O.FWIN.ZS,"Annual freshwater withdrawals, industry (% of total freshwater withdrawal)","Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenewable aquifers or desalination plants is considerable or where there is significant water reuse. Withdrawals for industry are total withdrawals for direct industrial use (including withdrawals for cooling thermoelectric plants). Data are for the most recent year available for 1987-2002.","Food and Agriculture Organization, AQUASTAT data."
ER.H2O.FWDM.ZS,"Annual freshwater withdrawals, domestic (% of total freshwater withdrawal)","Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenewable aquifers or desalination plants is considerable or where there is significant water reuse. Withdrawals for domestic uses include drinking water, municipal use or supply, and use for public services, commercial establishments, and homes. Data are for the most recent year available for 1987-2002.","Food and Agriculture Organization, AQUASTAT data."
ER.H2O.FWAG.ZS,"Annual freshwater withdrawals, agriculture (% of total freshwater withdrawal)","Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenewable aquifers or desalination plants is considerable or where there is significant water reuse. Withdrawals for agriculture are total withdrawals for irrigation and livestock production. Data are for the most recent year available for 1987-2002.","Food and Agriculture Organization, AQUASTAT data."
EG.USE.ELEC.KH.PC,Electric power consumption (kWh per capita),"Electric power consumption measures the production of power plants and combined heat and power plants less transmission, distribution, and transformation losses and own use by heat and power plants.","IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/"
EG.ELC.PETR.ZS,Electricity production from oil sources (% of total),Sources of electricity refer to the inputs used to generate electricity. Oil refers to crude oil and petroleum products.,"IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/"
EG.ELC.NUCL.ZS,Electricity production from nuclear sources (% of total),Sources of electricity refer to the inputs used to generate electricity. Nuclear power refers to electricity produced by nuclear power plants.,"IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/"
EG.ELC.NGAS.ZS,Electricity production from natural gas sources (% of total),Sources of electricity refer to the inputs used to generate electricity. Gas refers to natural gas but excludes natural gas liquids.,"IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/"
EG.ELC.LOSS.ZS,Electric power transmission and distribution losses (% of output),"Electric power transmission and distribution losses include losses in transmission between sources of supply and points of distribution and in the distribution to consumers, including pilferage.","IEA Statistics © OECD/IEA 2018 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/"
EG.ELC.HYRO.ZS,Electricity production from hydroelectric sources (% of total),Sources of electricity refer to the inputs used to generate electricity. Hydropower refers to electricity produced by hydroelectric power plants.,"IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/"
EG.ELC.COAL.ZS,Electricity production from coal sources (% of total),"Sources of electricity refer to the inputs used to generate electricity. Coal refers to all coal and brown coal, both primary (including hard coal and lignite-brown coal) and derived fuels (including patent fuel, coke oven coke, gas coke, coke oven gas, and blast furnace gas). Peat is also included in this category.","IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/"
BX.GSR.CCIS.ZS,"ICT service exports (% of service exports, BoP)",Information and communication technology service exports include computer and communications services (telecommunications and postal and courier services) and information services (computer data and news-related service transactions).,"International Monetary Fund, Balance of Payments Statistics Yearbook and data files."
BX.GSR.CCIS.CD,"ICT service exports (BoP, current US$)",Information and communication technology service exports include computer and communications services (telecommunications and postal and courier services) and information services (computer data and news-related service transactions). Data are in current U.S. dollars.,"International Monetary Fund, Balance of Payments Statistics Yearbook and data files."
,,,
BX.TRF.PWKR.CD.DT,"Personal remittances, received (current US$)","Personal remittances comprise personal transfers and compensation of employees. Personal transfers consist of all current transfers in cash or in kind made or received by resident households to or from nonresident households. Personal transfers thus include all current transfers between resident and nonresident individuals. Compensation of employees refers to the income of border, seasonal, and other short-term workers who are employed in an economy where they are not resident and of residents employed by nonresident entities. Data are the sum of two items defined in the sixth edition of the IMF's Balance of Payments Manual: personal transfers and compensation of employees. Data are in current U.S. dollars.",
IQ.SPI.PIL5,Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100),"The data infrastructure  pillar  overall score measures the hard and soft infrastructure segments, itemizing essential cross cutting requirements for an effective statistical system.  The segments are: (i) legislation and governance covering the existence of laws and a functioning institutional framework for the statistical system; (ii) standards and methods addressing compliance with recognized frameworks and concepts; (iii) skills including level of skills within the statistical system and among users (statistical literacy); (iv) partnerships reflecting the need for the statistical system to be inclusive and coherent; and (v) finance mobilized both domestically and from donors.",
LP.LPI.INFR.XQ,Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high),"Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents evaluated the quality of trade and transport related infrastructure (e.g. ports, railroads, roads, information technology), on a rating ranging from 1 (very low) to 5 (very high). Scores are averaged across all respondents.",
NY.GDP.MKTP.KD,GDP (constant 2010 US$),"GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2010 U.S. dollars. Dollar figures for GDP are converted from domestic currencies using 2010 official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.",
SL.UEM.TOTL.ZS,"Unemployment, total (% of total labor force) (modeled ILO estimate)",Unemployment refers to the share of the labor force that is without work but available for and seeking employment.,
SP.POP.TOTL,"Population, total","Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.",

PubmedArticleSet,PubmedArticle,MedlineCitation,PMID,DateRevised,Year,Month,Day,Article,Journal,ISSN,JournalIssue,PubDate,Title,ISOAbbreviation,ArticleTitle,ELocationID,Abstract,AbstractText,AuthorList,Author,LastName,ForeName,Initials,AffiliationInfo,Affiliation,Language,PublicationTypeList,PublicationType,ArticleDate,MedlineJournalInfo,Country,MedlineTA,NlmUniqueID,ISSNLinking,PubmedData,History,PubMedPubDate,Hour,Minute,PublicationStatus,ArticleIdList,ArticleId
,,,30379662,,2018,11,1,,,1938-808X,,,Academic medicine : journal of the Association of American Medical Colleges,Acad Med,b'Medical Student Deaths by Suicide: The Importance of Transparency.',10.1097/ACM.0000000000002507,,"b'In this Invited Commentary, the authors present a call to action regarding the paucity of data related to medical student deaths by suicide. They review the limited literature on medical student suicide and suggest that no comprehensive study has ever occurred. They believe that the available data are too limited to conclude what the rate of death by suicide is among medical students compared to their age-matched peers. The authors speculate that the lack of accurate data may be related both to reluctance on the part of schools to report deaths by suicide, and to the failure of national organizations like the Association of American Medical Colleges, Accreditation Council for Graduate Medical Education, and Liaison Committee on Medical Education to mandate reporting. The authors believe that without reliable data the medical education community will never be able to determine whether any trends or predictors are connected to medical student death by suicide and, as a result, intervening in a meaningful way will remain impossible. The authors call on the national organizing bodies of medical education to mandate reporting of deaths by suicide, and to create and maintain a database for tracking and studying these events. They advocate public access to unidentified data, linking medical schools to the number of deaths by suicide, as another method of creating accountability and influencing medical school behavior in addressing this tragic phenomenon.'",,,Muller,David,D,,"B.M. Laitman is an intern, Otolaryngology, and a recent graduate, the MD/PhD program, the Icahn School of Medicine at Mount Sinai, New York City, New York; ORCID: https://orcid.org/0000-0002-9582-6088. D. Muller is dean, Medical Education and chair, Department of Medical Education, Icahn School of Medicine at Mount Sinai, New York City, New York.",eng,,Journal Article,,,United States,Acad Med,8904605,1040-2446,,,,6,0,aheadofprint,,10.1097/ACM.0000000000002507
,,,30232175,,2018,9,21,,,1756-1833,,,BMJ (Clinical research ed.),BMJ,b'Researcher cautions against initiatives to reduce student suicide that lack evidence.',10.1136/bmj.k3969,,,,,Nunez-Mulder,Laura,L,,The BMJ.,eng,,Journal Article,,,England,BMJ,8900488,0959-8138,,,,6,0,epublish,,10.1136/bmj.k3969
,,,30219222,,2018,9,17,,,1558-0490,,,Child and adolescent psychiatric clinics of North America,Child Adolesc Psychiatr Clin N Am,b'Assisting the School in Responding to a Suicide Death: What Every Psychiatrist ShouldKnow.',10.1016/j.chc.2018.05.007,,"b'When a child or adolescent dies by suicide, many individuals are affected, most of whom are attending school. Child and adolescent psychiatrists can be called on during the wake of such tragic events in order to help schools navigate the difficult tasks following a student suicide. Being familiar with suicide postvention guidelines is crucial for anyone involved in managing the events following a student suicide. By understanding the tenets of suicide postvention and resources that are available to schools and clinicians, the tragedy of suicide can also be an opportunity to improve school mental health and suicide prevention.'",,,Jacobson,Sansea,S,,"Department of Psychiatry, Western Psychiatric Institute & Clinic, UPMC, 3811 O'Hara Street, E503, Pittsburgh, PA 15213, USA.",eng,,Review,,,United States,Child Adolesc Psychiatr Clin N Am,9313451,1056-4993,,,,6,0,ppublish,,10.1016/j.chc.2018.05.007
,,,30157089,,2018,8,30,,,1938-808X,,,Academic medicine : journal of the Association of American Medical Colleges,Acad Med,b'Medical Student Suicide Rates: A Systematic Review of the Historical and International Literature.',10.1097/ACM.0000000000002430,,"b'Gaps exist in knowledge of medical student suicide rates, risk factors, and targets for intervention. Significant barriers have impeded information collection. Yet, more comprehensive data collection is needed to understand suicide risk in this population and to implement and improve effective intervention strategies.'",,,Rackley,Sandra J,SJ,,"C.J. Blacker is fellow and instructor, Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota; ORCID: https://orcid.org/0000-0003-3510-0696. C.P. Lewis is research fellow and instructor, Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota; ORCID: https://orcid.org/0000-0001-8791-657X. C.C. Swintak is assistant professor, Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota. J.M. Bostwick is professor, Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota. S.J. Rackley is assistant professor, Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota.",eng,,Journal Article,,,United States,Acad Med,8904605,1040-2446,,,,6,0,aheadofprint,,10.1097/ACM.0000000000002430
,,,29544883,,2018,3,17,,,1097-6833,,,The Journal of pediatrics,J. Pediatr.,b'A School-Based Multilevel Study of Adolescent Suicide Ideation in California High Schools.',10.1016/j.jpeds.2017.12.070,,"b'Differences among schools in student suicide ideation are meaningful. The findings suggest an emphasis on the role of schools in prevention programs, public health campaigns to reduce suicide, multilevel research, and theory development.'",,,Roziner,Ilan,I,,"Sackler Faculty of Medicine, Tel Aviv University, Israel.",eng,,Journal Article,,,United States,J Pediatr,0375410,0022-3476,,,,6,0,ppublish,,10.1016/j.jpeds.2017.12.070
,,,2135823,,2018,3,8,,,1497-0015,,,Canadian journal of psychiatry. Revue canadienne de psychiatrie,Can J Psychiatry,b'Death by Suicide among Canadian Medical Students: A National Survey-Based Study.',10.1177/0706743717746663,,"b'Our estimated suicide rate falls within previously reported rates in medical students. While this may be lower than the national rate for Canadians between the ages of 20-30 years old, any suicide in the medical student community must be an impetus for national dialogue and further study. A strategy is needed to better define the prevalence, risk factors for and impact of medical student suicide in Canada.'",,,Roston,Christina,C,,"2 Student Affairs, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.",eng,,Journal Article,,,United States,Can J Psychiatry,7904187,0706-7437,,,,6,0,ppublish,,PMC5846966
,,,29174737,,2017,11,28,,,1573-2517,,,Journal of affective disorders,J Affect Disord,b'The role of media in preventing student suicides: A Hong Kong experience.',10.1016/j.jad.2017.11.007,,"b""The recent surge of student suicides in Hong Kong was statistically abnormal. Media engagement has changed local suicide news-reporting to become more preventive, which could have contributed to the drop of student suicides. It is essential to sustain the media's coverage of preventive reporting to maintain its enduring effect.""",,,Yip,Paul S F,PSF,,"Hong Kong Jockey Club Center for Suicide Research and Prevention, and Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong Special Administrative Region. Electronic address: sfpyip@hku.hk.",eng,,"Research Support, Non-U.S. Gov't",,,Netherlands,J Affect Disord,7906073,0165-0327,,,,6,0,ppublish,,10.1016/j.jad.2017.11.007
,,,27736739,,2016,10,14,,,1573-2517,,,Journal of affective disorders,J Affect Disord,"b""The impact of a student's suicide: Teachers' perspectives.""",10.1016/j.jad.2016.09.058,,"b""The study showed high levels of distress among teachers after exposure to a student's suicide and greater need for help than that obtained.""",,,De Leo,Diego,D,,"Australian Institute for Suicide Research and Prevention, National Centre of Excellence in Suicide Prevention, World Health Organization Collaborating Centre for Research and Training in Suicide Prevention, Griffith University, Australia.",eng,,Journal Article,,,Netherlands,J Affect Disord,7906073,0165-0327,,,,6,0,ppublish,,10.1016/j.jad.2016.09.058
,,,19261563,,2016,9,15,,,1471-2458,,,BMC public health,BMC Public Health,b'Development of suicide postvention guidelines for secondary schools: a Delphi study.',10.1186/s12889-016-2822-6,,"b'In order to respond effectively and safely to the suicide of a student, schools need to undertake a variety of postvention actions. These are the first set of postvention guidelines produced worldwide for secondary schools that are based on expert opinion using the Delphi method.'",,,Robinson,Jo,J,,"headspace National Youth Mental Health Foundation, 485 La Trobe St, Victoria, 3000, Australia. jo.robinson@orygen.org.au.",eng,,"Research Support, Non-U.S. Gov't",,,England,BMC Public Health,100968562,1471-2458,,,,6,0,epublish,,PMC4765027
,,,28345178,,2016,12,15,,,1943-278X,,,Suicide & life-threatening behavior,Suicide Life Threat Behav,b'The Interpersonal-Psychological Theory of Suicide in College Student Suicide Screening.',10.1111/sltb.12188,,"b'Suicide screening on campus is limited by effectiveness of existing questionnaires. This study tests whether Interpersonal-Psychological Theory of Suicide (IPTS) constructs may be more effective in screening than traditional risk factors measures like the Interactive Screening Protocol (ISP). Participants were 188 traditional-age students from three different campuses recruited through a subject pool and peer recruiters. IPTS risk variables as a set explained all likelihood of higher risk responses to suicidality questions that was otherwise explained by risk factors, plus additional likelihood besides. Current IPTS measures are no screening ""magic bullet,"" but further inquiry into use of these constructs is warranted.'",,,Ream,Geoffrey L,GL,,"School of Social Work, Adelphi University, Garden City, NY, USA.",eng,,Journal Article,,,England,Suicide Life Threat Behav,7608054,0363-0234,,,,6,0,ppublish,,10.1111/sltb.12188
,,,25353703,,2014,12,20,,,1469-493X,,,The Cochrane database of systematic reviews,Cochrane Database Syst Rev,b'Interventions for primary prevention of suicide in university and other post-secondary educational settings.',10.1002/14651858.CD009439.pub2,,"b'We found insufficient evidence to support widespread implementation of any programs or policies for primary suicide prevention in post-secondary educational settings. As all evaluated interventions combined primary and secondary prevention components, we were unable to determine the independent effects of primary preventive interventions. Classroom instruction and gatekeeper training increased short-term suicide-related knowledge. We found no studies that tested the effects of classroom instruction on suicidal behavior or long-term outcomes. Limited evidence suggested minimal longer-term effects of gatekeeper training on suicide-related knowledge, while no evidence was found evaluating its effect on suicidal behavior. A policy-based suicide intervention reduced student suicide, but findings have not been replicated. Our findings are limited by the overall low quality of the evidence and the lack of studies from middle- and low-income countries. Rigorously designed studies should test the effects of preventive interventions on important health outcomes, including suicidal ideation and behavior, in varying post-secondary settings.'",,,DiGuiseppi,Carolyn,C,,"Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, 13001 E 17th Pl, Box B119, Aurora, CO, USA, 80045.",eng,,Review,,,England,Cochrane Database Syst Rev,100909747,1361-6137,,,,6,0,epublish,,10.1002/14651858.CD009439.pub2
,,,25010552,,2017,1,24,,,1940-3208,,,Journal of American college health : J of ACH,J Am Coll Health,b'Sociodemographic Correlates of Suicidal Thoughts and Behaviors Among College Student Service Members/Veterans.',10.1080/07448481.2014.939982,,"b'Observed rates of suicidal thoughts and behaviors among student service members/veterans are comparable to general college study rates, but Native American student service members/veterans demonstrate increased risk.'",,,Bryan,AnnaBelle O,AO,,,eng,,Journal Article,,,United States,J Am Coll Health,8214119,0744-8481,,,,6,0,ppublish,,10.1080/07448481.2014.939982
,,,23246072,,2014,2,1,,,1532-8384,,,Comprehensive psychiatry,Compr Psychiatry,b'Temperament and character profiles of Japanese university student suicide completers.',S0010-440X(12)00246-5,,b'These results suggest that higher HA scores may predict suicide completion.',,,Kusumi,Ichiro,I,,"Department of Psychiatry, Hokkaido University Graduate School of Medicine, Sapporo, Japan. nmitsui@med.hokudai.ac.jp",eng,,"Research Support, Non-U.S. Gov't",,,United States,Compr Psychiatry,0372612,0010-440X,,,,6,0,ppublish,,10.1016/j.comppsych.2012.11.002
,,,21535095,,2011,12,14,,,1943-278X,,,Suicide & life-threatening behavior,Suicide Life Threat Behav,"b'Rate, relative risk, and method of suicide by students at 4-year colleges and universities in the United States, 2004-2005 through 2008-2009.'",10.1111/j.1943-278X.2011.00034.x,,"b'A total of 622 suicides were reported among students attending 645 distinct campuses from 2004-2005 through 2008-2009. Adjusting for gender in the population at risk of 14.9 million student-years and for the source of these data, the student suicide rate of 7.0 was significantly and substantially lower than for a matched national sample. Suicide rates by firearm were significantly and substantially lower for both female and male students. Hanging was significantly and substantially lower for male students, less prominently so for female students. It is principally the ninefold decrease in the availability of firearms on campuses (vs. homes) and secondarily other features of the campus environment that are the bases for lower student suicide rates.'",,,Schwartz,Allan J,AJ,,"University Counseling Center, University of Rochester, NY 14627-0356, USA. allan.schwartz@rochester.edu",eng,,Journal Article,,,England,Suicide Life Threat Behav,7608054,0363-0234,,,,6,0,ppublish,,10.1111/j.1943-278X.2011.00034.x
,,,20873535,,2010,10,23,,,0030-2228,,,Omega,Omega (Westport),b'The role of perfectionism in student suicide: three case studies from the UK.',,,"b'A number of studies have investigated the relationship between suicide and perfectionism but none to our knowledge have been based on studies of completed suicides. This article aims to provide important insight into the potency that certain profiles of perfectionism can claim in the path to suicide by presenting three case studies from a U.K. study of student suicide. Collectively, these case studies provide theoretical support for existing frameworks and are consistent with other literature which emphasizes those forms of perfectionism that engender severe self-criticism and self-doubt and fear of failure as most destructive.'",,,Manthorpe,Jill,J,,"Department of Social Sciences, The University of Hull, United Kingdom. J.bell@hull.ac.uk",eng,,"Research Support, Non-U.S. Gov't",,,United States,Omega (Westport),1272106,0030-2228,,,,6,0,ppublish,,10.2190/OM.61.3.e
,,,20455153,,2010,9,2,,,1543-6136,,,Archives of suicide research : official journal of the International Academy for Suicide Research,Arch Suicide Res,b'Circle of strength: a case description of culturally integrated suicide prevention.',10.1080/13811111003704852,,"b'This article presents a case description of an American Indian female at high risk for suicide in effort to document the potential effectiveness of a college student suicide prevention program designed for Northern Plains American Indian students. The program is integrative and culturally grounded within the Medicine Wheel, stressing continuity of care through programming and ongoing communication across support systems. The composite case description presented illustrates the secondary prevention aspects of the model, and how utilizing the model within the framework of continuous care was helpful for a suicidal person and produced a successful outcome over the course of 6 months.'",,,Muehlenkamp,Jennifer J,JJ,,"Department of Rural Health, University of North Dakota, 501 N. Columbia Road, Grand Forks, ND 58202, USA. jgray@medicine.nodak",eng,,Journal Article,,,England,Arch Suicide Res,9504451,1381-1118,,,,6,0,ppublish,,10.1080/13811111003704852
,,,20305588,,2010,10,12,,,0353-5053,,,Psychiatria Danubina,Psychiatr Danub,"b'Self-poisoning suicide attempts among students in Tehran, Iran.'",,,"b'The emphasis in student suicide prevention programs must be on early identification of students at risk, and appropriate treatment of episodes of psychopathology.'",,,Seghatoleslam,Tahereh,T,,"Department of Medical Toxicology and Forensic Medicine, Ardabil University of Medical Sciences, Ardabil, Iran.",eng,,"Research Support, Non-U.S. Gov't",,,Croatia,Psychiatr Danub,9424753,0353-5053,,,,6,0,ppublish,,20305588
,,,18477519,,2008,5,15,,,0744-8481,,,Journal of American college health : J of ACH,J Am Coll Health,b'Comprehensive college student suicide assessment: application of the BASIC ID.',10.3200/JACH.56.6.643-650,,"b""Whether one knows someone who is thinking of suicide, has attempted suicide, or has completed suicide, nearly all individuals who encounter suicide are affected. The influence and residual affects of suicide are further amplified as the issue reaches across communities such as college or university campuses. College and university staff must improve their response to suicidal ideation with comprehensive assessment and intervention. The authors discuss risk factors and basic screening methods for suicide risk. They present Lazarus' BASIC ID tool (ie, Behavior, Affective Responses, Sensations, Images, Cognitions, Interpersonal Relationships, and Drugs or Biological Influences) as a method for conducting a comprehensive suicide assessment. The authors demonstrate assessment procedures through a case vignette.""",,,Minton,Casey A Barrio,CA,,"Department of Graduate Studies in Counseling, Rollins College, Winter Park, FL 32789-4499, USA. dpaladino@rollins.edu",eng,,Journal Article,,,United States,J Am Coll Health,8214119,0744-8481,,,,9,0,ppublish,,10.3200/JACH.56.6.643-650
,,,17258106,,2007,1,30,,,0883-9417,,,Archives of psychiatric nursing,Arch Psychiatr Nurs,b'Assisting nursing faculty through the crisis and resolution of student suicide.',,,"b'The statistics on suicide in the United States are noteworthy, with current estimates revealing that one suicide occurs every 17 minutes. Although minimally addressed in the nursing literature in the 1990s, nursing student suicide and its effects remain important topics to revisit. Nursing program administrators and faculty innately know how to assist surviving nursing students through a crisis such as this. However, the same attention and resolve do not appear to be focused on surviving nursing faculty and staff. This article profiles a crisis intervention approach that may be considered for implementation in nursing programs before a crisis (such as a nursing student suicide) occurs so that appropriate and systematic interventions are put into action for all who may be affected.'",,,Mintz-Binder,Ronda,R,,"Frances P. Bolton School of Nursing, Case Western Reserve University, Cleveland, OH, USA. mintzr@lacitycollege.edu",eng,,Journal Article,,,United States,Arch Psychiatr Nurs,8708534,0883-9417,,,,9,0,ppublish,,10.1016/j.apnu.2006.08.002
,,,17024786,,2006,10,10,,,0748-1187,,,Death studies,Death Stud,b'College student suicide: a call to action.',,,"b'This article examines current issues related to the topic of college student suicide and why it continues to be an issue of major concern. The nature/extent of the problem, risk and protective factors, responses to college student suicide, legal issues, and training issues are discussed. The importance of addressing the issue of college student suicide and its prevention on college campuses is emphasized as is the importance of protective factors. Although more is being done to address this issue than has been done in the past, it remains a major concern, and it is an issue that requires a strong national response.'",,,Tallman,Benjamin,B,,"University of Iowa, 356 Lindquist Center, Iowa City, IA 52242, USA. john_westefeld@uiowa.edu",eng,,Journal Article,,,United States,Death Stud,8506890,0748-1187,,,,9,0,ppublish,,10.1080/07481180600887130
,,,16789651,,2006,6,23,,,0744-8481,,,Journal of American college health : J of ACH,J Am Coll Health,b'Four eras of study of college student suicide in the United States: 1920-2004.',,,"b'Studies of college student suicide can be grouped into the following 4 eras: 1920-1960, 1960-1980, 1980-1990, and 1990-2004. The suicide rate for students has declined monotonically across these 4 eras, from 13.4 to 8.0 to 7.5 and, most recently, to 6.5. The decreasing proportion of men in the student populations studied largely accounts for this decline. Since 1960, the suicide rate for students has consistently been about half the rate of the general US population, matched for age and gender. This highly favorable relative suicide rate is the result of firearms having been effectively banned from campuses. Additional population-oriented approaches warrant implementation to further reduce student-suicide rates. Approaches focused on high-risk groups also hold promise. These findings are based upon and may be most valid for the 70% of all students who attend 4-year colleges and universities full time.'",,,Schwartz,Allan J,AJ,,"University of Counseling Center, University of Rochester, New York 14627-0356, USA. ajsz@mail.rochester.edu",eng,,Journal Article,,,United States,J Am Coll Health,8214119,0744-8481,,,,9,0,ppublish,,10.3200/JACH.54.6.353-366
,,,16789650,,2006,6,23,,,0744-8481,,,Journal of American college health : J of ACH,J Am Coll Health,b'College student suicide in the United States: 1990-1991 through 2003-2004.',,,"b'Suggestions that there is a growing epidemic of suicide among college students in the United States are false. The National Survey of Counseling Center Directors reports 1,404 student suicides over a 14-year period and an adjusted suicide rate of 6.5, half the rate of the general US population (12.6 for all races) during this period when matched for gender and age. Counseling centers appear effective in treating suicidal students, for although the suicide rate for students who were currently or previously clients at campus counseling centers is 3 times the rate of other students, student clients have 18 times the risk of suicide compared to students in general. Identifying and referring students at elevated risk for suicide could further reduce the crude and relative rate of student suicide. However, even programs that do this only moderately well may require substantial increases in counseling staffing.'",,,Schwartz,Allan J,AJ,,"University of Counseling Center, University of Rochester, New York 14627-0356, USA. ajsz@mail.rochester.edu",eng,,Journal Article,,,United States,J Am Coll Health,8214119,0744-8481,,,,9,0,ppublish,,10.3200/JACH.54.6.341-352
,,,16552979,,2006,3,24,,,0363-0234,,,Suicide & life-threatening behavior,Suicide Life Threat Behav,b'Perceptions concerning college student suicide: data from four universities.',,,"b'The issue of suicide, including prevention, intervention, and postvention, continues to be a problem on college campuses. For this study, data concerning a variety of issues related to college student suicide were collected from 1,865 students at four different universities. Incidence, risk factors, and potential solutions are described, as well as implications for mental health professionals in university settings.'",,,Werth,James L,JL,,"Counseling Psychology, College of Education, The University of Iowa, Iowa City, IA 52242-1529, USA. John_Westefeld@uiowa.edu",eng,,Journal Article,,,England,Suicide Life Threat Behav,7608054,0363-0234,,,,9,0,ppublish,,16552979
,,,10855511,,2000,6,16,,,0933-7954,,,Social psychiatry and psychiatric epidemiology,Soc Psychiatry Psychiatr Epidemiol,b'Suicide amongst Cambridge University students 1970-1996.',,,b'Suicide rates in University of Cambridge students do not appear to be unduly high.',,,Paykel,E S,ES,,"St Lawrences Hospital, Bodmin, Cornwall, UK.",eng,,"Research Support, Non-U.S. Gov't",,,Germany,Soc Psychiatry Psychiatr Epidemiol,8804358,0933-7954,,,,9,0,ppublish,,10855511
,,,9357084,,1997,11,14,,,0363-0234,,,Suicide & life-threatening behavior,Suicide Life Threat Behav,b'The Big Ten Student Suicide Study: a 10-year study of suicides on midwestern university campuses.',,,"b'The Big Ten Student Suicide Study was undertaken from 1980-1990 to determine the suicide rates on Big Ten University campuses. The study design attempted to address many of the statistical and epidemiological flaws identified in previous studies of campus student suicides. The 10-year study collected demographic and correlational data on 261 suicides of registered students at 12 midwestern campuses. The largest number of suicides for both males and females were in the 20-24-year-old age group (46%), and amongst graduate students (32%). The overall student suicide rate of 7.5/100,000 is one half of the computed national suicide rate (15.0/100,000) for a matched sample by age, gender, and race. Despite the overall lower suicide rate, the analyses revealed that students 25 and over have a significantly higher risk than younger students. Although women have rates roughly half those of men throughout their undergraduate years, graduate women have rates not significantly different from their male counterparts (graduate women 9.1/100,000 and graduate men 11.6/100,000).'",,,Pratt,D M,DM,,"Department of Psychiatry, University of Chicago, IL 60637-1507, USA.",eng,,"Research Support, Non-U.S. Gov't",,,England,Suicide Life Threat Behav,7608054,0363-0234,,,,0,0,ppublish,,9357084
,,,8599405,,1996,4,1,,,0002-953X,,,The American journal of psychiatry,Am J Psychiatry,"b'Medical student suicide, 1989-1994.'",,,b'The results demonstrate a lower suicide rate than that found in previous studies and emphasize the need for standardized reporting methods.',,,Patel,P,P,,"Department of Psychiatry, College of Medicine, University of Kentucky, Lexington, 40536, USA.",eng,,Journal Article,,,United States,Am J Psychiatry,0370512,0002-953X,,,,0,0,ppublish,,10.1176/ajp.153.4.553
,,,8376680,,1993,7,1,,,0744-8481,,,Journal of American college health : J of ACH,J Am Coll Health,b'Becoming a part of the community: implementing a public health vision in student health services.',,,"b""Principles from public health and community health nursing provide an approach to student health services that enhances interdisciplinary collaboration and advocacy for access to care. Staff participation in the campus community requires administrative support, both in philosophy and in making outreach activities accessible to staff. Student health services at University of Maine's Cutler Health Center in Orono is implementing outreach and community involvement as ongoing aspects of the college health nursing role. Increased collaboration, visibility of nurses on campus, and improved community assessment and intervention are among the outcomes observed during the past 2 years. This article describes the principles that guide this approach and shares some community involvement experiences, including the response to a student suicide attempt, social support for students after a residence hall fire, and case management/consultation services.""",,,Eastman,M A,MA,,"Student Health Services, Cutler Health Center, University of Maine, Orono.",eng,,Journal Article,,,United States,J Am Coll Health,8214119,0744-8481,,,,0,0,ppublish,,10.1080/07448481.1993.9940457
,,,8310467,,1993,1,1,,,0363-0234,,,Suicide & life-threatening behavior,Suicide Life Threat Behav,b'Campus student suicide rates: fact or artifact?',,,"b'A review of all English-language studies (14 foreign and 17 American) on campus student suicides was undertaken. Only studies reporting original data and containing sufficient demographic information to compute standard mortality rates (SMR) or crude suicide rates were analyzed and organized into single-site studies. Only 4 single-site studies had a higher suicide rate than the comparable populations. Multiple-site collaborative studies done in the United States since 1960 strongly suggest a campus student suicide rate significantly less than in the matched control population. However, deficiencies in case finding, case definition, sampling bias, and statistical techniques may place these conclusions in doubt. The author outlines research methods that might be applied to future multiple-site studies to resolve questions related to late adolescent and young adult suicidal behavior on campus and in other similar educational settings.'",,,Silverman,M M,MM,,"Department of Psychiatry, University of Chicago, IL 60637.",eng,,Review,,,England,Suicide Life Threat Behav,7608054,0363-0234,,,,0,0,ppublish,,8310467
,,,3071541,,1988,9,1,,,0744-8481,,,Journal of American college health : J of ACH,J Am Coll Health,b'College student suicide in the United States: incidence data and prospects for demonstrating the efficacy of preventative programs.',,,,,,Reifler,C B,CB,,,eng,,Review,,,United States,J Am Coll Health,8214119,0744-8481,,,,0,0,ppublish,,10.1080/07448481.1988.9939042
,,,3499368,,1987,9,1,,,0720-4299,,,Fortschritte der Neurologie-Psychiatrie,Fortschr Neurol Psychiatr,b'[The problem of student suicide].',,,"b'This study is a psychiatric survey of the student suicide at the Tokyo University. Counting the cases reported as such to the university administration, a total of 65 students committed suicide during the 20 years from 1962 till 1981. This amounts to a yearly average of 25.6 cases per 100,000 students. A comparison of this quota with that of several Japanese and foreign universities is made. In 1970, the year in which the students unrest at the Japanese universities reached its peak, the frequency of the suicide fell to its all time low. A possible explanation of this phenomenon is proposed. Out of the 65 students who committed suicide, 25 (38%) have at least once visited the psychiatric clinic of the Tokyo University. In view of the high percentage of the mentally disturbed students in the total number of suicides, the importance of measures taken of foster the mental health of the students is stressed for reasons of suicide prophylaxis. The issue in most of these cases was the conflict between the required scholastic accomplishments and the failure of achieving them. The resulting frustration becomes the immediate motive of the suicide. Therefore, a more intensive psychiatric care of such students is recommended especially during the examination season from January till May, when in Japan the students are exposed to the highest psychological stress. Out of 25 mentally disturbed students who ended by committing suicide, 18 revealed their desire to die in a more or less expressed way already during the time of their psychiatric treatment or consultation.(ABSTRACT TRUNCATED AT 250 WORDS)'",,,Ishikawa,K,K,,Psychiatric Research Institute of Tokyo.,ger,,Journal Article,,,Germany,Fortschr Neurol Psychiatr,8103137,0720-4299,,,,0,0,ppublish,,10.1055/s-2007-1001829
,,,6966641,,1980,2,1,,,0002-7944,,,Journal of the American College Health Association,J Am Coll Health Assoc,b'Inaccuracy and uncertainty in estimates of college student suicide rates.',,,,,,Schwartz,A J,AJ,,,eng,,Journal Article,,,United States,J Am Coll Health Assoc,7503059,,,,,0,0,ppublish,,6966641
,,,1163687,,1975,7,1,,,0002-9564,,,American journal of psychotherapy,Am J Psychother,b'Growing up dead: student suicide.',,,"b'This article discusses the psychodynamic significance of suicide in the young, the family constellations that produce such suicides, the psychosocial forces contributing to the dramatic rise in the suicide rate of young people, and the special problems in the treatment of the severely suicidal young person.'",,,Hendin,H,H,,,eng,,Journal Article,,,United States,Am J Psychother,0110672,0002-9564,,,,0,0,ppublish,,10.1176/appi.psychotherapy.1975.29.3.327
,,,1117292,,1975,3,1,,,0022-3018,,,The Journal of nervous and mental disease,J. Nerv. Ment. Dis.,b'Student suicide: death as a life style.',,,"b'This is a study of the psychology of college students who are seriously suicidal. Fifty college students who had made suicide attempts were studied in detail over a 5-year period. Short term therapy was administered in most cases and long term therapy in some. Psychological tests (Wechsler Adult Intelligence Scale, Rorschach, Thematic Apperception Test, Sentence Completion, Figure Drawing, and Word Association) were performed and used as an independent check on the data derived from the interviews. The study indicates the ways in which death has become a way of life for these students--an integral, ongoing part of their adaptation. It traces the origin of this adaptation in a family relationship that the students perceived as requiring their emotional extinction. These students are tied to their parents in a kind of death knot and have become overly suicidal when live--coming to college, graduating, becoming seriously involved with another person--threatens to unravel this knot.'",,,Hendin,H,H,,,eng,,"Research Support, U.S. Gov't, Non-P.H.S.",,,United States,J Nerv Ment Dis,0375402,0022-3018,,,,0,0,ppublish,,1117292
,,,5206287,,1970,9,1,,,0036-6579,,,School health review,Sch Health Rev,b'A plan for preventing student suicide.',,,,,,Berg,D E,DE,,,eng,,Journal Article,,,United States,Sch Health Rev,7514117,0036-6579,,,,0,0,ppublish,,5206287
,,,5978026,,1966,12,1,,,0021-843X,,,Journal of abnormal psychology,J Abnorm Psychol,b'Campus tragedy: a study of student suicide.',,,,,,Seiden,R H,RH,,,eng,,Journal Article,,,United States,J Abnorm Psychol,0034461,0021-843X,,,,0,0,ppublish,,5978026
,,,5841014,,1965,12,1,,,0002-7944,,,Journal of the American College Health Association,J Am Coll Health Assoc,b'Student suicide: fact or fancy?',,,,,,Seiden,R H,RH,,,eng,,Journal Article,,,United States,J Am Coll Health Assoc,7503059,,,,,0,0,ppublish,,5841014
,,,14467571,,1961,12,1,,,,,,Stud. med,Studenterraad Med,b'Student suicide at Oxford university. The relevance of a university health service to student mental health.',,,,,,LYMAN,J L,JL,,,eng,,Journal Article,,,Denmark,Studenterraad Med,21020120R,,,,,0,0,ppublish,,14467571


Level 1,Level 2,Level 3,Measure Names,NegPos_Number,List of Values,Measure Values
2016FA,,,Wsch/Ftef,0 Days,All,456.131144600
2016FA,,,Success Rate,0 Days,All,0.724384981
2016FA,,,Sec. Count,0 Days,All,873
2016FA,,,Retention Rate,0 Days,All,0.858264998
2016FA,,,Number Retained,0 Days,All,19886
2016FA,,,Ftes/Ftef,0 Days,All,15.197524220
2016FA,,,Current Fill Rate,0 Days,All,0.659008983
2016FA,,,Census Fill Rate,0 Days,All,0.659008983
2016FA,,,Census Enrollment,0 Days,All,23035
2016FA,,,Number Successful,0 Days,All,16784
2016FA,,,Ftef,0 Days,All,222.96
2016FA,,,Ftes,0 Days,All,3388.44
2016FA,,,Enrollment Capacity,0 Days,All,34954
2016FA,,,Count of Migrated Data,0 Days,All,873
2016FA,,,Current Enrollment,0 Days,All,23035
2016SU,,,Wsch/Ftef,0 Days,All,439.640369663
2016SU,,,Success Rate,0 Days,All,0.813309776
2016SU,,,Sec. Count,0 Days,All,212
2016SU,,,Retention Rate,0 Days,All,0.906753043
2016SU,,,Number Retained,0 Days,All,4619
2016SU,,,Ftes/Ftef,0 Days,All,14.597827555
2016SU,,,Current Fill Rate,0 Days,All,0.455459240
2016SU,,,Census Fill Rate,0 Days,All,0.455551457
2016SU,,,Census Enrollment,0 Days,All,4940
2016SU,,,Number Successful,0 Days,All,4143
2016SU,,,Ftef,0 Days,All,51.831
2016SU,,,Ftes,0 Days,All,756.62
2016SU,,,Enrollment Capacity,0 Days,All,10844
2016SU,,,Count of Migrated Data,0 Days,All,212
2016SU,,,Current Enrollment,0 Days,All,4939
2017FA,,,Wsch/Ftef,0 Days,All,467.801748640
2017FA,,,Success Rate,0 Days,All,0.719672729
2017FA,,,Sec. Count,0 Days,All,917
2017FA,,,Retention Rate,0 Days,All,0.854429098
2017FA,,,Number Retained,0 Days,All,21096.708858196
2017FA,,,Ftes/Ftef,0 Days,All,15.579721914
2017FA,,,Current Fill Rate,0 Days,All,0.663692594
2017FA,,,Census Fill Rate,0 Days,All,0.663692594
2017FA,,,Census Enrollment,0 Days,All,24250
2017FA,,,Number Successful,0 Days,All,17768
2017FA,,,Ftef,0 Days,All,221.658
2017FA,,,Ftes,0 Days,All,3453.37
2017FA,,,Enrollment Capacity,0 Days,All,36538
2017FA,,,Count of Migrated Data,0 Days,All,917
2017FA,,,Current Enrollment,0 Days,All,24250
2017SP,,,Wsch/Ftef,0 Days,All,445.499542203
2017SP,,,Success Rate,0 Days,All,0.727512104
2017SP,,,Sec. Count,0 Days,All,900
2017SP,,,Retention Rate,0 Days,All,0.857980124
2017SP,,,Number Retained,0 Days,All,20203.715960248
2017SP,,,Ftes/Ftef,0 Days,All,14.855408799
2017SP,,,Current Fill Rate,0 Days,All,0.606360975
2017SP,,,Census Fill Rate,0 Days,All,0.606360975
2017SP,,,Census Enrollment,0 Days,All,22573
2017SP,,,Number Successful,0 Days,All,17130
2017SP,,,Ftef,0 Days,All,220.622
2017SP,,,Ftes,0 Days,All,3277.43
2017SP,,,Enrollment Capacity,0 Days,All,37227
2017SP,,,Count of Migrated Data,0 Days,All,900
2017SP,,,Current Enrollment,0 Days,All,22573
2017SU,,,Wsch/Ftef,0 Days,All,433.994787712
2017SU,,,Success Rate,0 Days,All,0.806141634
2017SU,,,Sec. Count,0 Days,All,204
2017SU,,,Retention Rate,0 Days,All,0.905577606
2017SU,,,Number Retained,0 Days,All,4335
2017SU,,,Ftes/Ftef,0 Days,All,14.418542611
2017SU,,,Current Fill Rate,0 Days,All,0.445171074
2017SU,,,Census Fill Rate,0 Days,All,0.445171074
2017SU,,,Census Enrollment,0 Days,All,4697
2017SU,,,Number Successful,0 Days,All,3859
2017SU,,,Ftef,0 Days,All,48.731
2017SU,,,Ftes,0 Days,All,702.63
2017SU,,,Enrollment Capacity,0 Days,All,10551
2017SU,,,Count of Migrated Data,0 Days,All,204
2017SU,,,Current Enrollment,0 Days,All,4697
2018FA,,,Wsch/Ftef,0 Days,All,526.296691382
2018FA,,,Success Rate,0 Days,All,0.717551963
2018FA,,,Sec. Count,0 Days,All,948
2018FA,,,Retention Rate,0 Days,All,0.847613549
2018FA,,,Number Retained,0 Days,All,22022.695227098
2018FA,,,Ftes/Ftef,0 Days,All,16.336956142
2018FA,,,Current Fill Rate,0 Days,All,0.682108330
2018FA,,,Census Fill Rate,0 Days,All,0.682108330
2018FA,,,Census Enrollment,0 Days,All,25753
2018FA,,,Number Successful,0 Days,All,18642
2018FA,,,Ftef,0 Days,All,228.736
2018FA,,,Ftes,0 Days,All,3736.85
2018FA,,,Enrollment Capacity,0 Days,All,37755
2018FA,,,Count of Migrated Data,0 Days,All,948
2018FA,,,Current Enrollment,0 Days,All,25753
2018SP,,,Wsch/Ftef,0 Days,All,449.767579955
2018SP,,,Success Rate,0 Days,All,0.727329296
2018SP,,,Sec. Count,0 Days,All,907
2018SP,,,Retention Rate,0 Days,All,0.854932382
2018SP,,,Number Retained,0 Days,All,20609.854932382
2018SP,,,Ftes/Ftef,0 Days,All,14.989840321
2018SP,,,Current Fill Rate,0 Days,All,0.607247535
2018SP,,,Census Fill Rate,0 Days,All,0.607007727
2018SP,,,Census Enrollment,0 Days,All,22781
2018SP,,,Number Successful,0 Days,All,17533
2018SP,,,Ftef,0 Days,All,215.558
2018SP,,,Ftes,0 Days,All,3231.18
2018SP,,,Enrollment Capacity,0 Days,All,37530
2018SP,,,Count of Migrated Data,0 Days,All,907
2018SP,,,Current Enrollment,0 Days,All,22790
2018SU,,,Wsch/Ftef,0 Days,All,416.373549068
2018SU,,,Success Rate,0 Days,All,0.799879324
2018SU,,,Sec. Count,0 Days,All,206
2018SU,,,Retention Rate,0 Days,All,0.899034594
2018SU,,,Number Retained,0 Days,All,4470
2018SU,,,Ftes/Ftef,0 Days,All,13.390124868
2018SU,,,Current Fill Rate,0 Days,All,0.443909803
2018SU,,,Census Fill Rate,0 Days,All,0.443909803
2018SU,,,Census Enrollment,0 Days,All,4705
2018SU,,,Number Successful,0 Days,All,3977
2018SU,,,Ftef,0 Days,All,45.488
2018SU,,,Ftes,0 Days,All,609.09
2018SU,,,Enrollment Capacity,0 Days,All,10599
2018SU,,,Count of Migrated Data,0 Days,All,206
2018SU,,,Current Enrollment,0 Days,All,4705
2019FA,,,Wsch/Ftef,0 Days,All,534.423811177
2019FA,,,Success Rate,0 Days,All,0.717577052
2019FA,,,Sec. Count,0 Days,All,965
2019FA,,,Retention Rate,0 Days,All,0.867256637
2019FA,,,Number Retained,0 Days,All,22746.407079646
2019FA,,,Ftes/Ftef,0 Days,All,16.470843457
2019FA,,,Current Fill Rate,0 Days,All,0.685070452
2019FA,,,Census Fill Rate,0 Days,All,0.685070452
2019FA,,,Census Enrollment,0 Days,All,26206
2019FA,,,Number Successful,0 Days,All,18812
2019FA,,,Ftef,0 Days,All,230.48
2019FA,,,Ftes,0 Days,All,3796.2
2019FA,,,Enrollment Capacity,0 Days,All,38253
2019FA,,,Count of Migrated Data,0 Days,All,965
2019FA,,,Current Enrollment,0 Days,All,26206
2019SP,,,Wsch/Ftef,0 Days,All,498.663101604
2019SP,,,Success Rate,0 Days,All,0.737879930
2019SP,,,Sec. Count,0 Days,All,925
2019SP,,,Retention Rate,0 Days,All,0.868835301
2019SP,,,Number Retained,0 Days,All,20754.737670602
2019SP,,,Ftes/Ftef,0 Days,All,15.258180005
2019SP,,,Current Fill Rate,0 Days,All,0.622741931
2019SP,,,Census Fill Rate,0 Days,All,0.622741931
2019SP,,,Census Enrollment,0 Days,All,23752
2019SP,,,Number Successful,0 Days,All,17625
2019SP,,,Ftef,0 Days,All,220.66
2019SP,,,Ftes,0 Days,All,3366.87
2019SP,,,Enrollment Capacity,0 Days,All,38141
2019SP,,,Count of Migrated Data,0 Days,All,925
2019SP,,,Current Enrollment,0 Days,All,23752
2019SU,,,Wsch/Ftef,0 Days,All,439.208664512
2019SU,,,Success Rate,0 Days,All,0.801182708
2019SU,,,Sec. Count,0 Days,All,219
2019SU,,,Retention Rate,0 Days,All,0.909461664
2019SU,,,Number Retained,0 Days,All,4460.909461664
2019SU,,,Ftes/Ftef,0 Days,All,12.898943139
2019SU,,,Current Fill Rate,0 Days,All,0.439249796
2019SU,,,Census Fill Rate,0 Days,All,0.439249796
2019SU,,,Census Enrollment,0 Days,All,4848
2019SU,,,Number Successful,0 Days,All,3929
2019SU,,,Ftef,0 Days,All,45.796
2019SU,,,Ftes,0 Days,All,590.72
2019SU,,,Enrollment Capacity,0 Days,All,11037
2019SU,,,Count of Migrated Data,0 Days,All,219
2019SU,,,Current Enrollment,0 Days,All,4848
2020FA,,,Wsch/Ftef,0 Days,All,537.534167746
2020FA,,,Success Rate,0 Days,All,0.739353561
2020FA,,,Sec. Count,0 Days,All,883
2020FA,,,Retention Rate,0 Days,All,0.889844242
2020FA,,,Number Retained,0 Days,All,20566.080129648
2020FA,,,Ftes/Ftef,0 Days,All,16.725890759
2020FA,,,Current Fill Rate,0 Days,All,0.692669553
2020FA,,,Census Fill Rate,0 Days,All,0.692669553
2020FA,,,Census Enrollment,0 Days,All,24001
2020FA,,,Number Successful,0 Days,All,16424
2020FA,,,Ftef,0 Days,All,208.53
2020FA,,,Ftes,0 Days,All,3487.85
2020FA,,,Enrollment Capacity,0 Days,All,34650
2020FA,,,Count of Migrated Data,0 Days,All,883
2020FA,,,Current Enrollment,0 Days,All,24001
2020SP,,,Wsch/Ftef,0 Days,All,495.278442091
2020SP,,,Success Rate,0 Days,All,0.689634765
2020SP,,,Sec. Count,0 Days,All,941
2020SP,,,Retention Rate,0 Days,All,0.774391275
2020SP,,,Number Retained,0 Days,All,18329.841477849
2020SP,,,Ftes/Ftef,0 Days,All,15.171574991
2020SP,,,Current Fill Rate,0 Days,All,0.600540680
2020SP,,,Census Fill Rate,0 Days,All,0.600540680
2020SP,,,Census Enrollment,0 Days,All,23325
2020SP,,,Number Successful,0 Days,All,16314
2020SP,,,Ftef,0 Days,All,219.525
2020SP,,,Ftes,0 Days,All,3330.54
2020SP,,,Enrollment Capacity,0 Days,All,38840
2020SP,,,Count of Migrated Data,0 Days,All,941
2020SP,,,Current Enrollment,0 Days,All,23325
2020SU,,,Wsch/Ftef,0 Days,All,528.124469864
2020SU,,,Success Rate,0 Days,All,0.783439490
2020SU,,,Sec. Count,0 Days,All,189
2020SU,,,Retention Rate,0 Days,All,0.882648137
2020SU,,,Number Retained,0 Days,All,4578.295888825
2020SU,,,Ftes/Ftef,0 Days,All,15.619077624
2020SU,,,Current Fill Rate,0 Days,All,0.535864556
2020SU,,,Census Fill Rate,0 Days,All,0.535864556
2020SU,,,Census Enrollment,0 Days,All,5349
2020SU,,,Number Successful,0 Days,All,4059
2020SU,,,Ftef,0 Days,All,41.263
2020SU,,,Ftes,0 Days,All,644.49
2020SU,,,Enrollment Capacity,0 Days,All,9982
2020SU,,,Count of Migrated Data,0 Days,All,189
2020SU,,,Current Enrollment,0 Days,All,5349
2021SP,,,Wsch/Ftef,0 Days,All,495.470663682
2021SP,,,Success Rate,0 Days,All,0.245901639
2021SP,,,Sec. Count,0 Days,All,826
2021SP,,,Retention Rate,0 Days,All,0.286299766
2021SP,,,Number Retained,0 Days,All,610.677400468
2021SP,,,Ftes/Ftef,0 Days,All,14.815230239
2021SP,,,Current Fill Rate,0 Days,All,0.626792088
2021SP,,,Census Fill Rate,0 Days,All,0.626792088
2021SP,,,Census Enrollment,0 Days,All,20723
2021SP,,,Number Successful,0 Days,All,420
2021SP,,,Ftef,0 Days,All,198.815
2021SP,,,Ftes,0 Days,All,2945.490000000
2021SP,,,Enrollment Capacity,0 Days,All,33062
2021SP,,,Count of Migrated Data,0 Days,All,826
2021SP,,,Current Enrollment,0 Days,All,20723


Field Name,Data Type,Definition,Notes (optional)
Project ID,Text,Project unique identification number,
Project Status,Text,Construction status of project at time of report,"Projects in predevelopment feasibility may not include unit types, target populations or affordability levels due to early stage of development"
Project Name,Text,MOHCD defined project name,
Preliminary/Marketing Address,Text,MOHCD defined address fields,
Planning Address,Text,Planning Department project address,
APN(s),Text,Project Assessor-Recorder parcel number(s),
Supervisor District,Text,Supervisorial District of project,http://data.sfgov.org/d/xz9b-wyfc
Planning Neighborhood,Text,Planning Neighborhood of project,https://data.sfgov.org/d/iacs-ws63
Lead Agency,Text,Agency overseeing project development,"MOHCD, OCII"
Program Area,Text,MOHCD/OCII project program area,"Program or OCII project area under which project is financed, underwritten or developed"
Project Type,Text,Type of development project,New construction or rehabilitation
Housing Tenure,Text,Type of arrangement households can occupy the housing,Rental or Ownership
Issuance of Notice to Proceed,Date,Date project is authorized to begin construction,Projected date Notice to Proceed will be issued to general contractor
Estimated Construction Completion,Date,Estimated date that construction or rehabilitation is complete,Projected date of Temporary Certificate of Occupancy (TCO) or DBI sign-off of completed permit job card
Project Manager,Text,MOHCD/OCII staff assigned to manage project on City's behalf,
Construction Manager,Text,MOHCD construction management staff assigned to oversee construction or rehabilitation on City's behalf,
Project Lead Sponsor,Text,Lead project developer,
Project Co-Sponsor,Text,Project co-developer,Such as joint venture partner
Project Owner,Text,Legal owner of project and borrower of MOHCD/OCII funding,
Developer Contact,Text,Developer's project manager,
DBI Permit Number,Text,Building permit number issued by Department of Building Inspection for projects under construction or rehabilitation,
Project Units,Number,Total number of units in project ,Includes affordable and market rate units
Affordable Units,Number,Total number of affordable units in project ,
Market Rate Units,Number,Total number of market rate units,
% Affordable,Number ,Percentage of affordable units in project,
Studio Units,Number ,Number of affordable studio units,Projects in predevelopment feasibility may not include unit types due to early stage of development
1bd Units,Number ,Number of affordable 1-bedroom units,
2bd Units,Number ,Number of affordable 2-bedroom units,
3bd Units,Number ,Number of affordable 3-bedroom units,
4bd Units,Number ,Number of affordable 4-bedroom units,
5+ bd Units,Number ,Number of affordable 5 bedroom or larger units,
Manager Units,Number,Total number of manager units,
Manager Unit,Text,Bedroom room type of manager's unit(s),
Family Units,Number ,"Units whose occupancy is not restricted by age, special needs population, or formerly homeless designation",Projects in predevelopment feasibility may not include target populations due to early stage of development
Senior Units,Number ,Units whose occupancy is restricted by age,
TAY Units,Number ,Units serving transition-age youth,
Homeless Units,Number ,"Units serving formerly homeless households including but not limited to homeless families, seniors, TAY, veterans and the disabled",
Disabled Units,Number ,Units restricted to disabled households such as the developmentally disabled,
20% AMI,Number ,Number of affordable units at or below 20% AMI,Projects in predevelopment feasibility may not include affordability levels due to early stage of development
30% AMI,Number ,Number of affordable units at or below 30% AMI,
50% AMI,Number ,Number of affordable units at or below 50% AMI,
55% AMI,Number ,Number of affordable units at or below 55% AMI,
60% AMI,Number ,Number of affordable units at or below 60% AMI,
80% AMI,Number ,Number of affordable units at or below 80% AMI,
90% AMI,Number ,Number of affordable units at or below 90% AMI,
100% AMI,Number ,Number of affordable units at or below 100% AMI,
120% AMI,Number ,Number of affordable units at or below 120% AMI,


Variable Name,Value Description,Question Block
How many years of professional experience do you have?,Categorical 5-year increments,All
How many years of data visualization experience do you have doing professional data visualization?,"Categorical, 1-year increments",All
Are you a Data Visualization Society member?,y/n,All
How did you learn data visualization?,"Categorical, values as string",All
What is the highest level of education you have completed?,"Categorical, values as string",All
"If you went to college, in what area was your undergraduate major?","Categorical, values as string",All
In what area was your graduate degree?,"Categorical, values as string",All
What country do you live in?,"Categorical, values as string",All
Do you consider yourself a member of a historically disadvantaged or underrepresented racial or ethnic group?,y/n,All
Which of these best describes your role as a data visualizer in the past year?,Freelance/Consultant/ Independent contractor,All
Which of these best describes your role as a data visualizer in the past year?_1,Position in an organization with some data viz job responsibilities,All
Which of these best describes your role as a data visualizer in the past year?_2,Non-compensated data visualization hobbyist,All
Which of these best describes your role as a data visualizer in the past year?_3,Student,All
Which of these best describes your role as a data visualizer in the past year?_4,Academic/Teacher,All
Which of these best describes your role as a data visualizer in the past year?_5,Passive income from data visualization related products,All
For the majority of your projects: were you hired to do data visualization only or is data visualization a part of your job/project description?,"Categorical, values as string",Freelance
Which one of these is the closest to describing your role when hired to freelance?,"Categorical, values as string",Freelance
"For most of your projects, are you able to choose your own tools or are the choices made for you?","Categorical, values as string",Freelance
"As a freelancer, who do you make data visualizations for?",General Public,Freelance
"As a freelancer, who do you make data visualizations for?_1",Analysts,Freelance
"As a freelancer, who do you make data visualizations for?_2",Engineers,Freelance
"As a freelancer, who do you make data visualizations for?_3",Scientists,Freelance
"As a freelancer, who do you make data visualizations for?_4",Medical Professionals,Freelance
"As a freelancer, who do you make data visualizations for?_5",Product or Project Managers,Freelance
"As a freelancer, who do you make data visualizations for?_6",Policy Makers,Freelance
"As a freelancer, who do you make data visualizations for?_7",Executives,Freelance
"As a freelancer, who do you make data visualizations for?_8",Designers,Freelance
"As a freelancer, who do you make data visualizations for?_9",Researchers,Freelance
"As a freelancer, who do you make data visualizations for?_10",Students or Teachers,Freelance
"As a freelancer, who do you make data visualizations for?_11",Only myself,Freelance
"As a freelancer, who do you make data visualizations for?_12","Other, free text",Freelance
The organization you work for is in which of the following areas?,Journalism,Organization Employee
The organization you work for is in which of the following areas?_1,Public sector (government),Organization Employee
The organization you work for is in which of the following areas?_2,Private sector,Organization Employee
The organization you work for is in which of the following areas?_3,Not-for-profit,Organization Employee
The organization you work for is in which of the following areas?_4,Healthcare/medical,Organization Employee
The organization you work for is in which of the following areas?_5,Information Technology,Organization Employee
The organization you work for is in which of the following areas?_6,Marketing,Organization Employee
The organization you work for is in which of the following areas?_7,Academia,Organization Employee
The organization you work for is in which of the following areas?_8,Consultant (therefore multiple areas),Organization Employee
The organization you work for is in which of the following areas?_9,"Other, free text",Organization Employee
What is the size of your organization?,"Categorical, values as string",Organization Employee
Which of these best describes the role of data visualization in your job?,"Categorical, values as string",Organization Employee
Which one of these is the closest to describing your role at your organization?,"Categorical, values as string",Organization Employee
How is your organization using data visualization?,Analysis,Organization Employee
How is your organization using data visualization?_1,Machine Learning,Organization Employee
How is your organization using data visualization?_2,Summary/Overview,Organization Employee
How is your organization using data visualization?_3,Communication,Organization Employee
How is your organization using data visualization?_4,Marketing,Organization Employee
How is your organization using data visualization?_5,Exploration,Organization Employee
How is your organization using data visualization?_6,Storytelling,Organization Employee
How is your organization using data visualization?_7,Education,Organization Employee
How is your organization using data visualization?_8,"Other, free text",Organization Employee
Is there a separate group dedicated to creating data visualization or are data visualization specialists embedded in another group?,There are no specialists in data visualization in my organization,Organization Employee
What modes of data visualization are in use at your organization?,Business Intelligence Tools (like Tableau),Organization Employee
What modes of data visualization are in use at your organization?_1,Interactive Notebooks,Organization Employee
What modes of data visualization are in use at your organization?_2,"General purpose charting libraries (plotly, highcharts)",Organization Employee
What modes of data visualization are in use at your organization?_3,"Completely custom (matplotlib, ggplot2, Processing, D3, custom code)",Organization Employee
What modes of data visualization are in use at your organization?_4,Hand-crafted in a graphics editor (Illustrator),Organization Employee
What modes of data visualization are in use at your organization?_5,Hand-crafted with pen &amp; paper or other physical means,Organization Employee
What modes of data visualization are in use at your organization?_6,Other: Excel,Organization Employee
Leadership in your organization has a strong understanding of the value of data visualization,"Categorical, values as string",Organization Employee
Data visualization at your organization features prominently in what parts of the organization?,Design,Organization Employee
Data visualization at your organization features prominently in what parts of the organization?_1,Engineering,Organization Employee
Data visualization at your organization features prominently in what parts of the organization?_2,Marketing,Organization Employee
Data visualization at your organization features prominently in what parts of the organization?_3,Research,Organization Employee
Data visualization at your organization features prominently in what parts of the organization?_4,IT,Organization Employee
Data visualization at your organization features prominently in what parts of the organization?_5,Leadership,Organization Employee
Data visualization at your organization features prominently in what parts of the organization?_6,Data Science/Analytics,Organization Employee
Data visualization at your organization features prominently in what parts of the organization?_7,Communications,Organization Employee
Data visualization at your organization features prominently in what parts of the organization?_8,Other: Operations,Organization Employee
How would you describe your relationship with stakeholders?,"Categorical, values as string",Organization Employee
Are you able to choose your own tools or are the choices made for you?,"Categorical, values as string",Organization Employee
"In your role within your organization, who do you make data visualizations for?",General Public,Organization Employee
"In your role within your organization, who do you make data visualizations for?_1",Analysts,Organization Employee
"In your role within your organization, who do you make data visualizations for?_2",Engineers,Organization Employee
"In your role within your organization, who do you make data visualizations for?_3",Scientists,Organization Employee
"In your role within your organization, who do you make data visualizations for?_4",Medical Professionals,Organization Employee
"In your role within your organization, who do you make data visualizations for?_5",Product or Project Managers,Organization Employee
"In your role within your organization, who do you make data visualizations for?_6",Policy Makers,Organization Employee
"In your role within your organization, who do you make data visualizations for?_7",Executives,Organization Employee
"In your role within your organization, who do you make data visualizations for?_8",Designers,Organization Employee
"In your role within your organization, who do you make data visualizations for?_9",Researchers,Organization Employee
"In your role within your organization, who do you make data visualizations for?_10",Students or Teachers,Organization Employee
"In your role within your organization, who do you make data visualizations for?_11",Only myself,Organization Employee
"In your role within your organization, who do you make data visualizations for?_12","Other, free text",Organization Employee
How many hours per week do you spend doing data visualization as a hobby or side project?,"Categorical, values as string",Hobbyist
"I work on uncompensated data visualization side projects in the hope of future professional benefit, such as building my public profile or developing a more impressive portfolio.","disagree-agree, 7 point scale",Hobbyist
I work on uncompensated data visualization side projects purely for my own personal enjoyment.,"disagree-agree, 7 point scale",Hobbyist
Are you a full time or part time student?,"Categorical, values as string",Student
What degree are you currently pursuing?,"Categorical, values as string",Student
Is data visualization formally taught within your degree program?,y/n,Student
What are you pursuing a degree in?,"Categorical, values as string",Student
In what academic area are you employed?,"Categorical, values as string",Teacher
Do you teach data visualization as a primary course topic?,y/n,Teacher
How do you use data visualization in your work?,Communication of research findings,Teacher
How do you use data visualization in your work?_1,Instructional purposes,Teacher
How do you use data visualization in your work?_2,As a topic of academic research,Teacher
How do you use data visualization in your work?_3,Other,Teacher
How many hours a week have you worked?,Fewer than 20 hours/week,All
Hours a week focused on creating/implementing/producing data visualizations?,"Categorical, values as string",All
Hours a week focused on data engineering?,numeric,All
Hours a week focused on data science?,numeric,All
Hours a week focused on design?,numeric,All
Hours a week focused on data prep work?,numeric,All
Hours a week focused on building your portfolio?,numeric,All
What technologies do you use to visualize data?,ArcGIS,All
What technologies do you use to visualize data?_1,Cytoscape,All
What technologies do you use to visualize data?_2,D3.js,All
What technologies do you use to visualize data?_3,Angular,All
What technologies do you use to visualize data?_4,Excel,All
What technologies do you use to visualize data?_5,ggplot2,All
What technologies do you use to visualize data?_6,Gephi,All
What technologies do you use to visualize data?_7,Highcharts,All
What technologies do you use to visualize data?_8,Illustrator,All
What technologies do you use to visualize data?_9,Java,All
What technologies do you use to visualize data?_10,Leaflet,All
What technologies do you use to visualize data?_11,Mapbox,All
What technologies do you use to visualize data?_12,kepler.gl,All
What technologies do you use to visualize data?_13,Microstrategy,All
What technologies do you use to visualize data?_14,Plotly,All
What technologies do you use to visualize data?_15,Power BI,All
What technologies do you use to visualize data?_16,Matplotlib,All
What technologies do you use to visualize data?_17,Python,All
What technologies do you use to visualize data?_18,QGIS,All
What technologies do you use to visualize data?_19,Qlik,All
What technologies do you use to visualize data?_20,R,All
What technologies do you use to visualize data?_21,React,All
What technologies do you use to visualize data?_22,Semiotic,All
What technologies do you use to visualize data?_23,Tableau,All
What technologies do you use to visualize data?_24,Vega,All
What technologies do you use to visualize data?_25,Vue,All
What technologies do you use to visualize data?_26,Web Components,All
What technologies do you use to visualize data?_27,WebGL,All
What technologies do you use to visualize data?_28,Pen &amp; Paper,All
What technologies do you use to visualize data?_29,Physical materials (other than pen and paper),All
What technologies do you use to visualize data?_30,Greensock,All
What technologies do you use to visualize data?_31,Canvas,All
What technologies do you use to visualize data?_32,P5/Processing,All
What technologies do you use to visualize data?_33,"Other, free text",All
How do you present your data visualizations?,Embedded in a tool,All
How do you present your data visualizations?_1,Dashboard,All
How do you present your data visualizations?_2,Scrollytelling,All
How do you present your data visualizations?_3,Static Web Page,All
How do you present your data visualizations?_4,Interactive Notebook,All
How do you present your data visualizations?_5,Documents or report,All
How do you present your data visualizations?_6,Presentations,All
How do you present your data visualizations?_7,Email,All
How do you present your data visualizations?_8,Newspaper or magazine,All
How do you present your data visualizations?_9,Peer reviewed journal publication,All
How do you present your data visualizations?_10,Physical handout or Printed on paper,All
How do you present your data visualizations?_11,Physical medium other than printed on paper,All
How do you present your data visualizations?_12,Augmented or Virtual reality,All
How do you present your data visualizations?_13,Installation,All
How do you present your data visualizations?_14,App,All
How do you present your data visualizations?_15,Video,All
How do you present your data visualizations?_16,"Other, free text",All
Which of these charts have you used in production in the last 6 months?,Line Chart,All
Which of these charts have you used in production in the last 6 months?_1,Bar Chart,All
Which of these charts have you used in production in the last 6 months?_2,Pie Chart,All
Which of these charts have you used in production in the last 6 months?_3,Scatterplot,All
Which of these charts have you used in production in the last 6 months?_4,Hexbin/Heatmap,All
Which of these charts have you used in production in the last 6 months?_5,Infographics,All
Which of these charts have you used in production in the last 6 months?_6,Pictorial Visualization,All
Which of these charts have you used in production in the last 6 months?_7,Treemap,All
Which of these charts have you used in production in the last 6 months?_8,Dendrogram,All
Which of these charts have you used in production in the last 6 months?_9,Network Diagram,All
Which of these charts have you used in production in the last 6 months?_10,Choropleth Map,All
Which of these charts have you used in production in the last 6 months?_11,Raster Map,All
Which of these charts have you used in production in the last 6 months?_12,"Flow Diagram (Sankey, DAGRE, Flow Chart)",All
Which of these charts have you used in production in the last 6 months?_13,3D Chart,All
Which of these charts have you used in production in the last 6 months?_14,VR/AR Chart,All
Which of these charts have you used in production in the last 6 months?_15,Bee Swarm Chart,All
Which of these charts have you used in production in the last 6 months?_16,Force-Directed Graph,All
Which of these charts have you used in production in the last 6 months?_17,Other: Donut Chart,All
What is the general level data literacy in the audience you produce visualizations for?,Low,All
What is the general level data literacy in the audience you produce visualizations for?_1,Moderate,All
What is the general level data literacy in the audience you produce visualizations for?_2,Expert,All
What is your yearly pay (converted to US dollars)?,"Categorical, values as string",All
What is your hourly rate (converted to US dollars)?,"Categorical, values as string",All
"Do you have access to professional development funds or grants to pay for professional costs such as conference registrations, memberships, software and/or training?",y/n,All
How much is your annual professional development fund in US dollars?,numeric,All
Which of the following would you be likely to use professional development funds on?,Conference registration,All
Which of the following would you be likely to use professional development funds on?_1,Conference travel and lodging,All
Which of the following would you be likely to use professional development funds on?_2,Data visualization software licenses,All
Which of the following would you be likely to use professional development funds on?_3,Workshops or training seminars,All
Which of the following would you be likely to use professional development funds on?_4,Professional association memberships,All
Which of the following would you be likely to use professional development funds on?_5,Professional books,All
Which of the following would you be likely to use professional development funds on?_6,Tuition for graduate coursework,All
Which of the following would you be likely to use professional development funds on?_7,Data licensing,All
Which of the following would you be likely to use professional development funds on?_8,"Other, free text",All
I have adequate resources to explore the data visualization options I want to use.,"disagree-agree, 7 point scale",All
What are your biggest frustrations with doing data visualization in your job?,Lack of time,All
What are your biggest frustrations with doing data visualization in your job?_1,Lack of design expertise,All
What are your biggest frustrations with doing data visualization in your job?_2,Lack of technical skill,All
What are your biggest frustrations with doing data visualization in your job?_3,Learning new tools/Approaches,All
What are your biggest frustrations with doing data visualization in your job?_4,Accessing data,All
What are your biggest frustrations with doing data visualization in your job?_5,Information overload,All
What are your biggest frustrations with doing data visualization in your job?_6,Lack of Collaboration/Mentorship/Advice,All
What are your biggest frustrations with doing data visualization in your job?_7,Low Data Literacy Among Stakeholders/Audience,All
What are your biggest frustrations with doing data visualization in your job?_8,Not enough respect for data visualization among leadership/audience,All
What are your biggest frustrations with doing data visualization in your job?_9,Technical limitations of the tools,All
What are your biggest frustrations with doing data visualization in your job?_10,Too much effort spent on non-viz activity,All
What are your biggest frustrations with doing data visualization in your job?_11,Data volume,All
What are your biggest frustrations with doing data visualization in your job?_12,"Other, free text",All
If you could change one thing about your data visualization work what would it be?,More Training/ more skills,All
What do you think other people in your organization just don't get about the data visualization work that you do?,Free text field,All
Have you changed employment or had a change in employment status in the last year?,y/n,All
Was the current coronavirus pandemic and related economic crisis a factor in your change in employment or employment status?,y/n,All
Are you currently looking for new employment opportunities?,y/n,All
"In your next role, would you like:","Categorical, values as string",All
What are the three most important issues facing data visualization?,Lack of awareness of the impact of data viz,All
What are the three most important issues facing data visualization?_1,Data visualization not having a eat at the table,All
What are the three most important issues facing data visualization?_2,Diversity in tech,All
What are the three most important issues facing data visualization?_3,Income inequality,All
What are the three most important issues facing data visualization?_4,Lack of data visualization literacy,All
What are the three most important issues facing data visualization?_5,Designing for disabilities,All
What are the three most important issues facing data visualization?_6,Lack of access to education,All
What are the three most important issues facing data visualization?_7,Algorithmic bias,All
What are the three most important issues facing data visualization?_8,Lack of ethical standards for visualizing data,All
What are the three most important issues facing data visualization?_9,Lack of software literacy,All
What area is your next priority for improving your data visualization skills?,Learning a new technical tool or library,All
What area is your next priority for improving your data visualization skills?_1,Improving my skills with an existing technical tool or library,All
What area is your next priority for improving your data visualization skills?_2,Improving my design skills,All
What area is your next priority for improving your data visualization skills?_3,Improving my data skills,All
What area is your next priority for improving your data visualization skills?_4,I don't feel I need to improve my data visualization skills currently,All
What area is your next priority for improving your data visualization skills?_5,"Other, free text",All
What methods do you find most helpful in learning new data visualization skills?,Books,All
What methods do you find most helpful in learning new data visualization skills?_1,Workshops,All
What methods do you find most helpful in learning new data visualization skills?_2,Examples,All
What methods do you find most helpful in learning new data visualization skills?_3,Video Tutorials,All
What methods do you find most helpful in learning new data visualization skills?_4,Collaboration with more skilled practitioners,All
What methods do you find most helpful in learning new data visualization skills?_5,Working through a project,All
What methods do you find most helpful in learning new data visualization skills?_6,Mentoring/Teaching others,All
What methods do you find most helpful in learning new data visualization skills?_7,"Other, free text",All
Who do you look to as a leader in data visualization?,Free text field,All
gender_collapsed,"Categorical, values as string",All


EVENT_ID,MENU_HINT,EVENT_NAME,EVENT_DT,SELECTION_ID,SELECTION_NAME,WIN_LOSE,BSP,PPWAP,MORNINGWAP,PPMAX,PPMIN,IPMAX,IPMIN,MORNINGTRADEDVOL,PPTRADEDVOL,IPTRADEDVOL
121659183,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:31,10072489,If I Win Thelotto,0,,7.79077490774907749077490774907749077491,7.79077490774907749077490774907749077491,1,1001,1,1001,5.42,5.42,0
121659185,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:57,10171712,Luck Othe English,0,,1.74939682539682539682539682539682539683,1.74939682539682539682539682539682539683,1,1001,1,1001,163.8,163.8,0
121659187,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 01:30,10072482,Gianna Bella,1,,1.68333333333333333333333333333333333333,1.68333333333333333333333333333333333333,1,1001,1,1001,.36,.36,0
121685019,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:50,10007291,Miss Thursday,0,,3.81147058823529411764705882352941176471,1,1,1001,1,1001,0,13.6,0
121685019,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:50,10233424,Saratoga Smoke,0,,2.37323966130813596760338691864032396613,1,1,1001,1,1001,0,162.98,0
121685019,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:50,10424067,Theresas Candyrose,1,,1.68945375942045919261552842203657182918,1,1.66,1.66,1,1001,0,342.34,0
121685009,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 17:20,10108602,Greek Life,0,,1.4768900877124893270201040130404408911,1,1,1001,1,1001,0,515.32,0
121685013,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 18:20,10081096,Natalie Victoria,0,,2.72295064753237661883094154707735386769,1,1,1001,1,1001,0,114.28,0
121685017,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:20,10005355,Best Play,0,,3.79376787416587225929456625357483317445,1,1,1001,1,1001,0,83.92,0
121685021,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:20,5791120,Acapella,0,,1.31767209703118394953337885734725067473,1,1.4,1.23,1,1001,0,3075.3,0
121685021,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:20,10454960,Shift Change,0,,5.91820877817319098457888493475682087782,1,1,1001,1,1001,0,33.72,0
121685021,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:20,10497598,Ditch Em,0,,6.4,1,1,1001,1,1001,0,7.3,0
121685025,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 21:20,10454953,Grey En Blue,0,,12.7622950819672131147540983606557377049,1,1,1001,1,1001,0,21.96,0
121685025,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 21:20,10205454,Eloquent Ethel,0,,9.53071297989031078610603290676416819013,1,1,1001,1,1001,0,43.76,0
121685025,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 21:20,10268136,Eloweasel,1,,2.63385870732231050032209576980888984325,1,1,1001,1,1001,0,93.14,0
121685030,USA / DeltaD (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10116231,Line Running Lass,0,,3.00733530717986676535899333826794966691,1,1,1001,1,1001,0,108.08,0
121685030,USA / DeltaD (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10497618,Dovish,0,,5.13314606741573033707865168539325842697,1,1,1001,1,1001,0,10.68,0
121685069,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 17:15,10080817,Chasing Blue,1,,1.74038865311592584319857047129774402502,1,1,1001,1,1001,0,89.54,0
121685075,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 18:36,10154444,Officer Mahaffy,1,,1.88131235097758702908917501192179303767,1,1,1001,1,1001,0,209.7,0
121685079,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:30,10078018,Amandas Storm,0,,3.01863192182410423452768729641693811075,1,1,1001,1,1001,0,12.28,0
121685081,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:57,10084178,Wise Awake,1,,2.48591922005571030640668523676880222841,1,1,1001,1,1001,0,86.16,0
121685083,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 20:24,9924301,Pioneer Of Wifi,0,,4,1,1,1001,1,1001,0,22.58,0
121685083,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 20:24,9978498,Yakov,1,,1.36509891271519178495922681969193597101,1,1,1001,1,1001,0,529.76,0
121685083,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 20:24,10072834,Worbothor,0,,1.64659435736677115987460815047021943574,1,1,1001,1,1001,0,319,0
121685092,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:54,10175526,King Minos,0,,1.63319717449527777342709915892680940373,1,1.63,1.63,1,1001,0,1276.94,0
121685088,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:00,10268342,Talkaholic,1,,3.83685882886972310485701316386745347254,1,1,1001,1,1001,0,44.06,0
121685088,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:00,10497832,So Saucy,0,,1.62011335794503386880411525371115619561,1,1.63,1.58,1,1001,0,3608.04,0
121685090,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:27,10497834,Bucanero,0,,9.99156406748746010031919744642042863657,1,1,1001,1,1001,0,43.86,0
121685103,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:00,10066887,Leombruno,0,,2.25551885907299680990805029086132482642,1,1,1001,1,1001,0,106.58,0
121685103,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:00,10084125,Mr Grumpy,1,,4.6,1,1,1001,1,1001,0,8,0
121685107,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:55,10409232,Runaway Pepper,1,,1.32786069239688587046546297830048037105,1,1,1001,1,1001,0,241.48,0
121685109,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:24,10228251,Best Barter,0,,2.52760951188986232790988735919899874844,1,1,1001,1,1001,0,15.98,0
121685109,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:24,10497844,Lady Forester,0,,11.875,1,1,1001,1,1001,0,26.4,0
121685117,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:26,10103633,Sparkles Girl,1,,1.20294557475109204675140687104010074377,1,1,1001,1,1001,0,508.22,0
121685117,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:26,10159975,Generous Touch,0,,2.5107097232079488999290276792051100071,1,1,1001,1,1001,0,112.72,0
121685127,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 20:40,9991005,Schindlers Risk,0,,9.2,1,9.2,9.2,1,1001,0,457.38,0
121685131,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:40,10059476,All American Man,1,,4.64942801339285714285714285714285714286,1,1,1001,1,1001,0,71.68,0
121685131,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:40,10106394,Road Hills,0,,13.717701641684511063526052819414703783,1,1,1001,1,1001,0,28.02,0
121685133,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 22:10,9552081,Smiling Gambler,1,,1.82496475934004514869308324925417552825,1,1.99,1.7,1,1001,0,2755.34,0
121685135,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 22:40,10462430,Temily,0,,3.76582918606517900144485471183175469578,1,1,1001,1,1001,0,124.58,0
121685137,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:10,10119564,Three Tootsies,1,,1.32586307004686306488573257086232168294,1,1.4,1.29,1,1001,0,7750.24,0
121659183,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:31,10088469,Peb Hughes,0,,1.53786763365273585479002491744829123027,1.53786763365273585479002491744829123027,1.59,1.58,1,1001,987.26,987.26,0
121659195,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 03:25,6345811,Risk It,1,,1.4,1.4,1,1001,1,1001,13.14,13.14,0
121659181,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:05,10097424,Gomedaldee,0,,3.17232250300842358604091456077015643803,3.17232250300842358604091456077015643803,1,1001,1,1001,66.48,66.48,0
121659185,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:57,10493328,King Lufty,0,,5,5,1,1001,1,1001,6,6,0
121659187,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 01:30,10134115,Way Ahead Of You,1,,2.19813953488372093023255813953488372093,2.19813953488372093023255813953488372093,1,1001,1,1001,11.18,11.18,0
121659187,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 01:30,10201062,Tribal Heat,0,,2.12189054726368159203980099502487562189,2.12189054726368159203980099502487562189,1,1001,1,1001,4.02,4.02,0
121659189,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 01:56,10228174,Templars Cross,1,,2.62074614760746147607461476074614760746,2.62074614760746147607461476074614760746,1,1001,1,1001,24.66,24.66,0
121659191,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 02:21,10119620,Tuftikus,1,,7.69038095238095238095238095238095238095,7.69038095238095238095238095238095238095,1,1001,1,1001,42,42,0
121659193,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 02:57,10134724,Long Kiss Goodbye,0,,2.08,2.08,1,1001,1,1001,35.28,35.28,0
121685019,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:50,10092631,Arctic Ocean,0,,3.5802495543672014260249554367201426025,1,1,1001,1,1001,0,44.88,0
121685011,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 17:50,10138027,Lilikoi,1,,1.86264687969466888627228064476836249949,1,1,1001,1,1001,0,492.58,0
121685011,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 17:50,10449625,Sachopia,0,,8,1,1,1001,1,1001,0,7.72,0
121685011,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 17:50,10497594,Beating Heart Baby,1,,1.25113988480600080367906416037862213689,1,1,1001,1,1001,0,447.94,0
121685013,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 18:20,10078296,Theophilia,1,,1.52948877570269760422561780796076212035,1,1,1001,1,1001,0,212.04,0
121685021,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:20,10160463,Taken By Surprise,1,,2.33801866475233309404163675520459440057,1,1,1001,1,1001,0,55.72,0
121685023,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:50,9546391,Ganador,0,,21.3,1,1,1001,1,1001,0,10,0
121685023,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:50,10005363,Star Of New York,0,,2.35884034582132564841498559077809798271,1,1,1001,1,1001,0,173.5,0
121685025,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 21:20,8406493,Subtle Lady,1,,7.2584,1,1,1001,1,1001,0,10,0
121685025,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 21:20,10268137,Bea Bea,0,,1.61748295190831518440501267449748295191,1,1.66,1.66,1,1001,0,1120.36,0
121685069,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 17:15,10059949,Doublicious,0,,1.82219384413883431565160445317616240995,1,1,1001,1,1001,0,244.32,0
121685077,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:03,10223823,Fingerpainter,1,,4.23733333333333333333333333333333333333,1,1,1001,1,1001,0,30,0
121685081,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:57,9978906,Miss Dragon Lady,0,,6.2,1,1,1001,1,1001,0,7.7,0
121685092,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:54,10497837,Monba Jamba,0,,8.80065789473684210526315789473684210526,1,1,1001,1,1001,0,48.64,0
121685088,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:00,10237872,Special Dividend,1,,1.72590629051010998703676480414823526267,1,1.94,1.63,1,1001,0,2993.08,0
121685090,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:27,5288591,Shazam,1,,1.6190804035360010796949861664079897429,1,1.72,1.72,1,1001,0,1185.52,0
121685090,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:27,10497836,Sully Man,0,,10.5008064516129032258064516129032258065,1,1,1001,1,1001,0,14.88,0
121685107,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:55,1152719,Best Offer,0,,13.0299401197604790419161676646706586826,1,1,1001,1,1001,0,30.06,0
121685109,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:24,9993031,Marcherdowntheally,0,,2.43255118981737686773657996679579413392,1,1,1001,1,1001,0,108.42,0
121685109,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:24,10310113,Timberline,0,,5.87846385542168674698795180722891566265,1,1,1001,1,1001,0,13.28,0
121685109,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:24,10497845,Amies Angel,0,,9.8,1,1,1001,1,1001,0,4,0
121685111,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:57,10108680,The Mink Mile,0,,4.07783952761375477596387634595345606113,1,1,1001,1,1001,0,57.58,0
121685113,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:26,2489789,Red Wings,0,,3.11707278975320212433614495470165573258,1,1,1001,1,1001,0,64.02,0
121685113,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:26,10066909,Coastal Moon,0,,1.93,1,1,1001,1,1001,0,40.54,0
121685115,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:55,10088522,Strawberry Scarlet,0,,1.98662794502617801047120418848167539267,1,1,1001,1,1001,0,122.24,0
121685115,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:55,10088526,Big Brown Brookski,0,,2.35060367454068241469816272965879265092,1,1,1001,1,1001,0,76.2,0
121685119,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:57,10371740,Rob The Cradle,0,,6.31768842012744451768842012744451768842,1,1,1001,1,1001,0,91.02,0
121685131,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:40,9991516,Turbo Pup,0,,15.25,1,1,1001,1,1001,0,8,0
121685137,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:10,10497809,Razamajazil,0,,1.9194471663049552300874605258028044549,1,2.18,1.76,1,1001,0,1538.98,0
121685139,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,9552109,Stanleys Friend,0,,2.06343210586881472957422324510932105869,1,1,1001,1,1001,0,69.52,0
121685129,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:10,10096830,Puntsville,1,,1.17134261555741808209180735393895854358,1,1.22,1.15,1,1001,0,3507.78,0
121685129,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:10,10059452,Distant Mesa,0,,6.3839877123932034174906402995104156667,1,7,7,1,1001,0,208.34,0
121685129,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:10,10096811,Leisurely Renny,0,,5.7278775079197465681098204857444561774,1,1,1001,1,1001,0,18.94,0
121659183,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:31,10493327,Battery Backup,0,,6.8432,6.8432,1,1001,1,1001,70,70,0
121659185,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:57,9991050,May Mays Cat,0,,6.49926547743966421825813221406086044071,6.49926547743966421825813221406086044071,1,1001,1,1001,57.18,57.18,0
121659185,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:57,10096978,Our Boy K C,1,,1.92196008770712481612034749784895500847,1.92196008770712481612034749784895500847,1.89,1.89,1,1001,720.58,720.58,0
121685015,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 18:50,9978533,Violet Road,0,,3.71126760563380281690140845070422535211,1,1,1001,1,1001,0,28.4,0
121685015,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 18:50,10119920,Belpiana,0,,3.53082262210796915167095115681233933162,1,1,1001,1,1001,0,38.9,0
121685015,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 18:50,10382139,One More Song,0,,12.7365106721463608643775686066551769853,1,13.5,12,1,1001,0,150.86,0
121685009,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 17:20,10137930,Da Wildcat Girl,1,,2.99277401894451962110960757780784844384,1,1,1001,1,1001,0,29.56,0
121685011,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 17:50,9550383,Paw Annie,0,,3.00832020575470181642822697315544124739,1,1,1001,1,1001,0,124.42,0
121685013,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 18:20,9969395,Guayana,0,,2.90878125,1,1,1001,1,1001,0,25.6,0
121685013,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 18:20,10097173,Uncle Southern,0,,4.5,1,1,1001,1,1001,0,4,0
121685025,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 21:20,10366920,Peters Valentine,0,,13.9962488967343336275375110326566637246,1,15,15,1,1001,0,45.32,0
121685025,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 21:20,5669542,Ladys First,1,,1.81796572972060437241495737317464336963,1,1,1001,1,1001,0,236.94,0
121685030,USA / DeltaD (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10497620,Unjust Verdict,0,,6.30157728706624605678233438485804416404,1,1,1001,1,1001,0,12.68,0
121685071,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 17:42,10078146,Im A Good Looker,1,,1.35144395096820039083318529046011724996,1,1.34,1.34,1,1001,0,562.9,0
121685071,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 17:42,10244080,Beautiful Risk,1,,1.51446608174620158356516156644553819816,1,1,1001,1,1001,0,280.38,0
121685073,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 18:09,9556503,Brooklyn Red,0,,7,1,1,1001,1,1001,0,2,0
121685073,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 18:09,9924309,Bob E,0,,2.71586991869918699186991869918699186992,1,1,1001,1,1001,0,147.6,0
121685075,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 18:36,10108297,Sals Dream,0,,2.72196666666666666666666666666666666667,1,1,1001,1,1001,0,24,0
121685077,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:03,10201229,Crazy Love,1,,1.79629798641237619710239829745436686584,1,1,1001,1,1001,0,977.36,0
121685077,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:03,10320053,Roaring Vixen,0,,13.0797546012269938650306748466257668712,1,1,1001,1,1001,0,16.3,0
121685077,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:03,10320054,Pachamama,0,,2.560627371616493802175562863647862383,1,1,1001,1,1001,0,79.06,0
121685077,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:03,10416015,Meckes Madalyn,1,,1.81561863656485170429393536963258078796,1,1,1001,1,1001,0,180.72,0
121685081,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:57,10028603,Resisting Arrest,0,,4.72222222222222222222222222222222222222,1,4.7,4.7,1,1001,0,108,0
121685083,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 20:24,10039983,Hammerhead,0,,13,1,1,1001,1,1001,0,7.7,0
121685085,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 20:51,2372198,Group Therapy,1,,1.52321968377794803928397297485547119872,1,1,1001,1,1001,0,574.28,0
121685085,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 20:51,10072852,Berkshire Hills,1,,1.1720742494639027877055039313795568263,1,1.21,1.21,1,1001,0,1343.04,0
121685092,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:54,10243899,Grantson,1,,3.30370060281312793034159410582719356999,1,1,1001,1,1001,0,59.72,0
121685088,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:00,10237869,Desert Jewel,0,,4.61109984152139461172741679873217115689,1,1,1001,1,1001,0,126.2,0
121685090,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:27,10111832,Durendal,1,,1.96280169100691775557263643351268255188,1,1,1001,1,1001,0,104.08,0
121685090,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:27,10163500,Osip,0,,5.56792452830188679245283018867924528302,1,1,1001,1,1001,0,7.42,0
121685103,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:00,10077558,Data Based,0,,4.06258187772925764192139737991266375546,1,1,1001,1,1001,0,36.64,0
121685105,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:27,10072228,Sugah Sweet,0,,2.34586808745177291934594892522505970972,1,1,1001,1,1001,0,108.86,0
121685105,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:27,10078457,Awfully Sinful,1,,1.39451585394216605938444840685324443755,1,1,1001,1,1001,0,515.96,0
121685109,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:24,9969642,Molinaro Deputy,0,,5.52908863920099875156054931335830212235,1,1,1001,1,1001,0,16.02,0
121685111,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:57,10262942,Kates Whistle,0,,1.57777853725222146274777853725222146275,1,1,1001,1,1001,0,29.26,0
121685111,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:57,10406613,Madison Way,1,,4.59208103130755064456721915285451197053,1,1,1001,1,1001,0,21.72,0
121685119,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:57,337323,Imperial Dream,1,,1.75596610702218497079546347468503627649,1,1.71,1.71,1,1001,0,2290.74,0
121685125,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 20:10,10018346,Donnas Fly Girl,0,,5.11747627024008933556672250139586823004,1,1,1001,1,1001,0,35.82,0
121685131,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:40,10005176,Running On Ethel,0,,4.61722053202277868788517045011311334737,1,5,5,1,1001,0,256.38,0
121685131,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:40,10059417,Jimmy By A Nose,0,,14.66,1,1,1001,1,1001,0,8,0
121685135,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 22:40,9992756,Daddys Baby Girl,1,,7.15856353591160220994475138121546961326,1,1,1001,1,1001,0,54.3,0
121685137,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:10,10072107,Kissn Rosie,0,,5.53959076849869141089697834879847727813,1,1,1001,1,1001,0,84.06,0
121685137,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:10,10096829,Agile Wonder,0,,5.65715617715617715617715617715617715618,1,1,1001,1,1001,0,8.58,0
121685137,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:10,10248970,Best Kiss Yet,0,,3.57422861482958321465869173075097313206,1,1,1001,1,1001,0,210.66,0
121685139,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10149942,Sacred Range,0,,3.94025375858173285826018944990006083254,1,1,1001,1,1001,0,230.14,0
121685129,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:10,10096810,Keeker,0,,5.21129871202113606340819022457067371202,1,6,5.7,1,1001,0,242.24,0
121659183,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:31,3439343,Island Sunset,1,,1.69492818439838307387976262148447578911,1.69492818439838307387976262148447578911,1,1001,1,1001,232.54,232.54,0
121659183,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:31,8223556,Bomber,1,,2.92989507620164126611957796014067995311,2.92989507620164126611957796014067995311,2.96,2.96,1,1001,682.4,682.4,0
121659181,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:05,10072433,Sidebysidedelcoco,1,,2.30531835205992509363295880149812734082,2.30531835205992509363295880149812734082,1,1001,1,1001,53.4,53.4,0
121659185,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:57,10059590,Buddys Greenstone,0,,6.25044344173020071573051190290960012447,6.25044344173020071573051190290960012447,1,1001,1,1001,128.54,128.54,0
121659189,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 01:56,10362860,Winsome Gold,0,,2.70442942050520059435364041604754829123,2.70442942050520059435364041604754829123,1,1001,1,1001,134.6,134.6,0
121659189,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 01:56,10493329,Castle Bound,1,,1.49521304153640017865118356409111210362,1.49521304153640017865118356409111210362,1,1001,1,1001,223.9,223.9,0
121659191,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 02:21,10175354,Like A Diva,0,,4.6,4.6,1,1001,1,1001,6,6,0
121685015,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 18:50,413988,Break Away,0,,2.14119440768655428341292215637765375985,1,1,1001,1,1001,0,347.62,0
121685015,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 18:50,9546385,Mattys Wondergirl,1,,2.92163265306122448979591836734693877551,1,1,1001,1,1001,0,19.6,0
121685013,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 18:20,10103336,Sustainable,1,,1.99054249547920433996383363471971066908,1,1,1001,1,1001,0,110.6,0
121685021,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:20,10497599,Super Allison,0,,1.96549102428722280887011615628299894403,1,1,1001,1,1001,0,56.82,0
121685023,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:50,5826524,Chapman,0,,3.85,1,1,1001,1,1001,0,3.52,0
121685069,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 17:15,9556493,Malibu Ice,0,,1.56576230492196878751500600240096038415,1,1,1001,1,1001,0,183.26,0
121685069,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 17:15,10059762,Zongs Song,1,,3.45,1,1,1001,1,1001,0,7.7,0
121685073,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 18:09,10165592,Bulldog On A Bone,1,,1.57245228846478635365647694646174632663,1,1,1001,1,1001,0,355.26,0
121685073,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 18:09,10429308,Term Loan,1,,1.52614102318451810691703391454301590343,1,1,1001,1,1001,0,313.14,0
121685075,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 18:36,9990867,Bustin Buttons,0,,3.9,1,1,1001,1,1001,0,10,0
121685079,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:30,2489760,Me Me Me,0,,2.7069296875,1,1,1001,1,1001,0,51.2,0
121685079,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:30,10449633,Sunny Osullivan,0,,3,1,1,1001,1,1001,0,5.3,0
121685079,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:30,10497799,Frosty Millions,1,,2.20637181900008182636445462728090990917,1,1,1001,1,1001,0,244.42,0
121685085,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 20:51,10006128,Sweet Hot Toddy,0,,4.68391587677725118483412322274881516588,1,1,1001,1,1001,0,67.52,0
121685092,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:54,10116044,Danny My Boy,0,,1.61294465474841811500096709126578431102,1,1,1001,1,1001,0,723.82,0
121685092,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:54,10300959,Joes Arch,0,,6.67327327327327327327327327327327327327,1,1,1001,1,1001,0,6.66,0
121685092,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:54,10384387,Willful Warrior,0,,9.67923627684964200477326968973747016706,1,1,1001,1,1001,0,8.38,0
121685090,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:27,10336520,Dont Be Coy,0,,3.65848765432098765432098765432098765432,1,1,1001,1,1001,0,90.72,0
121685107,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:55,10074290,Bathsheba Station,0,,2.7711196267910696434521826057980673109,1,2.66,2.66,1,1001,0,300.1,0
121685105,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:27,159493,Believe You Me,0,,8.39525065963060686015831134564643799472,1,1,1001,1,1001,0,7.58,0
121685105,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:27,10103635,Its The Rush,1,,1.88321940572449030209831836896671461878,1,1,1001,1,1001,0,403.18,0
121685109,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:24,10078506,Gold To Glory,1,,1.7076431553034357272824574547789789147,1,1,1001,1,1001,0,186.86,0
121685111,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:57,10186057,La Soul,0,,1.61730730296456977584960231381055676067,1,1,1001,1,1001,0,138.3,0
121685111,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:57,10455183,Alices War,0,,3.17590959206174200661521499448732083793,1,1,1001,1,1001,0,90.7,0
121685119,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:57,2627678,Sundowner,1,,2.47223959870168191206845677190911773384,1,1,1001,1,1001,0,135.56,0
121685119,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:57,10066891,Ezzthetic,0,,2.25562033280413947198212500734991474099,1,2.2,2.2,1,1001,0,1360.56,0
121685119,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:57,10084105,Saratoga Boy,0,,10.2987584345479082321187584345479082321,1,10.5,10.5,1,1001,0,74.1,0
121685127,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 20:40,10248961,Ogees Ekati,0,,2.939462734801050292870127247020803878,1,1,1001,1,1001,0,297.06,0
121685131,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:40,10237753,Clearly See,0,,2.00423926837620611163708881413290897005,1,2,1.96,1,1001,0,992.86,0
121685131,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:40,10398157,Handsome Sean,0,,5.44019008825526137135098438560760353021,1,1,1001,1,1001,0,58.92,0
121685135,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 22:40,10106377,Francis Leal,0,,48,1,1,1001,1,1001,0,4,0
121685137,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:10,10005195,Realta Ean,1,,13.6219931271477663230240549828178694158,1,1,1001,1,1001,0,5.82,0
121685139,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10066289,Ask Simon,1,,1.45351348976184198963002021267246682485,1,1.43,1.43,1,1001,0,2275.8,0
121685129,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:10,9552076,Canette,1,,1.84650829694323144104803493449781659389,1,1,1001,1,1001,0,229,0
121659183,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:31,9992180,Corporate Measure,1,,2.2788,2.2788,1,1001,1,1001,100,100,0
121659181,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:05,10073405,Enduring,1,,2.80077607241243604879968516332152695789,2.80077607241243604879968516332152695789,2.8,2.8,1,1001,254.1,254.1,0
121659185,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:57,10077899,Sterlings Mr. Abel,0,,1.30780845984432003496914981254518249525,1.30780845984432003496914981254518249525,1.35,1.27,1,1001,2379.24,2379.24,0
121659191,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 02:21,10084427,Athena In Flight,0,,2.46,2.46,1,1001,1,1001,108,108,0
121659191,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 02:21,10119859,Doubleblackdiamond,0,,2.54,2.54,1,1001,1,1001,11.44,11.44,0
121685015,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 18:50,451103,Tante Zoe,0,,2.00459330599790216458472394393058071899,1,1,1001,1,1001,0,209.74,0
121685019,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:50,9990862,Lifes A Stage,0,,3.10568157269388636854612227262907755455,1,1,1001,1,1001,0,92.58,0
121685019,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:50,10066492,Funky Munky Fever,0,,12.5923648648648648648648648648648648649,1,1,1001,1,1001,0,11.84,0
121685011,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 17:50,9552208,Lil Renegade,0,,2.62577874422397390595270453927697743952,1,1,1001,1,1001,0,73.58,0
121685017,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:20,15059,Charitable,0,,6.2,1,1,1001,1,1001,0,.56,0
121685017,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:20,5479465,First Bid,0,,2.09590511860174781523096129837702871411,1,1,1001,1,1001,0,32.04,0
121685017,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:20,10103110,Cosmic Coincidence,1,,1.40867622140638237785936176221406382378,1,1,1001,1,1001,0,283.28,0
121685021,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:20,266930,Rock Garden,1,,2.68397093881257804518106482007038256329,1,1,1001,1,1001,0,176.18,0
121685023,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:50,10180610,Bug Juice,0,,2.28625415834996673320026613439787092482,1,1,1001,1,1001,0,150.3,0
121685030,USA / DeltaD (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10097413,Emma Peele,1,,1.43538434507599051216726697707107089519,1,1,1001,1,1001,0,682.98,0
121685071,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 17:42,9978898,Coweta,0,,4.34532279314888010540184453227931488801,1,1,1001,1,1001,0,15.18,0
121685073,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 18:09,10119759,Indy Tune,0,,1.17896746817538896746817538896746817539,1,1,1001,1,1001,0,593.88,0
121685081,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:57,10084058,Stormin Margaret,0,,3.82785714285714285714285714285714285714,1,1,1001,1,1001,0,14,0
121685081,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:57,10205282,Just Like Boo,0,,13.25,1,1,1001,1,1001,0,8,0
121685083,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 20:24,10119896,Louies Luck,1,,3.04641499472016895459345300950369588173,1,1,1001,1,1001,0,75.76,0
121685088,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:00,10497833,So Striking,0,,3.46323728050427735254389914452949122017,1,1,1001,1,1001,0,44.42,0
121685090,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:27,10185454,Imtoohottohandle,0,,1.71039345578640971594901134196527150457,1,1.7,1.67,1,1001,0,1793.34,0
121685090,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:27,10497835,Shake D Bone,1,,1.73082534278959810874704491725768321513,1,1.68,1.64,1,1001,0,1057.5,0
121685107,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:55,10159961,Trader Dom,0,,4.71936936936936936936936936936936936937,1,1,1001,1,1001,0,22.2,0
121685109,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:24,9158205,Princess Royal,1,,1.60219423751527334358125418785227227937,1,1,1001,1,1001,0,507.42,0
121685109,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:24,10135261,Black Ace On Top,0,,23,1,23,23,1,1001,0,12.94,0
121685109,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:24,10325095,Deputy Wanda,0,,21,1,1,1001,1,1001,0,4,0
121685113,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:26,10155027,Brewcrest,1,,4.14877740303541315345699831365935919056,1,1,1001,1,1001,0,23.72,0
121685115,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:55,10051379,Rejoiceful,0,,3.15,1,1,1001,1,1001,0,8,0
121685115,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:55,10051381,Generous Consort,0,,2.24,1,1,1001,1,1001,0,28.58,0
121685115,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:55,10060005,Holy Heartly,0,,3.4,1,1,1001,1,1001,0,16,0
121685119,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:57,6543920,Red Shot,0,,8.51986301369863013698630136986301369863,1,1,1001,1,1001,0,35.04,0
121685119,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:57,10088517,Ruvee,0,,7.06314769975786924939467312348668280872,1,1,1001,1,1001,0,82.6,0
121685117,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:26,10292332,Frosty Vixen,0,,2.9735218508997429305912596401028277635,1,1,1001,1,1001,0,23.34,0
121685125,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 20:10,9990749,Dani Nikki,1,,2.54257648953301127214170692431561996779,1,1,1001,1,1001,0,161.46,0
121685131,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:40,10040026,Thisbabysaruler,1,,1.30869174074672700824309035073541296266,1,1.39,1.23,1,1001,0,6187,0
121685131,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:40,10096927,Kon Rasy,0,,9.21260387811634349030470914127423822715,1,1,1001,1,1001,0,28.88,0
121685131,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:40,10106387,Kennedys Cadet,0,,3.5243565932608118864420270628814009021,1,1,1001,1,1001,0,75.38,0
121685135,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 22:40,10065332,Kodiaks Pride,1,,1.46663733145855826449393627438672257514,1,1.5,1.45,1,1001,0,3186.16,0
121685135,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 22:40,9552099,Lilly Kisses,0,,11.3121783876500857632933104631217838765,1,1,1001,1,1001,0,23.32,0
121685135,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 22:40,9990747,Praise The Kitten,0,,2.30800501357844161270106538541884269898,1,1,1001,1,1001,0,287.22,0
121685137,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:10,10102676,Devil Alert,0,,8,1,1,1001,1,1001,0,30,0
121685139,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10072098,Bank Account,1,,1.77215243061268398871071848936250996671,1,1.8,1.79,1,1001,0,1580.26,0
121685139,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10084194,Even Fever,1,,1.99959302325581395348837209302325581395,1,1,1001,1,1001,0,20.64,0
121685129,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:10,9552074,Karla With A K,1,,1.57547075927912798743605293029186297834,1,1.56,1.56,1,1001,0,1286.22,0
121659181,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:05,9978671,San Gennaro,1,,1.26953380197036611179345127655682441791,1.26953380197036611179345127655682441791,1.33,1.33,1,1001,765.34,765.34,0
121659185,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:57,10258828,Sandsfoot Castle,1,,2.47993801023000575861251312624911080248,2.47993801023000575861251312624911080248,3.05,2.16,1,1001,590.42,590.42,0
121659187,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 01:30,233564,Glory Girl,0,,2.13760831889081455805892547660311958406,2.13760831889081455805892547660311958406,1,1001,1,1001,23.08,23.08,0
121659187,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 01:30,10445505,Shes So Carolina,0,,3.25669821623589370222060429559519475792,3.25669821623589370222060429559519475792,1,1001,1,1001,54.94,54.94,0
121659187,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 01:30,10445512,T Rex Express,0,,1.61396413199426111908177905308464849354,1.61396413199426111908177905308464849354,1.67,1.52,1,1001,557.6,557.6,0
121659191,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 02:21,9978629,Tsunami Rising,0,,3.9,3.9,1,1001,1,1001,4.7,4.7,0
121659191,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 02:21,10149968,Canaryinacoalmine,1,,1.80391761058026956906916408276909447573,1.80391761058026956906916408276909447573,1.71,1.71,1,1001,316.06,316.06,0
121685015,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 18:50,10119921,Written In Stars,0,,5.3,1,1,1001,1,1001,0,6,0
121685015,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 18:50,10497596,Tybalts Queen,1,,2.29005412875734193251180467580329379247,1,1,1001,1,1001,0,347.32,0
121685019,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:50,10066499,Race And Shine,1,,4.77,1,1,1001,1,1001,0,4,0
121685009,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 17:20,10424061,My Donna Jean,0,,2.99344403916298713764638126319831061624,1,1,1001,1,1001,0,104.18,0
121685017,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:20,10124406,Mach Seven,1,,2.28861042774382985477343068010475359098,1,1,1001,1,1001,0,252.02,0
121685017,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:20,10138013,In The Beat,0,,9.25861152141802067946824224519940915805,1,9,9,1,1001,0,67.7,0
121685023,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:50,10103490,Pegasus Red,0,,4.56624203821656050955414012738853503185,1,1,1001,1,1001,0,15.7,0
121685025,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 21:20,10268138,Allys Envy,0,,1.88420674825796646888590690831487559213,1,1.93,1.8,1,1001,0,2474.12,0
121685030,USA / DeltaD (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10497619,Political Prophet,1,,1.74009669352597943873298138371769936093,1,1,1001,1,1001,0,359.9,0
121685077,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:03,10223821,Dosage And Mimosas,0,,2.73626470588235294117647058823529411765,1,1,1001,1,1001,0,27.2,0
121685077,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:03,10384346,Girlslovechocolate,0,,3.89454449152542372881355932203389830508,1,1,1001,1,1001,0,37.76,0
121685085,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 20:51,10028605,Three Bet,0,,9.8,1,1,1001,1,1001,0,6.4,0
121685085,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 20:51,10111721,Alternative Meds,0,,5.19721695129664769133459835547122074636,1,1,1001,1,1001,0,31.62,0
121685107,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:55,10007649,Dupes,0,,1.53653058409764843803875594786566443694,1,1,1001,1,1001,0,290.02,0
121685105,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:27,10077562,Runaway Brenda,0,,4.7,1,1,1001,1,1001,0,8,0
121685113,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:26,2528052,Luck Seeker,1,,1.74,1,1,1001,1,1001,0,.2,0
121685113,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:26,10077587,Lumber Man,1,,4.8,1,1,1001,1,1001,0,10,0
121685119,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:57,2486873,Tevez,0,,2.05779040575383362735785045460713801058,1,1,1001,1,1001,0,589.52,0
121685119,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:57,10163815,Chilkoot Pass,0,,10.1714285714285714285714285714285714286,1,1,1001,1,1001,0,14,0
121685125,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 20:10,10119658,Wonder Country,0,,21.8707964601769911504424778761061946903,1,1,1001,1,1001,0,22.6,0
121685131,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:40,10106398,Jais Michael,1,,1.42977700729927007299270072992700729927,1,1,1001,1,1001,0,548,0
121685131,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:40,10149935,A Big A Bad Bill,0,,13.91,1,1,1001,1,1001,0,8,0
121685133,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 22:10,10092580,Awalkinthemoonlite,1,,1.06635177295978968373374720871672236036,1,1.11,1.05,1,1001,0,15154.32,0
121685135,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 22:40,10106506,Legend In Time,1,,2.08576035177720776841333821912788567241,1,2.16,2.16,1,1001,0,709.54,0
121685139,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,5418544,Exactness,0,,7.46625409537677466326902074990899162723,1,1,1001,1,1001,0,54.94,0
121685139,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10412607,Dollar Doblado,0,,3.70021428571428571428571428571428571429,1,1,1001,1,1001,0,28,0
121659195,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 03:25,9991102,Beil Beil,0,,7.19915966386554621848739495798319327731,7.19915966386554621848739495798319327731,1,1001,1,1001,23.8,23.8,0
121659181,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:05,10080782,Skestos,0,,2.18761881188118811881188118811881188119,2.18761881188118811881188118811881188119,1,1001,1,1001,80.8,80.8,0
121659185,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:57,9991104,Glens Castle,0,,7.94435075885328836424957841483979763912,7.94435075885328836424957841483979763912,1,1001,1,1001,11.86,11.86,0
121659191,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 02:21,10175353,Untamed Dixie,1,,1.48110932762618155876582842874977706438,1.48110932762618155876582842874977706438,1,1001,1,1001,448.56,448.56,0
121685019,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:50,9978438,Shakesperian Dream,0,,2.0414418066010422698320787492762015055,1,1,1001,1,1001,0,172.7,0
121685009,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 17:20,10119907,Colonel Juanita,1,,1.79453146097758574129084526059951390764,1,1,1001,1,1001,0,148.12,0
121685023,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:50,10078342,Joe Mooch,1,,3.15477333333333333333333333333333333333,1,1,1001,1,1001,0,30,0
121685025,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 21:20,10409171,Ragazza Di Papa,0,,1.66967031916546178020481078303679185537,1,1.67,1.67,1,1001,0,1673.74,0
121685025,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 21:20,10310047,Tiffanys Freud,0,,12.0110497237569060773480662983425414365,1,1,1001,1,1001,0,10.86,0
121685030,USA / DeltaD (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10088179,Miss Jar,0,,3.52686635944700460829493087557603686636,1,1,1001,1,1001,0,8.68,0
121685030,USA / DeltaD (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10424082,Monnie Mae,1,,10.5635984848484848484848484848484848485,1,1,1001,1,1001,0,31.68,0
121685073,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 18:09,10065687,Straight Thunder,1,,2.74,1,1,1001,1,1001,0,7.7,0
121685079,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:30,10455000,Benovie,0,,3.73957198443579766536964980544747081712,1,1,1001,1,1001,0,51.4,0
121685081,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:57,10006124,Wisemans Fate,0,,2.6587544910179640718562874251497005988,1,1,1001,1,1001,0,33.4,0
121685083,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 20:24,10124237,Coach Germ,0,,21.2105263157894736842105263157894736842,1,1,1001,1,1001,0,5.32,0
121685092,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:54,10268335,Gurt Boys,1,,1.60238014981273408239700374531835205993,1,1,1001,1,1001,0,106.8,0
121685090,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:27,10415935,El Shaddai,0,,6.79942857142857142857142857142857142857,1,1,1001,1,1001,0,14,0
121685103,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:00,9969647,Sunny Weather,1,,2.9,1,1,1001,1,1001,0,6,0
121685111,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:57,10497846,Niigons Eclipse,1,,9.2,1,1,1001,1,1001,0,4,0
121685113,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:26,4112372,Flattery,0,,2.22972313467855466916940403566400750821,1,1,1001,1,1001,0,42.62,0
121685115,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:55,10039956,Line Of Best Fit,1,,4,1,1,1001,1,1001,0,5.32,0
121685119,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:57,10155020,Arctic Kid,0,,12.6525,1,1,1001,1,1001,0,8,0
121685127,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 20:40,9552130,Griffin The Great,1,,1.79561742481870277397433946954713727877,1,1,1001,1,1001,0,394.38,0
121685127,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 20:40,9552136,Clever Yank,0,,5.98015249537892791127541589648798521257,1,1,1001,1,1001,0,86.56,0
121685127,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 20:40,10096828,Fort Dixie,0,,2.32592979083001255950258167553067774797,1,1,1001,1,1001,0,1289.86,0
121685133,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 22:10,10059490,Its Tamareno,0,,1.47434747524906117128580739269420564228,1,1,1001,1,1001,0,644.42,0
121685135,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 22:40,10441454,Buzzin At Midnight,0,,3.89637076998528690534575772437469347719,1,1,1001,1,1001,0,81.56,0
121685137,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:10,10005193,Heathers Rose,1,,3.3881199369936993699369936993699369937,1,1,1001,1,1001,0,177.76,0
121685137,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:10,9978458,Precious Beth,0,,1.79645266250185928900788338539342555407,1,1.89,1.7,1,1001,0,1075.68,0
121685137,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:10,9990751,Cartiac Arrest,0,,7.53375796178343949044585987261146496815,1,1,1001,1,1001,0,15.7,0
121685139,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10018376,El Chuvasco,0,,3.94406896551724137931034482758620689655,1,1,1001,1,1001,0,29,0
121659183,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:31,10154522,Stormy Acre,0,,1.54201086253717832665201086253717832665,1.54201086253717832665201086253717832665,1,1001,1,1001,309.32,309.32,0
121659185,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 00:57,10393867,Cielo Medallist,1,,4.65714285714285714285714285714285714286,4.65714285714285714285714285714285714286,1,1001,1,1001,14,14,0
121659191,USA / CharlT (US) 5th Nov,TO BE PLACED,06-11-2015 02:21,10106528,Im Still Arockstar,0,,1.88371046813419205998269729885609920215,1.88371046813419205998269729885609920215,1,1001,1,1001,208.06,208.06,0
121685011,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 17:50,10398093,Counter Culture,1,,1.30020215454182737066099215321186327969,1,1,1001,1,1001,0,300.76,0
121685017,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:20,10107267,Summit Moon,0,,3.09517241379310344827586206896551724138,1,1,1001,1,1001,0,58,0
121685017,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 19:20,10150084,Lifes Reward,1,,1.54301381483276781386330586524478914203,1,1,1001,1,1001,0,165.04,0
121685021,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:20,575545,Pirouette,0,,2.75303558282208588957055214723926380368,1,1,1001,1,1001,0,81.5,0
121685021,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:20,10497597,Absatootly,1,,2.74487804878048780487804878048780487805,1,1,1001,1,1001,0,21.32,0
121685023,USA / Aque (US) 6th Nov,TO BE PLACED,06-11-2015 20:50,10140173,The Big Deluxe,1,,2.0067656811273832550428295109146172976,1,1,1001,1,1001,0,144.76,0
121685030,USA / DeltaD (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,9992001,Nolas Fireball,0,,2.09064935690543860494243460667662218797,1,1,1001,1,1001,0,415.18,0
121685030,USA / DeltaD (US) 6th Nov,TO BE PLACED,06-11-2015 23:40,10497616,El Lizann,0,,13.9463594470046082949308755760368663595,1,1,1001,1,1001,0,8.68,0
121685075,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 18:36,10150163,Reaction Rate,1,,1.47229938450818720241551503890372779004,1,1,1001,1,1001,0,172.22,0
121685075,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 18:36,3847936,Old Mcdonald,0,,4.6,1,1,1001,1,1001,0,5.02,0
121685075,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 18:36,10080833,Crimson Lad,0,,1.68745901639344262295081967213114754098,1,1,1001,1,1001,0,4.88,0
121685077,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:03,10205453,Lady Lucky,0,,1.69892164389170377194329290137673371206,1,1,1001,1,1001,0,390.78,0
121685079,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:30,10284422,One Sweet Dream,1,,1.23723349047984504623031100391038994262,1,1.25,1.25,1,1001,0,547.26,0
121685081,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 19:57,387280,Golden Fire,1,,1.67780575391092582655714698476905931399,1,1.71,1.71,1,1001,0,484.54,0
121685085,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 20:51,9991409,Patrons Heidi H,0,,3.28732394366197183098591549295774647887,1,1,1001,1,1001,0,31.24,0
121685085,USA / FingL (US) 6th Nov,TO BE PLACED,06-11-2015 20:51,10006122,Mistretta,1,,1.80132263584299483168040229082274060623,1,1.81,1.81,1,1001,0,1145.44,0
121685092,USA / Penn (US) 6th Nov,TO BE PLACED,06-11-2015 23:54,10102988,Atrox,1,,1.82014180739976795152765244295475054789,1,1.96,1.96,1,1001,0,1085.98,0
121685103,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:00,9969649,Flying Echo,0,,1.39262896551724137931034482758620689655,1,1,1001,1,1001,0,72.5,0
121685103,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:00,9993057,Gtmeoutahereseamus,1,,1.27036281179138321995464852607709750567,1,1,1001,1,1001,0,8.82,0
121685107,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:55,9993007,Bilby Rhode,1,,2.48285610200364298724954462659380692168,1,1,1001,1,1001,0,54.9,0
121685107,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:55,10159992,Destinys Song,1,,1.76483499214248297537977998952331063384,1,1,1001,1,1001,0,190.9,0
121685105,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:27,9929696,Primordia,0,,2.34636,1,1,1001,1,1001,0,40,0
121685105,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:27,9969628,Duppy Conqueror,0,,2.95403969807100922560805143975398378529,1,1,1001,1,1001,0,143.08,0
121685105,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 18:27,10146760,Mindfulness,1,,1.57895789787996416840848014332636607943,1,1,1001,1,1001,0,66.98,0
121685109,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 19:24,10135265,Flashy Patch,1,,2.20705744431418522860492379835873388042,1,1,1001,1,1001,0,85.3,0
121685113,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:26,10189339,Bears Personality,0,,1.44963439697133585722011898323418063818,1,1,1001,1,1001,0,554.7,0
121685115,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 20:55,10409233,Casablanca Kiss,1,,1.35,1,1,1001,1,1001,0,20,0
121685119,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:57,9929680,Masquerade Party,0,,3.29285976729944886711573790569503980404,1,1,1001,1,1001,0,163.3,0
121685119,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:57,10078042,Mr. Honey Badger,1,,2.74216381556587742154752464030814546278,1,1,1001,1,1001,0,176.54,0
121685117,USA / Woodb (US) 6th Nov,TO BE PLACED,06-11-2015 21:26,10406614,Miss Forester,1,,1.83170118090022248844771521478692452507,1,1,1001,1,1001,0,116.86,0
121685125,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 20:10,9978439,Zes T Cat,0,,1.65923646366180870572338577357397934562,1,1.59,1.56,1,1001,0,2072.2,0
121685125,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 20:10,9978443,Sunny Suprise,0,,3.41903998416468725257323832145684877276,1,1,1001,1,1001,0,101.04,0
121685125,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 20:10,9990750,Nikaluk,1,,2.13628245571463237078379034214996360107,1,2.1,2.1,1,1001,0,412.1,0
121685127,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 20:40,9552114,Win D Prado,1,,1.44311187523025911826108313889230013509,1,1,1001,1,1001,0,162.86,0
121685127,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 20:40,10005234,Bandit Man,1,,1.26347004256425252623712512590570880853,1,1.26,1.24,1,1001,0,2462.16,0
121685133,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 22:10,10096922,Zipso Facto,1,,1.09380051571092805147981653469639230541,1,1.13,1.08,1,1001,0,5258.76,0
121685135,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 22:40,10119594,Bennys Babygirl,0,,1.41444509319559847293959128677296204806,1,1.39,1.37,1,1001,0,1781.2,0
121685129,USA / Hawth (US) 6th Nov,TO BE PLACED,06-11-2015 21:10,10143792,Looking For Bits,0,,1.77757652474108170310701956271576524741,1,1,1001,1,1001,0,521.4,0


authors,pub.year,article.title,journal.name,DOI,article.PDF.URL,PDF.views,PDF.downloads,PDF.citations,article.HTML.URL,HTML.views,article.preprint.URL,preprint.views,preprint.downloads,metrics.date,prereg.type,prereg.URL,open.mat.URL,open.data.URL,open.code.URL,rs.type,disclosure.date,article.type,rep.num,original.study,target.effects,commentaries.URLs,abstract.text,keywords,author.contributions,competing.interests,funding.sources,peer.review.editor,peer.reviewers,peer.reviews.URL
"EP LeBel, W Vanpaemel, I Cheung, & L Campbell",in press,A brief guide to evaluate replications,Meta-Psychology,,,,,,,,https://osf.io/paxyn/,,211,"January 17, 2019",,,,,,,,conceptual,,,,,"The importance of replication is becoming increasingly appreciated, however, considerably less consensus exists about how to evaluate the design and results of replications. We make concrete recommendations on how to evaluate replications with more nuance than what is typically done currently in the literature. We highlight six study characteristics that are crucial for evaluating replications: replication method similarity, replication differences, investigator independence, method/data transparency, analytic result reproducibility, and auxiliary hypotheses’ plausibility evidence. We also recommend a more nuanced approach to statistically interpret replication results at the individual-study and meta-analytic levels, and propose clearer language to communicate replication results.",transparency;  reproducibility;  direct replication;  replicability;  evaluating replications,,None to declare.,"European Commission (Marie-Curie grant, Project ID: 793669: EP LeBel, W Vanpaemel)",R Carlsson,MB Nuijten; U Schimmack,https://osf.io/dsn72/
"EP LeBel, R McCarthy, B Earp, M Elson, & W Vanpaemel",2018,A unified framework to quantify the credibility of scientific findings,Advances in Methods and Practices in Psychological Science,10.1177/2515245918787489,"https://etiennelebel.com/documents/lebeletal(2018,ampss)a-unified-framework-to-quantify-the-credibility-of-scientific-findings.pdf",,1033,20,,,https://psyarxiv.com/uwmr8,,1486,"December 15, 2018",,,,,,,,conceptual,,,,,"Societies invest in scientific studies to better understand the world and attempt to harness such improved understanding to address pressing societal problems. Published research, however, can be useful for theory or application only if it is credible. In science, a credible finding is one that has repeatedly survived risky falsification attempts. However, state-of-the-art meta-analytic approaches cannot determine the credibility of an effect because they do not account for the extent to which each included study has survived such attempted falsification. To overcome this problem, we outline a unified framework for estimating the credibility of published research by examining four fundamental falsifiability-related dimensions: (a) transparency of the methods and data, (b) reproducibility of the results when the same data-processing and analytic decisions are reapplied, (c) robustness of the results to different data-processing and analytic decisions, and (d) replicability of the effect. This framework includes a standardized workflow in which the degree to which a finding has survived scrutiny is quantified along these four facets of credibility. The framework is demonstrated by applying it to published replications in the psychology literature. Finally, we outline a Web implementation of the framework and conclude by encouraging the community of researchers to contribute to the development and crowdsourcing of this platform.",research credibility; transparency; open science; analytic reproducibility; analytic robustness; replicability,"E. P. LeBel conceived the general idea, drafted and revised the manuscript, created the figures, and executed the analytic-reproducibility checks and meta-analyses for the application of the framework to the infidelity-distress effect. W. Vanpaemel provided substantial contributions to the conceptual development of the ideas presented. W. Vanpaemel, R. J. McCarthy, B. D. Earp, and M. Elson provided critical commentary and made substantial contributions to writing and revising the manuscript. All authors approved the final submitted version of the manuscript.",None to declare.,Ministry of Culture and Science (Germany: M Elson),S Vazire,"Anonymous reviewer 1, Anonymous reviewer 2",
"EP LeBel, D Berger, L Campbell, & TJ Loving",2017,Falsifiability is not optional,Journal of Personality and Social Psychology,10.1037/pspi0000106,"https://etiennelebel.com/documents/lbcl(2017,jpsp).pdf",,,23,,,https://psyarxiv.com/dv94b/,,1407,"December 17, 2018",,,,,https://osf.io/wp6an/,,,conceptual,,,,,"Finkel, Eastwick, and Reis (2016; FER2016) argued the post-2011 methodological reform movement has focused narrowly on replicability, neglecting other essential goals of research. We agree multiple scientific goals are essential, but argue, however, a more fine-grained language, conceptualization, and approach to replication is needed to accomplish these goals. Replication is the general empirical mechanism for testing and falsifying theory. Sufficiently methodologically similar replications, also known as direct replications, test the basic existence of phenomena and ensure cumulative progress is possible a priori. In contrast, increasingly methodologically dissimilar replications, also known as conceptual replications, test the relevance of auxiliary hypotheses (e.g., manipulation and measurement issues, contextual factors) required to productively investigate validity and generalizability. Without prioritizing replicability, a field is not empirically falsifiable. We also disagree with FER2016’s position that “bigger samples are generally better, but... that very large samples could have the downside of commandeering resources that would have been better invested in other studies” (abstract). We identify problematic assumptions involved in FER2016’s modifications of our original research-economic model, and present an improved model that quantifies when (and whether) it is reasonable to worry that increasing statistical power will engender potential trade-offs. Sufficiently powering studies (i.e., 80%) maximizes both research efficiency and confidence in the literature (research quality). Given that we are in agreement with FER2016 on all key open science points, we are eager to start seeing the accelerated rate of cumulative knowledge development of social psychological phenomena such a sufficiently transparent, powered, and falsifiable approach will generate.",direct replication; falsification; power; replicability; transparency,,None to declare.,None to declare.,K Kawakami,"R Giner-Sorolla, Anonymous reviewer 2, Anonymous reviewer 3, Anonymous reviewer 4",
"EP LeBel, L Campbell, & TJ Loving",2017,Benefits of open and high-powered research outweigh costs,Journal of Personality and Social Psychology,10.1037/pspi0000049,"https://etiennelebel.com/documents/lcl(2017,jpsp).pdf",,,15,,,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2616384,3557,496,"December 17, 2018",,,,,https://osf.io/hpwqd/,,,conceptual,,,,,"Several researchers recently outlined unacknowledged costs of open science practices, arguing these costs may outweigh benefits and stifle discovery of novel findings. We scrutinize these researchers’ (a) statistical concern that heightened stringency with respect to false-positives will increase false-negatives and (b) metascientific concern that larger samples and executing direct replications engender opportunity costs that will decrease the rate of making novel discoveries. We argue their statistical concern is unwarranted given open science proponents recommend such practices to reduce the inflated Type I error rate from .35 down to .05 and simultaneously call for high-powered research to reduce the inflated Type II error rate. Regarding their metaconcern, we demonstrate that incurring some costs is required to increase the rate (and frequency) of making true discoveries because distinguishing true from false hypotheses requires a low Type I error rate, high statistical power, and independent direct replications. We also examine pragmatic concerns raised regarding adopting open science practices for relationship science (preregistration, open materials, open data, direct replications, sample size); while acknowledging these concerns, we argue they are overstated given available solutions. We conclude benefits of open science practices outweigh costs for both individual researchers and the collective field in the long run, but that short term costs may exist for researchers because of the currently dysfunctional academic incentive structure. Our analysis implies our field’s incentive structure needs to change whereby better alignment exists between researcher’s career interests and the field’s cumulative progress. We delineate recent proposals aimed at such incentive structure realignment.",open science practices; independent replication; cumulative knowledge; analytic and design flexibility,,None to declare.,None to declare.,RC Fraley,"Anonymous reviewer 1, M Kraus",
"M Heino, EI Fried, & EP LeBel",2017,Complex phenomena require sophisticated designs: Why we shouldn't give up on replicability,Frontiers in Psychology,10.3389/fpsyg.2017.01004,"https://etiennelebel.com/documents/hf&l(2017,fip).pdf",,,3,http://journal.frontiersin.org/article/10.3389/fpsyg.2017.01004/full,4862,https://osf.io/6b95w/,,268,"December 14, 2018",,,,,,,,commentary,,,,,,replicability crisis; replication; complexity; complex systems; falsification,"All authors listed, have made substantial, direct and intellectual contribution to the work, and approved it for publication.",None to declare.,"Academy of Finland (grant # 295765: M Heino), European Research Council (Consolidator grant # 647209: EI Fried)",MS Hagger,D Trafimow,
"I Cheung, L Campbell, EP LeBel, ... , & JC Yong",2016,"Registered Replication Report: Study 1 from Finkel, Rusbult, Kumashiro, & Hannon (2002) (RRR5)",Perspectives on Psychological Science,10.1177/1745691616664694,http://journals.sagepub.com/doi/pdf/10.1177/1745691616664694,,1033,24,http://journals.sagepub.com/doi/10.1177/1745691616664694,,,,,"December 15, 2018",preregplusrr,https://osf.io/2h6tf/,https://osf.io/knfy4/files/,https://osf.io/3nz7j/files/,https://osf.io/3nz7j/files/,basic4.at.subm,,replication,16,Finkel et al. (2002) Study 1,commitment on forgiveness effect,https://static1.squarespace.com/static/56c0eeaa7c65e465b5050feb/t/5804396dbe6594564b28c24b/1476671855511/2016_Finkel_PPS.pdf,"Finkel, Rusbult, Kumashiro, and Hannon (2002, Study 1) demonstrated a causal link between subjective commitment to a relationship and how people responded to hypothetical betrayals of that relationship. Participants primed to think about their commitment to their partner (high commitment) reacted to the betrayals with reduced exit and neglect responses relative to those primed to think about their independence from their partner (low commitment). The priming manipulation did not affect constructive voice and loyalty responses. Although other studies have demonstrated a correlation between subjective commitment and responses to betrayal, this study provides the only experimental evidence that inducing changes to subjective commitment can causally affect forgiveness responses. This Registered Replication Report (RRR) meta-analytically combines the results of 16 new direct replications of the original study, all of which followed a standardized, vetted, and preregistered protocol. The results showed little effect of the priming manipulation on the forgiveness outcome measures, but it also did not observe an effect of priming on subjective commitment, so the manipulation did not work as it had in the original study. We discuss possible explanations for the discrepancy between the findings from this RRR and the original study. ",commitment; rejection; relationships; analytic reproducibility; replication; preregistration,,None to declare.,None to declare.,DJ Simons,,
EP LeBel,2015,A new replication norm for psychology,Collabra: Psychology,10.1525/collabra.23,"https://etiennelebel.com/documents/l(2015,collabra).pdf",,346,10,http://collabra.org/articles/10.1525/collabra.23/,2051,,,,"December 14, 2018",,,,,,,,conceptual,,,,,"In recent years, there has been a growing concern regarding the replicability of findings in psychology, including a mounting number of prominent findings that have failed to replicate via high-powered independent replication attempts. In the face of this replicability “crisis of confidence”, several initiatives have been implemented to increase the reliability of empirical findings. In the current article, I propose a new replication norm that aims to further boost the dependability of findings in psychology. Paralleling the extant social norm that researchers should peer review about three times as many articles that they themselves publish per year, the new replication norm states that researchers should aim to independently replicate important findings in their own research areas in proportion to the number of original studies they themselves publish per year (e.g., a 4:1 original-to-replication studies ratio). I argue this simple approach could significantly advance our science by increasing the reliability and cumulative nature of our empirical knowledge base, accelerating our theoretical understanding of psychological phenomena, instilling a focus on quality rather than quantity, and by facilitating our transformation toward a research culture where executing and reporting independent direct replications is viewed as an ordinary part of the research process. To help promote the new norm, I delineate (1) how each of the major constituencies of the research process (i.e., funders, journals, professional societies, departments, and individual researchers) can incentivize replications and promote the new norm and (2) any obstacles each constituency faces in supporting the new norm.",independent replication; cumulative knowledge; replication norm,,None to declare.,None to declare.,S Vazire,"K Corker, Anonymous reviewer 2",http://s3-eu-west-1.amazonaws.com/ubiquity-partner-network/ucp/journal/collabra/collabra-pr-23-v2.pdf
"AA Aarts, ... , EP LeBel, ... , BA Nosek",2015,Estimating the [replicability] of psychological science (RPP),Science,10.1126/science.aac4716,"https://etiennelebel.com/documents/osc(2015,science).pdf",65411,,2676,,,https://osf.io/447b3/,,12390,"December 14, 2018",,,https://osf.io/ezcuj/wiki/Replicated%20Studies/,https://osf.io/ytpuq/wiki/home/,https://osf.io/ytpuq/wiki/home/,,,replication,100,,100 social/cognitive psychology effects,http://science.sciencemag.org/content/351/6277/1037.2,"[Replicability] is a defining feature of science, but the extent to which it characterizes current research is unknown. We conducted replications of 100 experimental and correlational studies published in three psychology journals using high-powered designs and original materials when available. Replication effects were half the magnitude of original effects, representing a substantial decline. Ninety-seven percent of original studies had statistically significant results. Thirty-six percent of replications had statistically significant results; 47% of original effect sizes were in the 95% confidence interval of the replication effect size; 39% of effects were subjectively rated to have replicated the original result; and if no bias in original results is assumed, combining original and replication results left 68% with statistically significant effects. Correlational tests suggest that replication success was better predicted by the strength of original evidence than by characteristics of the original and replication teams. ",,,None to declare.,None to declare.,Anonymous,Anonymous reviewer 1; Anonymous reviewer 2; Anonymous reviewer 3; Anonymous reviewer 4,
C Madurski & EP LeBel,2015,Replication difficulties of Correll's (2008) modulation of 1/f noise in a racial bias task,Psychonomic Bulletin & Review,10.3758/s13423-014-0757-4,"http://etiennelebel.com/documents/m&l(2015,pbr).pdf",,,5,,,http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2435572,1004,73,"December 20, 2018",preregplus,https://osf.io/iwe3v/,https://osf.io/iraqy/files/,https://osf.io/iraqy/files/,https://osf.io/iraqy/files/,basic4.at.subm,,replication,2,Correll (2008) Study 2,modulation of 1/f noise racial bias emission,,"Correll (2008; Study 2, Journal of Personality and Social Psychology, 94, 48–59) found that instructions to use or avoid race information decreased the emission of 1/f noise in a weapon identification task (WIT). These results suggested that 1/f noise in racial bias tasks reflected an effortful deliberative process, providing new insights regarding the mechanisms underlying implicit racial biases. Given the potential theoretical and applied importance of understanding the psychological processes underlying implicit racial biases – and in light of the growing demand for independent direct replications of findings to ensure the cumulative nature of our science – we attempted to replicate Correll’s finding in two high-powered studies. Despite considerable effort to closely duplicate all procedural and methodological details of the original study (i.e., same cover story, experimental manipulation, implicit measure task, original stimuli, task instructions, sampling frame, population, and statistical analyses), both replication attempts were unsuccessful in replicating the original finding challenging the theoretical account that 1/f noise in racial bias tasks reflects a deliberative process. However, the emission of 1/f noise did consistently emerge across samples in each of our conditions. Hence, future research is needed to clarify the psychological significance of 1/f noise in racial bias tasks.",1/f noise; implicit racial bias;  weapon identification task;  independent direct replication,,None to declare.,"Social Science and Humanities Research Council (SSHRC grant # 756-2011-0090, Canada: EP LeBel)",SD Goldinger,Anonymous reviewer 1; Anonymous reviewer 2,
"L Campbell, TJ Loving, & EP LeBel",2014,Enhancing transparency of the research process to increase accuracy of findings: A guide for relationship researchers,Personal Relationships,10.1111/pere.12053,"https://etiennelebel.com/documents/cl&l(2014,pr).pdf",,,21,,,http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2435185,1006,133,"December 20, 2018",,,,,,,,conceptual,,,,,"The purpose of this paper is to extend to the field of relationship science, recent discussions and suggested changes in open research practises. We demonstrate different ways that greater transparency of the research process in our field will accelerate scientific progress by increasing accuracy of reported research findings. Importantly, we make concrete recommendations for how relationship researchers can transition to greater disclosure of research practices in a manner that is sensitive to the unique design features of methodologies employed by relationship scientists. We discuss how to implement these recommendations for four different research designs regularly used in relationship research and practical limitations regarding implementing our recommendations and provide potential solutions to these problems.",,,None to declare.,None to declare.,J Fitness,"Anonymous reviewer 1, Anonymous reviewer 2",
EP LeBel & CJ Wilbur,2014,Big secrets do not necessarily cause hills to appear steeper,Psychonomic Bulletin & Review,10.3758/s13423-013-0549-2,"http://etiennelebel.com/documents/l&w(2014,pbr).pdf",,,19,,,,,,"December 20, 2018",preregplus,https://osf.io/dz2fx/,https://osf.io/w6kv5/files/,https://osf.io/w6kv5/files/,https://osf.io/w6kv5/files/,basic4.at.subm,,replication,2,Slepian et al. (2012) Study 1,physical burdensomeness of secrets effect,,"Slepian, Masicampo, Toosi, and Ambady (2012, Study 1, Journal of Experimental Psychology: General, 141, 619–624) found that individuals recalling and writing about a big, meaningful secret judged a pictured hill as steeper than did those who recalled and wrote about a small, inconsequential secret (with estimates unrelated to physical effort unaffected). From an embodied cognition perspective, this result was interpreted as suggesting that important secrets weigh people down. Answering to mounting calls for the crucial need of independent direct replications of published findings to ensure the self-correcting nature of our science, we sought to corroborate Slepian et al.’s finding in two extremely highpowered, preregistered studies that were very faithful to all procedural and methodological details of the original study (i.e., same cover story, study title, manipulation, measures, item order, scale anchors, task instructions, sampling frame, population, and statistical analyses). In both samples, we were unsuccessful in replicating the target finding. Although Slepian et al. reported three other studies supporting the secret burdensomeness phenomenon, we advise that these three other findings need to be independently corroborated before the general phenomenon informs theory or health interventions.",embodied cognition; secrecy; concealment of secrets; independent direct replication,,None to declare.,"Social Science and Humanities Research Council (SSHRC grant # 756-2011-0090, Canada: EP LeBel)",C Moore,A Glenberg; Anonymous reviewer 2; Anonymous reviewer 3,
EP LeBel & L Campbell,2013,Heightened sensitivity to temperature cues in individuals with high anxious attachment: Real or elusive phenomenon?,Psychological Science,10.1177/0956797613486983,"http://etiennelebel.com/documents/l&c(2013,psci).pdf",,,46,,,,,,"December 20, 2018",preregplus,https://osf.io/kizyn/,https://osf.io/qsnvb/,https://osf.io/qsnvb/,https://osf.io/qsnvb/,basic4.retro,"November 1, 2013",replication,2,Vess (2012) Study 1,anxious attachment warm food effect,,,,,None to declare.,"Social Science and Humanities Research Council (SSHRC grant # 756-2011-0090, Canada: EP LeBel); SSHRC grant (Canada: L Campbell)",E Eich,Anonymous reviewer 1,
"EP LeBel, D Borsboom, R Giner-Sorolla, F Hasselman, ... , & CT Smith",2013,PsychDisclosure.org: Grassroots support for reforming reporting standards in psychology,Perspectives on Psychological Science,10.1177/1745691613491437,"https://etiennelebel.com/documents/lbghprs(2013,pps).pdf",,,77,,,,,,"December 20, 2018",,,,,,,,conceptual,,,,,"There is currently an unprecedented level of doubt regarding the reliability of research findings in psychology. Many recommendations have been made to improve the current situation. In this article, we report results from PsychDisclosure.org, a novel open-science initiative that provides a platform for authors of recently published articles to disclose four methodological design specification details that are not required to be disclosed under current reporting standards but that are critical for accurate interpretation and evaluation of reported findings. Grassroots sentiment -- as manifested in the positive and appreciative response to our initiative -- indicates that psychologists want to see changes made at the systemic level regarding disclosure of such methodological details. Almost 50% of contacted researchers disclosed the requested design specifications for the four methodological categories (excluded subjects, nonreported conditions and measures, and sample size determination). Disclosed information provided by participating authors also revealed several instances of questionable editorial practices, which need to be thoroughly examined and redressed. On the basis of these results, we argue that the time is now for mandatory methods disclosure statements for all psychology journals, which would be an important step forward in improving the reliability of findings in psychology.",reporting standards; disclosure; methodological design specifications; methodology,,None to declare.,"Social Science and Humanities Research Council (SSHRC grant # 756-2011-0090, Canada: EP LeBel)",B Spellman,Anonymous reviewer 1,
EP LeBel & L Campbell ,2013,The interactive role of implicit and explicit partner evaluations on ongoing affective and behavioral romantic realities,Social Psychological and Personality Science,10.1177/1948550612448196,"https://etiennelebel.com/documents/l&c(2013,spps).pdf",,,10,,,,,,"December 20, 2018",,,,,,basic7,"February 15, 2018",original,,,,,"Past research on close relationships has increasingly focused on the assessment of implicit constructs to shed new light on relationship processes. However, virtually nothing is known about the role of such constructs in understanding ongoing affective and behavioral romantic realities and how implicit and explicit relationship constructs interact in the context of daily relationship outcomes. Using a 21-day diary approach, the present research examined the unique and interactive role of implicit partner evaluations and explicit partner perceptions on relationship outcomes (daily relationship quality and positive relationship behaviors enacted toward partner). Results showed that more positive implicit partner evaluations uniquely predicted more positive relationship outcomes during the 21-day diary period, but that this was especially pronounced in individuals who did not explicitly perceive their partner’s attributes in an overly positive manner. Implications for the close relationship literature are discussed.",implicit partner evaluations; explicit partner perceptions; relationship satisfaction,,None to declare.,"Social Science and Humanities Research Council (SSHRC grant # 756-2011-0090, Canada: EP LeBel), SSHRC grant (Canada: L Campbell)",C Finkenauer,Anonymous reviewer 1,
"AA Aarts, ... , EP LeBel, ... , & BA Nosek (2012)",2012,"An open, large-scale, collaborative effort to estimate the [replicability] of psychological science",Perspectives on Psychological Science,10.1177/1745691612462588,"https://etiennelebel.com/documents/osc(2012,pps).pdf",,,345,,,,,,"December 20, 2018",,,,,,,,conceptual,,,,,"[Replicability] is a defining feature of science. However, because of strong incentives for innovation and weak incentives for confirmation, direct replication is rarely practiced or published. The [Replicability] Project is an open, large-scale, collaborative effort to systematically examine the rate and predictors of [replicability] in psychological science. So far, 72 volunteer researchers from 41 institutions have organized to openly and transparently replicate studies published in three prominent psychological journals in 2008. Multiple methods will be used to evaluate the findings, calculate an empirical rate of replication, and investigate factors that predict [replicability]. Whatever the result, a better understanding of [replicability] will ultimately improve confidence in scientific methodology and findings.",methodology; replication; reproducibility; psychological science; open,,None to declare.,None to declare.,,,
SV Paunonen & EP LeBel,2012,Socially desirable responding and its elusive effects on the validity of personality assessments,Journal of Personality and Social Psychology,10.1037/a0028165,"https://etiennelebel.com/documents/p&l(2012,jpsp).pdf",,,80,,,,,,"December 20, 2018",,,,,https://osf.io/g8k8g/files/,,,conceptual,,,,,"Past studies of socially desirable self-reports on the items of personality measures have found inconsistent effects of the response bias on the measures’ predictive validities, with some studies reporting small effects and other studies reporting large effects. Using Monte Carlo methods, we evaluated various models of socially desirable responding by systematically adding predetermined amounts of the bias to the simulated personality trait scores of hypothetical test respondents before computing test–criterion validity correlations. Our study generally supported previous findings that have reported relatively minor decrements in criterion prediction, even with personality scores that were massively infused with desirability bias. Furthermore, the response bias failed to reveal itself as a statistical moderator of test validity or as a suppressor of validity. Large differences between some respondents’ obtained test scores and their true trait scores, however, meant that the personality measure’s construct validity would be severely compromised and, more specifically, that estimates of those individuals’ criterion performance would be grossly in error. Our discussion focuses on reasons for the discrepant results reported in the literature pertaining to the effect of socially desirable responding on criterion validity. More important, we explain why the lack of effects of desirability bias on the usual indicators of validity, moderation, and suppression should not be surprising.",social desirability; personality assessment; response bias; test validity; Monte Carlo simulation,,None to declare.,"Social Science and Humanities Research Council (Canada, SSHRC grant # 410-2010-2586: SV Paunonen), SSHRC (Canada, SSHRC doctoral fellowship # 767-2007-1425: EP LeBel)",L King,"Anonymous reviewer 1, Anonymous reviewer 2",
EP LeBel & KR Peters,2011,Fearing the future of empirical psychology: Bem's (2011) evidence of psi as a case study of deficiencies in modal research practice,Review of General Psychology,10.1037/a0025172,"https://etiennelebel.com/documents/l&p(2011,pspb).pdf",,,140,,,,,,"December 20, 2018",,,,,,,,conceptual,,,,,"In this methodological commentary, we use Bem’s (2011) recent article reporting experimental evidence for psi as a case study for discussing important deficiencies in modal research practice in empirical psychology. We focus on (a) overemphasis on conceptual rather than close replication, (b) insufficient attention to verifying the soundness of measurement and experimental procedures, and (c) flawed implementation of null hypothesis significance testing. We argue that these deficiencies contribute to weak method-relevant beliefs that, in conjunction with overly strong theory-relevant beliefs, lead to a systemic and pernicious bias in the interpretation of data that favors a researcher’s theory. Ultimately, this interpretation bias increases the risk of drawing incorrect conclusions about human psychology. Our analysis points to concrete recommendations for improving research practice in empirical psychology. We recommend (a) a stronger emphasis on close replication, (b) routinely verifying the integrity of measurement instruments and experimental procedures, and (c) using stronger, more diagnostic forms of null hypothesis testing.",psi; close replication; NHST; file drawer problem; modal research practice,,None to declare.,"Social Science and Humanities Research Council (Canada, SSHRC doctoral fellowship # 767-2007-1425: EP LeBel)",D Candland,Anonymous reviewer 1,
EP LeBel & SV Paunonen,2011,Sexy but often unreliable: Impact of unreliability on the replicability of experimental findings involving implicit measures,Personality and Social Psychology Bulletin,10.1177/0146167211400619,"https://etiennelebel.com/documents/l&p(2011,pspb).pdf",,,95,,,,,,"December 20, 2018",,,,,http://figshare.com/articles/SPSS_syntax_for_LeBel_Paunonen_2011_PSPB_/953179,,,conceptual,,,,,"Implicit measures have contributed to important insights in almost every area of psychology. However, various issues and challenges remain concerning their use, one of which is their considerable variation in reliability, with many implicit measures having questionable reliability. The goal of the present investigation was to examine an overlooked consequence of this liability with respect to replication, when such implicit measures are used as dependent variables in experimental studies. Using a Monte Carlo simulation, the authors demonstrate that a higher level of unreliability in such dependent variables is associated with substantially lower levels of replicability. The results imply that this overlooked consequence can have farreaching repercussions for the development of a cumulative science. The authors recommend the routine assessment and reporting of the reliability of implicit measures and also urge the improvement of implicit measures with low reliability.",implicit measures; replicability; replication; reliability; measurement error ,,None to declare.,"Social Science and Humanities Research Council (Canada, SSHRC doctoral fellowship # 767-2007-1425: EP LeBel), SSHRC grant (Canada, grant # 410-2010-2586: SV Paunonen)",DA Stapel,"Anonymous reviewer 1, Anonymous reviewer 2",
EP LeBel,2010,Attitude accessibility as a moderator of implicit and explicit self-esteem correspondence,Self and Identity,10.1080/15298860902979166,https://etiennelebel.com/documents/l2010sai.pdf,,,18,,,,,,"December 20, 2018",,,http://figshare.com/articles/LeBel_2010_S_I_Data_and_syntax_/953183,http://figshare.com/articles/LeBel_2010_S_I_Data_and_syntax_/953183,http://figshare.com/articles/LeBel_2010_S_I_Data_and_syntax_/953183,basic7,"February 15, 2018",original,,,,,"A key question in the self-esteem literature involves the conditions under which implicit and explicit self-esteem correspond. The current investigation adds to this literature by using a novel strategy capitalizing on natural variation in self-report response latencies to shed further light on the conditions of implicit and explicit selfesteem consistency. The current study demonstrated that implicit and explicit selfesteem corresponded for highly accessible self-attitudes (as indexed by response latencies to the Rosenberg Self-Esteem Scale items, RSES; Rosenberg, 1965) whereas implicit and explicit self-esteem were virtually unrelated for less accessible self-attitudes. This effect was found using both the Name Letter Task (NLT; Nuttin, 1985) and the Self-Esteem Implicit Association Test (SE-IAT; Greenwald & Farnham, 2000) as measures of implicit self-esteem.",explicit self-esteem; implicit–explicit correspondence; implicit self-esteem; Name Letter Task; self-esteem Implicit Association Test,,None to declare.,"Social Science and Humanities Research Council (Canada, SSHRC doctoral fellowship # 767-2007-1425: EP LeBel)",J Bosson,"Anonymous reviewer 1, Anonymous reviewer 2",
EP LeBel & B Gawronski,2009,How to find what's in a name: Scrutinizing the optimality of five scoring algorithms for the name-letter task,European Journal of Personality,10.1002/per.705,"https://etiennelebel.com/documents/l&g(2009,ejp).pdf",,,94,,,,,,"December 20, 2018",,,,http://figshare.com/articles/LeBel_Gawronski_2009_EJP_/953189,http://figshare.com/articles/LeBel_Gawronski_2009_EJP_/953189,,,reanalysis,,,,,"Although the name-letter task (NLT) has become an increasingly popular technique to measure implicit self-esteem (ISE), researchers have relied on different algorithms to compute NLT scores and the psychometric properties of these differently computed scores have never been thoroughly investigated. Based on 18 independent samples, including 2690 participants, the current research examined the optimality of five scoring algorithms based on the following criteria: reliability; variability in reliability estimates across samples; types of systematic error variance controlled for; systematic production of outliers and shape of the distribution of scores. Overall, an ipsatized version of the original algorithm exhibited the most optimal psychometric properties, which is recommended for future research using the NLT.",name-letter task; initial preference task; implicit self-esteem; reliability; validity,,None to declare.,"Social Science and Humanities Research Council (Canada, SSHRC doctoral fellowship # 767-2007-1425: EP LeBel); Canada Research Chairs Program Grant (Canada, grant # 202555: B Gawronski); SSHRC (grant # 410-2008-2247: B Gawronski)",M Perugini,Anonymous reviewer 1,
EP LeBel & L Campbell ,2009,"Implicit partner affect, relationship satisfaction, and the prediction of romantic breakup",Journal of Experimental Social Psychology,10.1016/j.jesp.2009.07.003,"https://etiennelebel.com/documents/l&c(2009,jesp).pdf",,,50,,,,,,"December 20, 2018",,,,,,,,original,,,,,"The current research investigated the role of spontaneous partner feelings (implicit partner affect) in the dynamics of relationship satisfaction, commitment, and romantic dissolution. Participants completed a variant of the name-letter task as a measure of implicit partner affect, and self-report measures of relationship satisfaction and commitment. Approximately 4 months later, participants were contacted to assess their current relationship status. Overall, participants showed a biased preference for their partner’s initials (after adjusting for proper baselines), indicating the presence of positive implicit partner affect. Participants with more positive implicit partner affect were more satisfied with, but not more committed to, their relationship. Additionally, implicit partner affect exerted a significant indirect effect on relationship stability. These effects were independent of relationship length, age, and gender. Implications for the role of automatic affective processes in relationship processes and the utility of indirect measures for shedding light on relationship dynamics are discussed.",implicit partner evaluation; implicit measures; name-letter effect; relationship satisfaction; relationship stability,,None to declare.,"Social Science and Humanities Research Council (Canada, SSHRC doctoral fellowship # 767-2007-1425: EP LeBel), SSHRC grant (Canada: L Campbell)",J Cooper,Anonymous reviewer 1,
B Gawronski & EP LeBel,2008,"Understanding patterns of attitude change: When implicit measures show change, but explicit measures do not",Journal of Experimental Social Psychology,10.1016/j.jesp.2008.04.005,https://etiennelebel.com/documents/gl2008jesp.pdf,,,256,,,,,,"December 20, 2018",,,,,,,,original,,,,,"A common assumption in research on attitudes is that indirect measures assess relatively stable implicit attitudes, whereas traditional self-report measures assess more recently acquired explicit attitudes that coexist with old, presumably stable implicit attitudes. This assumption seems difficult to reconcile with research showing experimentally induced changes on implicit but not explicit measures. The present research tested a process-account of such asymmetrical patterns. Specifically, we argue that implicit measures show experimental effects that do not emerge on explicit measures when (a) the pairing of an attitude object with positive or negative valence creates new automatic associations in memory, and, at the same time, (b) the consideration of additional information about the attitude object eliminates the impact of automatic associations on self-reported evaluative judgments. Results from three studies support these predictions. Implications for research on attitude change are discussed.",attitude change; evaluative conditioning; implicit measures; introspection; mere ownership,,None to declare.,"Canada Research Chairs Program Grant (Canada, grant # 202555: B Gawronski), SSHRC (Canada, grant # 410-2005-1339: B Gawronski), Academic Development Fund (Canada, UWO, grant # 05-303: B Gawronski)",,,
"B Gawronski, EP LeBel, & KR Peters (2007)",2007,What do implicit measures tell us? Scrutinizing the validity of three common assumptions,Perspectives on Psychological Science,10.1111/j.1745-6916.2007.00036.x,https://etiennelebel.com/documents/glp2007pps.pdf,,,296,,,,,,"December 20, 2018",,,,,,,,conceptual,,,,,"Experimental paradigms designed to assess ‘implicit’ representations are currently very popular in many areas of psychology. The present article addresses the validity of three widespread assumptions in research using these paradigms: that (a) implicit measures reflect unconscious or introspectively inaccessible representations; (b) the major difference between implicit measures and self-reports is that implicit measures are resistant or less susceptible to social desirability; and (c) implicit measures reflect highly stable, older representations that have their roots in long-term socialization experiences. Drawing on a review of the available evidence, we conclude that the validity of all three assumptions is equivocal and that theoretical interpretations should be adjusted accordingly. We discuss an alternative conceptualization that distinguishes between activation and validation processes.",,,None to declare.,"Canada Research Chairs Program Grant (Canada, grant # 202555: B Gawronski), SSHRC (Canada, grant # 410-2005-1339: B Gawronski), Academic Development Fund (Canada, UWO, grant # 05-303: B Gawronski)",,,


measure_id,redcap_data_access_group,full_name,short_name,numerator_field,denominator_field,direction_higher,measure_information_complete
AA-1a,,Percent of all patient transport contacts with an advanced airway supported by a mechanical ventilator',Mech. vent - Overall,adv_airway_ventilator,adv_airway_cases,1,2
AA-1b,,Percent of Neonatal patient transport contacts with  an advanced airway supported by a mechanical ventilator,Mech. vent - Neo,neo_adv_airway_vent,neo_adv_airway_cases,1,2
AA-1c,,Percent of Pediatric patient transport contacts with an advanced airway supported by a mechanical ventilator,Mech. vent - Ped,ped_adv_airway_vent,ped_adv_airway_cases,1,2
AA-1d,,Percent of Adult patient transport contacts with an advanced airway supported by a mechanical ventilator',Mech. vent - Adult,adult_adv_airway_vent,adult_adv_airway_cases,1,2
AA-2a,,Percent of patient transport contacts with advanced airways  in whom continuous waveform capnography was used.,Capnography - Overall,adv_airway_wave_capno,adv_airway_cases,1,2
AA-2b,,Percent of Neonatal patient transport contacts with advanced airways  in whom continuous waveform capnography was used.,Capnography - Neo,neo_adv_airway_capno,neo_adv_airway_cases,1,2
AA-2c,,Percent of Pediatric patient transport contacts with advanced airways  in whom continuous waveform capnography was used,Capnography - Peds,ped_adv_airway_capno,ped_adv_airway_cases,1,2
AA-2d,,Percent of Adult patient transport contacts with advanced airways  in whom continuous waveform capnography was used,Capnography - Adult,adult_adv_airway_capno,adult_adv_airway_cases,1,2
AA-3a,,Percent of intubated patient transport contacts with documentation of confirmed tracheal tube placement.,Intubated patients with confirmation,adv_airway_tt_confirmed,adv_airway_tt_cases,1,2
IN-1a,,Percent of Neonatal transport contacts successfully intubated on the 1st attempt by the transport team,1st Intubation Success - Neo,intub_neo_first_success,intub_neo_attempts,1,2
IN-1b,,Percent of Pediatric transport contacts successfully intubated on the 1st attempt by the transport team,1st Intubation Success - Ped,intub_ped_first_success,intub_ped_attempts,1,2
IN-1c,,Percent of Adult transport contacts successfully intubated on the 1st attempt by the transport team,1st Intubation Success - Adult,intub_adult_first_success,intub_adult_attempts,1,2
IN-2a,,Percent of Neonatal patients with definitive airway during the 1st attempt by the transport team without suffering hypoxia or hypotension,1st Intubation DASH 1a - Neo,intub_neo_no_hypoxia,intub_neo_attempts,1,2
IN-2b,,Percent of Pediatric patients with definitive airway during the 1st attempt by the transport team without suffering hypoxia or hypotension,1st Intubation DASH 1a - Ped,intub_ped_no_hypoxia,intub_ped_attempts,1,2
IN-2c,,Percent of Adult patients with definitive airway during the 1st attempt by the transport team without suffering hypoxia or hypotension,1st Intubation DASH 1a - Adult,intub_adult_no_hypoxia,intub_adult_attempts,1,2
IN-3,,Percent of patient transport contacts undergoing RSI where all indicated elements of the program`s RSI protocol were completed.,RSI protocol adherence,intub_rsi_compliant,intub_rsi_cases,1,2
GT-1,,Percent of neonates found hypothermic upon admission,Neonatal Hypothermia,unintended_hypothermia,total_neo_patients,0,2
GT-2,,Percent of patient transport contacts with a documented pain assessment,Pain Assessment,pain_scale_used,total_patients,1,2
GT-3,,Number of HEMS patient transport contacts discharged without hospital admission per 1000 HEMS transports,HEMS ED overtriage,hems_ed_discharge,hems_cases,0,2
GT-4,,"CPR rate per 10,000 transports",CPR during transport,cpr_cases,total_patients,0,2
GT-5,,Percent of cases involving a standardized patient care hand-off,Standardized Handoff,standardized_handoffs,total_patients,1,2
SC-1,,"Percent of patient transport contacts with altered mental status or focal neurologic deficit with a documented blood glucose check""",Glucose check with altered mentation,alt_ment_bg_checks,alt_ment_cases,1,2
SC-2,,Percent of transport patient contacts with accurately interpreted 12-lead ECG evaluations,Accurate 12-lead evaluation,ecg_accurate_interpret,ecg_cases,1,2
SC-3,,Percent of transport patient contacts with hemorrhagic stroke and appropriate blood pressure management,Appropriate management of hemorrhagic stroke,hem_stroke_bp_managed,hem_stroke_cases,1,2
SC-4,,Percent of patient transport contacts with hemorrhagic shock appropriately managed,Appropriate management of hemorrhagic shock,hem_shock_managed,hem_shock_cases,1,2
SC-5,,Percent of patient transport contacts with known or suspected aortic dissection receiving indicated blood pressure and heart rate therapies,Appropriate management of aortic dissection,aortic_dissect_managed,aortic_dissect_cases,1,2
SE-1,,"Patient injuries per 10,000 patient transport contacts.",Patient injuries,patient_injuries,total_patients,0,2
SE-2,,"Crew injuries per 10,000 patient transport contacts.",Crew injuries,crew_injuries,total_patients,0,2
SE-3,,Medical equipment failures per 1000 patient transport contacts.,Medical equipment failures,med_equip_failure,total_patients,0,2
SE-4,,Unplanned dislodgements of therapeutic devices per 1000 patient transport contacts,Device dislodgment,dislodgements,total_patients,0,2
SE-5,,"Medication errors per 10,000 patient transport contacts.",Medication errors,medication_errors,total_patients,0,2
SE-6,,"Serious Reportable Events per 10,000 patient transport contacts",Serious Reportable Events,sre,total_patients,0,2
SE-7,,"Transport-related patient mishaps per 10,000 patient transport contacts",Near-miss Events,near_miss,total_patients,0,2
SE-8,,"Adverse drug events per 10,000 patient transport contacts",Adverse Drug Events,ade,total_patients,0,2
SE-9,,,,,,,


Type,Local Number,Message,Field 1,Value 1,Units 1,Field 2,Value 2,Units 2,Field 3,Value 3,Units 3,Field 4,Value 4,Units 4,Field 5,Value 5,Units 5,Field 6,Value 6,Units 6,Field 7,Value 7,Units 7,Field 8,Value 8,Units 8,Field 9,Value 9,Units 9,Field 10,Value 10,Units 10,Field 11,Value 11,Units 11,Field 12,Value 12,Units 12,Field 13,Value 13,Units 13,Field 14,Value 14,Units 14,Field 15,Value 15,Units 15,Field 16,Value 16,Units 16,Field 17,Value 17,Units 17,Field 18,Value 18,Units 18,Field 19,Value 19,Units 19,Field 20,Value 20,Units 20,Field 21,Value 21,Units 21,Field 22,Value 22,Units 22,Field 23,Value 23,Units 23,Field 24,Value 24,Units 24,Field 25,Value 25,Units 25,Field 26,Value 26,Units 26,Field 27,Value 27,Units 27,Field 28,Value 28,Units 28,Field 29,Value 29,Units 29,Field 30,Value 30,Units 30,Field 31,Value 31,Units 31,Field 32,Value 32,Units 32,Field 33,Value 33,Units 33,Field 34,Value 34,Units 34,Field 35,Value 35,Units 35,Field 36,Value 36,Units 36,Field 37,Value 37,Units 37,Field 38,Value 38,Units 38,Field 39,Value 39,Units 39,Field 40,Value 40,Units 40,Field 41,Value 41,Units 41,Field 42,Value 42,Units 42,Field 43,Value 43,Units 43,Field 44,Value 44,Units 44,Field 45,Value 45,Units 45,Field 46,Value 46,Units 46,Field 47,Value 47,Units 47,Field 48,Value 48,Units 48,Field 49,Value 49,Units 49,Field 50,Value 50,Units 50,Field 51,Value 51,Units 51,Field 52,Value 52,Units 52,Field 53,Value 53,Units 53,Field 54,Value 54,Units 54,Field 55,Value 55,Units 55,Field 56,Value 56,Units 56,Field 57,Value 57,Units 57,Field 58,Value 58,Units 58,Field 59,Value 59,Units 59,Field 60,Value 60,Units 60,Field 61,Value 61,Units 61,Field 62,Value 62,Units 62,Field 63,Value 63,Units 63,Field 64,Value 64,Units 64,Field 65,Value 65,Units 65,Field 66,Value 66,Units 66,Field 67,Value 67,Units 67,Field 68,Value 68,Units 68,
Definition,0,file_id,serial_number,1,,time_created,1,,unknown,1,,manufacturer,1,,product,1,,number,1,,type,1,,
Data,0,file_id,serial_number,"3932942223",,time_created,"866218215",,manufacturer,"1",,garmin_product,"2530",,type,"4",,,,,,,,
Definition,1,file_creator,software_version,1,,hardware_version,1,,,,,,,,,,,,,,,,,
Data,1,file_creator,software_version,"700",,,,,,,,,,,,,,,,,,,,
Definition,2,event,timestamp,1,,data,1,,event,1,,event_type,1,,event_group,1,,,,,,,,
Data,2,event,timestamp,"866218215",s,timer_trigger,"0",,event,"0",,event_type,"0",,event_group,"0",,,,,,,,
Definition,3,device_info,timestamp,1,,serial_number,1,,cum_operating_time,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,manufacturer,1,,product,1,,software_version,1,,battery_voltage,1,,device_index,1,,device_type,1,,hardware_version,1,,unknown,1,,battery_status,1,,ant_network,1,,source_type,1,,
Data,3,device_info,timestamp,"866218215",s,serial_number,"3932942223",,manufacturer,"1",,garmin_product,"2530",,software_version,"7.0",,device_index,"0",,source_type,"5",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,3,device_info,timestamp,"866218215",s,manufacturer,"1",,garmin_product,"2530",,software_version,"7.0",,device_index,"1",,device_type,"4",,source_type,"5",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,3,device_info,timestamp,"866218215",s,manufacturer,"1",,garmin_product,"1621",,software_version,"4.3",,device_index,"2",,device_type,"0",,source_type,"5",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,3,device_info,timestamp,"866218215",s,serial_number,"3945849289",,unknown,"95347",,unknown,"8918",,unknown,"24699337",,manufacturer,"1",,garmin_product,"255",,software_version,"154.0",,device_index,"3",,antplus_device_type,"120",,unknown,"91",,ant_network,"1",,source_type,"1",,,,,,,,,,,,,,,,,
Data,3,device_info,timestamp,"866218215",s,unknown,"116891",,unknown,"8964",,unknown,"24720989",,device_index,"4",,antplus_device_type,"121",,unknown,"93",,ant_network,"1",,source_type,"1",,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,3,device_info,timestamp,"866218215",s,manufacturer,"0",,product,"0",,software_version,"0.0",,device_index,"5",,device_type,"7",,source_type,"5",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Definition,4,unknown,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,,,,,,,,,,,,,,,,,,,,,,
Data,4,unknown,unknown,"866218215",,unknown,"4",,unknown,"4",,unknown,"4",,unknown,"1",,unknown,"3",,unknown,"3",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Definition,5,unknown,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,,,,,,,
Data,5,unknown,unknown,"866218215",,unknown,"0",,unknown,"680",,unknown,"4",,unknown,"122",,unknown,"255",,unknown,"0",,unknown,"0",,unknown,"37",,unknown,"175",,unknown,"1",,unknown,"70",,unknown,"183",,unknown,"1",,unknown,"60",,,,,,,,,,,
Definition,6,device_settings,utc_offset,1,,time_offset,1,,unknown,1,,active_time_zone,1,,unknown,1,,time_mode,1,,time_zone_offset,1,,unknown,1,,unknown,1,,backlight_mode,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,lactate_threshold_autodetect_enabled,1,,unknown,1,,number_of_screens,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,
Data,6,device_settings,utc_offset,"0",,time_offset,"0",s,active_time_zone,"0",,unknown,"0",,time_mode,"1",,time_zone_offset,"0.0",hr,unknown,"3",,unknown,"0",,backlight_mode,"3",,unknown,"0",,unknown,"60",,unknown,"50",,unknown,"1",,unknown,"0",,unknown,"254",,unknown,"0",,unknown,"0",,unknown,"1",,unknown,"1",,unknown,"0",,unknown,"1",,unknown,"1",,unknown,"0",,unknown,"1",,lactate_threshold_autodetect_enabled,"1",,unknown,"0",,unknown,"1",,unknown,"3",,,,,,,,,,,,,,,,,,,,,,,
Definition,7,user_profile,friendly_name,16,,wake_time,1,,sleep_time,1,,unknown,1,,unknown,1,,unknown,1,,weight,1,,user_running_step_length,1,,user_walking_step_length,1,,unknown,1,,unknown,1,,unknown,1,,gender,1,,age,1,,height,1,,language,1,,elev_setting,1,,weight_setting,1,,resting_heart_rate,1,,default_max_biking_heart_rate,1,,default_max_heart_rate,1,,hr_setting,1,,speed_setting,1,,dist_setting,1,,power_setting,1,,activity_class,1,,position_setting,1,,temperature_setting,1,,unknown,1,,height_setting,1,,unknown,1,,,,,,,,,,,,,,
Data,7,user_profile,friendly_name,"edge820",,wake_time,"25200",,sleep_time,"79200",,unknown,"866218203",,unknown,"-0.2857143",,weight,"68.0",kg,user_running_step_length,"0.0",m,user_walking_step_length,"0.0",m,unknown,"122",,unknown,"4",,gender,"1",,age,"38",years,height,"1.75",m,language,"0",,elev_setting,"0",,weight_setting,"0",,resting_heart_rate,"0",bpm,default_max_biking_heart_rate,"185",bpm,default_max_heart_rate,"185",bpm,hr_setting,"1",,speed_setting,"0",,dist_setting,"0",,power_setting,"1",,activity_class,"100",,position_setting,"0",,temperature_setting,"0",,unknown,"79",,height_setting,"0",,,,,,,,,,,,,,,,,,,,,,,
Definition,8,unknown,unknown,1,,unknown,16,,unknown,1,,unknown,4,,unknown,12,,unknown,4,,unknown,4,,unknown,4,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,7,,unknown,7,,unknown,7,,unknown,7,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,
Data,8,unknown,unknown,"24699337",,unknown,"57801",,unknown,"0",,unknown,"255",,unknown,"15400",,unknown,"0",,unknown,"1",,unknown,"0",,unknown,"1",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,8,unknown,unknown,"24720989",,unknown,"13917",,unknown,"1",,unknown,"2096",,unknown,"2073",,unknown,"0",,unknown,"1",,unknown,"0",,unknown,"0",,unknown,"1",,unknown,"125",,unknown,"1",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,8,unknown,unknown,"3245869700",,unknown,"789124",,unknown,"2",,unknown,"2327",,unknown,"1",,unknown,"3400",,unknown,"0",,unknown,"1",,unknown,"0",,unknown,"3",,unknown,"1",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Definition,9,sport,name,16,,unknown,1,,sport,1,,sub_sport,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,3,,unknown,1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,9,sport,name,"Commute|2|||",,unknown,"45",,sport,"2",,sub_sport,"48",,unknown,"1",,unknown,"0",,unknown,"0",,unknown,"0",,unknown,"0|118|190",,unknown,"9",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Definition,10,unknown,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,10,unknown,unknown,"500000",,unknown,"0",,unknown,"4167",,unknown,"1389",,unknown,"60",,unknown,"2778",,unknown,"0",,unknown,"6",,unknown,"0",,unknown,"3",,unknown,"0",,unknown,"1",,unknown,"0",,unknown,"0",,unknown,"1",,unknown,"1",,unknown,"2",,unknown,"1",,unknown,"2",,unknown,"0",,unknown,"1",,unknown,"1",,unknown,"1",,unknown,"0",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Definition,11,zones_target,functional_threshold_power,1,,unknown,1,,max_heart_rate,1,,threshold_heart_rate,1,,hr_calc_type,1,,pwr_calc_type,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,11,zones_target,functional_threshold_power,"400",,max_heart_rate,"183",,hr_calc_type,"1",,pwr_calc_type,"0",,unknown,"1",,unknown,"9",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Definition,12,record,timestamp,1,,position_lat,1,,position_long,1,,distance,1,,altitude,1,,speed,1,,unknown,1,,unknown,1,,heart_rate,1,,cadence,1,,temperature,1,,fractional_cadence,1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218215",s,position_lat,"446375435",semicircles,position_long,"-1456338541",semicircles,distance,"6.95",m,altitude,"-17.600000000000023",m,speed,"6.951",m/s,unknown,"2412",,unknown,"104",,heart_rate,"101",bpm,cadence,"69",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.600000000000023",m,enhanced_speed,"6.951",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Definition,13,hrv,time,5,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.594|0.588|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.588|0.588|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Definition,14,unknown,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,14,unknown,unknown,"866218217",,unknown,"3898",,unknown,"76",,unknown,"18",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.582|0.582|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.582|65535|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218220",s,position_lat,"446379221",semicircles,position_long,"-1456338592",semicircles,distance,"41.58",m,altitude,"-17.80000000000001",m,speed,"6.867",m/s,unknown,"2412",,unknown,"105",,heart_rate,"104",bpm,cadence,"68",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.80000000000001",m,enhanced_speed,"6.867",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.576|0.576|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.576|0.576|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218222",s,position_lat,"446380702",semicircles,position_long,"-1456338600",semicircles,distance,"55.26",m,altitude,"-17.80000000000001",m,speed,"6.793",m/s,unknown,"2412",,unknown,"106",,heart_rate,"108",bpm,cadence,"68",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.80000000000001",m,enhanced_speed,"6.793",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.555|0.555|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218223",s,position_lat,"446381439",semicircles,position_long,"-1456338509",semicircles,distance,"62.11",m,altitude,"-17.600000000000023",m,speed,"6.858",m/s,unknown,"2413",,unknown,"106",,heart_rate,"111",bpm,cadence,"67",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.600000000000023",m,enhanced_speed,"6.858",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.54|0.54|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218224",s,position_lat,"446382175",semicircles,position_long,"-1456338439",semicircles,distance,"68.95",m,altitude,"-17.600000000000023",m,speed,"6.839",m/s,unknown,"2413",,unknown,"106",,heart_rate,"114",bpm,cadence,"68",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.600000000000023",m,enhanced_speed,"6.839",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.525|65535|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218225",s,position_lat,"446382913",semicircles,position_long,"-1456338404",semicircles,distance,"75.77",m,altitude,"-17.80000000000001",m,speed,"6.821",m/s,unknown,"2413",,unknown,"107",,heart_rate,"114",bpm,cadence,"67",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.80000000000001",m,enhanced_speed,"6.821",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.525|0.525|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218234",s,position_lat,"446389555",semicircles,position_long,"-1456338298",semicircles,distance,"137.8",m,altitude,"-17.399999999999977",m,speed,"6.979",m/s,unknown,"2415",,unknown,"108",,heart_rate,"115",bpm,cadence,"68",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.399999999999977",m,enhanced_speed,"6.979",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|65535|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.517|0.517|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.517|0.517|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.513|0.513|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218243",s,position_lat,"446396367",semicircles,position_long,"-1456338184",semicircles,distance,"200.84",m,altitude,"-17.19999999999999",m,speed,"7.101",m/s,unknown,"2417",,unknown,"111",,heart_rate,"118",bpm,cadence,"70",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.19999999999999",m,enhanced_speed,"7.101",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.508|0.508|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218244",s,position_lat,"446397136",semicircles,position_long,"-1456338169",semicircles,distance,"208.04",m,altitude,"-17.19999999999999",m,speed,"7.194",m/s,unknown,"2417",,unknown,"111",,heart_rate,"118",bpm,cadence,"70",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.19999999999999",m,enhanced_speed,"7.194",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.508|0.508|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218253",s,position_lat,"446403989",semicircles,position_long,"-1456338084",semicircles,distance,"270.99",m,altitude,"-17.19999999999999",m,speed,"6.961",m/s,unknown,"2418",,unknown,"114",,heart_rate,"119",bpm,cadence,"68",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.19999999999999",m,enhanced_speed,"6.961",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218262",s,position_lat,"446410804",semicircles,position_long,"-1456338040",semicircles,distance,"333.88",m,altitude,"-17.19999999999999",m,speed,"6.895",m/s,unknown,"2419",,unknown,"115",,heart_rate,"119",bpm,cadence,"68",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.19999999999999",m,enhanced_speed,"6.895",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|65535|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.5|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.5|0.495|0.495|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.495|65535|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.99|65535|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.99|0.495|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.495|0.495|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218271",s,position_lat,"446417518",semicircles,position_long,"-1456338079",semicircles,distance,"395.95",m,altitude,"-17.600000000000023",m,speed,"6.961",m/s,unknown,"2418",,unknown,"119",,heart_rate,"121",bpm,cadence,"69",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.600000000000023",m,enhanced_speed,"6.961",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.495|0.495|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.504|0.504|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218273",s,position_lat,"446419029",semicircles,position_long,"-1456338102",semicircles,distance,"409.82",m,altitude,"-17.80000000000001",m,speed,"6.914",m/s,unknown,"2418",,unknown,"120",,heart_rate,"118",bpm,cadence,"69",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.80000000000001",m,enhanced_speed,"6.914",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.508|0.508|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.517|0.517|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.517|0.517|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218276",s,position_lat,"446421280",semicircles,position_long,"-1456338109",semicircles,distance,"430.39",m,altitude,"-17.80000000000001",m,speed,"6.849",m/s,unknown,"2418",,unknown,"120",,heart_rate,"115",bpm,cadence,"68",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.80000000000001",m,enhanced_speed,"6.849",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|65535|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Definition,15,unknown,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,15,unknown,unknown,"866218279",,unknown,"83486",,unknown,"83486",,unknown,"576353",,unknown,"546495",,unknown,"0",,unknown,"4",,unknown,"4423",,unknown,"0",,unknown,"0",,unknown,"0",,unknown,"115",,unknown,"0",,unknown,"0",,unknown,"2",,unknown,"48",,unknown,"0",,unknown,"0",,unknown,"100",,unknown,"0",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,2,event,timestamp,"866218279",s,data,"4",,event,"38",,event_type,"3",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,12,record,timestamp,"866218280",s,position_lat,"446424211",semicircles,position_long,"-1456338151",semicircles,distance,"457.12",m,altitude,"-17.80000000000001",m,speed,"6.653",m/s,unknown,"2418",,unknown,"120",,heart_rate,"115",bpm,cadence,"66",rpm,temperature,"13",C,fractional_cadence,"0.0",rpm,enhanced_altitude,"-17.80000000000001",m,enhanced_speed,"6.653",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,2,event,timestamp,"866218280",s,timer_trigger,"0",,event,"0",,event_type,"4",,event_group,"0",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,3,device_info,timestamp,"866218280",s,serial_number,"3932942223",,manufacturer,"1",,garmin_product,"2530",,software_version,"7.0",,device_index,"0",,source_type,"5",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,3,device_info,timestamp,"866218280",s,manufacturer,"1",,garmin_product,"2530",,software_version,"7.0",,device_index,"1",,device_type,"4",,source_type,"5",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,3,device_info,timestamp,"866218280",s,manufacturer,"1",,garmin_product,"1621",,software_version,"4.3",,device_index,"2",,device_type,"0",,source_type,"5",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,3,device_info,timestamp,"866218280",s,serial_number,"3945849289",,unknown,"95581",,unknown,"8942",,unknown,"24699337",,manufacturer,"1",,garmin_product,"255",,software_version,"154.0",,device_index,"3",,antplus_device_type,"120",,unknown,"91",,ant_network,"1",,source_type,"1",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,3,device_info,timestamp,"866218280",s,unknown,"117102",,unknown,"9011",,unknown,"24720989",,device_index,"4",,antplus_device_type,"121",,unknown,"93",,ant_network,"1",,source_type,"1",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,3,device_info,timestamp,"866218280",s,manufacturer,"0",,product,"0",,software_version,"0.0",,device_index,"5",,device_type,"7",,source_type,"5",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,13,hrv,time,"0.521|0.521|65535|65535|65535",s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Definition,0,lap,timestamp,1,,start_time,1,,start_position_lat,1,,start_position_long,1,,end_position_lat,1,,end_position_long,1,,total_elapsed_time,1,,total_timer_time,1,,total_distance,1,,total_cycles,1,,unknown,1,,unknown,1,,unknown,1,,unknown,1,,total_work,1,,time_in_hr_zone,7,,time_in_power_zone,10,,time_standing,1,,avg_left_power_phase,4,,avg_left_power_phase_peak,4,,avg_right_power_phase,4,,avg_right_power_phase_peak,4,,avg_power_position,2,,max_power_position,2,,message_index,1,,total_calories,1,,total_fat_calories,1,,avg_speed,1,,max_speed,1,,avg_power,1,,max_power,1,,total_ascent,1,,total_descent,1,,normalized_power,1,,left_right_balance,1,,unknown,1,,unknown,1,,stand_count,1,,event,1,,event_type,1,,avg_heart_rate,1,,max_heart_rate,1,,avg_cadence,1,,max_cadence,1,,intensity,1,,lap_trigger,1,,sport,1,,event_group,1,,sub_sport,1,,unknown,1,,avg_fractional_cadence,1,,max_fractional_cadence,1,,total_fractional_cycles,1,,avg_left_torque_effectiveness,1,,avg_right_torque_effectiveness,1,,avg_left_pedal_smoothness,1,,avg_right_pedal_smoothness,1,,avg_combined_pedal_smoothness,1,,avg_left_pco,1,,avg_right_pco,1,,avg_cadence_position,2,,max_cadence_position,2,,
Data,0,lap,timestamp,"866218282",s,start_time,"866218215",,start_position_lat,"446375435",semicircles,start_position_long,"-1456338541",semicircles,end_position_lat,"446424211",semicircles,end_position_long,"-1456338151",semicircles,total_elapsed_time,"64.524",s,total_timer_time,"64.524",s,total_distance,"457.12",m,total_cycles,"75",cycles,unknown,"446424211",,unknown,"-1456338024",,unknown,"446375435",,unknown,"-1456338632",,time_in_hr_zone,"0.0|7.401|57.123|0.0|0.0|0.0|0.0",s,message_index,"0",,total_calories,"8",kcal,total_fat_calories,"0",kcal,avg_speed,"7.084",m/s,max_speed,"7.194",m/s,total_ascent,"0",m,total_descent,"0",m,event,"9",,event_type,"1",,avg_heart_rate,"116",bpm,max_heart_rate,"121",bpm,avg_cadence,"68",rpm,max_cadence,"71",rpm,lap_trigger,"7",,sport,"2",,sub_sport,"48",,avg_fractional_cadence,"0.3203125",rpm,max_fractional_cadence,"0.0",rpm,enhanced_avg_speed,"7.084",m/s,enhanced_max_speed,"7.194",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Definition,1,session,timestamp,1,,start_time,1,,start_position_lat,1,,start_position_long,1,,total_elapsed_time,1,,total_timer_time,1,,total_distance,1,,total_cycles,1,,nec_lat,1,,nec_long,1,,swc_lat,1,,swc_long,1,,total_work,1,,time_in_hr_zone,7,,time_in_power_zone,10,,unknown,16,,time_standing,1,,avg_left_power_phase,4,,avg_left_power_phase_peak,4,,avg_right_power_phase,4,,avg_right_power_phase_peak,4,,avg_power_position,2,,max_power_position,2,,message_index,1,,total_calories,1,,total_fat_calories,1,,avg_speed,1,,max_speed,1,,avg_power,1,,max_power,1,,total_ascent,1,,total_descent,1,,first_lap_index,1,,num_laps,1,,normalized_power,1,,training_stress_score,1,,intensity_factor,1,,left_right_balance,1,,threshold_power,1,,unknown,1,,unknown,1,,unknown,1,,stand_count,1,,event,1,,event_type,1,,sport,1,,sub_sport,1,,avg_heart_rate,1,,max_heart_rate,1,,avg_cadence,1,,max_cadence,1,,event_group,1,,trigger,1,,unknown,1,,avg_fractional_cadence,1,,max_fractional_cadence,1,,total_fractional_cycles,1,,avg_left_torque_effectiveness,1,,avg_right_torque_effectiveness,1,,avg_left_pedal_smoothness,1,,avg_right_pedal_smoothness,1,,avg_combined_pedal_smoothness,1,,unknown,1,,sport_index,1,,avg_left_pco,1,,avg_right_pco,1,,avg_cadence_position,2,,max_cadence_position,2,,
Data,1,session,timestamp,"866218282",s,start_time,"866218215",,start_position_lat,"446375435",semicircles,start_position_long,"-1456338541",semicircles,total_elapsed_time,"64.524",s,total_timer_time,"64.524",s,total_distance,"457.12",m,total_cycles,"75",cycles,nec_lat,"446424211",semicircles,nec_long,"-1456338024",semicircles,swc_lat,"446375435",semicircles,swc_long,"-1456338632",semicircles,time_in_hr_zone,"0.0|7.401|57.123|0.0|0.0|0.0|0.0",s,unknown,"Commute",,message_index,"0",,total_calories,"8",kcal,total_fat_calories,"0",kcal,avg_speed,"7.084",m/s,max_speed,"7.194",m/s,total_ascent,"0",m,total_descent,"0",m,first_lap_index,"0",,num_laps,"1",,unknown,"0",,event,"9",,event_type,"1",,sport,"2",,sub_sport,"48",,avg_heart_rate,"116",bpm,max_heart_rate,"121",bpm,avg_cadence,"68",rpm,max_cadence,"71",rpm,trigger,"0",,unknown,"0",,avg_fractional_cadence,"0.3203125",rpm,max_fractional_cadence,"0.0",rpm,enhanced_avg_speed,"7.084",m/s,enhanced_max_speed,"7.194",m/s,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Definition,4,activity,timestamp,1,,total_timer_time,1,,local_timestamp,1,,num_sessions,1,,type,1,,event,1,,event_type,1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Data,4,activity,timestamp,"866218282",,total_timer_time,"64.524",s,local_timestamp,"866193082",,num_sessions,"1",,type,"0",,event,"26",,event_type,"1",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,


file_name,package,minor,major,total,ownership,num_of_bugs
Direct16.java,org.apache.lucene.util.packed,0.0,1.2,2,0.5,0
PhraseQuery.java,org.apache.lucene.search,0.0,2.0,3,0.54,24
FreqProxFields.java,org.apache.lucene.index,0.0,2.4,3,0.7000000000000001,6
DocValuesProducer.java,org.apache.lucene.codecs,0.0,1.2,2,0.8333333333333334,0
NumericRangeQuery.java,org.apache.lucene.search,0.0,2.4,3,0.3333333333333333,3
CompressingTermVectorsWriter.java,org.apache.lucene.codecs.compressing,0.0,3.5999999999999996,4,0.7777777777777778,0
IndexFileNames.java,org.apache.lucene.index,0.0,2.4,3,0.6,0
Filter.java,org.apache.lucene.search,0.0,0.0,1,1.0,5
SpanTermQuery.java,org.apache.lucene.search.spans,0.0,2.4,3,0.3,9
NumericTokenStream.java,org.apache.lucene.analysis,0.0,2.4,3,0.5,0
Lucene50NormsFormat.java,org.apache.lucene.codecs.lucene50,0.0,1.2,2,0.75,1
BlockTreeTermsReader.java,org.apache.lucene.codecs.blocktree,0.0,4.8,5,0.4210526315789473,0
SpanMultiTermQueryWrapper.java,org.apache.lucene.search.spans,0.0,1.2,2,0.6666666666666666,0
StoredFieldsReader.java,org.apache.lucene.codecs,0.0,2.4,3,0.5,0
BufferedChecksum.java,org.apache.lucene.store,0.0,0.0,1,1.0,0
SegmentCommitInfo.java,org.apache.lucene.index,0.0,2.4,3,0.5,4
Field.java,org.apache.lucene.document,0.0,2.4,3,0.6666666666666666,1
SlowCompositeReaderWrapper.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.5454545454545454,2
PackedTokenAttributeImpl.java,org.apache.lucene.analysis.tokenattributes,0.0,0.0,1,1.0,0
StatePair.java,org.apache.lucene.util.automaton,0.0,0.0,1,1.0,0
BufferedUpdatesStream.java,org.apache.lucene.index,0.0,4.8,5,0.3636363636363636,3
SimpleFSLockFactory.java,org.apache.lucene.store,0.0,2.4,3,0.4285714285714285,4
DelegatingAnalyzerWrapper.java,org.apache.lucene.analysis,0.0,0.0,1,1.0,0
MonotonicLongValues.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
Constants.java,org.apache.lucene.util,0.0,1.2,2,0.6,1
Operations.java,org.apache.lucene.util.automaton,0.0,2.4,3,0.75,0
ScoreCachingWrappingScorer.java,org.apache.lucene.search,0.0,2.4,3,0.3333333333333333,0
MinimizationOperations.java,org.apache.lucene.util.automaton,0.0,1.2,2,0.8,0
SortedNumericSortField.java,org.apache.lucene.search,0.0,1.2,2,0.5,1
FieldReader.java,org.apache.lucene.codecs.blocktree,0.0,3.5999999999999996,4,0.3846153846153846,0
SortedDocValuesWriter.java,org.apache.lucene.index,0.0,1.2,2,0.5,0
TwoPhaseCommitTool.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
AttributeFactory.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
CachingCollector.java,org.apache.lucene.search,0.0,2.4,3,0.6,1
Outputs.java,org.apache.lucene.util.fst,0.0,2.4,3,0.5,0
PackedReaderIterator.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
ForwardBytesReader.java,org.apache.lucene.util.fst,0.0,0.0,1,1.0,0
MergedPrefixCodedTermsIterator.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
MutableValueLong.java,org.apache.lucene.util.mutable,0.0,0.0,1,1.0,0
IndexDocument.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
UpgradeIndexMergePolicy.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.4,0
DirectPacked64SingleBlockReader.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
FieldsProducer.java,org.apache.lucene.codecs,0.0,1.2,2,0.6666666666666666,0
Tokenizer.java,org.apache.lucene.analysis,0.0,1.2,2,0.6666666666666666,0
CompressingTermVectorsReader.java,org.apache.lucene.codecs.compressing,0.0,1.2,2,0.78,7
CheckIndex.java,org.apache.lucene.index,3.0,2.0,6,0.3648648648648648,18
FieldInfosFormat.java,org.apache.lucene.codecs,0.0,0.0,1,1.0,0
SortedSetDocValues.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
Version.java,org.apache.lucene.util,0.0,6.0,6,0.2777777777777778,2
TrackingIndexWriter.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,0
SparseFixedBitSet.java,org.apache.lucene.util,0.0,1.2,2,0.8,1
ArrayUtil.java,org.apache.lucene.util,0.0,1.2,2,0.6666666666666666,0
NoLockFactory.java,org.apache.lucene.store,0.0,1.2,2,0.5,2
IndexOutput.java,org.apache.lucene.store,0.0,1.2,2,0.5,0
BinaryDocValuesWriter.java,org.apache.lucene.index,0.0,2.4,3,0.5,0
DisjunctionScorer.java,org.apache.lucene.search,0.0,0.0,1,1.0,2
LongBitSet.java,org.apache.lucene.util,0.0,1.2,2,0.6666666666666666,4
SegmentTermsEnumFrame.java,org.apache.lucene.codecs.blocktree,0.0,1.2,2,0.875,0
Accountable.java,org.apache.lucene.util,0.0,1.2,2,0.6,0
EliasFanoDecoder.java,org.apache.lucene.util.packed,0.0,1.2,2,0.5,0
UnicodeUtil.java,org.apache.lucene.util,0.0,3.5999999999999996,4,0.3333333333333333,0
DefaultSimilarity.java,org.apache.lucene.search.similarities,0.0,0.0,1,1.0,2
RAMFile.java,org.apache.lucene.store,0.0,1.2,2,0.75,0
DocValuesDocIdSet.java,org.apache.lucene.search,0.0,1.2,2,0.8571428571428571,0
LogMergePolicy.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.3333333333333333,0
CompressingTermVectorsFormat.java,org.apache.lucene.codecs.compressing,0.0,0.0,1,1.0,0
MinShouldMatchSumScorer.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
IndexReader.java,org.apache.lucene.index,0.0,4.8,5,0.2857142857142857,0
CharsRefBuilder.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
MergedIterator.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
PackedInts.java,org.apache.lucene.util.packed,0.0,1.2,2,0.5454545454545454,1
IndexWriter.java,org.apache.lucene.index,6.0,2.0,9,0.41,24
StringHelper.java,org.apache.lucene.util,0.0,3.5999999999999996,4,0.6,2
PositiveScoresOnlyCollector.java,org.apache.lucene.search,0.0,1.2,2,0.5,0
MultiLevelSkipListWriter.java,org.apache.lucene.codecs,0.0,0.0,1,1.0,0
DocTermOrdsRangeFilter.java,org.apache.lucene.search,0.0,1.2,2,0.6666666666666666,0
Lucene50StoredFieldsFormat.java,org.apache.lucene.codecs.lucene50,0.0,0.0,1,1.0,1
LogByteSizeMergePolicy.java,org.apache.lucene.index,0.0,0.0,1,1.0,2
SetOnce.java,org.apache.lucene.util,0.0,1.2,2,0.5,0
IntsRef.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
MultiSimilarity.java,org.apache.lucene.search.similarities,0.0,0.0,1,1.0,2
SearcherManager.java,org.apache.lucene.search,0.0,1.2,2,0.6666666666666666,0
FlushPolicy.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
TermContext.java,org.apache.lucene.index,0.0,1.2,2,0.5,4
ScoringRewrite.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
TokenStream.java,org.apache.lucene.analysis,0.0,1.2,2,0.6666666666666666,1
DirectPackedReader.java,org.apache.lucene.util.packed,0.0,1.2,2,0.6666666666666666,0
SegmentCoreReaders.java,org.apache.lucene.index,0.0,4.8,5,0.625,0
LongValues.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
RandomAccessOrds.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
FieldTermIterator.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
IndexableFieldType.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
FilterLeafCollector.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
ReqOptSumScorer.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
FSDirectory.java,org.apache.lucene.store,2.4,2.4,5,0.4285714285714285,4
FilterLeafReader.java,org.apache.lucene.index,0.0,2.4,3,0.36,6
IndexSearcher.java,org.apache.lucene.search,0.0,3.5999999999999996,4,0.3636363636363636,5
BulkScorer.java,org.apache.lucene.search,0.0,1.2,2,0.6666666666666666,0
NormsConsumer.java,org.apache.lucene.codecs,0.0,2.4,3,0.5,0
BytesRefFSTEnum.java,org.apache.lucene.util.fst,0.0,0.0,1,1.0,0
SortedSetDocValuesWriter.java,org.apache.lucene.index,0.0,2.4,3,0.3333333333333333,0
QueryBuilder.java,org.apache.lucene.util,0.0,1.2,2,0.5,2
WildcardQuery.java,org.apache.lucene.search,0.0,2.4,3,0.6666666666666666,0
Directory.java,org.apache.lucene.store,0.0,3.5999999999999996,4,0.7,4
Packed64.java,org.apache.lucene.util.packed,0.0,1.2,2,0.6666666666666666,0
ControlledRealTimeReopenThread.java,org.apache.lucene.search,0.0,1.2,2,0.5,0
SortedNumericDocValuesField.java,org.apache.lucene.document,0.0,1.2,2,0.6666666666666666,0
MergePolicy.java,org.apache.lucene.index,0.0,6.0,6,0.4666666666666667,0
LogDocMergePolicy.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
CharsRef.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
NodeHash.java,org.apache.lucene.util.fst,0.0,1.2,2,0.5,0
Util.java,org.apache.lucene.util.fst,0.0,3.5999999999999996,4,0.4,2
MappingMultiDocsAndPositionsEnum.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
Lucene50CompoundReader.java,org.apache.lucene.codecs.lucene50,0.0,1.2,2,0.8,2
ParallelLeafReader.java,org.apache.lucene.index,0.0,2.4,3,0.5,0
BinaryDocValuesField.java,org.apache.lucene.document,0.0,0.0,1,1.0,0
Lucene50DocValuesProducer.java,org.apache.lucene.codecs.lucene50,0.0,1.2,2,0.75,0
PositiveIntOutputs.java,org.apache.lucene.util.fst,0.0,0.0,1,1.0,0
PersistentSnapshotDeletionPolicy.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,0
AlreadyClosedException.java,org.apache.lucene.store,0.0,0.0,1,1.0,0
NumericUtils.java,org.apache.lucene.util,0.0,3.5999999999999996,4,0.5714285714285714,0
IndexFormatTooNewException.java,org.apache.lucene.index,0.0,1.2,2,0.5,0
ParallelCompositeReader.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
AttributeSource.java,org.apache.lucene.util,0.0,2.4,3,0.4285714285714285,0
Term.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
IntsRefBuilder.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
FilterCodec.java,org.apache.lucene.codecs,0.0,0.0,1,1.0,0
CompoundFormat.java,org.apache.lucene.codecs,0.0,1.2,2,0.8333333333333334,0
OfflineSorter.java,org.apache.lucene.util,0.0,3.5999999999999996,4,0.5714285714285714,0
LockVerifyServer.java,org.apache.lucene.store,0.0,0.0,1,1.0,0
LeafReader.java,org.apache.lucene.index,0.0,2.4,3,0.5,5
NumericDocValuesField.java,org.apache.lucene.document,0.0,0.0,1,1.0,0
BufferedChecksumIndexInput.java,org.apache.lucene.store,0.0,1.2,2,0.6666666666666666,0
BitUtil.java,org.apache.lucene.util,0.0,1.2,2,0.6666666666666666,0
TopTermsRewrite.java,org.apache.lucene.search,0.0,1.2,2,0.5,0
MultiDocsAndPositionsEnum.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
SpanNearQuery.java,org.apache.lucene.search.spans,0.0,2.4,3,0.5,2
FilterSpans.java,org.apache.lucene.search.spans,0.0,0.0,1,0.9,8
DocsEnum.java,org.apache.lucene.index,0.0,0.0,1,1.0,1
RegexpQuery.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
StrictStringTokenizer.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
IntsRefFSTEnum.java,org.apache.lucene.util.fst,0.0,0.0,1,1.0,0
CharSequenceOutputs.java,org.apache.lucene.util.fst,0.0,0.0,1,1.0,0
TermQuery.java,org.apache.lucene.search,0.0,1.0,2,0.45,10
NIOFSDirectory.java,org.apache.lucene.store,0.0,1.2,2,0.6666666666666666,2
FieldValueFilter.java,org.apache.lucene.search,0.0,2.4,3,0.5,0
AutomatonProvider.java,org.apache.lucene.util.automaton,0.0,0.0,1,1.0,0
PriorityQueue.java,org.apache.lucene.util,0.0,1.2,2,0.75,0
FuzzyQuery.java,org.apache.lucene.search,0.0,1.2,2,0.6666666666666666,0
Lucene50NormsProducer.java,org.apache.lucene.codecs.lucene50,0.0,2.4,3,0.7142857142857143,0
Direct64.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
FakeScorer.java,org.apache.lucene.search,0.0,1.2,2,0.6666666666666666,0
MatchAllDocsQuery.java,org.apache.lucene.search,0.0,2.4,3,0.3333333333333333,3
SpanPositionCheckQuery.java,org.apache.lucene.search.spans,0.0,1.0,2,0.45,10
MultiCollector.java,org.apache.lucene.search,0.0,1.2,2,0.6666666666666666,1
RamUsageEstimator.java,org.apache.lucene.util,0.0,1.2,2,0.625,1
SimpleFSDirectory.java,org.apache.lucene.store,0.0,1.2,2,0.6,2
PackedLongValues.java,org.apache.lucene.util.packed,0.0,1.2,2,0.6666666666666666,0
DocValuesRewriteMethod.java,org.apache.lucene.search,0.0,1.2,2,0.5,1
InfoStream.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
IndexDeletionPolicy.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
NoOutputs.java,org.apache.lucene.util.fst,0.0,1.2,2,0.5,0
PerFieldPostingsFormat.java,org.apache.lucene.codecs.perfield,0.0,3.5999999999999996,4,0.5454545454545454,0
SpanNotQuery.java,org.apache.lucene.search.spans,0.0,1.2,2,0.6,6
SpanWeight.java,org.apache.lucene.search.spans,0.0,2.4,3,0.3,9
BlockPackedReader.java,org.apache.lucene.util.packed,0.0,1.2,2,0.5,0
FuzzyTermsEnum.java,org.apache.lucene.search,0.0,2.4,3,0.7142857142857143,0
DoubleDocValuesField.java,org.apache.lucene.document,0.0,1.2,2,0.5,0
Lucene50SkipReader.java,org.apache.lucene.codecs.lucene50,0.0,1.2,2,0.5,0
CompressionTools.java,org.apache.lucene.document,0.0,0.0,1,1.0,0
Automata.java,org.apache.lucene.util.automaton,0.0,1.2,2,0.6666666666666666,0
PostingsReaderBase.java,org.apache.lucene.codecs,0.0,2.4,3,0.4,0
TotalHitCountCollector.java,org.apache.lucene.search,0.0,0.0,1,1.0,1
SegmentWriteState.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,0
BooleanQuery.java,org.apache.lucene.search,0.0,4.8,5,0.4235294117647058,7
Weight.java,org.apache.lucene.search,0.0,2.4,3,0.6363636363636364,1
SortField.java,org.apache.lucene.search,0.0,2.4,3,0.5,0
ByteRunAutomaton.java,org.apache.lucene.util.automaton,0.0,0.0,1,1.0,0
DocumentsWriterFlushQueue.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,0
Direct8.java,org.apache.lucene.util.packed,0.0,1.2,2,0.5,0
PrintStreamInfoStream.java,org.apache.lucene.util,0.0,0.0,1,0.9,6
MultiTermsEnum.java,org.apache.lucene.index,0.0,0.0,1,1.0,2
SearcherLifetimeManager.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
MultiDocValues.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.4736842105263157,0
SpanOrQuery.java,org.apache.lucene.search.spans,0.0,1.2,2,0.6666666666666666,4
PostingsFormat.java,org.apache.lucene.codecs,0.0,0.0,1,1.0,2
ByteSequenceOutputs.java,org.apache.lucene.util.fst,0.0,2.4,3,0.6,0
SimpleFieldComparator.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
DocumentsWriterFlushControl.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.3999999999999999,6
ReaderUtil.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
DocumentsWriterPerThread.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.5,6
DataOutput.java,org.apache.lucene.store,0.0,1.2,2,0.5,3
Token.java,org.apache.lucene.analysis,0.0,1.2,2,0.6666666666666666,1
DirectReader.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
PagedBytes.java,org.apache.lucene.util,0.0,1.2,2,0.5714285714285714,0
DisjunctionMaxQuery.java,org.apache.lucene.search,0.0,2.4,3,0.5,5
Lucene50PostingsFormat.java,org.apache.lucene.codecs.lucene50,0.0,1.2,2,0.6,1
SortedNumericDocValuesWriter.java,org.apache.lucene.index,0.0,1.2,2,0.5,0
TermCollectingRewrite.java,org.apache.lucene.search,0.0,1.2,2,0.5,0
RegExp.java,org.apache.lucene.util.automaton,0.0,1.2,2,0.6666666666666666,1
TextField.java,org.apache.lucene.document,0.0,0.0,1,1.0,0
FieldInfo.java,org.apache.lucene.index,0.0,1.2,2,0.6428571428571429,0
DefaultIndexingChain.java,org.apache.lucene.index,1.2,1.2,3,0.5294117647058824,3
DocValues.java,org.apache.lucene.index,0.0,2.4,3,0.625,0
Automaton.java,org.apache.lucene.util.automaton,0.0,1.2,2,0.8461538461538461,0
CharacterRunAutomaton.java,org.apache.lucene.util.automaton,0.0,0.0,1,1.0,0
NearSpansOrdered.java,org.apache.lucene.search.spans,0.0,2.4,3,0.3333333333333333,4
NumericRangeFilter.java,org.apache.lucene.search,0.0,1.2,2,0.5,0
ConcurrentMergeScheduler.java,org.apache.lucene.index,0.0,2.4,3,0.7857142857142857,5
Lucene50SegmentInfoFormat.java,org.apache.lucene.codecs.lucene50,0.0,1.2,2,0.7777777777777778,1
ConjunctionScorer.java,org.apache.lucene.search,0.0,0.0,1,1.0,2
SortedSetSelector.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
TermVectorsConsumer.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,0
MonotonicBlockPackedWriter.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
OrdTermState.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
CompositeReader.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
TieredMergePolicy.java,org.apache.lucene.index,0.0,4.8,5,0.4444444444444444,0
Scorer.java,org.apache.lucene.search,0.0,1.2,2,0.5,0
DocValuesTermsFilter.java,org.apache.lucene.search,0.0,1.2,2,0.5,1
QueryRescorer.java,org.apache.lucene.search,0.0,2.4,3,0.5,3
NamedSPILoader.java,org.apache.lucene.util,0.0,1.2,2,0.5,2
Sort.java,org.apache.lucene.search,0.0,1.2,2,0.5,1
DocValuesType.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,0
SloppyMath.java,org.apache.lucene.util,0.0,1.2,2,0.5,0
Codec.java,org.apache.lucene.codecs,0.0,0.0,1,1.0,2
Rescorer.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
TopFieldCollector.java,org.apache.lucene.search,0.0,3.5999999999999996,4,0.5,2
NormsProducer.java,org.apache.lucene.codecs,0.0,0.0,1,1.0,0
SpanQuery.java,org.apache.lucene.search.spans,0.0,1.2,2,0.5,4
MutableValueDate.java,org.apache.lucene.util.mutable,0.0,0.0,1,1.0,0
TermVectorsConsumerPerField.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
MutableValueFloat.java,org.apache.lucene.util.mutable,0.0,0.0,1,1.0,0
MultiTermQuery.java,org.apache.lucene.search,0.0,1.2,2,0.5,2
SortedDocValuesTermsEnum.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,0
IntField.java,org.apache.lucene.document,0.0,2.4,3,0.6,0
MatchingReaders.java,org.apache.lucene.codecs.compressing,0.0,2.4,3,0.6,0
PayloadTermQuery.java,org.apache.lucene.search.payloads,0.0,1.2,2,0.45,8
LevenshteinAutomata.java,org.apache.lucene.util.automaton,0.0,1.2,2,0.8571428571428571,1
StandardDirectoryReader.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.4444444444444444,4
MultiLevelSkipListReader.java,org.apache.lucene.codecs,0.0,0.0,1,1.0,0
DocumentsWriter.java,org.apache.lucene.index,0.0,3.0,4,0.4235294117647058,14
RoaringDocIdSet.java,org.apache.lucene.util,0.0,1.2,2,0.8333333333333334,0
FilterCodecReader.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
DocumentsWriterStallControl.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,2
MMapDirectory.java,org.apache.lucene.store,0.0,2.4,3,0.5,2
MergeRateLimiter.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
BytesRefArray.java,org.apache.lucene.util,0.0,1.2,2,0.5,0
TermVectorsWriter.java,org.apache.lucene.codecs,0.0,4.8,5,0.2857142857142857,2
PayloadSpanUtil.java,org.apache.lucene.search.payloads,0.0,1.2,2,0.5,2
MutableValueInt.java,org.apache.lucene.util.mutable,0.0,0.0,1,1.0,0
Lucene50PostingsReader.java,org.apache.lucene.codecs.lucene50,0.0,1.2,2,0.75,9
Analyzer.java,org.apache.lucene.analysis,0.0,2.4,3,0.4,0
DocIdSet.java,org.apache.lucene.search,0.0,2.4,3,0.5,0
FilterDirectory.java,org.apache.lucene.store,0.0,3.5999999999999996,4,0.5,2
TermRangeFilter.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
FreqProxTermsWriter.java,org.apache.lucene.index,0.0,1.2,2,0.8888888888888888,0
CharTermAttribute.java,org.apache.lucene.analysis.tokenattributes,0.0,0.0,1,1.0,0
DocConsumer.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
FieldsConsumer.java,org.apache.lucene.codecs,0.0,2.4,3,0.5,0
CompressingStoredFieldsWriter.java,org.apache.lucene.codecs.compressing,1.2,2.4,4,0.6666666666666666,0
NormValuesWriter.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
FilterScorer.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
SortedSetDocValuesField.java,org.apache.lucene.document,0.0,0.0,1,1.0,0
CachingWrapperFilter.java,org.apache.lucene.search,0.0,2.4,3,0.6923076923076923,0
Terms.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.4285714285714285,0
FlushByRamOrCountsPolicy.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,0
FSTEnum.java,org.apache.lucene.util.fst,0.0,0.0,1,1.0,0
FieldInfos.java,org.apache.lucene.index,0.0,1.2,2,0.7272727272727273,0
QueryWrapperFilter.java,org.apache.lucene.search,0.0,2.4,3,0.3333333333333333,3
Lucene50FieldInfosFormat.java,org.apache.lucene.codecs.lucene50,0.0,1.2,2,0.6363636363636364,1
EliasFanoEncoder.java,org.apache.lucene.util.packed,0.0,1.2,2,0.5,0
LockObtainFailedException.java,org.apache.lucene.store,0.0,0.0,1,1.0,2
ByteBufferIndexInput.java,org.apache.lucene.store,0.0,3.5999999999999996,4,0.4285714285714285,4
SegmentDocValues.java,org.apache.lucene.index,0.0,2.4,3,0.6,0
BooleanScorer.java,org.apache.lucene.search,0.0,2.4,3,0.6666666666666666,0
DocumentsWriterPerThreadPool.java,org.apache.lucene.index,0.0,0.0,1,0.9,6
PrefixQuery.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
ExactPhraseScorer.java,org.apache.lucene.search,0.0,0.0,1,1.0,1
RAMInputStream.java,org.apache.lucene.store,0.0,1.2,2,0.5,2
PackedWriter.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
ConstantScoreQuery.java,org.apache.lucene.search,0.0,2.4,3,0.45,7
SlowCodecReaderWrapper.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
Packed16ThreeBlocks.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
SegmentInfos.java,org.apache.lucene.index,1.0,1.0,3,0.5571428571428572,17
CompressionMode.java,org.apache.lucene.codecs.compressing,0.0,1.2,2,0.8333333333333334,0
AttributeImpl.java,org.apache.lucene.util,0.0,1.2,2,0.6666666666666666,0
SortRescorer.java,org.apache.lucene.search,0.0,2.4,3,0.6,2
LongsRef.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
Accountables.java,org.apache.lucene.util,0.0,2.4,3,0.4,0
PairOutputs.java,org.apache.lucene.util.fst,0.0,2.4,3,0.7142857142857143,0
IndexFormatTooOldException.java,org.apache.lucene.index,0.0,1.2,2,0.5,0
Explanation.java,org.apache.lucene.search,0.0,0.0,1,0.9,6
IndexUpgrader.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.2857142857142857,3
MultiDocsEnum.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
RunAutomaton.java,org.apache.lucene.util.automaton,0.0,1.2,2,0.8571428571428571,0
Direct32.java,org.apache.lucene.util.packed,0.0,1.2,2,0.5,0
DataInput.java,org.apache.lucene.store,0.0,2.4,3,0.5,0
IndexReaderContext.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
TermToBytesRefAttribute.java,org.apache.lucene.analysis.tokenattributes,0.0,0.0,1,1.0,0
DisjunctionSumScorer.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
IndexInput.java,org.apache.lucene.store,0.0,0.0,1,1.0,2
CoalescedUpdates.java,org.apache.lucene.index,0.0,2.4,3,0.5,0
BufferedIndexInput.java,org.apache.lucene.store,0.0,1.2,2,0.75,0
RateLimiter.java,org.apache.lucene.store,0.0,1.2,2,0.8,0
RAMOutputStream.java,org.apache.lucene.store,0.0,3.5999999999999996,4,0.5833333333333334,0
MutableValueDouble.java,org.apache.lucene.util.mutable,0.0,0.0,1,1.0,0
CorruptIndexException.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.25,0
LockReleaseFailedException.java,org.apache.lucene.store,0.0,1.2,2,0.5,0
TimeLimitingCollector.java,org.apache.lucene.search,0.0,2.4,3,0.3333333333333333,4
RAMDirectory.java,org.apache.lucene.store,0.0,6.0,6,0.4615384615384615,1
LRUFilterCache.java,org.apache.lucene.search,0.0,1.2,2,0.8571428571428571,0
FST.java,org.apache.lucene.util.fst,0.0,3.5999999999999996,4,0.3571428571428571,0
PrefixCodedTerms.java,org.apache.lucene.index,0.0,2.4,3,0.5,0
SortedDocValuesField.java,org.apache.lucene.document,0.0,0.0,1,1.0,0
NativeFSLockFactory.java,org.apache.lucene.store,0.0,4.8,5,0.4444444444444444,4
CollectionTerminatedException.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
SegmentMerger.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.625,0
SegmentDocValuesProducer.java,org.apache.lucene.index,0.0,2.4,3,0.625,0
SortedSetDocValuesTermsEnum.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,0
ForUtil.java,org.apache.lucene.codecs.lucene50,0.0,0.0,1,1.0,0
EliasFanoDocIdSet.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
SloppyPhraseScorer.java,org.apache.lucene.search,0.0,2.4,3,0.4,1
CompressingStoredFieldsIndexWriter.java,org.apache.lucene.codecs.compressing,0.0,1.2,2,0.5,1
MultiTermQueryWrapperFilter.java,org.apache.lucene.search,0.0,3.5999999999999996,4,0.3333333333333333,2
PostingsWriterBase.java,org.apache.lucene.codecs,0.0,0.0,1,1.0,0
CompressingStoredFieldsIndexReader.java,org.apache.lucene.codecs.compressing,0.0,1.2,2,0.5714285714285714,0
CompressingStoredFieldsReader.java,org.apache.lucene.codecs.compressing,1.2,1.2,3,0.6818181818181818,0
FloatField.java,org.apache.lucene.document,0.0,2.4,3,0.6,0
Similarity.java,org.apache.lucene.search.similarities,0.0,1.2,2,0.5,3
FilteredTermsEnum.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
Lucene50SkipWriter.java,org.apache.lucene.codecs.lucene50,0.0,1.2,2,0.5,0
FilterDirectoryReader.java,org.apache.lucene.index,0.0,2.4,3,0.5,5
CachingTokenFilter.java,org.apache.lucene.analysis,0.0,1.2,2,0.6666666666666666,1
SegmentInfo.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.5,4
DocTermOrdsRewriteMethod.java,org.apache.lucene.search,0.0,2.4,3,0.5,1
FilteredQuery.java,org.apache.lucene.search,0.0,2.4,3,0.45,7
RateLimitedIndexOutput.java,org.apache.lucene.store,0.0,2.4,3,0.6666666666666666,0
SortedIntSet.java,org.apache.lucene.util.automaton,0.0,1.2,2,0.6666666666666666,0
BitDocIdSet.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
NRTCachingDirectory.java,org.apache.lucene.store,0.0,6.0,6,0.4705882352941176,0
PagedGrowableWriter.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
LeafCollector.java,org.apache.lucene.search,0.0,1.2,2,0.6,0
SortedSetSortField.java,org.apache.lucene.search,0.0,1.2,2,0.5,1
LongField.java,org.apache.lucene.document,0.0,2.4,3,0.6,1
LockFactory.java,org.apache.lucene.store,0.0,0.0,1,1.0,2
Lucene50CompoundFormat.java,org.apache.lucene.codecs.lucene50,0.0,1.2,2,0.8888888888888888,0
SingletonSortedSetDocValues.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
QueryTimeoutImpl.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
AbstractPagedMutable.java,org.apache.lucene.util.packed,0.0,1.2,2,0.6666666666666666,0
NoMergeScheduler.java,org.apache.lucene.index,0.0,1.2,2,0.5,0
FieldInvertState.java,org.apache.lucene.index,0.0,1.2,2,0.75,0
BooleanTopLevelScorers.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
StoredDocument.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
BlockPackedReaderIterator.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
LiveIndexWriterConfig.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.4444444444444444,3
FrozenBufferedUpdates.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.4,0
Document.java,org.apache.lucene.document,0.0,1.2,2,0.8333333333333334,0
UsageTrackingFilterCachingPolicy.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
BlockTreeTermsWriter.java,org.apache.lucene.codecs.blocktree,0.0,3.5999999999999996,4,0.6666666666666666,1
NumericDocValuesFieldUpdates.java,org.apache.lucene.index,0.0,1.2,2,0.8,0
FieldComparator.java,org.apache.lucene.search,0.0,3.5999999999999996,4,0.5384615384615384,0
DocValuesFieldUpdates.java,org.apache.lucene.index,0.0,1.2,2,0.75,0
DoubleField.java,org.apache.lucene.document,0.0,2.4,3,0.6,0
SimilarityBase.java,org.apache.lucene.search.similarities,0.0,1.2,2,0.5,2
MultiTerms.java,org.apache.lucene.index,0.0,2.4,3,0.3333333333333333,0
PerFieldDocValuesFormat.java,org.apache.lucene.codecs.perfield,0.0,2.4,3,0.7,0
DocValuesFormat.java,org.apache.lucene.codecs,0.0,0.0,1,1.0,2
PayloadAttribute.java,org.apache.lucene.analysis.tokenattributes,0.0,0.0,1,1.0,0
DocumentsWriterDeleteQueue.java,org.apache.lucene.index,0.0,2.4,3,0.5,0
TermRangeQuery.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
OutputStreamIndexOutput.java,org.apache.lucene.store,0.0,1.2,2,0.6666666666666666,0
FixedBitSet.java,org.apache.lucene.util,0.0,2.4,3,0.6428571428571429,4
IntersectTermsEnum.java,org.apache.lucene.codecs.blocktree,0.0,1.2,2,0.8571428571428571,0
Lock.java,org.apache.lucene.store,0.0,1.2,2,0.6666666666666666,2
ReqExclScorer.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
FSLockFactory.java,org.apache.lucene.store,0.0,2.4,3,0.3333333333333333,2
SentinelIntSet.java,org.apache.lucene.util,0.0,1.2,2,0.5,1
Lucene50NormsConsumer.java,org.apache.lucene.codecs.lucene50,0.0,2.4,3,0.6666666666666666,0
CodecReader.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
SimpleCollector.java,org.apache.lucene.search,0.0,1.2,2,0.6666666666666666,0
BytesRefHash.java,org.apache.lucene.util,0.0,1.2,2,0.75,0
MapOfSets.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
MergeScheduler.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,0
BlockPackedWriter.java,org.apache.lucene.util.packed,0.0,1.2,2,0.5,0
IndexCommit.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
MutableValueStr.java,org.apache.lucene.util.mutable,0.0,1.2,2,0.5,0
FieldMaskingSpanQuery.java,org.apache.lucene.search.spans,0.0,0.0,1,1.0,3
ByteArrayDataInput.java,org.apache.lucene.store,0.0,0.0,1,1.0,0
Lucene50Codec.java,org.apache.lucene.codecs.lucene50,0.0,0.0,1,1.0,0
TFIDFSimilarity.java,org.apache.lucene.search.similarities,0.0,2.4,3,0.5,3
BytesRefBuilder.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
AutomatonTermsEnum.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.5714285714285714,0
FloatDocValuesField.java,org.apache.lucene.document,0.0,1.2,2,0.5,0
SortedNumericSelector.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
FilterCachingPolicy.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
TokenStreamToAutomaton.java,org.apache.lucene.analysis,0.0,1.2,2,0.75,0
Lucene50LiveDocsFormat.java,org.apache.lucene.codecs.lucene50,0.0,0.0,1,1.0,1
BaseDirectory.java,org.apache.lucene.store,0.0,0.0,1,1.0,2
BytesStore.java,org.apache.lucene.util.fst,0.0,2.4,3,0.6666666666666666,0
NotDocIdSet.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
AbstractBlockPackedWriter.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
TermsHash.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,0
MergeState.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.6,0
BM25Similarity.java,org.apache.lucene.search.similarities,0.0,0.0,1,1.0,4
FilteredDocIdSet.java,org.apache.lucene.search,0.0,1.2,2,0.6,1
FilteredDocIdSetIterator.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
BitSetIterator.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
BulkOperationPacked.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
QueryTimeout.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
FrequencyTrackingRingBuffer.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
LeafFieldComparator.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
DocumentStoredFieldVisitor.java,org.apache.lucene.document,0.0,1.2,2,0.5,0
SortedDocValues.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
Stats.java,org.apache.lucene.codecs.blocktree,0.0,2.4,3,0.5,0
SingletonSortedNumericDocValues.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
BinaryDocValues.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
IndexableField.java,org.apache.lucene.index,0.0,2.4,3,0.6,0
TooComplexToDeterminizeException.java,org.apache.lucene.util.automaton,0.0,0.0,1,1.0,0
FilterCache.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
MultiFields.java,org.apache.lucene.index,0.0,2.4,3,0.5,5
NoMergePolicy.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,0
SimpleMergedSegmentWarmer.java,org.apache.lucene.index,0.0,2.4,3,0.3333333333333333,0
SPIClassIterator.java,org.apache.lucene.util,0.0,2.4,3,0.5,0
TermsHashPerField.java,org.apache.lucene.index,0.0,2.4,3,0.5,0
BinaryDocValuesFieldUpdates.java,org.apache.lucene.index,0.0,2.4,3,0.6666666666666666,0
Lucene50DocValuesFormat.java,org.apache.lucene.codecs.lucene50,0.0,2.4,3,0.6666666666666666,1
GrowableWriter.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
IntSequenceOutputs.java,org.apache.lucene.util.fst,0.0,1.2,2,0.6666666666666666,0
NormsFormat.java,org.apache.lucene.codecs,0.0,0.0,1,1.0,0
NumericDocValues.java,org.apache.lucene.index,0.0,1.2,2,0.5,0
BaseCompositeReader.java,org.apache.lucene.index,0.0,0.0,1,1.0,2
Lucene50TermVectorsFormat.java,org.apache.lucene.codecs.lucene50,0.0,0.0,1,1.0,1
WeakIdentityMap.java,org.apache.lucene.util,0.0,0.0,1,1.0,1
FieldDoc.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
MultiPhraseQuery.java,org.apache.lucene.search,0.0,2.0,3,0.6,24
Collector.java,org.apache.lucene.search,0.0,1.2,2,0.5,1
ReferenceManager.java,org.apache.lucene.search,0.0,1.2,2,0.5,0
SerialMergeScheduler.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
Packed64SingleBlock.java,org.apache.lucene.util.packed,0.0,1.2,2,0.5,0
DirectWriter.java,org.apache.lucene.util.packed,0.0,1.2,2,0.6666666666666666,0
MonotonicBlockPackedReader.java,org.apache.lucene.util.packed,0.0,1.2,2,0.5714285714285714,0
BufferedUpdates.java,org.apache.lucene.index,0.0,2.4,3,0.3333333333333333,0
LockStressTest.java,org.apache.lucene.store,0.0,4.8,5,0.3333333333333333,2
TopDocsCollector.java,org.apache.lucene.search,0.0,1.2,2,0.6666666666666666,0
IndexFileDeleter.java,org.apache.lucene.index,0.0,1.2,2,0.5,4
Lucene50DocValuesConsumer.java,org.apache.lucene.codecs.lucene50,0.0,1.2,2,0.75,0
BytesRef.java,org.apache.lucene.util,0.0,1.2,2,0.5,0
StringField.java,org.apache.lucene.document,0.0,0.0,1,1.0,0
ChecksumIndexInput.java,org.apache.lucene.store,0.0,1.2,2,0.5,0
VerifyingLockFactory.java,org.apache.lucene.store,0.0,2.4,3,0.5,4
VirtualMethod.java,org.apache.lucene.util,0.0,1.2,2,0.5,0
PushPostingsWriterBase.java,org.apache.lucene.codecs,0.0,1.2,2,0.6666666666666666,1
TopDocs.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
DirectoryReader.java,org.apache.lucene.index,0.0,1.2,2,0.8,3
PayloadNearQuery.java,org.apache.lucene.search.payloads,0.0,1.2,2,0.45,8
IndexWriterConfig.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.5,5
MutableValueBool.java,org.apache.lucene.util.mutable,0.0,0.0,1,1.0,0
MappingMultiDocsEnum.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
CompiledAutomaton.java,org.apache.lucene.util.automaton,0.0,2.4,3,0.7142857142857143,0
StoredFieldsWriter.java,org.apache.lucene.codecs,0.0,2.4,3,0.5,1
AutomatonQuery.java,org.apache.lucene.search,0.0,1.2,2,0.7142857142857143,2
FieldType.java,org.apache.lucene.document,0.0,1.2,2,0.8571428571428571,0
DeltaPackedLongValues.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
Lucene50PostingsWriter.java,org.apache.lucene.codecs.lucene50,0.0,1.2,2,0.8,0
TermVectorsReader.java,org.apache.lucene.codecs,0.0,1.2,2,0.6666666666666666,0
ExitableDirectoryReader.java,org.apache.lucene.index,0.0,1.2,2,0.5,2
ReadersAndUpdates.java,org.apache.lucene.index,0.0,2.4,3,0.4166666666666667,0
DocValuesConsumer.java,org.apache.lucene.codecs,0.0,4.8,5,0.4166666666666667,0
Transition.java,org.apache.lucene.util.automaton,0.0,0.0,1,1.0,0
CompressingStoredFieldsFormat.java,org.apache.lucene.codecs.compressing,0.0,1.2,2,0.8333333333333334,0
CharTermAttributeImpl.java,org.apache.lucene.analysis.tokenattributes,0.0,2.4,3,0.3333333333333333,0
TrackingDirectoryWrapper.java,org.apache.lucene.store,0.0,0.0,1,1.0,0
DocValuesRangeFilter.java,org.apache.lucene.search,0.0,2.4,3,0.3333333333333333,0
MappedMultiFields.java,org.apache.lucene.index,0.0,1.2,2,0.5,0
CommandLineUtil.java,org.apache.lucene.util,0.0,1.2,2,0.5,0
SingleInstanceLockFactory.java,org.apache.lucene.store,0.0,2.4,3,0.3333333333333333,4
PerFieldSimilarityWrapper.java,org.apache.lucene.search.similarities,0.0,0.0,1,1.0,0
CloseableThreadLocal.java,org.apache.lucene.util,0.0,0.0,1,1.0,0
IOUtils.java,org.apache.lucene.util,0.0,4.8,5,0.4615384615384615,4
DaciukMihovAutomatonBuilder.java,org.apache.lucene.util.automaton,0.0,2.4,3,0.6,0
MergeTrigger.java,org.apache.lucene.index,0.0,1.2,2,0.6666666666666666,0
AbortingException.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
CodecUtil.java,org.apache.lucene.codecs,0.0,1.2,2,0.9166666666666666,0
PayloadAttributeImpl.java,org.apache.lucene.analysis.tokenattributes,0.0,0.0,1,1.0,0
DisjunctionMaxScorer.java,org.apache.lucene.search,0.0,0.0,1,1.0,0
SegmentInfoFormat.java,org.apache.lucene.codecs,0.0,0.0,1,1.0,1
FilterCollector.java,org.apache.lucene.search,0.0,1.2,2,0.5,1
IndexOptions.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
UTF32ToUTF8.java,org.apache.lucene.util.automaton,0.0,1.2,2,0.8,0
SnapshotDeletionPolicy.java,org.apache.lucene.index,0.0,1.2,2,0.5,0
FreqProxTermsWriterPerField.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
ReverseBytesReader.java,org.apache.lucene.util.fst,0.0,0.0,1,1.0,0
IntersectTermsEnumFrame.java,org.apache.lucene.codecs.blocktree,0.0,1.2,2,0.875,0
LiveFieldValues.java,org.apache.lucene.search,0.0,2.4,3,0.4,0
DocValuesUpdate.java,org.apache.lucene.index,0.0,1.2,2,0.75,0
NearSpansUnordered.java,org.apache.lucene.search.spans,0.0,2.4,3,0.3,8
FieldValueHitQueue.java,org.apache.lucene.search,0.0,1.2,2,0.6666666666666666,0
SegmentReader.java,org.apache.lucene.index,1.2,4.8,6,0.59375,2
BitSet.java,org.apache.lucene.util,0.0,1.2,2,0.75,0
BulkOperation.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
DocValuesWriter.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
RandomAccessInput.java,org.apache.lucene.store,0.0,0.0,1,1.0,0
SegmentTermsEnum.java,org.apache.lucene.codecs.blocktree,0.0,3.5999999999999996,4,0.7333333333333333,0
AnalyzerWrapper.java,org.apache.lucene.analysis,0.0,1.2,2,0.6666666666666666,0
LeafReaderContext.java,org.apache.lucene.index,0.0,1.2,2,0.5,0
SortedNumericDocValues.java,org.apache.lucene.index,0.0,0.0,1,1.0,0
NumericDocValuesWriter.java,org.apache.lucene.index,0.0,3.5999999999999996,4,0.25,0
Spans.java,org.apache.lucene.search.spans,0.0,0.0,1,0.9,7
TopScoreDocCollector.java,org.apache.lucene.search,0.0,1.2,2,0.75,1
Builder.java,org.apache.lucene.util.fst,0.0,2.4,3,0.5,0
ReaderManager.java,org.apache.lucene.index,0.0,1.2,2,0.5,0
FileSwitchDirectory.java,org.apache.lucene.store,0.0,2.4,3,0.6666666666666666,2
Packed8ThreeBlocks.java,org.apache.lucene.util.packed,0.0,0.0,1,1.0,0
CompositeReaderContext.java,org.apache.lucene.index,0.0,1.2,2,0.5,0


C002;DOCUMENT/MESSAGE NAME;010;1001;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;1000;C;an..35;
C004;EVENT CATEGORY;010;9637;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9636;C;an..70;
C008;MONETARY AMOUNT FUNCTION DETAIL;010;5105;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;5104;C;an..70;
C009;INFORMATION CATEGORY;010;9615;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9614;C;an..70;
C010;INFORMATION TYPE;010;9613;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9612;C;an..70;
C011;INFORMATION DETAIL;010;9617;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;9616;C;an..256;
C012;PROCESSING INDICATOR;010;7365;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;7364;C;an..35;
C019;PAYMENT TERMS;010;4277;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;4276;C;an..35;
C030;EVENT TYPE;010;9171;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9170;C;an..70;
C040;CARRIER;010;3127;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;3128;C;an..35;
C042;NATIONALITY DETAILS;010;3293;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;3292;C;a..35;
C045;BILL LEVEL IDENTIFICATION;010;7436;C;an..17;020;7438;C;an..17;030;7440;C;an..17;040;7442;C;an..17;050;7444;C;an..17;060;7446;C;an..17;
C049;REMUNERATION TYPE IDENTIFICATION;010;5315;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;5314;C;an..35;050;5314;C;an..35;
C056;DEPARTMENT OR EMPLOYEE DETAILS;010;3413;C;an..17;020;3412;C;an..35;
C058;NAME AND ADDRESS;010;3124;M;an..35;020;3124;C;an..35;030;3124;C;an..35;040;3124;C;an..35;050;3124;C;an..35;
C059;STREET;010;3042;M;an..35;020;3042;C;an..35;030;3042;C;an..35;040;3042;C;an..35;
C063;EVENT IDENTIFICATION;010;9173;C;an..35;020;1131;C;an..17;030;3055;C;an..3;040;9172;C;an..256;
C076;COMMUNICATION CONTACT;010;3148;M;an..512;020;3155;M;an..3;
C077;FILE IDENTIFICATION;010;1508;C;an..35;020;7008;C;an..256;
C078;ACCOUNT HOLDER IDENTIFICATION;010;3194;C;an..35;020;3192;C;an..35;030;3192;C;an..35;040;6345;C;an..3;
C079;COMPUTER ENVIRONMENT IDENTIFICATION;010;1511;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;1510;C;an..35;050;1056;C;an..9;060;1058;C;an..9;070;7402;C;an..35;
C080;PARTY NAME;010;3036;M;an..35;020;3036;C;an..35;030;3036;C;an..35;040;3036;C;an..35;050;3036;C;an..35;060;3045;C;an..3;
C082;PARTY IDENTIFICATION DETAILS;010;3039;M;an..35;020;1131;C;an..17;030;3055;C;an..3;
C085;MARITAL STATUS DETAILS;010;3479;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;3478;C;an..35;
C088;INSTITUTION IDENTIFICATION;010;3433;C;an..11;020;1131;C;an..17;030;3055;C;an..3;040;3434;C;an..17;050;1131;C;an..17;060;3055;C;an..3;070;3432;C;an..70;080;3436;C;an..70;
C090;ADDRESS DETAILS;010;3477;M;an..3;020;3286;M;an..70;030;3286;C;an..70;040;3286;C;an..70;050;3286;C;an..70;060;3286;C;an..70;
C099;FILE DETAILS;010;1516;M;an..17;020;1056;C;an..9;030;1503;C;an..3;040;1502;C;an..35;
C100;TERMS OF DELIVERY OR TRANSPORT;010;4053;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;4052;C;an..70;050;4052;C;an..70;
C101;RELIGION DETAILS;010;3483;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;3482;C;an..35;
C106;DOCUMENT/MESSAGE IDENTIFICATION;010;1004;C;an..35;020;1056;C;an..9;030;1060;C;an..6;
C107;TEXT REFERENCE;010;4441;M;an..17;020;1131;C;an..17;030;3055;C;an..3;
C108;TEXT LITERAL;010;4440;M;an..512;020;4440;C;an..512;030;4440;C;an..512;040;4440;C;an..512;050;4440;C;an..512;
C110;PAYMENT TERMS;010;4277;M;an..17;020;1131;C;an..17;030;3055;C;an..3;040;4276;C;an..35;050;4276;C;an..35;
C112;TERMS/TIME INFORMATION;010;2475;M;an..3;020;2009;C;an..3;030;2151;C;an..3;040;2152;C;n..3;
C128;RATE DETAILS;010;5419;M;an..3;020;5420;M;n..15;030;5284;C;n..9;040;6411;C;an..3;
C138;PRICE MULTIPLIER INFORMATION;010;5394;M;n..12;020;5393;C;an..3;
C174;VALUE/RANGE;010;6411;M;an..3;020;6314;C;an..18;030;6162;C;n..18;040;6152;C;n..18;050;6432;C;n..2;
C186;QUANTITY DETAILS;010;6063;M;an..3;020;6060;M;an..35;030;6411;C;an..3;
C200;CHARGE;010;8023;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;8022;C;an..26;050;4237;C;an..3;060;7140;C;an..35;
C202;PACKAGE TYPE;010;7065;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;7064;C;an..35;
C203;RATE/TARIFF CLASS;010;5243;M;an..9;020;1131;C;an..17;030;3055;C;an..3;040;5242;C;an..35;050;5275;C;an..6;060;1131;C;an..17;070;3055;C;an..3;080;5275;C;an..6;090;1131;C;an..17;100;3055;C;an..3;
C205;HAZARD CODE;010;8351;M;an..7;020;8078;C;an..7;030;8092;C;an..10;
C206;IDENTIFICATION NUMBER;010;7402;M;an..35;020;7405;C;an..3;030;4405;C;an..3;
C208;IDENTITY NUMBER RANGE;010;7402;M;an..35;020;7402;C;an..35;
C210;MARKS & LABELS;010;7102;M;an..35;020;7102;C;an..35;030;7102;C;an..35;040;7102;C;an..35;050;7102;C;an..35;060;7102;C;an..35;070;7102;C;an..35;080;7102;C;an..35;090;7102;C;an..35;100;7102;C;an..35;
C211;DIMENSIONS;010;6411;M;an..3;020;6168;C;n..15;030;6140;C;n..15;040;6008;C;n..15;
C212;ITEM NUMBER IDENTIFICATION;010;7140;C;an..35;020;7143;C;an..3;030;1131;C;an..17;040;3055;C;an..3;
C213;NUMBER AND TYPE OF PACKAGES;010;7224;C;n..8;020;7065;C;an..17;030;1131;C;an..17;040;3055;C;an..3;050;7064;C;an..35;060;7233;C;an..3;
C214;SPECIAL SERVICES IDENTIFICATION;010;7161;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;7160;C;an..35;050;7160;C;an..35;
C215;SEAL ISSUER;010;9303;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9302;C;an..35;
C218;HAZARDOUS MATERIAL;010;7419;C;an..4;020;1131;C;an..17;030;3055;C;an..3;040;7418;C;an..35;
C219;MOVEMENT TYPE;010;8335;C;an..3;020;8334;C;an..35;
C220;MODE OF TRANSPORT;010;8067;C;an..3;020;8066;C;an..17;
C222;TRANSPORT IDENTIFICATION;010;8213;C;an..9;020;1131;C;an..17;030;3055;C;an..3;040;8212;C;an..35;050;8453;C;an..3;
C223;DANGEROUS GOODS SHIPMENT FLASHPOINT;010;7106;C;n3;020;6411;C;an..3;
C224;EQUIPMENT SIZE AND TYPE;010;8155;C;an..10;020;1131;C;an..17;030;3055;C;an..3;040;8154;C;an..35;
C228;TRANSPORT MEANS;010;8179;C;an..8;020;8178;C;an..17;
C229;CHARGE CATEGORY;010;5237;M;an..3;020;1131;C;an..17;030;3055;C;an..3;
C231;METHOD OF PAYMENT;010;4215;M;an..3;020;1131;C;an..17;030;3055;C;an..3;
C232;GOVERNMENT ACTION;010;9415;C;an..3;020;9411;C;an..3;030;9417;C;an..3;040;9353;C;an..3;
C233;SERVICE;010;7273;M;an..3;020;1131;C;an..17;030;3055;C;an..3;040;7273;C;an..3;050;1131;C;an..17;060;3055;C;an..3;
C234;UNDG INFORMATION;010;7124;C;n4;020;7088;C;an..8;
C235;HAZARD IDENTIFICATION PLACARD DETAILS;010;8158;C;an..4;020;8186;C;an4;
C236;DANGEROUS GOODS LABEL;010;8246;C;an..4;020;8246;C;an..4;030;8246;C;an..4;
C237;EQUIPMENT IDENTIFICATION;010;8260;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;3207;C;an..3;
C239;TEMPERATURE SETTING;010;6246;C;n..15;020;6411;C;an..3;
C240;PRODUCT CHARACTERISTIC;010;7037;M;an..17;020;1131;C;an..17;030;3055;C;an..3;040;7036;C;an..35;050;7036;C;an..35;
C241;DUTY/TAX/FEE TYPE;010;5153;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;5152;C;an..35;
C242;PROCESS TYPE AND DESCRIPTION;010;7187;M;an..17;020;1131;C;an..17;030;3055;C;an..3;040;7186;C;an..35;050;7186;C;an..35;
C243;DUTY/TAX/FEE DETAIL;010;5279;C;an..7;020;1131;C;an..17;030;3055;C;an..3;040;5278;C;an..17;050;5273;C;an..12;060;1131;C;an..17;070;3055;C;an..3;
C244;TEST METHOD;010;4415;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;4416;C;an..70;
C246;CUSTOMS IDENTITY CODES;010;7361;M;an..18;020;1131;C;an..17;030;3055;C;an..3;
C270;CONTROL;010;6069;M;an..3;020;6066;M;n..18;030;6411;C;an..3;
C272;ITEM CHARACTERISTIC;010;7081;C;an..3;020;1131;C;an..17;030;3055;C;an..3;
C273;ITEM DESCRIPTION;010;7009;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;7008;C;an..256;050;7008;C;an..256;060;3453;C;an..3;
C279;QUANTITY DIFFERENCE INFORMATION;010;6064;M;n..15;020;6063;C;an..3;
C280;RANGE;010;6411;M;an..3;020;6162;C;n..18;030;6152;C;n..18;
C286;SEQUENCE INFORMATION;010;1050;M;an..10;020;1159;C;an..3;030;1131;C;an..17;040;3055;C;an..3;
C288;PRODUCT GROUP;010;5389;C;an..25;020;1131;C;an..17;030;3055;C;an..3;040;5388;C;an..35;
C292;PRICE CHANGE INFORMATION;010;5377;M;an..3;020;1131;C;an..17;030;3055;C;an..3;
C329;PATTERN DESCRIPTION;010;2013;C;an..3;020;2015;C;an..3;030;2017;C;an..3;
C330;INSURANCE COVER TYPE;010;4497;M;an..3;020;1131;C;an..17;030;3055;C;an..3;
C331;INSURANCE COVER DETAILS;010;4495;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;4494;C;an..35;050;4494;C;an..35;
C332;SALES CHANNEL IDENTIFICATION;010;3496;M;an..17;020;1131;C;an..17;030;3055;C;an..3;
C333;INFORMATION REQUEST;010;4511;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;4510;C;an..35;
C401;EXCESS TRANSPORTATION INFORMATION;010;8457;M;an..3;020;8459;M;an..3;030;7130;C;an..17;
C402;PACKAGE TYPE IDENTIFICATION;010;7077;M;an..3;020;7064;M;an..35;030;7143;C;an..3;040;7064;C;an..35;050;7143;C;an..3;
C501;PERCENTAGE DETAILS;010;5245;M;an..3;020;5482;C;n..10;030;5249;C;an..3;040;1131;C;an..17;050;3055;C;an..3;
C502;MEASUREMENT DETAILS;010;6313;C;an..3;020;6321;C;an..3;030;6155;C;an..17;040;6154;C;an..70;
C503;DOCUMENT/MESSAGE DETAILS;010;1004;C;an..35;020;1373;C;an..3;030;1366;C;an..70;040;3453;C;an..3;050;1056;C;an..9;060;1060;C;an..6;
C504;CURRENCY DETAILS;010;6347;M;an..3;020;6345;C;an..3;030;6343;C;an..3;040;6348;C;n..4;
C506;REFERENCE;010;1153;M;an..3;020;1154;C;an..70;030;1156;C;an..6;040;4000;C;an..35;050;1060;C;an..6;
C507;DATE/TIME/PERIOD;010;2005;M;an..3;020;2380;C;an..35;030;2379;C;an..3;
C508;LANGUAGE DETAILS;010;3453;C;an..3;020;3452;C;an..35;
C509;PRICE INFORMATION;010;5125;M;an..3;020;5118;C;n..15;030;5375;C;an..3;040;5387;C;an..3;050;5284;C;n..9;060;6411;C;an..3;
C512;SIZE DETAILS;010;6173;C;an..3;020;6174;C;n..15;
C514;SAMPLE LOCATION DETAILS;010;3237;C;an..3;020;3236;C;an..35;
C515;TEST REASON;010;4425;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;4424;C;an..35;
C516;MONETARY AMOUNT;010;5025;M;an..3;020;5004;C;n..35;030;6345;C;an..3;040;6343;C;an..3;050;4405;C;an..3;
C517;LOCATION IDENTIFICATION;010;3225;C;an..25;020;1131;C;an..17;030;3055;C;an..3;040;3224;C;an..256;
C519;RELATED LOCATION ONE IDENTIFICATION;010;3223;C;an..25;020;1131;C;an..17;030;3055;C;an..3;040;3222;C;an..70;
C521;BUSINESS FUNCTION;010;4027;M;an..3;020;4025;M;an..3;030;1131;C;an..17;040;3055;C;an..3;050;4022;C;an..70;
C522;INSTRUCTION;010;4403;M;an..3;020;4401;C;an..3;030;1131;C;an..17;040;3055;C;an..3;050;4400;C;an..35;
C523;NUMBER OF UNIT DETAILS;010;6350;C;n..15;020;6353;C;an..3;
C524;HANDLING INSTRUCTIONS;010;4079;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;4078;C;an..70;
C525;PURPOSE OF CONVEYANCE CALL;010;8025;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;8024;C;an..35;
C526;FREQUENCY DETAILS;010;6071;M;an..3;020;6072;C;n..9;030;6411;C;an..3;
C527;STATISTICAL DETAILS;010;6314;C;an..18;020;6411;C;an..3;030;6313;C;an..3;040;6321;C;an..3;
C528;COMMODITY/RATE DETAIL;010;7357;C;an..18;020;1131;C;an..17;030;3055;C;an..3;
C529;PROCESSING INDICATOR;010;7365;M;an..3;020;1131;C;an..17;030;3055;C;an..3;040;7187;C;an..17;
C531;PACKAGING DETAILS;010;7075;C;an..3;020;7233;C;an..3;030;7073;C;an..3;
C532;RETURNABLE PACKAGE DETAILS;010;8395;C;an..3;020;8393;C;an..3;
C533;DUTY/TAX/FEE ACCOUNT DETAIL;010;5289;M;an..6;020;1131;C;an..17;030;3055;C;an..3;
C534;PAYMENT INSTRUCTION DETAILS;010;4439;C;an..3;020;4431;C;an..3;030;4461;C;an..3;040;1131;C;an..17;050;3055;C;an..3;060;4435;C;an..3;
C536;CONTRACT AND CARRIAGE CONDITION;010;4065;M;an..3;020;1131;C;an..17;030;3055;C;an..3;
C537;TRANSPORT PRIORITY;010;4219;M;an..3;020;1131;C;an..17;030;3055;C;an..3;
C543;AGREEMENT TYPE IDENTIFICATION;010;7431;M;an..3;020;7433;C;an..3;030;1131;C;an..17;040;3055;C;an..3;050;7434;C;an..70;
C545;INDEX IDENTIFICATION;010;5013;M;an..3;020;5027;C;an..17;030;1131;C;an..17;040;3055;C;an..3;
C546;INDEX VALUE;010;5030;M;an..35;020;5039;C;an..3;
C549;MONETARY AMOUNT FUNCTION;010;5007;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;5006;C;an..70;
C550;REQUIREMENT/CONDITION IDENTIFICATION;010;7295;M;an..17;020;1131;C;an..17;030;3055;C;an..3;040;7294;C;an..35;
C551;BANK OPERATION;010;4383;M;an..3;020;1131;C;an..17;030;3055;C;an..3;
C552;ALLOWANCE/CHARGE INFORMATION;010;1230;C;an..35;020;5189;C;an..3;
C553;RELATED LOCATION TWO IDENTIFICATION;010;3233;C;an..25;020;1131;C;an..17;030;3055;C;an..3;040;3232;C;an..70;
C554;RATE/TARIFF CLASS DETAIL;010;5243;C;an..9;020;1131;C;an..17;030;3055;C;an..3;
C555;STATUS;010;4405;M;an..3;020;1131;C;an..17;030;3055;C;an..3;040;4404;C;an..35;
C556;STATUS REASON;010;9013;M;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9012;C;an..256;
C564;PHYSICAL OR LOGICAL STATE INFORMATION;010;7007;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;7006;C;an..70;
C585;PRIORITY DETAILS;010;4037;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;4036;C;an..35;
C593;ACCOUNT IDENTIFICATION;010;1147;M;an..35;020;1131;C;an..17;030;3055;C;an..3;040;1148;C;an..17;050;1146;C;an..35;060;1146;C;an..35;070;6345;C;an..3;
C595;ACCOUNTING JOURNAL IDENTIFICATION;010;1171;M;an..17;020;1131;C;an..17;030;3055;C;an..3;040;1170;C;an..35;
C596;ACCOUNTING ENTRY TYPE DETAILS;010;4475;M;an..17;020;1131;C;an..17;030;3055;C;an..3;040;4474;C;an..35;
C601;STATUS CATEGORY;010;9015;M;an..3;020;1131;C;an..17;030;3055;C;an..3;
C701;ERROR POINT DETAILS;010;1049;C;an..3;020;1052;C;an..35;030;1054;C;n..6;
C702;CODE SET IDENTIFICATION;010;9150;C;an..4;020;1131;C;an..17;030;3055;C;an..3;
C703;NATURE OF CARGO;010;7085;M;an..3;020;1131;C;an..17;030;3055;C;an..3;
C709;MESSAGE IDENTIFIER;010;1475;M;an..6;020;1056;C;an..9;030;1058;C;an..9;040;1476;C;an..2;050;1523;C;an..6;060;1060;C;an..6;070;1373;C;an..3;
C770;ARRAY CELL DETAILS;010;9424;C;an..512;
C778;POSITION IDENTIFICATION;010;7164;C;an..35;020;1050;C;an..10;
C779;ARRAY STRUCTURE IDENTIFICATION;010;9428;M;an..35;020;7405;C;an..3;
C780;VALUE LIST IDENTIFICATION;010;1518;M;an..35;020;7405;C;an..3;
C782;DATA SET IDENTIFICATION;010;1520;M;an..35;020;7405;C;an..3;
C783;FOOTNOTE SET IDENTIFICATION;010;9430;M;an..35;020;7405;C;an..3;
C784;FOOTNOTE IDENTIFICATION;010;9432;M;an..35;020;7405;C;an..3;
C785;STATISTICAL CONCEPT IDENTIFICATION;010;6434;M;an..35;020;7405;C;an..3;
C786;STRUCTURE COMPONENT IDENTIFICATION;010;7512;M;an..35;020;7405;C;an..3;
C811;QUESTION DETAILS;010;4057;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;4056;C;an..256;
C812;RESPONSE DETAILS;010;4345;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;4344;C;an..256;
C814;SAFETY SECTION;010;4046;M;n..2;020;4044;C;an..70;
C815;ADDITIONAL SAFETY INFORMATION;010;4039;M;an..3;020;1131;C;an..17;030;3055;C;an..3;040;4038;C;an..35;
C816;NAME COMPONENT DETAILS;010;3405;M;an..3;020;3398;C;an..70;030;3401;C;an..3;040;3295;C;an..3;
C817;ADDRESS USAGE;010;3299;C;an..3;020;3131;C;an..3;030;3475;C;an..3;
C818;PERSON INHERITED CHARACTERISTIC DETAILS;010;3311;C;an..8;020;1131;C;an..17;030;3055;C;an..3;040;3310;C;an..70;
C819;COUNTRY SUB-ENTITY DETAILS;010;3229;C;an..9;020;1131;C;an..17;030;3055;C;an..3;040;3228;C;an..35;
C820;PREMIUM CALCULATION COMPONENT;010;4521;C;an..17;020;1131;C;an..17;030;3055;C;an..3;
C821;TYPE OF DAMAGE;010;7501;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;7500;C;an..35;
C822;DAMAGE AREA;010;7503;C;an..4;020;1131;C;an..17;030;3055;C;an..3;040;7502;C;an..35;
C823;TYPE OF UNIT/COMPONENT;010;7505;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;7504;C;an..35;
C824;COMPONENT MATERIAL;010;7507;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;7506;C;an..35;
C825;DAMAGE SEVERITY;010;7509;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;7508;C;an..35;
C826;ACTION;010;1229;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;1228;C;an..35;
C827;TYPE OF MARKING;010;7511;M;an..3;020;1131;C;an..17;030;3055;C;an..3;
C828;CLINICAL INTERVENTION DETAILS;010;9437;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;9436;C;an..70;
C829;SUB-LINE INFORMATION;010;5495;C;an..3;020;1082;C;an..6;
C830;PROCESS IDENTIFICATION DETAILS;010;7191;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;7190;C;an..70;
C831;RESULT DETAILS;010;6314;C;an..18;020;6321;C;an..3;030;6155;C;an..17;040;1131;C;an..17;050;3055;C;an..3;060;6154;C;an..70;
C836;CLINICAL INFORMATION DETAILS;010;6413;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;6412;C;an..70;
C837;CERTAINTY DETAILS;010;4049;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;4048;C;an..35;
C838;DOSAGE DETAILS;010;6083;C;an..8;020;1131;C;an..17;030;3055;C;an..3;040;6082;C;an..70;
C839;ATTENDEE CATEGORY;010;7459;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;7458;C;an..35;
C840;ATTENDANCE ADMISSION DETAILS;010;9445;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9444;C;an..35;
C841;ATTENDANCE DISCHARGE DETAILS;010;9447;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9446;C;an..35;
C844;ORGANISATION CLASSIFICATION DETAIL;010;3083;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;3082;C;an..70;
C848;MEASUREMENT UNIT DETAILS;010;6417;C;an..8;020;1131;C;an..17;030;3055;C;an..3;040;6416;C;an..35;
C849;PARTIES TO INSTRUCTION;010;3301;M;an..35;020;3285;C;an..35;
C850;STATUS OF INSTRUCTION;010;4405;M;an..3;020;3036;C;an..35;
C851;RISK OBJECT TYPE;010;7179;C;an..17;020;1131;C;an..17;030;3055;C;an..3;
C852;RISK OBJECT SUB-TYPE;010;7177;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;7176;C;an..70;
C853;ERROR SEGMENT POINT DETAILS;010;9166;C;an..3;020;1050;C;an..10;030;1159;C;an..3;
C878;CHARGE/ALLOWANCE ACCOUNT;010;3434;M;an..17;020;1131;C;an..17;030;3055;C;an..3;040;3194;C;an..35;050;6345;C;an..3;
C889;CHARACTERISTIC VALUE;010;7111;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;7110;C;an..35;050;7110;C;an..35;
C901;APPLICATION ERROR DETAIL;010;9321;M;an..8;020;1131;C;an..17;030;3055;C;an..3;
C941;RELATIONSHIP;010;9143;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9142;C;an..35;
C942;MEMBERSHIP CATEGORY;010;7451;M;an..4;020;1131;C;an..17;030;3055;C;an..3;040;7450;C;an..35;
C944;MEMBERSHIP STATUS;010;7453;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;7452;C;an..35;
C945;MEMBERSHIP LEVEL;010;7455;M;an..3;020;7457;C;an..9;030;1131;C;an..17;040;3055;C;an..3;050;7456;C;an..35;
C948;EMPLOYMENT CATEGORY;010;9005;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9004;C;an..35;
C950;QUALIFICATION CLASSIFICATION;010;9007;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9006;C;an..35;050;9006;C;an..35;
C951;OCCUPATION;010;9009;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9008;C;an..35;050;9008;C;an..35;
C953;CONTRIBUTION TYPE;010;5049;M;an..3;020;1131;C;an..17;030;3055;C;an..3;040;5048;C;an..35;
C955;ATTRIBUTE TYPE;010;9021;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;9020;C;an..70;
C956;ATTRIBUTE DETAIL;010;9019;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;9018;C;an..256;
C960;REASON FOR CHANGE;010;4295;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;4294;C;an..35;
C961;FORMULA COMPLEXITY;010;9505;C;an..3;020;1131;C;an..17;030;3055;C;an..3;
C970;CLAUSE NAME;010;4069;C;an..17;020;1131;C;an..17;030;3055;C;an..3;040;4068;C;an..70;
C971;PROVISO TYPE;010;4073;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;4072;C;an..35;
C972;PROVISO CALCULATION;010;4075;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;4074;C;an..35;
C973;APPLICABILITY TYPE;010;9049;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9048;C;an..35;
C974;BASIS TYPE;010;9047;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;9046;C;an..35;
C977;PERIOD DETAIL;010;2025;C;an..3;020;1131;C;an..17;030;3055;C;an..3;040;2024;C;an..35;


full_name,action_name,namespace,description,path_segment
ckan.logic.action.get.site_read,site_read,ckan.action.get.,Return True.,/site_read
ckan.logic.action.get.package_list,package_list,ckan.action.get.,Return a list of the names of the site’s datasets (packages).,/package_list
ckan.logic.action.get.current_package_list_with_resources,current_package_list_with_resources,ckan.action.get.,Return a list of the site’s datasets (packages) and their resources. The list is sorted most-recently-modified first.,/current_package_list_with_resources
ckan.logic.action.get.revision_list,revision_list,ckan.action.get.,"Return a list of the IDs of the site’s revisions. They are sorted with
the newest first. Since the results are limited to 50 IDs, you can page through them using
parameter since_id.",/revision_list
ckan.logic.action.get.package_revision_list,package_revision_list,ckan.action.get.,Return a dataset (package)’s revisions as a list of dictionaries.,/package_revision_list
ckan.logic.action.get.member_list,member_list,ckan.action.get.,Return the members of a group. The user must have permission to ‘get’ the group.,/member_list
ckan.logic.action.get.group_list,group_list,ckan.action.get.,Return a list of the names of the site’s groups.,/group_list
ckan.logic.action.get.organization_list,organization_list,ckan.action.get.,Return a list of the names of the site’s organizations.,/organization_list
ckan.logic.action.get.group_list_authz,group_list_authz,ckan.action.get.,Return the list of groups that the user is authorized to edit.,/group_list_authz
ckan.logic.action.get.organization_list_for_user,organization_list_for_user,ckan.action.get.,"Return the organizations that the user has a given permission for. Specifically it returns the list of organizations that the currently
authorized user has a given permission (for example: “manage_group”)
against. By default this returns the list of organizations that the currently
authorized user is member of, in any capacity. When a user becomes a member of an organization in CKAN they’re given a
“capacity” (sometimes called a “role”), for example “member”, “editor” or
“admin”. Each of these roles has certain permissions associated with it. For example
the admin role has the “admin” permission (which means they have permission
to do anything). The editor role has permissions like “create_dataset”,
“update_dataset” and “delete_dataset”.  The member role has the “read”
permission. This function returns the list of organizations that the authorized user
has a given permission for. For example the list of organizations that the
user is an admin of, or the list of organizations that the user can create
datasets in. This takes account of when permissions cascade down an
organization hierarchy.",/organization_list_for_user
ckan.logic.action.get.group_revision_list,group_revision_list,ckan.action.get.,Return a group’s revisions.,/group_revision_list
ckan.logic.action.get.organization_revision_list,organization_revision_list,ckan.action.get.,Return an organization’s revisions.,/organization_revision_list
ckan.logic.action.get.license_list,license_list,ckan.action.get.,Return the list of licenses available for datasets on the site.,/license_list
ckan.logic.action.get.tag_list,tag_list,ckan.action.get.,"Return a list of the site’s tags. By default only free tags (tags that don’t belong to a vocabulary) are
returned. If the vocabulary_id argument is given then only tags
belonging to that vocabulary will be returned instead.",/tag_list
ckan.logic.action.get.user_list,user_list,ckan.action.get.,Return a list of the site’s user accounts.,/user_list
ckan.logic.action.get.package_relationships_list,package_relationships_list,ckan.action.get.,Return a dataset (package)’s relationships.,/package_relationships_list
ckan.logic.action.get.package_show,package_show,ckan.action.get.,Return the metadata of a dataset (package) and its resources.,/package_show
ckan.logic.action.get.resource_show,resource_show,ckan.action.get.,Return the metadata of a resource.,/resource_show
ckan.logic.action.get.resource_view_show,resource_view_show,ckan.action.get.,Return the metadata of a resource_view.,/resource_view_show
ckan.logic.action.get.resource_view_list,resource_view_list,ckan.action.get.,Return the list of resource views for a particular resource.,/resource_view_list
ckan.logic.action.get.resource_status_show,resource_status_show,ckan.action.get.,Return the statuses of a resource’s tasks. This function is DEPRECATED.,/resource_status_show
ckan.logic.action.get.revision_show,revision_show,ckan.action.get.,Return the details of a revision.,/revision_show
ckan.logic.action.get.group_show,group_show,ckan.action.get.,Return the details of a group.,/group_show
ckan.logic.action.get.organization_show,organization_show,ckan.action.get.,Return the details of a organization.,/organization_show
ckan.logic.action.get.group_package_show,group_package_show,ckan.action.get.,Return the datasets (packages) of a group.,/group_package_show
ckan.logic.action.get.tag_show,tag_show,ckan.action.get.,Return the details of a tag and all its datasets.,/tag_show
ckan.logic.action.get.user_show,user_show,ckan.action.get.,Return a user account. Either the id or the user_obj parameter must be given.,/user_show
ckan.logic.action.get.package_autocomplete,package_autocomplete,ckan.action.get.,"Return a list of datasets (packages) that match a string. Datasets with names or titles that contain the query string will be
returned.",/package_autocomplete
ckan.logic.action.get.format_autocomplete,format_autocomplete,ckan.action.get.,Return a list of resource formats whose names contain a string.,/format_autocomplete
ckan.logic.action.get.user_autocomplete,user_autocomplete,ckan.action.get.,Return a list of user names that contain a string.,/user_autocomplete
ckan.logic.action.get.organization_autocomplete,organization_autocomplete,ckan.action.get.,Return a list of organization names that contain a string.,/organization_autocomplete
ckan.logic.action.get.package_search,package_search,ckan.action.get.,"Searches for packages satisfying a given search criteria. This action accepts solr search query parameters (details below), and
returns a dictionary of results, including dictized datasets that match
the search criteria, a search count and also facet information. For more in depth treatment of each paramter, please read the Solr
Documentation. This action accepts a subset of solr’s search query parameters: The following advanced Solr parameters are supported as well. Note that
some of these are only available on particular Solr versions. See Solr’s
dismax and edismax documentation for further details on them: qf, wt, bf, boost, tie, defType, mm q=flood datasets containing the word flood, floods or flooding
fq=tags:economy datasets with the tag economy
facet.field=[""tags""] facet.limit=10 rows=0 top 10 tags The result of this action is a dict with the following keys: An example result: The full solr query language is not exposed, including.",/package_search
ckan.logic.action.get.resource_search,resource_search,ckan.action.get.,"Searches for resources satisfying a given search criteria. It returns a dictionary with 2 fields: count and results.  The
count field contains the total number of Resources found without the
limit or query parameters having an effect.  The results field is a
list of dictized Resource objects. The ‘query’ parameter is a required field.  It is a string of the form
{field}:{term} or a list of strings, each of the same form.  Within
each string, {field} is a field or extra field on the Resource domain
object. If {field} is ""hash"", then an attempt is made to match the
{term} as a prefix of the Resource.hash field. If {field} is an extra field, then an attempt is made to match against
the extra fields stored against the Resource. Note: The search is limited to search against extra fields declared in
the config setting ckan.extra_resource_fields. Note: Due to a Resource’s extra fields being stored as a json blob, the
match is made against the json string representation.  As such, false
positives may occur: If the search criteria is: Then a json blob with the string representation of: will match the search criteria!  This is a known short-coming of this
approach. All matches are made ignoring case; and apart from the ""hash"" field,
a term matches if it is a substring of the field’s value. Finally, when specifying more than one search criteria, the criteria are
AND-ed together. The order parameter is used to control the ordering of the results.
Currently only ordering one field is available, and in ascending order
only. The fields parameter is deprecated as it is not compatible with calling
this action with a GET request to the action API. The context may contain a flag, search_query, which if True will make
this action behave as if being used by the internal search api.  ie - the
results will not be dictized, and SearchErrors are thrown for bad search
queries (rather than ValidationErrors).",/resource_search
ckan.logic.action.get.tag_search,tag_search,ckan.action.get. 'count' 'results',"Return a list of tags whose names contain a given string. By default only free tags (tags that don’t belong to any vocabulary) are
searched. If the vocabulary_id argument is given then only tags
belonging to that vocabulary will be searched instead.",/tag_search
ckan.logic.action.get.tag_autocomplete,tag_autocomplete,ckan.action.get.,"Return a list of tag names that contain a given string. By default only free tags (tags that don’t belong to any vocabulary) are
searched. If the vocabulary_id argument is given then only tags
belonging to that vocabulary will be searched instead.",/tag_autocomplete
ckan.logic.action.get.task_status_show,task_status_show,ckan.action.get.,"Return a task status. Either the id parameter or the entity_id, task_type and
key parameters must be given.",/task_status_show
ckan.logic.action.get.term_translation_show,term_translation_show,ckan.action.get.,Return the translations for the given term(s) and language(s).,/term_translation_show
ckan.logic.action.get.get_site_user,get_site_user,ckan.action.get.,Return the ckan site user,/get_site_user
ckan.logic.action.get.status_show,status_show,ckan.action.get.,Return a dictionary with information about the site’s configuration.,/status_show
ckan.logic.action.get.vocabulary_list,vocabulary_list,ckan.action.get.,Return a list of all the site’s tag vocabularies.,/vocabulary_list
ckan.logic.action.get.vocabulary_show,vocabulary_show,ckan.action.get.,Return a single tag vocabulary.,/vocabulary_show
ckan.logic.action.get.user_activity_list,user_activity_list,ckan.action.get.,Return a user’s public activity stream. You must be authorized to view the user’s profile.,/user_activity_list
ckan.logic.action.get.package_activity_list,package_activity_list,ckan.action.get.,Return a package’s activity stream. You must be authorized to view the package.,/package_activity_list
ckan.logic.action.get.group_activity_list,group_activity_list,ckan.action.get.,Return a group’s activity stream. You must be authorized to view the group.,/group_activity_list
ckan.logic.action.get.organization_activity_list,organization_activity_list,ckan.action.get.,Return a organization’s activity stream.,/organization_activity_list
ckan.logic.action.get.recently_changed_packages_activity_list,recently_changed_packages_activity_list,ckan.action.get.,Return the activity stream of all recently added or changed packages.,/recently_changed_packages_activity_list
ckan.logic.action.get.activity_detail_list,activity_detail_list,ckan.action.get.,Return an activity’s list of activity detail items.,/activity_detail_list
ckan.logic.action.get.user_activity_list_html,user_activity_list_html,ckan.action.get.,"Return a user’s public activity stream as HTML. The activity stream is rendered as a snippet of HTML meant to be included
in an HTML page, i.e. it doesn’t have any HTML header or footer.",/user_activity_list_html
ckan.logic.action.get.package_activity_list_html,package_activity_list_html,ckan.action.get.,"Return a package’s activity stream as HTML. The activity stream is rendered as a snippet of HTML meant to be included
in an HTML page, i.e. it doesn’t have any HTML header or footer.",/package_activity_list_html
ckan.logic.action.get.group_activity_list_html,group_activity_list_html,ckan.action.get.,"Return a group’s activity stream as HTML. The activity stream is rendered as a snippet of HTML meant to be included
in an HTML page, i.e. it doesn’t have any HTML header or footer.",/group_activity_list_html
ckan.logic.action.get.organization_activity_list_html,organization_activity_list_html,ckan.action.get.,"Return a organization’s activity stream as HTML. The activity stream is rendered as a snippet of HTML meant to be included
in an HTML page, i.e. it doesn’t have any HTML header or footer.",/organization_activity_list_html
ckan.logic.action.get.recently_changed_packages_activity_list_html,recently_changed_packages_activity_list_html,ckan.action.get.,"Return the activity stream of all recently changed packages as HTML. The activity stream includes all recently added or changed packages. It is
rendered as a snippet of HTML meant to be included in an HTML page, i.e. it
doesn’t have any HTML header or footer.",/recently_changed_packages_activity_list_html
ckan.logic.action.get.user_follower_count,user_follower_count,ckan.action.get.,Return the number of followers of a user.,/user_follower_count
ckan.logic.action.get.dataset_follower_count,dataset_follower_count,ckan.action.get.,Return the number of followers of a dataset.,/dataset_follower_count
ckan.logic.action.get.group_follower_count,group_follower_count,ckan.action.get.,Return the number of followers of a group.,/group_follower_count
ckan.logic.action.get.organization_follower_count,organization_follower_count,ckan.action.get.,Return the number of followers of an organization.,/organization_follower_count
ckan.logic.action.get.user_follower_list,user_follower_list,ckan.action.get.,Return the list of users that are following the given user.,/user_follower_list
ckan.logic.action.get.dataset_follower_list,dataset_follower_list,ckan.action.get.,Return the list of users that are following the given dataset.,/dataset_follower_list
ckan.logic.action.get.group_follower_list,group_follower_list,ckan.action.get.,Return the list of users that are following the given group.,/group_follower_list
ckan.logic.action.get.organization_follower_list,organization_follower_list,ckan.action.get.,Return the list of users that are following the given organization.,/organization_follower_list
ckan.logic.action.get.am_following_user,am_following_user,ckan.action.get.,"Return True if you’re following the given user, False if not.",/am_following_user
ckan.logic.action.get.am_following_dataset,am_following_dataset,ckan.action.get.,"Return True if you’re following the given dataset, False if not.",/am_following_dataset
ckan.logic.action.get.am_following_group,am_following_group,ckan.action.get.,"Return True if you’re following the given group, False if not.",/am_following_group
ckan.logic.action.get.followee_count,followee_count,ckan.action.get.,"Return the number of objects that are followed by the given user. Counts all objects, of any type, that the given user is following
(e.g. followed users, followed datasets, followed groups).",/followee_count
ckan.logic.action.get.user_followee_count,user_followee_count,ckan.action.get.,Return the number of users that are followed by the given user.,/user_followee_count
ckan.logic.action.get.dataset_followee_count,dataset_followee_count,ckan.action.get.,Return the number of datasets that are followed by the given user.,/dataset_followee_count
ckan.logic.action.get.group_followee_count,group_followee_count,ckan.action.get.,Return the number of groups that are followed by the given user.,/group_followee_count
ckan.logic.action.get.followee_list,followee_list,ckan.action.get.,"Return the list of objects that are followed by the given user. Returns all objects, of any type, that the given user is following
(e.g. followed users, followed datasets, followed groups.. ).",/followee_list
ckan.logic.action.get.user_followee_list,user_followee_list,ckan.action.get.,Return the list of users that are followed by the given user.,/user_followee_list
ckan.logic.action.get.dataset_followee_list,dataset_followee_list,ckan.action.get.,Return the list of datasets that are followed by the given user.,/dataset_followee_list
ckan.logic.action.get.group_followee_list,group_followee_list,ckan.action.get.,Return the list of groups that are followed by the given user.,/group_followee_list
ckan.logic.action.get.organization_followee_list,organization_followee_list,ckan.action.get.,Return the list of organizations that are followed by the given user.,/organization_followee_list
ckan.logic.action.get.dashboard_activity_list,dashboard_activity_list,ckan.action.get.,"Unlike the activity dictionaries returned by other *_activity_list
actions, these activity dictionaries have an extra boolean value with key
is_new that tells you whether the activity happened since the user last
viewed her dashboard ('is_new': True) or not ('is_new': False). The user’s own activities are always marked 'is_new': False.",/dashboard_activity_list
ckan.logic.action.get.dashboard_activity_list_html,dashboard_activity_list_html,ckan.action.get.,"The activity stream is rendered as a snippet of HTML meant to be included
in an HTML page, i.e. it doesn’t have any HTML header or footer.",/dashboard_activity_list_html
ckan.logic.action.get.dashboard_new_activities_count,dashboard_new_activities_count,ckan.action.get.,"Return the number of new activities in the user’s dashboard. Return the number of new activities in the authorized user’s dashboard
activity stream. Activities from the user herself are not counted by this function even
though they appear in the dashboard (users don’t want to be notified about
things they did themselves).",/dashboard_new_activities_count
ckan.logic.action.get.member_roles_list,member_roles_list,ckan.action.get.,Return the possible roles for members of groups and organizations.,/member_roles_list
ckan.logic.action.get.help_show,help_show,ckan.action.get.,Return the help string for a particular API action.,/help_show
ckan.logic.action.get.config_option_show,config_option_show,ckan.action.get.,"Show the current value of a particular configuration option. Only returns runtime-editable config options (the ones returned by
config_option_list()), which can be updated with the
config_option_update() action.",/config_option_show
ckan.logic.action.get.config_option_list,config_option_list,ckan.action.get.,,/config_option_list
ckan.logic.action.get.job_list,job_list,ckan.action.get.,List enqueued background jobs.,/job_list
ckan.logic.action.get.job_show,job_show,ckan.action.get.,Show details for a background job.,/job_show
ckan.logic.action.create.package_create,package_create,ckan.logic.action.create.,"Create a new dataset (package). You must be authorized to create new datasets. If you specify any groups
for the new dataset, you must also be authorized to edit these groups. Plugins may change the parameters of this function depending on the value
of the type parameter, see the
IDatasetForm plugin interface.",/package_create
ckan.logic.action.create.resource_create,resource_create,ckan.logic.action.create.,Appends a new resource to a datasets list of resources.,/resource_create
ckan.logic.action.create.resource_view_create,resource_view_create,ckan.logic.action.create.,Creates a new resource view.,/resource_view_create
ckan.logic.action.create.resource_create_default_resource_views,resource_create_default_resource_views,ckan.logic.action.create.,"Creates the default views (if necessary) on the provided resource The function will get the plugins for the default views defined in
the configuration, and if some were found the can_view method of
each one of them will be called to determine if a resource view should
be created. Resource views extensions get the resource dict and the
parent dataset dict. If the latter is not provided, package_show is called to get it. By default only view plugins that don’t require the resource data to be in
the DataStore are called. See
ckan.logic.action.create.package_create_default_resource_views.`()
for details on the create_datastore_views parameter.",/resource_create_default_resource_views
ckan.logic.action.create.package_create_default_resource_views,package_create_default_resource_views,ckan.logic.action.create.,"Creates the default views on all resources of the provided dataset By default only view plugins that don’t require the resource data to be in
the DataStore are called. Passing create_datastore_views as True will
only create views that require data to be in the DataStore. The first case
happens when the function is called from package_create or
package_update, the second when it’s called from the DataPusher when
data was uploaded to the DataStore.",/package_create_default_resource_views
ckan.logic.action.create.package_relationship_create,package_relationship_create,ckan.logic.action.create.,Create a relationship between two datasets (packages). You must be authorized to edit both the subject and the object datasets.,/package_relationship_create
ckan.logic.action.create.member_create,member_create,ckan.logic.action.create.,"Make an object (e.g. a user, dataset or group) a member of a group. If the object is already a member of the group then the capacity of the
membership will be updated. You must be authorized to edit the group.",/member_create
ckan.logic.action.create.group_create,group_create,ckan.logic.action.create.,"Create a new group. You must be authorized to create groups. Plugins may change the parameters of this function depending on the value
of the type parameter, see the
IGroupForm plugin interface.",/group_create
ckan.logic.action.create.organization_create,organization_create,ckan.logic.action.create.,"Create a new organization. You must be authorized to create organizations. Plugins may change the parameters of this function depending on the value
of the type parameter, see the
IGroupForm plugin interface.",/organization_create
ckan.logic.action.create.rating_create,rating_create,ckan.logic.action.create.,Rate a dataset (package). You must provide your API key in the Authorization header.,/rating_create
ckan.logic.action.create.user_create,user_create,ckan.logic.action.create.,Create a new user. You must be authorized to create users.,/user_create
ckan.logic.action.create.user_invite,user_invite,ckan.logic.action.create.,Invite a new user. You must be authorized to create group members.,/user_invite
ckan.logic.action.create.vocabulary_create,vocabulary_create,ckan.logic.action.create.,Create a new tag vocabulary. You must be a sysadmin to create vocabularies.,/vocabulary_create
ckan.logic.action.create.activity_create,activity_create,ckan.logic.action.create.,Create a new activity stream activity. You must be a sysadmin to create new activities.,/activity_create
ckan.logic.action.create.tag_create,tag_create,ckan.logic.action.create.,"Create a new vocabulary tag. You must be a sysadmin to create vocabulary tags. You can only use this function to create tags that belong to a vocabulary,
not to create free tags. (To create a new free tag simply add the tag to
a package, e.g. using the
package_update() function.)",/tag_create
ckan.logic.action.create.follow_user,follow_user,ckan.logic.action.create.,Start following another user. You must provide your API key in the Authorization header.,/follow_user
ckan.logic.action.create.follow_dataset,follow_dataset,ckan.logic.action.create.,Start following a dataset. You must provide your API key in the Authorization header.,/follow_dataset
ckan.logic.action.create.group_member_create,group_member_create,ckan.logic.action.create.,Make a user a member of a group. You must be authorized to edit the group.,/group_member_create
ckan.logic.action.create.organization_member_create,organization_member_create,ckan.logic.action.create.,Make a user a member of an organization. You must be authorized to edit the organization.,/organization_member_create
ckan.logic.action.create.follow_group,follow_group,ckan.logic.action.create.,Start following a group. You must provide your API key in the Authorization header.,/follow_group
ckan.logic.action.update.resource_update,resource_update,ckan.logic.action.update.,"Update a resource. To update a resource you must be authorized to update the dataset that the
resource belongs to. For further parameters see
resource_create().",/resource_update
ckan.logic.action.update.resource_view_update,resource_view_update,ckan.logic.action.update.,"Update a resource view. To update a resource_view you must be authorized to update the resource
that the resource_view belongs to. For further parameters see resource_view_create().",/resource_view_update
ckan.logic.action.update.resource_view_reorder,resource_view_reorder,ckan.logic.action.update.,Reorder resource views.,/resource_view_reorder
ckan.logic.action.update.package_update,package_update,ckan.logic.action.update.,"Update a dataset (package). You must be authorized to edit the dataset and the groups that it belongs
to. It is recommended to call
ckan.logic.action.get.package_show(), make the desired changes to
the result, and then call package_update() with it. Plugins may change the parameters of this function depending on the value
of the dataset’s type attribute, see the
IDatasetForm plugin interface. For further parameters see
package_create().",/package_update
ckan.logic.action.update.package_resource_reorder,package_resource_reorder,ckan.logic.action.update.,"Reorder resources against datasets.  If only partial resource ids are
supplied then these are assumed to be first and the other resources will
stay in their original order",/package_resource_reorder
ckan.logic.action.update.package_relationship_update,package_relationship_update,ckan.logic.action.update.,"Update a relationship between two datasets (packages). The subject, object and type parameters are required to identify the
relationship. Only the comment can be updated. You must be authorized to edit both the subject and the object datasets.",/package_relationship_update
ckan.logic.action.update.group_update,group_update,ckan.logic.action.update.,"Update a group. You must be authorized to edit the group. Plugins may change the parameters of this function depending on the value
of the group’s type attribute, see the
IGroupForm plugin interface. For further parameters see
group_create().",/group_update
ckan.logic.action.update.organization_update,organization_update,ckan.logic.action.update.,"Update a organization. You must be authorized to edit the organization. For further parameters see
organization_create().",/organization_update
ckan.logic.action.update.user_update,user_update,ckan.logic.action.update.,"Update a user account. Normal users can only update their own user accounts. Sysadmins can update
any user account. For further parameters see
user_create().",/user_update
ckan.logic.action.update.user_generate_apikey,user_generate_apikey,ckan.logic.action.update.,Cycle a user’s API key,/user_generate_apikey
ckan.logic.action.update.task_status_update,task_status_update,ckan.logic.action.update.,Update a task status.,/task_status_update
ckan.logic.action.update.task_status_update_many,task_status_update_many,ckan.logic.action.update.,Update many task statuses at once.,/task_status_update_many
ckan.logic.action.update.term_translation_update,term_translation_update,ckan.logic.action.update.,Create or update a term translation. You must be a sysadmin to create or update term translations.,/term_translation_update
ckan.logic.action.update.term_translation_update_many,term_translation_update_many,ckan.logic.action.update.,Create or update many term translations at once.,/term_translation_update_many
ckan.logic.action.update.vocabulary_update,vocabulary_update,ckan.logic.action.update.,"Update a tag vocabulary. You must be a sysadmin to update vocabularies. For further parameters see
vocabulary_create().",/vocabulary_update
ckan.logic.action.update.dashboard_mark_activities_old,dashboard_mark_activities_old,ckan.logic.action.update.,"Mark all the authorized user’s new dashboard activities as old. This will reset
dashboard_new_activities_count() to 0.",/dashboard_mark_activities_old
ckan.logic.action.update.send_email_notifications,send_email_notifications,ckan.logic.action.update.,"Send any pending activity stream notification emails to users. You must provide a sysadmin’s API key in the Authorization header of the
request, or call this action from the command-line via a paster post ...
command.",/send_email_notifications
ckan.logic.action.update.package_owner_org_update,package_owner_org_update,ckan.logic.action.update.,Update the owning organization of a dataset,/package_owner_org_update
ckan.logic.action.update.bulk_update_private,bulk_update_private,ckan.logic.action.update.,Make a list of datasets private,/bulk_update_private
ckan.logic.action.update.bulk_update_public,bulk_update_public,ckan.logic.action.update.,Make a list of datasets public,/bulk_update_public
ckan.logic.action.update.bulk_update_delete,bulk_update_delete,ckan.logic.action.update.,Make a list of datasets deleted,/bulk_update_delete
ckan.logic.action.update.config_option_update,config_option_update,ckan.logic.action.update.,"Allows to modify some CKAN runtime-editable config options It takes arbitrary key, value pairs and checks the keys against the
config options update schema. If some of the provided keys are not present
in the schema a ValidationError is raised.
The values are then validated against the schema, and if validation is
passed, for each key, value config option: The following lists a key parameter, but this should be replaced by
whichever config options want to be updated, eg:",/config_option_update
ckan.logic.action.patch.package_patch,package_patch,ckan.logic.action.patch.,"Patch a dataset (package). The difference between the update and patch methods is that the patch will
perform an update of the provided parameters, while leaving all other
parameters unchanged, whereas the update methods deletes all parameters
not explicitly provided in the data_dict You must be authorized to edit the dataset and the groups that it belongs
to.",/package_patch
ckan.logic.action.patch.resource_patch,resource_patch,ckan.logic.action.patch.,"Patch a resource The difference between the update and patch methods is that the patch will
perform an update of the provided parameters, while leaving all other
parameters unchanged, whereas the update methods deletes all parameters
not explicitly provided in the data_dict",/resource_patch
ckan.logic.action.patch.group_patch,group_patch,ckan.logic.action.patch.,"Patch a group The difference between the update and patch methods is that the patch will
perform an update of the provided parameters, while leaving all other
parameters unchanged, whereas the update methods deletes all parameters
not explicitly provided in the data_dict",/group_patch
ckan.logic.action.patch.organization_patch,organization_patch,ckan.logic.action.patch.,"Patch an organization The difference between the update and patch methods is that the patch will
perform an update of the provided parameters, while leaving all other
parameters unchanged, whereas the update methods deletes all parameters
not explicitly provided in the data_dict",/organization_patch
ckan.logic.action.delete.user_delete,user_delete,ckan.logic.action.delete.,Delete a user. Only sysadmins can delete users.,/user_delete
ckan.logic.action.delete.package_delete,package_delete,ckan.logic.action.delete.,"Delete a dataset (package). This makes the dataset disappear from all web & API views, apart from the
trash. You must be authorized to delete the dataset.",/package_delete
ckan.logic.action.delete.dataset_purge,dataset_purge,ckan.logic.action.delete.,"Purge a dataset. Purging a database completely removes the dataset from the CKAN database,
whereas deleting a dataset simply marks the dataset as deleted (it will no
longer show up in the front-end, but is still in the db). You must be authorized to purge the dataset.",/dataset_purge
ckan.logic.action.delete.resource_delete,resource_delete,ckan.logic.action.delete.,Delete a resource from a dataset. You must be a sysadmin or the owner of the resource to delete it.,/resource_delete
ckan.logic.action.delete.resource_view_delete,resource_view_delete,ckan.logic.action.delete.,Delete a resource_view.,/resource_view_delete
ckan.logic.action.delete.resource_view_clear,resource_view_clear,ckan.logic.action.delete.,"Delete all resource views, or all of a particular type.",/resource_view_clear
ckan.logic.action.delete.package_relationship_delete,package_relationship_delete,ckan.logic.action.delete.,"Delete a dataset (package) relationship. You must be authorised to delete dataset relationships, and to edit both
the subject and the object datasets.",/package_relationship_delete
ckan.logic.action.delete.member_delete,member_delete,ckan.logic.action.delete.,"Remove an object (e.g. a user, dataset or group) from a group. You must be authorized to edit a group to remove objects from it.",/member_delete
ckan.logic.action.delete.group_delete,group_delete,ckan.logic.action.delete.,Delete a group. You must be authorized to delete the group.,/group_delete
ckan.logic.action.delete.organization_delete,organization_delete,ckan.logic.action.delete.,Delete an organization. You must be authorized to delete the organization.,/organization_delete
ckan.logic.action.delete.group_purge,group_purge,ckan.logic.action.delete.,"Purge a group. Purging a group completely removes the group from the CKAN database,
whereas deleting a group simply marks the group as deleted (it will no
longer show up in the frontend, but is still in the db). Datasets in the organization will remain, just not in the purged group. You must be authorized to purge the group.",/group_purge
ckan.logic.action.delete.organization_purge,organization_purge,ckan.logic.action.delete.,"Purge an organization. Purging an organization completely removes the organization from the CKAN
database, whereas deleting an organization simply marks the organization as
deleted (it will no longer show up in the frontend, but is still in the
db). Datasets owned by the organization will remain, just not in an
organization any more. You must be authorized to purge the organization.",/organization_purge
ckan.logic.action.delete.task_status_delete,task_status_delete,ckan.logic.action.delete.,Delete a task status. You must be a sysadmin to delete task statuses.,/task_status_delete
ckan.logic.action.delete.vocabulary_delete,vocabulary_delete,ckan.logic.action.delete.,Delete a tag vocabulary. You must be a sysadmin to delete vocabularies.,/vocabulary_delete
ckan.logic.action.delete.tag_delete,tag_delete,ckan.logic.action.delete.,Delete a tag. You must be a sysadmin to delete tags.,/tag_delete
ckan.logic.action.delete.unfollow_user,unfollow_user,ckan.logic.action.delete.,Stop following a user.,/unfollow_user
ckan.logic.action.delete.unfollow_dataset,unfollow_dataset,ckan.logic.action.delete.,Stop following a dataset.,/unfollow_dataset
ckan.logic.action.delete.group_member_delete,group_member_delete,ckan.logic.action.delete.,Remove a user from a group. You must be authorized to edit the group.,/group_member_delete
ckan.logic.action.delete.organization_member_delete,organization_member_delete,ckan.logic.action.delete.,Remove a user from an organization. You must be authorized to edit the organization.,/organization_member_delete
ckan.logic.action.delete.unfollow_group,unfollow_group,ckan.logic.action.delete.,Stop following a group.,/unfollow_group
ckan.logic.action.delete.job_clear,job_clear,ckan.logic.action.delete.,Clear background job queues. Does not affect jobs that are already being processed.,/job_clear
ckan.logic.action.delete.job_cancel,job_cancel,ckan.logic.action.delete.,Cancel a queued background job. Removes the job from the queue and deletes it.,/job_cancel


Type,Local Number,Message,Field 1,Value 1,Units 1,Field 2,Value 2,Units 2,Field 3,Value 3,Units 3,Field 4,Value 4,Units 4,Field 5,Value 5,Units 5,Field 6,Value 6,Units 6,
Definition,0,file_id,manufacturer,1,,type,1,,product,1,,serial_number,1,,
Data,0,file_id,manufacturer,"15",,type,"4",,garmin_product,"9001",,serial_number,"1701",,
Definition,0,developer_data_id,application_id,16,,developer_data_index,1,,,,,,,,
Data,0,developer_data_id,application_id,"1|1|2|3|5|8|13|21|34|55|89|144|233|121|98|219",,developer_data_index,"0",,,,,,,,
Definition,0,field_description,developer_data_index,1,,field_definition_number,1,,fit_base_type_id,1,,field_name,17,,units,10,,
Data,0,field_description,developer_data_index,"0",,field_definition_number,"0",,fit_base_type_id,"1",,field_name,"doughnuts_earned",,units,"doughnuts",,
Definition,0,record,heart_rate,1,,cadence,1,,distance,1,,speed,1,,doughnuts_earned,1,,
Data,0,record,heart_rate,"140",bpm,cadence,"88",rpm,distance,"510.0",m,speed,"47.488",m/s,enhanced_speed,"47.488",m/s,doughnuts_earned,"1",doughnuts,
Data,0,record,heart_rate,"143",bpm,cadence,"90",rpm,distance,"2080.0",m,speed,"36.416",m/s,enhanced_speed,"36.416",m/s,doughnuts_earned,"2",doughnuts,
Data,0,record,heart_rate,"144",bpm,cadence,"92",rpm,distance,"3710.0",m,speed,"35.344",m/s,enhanced_speed,"35.344",m/s,doughnuts_earned,"3",doughnuts,


,Date,Study,Study Link,Journal,Study Type,Factors,Influential,Excerpt,Measure of Evidence,Added on
0,2020-04-27,Proactive social distancing mitigates COVID-19 outbreaks within a month across 58 mainland China cities,https://www.medrxiv.org/content/10.1101/2020.04.22.20075762v2.full.pdf,MedRxiv,Modeling Study,gathering bans; suspension of intra-city public transport; public service restrictions; case isolation; suspension of travel between cities; quarantine and social distancing,Y,"N/A; after the implementation of social distancing interventions, with an average reduction in the reproduction number (Rt) of 54.3% (SD 17.6%) over that time period","Countries: China; Timeline:  February 14, 2020",05/11/2020
1,2020-04-22,Impact of Social Distancing Measures on COVID-19 Healthcare Demand in Central Texas,https://www.medrxiv.org/content/10.1101/2020.04.16.20068403v1,MedRxiv,Modeling Study,school closures coupled with social distancing,Y,"ICU bed demand: 2,121 (95% CI: 2,018-2,208); ICU bed demand: 698 (95% CI: 204-1,100) with 75% social distancing and 136 (95% CI: 38-308) with 90% social distancing","Countries: Texas, United States; Timeline: August 15th, 2020",05/11/2020
2,2020-04-14,A Stratified Model to Quantify the Effects of Containment Policies on the Spread of COVID-19,https://doi.org/10.1101/2020.04.10.20060681,medRxiv,Modeling Study,"schools and universities closed + elderly social distancing: interactions of [0-20] age groups decreases to 20%, interactions of 70+ age groups decreases to 25%",Y,uncontained: eventual removed ratio 65.29%; maximum instantaneous infectious ratio 11.03%; R0 2.28; schools closed and elderly social distancing: eventual removed ratio 39.08%; maximum instantaneous infectious ratio 5.60%; R0 1.68,Countries: Iran Timeline: first 90 days COVID-19 spread,04/19/2020
3,2020-04-14,A Stratified Model to Quantify the Effects of Containment Policies on the Spread of COVID-19,https://doi.org/10.1101/2020.04.10.20060681,medRxiv,Modeling Study,"schools, offices, and companies closed : interactions of [0-20] age groups decreases to 20% and interactions of [20-70] age range decreases to 50%",Y,"uncontained: eventual removed ratio 65.29%; maximum instantaneous infectious ratio 11.03%; R0 2.28; schools, offices, and companies closed: eventual removed ratio 24.97%; maximum instantaneous infectious ratio 3.98%; R0 1.49",Countries: Iran Timeline: first 90 days COVID-19 spread,04/19/2020
4,2020-04-06,Sustainable social distancing through facemask use and testing during the Covid-19 pandemic,https://www.medrxiv.org/content/10.1101/2020.04.01.20049981v3,medRxiv,Modeling Study,"social protection (e.g., facemask use, handwashing) and self-isolation after testing positive (TTI)",Y,"R0 has been estimated at 2.4; 65% effective social protection R < 1; , 20% effective social protection brings the reproduction number below 1.0 so long as 75% of the symptomatic population is covered by TTI within 12 hours of symptom onset (Fig. 1A and Appendix). Even with 20% effective social protection, TTI of 1 in 4 symptomatic individuals can substantially “flatten the curve”, cutting the peak daily incidence in half",individuals : 10000000; Timeline: Unknown,04/15/2020
5,2020-03-30,"General Model for COVID-19 Spreading with Consideration of Intercity Migration, Insufficient Testing and Active Intervention: Application to Study of Pandemic Progression in Japan and USA",https://doi.org/10.1101/2020.03.25.20043380,medRxiv,Modeling Study,intercity travel and active intervention,Y,"if the level of active intervention is kept unchanged, the percentage of population eventually infected in Osaka-fu and Tokyo-to will reach around 12% and 4.2% of the population (around 2,300,000 and 600,000 people), respectively, and in total, Japan will have about 6.55% of its population eventually infected, if the level of active intervention remains at the status quo in the coming months, with California and New York state having around 15% and 37.5% of their population (5,800,000 and 7,300,000 people) eventually infected, respectively, and the overall infected population will reach 18.2%; implementing a four-fold elevated active intervention will improve the situation substantially, with the percentage of population infected in Osaka-fu and Tokyo-to reduced to 4.2% and 2.3%, respectively, and over 75% reduction in the overall number of infected cases in Japan, by implementing four-fold elevated active intervention, the percentage of infected population in the USA can be reduced to 9.3%.","Countries: Japan, USA; Timeline: Jan 15th - March 20th",04/11/2020
6,2020-03-25,"The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study The Lancet Public Health",https://doi.org/10.1016/S2468-2667(20)30073-6,Lancet Pub Health,Modeling Study,physical distancing measures with staggered return to work,Y,N/A; Physical distancing measures were most effective if the staggered return to work was at the beginning of April; this reduced the median number of infections by more than 92% (IQR 66–97) and 24% (13–90) in mid-2020 and end-2020,countries: China; cities: Wuhan; timeline: 1 year,04/10/2020
7,2020-03-23,Interventions to mitigate early spread of SARS-CoV-2 in Singapore: a modelling study The Lancet Infectious Diseases,https://www.thelancet.com/journals/lancet/article/PIIS1473-3099(20)30162-6/fulltext,Lancet Infect Dis,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"For the baseline scenario, when R0 was 1·5, the median cumulative number of infections at day 80 was 279 000 (IQR 245 000–320 000), corresponding to 7·4% (IQR 6·5–8·5) of the resident population of Singapore. The median number of infections increased with higher infectivity: 727 000 cases (670 000–776 000) when R0 was 2·0, corresponding to 19·3% (17·8–20·6) of the Singaporean population, and 1 207 000 cases (1 164 000–1 249 000) when R0 was 2·5, corresponding to 32% (30·9–33·1) of the Singaporean population; Compared with the baseline scenario, the combined intervention was the most effective, reducing the estimated median number of infections by 99·3% (IQR 92·6–99·9) when R0 was 1·5, by 93·0% (81·5–99·7) when R0 was 2·0, and by 78·2% (59·0 −94·4) when R0 was 2·5. Assuming increasing asymptomatic fractions up to 50·0%, up to 277 000 infections were estimated to occur at day 80 with the combined intervention relative to 1800 for the baseline at R0 of 1·5.",Countries: Singapore; Timeline: Day 80,04/08/2020
8,2020-03-23,Effectiveness and cost-effectiveness of public health measures to control COVID-19: a modelling study,https://doi.org/10.1101/2020.03.20.20039644,medRxiv,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"N/A; The effective reproduction number (Re) was 1.84 (95%CI: 1.81, 1.87) and 3.80 (95%CI: 3.53, 4.06) respectively when the transmission constant was one in scenario I and II (Additional file 1: Table S4). Varying the transmission constant from the 0.25 to two, the isolation-and-quarantine was the most cost-effective single intervention, and program A was the most cost-effective joint intervention.",-,04/08/2020
9,2020-03-23,The Effectiveness of Social Distancing in Mitigating COVID-19 Spread: a modelling analysis,https://doi.org/10.1101/2020.03.20.20040055,medRxiv,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"66% infection rate (179,788 infected individuals) - no activation delay, SC = school closure , CI = case isolation, WN = workplace non-attendance , CCR = community contact reduction ; ""SC + CI + 50% WN + 30% CCR: 1.14% IR (3,094), SC + CI + 90% WN + 70% CCR: 0.42% IR (1,131) """,Countries: Australia; cities: Newcastle; Timeline: 10 weeks,04/08/2020
10,2020-03-23,The Effectiveness of Social Distancing in Mitigating COVID-19 Spread: a modelling analysis,https://doi.org/10.1101/2020.03.20.20040055,medRxiv,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"1 week delay: SC + CI + 50% WN + 30% CCR: 1.11% IR (3,015); SC + CI + 90% WN + 70% CCR: 0.42% IR (1,151)",Countries: Australia; cities: Newcastle; Timeline: 10 weeks,04/08/2020
11,2020-03-23,The Effectiveness of Social Distancing in Mitigating COVID-19 Spread: a modelling analysis,https://doi.org/10.1101/2020.03.20.20040055,medRxiv,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"2 week delay: SC + CI + 50% WN + 30% CCR: 1.15% IR (3,140); SC + CI + 90% WN + 70% CCR: 0.43% IR (1,166)",Countries: Australia; cities: Newcastle; Timeline: 10 weeks,04/08/2020
12,2020-03-23,The Effectiveness of Social Distancing in Mitigating COVID-19 Spread: a modelling analysis,https://doi.org/10.1101/2020.03.20.20040055,medRxiv,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"3 week delay: SC + CI + 50% WN + 30% CCR: 1.21% IR (3,302); SC + CI + 90% WN + 70% CCR: 0.46% IR (1,255)",Countries: Australia; cities: Newcastle; Timeline: 10 weeks,04/08/2020
13,2020-03-23,The Effectiveness of Social Distancing in Mitigating COVID-19 Spread: a modelling analysis,https://doi.org/10.1101/2020.03.20.20040055,medRxiv,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"4 week delay: SC + CI + 50% WN + 30% CCR: 1.34% IR (3,642); SC + CI + 90% WN + 70% CCR: 0.52% IR (1,414)",Countries: Australia; cities: Newcastle; Timeline: 10 weeks,04/08/2020
14,2020-03-23,The Effectiveness of Social Distancing in Mitigating COVID-19 Spread: a modelling analysis,https://doi.org/10.1101/2020.03.20.20040055,medRxiv,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"5 week delay: SC + CI + 50% WN + 30% CCR: 1.61% IR (4,384); SC + CI + 90% WN + 70% CCR: 0.64% IR (1,730)",Countries: Australia; cities: Newcastle; Timeline: 10 weeks,04/08/2020
15,2020-03-23,The Effectiveness of Social Distancing in Mitigating COVID-19 Spread: a modelling analysis,https://doi.org/10.1101/2020.03.20.20040055,medRxiv,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"6 week delay: SC + CI + 50% WN + 30% CCR: 2.11% IR (5,735); SC + CI + 90% WN + 70% CCR: 0.84% IR (2,229)",Countries: Australia; cities: Newcastle; Timeline: 10 weeks,04/08/2020
16,2020-03-23,The Effectiveness of Social Distancing in Mitigating COVID-19 Spread: a modelling analysis,https://doi.org/10.1101/2020.03.20.20040055,medRxiv,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"7 week delay: SC + CI + 50% WN + 30% CCR: 2.87% IR (7,811); SC + CI + 90% WN + 70% CCR: 1.21% IR (3,309)",Countries: Australia; cities: Newcastle; Timeline: 10 weeks,04/08/2020
17,2020-03-23,The Effectiveness of Social Distancing in Mitigating COVID-19 Spread: a modelling analysis,https://doi.org/10.1101/2020.03.20.20040055,medRxiv,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"8 week delay: SC + CI + 50% WN + 30% CCR: 4.33% IR (11,800); SC + CI + 90% WN + 70% CCR: 1.85% IR (5,034)",Countries: Australia; cities: Newcastle; Timeline: 10 weeks,04/08/2020
18,2020-03-23,The Effectiveness of Social Distancing in Mitigating COVID-19 Spread: a modelling analysis,https://doi.org/10.1101/2020.03.20.20040055,medRxiv,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"9 week delay: SC + CI + 50% WN + 30% CCR: 6.49% IR (17,672)SC + CI + 90% WN + 70% CCR: 2.95% IR (8,041)",Countries: Australia; cities: Newcastle; Timeline: 10 weeks,04/08/2020
19,2020-03-23,The Effectiveness of Social Distancing in Mitigating COVID-19 Spread: a modelling analysis,https://doi.org/10.1101/2020.03.20.20040055,medRxiv,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"10 week delay: SC + CI + 50% WN + 30% CCR: 9.51% IR (25,904); SC + CI + 90% WN + 70% CCR: 4.76% IR (12,966)",Countries: Australia; cities: Newcastle; Timeline: 10 weeks,04/08/2020
20,2020-03-19,Impact of self-imposed prevention measures and short-term government intervention on mitigating and delaying a COVID-19 epidemic,https://www.medrxiv.org/content/10.1101/2020.03.12.20034827v3,medRxiv,Modeling Study,school closures; case isolation; workplace non-attendance; community contact reduction,Y,"Baseline model predicts 46 diagnoses per 1000 individuals at the peak of the 199 epidemic, an attack rate of about 16% and the time to the peak of about 5.2 months; 65% reduction in the peak number of diagnoses, a 29% decrease in the 208 attack rate, and a delay in peak timing of 2.7 months",Countries: Netherlands; Timeline: Unknown,04/29/2020
21,2020-03-13,Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data,https://doi.org/10.1101/2020.03.11.20034314,medRxiv,Modeling Study,implementation of the major public policy interventions,Y,"The total reported cases is approximately 4, 500 and the total unreported cases is approximately 1, 100; Total reported cases with implementation delayed by one week 820,000 and unreported 200,900",Countries: Mainland China; Timeline: Jan 20th - Jan 29th,04/10/2020
22,2020-03-11,Modeling the epidemic dynamics and control of COVID-19 outbreak in China,https://doi.org/10.1007/s40484-020-0199-0,Quantitative Biology,Modeling Study,strict quarantine and traffic control measures,Y,Ro = 4.7092; Ro = 0.7575,Countries: China cities: Wuhan; Timeline: Jan 30th - Feb 15th 2020,04/11/2020
23,2020-03-11,Modeling the epidemic dynamics and control of COVID-19 outbreak in China,https://doi.org/10.1007/s40484-020-0199-0,Quantitative Biology,Modeling Study,strict quarantine and traffic control measures,Y,Ro =  5.934; Ro = 0.6079,"Countries: China Hubei (excluding Wuhan), China; Timeline: Jan 30th - Feb 15th 2020",
24,2020-03-11,Modeling the epidemic dynamics and control of COVID-19 outbreak in China,https://doi.org/10.1007/s40484-020-0199-0,Quantitative Biology,Modeling Study,strict quarantine and traffic control measures,Y,Ro =  1.5283; Ro = 0.5753,Countries: China mainland (excluding Hubei); Timeline: Jan 30th - Feb 15th 2020,
25,2020-03-11,Modeling the epidemic dynamics and control of COVID-19 outbreak in China,https://doi.org/10.1007/s40484-020-0199-0,Quantitative Biology,Modeling Study,strict quarantine and traffic control measures,Y,Ro =  0.884; Ro = 0.5254,Countries: China cities: Beijing; Timeline: Jan 30th - Feb 15th 2020,
26,2020-03-11,Modeling the epidemic dynamics and control of COVID-19 outbreak in China,https://doi.org/10.1007/s40484-020-0199-0,Quantitative Biology,Modeling Study,strict quarantine and traffic control measures,Y,Ro =  3.6288; Ro =  0.5104,Countries: China cities: Shanghai; Timeline: Jan 30th - Feb 15th 2020,
27,2020-03-11,Modeling the epidemic dynamics and control of COVID-19 outbreak in China,https://doi.org/10.1007/s40484-020-0199-0,Quantitative Biology,Modeling Study,strict quarantine and traffic control measures,Y,Ro = 1.2026; Ro = 0.5082,Countries: China cities: Guangzhou; Timeline: Jan 30th - Feb 15th 2020,
28,2020-03-11,Modeling the epidemic dynamics and control of COVID-19 outbreak in China,https://doi.org/10.1007/s40484-020-0199-0,Quantitative Biology,Modeling Study,strict quarantine and traffic control measures,Y,Ro =  5.934; Ro = 0.5331,Countries: China cities: Shenzhen; Timeline: Jan 30th - Feb 15th 2020,
29,2020-03-09,"The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study",https://doi.org/10.1016/S2468-2667(20)30073-6,medRxiv,Modeling Study,non-pharmaceutical physical distancing interventions i.e. school closures and workplace distancing,Y,N/A; Physical distancing measures were most effective if the staggered return to work was at the beginning of April; this reduced the median number of infections by more than 92% (IQR 66–97) and 24% (13–90) in mid-2020 and end-2020,Countries: China cities: Wuhan; Timeline: Jan-18th - April 2020,4/10/20
30,2020-03-06,The impact of social distancing and epicenter lockdown on the COVID-19 epidemic in mainland China: A data-driven SEIQR model study,https://doi.org/10.1101/2020.03.04.20031187,medRxiv,Modeling Study,social distancing and epicenter lockdown,Y,"N/A;  With 30 days of substantial social distancing, the reproductive number in Wuhan and Hubei was reduced from 2.2 (95%-CI: 1.4~3.9) to 1.58 (95%-CI: 1.34~2.07), and in other provinces from 2.56 (95%-CI: 2.43~2.63) to 1.65 (95%-CI: 1.56~1.76)",Countries: China; provinces: Hubei; Timeline: Jan 18th- Feb 18th,04/30/2020
31,2020-03-06,Effect of non-pharmaceutical interventions for containing the COVID-19 outbreak in China,https://doi.org/10.1101/2020.03.03.20029843,medRxiv,Modeling Study,"inter-city travel restriction, inner-city contact reduction, case early detection and isolation",Y,"114,325 COVID-19 cases ( [IQR] 76,776 - 164,576); Without NPIs, the number of COVID-19 cases would likely have shown a 67-fold increase (IQR: 44 - 94), with the effectiveness of different interventions varying",,04/08/2020
32,2020-03-06,"Evolving Epidemiology and Impact of Non-pharmaceutical Interventions on the Outbreak of Coronavirus Disease 2019 in Wuhan, China",https://doi.org/10.1101/2020.03.03.20030593,medRxiv,Modeling Study,"social distancing measures and policies of controlling the source of infection with joint efforts from the government, healthcare workers, and the people",Y,3.86 reproduction number (95% credible interval 3.74 to 3.97); 0.32 reproduction number (95% credible interval 0.28 to 0.37),Countries: China; cities: Wuhan; Timeline: Jan 11th - Feb 18th,04/15/2020
33,2020-03-03,A simple model to assess Wuhan lock-down effect and region efforts during COVID-19 epidemic in China Mainland,https://doi.org/10.1101/2020.02.29.20029561,medRxiv,Modeling Study,Wuhan lock-down combined with nationwide traffic restrictions and Stay At Home Movement,Y,"N/A ;even the lock-down date only in advance 3 days with normal and strict strength, the estimated number will reduce 30.74% (21,245 cases) and 48.59% (15,768 cases), respectively","Countries: China cities: Wuhan, Non-Wuhan Region; Timeline: January 24 - February 15, 2020",04/15/2020
34,2020-02-13,"Early epidemiological assessment of the transmission potential and virulence of coronavirus disease 2019 (COVID-19) in Wuhan City: China, January-February, 2020",https://doi.org/10.1101/2020.02.12.20022434,medRxiv,Modeling Study,enhanced public health intervention,Y,"Our posterior estimates of basic reproduction number (R) in Wuhan City, China in 46 2019–2020 reached values as high as 5.20 (95%CrI: 5.04–5.47);  the enhanced public health intervention after January 23rd 47 in 2020 was associated with a declined R at 0.58 48 (95%CrI: 0.51–0.64)",Countries: China cities: Wuhan; Timeline: January 23rd 2020,04/15/2020
35,2020-02-12,Simulating the infected population and spread trend of 2019-nCov under different policy by EIR model medrxiv,https://doi.org/10.1101/2020.02.10.20021519,medRxiv,Modeling Study,"government quarantine prevention measures i.e. mass gathering cancellations, spring semester postponement",Y,"with 100% quarantined rate Peak date: Feb 16th with 49,093 individuals confirmed; Peak date: Feb 16th with 49,093 individuals confirmed","Countries: Mainland China; Timeline: Dec. 1, 2019 - Apr. 30, 2020",04/15/2020
36,2020-02-12,Simulating the infected population and spread trend of 2019-nCov under different policy by EIR model medrxiv,https://doi.org/10.1101/2020.02.10.20021519,medRxiv,Modeling Study,"government quarantine prevention measures i.e. mass gathering cancellations, spring semester postponement",Y,"90% quarantined rate; Peak date: Feb 17th with 51,605 individuals confirmed",,
37,2020-02-12,Simulating the infected population and spread trend of 2019-nCov under different policy by EIR model medrxiv,https://doi.org/10.1101/2020.02.10.20021519,medRxiv,Modeling Study,"government quarantine prevention measures i.e. mass gathering cancellations, spring semester postponement",Y,"80% quarantined rate; Peak date: Feb 18th with 55,059 individuals confirmed",,
38,2020-02-12,Simulating the infected population and spread trend of 2019-nCov under different policy by EIR model medrxiv,https://doi.org/10.1101/2020.02.10.20021519,medRxiv,Modeling Study,"government quarantine prevention measures i.e. mass gathering cancellations, spring semester postponement",Y,"70% quarantined rate; Peak date: Feb 19th with 59,953 individuals confirmed",,
39,2020-02-12,Simulating the infected population and spread trend of 2019-nCov under different policy by EIR model medrxiv,https://doi.org/10.1101/2020.02.10.20021519,medRxiv,Modeling Study,"government quarantine prevention measures i.e. mass gathering cancellations, spring semester postponement",Y,"63% quarantined rate; Peak date: Feb 20th with 64,740 individuals confirmed",,
40,2020-02-11,Spatially Explicit Modeling of 2019-nCoV Epidemic Trend based on Mobile Phone Data in Mainland China,https://doi.org/10.1101/2020.02.09.20021360,medRxiv,Modeling Study,"self-isolation, quaratine, current control efforts",Y,"the current trend maintained, control efforts expanded, and person-to-person contact increased due to work resuming. We estimated that the total infections in mainland China would be 72172, 54348, and 149774 by March 12, 2020 under each scenario respectively; if the current trend is maintained (scenario 1), 95.4% cities can eliminate the disease by the end of February and all of them can succeed by March 12. With control efforts expanded (scenario 2), all cities except Wuhan will completely control the disease by the end of February. However, only 75.7% cities can completely win the battle against 2019-nCoV by the end of February if person-to-person contacts increase due to work resuming (scenario 3)","Countries: China; Timeline: Feb 29th, 2020",04/15/2020


type,rank,category,item_name,short_description,long_description,allocation,amount,reaction,reaction_amount
spend,1,Health,the National Health Mission,Raise allocation for the National Health Mission (NHM),"Among major economies, India is an outlier when it comes to health spending, with less than 2 percent of gross domestic product (GDP) allocated to health. This has contributed to a high disease burden in the country, and has pushed millions into poverty.",26691,".5,1",,
spend,2,Justice,the judiciary,Raise allocation for judiciary,"The pendency rate in India's courts has been rising with each passing year (http://www.livemint.com/Politics/1vsBJNtsqgpzUlV31BbmWL/Why-the-wheels-of-justice-turn-ever-slower-in-India.html). One reason for this is weak judicial infrastructure, and lack of enough judges.",1062,".5,1",,
spend,3,Law and order,modernising the police force,Modernise police force,"Law and order is a state subject but given critical weaknesses in states' policing infrastructure as well as the federal nature of several organized crime rackets, the Centre should assist in modernizing the police forces and in upgrading police infrastructure.",2022,".5,1",,
spend,4,School education,schools,Raise allocation for schools (Sarva Shiksha Abhiyan),"The schooling mission has missed two deadlines for universal schooling, once in 2013 and again in 2015. And while enrollment rates have been rising, learning outcomes continue to remain poor. Higher spending based on a plan to improve learning outcomes is vital to equalize opportunities across income classes and social groups, and to secure the future of the country.",23500,".5,1",,
spend,5,Pollution control,the Central Pollution Control Board,Raise allocation for the Central Pollution Control Board,"Pollution has reached crises levels in many parts of the country. There is a need to empower the pollution control board and give it adequate resources to tackle the problem. At the very least, it should be able to monitor the <a href='https://thenounproject.com/search/?q=pollution&i=1437618'>levels of pollution accurately in areas beyond the National Capital Region (NCR)</a>.",74,".5,1,3",,
spend,6,Better data and monitoring,the Ministry of Statistics and Program Implementation,Raise allocation for the Ministry of Statistics and Program Implementation,"Once the envy of the world, India's statistical system has decayed over the years. In a democracy, it is imperative to have accurate, credible, open, and timely data on important socio-economic indicators. Data is the key to ensure that funds spent across departments and ministries are leading to the desired outcomes. The only way to ensure this is to have a high-quality and autonomous statistics office: both these aspects need attention.",4796,".5,1",,
spend,7,Pensions,the National Old Age Pension Scheme,Raise allocation for the National Old Age Pension Scheme (NOAPS),"Last month, 60 economists wrote to the Finance Minister urging him to raise social sector outlays in the upcoming Budget. On top of their list was higher allocation for the NOAPS program. &ldquo;NOAPS is a good scheme (with low leakages and administrative costs) that reaches some of the poorest members of society,&rdquo; the letter said. All individuals above the age of 60 who live below the poverty line are eligible for this scheme.",6127,".5,1",,
spend,8,Rural roads,rural roads,Raise allocation for rural roads (Pradhan Mantri Gram Sadak Yojana),"Rural roads tend to have a multiplier effect on rural incomes, and tend to boost wages and productivity, according to economists.",19000,".5,1",,
spend,9,Rural electrification,rural electrification,Raise allocation for rural electrification (Deen Dayal Upadhyaya Gram Jyoti Yojna),"Access to power can transform lives and businesses, and enable the use of a number of time-saving devices, boosting productivity in the hinterlands. One of the early successes of China was its extensive rural electrification program before its growth take-off.",4814,".5,1",,
spend,10,Modernize defence forces,modernising defence forces,Raise defence capital outlay,"According to defence experts, India's defence forces are crying for modernization. Surrounded by two nuclear powers, India cannot afford to take its defence requirements lightly.",86488,".5,1",,
spend,11,Agricultural Extension,hiring and training farm extension workers,Hire and train more farm extension workers,"Farm extension workers are frontline workers of the agricultural research establishment, who desseminate research findings, and help farmers cope with the growing risks involved in farming. Their services are essential to raise farm incomes, and yet spending on the agricultural extension scheme was slashed drastically in the last Union budget.",233,".5,1,3",,
spend,12,Digital India,modernising land records,Modernise land records,"Rural India's bane is the lack of land titles and poor record-keeping. Launched in 2008, the Digital India Land Records Modernisation Programme aims to correct this. Accurate land records could enable land leasing, speed up transactions, and stimulate rural investments.",150,".5,1,3",,
cut,1,Energy and Climate change,fuel subsidies,Reduce fuel subsidies,A large chunk of fuel subsidies benefit the rich. They also thwart efforts to fight climate change.,25000,".5,1","Eliminating fuel subsidies completely is likely to hit a section of the poor, who depend on kerosene.",1
cut,2,Farming,feriliser subsidies,Cut fertiliser subsidies,"According to economists, fertilizer subsidies are regressive, benefiting large farmers in irrigated parts of the country much more than small and marginal farmers in rain-fed parts of the country.",70000,".5,1","Big farmers are not going to be happy with fertiliser subisdy cuts, and they could make for inconvenient opponents come next election.",".5,1"
cut,3,Separation of powers,MPLAD,Scrap or cut back on the Member of Parliament Local Area Development (MPLAD) scheme,"The Member of Parliament Local Area Development (MPLAD) scheme has been plagued by corruption ever since it started in 1993. Perhaps more importantly, it challenges the constitutional separation of duties of different arms of the sovereign. The MPLAD scheme &ldquo;seriously erode[s] the notion of separation of powers, as the legislator directly becomes the executive,&rdquo; the Second Administrative Reforms Commission <a href='http://arc.gov.in/4threport.pdf'>said in 2007</a>.",3950,".5,1",Scrapping MPLAD is likely to upset your local representative. Be careful about making powerful enemies.,1
cut,4,Communication,BharatNet,Scrap or cut back on BharatNet,BharatNet is a government-funded broadband provider founded in 2012. It has already missed a December 2017 deadline to connect all Gram Panchayats. It also seems redundant given the decline in telecom tariffs and rising penetration of private telecom providers.,10000,".5,1",,
cut,5,Publicity,information and publicity,Cut support for information and publicity,"The government should let its work speak for itself, and cut back on publicity for schemes which do not require a mass media outreach program.",860.4,".5,1",,
cut,6,Broadcasting,the public broadcaster,Reduce support for the public broadcaster,The government should corporatize Prasar Bharti and force it to raise resources on its own.,3427,".5,1",,
cut,7,Art and Culture,promoting art and culture,Reduce support for promoting art and culture,"As in many other economies, private firms and wealthy patrons should be roped in to promote the arts, allowing the state to exit from a non-core function.",2461.05,".5,1","There could be a public outcry if you eliminate support for arts and culture. Even though it is not much money, many citizens care deeply about public funding for arts.",1
cut,8,Scientific temper,National AYUSH Mission,Scrap the National AYUSH Mission,"The government's promotion of homeopathy is at odds with scientific evidence that disputes its efficacy. By eliminating budgetary support to this scheme, the government would help develop scientific temper, which is one of the fundamental duties of every Indian citizen, according to the Indian Constitution.",440.5,".5,1",You will displease fans of alternative medicine by cutting funds for the National Ayush Mission.,".5,1"
cut,9,Clean Ganga,Clean Ganga mission,Cut back on the Clean Ganga Mission,"Launched with much fanfare, the scheme has little to show in terms of results. The Clean Ganga mission has faced censure from the National Green Tribunal (NGT) as well as the Comptroller and Auditor General (CAG) for lack of pollution abatement works, unutilized funds, and the lack of long-term planning.",2300,".5,1",Many environmentalists and some Hindu groups support the Clean Ganga Mission.,1
cut,10,Skill India,Skill India Initiative,Reduce support for Skill India initiative (Pradhan Mantri Kaushal Vikas Yojana),"The flagship scheme under the Skill India program has failed to live up to expectations. In its 2017 report, a government-appointed committee led by Sharda Prasad found that the targets under the program were too ambitious, and funds spent on the program were not subject to adequate monitoring. Job placements under the scheme have been poor even as the scheme ended up enriching private institutes which offered, or claimed to offer, vocational training to youth.",2924.26,".5,1",,
cut,11,Modernisation of railways,railways development,Dial back support for railways development,"The government has been inefficient in running Indian Railways, and the rail system continues to depend on government largesse for modernisation as well as rountine mainentance. It is time to cut back budgetary support for the railways, and force it to raise its own resources.",55000,".5,1",,
cut,12,Food and Nutrition,food subsidies,Cut food subsidies,"Food subsidies are less regressive than fertilizer or petroleum subsidies but still suffer from inefficient management by the Food Corporation of India (FCI) and from leakages in the public distribution system (PDS). The Shanta Kumar committee on food management reforms estimated that moving away from food-based transfers to cash transfers in large cities alone could save the exchequer Rs 30,000 crore annually.",145338.6,".25,.5,1","Major cuts to food subsidies will likely to hurt many poor households, which depend upon the public distribution system. People could starve.",".5,1"

id,acquiring_company_name,acquiring_object_id,acquired_company_name,acquired_object_id,price_amount,funding_total_usd,status
1,Facebook,c:5,FriendFeed,c:1001,47500000,5000000,acquired
5,,,"ITOG, Inc.",c:10153,0,205000,closed
6,AOL,c:351,StudioNow,c:10158,36500000,15286415,acquired
7,Microsoft,c:1242,Yammer,c:10176,1200000000,142000000,acquired
9,Cisco,c:28,PostPath,c:10197,215000000,24300000,acquired
13,,,PlayerDuel,c:103204,0,21189,closed
15,,,Picateers,c:10398,0,12100000,closed
19,AOL,c:351,Surphace,c:105,25000000,3500000,acquired
20,Iron Mountain,c:21154,Mimosa Systems,c:10512,112000000,53816776,acquired
22,Vocus,c:4687,iContact,c:106,169000000,53350000,acquired
23,,,Geodelic Systems,c:10610,0,10500000,closed
25,Shanda Games,c:34079,Mochi Media,c:1069,80000000,14000000,acquired
27,,,Pixelpipe,c:10751,0,2300000,closed
29,Monsanto,c:29610,The Climate Corporation,c:1078,930000000,108900000,acquired
30,GSI Commerce,c:28712,FetchBack,c:10864,40000000,1000000,acquired
31,Yahoo!,c:29,Tumblr,c:1088,1100000000,125250000,acquired
33,,,ConSentry Networks,c:10913,0,46400000,closed
34,TIBCO Software,c:4967,LogLogic,c:10915,130000000,8800000,acquired
35,,,Semantra,c:10969,0,9100000,closed
39,,,Buzzwire,c:1120,0,12000000,closed
42,,,B-Side Entertainment,c:11397,0,7350000,closed
45,,,Predictify,c:1148,0,4300000,closed
46,,,WeAre.Us,c:11498,0,50000,closed
50,,,MyShape,c:11817,0,28000000,closed
51,NETGEAR,c:16675,Avaak,c:11888,31000000,17000000,acquired
52,,,Songbird,c:1205,0,11015719,closed
53,Amazon,c:317,Kiva Systems,c:12052,775000000,11600000,acquired
55,,,SolFocus,c:12099,0,211403000,closed
56,,,GridNetworks,c:1212,0,30000000,closed
57,AOL,c:351,Quigo,c:1214,363000000,35000000,acquired
58,IBM,c:3246,Guardium,c:12171,225000000,11800000,acquired
60,Salesforce,c:1972,ExactTarget,c:12178,2500000000,238209999,acquired
61,,,Vontoo,c:12179,0,2192000,closed
62,,,DubMeNow,c:12224,0,7516703,closed
64,DG,c:13228,Peer39,c:1224,15500000,29915001,acquired
65,McAfee,c:14236,MX Logic,c:12285,140000000,4000000,acquired
66,Oracle Corporation,c:2680,Vitrue,c:1234,300000000,33000000,acquired
67,Google,c:59,"Wildfire, a division of Google",c:12348,350000000,14100000,acquired
70,,,Faves,c:1253,0,1500000,closed
71,,,Goodmail Systems,c:12630,0,45000000,closed
73,IBM,c:3246,Trusteer,c:12723,800000000,10100000,acquired
74,Microsoft,c:1242,Farecast,c:128,115000000,20600000,acquired
75,Reply! Inc.,c:1316,MerchantCircle,c:1283,60000000,14300000,acquired
76,,,Minekey,c:1284,0,3600000,closed
77,Taylor Nelson Sofres,c:3063,Compete,c:1285,150000000,33000000,acquired
80,,,Newmerix,c:13006,0,7000000,closed
82,Google,c:59,DocVerse,c:13046,25000000,1300000,acquired
83,Green Dot Corporation,c:35247,Loopt,c:1309,43000000,32006000,acquired
85,,,CV Ingenuity,c:131583,0,30926154,closed
86,Monster,c:1735,Trovix,c:13168,72500000,18250000,acquired
88,,,GetBack,c:13277,0,1700000,closed
89,,,Q-magic,c:13358,0,650000,closed
91,,,GlobalCrypto,c:13410,0,1000000,closed
93,LiveUniverse,c:2358,Pageflakes,c:135,3000000,4100000,acquired
95,,,Planet Metrics,c:13504,0,2300000,closed
97,,,Azelon Pharmaceuticals,c:137274,0,6922000,closed
99,,,PublicEarth,c:13733,0,4000000,closed
103,FTI Consulting,c:26482,Attenex,c:13874,88000000,5000000,acquired
105,AOL,c:351,The Huffington Post,c:1388,315000000,37000000,acquired
106,,,NebuAd,c:1389,0,30150000,closed
107,,,Swivel,c:139,0,2000000,closed
108,,,Amadesa,c:13921,0,12800000,closed
109,,,MobileReactor,c:139729,0,1175000,closed
111,,,AutoVirt,c:14028,0,24300000,closed
112,Tellabs,c:34407,WiChorus,c:14036,165000000,42500000,acquired
114,AOL,c:351,Bebo,c:142,850000000,15000000,acquired
114,Reachd,c:5602,Bebo,c:142,10000000,15000000,acquired
115,,,Peek & Co,c:14345,0,626096,closed
117,,,xkoto,c:1445,0,11035000,closed
118,,,Press,c:144611,0,70000,closed
119,,,VeteranCentral.com,c:144631,0,150000,closed
120,,,DateMyFamily.com,c:144687,0,100000,closed
121,Equifax,c:2823,TrustedID,c:1447,30000000,25000000,acquired
122,,,CakeStyle,c:144825,0,1000000,closed
123,,,Hit Systems,c:14483,0,125000,closed
125,FIS,c:68232,mFoundry,c:14608,120000000,40300000,acquired
127,,,AdexLink,c:146596,0,2000000,closed
128,,,REMOTV,c:14666,0,2700000,closed
132,,,Classiphix,c:148284,0,15000,closed
133,Symantec,c:3320,Vontu,c:14854,350000000,20000000,acquired
134,,,"MoveableCode, Inc.",c:148566,0,350000,closed
141,WhitePages.com,c:2345,Snapvine,c:1499,10000000,12000000,acquired
142,,,Exit41,c:14993,0,24200000,closed
145,,,StyleZen,c:150577,0,20000,closed
148,blinkx,c:108,Rhythm NewMedia,c:15123,65000000,28932322,acquired
149,,,Zentact,c:15129,0,250000,closed
150,,,Utterz,c:1518,0,4000000,closed
151,,,Wantful,c:152560,0,5500000,closed
152,KEYW Corporation,c:40595,SenSage,c:15294,24000000,37079000,acquired
153,,,Gaston Labs,c:153403,0,100000,closed
154,Yahoo!,c:29,Dapper,c:1541,55000000,3000000,acquired
155,,,eBillme,c:15458,0,23000000,closed
157,Google,c:59,FeedBurner,c:155,100000000,8000000,acquired
158,,,Rudder,c:15509,0,2000000,closed
160,,,Friendsignia,c:155621,0,15000,closed
161,,,Nalace Corporation,c:155821,0,19000,closed
162,,,mBeat Media,c:15599,0,1500000,closed
165,,,SeeSaw Networks,c:15687,0,21138876,closed
167,,,Twitpay,c:15704,0,500000,closed
168,,,Robotgalaxy,c:15709,0,12000000,closed
169,,,Soshowise,c:157234,0,50000,closed
172,Western Digital,c:22518,Virident Systems,c:15829,685000000,129677153,acquired
173,,,Newfield Design,c:158294,0,662000,closed
175,"Verizon Communications, Inc.",c:4843,EdgeCast Networks,c:1587,350000000,74000000,acquired
176,,,Avega Systems,c:15870,0,9500000,closed
177,,,Hammerhead Systems,c:15887,0,48000000,closed
178,,,Neopolitan Networks,c:15888,0,3170000,closed
179,Incredimail,c:13906,Smilebox,c:1590,40000000,14000000,acquired
180,eBay,c:20,Bill Me Later,c:1595,945000000,100000000,acquired
181,ViaSat,c:33731,WildBlue,c:15996,568000000,50000000,acquired
182,Walmart,c:29025,Kosmix,c:1600,300000000,55000000,acquired
184,,,VoloMedia,c:16066,0,12000000,closed
185,Twitter,c:12,Summize,c:1607,15000000,750000,acquired
187,,,Applied Identity,c:16111,0,33000000,closed
188,Amazon,c:317,Goodreads,c:1612,150000000,2750000,acquired
189,British Telecom,c:4196,Ribbit,c:1613,105000000,11000000,acquired
190,,,Kickfire,c:16134,0,20000000,closed
192,Hewlett-Packard,c:355,ArcSight,c:16178,1500000000,26914000,acquired
193,,,AdYouNet,c:16179,0,1400000,closed
194,LSI,c:5722,ONStor,c:16181,25000000,65800000,acquired
195,Broadcom,c:17124,Provigent,c:16189,313000000,32000000,acquired
198,,,Contur,c:162219,0,20000,closed
199,,,Aquest Systems,c:16264,0,20000000,closed
200,,,WeShow,c:1627,0,5000000,closed
201,Spirent Communications,c:65077,Mu Dynamics,c:16271,40000000,24000000,acquired
203,Intel,c:71,Sensory Networks,c:16276,20000000,17400000,acquired
204,Skype,c:62,Qik,c:1628,150000000,14800000,acquired
212,,,RipCode,c:1637,0,33000000,closed
214,,,"RiverGlass, Inc.",c:16406,0,6400000,closed
216,,,Digital Performance,c:16488,0,4476171,closed
217,,,Turf Geography Club,c:164922,0,890000,closed
222,,,Rapport,c:16607,0,25500000,closed
224,Tessera,c:9514,Siimpel Corporation,c:16613,15000000,53818873,acquired
225,Vonage,c:7618,Vocalocity,c:16618,130000000,13600000,acquired
226,,,27 Perry,c:166763,0,118000,closed
228,Zynga,c:1812,Challenge Games,c:1669,20500000,14500000,acquired
229,,,Sway,c:167,0,2000000,closed
230,,,Focus,c:16709,0,12170000,closed
232,SurveyMonkey,c:21875,Infinity Box,c:1674,35000000,118000,acquired
233,,,Stiki Digital,c:16753,0,325000,closed
234,,,Extreme Enterprises,c:16757,0,1455000,closed
235,,,scanR,c:16761,0,14200000,closed
236,,,QSecure,c:16770,0,49000000,closed
237,,,spotdock,c:167795,0,600000,closed
239,Broadcom,c:17124,BroadLight,c:16874,230000000,27000000,acquired
242,,,SimulScribe,c:1692,0,5700000,closed
245,,,IonLogix Systems,c:16973,0,30000,closed
247,,,SendMeHome.com,c:17030,0,50000,closed
254,,,D2C Games,c:17252,0,7500000,closed
257,SMSC,c:34751,Symwave,c:17282,8300000,26200000,acquired
258,Google,c:59,Meebo,c:173,100000000,70000000,acquired
259,Cisco,c:28,Meraki,c:1731,1200000000,80000000,acquired
260,,,Relationship Analytics,c:173118,0,125000,closed
262,,,Speedshape,c:17429,0,5000000,closed
265,,,Power Analog Microelectronics,c:17481,0,12000000,closed
266,,,Shocking Technologies,c:17501,0,55900000,closed
268,,,Appscio,c:17512,0,7000000,closed
269,,,bluepulse,c:1753,0,6000000,closed
272,IBM,c:3246,Storwize,c:17581,140000000,28000000,acquired
274,,,Aurora Feint,c:17610,0,7660000,closed
277,SGI,c:12011,Copan Systems,c:17633,2000000,68400000,acquired
278,Imation,c:70298,Nexsan,c:17634,120000000,24500000,acquired
279,Synaptics,c:17655,Validity Sensors,c:17656,255000000,82600000,acquired
280,,,ARPU,c:1766,0,15564591,closed
281,Qualcomm,c:323,Firethorn,c:17660,210000000,25131611,acquired
287,,,OpVista,c:17775,0,43000000,closed
288,Riverbed Technology,c:17731,Mazu Networks,c:17795,47000000,7000000,acquired
290,,,Hidden City Games,c:17857,0,15000000,closed
292,LivePerson,c:7416,NuConomy,c:1789,3000000,3300000,acquired
295,EMC,c:966,ScaleIO,c:179507,200000000,12000000,acquired
296,,,Conformity,c:17974,0,3000000,closed
298,,,CypherMax,c:18027,0,148000000,closed
301,,,Etology,c:18080,0,4000000,closed
303,BroadSoft,c:3407,Casabi,c:18163,1950000,12800000,acquired
304,Google,c:59,Invite Media,c:1832,80000000,5000000,acquired
305,MySpace,c:494,iLike,c:184,20000000,16500000,acquired
308,SingTel,c:16041,Amobee,c:1870,321000000,72000000,acquired
312,,,Punch Entertainment,c:18897,0,1200000,closed
313,,,Current Media,c:1895,0,15000000,closed
315,,,MOLI,c:1899,0,55600000,closed
317,,,Pocket Communications Northeast,c:19101,0,125000000,closed
320,SanDisk,c:3275,Pliant Technology,c:19234,327000000,50300006,acquired
324,,,walkby,c:195311,0,650000,closed
325,,,Kashless,c:19538,0,9000000,closed
326,,,Sharetivity,c:1957,0,2000000,closed
329,IXIA,c:26797,BreakingPoint Systems,c:1967,160000000,20000000,acquired
334,,,Pacinian,c:19869,0,350000,closed
336,,,PayParade Pictures,c:20033,0,200000,closed
340,,,Hotelicopter,c:202,0,5000000,closed
341,TeleCommunication Systems,c:26802,Networks in Motion,c:20253,170000000,10000000,acquired
345,Medtronic,c:33654,Ardian,c:20506,800000000,64080000,acquired
347,DG,c:13228,Republic Project,c:20672,1400000,1000000,acquired
349,,,LookStat,c:20832,0,500000,closed
350,CA Technologies,c:26050,Nimsoft,c:20847,350000000,22300000,acquired
354,,,Jobzle,c:21359,0,30000,closed
356,,,Airship Ventures,c:21492,0,10500000,closed
361,Brightcove,c:325,Zencoder,c:21762,30000000,2000000,acquired
362,,,What They Like,c:2178,0,990000,closed
363,Sanofi Aventis,c:28373,BiPar Sciences,c:21940,500000000,73000000,acquired
366,LBI International,c:4010,Mr. Youth,c:22057,50000000,15100000,acquired
367,,,Factery,c:22113,0,1200000,closed
369,eBay,c:20,Milo,c:22203,75000000,4950000,acquired
370,Cisco,c:28,Metreos Corporation,c:22291,28000000,4355000,acquired
372,,,Fetch MD,c:223501,0,25000,closed
373,,,Advaliant,c:2245,0,100000,closed
375,,,Smalltown,c:2272,0,4000000,closed
376,SuccessFactors,c:1790,CubeTree,c:22721,50000000,11500000,acquired
378,eBay,c:20,Where,c:2275,135000000,19100000,acquired
380,,,Matisse Networks,c:22898,0,7500000,closed
382,Nordstrom,c:29929,HauteLook,c:23052,270000000,41000000,acquired
384,Synchronoss Technologies,c:28415,Miyowa,c:23098,59000000,11725600,acquired
386,The Walt Disney Company,c:342,Playdom,c:23125,763200000,76000000,acquired
390,,,Canopy Financial,c:23192,0,89500000,closed
391,,,Elanti Systems,c:23234,0,5500000,closed
392,,,Wi-Chi,c:23251,0,7000000,closed
393,,,Social Collective,c:23335,0,20000,closed
398,Apple,c:1654,Topsy Labs,c:23588,200000000,35200000,acquired
399,,,Ecast,c:23692,0,30300000,closed
401,,,ZettaCore,c:23788,0,21000000,closed
403,Emcore,c:72249,Soliant Energy,c:23903,450000,18000000,acquired
406,,,DynaPump,c:24040,0,6000000,closed
407,,,Apieron,c:24206,0,43500000,closed
409,,,Anaphore,c:24281,0,24300000,closed
411,Oversee,c:1809,SnapNames,c:2434,35000000,8800000,acquired
413,,,Biofisica,c:24570,0,7300000,closed
414,Tremor Video,c:104377,ScanScout,c:246,86000000,17500000,acquired
415,,,Limerick BioPharma,c:24681,0,49008830,closed
416,Eli Lilly,c:31588,Avid Radiopharmaceuticals,c:24727,800000000,69900000,acquired
417,,,JackPot Rewards,c:2478,0,16700000,closed
418,,,GenieTown,c:2481,0,2000000,closed
419,SingTel,c:16041,Pixable,c:24853,26500000,6100000,acquired
421,Teleflex,c:65984,Semprus BioSciences,c:24896,30000000,27000000,acquired
423,,,FameCast,c:2497,0,9700000,closed
425,Johnson & Johnson,c:12137,Aragon Pharmaceuticals,c:25001,1000000000,122000000,acquired
431,Alexion Pharmaceuticals,c:67598,Taligen Therapeutics,c:25324,111000000,78750000,acquired
434,,,Biolex Therapeutics,c:25383,0,162264126,closed
435,,,PhotoThera,c:25449,0,80500000,closed
439,,,Azingo,c:25688,0,80000000,closed
441,AstraZeneca,c:13450,Pearl Therapeutics,c:25737,1150000000,232000100,acquired
443,,,Broadway Networks,c:25756,0,954000,closed
444,CA Technologies,c:26050,Layer 7 Technologies,c:25782,155000000,19900000,acquired
445,,,TwtBks,c:25808,0,25000,closed
447,Shutterfly,c:1438,Tiny Pictures,c:2593,2600000,11200000,acquired
448,,,Kurani Interactive,c:25997,0,275000,closed
455,,,Bling Nation,c:26368,0,28000000,closed
456,,,Revetto,c:26390,0,20000,closed
457,dunnhumby,c:39178,BzzAgent,c:26460,60000000,14500000,acquired
458,EMC,c:966,Kazeon,c:2647,150000000,41000000,acquired
459,Broadcom,c:17124,Beceem Communications,c:26556,316000000,69600000,acquired
460,,,Nordic Windpower,c:26612,0,54000000,closed
462,LSI,c:5722,SandForce,c:26685,400000000,46000000,acquired
463,Bakbone Software,c:26703,Asempra Technologies,c:26702,1850000,20000000,acquired
465,Bakbone Software,c:26703,ColdSpark,c:26806,15900000,6500000,acquired
466,,,Nethra Imaging,c:26813,0,14000000,closed
467,,,Advanced Marketing & Media Group,c:26863,0,500000,closed
469,Comcast,c:4175,Plaxo,c:27,150000000,28300000,acquired
473,Abbott Labs,c:10475,OptiMedica,c:27142,400000000,51000000,acquired
474,,,Advanced Power Projects,c:27159,0,13000000,closed
475,Lightera,c:26738,Luminus Devices,c:27163,22000000,135826373,acquired
476,Mellanox Technologies,c:62791,KOTURA,c:27285,82000000,27690547,acquired
477,Yahoo!,c:29,Right Media,c:2731,850000000,45000000,acquired
480,,,Plato Networks,c:27439,0,27500000,closed
485,,,Texert,c:27740,0,3000000,closed
486,,,eMinor,c:27741,0,5000000,closed
487,Dialog Semiconductor,c:33565,iWatt,c:27779,345000000,19400000,acquired
488,,,DeliveryEdge,c:278,0,1500000,closed
489,,,Correlix,c:27938,0,11400000,closed
492,,,Yub,c:280611,0,12000000,closed
494,,,PeerMe,c:281,0,5000000,closed
495,,,VT Silicon,c:28114,0,8800000,closed
496,,,lifeIO,c:28162,0,500000,closed
498,,,Rayspan,c:28307,0,12500000,closed
500,,,HighlightCam,c:28403,0,3000000,closed
501,VMware,c:5990,Blue Lane Technologies,c:28420,15000000,13400000,acquired
502,,,Danotek Motion Technologies,c:28424,0,42700000,closed
506,CommScope,c:12394,Redwood Systems,c:28482,60000000,34250000,acquired
506,CommScope,c:12394,Redwood Systems,c:28482,60000000,34250000,acquired
507,CommScope,c:12394,Redwood Systems,c:28482,60000000,34250000,acquired
507,CommScope,c:12394,Redwood Systems,c:28482,60000000,34250000,acquired
511,McAfee,c:14236,Lockdown Networks,c:28768,2000000,8600000,acquired
512,Ancestry,c:1071,Footnote,c:2889,28000000,10000000,acquired
513,Verint Systems,c:27810,Vovici,c:2902,56500000,16300000,acquired
519,Kofax,c:29411,Kapow Software,c:2953,47500000,19743770,acquired
521,,,Zoodak,c:29604,0,580000,closed
522,,,Three Screen Games,c:29605,0,500000,closed
523,Yahoo!,c:29,Rockmelt,c:29618,65000000,39875000,acquired
526,,,ScribeStorm,c:2993,0,225000,closed
527,Microsoft,c:1242,Powerset,c:30,100000000,22500000,acquired
528,,,Ubidyne,c:30041,0,58500000,closed
529,International Rectifier,c:70064,CHiL Semiconductor,c:30152,75000000,22487000,acquired
530,,,UpMo,c:30173,0,3700000,closed
531,,,SearchMe,c:3027,0,43600000,closed
532,,,Resonant Vibes,c:30290,0,350000,closed
533,,,Smith & Tinker,c:30307,0,29000000,closed
536,Cisco,c:28,Pure Networks,c:30526,120000000,12500000,acquired
537,Ceradyne,c:30528,SemEquip,c:30527,125000000,26000000,acquired
538,Nuance Communications,c:5473,SNAPin Software,c:30537,204260000,22300000,acquired
539,,,Solvate,c:30562,0,10300000,closed
540,,,Impeva,c:30667,0,10000000,closed
542,HSW International,c:14745,DailyStrength,c:3080,3125000,5000000,acquired
548,,,Glacier Bay,c:31120,0,28000000,closed
549,,,Queplix,c:31141,0,1500000,closed
551,,,Bueda,c:31294,0,125000,closed
554,,,Natural Cleaners Colorado,c:31452,0,1900000,closed
555,,,Roxro Pharma,c:31488,0,42700000,closed
556,,,AccelGolf,c:31514,0,457282,closed
557,,,Satiety,c:31546,0,62800000,closed
558,,,Paracor Medical,c:31549,0,44000000,closed
559,Thermage,c:148832,Reliant Technologies,c:31559,66200000,15000000,acquired
560,Ipsen,c:31615,Tercica,c:31614,480300000,83000000,acquired
561,Allergan,c:41450,MAP Pharmaceuticals,c:31754,958000000,50000000,acquired
562,,,Oorja Protonics,c:31764,0,21470000,closed
563,,,Elastra,c:3178,0,14600000,closed
565,Local.com,c:25597,Krillion,c:3180,3500000,9150000,acquired
566,Amgen,c:23339,Avidia,c:31832,380000000,72300000,acquired
567,,,kwiry,c:3185,0,1000000,closed
569,Thermo Fisher Scientific,c:31663,Ahura Scientific,c:31866,145000000,17000000,acquired
571,VMware,c:5990,Digital Fuel,c:31888,85000000,5000000,acquired
572,,,Dyyno,c:31909,0,14078664,closed
575,,,Origen Therapeutics,c:31968,0,2000000,closed
578,,,Authenticlick,c:3202,0,5000000,closed
579,Asterand,c:40135,BioSeek,c:32023,14000000,10000000,acquired
582,,,Idooble,c:32144,0,400000,closed
585,Google,c:59,Waze,c:32475,1100000000,67000000,acquired
586,,,Tapioca Mobile,c:3267,0,5000000,closed
587,,,YESTODATE.COM,c:32686,0,1000000,closed
588,,,WebVisible,c:3288,0,37000000,closed
589,,,HX Diagnostics,c:32977,0,7800000,closed
591,,,TalkPlus,c:334,0,5500000,closed
592,Twitter,c:12,Bluefin Labs,c:33416,80000000,20350000,acquired
593,Walmart,c:29025,Vudu,c:335,100000000,36000000,acquired
595,,,RFinity,c:33519,0,4000000,closed
596,,,Attune Systems,c:33771,0,18000000,closed
599,,,Transactiv,c:33912,0,1200000,closed
600,Salesforce,c:1972,Desk,c:33949,50000000,5700000,acquired
602,,,LikeList,c:34028,0,5000000,closed
603,Salesforce,c:1972,Dimdim,c:3413,31000000,8400000,acquired
605,,,Chronicity,c:34267,0,19550000,closed
606,,,Zipano,c:34338,0,25000,closed
607,,,PermissionTV,c:344,0,9000000,closed
608,,,Innovative Silicon,c:34401,0,72000000,closed
610,,,Hotlist,c:34522,0,1449998,closed
611,Brand Networks,c:153484,Optimal,c:34545,35000000,7600000,acquired
612,Facebook,c:5,Hot Potato,c:34549,10000000,1420000,acquired
613,Cisco,c:28,ScanSafe,c:34618,183000000,28500000,acquired
615,888 Holdings,c:24216,Mytopia,c:3487,18000000,3500000,acquired
616,,,Workstreamer,c:3505,0,3500000,closed
617,,,Devtap,c:35148,0,2600000,closed
618,,,Viacor,c:35157,0,19009671,closed
620,,,RPO,c:35402,0,44000000,closed
621,,,Trinity Biosystems,c:35433,0,28500000,closed
622,,,Teranode,c:35475,0,10400000,closed
623,Logitech,c:2989,"LifeSize, a Division of Logitech",c:35511,405000000,42500000,acquired
625,,,Etelos,c:3562,0,4087500,closed
628,Broadcom,c:17124,Teknovus,c:35887,123000000,62600000,acquired
629,,,JavaJobs,c:35903,0,50000,closed
630,Symantec,c:3320,Clearwell Systems,c:3610,410000000,29000000,acquired
632,,,Storspeed,c:36192,0,13000000,closed
633,,,NewsBasis,c:36276,0,545000,closed
636,,,Nirvanix,c:365,0,70000000,closed
637,,,SemiSouth Laboratories,c:36579,0,39000000,closed
638,,,Conecta 2,c:367,0,15000,closed
639,,,ThermalTherapeuticSystems,c:36742,0,3508462,closed
640,Real Networks,c:845,Game Trust,c:3686,20000000,9000000,acquired
641,,,Blade Games World,c:36868,0,5926462,closed
642,,,Apnex Medical,c:36892,0,44000000,closed
644,Global Crossing,c:10241,Genesis Networks,c:36936,27000000,22165091,acquired
645,,,itzbig,c:3717,0,4000000,closed
646,,,Five Star Technologies,c:37173,0,13222860,closed
647,HTC Corp,c:3132,Dashwire,c:37215,18500000,5056559,acquired
651,Braintree,c:46943,Venmo,c:37635,26200000,1200000,acquired
652,,,NextIO,c:37647,0,49600000,closed
653,Yahoo!,c:29,Xoopit,c:3770,20000000,6500000,acquired
654,PLX Technology,c:58544,Teranetics,c:37712,53800000,52800000,acquired
655,,,Zeo,c:37752,0,26138500,closed
657,,,LegiTime Technologies,c:37780,0,4000000,closed
660,NetApp,c:1727,Akorri Networks,c:37929,60000000,48730000,acquired
661,,,Kardia Health Systems,c:37934,0,18400000,closed
663,,,Thwapr,c:38019,0,2000000,closed
668,,,Digit Wireless,c:38273,0,10000000,closed
670,AOL,c:351,about.me,c:38337,35000000,5675000,acquired
671,Experian,c:2175,41st Parameter,c:38338,324000000,38064570,acquired
673,,,EvoApp,c:38460,0,3352194,closed
674,,,iosil Energy,c:38504,0,13875001,closed
675,,,iGroup Network,c:38590,0,2240000,closed
676,,,Make It Work,c:38655,0,1000000,closed
678,,,Hello Chair,c:38794,0,889999,closed
679,,,Jodange,c:3902,0,1200000,closed
680,Sony,c:304,Gaikai,c:39101,380000000,45039999,acquired
681,,,iKoa,c:39105,0,18700000,closed
683,Dot Hill Systems,c:39285,Cloverleaf Communications,c:39283,12000000,11000000,acquired
684,Eisai,c:39681,AkaRx,c:39364,255000000,26100000,acquired
685,,,Sweepery,c:39399,0,500000,closed
686,eBay,c:20,Zong,c:3949,240000000,27500000,acquired
687,Akamai Technologies,c:424,Cotendo,c:3950,268000000,36000000,acquired
688,,,Zymetis,c:39507,0,2257464,closed
689,VMware,c:5990,Nicira Networks,c:39521,1260000000,41815432,acquired
691,,,Helix Therapeutics,c:39596,0,3100000,closed
692,Symantec,c:3320,GuardianEdge Technologies,c:3962,70000000,19500000,acquired
693,,,Spectrawatt,c:39661,0,41400000,closed
694,,,MPOWER Mobile,c:39755,0,5000000,closed
695,,,Storm Exchange,c:39801,0,10800000,closed
698,Cisco,c:28,Pure Digital Technologies,c:3991,590000000,68200000,acquired
699,betaworks,c:20953,Digg,c:4,500000,45000000,acquired
701,Silicon Image,c:15297,SiBEAM,c:4014,25500000,113750000,acquired
702,,,C2 Microsystems,c:40147,0,10000000,closed
703,,,EmSense,c:40152,0,13000000,closed
704,,,DNP Green Technology,c:40197,0,12000000,closed
706,Sunovion Pharmaceuticals,c:85949,Elevation Pharmaceuticals,c:40417,430000000,89400001,acquired
708,,,Media Chaperone,c:40665,0,1050000,closed
709,Sourcefire,c:19066,Immunet Corporation,c:40762,21000000,2000000,acquired
717,,,MogoTix,c:41334,0,115000,closed
718,,,Taggstr,c:41409,0,50000,closed
722,,,Reef Point Systems,c:41747,0,52000000,closed
724,,,Verari Systems,c:41968,0,20000000,closed
725,,,Andigilog,c:42062,0,18000000,closed
727,,,Moonshoot,c:42112,0,6760000,closed
729,,,Certeon,c:42163,0,19000000,closed
731,Outerwall,c:64747,ecoATM,c:42223,350000000,71400000,acquired
732,,,WiLinx,c:42227,0,15000000,closed
733,,,Berggi,c:42441,0,12000000,closed
734,,,PeerPong,c:42496,0,2800000,closed
737,,,Internet Pawn,c:42519,0,7228704,closed
738,,,Qlusters,c:42610,0,10360000,closed
739,McAfee,c:14236,Solidcore Systems,c:42668,47000000,40000000,acquired
740,,,Octavian,c:42672,0,15000000,closed
741,,,Zilker Labs,c:42842,0,27000000,closed
743,,,U.S. Fiduciary,c:43133,0,9000000,closed
745,,,QuikCycle,c:43162,0,17800000,closed
747,Zillow,c:959,RentJuice,c:43183,40000000,6693782,acquired
749,Facebook,c:5,Instagram,c:43233,1010470000,57500000,acquired
752,comScore,c:1926,AdXpose,c:4336,22000000,22800000,acquired
753,,,MyNines,c:43386,0,500000,closed
754,,,Stickybits,c:43416,0,1900000,closed
755,,,Levanta,c:43458,0,8000000,closed
756,,,Mail.com Media Corporation,c:43480,0,35000000,closed
759,,,Axial Biotech,c:43724,0,19400000,closed
760,,,Nascentric,c:43741,0,13400000,closed
762,TIBCO Software,c:4967,Loyalty Lab,c:43832,23000000,11000000,acquired
764,,,Kolorific,c:43873,0,7000000,closed
765,,,Defywire,c:43875,0,10600000,closed
766,,,Jacent Technologies,c:43877,0,13700000,closed
767,,,Bioenvision,c:43915,0,7410000,closed
769,,,Transparency Software,c:43948,0,12050000,closed
771,Marchex,c:674,Jingle Networks,c:44,62500000,88651133,acquired
772,,,Oasys Mobile,c:44064,0,8000000,closed
775,,,Food Quality Sensor International,c:44305,0,5600000,closed
776,,,Sampa,c:444,0,1310000,closed
778,Intuit,c:2537,Demandforce,c:44504,423500000,10119801,acquired
778,Intuit,c:2537,Demandforce,c:44504,423500000,10119801,acquired
779,Intuit,c:2537,Demandforce,c:44504,423500000,10119801,acquired
779,Intuit,c:2537,Demandforce,c:44504,423500000,10119801,acquired
782,,,Yamisee,c:44616,0,700000,closed
783,Akamai Technologies,c:424,Netli,c:44650,170000000,18000000,acquired
784,GlobalSCAPE,c:6478,TappIn,c:44693,17000000,2293122,acquired
786,,,Entertainment Media Works,c:45111,0,4000000,closed
787,,,Athena Design Systems,c:45112,0,4000000,closed
788,,,Skyway Software,c:45114,0,4000000,closed
789,,,U4EA Wireless,c:45115,0,19300000,closed
792,,,Azaire Networks,c:45339,0,21000000,closed
793,,,Amitive,c:45396,0,16000000,closed
794,,,DanceJam,c:454,0,4500000,closed
795,,,Trooval,c:45413,0,2387481,closed
797,Cisco,c:28,Composite Software,c:45428,180000000,14650003,acquired
800,VMware,c:5990,Integrien,c:45696,100000000,24510540,acquired
802,,,Avolent,c:45709,0,9000000,closed
803,,,Intrusic,c:45792,0,16000000,closed
804,,,EventVue,c:458,0,455000,closed
806,,,NextMedium,c:46042,0,9500000,closed
807,,,Pyxis Mobile,c:46070,0,24150000,closed
808,,,Xytis,c:46073,0,24500000,closed
810,Shire,c:53654,SARcode Bioscience,c:46168,160000000,73000000,acquired
811,,,Mendocino Software,c:46186,0,19700000,closed
812,Google,c:59,Aardvark,c:4622,50000000,6000000,acquired
813,,,CebaTech,c:46259,0,8500000,closed
816,LinkedIn,c:176,Rapportive,c:46586,15000000,1000000,acquired
817,ADOR,c:53254,Off & Away,c:46835,5000000,3250000,acquired
818,,,MyCabbage,c:46863,0,950000,closed
819,,,FireStar Software,c:46889,0,980000,closed
820,,,HeadCase Humanufacturing,c:46893,0,900000,closed
822,PayPal,c:333,Braintree,c:46943,800000000,69000000,acquired
824,Glam Media,c:149,Ning by Glam Media,c:47,150000000,119000000,acquired
825,,,Giiv,c:47115,0,3350000,closed
826,,,Offermatic,c:47270,0,4500000,closed
827,,,Tipping Bucket,c:47341,0,72000,closed
828,,,International Battery,c:47440,0,35000000,closed
829,,,Infineta Systems,c:47587,0,30000000,closed
831,,,SpinTheCam,c:47662,0,150000,closed
832,,,Atrica,c:47689,0,22200000,closed
833,Cisco,c:28,Navini Networks,c:47848,330000000,30920000,acquired
834,Cox Enterprises,c:4797,Adify,c:4794,300000000,27000000,acquired
835,,,People to Remember,c:47950,0,25000,closed
836,,,Center'd,c:4829,0,10400000,closed
837,,,NeuroTherapeutics Pharma,c:48376,0,55000000,closed
838,,,Auvitek International,c:48640,0,9000000,closed
839,Yahoo!,c:29,BlueLithium,c:487,300000000,11500000,acquired
841,Amazon,c:317,Quidsi,c:49052,545000000,78500000,acquired
842,,,Loudcaster,c:49236,0,53000,closed
843,,,Cerona Networks,c:49341,0,2600000,closed
844,Getty Images,c:629,WireImage,c:49442,202000000,15000000,acquired
846,,,Helicomm,c:49621,0,1000000,closed
855,Bio-Rad Laboratories,c:40611,QuantaLife,c:50208,162000000,20757182,acquired
856,Cadence Pharmaceuticals,c:37734,Incline Therapeutics,c:50209,285000000,64940000,acquired
857,,,Skyrider,c:5043,0,17000000,closed
858,,,Opzi,c:50449,0,1015000,closed
859,Constant Contact,c:3524,SinglePlatform,c:50727,100000000,4575000,acquired
860,,,Zango,c:509,0,40000000,closed
861,,,Network Chemistry,c:50927,0,6000000,closed
862,,,Wirama,c:5095,0,1000000,closed
864,,,Abound Solar,c:51023,0,510000000,closed
869,GREE,c:15609,OpenFeint,c:51306,104000000,3000000,acquired
872,,,DotBlu,c:516,0,2250000,closed
873,,,Lama Lab,c:51623,0,1213066,closed
874,,,Wellcore,c:51745,0,2000000,closed
875,Covidien,c:31915,BARRX Medical,c:51890,325000000,15000000,acquired
876,Monitise,c:17661,ClairMail,c:5192,173000000,34100000,acquired
877,,,Hurricane Party,c:51969,0,20000,closed
878,Sonic Solutions,c:4804,Simple Star,c:522,6000000,7100000,acquired
881,Under Armour,c:42816,MapMyFitness,c:52406,150000000,23500000,acquired
882,Airbnb,c:9049,Fondu,c:52566,575000,575000,acquired
883,,,Dilithium Networks,c:5264,0,98170000,closed
884,,,Plethora Technology,c:52694,0,1000000,closed
885,Adobe Systems,c:283,Efficient Frontier,c:5306,400000000,6000000,acquired
887,,,GeekStatus,c:53304,0,435953,closed
889,,,TelASIC Communications,c:53471,0,26000000,closed
891,,,PacketHop,c:53814,0,10000000,closed
892,,,Inaura,c:53831,0,8500000,closed
893,Twitter,c:12,AdGrok,c:53885,10000000,470000,acquired
894,,,T-Networks,c:53946,0,5750000,closed
895,,,Wesabe,c:54,0,4700000,closed
896,,,Blue Vector Systems,c:54066,0,4000000,closed
897,Stratasys,c:148258,MakerBot,c:54077,403000000,10000000,acquired
898,American Express,c:1640,Sometrics,c:5411,30000000,5550000,acquired
899,,,Invicta Networks,c:54177,0,200000,closed
901,,,Smooth-Stone,c:54488,0,48000000,closed
905,ValueClick,c:840,Greystripe,c:549,75000000,17600000,acquired
907,,,ezzai - how to arabia,c:55044,0,45000000,closed
910,VeriFone,c:32951,WAY Systems,c:55354,9000000,22000000,acquired
914,,,Fashism,c:55436,0,1000000,closed
915,,,Wander (f. YongoPal),c:55592,0,185000,closed
916,,,PANTA Systems,c:55829,0,9500000,closed
917,Teradata,c:25106,Aster Data Systems,c:5585,263000000,53000000,acquired
918,Opsware,c:4999,iConclude,c:5587,53000000,12500000,acquired
921,,,RippleFunction,c:56478,0,20000,closed
922,,,Sionex,c:56568,0,12000000,closed
923,,,Generic Media,c:56580,0,2500000,closed
924,GlaxoSmithKline,c:5663,Sirtris Pharmaceuticals,c:5662,720000000,82000000,acquired
925,,,UniversityLyfe,c:56858,0,500000,closed
926,Yahoo!,c:29,Qwiki,c:56989,50000000,10500000,acquired
929,,,SpiralFrog,c:575,0,45000000,closed
931,,,Visiprise,c:57923,0,32000000,closed
932,,,Sidecar.me,c:5800,0,5100000,closed
937,,,Tutorspree,c:58420,0,1800000,closed
941,,,Klir Technologies,c:58560,0,8700000,closed
942,,,Dormzy,c:58696,0,250000,closed
943,,,Hashable,c:58699,0,4000000,closed
944,Twitter,c:12,MoPub,c:58944,350000000,18500000,acquired
945,,,MessageGate,c:58998,0,5000000,closed
946,,,Sychron Advanced Technologies,c:59018,0,5000000,closed
947,,,Nettle,c:59054,0,500000,closed
950,,,Diversion,c:59298,0,300000,closed
952,Opera Software,c:2584,Skyfire Labs,c:5936,155000000,40800000,acquired
953,,,Aptera,c:5952,0,36300000,closed
955,,,CafeBots,c:59709,0,5000000,closed
956,Google,c:59,Jambool,c:5986,70000000,6000000,acquired
958,O2,c:38385,Jajah,c:60,207000000,33000000,acquired
961,Cisco,c:28,IronPort Systems,c:6012,830000000,61500000,acquired
962,,,Blue Buzz Network,c:60186,0,1310000,closed
963,,,Kiha Software,c:60243,0,20000000,closed
964,,,World Blender,c:60352,0,12000,closed
967,,,TeleFlip,c:6049,0,4900000,closed
968,,,Lazarus Therapeutics,c:60516,0,100000,closed
973,,,Inertia Beverage Group,c:6150,0,25500100,closed
974,,,Flud,c:61592,0,2100000,closed
975,,,Gamook,c:6171,0,1500000,closed
976,AppDirect,c:74323,Standing Cloud,c:61783,9000000,10000003,acquired
977,,,DotSpots,c:6219,0,300000,closed
980,CondÚ Nast,c:318,ZipList,c:62432,14000000,4500000,acquired
982,Google,c:59,YouTube,c:63,1650000000,11500000,acquired
984,Symantec,c:3320,PasswordBank,c:63053,0,3500000,acquired
986,,,Slipstream,c:63217,0,20000,closed
987,,,Cozi Group,c:6340,0,26390819,closed
989,,,Lifestander,c:63621,0,31000,closed
990,Apple,c:1654,Quattro Wireless,c:637,275000000,28300000,acquired
991,,,Weatherista,c:63731,0,500000,closed
998,American Express,c:1640,Accertify,c:6520,150000000,4700000,acquired
999,,,Bevvy,c:65389,0,100000,closed
1000,,,Help Me Rent Magazine,c:65601,0,500000,closed
1002,ADOR,c:53254,Plixi,c:65620,10000000,2600000,acquired
1003,,,Inhale Digital,c:65806,0,1300000,closed
1007,,,GreenGoose!,c:66706,0,1200000,closed
1010,,,Pipewise,c:67806,0,3500000,closed
1016,,,Loud3r,c:6854,0,3529175,closed
1018,,,Swaptree Inc.,c:6964,0,11300000,closed
1021,,,Define My Style,c:70021,0,690000,closed
1025,,,StyleTrek,c:70661,0,1500000,closed
1026,,,Loosecubes,c:70893,0,9030000,closed
1027,,,Triples Media,c:71120,0,100000,closed
1028,,,nprogress,c:71372,0,1700000,closed
1030,,,FlyCast,c:7163,0,2100000,closed
1031,SolarCity,c:12352,Zep Solar,c:71639,158000000,10571182,acquired
1032,,,Color Labs Inc.,c:71852,0,41000000,closed
1033,Google,c:59,GrandCentral,c:72,60000000,4000000,acquired
1034,,,rPath,c:7207,0,32500000,closed
1035,MySpace,c:494,imeem,c:725,1000000,24750000,acquired
1036,Google,c:59,AdMob,c:726,750000000,46800000,acquired
1040,SoundCloud Inc.,c:6745,Instinctiv,c:7329,10000000,1420698,acquired
1041,,,Fortisphere,c:7345,0,10000000,closed
1042,Facebook,c:5,Onavo,c:73586,150000000,13000000,acquired
1044,LivingSocial,c:8583,SocialMedia.com,c:741,3000000,10000000,acquired
1049,Cvent,c:3399,CrowdCompass,c:74928,10000000,1300000,acquired
1051,,,Solmentum,c:75500,0,325000,closed
1052,,,Sonya Labs,c:7561,0,25000,closed
1053,,,Million Dollar Earth,c:75796,0,30000,closed
1055,Google,c:59,PeakStream,c:7613,20300000,22000000,acquired
1056,EMC,c:966,Mozy,c:762,76000000,1900000,acquired
1057,,,Sonar.me,c:76274,0,200000,closed
1059,,,CatchFree,c:76463,0,5500000,closed
1061,,,Plizy,c:76543,0,5200000,closed
1064,Concur Technologies,c:18871,TripIt,c:767,120000000,13100000,acquired
1065,,,Tripl,c:76765,0,900000,closed
1066,AOL,c:351,Adap.tv,c:77,405000000,48500000,acquired
1067,Intuit,c:2537,Mint.com,c:771,170000000,31775000,acquired
1069,,,Flowgram,c:7748,0,1300000,closed
1070,Cisco,c:28,JouleX,c:78759,107000000,17000000,acquired
1072,,,HelpMeRent.com,c:79089,0,154000,closed
1074,,,Gigi Hill,c:79149,0,4000000,closed
1075,LinkedIn,c:176,Pulse,c:79431,90000000,9800000,acquired
1076,,,TrustDegrees,c:79456,0,11000,closed
1081,,,Eyeona,c:80259,0,2000000,closed
1082,,,Matatena Games,c:80400,0,120000,closed
1085,,,RatePoint,c:810,0,24500000,closed
1087,,,Caterva,c:81474,0,2408500,closed
1088,,,Moprise,c:81475,0,2238055,closed
1091,,,skyrockit,c:81886,0,2600000,closed
1092,,,neoSaej,c:8251,0,13130000,closed
1096,,,MyDoorman,c:83173,0,100000,closed
1097,,,ItsGoinOn,c:83176,0,100000,closed
1099,,,Eons,c:833,0,32000000,closed
1101,AOL,c:351,5min Media,c:835,65000000,12800000,acquired
1102,,,Myrio,c:8351,0,20500000,closed
1103,Twitter,c:12,Crashlytics,c:83692,100000000,6000000,acquired
1105,,,CrowdSling,c:84008,0,40000,closed
1107,Facebook,c:5,Parse,c:84320,90000000,7000000,acquired
1108,,,Link_A_Media Devices,c:84867,0,47218498,closed
1109,,,Lexy,c:8494,0,1708000,closed
1111,,,Cuil,c:856,0,33000000,closed
1113,,,Carbonetworks,c:8596,0,5000000,closed
1115,,,Netgamix Inc,c:86120,0,132885,closed
1118,Rimage,c:55913,Qumu,c:8718,52000000,24750000,acquired
1121,Yahoo!,c:29,Xobni,c:886,48000000,41752000,acquired
1122,Google,c:59,Admeld,c:8972,400000000,30000000,acquired
1123,VMware,c:5990,SpringSource,c:8990,362000000,25000000,acquired
1126,GoDaddy,c:3169,Locu,c:90087,70000000,4600000,acquired
1127,,,Six Degrees Games,c:9038,0,17999998,closed
1128,,,BrightQube,c:904,0,850000,closed
1129,eBay,c:20,Hunch,c:9050,80000000,19200000,acquired
1130,DeNA,c:9636,ngmoco,c:9068,400000000,44800000,acquired
1131,,,Local Marketers,c:9085,0,4100000,closed
1132,,,LeisureLogix,c:9106,0,5900000,closed
1133,,,Mix & Meet,c:915,0,400000,closed
1136,,,Sim Ops Studios,c:933,0,698866,closed
1138,Compuware,c:6651,dynaTrace software,c:9373,256000000,21900000,acquired
1139,IBM,c:3246,Worklight,c:938,70000000,17600000,acquired
1143,AuthenTec,c:26999,Atrua Technologies,c:9665,600000000,13000000,acquired
1144,,,Sequoia Communications,c:9668,0,74000000,closed
1146,Salesforce,c:1972,Salesforce Buddy Media,c:967,689000000,90000000,acquired
1147,Visa,c:17066,PlaySpan,c:971,190000000,46300000,acquired
1148,,,OfferLounge,c:9730,0,120000,closed
1154,Yahoo!,c:29,Zimbra,c:997,350000000,14500000,acquired


task_id,stream_id,block_dim,full_op_name,op_name,op_type,subgraph,op_info
4,519,1,Default/AssignAdd-op142,AssignAdd-op142,AssignAdd,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT8"", ""shape"": ""1""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT8"", ""shape"": ""1""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT8"", ""shape"": ""1""}}"
6,519,32,Default/TransData-op118,TransData-op118,TransData,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,3,227,227""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,1,227,227,16""}}"
10,519,1,Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/OneHot-op3,OneHot-op3,OneHot,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT8"", ""shape"": ""2""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,2""}}"
11,519,1,Default/network-TrainOneStepCell/optimizer-Momentum/learning_rate-_IteratorLearningRate/GatherV2-op32,GatherV2-op32,GatherV2,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""1""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT8"", ""shape"": ""1""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""1""}}"
12,519,1,Default/network-TrainOneStepCell/optimizer-Momentum/AssignAdd-op31,AssignAdd-op31,AssignAdd,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT8"", ""shape"": ""1""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT8"", ""shape"": """"}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT8"", ""shape"": """"}}"
13,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/Cast-op91,Cast-op91,Cast,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,1,227,227,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,1,227,227,16""}}"
14,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/Cast-op110,Cast-op110,Cast,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,24,16,16""}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""216,24,16,16""}}"
15,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/Cast-op111,Cast-op111,Cast,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,16,16,16""}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""216,16,16,16""}}"
16,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/Cast-op115,Cast-op115,Cast,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""150,16,16,16""}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""150,16,16,16""}}"
17,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv3-Conv2d/Cast-op116,Cast-op116,Cast,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""144,24,16,16""}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""144,24,16,16""}}"
18,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/Cast-op117,Cast-op117,Cast,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""121,6,16,16""}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""121,6,16,16""}}"
19,519,8,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/Conv2D-op5,Conv2D-op5,Conv2D,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,1,227,227,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""121,6,16,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,55,55,16""}}"
20,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/Cast-op108,Cast-op108,Cast,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,55,55,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,6,55,55,16""}}"
21,519,60,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op119,ReLUV2-op119,ReLUV2,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,6,55,55,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,6,55,55,16""}, ""output_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT64"", ""shape"": ""2,6,55,55,2""}}"
22,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/Cast-op98,Cast-op98,Cast,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,6,55,55,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,55,55,16""}}"
23,519,27,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/MaxPool-op7,MaxPool-op7,MaxPool,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,55,55,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,27,27,16""}}"
24,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/Conv2D-op8,Conv2D-op8,Conv2D,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,27,27,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""150,16,16,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,27,27,16""}}"
25,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/Cast-op109,Cast-op109,Cast,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,27,27,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,27,27,16""}}"
26,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op120,ReLUV2-op120,ReLUV2,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,27,27,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,27,27,16""}, ""output_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT64"", ""shape"": ""2,16,27,27,2""}}"
27,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/Cast-op99,Cast-op99,Cast,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,27,27,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,27,27,16""}}"
28,519,16,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/MaxPool-op10,MaxPool-op10,MaxPool,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,27,27,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}}"
29,519,1,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv3-Conv2d/Conv2D-op11,Conv2D-op11,Conv2D,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""144,24,16,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}}"
30,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv3-Conv2d/Cast-op106,Cast-op106,Cast,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}}"
31,519,48,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op121,ReLUV2-op121,ReLUV2,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}, ""output_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT64"", ""shape"": ""2,24,13,13,2""}}"
32,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/Cast-op95,Cast-op95,Cast,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}}"
33,519,2,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/Conv2D-op13,Conv2D-op13,Conv2D,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""216,24,16,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}}"
34,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/Cast-op107,Cast-op107,Cast,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}}"
35,519,48,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op122,ReLUV2-op122,ReLUV2,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}, ""output_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT64"", ""shape"": ""2,24,13,13,2""}}"
36,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/Cast-op97,Cast-op97,Cast,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}}"
37,519,1,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/Conv2D-op15,Conv2D-op15,Conv2D,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""216,16,16,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}}"
38,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/Cast-op114,Cast-op114,Cast,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,13,13,16""}}"
39,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLUV2-op123,ReLUV2-op123,ReLUV2,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,13,13,16""}, ""output_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT64"", ""shape"": ""2,16,13,13,2""}}"
40,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/Cast-op112,Cast-op112,Cast,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}}"
41,519,16,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/MaxPool-op17,MaxPool-op17,MaxPool,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,6,6,16""}}"
42,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/Cast-op105,Cast-op105,Cast,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,6,6,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,6,6,16""}}"
43,519,32,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/TransData-op124,TransData-op124,TransData,Default,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,6,6,16""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,256,6,6""}}"
44,519,1,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/MatMul-op19,MatMul-op19,MatMul,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,256,6,6""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,9216""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}}"
45,519,16,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLU-op21,ReLU-op21,ReLU,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}}"
46,519,1,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/MatMul-op22,MatMul-op22,MatMul,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,4096""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}}"
47,519,16,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/ReLU-op24,ReLU-op24,ReLU,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}}"
48,519,1,Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/MatMul-op25,MatMul-op25,MatMul,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,2""}}"
49,519,1,Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/SoftmaxCrossEntropyWithLogits-op27,SoftmaxCrossEntropyWithLogits-op27,SoftmaxCrossEntropyWithLogits,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,2""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,2""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2""}, ""output_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,2""}}"
50,519,1,Default/AtomicAddrClean-op145,AtomicAddrClean-op145,AtomicAddrClean,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}}"
51,519,1,Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/ReduceMean-op87,ReduceMean-op87,ReduceMean,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}}"
52,519,1,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_loss_fn-SoftmaxCrossEntropyWithLogits/gradSoftmaxCrossEntropyWithLogits/Mul-op29,Mul-op29,Mul,Gradients,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,2""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,1""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,2""}}"
53,519,1,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op37,MatMul-op37,MatMul,Gradients,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,2""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}}"
54,519,1,Default/AtomicAddrClean-op146,AtomicAddrClean-op146,AtomicAddrClean,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2""}}"
55,519,1,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradBiasAdd/BiasAddGrad-op30,BiasAddGrad-op30,BiasAddGrad,Gradients,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,2""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2""}}"
56,519,1,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op40,MatMul-op40,MatMul,Gradients,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,2""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}}"
57,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGrad-op41,ReluGrad-op41,ReluGrad,Gradients,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}}"
58,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op45,MatMul-op45,MatMul,Gradients,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,4096""}}"
59,519,1,Default/AtomicAddrClean-op147,AtomicAddrClean-op147,AtomicAddrClean,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}}"
60,519,2,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradBiasAdd/BiasAddGrad-op42,BiasAddGrad-op42,BiasAddGrad,Gradients,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}}"
61,519,1,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op48,MatMul-op48,MatMul,Gradients,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,4096""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}}"
62,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGrad-op49,ReluGrad-op49,ReluGrad,Gradients,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}}"
63,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op53,MatMul-op53,MatMul,Gradients,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,256,6,6""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,9216""}}"
64,519,1,Default/AtomicAddrClean-op148,AtomicAddrClean-op148,AtomicAddrClean,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}}"
65,519,2,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradBiasAdd/BiasAddGrad-op50,BiasAddGrad-op50,BiasAddGrad,Gradients,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}}"
66,519,1,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/fc3-Dense/gradMatMul/MatMul-op56,MatMul-op56,MatMul,Gradients,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,9216""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,9216""}}"
67,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/flatten-Flatten/gradReshape/TransData-op125,TransData-op125,TransData,Gradients,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,9216""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,6,6,16""}}"
68,519,18,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/Cast-op113,Cast-op113,Cast,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,6,6,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,6,6,16""}}"
69,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/MaxPoolGrad-op58,MaxPoolGrad-op58,MaxPoolGrad,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}, ""input_1"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,6,6,16""}, ""input_2"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,6,6,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}}"
70,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/Cast-op104,Cast-op104,Cast,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,13,13,16""}}"
71,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGradV2-op126,ReluGradV2-op126,ReluGradV2,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,13,13,16""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT64"", ""shape"": ""2,16,13,13,2""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,13,13,16""}}"
72,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/gradConv2D/Cast-op96,Cast-op96,Cast,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}}"
73,519,25,Default/AtomicAddrClean-op149,AtomicAddrClean-op149,AtomicAddrClean,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,16,16,16""}}"
74,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/gradConv2D/Conv2DBackpropFilter-op60,Conv2DBackpropFilter-op60,Conv2DBackpropFilter,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}, ""input_1"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,16,16,16""}}"
75,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/gradConv2D/Conv2DBackpropInput-op63,Conv2DBackpropInput-op63,Conv2DBackpropInput,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""216,16,16,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}}"
76,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv5-Conv2d/gradConv2D/Cast-op103,Cast-op103,Cast,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}}"
77,519,48,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGradV2-op127,ReluGradV2-op127,ReluGradV2,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT64"", ""shape"": ""2,24,13,13,2""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}}"
78,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Cast-op94,Cast-op94,Cast,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}}"
79,519,28,Default/AtomicAddrClean-op150,AtomicAddrClean-op150,AtomicAddrClean,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,24,16,16""}}"
80,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Conv2DBackpropFilter-op65,Conv2DBackpropFilter-op65,Conv2DBackpropFilter,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}, ""input_1"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,24,16,16""}}"
81,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Conv2DBackpropInput-op68,Conv2DBackpropInput-op68,Conv2DBackpropInput,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""216,24,16,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}}"
82,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Cast-op102,Cast-op102,Cast,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}}"
83,519,48,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGradV2-op128,ReluGradV2-op128,ReluGradV2,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT64"", ""shape"": ""2,24,13,13,2""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}}"
84,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Cast-op93,Cast-op93,Cast,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,24,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}}"
85,519,25,Default/AtomicAddrClean-op151,AtomicAddrClean-op151,AtomicAddrClean,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""144,24,16,16""}}"
86,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Conv2DBackpropFilter-op70,Conv2DBackpropFilter-op70,Conv2DBackpropFilter,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}, ""input_1"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""144,24,16,16""}}"
87,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv4-Conv2d/gradConv2D/Conv2DBackpropInput-op73,Conv2DBackpropInput-op73,Conv2DBackpropInput,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,24,13,13,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""144,24,16,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}}"
88,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/MaxPoolGrad-op74,MaxPoolGrad-op74,MaxPoolGrad,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,27,27,16""}, ""input_1"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}, ""input_2"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,13,13,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,27,27,16""}}"
89,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/Cast-op101,Cast-op101,Cast,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,27,27,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,27,27,16""}}"
90,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGradV2-op129,ReluGradV2-op129,ReluGradV2,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,27,27,16""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT64"", ""shape"": ""2,16,27,27,2""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,27,27,16""}}"
91,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/gradConv2D/Cast-op92,Cast-op92,Cast,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,16,27,27,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,27,27,16""}}"
92,519,26,Default/AtomicAddrClean-op152,AtomicAddrClean-op152,AtomicAddrClean,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""150,16,16,16""}}"
93,519,48,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/gradConv2D/Conv2DBackpropFilter-op76,Conv2DBackpropFilter-op76,Conv2DBackpropFilter,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,27,27,16""}, ""input_1"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,27,27,16""}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""150,16,16,16""}}"
94,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv2-Conv2d/gradConv2D/Conv2DBackpropInput-op79,Conv2DBackpropInput-op79,Conv2DBackpropInput,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,16,27,27,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""150,16,16,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,27,27,16""}}"
95,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/MaxPoolGrad-op80,MaxPoolGrad-op80,MaxPoolGrad,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,55,55,16""}, ""input_1"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,27,27,16""}, ""input_2"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,27,27,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,55,55,16""}}"
96,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/gradMaxPool/Cast-op100,Cast-op100,Cast,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,55,55,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,6,55,55,16""}}"
97,519,60,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/relu-ReLU/gradReLU/ReluGradV2-op130,ReluGradV2-op130,ReluGradV2,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,6,55,55,16""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT64"", ""shape"": ""2,6,55,55,2""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,6,55,55,16""}}"
98,519,32,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/gradConv2D/Cast-op90,Cast-op90,Cast,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,6,55,55,16""}, ""output_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,55,55,16""}}"
99,519,16,Default/AtomicAddrClean-op153,AtomicAddrClean-op153,AtomicAddrClean,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""121,6,16,16""}}"
100,519,38,Gradients/Default/network-TrainOneStepCell/network-WithLossCell/_backbone-AlexNet/conv1-Conv2d/gradConv2D/Conv2DBackpropFilter-op82,Conv2DBackpropFilter-op82,Conv2DBackpropFilter,Gradients,"{""input_0"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,6,55,55,16""}, ""input_1"": {""format"": ""NC1HWC0"", ""data_type"": ""NUMBER_TYPE_END"", ""shape"": ""2,1,227,227,16""}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""121,6,16,16""}}"
101,519,2,Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op38,ApplyMomentum-op38,ApplyMomentum,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""1""}, ""input_3"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""input_4"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}, ""output_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2,4096""}}"
102,519,1,Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op35,ApplyMomentum-op35,ApplyMomentum,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""1""}, ""input_3"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2""}, ""input_4"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2""}, ""output_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""2""}}"
103,519,32,Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op46,ApplyMomentum-op46,ApplyMomentum,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,4096""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,4096""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""1""}, ""input_3"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,4096""}, ""input_4"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,4096""}, ""output_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,4096""}}"
104,519,1,Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op43,ApplyMomentum-op43,ApplyMomentum,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""1""}, ""input_3"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}, ""input_4"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}, ""output_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}}"
105,519,32,Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op54,ApplyMomentum-op54,ApplyMomentum,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,9216""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,9216""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""1""}, ""input_3"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,9216""}, ""input_4"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,9216""}, ""output_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096,9216""}}"
106,519,1,Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op51,ApplyMomentum-op51,ApplyMomentum,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""1""}, ""input_3"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}, ""input_4"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}, ""output_1"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""4096""}}"
107,519,28,Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op61,ApplyMomentum-op61,ApplyMomentum,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,16,16,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,16,16,16""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""1""}, ""input_3"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,16,16,16""}, ""input_4"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,16,16,16""}, ""output_1"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,16,16,16""}}"
108,519,31,Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op66,ApplyMomentum-op66,ApplyMomentum,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,24,16,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,24,16,16""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""1""}, ""input_3"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,24,16,16""}, ""input_4"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,24,16,16""}, ""output_1"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""216,24,16,16""}}"
109,519,28,Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op71,ApplyMomentum-op71,ApplyMomentum,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""144,24,16,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""144,24,16,16""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""1""}, ""input_3"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""144,24,16,16""}, ""input_4"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""144,24,16,16""}, ""output_1"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""144,24,16,16""}}"
110,519,29,Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op77,ApplyMomentum-op77,ApplyMomentum,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""150,16,16,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""150,16,16,16""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""1""}, ""input_3"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""150,16,16,16""}, ""input_4"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""150,16,16,16""}, ""output_1"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""150,16,16,16""}}"
111,519,18,Default/network-TrainOneStepCell/optimizer-Momentum/ApplyMomentum-op83,ApplyMomentum-op83,ApplyMomentum,Default,"{""input_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""121,6,16,16""}, ""input_1"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""121,6,16,16""}, ""input_2"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": ""1""}, ""input_3"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""121,6,16,16""}, ""input_4"": {""format"": ""DefaultFormat"", ""data_type"": ""UNKNOWN"", ""shape"": """"}, ""output_0"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""121,6,16,16""}, ""output_1"": {""format"": ""FracZ"", ""data_type"": ""UNKNOWN"", ""shape"": ""121,6,16,16""}}"
112,519,1,Default/AssignAdd-op138,AssignAdd-op138,AssignAdd,Default,"{""input_0"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT8"", ""shape"": ""1""}, ""input_1"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT8"", ""shape"": ""1""}, ""output_0"": {""format"": ""DefaultFormat"", ""data_type"": ""NUMBER_TYPE_UINT8"", ""shape"": ""1""}}"


Region,CNTRY_NAME,Tier,Primary Data Type,Primary Year,Primary Source,Secondary Data Type,Secondary Year,Secondary Source,Notes
Africa,Angola,1,report,2000,"FAO, 2001. Evaluation des resources forestieres mondiales 2000. Rapport Principal. Etude FAO Forets 140.",report,1975,Horsten F. 1983. Madeira - Une analise de situacao actual. ,
America,Anguilla,1,report,1982,Caribbean Development Bank 1984. Regional Forestry Section Study: Final Report,n/a,n/a,n/a,
America,Antigua and Barbuda,1,report,1980,"Atkins Land and Water Management. 1983. Soil and water conservation, Windward and Leeward Islands, Phase 1: Reconnaissance Study.",report,1991,"Bacon, PR. 1991. The Status of Mangrove Conservation in the Caricom Islands of the Eastern Caribbean.",
America,Aruba,1,atlas,1986,Atlas published by Eastern Caribbean Natural Area Management Program,n/a,n/a,n/a,
America,Bahamas,1,report,2000,FAO 2001. Validation Sheet Bahamas. FAO Rome,paper,1991,"Bacon, PR. 1993. Mangroves in the Lesser Antilles, Jamaica and Trinidad and Tobago. In: Lacerda L.D. 1993",
Asia,Bangladesh,3,report,2005-2007,National Forest and Tree Resources Assessment,imagery,2011-2012,forest land cover map,
America,Barbados,2,imagery,2001,"Helmer, E. et al. 2007: Distribution of land cover and forest formations for St. Kitts, Nevis, St Eustatius, Frenada, and Barbados for satellite imagery",n/a,n/a,n/a,
America,Belize,1,report,2004,"Meerman, J. and W. Sabido 2001. Central American Ecosystems: Belize. Programme for Belize, Belize City (update in 2004, but without citation).",imagery,2012,"Cherrington et al. 2012. Forest Cover and Deforestation in Belize, 2010-2012",
Africa,Benin,1,report,2007,"PBR2-2007. Inventaire forestier national ProCGRN, 2008 (PGDRN)",report,1996,"Akpado, L. 2000. Etude sur les formation forestieres naturelles et sur les plantations forestieres au Benin CE-FAO-Programme Partenariat (1998-2000)",
Asia,Bhutan,2,report,1995,"RGOB, 1995. Land Cover Figures of Bhutan, Ministry of Agriculture, Royal Government of Bhutan",report,2010,MoAF. 2010. Technical report Bhutan Land Cover Assessment 2010 (LCMP 2010),
America,Bolivia,1,imagery,2010,"Mapa de Cobertura y Uso Actual de la Tierra 2010-Viceministerio de Tierras-MDRyTMapa de Cobertura y Uso Actual de la Tierra, 2001-Superintendencia Agraria",imagery,2011,Avance de la deforestacion en Bolivia Autoridad de Bosque y Tierra,
Africa,Botswana,1,report,1990,"Land Utilization Division, Ministry of Agriculture, Republic of Botswana. 1990. Land Systems Map of the Republic of Botswana.",report,2005,FRA 2000. Botswana country report.,
America,Brazil,1,imagery,2002,"Ministry of Environment (MMA)/Project for Conservation and Sustainable Use of Brazilian Biological Diversity (PROBIO), 2007. Laventamento e mapeamento dos remanescentes de cobertura vegetal dos biomas em 2002. ",report,2002-2008,"Ministry of Environment (MMA)/ Brazilian Environmental and Renewable Natural Resources Institute (IBAMA) - Center of Remote Sensing, 2009.",
America,British Virgin Islands,1,report,1980,"Caribbean Conservation Association 1980. Preliminary Data areas - British Virgin Islands: Toortula, Virgin Gorda & Anegada. Caribbean Conservation Association. University of Michigan, USA.",report,2001,British Virgin Islands Government. 2001 Use of the coastal zones and seabeds (provided Mangrove forest numbers).,
Asia,Brunei,1,report,1996,"DOF, 1996. An Introduction to Forestry in Brunei Darussalam. Department of Forestry, Ministry of Industry and Primary Resources, Brunei Darussalam.",report,1979,"Anderson & Marsden, 1984. Forest Resources & Strategic Planning Study",
Africa,Burkina Faso,2,report,2002,"MAHRH, 2006: Base de Donnees d'Occupation des Terres (BDOT) du Burkina Faso (1992 et 2002)/ Ministere de l'Agriculture, de l'Hydraulique et des Ressources Halieutiques",report,2012,"MEDD, 2013 a: Bilan annuel de la campagne nationale de reforestation 2012.",
Africa,Burundi,1,report,2005,Min Env: Analyse d'attenuation des emissions de gaz a effet de serre.,report,2001,MINATET. Prospective d secteur forestier en Afrique a l'horizon 2020 (FOSA),
Asia,Cambodia,3,imagery,2005,"""original remote sensing data with adequate ground truthing""",imagery,2002,"""original remote sensing data with adequate ground truthing""",
Africa,Cameroon,1,report,2004,National Forest Assessment,report,2000,Rapport principal. Evaluation des ressources forestieres mondailes 2000. Forestry Paper 140 FAO. 2001,
America,Cayman Islands,3,report,2009,Cayman Islands National Biodiversity Action Plan 2009 (habitat mapping data source),book,2008,"Burton, FJ (2008b). Vegetation Classification for the Cayman Islands. In: Threatened Plants of the Cayman Islands: The Red List. Pub. Royal Botanic Gardens Kew: Richmond Surrey UK.",
Africa,Central African Republic,1,report,1999,"Mangala P.M., Zanga A. 1999. Republique Centrafricaine. Evaluation des ressouces forestieres ligneuses. Etude realisee dans le cadre de FRA 2000. FAO",report,2010,Les Forets du bassin du Congo: Etat des Forets 2010,Most numbers are from 1999 or older. 2010 provided suplimental information.
Africa,Chad,1,report,2013,Programme systeme d'Information pour le Developpement Rural et L'Amenagement du Terriotire,report,1999,"Rapport de consultation (FAO) sur les ressouces forestieres et les plantations: Bardoum Djekourbain, 1999.",
America,Colombia,2,imagery,2012,"IDEAM, 2013. Memoria Tecnica de la Cuantification de la deforestacion historica nacional escalas fina, (en proceso de publication). IDEAM, 2013. Concentracion de alertas tempranas de deforestacion para el primer semestre de 2013.",report,2010,"Cabrera, et. al, IDEAM, 2011. Memoria Tecnica de la Cuantificaion de la deforestacion historica nacional escalas gruesa y fina. Instituto de Hidrologia, Meteorologia y Estudios Ambientales - IDEAM - Bogota, D.C. Colombia 106p",
America,Costa Rica,3,imagery,2013,Sistema Nacional de Areas de Conservacion (SINAC/MINAE). Unidad de Monitoreo Forestal. 2013.,imagery,2005,"Fondo Nacional de Financiamiento Forestal. 2007. Estudio de Monitoreo de Cobertura Forestal de Costa Rica 2005. San Jose, Costa Rica. 2007.",
Africa,Cote d'Ivoire,1,imagery,1993,"Ministere de l'Agriculture et des Ressources Animales. Developpement rural et preservation de l'environnement forestier. Ejeux et prespectives en zone de foret dense DCGTx, Dec. 1993.",report,2004,"Minist. D'Etat, Minist. De l'Agriculture (Dir des cultures. Perennes)",
America,Cuba,1,report,2011,"Documento de la Dinamica Forestal, Direccion Forestal, Ministerio de la Agricultura. Emision anual",report,2011,Servicio Estatal Forestal,
Africa,Democratic Republic of the Congo,1,report,2005,Rapport FRA 2005,n/a,n/a,n/a,
Africa,Djibouti,1,report,1985,Cirad - IEMVT. 1987. Carte de la vegetation et des ressources pastorales. 1/250 000. dans: Institute de la carte internationale de la vegetation (1991),n/a,n/a,n/a,
America,Dominica,1,imagery,2000,"Wood, E. 2000. Land cover map for Dominica. Carbbean Vegetation and Landcover Mapping Initiative. The Nature Conservancy, International Institute of Tropical Forestry, US Forest Service, EROS Data Center, and US Geological Service.",aerial photography,1984,Meteorolog�a y Estudios,
America,Dominican Republic,3,imagery,2012,DR. Ministerio de Medio Ambiente y Recursos Naturales 2013. Mapa de uso de la tierra y cobertura forestal,n/a,n/a,n/a,
America,Ecuador,3,imagery,2008,"Ministerio del Ambiente del Ecuador, Proyecto Mapa Historico de Deforestacion del Ecuador Continental (MDH). Mapas de uso y coberrtura de la tierra de lo anos 1990, 2000, 2008.",report,2003,"Puyravaud, J. 2003. Standarizing the calculation of the annual rate of deforestation. Forest Ecology and Management.",
America,El Salvador,1,imagery,2002,"Instituto Geografico Nacional de El Salvador, 2003. Mapa de Ocupacion del Suelo.",n/a,n/a,n/a,"There are other sources used for definitions and context, but only the 2002 source was used for reported numbers."
Africa,Equatorial Guinea,1,report,1990,FAO. 1992. Guinea Ecuatorial. Inventario Forestal Explotario. Isla de Bioko,report,1991,FAO. 1991. Guinea Ecuatorial. Informe sobre la consultoria en fotointerpretacion.,
Africa,Eritrea,1,report,1997,FAO. 1997. Support to Forestry and Wildlife subsector. Pre-investment study tcp/eri/6721,report,2000,FRA 2000.,
Africa,Ethiopia,2,report,1995,"Woody Biomass Inventory and Strategic Planning Project, Ministry of Agriculture and Rural Development, May 2004 (used imagery from 1995, and 1986-1989)",report,2000s,"""several local level scholarly studies, MSc and PhD studies based on satellite imageries and GIS analyses""",2008 data source that only covered planted forests
America,French Guiana,2,report,2012,PAG 2012 - Occupation du sol sur le territoire du Parc Amazonien de Guyane. ,report,2006,IFN 2008 - Suivi de l'occupation du sol et des changements d'occupation de sol en Guyane par teledetection satellitaire.,
Africa,Gabon,2,report,2013,PDSIRFN (project development of an inventory system),report,2013,"Rapport de pre stratification forestiere, 2013, PDSIRFN; Plan national climat, 2013",
Africa,Ghana,2,report,1990-2010,"Report on mapping of forest cover and carbon stock in Ghana. Mapping Consultants Services, The Forest Preservation Program, Under a Japanese Grant Aid to the Republic of Ghana, 2013.",report,1996,"Kotey NA et al. (1998) Falling into Place, Ghana, Policy that Works for Forest and People. IIAD. United Kington. IIAD 1996.",
America,Grenada,1,imagery,2000,"Helmer et al 2008. Land Cover and Forest Formation Distributions for St. Kitts, Nevis, St. Eustatius, Grenada and Barbados from Decision Tree Classification of Cloud Cleared Satellite Imagery",report,1991,"Paterson, G. 2000. Grenada Country Report: Forestry outlook study for the Caribbean. In: Proceedings of Sub-regional Workshop on Data Collection and Outlook Effort for Forestry in the Caribbean, Port-of-Spain, Trinidad and Tobago, 21-25 Feb 2000. FAO, Rome.",
America,Guadeloupe,2,report,2012,"Thomas Gilardoni, Utilisation des outils de teledetection pour cartographier les espaces bioses de la Guadeloupe et proposition de seuils des massifs pour les demandes de defrichement",report,2011,"DEAL Guadeloupe, Profil environnemental regional de la Guadeloupe 2011",
America,Guatemala,2,report,2010,Mapa de Cobertura Forestal de Guatemala 2010 y Dinamica de la Cobertura Forestal 2006-2010,report,2003,Mapa de uso del suelo 2003,
Africa,Guinea,1,report,2005,FRA 2005 rapport principal,report,1988,"Republique de Guinee, 1988. Politique et plan d'action. Annexe 1. Vegetation et forets. Plan d'action forestier tropical.",
Africa,Guinea-Bissau,1,imagery,1990,CIRAD foret. 1992. Evaluation des surfaces forestieres en Guinee-Bissau: Programme d'Action Forestier Tropical (PAFT),report,1976,"SCET International. 1978 Potentialites agricoles, forestieres et pastorales - 3 volumes.",
America,Guyana,2,report,2009,Guyana REDD+ Monitoring Reporting and Verification System Interim Measures Report (1 Oct 2010-31 Dec 2011),report,2013,Guyana National Land Use Plan (used for land use classes),
America,Haiti,1,report,1988,"Universite Catholique de Louvain, 1998. Etude de la deforestation et la degradation de l'environment a Haiti. In FAO, 1998. Forestry policies in the Caribbean.",report,1956,"FAO, 1978. Reboisement et lutte contre l'ecrosion Haiti. Etude qualitative et quantitative de l'evolution du couvert forestier entre 1956-1958.",A 1990 source was used for planted areas
America,Honduras,1,report,2005,"Evaluacion Nacional Forestal. Resultados del inventario de bosques y arboles 2005-2006, FAO, AFE-COHDEFOR",report,2000,"AFE-COHDEFOR, Anuario Estadistico Forestal",
Asia,India,3,imagery,2008,"India State of Forest Report, 2011. Forest Survey of India, MOEF, GOI, India.",imagery,2000,"State of Forest Report, 2001. Forest Survey of India, MOEF, GOI, India.",
Asia,Indonesia,3,imagery,2006,"Indonesia Land Cover Recalculation 2008. (In Indonesia) Forestry Planning Agency, MoF Indonesia.",imagery,2003,"Indonesia Land Cover Recalculation 2003. (In Indonesia) Forestry Planning Agency, MoF","Report states that ""2003 and 2006 data"" were used to extrapolate forest area. There is no obvious 2006 data, so the primary source is assumed. There is also a ""Deforestation Account of Indonesia, 2006-2009 listed in the data sources."
America,Jamaica,2,imagery,1998,"Evelyn OB and Camirand R. 2003 Forestry cover and deforestation in Jamaica: an analysis of forest cover and estimates over time. Jamaica. International Forestry Review, 5(4) 2003, pp. 354-363 (table6)",n/a,n/a,n/a,
Africa,Kenya,2,imagery,2010,Report on National Forest Resource Mapping and Capacity Development for the Republic of Kenya: Vol 2.,report,1994,Kenya Forestry Master Plan 1994,Also includes 2008 plantation data source
Asia,Laos,2,imagery,2010,"Remote Sensing, FIPD, FIM (JICA) Alos, Spot5, Rapideye",imagery,2002,"Remote Sensing, FIPD, SIDA (Sweden), SPOT 4 and 5 (visually)",
Africa,Liberia,1,imagery,2006,CI_SDSU Christie et al (2007) (data from 2000-2006),imagery,2003,"Nocholas Bayol et Jean-Franquis Chevelier, 2004. Current State of the Forest Cover in Liberia; Forest information Critical to Decision Making Study Report. World Bank. Washington USA",
Africa,Madagascar,1,imagery,2010,"ONE, FTM, MNP",report,1996,"Direction Generale des Forests, Resultats de I'Inventoaire Ecologieque Forestier National (IEFN)",
Africa,Malawi,2,report,1990,"Department of Forest, Ministry of Forestry and Natural Resources. 1993. Forest Resources Mapping and Biomass Assessment for Malawi. Implementing agency: Satellitbild",report,2012,"Department of Forestry, Ministry of Environment and climate Change Management 2012, Forest Resource Mapping Project under the Japanese Grant for Forest Preservation Programme.","Report states that 1990 is the most up to date source used for numbers, but a 2012 source is also listed in the source table."
Asia,Malaysia,3,report,2012,Forestry Department of Peninsular Malaysia. Annual Report and Statistics Report,report,2012,Sarawak and Sabah Forestry Department,Report cites many province level forestry annual and statistical reports from 1988-2012
Africa,Mali,1,imagery,2013,imagery interpretation using CollectEarth,report,2006,PELACD. Etude d'inventaire forestier en 5eme 6eme et 7eme Regions du Mali. Tome 1 methodologie - aspects technique et organisationnels.,
America,Martinique,1,report,2008,"Durrieu de Madron, 2008, Expertise sur les references dendrometriques necessaries au renseignement de l'inventaire national de gaz a effet de serre pour les forets de la Gaudeloupe, Martinieuq et Reunion.",report,2004,"IFN, 2008, Cartographie des grands espaces forestiers et naturels de la Martinque",
Africa,Mauritania,1,report,2010,FRA 2010 Mauritanie,report,2004,Inventaire de l'occurpation de sol de la rive droite de fleuve Senegal,These are partial inventories. Data is also taken from 1999 and 1981 dated sources.
America,Mexico,2,imagery,2011,"Conjunto de datos Vectoriales de la Carta de Uso del Suelo y Vegetacion. Escala 1:250,000 Serie V Continuo Nacional. INEGI",imagery,2007,"Conjunto de datos Vectoriales de la Carta de Uso del Suelo y Vegetacion. Escala 1:250,000 Serie IV Continuo Nacional. INEGI",
America,Montserrat,1,report,1982,"Caribbean Development Bank 1983. Regional Country Sector Study, Country Report, Monserrat",report,1985,"CARICOM Tropical Forestry Action Plan Montserrat 1991 (used for ""other wooded land"")",
Africa,Mozambique,2,imagery,2005,"Jansen Jansen, L et al. 2006. Satellite image interpretation of landcover types in Manica and Maputo Provinces at nominal scale of 1:250 000 and at National level scale of 1: 1000000. DNTF_AIFM, Maputo",report,2012,"DNTF, 2010. Relatorio Annual 2009, 2010, 2011, 2012 Mapto (used for Afforestation Areas)",
Asia,Myanmar,2,imagery,2010,remote sensing interpretation,imagery,2006,remote sensing interpretation,
Africa,Namibia,1,report,2000,Forest Policy in Namibia,report,1992,"Holm, D.  and Graz, P. 1992. Forest Cover Mapping Northern Namibia Phase I II, Vol I II",
Asia,Nepal,1,report,1998,"DFRS, 1999. Forest Resources of Nepal (1987-1998). Department of Forest Research and Survey, Ministry of Forest and Soil Conservation, Kathmandu, Nepal",,1979,"HMGN/ADB/FINNIDA, 1998. Master Plan for the Forestry Sector in Nepal. (Based on Land Resources Mapping Data from 1978/79",
America,Netherlands Antilles,2,report,1991,"International Institute of Tropical Forestry, USDA Forest Service. 2000. The 2000 FAO Forest Resource Assessment for the Caribbean",n/a,n/a,n/a,
America,Nicaragua,3,report,2008,Inventorio Nacional Forestal,report,2000,"Instituto Nacional Forestal, Ministerio Agropecuario y Forestal (INAFORMAGFOR)",
Africa,Niger,2,report,2005,FRA 2005 report,report,1977,Fontes J. 1985. Evaluation des ressources forestieres au Niger. Situation 1980-1985.,
Africa,Nigeria,1,report,1994,"Olufemi A. Olaleye and Ameh, CE 1999. Forest Resource Situation Assessment of Nigeria EC-FAO Partnership program.",n/a,n/a,n/a,
Asia,Palau,3,imagery,2002,"Preliminary land cover assessment for the Republic of Palau, USDA Forest Service, Pacific Northwest Forest Inventory and Analysis",aerial photography,1979,"Cole et al. 1987. Vegetation Survey of the Republic of Palau Resource Bulletin PSW-RB-22, Pacific Southwest Research Station, USDA Forest Service",
America,Panama,3,report,2012,"ANAM/ONU-REDD, 2014. Mapa de cobertura boscosa y uso de la tierra 2012. Resultados preliminares",imagery,2012,"Hansen et al. 2013. ""High-Resolution Global Maps of 21st Century Forest Cover Change. Science 342 (15 November): 850:53.",
Asia,Papua New Guinea,2,report,1996,"McAlpine, J & Quigley J. (Coffey MPW Pty. Ltd for AudAid: Canberra & Papua New Guinea National Forest Service. 1998. Forest Resources of Papua New Guinea. Summary Statistics from the Forest Inventory Mapping System",report,1975,"McAlpine, J & Quigley J. (Coffey MPW Pty. Ltd for AudAid: Canberra & Papua New Guinea National Forest Service. 1998. Forest Resources of Papua New Guinea. Summary Statistics from the Forest Inventory Mapping System",
America,Paraguay,2,imagery,2011,Proyecto Apoyo al Deserrollo Forestal Sostenible del Paraguay TCP/PAR/3304. Atlas para la Implementacion del Ordenamiento Territorial Forestal. 2013,imagery,2002,MESA FORESTAL NACIONAL. 2002. Estudio para la identificacion de areas prioritarias para el Mangejo de Bosques Nativos y la Reforestacion. MFN/FAO/GTZ. Paraguay.,
America,Peru,2,imagery,2011,"Ministerio de Agricultura y Riego, Ministerio del Ambiente. Mapa de Bosque no Bosque del ano 2000 y Mapa de perdida",report,2009,"Ministerio del Ambiente. Memoria Descriptiva. Mapa de Cobertura Vegetal del Peru. Lima, Peru 2012.",
Asia,Philippines,2,imagery,2010,"2010 Land Cover Mapping. National Mapping and Resource Information Authority and FMB, Department of Environment and National Resources.",imagery,2003,"FMB. 2003. Philippine Forestry Statistics. Forest Management Bureau, Department of Environment and Natural Resources. Philippines. ",
America,Puerto Rico,3,report,2009,"Brandeis, T.J., and J.A. Turner. 2013. Puerto Rico's Forests, 2009. Resource Bulletin SRS-191, USDA Forest Service Southern Research Station, Asheville NC. Pg.85",report,2003,"Brandeis, T.J., and J.A. Turner. 2007. The Status of Puerto Rico's Forests, 2003. Resource Bulletin SRS-119, USDA Forest Service Southern Research Station, Asheville NC. Pg.75",
Africa,Republic of Congo,1,imagery,2004,CNIAF/MEFDD Imagerie satellitaire,report,1993,CNIAF/MEFDD Carte IGN au 1/100.000,
Africa,Rwanda,1,aerial photography,2012,"Rwanda Forest Cover Mapping using high resolution aerial photographs, Dec 2012, by the GIS & Remote Sensing Research and Training Center of the National University of Rwanda.",report,2007,Rapport d'inventaire des ressources ligneuses,
America,Saint Kitts and Nevis,2,imagery,2010,"Helmer et al. 2008. Land Cover and Forest Formation Distributions for St. Kitts, Nevis, St. Eustatius, Grenada and Barbados from Decision Tree Classification of Cloud-Cleared Satellite Imagery",report,1983,"Caribbean Development Bank. 1983. Regional Forestry Sector Study, Country Report St Christopher and Nevis, Caribbean Development Bank",
America,Saint Lucia,2,aerial photography,2009,"Graveson, et al. 2009. Vegetation Map of St. Lucia",imagery,2001,"Schill, et al. 2006. Forest Formation and Land Cover Map Series: St. Lucia",
America,Saint Vincent and the Grenadines,1,imagery,2001,"Schill, et al. 2006. Forest Formation and Land Cover Map Series: St. Lucia",report,1993,Forestry Division of the Ministry of Agriculture Industry and Labour. 1994. National Forest Inventory Report. Annex 1 of the National Resource Conservation Plan,
Africa,Senegal,2,report,2009,Projet de gestion durable des forets et des energies traditionnelles de substitution (PROGEDE),report,2004,Projet de gestion durables des forets et des energies traditionnelles de substitution (PROGEDE),
Africa,Sierra Leone,1,report,"1976, 1986",Laumans Paul A. 1996. Review of Existing Sources of information for Forest Resource Assessment in Sierra Leone. Working Document No X.,report,2013,"""Expert estimation"" taking factors into account such as improvement in restoration after civil war and increased plantation expansion.",Numbers used for extrapolation come from primary source.
Asia,Singapore,1,report,2010,"Yee et al. 2011. The vegetation of Singapore - an updated map. The Gardens' Bulletin, Singapore 63 (1&2): 205-212. National Parks Board",report,1997,"Chan & Corlett 1997 Biodiversity in the Nature Reserves of Singapore. Proceedings of the Nature Reserve Survey Seminar. The Garden's Bulletin, Singapore Vol. 49, Part 2.",
Asia,Solomon Islands,1,report,2006,"Solomon Islands Forestry Management Project (SIMP), 2006. National Forest Resources Assessment update 2006.",report,2003,"Solomon Islands Forestry Management Project (SIMP), 2003. National Forest Resources Assessment.",
Africa,Somalia,1,report,1980,FAO. 1988. Interim Report FAO.,n/a,n/a,n/a,
Asia,Sri Lanka,1,imagery,2010,GOSL. 2010. Forest Cover Mapping 2010. Forest Inventory Division. Forest Department. Sri Lanka.,imagery,1996,GOSL. 2000. Forest Cover Mapping 2000. Forest Inventory Division. Forest Department. Sri Lanka.,
Africa,Sudan,1,Atlas,2012,Sudan Land Cover Atlas. 2012. FAO/SIFSIA.,report,2000,"Dawelbait et al. 2006. Estimating forest cover and forest change in Sudan. Forest Resources Assessment Working Paper 109. FAO, Rome",
America,Suriname,2,imagery,"2000, 2009",Observation Room of Suriname. Remote sensing project to monitor forests.,n/a,n/a,n/a,
Africa,Swaziland,2,report,1999,Central Statistics Office,report,1990,"Thurland, M. 1999. Forest Resource Assessment",
Africa,Tanzania,2,report,2014,Ministry of Natural Resources and Tourism 2014 National Forest Resources Monitoring and Assessment (NAFORMA) Final Report.,report,2012,"Ministry of Natural Resources and Tourism. 2012. Participatory Forest Management in Tanzania, Facts and Figures.",
Asia,Thailand,2,report,2008,"RFD, 2008. Statistical Data 2008. Office of Planning and Information, Royal Forest Department. Thailand.",report,2007,"RFD, 2007. Statistical Data 2007. Office of the Secretary. Royal Forest Department. Thailand.",
Africa,The Gambia,1,report,2010,National Forest Assessment (NFA 2009/2010),report,1998,National Forest Assessment 2008-2010. National Action Programme to Combat Desertification (NAP) 2000: The Gambia.,
Asia,Timor Leste,1,report,2008,Ongoing National Forest Inventory,report,2007,Forestry Annual Report,Introduction explains that there is no reliable data. In part due to political instability.
Africa,Togo,1,report,1975,partial national inventory,n/a,n/a,n/a,there are technically no data sources listed in the report.
America,Trinidad and Tobago,2,aerial photography,1994,Internal Records Drawing Office Forestry Division,aerial photography,1970,Forest Resource Inventory and Management Section Inventory of the Indigenous Forests of Trinidad and Tobago. 1980. ,
America,Turks and Caicos Islands,1,report,1983,"Caribbean Development Bank. 1983. Regional Forest Sector Study, Final Report, Caribbean Development Bank/DFS.",n/a,n/a,n/a,
Africa,Uganda,2,imagery,2005,National Forest Authority GIS and Mapping,report,1992,National Biomass Technical Report: 2003,
America,US Virgin Islands,3,report,2009,"US Forest Service, Forest Inventory and Analysis Database",report,2004,"US Forest Service, Forest Inventory and Analysis Database",
America,Venezuela,2,imagery,2010,"Ministerio del Poder Popular para el Ambiente (MPPA). 2011. Mapa de Cobertura Vegetal de Venezuela. Inventario Nacional Forestal. Escala 1:250.000. Despacho del Viceministro de Conservacion Ambiental, Direccion General de Bosques. Caracas, Venezuela.",report,1995,"Ministerio del Ambiente y Recursos Naturales (MARN). 1999. Mapa de la Vegetacion de Venezuela. Escala 1:125.000. Direccion de Vegetacion. Caracas, Venezuela.",
Asia,Vietnam,2,report,2007,General statistics office of Vietnam,report,2005,"National program for surveying, evluating the changes of forest resources",
Africa,Zambia,2,report,2007,"Zambia Forestry Department 2009, Integrated Land Use Assessment (ILUA)",report,1974,Chakanga M & de Backer M. 1986. The forest vegetation of Zambia. Wood Consumption and Resource Survey of Zambia.,
Africa,Zimbabwe,1,report,2008,VeGRIS 2008,report,1992,"Kwesha, D. & Dreiser, D. 1997, Vegetation mapping in Zimbabwe - VEGRIS",


Data_Product_Identifier,Data_Product_Name,Data_Product_Level1,Units,DPS_DCN_s_,Processing_Flow_Diagram_DCN_s_,Instrument_Class,Instrument_Name,First_Deployment_Date,DOORS_L2_Science_Req__,Regime_s_
ABSTHRM,PHSEN Thermistor Temperature,L0,volts,DCN 1341-00507,DCN 1342-00510,PHSEN,pH stable,2013-07-17,Derived from design to achieve PHWATER,Water Column
BARPRES,Barometric Pressure,L0,mbar,DCN 1341-00360,DCN 1342-00360,METBK,Meteorology bulk,2013-11,L2-SR-RQ-3020,"Air-Sea Interface, Surface Water"
BARPRES,Barometric Pressure,L1,Pa,DCN 1341-00360,DCN 1342-00360,METBK,Meteorology bulk,2013-11,L2-SR-RQ-3020,"Air-Sea Interface, Surface Water"
BENTHFL,Benthic Flow Rates,L2,m/yr,DCN 1341-00220,DCN 1342-00220,FLOBN,Benthic Flow,2014-07,L2-SR-RQ-3087,Seafloor/Crust
BOTPRES,Nano-resolution Bottom Pressure,L1,nanoPascal,DCN 1341-00070,DCN 1342-00060,BOTPT,Pressure bottom tilt,2014-07,L2-SR-RQ-3084,Seafloor/Crust
BOTSFLU,Seafloor Uplift and Deflation,L2,meters,DCN 1341-00080,DCN 1342-00060,BOTPT,Pressure bottom tilt,2014-07,L2-SR-RQ-3084,Seafloor/Crust
BOTTILT,Seafloor High-Resolution Tilt,L0,microradians,DCN 1341-00060,DCN 1342-00060,BOTPT,Pressure bottom tilt,2014-07,L2-SR-RQ-3084,Seafloor/Crust
BOTTILT,Seafloor High-Resolution Tilt,L1,microradians,DCN 1341-00060,DCN 1342-00060,BOTPT,Pressure bottom tilt,2014-07,L2-SR-RQ-3084,Seafloor/Crust
CAMSTIL,Still Image ,L1,Lossless compression Image File,DCN 1341-00830,n/a,CAMDS,Camera digital still strobe,2014-04,L2-SR-RQ-3805,"Benthic Boundary Layer, Seafloor/Crust"
CDOMFLO,Fluorometric CDOM Concentration,L0,counts,DCN 1341-00550,DCN 1342-00530,FLORT,Fluorometer three wavelength,2013-07-17,L2-SR-RQ-3187,Water Column
CDOMFLO,Fluorometric CDOM Concentration,L1,ppm,DCN 1341-00550,DCN 1342-00530,FLORT,Fluorometer three wavelength,2013-07-17,L2-SR-RQ-3187,Water Column
CHLAFLO,Fluorometric Chlorophyll-a Concentration,L0,counts,DCN 1341-00530,"DCN 1342-00531 (FLORD), DCN 1342-00530 (FLORT)",FLORD,Fluorometer two wavelength,2013-07-17,L2-SR-RQ-3185,Water Column
CHLAFLO,Fluorometric Chlorophyll-a Concentration,L0,counts,DCN 1341-00530,"DCN 1342-00531 (FLORD), DCN 1342-00530 (FLORT)",FLORT,Fluorometer three wavelength,2013-07-17,L2-SR-RQ-3185,Water Column
CHLAFLO,Fluorometric Chlorophyll-a Concentration,L1,ug/L,DCN 1341-00530,"DCN 1342-00531 (FLORD), DCN 1342-00530 (FLORT)",FLORD,Fluorometer two wavelength,2013-07-17,L2-SR-RQ-3185,Water Column
CHLAFLO,Fluorometric Chlorophyll-a Concentration,L1,ug/L,DCN 1341-00530,"DCN 1342-00531 (FLORD), DCN 1342-00530 (FLORT)",FLORT,Fluorometer three wavelength,2013-07-17,L2-SR-RQ-3185,Water Column
CO2ABS1,Optical Absorbance Ratio at 434nm,L0,unitless,DCN 1341-00487,DCN 1342-00490,PCO2W,pCO2 water,2013-11,Derived from design to achieve PCO2WAT,Water Column
CO2ABS2,Optical Absorbance Ratio at 620nm,L0,unitless,DCN 1341-00488,DCN 1342-00490,PCO2W,pCO2 water,2013-11,Derived from design to achieve PCO2WAT,Water Column
CO2FLUX,Flux of CO2 from the Ocean into the Atmosphere,L2,mol m-2 s-1,DCN 1341-00270,DCN 1342-00260,PCO2A,pCO2 air-sea,2013-11,L2-SR-RQ-3032,Air-Sea Interface
CO2THRM,PCO2W Thermistor Temperature,L0,volts,DCN 1341-00489,DCN 1342-00490,PCO2W,pCO2 water,2013-11,Derived from design to achieve PCO2WAT,Water Column
CONDSRF,Sea Surface Conductivity,L1,S/m,DCN 1341-00360,DCN 1342-00360,METBK,Meteorology bulk,2013-11,"L2-SR-RQ-3413, L2-SR-RQ-3711","Air-Sea Interface, Surface Water"
CONDWAT,Conductivity,L0,unitless,DCN 1341-00030,DCN 1342-00010,CTDAV,CTD AUV,2013-07-17,L2-SR-RQ-3045,Water Column
CONDWAT,Conductivity,L0,unitless,DCN 1341-00030,DCN 1342-00010,CTDBP,CTD Bottom Pumped,2013-07-17,L2-SR-RQ-3045,Water Column
CONDWAT,Conductivity,L0,unitless,DCN 1341-00030,DCN 1342-00010,CTDGV,CTD Glider,2013-07-17,L2-SR-RQ-3045,Water Column
CONDWAT,Conductivity,L0,unitless,DCN 1341-00030,DCN 1342-00010,CTDMO,CTD Mooring,2013-07-17,L2-SR-RQ-3045,Water Column
CONDWAT,Conductivity,L0,unitless,DCN 1341-00030,DCN 1342-00010,CTDPF,CTD Profiler,2013-07-17,L2-SR-RQ-3045,Water Column
CONDWAT,Conductivity,L1,S/m,DCN 1341-00030,DCN 1342-00010,CTDAV,CTD AUV,2013-07-17,L2-SR-RQ-3045,Water Column
CONDWAT,Conductivity,L1,S/m,DCN 1341-00030,DCN 1342-00010,CTDBP,CTD Bottom Pumped,2013-07-17,L2-SR-RQ-3045,Water Column
CONDWAT,Conductivity,L1,S/m,DCN 1341-00030,DCN 1342-00010,CTDGV,CTD Glider,2013-07-17,L2-SR-RQ-3045,Water Column
CONDWAT,Conductivity,L1,S/m,DCN 1341-00030,DCN 1342-00010,CTDMO,CTD Mooring,2013-07-17,L2-SR-RQ-3045,Water Column
CONDWAT,Conductivity,L1,S/m,DCN 1341-00030,DCN 1342-00010,CTDPF,CTD Profiler,2013-07-17,L2-SR-RQ-3045,Water Column
DENSITY,Density,L2,kg/m^3,DCN 1341-00050,DCN 1342-00010,CTDAV,CTD AUV,2013-07-17,L2-SR-RQ-3065,Water Column
DENSITY,Density,L2,kg/m^3,DCN 1341-00050,DCN 1342-00010,CTDBP,CTD Bottom Pumped,2013-07-17,L2-SR-RQ-3065,Water Column
DENSITY,Density,L2,kg/m^3,DCN 1341-00050,DCN 1342-00010,CTDGV,CTD Glider,2013-07-17,L2-SR-RQ-3065,Water Column
DENSITY,Density,L2,kg/m^3,DCN 1341-00050,DCN 1342-00010,CTDMO,CTD Mooring,2013-07-17,L2-SR-RQ-3065,Water Column
DENSITY,Density,L2,kg/m^3,DCN 1341-00050,DCN 1342-00010,CTDPF,CTD Profiler,2013-07-17,L2-SR-RQ-3065,Water Column
DNASAMP,16s rRNA sequence of filtered physical sample,L2,2 micron filter,DCN 1341-00630,n/a,PPSDN,DNA particulate,2014-07,L2-SR-RQ-3850,Seafloor/Crust
DOCONCF,Oxygen Concentration from Fastrep DO Instrument,L0,counts,DCN 1341-00521,DCN 1342-00521,DOFST,Oxygen dissolved fastresp,2013-11, L2-SR-RQ-3048,Water Column
DOCONCF,Oxygen Concentration from Fastrep DO Instrument,L2, µmol/kg,DCN 1341-00521,DCN 1342-00521,DOFST,Oxygen dissolved fastresp,2013-11,L2-SR-RQ-3048,Water Column
DOCONCS,Oxygen Concentration from Stable DO Instrument,L0,angular degrees,DCN 1341-00520,DCN 1342-00520,DOSTA,Oxygen dissolved stable,2013-07-17,L2-SR-RQ-3048,Water Column
DOCONCS,Oxygen Concentration from Stable DO Instrument,L1,umol/kg,DCN 1341-00520,DCN 1342-00520,DOSTA,Oxygen dissolved stable,2013-07-17, L2-SR-RQ-3048, Water Column
DOXYGEN,Oxygen Concentration from Stable DO Instrument,L2,µmol/kg ,DCN 1341-00520,DCN 1342-00520,DOSTA,Oxygen dissolved stable,2013-07-17,L2-SR-RQ-3048,Water Column
ECHOINT,Echo Intensity,L0,dB,"DCN 1341-00750 (ADCPA, ADCPS, ADCPT), DCN 1341-00760 (VADCP)","DCN 1342-00750 (ADCPA, ADCPS, ADCPT), DCN 1342-00760 (VADCP)",ADCPA,Velocity profile Mobile Asset,2013-07-17,L2-SR-RQ-3887,Water Column
ECHOINT,Echo Intensity,L0,dB,"DCN 1341-00750 (ADCPA, ADCPS, ADCPT), DCN 1341-00760 (VADCP)","DCN 1342-00750 (ADCPA, ADCPS, ADCPT), DCN 1342-00760 (VADCP)",ADCPS,Velocity profile Long Range,2013-07-17,L2-SR-RQ-3887,Water Column
ECHOINT,Echo Intensity,L0,dB,"DCN 1341-00750 (ADCPA, ADCPS, ADCPT), DCN 1341-00760 (VADCP)","DCN 1342-00750 (ADCPA, ADCPS, ADCPT), DCN 1342-00760 (VADCP)",ADCPT,Velocity profile Short Range,2013-07-17,L2-SR-RQ-3887,Water Column
ECHOINT,Echo Intensity,L0,dB,"DCN 1341-00750 (ADCPA, ADCPS, ADCPT), DCN 1341-00760 (VADCP)","DCN 1342-00750 (ADCPA, ADCPS, ADCPT), DCN 1342-00760 (VADCP)",VADCP,Velocity profile 50m turb,2013-07-17,L2-SR-RQ-3887,Water Column
ECHOINT,Echo Intensity,L1,dB,"DCN 1341-00750 (ADCPA, ADCPS, ADCPT), DCN 1341-00760 (VADCP)","DCN 1342-00750 (ADCPA, ADCPS, ADCPT), DCN 1342-00760 (VADCP)",ADCPA,Velocity profile Mobile Asset,2013-07-17,L2-SR-RQ-3887,Water Column
ECHOINT,Echo Intensity,L1,dB,"DCN 1341-00750 (ADCPA, ADCPS, ADCPT), DCN 1341-00760 (VADCP)","DCN 1342-00750 (ADCPA, ADCPS, ADCPT), DCN 1342-00760 (VADCP)",ADCPS,Velocity profile Long Range,2013-07-17,L2-SR-RQ-3887,Water Column
ECHOINT,Echo Intensity,L1,dB,"DCN 1341-00750 (ADCPA, ADCPS, ADCPT), DCN 1341-00760 (VADCP)","DCN 1342-00750 (ADCPA, ADCPS, ADCPT), DCN 1342-00760 (VADCP)",ADCPT,Velocity profile Short Range,2013-07-17,L2-SR-RQ-3887,Water Column
ECHOINT,Echo Intensity,L1,dB,"DCN 1341-00750 (ADCPA, ADCPS, ADCPT), DCN 1341-00760 (VADCP)","DCN 1342-00750 (ADCPA, ADCPS, ADCPT), DCN 1342-00760 (VADCP)",VADCP,Velocity profile 50m turb,2013-07-17,L2-SR-RQ-3887,Water Column
FLUBSCT,Optical Backscatter (Red Wavelengths),L0,counts,DCN 1341-00540,"DCN 1342-00531 (FLORD), DCN 1342-00530 (FLORT)",FLORD,Fluorometer two wavelength,2013-07-17,L2-SR-RQ-3059,Water Column
FLUBSCT,Optical Backscatter (Red Wavelengths),L0,counts,DCN 1341-00540,"DCN 1342-00531 (FLORD), DCN 1342-00530 (FLORT)",FLORT,Fluorometer three wavelength,2013-07-17,L2-SR-RQ-3059,Water Column
FLUBSCT,Optical Backscatter (Red Wavelengths),L1,1/m,DCN 1341-00540,"DCN 1342-00531 (FLORD), DCN 1342-00530 (FLORT)",FLORD,Fluorometer two wavelength,2013-07-17,L2-SR-RQ-3059,Water Column
FLUBSCT,Optical Backscatter (Red Wavelengths),L1,1/m,DCN 1341-00540,"DCN 1342-00531 (FLORD), DCN 1342-00530 (FLORT)",FLORT,Fluorometer three wavelength,2013-07-17,L2-SR-RQ-3059,Water Column
FLUXHOT,Direct Covariance Flux of Heat,L2,J m^(-2) s^(-1),DCN 1341-00330,DCN 1342-00280,FDCHP,Flux direct covariance,2013-11,L2-SR-RQ-3062,Air-Sea Interface
FLUXMOM,Direct Covariance Flux of Momentum,L2,kg m^(-1) s^(-2),DCN 1341-00320,DCN 1342-00280,FDCHP,Flux direct covariance,2013-11,L2-SR-RQ-3033,Air-Sea Interface
FRSHFLX ,Freshwater Flux,L2,m3/s,,,METBK,Meteorology bulk,2013-11,,
GRNDACC,Broadband Ground Acceleration,L1,m/s^2,DCN 1341-00100,DCN 1342-00090,OBSBB,Seismometer BB triaxial accel,2014-07,L2-SR-RQ-3603,Seafloor/Crust
GRNDACC,Broadband Ground Acceleration,L1,m/s^2,DCN 1341-00100,DCN 1342-00090,OBSBK,Seismometer BB triaxial keck,2014-07,L2-SR-RQ-3603,Seafloor/Crust
GRNDVEL,Broadband Ground Velocity,L1,m/s,DCN 1341-00090,DCN 1342-00090,OBSBB,Seismometer BB triaxial accel,2014-07,L2-SR-RQ-3096,Seafloor/Crust
GRNDVEL,Broadband Ground Velocity,L1,m/s,DCN 1341-00090,DCN 1342-00090,OBSBK,Seismometer BB triaxial keck,2014-07,L2-SR-RQ-3096,Seafloor/Crust
HDVIDEO,HD Video ,L1,Lossless compression Image File,DCN 1341-00840,n/a,CAMHD,Camera digital video HD,2014-07,L2-SR-RQ-3804,Seafloor/Crust
HEATFLX ,Net Heat Flux,L2,W/m2,,,METBK,Meteorology bulk,2013-11,,
HYDAPBB,Broadband Acoustic pressure waves ,L0,TBD,DCN 1341-00820,DCN 1342-00810,HYDBB,Hydrophone BB passive,2014-07,L2-SR-RQ-3086,"Water Column, Seafloor/Crust"
HYDAPBB,Broadband Acoustic pressure waves ,L1,dB//1uPa/V,DCN 1341-00820,DCN 1342-00810,HYDBB,Hydrophone BB passive,2014-07,L2-SR-RQ-3086,"Water Column, Seafloor/Crust"
HYDAPLF,Low Frequency Acoustic pressure waves,L0,,DCN 1341-00821,DCN 1341-00821,HYDLF,Hydrophone LF passive,2014-07,,
HYDAPLF,Low Frequency Acoustic pressure waves,L1,,DCN 1341-00821,DCN 1342-00821,HYDLF,Hydrophone LF passive,2014-07,,
HYDFRBB,Broadband Frequency,L0,TBD,DCN 1341-00810,DCN 1342-00810,HYDBB,Hydrophone BB passive,2014-07,Derived from design to achieve HYDACR,"Water Column, Seafloor/Crust"
HYDFRBB,Broadband Frequency,L1,KHz,DCN 1341-00810,DCN 1342-00810,HYDBB,Hydrophone BB passive,2014-07,Derived from design to achieve HYDACR,"Water Column, Seafloor/Crust"
IES_HEF,Horizontal Electric Fields,L0,TBD,DCN 1341-00580,DCN 1342-00560,HPIES,IES pressure velocity,2014-07,L2-SR-RQ-3912,Water Column
IES_HEF,Horizontal Electric Fields,L1,micro volt/cm,DCN 1341-00580,DCN 1342-00560,HPIES,IES pressure velocity,2014-07,L2-SR-RQ-3912,Water Column
IES_WPP,Water Property Profile Time Series,L2,"T (degree C), salinity (unitless), density (kgm-3)",DCN 1341-00600,DCN 1342-00560,HPIES,IES pressure velocity,2014-07,L2-SR-RQ-3073,Water Column
IESAHWV,Vertically Averaged Horizontal Water Velocity (VAHWV) ,L2,m/s,DCN 1341-00590,DCN 1342-00560,HPIES,IES pressure velocity,2014-07,L2-SR-RQ-3641,Water Column
IESHEAT,Water Column Heat Content,L2,Jm-2,DCN 1341-00610,DCN 1342-00560,HPIES,IES pressure velocity,2014-07,L2-SR-RQ-3073,Water Column
IESPRES,Bottom Pressure,L0,TBD,DCN 1341-00570,DCN 1342-00560,HPIES,IES pressure velocity,2014-07,L2-SR-RQ-3918,Water Column
IESPRES,Bottom Pressure,L1,Pa,DCN 1341-00570,DCN 1342-00560,HPIES,IES pressure velocity,2014-07,L2-SR-RQ-3918,Water Column
IESRATT,Roundtrip Acoustic Travel Time (RATT),L0,TBD,DCN 1341-00560,DCN 1342-00560,HPIES,IES pressure velocity,2014-07,L2-SR-RQ-3593,Water Column
IESRATT,Roundtrip Acoustic Travel Time (RATT),L1,milliseconds,DCN 1341-00560,DCN 1342-00560,HPIES,IES pressure velocity,2014-07,L2-SR-RQ-3593,Water Column
LATNFLX ,Latent Heat Flux,L2,W/m2,,,METBK,Meteorology bulk,2013-11,,
LONGIRR,Downwelling Longwave Irradiance,L1,W/m2,DCN 1341-00360,DCN 1342-00360,METBK,Meteorology bulk,2013-11,L2-SR-RQ-3021,"Air-Sea Interface, Surface Water"
MASSPEC,Suite of Dissolved Gas Measurements (10-20 individual gases) vs. Time ,L0,TBD,DCN 1341-00240,DCN 1342-00240,MASSP,Mass Spectrometer,2014-07,L2-SR-RQ-3094,Seafloor/Crust
MASSPEC,Suite of Dissolved Gas Measurements (10-20 individual gases) vs. Time ,L1,uM and daltons,DCN 1341-00240,DCN 1342-00240,MASSP,Mass Spectrometer,2014-07,L2-SR-RQ-3094,Seafloor/Crust
MOMMFLX,Momentum Flux (Wind Stress) ,L2,N/m2,,,METBK,Meteorology bulk,2013-11,,
MOTFLUX,Platform Direction and Tilt (3 axes),L0,TBD,DCN 1341-00301,DCN 1342-00280,FDCHP,Flux direct covariance,2013-11,L2-SR-RQ-3025,Air-Sea Interface
NETLIRR ,Net Longwave Irradiance ,L2,W/m2,,,METBK,Meteorology bulk,2013-11,,
NETSIRR ,Net Shortwave Irradiance ,L2,W/m2,,,METBK,Meteorology bulk,2013-11,,
NITROPT,Nitrate Concentration,L1,µM,DCN 1341-00620,DCN 1342-00620,NUTNR,Nutrient nitrate,2013-11,L2-SR-RQ-3050,Water Column
OPTABSN,Optical Absorption Coefficient,L2,1/m,DCN 1341-00700,DCN 1342-00690,OPTAA,Attenuation absorption optical,2013-11,L2-SR-RQ-3926,Water Column
OPTAREF,Reference Absorption,L0,,1341-00700,1342-00690,OPTAA,Attenuation absorption optical,2013-11,,Water Column
OPTASIG,Signal Absorption,L0,,1341-00700,1342-00690 ,OPTAA,Attenuation absorption optical,2013-11,,Water Column
OPTATTN,Optical Beam Attenuation Coefficient,L2,1/m,DCN 1341-00690,DCN 1342-00690,OPTAA,Attenuation absorption optical,2013-11,L2-SR-RQ-3928,Water Column
OPTCREF,Reference Beam Attenuation,L0,unitless,"DCN 1341-00690, DCN 1341-00700",DCN 1342-00690,OPTAA,Attenuation absorption optical,2013-11,"L2-SR-RQ-3926, L2-SR-RQ-3928",Water Column
OPTCSIG,Signal Beam Attenuation,L0,unitless,"DCN 1341-00690, DCN 1341-00700",DCN 1342-00690,OPTAA,Attenuation absorption optical,2013-11,"L2-SR-RQ-3926, L2-SR-RQ-3928",Water Column
OPTPARW,Photosynthetically Active Radiation (400-700 nm),L0,"counts (Satl), volts (Bios)","DCN 1341-00720 (Satl), DCN 1341-00721 (Bios)",DCN 1342-00720,PARAD,PAR,2013-10,L2-SR-RQ-3670,Water Column
OPTPARW,Photosynthetically Active Radiation (400-700 nm),L1,µmol photons/m^2*s,"DCN 1341-00720 (Satl), DCN 1341-00721 (Bios)",DCN 1342-00720,PARAD,PAR,2013-10,L2-SR-RQ-3670,Water Column
OPTTEMP,Temperature from OPTAA,L0,degrees C,"DCN 1341-00690, DCN 1341-00700",DCN 1342-00690,OPTAA,Attenuation absorption optical,2013-11,"L2-SR-RQ-3926, L2-SR-RQ-3928",Water Column
PCO2ATM,Partial Pressure of CO2 in Atmosphere,L1,µatm,DCN 1341-00260,DCN 1342-00260,PCO2A,pCO2 air-sea,2013-11,L2-SR-RQ-3023,Air-Sea Interface
PCO2SSW,Partial Pressure of CO2 in Surface Sea Water,L1,µatm,DCN 1341-00260,DCN 1342-00260,PCO2A,pCO2 air-sea,2013-11,L2-SR-RQ-3023,Air-Sea Interface
PCO2WAT,Partial Pressure of CO2 in Water,L1,µatm,DCN 1341-00490,DCN 1342-00490,PCO2W,pCO2 water,2013-11,L2-SR-RQ-3049,Water Column
PH434SI,Optical Absorbance Signal Intensity at 434nm,L0,unitless,DCN 1341-00508,DCN 1342-00510,PHSEN,pH stable,2013-07-17,Derived from design to achieve PHWATER,Water Column
PH578SI,Optical Absorbance Signal Intensity at 578nm,L0,unitless,DCN 1341-00509,DCN 1342-00510,PHSEN,pH stable,2013-07-17,Derived from design to achieve PHWATER,Water Column
PHSSAMP,Physical Fluid Sample – Diffuse fluid chemistry,L2,No Direct Datastream to OOI,"DCN 1341-00640 (OSMOI), DCN 1341-00641 (RASFL)",n/a,OSMOI,Watersample chem trace,2014-07,L2-SR-RQ-3088,Seafloor/Crust
PHSSAMP,Physical Fluid Sample – Diffuse fluid chemistry,L2,No Direct Datastream to OOI,"DCN 1341-00640 (OSMOI), DCN 1341-00641 (RASFL)",n/a,RASFL,Watersample chem trace H2S pH,2014-07,L2-SR-RQ-3088,Seafloor/Crust
PHWATER,pH,L1,pH units,DCN 1341-00510,DCN 1342-00510,PHSEN,pH stable,2013-07-17,L2-SR-RQ-3047,Water Column
PRACSAL,Practical Salinity,L2,unitless,DCN 1341-00040,DCN 1342-00010,CTDAV,CTD AUV,2013-07-17,L2-SR-RQ-3064,Water Column
PRACSAL,Practical Salinity,L2,unitless,DCN 1341-00040,DCN 1342-00010,CTDBP,CTD Bottom Pumped,2013-07-17,L2-SR-RQ-3064,Water Column
PRACSAL,Practical Salinity,L2,unitless,DCN 1341-00040,DCN 1342-00010,CTDGV,CTD Glider,2013-07-17,L2-SR-RQ-3064,Water Column
PRACSAL,Practical Salinity,L2,unitless,DCN 1341-00040,DCN 1342-00010,CTDMO,CTD Mooring,2013-07-17,L2-SR-RQ-3064,Water Column
PRACSAL,Practical Salinity,L2,unitless,DCN 1341-00040,DCN 1342-00010,CTDPF,CTD Profiler,2013-07-17,L2-SR-RQ-3064,Water Column
PRECIPM,Precipitation,L1,mm,DCN 1341-00360,DCN 1342-00360,METBK,Meteorology bulk,2013-11,L2-SR-RQ-3024,"Air-Sea Interface, Surface Water"
PRESAIR,PCO2A Gas Stream Pressure,L0,mbar,DCN 1341-00260,DCN 1342-00260,PCO2A,pCO2 air-sea,2013-11,Derived from design to achieve PCO2AIR,Air-Sea Interface
PRESWAT,Pressure (Depth),L0,unitless,DCN 1341-00020,DCN 1342-00010,CTDAV,CTD AUV,2013-07-17,L2-SR-RQ-3046,Water Column
PRESWAT,Pressure (Depth),L0,unitless,DCN 1341-00020,DCN 1342-00010,CTDBP,CTD Bottom Pumped,2013-07-17,L2-SR-RQ-3046,Water Column
PRESWAT,Pressure (Depth),L0,unitless,DCN 1341-00020,DCN 1342-00010,CTDGV,CTD Glider,2013-07-17,L2-SR-RQ-3046,Water Column
PRESWAT,Pressure (Depth),L0,unitless,DCN 1341-00020,DCN 1342-00010,CTDMO,CTD Mooring,2013-07-17,L2-SR-RQ-3046,Water Column
PRESWAT,Pressure (Depth),L0,unitless,DCN 1341-00020,DCN 1342-00010,CTDPF,CTD Profiler,2013-07-17,L2-SR-RQ-3046,Water Column
PRESWAT,Pressure (Depth),L1,Pa,DCN 1341-00020,DCN 1342-00010,CTDAV,CTD AUV,2013-07-17,L2-SR-RQ-3046,Water Column
PRESWAT,Pressure (Depth),L1,Pa,DCN 1341-00020,DCN 1342-00010,CTDBP,CTD Bottom Pumped,2013-07-17,L2-SR-RQ-3046,Water Column
PRESWAT,Pressure (Depth),L1,Pa,DCN 1341-00020,DCN 1342-00010,CTDGV,CTD Glider,2013-07-17,L2-SR-RQ-3046,Water Column
PRESWAT,Pressure (Depth),L1,Pa,DCN 1341-00020,DCN 1342-00010,CTDMO,CTD Mooring,2013-07-17,L2-SR-RQ-3046,Water Column
PRESWAT,Pressure (Depth),L1,Pa,DCN 1341-00020,DCN 1342-00010,CTDPF,CTD Profiler,2013-07-17,L2-SR-RQ-3046,Water Column
RAINFLX,Rain Heat Flux,L2,W/m2,,,METBK,Meteorology bulk,2013-11,,
RAINRTE,Rain rate,L2,mm/hr,,,METBK,Meteorology bulk,2013-11,,
RELHUMI,Relative Humidity,L1,%,"DCN 1341-00280 (FDCHP), DCN 1341-00360 (METBK)","DCN 1342-00280 (FDCHP), DCN 1342-00360 (METBK)",METBK,Meteorology bulk,2013-11,L2-SR-RQ-3025,"Air-Sea Interface, Surface Water"
SALSURF,Sea Surface Salinity ,L2,unitless,,,METBK,Meteorology bulk,2013-11,,
SENSFLX ,Sensible Heat Flux ,L2,W/m2,,,METBK,Meteorology bulk,2013-11,,
SFLPRES,Seafloor Pressure,L0,Pa,"DCN 1341-00230 (PRESF), DCN 1341-00231 (PREST)","DCN 1342-00230 (PRESF), DCN 1342-00231 (PREST) ",PRESF,Pressure SF,2013-11,L2-SR-RQ-3083,Seafloor/Crust
SFLPRES,Seafloor Pressure,L0,Pa,"DCN 1341-00230 (PRESF), DCN 1341-00231 (PREST)","DCN 1342-00230 (PRESF), DCN 1342-00231 (PREST) ",PREST,Pressure SF tidal,2013-11,L2-SR-RQ-3083,Seafloor/Crust
SFLPRES,Seafloor Pressure,L1,Pa,"DCN 1341-00230 (PRESF), DCN 1341-00231 (PREST)","DCN 1342-00230 (PRESF), DCN 1342-00231 (PREST)",PRESF,Pressure SF,2013-11,L2-SR-RQ-3083,Seafloor/Crust
SFLPRES,Seafloor Pressure,L1,Pa,"DCN 1341-00230 (PRESF), DCN 1341-00231 (PREST)","DCN 1342-00230 (PRESF), DCN 1342-00231 (PREST)",PREST,Pressure SF tidal,2013-11,L2-SR-RQ-3083,Seafloor/Crust
SGRDVEL,Short Period Ground Velocity,L1,m/s,DCN 1341-00110,DCN 1342-00110,OBSSP,Seismometer shortperiod,2014-07,L2-SR-RQ-3100,Seafloor/Crust
SHRTIRR,Downwelling Shortwave Irradiance ,L1,W/m2,DCN 1341-00360,DCN 1342-00360,METBK,Meteorology bulk,2013-11,L2-SR-RQ-3022,"Air-Sea Interface, Surface Water"
SONBSCA,Multi-Frequency Acoustic Backscatter,L0,TBD,DCN 1341-00800,DCN 1342-00800,ZPLSC,Plankton ZP sonar coastal,2013-07-17,L2-SR-RQ-3054,Water Column
SONBSCA,Multi-Frequency Acoustic Backscatter,L0,TBD,DCN 1341-00800,DCN 1342-00800,ZPLSG,Plankton ZP sonar global,2013-07-17,L2-SR-RQ-3054,Water Column
SONBSCA,Multi-Frequency Acoustic Backscatter,L1,dB re 1(m^2 nmi^-2),DCN 1341-00800,DCN 1342-00800,ZPLSC,Plankton ZP sonar coastal,2013-07-17,L2-SR-RQ-3054,Water Column
SONBSCA,Multi-Frequency Acoustic Backscatter,L1,dB re 1(m^2 nmi^-2),DCN 1341-00800,DCN 1342-00800,ZPLSG,Plankton ZP sonar global,2013-07-17,L2-SR-RQ-3054,Water Column
SPECHUM,Specific Humidity,L2,%,DCN 1341-00370,DCN 1342-00360,METBK,Meteorology bulk,2013-11,L2-SR-RQ-3179 ,"Air-Sea Interface, Surface Water"
SPECTIR,Downwelling Spectral Irradiance ,L0,TBD,DCN 1341-00730,DCN 1342-00730,SPKIR,spectral irradiance,2013-11,L2-SR-RQ-3051,Water Column
SPECTIR,Downwelling Spectral Irradiance ,L1,µW*cm^-2*nm^-1,DCN 1341-00730,DCN 1342-00730,SPKIR,spectral irradiance,2013-11,L2-SR-RQ-3051,Water Column
SPHUM2M,Specific Humidity at 2 m,L2,%,,,METBK,Meteorology bulk,2013-11,,
TEMPA2M,Air Temperature at 2 m,L2,degrees C,,,METBK,Meteorology bulk,2013-11,,
TEMPAIR,Air Temperature,L1,degree C,DCN 1341-00360,DCN 1342-00360,METBK,Meteorology bulk,2013-11,L2-SR-RQ-3033,"Air-Sea Interface, Surface Water"
TEMPSFL,Temperature Array in Spatial Grid,L0,TBD,DCN 1341-00130,DCN 1342-00130,TMPSF,Temperature seafloor,2014-07,L2-SR-RQ-3101,Seafloor/Crust
TEMPSFL,Temperature Array in Spatial Grid,L1,C,DCN 1341-00130,DCN 1342-00130,TMPSF,Temperature seafloor,2014-07,L2-SR-RQ-3101,Seafloor/Crust
TEMPSRF,Sea Surface Temperature,L1,degree C,DCN 1341-00360,DCN 1342-00360,METBK,Meteorology bulk,2013-11,"L2-SR-RQ-3416, L2-SR-RQ-3708","Air-Sea Interface, Surface Water"
TEMPVNT,Vent Fluid Temperature from RASFL,L0,TBD,DCN 1341-00140,DCN 1342-00140,RASFL,Watersample chem trace H2S pH,2014-07,L2-SR-RQ-3408,Seafloor/Crust
TEMPVNT,Vent Fluid Temperature from RASFL,L1,degrees C,DCN 1341-00140,DCN 1342-00140,RASFL,Watersample chem trace H2S pH,2014-07,L2-SR-RQ-3408,Seafloor/Crust
TEMPWAT,Temperature,L0,unitless,DCN 1341-00010,DCN 1342-00010,CTDAV,CTD AUV,2013-07-17,L2-SR-RQ-3044,Water Column
TEMPWAT,Temperature,L0,unitless,DCN 1341-00010,DCN 1342-00010,CTDBP,CTD Bottom Pumped,2013-07-17,L2-SR-RQ-3044,Water Column
TEMPWAT,Temperature,L0,unitless,DCN 1341-00010,DCN 1342-00010,CTDGV,CTD Glider,2013-07-17,L2-SR-RQ-3044,Water Column
TEMPWAT,Temperature,L0,unitless,DCN 1341-00010,DCN 1342-00010,CTDMO,CTD Mooring,2013-07-17,L2-SR-RQ-3044,Water Column
TEMPWAT,Temperature,L0,unitless,DCN 1341-00010,DCN 1342-00010,CTDPF,CTD Profiler,2013-07-17,L2-SR-RQ-3044,Water Column
TEMPWAT,Temperature,L1,degrees C,DCN 1341-00010,DCN 1342-00010,CTDAV,CTD AUV,2013-07-17,L2-SR-RQ-3044,Water Column
TEMPWAT,Temperature,L1,degrees C,DCN 1341-00010,DCN 1342-00010,CTDBP,CTD Bottom Pumped,2013-07-17,L2-SR-RQ-3044,Water Column
TEMPWAT,Temperature,L1,degrees C,DCN 1341-00010,DCN 1342-00010,CTDGV,CTD Glider,2013-07-17,L2-SR-RQ-3044,Water Column
TEMPWAT,Temperature,L1,degrees C,DCN 1341-00010,DCN 1342-00010,CTDMO,CTD Mooring,2013-07-17,L2-SR-RQ-3044,Water Column
TEMPWAT,Temperature,L1,degrees C,DCN 1341-00010,DCN 1342-00010,CTDPF,CTD Profiler,2013-07-17,L2-SR-RQ-3044,Water Column
THSPHHC,Hydrogen Concentration,L0,V,DCN 1341-00210,DCN 1342-00120,THSPH,Temp H2 H2S pH,2014-07,L2-SR-RQ-3092,Seafloor/Crust
THSPHHC,Hydrogen Concentration,L2,Moles/kg,DCN 1341-00210,DCN 1342-00120,THSPH,Temp H2 H2S pH,2014-07,L2-SR-RQ-3092,Seafloor/Crust
THSPHHS,Hydrogen Sulfide Concentration,L0,V,DCN 1341-00200,DCN 1342-00120,THSPH,Temp H2 H2S pH,2014-07,L2-SR-RQ-3092,Seafloor/Crust
THSPHHS,Hydrogen Sulfide Concentration,L2,Moles/kg,DCN 1341-00200,DCN 1342-00120,THSPH,Temp H2 H2S pH,2014-07,L2-SR-RQ-3092,Seafloor/Crust
THSPHPH,pH,L0,V,DCN 1341-00190,DCN 1342-00120,THSPH,Temp H2 H2S pH,2014-07,L2-SR-RQ-3092,Seafloor/Crust
THSPHPH,pH,L2,pH units,DCN 1341-00190,DCN 1342-00120,THSPH,Temp H2 H2S pH,2014-07,L2-SR-RQ-3092,Seafloor/Crust
THSPHTE,Vent Fluid Temperature from THSPH,L0,V,DCN 1341-00120,DCN 1342-00120,THSPH,Temp H2 H2S pH,2014-07,L2-SR-RQ-3092,Seafloor/Crust
THSPHTE,Vent Fluid Temperature from THSPH,L1,degrees C,DCN 1341-00120,DCN 1342-00120,THSPH,Temp H2 H2S pH,2014-07,L2-SR-RQ-3092,Seafloor/Crust
TMPATUR,Turbulent Air Temperature,L0,TBD ,DCN 1341-00290,DCN 1342-00280,FDCHP,Flux direct covariance,2013-11,L2-SR-RQ-3894,Air-Sea Interface
TMPATUR,Turbulent Air Temperature,L1,degree C,DCN 1341-00290,DCN 1342-00280,FDCHP,Flux direct covariance,2013-11,L2-SR-RQ-3894,Air-Sea Interface
TRHPHCC,Vent Fluid Chloride Concentration,L2,µM,DCN 1341-00160,DCN 1342-00150,TRHPH,Temp resist,2014-07,L2-SR-RQ-3090,Seafloor/Crust
TRHPHEH,Vent Fluid Oxidation-Reduction Potential (ORP),L1,mV,DCN 1341-00170,DCN 1342-00150,TRHPH,Temp resist,2014-07,L2-SR-RQ-3090,Seafloor/Crust
TRHPHR1,Resistivity R1,L0,"Ohm, raw voltage",DCN 1341-00160,DCN 1342-00150,TRHPH,Temp resist,2014-07,L2-SR-RQ-3090,Seafloor/Crust
TRHPHR2,Resistivity R2,L0,"Ohm, raw voltage",DCN 1341-00160,DCN 1342-00150,TRHPH,Temp resist,2014-07,L2-SR-RQ-3090,Seafloor/Crust
TRHPHR3,Resistivity R3,L0,"Ohm, raw voltage",DCN 1341-00160,DCN 1342-00150,TRHPH,Temp resist,2014-07,L2-SR-RQ-3090,Seafloor/Crust
TRHPHTE,Vent Fluid Temperature from TRHPH,L1,C,DCN 1341-00150,DCN 1342-00150,TRHPH,Temp resist,2014-07,L2-SR-RQ-3090,Seafloor/Crust
TRHPHVC,Thermocouple Temperature,L0,V,DCN 1341-00150,DCN 1342-00150,TRHPH,Temp resist,2014-07,L2-SR-RQ-3090,Seafloor/Crust
TRHPHVO,ORP Volts,L0,V,DCN 1341-00170,DCN 1342-00150,TRHPH,Temp resist,2014-07,L2-SR-RQ-3090,Seafloor/Crust
TRHPHVS,Thermistor Temperature,L0,V,DCN 1341-00150,DCN 1342-00150,TRHPH,Temp resist,2014-07,L2-SR-RQ-3090,Seafloor/Crust
VELPROF,Velocity Profile,L0,mm/s,DCN 1341-00750,DCN 1342-00750,ADCPA,Velocity profile Mobile Asset,2013-07-17,L2-SR-RQ-3757,Water Column
VELPROF,Velocity Profile,L0,mm/s,DCN 1341-00750,DCN 1342-00750,ADCPS,Velocity profile Long Range,2013-07-17,L2-SR-RQ-3757,Water Column
VELPROF,Velocity Profile,L0,mm/s,DCN 1341-00750,DCN 1342-00750,ADCPT,Velocity profile Short Range,2013-07-17,L2-SR-RQ-3757,Water Column
VELPROF,Velocity Profile,L1,m/s,DCN 1341-00750,DCN 1342-00750,ADCPA,Velocity profile Mobile Asset,2013-07-17,L2-SR-RQ-3757,Water Column
VELPROF,Velocity Profile,L1,m/s,DCN 1341-00750,DCN 1342-00750,ADCPS,Velocity profile Long Range,2013-07-17,L2-SR-RQ-3757,Water Column
VELPROF,Velocity Profile,L1,m/s,DCN 1341-00750,DCN 1342-00750,ADCPT,Velocity profile Short Range,2013-07-17,L2-SR-RQ-3757,Water Column
VELPTMN,Mean Point Water Velocity,L0,,DCN 1341-00790,DCN 1342-00790,VEL3D,Velocity point 3D turb,2013-07-17, L2-SR-RQ-3085,Water Column
VELPTMN,Mean Point Water Velocity,L0,,DCN 1341-00790,DCN 1342-00790,VELPT,Velocity point,2013-07-17, L2-SR-RQ-3085,Water Column
VELPTMN,Mean Point Water Velocity,L1,m/s,DCN 1341-00790,DCN 1342-00790,VEL3D,Velocity point 3D turb,2013-07-17,L2-SR-RQ-3085,Water Column
VELPTMN,Mean Point Water Velocity,L1,m/s,DCN 1341-00790,DCN 1342-00790,VELPT,Velocity point,2013-07-17,L2-SR-RQ-3085,Water Column
VELPTTU,Turbulent Point Water Velocity,L0,"cm/s (Nobska), mm/s (Nortek)","DCN 1341-00781 (Nobska), DCN 1341-00780 (Nortek)",DCN 1342-00780,VEL3D,Velocity point 3D turb,2013-07-17,L2-SR-RQ-3058,"Water Column, Seafloor/Crust"
VELPTTU,Turbulent Point Water Velocity,L1,m/s,"DCN 1341-00781 (Nobska), DCN 1341-00780 (Nortek)",DCN 1342-00780,VEL3D,Velocity point 3D turb,2013-07-17,L2-SR-RQ-3058,"Water Column, Seafloor/Crust"
VELTURB,Turbulent Velocity Profile,L1,m/s,DCN 1341-00760,DCN 1342-00760,VADCP,Velocity profile 50m turb,2014-07,L2-SR-RQ-3060,Water Column
WAVSTAT,Wave Spectral Properties,L0,m; s; degrees; Hz; m^2 Hz^-1,DCN 1341-00450,DCN 1342-00450,ADCPT,Velocity profile Short Range,2013-11,L2-SR-RQ-3587,"Air-Sea Interface, Surface Water"
WAVSTAT,Wave Spectral Properties,L0,m; s; degrees; Hz; m^2 Hz^-1,DCN 1341-00450,DCN 1342-00450,WAVSS,Wave spectra surface,2013-11,L2-SR-RQ-3587,"Air-Sea Interface, Surface Water"
WAVSTAT,Wave Spectral Properties,L2,m; s; degrees; Hz; m^2 Hz^-1,DCN 1341-00450,DCN 1342-00450,ADCPT,Velocity profile Short Range,2013-11,L2-SR-RQ-3587,"Air-Sea Interface, Surface Water"
WAVSTAT,Wave Spectral Properties,L2,m; s; degrees; Hz; m^2 Hz^-1,DCN 1341-00450,DCN 1342-00450,WAVSS,Wave spectra surface,2013-11,L2-SR-RQ-3587,"Air-Sea Interface, Surface Water"
WIND10M,Wind Velocity at 10 m  ,L2,m/s,,,METBK,Meteorology bulk,2013-11,,
WINDAVG,Mean Wind Velocity,L0,m/s,DCN 1341-00360,DCN 1342-00360,METBK,Meteorology bulk,2013-11,L2-SR-RQ-3027,"Air-Sea Interface, Surface Water"
WINDAVG,Mean Wind Velocity,L1,m/s,DCN 1341-00360,DCN 1342-00360,METBK,Meteorology bulk,2013-11,L2-SR-RQ-3027,"Air-Sea Interface, Surface Water"
WINDTUR,Wind Velocity in 3 Dimensions,L0,TBD,DCN 1341-00310,DCN 1342-00280,FDCHP,Flux direct covariance,2013-11,L2-SR-RQ-3028,Air-Sea Interface
WINDTUR,Wind Velocity in 3 Dimensions,L1,m/s,DCN 1341-00310,DCN 1342-00280,FDCHP,Flux direct covariance,2013-11,L2-SR-RQ-3028,Air-Sea Interface
XCO2ATM,CO2 Mole Fraction in Atmosphere,L0,ppm,DCN 1341-00260,DCN 1342-00260,PCO2A,pCO2 air-sea,2013-11,Derived from design to achieve PCO2AIR,Air-Sea Interface
XCO2SSW,CO2 Mole Fraction in Surface Sea Water,L0,ppm,DCN 1341-00260,DCN 1342-00260,PCO2A,pCO2 air-sea,2013-11,Derived from design to achieve PCO2AIR,Air-Sea Interface



StartDate,EndDate,Status,IPAddress,Progress,Duration (in seconds),Finished,RecordedDate,ResponseId,RecipientLastName,RecipientFirstName,RecipientEmail,ExternalReference,LocationLatitude,LocationLongitude,DistributionChannel,UserLanguage,degree,requiredDegree,notRequiredWhy,gv207,gv207_3_TEXT,satisfiedGv207,challengedGv207,learnedGv207,issueFamiliar_1,issueFamiliar_2,issueFamiliar_3,issueFamiliar_4,issueFamiliar_5,issueFamiliar_6,issueFamiliar_7,issueFamiliar_8,appsFamiliar_1,appsFamiliar_2,appsFamiliar_3,appsFamiliar_4,appsFamiliar_5,pValue,spurriousCorr,dissTitle,dissData,materialUsed_1,materialUsed_2,materialUsed_3,materialUsed_4,materialUsed_5,materialUsed_6,materialUsed_7,materialUsed_8,materialUsed_9,materialUsed_10,officeHours
2019-10-02 07:52:21,2019-10-02 07:53:24,Survey Preview,,100,63,True,2019-10-02 07:53:24,R_307s5090vuVBiPk,,,,,51.5265960693359375,-0.013397216796875,preview,EN,adf,No,afdsfdas,Yes,,Moderately satisfied,Moderately challenging,A great deal,0 - Not at all,1,1,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,2,1,1,0 - Not at all,0 - Not at all,asdfaf,asdfafasdf,asdfadf,"Cross-sectional data,Non-linear regression,Causal inference methods (e.g. Instrumental variable regression, Regression discontinuity design, Difference-in-difference estimator,Laboratory experiments,Agent-based simulations",0 - Not at all,3,3,3,3,3,3,3,3,3,adf
2019-10-02 07:58:08,2019-10-02 08:09:43,IP Address,86.154.36.147,100,694,True,2019-10-02 08:09:43,R_3L1fXeaTkxTmKyY,,,,,51.4384002685546875,-0.0166015625,anonymous,EN,Economics and Politics,Yes,,Yes,,Moderately dissatisfied,Moderately challenging,A little,2,2,3,4,4,3,4,5-Very much,2,3,4,0 - Not at all,2,"Helps determine level of significance of results. ","Fast food causes obesity ",Economic analysis of cryptocurrencies,,4,2,4,4,0 - Not at all,0 - Not at all,5 - Very much,1,2,0 - Not at all,
2019-10-02 08:11:25,2019-10-02 08:16:43,IP Address,82.132.233.187,100,317,True,2019-10-02 08:16:43,R_2scZCZp86fMrYgP,,,,,51.49639892578125,-0.122406005859375,anonymous,EN,BA Politics,Yes,,Yes,,Moderately satisfied,Not challenging at all,A little,3,2,3,1,4,4,4,3,1,0 - Not at all,4,2,3,"the p value is the probability that something happened by chance and was not due to a relationship between two variables. it is often used with a significance level such as 0.05 to indicate that a relationship is significant ",a spurious corrolation is a corrolation where two things look to have a relationship but in fact dont.,"Constructivism and arab nationalism: an analysis of middle eastern identity politics ","Time-series/Longitudional data,Web-scraped data,Text analysis",3,2,4,4,3,0 - Not at all,4,1,0 - Not at all,2,sure its on the module outline
2019-10-02 08:59:34,2019-10-02 09:05:58,IP Address,151.16.47.207,100,384,True,2019-10-02 09:05:58,R_wN5AHgYn2k6KF9v,,,,,44.402801513671875,8.944793701171875,anonymous,EN,International Relations,No,I have previously taken the GV207 course and would like to have a q-step,Yes,,Extremely satisfied,Slightly challenging,A great deal,0 - Not at all,0 - Not at all,3,2,1,1,5-Very much,5-Very much,2,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,value of significance,,unknown,"Cross-sectional data,Time-series/Longitudional data,Causal inference methods (e.g. Instrumental variable regression, Regression discontinuity design, Difference-in-difference estimator",0 - Not at all,0 - Not at all,5 - Very much,5 - Very much,0 - Not at all,0 - Not at all,2,3,0 - Not at all,5 - Very much,thrusday form 11am to 1pm room 5.423
2019-10-02 11:06:12,2019-10-02 11:10:39,IP Address,85.255.232.156,100,266,True,2019-10-02 11:10:39,R_2dY2tHGmNSV5Taf,,,,,51.49639892578125,-0.122406005859375,anonymous,EN,"Politics ",No,"Developing Quantitative skills and using data ",Yes,,Moderately satisfied,Moderately challenging,A great deal,1,1,2,2,4,3,5-Very much,5-Very much,4,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,"Significance indicator ","Vaccinations causing autism ",N/A,,4,1,5 - Very much,5 - Very much,0 - Not at all,0 - Not at all,5 - Very much,1,0 - Not at all,0 - Not at all,-
2019-10-02 11:08:41,2019-10-02 11:13:20,IP Address,81.129.182.168,100,278,True,2019-10-02 11:13:20,R_3L59iJKYjOkNVQw,,,,,51.8827972412109375,1.0045928955078125,anonymous,EN," BA Modern History and Politics",Yes,,Yes,,Slightly satisfied,Moderately challenging,A moderate amount,3,4,3,3,4,3,3,3,3,2,2,2,3,It is the probability of correctly rejecting the null hypothesis,,Challenge Project,"Time-series/Longitudional data,Linear regression,Non-linear regression,Causal inference methods (e.g. Instrumental variable regression, Regression discontinuity design, Difference-in-difference estimator,Survey data,Web-scraped data,Text analysis",3,3,4,4,2,2,2,3,3,2,"Thursday 11 am - 1 pm, 5.423"
2019-10-02 14:34:05,2019-10-02 14:47:07,IP Address,217.41.63.56,100,781,True,2019-10-02 14:47:07,R_qFy8G6DhVlCDxU5,,,,,51.5666961669921875,-0.216705322265625,anonymous,EN,International relations,No,"Im interested in AQM pathway and skills I will gain from this course ",Yes,,Moderately satisfied,Very challenging,A moderate amount,0 - Not at all,0 - Not at all,1,1,3,3,1,3,0 - Not at all,0 - Not at all,2,0 - Not at all,0 - Not at all,"Determine the significance of the results of my hypothesis testing. ",,Not sure yet,"Cross-sectional data,Field experiments",5 - Very much,3,5 - Very much,4,1,0 - Not at all,3,1,0 - Not at all,0 - Not at all,I don’t know
2019-10-02 09:40:06,2019-10-04 03:40:14,IP Address,176.252.164.91,100,151208,True,2019-10-04 03:40:14,R_2vbGG88uY7tE7nH,,,,,52.045196533203125,1.12469482421875,anonymous,EN,International relations,No,Quantitative skills are really employable and great for research.,Yes,,Extremely satisfied,Very challenging,A lot,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,3,2,5-Very much,4,2,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,A p value is the % chance that the findings are chance based when the null hypothesis is true.,Margarine consumption being correlated to divorce in Maine,No clue but something to do with politics.,"Cross-sectional data,Time-series/Longitudional data,Panel data,Linear regression,Survey experiments,Survey data,Archival sources,Web-scraped data",2,2,4,4,3,0 - Not at all,4,5 - Very much,4,0 - Not at all,Thursday 11am-1pm
2019-10-04 10:11:29,2019-10-04 10:26:58,IP Address,94.11.226.126,100,928,True,2019-10-04 10:26:58,R_2wRoWPYR1ISx2vt,,,,,52.0417022705078125,1.1865997314453125,anonymous,EN,International Relations and Modern Languages,No,"I am interested in data analysis. I would like to develop my skills in R, statistical analysis, and even Stata (as mentioned in the e-mail). I want to pursue career opportunities in data analysis, or political risk management/consulting. ",Yes,,Moderately satisfied,Very challenging,A great deal,3,1,2,1,4,3,2,2,0 - Not at all,0 - Not at all,3,0 - Not at all,0 - Not at all,"a value between 0 and 1, if the p-value is less than 0.05 we can reject the null hypothesis",number of people murdered and raising temperature,GV832 Collaborative Research Project - Voter Turnout and Democratic Breakdown,"Cross-sectional data,Time-series/Longitudional data,Panel data,Linear regression,Non-linear regression",5 - Very much,1,5 - Very much,5 - Very much,3,0 - Not at all,5 - Very much,1,0 - Not at all,0 - Not at all,"Academic support hours Thursday 11am - 1pm, Location 5.423, Colchester Campus"
2019-10-06 03:17:29,2019-10-06 03:46:24,IP Address,5.151.215.96,100,1735,True,2019-10-06 03:46:24,R_331i4R04d9h7Q0k,,,,,51.9499969482421875,0.9167022705078125,anonymous,EN,Politics and International Relations,No,I felt as if this course would provide me with useful skills that will help me with further postgraduate study.,Yes,,Moderately satisfied,Moderately challenging,A lot,1,1,3,2,4,3,5-Very much,5-Very much,4,0 - Not at all,2,0 - Not at all,3,A p value is the level of statistical significance after performing a significance test,The lack of a brexit deal has had a negative a effect of Tottenham Hotspur’s performance level,A comparative assessment on China’s relationship with its Special administrative regions,"Cross-sectional data,Linear regression,Non-linear regression,Causal inference methods (e.g. Instrumental variable regression, Regression discontinuity design, Difference-in-difference estimator",5 - Very much,5 - Very much,5 - Very much,5 - Very much,3,2,4,3,2,0 - Not at all,Thursday 11am-1pm
2019-10-06 05:47:17,2019-10-06 06:06:20,IP Address,80.189.159.133,100,1142,True,2019-10-06 06:06:20,R_3knUY7OPoqtsHs6,,,,,51.8343048095703125,0.910797119140625,anonymous,EN,International relations,No,AQM pathway and GV207,Yes,,Moderately satisfied,Moderately challenging,A lot,0 - Not at all,0 - Not at all,3,2,5-Very much,4,3,5-Very much,3,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,"shows whether a relationship is statistically significant, its the probability of getting a statistical result if the null hypothesis is correct","when there are confounding variables influencing X and Y: higher ice cream sales goes hand in hand with higher number of people drowning in swimming pools (they don't cause each other, they are both just a result of hot weather)","the title is not set yet, I will work with Dr. Lown on sustainable purchasing behaviour","Survey experiments,Field experiments,Laboratory experiments",2,0 - Not at all,5 - Very much,5 - Very much,0 - Not at all,0 - Not at all,5 - Very much,5 - Very much,5 - Very much,0 - Not at all," Thursday 11am - 1pm, 5.423"
2019-10-06 06:19:01,2019-10-06 06:23:52,IP Address,31.205.89.118,100,291,True,2019-10-06 06:23:53,R_12R93SKSPj8J7dq,,,,,51.8372955322265625,0.8173980712890625,anonymous,EN,"Philosophy, politics and Economics ",No,"Good Skills for Employment ",Yes,,Extremely satisfied,Extremely challenging,A great deal,0 - Not at all,0 - Not at all,2,3,4,4,5-Very much,5-Very much,5-Very much,4,0 - Not at all,0 - Not at all,0 - Not at all,"Shows if there is a significant relationship ","number of people with red hair correlates with number of people who go to spain ",i dont have one,"Cross-sectional data,Time-series/Longitudional data,Linear regression,Causal inference methods (e.g. Instrumental variable regression, Regression discontinuity design, Difference-in-difference estimator,Survey experiments,Field experiments,Survey data",4,2,5 - Very much,5 - Very much,1,0 - Not at all,4,3,0 - Not at all,0 - Not at all,"not sure "
2019-10-06 15:54:32,2019-10-06 16:17:51,IP Address,82.30.109.230,100,1398,True,2019-10-06 16:17:51,R_eRlH0WZNZODAXzH,,,,,51.8892059326171875,0.904205322265625,anonymous,EN,BA International relations,No,"I enjoyed previous compulsory statistical modules.  ",Yes,,Moderately satisfied,Very challenging,A lot,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,4,2,5-Very much,0 - Not at all,5-Very much,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,"How significant the relationship is. ","When it seems there is a relationship, but we find there is none - caused by a third factor. ","Successful integration of Central-Eastern European countries and European Union ",Time-series/Longitudional data,3,2,4,3,0 - Not at all,0 - Not at all,1,5 - Very much,1,0 - Not at all,
2019-10-06 17:17:26,2019-10-06 17:21:10,IP Address,31.205.89.72,100,223,True,2019-10-06 17:21:10,R_1FkvFYNFCvwSADn,,,,,51.8372955322265625,0.8173980712890625,anonymous,EN,Economics and Politics,Yes,,Yes,,Slightly dissatisfied,Very challenging,A moderate amount,0 - Not at all,0 - Not at all,3,3,1,1,1,2,1,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,"Probability of a null hypothesis ",Not sure,TBD,"Survey data,Archival sources,Web-scraped data,Text analysis",3,1,5 - Very much,3,1,0 - Not at all,2,0 - Not at all,0 - Not at all,0 - Not at all,
2019-10-07 05:20:53,2019-10-07 05:27:29,IP Address,86.11.250.251,100,395,True,2019-10-07 05:27:29,R_1ovy17KqRGKE5Mt,,,,,51.8892059326171875,0.904205322265625,anonymous,EN,International Relations,Yes,,Yes,,Extremely satisfied,Moderately challenging,A great deal,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,2,2,5-Very much,4,5-Very much,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,"the value which determines whether as result is statistically significant, must be below 0.05 to be significant in a two tailed test",as birth rate increases so does the number of people buying nicer cars- just because there is correlation does not mean there is any causation,Undecided,"Cross-sectional data,Time-series/Longitudional data,Panel data,Linear regression,Non-linear regression,Causal inference methods (e.g. Instrumental variable regression, Regression discontinuity design, Difference-in-difference estimator,Survey experiments,Laboratory experiments,Survey data",3,3,4,5 - Very much,1,1,1,2,0 - Not at all,0 - Not at all,unsure
2019-10-07 05:25:23,2019-10-07 05:45:44,IP Address,2.30.93.213,100,1221,True,2019-10-07 05:45:44,R_WdqzJWvG06YK3It,,,,,51.8892059326171875,0.904205322265625,anonymous,EN,International Relations BA (Hons) (IYA),No,AQM qualification pathway,Yes,,Slightly satisfied,Very challenging,A moderate amount,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,2,0 - Not at all,4,2,0 - Not at all,0 - Not at all,2,0 - Not at all,0 - Not at all,"Calculated probability that if a given H0 is true, one can still observe results equal to or more extreme than H1.  ","The famous example on eating chocolate correlated with being smart, or the one with ice cream consumption and murder rates. ","The 2018 Mexican Presidential Election ","Linear regression,Survey data",5 - Very much,1,5 - Very much,0 - Not at all,0 - Not at all,0 - Not at all,2,2,2,0 - Not at all,
2019-10-07 08:33:18,2019-10-07 08:49:36,IP Address,155.245.155.215,100,977,True,2019-10-07 08:49:36,R_1gdNGvfkVMPzFGM,,,,,51.9499969482421875,0.9167022705078125,anonymous,EN,IR,No,"Job leverage and friend recommendations ",Yes,,Slightly satisfied,Very challenging,A little,0 - Not at all,0 - Not at all,0 - Not at all,0 - Not at all,2,2,3,4,0 - Not at all,0 - Not at all,2,0 - Not at all,0 - Not at all,"the value used to indicate if the null hypothesis is true, if this value is >0.05, the hypothesis should be discarded","ice cream sales and shark attacks are positively associated. I really hate to use this, but just for the sake of this survey... lol","Globalization of a place (continent; country; city etc) and the spread of feminism in this place, the hypothesis is a positive correlation","Cross-sectional data,Time-series/Longitudional data,Panel data,Linear regression,Non-linear regression,Survey data,Archival sources",4,2,5 - Very much,5 - Very much,1,3,4,5 - Very much,1,0 - Not at all,available on moodle