{"kind":"task","effective_mode":"full","benchmark":{"kind":"benchmark","effective_mode":"full","slug":"longbench-v2","formal_name":"LongBench v2","introduction":"LongBench v2 evaluates deep understanding and reasoning over long contexts through multiple-choice questions. Its official description lists 503 questions spanning tasks such as single-document and multi-document QA and code-repository understanding.","introduction_ja":"","introduction_en":"","category":"Category not supplied","task_count":null,"acquisition_status":"Acquisition status not supplied","official_url":"https://huggingface.co/datasets/zai-org/LongBench-v2","indexing_mode":"noindex","profile":{"resources":[],"task_format":"","scoring":"","metric":"","size":"","answer_access":"","license":"","citation":"","maintainer":"","released":"","why_hard":"","related":[]}},"task_id":"b2f691bb-a8bf-51c6-b1fe-a6362ac86a1a","task_key":"train--66f659a8bb02136c067c1d68","task_revision_id":"3","upstream_id":"66f659a8bb02136c067c1d68","short_description":"Which type of bank business operations is directly related to the implementation…","config":"","split":"train","body":"{\"choice_A\":\"lending\",\"choice_B\":\"securities holdings\",\"choice_C\":\"bank funding\",\"choice_D\":\"asset purchases\",\"context\":\"TestEntity.TestCaseId,TestEntity.TestMethod,AdviceData.explorealocalityText,AdviceData.explorealocalityPopularSearchText,AdviceData.localityOne,AdviceData.localityTwo,AdviceData.projectOne,AdviceData.projectTwo,AdviceData.smartSearchText,AdviceData.smartSearchMinBudget,AdviceData.smartSearchMaxBudget,AdviceData.loanAmount,AdviceData.rateAndTrendsText,AdviceData.forumText\\nAdviceTestCaseID1,AdviceExploreAlocality,Dwarka,\\\"Dwarka, New Delhi\\\",,,,,,,,,\\nAdviceTestCaseID2,ComparelocalityInAdvice,,,\\\"Greater Kailash 2, New Delhi\\\",\\\"Mayur Vihar, New Delhi\\\",,,,,,,\\nAdviceTestCaseID3,CompareprojectInAdvice,,,,,\\\"ats one hamlet, Sector 104 ,Noida\\\",\\\"eco village ii, Noida Extension, Noida\\\",,,,,\\nAdviceTestCaseID4,SmartSearchInAdvice,,,,,,,New Delhi,1000,6000,,\\nAdviceTestCaseID5,SmartSearchInvestInAdvice,,,,,,,Mumbai,2000,8000,,\\nAdviceTestCaseID6,InvestSmartInAdvice,,,,,,,,,,,,\\nAdviceTestCaseID7,LoanCalculatorInAdvice,,,,,,,,,,1500000,\\nAdviceTestCaseID8,LoanCalculatorEMIInAdvice,,,,,,,,,,4500000,,\\nAdviceTestCaseID9,LoanCalculatorPrePaymentInAdvice,,,,,,,,,,2500000,,\\nAdviceTestCaseID10,LoanCalculatorRateChangeInAdvice,,,,,,,,,,3500000,,\\nAdviceTestCaseID11,RateandTrendsSectionInAdvice,,,,,,,,,,3500000,Bangalore,,\\nAdviceTestCaseID12,ForumSectionInAdvice,,,,,,,,,,,,2 Bhk,\\nAdviceTestCaseID13,FinanceSectionInAdvice,,,,,,,,,,,,,\\nAdviceTestCaseID14,HomeBuyingGuideInAdvice,,,,,,,,,,,,,\\nAdviceTestCaseID15,ResearchReportInAdvice,,,,,,,,,,,,,\\n\\nDataId,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\\n2054706,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,,,,\\n2059715,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,,,,\\n2054719,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,,,,\\n2057252,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,,,,\\n2052669,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,,,,\\n2507369,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,,\\n670283,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,,\\n3670107,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,,\\n836859,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,,\\n499194,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,,\\n2507370,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,,\\n670284,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,,\\n3670108,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,,\\n836860,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,,\\n499195,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,,\\n2958785,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,,\\n2696371,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,,\\n2507526,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,,\\n2508918,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,,\\n3698311,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,,\\n448663,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,,\\n2777704,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,,\\n2507518,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,,\\n3938518,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,,\\n2506228,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,,\\n1092086,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,,,,\\n1093748,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,,,,\\n1092175,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,,,,\\n1090868,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,,,,\\n1089025,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,,,,\\n1092285,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,,,,\\n1093992,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,,,,\\n1092366,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,,,,\\n1091006,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,,,,\\n1089236,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,,,,\\n1635004,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\\n1062631,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\\n1035464,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\\n1013790,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\\n1641489,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\\n1045570,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\\n1640984,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\\n1639460,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\\n1641545,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\\n1642938,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\\n1189677,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,,\\n466343,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,,\\n466314,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,,\\n1195792,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,,\\n887316,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,,\\n1192007,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,,\\n810092,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,,\\n2871326,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,,\\n3115932,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,,\\n1194217,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,,\\n1403202,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,,\\n2871535,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,,\\n1403243,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,,\\n1404551,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,,\\n2731542,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,,\\n298235,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,,\\n1407131,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,,\\n1407116,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,,\\n3645924,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,,\\n1403562,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,,\\n180864,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,,\\n3016386,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,,\\n3880927,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,,\\n2053932,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,,,,\\n2050101,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,,,,\\n2053977,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,,,,\\n2056458,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,,,,\\n2051950,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,,,,\\n3687207,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,,\\n2947662,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,,\\n244668,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,,\\n3255700,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,,\\n2042188,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,,\\n3848172,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,,\\n381504,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,,\\n712473,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,,\\n57570,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,,\\n1175135,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,,\\n2976633,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,,\\n3811232,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,,\\n998530,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,,\\n3807298,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,,\\n806069,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,,\\n3430150,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,,\\n909042,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,,\\n3850058,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,,\\n3310990,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,,\\n3751185,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,,\\n1643633,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,,\\n758020,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,,\\n577771,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,,\\n755254,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,,\\n3321495,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,,\\n455706,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,,\\n1642414,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,,\\n1643951,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,,\\n1645491,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,,\\n1646583,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,,\\n2053149,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,,\\n3780681,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,,\\n3974539,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,,\\n871990,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,,\\n711449,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,,\\n\\n\\nLabel,Page,Addr,NumBytes,RegOffset,RegScale,ReadLen,ReadFlag,WriteFlag,TwosCompl,Default,CalReg,HIDDEN,BURSTMODE\\nSTATUS,0,2,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nX_GYRO_LOW,0,4,4,0,1,32,TRUE,FALSE,TRUE,none,FALSE,FALSE,\\nX_GYRO_OUT,0,6,2,0,1,16,TRUE,FALSE,TRUE,none,FALSE,FALSE,\\nY_GYRO_LOW,0,8,4,0,1,32,TRUE,FALSE,TRUE,none,FALSE,FALSE,\\nY_GYRO_OUT,0,10,2,0,1,16,TRUE,FALSE,TRUE,none,FALSE,FALSE,\\nZ_GYRO_LOW,0,12,4,0,1,32,TRUE,FALSE,TRUE,none,FALSE,FALSE,\\nZ_GYRO_OUT,0,14,2,0,1,16,TRUE,FALSE,TRUE,none,FALSE,FALSE,\\nX_ACCL_LOW,0,16,4,0,1,32,TRUE,FALSE,TRUE,none,FALSE,FALSE,\\nX_ACCL_OUT,0,18,2,0,1,16,TRUE,FALSE,TRUE,none,FALSE,FALSE,\\nY_ACCL_LOW,0,20,4,0,1,32,TRUE,FALSE,TRUE,none,FALSE,FALSE,\\nY_ACCL_OUT,0,22,2,0,1,16,TRUE,FALSE,TRUE,none,FALSE,FALSE,\\nZ_ACCL_LOW,0,24,4,0,1,32,TRUE,FALSE,TRUE,none,FALSE,FALSE,\\nZ_ACCL_OUT,0,26,2,0,1,16,TRUE,FALSE,TRUE,none,FALSE,FALSE,\\nTEMP_OUT,0,28,2,0,1,16,TRUE,FALSE,TRUE,none,FALSE,FALSE,\\nTIME_STAMP,0,30,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nDATA_CNTR,0,34,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nX_DELTANG_LOW,0,36,4,0,1,32,TRUE,FALSE,TRUE,none,FALSE,FALSE,\\nX_DELTANG_OUT,0,38,2,0,1,16,TRUE,FALSE,TRUE,none,FALSE,FALSE,\\nY_DELTANG_LOW,0,40,4,0,1,32,TRUE,FALSE,TRUE,none,FALSE,FALSE,\\nY_DELTANG_OUT,0,42,2,0,1,16,TRUE,FALSE,TRUE,none,FALSE,FALSE,\\nZ_DELTANG_LOW,0,44,4,0,1,32,TRUE,FALSE,TRUE,none,FALSE,FALSE,\\nZ_DELTANG_OUT,0,46,2,0,1,16,TRUE,FALSE,TRUE,none,FALSE,FALSE,\\nX_DELTVEL_LOW,0,48,4,0,1,32,TRUE,FALSE,TRUE,none,FALSE,FALSE,\\nX_DELTVEL_OUT,0,50,2,0,1,16,TRUE,FALSE,TRUE,none,FALSE,FALSE,\\nY_DELTVEL_LOW,0,52,4,0,1,32,TRUE,FALSE,TRUE,none,FALSE,FALSE,\\nY_DELTVEL_OUT,0,54,2,0,1,16,TRUE,FALSE,TRUE,none,FALSE,FALSE,\\nZ_DELTVEL_LOW,0,56,4,0,1,32,TRUE,FALSE,TRUE,none,FALSE,FALSE,\\nZ_DELTVEL_OUT,0,58,2,0,1,16,TRUE,FALSE,TRUE,none,FALSE,FALSE,\\nXG_BIAS_LOW,0,64,2,0,1,32,TRUE,TRUE,TRUE,none,TRUE,FALSE,\\nXG_BIAS_HIGH,0,66,2,0,1,16,TRUE,TRUE,TRUE,none,TRUE,FALSE,\\nYG_BIAS_LOW,0,68,2,0,1,32,TRUE,TRUE,TRUE,none,TRUE,FALSE,\\nYG_BIAS_HIGH,0,70,2,0,1,16,TRUE,TRUE,TRUE,none,TRUE,FALSE,\\nZG_BIAS_LOW,0,72,2,0,1,32,TRUE,TRUE,TRUE,none,TRUE,FALSE,\\nZG_BIAS_HIGH,0,74,2,0,1,16,TRUE,TRUE,TRUE,none,TRUE,FALSE,\\nXA_BIAS_LOW,0,76,2,0,1,32,TRUE,TRUE,TRUE,none,TRUE,FALSE,\\nXA_BIAS_HIGH,0,78,2,0,1,16,TRUE,TRUE,TRUE,none,TRUE,FALSE,\\nYA_BIAS_LOW,0,80,2,0,1,32,TRUE,TRUE,TRUE,none,TRUE,FALSE,\\nYA_BIAS_HIGH,0,82,2,0,1,16,TRUE,TRUE,TRUE,none,TRUE,FALSE,\\nZA_BIAS_LOW,0,84,2,0,1,32,TRUE,TRUE,TRUE,none,TRUE,FALSE,\\nZA_BIAS_HIGH,0,86,2,0,1,16,TRUE,TRUE,TRUE,none,TRUE,FALSE,\\nFILT_CTRL,0,92,2,0,1,16,TRUE,TRUE,FALSE,0,FALSE,FALSE,\\nRANG_MDL,0,94,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nMSC_CTRL,0,96,2,0,1,16,TRUE,TRUE,FALSE,193,FALSE,FALSE,\\nUP_SCALE,0,98,2,0,1,16,TRUE,TRUE,FALSE,0,FALSE,FALSE,\\nDEC_RATE,0,100,2,0,1,16,TRUE,TRUE,FALSE,0,FALSE,FALSE,\\nGLOB_CMD,0,104,2,0,1,16,FALSE,TRUE,FALSE,none,FALSE,FALSE,\\nFIRM_REV,0,108,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nFIRM_DM,0,110,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nFIRM_Y,0,112,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nPROD_ID,0,114,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nSERIAL_NUM,0,116,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nUSER_SCR1,0,118,2,0,1,16,TRUE,TRUE,FALSE,none,FALSE,FALSE,\\nUSER_SCR2,0,120,2,0,1,16,TRUE,TRUE,FALSE,none,FALSE,FALSE,\\nUSER_SCR3,0,122,2,0,1,16,TRUE,TRUE,FALSE,none,FALSE,FALSE,\\nFLSHCNT_LOW,0,124,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nFLSHCNT_HIGH,0,126,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nPAGE_ID,253,0,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_CONFIG,253,2,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_LEN,253,4,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBTN_CONFIG,253,6,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nDIO_INPUT_CONFIG,253,8,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nDIO_OUTPUT_CONFIG,253,10,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nWATERMARK_INT_CONFIG,253,12,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nERROR_INT_CONFIG,253,14,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nIMU_SPI_CONFIG,253,16,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nUSER_SPI_CONFIG,253,18,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nCLI_CONFIG,253,20,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nUSER_COMMAND,253,22,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nSYNC_FREQ,253,24,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nUSER_SCR0,253,52,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nUSER_SCR1,253,54,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nUSER_SCR2,253,56,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nUSER_SCR3,253,58,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nUTC_TIME_LWR,253,60,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nUTC_TIME_UPR,253,62,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nSTATUS,253,64,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nFAULT_CODE,253,66,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_CNT,253,68,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_MAX_CNT,253,70,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nTIMESTAMP_LWR,253,74,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nTIMESTAMP_UPR,253,76,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nTEMP_OUT,253,78,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nVDD_OUT,253,80,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nSCRIPT_LINE,253,100,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nSCRIPT_ERROR,253,102,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nENDURANCE,253,108,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nFW_REV,253,110,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nFW_DAY_MONTH,253,112,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nFW_YEAR,253,114,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nDEV_SN_0,253,116,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nDEV_SN_1,253,118,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nDEV_SN_2,253,120,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nDEV_SN_3,253,122,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nDEV_SN_4,253,124,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nDEV_SN_5,253,126,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nPAGE_ID,254,0,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_0,254,18,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_1,254,20,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_2,254,22,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_3,254,24,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_4,254,26,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_5,254,28,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_6,254,30,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_7,254,32,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_8,254,34,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_9,254,36,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_10,254,38,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_11,254,40,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_12,254,42,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_13,254,44,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_14,254,46,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_15,254,48,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_16,254,50,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_17,254,52,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_18,254,54,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_19,254,56,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_20,254,58,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_21,254,60,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_22,254,62,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_23,254,64,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_24,254,66,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_25,254,68,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_26,254,70,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_27,254,72,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_28,254,74,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_29,254,76,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_30,254,78,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_WRITE_31,254,80,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nFLASH_SIG_DRV,254,124,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nFLASH_SIG,254,126,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nPAGE_ID,255,0,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nSTATUS_1,255,2,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_CNT_1,255,4,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,\\nBUF_RETRIEVE,255,6,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,T\\nBUF_UTC_TIME_LWR,255,8,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,0\\nBUF_UTC_TIME_UPR,255,10,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,1\\nBUF_TIMESTAMP_LWR,255,12,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,2\\nBUF_TIMESTAMP_UPR,255,14,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,3\\nBUF_SIG,255,16,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,4\\nBUF_DATA_0,255,18,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,5\\nBUF_DATA_1,255,20,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,6\\nBUF_DATA_2,255,22,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,7\\nBUF_DATA_3,255,24,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,8\\nBUF_DATA_4,255,26,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,9\\nBUF_DATA_5,255,28,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,10\\nBUF_DATA_6,255,30,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,11\\nBUF_DATA_7,255,32,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,12\\nBUF_DATA_8,255,34,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,13\\nBUF_DATA_9,255,36,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,14\\nBUF_DATA_10,255,38,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,15\\nBUF_DATA_11,255,40,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,16\\nBUF_DATA_12,255,42,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,17\\nBUF_DATA_13,255,44,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,18\\nBUF_DATA_14,255,46,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,19\\nBUF_DATA_15,255,48,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,20\\nBUF_DATA_16,255,50,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,21\\nBUF_DATA_17,255,52,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,22\\nBUF_DATA_18,255,54,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,23\\nBUF_DATA_19,255,56,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,24\\nBUF_DATA_20,255,58,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,25\\nBUF_DATA_21,255,60,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,26\\nBUF_DATA_22,255,62,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,27\\nBUF_DATA_23,255,64,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,28\\nBUF_DATA_24,255,66,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,29\\nBUF_DATA_25,255,68,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,30\\nBUF_DATA_26,255,70,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,31\\nBUF_DATA_27,255,72,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,32\\nBUF_DATA_28,255,74,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,33\\nBUF_DATA_29,255,76,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,34\\nBUF_DATA_30,255,78,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,35\\nBUF_DATA_31,255,80,2,0,1,16,TRUE,FALSE,FALSE,none,FALSE,FALSE,36\\n\\n\\nname;description;year;manufacturer;is_parent;romof;is_clone;cloneof;sasampleof;is_runnable;is_device;is_bios;biosof;is_mechanical;is_arcade;use_chds;savestate;source_file;first_emulator;first_emulator_date;last_emulator;last_emulator_date;players;buttons;coins;sound_channels;screens;display_type;display_rotate;screen_orientation;display_width;display_height;display_refresh;input_controls;monitor_type;chips_cpu;chips_cpu_details;chips_audio;chips_audio_details;driver_status;driver_emulation;driver_color;driver_sound;driver_graphic;driver_cocktail;driver_protection;dump_status;device_types;category;genre;serie;language;colors;has_device_refs;has_roms;has_disks;has_dip_switches;has_bios_sets;has_configs;has_ports;has_devices;has_slots;has_adjusters;has_soft_lists;has_ram_opts;has_cheats;nplayers;url_playonline;url_shortplays;url_shortplay_ms;game_rate;mature;on_top_score;on_bacheca_record;on_arcaworld;ranking;bestgame;alltime;cabinets;\\n1941;1941: Counter Attack (World 900227);1990;Capcom;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;cps1.cpp;Mame 0.33b5;10/06/98;Mame 0.194;31/01/18;0;2;2;1;1;RASTER;270;VERTICAL;384;224;59.637405;joystick (8-way);CRT 15kHz;M68000,Z80;maincpu M68000 @10 MHz, audiocpu Z80 @3.579545 MHz;Speaker,Yamaha YM2151 OPM,OKI MSM6295 ADPCM;mono Speaker, 2151 Yamaha YM2151 OPM @3.579545 MHz, oki OKI MSM6295 ADPCM @1 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Flying Vertical;Shooter;194X;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P sim;-;https://www.youtube.com/watch?v=EgyFNV11SQE;-;100;NO;NO;NO;NO;English;50 to 60 (Not Good Enough);1990;1990;YES\\n1942;1942 (Revision B);1984;Capcom;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;1942.cpp;Mame 0.19;26/04/97;Mame 0.194;31/01/18;0;2;2;1;1;RASTER;270;VERTICAL;256;224;60.000000;joystick (8-way);CRT 15kHz;Z80;maincpu Z80 @4 MHz, audiocpu Z80 @3 MHz;Speaker,AY-3-8910A PSG,Netlist Sound Device;mono Speaker, ay1 AY-3-8910A PSG @1.5 MHz, ay2 AY-3-8910A PSG @1.5 MHz, snd_nl Netlist Sound Device @0.9375 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Flying Vertical;Shooter;194X;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=QuoyjqxuyCA;-;100;NO;NO;YES;NO;English;90 to 100 (Best Games);1984;Cocktail, Upright;NO\\n1943;1943: The Battle of Midway (Euro);1987;Capcom;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;1943.cpp;Mame 0.29;20/10/97;Mame 0.194;31/01/18;0;2;2;1;1;RASTER;270;VERTICAL;256;224;60.000000;joystick (8-way);CRT 15kHz;Z80;maincpu Z80 @6 MHz, audiocpu Z80 @3 MHz;Speaker,YM2203 OPN;mono Speaker, ym1 YM2203 OPN @1.5 MHz, ym2 YM2203 OPN @1.5 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;NODUMP;-;Shooter / Flying Vertical;Shooter;194X;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P sim;-;https://www.youtube.com/watch?v=DX8wBb75jgM;-;100;NO;NO;NO;NO;English;50 to 60 (Not Good Enough);1987;Cocktail, Upright;NO\\n1943kai;1943 Kai: Midway Kaisen (Japan);1987;Capcom;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;1943.cpp;Mame 0.30;08/01/98;Mame 0.194;31/01/18;0;2;2;1;1;RASTER;270;VERTICAL;256;224;60.000000;joystick (8-way);CRT 15kHz;Z80;maincpu Z80 @6 MHz, audiocpu Z80 @3 MHz;Speaker,YM2203 OPN;mono Speaker, ym1 YM2203 OPN @1.5 MHz, ym2 YM2203 OPN @1.5 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;NODUMP;-;Shooter / Flying Vertical;Shooter;194X;Japanese;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P sim;-;https://www.youtube.com/watch?v=HgLcs5fVjgI;-;0;NO;NO;NO;YES;Japanese;70 to 80 (Good);-;Cocktail, Upright;NO\\n19xx;19XX: The War Against Destiny (USA 951207);1996;Capcom;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;cps2.cpp;Mame 0.37b13 (0.49);10/03/01;Mame 0.194;31/01/18;0;2;2;2;1;RASTER;270;VERTICAL;384;224;59.637405;joystick (8-way);CRT 15kHz;M68000,Z80,DSP16;maincpu M68000 @16 MHz, audiocpu Z80 @8 MHz, qsound:qsound DSP16 @4 MHz;Speaker,Q-Sound;lspeaker Speaker, rspeaker Speaker, qsound Q-Sound @4 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Flying Vertical;Shooter;194X;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P sim;-;https://www.youtube.com/watch?v=XZ-zoCbLUoA;-;100;NO;NO;YES;NO;English;80 to 90 (Very Good);1996;1996;NO\\nastdelux;Asteroids Deluxe (rev 3);1980;Atari;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;asteroid.cpp;Mame 0.26;14/07/97;Mame 0.194;31/01/18;0;5;3;1;1;VECTOR;0;-;0;0;61.523438;only_buttons;-;M6502,Atari C012294 POKEY;maincpu M6502 @1.512 MHz, pokey Atari C012294 POKEY @1.512 MHz;Speaker,Discrete Sound,Atari C012294 POKEY;mono Speaker, discrete Discrete Sound, pokey Atari C012294 POKEY @1.512 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Field;Shooter;Asteroids;English;Black & White Vectorial;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=8Ycg94kO7XM;-;0;NO;NO;NO;NO;Black & White Vectorial;80 to 90 (Very Good);1980;1980;NO\\nasteroid;Asteroids (rev 4);1979;Atari;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;asteroid.cpp;Mame 0.26;14/07/97;Mame 0.194;31/01/18;0;5;3;1;1;VECTOR;0;-;0;0;61.523438;only_buttons;-;M6502;maincpu M6502 @1.512 MHz;Speaker,Discrete Sound;mono Speaker, discrete Discrete Sound;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Field;Shooter;Asteroids;English;Black & White Vectorial;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=MsWWn7M4GXc;-;100;NO;NO;NO;NO;Black & White Vectorial;70 to 80 (Good);197x;197x;NO\\nbombjack;Bomb Jack (set 1);1984;Tehkan;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;bombjack.cpp;Mame 0.9;09/03/97;Mame 0.194;31/01/18;0;1;2;1;1;RASTER;90;VERTICAL;256;224;60.000000;joystick (8-way);CRT 15kHz;Z80;maincpu Z80 @4 MHz, audiocpu Z80 @3 MHz;Speaker,AY-3-8910A PSG;mono Speaker, ay1 AY-3-8910A PSG @1.5 MHz, ay2 AY-3-8910A PSG @1.5 MHz, ay3 AY-3-8910A PSG @1.5 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Platform / Run Jump;Platform;BombJack;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=XNrLhKGl2IQ;-;100;NO;NO;YES;NO;English;80 to 90 (Very Good);1984;Cocktail, Upright;NO\\nbtime;Burger Time (Data East set 1);1982;Data East Corporation;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;btime.cpp;Mame 0.11;16/03/97;Mame 0.194;31/01/18;0;1;2;1;1;RASTER;270;VERTICAL;240;240;57.444853;joystick (4-way);CRT 15kHz;DECO CPU-7,M6502;maincpu DECO CPU-7 @1.5 MHz, audiocpu M6502 @0.5 MHz;Speaker,AY-3-8910A PSG,Discrete Sound;mono Speaker, ay1 AY-3-8910A PSG @1.5 MHz, ay2 AY-3-8910A PSG @1.5 MHz, discrete Discrete Sound;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Platform / Run Jump;Platform;Burger Time;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=uhQGUyCAqWE;-;100;NO;NO;YES;NO;English;90 to 100 (Best Games);1982;1982;NO\\ncircusc;Circus Charlie (level select, set 1);1984;Konami;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;circusc.cpp;Mame 0.30;08/01/98;Mame 0.195;28/02/18;0;1;2;1;1;RASTER;90;VERTICAL;256;224;60.000000;joystick (2-way);CRT 15kHz;KONAMI-1,Z80;maincpu KONAMI-1 @2.48 MHz, audiocpu Z80 @3.579545 MHz;Speaker,SN76496,8-Bit R-2R DAC,Discrete Sound;mono Speaker, sn1 SN76496 @1.789772 MHz, sn2 SN76496 @1.789772 MHz, dac 8-Bit R-2R DAC, fltdisc Discrete Sound;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Platform / Run, Jump & Scrolling;Platform;-;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=ePiSdgm9ads;-;80;NO;NO;YES;NO;80 to 90 (Very Good);1984;Cocktail, Upright;NO;\\nckong;Crazy Kong;1981;Kyoei / Falcon;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;cclimber.cpp;Mame 0.2;09/02/97;Mame 0.195;28/02/18;0;1;2;1;1;RASTER;270;VERTICAL;256;224;60.000000;joystick (4-way);CRT 15kHz;Z80;maincpu Z80 @3.72 MHz;Speaker,AY-3-8910A PSG,Samples;speaker Speaker, cclimber_audio:aysnd AY-3-8910A PSG @1.536 MHz, cclimber_audio:samples Samples;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Platform / Run Jump;Platform;Crazy Kong;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;https://archive.org/details/arcade_ckong;https://www.youtube.com/watch?v=Y5o0EHtb1Hk;-;0;NO;NO;NO;NO;90 to 100 (Best Games);-;Cocktail, Upright;NO;\\ncommando;Commando (World);1985;Capcom;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;commando.cpp;Mame 0.22;25/05/97;Mame 0.194;31/01/18;0;2;2;1;1;RASTER;270;VERTICAL;256;224;60.000000;joystick (8-way);CRT 15kHz;Z80;maincpu Z80 @4 MHz, audiocpu Z80 @3 MHz;Speaker,YM2203 OPN;mono Speaker, ym1 YM2203 OPN @1.5 MHz, ym2 YM2203 OPN @1.5 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Walking;Shooter;Commando;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=JoH01ohNySw;-;0;NO;NO;NO;NO;English;70 to 80 (Good);1985;Cocktail, Upright, Upright Two Players;NO\\ncongo;Congo Bongo (Rev C, 2 board stack);1983;Sega;YES;-;NO;-;congo;YES;NO;NO;-;NO;YES;NO;YES;zaxxon.cpp;Mame 0.10;13/03/97;Mame 0.194;31/01/18;0;1;2;1;1;RASTER;90;VERTICAL;256;224;59.999408;joystick (8-way);CRT 15kHz;Z80;maincpu Z80 @3.4125 MHz, audiocpu Z80 @4 MHz;Speaker,SN76489A,Samples;speaker Speaker, sn1 SN76489A @4 MHz, sn2 SN76489A @1 MHz, samples Samples;IMPERFECT;GOOD;GOOD;IMPERFECT;GOOD;UNKNOWN;GOOD;GOOD;-;Platform / Run Jump;Platform;-;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;https://archive.org/details/arcade_congo;https://www.youtube.com/watch?v=Lg_6ZXEV_0I;-;0;NO;NO;NO;NO;English;70 to 80 (Good);1983;Cocktail, Upright;NO\\ncontra;Contra (US / Asia, set 1);1987;Konami;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;contra.cpp;Mame 0.33b7;21/06/98;Mame 0.194;31/01/18;0;2;2;2;1;RASTER;90;VERTICAL;280;224;60.000000;joystick (8-way);CRT 15kHz;HD6309E,MC6809E;maincpu HD6309E @3 MHz, audiocpu MC6809E @3 MHz;Speaker,Yamaha YM2151 OPM;lspeaker Speaker, rspeaker Speaker, ymsnd Yamaha YM2151 OPM @3.579545 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;NODUMP;-;Platform / Shooter Scrolling;Platform;Contra;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P sim;-;https://www.youtube.com/watch?v=e4nXQRcB9lM;-;0;NO;NO;YES;NO;English;70 to 80 (Good);1987;1987;NO\\ncrush;Crush Roller (set 1);1981;Alpha Denshi Co. / Kural Samno Electric, Ltd.;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;pacman.cpp;Mame 0.1;05/02/97;Mame 0.195;28/02/18;0;0;2;1;1;RASTER;90;VERTICAL;288;224;60.606061;joystick (4-way);CRT 15kHz;Z80;maincpu Z80 @3.72 MHz;Speaker,Namco;mono Speaker, namco Namco @0.96 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Maze / Paint;Maze;-;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;https://archive.org/details/arcade_crush;https://www.youtube.com/watch?v=dQXh69_sIXs;-;0;NO;NO;NO;NO;90 to 100 (Best Games);-;Cocktail, Upright;NO;\\ncyvern;Cyvern - The Dragon Weapons (US);1998;Kaneko;YES;skns;NO;-;-;YES;NO;NO;skns;NO;YES;NO;NO;suprnova.cpp;Mame 0.62;12/11/02;Mame 0.195;28/02/18;0;2;2;2;1;RASTER;90;VERTICAL;320;240;59.597100;joystick (8-way);CRT 15kHz;SH-2;maincpu SH-2 @28.638 MHz;Speaker,Yamaha YMZ280B PCMD8;lspeaker Speaker, rspeaker Speaker, ymz Yamaha YMZ280B PCMD8 @16.666666 MHz;IMPERFECT;GOOD;GOOD;GOOD;IMPERFECT;UNKNOWN;GOOD;GOOD;-;Shooter / Flying Vertical;Shooter;-;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P sim;-;https://www.youtube.com/watch?v=2_qhm4xWf8c;-;0;NO;NO;NO;YES;80 to 90 (Very Good);1998;1998;NO;\\ndigdug;Dig Dug (rev 2);1982;Namco;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;galaga.cpp;Mame 0.26;14/07/97;Mame 0.194;31/01/18;0;1;2;1;1;RASTER;90;VERTICAL;288;224;60.606061;joystick (4-way);CRT 15kHz;Z80,MB8843;maincpu Z80 @3.72 MHz, sub Z80 @3.72 MHz, sub2 Z80 @3.72 MHz, 51xx:mcu MB8843 @1.536 MHz, 53xx:mcu MB8843 @1.536 MHz;Speaker,Namco;mono Speaker, namco Namco @0.96 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Maze / Digging;Maze;Dig Dug;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=zKdkCijjYTc;-;80;NO;NO;NO;NO;English;90 to 100 (Best Games);1982;Cocktail, Upright;NO\\ndigdug2;Dig Dug II (New Ver.);1985;Namco;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;mappy.cpp;Mame 0.27;10/08/97;Mame 0.194;31/01/18;0;2;2;1;1;RASTER;90;VERTICAL;288;224;60.606061;joystick (4-way);CRT 15kHz;MC6809E;maincpu MC6809E @1.536 MHz, sub MC6809E @1.536 MHz;Speaker,Namco 15xx;speaker Speaker, namco Namco 15xx @0.24 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Maze / Collect;Maze;Dig Dug;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=fUcx7jg06W8;-;0;NO;NO;NO;NO;English;80 to 90 (Very Good);-;Cocktail, Upright;NO\\ndkong;Donkey Kong (US set 1);1981;Nintendo of America;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;dkong.cpp;Mame 0.3;13/02/97;Mame 0.194;31/01/18;0;1;1;1;1;RASTER;90;VERTICAL;256;224;60.606061;joystick (4-way);CRT 15kHz;Z80,Intel 8257 DMA Controller,MB8884;maincpu Z80 @3.72 MHz, dma8257 Intel 8257 DMA Controller @3.72 MHz, soundcpu MB8884 @6 MHz;Speaker,Discrete Sound;mono Speaker, discrete Discrete Sound;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Platform / Run Jump;Platform;Donkey Kong;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=qUb97eM45UA;-;80;NO;NO;YES;NO;English;90 to 100 (Best Games);1981;Cocktail, Upright;NO\\ndkong3;Donkey Kong 3 (US);1983;Nintendo of America;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;dkong.cpp;Mame 0.11;16/03/97;Mame 0.194;31/01/18;0;1;3;1;1;RASTER;90;VERTICAL;256;224;60.606061;joystick (4-way);CRT 15kHz;Z80,N2A03;maincpu Z80 @4 MHz, n2a03a N2A03 @1.789772 MHz, n2a03b N2A03 @1.789772 MHz;N2A03 APU,Speaker;n2a03a:nesapu N2A03 APU @1.789772 MHz, n2a03b:nesapu N2A03 APU @1.789772 MHz, mono Speaker;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Platform / Run Jump;Platform;Donkey Kong;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=151dtX9ClOM;-;0;NO;NO;NO;NO;English;70 to 80 (Good);1983;Cocktail, Upright;NO\\ndkongjr;Donkey Kong Junior (US set F-2);1982;Nintendo of America;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;dkong.cpp;Mame 0.5;20/02/97;Mame 0.194;31/01/18;0;1;1;1;1;RASTER;90;VERTICAL;256;224;60.606061;joystick (4-way);CRT 15kHz;Z80,Intel 8257 DMA Controller,MB8884;maincpu Z80 @3.72 MHz, dma8257 Intel 8257 DMA Controller @3.72 MHz, soundcpu MB8884 @6 MHz;Speaker,Discrete Sound;mono Speaker, discrete Discrete Sound;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Platform / Run Jump;Platform;Donkey Kong;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=v9yfoHrUzzc;-;0;NO;NO;NO;NO;English;90 to 100 (Best Games);1982;Cocktail, Upright;NO\\ndocastle;Mr. Do's Castle (set 1);1983;Universal;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;docastle.cpp;Mame 0.12;23/03/97;Mame 0.194;31/01/18;0;2;2;1;1;RASTER;270;VERTICAL;240;192;59.659091;joystick (4-way);CRT 15kHz;Z80;maincpu Z80 @4 MHz, slave Z80 @4 MHz, cpu3 Z80 @4 MHz;Speaker,SN76489A;mono Speaker, sn1 SN76489A @4 MHz, sn2 SN76489A @4 MHz, sn3 SN76489A @4 MHz, sn4 SN76489A @4 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;PRELIMINARY;GOOD;GOOD;-;Platform / Run Jump;Platform;Mr. Do!;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;https://archive.org/details/arcade_docastle;https://www.youtube.com/watch?v=fuLy-0ACRls;-;0;NO;NO;NO;NO;English;90 to 100 (Best Games);-;Cocktail, Upright;NO\\ndrtoppel;Dr. Toppel's Adventure (World);1987;Kaneko / Taito Corporation Japan;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;tnzs.cpp;Mame 0.36rc1;26/02/00;Mame 0.195;28/02/18;0;2;2;1;1;RASTER;90;VERTICAL;256;224;60.000000;joystick (8-way);CRT 15kHz;Z80,I8742;maincpu Z80 @6 MHz, sub Z80 @6 MHz, mcu I8742 @6 MHz;Speaker,YM2203 OPN;speaker Speaker, ymsnd YM2203 OPN @3 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;NODUMP;-;Shooter / Flying Vertical;Shooter;-;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=f4T4Y1RCqmw;-;0;NO;NO;NO;NO;90 to 100 (Best Games);1987;Cocktail, Upright;NO;\\nfrogger;Frogger;1981;Konami;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;galaxian.cpp;Mame 0.6;23/02/97;Mame 0.194;31/01/18;0;0;2;1;1;RASTER;90;VERTICAL;768;224;60.606061;joystick (4-way);CRT 15kHz;Z80;maincpu Z80 @3.72 MHz, audiocpu Z80 @1.789772 MHz;Speaker,AY-3-8910A PSG,Discrete Sound;speaker Speaker, 8910.0 AY-3-8910A PSG @1.789772 MHz, konami Discrete Sound;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Maze / Cross;Maze;Frogger;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=5a53Jm3wmTU;-;100;NO;NO;YES;NO;English;90 to 100 (Best Games);1981;Cocktail, Upright;NO\\ngalaga;Galaga (Namco rev. B);1981;Namco;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;galaga.cpp;Mame 0.21;12/05/97;Mame 0.194;31/01/18;0;1;2;1;1;RASTER;90;VERTICAL;288;224;60.606061;joystick (2-way);CRT 15kHz;Z80,MB8843,MB8844;maincpu Z80 @3.72 MHz, sub Z80 @3.72 MHz, sub2 Z80 @3.72 MHz, 51xx:mcu MB8843 @1.536 MHz, 54xx:mcu MB8844 @1.536 MHz;Speaker,Namco,Discrete Sound;mono Speaker, namco Namco @0.96 MHz, discrete Discrete Sound;IMPERFECT;GOOD;GOOD;GOOD;IMPERFECT;UNKNOWN;GOOD;GOOD;-;Shooter / Gallery;Shooter;Galaxian;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=R5C4LRO2_p8;-;100;NO;NO;NO;NO;English;90 to 100 (Best Games);1981;Cocktail, Upright;NO\\ngalaga88;Galaga '88;1987;Namco;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;namcos1.cpp;Mame 0.36b4;04/09/99;Mame 0.195;28/02/18;0;3;2;2;1;RASTER;270;VERTICAL;288;224;60.606061;joystick (8-way);CRT 15kHz;MC6809E,HD63701;maincpu MC6809E @1.536 MHz, subcpu MC6809E @1.536 MHz, audiocpu MC6809E @1.536 MHz, mcu HD63701 @6.144 MHz;Speaker,Yamaha YM2151 OPM,Namco CUS30,8-Bit R-2R DAC;lspeaker Speaker, rspeaker Speaker, ymsnd Yamaha YM2151 OPM @3.57958 MHz, namco Namco CUS30 @0.12 MHz, dac0 8-Bit R-2R DAC, dac1 8-Bit R-2R DAC;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Gallery;Shooter;Galaxian;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=hgrm8ptZ6ZU;-;0;NO;NO;NO;NO;90 to 100 (Best Games);1987;1987;NO;\\ngalaxian;Galaxian (Namco set 1);1979;Namco;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;galaxian.cpp;Mame 0.5;20/02/97;Mame 0.194;31/01/18;0;1;2;1;1;RASTER;90;VERTICAL;768;224;60.606061;joystick (2-way);CRT 15kHz;Z80;maincpu Z80 @3.72 MHz;Speaker,Galaxian Custom Sound,Discrete Sound;speaker Speaker, cust Galaxian Custom Sound, discrete Discrete Sound;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Gallery;Shooter;Galaxian;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=oT4V-50o8xM;-;0;NO;NO;NO;NO;English;90 to 100 (Best Games);197x;Cocktail, Upright;NO\\ngaplus;Gaplus (GP2 rev. B);1984;Namco;YES;-;NO;-;gaplus;YES;NO;NO;-;NO;YES;NO;YES;gaplus.cpp;Mame 0.35b9;30/03/99;Mame 0.195;28/02/18;0;1;2;1;1;RASTER;90;VERTICAL;288;224;60.606060;joystick (8-way);CRT 15kHz;MC6809E,MB8843;maincpu MC6809E @1.536 MHz, sub MC6809E @1.536 MHz, sub2 MC6809E @1.536 MHz, 62xx:mcu MB8843 @2.48 MHz;Speaker,Namco 15xx,Samples;mono Speaker, namco Namco 15xx @0.24 MHz, samples Samples;IMPERFECT;GOOD;GOOD;IMPERFECT;IMPERFECT;UNKNOWN;GOOD;GOOD;-;Shooter / Gallery;Shooter;Galaxian;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=uDBZz3O2HwU;-;0;NO;NO;NO;NO;90 to 100 (Best Games);1984;Cocktail, Upright;NO;\\ngorf;Gorf;1981;Dave Nutting Associates / Midway;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;astrocde.cpp;Mame 0.7;27/02/97;Mame 0.194;31/01/18;0;1;2;2;1;RASTER;270;VERTICAL;352;240;60.054442;joystick (8-way);CRT 15kHz;Z80;maincpu Z80 @1.789772 MHz;Speaker,Astrocade,Votrax SC-01;upper Speaker, lower Speaker, astrocade1 Astrocade @1.789772 MHz, astrocade2 Astrocade @1.789772 MHz, votrax Votrax SC-01 @0.72 MHz;IMPERFECT;GOOD;GOOD;IMPERFECT;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Gallery;Shooter;-;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;https://archive.org/details/arcade_gorf;https://www.youtube.com/watch?v=bUO2tjdGK6w;-;0;NO;NO;NO;NO;English;90 to 100 (Best Games);1981;Cocktail, Upright;YES\\ngyruss;Gyruss;1983;Konami;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;gyruss.cpp;Mame 0.20;05/05/97;Mame 0.194;31/01/18;0;1;2;2;1;RASTER;90;VERTICAL;256;224;60.606061;joystick (2-way);CRT 15kHz;Z80,KONAMI-1,I8039;maincpu Z80 @3.72 MHz, sub KONAMI-1 @1.536 MHz, audiocpu Z80 @3.579545 MHz, audio2 I8039 @8 MHz;Speaker,AY-3-8910A PSG,Discrete Sound;lspeaker Speaker, rspeaker Speaker, ay1 AY-3-8910A PSG @1.789772 MHz, ay2 AY-3-8910A PSG @1.789772 MHz, ay3 AY-3-8910A PSG @1.789772 MHz, ay4 AY-3-8910A PSG @1.789772 MHz, ay5 AY-3-8910A PSG @1.789772 MHz, discrete Discrete Sound;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Flying (chase view);Shooter;-;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=61vXY6UK0ko;-;0;NO;NO;YES;NO;English;90 to 100 (Best Games);1983;Cocktail, Upright;NO\\ninvaders;Space Invaders / Space Invaders M;1978;Taito / Midway;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;mw8080bw.cpp;Mame 0.8;04/03/97;Mame 0.194;31/01/18;0;1;1;1;1;RASTER;270;VERTICAL;260;224;59.541985;joystick (2-way);CRT 15kHz;8080;maincpu 8080 @1.9968 MHz;Speaker,TI SN76477 CSG,Discrete Sound;mono Speaker, snsnd TI SN76477 CSG, discrete Discrete Sound;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Gallery;Shooter;Space Invaders;English;Black & White;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=_77fSEMNMew;-;0;NO;NO;YES;NO;Black & White;90 to 100 (Best Games);197x;197x;NO\\ninvadpt2;Space Invaders Part II (Taito);1979;Taito;YES;-;NO;-;invaders;YES;NO;NO;-;NO;YES;NO;YES;8080bw.cpp;Mame 0.30;08/01/98;Mame 0.194;31/01/18;0;1;1;1;1;RASTER;270;VERTICAL;260;224;59.541985;joystick (2-way);CRT 15kHz;8080;maincpu 8080 @1.9968 MHz;Speaker,TI SN76477 CSG,Samples;mono Speaker, snsnd TI SN76477 CSG, samples Samples;IMPERFECT;GOOD;GOOD;IMPERFECT;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Gallery;Shooter;Space Invaders;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=nU0ycgn-xTs;-;0;NO;NO;NO;NO;English;90 to 100 (Best Games);-;90 to 100 (Best Games);NO\\njjack;Jumping Jack;1984;Universal;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;docastle.cpp;Mame 0.30;08/01/98;Mame 0.195;28/02/18;0;2;2;1;1;RASTER;270;VERTICAL;240;192;59.659091;joystick (4-way);CRT 15kHz;Z80;maincpu Z80 @4 MHz, slave Z80 @4 MHz, cpu3 Z80 @4 MHz;Speaker,SN76489A;mono Speaker, sn1 SN76489A @4 MHz, sn2 SN76489A @4 MHz, sn3 SN76489A @4 MHz, sn4 SN76489A @4 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Platform / Run Jump;Platform;-;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;https://archive.org/details/arcade_jjack;https://www.youtube.com/watch?v=zEPQsuux5us;-;0;NO;NO;YES;NO;80 to 90 (Very Good);1984;Cocktail, Upright;NO;\\njoust2;Joust 2 - Survival of the Fittest (revision 2);1986;Williams;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;williams.cpp;Mame 0.35b6;15/03/99;Mame 0.194;31/01/18;0;2;3;1;1;RASTER;270;VERTICAL;276;240;60.096154;joystick (2-way);CRT 15kHz;MC6809E,M6808;maincpu MC6809E @1 MHz, soundcpu M6808 @4 MHz, cvsd:cpu MC6809E @2 MHz;Speaker,MC1408,Williams CVSD Sound Board,Yamaha YM2151 OPM,HC-55516;speaker Speaker, dac MC1408, cvsd Williams CVSD Sound Board, cvsd:ym2151 Yamaha YM2151 OPM @3.579545 MHz, cvsd:dac MC1408, cvsd:cvsd HC-55516;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Platform / Run Jump;Platform;Joust;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P sim;-;https://www.youtube.com/watch?v=ZVSlMUrn2zk;-;0;NO;NO;NO;NO;English;70 to 80 (Good);-;70 to 80 (Good);NO\\njrpacman;Jr. Pac-Man (11/9/83);1983;Bally Midway;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;jrpacman.cpp;Mame 0.24;13/06/97;Mame 0.194;31/01/18;0;0;3;1;1;RASTER;90;VERTICAL;288;224;60.606060;joystick (4-way);CRT 15kHz;Z80;maincpu Z80 @3.72 MHz;Speaker,Namco;mono Speaker, namco Namco @0.96 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Maze / Collect;Maze;Pac-Man;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=1VEWuM8VgEg;-;0;NO;NO;NO;NO;English;90 to 100 (Best Games);1983;Cocktail, Upright;NO\\njunofrst;Juno First;1983;Konami;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;junofrst.cpp;Mame 0.33b3;17/05/98;Mame 0.195;28/02/18;0;3;2;1;1;RASTER;90;VERTICAL;256;224;60.000000;joystick (8-way);CRT 15kHz;KONAMI-1,Z80,I8039;maincpu KONAMI-1 @1.5 MHz, audiocpu Z80 @1.78975 MHz, mcu I8039 @8 MHz;Speaker,AY-3-8910A PSG,8-Bit R-2R DAC,RC Filter;speaker Speaker, aysnd AY-3-8910A PSG @1.78975 MHz, dac 8-Bit R-2R DAC, filter.0.0 RC Filter, filter.0.1 RC Filter, filter.0.2 RC Filter;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Gallery;Shooter;-;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=KfsD8ZYOfxo;-;0;NO;NO;NO;NO;80 to 90 (Very Good);1983;Cocktail, Upright;NO;\\nkicker;Kicker;1985;Konami;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;shaolins.cpp;Mame 0.33b7;21/06/98;Mame 0.195;28/02/18;0;2;2;1;1;RASTER;90;VERTICAL;256;224;60.000000;joystick (4-way);CRT 15kHz;MC6809E;maincpu MC6809E @1.536 MHz;Speaker,SN76489A;mono Speaker, sn1 SN76489A @1.536 MHz, sn2 SN76489A @3.72 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Platform / Fighter;Platform;-;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=OXr1PL4XnSQ;-;0;NO;NO;YES;NO;80 to 90 (Very Good);1985;Cocktail, Upright;NO;\\nladybug;Lady Bug;1981;Universal;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;ladybug.cpp;Mame 0.1;05/02/97;Mame 0.194;31/01/18;0;2;2;1;1;RASTER;270;VERTICAL;240;192;60.000000;joystick (4-way);CRT 15kHz;Z80;maincpu Z80 @4 MHz;Speaker,SN76489;mono Speaker, sn1 SN76489 @4 MHz, sn2 SN76489 @4 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Maze / Collect;Maze;-;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;https://archive.org/details/arcade_ladybug;https://www.youtube.com/watch?v=EGQ0wKIofEU;-;0;NO;NO;YES;NO;English;70 to 80 (Good);1981;Cocktail, Upright;YES\\nmappy;Mappy (US);1983;Namco;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;mappy.cpp;Mame 0.26;14/07/97;Mame 0.194;31/01/18;0;1;2;1;1;RASTER;90;VERTICAL;288;224;60.606061;joystick (2-way);CRT 15kHz;MC6809E;maincpu MC6809E @1.536 MHz, sub MC6809E @1.536 MHz;Speaker,Namco 15xx;speaker Speaker, namco Namco 15xx @0.24 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Platform / Run Jump;Platform;Mappy;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=AXAc2j_doJA;-;70;NO;NO;YES;NO;English;90 to 100 (Best Games);1983;Cocktail, Upright;NO\\nmercs;Mercs (World 900302);1990;Capcom;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;cps1.cpp;Mame 0.34b1;16/08/98;Mame 0.194;31/01/18;0;2;3;1;1;RASTER;270;VERTICAL;384;224;59.637405;joystick (8-way);CRT 15kHz;M68000,Z80;maincpu M68000 @10 MHz, audiocpu Z80 @3.579545 MHz;Speaker,Yamaha YM2151 OPM,OKI MSM6295 ADPCM;mono Speaker, 2151 Yamaha YM2151 OPM @3.579545 MHz, oki OKI MSM6295 ADPCM @1 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;NODUMP;-;Shooter / Walking;Shooter;Commando;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;3P sim;-;https://www.youtube.com/watch?v=ySecRVPsZNI;-;0;NO;NO;YES;NO;English;90 to 100 (Best Games);1990;1990;NO\\nmrdo;Mr. Do!;1982;Universal;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;mrdo.cpp;Mame 0.2;09/02/97;Mame 0.194;31/01/18;0;1;2;1;1;RASTER;270;VERTICAL;240;192;59.943237;joystick (4-way);CRT 15kHz;Z80;maincpu Z80 @4.1 MHz;Speaker,U8106;mono Speaker, u8106_1 U8106 @4.1 MHz, u8106_2 U8106 @4.1 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Maze / Digging;Maze;Mr. Do!;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;https://archive.org/details/arcade_mrdo;https://www.youtube.com/watch?v=2PwQSrM4TU8;-;0;NO;NO;NO;NO;English;90 to 100 (Best Games);1982;Cocktail, Upright;NO\\nmspacman;Ms. Pac-Man;1981;Midway / General Computer Corporation;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;pacman.cpp;Mame 0.1;05/02/97;Mame 0.194;31/01/18;0;1;2;1;1;RASTER;90;VERTICAL;288;224;60.606061;joystick (4-way);CRT 15kHz;Z80;maincpu Z80 @3.72 MHz;Speaker,Namco;mono Speaker, namco Namco @0.96 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Maze / Collect;Maze;Pac-Man;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=KPZrAq0kKDs;-;80;NO;NO;NO;NO;English;90 to 100 (Best Games);1981;Cocktail, Upright;NO\\nnibbler;Nibbler (rev 9);1982;Rock-Ola;YES;-;NO;-;vanguard;YES;NO;NO;-;NO;YES;NO;YES;snk6502.cpp;Mame 0.10;13/03/97;Mame 0.195;28/02/18;0;0;2;1;1;RASTER;90;VERTICAL;256;224;61.246745;joystick (4-way);CRT 15kHz;M6502;maincpu M6502 @0.705562 MHz;Speaker,SNK6502 Custom Sound,TI SN76477 CSG,Discrete Sound;mono Speaker, snk6502 SNK6502 Custom Sound, sn76477.1 TI SN76477 CSG, discrete Discrete Sound;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Maze / Collect;Maze;-;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;https://archive.org/details/arcade_nibbler;https://www.youtube.com/watch?v=kFYD8TZXSN0;-;0;NO;NO;YES;NO;90 to 100 (Best Games);1982;Cocktail, Upright;YES;\\npacman;Pac-Man (Midway);1980;Namco (Midway license);NO;puckman;YES;puckman;-;YES;NO;NO;-;NO;YES;NO;YES;pacman.cpp;Mame 0.1;05/02/97;Mame 0.194;31/01/18;0;1;2;1;1;RASTER;90;VERTICAL;288;224;60.606061;joystick (4-way);CRT 15kHz;Z80;maincpu Z80 @3.72 MHz;Speaker,Namco;mono Speaker, namco Namco @0.96 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Maze / Collect;Maze;Pac-Man;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=QtwY7CEDkOI;-;0;NO;NO;NO;NO;English;-;1980;Cocktail, Upright;NO\\npandoras;Pandora's Palace;1984;Konami / Interlogic;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;pandoras.cpp;Mame 0.36b6;29/09/99;Mame 0.195;28/02/18;0;1;2;1;1;RASTER;90;VERTICAL;256;224;60.000000;joystick (8-way);CRT 15kHz;MC6809E,Z80,I8039;maincpu MC6809E @3.72 MHz, sub MC6809E @3.72 MHz, audiocpu Z80 @1.789772 MHz, mcu I8039 @7.15909 MHz;Speaker,AY-3-8910A PSG,8-Bit R-2R DAC;speaker Speaker, aysnd AY-3-8910A PSG @1.789772 MHz, dac 8-Bit R-2R DAC;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Platform / Run Jump;Platform;-;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=nJM-Gkkp4FU;-;0;NO;NO;NO;NO;90 to 100 (Best Games);1984;Cocktail, Upright;NO;\\npengo;Pengo (set 1 rev c);1982;Sega;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;pengo.cpp;Mame 0.1;05/02/97;Mame 0.194;31/01/18;0;1;3;1;1;RASTER;90;VERTICAL;288;224;60.606061;joystick (4-way);CRT 15kHz;Sega 315-5010;maincpu Sega 315-5010 @3.72 MHz;Speaker,Namco;mono Speaker, namco Namco @0.96 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Maze / Move and Sort;Maze;-;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;https://archive.org/details/arcade_pengo;https://www.youtube.com/watch?v=mYG3u-awJKc;-;0;NO;NO;YES;NO;English;90 to 100 (Best Games);1982;Cocktail, Upright;NO\\nperfrman;Performan (Japan);1985;Toaplan / Data East Corporation;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;slapfght.cpp;Mame 0.37b10 (0.46);05/12/00;Mame 0.195;28/02/18;0;2;2;1;1;RASTER;270;VERTICAL;256;240;60.000000;joystick (8-way);CRT 15kHz;Z80;maincpu Z80 @4 MHz, audiocpu Z80 @2 MHz;Speaker,AY-3-8910A PSG;mono Speaker, ay1 AY-3-8910A PSG @2 MHz, ay2 AY-3-8910A PSG @2 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Maze / Shooter Small;Maze;-;Japanese;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=62-ztvnTaNU;-;0;NO;NO;NO;NO;90 to 100 (Best Games);-;Cocktail, Upright;NO;\\nphoenix;Phoenix (Amstar, set 1);1980;Amstar;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;phoenix.cpp;Mame 0.7;27/02/97;Mame 0.194;31/01/18;0;2;1;1;1;RASTER;90;VERTICAL;256;208;61.035156;joystick (2-way);CRT 15kHz;8085A;maincpu 8085A @5.5 MHz;Speaker,TMS36XX,Phoenix Custom Sound,Discrete Sound;mono Speaker, tms TMS36XX @0.372 MHz, cust Phoenix Custom Sound, discrete Discrete Sound @0.12 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Gallery;Shooter;Phoenix;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;https://archive.org/details/arcade_phoenix;https://www.youtube.com/watch?v=XCAWoarN4yM;-;0;NO;NO;YES;NO;English;90 to 100 (Best Games);1980;Cocktail, Upright;NO\\npooyan;Pooyan;1982;Konami;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;pooyan.cpp;Mame 0.7;27/02/97;Mame 0.195;28/02/18;0;1;2;1;1;RASTER;90;VERTICAL;256;224;60.000000;joystick (2-way);CRT 15kHz;Z80;maincpu Z80 @3.72 MHz, timeplt_audio:tpsound Z80 @1.789772 MHz;Time Pilot Audio,Speaker,AY-3-8910A PSG,RC Filter;timeplt_audio Time Pilot Audio, timeplt_audio:mono Speaker, timeplt_audio:ay1 AY-3-8910A PSG @1.789772 MHz, timeplt_audio:ay2 AY-3-8910A PSG @1.789772 MHz, timeplt_audio:filter.0.0 RC Filter, timeplt_audio:filter.0.1 RC Filter, timeplt_audio:filter.0.2 RC Filter, timeplt_audio:filter.1.0 RC Filter, timeplt_audio:filter.1.1 RC Filter, timeplt_audio:filter.1.2 RC Filter;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / 3rd Person;Shooter;-;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=ENzEt6Ybm2o;-;0;NO;NO;YES;NO;90 to 100 (Best Games);1982;Cocktail, Upright;NO;\\npuckman;Puck Man (Japan set 1);1980;Namco;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;pacman.cpp;Mame 0.2;09/02/97;Mame 0.195;28/02/18;0;1;2;1;1;RASTER;90;VERTICAL;288;224;60.606061;joystick (4-way);CRT 15kHz;Z80;maincpu Z80 @3.72 MHz;Speaker,Namco;mono Speaker, namco Namco @0.96 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Maze / Collect;Maze;Pac-Man;Japanese;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=itTum_9Eue4;-;80;NO;NO;YES;NO;90 to 100 (Best Games);1980;Cocktail, Upright;NO;\\nqbert;Q*bert (US set 1);1982;Gottlieb;YES;-;NO;-;qbert;YES;NO;NO;-;NO;YES;NO;NO;gottlieb.cpp;Mame 0.17;14/04/97;Mame 0.194;31/01/18;0;0;2;2;1;RASTER;270;VERTICAL;256;240;61.419025;joystick (8-way);CRT 15kHz;I8088,M6502;maincpu I8088 @5 MHz, r1sound:audiocpu M6502 @0.894886 MHz;Speaker,Gottlieb Sound rev. 1 with Votrax,8-Bit R-2R DAC,Votrax SC-01,Samples;speaker Speaker, r1sound Gottlieb Sound rev. 1 with Votrax, r1sound:dac 8-Bit R-2R DAC, r1sound:votrax Votrax SC-01 @0.72 MHz, knocker Speaker, knocker_sam Samples;IMPERFECT;GOOD;GOOD;IMPERFECT;GOOD;UNKNOWN;GOOD;GOOD;-;Platform / Run Jump;Platform;Q*Bert;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;https://archive.org/details/arcade_qbert;https://www.youtube.com/watch?v=9ZvkWJ82dr8;-;0;NO;NO;YES;NO;English;90 to 100 (Best Games);1982;Cocktail, Upright;YES\\nqix;Qix (Rev 2);1981;Taito America Corporation;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;qix.cpp;Mame 0.23;02/06/97;Mame 0.194;31/01/18;0;2;3;2;1;RASTER;270;VERTICAL;256;256;55.838470;joystick (4-way);CRT 15kHz;MC6809E,M6802;maincpu MC6809E @1.25 MHz, videocpu MC6809E @1.25 MHz, audiocpu M6802 @3.6864 MHz;Speaker,Discrete Sound;lspeaker Speaker, rspeaker Speaker, discrete Discrete Sound;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Puzzle / Outline;Puzzle;Qix;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;https://archive.org/details/arcade_qix;https://www.youtube.com/watch?v=kCPndvhP0XY;-;0;NO;NO;NO;NO;English;90 to 100 (Best Games);1981;1981;NO\\nraiden;Raiden (set 1);1990;Seibu Kaihatsu;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;raiden.cpp;Mame 0.36b1;19/07/99;Mame 0.194;31/01/18;0;2;2;1;1;RASTER;270;VERTICAL;256;224;59.600000;joystick (8-way);CRT 15kHz;V30,Z80;maincpu V30 @10 MHz, sub V30 @10 MHz, audiocpu Z80 @3.579545 MHz;Speaker,YM3812 OPL2,OKI MSM6295 ADPCM;mono Speaker, ymsnd YM3812 OPL2 @3.579545 MHz, oki OKI MSM6295 ADPCM @1 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;NODUMP;-;Shooter / Flying Vertical;Shooter;Raiden;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P sim;-;https://www.youtube.com/watch?v=HXA2-jnGuf0;-;0;NO;NO;YES;YES;English;90 to 100 (Best Games);-;90 to 100 (Best Games);NO\\nraiden2;Raiden II (US, set 1);1993;Seibu Kaihatsu (Fabtek license);YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;raiden2.cpp;Mame 0.74u2;06/10/03;Mame 0.194;31/01/18;0;2;2;1;1;RASTER;270;VERTICAL;320;240;55.407801;joystick (8-way);CRT 15kHz;V30,Z80;maincpu V30 @16 MHz, audiocpu Z80 @3.579545 MHz;Speaker,Yamaha YM2151 OPM,OKI MSM6295 ADPCM;mono Speaker, ymsnd Yamaha YM2151 OPM @3.579545 MHz, oki1 OKI MSM6295 ADPCM @1.22727 MHz, oki2 OKI MSM6295 ADPCM @1.22727 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;NODUMP;-;Shooter / Flying Vertical;Shooter;Raiden;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P sim;-;https://www.youtube.com/watch?v=BKssEdcZVC0;-;0;NO;NO;NO;NO;English;90 to 100 (Best Games);-;90 to 100 (Best Games);NO\\nripoff;Rip Off;1980;Cinematronics;YES;-;NO;-;ripoff;YES;NO;NO;-;NO;YES;NO;YES;cinemat.cpp;Mame 0.35b6;15/03/99;Mame 0.195;28/02/18;0;2;1;1;1;VECTOR;180;-;0;0;38.000107;joystick (2-way);-;Cinematronics CPU;maincpu Cinematronics CPU @4.98075 MHz;Speaker,Samples;mono Speaker, samples Samples;IMPERFECT;GOOD;GOOD;IMPERFECT;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Field;Shooter;-;English;Black & White Vectorial;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P sim;-;https://www.youtube.com/watch?v=7NvEtTa94To;-;0;NO;NO;NO;NO;90 to 100 (Best Games);1980;1980;NO;\\nrocnrope;Roc'n Rope;1983;Konami;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;rocnrope.cpp;Mame 0.30;08/01/98;Mame 0.195;28/02/18;0;2;2;1;1;RASTER;270;VERTICAL;256;224;60.000000;joystick (4-way);CRT 15kHz;KONAMI-1,Z80;maincpu KONAMI-1 @1.536 MHz, timeplt_audio:tpsound Z80 @1.789772 MHz;Time Pilot Audio,Speaker,AY-3-8910A PSG,RC Filter;timeplt_audio Time Pilot Audio, timeplt_audio:mono Speaker, timeplt_audio:ay1 AY-3-8910A PSG @1.789772 MHz, timeplt_audio:ay2 AY-3-8910A PSG @1.789772 MHz, timeplt_audio:filter.0.0 RC Filter, timeplt_audio:filter.0.1 RC Filter, timeplt_audio:filter.0.2 RC Filter, timeplt_audio:filter.1.0 RC Filter, timeplt_audio:filter.1.1 RC Filter, timeplt_audio:filter.1.2 RC Filter;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;NODUMP;-;Platform / Run Jump;Platform;-;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=3E7FH7Lp6yA;-;80;NO;NO;YES;NO;90 to 100 (Best Games);1983;Cocktail, Upright;NO;\\ns1945;Strikers 1945 (World);1995;Psikyo;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;psikyo.cpp;Mame 0.62;12/11/02;Mame 0.195;28/02/18;0;3;2;1;1;RASTER;270;VERTICAL;320;224;59.900000;joystick (8-way);CRT 15kHz;M68EC020,Z80;maincpu M68EC020 @16 MHz, audiocpu Z80 @4 MHz;Speaker,Yamaha YMF278B OPL4;mono Speaker, ymf Yamaha YMF278B OPL4 @33.8688 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;NODUMP;-;Shooter / Flying Vertical;Shooter;Strikers 1945;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P sim;-;https://www.youtube.com/watch?v=C0138-944xY;-;0;NO;NO;YES;NO;90 to 100 (Best Games);-;90 to 100 (Best Games);NO;\\ns1945ii;Strikers 1945 II;1997;Psikyo;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;psikyosh.cpp;Mame 0.59;22/03/02;Mame 0.195;28/02/18;0;2;2;1;1;RASTER;270;VERTICAL;320;224;60.000000;joystick (8-way);CRT 15kHz;SH-2;maincpu SH-2 @28.63635 MHz;Speaker,Yamaha YMF278B OPL4;mono Speaker, ymf Yamaha YMF278B OPL4 @28.63635 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Flying Vertical;Shooter;Strikers 1945;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P sim;-;https://www.youtube.com/watch?v=haWKSwRprhs;-;0;NO;NO;YES;YES;90 to 100 (Best Games);1997;1997;NO;\\ns1945iii;Strikers 1945 III (World) / Strikers 1999 (Japan);1999;Psikyo;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;psikyosh.cpp;Mame 0.62;12/11/02;Mame 0.195;28/02/18;0;3;2;1;1;RASTER;270;VERTICAL;320;224;60.000000;joystick (8-way);CRT 15kHz;SH-2;maincpu SH-2 @28.63635 MHz;Speaker,Yamaha YMF278B OPL4;mono Speaker, ymf Yamaha YMF278B OPL4 @28.63635 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Flying Vertical;Shooter;Strikers 1945;Japanese;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P sim;-;https://www.youtube.com/watch?v=A12qjMXGS9Q;-;0;NO;NO;NO;YES;90 to 100 (Best Games);1999;1999;NO;\\nsamuraia;Samurai Aces (World);1993;Psikyo;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;psikyo.cpp;Mame 0.62;12/11/02;Mame 0.195;28/02/18;0;3;2;1;1;RASTER;270;VERTICAL;320;224;59.300000;joystick (8-way);CRT 15kHz;M68EC020,Z80;maincpu M68EC020 @16 MHz, audiocpu Z80 @4 MHz;Speaker,YM2610 OPNB;mono Speaker, ymsnd YM2610 OPNB @8 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Flying Vertical;Shooter;Samurai Aces;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P sim;-;https://www.youtube.com/watch?v=x3jjfTMcErA;-;0;NO;NO;NO;NO;90 to 100 (Best Games);1993;1993;NO;\\nscontra;Super Contra;1988;Konami;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;thunderx.cpp;Mame 0.36b3;22/08/99;Mame 0.194;31/01/18;0;2;2;1;1;RASTER;90;VERTICAL;320;224;59.170000;joystick (8-way);CRT 15kHz;KONAMI CPU,Z80;maincpu KONAMI CPU @3 MHz, audiocpu Z80 @3.579545 MHz;Speaker,Yamaha YM2151 OPM,K007232 PCM Controller;mono Speaker, ymsnd Yamaha YM2151 OPM @3.579545 MHz, k007232 K007232 PCM Controller @3.579545 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Platform / Shooter Scrolling;Platform;Contra;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P sim;-;https://www.youtube.com/watch?v=v8ZK2vP78gE;-;0;NO;NO;YES;NO;English;90 to 100 (Best Games);-;90 to 100 (Best Games);NO\\nscramble;Scramble;1981;Konami;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;galaxian.cpp;Mame 0.6;23/02/97;Mame 0.194;31/01/18;0;2;2;1;1;RASTER;90;VERTICAL;768;224;60.606061;joystick (8-way);CRT 15kHz;Z80;maincpu Z80 @3.72 MHz, audiocpu Z80 @1.789772 MHz;Speaker,AY-3-8910A PSG,Discrete Sound;speaker Speaker, 8910.0 AY-3-8910A PSG @1.789772 MHz, 8910.1 AY-3-8910A PSG @1.789772 MHz, konami Discrete Sound;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Flying Horizontal;Shooter;Scramble;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=Zfd6gxCVWF4;-;0;NO;NO;YES;NO;English;90 to 100 (Best Games);1981;Cocktail, Upright;NO\\nsqbert;Faster, Harder, More Challenging Q*bert (prototype);1983;Mylstar;YES;-;NO;-;qbert;YES;NO;NO;-;NO;YES;NO;NO;gottlieb.cpp;Mame 0.33b2;08/05/98;Mame 0.195;28/02/18;0;0;2;2;1;RASTER;270;VERTICAL;256;240;61.419025;joystick (8-way);CRT 15kHz;I8088,M6502;maincpu I8088 @5 MHz, r1sound:audiocpu M6502 @0.894886 MHz;Speaker,Gottlieb Sound rev. 1 with Votrax,8-Bit R-2R DAC,Votrax SC-01,Samples;speaker Speaker, r1sound Gottlieb Sound rev. 1 with Votrax, r1sound:dac 8-Bit R-2R DAC, r1sound:votrax Votrax SC-01 @0.72 MHz, knocker Speaker, knocker_sam Samples;IMPERFECT;GOOD;GOOD;IMPERFECT;GOOD;UNKNOWN;GOOD;GOOD;-;Platform / Run Jump;Platform;Q*Bert;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;https://archive.org/details/arcade_sqbert;https://www.youtube.com/watch?v=RBm8keyDEcI;-;0;NO;NO;NO;NO;90 to 100 (Best Games);-;Cocktail, Upright;YES;\\nsrumbler;The Speed Rumbler (set 1);1986;Capcom;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;srumbler.cpp;Mame 0.31;25/04/98;Mame 0.195;28/02/18;0;2;3;1;1;RASTER;270;VERTICAL;352;240;60.000000;joystick (8-way);CRT 15kHz;MC6809,Z80;maincpu MC6809 @6 MHz, audiocpu Z80 @3 MHz;Speaker,YM2203 OPN;mono Speaker, ym1 YM2203 OPN @4 MHz, ym2 YM2203 OPN @4 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Driving Vertical;Shooter;-;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=ZfWZCuwBZT8;-;0;NO;NO;NO;NO;90 to 100 (Best Games);1986;Cocktail, Upright;NO;\\nstarcas;Star Castle (version 3);1980;Cinematronics;YES;-;NO;-;starcas;YES;NO;NO;-;NO;YES;NO;YES;cinemat.cpp;Mame 0.35b6;15/03/99;Mame 0.194;31/01/18;0;2;1;1;1;VECTOR;180;-;0;0;38.000107;joystick (2-way);-;Cinematronics CPU;maincpu Cinematronics CPU @4.98075 MHz;Speaker,Samples;mono Speaker, samples Samples;IMPERFECT;GOOD;GOOD;IMPERFECT;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Field;Shooter;-;English;Black & White Vectorial;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=v7V-R-mmDq4;-;0;NO;NO;NO;NO;Black & White Vectorial;60 to 70 (Passable);-;60 to 70 (Passable);NO\\nsuperpac;Super Pac-Man;1982;Namco;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;mappy.cpp;Mame 0.21;12/05/97;Mame 0.194;31/01/18;0;1;2;1;1;RASTER;90;VERTICAL;288;224;60.606061;joystick (4-way);CRT 15kHz;MC6809E;maincpu MC6809E @1.536 MHz, sub MC6809E @1.536 MHz;Speaker,Namco 15xx;speaker Speaker, namco Namco 15xx @0.24 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Maze / Collect;Maze;Pac-Man;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=wiU0yFJrdq0;-;0;NO;NO;NO;NO;English;90 to 100 (Best Games);1982;Cocktail, Upright;NO\\nszaxxon;Super Zaxxon (315-5013);1982;Sega;YES;-;NO;-;zaxxon;YES;NO;NO;-;NO;YES;NO;YES;zaxxon.cpp;Mame 0.30;08/01/98;Mame 0.195;28/02/18;0;1;2;1;1;RASTER;90;VERTICAL;256;224;59.999408;joystick (8-way);CRT 15kHz;Sega 315-5013;maincpu Sega 315-5013 @3.4125 MHz;Speaker,Samples;speaker Speaker, samples Samples;IMPERFECT;GOOD;GOOD;IMPERFECT;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Flying Diagonal;Shooter;Zaxxon;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;https://archive.org/details/arcade_szaxxon;https://www.youtube.com/watch?v=fhXLIKLnW_o;-;0;NO;NO;NO;NO;90 to 100 (Best Games);-;Cocktail, Upright;NO;\\ntimeplt;Time Pilot;1982;Konami;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;timeplt.cpp;Mame 0.12;23/03/97;Mame 0.194;31/01/18;0;1;2;1;1;RASTER;90;VERTICAL;256;224;60.000000;joystick (8-way);CRT 15kHz;Z80;maincpu Z80 @3.72 MHz, timeplt_audio:tpsound Z80 @1.789772 MHz;Time Pilot Audio,Speaker,AY-3-8910A PSG,RC Filter;timeplt_audio Time Pilot Audio, timeplt_audio:mono Speaker, timeplt_audio:ay1 AY-3-8910A PSG @1.789772 MHz, timeplt_audio:ay2 AY-3-8910A PSG @1.789772 MHz, timeplt_audio:filter.0.0 RC Filter, timeplt_audio:filter.0.1 RC Filter, timeplt_audio:filter.0.2 RC Filter, timeplt_audio:filter.1.0 RC Filter, timeplt_audio:filter.1.1 RC Filter, timeplt_audio:filter.1.2 RC Filter;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Field;Shooter;Time Pilot;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=ROl4Viu2Iro;-;0;NO;NO;YES;NO;English;90 to 100 (Best Games);1982;Cocktail, Upright;NO\\ntp84;Time Pilot '84 (set 1);1984;Konami;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;tp84.cpp;Mame 0.28;07/09/97;Mame 0.195;28/02/18;0;2;2;1;1;RASTER;90;VERTICAL;256;224;60.000000;joystick (8-way);CRT 15kHz;MC6809E,Z80;cpu1 MC6809E @1.536 MHz, sub MC6809E @1.536 MHz, audiocpu Z80 @3.579545 MHz;Speaker,Y2404,RC Filter;mono Speaker, y2404_1 Y2404 @1.789772 MHz, y2404_2 Y2404 @1.789772 MHz, y2404_3 Y2404 @1.789772 MHz, filter1 RC Filter, filter2 RC Filter, filter3 RC Filter;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Field;Shooter;Time Pilot;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=wx7Mgz91yPk;-;0;NO;NO;NO;NO;90 to 100 (Best Games);1984;Cocktail, Upright;NO;\\ntriplep;Triple Punch (set 1);1982;K.K. International;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;scramble.cpp;Mame 0.29;20/10/97;Mame 0.195;28/02/18;0;1;2;1;1;RASTER;90;VERTICAL;256;224;60.606061;joystick (4-way);CRT 15kHz;Z80;maincpu Z80 @3.72 MHz;Speaker,AY-3-8910A PSG;mono Speaker, 8910.1 AY-3-8910A PSG @1.536 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Maze / Outline;Maze;Triple Punch;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;https://archive.org/details/arcade_triplep;https://www.youtube.com/watch?v=NeWuKQqhJxM;-;0;NO;NO;NO;NO;90 to 100 (Best Games);-;Cocktail, Upright;NO;\\nvimana;Vimana (World, set 1);1991;Toaplan;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;NO;toaplan1.cpp;Mame 0.35b5;07/03/99;Mame 0.195;28/02/18;0;2;2;1;1;RASTER;270;VERTICAL;320;240;57.613169;joystick (8-way);CRT 15kHz;M68000,Z180;maincpu M68000 @10 MHz, audiocpu Z180 @3.5 MHz;Speaker,YM3812 OPL2;mono Speaker, ymsnd YM3812 OPL2 @3.5 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Flying Vertical;Shooter;-;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P sim;-;https://www.youtube.com/watch?v=DdZHfYrt2V8;-;0;NO;NO;NO;YES;80 to 90 (Very Good);-;80 to 90 (Very Good);NO;\\nvolfied;Volfied (World, revision 1);1989;Taito Corporation Japan;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;volfied.cpp;Mame 0.37b16 (0.52);05/07/01;Mame 0.195;28/02/18;0;1;2;1;1;RASTER;270;VERTICAL;320;240;60.000000;joystick (8-way);CRT 15kHz;M68000,Z80,uPD78C11;maincpu M68000 @8 MHz, audiocpu Z80 @4 MHz, cchip:upd7811 uPD78C11 @6 MHz;Speaker,YM2203 OPN;mono Speaker, ymsnd YM2203 OPN @4 MHz;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;NODUMP;-;Puzzle / Outline;Puzzle;-;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;https://archive.org/details/arcade_volfied;https://www.youtube.com/watch?v=mMvIf3dFeIA;-;0;NO;NO;NO;NO;90 to 100 (Best Games);1989;Cocktail, Upright;NO;\\nxevious;Xevious (Namco);1982;Namco;YES;-;NO;-;-;YES;NO;NO;-;NO;YES;NO;YES;galaga.cpp;Mame 0.27;10/08/97;Mame 0.194;31/01/18;0;2;2;1;1;RASTER;90;VERTICAL;288;224;60.606061;joystick (8-way);CRT 15kHz;Z80,MB8842,MB8843,MB8844;maincpu Z80 @3.72 MHz, sub Z80 @3.72 MHz, sub2 Z80 @3.72 MHz, 50xx:mcu MB8842 @1.536 MHz, 51xx:mcu MB8843 @1.536 MHz, 54xx:mcu MB8844 @1.536 MHz;Speaker,Namco,Discrete Sound;mono Speaker, namco Namco @0.96 MHz, discrete Discrete Sound;GOOD;GOOD;GOOD;GOOD;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Flying Vertical;Shooter;Xevious;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;-;https://www.youtube.com/watch?v=lB1cGSNE1sE;-;0;NO;NO;NO;NO;English;90 to 100 (Best Games);1982;Cocktail, Upright;NO\\nzaxxon;Zaxxon (set 1, rev D);1982;Sega;YES;-;NO;-;zaxxon;YES;NO;NO;-;NO;YES;NO;YES;zaxxon.cpp;Mame 0.8;04/03/97;Mame 0.194;31/01/18;0;1;2;1;1;RASTER;90;VERTICAL;256;224;59.999408;joystick (8-way);CRT 15kHz;Z80;maincpu Z80 @3.4125 MHz;Speaker,Samples;speaker Speaker, samples Samples;IMPERFECT;GOOD;GOOD;IMPERFECT;GOOD;UNKNOWN;GOOD;GOOD;-;Shooter / Flying Diagonal;Shooter;Zaxxon;English;-;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;NO;2P alt;https://archive.org/details/arcade_zaxxon;https://www.youtube.com/watch?v=jG9mKwrVbIU;-;0;NO;NO;NO;NO;English;90 to 100 (Best Games);1982;Cocktail, Upright;NO\\n\\nid,uuid,name,status,address,uap_lap,vendor,appearance,company,company_type,lmp_version,manufacturer,firmware,classic_mode,classic_service_uuids,classic_channels,classic_major_class,classic_minor_class,classic_class,classic_rssi,classic_tx_power,classic_features,classic_features_bitmap,le_mode,le_service_uuids,le_address_type,le_random_address_type,le_company_data,le_company_uuid,le_proximity_uuid,le_major_num,le_minor_num,le_flags,le_rssi,le_tx_power,le_features,le_features_bitmap,ibeacon_range,created_at,updated_at,last_seen\\n1,8881cfc7-4179-4597-af8d-143a113e0f70,,offline,F8:04:2E:95:D7:79,2E:95:D7:79,\\\"SAMSUNG ELECTRO-MECHANICS(THAILAND)\\\",,\\\"Samsung Electronics Co. Ltd. (117)\\\",,,,,f,,,,,,,,,,t,,Public,,4204018020f8042e95d779fa042e95d77801000000000000,,,,,,\\\"[{\\\"\\\"t\\\"\\\":1476274253,\\\"\\\"rssi\\\"\\\":\\\"\\\"-70 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476274314,\\\"\\\"rssi\\\"\\\":\\\"\\\"-83 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:10:58-04:00,2016-10-12T08:14:56-04:00,1476274314\\n2,dca87dee-9a2c-4231-97de-9d1b9f02c143,,offline,00:0D:4B:C0:48:62,4B:C0:48:62,\\\"Roku, Inc.\\\",,,,,,,t,,,\\\"Audio/Video (headset, speaker, stereo, video, vcr)\\\",\\\"Set-top box\\\",[],\\\"[{\\\"\\\"t\\\"\\\":1476274256,\\\"\\\"rssi\\\"\\\":\\\"\\\"-83 dBm\\\"\\\"}]\\\",,,,f,,,,,,,,,,,,,,,2016-10-12T08:10:59-04:00,2016-10-12T08:25:58-04:00,1476274256\\n3,5dd1b947-03a2-4533-a21a-3b63951366bb,KDC-BT5**U,online,00:08:E0:4C:2F:85,E0:4C:2F:85,\\\"ATO Technology Ltd.\\\",,,,\\\"Bluetooth 2.1 (0x04) - Subversion 4841 (0x12e9)\\\",\\\"Cambridge Silicon Radio (10)\\\",,t,,,\\\"Audio/Video (headset, speaker, stereo, video, vcr)\\\",\\\"Wearable Headset Device\\\",\\\"[\\\"\\\"Limited Discoverable Mode\\\"\\\",\\\"\\\"invalid service class\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274257,\\\"\\\"rssi\\\"\\\":\\\"\\\"-35 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476274333,\\\"\\\"rssi\\\"\\\":\\\"\\\"-52 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476274421,\\\"\\\"rssi\\\"\\\":\\\"\\\"-42 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476274483,\\\"\\\"rssi\\\"\\\":\\\"\\\"-93 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476274553,\\\"\\\"rssi\\\"\\\":\\\"\\\"-37 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476274632,\\\"\\\"rssi\\\"\\\":\\\"\\\"-41 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476274693,\\\"\\\"rssi\\\"\\\":\\\"\\\"-49 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476274777,\\\"\\\"rssi\\\"\\\":\\\"\\\"-46 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476274842,\\\"\\\"rssi\\\"\\\":\\\"\\\"-39 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476274928,\\\"\\\"rssi\\\"\\\":\\\"\\\"-45 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476274989,\\\"\\\"rssi\\\"\\\":\\\"\\\"-96 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476275093,\\\"\\\"rssi\\\"\\\":\\\"\\\"-87 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476275170,\\\"\\\"rssi\\\"\\\":\\\"\\\"-38 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476275255,\\\"\\\"rssi\\\"\\\":\\\"\\\"-48 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476275320,\\\"\\\"rssi\\\"\\\":\\\"\\\"-41 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476275381,\\\"\\\"rssi\\\"\\\":\\\"\\\"-50 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476275451,\\\"\\\"rssi\\\"\\\":\\\"\\\"-96 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476275525,\\\"\\\"rssi\\\"\\\":\\\"\\\"-44 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476275586,\\\"\\\"rssi\\\"\\\":\\\"\\\"-39 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476275660,\\\"\\\"rssi\\\"\\\":\\\"\\\"-38 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476275736,\\\"\\\"rssi\\\"\\\":\\\"\\\"-48 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476275799,\\\"\\\"rssi\\\"\\\":\\\"\\\"-36 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476275884,\\\"\\\"rssi\\\"\\\":\\\"\\\"-84 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476275961,\\\"\\\"rssi\\\"\\\":\\\"\\\"-46 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476276022,\\\"\\\"rssi\\\"\\\":\\\"\\\"-96 dBm\\\"\\\"}]\\\",,\\\"[\\\"\\\"3 slot packets\\\"\\\",\\\"\\\"3-slot Enhanced Data Rate ACL packets\\\"\\\",\\\"\\\"3-slot Enhanced Data Rate eSCO packets\\\"\\\",\\\"\\\"5 slot packets\\\"\\\",\\\"\\\"5-slot Enhanced Data Rate ACL packets\\\"\\\",\\\"\\\"A-law log synchronous data\\\"\\\",\\\"\\\"AFH capable master\\\"\\\",\\\"\\\"AFH capable slave\\\"\\\",\\\"\\\"AFH classification master\\\"\\\",\\\"\\\"AFH classification slave\\\"\\\",\\\"\\\"Broadcast Encryption\\\"\\\",\\\"\\\"CVSD synchronous data\\\"\\\",\\\"\\\"Channel quality driven data rate (CQDDR)\\\"\\\",\\\"\\\"EV4 packets\\\"\\\",\\\"\\\"EV5 packets\\\"\\\",\\\"\\\"Encapsulated PDU\\\"\\\",\\\"\\\"Encryption\\\"\\\",\\\"\\\"Enhanced Data Rate ACL 2 Mbps mode\\\"\\\",\\\"\\\"Enhanced Data Rate ACL 3 Mbps mode\\\"\\\",\\\"\\\"Enhanced Data Rate eSCO 2 Mbps mode\\\"\\\",\\\"\\\"Enhanced Data Rate eSCO 3 Mbps mode\\\"\\\",\\\"\\\"Enhanced inquiry scan\\\"\\\",\\\"\\\"Extended Inquiry Response\\\"\\\",\\\"\\\"Extended SCO link (EV3 packets)\\\"\\\",\\\"\\\"Extended features\\\"\\\",\\\"\\\"HV2 packets\\\"\\\",\\\"\\\"HV3 packets\\\"\\\",\\\"\\\"Hold mode\\\"\\\",\\\"\\\"Inquiry TX Power Level\\\"\\\",\\\"\\\"Interlaced inquiry scan\\\"\\\",\\\"\\\"Interlaced page scan\\\"\\\",\\\"\\\"Link Supervision Timeout Changed Event\\\"\\\",\\\"\\\"Non-flushable Packet Boundary Flag\\\"\\\",\\\"\\\"Paging parameter negotiation\\\"\\\",\\\"\\\"Park state\\\"\\\",\\\"\\\"Pause encryption\\\"\\\",\\\"\\\"Power control\\\"\\\",\\\"\\\"Power control requests\\\"\\\",\\\"\\\"RSSI with inquiry results\\\"\\\",\\\"\\\"Role switch\\\"\\\",\\\"\\\"SCO link\\\"\\\",\\\"\\\"Secure Simple Pairing\\\"\\\",\\\"\\\"Secure Simple Pairing (Host Support)\\\"\\\",\\\"\\\"Slot offset\\\"\\\",\\\"\\\"Sniff mode\\\"\\\",\\\"\\\"Sniff subrating\\\"\\\",\\\"\\\"Timing accuracy\\\"\\\",\\\"\\\"Transparent synchronous data\\\"\\\",\\\"\\\"u-law log synchronous data\\\"\\\",\\\"\\\"Enhanced Retransmission Mode\\\"\\\",\\\"\\\"FCS Option\\\"\\\"]\\\",\\\"{\\\"\\\"0\\\"\\\":\\\"\\\"0xff 0xff 0x8f 0xfe 0x9b 0xff 0x59 0x83\\\"\\\",\\\"\\\"1\\\"\\\":\\\"\\\"0x01 0x00 0x00 0x00 0x00 0x00 0x00 0x00\\\"\\\"}\\\",f,,,,,,,,,,,,,,,2016-10-12T08:10:59-04:00,2016-10-12T08:41:20-04:00,1476276023\\n4,0a7abcb4-e06f-485a-8351-59b81370efbb,,offline,F8:04:2E:FD:15:51,2E:FD:15:51,\\\"SAMSUNG ELECTRO-MECHANICS(THAILAND)\\\",,\\\"Samsung Electronics Co. Ltd. (117)\\\",,,,,f,,,,,,,,,,t,,Public,,4204018060f8042efd1551fa042efd155001000000000000,,,,,,\\\"[{\\\"\\\"t\\\"\\\":1476274293,\\\"\\\"rssi\\\"\\\":\\\"\\\"-84 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:11:36-04:00,2016-10-12T08:14:34-04:00,1476274293\\n5,3f0ab239-a3fe-4bd8-98b5-0bd2eace2fae,\\\"Roku Player\\\",offline,CC:6D:A0:7E:25:10,A0:7E:25:10,\\\"Roku, Inc.\\\",,,,,,,t,,,\\\"Audio/Video (headset, speaker, stereo, video, vcr)\\\",\\\"Set-top box\\\",[],\\\"[{\\\"\\\"t\\\"\\\":1476274315,\\\"\\\"rssi\\\"\\\":\\\"\\\"-84 dBm\\\"\\\"}]\\\",\\\"0 dBm\\\",,,f,,,,,,,,,,,,,,,2016-10-12T08:11:56-04:00,2016-10-12T08:26:56-04:00,1476274315\\n6,aef538fb-818b-4772-a623-451b9e92d1fa,,offline,10:40:F3:E3:A0:75,F3:E3:A0:75,\\\"Apple, Inc.\\\",,\\\"Apple, Inc. (76)\\\",\\\"Apple TV (9)\\\",,,,f,,,,,,,,,,t,,Public,,0201c0a801b1,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274330,\\\"\\\"rssi\\\"\\\":\\\"\\\"-84 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:12:13-04:00,2016-10-12T08:15:12-04:00,1476274330\\n7,008d0dfc-ec2e-4c2c-bd40-704121c8874c,\\\"Roku Player\\\",offline,00:0D:4B:BE:D9:D6,4B:BE:D9:D6,\\\"Roku, Inc.\\\",,,,,,,t,,,\\\"Audio/Video (headset, speaker, stereo, video, vcr)\\\",\\\"Set-top box\\\",[],\\\"[{\\\"\\\"t\\\"\\\":1476274333,\\\"\\\"rssi\\\"\\\":\\\"\\\"-84 dBm\\\"\\\"}]\\\",\\\"0 dBm\\\",,,f,,,,,,,,,,,,,,,2016-10-12T08:12:15-04:00,2016-10-12T08:27:14-04:00,1476274333\\n8,6f406fcb-0f02-4bd2-8b51-7f1cb509ed88,,offline,32:47:68:CB:CA:A6,68:CB:CA:A6,\\\"N/A - Random Address\\\",,\\\"Apple, Inc. (76)\\\",\\\"Apple TV (9)\\\",,,,f,,,,,,,,,,t,,Random,(Non-Resolvable),0308c0a80106,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"LE Limited Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274335,\\\"\\\"rssi\\\"\\\":\\\"\\\"-84 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:12:16-04:00,2016-10-12T08:15:16-04:00,1476274335\\n9,01d56c41-fc24-477c-88d6-ab277b46d054,,offline,2C:B4:3A:2C:52:D9,3A:2C:52:D9,\\\"Apple, Inc.\\\",,\\\"Apple, Inc. (76)\\\",\\\"Apple TV (9)\\\",,,,f,,,,,,,,,,t,,Public,,0306c0a801b2,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274337,\\\"\\\"rssi\\\"\\\":\\\"\\\"-80 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:12:19-04:00,2016-10-12T08:15:19-04:00,1476274337\\n10,8eda9f1a-9248-4b4a-b0b0-ac5113946be4,,offline,68:64:4B:33:4F:56,4B:33:4F:56,\\\"Apple, Inc.\\\",,\\\"Apple, Inc. (76)\\\",\\\"Apple TV (9)\\\",,,,f,,,,,,,,,,t,,Public,,0301c0a80108,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274338,\\\"\\\"rssi\\\"\\\":\\\"\\\"-87 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:12:26-04:00,2016-10-12T08:15:20-04:00,1476274339\\n11,cf009818-e466-4aba-9876-e0aed20529c1,,offline,AC:BC:32:5C:F0:77,32:5C:F0:77,\\\"Apple, Inc.\\\",,\\\"Apple, Inc. (76)\\\",\\\"Apple TV (9)\\\",,,,f,,,,,,,,,,t,,Public,,036600000000,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274370,\\\"\\\"rssi\\\"\\\":\\\"\\\"-77 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:12:51-04:00,2016-10-12T08:15:52-04:00,1476274370\\n12,d8143806-4959-4466-9157-1e77123b26ed,,offline,04:15:52:E6:BC:D6,52:E6:BC:D6,\\\"Apple, Inc.\\\",,\\\"Apple, Inc. (76)\\\",\\\"Apple TV (9)\\\",,,,f,,,,,,,,,,t,,Public,,0303c0a80108,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274372,\\\"\\\"rssi\\\"\\\":\\\"\\\"-84 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:12:53-04:00,2016-10-12T08:15:53-04:00,1476274372\\n13,ab0a1a2d-e6fa-4b8e-8528-9e523bf6011c,\\\"Christopher's Kindle\\\",offline,22:22:3D:74:C3:51,3D:74:C3:51,Unknown,,,,,,,t,,,\\\"Computer (desktop, notebook, PDA, organizers)\\\",\\\"Handheld PC/PDA (clam shell)\\\",\\\"[\\\"\\\"Capturing (Scanner, Microphone)\\\"\\\",\\\"\\\"Object Transfer (v-Inbox, v-Folder)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274375,\\\"\\\"rssi\\\"\\\":\\\"\\\"-82 dBm\\\"\\\"}]\\\",,,,f,,,,,,,,,,,,,,,2016-10-12T08:12:56-04:00,2016-10-12T08:27:56-04:00,1476274375\\n14,451284de-4727-40e0-a0cf-f1d65852fc90,,offline,6C:94:F8:EC:88:CF,F8:EC:88:CF,\\\"Apple, Inc.\\\",,\\\"Apple, Inc. (76)\\\",\\\"Apple TV (9)\\\",,,,f,,,,,,,,,,t,,Public,,0303c0a8010f,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274376,\\\"\\\"rssi\\\"\\\":\\\"\\\"-80 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:12:57-04:00,2016-10-12T08:15:57-04:00,1476274376\\n15,0c8250d2-7271-48f7-9a92-88f839bc13aa,,offline,68:64:4B:48:8D:83,4B:48:8D:83,\\\"Apple, Inc.\\\",,\\\"Apple, Inc. (76)\\\",\\\"Apple TV (9)\\\",,,,f,,,,,,,,,,t,,Public,,0303c0a80109,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274377,\\\"\\\"rssi\\\"\\\":\\\"\\\"-79 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:12:58-04:00,2016-10-12T08:15:58-04:00,1476274377\\n16,f7496b8a-e4db-4c1b-9743-bcac287a1548,\\\"[Samsung] Soundbar J-Series\\\",offline,78:BD:BC:9C:44:65,BC:9C:44:65,\\\"Samsung Electronics Co.,Ltd\\\",,,,,,,t,,,\\\"Audio/Video (headset, speaker, stereo, video, vcr)\\\",\\\"Wearable Headset Device\\\",\\\"[\\\"\\\"Rendering (Printing, Speaker)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274377,\\\"\\\"rssi\\\"\\\":\\\"\\\"-80 dBm\\\"\\\"}]\\\",,,,f,,,,,,,,,,,,,,,2016-10-12T08:12:59-04:00,2016-10-12T08:27:58-04:00,1476274377\\n17,8da7dca1-086b-42c7-872f-dc4dd8bef04b,,offline,D0:4F:7E:05:11:A5,7E:05:11:A5,\\\"Apple, Inc.\\\",,\\\"Apple, Inc. (76)\\\",\\\"Apple TV (9)\\\",,,,f,,,,,,,,,,t,,Public,,0301c0a80103,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274378,\\\"\\\"rssi\\\"\\\":\\\"\\\"-81 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:12:59-04:00,2016-10-12T08:16:00-04:00,1476274378\\n18,6752bd65-e522-4a0f-be3c-38f0044ff1b1,,offline,B8:78:2E:17:09:42,2E:17:09:42,\\\"Apple, Inc.\\\",,\\\"Apple, Inc. (76)\\\",\\\"Apple TV (9)\\\",,,,f,,,,,,,,,,t,,Public,,030bc0a8010e,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274386,\\\"\\\"rssi\\\"\\\":\\\"\\\"-69 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:13:07-04:00,2016-10-12T08:16:08-04:00,1476274386\\n19,51fa1200-a78d-4c65-911d-ca4f941623aa,\\\"Roku Player\\\",offline,00:0D:4B:F0:46:16,4B:F0:46:16,\\\"Roku, Inc.\\\",,,,,,,t,,,\\\"Audio/Video (headset, speaker, stereo, video, vcr)\\\",\\\"Set-top box\\\",[],\\\"[{\\\"\\\"t\\\"\\\":1476274436,\\\"\\\"rssi\\\"\\\":\\\"\\\"-82 dBm\\\"\\\"}]\\\",\\\"0 dBm\\\",,,f,,,,,,,,,,,,,,,2016-10-12T08:13:57-04:00,2016-10-12T08:28:58-04:00,1476274436\\n20,a36cc28b-b5d1-4b2c-864d-909eeb690032,DEH-X6800BT,offline,94:B2:CC:08:96:38,CC:08:96:38,\\\"PIONEER CORPORATION\\\",,,,,,,t,,,\\\"Audio/Video (headset, speaker, stereo, video, vcr)\\\",\\\"Hands-free Device\\\",\\\"[\\\"\\\"Rendering (Printing, Speaker)\\\"\\\",\\\"\\\"Object Transfer (v-Inbox, v-Folder)\\\"\\\",\\\"\\\"Audio (Speaker, Microphone, Headset)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274438,\\\"\\\"rssi\\\"\\\":\\\"\\\"-78 dBm\\\"\\\"}]\\\",,,,f,,,,,,,,,,,,,,,2016-10-12T08:13:59-04:00,2016-10-12T08:29:00-04:00,1476274438\\n21,9c471282-bc5f-463b-bcb9-0c2cae3f3875,DESKTOP-MVR9IJV,offline,60:33:4B:0D:30:5E,4B:0D:30:5E,\\\"Apple, Inc.\\\",,,,\\\"Bluetooth 2.1 (0x04) - Subversion 16938 (0x422a)\\\",\\\"Broadcom Corporation (15)\\\",,t,,\\\"[\\\"\\\"L2CAP Signaling (BR/EDR)\\\"\\\",\\\"\\\"Security Manager\\\"\\\",\\\"\\\"Networking (LAN, Ad hoc)\\\"\\\"]\\\",\\\"Computer (desktop, notebook, PDA, organizers)\\\",\\\"Desktop workstation\\\",\\\"[\\\"\\\"Networking (LAN, Ad hoc)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274464,\\\"\\\"rssi\\\"\\\":\\\"\\\"-82 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476274528,\\\"\\\"rssi\\\"\\\":\\\"\\\"-81 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476274589,\\\"\\\"rssi\\\"\\\":\\\"\\\"-78 dBm\\\"\\\"}]\\\",\\\"0 dBm\\\",\\\"[\\\"\\\"3 slot packets\\\"\\\",\\\"\\\"3-slot Enhanced Data Rate ACL packets\\\"\\\",\\\"\\\"3-slot Enhanced Data Rate eSCO packets\\\"\\\",\\\"\\\"5 slot packets\\\"\\\",\\\"\\\"5-slot Enhanced Data Rate ACL packets\\\"\\\",\\\"\\\"A-law log synchronous data\\\"\\\",\\\"\\\"AFH capable master\\\"\\\",\\\"\\\"AFH capable slave\\\"\\\",\\\"\\\"AFH classification master\\\"\\\",\\\"\\\"AFH classification slave\\\"\\\",\\\"\\\"Broadcast Encryption\\\"\\\",\\\"\\\"CVSD synchronous data\\\"\\\",\\\"\\\"Channel quality driven data rate (CQDDR)\\\"\\\",\\\"\\\"EV4 packets\\\"\\\",\\\"\\\"EV5 packets\\\"\\\",\\\"\\\"Encapsulated PDU\\\"\\\",\\\"\\\"Encryption\\\"\\\",\\\"\\\"Enhanced Data Rate ACL 2 Mbps mode\\\"\\\",\\\"\\\"Enhanced Data Rate ACL 3 Mbps mode\\\"\\\",\\\"\\\"Enhanced Data Rate eSCO 2 Mbps mode\\\"\\\",\\\"\\\"Enhanced Data Rate eSCO 3 Mbps mode\\\"\\\",\\\"\\\"Enhanced inquiry scan\\\"\\\",\\\"\\\"Erroneous Data Reporting\\\"\\\",\\\"\\\"Extended Inquiry Response\\\"\\\",\\\"\\\"Extended SCO link (EV3 packets)\\\"\\\",\\\"\\\"Extended features\\\"\\\",\\\"\\\"Flow control lag (most significant bit)\\\"\\\",\\\"\\\"HV2 packets\\\"\\\",\\\"\\\"HV3 packets\\\"\\\",\\\"\\\"Hold mode\\\"\\\",\\\"\\\"Inquiry TX Power Level\\\"\\\",\\\"\\\"Interlaced inquiry scan\\\"\\\",\\\"\\\"Interlaced page scan\\\"\\\",\\\"\\\"Link Supervision Timeout Changed Event\\\"\\\",\\\"\\\"Non-flushable Packet Boundary Flag\\\"\\\",\\\"\\\"Paging parameter negotiation\\\"\\\",\\\"\\\"Park state\\\"\\\",\\\"\\\"Pause encryption\\\"\\\",\\\"\\\"Power control\\\"\\\",\\\"\\\"Power control requests\\\"\\\",\\\"\\\"RSSI with inquiry results\\\"\\\",\\\"\\\"Role switch\\\"\\\",\\\"\\\"SCO link\\\"\\\",\\\"\\\"Secure Simple Pairing\\\"\\\",\\\"\\\"Secure Simple Pairing (Host Support)\\\"\\\",\\\"\\\"Slot offset\\\"\\\",\\\"\\\"Sniff mode\\\"\\\",\\\"\\\"Sniff subrating\\\"\\\",\\\"\\\"Timing accuracy\\\"\\\",\\\"\\\"Transparent synchronous data\\\"\\\",\\\"\\\"u-law log synchronous data\\\"\\\",\\\"\\\"Enhanced Retransmission Mode\\\"\\\",\\\"\\\"FCS Option\\\"\\\",\\\"\\\"Fixed Channels\\\"\\\",\\\"\\\"Streaming Mode\\\"\\\"]\\\",\\\"{\\\"\\\"0\\\"\\\":\\\"\\\"0xff 0xff 0xcf 0xfe 0x9b 0xff 0x79 0x83\\\"\\\",\\\"\\\"1\\\"\\\":\\\"\\\"0x01 0x00 0x00 0x00 0x00 0x00 0x00 0x00\\\"\\\"}\\\",f,,,,,,,,,,,,,,,2016-10-12T08:14:25-04:00,2016-10-12T08:31:30-04:00,1476274589\\n22,1b36fc8f-ae6f-4cae-a145-26cd6d3c3e95,,offline,88:C6:26:2D:EF:1E,26:2D:EF:1E,\\\"Logitech - Ultimate Ears\\\",,\\\"not assigned (50824)\\\",,,,,f,,,,,,,,,,t,\\\"[\\\"\\\"Unknown (72daa6c3-29c2-6283-0c4a-2818e4d37e75)\\\"\\\"]\\\",Public,,262def1e,,,,,\\\"[\\\"\\\"BR/EDR Not Supported\\\"\\\",\\\"\\\"LE General Discoverable Mode\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274467,\\\"\\\"rssi\\\"\\\":\\\"\\\"-82 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476274528,\\\"\\\"rssi\\\"\\\":\\\"\\\"-78 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476274589,\\\"\\\"rssi\\\"\\\":\\\"\\\"-76 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:14:28-04:00,2016-10-12T08:19:30-04:00,1476274589\\n23,496b6c24-6b83-40a7-9907-8fd0828daa8c,\\\"JVC Unit\\\",offline,00:10:60:D2:D5:42,60:D2:D5:42,\\\"BILLIONTON SYSTEMS, INC.\\\",,,,,,,t,,,\\\"Audio/Video (headset, speaker, stereo, video, vcr)\\\",\\\"Wearable Headset Device\\\",\\\"[\\\"\\\"Audio (Speaker, Microphone, Headset)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274476,\\\"\\\"rssi\\\"\\\":\\\"\\\"-69 dBm\\\"\\\"}]\\\",,,,f,,,,,,,,,,,,,,,2016-10-12T08:14:38-04:00,2016-10-12T08:29:37-04:00,1476274476\\n24,f456c4ce-37d0-4ef6-96c0-2d4bf79b5fad,\\\"VW PHONE\\\",offline,00:26:7E:D8:DD:70,7E:D8:DD:70,\\\"PARROT SA\\\",,,,,,,t,,,\\\"Audio/Video (headset, speaker, stereo, video, vcr)\\\",\\\"Hands-free Device\\\",\\\"[\\\"\\\"Rendering (Printing, Speaker)\\\"\\\",\\\"\\\"Object Transfer (v-Inbox, v-Folder)\\\"\\\",\\\"\\\"Audio (Speaker, Microphone, Headset)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274478,\\\"\\\"rssi\\\"\\\":\\\"\\\"-72 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476274551,\\\"\\\"rssi\\\"\\\":\\\"\\\"-68 dBm\\\"\\\"}]\\\",,,,f,,,,,,,,,,,,,,,2016-10-12T08:14:38-04:00,2016-10-12T08:30:52-04:00,1476274551\\n25,5aba85a3-d65d-4e0a-860b-fb8fd8ba9b10,,offline,C8:69:CD:75:C3:93,CD:75:C3:93,\\\"Apple, Inc.\\\",,\\\"Apple, Inc. (76)\\\",\\\"Unknown (16)\\\",,,,f,,,,,,,,,,t,,Public,,0100,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274479,\\\"\\\"rssi\\\"\\\":\\\"\\\"-81 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:14:40-04:00,2016-10-12T08:17:40-04:00,1476274479\\n26,262b7310-65d7-4a3b-bfd5-d4b5e71a4662,,offline,13:B6:76:EB:58:00,76:EB:58:00,\\\"N/A - Random Address\\\",,\\\"Apple, Inc. (76)\\\",\\\"Apple TV (9)\\\",,,,f,,,,,,,,,,t,,Random,(Non-Resolvable),0302c0a801aa,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"LE Limited Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274479,\\\"\\\"rssi\\\"\\\":\\\"\\\"-81 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:14:42-04:00,2016-10-12T08:17:40-04:00,1476274479\\n27,f377847d-1dc4-4ce2-903e-637f414af2a7,,offline,49:7E:D5:B6:07:2D,D5:B6:07:2D,\\\"N/A - Random Address\\\",,\\\"Apple, Inc. (76)\\\",\\\"Unknown (16)\\\",,,,f,,,,,,,,,,t,,Random,(Resolvable),0b00,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274481,\\\"\\\"rssi\\\"\\\":\\\"\\\"-80 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:14:42-04:00,2016-10-12T08:17:43-04:00,1476274481\\n28,4c64aa4f-812f-4727-8b7c-4dac5d6cf353,,offline,24:4B:03:92:A5:7A,03:92:A5:7A,\\\"Samsung Electronics Co.,Ltd\\\",,\\\"Samsung Electronics Co. Ltd. (117)\\\",,,,,f,,,,,,,,,,t,,Public,,4204018000244b0392a57a264b0392a57901000000000000,,,,,,\\\"[{\\\"\\\"t\\\"\\\":1476274507,\\\"\\\"rssi\\\"\\\":\\\"\\\"-86 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:15:09-04:00,2016-10-12T08:18:08-04:00,1476274507\\n29,78216e90-e8c5-4155-91e5-2a3a42264153,,offline,5E:F4:D9:0F:79:C3,D9:0F:79:C3,\\\"N/A - Random Address\\\",,\\\"Apple, Inc. (76)\\\",\\\"Unknown (16)\\\",,,,f,,,,,,,,,,t,,Random,(Resolvable),0a00,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274520,\\\"\\\"rssi\\\"\\\":\\\"\\\"-83 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476274584,\\\"\\\"rssi\\\"\\\":\\\"\\\"-79 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:15:21-04:00,2016-10-12T08:19:25-04:00,1476274584\\n30,7a742293-7bef-4680-90b4-f4b3a870e821,,offline,80:65:6D:0A:F5:EC,6D:0A:F5:EC,\\\"Samsung Electronics Co.,Ltd\\\",,,,,,,t,,,\\\"Phone (cellular, cordless, payphone, modem)\\\",Cellular,\\\"[\\\"\\\"Capturing (Scanner, Microphone)\\\"\\\",\\\"\\\"Object Transfer (v-Inbox, v-Folder)\\\"\\\",\\\"\\\"Telephony (Cordless telephony, Modem, Headset)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274521,\\\"\\\"rssi\\\"\\\":\\\"\\\"-78 dBm\\\"\\\"}]\\\",,,,f,,,,,,,,,,,,,,,2016-10-12T08:15:23-04:00,2016-10-12T08:30:23-04:00,1476274521\\n31,b0d8b306-2094-4a87-bc3b-50dd9c18ea9c,,offline,A0:40:41:02:06:70,41:02:06:70,\\\"SAMWONFA Co.,Ltd.\\\",,,,,,,t,,,\\\"Computer (desktop, notebook, PDA, organizers)\\\",\\\"Uncategorized, code for device not assigned\\\",[],\\\"[{\\\"\\\"t\\\"\\\":1476274523,\\\"\\\"rssi\\\"\\\":\\\"\\\"-62 dBm\\\"\\\"}]\\\",,,,f,,,,,,,,,,,,,,,2016-10-12T08:15:23-04:00,2016-10-12T08:30:25-04:00,1476274523\\n32,60b20c03-449a-4977-bb1e-ec02069b8aa6,,offline,2C:AE:2B:C5:F6:2C,2B:C5:F6:2C,\\\"Samsung Electronics Co.,Ltd\\\",\\\"Watch (0x00c0)\\\",\\\"not assigned (29952)\\\",,,,,f,,,,,,,,,,t,,Public,,01000200010202,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274525,\\\"\\\"rssi\\\"\\\":\\\"\\\"-77 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:15:27-04:00,2016-10-12T08:18:26-04:00,1476274525\\n33,e57418ca-ef49-4428-af84-d0ee621e082e,,offline,60:9B:98:72:70:FC,98:72:70:FC,\\\"N/A - Random Address\\\",,\\\"Apple, Inc. (76)\\\",,,,,f,,,,,,,,,,t,,Random,(Resolvable),,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274528,\\\"\\\"rssi\\\"\\\":\\\"\\\"-83 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:15:30-04:00,2016-10-12T08:18:29-04:00,1476274528\\n34,36d0a3de-91d4-4750-83de-11adf8d18e05,,offline,AC:BC:32:64:7C:9B,32:64:7C:9B,\\\"Apple, Inc.\\\",,\\\"Apple, Inc. (76)\\\",\\\"Apple TV (9)\\\",,,,f,,,,,,,,,,t,,Public,,0316c0a801f9,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274589,\\\"\\\"rssi\\\"\\\":\\\"\\\"-76 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:16:30-04:00,2016-10-12T08:19:30-04:00,1476274589\\n35,4be0da54-9335-4434-9fc5-383b148efd7c,,offline,A0:18:28:ED:98:D4,28:ED:98:D4,\\\"Apple, Inc.\\\",,\\\"Apple, Inc. (76)\\\",\\\"Apple TV (9)\\\",,,,f,,,,,,,,,,t,,Public,,0305c0a80103,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274590,\\\"\\\"rssi\\\"\\\":\\\"\\\"-82 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:16:32-04:00,2016-10-12T08:19:31-04:00,1476274590\\n36,01722267-22cf-457b-94a0-6c306d29d6bd,XBR-65X900C,offline,60:6D:C7:A8:4C:E0,C7:A8:4C:E0,\\\"Hon Hai Precision Ind. Co.,Ltd.\\\",,\\\"Broadcom Corporation (15)\\\",,,,,t,,,\\\"Audio/Video (headset, speaker, stereo, video, vcr)\\\",\\\"Video Display and Loudspeaker\\\",\\\"[\\\"\\\"Capturing (Scanner, Microphone)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274590,\\\"\\\"rssi\\\"\\\":\\\"\\\"-78 dBm\\\"\\\"}]\\\",\\\"0 dBm\\\",\\\"[\\\"\\\"LE Supported (Host)\\\"\\\",\\\"\\\"Secure Simple Pairing (Host Support)\\\"\\\"]\\\",\\\"{\\\"\\\"0\\\"\\\":\\\"\\\"0x03 0x00 0x00 0x00 0x00 0x00 0x00 0x00\\\"\\\"}\\\",f,,,,,,,,,,,,,,,2016-10-12T08:16:32-04:00,2016-10-12T08:31:32-04:00,1476274590\\n37,7a607091-a042-4c7c-a9f1-6aeeb3f0b65c,,offline,00:1E:3D:9E:F5:06,3D:9E:F5:06,\\\"ALPS ELECTRIC CO.,LTD.\\\",,,,,,,t,,,\\\"Audio/Video (headset, speaker, stereo, video, vcr)\\\",\\\"Hands-free Device\\\",\\\"[\\\"\\\"Rendering (Printing, Speaker)\\\"\\\",\\\"\\\"Object Transfer (v-Inbox, v-Folder)\\\"\\\",\\\"\\\"Audio (Speaker, Microphone, Headset)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274591,\\\"\\\"rssi\\\"\\\":\\\"\\\"-78 dBm\\\"\\\"}]\\\",,,,f,,,,,,,,,,,,,,,2016-10-12T08:16:32-04:00,2016-10-12T08:31:32-04:00,1476274591\\n38,7bb5c73e-b9ee-497f-bd10-98212b543ca7,,offline,FC:F1:36:B6:F8:3C,36:B6:F8:3C,\\\"Samsung Electronics Co.,Ltd\\\",,,,,,,t,,,\\\"Audio/Video (headset, speaker, stereo, video, vcr)\\\",Loudspeaker,[],\\\"[{\\\"\\\"t\\\"\\\":1476274604,\\\"\\\"rssi\\\"\\\":\\\"\\\"-80 dBm\\\"\\\"}]\\\",,,,f,,,,,,,,,,,,,,,2016-10-12T08:16:45-04:00,2016-10-12T08:31:45-04:00,1476274604\\n39,d37b3d39-19ba-445a-a620-350492d74e76,,offline,70:0A:5B:F5:AC:25,5B:F5:AC:25,\\\"N/A - Random Address\\\",,\\\"Apple, Inc. (76)\\\",\\\"Unknown (12)\\\",,,,f,,,,,,,,,,t,,Random,(Resolvable),00ecb9f2cd4edba8ce61212dca6a,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274604,\\\"\\\"rssi\\\"\\\":\\\"\\\"-62 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:16:45-04:00,2016-10-12T08:19:46-04:00,1476274604\\n40,9bca15d2-dafd-410e-859a-95ceb3638cfe,,offline,F4:F9:51:E1:D2:17,51:E1:D2:17,\\\"Apple, Inc.\\\",,\\\"Apple, Inc. (76)\\\",\\\"Apple TV (9)\\\",,,,f,,,,,,,,,,t,,Public,,0301c0a80197,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274606,\\\"\\\"rssi\\\"\\\":\\\"\\\"-83 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:16:47-04:00,2016-10-12T08:19:47-04:00,1476274606\\n41,26e51fa4-a6a1-48c1-a57d-970a12060702,\\\"LG CM4550(7D)\\\",offline,08:EF:3B:E5:EF:7D,3B:E5:EF:7D,\\\"MCS Logic Inc.\\\",,,,,,,t,\\\"[\\\"\\\"Unknown (00000000-deca-fade-deca-deafdecacaff)\\\"\\\"]\\\",,\\\"Audio/Video (headset, speaker, stereo, video, vcr)\\\",\\\"HiFi Audio Device\\\",\\\"[\\\"\\\"Rendering (Printing, Speaker)\\\"\\\",\\\"\\\"Object Transfer (v-Inbox, v-Folder)\\\"\\\",\\\"\\\"Audio (Speaker, Microphone, Headset)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274636,\\\"\\\"rssi\\\"\\\":\\\"\\\"-65 dBm\\\"\\\"}]\\\",,,,f,,,,,,,,,,,,,,,2016-10-12T08:17:18-04:00,2016-10-12T08:32:18-04:00,1476274636\\n42,09cfc384-bd74-4ca1-a87b-63cf01ff20d2,,offline,7B:7F:9C:13:50:A3,9C:13:50:A3,\\\"N/A - Random Address\\\",,\\\"Apple, Inc. (76)\\\",\\\"Unknown (12)\\\",,,,f,,,,,,,,,,t,,Random,(Resolvable),0067174a3f5389e5123f81436ecb,,,,,\\\"[\\\"\\\"BR/EDR Not Supported\\\"\\\",\\\"\\\"LE General Discoverable Mode\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274669,\\\"\\\"rssi\\\"\\\":\\\"\\\"-81 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:17:51-04:00,2016-10-12T08:20:50-04:00,1476274669\\n43,86c71545-5937-4342-ae3c-bc55fdec2756,,offline,FC:8F:90:A9:22:60,90:A9:22:60,\\\"Samsung Electronics Co.,Ltd\\\",,\\\"Samsung Electronics Co. Ltd. (117)\\\",,,,,f,,,,,,,,,,t,,Public,,4204018020fc8f90a92260fe8f90a9225f01000000000000,,,,,,\\\"[{\\\"\\\"t\\\"\\\":1476274673,\\\"\\\"rssi\\\"\\\":\\\"\\\"-68 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:17:54-04:00,2016-10-12T08:20:55-04:00,1476274673\\n44,181cd7d6-25ea-458d-860a-f3f335651684,,offline,B8:78:2E:21:51:2B,2E:21:51:2B,\\\"Apple, Inc.\\\",,\\\"Apple, Inc. (76)\\\",\\\"Apple TV (9)\\\",,,,f,,,,,,,,,,t,,Public,,0301c0a8010b,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274676,\\\"\\\"rssi\\\"\\\":\\\"\\\"-82 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:17:58-04:00,2016-10-12T08:20:58-04:00,1476274676\\n45,96232824-4aec-4bf1-bf13-b44fa608d122,X5,offline,30:22:00:1D:C9:82,00:1D:C9:82,Unknown,,,,\\\"Bluetooth 3.0 (0x05) - Subversion 500 (0x01f4)\\\",\\\"CONWISE Technology Corporation Ltd (66)\\\",,t,,,\\\"Audio/Video (headset, speaker, stereo, video, vcr)\\\",\\\"Hands-free Device\\\",\\\"[\\\"\\\"Rendering (Printing, Speaker)\\\"\\\",\\\"\\\"Audio (Speaker, Microphone, Headset)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274686,\\\"\\\"rssi\\\"\\\":\\\"\\\"-81 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476274754,\\\"\\\"rssi\\\"\\\":\\\"\\\"-80 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476274924,\\\"\\\"rssi\\\"\\\":\\\"\\\"-76 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476274986,\\\"\\\"rssi\\\"\\\":\\\"\\\"-70 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476275085,\\\"\\\"rssi\\\"\\\":\\\"\\\"-66 dBm\\\"\\\"}]\\\",,\\\"[\\\"\\\"3 slot packets\\\"\\\",\\\"\\\"3-slot Enhanced Data Rate ACL packets\\\"\\\",\\\"\\\"5 slot packets\\\"\\\",\\\"\\\"5-slot Enhanced Data Rate ACL packets\\\"\\\",\\\"\\\"AFH capable master\\\"\\\",\\\"\\\"AFH capable slave\\\"\\\",\\\"\\\"AFH classification master\\\"\\\",\\\"\\\"Broadcast Encryption\\\"\\\",\\\"\\\"CVSD synchronous data\\\"\\\",\\\"\\\"Encapsulated PDU\\\"\\\",\\\"\\\"Encryption\\\"\\\",\\\"\\\"Enhanced Data Rate ACL 2 Mbps mode\\\"\\\",\\\"\\\"Enhanced Power Control\\\"\\\",\\\"\\\"Enhanced inquiry scan\\\"\\\",\\\"\\\"Extended Inquiry Response\\\"\\\",\\\"\\\"Extended SCO link (EV3 packets)\\\"\\\",\\\"\\\"Extended features\\\"\\\",\\\"\\\"HV2 packets\\\"\\\",\\\"\\\"HV3 packets\\\"\\\",\\\"\\\"Inquiry TX Power Level\\\"\\\",\\\"\\\"Interlaced inquiry scan\\\"\\\",\\\"\\\"Interlaced page scan\\\"\\\",\\\"\\\"Link Supervision Timeout Changed Event\\\"\\\",\\\"\\\"Non-flushable Packet Boundary Flag\\\"\\\",\\\"\\\"Pause encryption\\\"\\\",\\\"\\\"Power control\\\"\\\",\\\"\\\"Power control requests\\\"\\\",\\\"\\\"RSSI with inquiry results\\\"\\\",\\\"\\\"Role switch\\\"\\\",\\\"\\\"SCO link\\\"\\\",\\\"\\\"Secure Simple Pairing\\\"\\\",\\\"\\\"Secure Simple Pairing (Host Support)\\\"\\\",\\\"\\\"Slot offset\\\"\\\",\\\"\\\"Sniff mode\\\"\\\",\\\"\\\"Timing accuracy\\\"\\\"]\\\",\\\"{\\\"\\\"0\\\"\\\":\\\"\\\"0xbf 0x3a 0x85 0xfa 0x88 0x1d 0x59 0x87\\\"\\\",\\\"\\\"1\\\"\\\":\\\"\\\"0x01 0x00 0x00 0x00 0x00 0x00 0x00 0x00\\\"\\\"}\\\",f,,,,,,,,,,,,,,,2016-10-12T08:18:09-04:00,2016-10-12T08:39:46-04:00,1476275085\\n46,a61f651e-fc30-44a3-b2e3-781dab1594e9,Z812,offline,3C:DA:2A:09:07:B2,2A:09:07:B2,\\\"zte corporation\\\",,,,,,,t,,,\\\"Phone (cellular, cordless, payphone, modem)\\\",\\\"Smart phone\\\",\\\"[\\\"\\\"Networking (LAN, Ad hoc)\\\"\\\",\\\"\\\"Capturing (Scanner, Microphone)\\\"\\\",\\\"\\\"Object Transfer (v-Inbox, v-Folder)\\\"\\\",\\\"\\\"Telephony (Cordless telephony, Modem, Headset)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274761,\\\"\\\"rssi\\\"\\\":\\\"\\\"-77 dBm\\\"\\\"}]\\\",,,,f,,,,,,,,,,,,,,,2016-10-12T08:19:24-04:00,2016-10-12T08:34:23-04:00,1476274761\\n47,650b6506-a0a2-428b-b9c8-e4f9c98a7788,\\\"[TV]Samsung LED55\\\",offline,5C:F6:DC:5F:03:A4,DC:5F:03:A4,\\\"Samsung Electronics Co.,Ltd\\\",,\\\"Broadcom Corporation (15)\\\",,,,,t,,,\\\"Audio/Video (headset, speaker, stereo, video, vcr)\\\",\\\"Video Display and Loudspeaker\\\",\\\"[\\\"\\\"Capturing (Scanner, Microphone)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274762,\\\"\\\"rssi\\\"\\\":\\\"\\\"-78 dBm\\\"\\\"}]\\\",\\\"0 dBm\\\",,,f,,,,,,,,,,,,,,,2016-10-12T08:19:31-04:00,2016-10-12T08:34:23-04:00,1476274762\\n48,2ceacfcd-021c-4965-8d8c-16784def3176,,offline,2C:30:68:03:2E:AE,68:03:2E:AE,\\\"Pantech Co.,Ltd\\\",,,,,,,t,,,\\\"Phone (cellular, cordless, payphone, modem)\\\",Cellular,\\\"[\\\"\\\"Networking (LAN, Ad hoc)\\\"\\\",\\\"\\\"Capturing (Scanner, Microphone)\\\"\\\",\\\"\\\"Object Transfer (v-Inbox, v-Folder)\\\"\\\",\\\"\\\"Telephony (Cordless telephony, Modem, Headset)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274769,\\\"\\\"rssi\\\"\\\":\\\"\\\"-80 dBm\\\"\\\"}]\\\",,,,f,,,,,,,,,,,,,,,2016-10-12T08:19:33-04:00,2016-10-12T08:34:31-04:00,1476274769\\n49,e680f038-1c61-4880-9ace-a97a0bf9cb49,\\\"Roku Player\\\",offline,00:0D:4B:F2:10:12,4B:F2:10:12,\\\"Roku, Inc.\\\",,,,,,,t,,,\\\"Audio/Video (headset, speaker, stereo, video, vcr)\\\",\\\"Set-top box\\\",[],\\\"[{\\\"\\\"t\\\"\\\":1476274772,\\\"\\\"rssi\\\"\\\":\\\"\\\"-80 dBm\\\"\\\"}]\\\",\\\"0 dBm\\\",,,f,,,,,,,,,,,,,,,2016-10-12T08:19:37-04:00,2016-10-12T08:34:34-04:00,1476274772\\n50,275974a3-676e-4057-b34c-bc82392f0d94,,offline,F4:F9:51:BE:20:45,51:BE:20:45,\\\"Apple, Inc.\\\",,\\\"Apple, Inc. (76)\\\",\\\"Apple TV (9)\\\",,,,f,,,,,,,,,,t,,Public,,0318c0a80109,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274825,\\\"\\\"rssi\\\"\\\":\\\"\\\"-82 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:20:26-04:00,2016-10-12T08:23:26-04:00,1476274825\\n51,3261866c-0aac-40ab-a531-8147ae3d173f,,offline,D0:03:4B:01:C3:7E,4B:01:C3:7E,\\\"Apple, Inc.\\\",,\\\"Apple, Inc. (76)\\\",\\\"Unknown (16)\\\",,,,f,,,,,,,,,,t,,Public,,0100,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274837,\\\"\\\"rssi\\\"\\\":\\\"\\\"-76 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:20:40-04:00,2016-10-12T08:23:39-04:00,1476274837\\n52,d07314ba-e40a-4acd-989f-81e644282cb2,\\\"[TV] Samsung\\\",offline,5C:F6:DC:5E:88:FB,DC:5E:88:FB,\\\"Samsung Electronics Co.,Ltd\\\",,\\\"Broadcom Corporation (15)\\\",,,,,t,,,\\\"Audio/Video (headset, speaker, stereo, video, vcr)\\\",\\\"Video Display and Loudspeaker\\\",\\\"[\\\"\\\"Capturing (Scanner, Microphone)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274838,\\\"\\\"rssi\\\"\\\":\\\"\\\"-75 dBm\\\"\\\"}]\\\",\\\"0 dBm\\\",,,f,,,,,,,,,,,,,,,2016-10-12T08:20:40-04:00,2016-10-12T08:35:39-04:00,1476274838\\n53,8bbd664a-0ba5-4b19-991c-56b8dc3098f1,,offline,29:DE:19:F1:7D:C5,19:F1:7D:C5,\\\"N/A - Random Address\\\",,\\\"Apple, Inc. (76)\\\",\\\"Apple TV (9)\\\",,,,f,,,,,,,,,,t,,Random,(Non-Resolvable),0341c0a8020b,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"LE Limited Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274838,\\\"\\\"rssi\\\"\\\":\\\"\\\"-76 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:20:41-04:00,2016-10-12T08:23:40-04:00,1476274838\\n54,56327f06-bd11-420e-82c1-3fcb8357f52e,,offline,5C:F9:38:C1:72:51,38:C1:72:51,\\\"Apple, Inc.\\\",,\\\"Apple, Inc. (76)\\\",\\\"Apple TV (9)\\\",,,,f,,,,,,,,,,t,,Public,,0303c0a8019e,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274839,\\\"\\\"rssi\\\"\\\":\\\"\\\"-81 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:20:42-04:00,2016-10-12T08:23:40-04:00,1476274839\\n55,908dbf7c-834e-4ced-8f69-20b31821026e,,offline,D0:03:4B:EF:86:16,4B:EF:86:16,\\\"Apple, Inc.\\\",,\\\"Apple, Inc. (76)\\\",\\\"Unknown (16)\\\",,,,f,,,,,,,,,,t,,Public,,0100,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274840,\\\"\\\"rssi\\\"\\\":\\\"\\\"-85 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:20:42-04:00,2016-10-12T08:23:42-04:00,1476274840\\n56,76ee544d-7af9-42fd-8d30-6161c61921f6,\\\"[TV] UN55JS7000\\\",offline,FC:F1:36:23:CE:D8,36:23:CE:D8,\\\"Samsung Electronics Co.,Ltd\\\",,\\\"Broadcom Corporation (15)\\\",,,,,t,,,\\\"Audio/Video (headset, speaker, stereo, video, vcr)\\\",\\\"Video Display and Loudspeaker\\\",\\\"[\\\"\\\"Capturing (Scanner, Microphone)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274847,\\\"\\\"rssi\\\"\\\":\\\"\\\"-81 dBm\\\"\\\"}]\\\",\\\"0 dBm\\\",,,f,,,,,,,,,,,,,,,2016-10-12T08:21:25-04:00,2016-10-12T08:35:49-04:00,1476274847\\n57,f945d04c-e051-4653-8c99-ff8027f3dafc,,offline,45:42:36:CF:8C:87,36:CF:8C:87,\\\"N/A - Random Address\\\",,\\\"Apple, Inc. (76)\\\",\\\"Unknown (12)\\\",,,,f,,,,,,,,,,t,,Random,(Resolvable),009f0410ad43a97df78ccf1cb3be,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274964,\\\"\\\"rssi\\\"\\\":\\\"\\\"-80 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:22:47-04:00,2016-10-12T08:25:45-04:00,1476274964\\n58,876d4d33-a73d-4e3a-9fb2-2467d6d6edf6,,offline,E2:B5:EE:9C:0F:89,EE:9C:0F:89,\\\"N/A - Random Address\\\",,,,,,,f,,,,,,,,,,t,\\\"[\\\"\\\"Unknown (adab2003-6e7d-4601-bda2-bffaa68956ba)\\\"\\\",\\\"\\\"(UUID 0x180a): 0704\\\"\\\"]\\\",Random,(Static),,,,,,\\\"[\\\"\\\"BR/EDR Not Supported\\\"\\\",\\\"\\\"LE General Discoverable Mode\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274969,\\\"\\\"rssi\\\"\\\":\\\"\\\"-84 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:22:50-04:00,2016-10-12T08:25:50-04:00,1476274969\\n59,a61c1903-7bc9-45c5-b4e0-91e29f930b20,,offline,71:FC:77:D8:0D:35,77:D8:0D:35,\\\"N/A - Random Address\\\",,\\\"Apple, Inc. (76)\\\",\\\"Unknown (16)\\\",,,,f,,,,,,,,,,t,,Random,(Resolvable),0a00,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274981,\\\"\\\"rssi\\\"\\\":\\\"\\\"-79 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:23:02-04:00,2016-10-12T08:26:02-04:00,1476274981\\n60,5a15316b-74bc-480c-ae8d-d14bc32fe0d0,,offline,5A:A2:65:4A:E7:8F,65:4A:E7:8F,\\\"N/A - Random Address\\\",,\\\"Apple, Inc. (76)\\\",\\\"Unknown (16)\\\",,,,f,,,,,,,,,,t,,Random,(Resolvable),0a00,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274986,\\\"\\\"rssi\\\"\\\":\\\"\\\"-76 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:23:07-04:00,2016-10-12T08:26:07-04:00,1476274986\\n61,09d1d39c-f87a-49a7-b7a2-e03ca18b1a58,,offline,60:03:08:B5:B3:74,08:B5:B3:74,\\\"Apple, Inc.\\\",,\\\"Apple, Inc. (76)\\\",\\\"Apple TV (9)\\\",,,,f,,,,,,,,,,t,,Public,,0320c0a8000f,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476274988,\\\"\\\"rssi\\\"\\\":\\\"\\\"-74 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:23:09-04:00,2016-10-12T08:26:09-04:00,1476274988\\n62,034647c2-c107-4786-92df-1d6dc3cb4b81,,offline,4A:D4:89:B2:B3:1C,89:B2:B3:1C,\\\"N/A - Random Address\\\",,\\\"Apple, Inc. (76)\\\",\\\"Unknown (16)\\\",,,,f,,,,,,,,,,t,,Random,(Resolvable),0b00,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275009,\\\"\\\"rssi\\\"\\\":\\\"\\\"-75 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:23:31-04:00,2016-10-12T08:26:30-04:00,1476275009\\n63,5e3f1fd9-f973-4f42-8f32-58c503f8e029,,offline,00:A0:96:2A:78:7F,96:2A:78:7F,\\\"MITSUMI ELECTRIC CO., LTD.\\\",,,,,,,t,,,\\\"LAN /Network Access point\\\",0x07,\\\"[\\\"\\\"Positioning (Location identification)\\\"\\\",\\\"\\\"Telephony (Cordless telephony, Modem, Headset)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275010,\\\"\\\"rssi\\\"\\\":\\\"\\\"-68 dBm\\\"\\\"}]\\\",,,,f,,,,,,,,,,,,,,,2016-10-12T08:23:31-04:00,2016-10-12T08:38:31-04:00,1476275010\\n64,773f18d8-7cc3-4040-9154-9a23d67a8815,\\\"PR BT 9425\\\",offline,00:1F:FF:40:C9:A6,FF:40:C9:A6,\\\"Respironics, Inc.\\\",,,,,,,t,\\\"[\\\"\\\"Unknown (00000000-deca-fade-deca-deafdecacaff)\\\"\\\"]\\\",,Miscellaneous,0x00,[],\\\"[{\\\"\\\"t\\\"\\\":1476275012,\\\"\\\"rssi\\\"\\\":\\\"\\\"-80 dBm\\\"\\\"}]\\\",\\\"4 dBm\\\",,,f,,,,,,,,,,,,,,,2016-10-12T08:23:33-04:00,2016-10-12T08:38:34-04:00,1476275012\\n65,22e29e00-235e-473d-ad35-5eb24b2c54d4,,offline,68:64:4B:18:97:08,4B:18:97:08,\\\"Apple, Inc.\\\",,\\\"Apple, Inc. (76)\\\",\\\"Apple TV (9)\\\",,,,f,,,,,,,,,,t,,Public,,0301c0a801ec,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275014,\\\"\\\"rssi\\\"\\\":\\\"\\\"-75 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:23:35-04:00,2016-10-12T08:26:36-04:00,1476275014\\n66,ddd89659-75d8-415d-9f61-f66dbc2906ab,,offline,78:BD:BC:7B:08:F9,BC:7B:08:F9,\\\"Samsung Electronics Co.,Ltd\\\",,\\\"Samsung Electronics Co. Ltd. (117)\\\",,,,,f,,,,,,,,,,t,,Public,,420401802078bdbc7b08f97abdbc7b08f801000000000000,,,,,,\\\"[{\\\"\\\"t\\\"\\\":1476275030,\\\"\\\"rssi\\\"\\\":\\\"\\\"-75 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:23:53-04:00,2016-10-12T08:26:51-04:00,1476275030\\n67,abd1385c-1f58-4d22-8c30-73b2db4f45e1,,offline,FC:F1:36:C0:7F:35,36:C0:7F:35,\\\"Samsung Electronics Co.,Ltd\\\",,\\\"Samsung Electronics Co. Ltd. (117)\\\",,,,,f,,,,,,,,,,t,,Public,,4204018020fcf136c07f35fef136c07f3401000000000000,,,,,,\\\"[{\\\"\\\"t\\\"\\\":1476275034,\\\"\\\"rssi\\\"\\\":\\\"\\\"-77 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:23:54-04:00,2016-10-12T08:26:57-04:00,1476275034\\n68,c330de3a-6fa9-4346-9996-5235a2184ecc,\\\"Beddit 4479\\\",offline,94:54:93:02:7F:8F,93:02:7F:8F,\\\"Rigado, LLC\\\",,,,,,,f,,,,,,,,,,t,\\\"[\\\"\\\"Unknown (f82fd8a8-329d-4c44-a178-e82f91ec9fe6)\\\"\\\"]\\\",Public,,,,,,,\\\"[\\\"\\\"BR/EDR Not Supported\\\"\\\",\\\"\\\"LE General Discoverable Mode\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275037,\\\"\\\"rssi\\\"\\\":\\\"\\\"-82 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:23:58-04:00,2016-10-12T08:26:58-04:00,1476275037\\n69,f738f42b-8fa4-4941-bda3-93854d288fc1,,offline,5E:B7:F5:41:0E:D5,F5:41:0E:D5,\\\"N/A - Random Address\\\",,\\\"Apple, Inc. (76)\\\",\\\"Unknown (16)\\\",,,,f,,,,,,,,,,t,,Random,(Resolvable),0a00,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275091,\\\"\\\"rssi\\\"\\\":\\\"\\\"-81 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:24:52-04:00,2016-10-12T08:27:53-04:00,1476275091\\n70,84050115-0f06-425c-a261-cbf928d055c1,,offline,10:40:F3:E9:00:A9,F3:E9:00:A9,\\\"Apple, Inc.\\\",,\\\"Apple, Inc. (76)\\\",\\\"Apple TV (9)\\\",,,,f,,,,,,,,,,t,,Public,,0201c0a801a1,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275104,\\\"\\\"rssi\\\"\\\":\\\"\\\"-74 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:25:06-04:00,2016-10-12T08:28:05-04:00,1476275104\\n71,6a0d38d6-6083-44dc-b3c1-06b939fbf71b,,offline,A4:31:35:10:FB:E0,35:10:FB:E0,\\\"Apple, Inc.\\\",,\\\"Apple, Inc. 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(76)\\\",\\\"Apple TV (9)\\\",,,,f,,,,,,,,,,t,,Public,,0305c0a80104,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275132,\\\"\\\"rssi\\\"\\\":\\\"\\\"-84 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:25:33-04:00,2016-10-12T08:28:34-04:00,1476275132\\n74,f37a5582-624f-4254-bc28-770b28720916,,offline,B8:78:2E:4A:2B:C3,2E:4A:2B:C3,\\\"Apple, Inc.\\\",,\\\"Apple, Inc. (76)\\\",\\\"Apple TV (9)\\\",,,,f,,,,,,,,,,t,,Public,,0301c0a801a1,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275133,\\\"\\\"rssi\\\"\\\":\\\"\\\"-83 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:25:37-04:00,2016-10-12T08:28:34-04:00,1476275133\\n75,d173be79-8562-43c0-a670-3cd2f3da4b40,,offline,00:1E:AE:23:AE:4D,AE:23:AE:4D,\\\"Continental Automotive Systems\\\",,,,,,,t,,,\\\"Audio/Video (headset, speaker, stereo, video, vcr)\\\",\\\"Hands-free Device\\\",\\\"[\\\"\\\"Object Transfer (v-Inbox, v-Folder)\\\"\\\",\\\"\\\"Audio (Speaker, Microphone, Headset)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275170,\\\"\\\"rssi\\\"\\\":\\\"\\\"-80 dBm\\\"\\\"}]\\\",,,,f,,,,,,,,,,,,,,,2016-10-12T08:26:12-04:00,2016-10-12T08:41:12-04:00,1476275170\\n76,671fea74-486b-4a79-85ec-08faad55381c,\\\"BLU Logic 1111\\\",offline,00:0D:18:A0:8C:9C,18:A0:8C:9C,\\\"Mega-Trend Electronics CO., LTD.\\\",,,,,,,t,,,\\\"Audio/Video (headset, speaker, stereo, video, vcr)\\\",\\\"Wearable Headset Device\\\",\\\"[\\\"\\\"Rendering (Printing, Speaker)\\\"\\\",\\\"\\\"Audio (Speaker, Microphone, Headset)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275172,\\\"\\\"rssi\\\"\\\":\\\"\\\"-82 dBm\\\"\\\"}]\\\",,,,f,,,,,,,,,,,,,,,2016-10-12T08:26:16-04:00,2016-10-12T08:41:14-04:00,1476275172\\n77,b5fee519-a130-4a3d-b7f5-d61c07748daf,,offline,5A:E0:F4:BD:CF:28,F4:BD:CF:28,\\\"N/A - Random Address\\\",,\\\"Apple, Inc. (76)\\\",\\\"Unknown (12)\\\",,,,f,,,,,,,,,,t,,Random,(Resolvable),0014b95aa3737f3a0d0788dbfde1,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275176,\\\"\\\"rssi\\\"\\\":\\\"\\\"-70 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:26:18-04:00,2016-10-12T08:29:17-04:00,1476275176\\n78,6038972d-8426-4ad2-9e26-373b471efb2a,Zus,offline,13:37:A2:30:1F:92,A2:30:1F:92,Unknown,\\\"Tag (0x0200)\\\",\\\"not assigned (32000)\\\",,,,,f,,,,,,,,,,t,\\\"[\\\"\\\"Unknown (00001c00-d102-11e1-9b23-00025b00c6c6)\\\"\\\"]\\\",Public,,1337a2301f92,,,,,\\\"[\\\"\\\"BR/EDR Not Supported\\\"\\\",\\\"\\\"LE General Discoverable Mode\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275191,\\\"\\\"rssi\\\"\\\":\\\"\\\"-78 dBm\\\"\\\"}]\\\",\\\"8 dBm\\\",,,,2016-10-12T08:26:38-04:00,2016-10-12T08:29:33-04:00,1476275191\\n79,710bce4d-28be-4a33-a371-2c3cbe30afc2,,offline,78:BD:BC:2D:86:82,BC:2D:86:82,\\\"Samsung Electronics Co.,Ltd\\\",,\\\"Samsung Electronics Co. Ltd. (117)\\\",,,,,f,,,,,,,,,,t,,Public,,420401800078bdbc2d86827abdbc78e4c201000000000000,,,,,,\\\"[{\\\"\\\"t\\\"\\\":1476275258,\\\"\\\"rssi\\\"\\\":\\\"\\\"-83 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:27:40-04:00,2016-10-12T08:30:39-04:00,1476275258\\n80,070bf465-8bf8-47a4-830e-69ff45daa313,,online,10:C6:FC:01:53:C4,FC:01:53:C4,\\\"Garmin International\\\",,,,,,,t,,,\\\"Audio/Video (headset, speaker, stereo, video, vcr)\\\",\\\"Hands-free Device\\\",\\\"[\\\"\\\"Audio (Speaker, Microphone, Headset)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275271,\\\"\\\"rssi\\\"\\\":\\\"\\\"-82 dBm\\\"\\\"}]\\\",,,,f,,,,,,,,,,,,,,,2016-10-12T08:27:52-04:00,2016-10-12T08:27:52-04:00,1476275271\\n81,b4c3687e-104f-4d23-bbc6-a081734f3565,,offline,70:24:D5:94:86:90,D5:94:86:90,\\\"N/A - Random Address\\\",,\\\"Apple, Inc. (76)\\\",\\\"Unknown (16)\\\",,,,f,,,,,,,,,,t,,Random,(Resolvable),0a00,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275320,\\\"\\\"rssi\\\"\\\":\\\"\\\"-79 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:28:42-04:00,2016-10-12T08:31:42-04:00,1476275320\\n82,85d9890b-f01a-4e48-815e-5e0a64bdf488,KDC-BT3**U,online,00:1D:86:50:F8:D1,86:50:F8:D1,\\\"Shinwa Industries(China) Ltd.\\\",,,,,,,t,,,\\\"Audio/Video (headset, speaker, stereo, video, vcr)\\\",\\\"Wearable Headset Device\\\",\\\"[\\\"\\\"Rendering (Printing, Speaker)\\\"\\\",\\\"\\\"Audio (Speaker, Microphone, Headset)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275359,\\\"\\\"rssi\\\"\\\":\\\"\\\"-81 dBm\\\"\\\"}]\\\",\\\"0 dBm\\\",,,f,,,,,,,,,,,,,,,2016-10-12T08:29:22-04:00,2016-10-12T08:29:22-04:00,1476275359\\n83,794a5899-ea69-4dc3-aea9-56384f91e506,,online,00:1E:B2:1E:0D:BB,B2:1E:0D:BB,\\\"LG innotek\\\",,,,,,,t,,,\\\"Audio/Video (headset, speaker, stereo, video, vcr)\\\",\\\"Hands-free Device\\\",\\\"[\\\"\\\"Audio (Speaker, Microphone, Headset)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275364,\\\"\\\"rssi\\\"\\\":\\\"\\\"-80 dBm\\\"\\\"}]\\\",,,,f,,,,,,,,,,,,,,,2016-10-12T08:29:25-04:00,2016-10-12T08:29:25-04:00,1476275364\\n84,36b4bf80-f9c4-46a3-bdad-4f41af80628b,,offline,4F:7C:95:CE:5F:FB,95:CE:5F:FB,\\\"N/A - Random Address\\\",,\\\"Apple, Inc. 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(76)\\\",\\\"Unknown (12)\\\",,,,f,,,,,,,,,,t,,Random,(Resolvable),00353b6a99722a8e5af8a899da5e,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275365,\\\"\\\"rssi\\\"\\\":\\\"\\\"-76 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:29:26-04:00,2016-10-12T08:32:26-04:00,1476275365\\n86,532b1680-ba44-4bd5-b00b-60824bfcc929,,offline,53:DA:34:6E:40:F8,34:6E:40:F8,\\\"N/A - Random Address\\\",,\\\"Apple, Inc. (76)\\\",\\\"Unknown (12)\\\",,,,f,,,,,,,,,,t,,Random,(Resolvable),004a9e78c521c61dd40bb8b1e878,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275368,\\\"\\\"rssi\\\"\\\":\\\"\\\"-81 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:29:29-04:00,2016-10-12T08:32:29-04:00,1476275368\\n87,1f734747-0a9e-4209-851a-d7db651671b5,\\\"BT_nuvi #3929831759\\\",online,14:8F:21:A0:0A:0B,21:A0:0A:0B,\\\"Garmin International\\\",,,,,,,t,\\\"[\\\"\\\"Unknown (00000000-deca-fade-deca-deafdecacaff)\\\"\\\"]\\\",,\\\"Audio/Video (headset, speaker, stereo, video, vcr)\\\",\\\"Hands-free Device\\\",\\\"[\\\"\\\"Audio (Speaker, Microphone, Headset)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275387,\\\"\\\"rssi\\\"\\\":\\\"\\\"-78 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476275448,\\\"\\\"rssi\\\"\\\":\\\"\\\"-79 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476275518,\\\"\\\"rssi\\\"\\\":\\\"\\\"-80 dBm\\\"\\\"}]\\\",\\\"8 dBm\\\",,,f,,,,,,,,,,,,,,,2016-10-12T08:30:25-04:00,2016-10-12T08:32:06-04:00,1476275518\\n88,bf5adeca-0794-4db6-8645-be66c8659c0e,,online,00:26:7E:35:F1:07,7E:35:F1:07,\\\"PARROT SA\\\",,,,,,,t,,,\\\"Audio/Video (headset, speaker, stereo, video, vcr)\\\",\\\"Hands-free Device\\\",\\\"[\\\"\\\"Object Transfer (v-Inbox, v-Folder)\\\"\\\",\\\"\\\"Audio (Speaker, Microphone, Headset)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275426,\\\"\\\"rssi\\\"\\\":\\\"\\\"-81 dBm\\\"\\\"}]\\\",,,,f,,,,,,,,,,,,,,,2016-10-12T08:30:28-04:00,2016-10-12T08:30:28-04:00,1476275426\\n89,e532fcd5-997f-41e1-9bfa-dac686ac0bd0,,offline,5D:F5:3E:24:88:DD,3E:24:88:DD,\\\"N/A - Random Address\\\",,\\\"Apple, Inc. 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(76)\\\",\\\"Unknown (12)\\\",,,,f,,,,,,,,,,t,,Random,(Resolvable),001e16fbf263757321de8dc37048,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275430,\\\"\\\"rssi\\\"\\\":\\\"\\\"-78 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:30:32-04:00,2016-10-12T08:33:31-04:00,1476275430\\n91,0ba60204-4d36-4a84-8dc1-f3da57b06996,,offline,57:04:C9:5D:4E:65,C9:5D:4E:65,\\\"N/A - Random Address\\\",,\\\"Apple, Inc. (76)\\\",\\\"Unknown (12)\\\",,,,f,,,,,,,,,,t,,Random,(Resolvable),003f06ab043fa9e7ed223ba650ed,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275431,\\\"\\\"rssi\\\"\\\":\\\"\\\"-79 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:30:32-04:00,2016-10-12T08:33:33-04:00,1476275431\\n92,a806b7cc-5581-4e9e-a05f-d2e81fb3170f,,offline,5E:EE:3C:2A:A9:4A,3C:2A:A9:4A,\\\"N/A - Random Address\\\",,\\\"Apple, Inc. (76)\\\",\\\"Unknown (16)\\\",,,,f,,,,,,,,,,t,,Random,(Resolvable),0b00,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275448,\\\"\\\"rssi\\\"\\\":\\\"\\\"-77 dBm\\\"\\\"},{\\\"\\\"t\\\"\\\":1476275517,\\\"\\\"rssi\\\"\\\":\\\"\\\"-77 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:30:50-04:00,2016-10-12T08:34:58-04:00,1476275517\\n93,3cf2212a-a419-4914-a770-cc2683e6c4c3,,offline,67:60:3C:BE:B1:A3,3C:BE:B1:A3,\\\"N/A - Random Address\\\",,\\\"Apple, Inc. (76)\\\",\\\"Unknown (12)\\\",,,,f,,,,,,,,,,t,,Random,(Resolvable),001b27f103e0b56899155bfbdcf8,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275742,\\\"\\\"rssi\\\"\\\":\\\"\\\"-81 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:35:52-04:00,2016-10-12T08:38:47-04:00,1476275745\\n94,bfd2a755-f04c-413f-bae5-3adf21d6e529,,online,24:5F:DF:27:59:61,DF:27:59:61,\\\"KYOCERA Corporation\\\",,,,,,,t,,,\\\"Phone (cellular, cordless, payphone, modem)\\\",Cellular,\\\"[\\\"\\\"Networking (LAN, Ad hoc)\\\"\\\",\\\"\\\"Capturing (Scanner, Microphone)\\\"\\\",\\\"\\\"Object Transfer (v-Inbox, v-Folder)\\\"\\\",\\\"\\\"Telephony (Cordless telephony, Modem, Headset)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275754,\\\"\\\"rssi\\\"\\\":\\\"\\\"-82 dBm\\\"\\\"}]\\\",,,,f,,,,,,,,,,,,,,,2016-10-12T08:35:56-04:00,2016-10-12T08:35:56-04:00,1476275754\\n95,5c188c24-2774-4c3c-a98f-1eb2681469be,,online,9C:DF:03:5C:FB:4B,03:5C:FB:4B,\\\"Harman/Becker Automotive Systems GmbH\\\",,,,,,,t,,,\\\"Audio/Video (headset, speaker, stereo, video, vcr)\\\",\\\"Hands-free Device\\\",\\\"[\\\"\\\"Audio (Speaker, Microphone, Headset)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275777,\\\"\\\"rssi\\\"\\\":\\\"\\\"-84 dBm\\\"\\\"}]\\\",,,,f,,,,,,,,,,,,,,,2016-10-12T08:36:23-04:00,2016-10-12T08:36:23-04:00,1476275777\\n96,d9c39057-98cf-4cbb-96b9-e960832986b6,,online,00:80:37:25:D3:52,37:25:D3:52,\\\"Ericsson Group\\\",,,,,,,t,,,\\\"Imaging (printing, scanner, camera, display)\\\",0x20,\\\"[\\\"\\\"Rendering (Printing, Speaker)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275825,\\\"\\\"rssi\\\"\\\":\\\"\\\"-75 dBm\\\"\\\"}]\\\",,,,f,,,,,,,,,,,,,,,2016-10-12T08:37:08-04:00,2016-10-12T08:37:08-04:00,1476275825\\n97,024d1442-b5f1-42a6-8d6b-22cb320dbbaf,,offline,75:07:41:DE:16:AB,41:DE:16:AB,\\\"N/A - Random Address\\\",,\\\"Apple, Inc. (76)\\\",\\\"Unknown (16)\\\",,,,f,,,,,,,,,,t,,Random,(Resolvable),0b00,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275881,\\\"\\\"rssi\\\"\\\":\\\"\\\"-72 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:38:05-04:00,2016-10-12T08:41:02-04:00,1476275881\\n98,5df836a8-7337-425f-a6db-69745a9d718c,donZ30,online,48:9D:24:E3:D3:44,24:E3:D3:44,\\\"BlackBerry RTS\\\",,,,,,,t,,,\\\"Phone (cellular, cordless, payphone, modem)\\\",\\\"Smart phone\\\",\\\"[\\\"\\\"Networking (LAN, Ad hoc)\\\"\\\",\\\"\\\"Capturing (Scanner, Microphone)\\\"\\\",\\\"\\\"Object Transfer (v-Inbox, v-Folder)\\\"\\\",\\\"\\\"Audio (Speaker, Microphone, Headset)\\\"\\\",\\\"\\\"Telephony (Cordless telephony, Modem, Headset)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275885,\\\"\\\"rssi\\\"\\\":\\\"\\\"-76 dBm\\\"\\\"}]\\\",\\\"0 dBm\\\",,,f,,,,,,,,,,,,,,,2016-10-12T08:38:06-04:00,2016-10-12T08:38:06-04:00,1476275885\\n99,a1078bfd-af65-4347-8781-fc98f58ec633,,online,60:45:BD:6E:12:15,BD:6E:12:15,Microsoft,,,,,,,t,,,\\\"Computer (desktop, notebook, PDA, organizers)\\\",\\\"Handheld PC/PDA (clam shell)\\\",\\\"[\\\"\\\"Networking (LAN, Ad hoc)\\\"\\\",\\\"\\\"Capturing (Scanner, Microphone)\\\"\\\",\\\"\\\"Audio (Speaker, Microphone, Headset)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275937,\\\"\\\"rssi\\\"\\\":\\\"\\\"-86 dBm\\\"\\\"}]\\\",,,,f,,,,,,,,,,,,,,,2016-10-12T08:39:21-04:00,2016-10-12T08:39:21-04:00,1476275944\\n100,c6ff9b41-b3c1-4fb4-aafd-7664fcddca46,,online,42:5E:59:0A:DE:9A,59:0A:DE:9A,\\\"N/A - Random Address\\\",,\\\"Apple, Inc. (76)\\\",\\\"Unknown (16)\\\",,,,f,,,,,,,,,,t,,Random,(Resolvable),0a00,,,,,\\\"[\\\"\\\"LE General Discoverable Mode\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Controller)\\\"\\\",\\\"\\\"Simultaneous LE and BR/EDR (Host)\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275965,\\\"\\\"rssi\\\"\\\":\\\"\\\"-78 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:39:26-04:00,2016-10-12T08:39:26-04:00,1476275965\\n101,8b9405ae-9037-4a7d-a887-f2e7c9a93a3b,,online,00:0D:44:F9:D3:6E,44:F9:D3:6E,\\\"Audio BU - Logitech\\\",,\\\"not assigned (3328)\\\",,,,,f,,,,,,,,,,t,\\\"[\\\"\\\"Unknown (72daa6c3-29c2-6283-0c4a-2818e4d37e75)\\\"\\\"]\\\",Public,,44f9d36e,,,,,\\\"[\\\"\\\"BR/EDR Not Supported\\\"\\\",\\\"\\\"LE General Discoverable Mode\\\"\\\"]\\\",\\\"[{\\\"\\\"t\\\"\\\":1476275975,\\\"\\\"rssi\\\"\\\":\\\"\\\"-80 dBm\\\"\\\"}]\\\",,,,,2016-10-12T08:39:37-04:00,2016-10-12T08:39:39-04:00,1476275975\\n\\n\\nrecord_id,Unnamed: 0,title,abstract,year,label_included,duplicate_record_id,atd\\n5,4,Using Faults-Slip-Through Metric as a Predictor of Fault-Proneness,\\\"Background: The majority of software faults are present in small number of modules, therefore accurate prediction of fault-prone modules helps improve software quality by focusing testing efforts on a subset of modules. Aims: This paper evaluates the use of the faults-slip-through (FST) metric as a potential predictor of fault-prone modules. Rather than predicting the fault-prone modules for the complete test phase, the prediction is done at the specific test levels of integration and system test. Method: We applied eight classification techniques, to the task of identifying fault prone modules, representing a variety of approaches, including a standard statistical technique for classification (logistic regression), tree-structured classifiers (C4.5 and random forests), a Bayesian technique (Naive Bayes), machine-learning techniques (support vector machines and back-propagation artificial neural networks) and search-based techniques (genetic programming and artificial immune recognition systems) on FST data collected from two large industrial projects from the telecommunication domain. Results: Using area under the receiver operating characteristic (ROC) curve and the location of (PF, PD) pairs in the ROC space, the faults slip-through metric showed impressive results with the majority of the techniques for predicting fault-prone modules at both integration and system test levels. There were, however, no statistically significant differences between the performance of different techniques based on AUC, even though certain techniques were more consistent in the classification performance at the two test levels. Conclusions: We can conclude that the faults-slip-through metric is a potentially strong predictor of fault-proneness at integration and system test levels. The faults-slip-through measurements interact in ways that is conveniently accounted for by majority of the data mining techniques.\\\",2010,1,,1.0\\n20,19,Predicting the location and number of faults in large software systems,\\\"Advance knowledge of which files in the next release of a large software system are most likely to contain the largest numbers of faults can be a very valuable asset. To accomplish this, a negative binomial regression model has been developed and used to predict the expected number of faults in each file of the next release of a system. The predictions are based on the code of the file in the current release, and fault and modification history of the file from previous releases. The model has been applied to two large industrial systems, one with a history of 17 consecutive quarterly releases over 4 years, and the other with nine releases over 2 years. The predictions were quite accurate: for each release of the two systems, the 20 percent of the files with the highest predicted number of faults contained between 71 percent and 92 percent of the faults that were actually detected, with the overall average being 83 percent. The same model was also used to predict which files of the first system were likely to have the highest fault densities (faults per KLOC). In this case, the 20 percent of the files with the highest predicted fault densities contained an average of 62 percent of the system's detected faults. However, the identified files contained a much smaller percentage of the code mass than the files selected to maximize the numbers of faults. The model was also used to make predictions from a much smaller input set that only contained fault data from integration testing and later. The prediction was again very accurate, identifying files that contained from 71 percent to 93 percent of the faults, with the average being 84 percent. Finally, a highly simplified version of the predictor selected files containing, on average, 73 percent and 74 percent of the faults for the two systems.\\\",2005,1,,5.0\\n24,23,Locating where faults will be [software testing],\\\"The goal of this research is to allow software developers and testers to become aware of which files in the next release of a large software system are likely to contain the largest numbers of faults or the highest fault densities in the next release, thereby allowing testers to focus their efforts on the most fault-prone files. This is done by developing a negative binomial regression model to help predict characteristics of new releases of a software system, based on information collected about prior releases and the new release under development. The same prediction model was also used to allow a tester to select the files of a new release that collectively contain any desired percentage of the faults. The benefit of being able to make these sorts of predictions accurately should be clear: if we know where to look for bugs, we should be able to target our testing efforts there and, as a result, find problems more quickly and therefore more economically. Two case studies using large industrial software systems are summarized. The first study used seventeen consecutive releases of a large inventory system, representing more than four years of field exposure. The second study used nine releases of a service provisioning system with two years of field experience.\\\",2005,1,,11.0\\n32,31,Software defect association mining and defect correction effort prediction,\\\"Much current software defect prediction work focuses on the number of defects remaining in a software system. In this paper, we present association rule mining based methods to predict defect associations and defect correction effort. This is to help developers detect software defects and assist project managers in allocating testing resources more effectively. We applied the proposed methods to the SEL defect data consisting of more than 200 projects over more than 15 years. The results show that, for defect association prediction, the accuracy is very high and the false-negative rate is very low. Likewise, for the defect correction effort prediction, the accuracy for both defect isolation effort prediction and defect correction effort prediction are also high. We compared the defect correction effort prediction method with other types of methods - PART, C4.5, and Naive Bayes - and show that accuracy has been improved by at least 23 percent. We also evaluated the impact of support and confidence levels on prediction accuracy, false-negative rate, false-positive rate, and the number of rules. We found that higher support and confidence levels may not result in higher prediction accuracy, and a sufficient number of rules is a precondition for high prediction accuracy.\\\",2006,1,,12.0\\n37,36,A study on fault-proneness detection of object-oriented systems,\\\"Fault-proneness detection in object-oriented systems is an interesting area for software companies and researchers. Several hundred metrics have been defined with the aim of measuring the different aspects of object-oriented systems. Only a few of them have been validated for fault detection, and several interesting works with this view have been considered. This paper reports a research study starting from the analysis of more than 200 different object-oriented metrics extracted from the literature with the aim of identifying suitable models for the detection of the fault-proneness of classes. Such a large number of metrics allows the extraction of a subset of them in order to obtain models that can be adopted for fault-proneness detection. To this end, the whole set of metrics has been classified on the basis of the measured aspect in order to reduce them to a manageable number; then, statistical techniques were employed to produce a hybrid model comprised of 12 metrics. The work has focused on identifying models that can detect as many faulty classes as possible and, at the same time, that are based on a manageably small set of metrics. A compromise between these aspects and the classification correctness of faulty and non-faulty classes was the main challenge of the research. As a result, two models for fault-proneness class detection have been obtained and validated\\\",2001,1,,25.0\\n19,18,An investigation of the relationships between lines of code and defects (updated),\\\"It is always desirable to understand the quality of a software system based on static code metrics. In this paper, we analyze the relationships between lines of code (LOC) and defects (including both pre-release and post-release defects). We confirm the ranking ability of LOC discovered by Fenton and Ohlsson. Furthermore, we find that the ranking ability of LOC can be formally described using Weibull functions. We can use defect density values calculated from a small percentage of largest modules to predict the number of total defects accurately. We also find that, given LOC we can predict the number of defective components reasonably well using typical classification techniques. We perform an extensive experiment using the public Eclipse dataset, and replicate the study using the NASA dataset. Our results confirm that simple static code attributes such as LOC can be useful predictors of software quality.\\\",2009,1,,28.0\\n39,38,Naive Bayes Software Defect Prediction Model,\\\"Although the value of using static code attributes to learn defect predictor has been widely debated, there is no doubt that software defect predictions can effectively improve software quality and testing efficiency. Many data mining methods have already been introduced into defect predictions. We noted there have several versions of defect predictor based on Naive Bayes theory, and analyzed their difference estimation method and algorithm complexity. We found the best one which is Multi- variants Gauss Naive Bayes (MvGNB) by performing prediction performance evaluation, and we compared this model with decision tree learner J48. Experiment results on the benchmarking data sets of MDP made us believe that MvGNB would be useful for defect predictions.\\\",2010,1,,29.0\\n3,2,Test effort optimization by prediction and ranking of fault-prone software modules,\\\"Identification of fault-prone or not fault-prone modules is very essential to improve the reliability and quality of a software system. Once modules are categorized as fault-prone or not fault-prone, test effort are allocated accordingly. Testing effort and efficiency are primary concern and can be optimized by prediction and ranking of fault-prone modules. This paper discusses a new model for prediction and ranking of fault-prone software modules for test effort optimization. Model utilizes the classification capability of data mining techniques and knowledge stored in software metrics to classify the software module as fault-prone or not fault-prone. A decision tree is constructed using ID3 algorithm for the existing project data. Rules are derived form the decision tree and integrated with fuzzy inference system to classify the modules as either fault-prone or not fault-prone for the target data. The model is also able to rank the fault-prone module on the basis of its degree of fault-proneness. The model accuracy are validated and compared with some other models by using the NASA projects data set of PROMOSE repository.\\\",2010,1,,33.0\\n9,8,Application of neural network for predicting software development faults using object-oriented design metrics (updated),\\\"In this paper, we present the application of neural network for predicting software development faults including object-oriented faults. Object-oriented metrics can be used in quality estimation. In practice, quality estimation means either estimating reliability or maintainability. In the context of object-oriented metrics work, reliability is typically measured as the number of defects. Object-oriented design metrics are used as the independent variables and the number of faults is used as dependent variable in our study. Software metrics used include those concerning inheritance measures, complexity measures, coupling measures and object memory allocation measures. We also test the goodness of fit of neural network model by comparing the prediction result for software faults with multiple regression model. Our study is conducted on three industrial real-time systems that contain a number of natural faults that has been reported for three years (Mei-Huei Tang et al., 1999).\\\",2002,1,,42.0\\n27,26,Tree-based software quality estimation models for fault prediction (updated),\\\"Complex high-assurance software systems depend highly on reliability of their underlying software applications. Early identification of high-risk modules can assist in directing quality enhancement efforts to modules that are likely to have a high number of faults. Regression tree models are simple and effective as software quality prediction models, and timely predictions from such models can be used to achieve high software reliability. This paper presents a case study from our comprehensive evaluation (with several large case studies) of currently available regression tree algorithms for software fault prediction. These are, CART-LS (least squares), S-PLUS, and CART-LAD (least absolute deviation). The case study presented comprises of software design metrics collected from a large network telecommunications system consisting of almost 13 million lines of code. Tree models using design metrics are built to predict the number of faults in modules. The algorithms are also compared based on the structure and complexity of their tree models. Performance metrics, average absolute and average relative errors are used to evaluate fault prediction accuracy.\\\",2002,1,,46.0\\n7,6,Variance Analysis in Software Fault Prediction Models (updated),\\\"Software fault prediction models play an important role in software quality assurance. They identify software subsystems (modules,components, classes, or files) which are likely to contain faults. These subsystems, in turn, receive additional resources for verification and validation activities. Fault prediction models are binary classifiers typically developed using one of the supervised learning techniques from either a subset of the fault data from the current project or from a similar past project. In practice, it is critical that such models provide a reliable prediction performance on the data not used in training. Variance is an important reliability indicator of software fault prediction models. However, variance is often ignored or barely mentioned in many published studies. In this paper, through the analysis of twelve data sets from a public software engineering repository from the perspective of variance, we explore the following five questions regarding fault prediction models: (1) Do different types ofclassification performance measures exhibit different variance? (2) Does the size of the data set imply a more (or less) accurate prediction performance? (3) Does the size of training subset impact model's stability? (4) Do different classifiers consistently exhibit different performance in terms of model's variance? (5) Are there differences between variance from 1000 runs and 10 runs of 10-fold cross validation experiments? Our results indicate that variance is a very important factor in understanding fault prediction models and we recommend the best practice for reporting variance in empirical software engineering studies.\\\",2009,1,,48.0\\n33,32,Assessing the applicability of fault-proneness models across object-oriented software projects (updated),\\\"A number of papers have investigated the relationships between design metrics and the detection of faults in object-oriented software. Several of these studies have shown that such models can be accurate in predicting faulty classes within one particular software product. In practice, however, prediction models are built on certain products to be used on subsequent software development projects. How accurate can these models be, considering the inevitable differences that may exist across projects and systems? Organizations typically learn and change. From a more general standpoint, can we obtain any evidence that such models are economically viable tools to focus validation and verification effort? This paper attempts to answer these questions by devising a general but tailorable cost-benefit model and by using fault and design data collected on two mid-size Java systems developed in the same environment. Another contribution of the paper is the use of a novel exploratory analysis technique - MARS (multivariate adaptive regression splines) to build such fault-proneness models, whose functional form is a-priori unknown. The results indicate that a model built on one system can be accurately used to rank classes within another system according to their fault proneness. The downside, however, is that, because of system differences, the predicted fault probabilities are not representative of the system predicted. However, our cost-benefit model demonstrates that the MARS fault-proneness model is potentially viable, from an economical standpoint. The linear model is not nearly as good, thus suggesting a more complex model is required.\\\",2002,1,,52.0\\n10,9,Using the Conceptual Cohesion of Classes for Fault Prediction in Object-Oriented Systems,\\\"High cohesion is a desirable property of software as it positively impacts understanding, reuse, and maintenance. Currently proposed measures for cohesion in Object-Oriented (OO) software reflect particular interpretations of cohesion and capture different aspects of it. Existing approaches are largely based on using the structural information from the source code, such as attribute references, in methods to measure cohesion. This paper proposes a new measure for the cohesion of classes in OO software systems based on the analysis of the unstructured information embedded in the source code, such as comments and identifiers. The measure, named the Conceptual Cohesion of Classes (C3), is inspired by the mechanisms used to measure textual coherence in cognitive psychology and computational linguistics. This paper presents the principles and the technology that stand behind the C3 measure. A large case study on three open source software systems is presented which compares the new measure with an extensive set of existing metrics and uses them to construct models that predict software faults. The case study shows that the novel measure captures different aspects of class cohesion compared to any of the existing cohesion measures. In addition, combining C3 with existing structural cohesion metrics proves to be a better predictor of faulty classes when compared to different combinations of structural cohesion metrics.\\\",2008,1,,53.0\\n14,13,Use of relative code churn measures to predict system defect density,\\\"Software systems evolve over time due to changes in requirements, optimization of code, fixes for security and reliability bugs etc. Code churn, which measures the changes made to a component over a period of time, quantifies the extent of this change. We present a technique for early prediction of system defect density using a set of relative code churn measures that relate the amount of churn to other variables such as component size and the temporal extent of churn. Using statistical regression models, we show that while absolute measures of code chum are poor predictors of defect density, our set of relative measures of code churn is highly predictive of defect density. A case study performed on Windows Server 2003 indicates the validity of the relative code churn measures as early indicators of system defect density. Furthermore, our code churn metric suite is able to discriminate between fault and not fault-prone binaries with an accuracy of 89.0 percent.\\\",2005,1,,58.0\\n13,12,Software Fault Prediction Model Based on Adaptive Dynamical and Median Particle Swarm Optimization,\\\"Software quality prediction can play a role of importance in software management, and thus in improve the quality of software systems. By mining software with data mining technique, predictive models can be induced that software managers the insights they need to tackle these quality problems in an efficient way. This paper deals with the adaptive dynamic and median particle swarm optimization (ADMPSO) based on the PSO classification technique. ADMPSO can act as a valid data mining technique to predict erroneous software modules. The predictive model in this paper extracts the relationship rules of software quality and metrics. Information entropy approach is applied to simplify the extraction rule set. The empirical result shows that this method set of rules can be streamlined and the forecast accuracy can be improved.\\\",2010,1,,62.0\\n38,37,Fault Prediction using Early Lifecycle Data,\\\"The prediction of fault-prone modules in a software project has been the topic of many studies. In this paper, we investigate whether metrics available early in the development lifecycle can be used to identify fault-prone software modules. More precisely, we build predictive models using the metrics that characterize textual requirements. We compare the performance of requirements-based models against the performance of code-based models and models that combine requirement and code metrics. Using a range of modeling techniques and the data from three NASA projects, our study indicates that the early lifecycle metrics can play an important role in project management, either by pointing to the need for increased quality monitoring during the development or by using the models to assign verification and validation activities.\\\",2007,1,,68.0\\n16,15,Empirical assessment of machine learning based software defect prediction techniques,\\\"The wide-variety of real-time software systems, including telecontrol/telepresence systems, robotic systems, and mission planning systems, can entail dynamic code synthesis based on runtime mission-specific requirements and operating conditions. This necessitates the need for dynamic dependability assessment to ensure that these systems perform as specified and not fail in catastrophic ways. One approach in achieving this is to dynamically assess the modules in the synthesized code using software defect prediction techniques. Statistical models; such as stepwise multi-linear regression models and multivariate models, and machine learning approaches, such as artificial neural networks, instance-based reasoning, Bayesian-belief networks, decision trees, and rule inductions, have been investigated for predicting software quality. However, there is still no consensus about the best predictor model for software defects. In this paper; we evaluate different predictor models on four different real-time software defect data sets. The results show that a combination of IR and instance-based learning along with the consistency-based subset evaluation technique provides a relatively better consistency in accuracy prediction compared to other models. The results also show that \\\"\\\"size\\\"\\\" and \\\"\\\"complexity\\\"\\\" metrics are not sufficient for accurately predicting real-time software defects.\\\",2005,1,,85.0\\n17,16,Cost Curve Evaluation of Fault Prediction Models,\\\"Prediction of fault prone software components is one of the most researched problems in software engineering. Many statistical techniques have been proposed but there is no consensus on the methodology to select the \\\"\\\"best model\\\"\\\" for the specific project. In this paper, we introduce and discuss the merits of cost curve analysis of fault prediction models. Cost curves allow software quality engineers to introduce project-specific cost of module misclassification into model evaluation. Classifying a software module as fault-prone implies the application of some verification activities, thus adding to the development cost. Misclassifying a module as fault free carries the risk of system failure, also associated with cost implications. Through the analysis of sixteen projects from public repositories, we observe that software quality does not necessarily benefit from the prediction of fault prone components. The inclusion of misclassification cost in model evaluation may indicate that even the \\\"\\\"best\\\"\\\" models achieve performance no better than trivial classification. Our results support a recommendation to adopt cost curves as one of the standard methods for software quality model performance evaluation.\\\",2008,1,,87.0\\n34,33,A Novel Evaluation Method for Defect Prediction in Software Systems,\\\"In this paper, we propose a novel evaluation method for defect prediction in object-oriented software systems. For each metric to evaluate, we start by applying it to the dependency graph extracted from the target software system, and obtain a list of classes ordered by their predicted degree of defect under that metric. By utilizing the actual defect data mined from the subversion database, we evaluate the quality of each metric through means of a weighted reciprocal ranking mechanism. Our method can tell not only the overall quality of each evaluated metric, but also the quality of the prediction result for each class, especially those costly ones. Evaluation results and analysis show the efficiency and rationality of our method.\\\",2010,1,,89.0\\n36,35,Empirical Analysis of Software Fault Content and Fault Proneness Using Bayesian Methods,\\\"We present a methodology for Bayesian analysis of software quality. We cast our research in the broader context of constructing a causal framework that can include process, product, and other diverse sources of information regarding fault introduction during the software development process. In this paper, we discuss the aspect of relating internal product metrics to external quality metrics. Specifically, we build a Bayesian network (BN) model to relate object-oriented software metrics to software fault content and fault proneness. Assuming that the relationship can be described as a generalized linear model, we derive parametric functional forms for the target node conditional distributions in the BN. These functional forms are shown to be able to represent linear, Poisson, and binomial logistic regression. The models are empirically evaluated using a public domain data set from a software subsystem. The results show that our approach produces statistically significant estimations and that our overall modeling method performs no worse than existing techniques.\\\",2007,1,,90.0\\n31,30,Transparent combination of expert and measurement data for defect prediction: an industrial case study,\\\"Defining strategies on how to perform quality assurance (QA) and how to control such activities is a challenging task for organizations developing or maintaining software and software-intensive systems. Planning and adjusting QA activities could benefit from accurate estimations of the expected defect content of relevant artifacts and the effectiveness of important quality assurance activities. Combining expert opinion with commonly available measurement data in a hybrid way promises to overcome the weaknesses of purely data-driven or purely expert-based estimation methods. This article presents a case study of the hybrid estimation method HyDEEP for estimating defect content and QA effectiveness in the telecommunication domain. The specific focus of this case study is the use of the method for gaining quantitative predictions. This aspect has not been empirically analyzed in previous work. Among other things, the results show that for defect content estimation, the method performs significantly better statistically than purely data-based methods, with a relative error of 0.3 on average (MMRE).\\\",2010,1,,102.0\\n28,27,Predicting fault prone modules by the Dempster-Shafer belief networks,\\\"This paper describes a novel methodology for predicting fault prone modules. The methodology is based on Dempster-Shafer (D-S) belief networks. Our approach consists of three steps: first, building the D-S network by the induction algorithm; second, selecting the predictors (attributes) by the logistic procedure; third, feeding the predictors describing the modules of the current project into the inducted D-S network and identifying fault prone modules. We applied this methodology to a NASA dataset. The prediction accuracy of our methodology is higher than that achieved by logistic regression or discriminant analysis on the same dataset.\\\",2003,1,,106.0\\n11,10,Software Fault Prediction using Language Processing,\\\"Accurate prediction of faulty modules reduces the cost of software development and evolution. Two case studies with a language-processing based fault prediction measure are presented. The measure, refereed to as a QALP score, makes use of techniques from information retrieval to judge software quality. The QALP score has been shown to correlate with human judgements of software quality. The two case studies consider the measure's application to fault prediction using two programs (one open source, one proprietary). Linear mixed-effects regression models are used to identify relationships between defects and QALP score. Results, while complex, show that little correlation exists in the first case study, while statistically significant correlations exists in the second. In this second study the QALP score is helpful in predicting faults in modules (files) with its usefulness growing as module size increases.\\\",2007,1,,113.0\\n8,7,Evaluating Defect Prediction Models for a Large Evolving Software System (updated),\\\"A plethora of defect prediction models has been proposed and empirically evaluated, often using standard classification performance measures. In this paper, we explore defect prediction models for a large, multi-release software system from the telecommunications domain. A history of roughly 3 years is analyzed to extract process and static code metrics that are used to build several defect prediction models with random forests. The performance of the resulting models is comparable to previously published work. Furthermore, we develop a new evaluation measure based on the comparison to an optimal model.\\\",2009,1,,121.0\\n21,20,Predictive data mining model for software bug estimation using average weighted similarity,\\\"Software bug estimation is a very essential activity for effective and proper software project planning. All the software bug related data are kept in software bug repositories. Software bug (defect) repositories contains lot of useful information related to the development of a project. Data mining techniques can be applied on these repositories to discover useful interesting patterns. In this paper a prediction data mining technique is proposed to predict the software bug estimation from a software bug repository. A two step prediction model is proposed In the first step bug for which estimation is required, its summary and description is matched against the summary and description of bugs available in bug repositories. A weighted similarity model is suggested to match the summary and description for a pair of software bugs. In the second step the fix duration of all the similar bugs are calculated and stored and its average is calculated, which indicates the predicted estimation of a bug. The proposed model is implemented using open source technologies and is explained with the help of illustrative example.\\\",2010,1,,122.0\\n29,28,Building a genetically engineerable evolvable program (GEEP) using breadth-based explicit knowledge for predicting software defects,\\\"There has been extensive research in the area of data mining over the last decade, but relatively little research in algorithmic mining. Some researchers shun the idea of incorporating explicit knowledge with a Genetic Program environment. At best, very domain specific knowledge is hard wired into the GP modeling process. This work proposes a new approach called the Genetically Engineerable Evolvable Program (GEEP). In this approach, explicit knowledge is made available to the GP. It is considered breadth-based, in that all pieces of knowledge are independent of each other. Several experiments are performed on a NASA-based data set using established equations from other researchers in order to predict software defects. All results are statistically validated.\\\",2004,1,,123.0\\n35,34,Merits of using repository metrics in defect prediction for open source projects (updated),Many corporate code developers are the beta testers of open source software. They continue testing until they are sure that they have a stable version to build their code on. In this respect defect predictors play a critical role to identify defective parts of the software. Performance of a defect predictor is determined by correctly finding defective parts of the software without giving any false alarms. Having high false alarms means testers/developers would inspect bug free code unnecessarily. Therefore in this research we focused on decreasing the false alarm rates by using repository metrics. We conducted experiments on the data sets of Eclipse project. Our results showed that repository metrics decreased the false alarm rates on the average to 23% from 32% corresponding up to 907 less files to inspect.,2009,1,,127.0\\n22,21,A Comparative Study of Ensemble Feature Selection Techniques for Software Defect Prediction,\\\"Feature selection has become the essential step in many data mining applications. Using a single feature subset selection method may generate local optima. Ensembles of feature selection methods attempt to combine multiple feature selection methods instead of using a single one. We present a comprehensive empirical study examining 17 different ensembles of feature ranking techniques (rankers) including six commonly-used feature ranking techniques, the signal-to-noise filter technique, and 11 threshold-based feature ranking techniques. This study utilized 16 real-world software measurement data sets of different sizes and built 13,600 classification models. Experimental results indicate that ensembles of very few rankers are very effective and even better than ensembles of many or all rankers.\\\",2010,1,,134.0\\n23,22,Developing fault predictors for evolving software systems,\\\"Over the past several years, we have been developing methods of predicting the fault content of software systems based on measured characteristics of their structural evolution. In previous work, we have shown there is a significant linear relationship between code churn, a synthesized metric, and the rate at which faults are inserted into the system in terms of number of faults per unit change in code churn. We have begun a new investigation of this relationship with a flight software technology development effort at the jet propulsion laboratory (JPL) and have progressed in resolving the limitations of the earlier work in two distinct steps. First, we have developed a standard for the enumeration of faults. Second, we have developed a practical framework for automating the measurement of these faults. we analyze the measurements of structural evolution and fault counts obtained from the JPL flight software technology development effort. Our results indicate that the measures of structural attributes of the evolving software system are suitable for forming predictors of the number of faults inserted into software modules during their development. The new fault standard also ensures that the model so developed has greater predictive validity.\\\",2003,1,,136.0\\n4,3,A Rough Set Model for Software Defect Prediction,High assurance software requires extensive and expensive assessment. Many software organizations frequently do not allocate enough resources for software quality. We research the defect detectors focusing on the data sets of software defect prediction. A rough set model is presented to deal with the attributes of data sets of software defect prediction in this paper. Appling this model to the most famous public domain data set created by the NASA's metrics data program shows its splendid performance.,2008,1,,138.0\\n18,17,A practical method for the software fault-prediction,\\\"In the paper, a novel machine learning method, SimBoost, is proposed to handle the software fault-prediction problem when highly skewed datasets are used. Although the method, proved by empirical results, can make the datasets much more balanced, the accuracy of the prediction is still not satisfactory. Therefore, a fuzzy-based representation of the software module fault state has been presented instead of the original faulty/non-faulty one. Several experiments were conducted using datasets from NASA Metrics Data Program. The discussion of the results of experiments is provided.\\\",2007,1,,145.0\\n15,14,Predicting defects in SAP Java code: An experience report (updated),\\\"Which components of a large software system are the most defect-prone? In a study on a large SAP Java system, we evaluated and compared a number of defect predictors, based on code features such as complexity metrics, static error detectors, change frequency, or component imports, thus replicating a number of earlier case studies in an industrial context. We found the overall predictive power to be lower than expected; still, the resulting regression models successfully predicted 50-60% of the 20% most defect-prone components.\\\",2009,1,,160.0\\n30,29,Applying Novel Resampling Strategies To Software Defect Prediction,\\\"Due to the tremendous complexity and sophistication of software, improving software reliability is an enormously difficult task. We study the software defect prediction problem, which focuses on predicting which modules will experience a failure during operation. Numerous studies have applied machine learning to software defect prediction; however, skewness in defect-prediction datasets usually undermines the learning algorithms. The resulting classifiers will often never predict the faulty minority class. This problem is well known in machine learning and is often referred to as learning from unbalanced datasets. We examine stratification, a widely used technique for learning unbalanced data that has received little attention in software defect prediction. Our experiments are focused on the SMOTE technique, which is a method of over-sampling minority-class examples. Our goal is to determine if SMOTE can improve recognition of defect-prone modules, and at what cost. Our experiments demonstrate that after SMOTE resampling, we have a more balanced classification. We found an improvement of at least 23% in the average geometric mean classification accuracy on four benchmark datasets.\\\",2007,1,,167.0\\n6,5,Reducing Features to Improve Bug Prediction (updated),\\\"Recently, machine learning classifiers have emerged as a way to predict the existence of a bug in a change made to a source code file. The classifier is first trained on software history data, and then used to predict bugs. Two drawbacks of existing classifier-based bug prediction are potentially insufficient accuracy for practical use, and use of a large number of features. These large numbers of features adversely impact scalability and accuracy of the approach. This paper proposes a feature selection technique applicable to classification-based bug prediction. This technique is applied to predict bugs in software changes, and performance of Naive Bayes and Support Vector Machine (SVM) classifiers is characterized.\\\",2009,1,,173.0\\n25,24,Estimating software fault-proneness for tuning testing activities (updated),\\\"The article investigates whether a correlation exists between the fault-proneness of software and the measurable attributes of the code (i.e. the static metrics) and of the testing (i.e. the dynamic metrics). The article also studies how to use such data for tuning the testing process. The goal is not to find a general solution to the problem (a solution may not even exist), but to investigate the scope of specific solutions, i.e., to what extent homogeneity of the development process, organization, environment and application domain allows data computed on past projects to be projected onto new projects. A suitable variety of case studies is selected to investigate a methodology applicable to classes of homogeneous products, rather than investigating if a specific solution exists for few cases.\\\",2000,1,,185.0\\n26,25,The Application of Gray-Prediction Theory in the Software Defects Management (updated),\\\"Software defects are the parts of software products that software development company have to face. How to deal with them suitably is very important for software company's survival. This article will use the collecting data of software defects. Then, according to GM (1, 1), which is the core theory of the gray-prediction, establish the prediction model. Finally, we gain the prediction values. The results show that software company can improve software quality, control development process and allocate resources effectively.\\\",2009,1,,250.0\\n12,11,Visualization of test information to assist fault localization (updated),\\\"One of the most expensive and time-consuming components of the debugging process is locating the errors or faults. To locate faults, developers must identify statements involved in failures and select suspicious statements that might contain faults. The paper presents a technique that uses visualization to assist with these tasks. The technique uses color to visually map the participation of each program statement in the outcome of the execution of the program with a test suite, consisting of both passed and failed test cases. Based on this visual mapping, a user can inspect the statements in the program, identify statements involved in failures, and locate potentially faulty statements. The paper also describes a prototype tool that implements our technique along with a set of empirical studies that use the tool for evaluation of the technique. The empirical studies show that, for the subject we studied, the technique can be effective in helping a user locate faults in a 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\"C:\\\\APS2SQLDW\\\\Output\\\\4_CreateAPSExportScriptSQLDWImportScript\\\\ImportSQLDW\\\\adventure_works\\\\\\\",\\\"adw_pb\\\"\\n\\\"1\\\",\\\"adventure_works\\\",\\\"C:\\\\APS2SQLDW\\\\Output\\\\4_CreateAPSExportScriptSQLDWImportScript\\\\ExportAPS\\\\adventure_works\\\\\\\",\\\"pb_DatesAndTime\\\",\\\"pb\\\",\\\"DatesAndTime\\\",\\\"EXTM_adw_pb\\\",\\\"DatesAndTime\\\",\\\"AZURE_BLOB_STORAGE_PRD\\\",\\\"DelimitedNoDateZIP\\\",\\\"/migration/testrun/adventure_works/pb_DatesAndTime\\\",\\\"C:\\\\APS2SQLDW\\\\Output\\\\4_CreateAPSExportScriptSQLDWImportScript\\\\ImportSQLDW\\\\adventure_works\\\\\\\",\\\"adw_pb\\\"\\n\\\"1\\\",\\\"adventure_works\\\",\\\"C:\\\\APS2SQLDW\\\\Output\\\\4_CreateAPSExportScriptSQLDWImportScript\\\\ExportAPS\\\\adventure_works\\\\\\\",\\\"pb_EmptyAndNulls\\\",\\\"pb\\\",\\\"EmptyAndNulls\\\",\\\"EXTM_adw_pb\\\",\\\"EmptyAndNulls\\\",\\\"AZURE_BLOB_STORAGE_PRD\\\",\\\"DelimitedNoDateZIP\\\",\\\"/migration/testrun/adventure_works/pb_EmptyAndNulls\\\",\\\"C:\\\\APS2SQLDW\\\\Output\\\\4_CreateAPSExportScriptSQLDWImportScript\\\\ImportSQLDW\\\\adventure_works\\\\\\\",\\\"adw_pb\\\"\\n\\\"1\\\",\\\"adventure_works\\\",\\\"C:\\\\APS2SQLDW\\\\Output\\\\4_CreateAPSExportScriptSQLDWImportScript\\\\ExportAPS\\\\adventure_works\\\\\\\",\\\"pb_LineFeedInside\\\",\\\"pb\\\",\\\"LineFeedInside\\\",\\\"EXTM_adw_pb\\\",\\\"LineFeedInside\\\",\\\"AZURE_BLOB_STORAGE_PRD\\\",\\\"DelimitedNoDateZIP\\\",\\\"/migration/testrun/adventure_works/pb_LineFeedInside\\\",\\\"C:\\\\APS2SQLDW\\\\Output\\\\4_CreateAPSExportScriptSQLDWImportScript\\\\ImportSQLDW\\\\adventure_works\\\\\\\",\\\"adw_pb\\\"\\n\\\"1\\\",\\\"adventure_works\\\",\\\"C:\\\\APS2SQLDW\\\\Output\\\\4_CreateAPSExportScriptSQLDWImportScript\\\\ExportAPS\\\\adventure_works\\\\\\\",\\\"pb_StringDelimiterInside\\\",\\\"pb\\\",\\\"StringDelimiterInside\\\",\\\"EXTM_adw_pb\\\",\\\"StringDelimiterInside\\\",\\\"AZURE_BLOB_STORAGE_PRD\\\",\\\"DelimitedNoDateZIP\\\",\\\"/migration/testrun/adventure_works/pb_StringDelimiterInside\\\",\\\"C:\\\\APS2SQLDW\\\\Output\\\\4_CreateAPSExportScriptSQLDWImportScript\\\\ImportSQLDW\\\\adventure_works\\\\\\\",\\\"adw_pb\\\"\\n\\\"1\\\",\\\"adventure_works\\\",\\\"C:\\\\APS2SQLDW\\\\Output\\\\4_CreateAPSExportScriptSQLDWImportScript\\\\ExportAPS\\\\adventure_works\\\\\\\",\\\"testSchema_DimAccount\\\",\\\"testSchema\\\",\\\"DimAccount\\\",\\\"EXTM_adw_testSchema\\\",\\\"DimAccount\\\",\\\"AZURE_BLOB_STORAGE_PRD\\\",\\\"DelimitedNoDateZIP\\\",\\\"/migration/testrun/adventure_works/testSchema_DimAccount\\\",\\\"C:\\\\APS2SQLDW\\\\Output\\\\4_CreateAPSExportScriptSQLDWImportScript\\\\ImportSQLDW\\\\adventure_works\\\\\\\",\\\"adw_testSchema\\\"\\n\\\"1\\\",\\\"adventure_works\\\",\\\"C:\\\\APS2SQLDW\\\\Output\\\\4_CreateAPSExportScriptSQLDWImportScript\\\\ExportAPS\\\\adventure_works\\\\\\\",\\\"testSchema_DimCustomer\\\",\\\"testSchema\\\",\\\"DimCustomer\\\",\\\"EXTM_adw_testSchema\\\",\\\"DimCustomer\\\",\\\"AZURE_BLOB_STORAGE_PRD\\\",\\\"DelimitedNoDateZIP\\\",\\\"/migration/testrun/adventure_works/testSchema_DimCustomer\\\",\\\"C:\\\\APS2SQLDW\\\\Output\\\\4_CreateAPSExportScriptSQLDWImportScript\\\\ImportSQLDW\\\\adventure_works\\\\\\\",\\\"adw_testSchema\\\"\\n\\\"1\\\",\\\"adventure_works\\\",\\\"C:\\\\APS2SQLDW\\\\Output\\\\4_CreateAPSExportScriptSQLDWImportScript\\\\ExportAPS\\\\adventure_works\\\\\\\",\\\"testSchema_TblIndexTwo\\\",\\\"testSchema\\\",\\\"TblIndexTwo\\\",\\\"EXTM_adw_testSchema\\\",\\\"TblIndexTwo\\\",\\\"AZURE_BLOB_STORAGE_PRD\\\",\\\"DelimitedNoDateZIP\\\",\\\"/migration/testrun/adventure_works/testSchema_TblIndexTwo\\\",\\\"C:\\\\APS2SQLDW\\\\Output\\\\4_CreateAPSExportScriptSQLDWImportScript\\\\ImportSQLDW\\\\adventure_works\\\\\\\",\\\"adw_testSchema\\\"\\n\\\"1\\\",\\\"adventure_works\\\",\\\"C:\\\\APS2SQLDW\\\\Output\\\\4_CreateAPSExportScriptSQLDWImportScript\\\\ExportAPS\\\\adventure_works\\\\\\\",\\\"testSchema_TblIndex\\\",\\\"testSchema\\\",\\\"TblIndex\\\",\\\"EXTM_adw_testSchema\\\",\\\"TblIndex\\\",\\\"AZURE_BLOB_STORAGE_PRD\\\",\\\"DelimitedNoDateZIP\\\",\\\"/migration/testrun/adventure_works/testSchema_TblIndex\\\",\\\"C:\\\\APS2SQLDW\\\\Output\\\\4_CreateAPSExportScriptSQLDWImportScript\\\\ImportSQLDW\\\\adventure_works\\\\\\\",\\\"adw_testSchema\\\"\\n\\\"1\\\",\\\"adventure_works\\\",\\\"C:\\\\APS2SQLDW\\\\Output\\\\4_CreateAPSExportScriptSQLDWImportScript\\\\ExportAPS\\\\adventure_works\\\\\\\",\\\"testSchema_TblStatsTwoIndex\\\",\\\"testSchema\\\",\\\"TblStatsTwoIndex\\\",\\\"EXTM_adw_testSchema\\\",\\\"TblStatsTwoIndex\\\",\\\"AZURE_BLOB_STORAGE_PRD\\\",\\\"DelimitedNoDateZIP\\\",\\\"/migration/testrun/adventure_works/testSchema_TblStatsTwoIndex\\\",\\\"C:\\\\APS2SQLDW\\\\Output\\\\4_CreateAPSExportScriptSQLDWImportScript\\\\ImportSQLDW\\\\adventure_works\\\\\\\",\\\"adw_testSchema\\\"\\n\\\"1\\\",\\\"adventure_works\\\",\\\"C:\\\\APS2SQLDW\\\\Output\\\\4_CreateAPSExportScriptSQLDWImportScript\\\\ExportAPS\\\\adventure_works\\\\\\\",\\\"testSchema_TblStatsTwo\\\",\\\"testSchema\\\",\\\"TblStatsTwo\\\",\\\"EXTM_adw_testSchema\\\",\\\"TblStatsTwo\\\",\\\"AZURE_BLOB_STORAGE_PRD\\\",\\\"DelimitedNoDateZIP\\\",\\\"/migration/testrun/adventure_works/testSchema_TblStatsTwo\\\",\\\"C:\\\\APS2SQLDW\\\\Output\\\\4_CreateAPSExportScriptSQLDWImportScript\\\\ImportSQLDW\\\\adventure_works\\\\\\\",\\\"adw_testSchema\\\"\\n\\n\\nClass,FXY,enElementName,BUFR_Unit,BUFR_Scale,BUFR_ReferenceValue,BUFR_DataWidth_Bits\\n1, 1102,\\\"NATIONAL AWS NUMBER\\\",NUMERIC,0,0,20\\n1, 1192,\\\"MODEL VERSION NUMBER\\\",CODE TABLE 001192,0,0,8\\n1, 1193,\\\"SIGMA_0 SIMULATION METHOD\\\",CODE TABLE 1193,0,0,4\\n1, 1194,\\\"CARRIER BALLOON/AIRCRAFT IDENTIFIER\\\",CCITTIA5,0,0,72\\n1, 1195,\\\"MOBIL LAND STATION IDENTIFIER\\\",CCITTIA5,0,0,72\\n1, 1196,\\\"CONSTANT LEVEL BALLOON IDENTIFIER\\\",CCITTIA5,0,0,72\\n1, 1197,\\\"RTP - PLATFORM TYPE\\\",CODE TABLE 1197,0,0,10\\n1, 1198,\\\"ITP - DECK ID\\\",CODE TABLE 1198,0,0,10\\n1, 1199,\\\"DUP - DUPLICATE STATUS\\\",CODE TABLE 1199,0,0,4\\n1, 1201,\\\"GENERATING APPLICATION\\\",CODE TABLE 1201,0,0,8\\n1, 1205,\\\"SATELLITE IDENTIFIER\\\",CODE TABLE 1205,0,0,10\\n1, 1208,\\\"VELOCITY OF PLATFORM, X\\\",M/S,5,-1073741824,31\\n1, 1209,\\\"VELOCITY OF PLATFORM, Y\\\",M/S,5,-1073741824,31\\n1, 1210,\\\"VELOCITY OF PLATFORM, Z\\\",M/S,5,-1073741824,31\\n2, 2192,\\\"SAR AZIMUTH ANGLE\\\",DEGREE,0,0,9\\n2, 2193,\\\"1D VAR SATELLITE CHANNEL(S) USED\\\",FLAG TABLE 2193,0,0,28\\n2, 2194,\\\"CONSTANT LEVEL BALLOON TYPE\\\",CODE TABLE 2194,0,0,4\\n2, 2195,\\\"TYPE OF SATELLITE INSTRUMENTATION\\\",CODE TABLE 2195,0,0,4\\n2, 2196,\\\"SATELLITE CLASSIFICATION\\\",CODE TABLE 2196,0,0,9\\n2, 2197,\\\"SATELLITE CHANNEL CENTRE FREQUENCY\\\",Hz,-8,0,26\\n2, 2198,\\\"SATELLITE CHANNEL BAND WIDTH\\\",Hz,-8,0,26\\n2, 2199,\\\"INTEGRATED MEAN HUMIDITY COMPUTATIONAL METHOD\\\",CODE TABLE 2199,0,0,4\\n2, 2201,\\\"SIMULATED SATELLITE INSTRUMENT\\\",FLAG TABLE 2201,0,0,4\\n2, 2202,\\\"SIMULATED DATA PROCESSING TECHNIQUE USED\\\",FLAG TABLE 2202,0,0,4\\n2, 2220,\\\"DATA PRODUCER\\\",CODE TABLE 2220,0,0,9\\n2, 2221,\\\"SEGMENT SIZE AT NADIR IN X DIRECTION\\\",M,0,0,18\\n2, 2222,\\\"SEGMENT SIZE AT NADIR IN Y DIRECTION\\\",M,0,0,18\\n2, 2223,\\\"TOVS/ATOVS/AVHRR CHANNEL NUMBER\\\",CODE TABLE 2223,0,0,6\\n2, 2231,\\\"HEIGHT ASSIGNMENT METHOD\\\",CODE TABLE 2231,0,0,4\\n2, 2232,\\\"TRACER CORRELATION METHOD\\\",CODE TABLE 2232,0,0,3\\n2, 2240,\\\"TYPE OF TERMODYNAMIC SENSING\\\",CODE TABLE 2240,0,0,8\\n2, 2241,\\\"TYPE OF ROCKET MOTOR\\\",CODE TABLE 2241,0,0,3\\n2, 2242,\\\"TYPE OF WIND SENSING EQUIPMENT\\\",CODE TABLE 2242,0,0,8\\n2, 2243,\\\"TERMODYNAMIC CORRECTION TECHNIQUE\\\",CODE TABLE 2243,0,0,3\\n2, 2244,\\\"WIND CORRECTION TECHNIQUE\\\",CODE TABLE 2244,0,0,3\\n2, 2245,\\\"METHOD OF REDUCING OF DATA\\\",CODE TABLE 2245,0,0,4\\n2, 2251,\\\"RADIANCE COMPUTATIONAL METHOD\\\",CODE TABLE 2251,0,0,4\\n2, 2252,\\\"SATELLITE INSTRUMENT DATA USED IN PROCESSING\\\",FLAG TABLE 2252,0,0,31\\n2, 2253,\\\"HUMIDITY COMPUTATIONAL METHOD\\\",CODE TABLE 2253,0,0,8\\n2, 2254,\\\"RADIANCE TYPE\\\",CODE TABLE 2254,0,0,4\\n5, 5193,\\\"ALONG TRACK ROW NUMBER AT 50 KM\\\",NUMERIC,0,0,10\\n5, 5194,\\\"ALONG TRACK ROW NUMBER AT 25 KM\\\",NUMERIC,0,0,11\\n5, 5195,\\\"ENSEMBLE MEMBER NUMBER\\\",NUMERIC,0,0,7\\n5, 5217,\\\"LOCATION OF PLATFORM, X\\\",M,2,-1073741824,31\\n5, 5232,\\\"DIRECTION (SPECTRAL)\\\",DEGREE,2,0,16\\n6, 6193,\\\"CROSS TRACK CELL NUMBER AT 50 KM\\\",NUMERIC,0,0,6\\n6, 6194,\\\"CROSS TRACK CELL NUMBER AT 25 KM\\\",NUMERIC,0,0,7\\n6, 6217,\\\"LOCATION OF PLATFORM, Y\\\",M,2,-1073741824,31\\n6, 6232,\\\"WAVENUMBER (SPECTRAL)\\\",RADS/M,5,0,13\\n7, 7217,\\\"LOCATION OF PLATFORM, Z\\\",M,2,-1073741824,31\\n8, 8193,\\\"TIME QUALIFIER\\\",CODE TABLE 8193,0,0,6\\n8, 8194,\\\"TOVS/ATOVS PRODUCT QUALIFIER\\\",CODE TABLE 8194,0,0,4\\n8, 8195,\\\"DATA TYPE\\\",CODE TABLE 8195,0,0,7\\n8, 8200,\\\"NUMBER OF OBSERVATIONS\\\",NUMERIC,0,0,8\\n8, 8222,\\\"GENERATOR SIGNIFICANCE\\\",CODE TABLE 8222,0,0,4\\n8, 8223,\\\"LAND/ICE SURFACE FLAG\\\",FLAG TABLE 8223,0,0,7\\n8, 8224,\\\"LAND/SEA FRACTION\\\",NUMERIC,3,0,10\\n8, 8225,\\\"GHRSST SURFACE TYPE\\\",FLAG TABLE 8225,0,0,5\\n10,10195,\\\"HEIGHT(HIGH ACCURACY)\\\",M,1,-4096,20\\n10,10196,\\\"SOLAR ZENITH ANGLE\\\",DEGREE,2,-9000,15\\n10,10197,\\\"ANEMOMETER HEIGHT\\\",M,0,0,9\\n11,11192,\\\"U - COMPONENT AT 10 M\\\",M/S,1,-4096,13\\n11,11193,\\\"V - COMPONENT AT 10 M\\\",M/S,1,-4096,13\\n11,11194,\\\"W - COMPONENT AT 10 M\\\",M/S,1,-4096,13\\n11,11195,\\\"STEADINESS OF WIND\\\",%,0,0,7\\n11,11196,\\\"FRICTION VELOCITY\\\",M/S,5,0,19\\n11,11201,\\\"HORIZONTAL LINE OF SIGHT COMPONENT\\\",M/S,1,-4096,13\\n11,11210,\\\"1D VAR WIND SPEED RETREIVED ERRO(S)\\\",M/S,2,0,12\\n11,11211,\\\"WIND SPEED INDEPENDENT ESTIMATE OF ERROR(S)\\\",M/S,2,0,12\\n11,11220,\\\"FORMAL UNCERTAINTY IN WIND SPEED\\\",M/S,2,0,12\\n11,11221,\\\"FORMAL UNCERTAINTY IN WIND DIRECTION\\\",DEGREE TRUE,2,0,15\\n11,11230,\\\"MAXIMUM MEAN WIND SPEED\\\",M/S,1,-4096,13\\n11,11231,\\\"MEAN WIND SPEED\\\",M/S,1,-4096,13\\n11,11232,\\\"MINIMUM MEAN WIND SPEED\\\",M/S,1,-4096,13\\n11,11233,\\\"HIGHEST GUST DURING THE 10 MINUTE PERIOD PRECEDING OBSERVATION\\\",M/S,1,-4096,13\\n12,12073,\\\"TEMPERATURE\\\",K,2,0,16\\n12,12193,\\\"COLDEST CLUSTER TEMPERATURE\\\",K,1,0,12\\n12,12194,\\\"RADIANCE\\\",W/M**2*STER*M**(-1),6,0,31\\n12,12195,\\\"SPECTRAL RADIANCE\\\",W/M**2*STER*M**(-1),10,0,31\\n12,12196,\\\"RADIANCE\\\",W/M**2*STER,3,0,16\\n12,12197,\\\"MAXIMUM TEMPERATURE AT 2M, PAST  3 HOURS\\\",K,1,0,12\\n12,12198,\\\"MINIMUM TEMPERATURE AT 2M, PAST  3 HOURS\\\",K,1,0,12\\n12,12199,\\\"MAXIMUM TEMPERATURE AT 2M, PAST  6 HOURS\\\",K,1,0,12\\n12,12200,\\\"MINIMUM TEMPERATURE AT 2M, PAST  6 HOURS\\\",K,1,0,12\\n13,13192,\\\"RELATIVE HUMIDITY AT 2 M\\\",%,0,0,8\\n13,13193,\\\"RELATIVE HUMIDITY\\\",%,0,0,8\\n13,13194,\\\"TOTAL COLUMN WATER\\\",KG/M**2,2,0,11\\n13,13195,\\\"RAIN RATE\\\",KG/M**2HOUR,0,0,5\\n13,13196,\\\"ANTECEDENT PRECIPITATION INDEX\\\",KG/M**2,0,0,7\\n13,13197,\\\"TOTAL COLUMN WATER VAPOUR\\\",KG/M**2,1,0,10\\n13,13198,\\\"RAIN FLAG\\\",CODE TABLE 13198,0,0,3\\n13,13199,\\\"SPECIFIC HUMIDITY AT 2 M\\\",KG/KG,5,0,14\\n13,13201,\\\"CLOUD LIQUID WATER\\\",KG/KG,7,0,14\\n13,13202,\\\"TYPE OF SURFACE\\\",CODE TABLE 13202,0,0,8\\n13,13203,\\\"1D VAR ESTIMATE OF RAIN RATE\\\",KG/M**2*HOUR,2,0,12\\n13,13204,\\\"SSMI INDEPENDENT ESTIMATE OF RAIN RATE\\\",KG/M**2*HOUR,2,0,12\\n13,13205,\\\"CLOUD LIQUID WATER PATH\\\",KG/M**2,4,0,14\\n13,13206,\\\"TOTAL PRECIPITATION ICE CONTENT\\\",KG/M**2,6,0,14\\n13,13207,\\\"TOTAL CLOUD LIQUID WATER\\\",KG/M**2,6,0,14\\n13,13208,\\\"SURFACE RAIN RATE ( INSTANTANEOUS )\\\",KG/M**2*S,5,0,17\\n13,13209,\\\"RAIN POSSIBILITY\\\",NUMERIC,0,-256,9\\n13,13210,\\\"1D VAR CLOUD LIQUID WATER PATH RETRIEVED ERROR(S)\\\",KG/M**2,4,0,14\\n13,13211,\\\"TOTAL PRECIPITABLE WATER INDIPENDENT ESTIMATE OF ERROR(S)\\\",KG/M**2,2,0,11\\n13,13212,\\\"CLOUD LIQUID WATER PATH INDIPENDENT ESTIMATE OF ERROR(S)\\\",KG/M**2,4,0,14\\n13,13230,\\\"CONVECTIVE PRECIPITATION\\\",KG/M**2,1,-1,14\\n13,13231,\\\"LARGE SCALE PRECIPITATION\\\",KG/M**2,1,-1,14\\n13,13240,\\\"AIR DENSITY\\\",KG/M**3,3,0,10\\n13,13241,\\\"CONVECTIVE AVAILABLE POTENTIAL ENERGY\\\",J/KG,1,0,17\\n14,14001,\\\"LONG-WAVE RADIATION, INTEGRATED OVER 24 HOURS\\\",J/M**2,-3,-2048,12\\n14,14002,\\\"LONG-WAVE RADIATION, INTEGRATED OVER PERIOD SPECIFIED\\\",J/M**2,-3,-2048,12\\n14,14003,\\\"SHORT-WAVE RADIATION, INTEGRATED OVER 24 HOURS\\\",J/M**2,-3,-2048,12\\n14,14004,\\\"SHORT-WAVE RADIATION, INTEGRATED OVER PERIOD SPECIFIED\\\",J/M**2,-3,-2048,12\\n14,14011,\\\"NET LONG-WAVE RADIATION, INTEGRATED OVER 24 HOURS\\\",J/M**2,-3,-2048,12\\n14,14012,\\\"NET LONG-WAVE RADIATION, INTEGRATED OVER PERIOD SPECIFIED\\\",J/M**2,-3,-2048,12\\n14,14013,\\\"NET SHORT-WAVE RADIATION, INTEGRATED OVER 24 HOURS\\\",J/M**2,-3,-2048,12\\n14,14014,\\\"NET SHORT-WAVE RADIATION, INTEGRATED OVER PERIOD SPECIFIED\\\",J/M**2,-3,-2048,12\\n14,14017,\\\"INSTANTANEOUS LONG-WAVE RADIATION (SEE NOTE 6)\\\",W/M**2,-3,-2048,12\\n14,14018,\\\"INSTANTANEOUS SHORT-WAVE RADIATION (SEE NOTE 6)\\\",W/M**2,-3,-2048,12\\n14,14028,\\\"GLOBAL SOLAR RADIATION (HIGH ACCURACY), INTEGRATED OVER PERIOD S\\\",J/M**2,-2,0,16\\n14,14029,\\\"DIFFUSE SOLAR RADIATION (HIGH ACCURACY), INTEGRATED OVER PERIOD\\\",J/M**2,-2,0,16\\n14,14030,\\\"DIRECT SOLAR RADIATION (HIGH ACCURACY), INTEGRATED OVER PERIOD S\\\",J/M**2,-2,0,16\\n14,14061,\\\"(VAL) INSTANTANEOUS LONG-WAVE RADIATION\\\",W/M**2,0,-512,10\\n14,14062,\\\"(VAL) INSTANTANEOUS SHORT-WAVE RADIATION\\\",W/M**2,0,-2048,12\\n15,15202,\\\"INTEGRATED ELECTRON DENSITY\\\",1/M**2,3,13000,12\\n15,15231,\\\"ATMOSPHERIC PATH DELAY IN SATELLITE SIGNAL\\\",M,4,0,15\\n20,20192,\\\"SPECIAL PHENOMENA\\\",CODE TABLE  20192,0,0,14\\n20,20193,\\\"CLOUD AMOUNT IN SEGMENT\\\",%,0,0,7\\n20,20194,\\\"AMOUNT OF SEGMENT CLOUD FREE\\\",%,0,0,7\\n20,20215,\\\"PRESSURE AT THE BASE OF CLOUD\\\",PA,-1,0,14\\n20,20249,\\\"SEA-ICE FRACTION\\\",NUMERIC,2,0,7\\n20,20250,\\\"CALCULATED SURFACE TYPE\\\",CODE TABLE 20250,0,0,5\\n20,20251,\\\"ICE AGE\\\",CODE TABLE 20251,0,0,3\\n20,20252,\\\"ICE EDGE\\\",CODE TABLE 20252,0,0,3\\n20,20253,\\\"SURFACE TYPE\\\",CODE TABLE 20253,0,0,3\\n20,20254,\\\"ICE CONCENTRATION\\\",%,0,0,7\\n21,21192,\\\"RADAR BACK SCATTER\\\",dB,2,-5000,13\\n21,21193,\\\"NOISE FIGURE\\\",%,0,0,7\\n21,21194,\\\"BACKGROUND NOISE LEVEL\\\",NUMERIC,0,0,8\\n21,21195,\\\"MISSING PACKET COUNTER\\\",NUMERIC,0,-127,8\\n21,21196,\\\"UWA PRODUCT CONFIDENCE\\\",FLAG TABLE 21196,0,0,12\\n21,21197,\\\"UWI PRODUCT CONFIDENCE\\\",FLAG TABLE 21197,0,0,12\\n21,21198,\\\"URA PRODUCT CONFIDENCE\\\",FLAG TABLE 21198,0,0,8\\n21,21199,\\\"UAT PRODUCT CONFIDENCE\\\",FLAG TABLE 21199,0,0,7\\n21,21200,\\\"MWI PRODUCT CONFIDENCE\\\",FLAG TABLE 21200,0,0,15\\n21,21201,\\\"PEAKINESS\\\",NUMERIC,0,0,16\\n21,21202,\\\"ALTIMETER CALIBRATION STATUS\\\",FLAG TABLE 21202,0,0,4\\n21,21203,\\\"ALTIMETER INSTRUMENT MODE\\\",FLAG TABLE 21203,0,0,9\\n21,21204,\\\"MULTI/SINGLE VIEW DIFFERENCE\\\",K,2,-512,10\\n21,21205,\\\"SPECTRAL INTENSITY\\\",NUMERIC,0,0,8\\n21,21206,\\\"REPRESENTATION OF INTENSITY\\\",CODE TABLE 21206,0,0,3\\n21,21207,\\\"ALTITUDE CORRECTION (IONOSPHERE)\\\",M,3,0,14\\n21,21208,\\\"ALTITUDE CORRECTION (DRY TROPOSPHERE)\\\",M,3,0,9\\n21,21209,\\\"LTITUDE CORRECTION (WET TROPOSPHERE)\\\",M,3,2000,10\\n21,21210,\\\"ALTITUDE CORRECTION (CALIBRATION CONSTANT)\\\",M,3,0,11\\n21,21211,\\\"OPEN LOOP CORRECTION (HTL)\\\",M,3,0,10\\n21,21212,\\\"OPEN LOOP CORRECTION (AGC)\\\",dB,3,-3000,14\\n21,21213,\\\"AMBIGUITY REMOVAL CONFIDENCE\\\",%,0,0,7\\n21,21214,\\\"UAT QUALITY SUMMARY\\\",CODE TABLE 21214,0,0,3\\n21,21215,\\\"UAT ACROSS-TRACK BAND NO.\\\",NUMERIC,0,0,4\\n21,21222,\\\"DOPPLER SPECTRUM 0 TH MOMENT (AMPLITUDE)\\\",dB,0,0,7\\n21,21225,\\\"PRESCAT PRODUCT CONFIDENCE\\\",FLAG TABLE 21225,0,0,6\\n21,21226,\\\"BACKSCATER DISTANCE\\\",NUMERIC,1,-4096,13\\n21,21230,\\\"NUMBER OF VECTOR AMBIGUITIES\\\",NUMERIC,0,0,3\\n21,21231,\\\"INDEX OF SELECTED WIND VECTOR\\\",NUMERIC,0,0,3\\n21,21232,\\\"TOTAL NMBER OF SIGMA-0 MEASUREMENTS\\\",NUMERIC,0,0,5\\n21,21233,\\\"NUMBER OF SIGMA-0 USABLE FOR WIND\\\",NUMERIC,0,0,5\\n21,21234,\\\"LIKELIHOOD COMPUTED FOR SOLUTION\\\",NUMERIC,1,-10000,14\\n21,21235,\\\"WIND VECTOR CELL QUALITY FLAG\\\",FLAG TABLE 21235,0,0,3\\n21,21236,\\\"NUMBER OF FORE-BEAM SIGMA-0\\\",NUMERIC,1,0,6\\n21,21237,\\\"NUMBER OF MID-BEAM V-POL SIGMA-0\\\",NUMERIC,1,0,6\\n21,21238,\\\"NUMBER OF MID-BEAM H-POL SIGMA-0\\\",NUMERIC,1,0,6\\n21,21239,\\\"NUMBER OF AFT-BEAM SIGMA-0\\\",NUMERIC,1,0,6\\n21,21240,\\\"NORMALIZED RADAR CROSS SECTION\\\",NUMERIC,2,-10000,14\\n21,21241,\\\"Kp VARIANCE COEFFICIENT (ALPHA)\\\",NUMERIC,5,0,14\\n21,21242,\\\"Kp VARIANCE COEFFICIENT (BETHA)\\\",NUMERIC,6,0,16\\n21,21243,\\\"Kp VARIANCE COEFFICIENT (GAMMA)\\\",NUMERIC,6,0,16\\n21,21244,\\\"SIGMA-0 QUALITY FLAG\\\",FLAG TABLE 21244,0,0,15\\n22,22039,\\\"METEOROLOGICAL RESIDUAL TIDAL ELEVATION (SURGE OR OFFSET)\\\",M,3,-5000,12\\n22,22192,\\\"SPECTRAL PERIOD\\\",S,2,0,13\\n22,22193,\\\"MEAN WAVENUMBER\\\",1/M,5,0,15\\n22,22194,\\\"PEAK WAVENUMBER\\\",1/M,5,0,15\\n22,22195,\\\"MEAN WAVE PROPAGATION DIRECTION\\\",DEGREE,1,0,13\\n22,22196,\\\"PEAK WAVE PROPAGATION DIRECTION\\\",DEGREE,1,0,13\\n22,22197,\\\"DIRECTION SPREAD\\\",DEGREE,1,0,13\\n22,22198,\\\"VARIANCE SPECTRAL DENSITY\\\",M**2*S/RAD,4,0,18\\n22,22199,\\\"CORRELATION COEFF OF SIMULATED FG AND OBSERVED SAR SPECTRUM\\\",NUMERIC,4,-10000,15\\n22,22200,\\\"CORRELATION COEFF OF SIMULATED BF AND OBSERVED SAR SPECTRUM\\\",NUMERIC,4,-10000,15\\n22,22201,\\\"CORRELATION COEFF OF OCEAN WAVE FG AND EXTRACTED WAVE SPECTRUM\\\",NUMERIC,4,-10000,15\\n22,22202,\\\"ERROR BETWEEN FIRST GUESS AND OBSERVED SAR\\\",NUMERIC,5,0,21\\n22,22203,\\\"ERROR BETWEEN SIMULATED AND OBSERVED SAR\\\",NUMERIC,5,0,21\\n22,22204,\\\"MEAN PERIOD OF WAVES\\\",SECOND,2,0,13\\n22,22205,\\\"SPECTRAL DENSITY\\\",M**2*S/RAD,4,0,25\\n22,22206,\\\"PEAK PERIOD OF WAVES\\\",SECOND,2,0,13\\n22,22207,\\\"MEAN WAVE PERIOD\\\",S,1,0,10\\n22,22208,\\\"PEAK PERIOD OF 1D SPECTRA\\\",S,1,0,10\\n22,22209,\\\"COEFICIENT OF DRAG WITH WAVES\\\",NUMERIC,6,0,13\\n22,22210,\\\"MEAN SQUARE SLOPE OF WAVES\\\",NUMERIC,4,-10000,14\\n22,22211,\\\"COEFICIENT OF DRAG WITH WAVES\\\",NUMERIC,6,0,17\\n22,22243,\\\"STANDARD DEVIATION SIGNIFICANT WAVE HEIGHT\\\",M,2,0,10\\n25,25193,\\\"ATTENUATION CORRECTION ON SIGMA0\\\",dB,3,0,14\\n25,25194,\\\"MAJOR FRAME COUNT\\\",NUMERIC,0,0,4\\n25,25197,\\\"ANTENNA CORRECTIONS VERSION NUMBER\\\",NUMERIC,0,0,5\\n25,25198,\\\"LOG (TEMP-RAD CENTRAL WAVE NUMBER)\\\",1/M,8,0,30\\n25,25199,\\\"BANDWIDTH CORRECTION COEFFICIENT 1\\\",NUMERIC,4,-10000,15\\n25,25200,\\\"BANDWIDTH CORRECTION COEFFICIENT 2\\\",NUMERIC,5,0,17\\n25,25201,\\\"ALBEDO-RAD SOLAR FILTERED IRRADIANCE\\\",NUMERIC,4,0,24\\n25,25202,\\\"ALBEDO-RAD EQUIVALENT FILTER WIDTH\\\",NUMERIC,10,0,14\\n25,25203,\\\"SCAN LINE STATUS FLAGS FOR ATOVS\\\",FLAG TABLE 25203,0,0,31\\n25,25204,\\\"SCAN LINE QUALITY FLAGS FOR ATOVS\\\",FLAG TABLE 25204,0,0,31\\n25,25205,\\\"CHANNEL QUALITY FLAGS FOR ATOVS\\\",FLAG TABLE 25205,0,0,31\\n25,25206,\\\"FOV QUALITY FLAGS FOR ATOVS\\\",FLAG TABLE 25206,0,0,31\\n26,26193,\\\"YEAR\\\",YEAR,0,0,12\\n26,26194,\\\"MONTH\\\",MONTH,0,0,4\\n26,26195,\\\"DAY\\\",DAY,0,0,6\\n26,26196,\\\"HOUR\\\",HOUR,0,0,5\\n26,26197,\\\"MINUTE\\\",MINUTE,0,0,6\\n26,26198,\\\"SECOND\\\",SECOND,0,0,6\\n26,26200,\\\"LOCATION WITHIN ASSIMILATION WINDOW IN TIME\\\",NUMERIC,6,0,20\\n26,26201,\\\"HOURS INCLUDED\\\",FLAG TABLE 26201,0,0,26\\n27,27193,\\\"SOLAR AZIMUTH\\\",DEGREE TRUE,2,0,16\\n30,30193,\\\"POSITION NUMBER ALONG SCAN\\\",NUMERIC,0,0,8\\n33,33066,\\\"SBUV TOTAL OZONE QUALITY\\\",CODE TABLE 33066,0,0,4\\n33,33067,\\\"SBUV PROFILE OZONE QUALITY\\\",CODE TABLE 33067,0,0,4\\n33,33193,\\\"DATA QUALITY 3 BIT CODE\\\",CODE TABLE 33193,0,0,3\\n33,33194,\\\"DATA QUALITY 2 BIT CODE\\\",CODE TABLE 33194,0,0,2\\n33,33195,\\\"ECMWF SAR QC INDICATOR\\\",CODE TABLE 33195,0,0,5\\n33,33196,\\\"ECMWF WAM QC INDICATOR\\\",CODE TABLE 33196,0,0,2\\n33,33197,\\\"ECMWF SAR INVERSION QC INDICATOR\\\",CODE TABLE 33197,0,0,3\\n33,33198,\\\"MINIMUM COST\\\",NUMERIC,4,0,14\\n33,33199,\\\"1D VAR TOTAL PRECIPITABLE WATER RETRIEVED ERROR(S)\\\",KG/M**2,2,0,11\\n33,33200,\\\"ANALYSIS REPORT EVENTS\\\",FLAG TABLE 33200,0,0,31\\n33,33201,\\\"ANALYSIS REPORT STATUS EVENT\\\",FLAG TABLE 33201,0,0,13\\n33,33202,\\\"ANALYSIS DATUM EVENT FLAGS (1)\\\",FLAG TABLE 33202,0,0,31\\n33,33203,\\\"ANALYSIS DATUM EVENT FLAGS (2)\\\",FLAG TABLE 33203,0,0,11\\n33,33204,\\\"ANALYSIS DATUM STATUS FLAGS\\\",FLAG TABLE 33204,0,0,21\\n33,33205,\\\"VARIATIONAL ANALYSIS BLACK LIST FLAG\\\",CODE TABLE 33205,0,0,4\\n33,33206,\\\"VARIATIONAL ANALYSIS QUALITY CONTROL FLAG\\\",CODE TABLE 33206,0,0,4\\n33,33207,\\\"VARIATIONAL ANALYSIS DEPARTURE FLAG\\\",CODE TABLE 33207,0,0,4\\n33,33208,\\\"VARIATIONAL ANALYSIS FIRST QUESS CHECK FLAG\\\",CODE TABLE 33208,0,0,4\\n33,33209,\\\"VARIATIONAL ANALYSIS FINAL FLAG\\\",CODE TABLE 33209,0,0,4\\n33,33210,\\\"INCREMENTAL VARIATIONAL ANALYSIS UPDATE NUMBER\\\",NUMERIC,0,0,7\\n33,33211,\\\"MINIMISATION SIMULATION NUMBER\\\",NUMERIC,0,0,10\\n33,33212,\\\"1D VAR ITERATION NUMBER\\\",NUMERIC,0,0,10\\n33,33213,\\\"1D VAR RADIANCE COST\\\",NUMERIC,1,-1000,11\\n33,33214,\\\"1D VAR ERROR(S)\\\",FLAG TABLE 33214,0,0,11\\n33,33215,\\\"DIRECTIONAL SKILL\\\",NUMERIC,1,-4096,13\\n33,33216,\\\"1D VAR SURFACE TYPE QUALITY CONTROL\\\",CODE TABLE 33216,0,0,3\\n33,33217,\\\"1D VAR FAILURE INDICATOR\\\",CODE TABLE 33217,0,0,2\\n33,33218,\\\"1D VAR ESTIMATE OF SCATTERING\\\",NUMERIC,2,0,12\\n33,33219,\\\"SSMI INDIPENDENT SCATTERING INDEX\\\",NUMERIC,2,-50000,16\\n33,33220,\\\"VARIATIONAL ANALYSIS REPORT EVENTS (1)\\\",FLAG TABLE 33220,0,0,31\\n33,33221,\\\"VARIATIONAL ANALYSIS SYNOP EVENTS (2)\\\",FLAG TABLE 33221,0,0,31\\n33,33222,\\\"VARIATIONAL ANALYSIS AIREP EVENTS (2)\\\",FLAG TABLE 33222,0,0,31\\n33,33223,\\\"VARIATIONAL ANALYSIS SATOB EVENTS (2)\\\",FLAG TABLE 33223,0,0,31\\n33,33224,\\\"VARIATIONAL ANALYSIS DRIBU EVENTS (2)\\\",FLAG TABLE 33224,0,0,31\\n33,33225,\\\"VARIATIONAL ANALYSIS TEMP EVENTS (2)\\\",FLAG TABLE 33225,0,0,31\\n33,33226,\\\"VARIATIONAL ANALYSIS PILOT EVENTS (2)\\\",FLAG TABLE 33226,0,0,31\\n33,33227,\\\"VARIATIONAL ANALYSIS SATEM/TOVS EVENTS (2)\\\",FLAG TABLE 33227,0,0,31\\n33,33228,\\\"VARIATIONAL ANALYSIS PAOB EVENTS (2)\\\",FLAG TABLE 33228,0,0,31\\n33,33229,\\\"VARIATIONAL ANALYSIS SCATTEROMETER EVENTS (2)\\\",FLAG TABLE 33229,0,0,31\\n33,33230,\\\"VARIATIONAL ANALYSIS RAW RADIANCES EVENTS (2)\\\",FLAG TABLE 33230,0,0,31\\n33,33231,\\\"PRESAT SUMMARY FLAGS\\\",FLAG TABLE 33231,0,0,6\\n33,33232,\\\"REPORT BLACK LIST EVENTS\\\",FLAG TABLE 33232,0,0,31\\n33,33233,\\\"VARIATIONAL ANALYSIS REPORT STATUS\\\",FLAG TABLE 33233,0,0,31\\n33,33234,\\\"VARIATIONAL ANALYSIS DATUM STATUS\\\",FLAG TABLE 33234,0,0,31\\n33,33236,\\\"VARIATIONAL ANALYSIS DATUM EVENTS (1)\\\",FLAG TABLE 33236,0,0,31\\n33,33237,\\\"VARIATIONAL ANALYSIS SYNOP DATUM EVENTS (2)\\\",FLAG TABLE 33237,0,0,31\\n33,33238,\\\"VARIATIONAL ANALYSIS AIREP DATUM EVENTS (2)\\\",FLAG TABLE 33238,0,0,31\\n33,33239,\\\"VARIATIONAL ANALYSIS SATOB DATUM EVENTS (2)\\\",FLAG TABLE 33239,0,0,31\\n33,33240,\\\"VARIATIONAL ANALYSIS DRIBU DATUM EVENTS (2)\\\",FLAG TABLE 33240,0,0,31\\n33,33241,\\\"GROSS ERROR PROBABILITY\\\",NUMERIC,3,0,10\\n33,33242,\\\"GROSS ERROR INDICATOR\\\",CODE TABLE 33242,0,0,2\\n33,33243,\\\"VARIATIONAL ANALYSIS TEMP DATUM EVENTS (2)\\\",FLAG TABLE 33243,0,0,31\\n33,33244,\\\"VARIATIONAL ANALYSIS PILOT DATUM EVENTS (2)\\\",FLAG TABLE 33244,0,0,31\\n33,33245,\\\"VARIATIONAL ANALYSIS SATEM/TOVS DATUM EVENTS (2)\\\",FLAG TABLE 33245,0,0,31\\n33,33246,\\\"VARIATIONAL ANALYSIS PAOB DATUM EVENTS (2)\\\",FLAG TABLE 33246,0,0,31\\n33,33247,\\\"VARIATIONAL ANALYSIS SCATTEROMETER DATUM EVENTS (2)\\\",FLAG TABLE 33247,0,0,31\\n33,33248,\\\"VARIATIONAL ANALYSIS RAW RADIANCES DATUM EVENTS (2)\\\",FLAG TABLE 33248,0,0,31\\n33,33249,\\\"DATUM BLACK LIST EVENTS\\\",FLAG TABLE 33249,0,0,31\\n33,33250,\\\"PROBABILITY OF GROSS ERROR\\\",NUMERIC,6,0,20\\n33,33251,\\\"RANGE OF POSSIBLE VALUES\\\",NUMERIC,2,0,14\\n33,33252,\\\"MANUAL-AUTOMATIC QUALITY CONTROL\\\",CODE TABLE 33252,0,0,4\\n33,33253,\\\"NOMINAL CONFIDENCE THRESHOLD\\\",%,0,0,7\\n33,33254,\\\"WIND CORRELATION METHOD\\\",FLAG TABLE 33254,0,0,20\\n49,49193,\\\"SAR INVERSION QC FLAGS\\\",FLAG TABLE 49193,0,0,15\\n49,49194,\\\"ALTIMETER WAVE HEIGHT QC FLAFS\\\",FLAG TABLE 49194,0,0,15\\n\\n\\nSystem,Type,Modulation,Data rate,Sidebands?,Ch. Bandwidth (KHz),Radio spectrum,Sound Codec,Digital subchannels,SFN,Metadata/RDS/RBDS\\nAM radio,Analog radio,Amplitude Modulation,N/A,?,18–20 kHz,148.5-283.5 kHz (Longwave) 510–1610 kHz (Europe) 510–1710 kHz (USA and Canada),N/A,N/A,No,None\\nMotorola C-QUAM,Analog radio (AM stereo),QAM,N/A,?,18–20 kHz,510–1610 kHz (Europe 510–1710 kHz (USA and Canada),N/A,N/A,No,None\\nDAB,Digital radio,OFDM (DQPSK),around 1000 kbit/s (4 channels up to 256 kbit/s),?,1500 kHz,\\\"VHF-High/174-240 MHz, L-band/1452-1492 MHz\\\",MPEG-Layer 2,\\\"Yes, typically 4-6 \\\"\\\"stations\\\"\\\" per channel\\\",Yes,Yes\\nDAB+,Digital radio,OFDM (DQPSK),up to 256 kbit/s,?,1500 kHz,\\\"VHF-High/174-240 MHz, L-band/1452-1492 MHz\\\",HE-AAC,No,Yes,Yes\\nDigital Radio Mondiale,Digital radio,COFDM (QAM),up to 72 kbit/s,?,\\\"4.5–5 kHz (hybrid mode), 9–10 kHz, 18-20 kHz\\\",\\\"510-1610 kHz (Europe), 510–1710 kHz (USA and Canada), SW, LW\\\",MPEG-4 HE-AAC/CELP/HVXC,\\\"Yes, via IBOC\\\",No?,Yes\\nFM radio,Analog radio,Frequency Modulation,N/A,?,200 kHz,\\\"87.5-108 MHz, 76-90 MHz (Japan), 65.8-74 MHz (USSR)\\\",N/A,N/A,None,Yes (depending on station)\\nHD Radio,Hybrid/Digital radio,COFDM-HDC (SBR),\\\"up to 60 kbit/s on AM, up to 300 kbit/s on FM\\\",?,\\\"20–30 kHz on AM band ±5 kHz (on adjacent channel), up to 400 kHz on FM band (2 full FM channels)\\\",\\\"510–1710 kHz, 87.5-108 MHz\\\",HDC,\\\"up to 7 (3 full-power, 4 low-power) subchannels (FM)\\\",No?,Yes\\n\\n\\nFXY,ElementName_en,CodeFigure,EntryName_en,EntryName_sub1_en,EntryName_sub2_en,Note_en,Status\\n21066,Wave scatterometer product confidence data,1,Processing equipment not working,,,N/A,Operational\\n21066,Wave scatterometer product confidence data,2,Equipment failed,,,N/A,Operational\\n21066,Wave scatterometer product confidence data,3,PRF code changed during image generation,,,N/A,Operational\\n21066,Wave scatterometer product confidence data,4,Sampling window changed during image generation,,,N/A,Operational\\n21066,Wave scatterometer product confidence data,5,Gain changed during image generation,,,N/A,Operational\\n21066,Wave scatterometer product confidence data,6,Chirp replica exceeds specified value,,,N/A,Operational\\n21066,Wave scatterometer product confidence data,7,Input data mean and standard deviation of in-phase and quadrature out of range,,,N/A,Operational\\n21066,Wave scatterometer product confidence data,8,Doppler centroid confidence > MMCC value,,,N/A,Operational\\n21066,Wave scatterometer product confidence data,9,Doppler centroid absolute value > PRF/2,,,N/A,Operational\\n21066,Wave scatterometer product confidence data,10,Doppler ambiguity confidence < MMCC value,,,N/A,Operational\\n21066,Wave scatterometer product confidence data,11,Output data mean and standard deviation =< MMCC value,,,N/A,Operational\\n21066,Wave scatterometer product confidence data,All 12,Missing value,,,N/A,Operational\\n21067,Wind product confidence data,1,No forebeam calculation,,,N/A,Operational\\n21067,Wind product confidence data,2,No midbeam calculation,,,N/A,Operational\\n21067,Wind product confidence data,3,No aftbeam calculation,,,N/A,Operational\\n21067,Wind product confidence data,4,Forebeam arcing detected,,,N/A,Operational\\n21067,Wind product confidence data,5,Midbeam arcing detected,,,N/A,Operational\\n21067,Wind product confidence data,6,Aftbeam arcing detected,,,N/A,Operational\\n21067,Wind product confidence data,7,Any beam noise content above or equal to threshold,,,N/A,Operational\\n21067,Wind product confidence data,8,Land (any land in cell footprint),,,N/A,Operational\\n21067,Wind product confidence data,9,Autonomous ambiguity removal not used,,,N/A,Operational\\n21067,Wind product confidence data,10,Meteorological background not used,,,N/A,Operational\\n21067,Wind product confidence data,11,Minimum residual exceeded threshold,,,N/A,Operational\\n21067,Wind product confidence data,12,Frame checksum error detected,,,N/A,Operational\\n21067,Wind product confidence data,All 13,Missing value,,,N/A,Operational\\n21068,Radar altimeter product confidence data,1,Standard deviation of wind speed outside MMCC limit,,,N/A,Operational\\n21068,Radar altimeter product confidence data,2,Standard deviation of significant wave height outside MMCC limit,,,N/A,Operational\\n21068,Radar altimeter product confidence data,3,Standard deviation of altitude outside MMCC limit,,,N/A,Operational\\n21068,Radar altimeter product confidence data,4,Mean peakiness outside MMCC limit,,,N/A,Operational\\n21068,Radar altimeter product confidence data,5,Frame checksum error detected,,,N/A,Operational\\n21068,Radar altimeter product confidence data,6,Height-time loop time constant correction not performed,,,N/A,Operational\\n21068,Radar altimeter product confidence data,7,Not enough measurements (N < 10),,,N/A,Operational\\n21068,Radar altimeter product confidence data,All 8,Missing value,,,N/A,Operational\\n21069,SST product confidence data,1,12.0 µm channel present in source data,,,N/A,Operational\\n21069,SST product confidence data,2,11.0 µm channel present in source data,,,N/A,Operational\\n21069,SST product confidence data,3,3.7 µm channel present in source data,,,N/A,Operational\\n21069,SST product confidence data,4,1.6 µm channel present in source data,,,N/A,Operational\\n21069,SST product confidence data,5,Cloud identification used 1.6 µm histogram reflectance cloud test,,,N/A,Operational\\n21069,SST product confidence data,6,1.6 µm histogram reflectance cloud test used dynamic threshold,,,N/A,Operational\\n21069,SST product confidence data,7,Sun glint detected by 1.6 µm reflectance cloud test,,,N/A,Operational\\n21069,SST product confidence data,8,3.7 µm channel used in sea-surface temperature retrieval,,,N/A,Operational\\n21069,SST product confidence data,9,Sea-surface temperature derivation used daytime data (night-time if zero),,,N/A,Operational\\n21069,SST product confidence data,All 10,Missing value,,,N/A,Operational\\n21070,SST product confidence data (SADIST-2),,1-9   Nadir-only view SST retrieval used 3.7 micron channel (one bit per 10-arcmin cell),,,N/A,Operational\\n21070,SST product confidence data (SADIST-2),1,Cell 1: nadir-only view SST used 3.7 micron channel,,,N/A,Operational\\n21070,SST product confidence data (SADIST-2),2,Cell 2: nadir-only view SST used 3.7 micron channel,,,N/A,Operational\\n21070,SST product confidence data (SADIST-2),3,Cell 3: nadir-only view SST used 3.7 micron channel,,,N/A,Operational\\n21070,SST product confidence data (SADIST-2),4,Cell 4: nadir-only view SST used 3.7 micron channel,,,N/A,Operational\\n21070,SST product confidence data (SADIST-2),5,Cell 5: nadir-only view SST used 3.7 micron channel,,,N/A,Operational\\n21070,SST product confidence data (SADIST-2),6,Cell 6: nadir-only view SST used 3.7 micron channel,,,N/A,Operational\\n21070,SST product confidence data (SADIST-2),7,Cell 7: nadir-only view SST used 3.7 micron channel,,,N/A,Operational\\n21070,SST product confidence data (SADIST-2),8,Cell 8: nadir-only view SST used 3.7 micron channel,,,N/A,Operational\\n21070,SST product confidence data (SADIST-2),9,Cell 9: nadir-only view SST used 3.7 micron channel,,,N/A,Operational\\n21070,SST product confidence data (SADIST-2),,10-18   Dual view SST retrieval used 3.7 micron channel (one bit per 10-arcmin cell),,,N/A,Operational\\n21070,SST product confidence data (SADIST-2),10,Cell 1: dual view SST used 3.7 micron channel,,,N/A,Operational\\n21070,SST product confidence data (SADIST-2),11,Cell 2: dual view SST used 3.7 micron channel,,,N/A,Operational\\n21070,SST product confidence data (SADIST-2),12,Cell 3: dual view SST used 3.7 micron channel,,,N/A,Operational\\n21070,SST product confidence data (SADIST-2),13,Cell 4: dual view SST used 3.7 micron channel,,,N/A,Operational\\n21070,SST product confidence data (SADIST-2),14,Cell 5: dual view SST used 3.7 micron channel,,,N/A,Operational\\n21070,SST product confidence data (SADIST-2),15,Cell 6: dual view SST used 3.7 micron channel,,,N/A,Operational\\n21070,SST product confidence data (SADIST-2),16,Cell 7: dual view SST used 3.7 micron channel,,,N/A,Operational\\n21070,SST product confidence data (SADIST-2),17,Cell 8: dual view SST used 3.7 micron channel,,,N/A,Operational\\n21070,SST product confidence data (SADIST-2),18,Cell 9: dual view SST used 3.7 micron channel,,,N/A,Operational\\n21070,SST product confidence data (SADIST-2),19,Nadir view contains day-time data (night if zero),,,N/A,Operational\\n21070,SST product confidence data (SADIST-2),20,Forward view contains day-time data (night if zero),,,N/A,Operational\\n21070,SST product confidence data (SADIST-2),21,Record contains contributions from instrument scans acquired when ERS platform not in yaw-steering mode,,,N/A,Operational\\n21070,SST product confidence data (SADIST-2),22,Record contains contributions from instrument scans for which product confidence data show quality is poor or unknown,,,N/A,Operational\\n21070,SST product confidence data (SADIST-2),All 23,Missing value,,,N/A,Operational\\n21072,Satellite altimeter calibration status,1,Height error correction applied instead of open loop calibration,,,N/A,Operational\\n21072,Satellite altimeter calibration status,2,Microwave sounder used for troposphere correction,,,N/A,Operational\\n21072,Satellite altimeter calibration status,3,AGC output correction applied instead of open loop calibration,,,N/A,Operational\\n21072,Satellite altimeter calibration status,All 4,Missing value,,,N/A,Operational\\n21073,Satellite altimeter instrument mode,1,Blank data record,,,N/A,Operational\\n21073,Satellite altimeter instrument mode,2,Test,,,N/A,Operational\\n21073,Satellite altimeter instrument mode,3,Calibration (closed loop),,,N/A,Operational\\n21073,Satellite altimeter instrument mode,4,BITE,,,N/A,Operational\\n21073,Satellite altimeter instrument mode,5,Acquisition on ice,,,N/A,Operational\\n21073,Satellite altimeter instrument mode,6,Acquisition on ocean,,,N/A,Operational\\n21073,Satellite altimeter instrument mode,7,Tracking on ice,,,N/A,Operational\\n21073,Satellite altimeter instrument mode,8,Tracking on ocean,,,N/A,Operational\\n21073,Satellite altimeter instrument mode,All 9,Missing value,,,N/A,Operational\\n21076,Representation of intensities,0,Linear,,,N/A,Operational\\n21076,Representation of intensities,1,Logarithmic (base e),,,N/A,Operational\\n21076,Representation of intensities,2,Logarithmic (base 10),,,N/A,Operational\\n21076,Representation of intensities,3-6,Reserved,,,N/A,Operational\\n21076,Representation of intensities,7,Missing value,,,N/A,Operational\\n21109,SEAWINDS wind vector cell quality,1,Not enough good sigma-0 available for wind retrieval,,,N/A,Operational\\n21109,SEAWINDS wind vector cell quality,2,Poor azimuth diversity among sigma-0 for wind retrieval,,,N/A,Operational\\n21109,SEAWINDS wind vector cell quality,3-7,Reserved,,,N/A,Operational\\n21109,SEAWINDS wind vector cell quality,8,Some portion of wind vector cell is over land,,,N/A,Operational\\n21109,SEAWINDS wind vector cell quality,9,Some portion of wind vector cell is over ice,,,N/A,Operational\\n21109,SEAWINDS wind vector cell quality,10,Wind retrieval not performed for wind vector cell,,,N/A,Operational\\n21109,SEAWINDS wind vector cell quality,11,Reported wind speed is greater than 30 m s-1,,,N/A,Operational\\n21109,SEAWINDS wind vector cell quality,12,Reported wind speed is less than or equal to 3 m s-1,,,N/A,Operational\\n21109,SEAWINDS wind vector cell quality,13-16,Reserved,,,N/A,Operational\\n21109,SEAWINDS wind vector cell quality,All 17,Missing value,,,N/A,Operational\\n21115,SEAWINDS sigma-0 quality,1,Sigma-0 measurement is not usable,,,N/A,Operational\\n21115,SEAWINDS sigma-0 quality,2,Signal to noise ratio is low,,,N/A,Operational\\n21115,SEAWINDS sigma-0 quality,3,Sigma-0 is negative,,,N/A,Operational\\n21115,SEAWINDS sigma-0 quality,4,Sigma-0 is outside of acceptable range,,,N/A,Operational\\n21115,SEAWINDS sigma-0 quality,5,Scatterometer pulse quality is not acceptable,,,N/A,Operational\\n21115,SEAWINDS sigma-0 quality,6,Sigma-0 cell location algorithm does not converge,,,N/A,Operational\\n21115,SEAWINDS sigma-0 quality,7,Frequency shift lies beyond the range of the x factor table,,,N/A,Operational\\n21115,SEAWINDS sigma-0 quality,8,Spacecraft temperature is beyond calibration coefficient range,,,N/A,Operational\\n21115,SEAWINDS sigma-0 quality,9,No applicable altitude records were found for this sigma-0,,,N/A,Operational\\n21115,SEAWINDS sigma-0 quality,10,Interpolated ephemeris data are not acceptable for this sigma-0,,,N/A,Operational\\n21115,SEAWINDS sigma-0 quality,11-16,Reserved,,,N/A,Operational\\n21115,SEAWINDS sigma-0 quality,All 17,Missing value,,,N/A,Operational\\n21116,SEAWINDS sigma-0 mode,1,Calibration/measurement pulse flag (1),,,N/A,Operational\\n21116,SEAWINDS sigma-0 mode,2,Calibration/measurement pulse flag (2),,,N/A,Operational\\n21116,SEAWINDS sigma-0 mode,3,Outer antenna beam,,,N/A,Operational\\n21116,SEAWINDS sigma-0 mode,4,Sigma-0 cell is aft of spacecraft,,,N/A,Operational\\n21116,SEAWINDS sigma-0 mode,5,Current mode (1),,,N/A,Operational\\n21116,SEAWINDS sigma-0 mode,6,Current mode (2),,,N/A,Operational\\n21116,SEAWINDS sigma-0 mode,7,Effective gate width - slice resolution (1),,,N/A,Operational\\n21116,SEAWINDS sigma-0 mode,8,Effective gate width - slice resolution (2),,,N/A,Operational\\n21116,SEAWINDS sigma-0 mode,9,Effective gate width - slice resolution (3),,,N/A,Operational\\n21116,SEAWINDS sigma-0 mode,10,Low resolution mode - whole pulse data,,,N/A,Operational\\n21116,SEAWINDS sigma-0 mode,11,Scatterometer electronic subsystem B,,,N/A,Operational\\n21116,SEAWINDS sigma-0 mode,12,Alternate spin rate - 19.8 rpm,,,N/A,Operational\\n21116,SEAWINDS sigma-0 mode,13,Receiver protection on,,,N/A,Operational\\n21116,SEAWINDS sigma-0 mode,14,Slices per composite flag (1),,,N/A,Operational\\n21116,SEAWINDS sigma-0 mode,15,Slices per composite flag (2),,,N/A,Operational\\n21116,SEAWINDS sigma-0 mode,16,Slices per composite flag (3),,,N/A,Operational\\n21116,SEAWINDS sigma-0 mode,All 17,Missing value,,,N/A,Operational\\n21119,Wind scatterometer geophysical model function,0,Reserved,,,N/A,Operational\\n21119,Wind scatterometer geophysical model function,1,SASS,,,N/A,Operational\\n21119,Wind scatterometer geophysical model function,2,SASS2,,,N/A,Operational\\n21119,Wind scatterometer geophysical model function,3,NSCAT0,,,N/A,Operational\\n21119,Wind scatterometer geophysical model function,4,NSCAT1,,,N/A,Operational\\n21119,Wind scatterometer geophysical model function,5,NSCAT2,,,N/A,Operational\\n21119,Wind scatterometer geophysical model function,6,QSCAT0,,,N/A,Operational\\n21119,Wind scatterometer geophysical model function,7,QSCAT1,,,N/A,Operational\\n21119,Wind scatterometer geophysical model function,8-30,Reserved,,,N/A,Operational\\n21119,Wind scatterometer geophysical model function,31,CMOD1,,,N/A,Operational\\n21119,Wind scatterometer geophysical model function,32,CMOD2,,,N/A,Operational\\n21119,Wind scatterometer geophysical model function,33,CMOD3,,,N/A,Operational\\n21119,Wind scatterometer geophysical model function,34,CMOD4,,,N/A,Operational\\n21119,Wind scatterometer geophysical model function,35,CMOD5,,,N/A,Operational\\n21119,Wind scatterometer geophysical model function,36-62,Reserved,,,N/A,Operational\\n21119,Wind scatterometer geophysical model function,63,Missing value,,,N/A,Operational\\n21144,Altimeter rain flag,1,Rain,,,N/A,Operational\\n21144,Altimeter rain flag,All 2,Missing value,,,N/A,Operational\\n21148,Trailing edge variation flag,1,Non short scale variation,,,N/A,Operational\\n21148,Trailing edge variation flag,2,Short scale variation,,,N/A,Operational\\n21148,Trailing edge variation flag,3-8,Reserved,,,N/A,Operational\\n21148,Trailing edge variation flag,All 9,Missing value,,,N/A,Operational\\n21150,Beam co-location,0,Data from single ground station (no co-location),,,N/A,Operational\\n21150,Beam co-location,1,Data from multiple ground station (co-located data),,,N/A,Operational\\n21150,Beam co-location,2,Reserved,,,N/A,Operational\\n21150,Beam co-location,3,Missing value,,,N/A,Operational\\n21155,Wind vector cell quality,1,Not enough good sigma-0 available for wind retrieval,,,N/A,Operational\\n21155,Wind vector cell quality,2,Poor azimuth diversity among sigma-0 for wind retrieval,,,N/A,Operational\\n21155,Wind vector cell quality,3,Any beam noise content above threshold,,,N/A,Operational\\n21155,Wind vector cell quality,4,Product monitoring not used,,,N/A,Operational\\n21155,Wind vector cell quality,5,Product monitoring flag,,,N/A,Operational\\n21155,Wind vector cell quality,6,KNMI quality control fails,,,N/A,Operational\\n21155,Wind vector cell quality,7,Variational quality control fails,,,N/A,Operational\\n21155,Wind vector cell quality,8,Some portion of wind vector cell is over land,,,N/A,Operational\\n21155,Wind vector cell quality,9,Some portion of wind vector cell is over ice,,,N/A,Operational\\n21155,Wind vector cell quality,10,Wind retrieval not performed for wind vector cell,,,N/A,Operational\\n21155,Wind vector cell quality,11,Reported wind speed is greater than 30 m/s,,,N/A,Operational\\n21155,Wind vector cell quality,12,Reported wind speed is less than or equal to 3 m/s,,,N/A,Operational\\n21155,Wind vector cell quality,13,Rain flag for the wind vector cell is not usable,,,N/A,Operational\\n21155,Wind vector cell quality,14,Rain flag algorithm detects rain,,,N/A,Operational\\n21155,Wind vector cell quality,15,No meteorological background used,,,N/A,Operational\\n21155,Wind vector cell quality,16,Data are redundant,,,N/A,Operational\\n21155,Wind vector cell quality,17-23,Reserved,,,N/A,Operational\\n21155,Wind vector cell quality,All 24,Missing value,,,N/A,Operational\\n21158,ASCAT Kp estimate quality,0,Acceptable,,,N/A,Operational\\n21158,ASCAT Kp estimate quality,1,Not acceptable,,,N/A,Operational\\n21158,ASCAT Kp estimate quality,2,Reserved,,,N/A,Operational\\n21158,ASCAT Kp estimate quality,3,Missing value,,,N/A,Operational\\n21159,ASCAT sigma-0 usability,0,Good,,,N/A,Operational\\n21159,ASCAT sigma-0 usability,1,Usable,,,N/A,Operational\\n21159,ASCAT sigma-0 usability,2,Bad,,,N/A,Operational\\n21159,ASCAT sigma-0 usability,3,Missing value,,,N/A,Operational\\n21169,Ice presence indicator,0,No ice present,,,N/A,Operational\\n21169,Ice presence indicator,1,Ice present,,,N/A,Operational\\n21169,Ice presence indicator,2,Reserved,,,N/A,Operational\\n21169,Ice presence indicator,3,Missing value,,,N/A,Operational\\n\\n\\nMIB-MODULE,MIB File,OID,Name,Recommended Action,Comments,Description,Trigger Description,Dependency,cleartime In Days\\nRoamware-CSVProcessor-V2-MIB,Roamware-CSVProcessor-V2-MIB,.1.3.6.1.4.1.11150.89.2.0.1,csvProcessorSysUp,Clear,,Indicates that the CSVProcessor is up and active.,Indicates that the CSVProcessor is up and active.,NONE,3d\\nRoamware-CSVProcessor-V2-MIB,Roamware-CSVProcessor-V2-MIB,.1.3.6.1.4.1.11150.89.2.0.2,csvProcessorSysDown,Major,,Indicates that the CSVProcessor is shutting down.,Indicates that the CSVProcessor is shutting down.,.1.3.6.1.4.1.11150.89.2.0.1,3d\\nRoamware-CSVProcessor-V2-MIB,Roamware-CSVProcessor-V2-MIB,.1.3.6.1.4.1.11150.89.2.0.3,csvProcessorDBConnStatus,Average,,Indicates the database connection status.,Indicates the database connection status.,NONE,3d\\nRoamware-CSVProcessor-V2-MIB,Roamware-CSVProcessor-V2-MIB,.1.3.6.1.4.1.11150.89.2.0.4,csvProcessorProcessingError,Major,,Indicates a processing error in CSVProcessor.,Indicates a processing error in CSVProcessor.,NONE,3d\\nRoamware-CSVProcessor-V2-MIB,Roamware-CSVProcessor-V2-MIB,.1.3.6.1.4.1.11150.89.2.0.5,csvProcessorFileRotateError,Major,,Indicates a problem with file rotation.,Indicates a problem with file rotation.,NONE,3d\\nRoamware-iMAS-V2-MIB,Roamware-iMAS-V2-MIB,.1.3.6.1.4.1.11150.115.5.0.1,imasSysUp,Clear,,Indicates that the iMAS instance is up and active.,Indicates that the iMAS instance is up and active.,NONE,3d\\nRoamware-iMAS-V2-MIB,Roamware-iMAS-V2-MIB,.1.3.6.1.4.1.11150.115.5.0.2,imasSysDown,Average,,Indicates that the iMAS instance is shutting down.,Indicates that the iMAS instance is shutting down.,.1.3.6.1.4.1.11150.115.5.0.1,3d\\nRoamware-iMAS-V2-MIB,Roamware-iMAS-V2-MIB,.1.3.6.1.4.1.11150.115.5.0.3,imasDBConn,Major,,Indicates abnormal condition with a database connection pool.,Indicates abnormal condition with a database connection pool.,NONE,3d\\nRoamware-iMAS-V2-MIB,Roamware-iMAS-V2-MIB,.1.3.6.1.4.1.11150.115.5.0.4,imasHeartBeat,Information,,Indicates a heartbeat to inform that the application is running normally.,Indicates a heartbeat to inform that the application is running normally.,NONE,3d\\nRoamware-iMAS-V2-MIB,Roamware-iMAS-V2-MIB,.1.3.6.1.4.1.11150.115.5.0.5,imasResync,Information,,Indicates start and end of traps resync activity.,Indicates start and end of traps resync activity.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.1,sdsSysUp,Clear,,Indicates that the sds instance is up and active.,Indicates that the sds instance is up and active.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.2,sdsSysDown,Major,,Indicates that the sds instance is shutting down.,Indicates that the sds instance is shutting down.,.1.3.6.1.4.1.11150.84.10.0.1,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.3,sdsTrapDBConnStatus,Average,,Indicates that connection to a database connection pool is up or down.,Indicates that connection to a database connection pool is up or down.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.4,sdsTrapIPCBConnStatus,Average,,Indicates that connection to an IPCB daemon is up or down.,Indicates that connection to an IPCB daemon is up or down.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.5,sdsTrapEventQueueStatus,Average,,Indicates that the event queue is above or below high/low water mark.,Indicates that the event queue is above or below high/low water mark.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.6,sdsTrapDBWStatus,Average,,Indicates that connection to a DB writer instance (TDR interface) is up or down.,Indicates that connection to a DB writer instance (TDR interface) is up or down.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.7,sdsTrapCGWStatus,Average,,Indicates that connection to a DB writer instance (Call Gateway) is up or down.,Indicates that connection to a DB writer instance (Call Gateway) is up or down.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.8,sdsTrapSMSCConnStatus,Average,,Indicates that connection to an SMSC connection pool is up or down.,Indicates that connection to an SMSC connection pool is up or down.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.9,sdsTrapDNISAllocFail,Major,,Indicates that allocation of a temporary DNIS mapping failed.,Indicates that allocation of a temporary DNIS mapping failed.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.10,sdsTrapDNISRemoveFail,Major,,Indicates that removal of a temporary DNIS mapping failed.,Indicates that removal of a temporary DNIS mapping failed.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.11,sdsTrapDNISInsertFail,Major,,Indicates that insertion of a temporary DNIS mapping failed.,Indicates that insertion of a temporary DNIS mapping failed.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.12,sdsTrapDNISLookupFail,Major,,Indicates that lookup of a temporary DNIS mapping failed.,Indicates that lookup of a temporary DNIS mapping failed.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.13,sdsTrapDNISPoolExhaust,Major,,Indicates that a named DNIS allocation pool is used up.,Indicates that a named DNIS allocation pool is used up.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.14,sdsCacheLoadingStatus,Average,,Indicates that loading of a Cache was a success or failure.,Indicates that loading of a Cache was a success or failure.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.15,sdsFileTransferError,Major,,Indicates a problem with file transfer.,Indicates a problem with file transfer.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.16,sdsFileRotateFail,Major,,Indicates a problem with file rotation.,Indicates a problem with file rotation.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.17,sdsFilePollFail,Major,,Indicates that a file poller task was aborted.,Indicates that a file poller task was aborted.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.18,sdsFileWriteFail,Major,,Indicates a failure to write to a file.,Indicates a failure to write to a file.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.19,sdsTrapRoleChange,Minor,,Indicates a change in the role of a service instance for a feature,Indicates a change in the role of a service instance for a feature,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.20,sdsTrapRecvdTCAPAbortExceeded,Average,,Indicates that Aborts are being received for a high percentage of transactions,Indicates that Aborts are being received for a high percentage of transactions,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.21,sdsTrapRecvdTCAPErrorExceeded,Average,,Indicates that Return Errors are being received for a high percentage of transactions,Indicates that Return Errors are being received for a high percentage of transactions,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.22,sdsTrapRecvdTCAPRejectExceeded,Average,,Indicates that Rejects are being received for a high percentage of transactions,Indicates that Rejects are being received for a high percentage of transactions,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.23,sdsTrapIPProbeStatus,Average,,Indicates that connection to an IP Probe instance is up or down.,Indicates that connection to an IP Probe instance is up or down.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.24,sdsTrapEODStatus,Average,,Indicates that SDS EOD execution has failed.,Indicates that SDS EOD execution has failed.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.25,sdsNetworkKPIStatus,Average,,Indicates that the status of a KPI for a network,Indicates that the status of a KPI for a network,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.26,sdsNodeKPIStatus,Average,,Indicates that the status of a KPI for a node,Indicates that the status of a KPI for a node,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.27,sdsNetworkKPIWatchStatus,Average,,Indicates that there has been no activity with respect to a KPI for a network,Indicates that there has been no activity with respect to a KPI for a network,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.28,sdsNodeKPIWatchStatus,Average,,Indicates that there has been no activity with respect to a KPI for a node,Indicates that there has been no activity with respect to a KPI for a node,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.29,sdsNetworkKPIDelta,Average,,EXPERIMENTAL - WILL CHANGE IN NEXT RELEASE:Indicates that the status of a KPI for a network,EXPERIMENTAL - WILL CHANGE IN NEXT RELEASE:Indicates that the status of a KPI for a network,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.30,sdsNodeKPIDelta,Average,,EXPERIMENTAL - WILL CHANGE IN NEXT RELEASE:Indicates that the status of a KPI for a node,EXPERIMENTAL - WILL CHANGE IN NEXT RELEASE:Indicates that the status of a KPI for a node,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.31,sdsTrapDBPollFail,Major,,Indicates that a database table poller task failed,Indicates that a database table poller task failed,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.32,sdsTrapOpenRateStatus,Average,,Indicates that connection to a OpenRate instance (Rating Engine interface) is up or down.,Indicates that connection to a OpenRate instance (Rating Engine interface) is up or down.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.34,sdsTrapResyncOp,Average,,Indicates that a trap resync operation is in progress.,Indicates that a trap resync operation is in progress.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.35,sdsTrapHeartbeat,Average,,Heartbeat trap to indicate that a process is alive (severity is always normal).,Heartbeat trap to indicate that a process is alive (severity is always normal).,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.36,sdsTrapExecFail,Major,,Indicates a failure in execution of some component.,Indicates a failure in execution of some component.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.37,sdsTrapChargingGatewayStatus,Average,,Indicates that connection to the charging gateway is up or down.,Indicates that connection to the charging gateway is up or down.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.38,sdsTrapDNISKPIThresholdCrossed,Average,,Indicates a DNIS KPI threshold breach.,Indicates a DNIS KPI threshold breach.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.39,sdsIPProbeRADIUSConnectionStatus,Average,,Indicates that connection to an IP Probe RADIUS instance is up or down.,Indicates that connection to an IP Probe RADIUS instance is up or down.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.40,sdsTrapLDAPConnStatus,Average,,Indicates that connection to a LDAP connection pool is up or down.,Indicates that connection to a LDAP connection pool is up or down.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.41,sdsTrapHTTPStatus,Average,,Indicates that connection to a HTTP is up or down.,Indicates that connection to a HTTP is up or down.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.42,sdsTrapDiameterPeerAddressStatus,Average,,Indicates that a particular address belonging to a Diameter peer is up or down.,Indicates that a particular address belonging to a Diameter peer is up or down.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.43,sdsTrapDiameterPeerStatus,Average,,Indicates that a Diameter peer is up or down.,Indicates that a Diameter peer is up or down.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.44,sdsTrapRPCStatus,Average,,Indicates that connection to a RPC module is up or down.,Indicates that connection to a RPC module is up or down.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.45,sdsTrapPassivePubClientStatus,Average,,Indicates that Roamware Passive Publisher's client application is disconnected or connected.,Indicates that Roamware Passive Publisher's client application is disconnected or connected.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.46,sdsFilePollNoFile,Average,,Indicates that a file poller did not find any files for processing for a configured number of sweeps.,Indicates that a file poller did not find any files for processing for a configured number of sweeps.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.47,sdsExportImportFailed,Average,,Indicates that export import utility got failed.,Indicates that export import utility got failed.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.48,sdsTrapTransportServerStatus,Average,,Indicates that Transport Server is disconnected or connected.,Indicates that Transport Server is disconnected or connected.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.49,sdsTrapDiaResponseSendTime,Average,,Indicates high response time for diamter requests made.,Indicates high response time for diamter requests made.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.50,sdsTrapDiaResponseReceiveTime,Average,,Indicates high response time for incomming diamter requests.,Indicates high response time for incomming diamter requests.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.51,sdsTrapDiaRecvdErrorExceeded,Average,,Indicates high incoming error for outgoing diameter request.,Indicates high incoming error for outgoing diameter request.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.52,sdsTrapDiaRecvdRequestDelta,Average,,Indicates fluctuation in incoming diameter request count.,Indicates fluctuation in incoming diameter request count.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.53,sdsTrapDiaSentRequestTimeout,Average,,Indicates high time out count for outgoing diameter requests.,Indicates high time out count for outgoing diameter requests.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.54,sdsTrapDiaSentRequestUnavailable,Average,,Indicates high unavailable count for outgoing diameter request.,Indicates high unavailable count for outgoing diameter request.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.55,sdsTrapDiaGlobalInPeerCongestion,Major,,Indicates Global Peer Congestion for Incoming Request.,Indicates Global Peer Congestion for Incoming Request.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.56,sdsTrapDiaGlobalInHostCongestion,Major,,Indicates Global Host Congestion for Incoming Request.,Indicates Global Host Congestion for Incoming Request.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.57,sdsTrapDiaInPeerCongestion,Major,,Indicates Peer Congestion for Incoming Request.,Indicates Peer Congestion for Incoming Request.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.58,sdsTrapDiaInHostCongestion,Major,,Indicates Host Congestion for Incoming Request.,Indicates Host Congestion for Incoming Request.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.59,sdsTrapDiaOutPeerCongestion,Major,,Indicates Peer Congestion for Outgoing Request.,Indicates Peer Congestion for Outgoing Request.,NONE,3d\\nRoamware-SDS2-V2-MIB,Roamware-SDS2-V2-MIB,.1.3.6.1.4.1.11150.84.10.0.60,sdsTrapDiaOutHostCongestion,Major,,Indicates Peer Congestion for Outgoing Request.,Indicates Peer Congestion for Outgoing Request.,NONE,3d\\nRoamware-SDS-V2-MIB,Roamware-SDS-V2-MIB,.1.3.6.1.4.1.11150.1.4.0.1,sdsSysNoResp,Average,,Indicates that a service is not responding to the system health monitor.,Indicates that a service is not responding to the system health monitor.,NONE,3d\\nRoamware-SDS-V2-MIB,Roamware-SDS-V2-MIB,.1.3.6.1.4.1.11150.1.4.0.2,sdsSysHeartbeat,Average,,Indicates a heartbeat to inform that the application is running normally.,Indicates a heartbeat to inform that the application is running normally.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.1,srsSysUp,Clear,,Indicates that the SRS system is up and active.,Indicates that the SRS system is up and active.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.2,srsSysDown,Major,,Indicates that the SRS system is shutting down.,Indicates that the SRS system is shutting down.,.1.3.6.1.4.1.11150.11.13.1,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.3,srsInitFailed,Major,,Indicates Initialization of SRS failed.,Indicates Initialization of SRS failed.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.4,srsRemoteSystemDown,Average,,Obsolete.,Obsolete.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.5,srsSQLExecution,Average,,Indicates that SQL statement execution take more time then the configured threshold value.,Indicates that SQL statement execution take more time then the configured threshold value.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.6,srsStaticGTMapRescan,Average,,Indicates that the rescan of Srs static GT Mapping cache has started/completed/failed.,Indicates that the rescan of Srs static GT Mapping cache has started/completed/failed.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.7,srsHubDataRescan,Average,,Indicates that the rescan of Srs Hub Data cache has started/completed/failed.,Indicates that the rescan of Srs Hub Data cache has started/completed/failed.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.8,srsIMSIMapRescan,Average,,Indicates that the rescan of Srs IMSI Mapping cache has started/completed/failed.,Indicates that the rescan of Srs IMSI Mapping cache has started/completed/failed.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.9,srsServDataRescan,Average,,Indicates that the rescan of Srs Service Data cache has started/completed/failed.,Indicates that the rescan of Srs Service Data cache has started/completed/failed.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.10,srsPartnerNWDetailsRescan,Average,,Indicates that the rescan of Srs Partner network details cache has started/completed/failed.,Indicates that the rescan of Srs Partner network details cache has started/completed/failed.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.11,srsIMSIRangeRescan,Average,,Indicates that the rescan of Srs IMSI Range cache has started/completed/failed.,Indicates that the rescan of Srs IMSI Range cache has started/completed/failed.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.12,srsNwMgmtRescan,Average,,Indicates that the rescan of Srs Network management cache has started/completed/failed.,Indicates that the rescan of Srs Network management cache has started/completed/failed.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.13,srsSubsBWListRescan,Average,,Indicates that the rescan of Srs subscriber black/white list cache has started/completed/failed.,Indicates that the rescan of Srs subscriber black/white list cache has started/completed/failed.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.14,srsSubsBWRangeRescan,Average,,Indicates that the rescan of Srs subscriber black/white range cache has started/completed/failed.,Indicates that the rescan of Srs subscriber black/white range cache has started/completed/failed.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.15,srsSysParamsCacheRescan,Average,,Indicates that the rescan of Srs system parameter cache has started/completed/failed.,Indicates that the rescan of Srs system parameter cache has started/completed/failed.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.16,srsMessagesDropped,Average,,Indicates that too many messages dropped or dropping of messages reduced.,Indicates that too many messages dropped or dropping of messages reduced.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.17,srsDBStatus,Major,,Indicates DataBase Connection Fails.,Indicates DataBase Connection Fails.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.18,srsPoolMappingRescan,Average,,Indicates that the rescan of Srs pool mapping cache has started/completed/failed.,Indicates that the rescan of Srs pool mapping cache has started/completed/failed.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.19,srsSponsorDataRescan,Average,,Indicates that the rescan of Srs sponsor data cache has started/completed/failed.,Indicates that the rescan of Srs sponsor data cache has started/completed/failed.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.20,srsUdtsReceived,Average,,Indicates that received UDTS messages is above high water mark or UDTS message count is reduced below low water mark.,Indicates that received UDTS messages is above high water mark or UDTS message count is reduced below low water mark.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.21,srsIncomingMSUDeviation,Average,,Indicates that Deviation of Incoming MSUs breached threshold\\\\within expected range\\\\raising severity or lowering severity.,Indicates that Deviation of Incoming MSUs breached threshold\\\\within expected range\\\\raising severity or lowering severity.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.22,srsOutgoingMSUDeviation,Average,,Indicates that Deviation of Outgoing MSUs breached threshold\\\\within expected range\\\\raising severity or lowering severity.,Indicates that Deviation of Outgoing MSUs breached threshold\\\\within expected range\\\\raising severity or lowering severity.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.23,srsAllianceDetailRescan,Average,,Indicates that the rescan of Alliance Details cache has started/completed/failed.,Indicates that the rescan of Alliance Details cache has started/completed/failed.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.24,srsSRISMRoutingDetailRescan,Average,,Indicates that the rescan of SRISM Routing Data cache has started/completed/failed.,Indicates that the rescan of SRISM Routing Data cache has started/completed/failed.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.50,srsLogLoaderUp,Clear,,Indicates that the SRS LogLoader is up and active.,Indicates that the SRS LogLoader is up and active.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.51,srsLogLoaderDown,Average,,Indicates that the SRS LogLoader is shutting down.,Indicates that the SRS LogLoader is shutting down.,.1.3.6.1.4.1.11150.11.13.50,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.52,srsllInitFailed,Major,,Indicates Initialization of SRS LogLoader failed.,Indicates Initialization of SRS LogLoader failed.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.53,srsllFileError,Major,,Indicates Invalid File Details.,Indicates Invalid File Details.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.54,srsllDBConFail,Major,,Indicates DataBase Connection Fails.,Indicates DataBase Connection Fails.,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.31,srsStaticProvReqUnsuccessAlarm,Average,,static Provisioning request has been processed unsuccessfully OR Count of static subscriber provisioning request processed unsuccessfully is down to acceptable limit,static Provisioning request has been processed unsuccessfully OR Count of static subscriber provisioning request processed unsuccessfully is down to acceptable limit,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.32,srsSubscriberDeProvReqUnsuccessAlarm,Average,,High Subscriber DeProvisioning request has been processed unsuccessfully OR Count of subscriber deprovisioning request processed unsuccessfully is down to acceptable limit,High Subscriber DeProvisioning request has been processed unsuccessfully OR Count of subscriber deprovisioning request processed unsuccessfully is down to acceptable limit,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.33,srsDynamicProvReqUnsuccessAlarm,Average,,High Dynamic Provisioning request has been processed unsuccessfully OR Count of dynamic subscriber provisioning request processed unsuccessfully is down to acceptable limit,High Dynamic Provisioning request has been processed unsuccessfully OR Count of dynamic subscriber provisioning request processed unsuccessfully is down to acceptable limit,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.34,srsHttpReqUnsuccessCountAlarm,Average,,High Location profile provisioning trigger are unsuccessful OR Count of unsuccessful location profile provisioning trigger is down to acceptable limit,High Location profile provisioning trigger are unsuccessful OR Count of unsuccessful location profile provisioning trigger is down to acceptable limit,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.35,srsProfProvReqUnsuccessAlarm,Average,,High Location profile activation trigger received are unsuccessful OR Count of unsuccessful location profile actiavtion trigger received is down to acceptable limit,High Location profile activation trigger received are unsuccessful OR Count of unsuccessful location profile actiavtion trigger received is down to acceptable limit,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.36,srsProfActReqUnsuccessAlarm,Average,,High Http requests sent to external interfaces are unsuccessful OR Count of unsuccessful http request sent to external interfaces is down to acceptable limit,High Http requests sent to external interfaces are unsuccessful OR Count of unsuccessful http request sent to external interfaces is down to acceptable limit,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.37,srsProfProvReqSentUnsuccessAlarm,Average,,High location profile activation trigger sent are unsuccessful OR Count of unsuccessful location profile actiavtion trigger sent is down to acceptable limit,High location profile activation trigger sent are unsuccessful OR Count of unsuccessful location profile actiavtion trigger sent is down to acceptable limit,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.38,srsProfChargingReqUnsuccessAlarm,Average,,High profile charging are unsuccessful OR Count of unsuccessful profile charging is down to acceptable limit,High profile charging are unsuccessful OR Count of unsuccessful profile charging is down to acceptable limit,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.61,srsLteCCRReqUnsuccessAlarm,Average,,Indicates that a very high count of CCR request has been processed unsuccessfully OR Count of CCR request processed unsuccessfully is down to acceptable limit,Indicates that a very high count of CCR request has been processed unsuccessfully OR Count of CCR request processed unsuccessfully is down to acceptable limit,NONE,3d\\nRoamware-srs-MIB,Roamware-srs-MIB,.1.3.6.1.4.1.11150.11.13.62,srsLteUlrReqUnsuccessAlarm,Average,,Indicates that a very high count of ULR request has been processed unsuccessfully OR Count of ULR request processed unsuccessfully is down to acceptable limit,Indicates that a very high count of ULR request has been processed unsuccessfully OR Count of ULR request processed unsuccessfully is down to acceptable limit,NONE,3d\\nRoamware-storeServer-V2-MIB,Roamware-storeServer-V2-MIB,.1.3.6.1.4.1.11150.88.4.0.1,storeServerSysUp,Clear,,Indicates that the Store Server is up and active.,Indicates that the Store Server is up and active.,NONE,3d\\nRoamware-storeServer-V2-MIB,Roamware-storeServer-V2-MIB,.1.3.6.1.4.1.11150.88.4.0.2,storeServerSysDown,Major,,Indicates that the Store Server is shutting down.,Indicates that the Store Server is shutting down.,.1.3.6.1.4.1.11150.88.4.0.1,3d\\nRoamware-storeServer-V2-MIB,Roamware-storeServer-V2-MIB,.1.3.6.1.4.1.11150.88.4.0.3,storeServerBusConnStatus,Average,,Indicates the change in availability status of message complex.,Indicates the change in availability status of message complex.,NONE,3d\\nRoamware-storeServer-V2-MIB,Roamware-storeServer-V2-MIB,.1.3.6.1.4.1.11150.88.4.0.4,storeServerPeerConnStatus,Average,,Indicates the change in peer connection status.,Indicates the change in peer connection status.,NONE,3d\\nRoamware-storeServer-V2-MIB,Roamware-storeServer-V2-MIB,.1.3.6.1.4.1.11150.88.4.0.5,storeServerTrapsResync,Average,,Indicates the start and end of a trap resync operation.,Indicates the start and end of a trap resync operation.,NONE,3d\\nRoamware-storeServer-V2-MIB,Roamware-storeServer-V2-MIB,.1.3.6.1.4.1.11150.88.4.0.6,storeServerHeartbeat,Average,,Sent periodically to indicate that Store Server is alive,Sent periodically to indicate that Store Server is alive,NONE,3d\\nRoamware-tcapServer-V2-MIB,Roamware-tcapServer-V2-MIB,.1.3.6.1.4.1.11150.83.3.0.1,tcapServerSysUp,Clear,,Indicates that the TCAP Server is up and active.,Indicates that the TCAP Server is up and active.,NONE,3d\\nRoamware-tcapServer-V2-MIB,Roamware-tcapServer-V2-MIB,.1.3.6.1.4.1.11150.83.3.0.2,tcapServerSysDown,Major,,Indicates that the TCAP Server is shutting down.,Indicates that the TCAP Server is shutting down.,.1.3.6.1.4.1.11150.83.3.0.1,3d\\nRoamware-tcapServer-V2-MIB,Roamware-tcapServer-V2-MIB,.1.3.6.1.4.1.11150.83.3.0.3,tcapServerDBConnStatus,Average,,Indicates the change in connection status of the database server.,Indicates the change in connection status of the database server.,NONE,3d\\nRoamware-tcapServer-V2-MIB,Roamware-tcapServer-V2-MIB,.1.3.6.1.4.1.11150.83.3.0.4,tcapServerBusConnStatus,Average,,Indicates the change in availability status of message complex.,Indicates the change in availability status of message complex.,NONE,3d\\nRoamware-tcapServer-V2-MIB,Roamware-tcapServer-V2-MIB,.1.3.6.1.4.1.11150.83.3.0.5,tcapServerDlgThresholdStatus,Average,,Deprecated - replaced by tcapServerNoDlgThresholdStatus,Deprecated - replaced by tcapServerNoDlgThresholdStatus,NONE,3d\\nRoamware-tcapServer-V2-MIB,Roamware-tcapServer-V2-MIB,.1.3.6.1.4.1.11150.83.3.0.6,tcapServerMsgQThresholdStatus,Average,,Indicates that the number of messages in the message queue has reached the threshold value.,Indicates that the number of messages in the message queue has reached the threshold value.,NONE,3d\\nRoamware-tcapServer-V2-MIB,Roamware-tcapServer-V2-MIB,.1.3.6.1.4.1.11150.83.3.0.7,tcapServerSS7ReadNullMsgStatus,Average,,Indicates whether SS7 card read on the given queue is failing.,Indicates whether SS7 card read on the given queue is failing.,NONE,3d\\nRoamware-tcapServer-V2-MIB,Roamware-tcapServer-V2-MIB,.1.3.6.1.4.1.11150.83.3.0.8,tcapServerEnDecodesThresholdStatus,Average,,Indicates the growth of encoding/decoding failures wrt incoming messages.,Indicates the growth of encoding/decoding failures wrt incoming messages.,NONE,3d\\nRoamware-tcapServer-V2-MIB,Roamware-tcapServer-V2-MIB,.1.3.6.1.4.1.11150.83.3.0.9,tcapServerDefaultActsThresholdStatus,Average,,Indicates the growth of default actions taken wrt incoming messages.,Indicates the growth of default actions taken wrt incoming messages.,NONE,3d\\nRoamware-tcapServer-V2-MIB,Roamware-tcapServer-V2-MIB,.1.3.6.1.4.1.11150.83.3.0.10,tcapServerTrapsResync,Average,,Indicates the start and end of a trap resync operation.,Indicates the start and end of a trap resync operation.,NONE,3d\\nRoamware-tcapServer-V2-MIB,Roamware-tcapServer-V2-MIB,.1.3.6.1.4.1.11150.83.3.0.11,tcapServerHeartbeat,Average,,Sent periodically to indicate that Tcap Server is alive,Sent periodically to indicate that Tcap Server is alive,NONE,3d\\nRoamware-tcapServer-V2-MIB,Roamware-tcapServer-V2-MIB,.1.3.6.1.4.1.11150.83.3.0.12,tcapServerNoDlgThresholdStatus,Average,,Indicates that there was no free dialog available for incoming transaction,Indicates that there was no free dialog available for incoming transaction,NONE,3d\\n\\n\\n,result,iterations,task,objective,learning_rate,num_leaves,max_depth,min_data_in_leaf,min_sum_hessian_in_leaf,lambda_l1,lambda_l2,scale_pos_weight,metric,verbose\\n0,0.7764371152699155,145,train,binary,0.1,90,8,20,0.001,0.0,0.0,1.0,auc,-1\\n1,0.7765434842218446,153,train,binary,0.1,100,8,20,0.001,0.0,0.0,1.0,auc,-1\\n2,0.776966620267646,136,train,binary,0.1,80,8,20,0.001,0.0,0.0,1.0,auc,-1\\n3,0.7771494649296997,149,train,binary,0.1,70,8,20,0.001,0.0,0.0,1.0,auc,-1\\n4,0.7779441848174502,124,train,binary,0.1,60,8,20,0.001,0.0,0.0,1.0,auc,-1\\n5,0.7784089535802293,127,train,binary,0.1,50,8,20,0.001,0.0,0.0,1.0,auc,-1\\n6,0.7785372041066632,158,train,binary,0.1,30,8,20,0.001,0.0,0.0,1.0,auc,-1\\n7,0.778576637337858,165,train,binary,0.1,40,8,20,0.001,0.0,0.0,1.0,auc,-1\\n8,0.7789852522477526,202,train,binary,0.1,20,8,20,0.001,0.0,0.0,1.0,auc,-1\\n9,0.7796084831250306,317,train,binary,0.1,10,8,20,0.001,0.0,0.0,1.0,auc,-1\\n10,0.7795244846494332,386,train,binary,0.1,10,9,20,0.001,0.0,0.0,1.0,auc,-1\\n11,0.7796084831250306,317,train,binary,0.1,10,8,20,0.001,0.0,0.0,1.0,auc,-1\\n12,0.779615474998218,325,train,binary,0.1,10,7,20,0.001,0.0,0.0,1.0,auc,-1\\n13,0.7800493438864382,348,train,binary,0.1,10,5,20,0.001,0.0,0.0,1.0,auc,-1\\n14,0.7801859523407335,492,train,binary,0.1,10,6,20,0.001,0.0,0.0,1.0,auc,-1\\n15,0.7812568549682106,447,train,binary,0.1,10,4,20,0.001,0.0,0.0,1.0,auc,-1\\n16,0.7823921678365732,691,train,binary,0.1,10,3,20,0.001,0.0,0.0,1.0,auc,-1\\n17,0.7819270038288205,590,train,binary,0.1,10,3,30,0.001,0.0,0.0,1.0,auc,-1\\n18,0.7821836347535414,631,train,binary,0.1,10,3,40,0.001,0.0,0.0,1.0,auc,-1\\n19,0.7821992978424561,735,train,binary,0.1,10,3,10,0.001,0.0,0.0,1.0,auc,-1\\n20,0.7823921678365732,691,train,binary,0.1,10,3,20,0.001,0.0,0.0,1.0,auc,-1\\n21,0.7824694704627405,649,train,binary,0.1,10,3,80,0.001,0.0,0.0,1.0,auc,-1\\n22,0.7825166343344707,622,train,binary,0.1,10,3,50,0.001,0.0,0.0,1.0,auc,-1\\n23,0.782523844136161,648,train,binary,0.1,10,3,70,0.001,0.0,0.0,1.0,auc,-1\\n24,0.7829117226704916,764,train,binary,0.1,10,3,60,0.001,0.0,0.0,1.0,auc,-1\\n25,0.7825098575516773,713,train,binary,0.1,10,3,60,0.001,0.4,0.0,1.0,auc,-1\\n26,0.7826800872683595,688,train,binary,0.1,10,3,60,0.001,0.3,0.0,1.0,auc,-1\\n27,0.7827520269747422,705,train,binary,0.1,10,3,60,0.001,0.1,0.0,1.0,auc,-1\\n28,0.7828428829125167,753,train,binary,0.1,10,3,60,0.001,0.6,0.0,1.0,auc,-1\\n29,0.7829117226704916,764,train,binary,0.1,10,3,60,0.001,0.0,0.0,1.0,auc,-1\\n30,0.7830893454599044,755,train,binary,0.1,10,3,60,0.001,0.2,0.0,1.0,auc,-1\\n31,0.7831635795821477,813,train,binary,0.1,10,3,60,0.001,0.7,0.0,1.0,auc,-1\\n32,0.7833461999096892,857,train,binary,0.1,10,3,60,0.001,0.5,0.0,1.0,auc,-1\\n33,0.7827046065366341,662,train,binary,0.1,10,3,60,0.001,0.5,0.4,1.0,auc,-1\\n34,0.7827949016518516,742,train,binary,0.1,10,3,60,0.001,0.5,0.3,1.0,auc,-1\\n35,0.7831178177891722,769,train,binary,0.1,10,3,60,0.001,0.5,0.2,1.0,auc,-1\\n36,0.7831384320464685,743,train,binary,0.1,10,3,60,0.001,0.5,0.6,1.0,auc,-1\\n37,0.7831567192157013,784,train,binary,0.1,10,3,60,0.001,0.5,0.1,1.0,auc,-1\\n38,0.7832565092984034,673,train,binary,0.1,10,3,60,0.001,0.5,0.5,1.0,auc,-1\\n39,0.7833461999096892,857,train,binary,0.1,10,3,60,0.001,0.5,0.0,1.0,auc,-1\\n40,0.7834381891249154,792,train,binary,0.1,10,3,60,0.001,0.5,0.7,1.0,auc,-1\\n41,0.7814477140538227,624,train,binary,0.1,10,3,60,0.001,0.5,0.7,11.5,auc,-1\\n42,0.7834381891249154,792,train,binary,0.1,10,3,60,0.001,0.5,0.7,1.0,auc,-1\\n\\n\\n\\\"Series Code\\\",\\\"Frequency\\\",\\\"Series\\\",\\\"Units of measurement\\\",\\\"Location\\\",\\\"Age group\\\",\\\"Sex\\\",\\\"Reference Area\\\",\\\"Source type\\\",\\\"Time period\\\",\\\"Observation Value\\\",\\\"Unit multiplier\\\",\\\"Nature of data points\\\",\\\"Time period details\\\",\\\"Source details\\\",\\\"Footnotes\\\"\\n\\\"IT_USE_ii99\\\",\\\"Annual\\\",\\\"Internet users\\\",\\\"Per 100 population\\\",\\\"Total (national level)\\\",\\\"All age ranges\\\",\\\"Both sexes\\\",\\\"India\\\",\\\"Not available\\\",\\\"1999\\\",\\\"0.20000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"1999\\\",\\\"Ministry of Information Technology\\\",\\\"NA\\\"\\n\\\"IT_USE_ii99\\\",\\\"Annual\\\",\\\"Internet users\\\",\\\"Per 100 population\\\",\\\"Total (national level)\\\",\\\"All age ranges\\\",\\\"Both sexes\\\",\\\"India\\\",\\\"Not available\\\",\\\"2002\\\",\\\"3.20000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"2002\\\",\\\"Ministry of Information Technology\\\",\\\"NA\\\"\\n\\\"IT_USE_ii99\\\",\\\"Annual\\\",\\\"Internet users\\\",\\\"Per 100 population\\\",\\\"Total (national level)\\\",\\\"All age ranges\\\",\\\"Both sexes\\\",\\\"India\\\",\\\"Not available\\\",\\\"2006\\\",\\\"7.00000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"2006\\\",\\\"Ministry of Information Technology\\\",\\\"NA\\\"\\n\\\"SE_ADT_1524\\\",\\\"Annual\\\",\\\"Literacy rate\\\",\\\"Percent\\\",\\\"Total (national level)\\\",\\\"15-24 year olds\\\",\\\"Both sexes\\\",\\\"India\\\",\\\"Not available\\\",\\\"1991\\\",\\\"48.50000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"1991\\\",\\\"Planning Commission\\\",\\\"NA\\\"\\n\\\"SE_ADT_1524\\\",\\\"Annual\\\",\\\"Literacy rate\\\",\\\"Percent\\\",\\\"Total (national level)\\\",\\\"15-24 year olds\\\",\\\"Both sexes\\\",\\\"India\\\",\\\"Not available\\\",\\\"2001\\\",\\\"76.40000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"2001\\\",\\\"Planning Commission\\\",\\\"NA\\\"\\n\\\"SH_DYN_MORT\\\",\\\"Annual\\\",\\\"Under-five mortality rate\\\",\\\"Per 1,000 live births\\\",\\\"Total (national level)\\\",\\\"under 5 year olds\\\",\\\"Both sexes\\\",\\\"India\\\",\\\"Not available\\\",\\\"1992\\\",\\\"109.30000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"1992\\\",\\\"National Family Health Survey\\\",\\\"NA\\\"\\n\\\"SH_DYN_MORT\\\",\\\"Annual\\\",\\\"Under-five mortality rate\\\",\\\"Per 1,000 live births\\\",\\\"Total (national level)\\\",\\\"under 5 year olds\\\",\\\"Both sexes\\\",\\\"India\\\",\\\"Not available\\\",\\\"1998\\\",\\\"94.90000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"1998\\\",\\\"National Family Health Survey\\\",\\\"NA\\\"\\n\\\"SH_DYN_MORT\\\",\\\"Annual\\\",\\\"Under-five mortality rate\\\",\\\"Per 1,000 live births\\\",\\\"Total (national level)\\\",\\\"under 5 year olds\\\",\\\"Both sexes\\\",\\\"India\\\",\\\"Not available\\\",\\\"2005\\\",\\\"74.30000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"2005\\\",\\\"National Family Health Survey\\\",\\\"NA\\\"\\n\\\"SH_STA_BRTC\\\",\\\"Annual\\\",\\\"Births attended by skilled health personnel\\\",\\\"Percent\\\",\\\"Total (national level)\\\",\\\"Not applicable\\\",\\\"Not applicable\\\",\\\"India\\\",\\\"Not available\\\",\\\"1992\\\",\\\"33.00000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"1992\\\",\\\"National Family Health Survey\\\",\\\"NA\\\"\\n\\\"SH_STA_BRTC\\\",\\\"Annual\\\",\\\"Births attended by skilled health personnel\\\",\\\"Percent\\\",\\\"Total (national level)\\\",\\\"Not applicable\\\",\\\"Not applicable\\\",\\\"India\\\",\\\"Not available\\\",\\\"1998\\\",\\\"42.40000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"1998\\\",\\\"National Family Health Survey\\\",\\\"NA\\\"\\n\\\"SH_STA_BRTC\\\",\\\"Annual\\\",\\\"Births attended by skilled health personnel\\\",\\\"Percent\\\",\\\"Total (national level)\\\",\\\"Not applicable\\\",\\\"Not applicable\\\",\\\"India\\\",\\\"Not available\\\",\\\"2005\\\",\\\"48.20000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"2005\\\",\\\"National Family Health Survey\\\",\\\"NA\\\"\\n\\\"SH_STA_MORT\\\",\\\"Annual\\\",\\\"Maternal mortality ratio\\\",\\\"Per 100,000 live births\\\",\\\"Total (national level)\\\",\\\"All age ranges\\\",\\\"Female\\\",\\\"India\\\",\\\"Not available\\\",\\\"1997\\\",\\\"398.00000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"1997\\\",\\\"Sample Registration System\\\",\\\"NA\\\"\\n\\\"SH_STA_MORT\\\",\\\"Annual\\\",\\\"Maternal mortality ratio\\\",\\\"Per 100,000 live births\\\",\\\"Total (national level)\\\",\\\"All age ranges\\\",\\\"Female\\\",\\\"India\\\",\\\"Not available\\\",\\\"2000\\\",\\\"327.00000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"2000\\\",\\\"Sample Registration System\\\",\\\"NA\\\"\\n\\\"SH_STA_MORT\\\",\\\"Annual\\\",\\\"Maternal mortality ratio\\\",\\\"Per 100,000 live births\\\",\\\"Total (national level)\\\",\\\"All age ranges\\\",\\\"Female\\\",\\\"India\\\",\\\"Not available\\\",\\\"2002\\\",\\\"301.00000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"2002\\\",\\\"Sample Registration System\\\",\\\"NA\\\"\\n\\\"SH_TBS_PREV\\\",\\\"Annual\\\",\\\"Tuberculosis prevalence rate\\\",\\\"Per 100,000 population\\\",\\\"Total (national level)\\\",\\\"All age ranges\\\",\\\"Both sexes\\\",\\\"India\\\",\\\"Not available\\\",\\\"1990\\\",\\\"503.00000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"1990\\\",\\\"\\\",\\\"NA\\\"\\n\\\"SH_TBS_PREV\\\",\\\"Annual\\\",\\\"Tuberculosis prevalence rate\\\",\\\"Per 100,000 population\\\",\\\"Total (national level)\\\",\\\"All age ranges\\\",\\\"Both sexes\\\",\\\"India\\\",\\\"Not available\\\",\\\"2000\\\",\\\"412.00000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"2000\\\",\\\"\\\",\\\"NA\\\"\\n\\\"SH_TBS_PREV\\\",\\\"Annual\\\",\\\"Tuberculosis prevalence rate\\\",\\\"Per 100,000 population\\\",\\\"Total (national level)\\\",\\\"All age ranges\\\",\\\"Both sexes\\\",\\\"India\\\",\\\"Not available\\\",\\\"2001\\\",\\\"371.00000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"2001\\\",\\\"\\\",\\\"NA\\\"\\n\\\"SH_TBS_PREV\\\",\\\"Annual\\\",\\\"Tuberculosis prevalence rate\\\",\\\"Per 100,000 population\\\",\\\"Total (national level)\\\",\\\"All age ranges\\\",\\\"Both sexes\\\",\\\"India\\\",\\\"Not available\\\",\\\"2002\\\",\\\"343.00000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"2002\\\",\\\"\\\",\\\"NA\\\"\\n\\\"SH_TBS_PREV\\\",\\\"Annual\\\",\\\"Tuberculosis prevalence rate\\\",\\\"Per 100,000 population\\\",\\\"Total (national level)\\\",\\\"All age ranges\\\",\\\"Both sexes\\\",\\\"India\\\",\\\"Not available\\\",\\\"2003\\\",\\\"287.00000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"2003\\\",\\\"\\\",\\\"NA\\\"\\n\\\"SH_TBS_PREV\\\",\\\"Annual\\\",\\\"Tuberculosis prevalence rate\\\",\\\"Per 100,000 population\\\",\\\"Total (national level)\\\",\\\"All age ranges\\\",\\\"Both sexes\\\",\\\"India\\\",\\\"Not available\\\",\\\"2004\\\",\\\"312.00000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"2004\\\",\\\"\\\",\\\"NA\\\"\\n\\\"SI_POV_NAHC\\\",\\\"Annual\\\",\\\"Population below national poverty line\\\",\\\"Percent\\\",\\\"Total (national level)\\\",\\\"All age ranges\\\",\\\"Both sexes\\\",\\\"India\\\",\\\"Not available\\\",\\\"1993\\\",\\\"36.00000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"1993\\\",\\\"Planning Commission\\\",\\\"NA\\\"\\n\\\"SI_POV_NAHC\\\",\\\"Annual\\\",\\\"Population below national poverty line\\\",\\\"Percent\\\",\\\"Total (national level)\\\",\\\"All age ranges\\\",\\\"Both sexes\\\",\\\"India\\\",\\\"Not available\\\",\\\"1999\\\",\\\"26.10000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"1999\\\",\\\"Planning Commission\\\",\\\"NA\\\"\\n\\\"SI_POV_NAHC\\\",\\\"Annual\\\",\\\"Population below national poverty line\\\",\\\"Percent\\\",\\\"Total (national level)\\\",\\\"All age ranges\\\",\\\"Both sexes\\\",\\\"India\\\",\\\"Not available\\\",\\\"2004\\\",\\\"27.50000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"2004\\\",\\\"Planning Commission\\\",\\\"NA\\\"\\n\\\"SI_POV_NAHC\\\",\\\"Annual\\\",\\\"Population below national poverty line\\\",\\\"Percent\\\",\\\"Total (national level)\\\",\\\"All age ranges\\\",\\\"Both sexes\\\",\\\"India\\\",\\\"Not available\\\",\\\"2005\\\",\\\"21.80000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"2005\\\",\\\"Planning Commission\\\",\\\"NA\\\"\\n\\\"SL_EMP_NAGR\\\",\\\"Annual\\\",\\\"Share women in wage employment in the non-agricultural sector\\\",\\\"Percent\\\",\\\"Total (national level)\\\",\\\"All age ranges\\\",\\\"Female\\\",\\\"India\\\",\\\"Not available\\\",\\\"1999\\\",\\\"16.00000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"1999\\\",\\\"National Sample Survey Organization\\\",\\\"NA\\\"\\n\\\"SL_EMP_NAGR\\\",\\\"Annual\\\",\\\"Share women in wage employment in the non-agricultural sector\\\",\\\"Percent\\\",\\\"Total (national level)\\\",\\\"All age ranges\\\",\\\"Female\\\",\\\"India\\\",\\\"Not available\\\",\\\"2004\\\",\\\"20.20000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"2004\\\",\\\"National Sample Survey Organization\\\",\\\"NA\\\"\\n\\\"SN_STA_MALN\\\",\\\"Annual\\\",\\\"Children moderately or severely underweight\\\",\\\"Percent\\\",\\\"Total (national level)\\\",\\\"under 5 year olds\\\",\\\"Both sexes\\\",\\\"India\\\",\\\"Not available\\\",\\\"1992\\\",\\\"51.50000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"1992\\\",\\\"National Family Health Survey\\\",\\\"NA\\\"\\n\\\"SN_STA_MALN\\\",\\\"Annual\\\",\\\"Children moderately or severely underweight\\\",\\\"Percent\\\",\\\"Total (national level)\\\",\\\"under 5 year olds\\\",\\\"Both sexes\\\",\\\"India\\\",\\\"Not available\\\",\\\"1998\\\",\\\"47.00000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"1998\\\",\\\"National Family Health Survey\\\",\\\"NA\\\"\\n\\\"SN_STA_MALN\\\",\\\"Annual\\\",\\\"Children moderately or severely underweight\\\",\\\"Percent\\\",\\\"Total (national level)\\\",\\\"under 5 year olds\\\",\\\"Both sexes\\\",\\\"India\\\",\\\"Not available\\\",\\\"2005\\\",\\\"45.90000\\\",\\\"Units\\\",\\\"Country Data\\\",\\\"2005\\\",\\\"National Family Health Survey\\\",\\\"NA\\\"\\n\\n\\nAddress, Size(Byte), Data Name, Description, Access, InitialValue\\n0, 2, Model Number, Model Number, R, 18\\n2, 1, Firmware Version, Firmware Version, R, -\\n3, 1, ID, DYNAMIXEL ID, RW, 1\\n4, 1, Baud Rate, Communication Speed, RW, 1\\n5, 1, Return Delay Time, Response Delay Time, RW, 250\\n6, 2, CW Angle Limit, Clockwise Angle Limit, RW, 0\\n8, 2, CCW Angle Limit, Counter-Clockwise Angle Limit, RW, 1023\\n11, 1, Temperature Limit, Maximum Internal Temperature Limit, RW, 75\\n12, 1, Min Voltage Limit, Minimum Input Voltage Limit, RW, 60\\n13, 1, Max Voltage Limit, Maximum Input Voltage Limit, RW, 140\\n14, 2, Max Torque, Maximun Torque, RW, 983\\n16, 1, Status Return Level, Select Types of Status Return, RW, 2\\n17, 1, Alarm LED, LED for Alarm, RW, 36\\n18, 1, Shutdown, Shutdown Error Information, RW, 36\\n24, 1, Torque Enable, Motor Torque On/Off, RW, 0\\n25, 1, LED, Status LED On/Off, RW, 0\\n26, 1, CW Compliance Margin, CW Compliance Margin, RW, 1\\n27, 1, CCW Compliance Margin, CCW Compliance Margin, RW, 1\\n28, 1, CW Compliance Slope, CW Compliance Slope, RW, 32\\n29, 1, CCW Compliance Slope, CCW Compliance Slope, RW, 32\\n30, 2, Goal Position, Target Position, RW, -\\n32, 2, Moving Speed, Moving Speed, RW, -\\n34, 2, Torque Limit, Torque Limit(Goal Torque), RW, ADD 14&15\\n36, 2, Present Position, Present Position, R, -\\n38, 2, Present Speed, Present Speed, R, -\\n40, 2, Present Load, Present Load, R, -\\n42, 1, Present Voltage, Present Voltage, R, -\\n43, 1, Present Temperature, Present Temperature, R, -\\n44, 1, Registered, If Instruction is registered, R, 0\\n46, 1, Moving, Movement Status, R, 0\\n47, 1, Lock, Locking EEPROM, RW, 0\\n48, 2, Punch, Minimum Current Threshold, RW, 32\\n\\n\\n\\\"title\\\",\\\"year\\\",\\\"authors\\\",\\\"num_citations\\\",\\\"url_citations\\\",\\\"nameFull\\\",\\\"nameSort\\\",\\\"url\\\",\\\"num_versions\\\",\\\"cluster_id\\\",\\\"url_pdf\\\",\\\"url_versions\\\",\\\"url_citation\\\",\\\"excerpt\\\",\\\"name_Last\\\",\\\"name_Frst\\\",\\\"name_Midl\\\"\\n\\\"Mortgage Refinancing during the Great Recession: The Role of Credit Scores\\\",\\\"None\\\",\\\"2016\\\",\\\"1\\\",\\\"None\\\",\\\"None\\\",\\\"http://scholar.google.com/https://ideas.repec.org/a/fip/fedhle/00042.html\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=11384456699214914669&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"None\\\",\\\"3\\\",\\\"11384456699214914669\\\",\\\"http://scholar.google.com/scholar?cluster=11384456699214914669&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"This article examines whether deteriorating credit scores may have posed a barrier to mortgage refinancing during the Great Recession of 2008–09 and its immediate aftermath. The authors find that in general, as long as borrowers kept up with their mortgage payments, \\\",\\\"Keys_Benjamin_J\\\",\\\"Benjamin J Keys\\\",\\\"Keys\\\",\\\"Benjamin\\\",\\\"J\\\"\\n\\\"Evidence and Innovation in Housing Law and Policy\\\",\\\"None\\\",\\\"2017\\\",\\\"0\\\",\\\"None\\\",\\\"None\\\",\\\"http://scholar.google.com/https://books.google.com/books?hl=en&lr=&id=ghs0DwAAQBAJ&oi=fnd&pg=PR9&dq=economics+Benjamin+Keys&ots=j2F86oH3I-&sig=PtmZmFfHhndxckgf-Wd29-4QXdk\\\",\\\"None\\\",\\\"None\\\",\\\"None\\\",\\\"3\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cluster=3151850588885790724&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"No area of law and policy is more central to our well-being than housing, yet research on the topic is too often produced in disciplinary or methodological silos that fail to connect to policy on the ground. This pathbreaking book, which features leading scholars from a range of \\\",\\\"Keys_Benjamin_J\\\",\\\"Benjamin J Keys\\\",\\\"Keys\\\",\\\"Benjamin\\\",\\\"J\\\"\\n\\\"Failure to refinance\\\",\\\"None\\\",\\\"2016\\\",\\\"54\\\",\\\"None\\\",\\\"None\\\",\\\"http://www.sciencedirect.com/science/article/pii/S0304405X16301507\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=4898638035435354592&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"None\\\",\\\"19\\\",\\\"4898638035435354592\\\",\\\"http://scholar.google.com/scholar?cluster=4898638035435354592&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"Abstract Households that fail to refinance their mortgage when interest rates decline lose out on substantial savings. Using a random sample of outstanding US mortgages in December 2010, we estimate that approximately 20% of unconstrained households for whom \\\",\\\"Keys_Benjamin_J\\\",\\\"Benjamin J Keys\\\",\\\"Keys\\\",\\\"Benjamin\\\",\\\"J\\\"\\n\\\"Can self-control explain avoiding free money? Evidence from interest-free student loans\\\",\\\"None\\\",\\\"2013\\\",\\\"38\\\",\\\"None\\\",\\\"None\\\",\\\"http://www.mitpressjournals.org/doi/abs/10.1162/REST_a_00321\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=10932466747388880716&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"None\\\",\\\"9\\\",\\\"10932466747388880716\\\",\\\"http://scholar.google.com/scholar?cluster=10932466747388880716&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"Abstract This paper uses insights from behavioral economics to explain a particularly surprising borrowing phenomenon: one in six undergraduate students offered interest-free loans turns them down. Models of impulse control predict that students may optimally reject \\\",\\\"Keys_Benjamin_J\\\",\\\"Benjamin J Keys\\\",\\\"Keys\\\",\\\"Benjamin\\\",\\\"J\\\"\\n\\\"Introduction to Evidence and Innovation in Housing Law and Policy\\\",\\\"None\\\",\\\"2017\\\",\\\"0\\\",\\\"None\\\",\\\"None\\\",\\\"http://scholar.google.com/https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3043469\\\",\\\"None\\\",\\\"None\\\",\\\"None\\\",\\\"0\\\",\\\"None\\\",\\\"None\\\",\\\"Abstract This introductory chapter to the edited volume' Evidence and Innovation in Housing Law and Policy' emphasizes housing's dual role as a vehicle for building community and as a vehicle for building wealth. The volume examines the impact of housing law and policy on \\\",\\\"Keys_Benjamin_J\\\",\\\"Benjamin J Keys\\\",\\\"Keys\\\",\\\"Benjamin\\\",\\\"J\\\"\\n\\\"Perverse nudges: Minimum payments and debt paydown in consumer credit cards\\\",\\\"None\\\",\\\"2014\\\",\\\"6\\\",\\\"None\\\",\\\"None\\\",\\\"http://repository.upenn.edu/pennwhartonppi/25/?utm_source=repository.upenn.edu%2Fpennwhartonppi%2F25&utm_medium=PDF&utm_campaign=PDFCoverPages\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=2582918723729339967&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"None\\\",\\\"6\\\",\\\"2582918723729339967\\\",\\\"http://scholar.google.com/scholar?cluster=2582918723729339967&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"Summary Credit card minimum payments can act as an “anchor” that causes consumers to pay less of their debt than they otherwise would, leading to higher balances and interest costs, lower credit card scores, increased bankruptcy risks, and in the aggregate, \\\",\\\"Keys_Benjamin_J\\\",\\\"Benjamin J Keys\\\",\\\"Keys\\\",\\\"Benjamin\\\",\\\"J\\\"\\n\\\"Human capital and the lifetime costs of impatience\\\",\\\"None\\\",\\\"2015\\\",\\\"49\\\",\\\"None\\\",\\\"None\\\",\\\"None\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=1323037103527589618&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"None\\\",\\\"11\\\",\\\"1323037103527589618\\\",\\\"http://scholar.google.com/scholar?cluster=1323037103527589618&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"None\\\",\\\"Keys_Benjamin_J\\\",\\\"Benjamin J Keys\\\",\\\"Keys\\\",\\\"Benjamin\\\",\\\"J\\\"\\n\\\"Behavioral policy interventions to address education inequality\\\",\\\"None\\\",\\\"2017\\\",\\\"0\\\",\\\"None\\\",\\\"None\\\",\\\"http://scholar.google.com/https://muse.jhu.edu/article/671757/summary\\\",\\\"None\\\",\\\"None\\\",\\\"None\\\",\\\"2\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cluster=15173722624254905652&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"Children from low-income families arrive at kindergarten already behind academically, do not overcome these gaps during the school years, and are much less likely to attend and graduate from college. Many programs aim to help these children before they enter formal \\\",\\\"Keys_Benjamin_J\\\",\\\"Benjamin J Keys\\\",\\\"Keys\\\",\\\"Benjamin\\\",\\\"J\\\"\\n\\\"Mortgage rates, household balance sheets, and the real economy\\\",\\\"None\\\",\\\"2014\\\",\\\"83\\\",\\\"None\\\",\\\"None\\\",\\\"http://www.nber.org/papers/w20561\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=8820883104556730837&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"None\\\",\\\"19\\\",\\\"8820883104556730837\\\",\\\"http://scholar.google.com/scholar?cluster=8820883104556730837&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"ABSTRACT This paper investigates the impact of lower mortgage rates on household balance sheets and other economic outcomes during the housing crisis. We use proprietary loan-level panel data matched to consumer credit records using borrowers' Social Security \\\",\\\"Keys_Benjamin_J\\\",\\\"Benjamin J Keys\\\",\\\"Keys\\\",\\\"Benjamin\\\",\\\"J\\\"\\n\\\"Interest rates and equity extraction during the housing boom\\\",\\\"None\\\",\\\"2016\\\",\\\"50\\\",\\\"None\\\",\\\"None\\\",\\\"None\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=13335710947374957855&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"None\\\",\\\"14\\\",\\\"13335710947374957855\\\",\\\"http://scholar.google.com/scholar?cluster=13335710947374957855&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"None\\\",\\\"Keys_Benjamin_J\\\",\\\"Benjamin J Keys\\\",\\\"Keys\\\",\\\"Benjamin\\\",\\\"J\\\"\\n\\\"A more timely house price index\\\",\\\"Anenberg, Elliot and Laufer, Steven\\\",\\\"2014\\\",\\\"4\\\",\\\"article\\\",\\\"Review of Economics and Statistics\\\",\\\"http://www.mitpressjournals.org/doi/abs/10.1162/REST_a_00634\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=6374427930535448741&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:pdDk_W2EdlgJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjYZod5y50X0aqN2-iDFJN3brMPHf5U&scisf=4&ct=citation&cd=0&hl=en\\\",\\\"10\\\",\\\"6374427930535448741\\\",\\\"http://scholar.google.com/scholar?cluster=6374427930535448741&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"Abstract Using listings data, we construct a new repeat-sales house price index that describes house values at the contract date when the price is determined rather than the closing date when the property is transferred. We show that this difference in timing helps \\\",\\\"Laufer_Steven_\\\",\\\"Steven Laufer\\\",\\\"Laufer\\\",\\\"Steven\\\",\\\"\\\"\\n\\\"Code and data files for' Search, Matching, and Training'\\\",\\\"Flinn, Christopher and Gemici, Ahu and Laufer, Steven and others\\\",\\\"2016\\\",\\\"0\\\",\\\"article\\\",\\\"Computer Codes\\\",\\\"http://scholar.google.com/https://ideas.repec.org/c/red/ccodes/16-105.html\\\",\\\"None\\\",\\\"None\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:k_A75187X2AJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjYZlQ9AtlODstooM1wqcaJtzdt64jW&scisf=4&ct=citation&cd=1&hl=en\\\",\\\"3\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cluster=6944334433515991187&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.   ... Software component provided by Review \\\",\\\"Laufer_Steven_\\\",\\\"Steven Laufer\\\",\\\"Laufer\\\",\\\"Steven\\\",\\\"\\\"\\n\\\"Search, Matching and Training\\\",\\\"Laufer, Steven and Gemici, Ahu and Flinn, Christopher and others\\\",\\\"2014\\\",\\\"0\\\",\\\"inproceedings\\\",\\\"None\\\",\\\"http://scholar.google.com/https://ideas.repec.org/p/red/sed014/1237.html\\\",\\\"None\\\",\\\"None\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:7uM7uFfMEEQJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjYZsfeJ7HGPCiFZe3f8ByXCQV5vZA6&scisf=4&ct=citation&cd=2&hl=en\\\",\\\"2\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cluster=4904644671331623918&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"In this paper we estimate a model of general and human capital investment within a partial equilibrium model of search. The estimated model enables us to determine the production technology for both types of human capital and to assess their value in the sense of \\\",\\\"Laufer_Steven_\\\",\\\"Steven Laufer\\\",\\\"Laufer\\\",\\\"Steven\\\",\\\"\\\"\\n\\\"Using Data on Seller Behavior to Forecast Short-run House Price Changes\\\",\\\"Anenberg, Elliot and Laufer, Steven and others\\\",\\\"2014\\\",\\\"1\\\",\\\"techreport\\\",\\\"None\\\",\\\"http://scholar.google.com/https://www.federalreserve.gov/pubs/feds/2014/201416/201416pap.pdf\\\",\\\"http://scholar.google.com/https://www.federalreserve.gov/pubs/feds/2014/201416/201416pap.pdf\\\",\\\"http://scholar.google.com/scholar?cites=7686044919783280200&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:SM5g0yFRqmoJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjYZrhzumijDy9qFLCW8mEsHJqGKMLF&scisf=4&ct=citation&cd=3&hl=en\\\",\\\"6\\\",\\\"7686044919783280200\\\",\\\"http://scholar.google.com/scholar?cluster=7686044919783280200&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"Abstract We construct a new “list-price index” that accurately reveals trends in house prices several months before existing sales price indices like Case-Shiller. Our index is based on the repeat-sales approach but for recent months uses listings data, which are available \\\",\\\"Laufer_Steven_\\\",\\\"Steven Laufer\\\",\\\"Laufer\\\",\\\"Steven\\\",\\\"\\\"\\n\\\"The Effects of Mortgage Credit Availability: Evidence from Minimum Credit Score Lending Rules\\\",\\\"Laufer, Steven and Paciorek, Andrew\\\",\\\"2016\\\",\\\"3\\\",\\\"article\\\",\\\"None\\\",\\\"http://scholar.google.com/https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2887002\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=12079071357382793751&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:F5pl4WZ7oacJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjYZudnLoqnAcmLVb-kpLDT_c9sQGbH&scisf=4&ct=citation&cd=4&hl=en\\\",\\\"6\\\",\\\"12079071357382793751\\\",\\\"http://scholar.google.com/scholar?cluster=12079071357382793751&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"Abstract: Since the housing bust and financial crisis, mortgage lenders have introduced progressively higher minimum thresholds for acceptable credit scores. Using loan-level data, we document the introduction of these thresholds, as well as their effects on the \\\",\\\"Laufer_Steven_\\\",\\\"Steven Laufer\\\",\\\"Laufer\\\",\\\"Steven\\\",\\\"\\\"\\n\\\"Equity extraction and mortgage default\\\",\\\"Laufer, Steven\\\",\\\"2013\\\",\\\"34\\\",\\\"article\\\",\\\"None\\\",\\\"http://scholar.google.com/https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2269075\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=11879991719806781336&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:mEequYY13qQJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjYZggw_resLcL_WB0m-QIXxLokbDdb&scisf=4&ct=citation&cd=5&hl=en\\\",\\\"15\\\",\\\"11879991719806781336\\\",\\\"http://scholar.google.com/scholar?cluster=11879991719806781336&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"Abstract: Using a property-level data set of houses in Los Angeles County, I estimate that 30% of the recent surge in mortgage defaults is attributable to early home-buyers who would not have defaulted had they not borrowed against the rising value of their homes during the \\\",\\\"Laufer_Steven_\\\",\\\"Steven Laufer\\\",\\\"Laufer\\\",\\\"Steven\\\",\\\"\\\"\\n\\\"HCEO WORKING PAPER SERIES\\\",\\\"Flinn, Christopher and Gemici, Ahu and Laufer, Steven\\\",\\\"2016\\\",\\\"0\\\",\\\"article\\\",\\\"None\\\",\\\"http://humcap.uchicago.edu/RePEc/hka/wpaper/Flinn_Gemici_Laufer_2016_searchmatchingbargaining.pdf\\\",\\\"http://humcap.uchicago.edu/RePEc/hka/wpaper/Flinn_Gemici_Laufer_2016_searchmatchingbargaining.pdf\\\",\\\"None\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:UDUVOzEXLmoJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjYZq9CEYRd8w_3Pp9WDtlT3ZhXaWuV&scisf=4&ct=citation&cd=6&hl=en\\\",\\\"0\\\",\\\"None\\\",\\\"None\\\",\\\"Abstract We estimate a partial and general equilibrium search model in which firms and workers choose how much time to invest in both general and match-specific human capital. To help identify the model parameters, we use NLSY data on worker training and we match \\\",\\\"Laufer_Steven_\\\",\\\"Steven Laufer\\\",\\\"Laufer\\\",\\\"Steven\\\",\\\"\\\"\\n\\\"Equity Extraction and Mortgage Default: Understanding why Early Home-buyers Defaulted during the Housing Bust\\\",\\\"Laufer, Steven\\\",\\\"2013\\\",\\\"0\\\",\\\"article\\\",\\\"None\\\",\\\"http://scholar.google.com/https://www.economicdynamics.org/meetpapers/2014/paper_634.pdf\\\",\\\"http://scholar.google.com/https://www.economicdynamics.org/meetpapers/2014/paper_634.pdf\\\",\\\"None\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:PgtZa1gnbIMJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjYZpMQAsUvm7TlRhFSb96_tYp8-T82&scisf=4&ct=citation&cd=7&hl=en\\\",\\\"2\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cluster=9469987377164913470&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"Abstract Using a property-level data set of houses in Los Angeles County, I estimate that 30% of the recent surge in mortgage defaults is attributable to early home-buyers who would not have defaulted had they not borrowed against the rising value of their homes during the \\\",\\\"Laufer_Steven_\\\",\\\"Steven Laufer\\\",\\\"Laufer\\\",\\\"Steven\\\",\\\"\\\"\\n\\\"Managerial miscalibration\\\",\\\"Ben-David, Itzhak and Graham, John R and Harvey, Campbell R\\\",\\\"2013\\\",\\\"333\\\",\\\"article\\\",\\\"The Quarterly Journal of Economics\\\",\\\"http://qje.oxfordjournals.org/content/early/2013/09/29/qje.qjt023.short\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=15334423846380870324&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:tJrPNj7RztQJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjYpvuZBHoZmZVRt5Xj7P_eOrHj6MTV&scisf=4&ct=citation&cd=0&hl=en\\\",\\\"23\\\",\\\"15334423846380870324\\\",\\\"http://scholar.google.com/scholar?cluster=15334423846380870324&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"Abstract Using a unique 10-year panel that includes more than 13,300 expected stock market return probability distributions, we find that executives are severely miscalibrated, producing distributions that are too narrow: realized market returns are within the executives' \\\",\\\"Ben-David_Itzhak_\\\",\\\"Itzhak Ben-David\\\",\\\"Ben-David\\\",\\\"Itzhak\\\",\\\"\\\"\\n\\\"Predatory lending and the subprime crisis\\\",\\\"Agarwal, Sumit and Amromin, Gene and Ben-David, Itzhak and Chomsisengphet, Souphala and Evanoff, Douglas D\\\",\\\"2014\\\",\\\"59\\\",\\\"article\\\",\\\"Journal of Financial Economics\\\",\\\"http://www.sciencedirect.com/science/article/pii/S0304405X14000397\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=16246477265516242346&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:qiWO1v4Ud-EJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjYpoRUYPivaNaJ8QxAtoHT1HinIGz1&scisf=4&ct=citation&cd=1&hl=en\\\",\\\"19\\\",\\\"16246477265516242346\\\",\\\"http://scholar.google.com/scholar?cluster=16246477265516242346&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"Abstract We measure the effect of a 2006 antipredatory pilot program in Chicago on mortgage default rates to test whether predatory lending was a key element in fueling the subprime crisis. Under the program, risky borrowers or risky mortgage contracts or both \\\",\\\"Ben-David_Itzhak_\\\",\\\"Itzhak Ben-David\\\",\\\"Ben-David\\\",\\\"Itzhak\\\",\\\"\\\"\\n\\\"Systematic mistakes in the mortgage market and lack of financial sophistication\\\",\\\"Agarwal, Sumit and Ben-David, Itzhak and Yao, Vincent\\\",\\\"2017\\\",\\\"2\\\",\\\"article\\\",\\\"Journal of Financial Economics\\\",\\\"http://www.sciencedirect.com/science/article/pii/S0304405X16301258\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=12018273561927511125&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:VWwoCCF8yaYJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjYpl81-_1S8YAeNsDxQ-SnY5LhSB-N&scisf=4&ct=citation&cd=2&hl=en\\\",\\\"6\\\",\\\"12018273561927511125\\\",\\\"http://scholar.google.com/scholar?cluster=12018273561927511125&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"Abstract Institutions often offer a menu of contracts to consumers in an attempt to create a separating equilibrium that reveals borrower types and provides better pricing. We test the effectiveness of a specific set of contracts in the mortgage market: mortgage points. Points \\\",\\\"Ben-David_Itzhak_\\\",\\\"Itzhak Ben-David\\\",\\\"Ben-David\\\",\\\"Itzhak\\\",\\\"\\\"\\n\\\"Exchange-Traded Funds\\\",\\\"Ben-David, Itzhak and Franzoni, Francesco and Moussawi, Rabih\\\",\\\"2017\\\",\\\"0\\\",\\\"article\\\",\\\"Annual Review of Financial Economics\\\",\\\"http://www.annualreviews.org/doi/abs/10.1146/annurev-financial-110716-032538\\\",\\\"None\\\",\\\"None\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:7stx-EqBfxkJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjYpiUsuWQJxPvKa3NKJHqhS9O0SHlv&scisf=4&ct=citation&cd=3&hl=en\\\",\\\"0\\\",\\\"None\\\",\\\"None\\\",\\\"Over two decades, ETFs have become one of the most popular investment vehicles among retail and professional investors due to their low transaction costs and high liquidity, taking market share from traditional investment vehicles such as mutual funds and index futures. \\\",\\\"Ben-David_Itzhak_\\\",\\\"Itzhak Ben-David\\\",\\\"Ben-David\\\",\\\"Itzhak\\\",\\\"\\\"\\n\\\"Loan product steering in mortgage markets\\\",\\\"Agarwal, Sumit and Amromin, Gene and Ben-David, Itzhak and Evanoff, Douglas D\\\",\\\"2016\\\",\\\"23\\\",\\\"techreport\\\",\\\"None\\\",\\\"http://www.nber.org/papers/w22696\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=13216629626405199966&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:XiDJ2Z7marcJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjYpgWxv8uvCY2VoZuqmWxvOtXq7tcu&scisf=4&ct=citation&cd=4&hl=en\\\",\\\"13\\\",\\\"13216629626405199966\\\",\\\"http://scholar.google.com/scholar?cluster=13216629626405199966&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"ABSTRACT We present evidence of a particular type of loan steering in which lenders lead borrowers to take out high margin mortgage products. We identify this activity by comparing borrowers who were rejected by lenders but were subsequently approved by their affiliates \\\",\\\"Ben-David_Itzhak_\\\",\\\"Itzhak Ben-David\\\",\\\"Ben-David\\\",\\\"Itzhak\\\",\\\"\\\"\\n\\\"Second liens and the holdup problem in mortgage renegotiation\\\",\\\"Agarwal, Sumit and Amromin, Gene and Ben-David, Itzhak and Chomsisengphet, Souphala and Zhang, Yan\\\",\\\"2014\\\",\\\"14\\\",\\\"techreport\\\",\\\"None\\\",\\\"http://www.nber.org/papers/w20015\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=7696491836363714044&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:_C0nI4xuz2oJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjYpl2-CKBcoKUC7wlTD1b4j0-e8OoL&scisf=4&ct=citation&cd=5&hl=en\\\",\\\"8\\\",\\\"7696491836363714044\\\",\\\"http://scholar.google.com/scholar?cluster=7696491836363714044&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"ABSTRACT Loss mitigation actions (eg, liquidation or renegotiation) for delinquent mortgages might be hampered by the conflicting goals of claim holders with different levels of seniority. Although similar agency problems arise in corporate bankruptcies, the mortgage \\\",\\\"Ben-David_Itzhak_\\\",\\\"Itzhak Ben-David\\\",\\\"Ben-David\\\",\\\"Itzhak\\\",\\\"\\\"\\n\\\"Do ETFs increase volatility?\\\",\\\"Ben-David, Itzhak and Franzoni, Francesco and Moussawi, Rabih\\\",\\\"2014\\\",\\\"73\\\",\\\"techreport\\\",\\\"None\\\",\\\"http://www.nber.org/papers/w20071\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=7643711473506548096&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:gHnvRxbrE2oJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjYphrD1OE26qdCSF24N6S4meSobpmH&scisf=4&ct=citation&cd=6&hl=en\\\",\\\"15\\\",\\\"7643711473506548096\\\",\\\"http://scholar.google.com/scholar?cluster=7643711473506548096&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"ABSTRACT We study whether exchange traded funds (ETFs)—an asset of increasing importance—impact the volatility of their underlying stocks. Using identification strategies based on the mechanical variation in ETF ownership, we present evidence that stocks \\\",\\\"Ben-David_Itzhak_\\\",\\\"Itzhak Ben-David\\\",\\\"Ben-David\\\",\\\"Itzhak\\\",\\\"\\\"\\n\\\"Financial literacy and financial planning: Evidence from India\\\",\\\"Agarwal, Sumit and Amromin, Gene and Ben-David, Itzhak and Chomsisengphet, Souphala and Evanoff, Douglas D\\\",\\\"2015\\\",\\\"15\\\",\\\"article\\\",\\\"Journal of Housing Economics\\\",\\\"http://www.sciencedirect.com/science/article/pii/S1051137715000066\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=11287238990779659888&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:cDZcTA9UpJwJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjYpi2KrU1RHhpPsgdHxEHNn8uFgU9c&scisf=4&ct=citation&cd=7&hl=en\\\",\\\"8\\\",\\\"11287238990779659888\\\",\\\"http://scholar.google.com/scholar?cluster=11287238990779659888&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"Abstract In this study we report findings about financial literacy and financial planning behavior based on a financial advisory program in India. We evaluate survey responses to three standard questions previously used to measure financial literacy. We then break down \\\",\\\"Ben-David_Itzhak_\\\",\\\"Itzhak Ben-David\\\",\\\"Ben-David\\\",\\\"Itzhak\\\",\\\"\\\"\\n\\\"The Effectiveness of Mandatory Mortgage Counseling: Can One Dissuade Borrowers from Choosing Risky Mortgages?\\\",\\\"Agarwal, Sumit and Amromin, Gene and Ben-David, Itzhak and Chomsisengphet, Souphala and Evanoff, Douglas\\\",\\\"2014\\\",\\\"12\\\",\\\"techreport\\\",\\\"None\\\",\\\"http://www.nber.org/papers/w19920\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=5842274640680442302&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:vtkH_tTtE1EJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjYplm56LtpTx7CFAo6lWkhsM-5rlRf&scisf=4&ct=citation&cd=8&hl=en\\\",\\\"8\\\",\\\"5842274640680442302\\\",\\\"http://scholar.google.com/scholar?cluster=5842274640680442302&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"ABSTRACT We explore the effects of mandatory third-party review of mortgage contracts on consumer choice—including the terms and demand for mortgage credit. Our study is based on a legislative pilot carried out by the State of Illinois in a selected set of zip codes in 2006. \\\",\\\"Ben-David_Itzhak_\\\",\\\"Itzhak Ben-David\\\",\\\"Ben-David\\\",\\\"Itzhak\\\",\\\"\\\"\\n\\\"Trading Skill: Evidence from Trades of Corporate Insiders in Their Personal Portfolios\\\",\\\"Ben-David, Itzhak and Birru, Justin and Rossi, Andrea\\\",\\\"2016\\\",\\\"1\\\",\\\"techreport\\\",\\\"None\\\",\\\"http://www.nber.org/papers/w22115\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=3044347253080819924&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:1IjRcLKxPyoJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjYpp22qZJbYFF1ZyIlG4ejQ7jlSUYu&scisf=4&ct=citation&cd=9&hl=en\\\",\\\"11\\\",\\\"3044347253080819924\\\",\\\"http://scholar.google.com/scholar?cluster=3044347253080819924&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"ABSTRACT We study trading patterns of corporate insiders in their own personal portfolios. To do so, we identify accounts of corporate insiders in a large dataset provided by a retail discount broker. We show that insiders overweight firms from their own industry. \\\",\\\"Ben-David_Itzhak_\\\",\\\"Itzhak Ben-David\\\",\\\"Ben-David\\\",\\\"Itzhak\\\",\\\"\\\"\\n\\\"Public health insurance, labor supply, and employment lock\\\",\\\"Garthwaite, Craig and Gross, Tal and Notowidigdo, Matthew J\\\",\\\"2013\\\",\\\"101\\\",\\\"techreport\\\",\\\"None\\\",\\\"http://www.nber.org/papers/w19220\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=12008908697253513356&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:jAjlj9U2qKYJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjZXtaUn7S1f_zg_aa8iVcn6A2rhp1h&scisf=4&ct=citation&cd=0&hl=en\\\",\\\"22\\\",\\\"12008908697253513356\\\",\\\"http://scholar.google.com/scholar?cluster=12008908697253513356&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"ABSTRACT We study the effect of public health insurance eligibility on labor supply by exploiting the largest public health insurance disenrollment in the history of the United States. In 2005, approximately 170,000 Tennessee residents abruptly lost public health \\\",\\\"Gross_Tal_\\\",\\\"Tal Gross\\\",\\\"Gross\\\",\\\"Tal\\\",\\\"\\\"\\n\\\"The effect of health insurance on emergency department visits: Evidence from an age-based eligibility threshold\\\",\\\"Anderson, Michael L and Dobkin, Carlos and Gross, Tal\\\",\\\"2014\\\",\\\"33\\\",\\\"article\\\",\\\"Review of Economics and Statistics\\\",\\\"http://www.mitpressjournals.org/doi/abs/10.1162/REST_a_00378\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=5111607285302190725&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:hWK8V74T8EYJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjZXhB-DlA2aVRYg7sBHsrhApV1LQyy&scisf=4&ct=citation&cd=1&hl=en\\\",\\\"12\\\",\\\"5111607285302190725\\\",\\\"http://scholar.google.com/scholar?cluster=5111607285302190725&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"Health insurance affects the rate at which individuals visit hospitals and emergency departments (EDs). We identify the causal effect of losing health insurance using a regression discontinuity design. We compare individuals just before and after their twenty \\\",\\\"Gross_Tal_\\\",\\\"Tal Gross\\\",\\\"Gross\\\",\\\"Tal\\\",\\\"\\\"\\n\\\"Particulate pollution and the productivity of pear packers\\\",\\\"Chang, Tom and Zivin, Joshua S Graff and Gross, Tal and Neidell, Matthew J\\\",\\\"2014\\\",\\\"59\\\",\\\"techreport\\\",\\\"None\\\",\\\"http://www.nber.org/papers/w19944\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=9590082829170411170&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:ooZGz4XRFoUJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjZXplWnXOY0ZJDwHhiC9XsG3v5Rfcc&scisf=4&ct=citation&cd=2&hl=en\\\",\\\"20\\\",\\\"9590082829170411170\\\",\\\"http://scholar.google.com/scholar?cluster=9590082829170411170&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"ABSTRACT We study the effect of outdoor air pollution on the productivity of indoor workers at a pear-packing factory. We focus on fine particulate matter (PM2. 5), a harmful pollutant that easily penetrates indoor settings. We find that an increase in PM2. 5 outdoors leads to a \\\",\\\"Gross_Tal_\\\",\\\"Tal Gross\\\",\\\"Gross\\\",\\\"Tal\\\",\\\"\\\"\\n\\\"Liquidity constraints and consumer bankruptcy: Evidence from tax rebates\\\",\\\"Gross, Tal and Notowidigdo, Matthew J and Wang, Jialan\\\",\\\"2014\\\",\\\"48\\\",\\\"article\\\",\\\"Review of Economics and Statistics\\\",\\\"http://www.mitpressjournals.org/doi/abs/10.1162/REST_a_00391\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=12428826240389787616&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:4K98aZ0PfKwJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjZXhapqQ7ICdEf0-vgonx9c_yeudNg&scisf=4&ct=citation&cd=3&hl=en\\\",\\\"29\\\",\\\"12428826240389787616\\\",\\\"http://scholar.google.com/scholar?cluster=12428826240389787616&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"Abstract We estimate the extent to which legal and administrative fees prevent liquidity-constrained households from declaring bankruptcy. To do so, we study how the 2001 and 2008 tax rebates affected consumer bankruptcy filings. We exploit the randomized timing of \\\",\\\"Gross_Tal_\\\",\\\"Tal Gross\\\",\\\"Gross\\\",\\\"Tal\\\",\\\"\\\"\\n\\\"Dangerous liquidity and the demand for health care evidence from the 2008 stimulus payments\\\",\\\"Gross, Tal and Tobacman, Jeremy\\\",\\\"2014\\\",\\\"8\\\",\\\"article\\\",\\\"Journal of Human Resources\\\",\\\"http://jhr.uwpress.org/content/49/2/424.short\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=9327035746528980727&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:9-46P5hJcIEJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjZXuttQfDvkaR2D6iXnvv-h28BQQuB&scisf=4&ct=citation&cd=4&hl=en\\\",\\\"10\\\",\\\"9327035746528980727\\\",\\\"http://scholar.google.com/scholar?cluster=9327035746528980727&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"Abstract Household finances can affect health and health care through several channels. To explore these channels, we exploit the randomized timing of the arrival of the 2008 Economic Stimulus Payments. We find that the payments raised the probability of an adult \\\",\\\"Gross_Tal_\\\",\\\"Tal Gross\\\",\\\"Gross\\\",\\\"Tal\\\",\\\"\\\"\\n\\\"The Effect of Pollution on Worker Productivity: Evidence from Call-Center Workers in China\\\",\\\"Chang, Tom and Zivin, Joshua Graff and Gross, Tal and Neidell, Matthew\\\",\\\"2016\\\",\\\"12\\\",\\\"techreport\\\",\\\"None\\\",\\\"http://www.nber.org/papers/w22328\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=17304605776333762168&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:eO6LFEVPJvAJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjZXsJIL4yP96qDJlTzL_d0tRC2jhA6&scisf=4&ct=citation&cd=5&hl=en\\\",\\\"15\\\",\\\"17304605776333762168\\\",\\\"http://scholar.google.com/scholar?cluster=17304605776333762168&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"ABSTRACT We investigate the effect of pollution on worker productivity in the service sector by focusing on two call centers in China. Using precise measures of each worker's daily output linked to daily measures of pollution and meteorology, we find that higher levels of air \\\",\\\"Gross_Tal_\\\",\\\"Tal Gross\\\",\\\"Gross\\\",\\\"Tal\\\",\\\"\\\"\\n\\\"Insurance Expansion and Hospital Emergency Department Access: Evidence From the Affordable Care ActInsurance Expansion and Hospital Emergency Department  …\\\",\\\"Garthwaite, Craig and Gross, Tal and Notowidigdo, Matthew and Graves, John A\\\",\\\"2016\\\",\\\"0\\\",\\\"article\\\",\\\"Annals of Internal Medicine\\\",\\\"http://annals.org/aim/article/2593599/insurance-expansion-hospital-emergency-department-access-evidence-from-affordable-care\\\",\\\"None\\\",\\\"None\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:2LXunR3qH60J:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjZXt0E1FOA6N1WtVguk2enz1rpJd4j&scisf=4&ct=citation&cd=6&hl=en\\\",\\\"2\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cluster=12474946905764181464&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"Background: Little is known about whether insurance expansion affects the location and type of emergency department (ED) use. Understanding these changes can inform state-level decisions about the Medicaid expansion under the Patient Protection and Affordable \\\",\\\"Gross_Tal_\\\",\\\"Tal Gross\\\",\\\"Gross\\\",\\\"Tal\\\",\\\"\\\"\\n\\\"The marginal propensity to consume over the business cycle\\\",\\\"Gross, Tal and Notowidigdo, Matthew J and Wang, Jialan\\\",\\\"2016\\\",\\\"4\\\",\\\"techreport\\\",\\\"None\\\",\\\"http://www.nber.org/papers/w22518\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=2912035514262562259&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:0yXxIN-gaSgJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjZXvzAw78uJsHklHc6oi5GrjGPGhe2&scisf=4&ct=citation&cd=7&hl=en\\\",\\\"7\\\",\\\"2912035514262562259\\\",\\\"http://scholar.google.com/scholar?cluster=2912035514262562259&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"ABSTRACT This paper estimates how the marginal propensity to consume (MPC) varies over the business cycle by exploiting exogenous variation in credit card borrowing limits. Ten years after an individual declares Chapter 7 bankruptcy, the record of the bankruptcy is \\\",\\\"Gross_Tal_\\\",\\\"Tal Gross\\\",\\\"Gross\\\",\\\"Tal\\\",\\\"\\\"\\n\\\"How did the Great Recession affect payday loans?\\\",\\\"Agarwal, Sumit and Gross, Tal and Mazumder, Bhashkar and others\\\",\\\"2016\\\",\\\"1\\\",\\\"article\\\",\\\"Economic Perspectives\\\",\\\"http://scholar.google.com/https://www.chicagofed.org/~/media/publications/economic-perspectives/2016/ep2016-2-pdf.pdf\\\",\\\"http://scholar.google.com/https://www.chicagofed.org/~/media/publications/economic-perspectives/2016/ep2016-2-pdf.pdf\\\",\\\"http://scholar.google.com/scholar?cites=11510428849040542939&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:20x4pw1CvZ8J:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjZXgkL7QmRHmHUsMkGMr5xlhLD5oIs&scisf=4&ct=citation&cd=8&hl=en\\\",\\\"5\\\",\\\"11510428849040542939\\\",\\\"http://scholar.google.com/scholar?cluster=11510428849040542939&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"The sharp decline in the US economy that began in 2007, commonly referred to as the Great Recession, made it very difficult for many Americans to borrow. According to the Senior Loan Officer Survey conducted by the Board of Governors of the Federal Reserve System, banks \\\",\\\"Gross_Tal_\\\",\\\"Tal Gross\\\",\\\"Gross\\\",\\\"Tal\\\",\\\"\\\"\\n\\\"Risk of bankruptcy among applicants to disability insurance\\\",\\\"Gross, Tal and Trenkamp, Brad\\\",\\\"2015\\\",\\\"1\\\",\\\"article\\\",\\\"Journal of health care for the poor and underserved\\\",\\\"http://scholar.google.com/https://muse.jhu.edu/article/597752/summary\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=8076036273470386004&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:VC9fuTPYE3AJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQjZXuKzkfNPEKibgERs5PakzzE6mtc3&scisf=4&ct=citation&cd=9&hl=en\\\",\\\"4\\\",\\\"8076036273470386004\\\",\\\"http://scholar.google.com/scholar?cluster=8076036273470386004&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"Background. Poor health can lead to financial instability and, eventually, bankruptcy. We examined how entrance into the Social Security Disability Insurance (SSDI) program was associated with bankruptcy filings among those who had a disability and applied to the SSDI \\\",\\\"Gross_Tal_\\\",\\\"Tal Gross\\\",\\\"Gross\\\",\\\"Tal\\\",\\\"\\\"\\n\\\"IV Quantile Regression for Group‐Level Treatments, With an Application to the Distributional Effects of Trade\\\",\\\"Chetverikov, Denis and Larsen, Bradley and Palmer, Christopher\\\",\\\"2016\\\",\\\"17\\\",\\\"article\\\",\\\"Econometrica\\\",\\\"http://onlinelibrary.wiley.com/doi/10.3982/ECTA12121/full\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=9587508380799607654&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:ZiOkVhOsDYUJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQnmx0FCVWKHADu609g7mPyG6OdIGI0e&scisf=4&ct=citation&cd=0&hl=en\\\",\\\"19\\\",\\\"9587508380799607654\\\",\\\"http://scholar.google.com/scholar?cluster=9587508380799607654&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"Abstract We present a methodology for estimating the distributional effects of an endogenous treatment that varies at the group level when there are group-level unobservables, a quantile extension of Hausman and Taylor, 1981. Because of the \\\",\\\"Palmer_Christopher_John\\\",\\\"Christopher John Palmer\\\",\\\"Palmer\\\",\\\"Christopher\\\",\\\"John\\\"\\n\\\"Errors in the Dependent Variable of Quantile Regression Models\\\",\\\"Hausman, Jerry and Luo, Ye and Palmer, Christopher\\\",\\\"2014\\\",\\\"4\\\",\\\"techreport\\\",\\\"None\\\",\\\"http://www.princeton.edu/~erp/erp%20seminar%20pdfs/HLP-QR%20EIV-April-2016%20paper%20(Hausman).pdf\\\",\\\"http://www.princeton.edu/~erp/erp%20seminar%20pdfs/HLP-QR%20EIV-April-2016%20paper%20(Hausman).pdf\\\",\\\"http://scholar.google.com/scholar?cites=15584276207904259431&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:Z320XaR4RtgJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQnmx3lJuQffAEqh1lnPSjbg_DNE1QOY&scisf=4&ct=citation&cd=1&hl=en\\\",\\\"9\\\",\\\"15584276207904259431\\\",\\\"http://scholar.google.com/scholar?cluster=15584276207904259431&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"Abstract. The usual quantile regression estimator of Koenker and Bassett (1978) is biased if there is an additive error term in the dependent variable. We analyze this problem as an errors-in-variables problem where the dependent variable suffers from classical \\\",\\\"Palmer_Christopher_John\\\",\\\"Christopher John Palmer\\\",\\\"Palmer\\\",\\\"Christopher\\\",\\\"John\\\"\\n\\\"IV Quantile Regression for Group-level Treatments, with an Application to the Effects of Trade on the Distribution of Wages\\\",\\\"Chetverikov, Denis and Larsen, Bradley and Palmer, Christopher\\\",\\\"2013\\\",\\\"8\\\",\\\"article\\\",\\\"None\\\",\\\"http://scholar.google.com/https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2370140\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=8788611858985173957&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:xcOY8-tr93kJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQnmx0mUlRf9UPD8YAcsT_UQtDxPNbbL&scisf=4&ct=citation&cd=2&hl=en\\\",\\\"4\\\",\\\"8788611858985173957\\\",\\\"http://scholar.google.com/scholar?cluster=8788611858985173957&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"Abstract: We present a methodology for estimating the distributional effects of an endogenous treatment that varies at the group level when there are group-level unobservables, a quantile extension of Hausman and Taylor (1981). Standard quantile \\\",\\\"Palmer_Christopher_John\\\",\\\"Christopher John Palmer\\\",\\\"Palmer\\\",\\\"Christopher\\\",\\\"John\\\"\\n\\\"Why did so many subprime borrowers default during the crisis: loose credit or plummeting prices?\\\",\\\"Palmer, Christopher\\\",\\\"2015\\\",\\\"27\\\",\\\"article\\\",\\\"None\\\",\\\"http://scholar.google.com/https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2665762\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=18110236774396191980&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:7OQZ6GR8VPsJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQnmx-yKV44tzYXapCxm2z9ekYBvQkoi&scisf=4&ct=citation&cd=3&hl=en\\\",\\\"9\\\",\\\"18110236774396191980\\\",\\\"http://scholar.google.com/scholar?cluster=18110236774396191980&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"Abstract: The surge in subprime mortgage defaults during the Great Recession triggered trillions of dollars of losses in the financial sector and accounted for more than 50% of foreclosures at the height of the crisis. In particular, subprime mortgages originated in 2006-\\\",\\\"Palmer_Christopher_John\\\",\\\"Christopher John Palmer\\\",\\\"Palmer\\\",\\\"Christopher\\\",\\\"John\\\"\\n\\\"Essays on the functioning of housing and labor markets\\\",\\\"Palmer, Christopher John\\\",\\\"2014\\\",\\\"0\\\",\\\"phdthesis\\\",\\\"None\\\",\\\"http://scholar.google.com/https://dspace.mit.edu/handle/1721.1/90127\\\",\\\"None\\\",\\\"None\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:oqvl8_RTVsoJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQnmxyK9hsNOcjq8HzlPgP62sl8I1BFP&scisf=4&ct=citation&cd=4&hl=en\\\",\\\"0\\\",\\\"None\\\",\\\"None\\\",\\\"The first chapter consists of my job-market paper. The foreclosure rate of sub-prime mortgages increased markedly across 2003-2007 borrower cohorts-sub-prime mortgages originated in 2006-2007 were roughly three times more likely to default within three years of \\\",\\\"Palmer_Christopher_John\\\",\\\"Christopher John Palmer\\\",\\\"Palmer\\\",\\\"Christopher\\\",\\\"John\\\"\\n\\\"MEASUREMENT ERRORS IN THE DEPENDENT VARIABLE OF QUANTILE REGRESSION MODELS\\\",\\\"HAUSMAN, JERRY and LUO, YE and PALMER, CHRISTOPHER\\\",\\\"2016\\\",\\\"0\\\",\\\"article\\\",\\\"None\\\",\\\"None\\\",\\\"None\\\",\\\"None\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:s02ivLIFnP8J:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQnmx7KnrBneUl3VzWHBP0BP3p_f9S0J&scisf=4&ct=citation&cd=5&hl=en\\\",\\\"0\\\",\\\"None\\\",\\\"None\\\",\\\"None\\\",\\\"Palmer_Christopher_John\\\",\\\"Christopher John Palmer\\\",\\\"Palmer\\\",\\\"Christopher\\\",\\\"John\\\"\\n\\\"Defining soldier equipment trade space: load effects on combat marksmanship and perception–action coupling\\\",\\\"Palmer, Christopher J and Bigelow, Carol and Van Emmerik, Richard EA\\\",\\\"2013\\\",\\\"8\\\",\\\"article\\\",\\\"Ergonomics\\\",\\\"http://www.tandfonline.com/doi/abs/10.1080/00140139.2013.832805\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=15303862040150328894&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:Psa-MnE9YtQJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQnmx8kHVpePCJwD2iXq4Dg9fozLU6pY&scisf=4&ct=citation&cd=6&hl=en\\\",\\\"7\\\",\\\"15303862040150328894\\\",\\\"http://scholar.google.com/scholar?cluster=15303862040150328894&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"Soldier equipment compromises task performance as temporal constraints during critical situations and load increase inertial and interactive forces during movement. Methods are necessary to optimise equipment that relate task performance to underlying coordination \\\",\\\"Palmer_Christopher_John\\\",\\\"Christopher John Palmer\\\",\\\"Palmer\\\",\\\"Christopher\\\",\\\"John\\\"\\n\\\"Housing market spillovers: Evidence from the end of rent control in Cambridge, Massachusetts\\\",\\\"Autor, David H and Palmer, Christopher J and Pathak, Parag A\\\",\\\"2014\\\",\\\"35\\\",\\\"article\\\",\\\"Journal of Political Economy\\\",\\\"http://www.journals.uchicago.edu/doi/abs/10.1086/675536\\\",\\\"None\\\",\\\"http://scholar.google.com/scholar?cites=17656530490840325056&as_sdt=2005&sciodt=1,5&hl=en\\\",\\\"http://scholar.googleusercontent.com/scholar.bib?q=info:wBtk4O6YCPUJ:scholar.google.com/&output=citation&scisig=AAGBfm0AAAAAWQnmxx3GJ-3xczs6OkfDuFUh0CwbYE-M&scisf=4&ct=citation&cd=7&hl=en\\\",\\\"19\\\",\\\"17656530490840325056\\\",\\\"http://scholar.google.com/scholar?cluster=17656530490840325056&hl=en&as_sdt=1,5&as_ylo=2013\\\",\\\"We measure the capitalization of housing market externalities into residential housing values by studying the unanticipated elimination of stringent rent controls in Cambridge, Massachusetts, in 1995. Pooling data on the universe of assessed values and transacted \\\",\\\"Palmer_Christopher_John\\\",\\\"Christopher John Palmer\\\",\\\"Palmer\\\",\\\"Christopher\\\",\\\"John\\\"\\n\\n\\nTopic,Top Terms\\nBioinformatics,instruction set pipelined timing encoding hardware/software custom structures register application-specific sharing emulation reordering reducing resource static high sequences compression coverage\\nEmbedded Systems,energy methodology vliw optimizations compiler optimizing low module instruction switch bus global testing optimization custom implementation compression access fault concurrent\\nCircuits and VLSI design,optimization synthesis scheduling binding high-level during resource sizing behavioral distributed energy problem planning accurate low effects application register rtl hierarchical\\nCircuits and VLSI design-1,logic optimization based combinational arrays methodology symbolic computation implications modules reliability exploiting yield synchronous boolean access simulation sequences microprocessor static\\nEmbedded Systems-1,hardware faults using codesign signal digital processing testing cores chain linear energy-efficient transition scheme environment ilp concurrent coverage boolean systemc\\nCircuits and VLSI design-2,mapping fpga technology sequential application decomposition lut-based designs evaluation fast structural clock machine boolean fault high concurrent coverage floorplan satisfiability\\nCircuits and VLSI design-3,using effective memories blocks large applications compaction block cell path rectilinear multiple effects framework selection code fault congestion cmos compression\\nNetworking,placement code scheduling leakage register optimal using pipelining multiple data loops dual assignment simultaneous energy-efficient dynamic synchronous heterogeneous datapath compression\\nEmbedded Systems-2,architecture validation crosstalk interconnect method compact wire methodologies over sequential tools language customization selection high-level fault survey floorplan concurrent environment\\nEmbedded Systems-3,efficient low-power synthesis vlsi placement gating from buffer testing synchronous specification specifications dataflow partial stochastic reducing high-level cell technique voltage\\nSoft Computing,data control dynamic detection technique management reuse input error scheme level designs simultaneous register fault properties rate cmos caches temporal\\nEmbedded Systems-4,synthesis automatic multiple floorplanning formal behavioral dynamic using integration probabilistic planning fpga retiming platform sequential temporal physical hardware/software interconnect integrated\\nEmbedded Systems-5,modeling via high-level efficient microprocessors level area layout error simulation switch rtl tools heterogeneous clustering programmable floorplan rate fault satisfiability\\nCircuits and VLSI design-4,optimization voltage assignment clock under timing hybrid constraint tree skew router routability area insertion soc variations global sequences floorplan access\\nStatistical Computing,on-chip communication process synthesis exploration trade-offs approaches random architectural datapath programmable method bus network-on-chip survey microprocessor customization evaluation boolean environment\\nComputer Architecture,applications multiprocessor real-time exploration space soc energy computation system-on-chip system-level exploiting reducing reliability constraints coverage compression concurrent high floorplan satisfiability\\nEmbedded Systems-6,parallel editorial special introduction section acm platforms chip new issue todaes automation hardware programming concurrent environment static boolean satisfiability implementation\\nMetaheuristics,partitioning fpgas functional constraints performance scheduling structural resource-constrained fast computing problem over improved temporal caches programming high fault survey clustering\\nDiscrete Structures,minimization optimal high-performance based clock simultaneous steiner construction rectilinear tree low path system-on-chip machines access sequences boolean properties floorplan integrated\\nPlatform-based Development,system adaptive management allocation partitioning virtual channel heterogeneous hardware-software machines network-on-chip problem computing energy-efficient energy fault environment congestion cmos caches\\nCircuits and VLSI design-5,analog fast processor models low-power network heuristic linear accurate ilp yield simulation satisfiability integrated implementation caches coverage boolean customization rate\\nEmbedded Systems-7,synthesis networks system-level flow sensor wireless node transformation physical minimization processing platform controllers congestion concurrent static coverage properties boolean environment\\nLogic and Inference,using simulation machine state graphs finite logic framework language decomposition network boolean properties customization fault systemc environment rate coverage transition\\nEmbedded Systems-8,using checking equivalence formal sequential datapaths programs rtl controllers retiming virtual systemc concurrent integrated coverage fault high survey floorplan static\\nCircuits and VLSI design-6,designs thermal efficient runtime monitoring through adaptive online phase floorplans mpsoc reliability modeling buffer variations performance architectural implementation coverage survey\\nEmbedded Systems-9,estimation cache framework code performance size processor storage hierarchical compilation modeling incremental data applications minimization retargetable transformations optimized selection improved\\n\\n\\n\\\"Bug ID\\\",\\\"Product\\\",\\\"Component\\\",\\\"Assignee\\\",\\\"Status\\\",\\\"Resolution\\\",\\\"Summary\\\",\\\"Changed\\\"\\n560609,\\\"App4mc\\\",\\\"General\\\",\\\"app4mc-inbox\\\",\\\"UNCONFIRMED\\\",\\\" ---\\\",\\\"Update/create Oomph setup\\\",\\\"2020-07-20 07:51:09\\\"\\n562820,\\\"App4mc\\\",\\\"UI\\\",\\\"app4mc-inbox\\\",\\\"UNCONFIRMED\\\",\\\" ---\\\",\\\"App4mc crashes on visualizing items on non x11 display servers\\\",\\\"2020-05-05 06:11:46\\\"\\n568236,\\\"App4mc\\\",\\\"Cloud\\\",\\\"app4mc-inbox\\\",\\\"UNCONFIRMED\\\",\\\" ---\\\",\\\"User interface improvement for APP4MC Cloud\\\",\\\"2020-10-28 07:50:39\\\"\\n568349,\\\"App4mc\\\",\\\"Models\\\",\\\"app4mc-inbox\\\",\\\"UNCONFIRMED\\\",\\\" ---\\\",\\\"support to SCHED_DEADLINE Linux real-time policy\\\",\\\"2020-10-28 15:18:09\\\"\\n562791,\\\"App4mc\\\",\\\"General\\\",\\\"app4mc-inbox\\\",\\\"NEW\\\",\\\" ---\\\",\\\"[GSOC2020] Response Time Analysis for Multi-Core Non-Preemptive Scheduling\\\",\\\"2020-08-24 07:06:21\\\"\\n562792,\\\"App4mc\\\",\\\"General\\\",\\\"app4mc-inbox\\\",\\\"NEW\\\",\\\" ---\\\",\\\"[GSOC2020] Worst-case response time analysis for fixed-priority scheduling with deferred preemptions\\\",\\\"2020-07-31 08:51:32\\\"\\n562793,\\\"App4mc\\\",\\\"General\\\",\\\"app4mc-inbox\\\",\\\"NEW\\\",\\\" ---\\\",\\\"[GSOC2020] B​locking time analysis for non-preemptive and deferred preemptive scheduling\\\",\\\"2020-08-24 07:06:24\\\"\\n535601,\\\"App4mc\\\",\\\"Models\\\",\\\"app4mc-inbox\\\",\\\"ASSIGNED\\\",\\\" ---\\\",\\\"Add/extend unit tests for model utilities\\\",\\\"2020-08-06 07:26:22\\\"\\n563666,\\\"App4mc\\\",\\\"General\\\",\\\"app4mc-inbox\\\",\\\"ASSIGNED\\\",\\\" ---\\\",\\\"Fix Sonar issues to improve code quality\\\",\\\"2020-08-06 07:20:17\\\"\\n563161,\\\"App4mc\\\",\\\"General\\\",\\\"dirk.fauth\\\",\\\"ASSIGNED\\\",\\\" ---\\\",\\\"Update build process of tools model transformation\\\",\\\"2020-08-06 07:34:24\\\"\\n559121,\\\"App4mc\\\",\\\"Models\\\",\\\"harald.mackamul\\\",\\\"ASSIGNED\\\",\\\" ---\\\",\\\"Add scalability class in OsOverhead\\\",\\\"2020-07-20 03:54:22\\\"\\n565165,\\\"App4mc\\\",\\\"Models\\\",\\\"harald.mackamul\\\",\\\"ASSIGNED\\\",\\\" ---\\\",\\\"Reduce dependencies to Eclipse Sphinx framework\\\",\\\"2020-07-13 02:38:41\\\"\\n567872,\\\"App4mc\\\",\\\"General\\\",\\\"app4mc-inbox\\\",\\\"RESOLVED\\\",\\\"FIXED\\\",\\\"Transformation: build and activation order issues\\\",\\\"2020-11-20 04:17:53\\\"\\n565835,\\\"App4mc\\\",\\\"Models\\\",\\\"harald.mackamul\\\",\\\"RESOLVED\\\",\\\"FIXED\\\",\\\"Remove ProcessEventType \\\"\\\"deadline\\\"\\\"\\\",\\\"2020-08-05 11:11:09\\\"\\n536484,\\\"App4mc\\\",\\\"Website\\\",\\\"app4mc-inbox\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Update App4mc Hugo Theme to latest version\\\",\\\"2018-09-24 08:35:15\\\"\\n560349,\\\"App4mc\\\",\\\"General\\\",\\\"app4mc-inbox\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Modernize model validation\\\",\\\"2020-07-20 03:44:14\\\"\\n562578,\\\"App4mc\\\",\\\"Model Migration\\\",\\\"app4mc-inbox\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Model loading should be done lazily\\\",\\\"2020-08-06 07:36:07\\\"\\n563319,\\\"App4mc\\\",\\\"General\\\",\\\"app4mc-inbox\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Create signed .dmg file for MacOS\\\",\\\"2020-07-20 05:15:02\\\"\\n564683,\\\"App4mc\\\",\\\"Model Migration\\\",\\\"app4mc-inbox\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Correct logging configuration\\\",\\\"2020-08-06 07:46:41\\\"\\n564788,\\\"App4mc\\\",\\\"General\\\",\\\"app4mc-inbox\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Provide model version supported by the editor via injection\\\",\\\"2020-08-06 07:41:53\\\"\\n568205,\\\"App4mc\\\",\\\"Help\\\",\\\"app4mc-inbox\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Library ConstraintsUtil not in the manual\\\",\\\"2020-11-30 11:51:28\\\"\\n553054,\\\"App4mc\\\",\\\"Model Migration\\\",\\\"dirk.fauth\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Refactoring of migration code base\\\",\\\"2020-08-06 07:32:39\\\"\\n558346,\\\"App4mc\\\",\\\"Model Migration\\\",\\\"dirk.fauth\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Migrate extension points to declarative services\\\",\\\"2020-02-20 00:41:23\\\"\\n558347,\\\"App4mc\\\",\\\"Model Migration\\\",\\\"dirk.fauth\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Fix dialogs\\\",\\\"2020-02-20 00:41:00\\\"\\n558348,\\\"App4mc\\\",\\\"Model Migration\\\",\\\"dirk.fauth\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Add a headless product export\\\",\\\"2020-02-20 00:40:19\\\"\\n558399,\\\"App4mc\\\",\\\"Model Migration\\\",\\\"dirk.fauth\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Fix for Sonar blocker issues\\\",\\\"2020-02-04 02:35:48\\\"\\n558428,\\\"App4mc\\\",\\\"Model Migration\\\",\\\"dirk.fauth\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Configure jacoco plugin to create coverage reports correctly\\\",\\\"2020-02-04 02:35:03\\\"\\n559112,\\\"App4mc\\\",\\\"Model Migration\\\",\\\"dirk.fauth\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Support event based migration trigger\\\",\\\"2020-02-04 02:35:29\\\"\\n559232,\\\"App4mc\\\",\\\"General\\\",\\\"dirk.fauth\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Remove jdom2 and jaxen\\\",\\\"2020-02-20 00:38:24\\\"\\n559969,\\\"App4mc\\\",\\\"Model Migration\\\",\\\"dirk.fauth\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Regression in migration from 0.8.3 to 0.9.0\\\",\\\"2020-07-20 03:48:56\\\"\\n559976,\\\"App4mc\\\",\\\"Model Migration\\\",\\\"dirk.fauth\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Missing handling of amlt://# reference\\\",\\\"2020-07-20 03:49:16\\\"\\n560231,\\\"App4mc\\\",\\\"General\\\",\\\"dirk.fauth\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Update to pomless Tycho 1.6\\\",\\\"2020-07-20 04:40:56\\\"\\n560261,\\\"App4mc\\\",\\\"General\\\",\\\"dirk.fauth\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Update target platform to 2019-12\\\",\\\"2020-07-20 03:48:25\\\"\\n560369,\\\"App4mc\\\",\\\"General\\\",\\\"dirk.fauth\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Change product definition to allow modular updates\\\",\\\"2020-07-20 03:45:13\\\"\\n560551,\\\"App4mc\\\",\\\"General\\\",\\\"dirk.fauth\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"[SCA2AMALTHEA] Fix build and version\\\",\\\"2020-08-06 07:31:49\\\"\\n560604,\\\"App4mc\\\",\\\"General\\\",\\\"dirk.fauth\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Consume PlantUML and remove local managed version\\\",\\\"2020-07-20 04:40:11\\\"\\n561097,\\\"App4mc\\\",\\\"General\\\",\\\"dirk.fauth\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Add model visualization framework\\\",\\\"2020-07-20 03:55:50\\\"\\n561195,\\\"App4mc\\\",\\\"General\\\",\\\"dirk.fauth\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Update target definition and product\\\",\\\"2020-07-20 04:40:39\\\"\\n561196,\\\"App4mc\\\",\\\"UI\\\",\\\"dirk.fauth\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Update hardware visualization\\\",\\\"2020-07-20 03:51:01\\\"\\n561236,\\\"App4mc\\\",\\\"General\\\",\\\"dirk.fauth\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Update EMF Graphical Viewer\\\",\\\"2020-07-20 03:52:59\\\"\\n562244,\\\"App4mc\\\",\\\"Model Migration\\\",\\\"dirk.fauth\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Exceptions in AbstractMigrationStarter with Tycho Surefire\\\",\\\"2020-07-20 03:55:01\\\"\\n562829,\\\"App4mc\\\",\\\"Model Migration\\\",\\\"dirk.fauth\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"NPE on migration with activated WorkingSets\\\",\\\"2020-08-06 07:45:33\\\"\\n563625,\\\"App4mc\\\",\\\"General\\\",\\\"dirk.fauth\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Remove unnecessary Activator\\\",\\\"2020-08-06 07:37:33\\\"\\n564324,\\\"App4mc\\\",\\\"Model Migration\\\",\\\"dirk.fauth\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Add support for migrating zipped amxmi files\\\",\\\"2020-08-06 07:42:39\\\"\\n565699,\\\"App4mc\\\",\\\"Model Migration\\\",\\\"dirk.fauth\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Add support for bulk migration\\\",\\\"2020-08-06 07:19:45\\\"\\n567065,\\\"App4mc\\\",\\\"UI\\\",\\\"dirk.fauth\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Add possibility to refresh a pinned visualization\\\",\\\"2020-11-30 12:19:01\\\"\\n529831,\\\"App4mc\\\",\\\"Models\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Rework stimuli definition\\\",\\\"2018-01-30 10:02:52\\\"\\n529832,\\\"App4mc\\\",\\\"Models\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Add a port reference to AUTOSAR communication items (Sender Receiver, Client Server)\\\",\\\"2018-01-30 10:03:04\\\"\\n533251,\\\"App4mc\\\",\\\"Models\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"WORKSFORME\\\",\\\"Task deadlines migration: From software model to constraints model\\\",\\\"2020-02-20 00:45:37\\\"\\n535599,\\\"App4mc\\\",\\\"Models\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Add basic validations for the new hardware model\\\",\\\"2018-08-02 07:33:23\\\"\\n535600,\\\"App4mc\\\",\\\"Models\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Rework mechanism to provide transient back references\\\",\\\"2018-08-02 07:33:35\\\"\\n540210,\\\"App4mc\\\",\\\"Models\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Add additional hardware model validations for structures and definitions\\\",\\\"2018-10-31 08:39:45\\\"\\n540501,\\\"App4mc\\\",\\\"UI\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Extend the model search\\\",\\\"2018-10-31 08:28:32\\\"\\n541556,\\\"App4mc\\\",\\\"Models\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Introduce (Execution)Ticks to describe the low level computation effort\\\",\\\"2019-05-02 03:37:37\\\"\\n541557,\\\"App4mc\\\",\\\"Models\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Simplify ExecutionNeed (without PU specific items)\\\",\\\"2019-05-02 03:37:50\\\"\\n541558,\\\"App4mc\\\",\\\"Models\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Use ExecutionTicks instead of ExecutionNeeds to describe Scheduler computation\\\",\\\"2019-05-02 03:37:21\\\"\\n541559,\\\"App4mc\\\",\\\"Models\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Replace OSInstructions with \\\"\\\"OsOverhead\\\"\\\" -> Ticks instead of Instructions\\\",\\\"2019-05-02 03:37:03\\\"\\n541560,\\\"App4mc\\\",\\\"Models\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Remove Instructions (no replacement of instruction fetch !)\\\",\\\"2019-05-02 03:36:50\\\"\\n545292,\\\"App4mc\\\",\\\"Models\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"DataTypeDefinition element should contain size attribute\\\",\\\"2019-05-02 03:30:26\\\"\\n545399,\\\"App4mc\\\",\\\"Models\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Rename DataTypeMapping to avoid mix-up with mapping to memory\\\",\\\"2019-05-02 03:29:48\\\"\\n545414,\\\"App4mc\\\",\\\"Models\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Remove attribute \\\"\\\"deadline\\\"\\\" from Runnable class\\\",\\\"2019-05-02 03:30:00\\\"\\n545772,\\\"App4mc\\\",\\\"Models\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Extend mode definition to support numeric values (in addition to enumerations)\\\",\\\"2019-05-02 03:30:08\\\"\\n545979,\\\"App4mc\\\",\\\"Models\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Unify the use of ModeConditions\\\",\\\"2019-05-02 03:30:17\\\"\\n546656,\\\"App4mc\\\",\\\"General\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Reduce mirror disk space of app4mc\\\",\\\"2019-06-21 04:59:25\\\"\\n548232,\\\"App4mc\\\",\\\"Help\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Dead links to examples in help for 0.9.4\\\",\\\"2019-07-31 10:06:51\\\"\\n549047,\\\"App4mc\\\",\\\"Models\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Consolidate Call Graph: Unify items of tasks and runnables and remove call sequences\\\",\\\"2019-07-31 10:07:16\\\"\\n549049,\\\"App4mc\\\",\\\"Models\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Simplify clock definitions (used in scenarios of variable rate stimuli)\\\",\\\"2019-07-31 10:08:01\\\"\\n549276,\\\"App4mc\\\",\\\"Model Migration\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"OsOverheadAPIIOCRead not migrated\\\",\\\"2019-12-04 07:51:33\\\"\\n549277,\\\"App4mc\\\",\\\"Models\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Limit frequency values to non negative values (greater or equal 0)\\\",\\\"2019-07-31 10:07:33\\\"\\n550655,\\\"App4mc\\\",\\\"Models\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Missing Counter(prescaler and offset) on RunnableCall entry created inside a Task\\\",\\\"2020-02-20 00:46:33\\\"\\n551159,\\\"App4mc\\\",\\\"Model Migration\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"WONTFIX\\\",\\\"Meta model contains references that are removed according to documentation\\\",\\\"2019-11-04 11:56:24\\\"\\n551371,\\\"App4mc\\\",\\\"General\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Problem loading converted Amalthea model in Java example project\\\",\\\"2020-08-06 07:39:47\\\"\\n552090,\\\"App4mc\\\",\\\"Models\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Add a mode condition that compares the values of two mode labels\\\",\\\"2019-11-04 11:49:51\\\"\\n553031,\\\"App4mc\\\",\\\"Models\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Simplify port definition in the Components model\\\",\\\"2020-02-04 04:51:02\\\"\\n553750,\\\"App4mc\\\",\\\"Model Migration\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Clocks not correctly migrated\\\",\\\"2020-02-04 04:51:44\\\"\\n559775,\\\"App4mc\\\",\\\"Website\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"online help still 0.9.6, but plugin 0.9.7 released\\\",\\\"2020-02-20 00:37:50\\\"\\n560587,\\\"App4mc\\\",\\\"UI\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Provide additional information in the validation selection dialog\\\",\\\"2020-08-06 07:19:15\\\"\\n567513,\\\"App4mc\\\",\\\"General\\\",\\\"harald.mackamul\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"\\\"\\\"no-load\\\"\\\" Nature throws Exceptions\\\",\\\"2020-11-30 12:19:27\\\"\\n549487,\\\"App4mc\\\",\\\"General\\\",\\\"robert.hoettger\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"RuntimeUtil does not consider TimeType correctly\\\",\\\"2020-02-20 00:46:12\\\"\\n536953,\\\"App4mc\\\",\\\"Models\\\",\\\"zakirhussain.meer\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"bug in model migration (0.8.2 to 0.8.3) of VariableRateStimulus and SporadicStimulus elements\\\",\\\"2018-08-02 07:33:52\\\"\\n537605,\\\"App4mc\\\",\\\"Model Migration\\\",\\\"zakirhussain.meer\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Model Migration issue (0.8.3 to 0.9.0) : All CORE elements (from different MicroControllers) are associated inside a single HWStructure (of type MicroController)\\\",\\\"2018-10-31 08:41:21\\\"\\n539380,\\\"App4mc\\\",\\\"Model Migration\\\",\\\"zakirhussain.meer\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Migration of a 0.8.3 Hardware model with local memory - missing reference from memory to definition\\\",\\\"2018-10-31 08:37:59\\\"\\n540311,\\\"App4mc\\\",\\\"Model Migration\\\",\\\"zakirhussain.meer\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Model migration (0.8.3 to 0.9.x) :references are wrongly encoded if element name definition contains spaces\\\",\\\"2018-10-31 08:45:00\\\"\\n543414,\\\"App4mc\\\",\\\"Model Migration\\\",\\\"zakirhussain.meer\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"Missing HWFeatureCategory \\\"\\\"Instructions\\\"\\\" after the migration of RunnableInstructions ->\\\"\\\"extended elements\\\"\\\" (0.8.3 to 0.9.0 model migration)\\\",\\\"2019-05-02 03:35:54\\\"\\n565955,\\\"App4mc\\\",\\\"Models\\\",\\\"zakirhussain.meer\\\",\\\"CLOSED\\\",\\\"FIXED\\\",\\\"getAssignedCoreForProcess function returns null for hierarchical schedulers\\\",\\\"2020-11-30 12:20:36\\\"\\n\\nfinal_accuracy_%, batch_size, learning_rate, gamma\\n96.503, 16, 0.0010, 0.1\\n97.248, 16, 0.0010, 0.3\\n97.075, 16, 0.0010, 0.5\\n97.708, 16, 0.0030, 0.1\\n97.500, 16, 0.0030, 0.3\\n97.522, 16, 0.0030, 0.5\\n97.702, 16, 0.0050, 0.1\\n97.380, 16, 0.0050, 0.3\\n97.285, 16, 0.0050, 0.5\\n96.890, 32, 0.0010, 0.1\\n96.897, 32, 0.0010, 0.3\\n96.498, 32, 0.0010, 0.5\\n97.428, 32, 0.0030, 0.1\\n97.495, 32, 0.0030, 0.3\\n97.810, 32, 0.0030, 0.5\\n97.508, 32, 0.0050, 0.1\\n97.393, 32, 0.0050, 0.3\\n97.192, 32, 0.0050, 0.5\\n96.487, 64, 0.0010, 0.1\\n95.860, 64, 0.0010, 0.3\\n96.520, 64, 0.0010, 0.5\\n97.262, 64, 0.0030, 0.1\\n97.630, 64, 0.0030, 0.3\\n97.198, 64, 0.0030, 0.5\\n97.213, 64, 0.0050, 0.1\\n97.378, 64, 0.0050, 0.3\\n97.170, 64, 0.0050, 0.5\\n\\n\\nStep No., Time(m), Total T(m), O2 percent Sat., O2 (umol/kg), ISFET pH, ISFET Temp,, pH raw (V), ISFET Temp raw (V), Battery (V), Phase O2, Amplitude O2\\n1,0.03, ,114.2,227.7,8.1038,27.21, ,0.069871,0.6974,12.44,25.39,2171\\n1,0.03, ,113.4,226.2,8.1032,27.21, ,0.069836,0.6974,12.43,25.46,2168\\n1,0.05, ,113.7,226.8,8.1032,27.21, ,0.069836,0.6974,12.48,25.43,2171\\n1,0.07, ,113.5,226.4,8.1041,27.21, ,0.069893,0.6974,12.46,25.45,2172\\n1,0.08, ,113.5,226.4,8.1036,27.21, ,0.069864,0.6973,12.46,25.45,2170\\n1,0.10, ,114.1,227.5,8.1037,27.21, ,0.069868,0.6973,12.42,25.40,2170\\n1,0.12, ,114.1,227.5,8.1033,27.21, ,0.069847,0.6973,12.44,25.40,2170\\n1,0.13, ,114.1,227.5,8.1038,27.21, ,0.069877,0.6973,12.42,25.40,2169\\n1,0.15, ,113.5,226.4,8.1050,27.21, ,0.069945,0.6973,12.44,25.45,2168\\n1,0.17, ,114.4,228.2,8.1042,27.21, ,0.069896,0.6973,12.43,25.37,2172\\n1,0.18, ,112.9,225.0,8.1044,27.21, ,0.069908,0.6973,12.47,25.51,2170\\n1,0.20, ,114.2,227.7,8.1034,27.21, ,0.069850,0.6973,12.44,25.39,2166\\n1,0.22, ,113.9,227.0,8.1036,27.21, ,0.069862,0.6973,12.42,25.42,2171\\n1,0.23, ,114.3,227.9,8.1037,27.21, ,0.069870,0.6973,12.43,25.38,2169\\n1,0.25, ,113.9,227.0,8.1037,27.21, ,0.069869,0.6973,12.42,25.42,2170\\n1,0.27, ,114.3,227.9,8.1033,27.21, ,0.069844,0.6973,12.48,25.38,2170\\n1,0.28, ,113.9,227.0,8.1039,27.21, ,0.069884,0.6973,12.45,25.42,2171\\n1,0.30, ,114.1,227.5,8.1032,27.21, ,0.069838,0.6973,12.46,25.40,2171\\n1,0.32, ,113.9,227.0,8.1031,27.21, ,0.069836,0.6973,12.44,25.42,2169\\n1,0.33, ,114.3,227.9,8.1042,27.21, ,0.069900,0.6973,12.46,25.38,2170\\n1,0.35, ,114.1,227.5,8.1036,27.21, ,0.069865,0.6973,12.43,25.40,2170\\n1,0.37, ,114.4,228.1,8.1034,27.21, ,0.069849,0.6973,12.42,25.37,2170\\n1,0.38, ,114.0,227.2,8.1031,27.21, ,0.069836,0.6973,12.43,25.41,2172\\n1,0.40, ,113.6,226.6,8.1032,27.21, ,0.069842,0.6973,12.42,25.44,2169\\n1,0.42, ,114.2,227.7,8.1035,27.21, ,0.069860,0.6972,12.43,25.39,2170\\n1,0.43, ,113.9,227.0,8.1032,27.21, ,0.069841,0.6972,12.42,25.42,2168\\n1,0.45, ,113.9,227.0,8.1035,27.21, ,0.069860,0.6972,12.49,25.42,2168\\n1,0.47, ,113.9,227.0,8.1027,27.21, ,0.069811,0.6972,12.45,25.42,2171\\n1,0.48, ,113.8,227.0,8.1027,27.21, ,0.069812,0.6972,12.42,25.42,2169\\n1,0.50, ,113.5,226.3,8.1034,27.21, ,0.069855,0.6972,12.43,25.45,2170\\n1,0.52, ,114.2,227.7,8.1041,27.21, ,0.069895,0.6972,12.42,25.39,2169\\n1,0.53, ,114.2,227.7,8.1041,27.21, ,0.069895,0.6972,12.45,25.39,2170\\n1,0.55, ,114.2,227.7,8.1033,27.21, ,0.069850,0.6972,12.43,25.39,2170\\n1,0.57, ,114.6,228.6,8.1042,27.21, ,0.069899,0.6972,12.45,25.35,2169\\n1,0.58, ,114.3,227.9,8.1028,27.21, ,0.069820,0.6972,12.42,25.38,2170\\n1,0.60, ,114.2,227.7,8.1027,27.21, ,0.069810,0.6972,12.43,25.39,2169\\n1,0.62, ,113.8,227.0,8.1032,27.22, ,0.069843,0.6972,12.44,25.42,2169\\n1,0.63, ,114.2,227.7,8.1027,27.22, ,0.069814,0.6972,12.44,25.39,2171\\n1,0.65, ,114.5,228.3,8.1031,27.22, ,0.069838,0.6972,12.47,25.36,2166\\n1,0.67, ,114.0,227.2,8.1031,27.22, ,0.069835,0.6972,12.43,25.41,2171\\n1,0.68, ,114.3,227.9,8.1035,27.22, ,0.069859,0.6972,12.45,25.38,2172\\n1,0.70, ,113.6,226.5,8.1035,27.22, ,0.069858,0.6971,12.43,25.44,2169\\n1,0.72, ,114.1,227.4,8.1031,27.22, ,0.069836,0.6971,12.43,25.40,2170\\n1,0.73, ,114.0,227.2,8.1028,27.22, ,0.069816,0.6971,12.42,25.41,2169\\n1,0.75, ,115.1,229.5,8.1024,27.22, ,0.069794,0.6971,12.43,25.31,2170\\n1,0.77, ,113.8,227.0,8.1040,27.22, ,0.069888,0.6971,12.43,25.42,2168\\n\\n\\nCategory,CategoryOfSequences_en,FXY1,Title_en,SubTitle_en,FXY2,ElementName_en,ElementDescription_en,Note_en,Status\\n11,Single level report sequences (conventional data),D11001,(Aircraft reports),,D01051,\\\"Flight number, navigational system, date/time, location, phase of flight\\\",ASDAR,,Operational\\n11,Single level report sequences (conventional data),D11001,(Aircraft reports),,B07002,Height or altitude,,,Operational\\n11,Single level report sequences (conventional data),D11001,(Aircraft reports),,B12001,Temperature/air temperature,,,Operational\\n11,Single level report sequences (conventional data),D11001,(Aircraft reports),,B11001,Wind direction,,,Operational\\n11,Single level report sequences (conventional data),D11001,(Aircraft reports),,B11002,Wind speed,,,Operational\\n11,Single level report sequences (conventional data),D11001,(Aircraft reports),,B11031,Degree of turbulence,,,Operational\\n11,Single level report sequences (conventional data),D11001,(Aircraft reports),,B11032,Height of base of turbulence,,,Operational\\n11,Single level report sequences (conventional data),D11001,(Aircraft reports),,B11033,Height of top of turbulence,,,Operational\\n11,Single level report sequences (conventional data),D11001,(Aircraft reports),,B20041,Airframe icing,,,Operational\\n11,Single level report sequences (conventional data),D11002,(ACARS reports),,D01065,ACARS identification,,,Operational\\n11,Single level report sequences (conventional data),D11002,(ACARS reports),,D01066,ACARS location,,,Operational\\n11,Single level report sequences (conventional data),D11002,(ACARS reports),,D11003,ACARS standard reported variables,,,Operational\\n11,Single level report sequences (conventional data),D11002,(ACARS reports),,D11004,ACARS supplementary reported variables,,,Operational\\n11,Single level report sequences (conventional data),D11003,(ACARS standard reported variables),,B10070,Indicated aircraft altitude,,,Operational\\n11,Single level report sequences (conventional data),D11003,(ACARS standard reported variables),,B11001,Wind direction,,,Operational\\n11,Single level report sequences (conventional data),D11003,(ACARS standard reported variables),,B11002,Wind speed,,,Operational\\n11,Single level report sequences (conventional data),D11003,(ACARS standard reported variables),,B12001,Temperature/air temperature,,,Operational\\n11,Single level report sequences (conventional data),D11003,(ACARS standard reported variables),,B13002,Mixing ratio,,,Operational\\n11,Single level report sequences (conventional data),D11004,(ACARS supplementary reported variables),,R01000,Delayed replication of 1 descriptor,,,Operational\\n11,Single level report sequences (conventional data),D11004,(ACARS supplementary reported variables),,B11034,Vertical gust velocity,,,Operational\\n11,Single level report sequences (conventional data),D11004,(ACARS supplementary reported variables),,R01000,Delayed replication of 1 descriptor,,,Operational\\n11,Single level report sequences (conventional data),D11004,(ACARS supplementary reported variables),,B11035,Vertical gust acceleration,,,Operational\\n11,Single level report sequences (conventional data),D11004,(ACARS supplementary reported variables),,R01000,Delayed replication of 1 descriptor,,,Operational\\n11,Single level report sequences (conventional data),D11004,(ACARS supplementary reported variables),,B11075,Mean turbulence intensity (eddy dissipation rate),,,Operational\\n11,Single level report sequences (conventional data),D11004,(ACARS supplementary reported variables),,R01000,Delayed replication of 1 descriptor,,,Operational\\n11,Single level report sequences (conventional data),D11004,(ACARS supplementary reported variables),,B11076,Peak turbulence intensity (eddy dissipation rate),,,Operational\\n11,Single level report sequences (conventional data),D11004,(ACARS supplementary reported variables),,R01000,Delayed replication of 1 descriptor,,,Operational\\n11,Single level report sequences (conventional data),D11004,(ACARS supplementary reported variables),,B33025,ACARS interpolated values indicator,,,Operational\\n11,Single level report sequences (conventional data),D11004,(ACARS supplementary reported variables),,R01000,Delayed replication of 1 descriptor,,,Operational\\n11,Single level report sequences (conventional data),D11004,(ACARS supplementary reported variables),,B33026,Moisture quality,,,Operational\\n11,Single level report sequences (conventional data),D11005,(Standard AMDAR reports),,B01008,Aircraft registration number or other identification,,,Operational\\n11,Single level report sequences (conventional data),D11005,(Standard AMDAR reports),,B01023,Observation sequence number,,,Operational\\n11,Single level report sequences (conventional data),D11005,(Standard AMDAR reports),,D01021,Latitude/longitude (high accuracy),,,Operational\\n11,Single level report sequences (conventional data),D11005,(Standard AMDAR reports),,D01011,\\\"Year, month, day\\\",,,Operational\\n11,Single level report sequences (conventional data),D11005,(Standard AMDAR reports),,D01013,\\\"Hour, minute, second\\\",,,Operational\\n11,Single level report sequences (conventional data),D11005,(Standard AMDAR reports),,B07010,Flight level,,,Operational\\n11,Single level report sequences (conventional data),D11005,(Standard AMDAR reports),,B08009,Detailed phase of flight,,,Operational\\n11,Single level report sequences (conventional data),D11005,(Standard AMDAR reports),,B11001,Wind direction,,,Operational\\n11,Single level report sequences (conventional data),D11005,(Standard AMDAR reports),,B11002,Wind speed,,,Operational\\n11,Single level report sequences (conventional data),D11005,(Standard AMDAR reports),,B11031,Degree of turbulence,,,Operational\\n11,Single level report sequences (conventional data),D11005,(Standard AMDAR reports),,B11036,Maximum derived equivalent vertical gust speed,,,Operational\\n11,Single level report sequences (conventional data),D11005,(Standard AMDAR reports),,B12101,Temperature/air temperature,,,Operational\\n11,Single level report sequences (conventional data),D11005,(Standard AMDAR reports),,B33025,ACARS interpolated values indicator,,,Operational\\n11,Single level report sequences (conventional data),D11006,(AMDAR data or aircraft data for one level without latitude/longitude),,B07010,Flight level,,,Operational\\n11,Single level report sequences (conventional data),D11006,(AMDAR data or aircraft data for one level without latitude/longitude),,B11001,Wind direction,,,Operational\\n11,Single level report sequences (conventional data),D11006,(AMDAR data or aircraft data for one level without latitude/longitude),,B11002,Wind speed,,,Operational\\n11,Single level report sequences (conventional data),D11006,(AMDAR data or aircraft data for one level without latitude/longitude),,B02064,Aircraft roll angle quality,,,Operational\\n11,Single level report sequences (conventional data),D11006,(AMDAR data or aircraft data for one level without latitude/longitude),,B12101,Temperature/air temperature,,,Operational\\n11,Single level report sequences (conventional data),D11006,(AMDAR data or aircraft data for one level without latitude/longitude),,B12103,Dewpoint temperature,,,Operational\\n11,Single level report sequences (conventional data),D11007,(Aircraft data for one level with latitude/longitude indicated),,B07010,Flight level,,,Operational\\n11,Single level report sequences (conventional data),D11007,(Aircraft data for one level with latitude/longitude indicated),,D01021,Latitude/longitude (high accuracy),,,Operational\\n11,Single level report sequences (conventional data),D11007,(Aircraft data for one level with latitude/longitude indicated),,B11001,Wind direction,,,Operational\\n11,Single level report sequences (conventional data),D11007,(Aircraft data for one level with latitude/longitude indicated),,B11002,Wind speed,,,Operational\\n11,Single level report sequences (conventional data),D11007,(Aircraft data for one level with latitude/longitude indicated),,B02064,Aircraft roll angle quality,,,Operational\\n11,Single level report sequences (conventional data),D11007,(Aircraft data for one level with latitude/longitude indicated),,B12101,Temperature/air temperature,,,Operational\\n11,Single level report sequences (conventional data),D11007,(Aircraft data for one level with latitude/longitude indicated),,B12103,Dewpoint temperature,,,Operational\\n11,Single level report sequences (conventional data),D11008,(Aircraft ascent/descent profile without latitude/longitude indicated at each level),,B01008,Aircraft registration number or other identification,,,Operational\\n11,Single level report sequences (conventional data),D11008,(Aircraft ascent/descent profile without latitude/longitude indicated at each level),,D01011,\\\"Year, month, day\\\",,,Operational\\n11,Single level report sequences (conventional data),D11008,(Aircraft ascent/descent profile without latitude/longitude indicated at each level),,D01013,\\\"Hour, minute, second\\\",,,Operational\\n11,Single level report sequences (conventional data),D11008,(Aircraft ascent/descent profile without latitude/longitude indicated at each level),,D01021,Latitude/longitude (high accuracy),,,Operational\\n11,Single level report sequences (conventional data),D11008,(Aircraft ascent/descent profile without latitude/longitude indicated at each level),,B08004,Phase of aircraft flight,,,Operational\\n11,Single level report sequences (conventional data),D11008,(Aircraft ascent/descent profile without latitude/longitude indicated at each level),,R01000,Delayed replication of 1 descriptor,,,Operational\\n11,Single level report sequences (conventional data),D11008,(Aircraft ascent/descent profile without latitude/longitude indicated at each level),,D11006,AMDAR data or aircraft data for one level without latitude/longitude,,,Operational\\n11,Single level report sequences (conventional data),D11009,(Aircraft ascent/descent profile with latitude/longitude given for each level),,B01008,Aircraft registration number or other identification,,,Operational\\n11,Single level report sequences (conventional data),D11009,(Aircraft ascent/descent profile with latitude/longitude given for each level),,D01011,\\\"Year, month, day\\\",,,Operational\\n11,Single level report sequences (conventional data),D11009,(Aircraft ascent/descent profile with latitude/longitude given for each level),,D01013,\\\"Hour, minute, second\\\",,,Operational\\n11,Single level report sequences (conventional data),D11009,(Aircraft ascent/descent profile with latitude/longitude given for each level),,D01021,Latitude/longitude (high accuracy),,,Operational\\n11,Single level report sequences (conventional data),D11009,(Aircraft ascent/descent profile with latitude/longitude given for each level),,B08004,Phase of aircraft flight,,,Operational\\n11,Single level report sequences (conventional data),D11009,(Aircraft ascent/descent profile with latitude/longitude given for each level),,R01000,Delayed replication of 1 descriptor,,,Operational\\n11,Single level report sequences (conventional data),D11009,(Aircraft ascent/descent profile with latitude/longitude given for each level),,D11007,Aircraft data for one level with latitude/longitude indicated,,,Operational\\n\\n\\nFile extension(s)[1],MIME type[2],Official name[3],Creation platform[4],Restoration platform[7],Restorable with free software[8],Description\\n.7z,application/x-7z-compressed,7z,Multiple,Multiple,Yes,Open source file format. Used by 7-Zip.\\n.s7z,application/x-7z-compressed,7zX,macOS,\\\"macOS, restoration on different platforms is possible although not immediate\\\",Yes,\\\"Based on 7z. Preserves Spotlight metadata, resource forks, owner/group information, dates and other data which would be otherwise lost with compression.\\nMade obsolete by the introduction of AppleDouble-encoded 7z archives (Macintosh only).\\\"\\n.ace,application/x-ace-compressed,ACE,Windows,Multiple,Yes,Proprietary format\\n.afa,application/x-astrotite-afa,AFA,UNIX-like,UNIX-like,No,\\\"A format that compresses and doubly encrypt the data (AES256 and CAS256) avoiding brute force attacks, also hide files in an AFA file. It has two ways to safeguard data integrity and subsequent repair of the file if has an error (repair with AstroA2P (online) or Astrotite (offline)).\\\"\\n.alz,application/x-alz-compressed,ALZip,Windows,Multiple,Yes,A mainly Korean format designed for very large archives.\\n.apk,application/vnd.android.package-archive,APK,Multiple,Multiple,Yes,Android application package (variant of JAR file format).\\n\\\".arc, .ark\\\",application/octet-stream,ARC,Multiple,Multiple,Yes,\\\"Very popular in the early days of BBSes, one of the first to offer compression and archiving in a single program. Largely replaced by PKZIP.\\\"\\n\\\".arc, .cdx\\\",application/x-freearc,FreeArc,\\\"Windows, Linux\\\",\\\"Windows, Linux\\\",Yes,\\\"Open source file format developed by Bulat Ziganshin. A \\\"\\\"FreeArc Next\\\"\\\"  version is under development which includes Zstandard support.\\\"\\n.arj,application/x-arj,ARJ,\\\"Originally DOS, now multiple\\\",Multiple,Yes,\\\"Competitor to PKZIP in the 1990s, offered better multi-part archive handling.\\\"\\n.b1,application/x-b1,B1,Multiple,Multiple,Yes,\\\"Open archive format, used by B1 Free Archiver (http://dev.b1.org/standard/archive-format.html)\\\"\\n.b6z,,B6Z,macOS,Multiple,Yes,Compressed archive format B6Zip\\n.ba,,Scifer,Multiple,Multiple,Yes,Binary Archive with external header\\n.bh,,BlakHole,,,Yes,Proprietary format from the ZipTV Compression Components\\n.cab,application/vnd.ms-cab-compressed,Cabinet,Windows,Multiple,Yes,\\\"The Microsoft Windows native archive format, which is also used by many commercial installers such as WISE.\\\"\\n.car,,Compressia archive,\\\"Originally DOS, now DOS and Windows\\\",\\\"Originally DOS, now DOS and Windows\\\",Yes,\\\"Created by Yaakov Gringeler; released last in 2003 (Compressia 1.0.0.1 beta), now apparently defunct. Free trial of 30 days lets user create and extract archives; after that it is possible to extract, but not to create.\\\"\\n.cfs,application/x-cfs-compressed,Compact File Set,\\\"Windows, Unix-like including macOS\\\",Multiple,Yes,Open source file format.\\n.cpt,,Compact Pro,Classic Mac OS,Multiple,Yes,\\\"Compact Pro archive, a common archiver used on Mac platforms until about Mac OS 7.5.x. Competed with StuffIt; now obsolete.\\\"\\n.dar,application/x-dar,Disk Archiver,Unix-like including macOS,\\\"Unix-like including macOS, Windows\\\",Yes,\\\"Open source file format.  Files are compressed individually with either gzip, bzip2 or lzo.\\\"\\n.dd,,DiskDoubler,Classic Mac OS,,,obsolete\\n.dgc,application/x-dgc-compressed,DGCA,Windows,Windows,,\\n.dmg,application/x-apple-diskimage,Apple Disk Image,macOS,\\\"macOS, Windows, Linux\\\",Yes,\\\"Supports \\\"\\\"Internet-enabled\\\"\\\" disk images, which, once downloaded, are automatically decompressed, mounted, have the contents extracted, and thrown away.  Currently, Safari is the only browser that supports this form of extraction; however, the images can be manually extracted as well. This format can also be password-protected or encrypted with 128-bit or 256-bit AES encryption.\\\"\\n.ear,,EAR,Multiple,Multiple,Yes,Enterprise Java Archive archive\\n.gca,application/x-gca-compressed,GCA,,,,The predecessor of DGCA.\\n.ha,,[2],Originally DOS,Originally DOS,\\\"Yes, but may be covered by patents\\\",DOS era format; uses arithmetic/Markov coding\\n.hki,,WinHKI,MS Windows,MS Windows,No,HKI\\n.ice,,ICE,Windows,Windows,Yes,Produced by ICEOWS program. Excels at text file compression.\\n.jar,application/java-archive,JAR,Multiple,Multiple,Yes,\\\"Java archive, compatible with ZIP files\\\"\\n.kgb,,KGB Archiver,Multiple,Multiple,Yes,Open sourced archiver with compression using the PAQ family of algorithms and optional encryption.\\n\\\".lzh, .lha\\\",application/x-lzh,LHA,\\\"Originally DOS, now multiple\\\",Multiple,Yes,The standard format on Amiga.\\n.lzx,application/x-lzx,LZX,Amiga,,,Archiver originally used on The Amiga. Now copied by Microsoft to use in their .cab and .chm files.\\n.pak,,PAK,HP NonStop,HP NonStop,Yes[9],\\\"file format from NoGate Consultings, a rival from ARC-Compressor.\\n.pak was also briefly used by the short lived MSDOS PKPAK program.\\\"\\n.partimg,,PartImage,Multiple,Multiple,Yes,A disk image archive format that supports several compression methods as well as splitting the archive into smaller pieces.\\n\\\".paq6, .paq7, .paq8 and variants\\\",,PAQ,Unix-like and Windows,Unix-like and Windows,Yes,An experimental open source packager (http://mattmahoney.net/dc)\\n.pea,,PeaZip,Linux and Windows,Linux and Windows,Yes,\\\"Open source archiver supporting authenticated encryption, cascaded encryption, volume spanning, customizable object level and volume level integrity checks (form CRCs to SHA-512 and Whirlpool hashes), fast deflate based compression\\\"\\n.pim,,PIM,Windows,Windows,Yes,\\\"The format from the PIM - a freeware compression tool by Ilia Muraviev. It uses an LZP-based compression algorithm with set of filters for executable, image and audio files.\\\"\\n.pit,,PackIt,Classic Mac OS,,,obsolete\\n.qda,,Quadruple D,Windows,Windows,,Used for data in games written using the Quadruple D library for Delphi. Uses byte pair compression.\\n.rar,application/x-rar-compressed,RAR,\\\"Originally DOS, now multiple\\\",Multiple,Yes,\\\"A proprietary archive format, second in popularity to .zip files.\\\"\\n.rk,,RK and WinRK [3],Multiple,Multiple,No,\\\"The format from a commercial archiving package. Odd among commercial packages in that they focus on incorporating experimental algorithms with the highest possible compression (at the expense of speed and memory), such as PAQ, PPMD and PPMZ (PPMD with unlimited-length strings), as well as a proprietary algorithms.\\\"\\n.sda,,Self Dissolving ARChive,\\\"Commodore 64, Commodore 128\\\",\\\"Commodore 64, Commodore 128\\\",Yes,\\\"SDAs refer to Self Dissolving ARC files, and are based on the Commodore 64 and Commodore 128 versions of ARC, originally written by Chris Smeets.  While the files share the same extension, they are not compatible between platforms.  That is, an SDA created on a Commodore 64 but run on a Commodore 128 in Commodore 128 mode will crash the machine, and vice versa.  The intended successor to SDA is SFX.\\\"\\n.sea,,Self Extracting Archive,Classic Mac OS,Classic Mac OS (implicitly),,\\\"A pre-Mac OS X Self-Extracting Archive format. StuffIt, Compact Pro, Disk Doubler and others could create .sea files, though the StuffIt versions were the most common.\\\"\\n.sen,,Scifer,Multiple,Multiple,Yes,Scifer Archive with internal header\\n.sfx,,Self Extracting Archive,\\\"Commodore 64, Commodore 128\\\",\\\"Commodore 64, Commodore 128\\\",Yes,\\\"SFX is a Self Extracting Archive which uses the LHArc compression algorithm.  It was originally developed by Chris Smeets on the Commodore platform, and runs primarily using the CS-DOS extension for the Commodore 128.  Unlike its predecessor SDA, SFX files will run on both the Commodore 64 and Commodore 128 regardless of which machine they were created on.\\\"\\n.shk,,NuFX,\\\"Originally Apple II, now multiple\\\",Multiple,Yes,\\\"An archive format designed for the Apple II series of computers.  The canonical implementation is ShrinkIt, which can operate on disk images as well as files.  Preferred compression algorithm is a combination of RLE and 12-bit LZW.  Archives can be manipulated with the command-line NuLib tool, or the Windows-based CiderPress.\\\"\\n.sit,application/x-stuffit,StuffIt,\\\"Originally Classic Mac OS, now multiple\\\",\\\"Originally Classic Mac OS, now multiple\\\",Yes,A compression format common on Apple Macintosh computers. The free StuffIt Expander is available for Windows and macOS.\\n.sitx,application/x-stuffitx,StuffIt X,Multiple,Multiple,Yes,\\\"The replacement for the .sit format that supports more compression methods, UNIX file permissions, long file names, very large files, more encryption options, data specific compressors (JPEG, Zip, PDF, 24-bit image, MP3). The free StuffIt Expander is available for Windows and OS X.\\\"\\n.sqx,,SQX,Windows,Windows,Yes,A royalty-free compressing format\\n\\\".tar.gz, .tgz, .tar.Z, .tar.bz2, .tbz2, .tar.lz, .tlz. .tar.xz, .txz\\\",application/x-gtar,\\\"tar with gzip, compress, bzip2, lzip, or xz\\\",Multiple,Multiple,Yes,\\\"The \\\"\\\"tarball\\\"\\\" format combines tar archives with a file-based compression scheme (usually gzip). Commonly used for source and binary distribution on Unix-like platforms, widely available elsewhere.\\\"\\n.uc .uc0 .uc2 .ucn .ur2 .ue2,,UltraCompressor II,DOS,DOS,,UltraCompressor 2.3 was developed to act as an alternative to the then popular PKZIP application. The main feature of the application is its ability to create large archives. This means that compressed archives with the UC2 file extension can hold almost 1 million files.\\n.uca,,PerfectCompress[10],Windows,Windows,No,\\\"Based on PAQ, RZM, CSC, CCM, and 7zip. The format consists of a PAQ, RZM, CSC, or CCM compressed file and a manifest with compression settings stored in a 7z archive.\\\"\\n.uha,,UHarc,DOS/Windows,DOS/Windows,Yes,A high compression rate archive format originally for DOS.\\n.war,,WAR,Multiple,Multiple,Yes,Web Application archive (Java-based web app)\\n.wim,application/x-ms-wim,Windows Image,Windows,Windows,Yes,File-based disk image format developed to deploy Microsoft Windows.\\n.xar,application/x-xar,XAR,Multiple,Multiple,Yes,\\n.xp3,,KiriKiri,Windows,Windows,Yes,\\\"Native format of the Open Source KiriKiri Visual Novel engine. Uses combination of block splitting and zlib compression. The filenames and pathes are stored in UTF-16 format. For integrity check, the Adler-32 hashsum is used. For many commercial games, the files are encrypted (and decoded on runtime) via so-called \\\"\\\"cxdec\\\"\\\" module, which implements xor-based encryption.\\\"\\n.yz1,,YZ1,\\\"Windows, DOS, Linux\\\",\\\"Windows, DOS, Linux\\\",Yes,\\\"Yamazaki zipper archive. Compression format used in DeepFreezer archiver utility created by Yamazaki Satoshi. Read and write support exists in TUGZip, IZArc and ZipZag\\\"\\n\\\".zip, .zipx\\\",application/zip,ZIP,\\\"Originally DOS, now multiple\\\",Multiple,Yes,The most widely used compression format on Microsoft Windows. Commonly used on Macintosh and Unix systems as well.\\n.zoo,application/x-zoo,zoo,Multiple,Multiple,Yes,\\n.zpaq,,ZPAQ,Multiple,Multiple,Yes,\\\"Journaling (append-only) archive format with rollback capability. Supports deduplication and incremental update based on last-modified dates. Multi-threaded. Compresses in LZ77, BWT, and context mixing formats. Open source.\\\"\\n.zz,,Zzip,Multiple,Multiple,Yes,Archiver with a compression algorithm based on the Burrows-Wheeler transform method.\\n\\n\\nDataset Name,Brief description,Preprocessing,Instances,Format,Default Task,Created (updated),Reference,Creator\\nHousing Data Set,Median home values of Boston with associated home and neighborhood attributes.,None.,506,Text,Regression,1993,[466],D. Harrison et al.\\nThe Getty Vocabularies,\\\"structured terminology for art and other material culture, archival materials, visual surrogates, and bibliographic materials.\\\",None.,large,Text,Classification,2015,[467],Getty Center\\nYahoo! Front Page Today Module User Click Log,User click log for news articles displayed in the Featured Tab of the Today Module on Yahoo! Front Page.,Conjoint analysis with a bilinear model.,\\\"45,811,883 user visits\\\",Text,\\\"Regression, clustering\\\",2009,[468][469],Chu et al.\\nBritish Oceanographic Data Centre,\\\"Biological, chemical, physical and geophysical data for oceans. 22K variables tracked.\\\",Various.,\\\"22K variables, many instances\\\",Text,\\\"Regression, clustering\\\",2015,[470],British Oceanographic Data Centre\\nCongressional Voting Records Dataset,Voting data for all USA representatives on 16 issues.,\\\"Beyond the raw voting data, various other features are provided.\\\",435,Text,Classification,1987,[471],J. Schlimmer\\nEntree Chicago Recommendation Dataset,Record of user interactions with Entree Chicago recommendation system.,Details of each users usage of the app are recorded in detail.,\\\"50,672\\\",Text,\\\"Regression, recommendation\\\",2000,[472],R. Burke\\nInsurance Company Benchmark (COIL 2000),Information on customers of an insurance company.,Many features of each customer and the services they use.,\\\"9,000\\\",Text,\\\"Regression, classification\\\",2000,[473][474],P. van der Putten\\nNursery Dataset,Data from applicants to nursery schools.,Data about applicant's family and various other factors included.,\\\"12,960\\\",Text,Classification,1997,[475][476],V. Rajkovic et al.\\nUniversity Dataset,Data describing attributed of a large number of universities.,None.,285,Text,\\\"Clustering, classification\\\",1988,[477],S. Sounders et al.\\nBlood Transfusion Service Center Dataset,\\\"Data from blood transfusion service center. Gives data on donors return rate, frequency, etc.\\\",None.,748,Text,Classification,2008,[478][479],I. Yeh\\nRecord Linkage Comparison Patterns Dataset,Large dataset of records. Task is to link relevant records together.,Blocking procedure applied to select only certain record pairs.,\\\"5,749,132\\\",Text,Classification,2011,[480][481],University of Mainz\\nNomao Dataset,Nomao collects data about places from many different sources. Task is to detect items that describe the same place.,Duplicates labeled.,\\\"34,465\\\",Text,Classification,2012,[482][483],Nomao Labs\\nMovie Dataset,\\\"Data for 10,000 movies.\\\",Several features for each movie are given.,\\\"10,000\\\",Text,\\\"Clustering, classification\\\",1999,[484],G. Wiederhold\\nOpen University Learning Analytics Dataset,Information about students and their interactions with a virtual learning environment.,None.,\\\"~ 30,000\\\",Text,\\\"Classification, clustering, regression\\\",2015,[485][486],J. Kuzilek et al.\\nMobile phone records,Telecommunications activity and interactions,Aggregation per geographical grid cells and every 15 minutes.,large,Text,\\\"Classification, Clustering, Regression\\\",2015,[487],G. Barlacchi et al.\\n\\n\\nAudio compression format,Algorithm,Sample rate,Bit rate,Bits per sample,Latency,CBR,VBR,Stereo,Multichannel\\nG.711,\\\"companding A-law or μ-law, PCM\\\",8 kHz,64 kbit/s,8 bit (log),125 µs (typical),Yes,No,No,No\\nG.711.0,Lossless compression of G.711,8 kHz,0.2–65.6 kbit/s,8 bit (log),5–40 ms,No,Yes,No,No\\nG.711.1,\\\"MDCT, A-law, μ-law\\\",\\\"8, 16 kHz\\\",\\\"64, 80, 96 kbit/s\\\",16 bit,11.875 ms,Yes,Yes,No,No\\nG.718,\\\"CELP, MDCT, Lossy\\\",\\\"8, 16 kHz\\\",\\\"8, 12, 12.65, 16, 24, 32 kbit/s\\\",16 bit,42.875–43.875 ms,Yes,Yes,No,No\\nG.718B,\\\"CELP, MDCT, Lossy, Sinusoidal Coding\\\",32 kHz,\\\"36, 40, 48 kbit/s\\\",16 bit,49.625 ms,Yes,Yes,No,No\\nG.719,\\\"MDCT,[61] Lossy (incorporates elements of Siren Codec and Ericsson technology)\\\",48 kHz,\\\"32–88 kbit/s in 4 kbit/s steps, 88–128 kbit/s in 8 kbit/s steps\\\",16 bit,40 ms,Yes,No,Yes: only in MPEG-4 Part 12 container,Yes: only in MPEG-4 Part 12 container\\nG.721,\\\"ADPCM, Lossy\\\",8 kHz,32 kbit/s,13 bit,,Yes,No,No,No\\nG.722,\\\"sub-band ADPCM, Lossy\\\",16 kHz,\\\"64 kbit/s (comprises 48, 56 or 64 kbit/s audio and 16, 8 or 0 kbit/s auxiliary data)\\\",14 bit,4 ms,Yes,No,No,No\\nG.722.1,\\\"Modulated Lapped Transform (MDCT), Lossy (based on Siren Codec)\\\",16 kHz,\\\"24, 32 kbit/s\\\",16 bit,40 ms,Yes,No,No,No\\nG.722.1C,\\\"Modulated Lapped Transform (MDCT), Lossy (based on Siren Codec)\\\",32 kHz,\\\"24, 32, 48 kbit/s\\\",16 bit,40 ms,Yes,No,No,No\\nG.722.2 (AMR-WB),\\\"multi-rate wideband ACELP, Lossy\\\",16 kHz,\\\"6.60, 8.85, 12.65, 14.25, 15.85, 18.25, 19.85, 23.05, 23.85 kbit/s\\\",14 bit,25 ms,Yes,Yes,Yes: only in MPEG-4 Part 12 container,No\\nG.723,\\\"ADPCM, Lossy\\\",8 kHz,\\\"24, 40 kbit/s\\\",13 bit,,Yes,No,No,No\\nG.723.1,\\\"MP-MLQ, ACELP, Lossy\\\",8 kHz,\\\"5.3, 6.3 kbit/s\\\",13 bit,37.5 ms,Yes,No,No,No\\nG.726,\\\"ADPCM, Lossy\\\",8 kHz,\\\"16, 24, 32, 40 kbit/s\\\",13 bit,125 µs,Yes,No,No,No\\nG.727,\\\"ADPCM, Lossy\\\",8 kHz,\\\"16, 24, 32, 40 kbit/s\\\",13 bit,,Yes,Yes,No,No\\nG.728,\\\"low-delay CELP, Lossy\\\",8 kHz,16 kbit/s,13 bit,0.625 ms,Yes,No,No,No\\nG.729,\\\"CS-ACELP, Lossy\\\",8 kHz,8 kbit/s,13 bit,15 ms,Yes,No,No,No\\nG.729D,\\\"CS-ACELP, Lossy\\\",8 kHz,6.4 kbit/s,13 bit,,Yes,No,No,No\\nG.729E,\\\"CS-ACELP, Lossy\\\",8 kHz,11.8 kbit/s,13 bit,15 ms,Yes,No,No,No\\nG.729.1,\\\"CELP, TDBWE, TDAC (MDCT), Lossy\\\",\\\"8, 16 kHz\\\",\\\"8 kbit/s, 12–32 kbit/s in 2 kbit/s steps\\\",16 bit,48.9375 ms,Yes,Yes,No,No\\n\\n\\nProgram,search (criteria),selection (styles),metadata,adjust image (functions),hotkeys,color management (ICC),JPEG Lossless operations,Unicode support,other / special\\nACDSee,Yes,\\\"Yes  individual, linear, block\\\",\\\"Yes  Exif, IPTC\\\",Yes  many,Yes,Yes,Yes rotation only,Yes,\\\"GPS Location,  Scripts for batch/pre processing, automatic slideshow\\\"\\nCDisplay,No,No,Yes,\\\"Yes  Rotate, Filter\\\",Yes configurable,Yes,No,No,\\\"Slider, automatic slideshow, mouse control\\\"\\nComix,No,No,,\\\"Yes  Rotate, Filter\\\",,,,,\\\"Slider, automatic slideshow, mouse control\\\"\\ndigiKam,\\\"Yes file name, comments, most Exif and meta data\\\",\\\"Yes  linear, block, complex\\\",Yes  Exif and IPTC,Yes  many editing function,Yes,Yes,Yes by changing EXIF orientation and not in editor,Yes,\\\"Geotagging, batch processing, detect duplicate/similar images, export to Internet/social media/HTML\\\"\\nEye of gnome,No,No,Yes,Yes  Rotate,Yes unconfigurable,,Yes,,\\nF-Spot,,,Yes,,,,,,\\\"Export to HTML, Flickr, or O.r.i.g.i.n.a.l.\\\"\\nFastPictureViewer,\\\"Yes Filter the view by rating, file name...\\\",\\\"Yes Copy, move, delete, rate, label\\\",\\\"Yes Write XMP Rating/Label, IPTC metadata, Windows Rating, embedded or in sidecar files, shows shooting info (Exif) and realtime RGB histogram\\\",No,Yes,\\\"Yes (supports custom monitor profile, direct conversion from image colorspace to monitor colorspace, ICC v4)\\\",n/a,\\\"Yes, native\\\",\\\"Native 32 and 64-bit, Tethered shooting (MTP/PTP over USB), Multicore-aware, DirectX accelerated, HD Photo / JPEG XR support.\\\"\\nGonvisor,No,\\\"Yes Delete, rename\\\",No,Yes ,Yes,Yes,n/a,\\\"Yes, native\\\",\\\"Made to easily read comics or manga can display two pages at time and view images in compressed ZIP, RAR, 7z, cbr, cba, cbz etc.\\\"\\nFastStone Image Viewer,,\\\"Yes  individual, linear\\\",\\\"Yes  EXIF, JPEG comment\\\",Yes  many,Yes,,Yes lossless transitions,Yes,full screen mode with all commands available via pop-up menu bars when approaching the mouse from the borders of the screen\\nGeeqie,\\\"Yes  collections, keywords, filename, location, size, date, dimensions, comments, previous results\\\",\\\"Yes  block, linear, complex\\\",Yes,\\\"Yes  rotate, brightness, contrast\\\",Yes,Yes,,,\\\"find duplicates, sort manager, recent collections\\\"\\ngThumb,\\\"Yes  name, comment, date, category, folder, recursive-folder\\\",\\\"Yes  linear, block, complex\\\",Partial,\\\"Yes  manipulate color, flip/rotate, etc.\\\",Yes,,Yes,,\\\"bookmarks, comments, rename series, create index image, create HTML album\\\"\\nGwenview,Yes  tags,,\\\"Yes  Exif, IPTC, XMP\\\",\\\"Yes  Rotate, Red eye removal, saturation, color balance, levels and more\\\",Yes,,\\\"Yes, rotation and flipping\\\",Yes,\\\"batch processing, export to Internet/social media/HTML\\\"\\nKPhotoAlbum,\\\"Yes  keywords, comments, title, any field from Exif metadata\\\",\\\"Yes  linear, complex\\\",Partial,Yes  per KIPI plugins,Yes  configurable,,,,Quick-tagging using keyboard tokens\\nPhase One Media Pro,\\\"Yes  name, date, rating, file size, and many more.\\\",\\\"Yes  individual, linear\\\",\\\"Yes  EXIF, IPTC, and custom keywords\\\",\\\"Yes  Rotate, Red eye removal, saturation, color balance, levels and more\\\",Yes,Yes,,Yes,\\\"Find duplicates, hierarchical keywords, distributable catalog with free Media Pro reader, offline browsing of images\\\"\\nPicasa,\\\"Yes  name, date, rating, faces\\\",\\\"Yes  individual, linear\\\",Partial  Keywords,Partial  basic,Yes,Yes,Yes rotation only,Yes,\\\"collages, Geotagging, Search for Faces, find duplicates\\\"\\nShotwell,No,\\\"Yes  individual, linear, hide\\\",\\\"Yes  Read IPTC, Exif, XMP\\\",\\\"Yes  Exposure, Saturation, Tint, Shadows, Temperature, and more\\\",Yes,No,No,Yes,\\\"Non-destructive editor, Auto Enhance Images, Duplicate, Upload, Favorite\\\"\\nSimple Comic,No,,No,Yes rotate,Yes,,,,\\\"capture page, remove page, set icon\\\"\\nSTDU Viewer,No,No,No,No,Yes,No,No,Yes,\\nWindows Photo Viewer,No,No,Yes: Exif,\\\"Yes  rotate, lossless JPEG rotate, annotate TIFF images\\\",Yes,,Yes rotate only,Yes,\\nXnView and XnViewMP,\\\"Yes  name, date, file size, image size, meta data, ...\\\",\\\"Yes  individual, linear\\\",\\\"Yes  IPTC, Exif, JPEG comment\\\",Yes  many,Yes  configurable,Yes Custom monitor profile supported,Yes,Partial Supported in XnViewMP,Supports Adobe Photoshop Filter 8BF plugins\\nxv,No,\\\"Partial  individual, all\\\",Partial  view comments,Yes  many,Yes,,,,\\nZoner Photo Studio,\\\"Yes  name, date, file size, meta data\\\",\\\"Yes  individual, linear\\\",\\\"Yes  IPTC, Exif, XMP, JPEG comment\\\",Yes  very many,Yes configurable,Yes,Yes,Yes,\\\"sign images, 16 bits per channel, GPS support, merge pictures to HDR, WIC codecs support\\\"\\nProgram,search (criteria),selection (styles),metadata,adjust image (functions),hotkeys,color management (ICC),JPEG Lossless operations,Unicode support,other / special\\n\\n\\nspecimen collector sample ID,PHAC sample ID,IRIDA sample name,umbrella bioproject accession,bioproject accession,biosample accession,SRA accession,GenBank accession,GISAID accession,sample collected by,sample collector contact email,sample collector contact address,sequence submitted by,sequence submitter contact email,sequence submitter contact address,sample collection date,sample received date,geo_loc_name (country),geo_loc_name (province/territory),geo_loc_name (city),organism,isolate,purpose of sampling,anatomical material,anatomical part,body product,environmental material,environmental site,collection device,collection method,collection protocol,specimen processing,lab host,passage number,passage method,biomaterial extracted,host (common name),host (scientific name),host health state,host health status details,host disease,host age,host gender,host origin geo_loc name (country),host subject ID,symptom onset date,signs and symptoms,location of exposure geo_loc name (country),travel history,exposure event,library ID,MinIon barcode,sequencing instrument,sequencing protocol name,sequencing protocol source,sequencing kit number,amplicon pcr primers filename,raw sequence data processing,sequencing depth (average),assembly name,assembly method,assembly coverage breadth,assembly coverage depth,r1 fastq filename,r2 fastq filename,r1 fastq filepath,r2 fastq filepath,fast5 filename,fast5 filepath,fasta filename,fasta filepath,number base pairs,consensus genome length,mean contig length,N50,Ns per 100 kbp,reference genome accession,consensus sequence ID,consensus sequence method,consensus sequence filename,consensus sequence filepath,annotation feature table filename,bioinformatics protocol,gene name 1,diagnostic pcr protocol 1,diagnostic pcr Ct value 1,gene name 2,diagnostic pcr protocol 2,diagnostic pcr Ct value 2,authors\\nUruguay-RmYN02-LXB8,PHAC_1656,Uruguay-RmYN02-LXB8,PRJNA623807,PRJNA938877,SAMN18243547,SRR22860399,DQ887342,EPI_ISL_404304,Jessica Evans,pooletimothy@nelson.biz,\\\"85420 Singleton Isle Suite 237, Ronaldmouth, YT M4G 5S8\\\",Elizabeth Young,miguel16@thomas.com,\\\"6326 Clements Ford Suite 984, East Cheyennechester, AB X8K4B7\\\",1/8/2020,2020-03,Uruguay,Northwest Territories,North Kelly,RaTG13,Uruguay-RmYN02-LXB8,Cluster investigation,Fluid (cerebrospinal (CSF)),Upper respiratory tract,Breast Milk,Tissue paper,Intensive Care Unit (ICU),Micropipette,Biopsy,COLLEGEABOUTROAD/V._5,Not applicable,U251 cell line,4,Try not head business discuss live western.,RNA (poly-A),Pig,Viverridae,Healthy,Symptomatic,COVID-19,60,Missing,Argentina,VzBQkO6,2020,Coma,El Salvador,\\\"Chad, Danielstad\\\",\\\"Mass gathering (social e.g. funeral, wedding etc.)\\\",Uruguay-RmYN02-LXB8:5,6333709817,NextSeq 550,maintainseason|V5,ARTIC Network Protocol v.5,2xstqmehzf8mo8cduff,since-chance-evening.txt,Mayscienceprogramneed v.1.7.7,31x,uruguay-rmyn02-lxb893assembly.fasta,SPades,62%,131x,way-management.fastq.gz,four-mean-travel-bring.fastq.gz,/Users/Griffith/Downloads/another./way-management.fastq.gz,/Users/Tyler Rush/Desktop/-/,no_value_point_although.fast5,/Users/Vaughn/Google Drive/&/,ready today general.fasta,/Users/Mccullough/Desktop/-/,222162,33388,46054,2826.52,748,SAMN15238246,SARS2_ZEX502,seem v. 11.78,education_watch.fasta,/Users/Luke/Downloads/player\\\\/,former-after-author-perhaps.tbl,Amplicons sars-cov-2 sars-cov-2 a genome.,COVID-19-orf6-gene,Futurewithin-V8,11,(N),TROUBLEDOORAFTER/v 5,9,\\\"Geoffrey Smith, Jennifer Pierce, Nicholas Alexander, Christopher Yoder, Gareth Holmes-Stone, Jared Webster DDS, Logan Wilkerson, Anna Murray, Shane Bryan, Jonathan Young, Dennis Alvarez\\\"\\nBritishColumbia_BloodCollectionTube_980,PHAC_454,BritishColumbia_BloodCollectionTube_980,PRJNA623807,PRJNA606263,SAMN12504169,SRR89549539,HQ511381,EPI_ISL_531747,Aaron Blankenship,kevinmoore@gmail.com,\\\"1709 Jillian Port Apt. 225, Cooperhaven, SK T7H 3J7\\\",Kerry Matthews,michelle20@foster.org,\\\"57001 Mcdonald Underpass, Nicoleborough, SK L7T 8K4\\\",4/3/2020,2020-01,Micronesia,British Columbia,Carlashire,SARS-CoV-2,BritishColumbia_BloodCollectionTube_980,Missing,Missing,Trachea,Feces,Stainless steel,Animal house,Needle,Bronchoalveolar lavage (BAL),certainlyitem/v. 4,RNA re-extraction (post RT-PCR),U251 cell line,16,Bed physical modern score natural institution try.,RNA (ribo-depleted),Missing,Panthera tigris,Missing,Hospitalized (ICU),Missing,40-49 years,Non-binary gender,Papua New Guinea,ORmN6,2020,Nausea,Aruba,\\\"Poland, Jeremiahshire; Niue\\\",Mass gathering (religious),BritishColumbia_BloodCollectionTube_980|3,5770301572,PacBio Sequel,COLORTRUTHAUTHOR|v 1,Super Duper Prot. V 13,I9COBulp,subject-as.txt,FastQC v 10.1,19x,britishcolumbia_bloodcollectiontube_98045assembly.fasta,Velvet,30%,150x,know heavy.fastq.gz,within scientist even natural.fastq.gz,/Users/Nicole Gill/Downloads/Wife&/know heavy.fastq.gz,/Users/Phillip/Documents/that&/within scientist even natural.fastq.gz,own_state_question.fast5,/Users/Jonathan Williamson/Downloads/&/,bank.fasta,/Users/Stephen/Desktop/Would$/,75030,21097,19534,1416.15,784,MT_419846.1,SARS-CoV-2_FTH919,others V 3,example.fasta,/Users/Baker/Desktop/Many#/example.fasta,third_will_on.tbl,Pcr rna method assay.,SARS-CoV-2 M gene,Examplewindreal_v._11,2,orf1ab-gene,BUSINESSBUILD_V._4,9,\\\"Lauren Young, Alexander Bailey\\\"\\nSouthSandramouth-Missing-768,PHAC_1048,SouthSandramouth-Missing-768,PRJNA623807,PRJNA626506,SAMN19686344,SRR10252595,KT364461,EPI_ISL_511647,Michelle Perry,spotts@rodriguez.biz,\\\"576 Adams Meadow, Patrickstad, NS E1R2H1\\\",Isabella Gibson,georgemichelle@chang.net,\\\"01706 Holly Corners Suite 018, Hernandezview, NS V9R 5V8\\\",2020,5/25/2020,Cuba,Yukon Territory,South Sandramouth,RaTG13,SouthSandramouth-Missing-768,Surveillance testing,Blood,Duodenum,Sputum,Stainless steel,Wet market,Collection Container,Biopsy,Atcardcauselast_V. 4,Not applicable,HEK293T cell line,21,Exist at worker language firm how.,RNA (total),Cow,Homo sapiens,Sick,Asymptomatic,COVID-19,19,Male,Gaza Strip,aK10,1/3/2020,Seizure,Western Sahara,\\\"Tuvalu, Laurenview; Guatemala; Pakistan, West Dylan\\\",Occupational exposure (hospital visit),SouthSandramouth-Missing-768|1,6589280015,Ion Torrent S5,SUPPORTNEWBECOME/V 10,ONT-SISPA v9.0,wk1WHohubrzif7kxH8,walk adult far why.txt,BBTools v 5.11,61x,southsandramouth-missing-76884assembly.fasta,Unicycler,17%,57x,hospital_condition.fastq.gz,nice.fastq.gz,/Users/Fields/Google Drive/*/,/Users/Jennifer/Google Drive/-/,black-middle.fast5,\\\"/Users/Zhang/Documents/Left\\\"\\\"/\\\",Congress audience.fasta,/Users/Walker/Google Drive/by*/Congress audience.fasta,81325,28308,29741,113.54,315,MN988668,Prov_S6C503,CASAVA V. 9.0,itself.fasta,/Users/Susan/Downloads/Blood&/,step-college.tbl,Upoverasktopair-V._2,SARS-CoV-2 RdRP gene,applyneverguess-V3,12,E1 glycoprotein,Benefitstuff-v 8,31,\\\"Cody Hurley, Carolyn West-Ross, Harold Greene, Amanda Haynes, Warren Reed, Marian Matthews, Tina Daniels, Jose Harris, Pamela Lloyd\\\"\\nLongTermCareFacility_SARS-CoV-2_2GBU,PHAC_644,LongTermCareFacility_SARS-CoV-2_2GBU,PRJNA623807,PRJNA936073,SAMN12633205,SRR23789536,EF450354,EPI_ISL_551774,Adrian Garcia,jeffrey02@oliver.com,\\\"8092 Sullivan Parkways Suite 166, Walshchester, AB C3R 3H1\\\",Sherri Huffman,barbaraprince@gmail.com,\\\"0913 Sanchez Ranch, Allenmouth, NS A6C 9T4\\\",5/3/2020,2020-01,Central African Republic,Missing,East Yesenia,RaTG13,LongTermCareFacility_SARS-CoV-2_2GBU,Diagnostic testing,Fluid (pleural),Missing,Missing,Hospital gown,Daycare,Collection Container,Missing,Himselfresource/V. 2,Not applicable,HEK293T cell line,not applicable,Business hope respond evidence color list activity operation community.,Missing,Human,Missing,Deceased,Self-quarantining,COVID-19,30-39 years,Missing,Finland,I|4,2020-02,Asthenia,Kyrgyzstan,\\\"Montenegro, New Tracyfort; Wake Island, Mariomouth\\\",Mass gathering (office),LongTermCareFacility_SARS-CoV-2_2GBU-3,7204226983,HiSeq X Five,SOMEBODY-v._9,ONT-Native_RNA V 9,leYYuFqqF,reflect-on-for-weight.txt,Cutadapt V. 1.5,105x,longtermcarefacility_sars-cov-2_2gbu12assembly.fasta,Shovil,100%,23x,century.fastq.gz,Democrat our.fastq.gz,/Users/Casey/Google Drive/;/century.fastq.gz,/Users/Joseph/Google Drive/focus&/Democrat our.fastq.gz,trouble-employee-evening-former.fast5,/Users/Harris/Desktop/Whether*/,feeling_history_best_movie.fasta,/Users/Lisa/Desktop/Your#/feeling_history_best_movie.fasta,211221,32059,27648,4958.18,345,MN908947,ConsensusSeq_GVO742,iVar V12,maintain expect.fasta,/Users/Brown/Documents/*/,change-source-add.tbl,Nearlistdeal_V.8,COVID-19-ORF7A-gene,onegooption_V_3,14,2019-nCoV nulceocapsid phosphoprotein gene,radiomanyrate-v 6,34,William Mcmillan II\\nAcutecarefacility-RaTG13-33,PHAC_1673,Acutecarefacility-RaTG13-33,PRJNA623807,PRJNA873118,SAMN17502491,SRR34887002,JF369603,EPI_ISL_496318,Brittany Thompson,michaelmorgan@hamilton.com,\\\"4732 Robert Prairie Suite 964, North Philipburgh, NT M9K9V5\\\",Kevin Harris,juliethompson@cunningham.com,\\\"9652 Bender Place Suite 717, Kaufmanmouth, BC Y3G 9Y6\\\",2020-03,2/10/2020,Guam,New Brunswick,Harmonshire,RaTG13,Acutecarefacility-RaTG13-33,Surveillance testing,Fluid (pericardial),Lung,Feces,Nurse call button,Patient room,Fibrobronchoscope Brush,Wash,TRUEFEARWALK/v11,RNA re-extraction (post RT-PCR),NHBE cell line,18,Your argue he people seven respond.,RNA (ribo-depleted),Lion,Gallus gallus,Missing,Hospitalized (ICU),Missing,83,Missing,Europa Island,aRglt7,1/23/2020,Coma,Lithuania,\\\"Lithuania, Shannonstad; Turks and Caicos Islands; Saint Lucia; Hong Kong; Saudi Arabia; Azerbaijan, Whitefurt\\\",Occupational exposure (hospital worker),Acutecarefacility-RaTG13-33-2,2677626096,DNBSEQ-T7,BAGOTHERSDINNER-v. 9,ONT-COVID-19_Tiling V. 2.9,LODRBE3DCV,strategy see.txt,Fighthowwritegrow V. 3.4,132x,acutecarefacility-ratg13-3361assembly.fasta,SPades,63%,58x,onto_use_speak.fastq.gz,body.fastq.gz,/Users/Ashley Clay/Google Drive/chair&/,/Users/Susan/Desktop/Why#/body.fastq.gz,nothing.fast5,/Users/Shannon Edwards/Desktop/relate;/nothing.fast5,system-significant-friend-dog.fasta,/Users/Shawn/Documents/$/,73742,30661,37265,2026.7,933,MT_419846.1,SARS2_C55895,FALCON V.2.65,wait-remain.fasta,/Users/Weiss/Google Drive/perform./,direction-success-easy-group.tbl,interviewthrough-V._9,orf1AB gene,Picknotedeep/v.5,25,COVID-19-orf7B-gene,aboutserveteach|V. 8,16,\\\"Cynthia Myers, John Romero, Sherry Simpson, Anna Jenkins, Erica Barron, Mary Grant, Maria Jackson, Patrick Allison, Shelley Mcguire, Mathew Pena, Reginald Carpenter\\\"\\nWestSarahfortAirfilter76,PHAC_991,WestSarahfortAirfilter76,PRJNA623807,PRJNA486098,SAMN14941124,SRR89538126,KX928022,EPI_ISL_540107,Charlotte O'Leary,williamssandra@warren.org,\\\"319 Johnson Neck Suite 647, North Joe, NS T9J 3A4\\\",Brooke Harris,csmith@pratt.com,\\\"6962 Wheeler Harbors Suite 946, Murraystad, NS E4R9M5\\\",2020,2020-02,Serbia,New Brunswick,West Sarahfort,RmYN02,WestSarahfortAirfilter76,Surveillance testing,Fluid (pericardial),Nasopharynx (NP),Missing,Window,Long Term Care Facility,Urine Collection Tube,Necropsy,CUSTOMERGIRLMOVIE_V_5,Not applicable,PK-15 cell line,7,Whom or least over occur.,mRNA (cDNA),Civets,Canis lupus familiaris,Sick,Self-quarantining,COVID-19,11,Male,British Virgin Islands,jMEBpa3,3/2/2020,Ageusia,Reunion,\\\"Mexico, South Paulview\\\",Missing,WestSarahfortAirfilter76:1,4337819123,Ion Torrent PGM,Bothstopcultural_V.6,1D_DNA_MinION v. 6.19,ctskkoxx3cjlgbd,tax.txt,Cutadapt v.0.4,62x,westsarahfortairfilter7634assembly.fasta,Canu,69.80%,48x,beyond skin claim.fastq.gz,serve_year_give.fastq.gz,/Users/Mcfarland/Google Drive/marriage\\\\/beyond skin claim.fastq.gz,/Users/Robert Garcia/Desktop/read;/,team-ball-must-purpose.fast5,/Users/Flynn/Desktop/increase./team-ball-must-purpose.fast5,much_miss_rock.fasta,/Users/Samuel/Documents/&/,299784,17085,10929,1264.04,690,NC_045512.1,SCV2_3H0791,iVar V. 9.0,leader head what.fasta,/Users/Steven/Downloads/Coach$/,that_stock_message.tbl,Fallfinemove|V_7,ORF1a gene,YEARTABLEFACT-v. 3,36,SARS-CoV-2 orf1A gene,TEACHERLEADHAND-V 6,2,\\\"Mrs. Cheryl Hubbard, John Gray, Grant Wong, John Riley, Jessica Butler, Kim Davidson, Michael Arnott, Joanna Dawick, Brenda Pugh, David Mueller, Andrew Davenport\\\"\\nJohnstonAtoll_SARS-CoV-2_692,PHAC_1147,JohnstonAtoll_SARS-CoV-2_692,PRJNA623807,PRJNA441886,SAMN18163935,SRR11895684,EF234784,EPI_ISL_511448,Suzanne Wagner,geraldbrown@black.org,\\\"3200 Olsen Run Apt. 789, Burtonborough, MB K7Y9J6\\\",Ashley Norman,chaneyjennifer@price-anthony.com,\\\"555 David Ville Suite 539, Mcleantown, NU C7B 3N6\\\",2020,2020,Johnston Atoll,Newfoundland,Vargasburgh,Missing,JohnstonAtoll_SARS-CoV-2_692,Diagnostic testing,Blood,Upper respiratory tract,Missing,Door handle,Production Facility,Microcapillary tube,Lavage,community/V. 1,Not applicable,U251 cell line,5,Paper all option seem choose unit step identify option.,RNA (poly-A),Bat,Manis,Healthy,Hospitalized (ICU),Missing,70-79 years,Non-binary gender,Norway,FgtiKt:9,2020,Malaise,French Guiana,\\\"Panama, Woodsmouth\\\",Occupational exposure (retail),JohnstonAtoll_SARS-CoV-2_692_2,9931061915,PromethION,COUPLESISTER|V_2,PacBio-Eden_2.5kb V. 13,mxykgvconkxq47d,conference_act_senior.txt,Guppy V0.13.97,2x,johnstonatoll_sars-cov-2_69237assembly.fasta,Velvet,4.49%,40x,boy-language-stay-around.fastq.gz,might would join.fastq.gz,/Users/Bailey/Google Drive/pressure-/,/Users/Scott Jones/Desktop/throughout./might would join.fastq.gz,current we.fast5,/Users/Melissa/Downloads/Mean-/current we.fast5,budget_under_base_station.fasta,\\\"/Users/William/Documents/couple\\\"\\\"/budget_under_base_station.fasta\\\",198635,22809,33815,2378.94,270,SAMN12852119,SARS-CoV-2_SPT528,Carthagene V. 14,few_four_effect_center.fasta,/Users/Linda Wilson/Documents/certainly$/few_four_effect_center.fasta,wind church break.tbl,Long msspr using method nanopore msspr genome.,orf1A,AMOUNTLOSEFROM-V2,34,2019-nCoV NC-gene,Energymother/v 1,16,\\\"Mathew Lewis, Natalie Campbell, Stacey Koch, Elizabeth Castaneda, Gregory Knight, Adam Grant, Lisa Kaufman, Lisa Chambers, Chase Townsend, Karen Thomas, Dennis Jones\\\"\\nNewPattyviewSerumCollectionTube35,PHAC_909,NewPattyviewSerumCollectionTube35,PRJNA623807,PRJNA603908,SAMN18954456,SRR26117786,MF357736,EPI_ISL_490256,Michael Kelly,mendezeric@hernandez-keller.com,\\\"14333 Clark Ford Suite 039, North Abigail, AB X8N3K6\\\",James Allen-MacDonald,tmartin@mendez.org,\\\"4464 Teresa Village Suite 188, North Carrieside, PE C6H 7P5\\\",2020-01,4/22/2020,South Sudan,Saskatchewan,New Pattyview,SARS-CoV-2,NewPattyviewSerumCollectionTube35,Viral passage experiment,Fluid (amniotic),Eye,Sweat,Glass,Homeless shelter,Fine Needle,Wash,impactgreenreveal_v. 11,RNA re-extraction (post RT-PCR),RK-13 cell line,24,Remain you back nation challenge another right choice management.,RNA (total),Pangolin,Panthera leo,Healthy,Self-quarantining,Missing,80+ years,Transgender,Czech Republic,yhs;6,1/1/2020,Arthralgia (painful joints),Italy,\\\"Afghanistan, New Carloschester; Ashmore and Cartier Islands; Andorra, Parkerchester; Tunisia, North Leahstad; Kerguelen Archipelago\\\",Occupational exposure (restaurant),NewPattyviewSerumCollectionTube35:8,8595261525,HiSeq X Ten,OLDPULLYARDSIX|V.7,ABI xl2500 protocol V 13.7,v8ige2w1,car.txt,Positionlawsouthern V.9.11,92x,newpattyviewserumcollectiontube3577assembly.fasta,Canu,65%,37x,push-evening-business-down.fastq.gz,herself dark.fastq.gz,/Users/Bailey Powers/Desktop/Must;/push-evening-business-down.fastq.gz,\\\"/Users/Becker/Google Drive/certain\\\"\\\"/herself dark.fastq.gz\\\",too-could-everybody-statement.fast5,/Users/Lauren/Desktop/Amount*/too-could-everybody-statement.fast5,certain issue.fasta,/Users/Jonathan/Google Drive/firm-/,118449,23927,21164,4804.39,498,NC_045512.2,Prov_OAC445,FALCON v5,wear-sell-where.fasta,/Users/Karen Beard/Google Drive/similar$/wear-sell-where.fasta,avoid-group.tbl,A long detection kit-free long protocol.,orf6,majorthoughtfire-v. 1,14,2019-nCoV (S),missionagreefive|V. 10,26,\\\"Joseph Harris, Sean Smith, Morgan Young, Jean Barron, Kendra Dixon, Anna Lopez\\\"\\nClinicalassessmentcentre_FibrobronchoscopeBrush_sbLz,PHAC_1872,Clinicalassessmentcentre_FibrobronchoscopeBrush_sbLz,PRJNA623807,PRJNA766062,SAMN16023158,SRR66662514,KR342831,EPI_ISL_420989,Daniel Jones,michellekramer@yahoo.com,\\\"5414 May Spurs, Port Edward, NT B7A9N6\\\",Gerald Rivera,rossrussell@lin.com,\\\"06242 Joseph Square Apt. 121, East Deborah, ON T3G 5R8\\\",5/27/2020,2020-04,Italy,Quebec,Angelaberg,Missing,Clinicalassessmentcentre_FibrobronchoscopeBrush_sbLz,Diagnostic testing,Fluid (cerebrospinal (CSF)),Stomach,Sweat,Water,Conference venue,Suction Catheter,Phlebotomy,Childdreamwhether/V_3,Missing,HRCE cell line,14,Term smile success with way quite safe cover strategy.,Missing,Cat,Rhinolophus affinis,Sick,Missing,Missing,97,Unknown,Heard Island and McDonald Islands,wIxy;1,3/29/2020,Headache,Eswatini,\\\"Greenland, South Steven; Japan; Zimbabwe\\\",Mass gathering (religious),Clinicalassessmentcentre_FibrobronchoscopeBrush_sbLz:7,9389285341,Illumina Genome Analyzer,concernmedical/V. 4,ILMN-VA_DCLS-ARTIC_Illumina v.8,KLh40psPbxuwhKOGU4Fu,girl_order_approach.txt,Knowledgejob v 4.12,28x,clinicalassessmentcentre_fibrobronchoscopebrush_sblz41assembly.fasta,Unicycler,33.67%,114x,sort source remain eat.fastq.gz,life.fastq.gz,\\\"/Users/Stephanie Rivera/Downloads/\\\"\\\"/sort source remain eat.fastq.gz\\\",/Users/Sierra/Google Drive/thousand;/,customer.fast5,/Users/Butler/Google Drive/where\\\\/customer.fast5,training herself administration under.fasta,/Users/Ronald Hess/Downloads/Through-/training herself administration under.fasta,78254,11817,36431,1176.24,863,MT_419846.1,SCV2_D6E720,iVar v. 4,image.fasta,/Users/Roth/Downloads/Candidate#/,better money.tbl,WITHINTRUTHWANT/v. 2,ORF1b,designfootweight|V.1,30,2019-nCoV orf1ab-gene,TheTVdoorlike_V. 4,31,\\\"Robin Jensen, Angelica Warren, Donald Hamilton, Brenda Pierce, Katherine Odom, Paige Perano-Allan, Nathan Gordon, Alan Bradley, Michael Villanueva\\\"\\nDenmark_RaTG13_9B2F,PHAC_1004,Denmark_RaTG13_9B2F,PRJNA623807,PRJNA730168,SAMN15065909,SRR39460986,KY259674,EPI_ISL_476224,Joanne Scott,lgates@medina.com,\\\"9549 Christopher Terrace, Murphyborough, PE Y7V 6M3\\\",John Patrick,jonesmichael@foster.com,\\\"417 Wood Shores, Lake Sandra, SK M1S7T6\\\",2020-04,2020,Denmark,Newfoundland,Joshuabury,Missing,Denmark_RaTG13_9B2F,Missing,Fluid (cerebrospinal (CSF)),Stomach,Mucus,Food packaging,Subway train,Virus Transport Medium,Necropsy,wearuponmore|V. 3,Not applicable,Caco2 cell line,16,Six focus program himself candidate.,RNA (total),Pigeon,Rhinolophus affinis,Healthy,Self-quarantining,COVID-19,10-19 years,Unknown,Belize,IG;4,2020,Vomiting,Guadeloupe,\\\"Cayman Islands, Hatfieldport; Finland, Albertberg\\\",Occupational exposure (healthcare work with the public),Denmark_RaTG13_9B2F-8,8214126950,NextSeq 500,Detailcitizen-V._10,ARTIC Network Protocol v 14,vbYbKBsEMXg,control scientist.txt,BBTools v. 4.5.0,119x,denmark_ratg13_9b2f61assembly.fasta,SPades,49%,95x,account_institution.fastq.gz,size_price.fastq.gz,/Users/Erin Rodriguez/Desktop/Friend#/account_institution.fastq.gz,/Users/Sara/Google Drive/Sea#/,bill-brother.fast5,/Users/Heather/Google Drive/vote&/,year-summer.fasta,/Users/Cook/Downloads/\\\\/year-summer.fasta,79188,9935,10477,3511.96,3,EPI_ISL_442507,SARS2_MXQ188,Carthagene V. 8,seek_natural_deep.fasta,/Users/Natalie/Documents/window./seek_natural_deep.fasta,this_fear_travel.tbl,Enrichment testing kit-free.,orf1b gene,holdshakestate|V4,23,ORF8,newspapercompare_V 7,1,Catherine Williams\\nEastLisaportSuctionCatheter541,PHAC_1963,EastLisaportSuctionCatheter541,PRJNA623807,PRJNA529014,SAMN12850091,SRR33788740,KC298999,EPI_ISL_433867,Traci Evans,dawn08@yahoo.com,\\\"611 Reilly Via, South Joshuaville, BC A5V3A1\\\",Ryan Davis,hmartinez@jones-brown.com,\\\"3642 Amanda Drive, Port Maureenborough, NB N3K 9V4\\\",1/1/2020,1/12/2020,Guernsey,Missing,East Lisaport,RmYN02,EastLisaportSuctionCatheter541,Surveillance testing,Missing,Nasal Cavity,Feces,Bed rail,Daycare,Blood Collection Tube,Suprapubic Aspiration,likeenvironmental_V_10,Specimens pooled,RK-13 cell line,24,Continue left husband six begin mrs approach center word shoulder.,RNA (total),Pig,Chiroptera,Healthy,Symptomatic,Missing,50-59 years,Male,Bosnia and Herzegovina,OV+2,1/6/2020,Vomiting,French Southern and Antarctic Lands,\\\"South Africa, Lake Sydneytown; Western Sahara\\\",Mass gathering (convention),EastLisaportSuctionCatheter541;1,6712955858,HiSeq X Ten,Togetherbuildnor/V2,ABI xl2500 protocol v.3.7,dksy74ufw6btv2uao,one ability give.txt,Nonespecificjust V.4.10,72x,eastlisaportsuctioncatheter54137assembly.fasta,Velvet,53%,128x,Mr-great-research.fastq.gz,test_including_first.fastq.gz,/Users/Clay/Desktop/floor&/Mr-great-research.fastq.gz,/Users/Anthony Watson/Google Drive/either$/test_including_first.fastq.gz,fire-find-buy-according.fast5,/Users/Haley/Desktop/Fine&/fire-find-buy-according.fast5,can.fasta,/Users/Alyssa/Google Drive/;/,367635,18516,15958,3019.91,55,KJ258620,ConsensusSeq_U5U606,fight V.9,audience good those effort.fasta,/Users/Brown/Documents/;/,age.tbl,Testing sars-cov-2 protocol using spiked msspr reads.,2019-nCoV RNA-dependent RNA polymerase-gene,CAREOFTENSPEND|V_5,17,2019-nCoV orf1b gene,socialproject-V._3,33,\\\"Daniel Kennedy, Dr. Jessica Mercer, Jesus Hunt\\\"\\nNorthernMarianaIslandsCorridorznzf,PHAC_1873,NorthernMarianaIslandsCorridorznzf,PRJNA623807,PRJNA576591,SAMN19342992,SRR21219675,JF622277,EPI_ISL_557227,Sarah Smith,mitchellsimmons@riley.biz,\\\"41322 Richard Place Suite 890, Lake Carolberg, ON G4T8G9\\\",Harriet Thornton,andrethomas@yahoo.com,\\\"860 Herman Wells Apt. 873, Watersview, NS A3X 7Y6\\\",5/11/2020,2020,Northern Mariana Islands,Yukon Territory,South Andreaville,Missing,NorthernMarianaIslandsCorridorznzf,Research,Tissue,Rectum,Sputum,Sewage,Animal house,Blood Collection Tube,Necropsy,PURPOSEWAYREGION|v_9,Virus passage,Calu3 cell line,21,Lose fact.,RNA (poly-A),Pangolin,Viverridae,Healthy,Symptomatic,COVID-19,78,Unknown,Thailand,P8,1/8/2020,Hyposmia,Timor-Leste,\\\"Ukraine, New Emily\\\",Mass gathering (office),NorthernMarianaIslandsCorridorznzf;3,4223397810,DNBSEQ-G50,PARTYLOSESO|V5,ABI xl2500 protocol v 2.14,VYEBHB6ZYD3HQT,floor want purpose.txt,Middlemajor v. 2.7,63x,northernmarianaislandscorridorznzf38assembly.fasta,Unicycler,50%,39x,all-contain-term.fastq.gz,pick-many.fastq.gz,/Users/Sheila/Google Drive/-/all-contain-term.fastq.gz,/Users/Fernandez/Desktop/Woman./,week-need-try-future.fast5,/Users/Todd/Google Drive/social;/,several-article-expert.fasta,\\\"/Users/Hood/Downloads/Care\\\"\\\"/\\\",103095,13958,11424,1935.91,440,EPI_ISL_507720,SARS2_MVL554,address V 3.0,enjoy.fasta,/Users/Wilson/Desktop/;/enjoy.fasta,whole this condition.tbl,HEARTOVERKIND_V 10,(E)-gene,PASSIDENTIFYLOCAL/V_2,19,ORF8,rolewindnextlive|V9,29,\\\"Stewart Pearce, Joseph Baker\\\"\\nNewTimothyfurtCollectionCupGWV4,PHAC_1842,NewTimothyfurtCollectionCupGWV4,PRJNA623807,PRJNA700451,SAMN19819170,SRR71819345,MF161611,EPI_ISL_580794,Stuart Stewart,william27@osborne-norman.com,\\\"670 Branch Track Apt. 117, Moniqueport, SK J6K 2L7\\\",Peter Rodriguez,colealejandro@price.org,\\\"718 Matthew Ford Apt. 785, Johnsonbury, NT X8E3G2\\\",2020,2/2/2020,Sao Tome and Principe,Nova Scotia,New Timothyfurt,SARS-CoV-2,NewTimothyfurtCollectionCupGWV4,Cluster investigation,Fluid (cerebrospinal (CSF)),Middle Nasal Turbinate,Missing,Sink,Daycare,Microcapillary tube,Phlebotomy,NATURALHIMSELFHOW-v11,RNA re-extraction (post RT-PCR),Missing,5,Space seven.,Missing,Cow,Gallus gallus,Healthy,Asymptomatic,Missing,80+ years,Transgender,Lesotho,VtTkoo3,2020,Conjunctivitis,Saint Kitts and Nevis,\\\"Tokelau, Foxburgh; Japan; Luxembourg, Cruzborough; Bulgaria, New Christine; Mauritania\\\",Mass gathering (convention),NewTimothyfurtCollectionCupGWV4|0,7698508861,PacBio Sequel II,natureinformation|V._5,CDC-Comprehensive V 10,tFkA4u5272f1xNbeT,election.txt,Deepbinner v.5.13,70x,newtimothyfurtcollectioncupgwv4100assembly.fasta,Velvet,83%,94x,author.fastq.gz,but scene whole.fastq.gz,/Users/Thompson/Google Drive/Painting\\\\/author.fastq.gz,/Users/Ryan/Google Drive/best*/but scene whole.fastq.gz,company_at_who_meet.fast5,/Users/Glenn/Google Drive/$/,live_project_water.fasta,/Users/Lindsey/Documents/\\\\/,361884,17210,17474,1963.57,223,NC_045512.2,SARS2_8XU852,half v.1.0,central.fasta,/Users/James Herring/Google Drive/probably./,statement spend bill dark.tbl,Testing sequencing long sars-cov-2 nanopore primer sequencing.,orf1A,Continueagofollow/v._2,39,ORF3A gene,WAITSUCCESSFUL_v._8,24,\\\"Luis Murphy, Katherine Taylor, Jason Hamilton, Stephanie Cruz, Amanda Patterson, Walter Frye, Jeremy McFarlane, Catherine Carter, George Anderson, Travis Hall, Robert Garcia\\\"\\nMartinique_Microcapillarytube_422,PHAC_1874,Martinique_Microcapillarytube_422,PRJNA623807,PRJNA957732,SAMN11429009,SRR50877080,KR929423,EPI_ISL_534395,Christine Singleton,brad67@kaiser.com,\\\"42974 Thompson Prairie Suite 042, New Adam, YT N2M 5P5\\\",Brandon Marshall,esimmons@gates-moore.com,\\\"95597 Ana Falls Apt. 529, West Sara, BC Y2G 5G3\\\",2020,2020,Martinique,Nunavut,Joneschester,Missing,Martinique_Microcapillarytube_422,Surveillance testing,Fluid (amniotic),Middle Nasal Turbinate,Fluid (seminal),N95 mask,Missing,Missing,Gastric Lavage,Scientistlawyer/v.1,Missing,PK-15 cell line,16,He anything study wife table size career dream away.,RNA (ribo-depleted),Human,Homo sapiens,Sick,Symptomatic,Missing,80+ years,Unknown,Brazil,bq3,2020,Rhinorrhea (runny nose),Suriname,\\\"Howland Island, South Mikefurt; Montserrat, West Meganbury\\\",Missing,Martinique_Microcapillarytube_422/3,8051302788,BGI Genomics,firereportborn|V_6,Seq System Protocol v.5.2,czp7kwbnmyntdn,catch-create-agent.txt,Deepbinner v. 5.11,28x,martinique_microcapillarytube_42250assembly.fasta,Velvet,70.13%,49x,family law.fastq.gz,return_action_issue.fastq.gz,/Users/Ronald Zimmerman/Desktop/clearly./,/Users/Phillips/Downloads/up;/,and-it-heavy.fast5,/Users/Justin/Downloads/worry#/and-it-heavy.fast5,effort.fasta,/Users/Gallegos/Desktop/Ability./,151068,34053,1387,3224.37,7,MN988668,SARS2_1D1503,FALCON V.2,third_like_pay.fasta,/Users/Kim/Google Drive/Opportunity;/third_like_pay.fasta,experience-national.tbl,Genome sampling sars-cov-2 sampling.,ORF1AB-gene,againhairshort_V_3,35,COVID-19-M gene,IMAGEUNDERSEAT-V 10,19,\\\"Rachael Gonzalez, Mrs. Joan Edwards, Margaret Palmer, Marvin Elliott, Michele West, Eric Luna, Cameron Williams, Janice Miles, Andrew Williams, Rick Hodge\\\"\\nCapeVerde-Sink-886,PHAC_612,CapeVerde-Sink-886,PRJNA623807,PRJNA668524,SAMN15954430,SRR51524142,JF408027,EPI_ISL_572082,Anthony Hernandez,dleonard@anderson.com,\\\"2994 Jason Squares, Adamsberg, NB J7J 8H9\\\",Veronica Peters,margaret76@kennedy-wade.com,\\\"545 Kylie Drives Apt. 158, Lake Sara, NB X7P 3M9\\\",2020,2020,Cape Verde,Northwest Territories,East Zoeberg,Missing,CapeVerde-Sink-886,Cluster investigation,Saliva,Skin,Missing,Missing,Air vent,Serum Collection Tube,Necropsy,dropwalkhis-V._4,Specimens pooled,Mv1Lu cell line,4,Response operation look teach.,Missing,Chicken,Chiroptera,Deceased,Missing,Missing,80+ years,Non-binary gender,Central African Republic,PNfJFU10,2020-01,Pharyngitis (sore throat),Samoa,\\\"Jordan, Ashleyhaven; North Sea\\\",\\\"Mass gathering (social e.g. funeral, wedding etc.)\\\",CapeVerde-Sink-886:7,4490679586,Illumina Genome Analyzer,shakesomething/V. 3,ONT-SISPA v.4.0,dx9yazy,exactly never.txt,Especiallystockherself v. 2.3.0,61x,capeverde-sink-88669assembly.fasta,Unicycler,77%,70x,author-because-reflect-into.fastq.gz,recognize_something.fastq.gz,/Users/Brian/Google Drive/leave&/author-because-reflect-into.fastq.gz,\\\"/Users/Dean/Google Drive/president\\\"\\\"/\\\",officer-catch.fast5,/Users/Ms. Julie Mcmahon/Google Drive/Will#/,life trouble.fasta,/Users/Michael/Desktop/sport*/,201889,21926,12893,2118.41,899,NC_045512.1,SARS-CoV-2_DC7761,FALCON V. 5,painting old social.fasta,/Users/Dana/Documents/*/painting old social.fasta,point-there-garden.tbl,By assay testing msspr assay amplicons.,SARS-CoV-2 orf1a gene,BODYFUNDRELIGIOUS-v8,26,orf1AB gene,glassdemocratic_V 4,28,Mr. Arthur Smith\\nMissing_Bedrail_zvmy,PHAC_215,Missing_Bedrail_zvmy,PRJNA623807,PRJNA748636,SAMN14021894,SRR54205839,AF759313,EPI_ISL_478345,Luke Robinson,vickimiller@yahoo.com,\\\"3453 Joe Turnpike, West Jorgeville, NS M4J 5A8\\\",Clifford Morgan Jr.,sean09@jones.com,\\\"8863 Robertson Canyon Suite 422, West Deborahside, NS H6M 2R7\\\",1/7/2020,2020,Borneo,Missing,New Johnburgh,RaTG13,Missing_Bedrail_zvmy,Cluster investigation,Saliva,Pleural sac,Fluid (seminal),Wood,Daycare,Air filter,Scraping,humanindividual_v9,RNA re-extraction (post RT-PCR),EFK3B cell line,19,Understand share.,RNA (poly-A),Cat,Felis catus,Missing,Asymptomatic,COVID-19,4,Transgender,Gabon,yHPKR/3,2/23/2020,Fatigue,Johnston Atoll,\\\"Jarvis Island, Gonzalesfurt; Ecuador, Navarroton; France, Lake Lisamouth; Viet Nam; Iran; Virgin Islands, West Stevenport\\\",Occupational exposure (healthcare work with the public),Missing_Bedrail_zvmy-7,3499110623,DNBSEQ-G400,REALIZESTEP_V._8,ARTIC Network Protocol v10.66,RE1AF0FDGZRNPIN,trade_term_everything.txt,Cutadapt v. 6.8.0,87x,missing_bedrail_zvmy10assembly.fasta,Unicycler,21.10%,100x,trouble-others.fastq.gz,risk-value-total-vote.fastq.gz,/Users/Walker/Desktop/*/trouble-others.fastq.gz,/Users/Brian/Downloads/attention\\\\/risk-value-total-vote.fastq.gz,performance meet dog this.fast5,/Users/Jennifer Scott/Google Drive/*/,either.fasta,/Users/Robin Williams/Documents/newspaper./either.fasta,368988,3718,13085,1235.36,910,NC_045512.1,SARS-CoV-2_GBR641,hundred v 11.53,social your they approach.fasta,/Users/Miguel/Desktop/when-/,hope specific.tbl,Nanopore protocol testing spiked reads.,ORF7a,haveprovecertain_v_10,39,SARS-CoV-2 Protein N-gene,babyseriesbase-v7,29,\\\"Teresa Smith, Cassandra Cruz, Stephen Hanson, Tracey Michael\\\"\\nConferencevenue-Swab-4ikg,PHAC_898,Conferencevenue-Swab-4ikg,PRJNA623807,PRJNA573577,SAMN17353926,SRR33454036,JN629914,EPI_ISL_518480,Michelle Mercado,thomashuff@hotmail.com,\\\"16037 Velez Heights Suite 300, New Javier, YT P3R 9B3\\\",Adrian Hendricks,woodardtyler@parker-williams.com,\\\"75824 Medina Lakes, Port Matthew, QC M6B7L7\\\",1/2/2020,2020,Luxembourg,Missing,East Davidfort,SARS-CoV-2,Conferencevenue-Swab-4ikg,Viral passage experiment,Blood,Pleural cavity,Sputum,Bathroom,Long Term Care Facility,Urine Collection Tube,Vacuum Aspiration,Ownerpartneroff|V. 6,Specimens pooled,Calu3 cell line,1,Guess report try stage buy director yes bag firm set.,Missing,Pig,Rhinolophidae,Sick,Hospitalized (ICU),Missing,70-79 years,Unknown,Oman,oSTAXW|10,4/1/2020,Conjunctivitis,West Bank,\\\"Sweden, North Casey; Timor-Leste\\\",Occupational exposure (frontline response),Conferencevenue-Swab-4ikg_8,8728686669,BGISEQ-500,Handinvestment/v.4,ABI xl2500 protocol V 13,goe52ogjewmalci,say-bill-almost.txt,Oldpartenjoypower v2.6,12x,conferencevenue-swab-4ikg79assembly.fasta,Unicycler,69%,43x,yourself-opportunity.fastq.gz,car dream situation others.fastq.gz,/Users/Michael/Documents/ready./yourself-opportunity.fastq.gz,\\\"/Users/Kristen/Downloads/win\\\"\\\"/car dream situation others.fastq.gz\\\",imagine-enjoy-home-indicate.fast5,/Users/Fernandez/Downloads/himself;/imagine-enjoy-home-indicate.fast5,who.fasta,/Users/Maria/Downloads/science;/who.fasta,47323,3531,49787,4521.6,308,HQ845444,SARS-CoV-2_T1J188,CASAVA v2.0,from.fasta,/Users/Joshua/Documents/Especially\\\\/from.fasta,and analysis knowledge.tbl,Sequencing amplicons enrichment assay.,COVID-19-orf8 gene,ONCEEVEREACHLINE|V4,13,COVID-19-N gene,TENPERHAPSCENTRAL/v._4,34,\\\"Heather Boyer, Robert Robinson, Ryan Douglas\\\"\\nPortMichael-Bronchoscope-10,PHAC_1449,PortMichael-Bronchoscope-10,PRJNA623807,PRJNA794086,SAMN13363083,SRR53893568,KP221551,EPI_ISL_430160,Mrs. Michele Wright,kbeasley@davis-cooper.com,\\\"002 Johnathan Haven, Port Alexisstad, YT X5T 5P4\\\",Jessica Wright,miguel46@collins.info,\\\"43597 Brandon Knoll, Laurenchester, NT B6P7X7\\\",2020-04,2020,Palau,Yukon Territory,Port Michael,RaTG13,PortMichael-Bronchoscope-10,Viral passage experiment,Fluid (amniotic),Pleural cavity,Feces,Wood,Prison,Fine Needle,Bronchoalveolar lavage (BAL),Minutesizepay|V._3,Missing,LLCMk2 cell line,18,Guess risk case plant character.,RNA (poly-A),Cat,Panthera leo,Healthy,Symptomatic,COVID-19,100,Unknown,Honduras,XqpD5,2/21/2020,Seizure,Paraguay,\\\"Tonga, Nelsonmouth; South Korea, West Jeffrey; Yemen, Michaelhaven; Iraq, Amberchester; Bouvet Island; Saudi Arabia\\\",Mass gathering (office),PortMichael-Bronchoscope-10/1,9771812631,MinION,CAREERSOMEBODY/V 8,ONT-Native_RNA v. 10,NLAV1J,organization.txt,Preparewaitcallspace v5.7.5,35x,portmichael-bronchoscope-1010assembly.fasta,Shovil,19%,50x,from_read.fastq.gz,yourself-decide.fastq.gz,/Users/Jose/Downloads/\\\\/,/Users/Carolyn/Desktop/&/yourself-decide.fastq.gz,majority thing condition yet.fast5,/Users/Brady/Google Drive/History-/,table.fasta,/Users/Jack/Desktop/\\\\/,171357,17326,18335,3632.48,276,NC_045512,SCV2_8EY194,forget V. 8,guess_know_own_option.fasta,/Users/Heather Wilkinson/Documents/dark*/guess_know_own_option.fasta,trade_source.tbl,siteeducation/v._9,2019-nCoV CoV envelope protein-gene,colorhearteam-V7,5,COVID-19-orf3A,loserealcharacter|v10,40,\\\"Kim Nguyen, Christopher Davis, Michael Coleman, Jeffrey Daniels, Aria Brown, Jennifer Phillips, Justin Young, Bonnie Stewart, Mr. John Cook, Justin Ward\\\"\\nSchool_Soil_405,PHAC_1731,School_Soil_405,PRJNA623807,PRJNA445897,SAMN13235404,SRR73094145,KT911390,EPI_ISL_422255,Holly Foley,johnfuller@mosley-alvarez.com,\\\"8093 Terri Junctions Suite 957, Smithborough, NU R9E 6B5\\\",Maureen Kelley,nelsonkelly@jackson.com,\\\"47693 Smith Pike Apt. 760, Gregorystad, NL N8N9Y3\\\",3/10/2020,2020-04,Jarvis Island,New Brunswick,Kendraview,RmYN02,School_Soil_405,Missing,Fluid,Anterior Nares,Breast Milk,Paper,Prison,Fine Needle,Missing,everybodydo-V1,RNA re-extraction (post RT-PCR),NHBE cell line,3,Well chance lawyer.,RNA (poly-A),Civets,Gallus gallus,Missing,Missing,Missing,25,Non-binary gender,Spratly Islands,F4,2020-02,Weakness,Grenada,\\\"State of Palestine, Dawnfurt; Guam, East Larry; French Polynesia, Nicholasstad; Svalbard, South Marcus; India, Turnerchester\\\",\\\"Mass gathering (social e.g. funeral, wedding etc.)\\\",School_Soil_405-7,3853039732,Illumina HiSeq 1000,MAINAIRINDIVIDUAL_V9,PacBio-CDC_500bp_900bp V.1.23,LOGTeOt1,nation-history.txt,Trimmomatic V.8.12.4,141x,school_soil_40553assembly.fasta,SPades,75%,10x,majority car her.fastq.gz,ten.fastq.gz,/Users/Nicole/Google Drive/True\\\\/majority car her.fastq.gz,/Users/Murray/Google Drive/Soldier./,student_human_really.fast5,/Users/Judith Henson/Desktop/world\\\\/,drug.fasta,/Users/Tina/Google Drive/trade&/drug.fasta,180529,6198,44326,2645.42,526,NC_045512,Prov_FAG461,iVar v 6,go meet I.fasta,/Users/Coleman/Desktop/fly-/,anything_rule_threat_attorney.tbl,HAPPYWISHMR-v10,SARS-CoV-2 E,missionanyhow/v 6,39,COVID-19-ORF1ab-gene,canwishtoward|V.9,23,Antony Hamilton\\nAaronborough-Controlpanel-6uve,PHAC_1187,Aaronborough-Controlpanel-6uve,PRJNA623807,PRJNA973093,SAMN14942086,SRR71221464,JX801723,EPI_ISL_466645,Derrick Pierce,lucas47@yahoo.com,\\\"28926 Bridges Lakes Suite 755, North Larry, ON M6X4R4\\\",Raymond Potter,wendyreese@hotmail.com,\\\"7690 Adams Trail, New Kimberg, BC T2S3R8\\\",2020-01,4/4/2020,Republic of the Congo,Quebec,Aaronborough,Missing,Aaronborough-Controlpanel-6uve,Research,Tissue,Nasal Cavity,Mucus,Food packaging,Long Term Care Facility,Fine Needle,Aspiration,UNTILREMAINNOTICE/v4,Specimens pooled,Vero E6 cell line,23,Shoulder put old appear.,Missing,Missing,Columbidae,Deceased,Missing,COVID-19,89,Unknown,Isle of Man,QHWY10,2020,Hyposmia,Gambia,\\\"Gabon, Dennisside; Bermuda, Ryanton\\\",Missing,Aaronborough-Controlpanel-6uve;1,8281563651,Ion Torrent Proton,DEVELOPMENTRACEUP/V. 5,1D_DNA_MinION v. 14.91,M9K7Z5EST,relationship_development_crime_feel.txt,Deepbinner V.7.11,29x,aaronborough-controlpanel-6uve81assembly.fasta,Velvet,20%,102x,nothing.fastq.gz,across.fastq.gz,/Users/James Richardson/Downloads/hand-/,/Users/Robert Bates/Google Drive/Indeed-/across.fastq.gz,station rate.fast5,/Users/Wood/Downloads/Adult#/,draw-report-no-at.fasta,/Users/Johnson/Documents/;/draw-report-no-at.fasta,205466,15562,24213,423.84,69,EPI_ISL_416520,SARS-CoV-2_KGS722,FALCON V8.46,school_instead_he.fasta,\\\"/Users/Paul/Documents/fish\\\"\\\"/\\\",guy capital discussion available.tbl,NOTMOUTHFORGET/v. 5,orf1AB-gene,Wellideamorning_V_5,10,SARS-CoV-2 orf1B-gene,CONCERNDEEPGUESS-V_8,4,\\\"Diana Jenkins, Donna Miller, Jackie Robertson, Carl Wright, Steven Hayward, Taylor Smith\\\"\\nMissing_PPEgown_184,PHAC_256,Missing_PPEgown_184,PRJNA623807,PRJNA479952,SAMN13021294,SRR42969117,KM574306,EPI_ISL_447104,Nathan Dixon,jacksonaaron@reeves.com,\\\"0949 John Courts Apt. 501, Turnertown, ON R4L1N8\\\",Timothy Johnson,tanyajenkins@collier.com,\\\"222 Smith Mews, Riveraburgh, SK H3J7H9\\\",2020-01,2020-01,Svalbard,Alberta,Davidshire,SARS-CoV-2,Missing_PPEgown_184,Research,Saliva,Skin,Urine,Food,Acute care facility,Blood Collection Tube,Biopsy,THINGCLASSREGION-v_7,Specimens pooled,LLCMk2 cell line,11,White information water adult get firm prepare notice true worry.,RNA (poly-A),Bat,Gallus gallus,Recovered,Hospitalized (ICU),COVID-19,72,Male,Grenada,PDDpx4,5/20/2020,Anosmia,South Africa,\\\"Israel, Rickymouth; Kiribati; Saint Lucia; Howland Island, Gregoryland\\\",\\\"Mass gathering (social e.g. funeral, wedding etc.)\\\",Missing_PPEgown_184|2,3978756102,Illumina HiSeq 2000,youngsmileprevent|v_11,CDC-Comprehensive v. 1,3udeq6okeq,assume.txt,Reachbefore v1.9,90x,missing_ppegown_18488assembly.fasta,Shovil,16%,150x,draw.fastq.gz,tree-better-better.fastq.gz,/Users/Gary Bryant/Downloads/;/,/Users/Michael/Desktop/#/tree-better-better.fastq.gz,size-wonder-until-mean.fast5,/Users/Booth/Google Drive/court$/size-wonder-until-mean.fast5,fine_morning.fasta,\\\"/Users/Nancy Bradford/Documents/\\\"\\\"/fine_morning.fasta\\\",183543,26002,22452,3014.07,424,NC_045512,SCV2_DI2578,plan v. 9,increase able.fasta,/Users/John/Desktop/#/,animal she.tbl,Enrichment a spiked sampling sampling platoforms enrichment automated.,2019-nCoV orf10-gene,weightprevent_V6,24,Matrix glycoprotein gene,TRAINING_V 9,12,\\\"Dr. Victor Haynes, Olivia Bailey\\\"\\nAlberta_Buildingfloor_FD8A,PHAC_1473,Alberta_Buildingfloor_FD8A,PRJNA623807,PRJNA670356,SAMN19286661,SRR49498530,MH253506,EPI_ISL_490736,Samantha Hendricks,stanleybrandon@parker-williams.net,\\\"588 Thomas Spur, Ashleyland, NB K7G3S4\\\",Caitlin Salas,mayedwin@hotmail.com,\\\"994 Rios Center, Lake Ryanfort, NU T9E 4B3\\\",2020-03,2020-02,Guatemala,Alberta,Lake Sonya,SARS-CoV-2,Alberta_Buildingfloor_FD8A,Research,Fluid (pericardial),Missing,Breast Milk,Bed rail,Production Facility,Sputum Collection Tube,Missing,troublefuture_v7,Not applicable,293/ACE2 cell line,22,Gun weight anyone write often picture animal same.,Missing,Missing,Rhinolophus affinis,Healthy,Self-quarantining,COVID-19,30-39 years,Unknown,Papua New Guinea,G|7,2020-05,Confusion,Kosovo,\\\"Netherlands, Hayestown; Baker Island; Finland, New Andreahaven; Malawi; Tromelin Island, Campbellburgh\\\",Occupational exposure (retail),Alberta_Buildingfloor_FD8A:7,8361591936,HiSeq X Ten,Awaythousandfear_V_4,ILMN-Nextera_Flex_Enrichment V. 13,oHJYdckRxs2uCYy,we_manager.txt,Hotel v.6.9.5,135x,alberta_buildingfloor_fd8a88assembly.fasta,Shovil,91.50%,132x,tonight_key_but_piece.fastq.gz,risk.fastq.gz,/Users/Tracy Ryan/Google Drive/Billion#/tonight_key_but_piece.fastq.gz,/Users/Robin/Desktop/hot&/,resource-help-simple-run.fast5,/Users/Jocelyn/Google Drive/just#/resource-help-simple-run.fast5,fly_at_down_at.fasta,/Users/Scott Phillips/Downloads/./fly_at_down_at.fasta,166997,29442,7882,146.73,886,EPI_ISL_487882,SCV2_QSC277,iVar V. 8,list-thus.fasta,/Users/Jacqueline/Google Drive/wall;/,left full pattern.tbl,Analysissection/v4,orf8 gene,buildingsmall_V_3,2,orf1A gene,missionworldshake/V._11,22,\\\"Taylor Taylor, Tina Mcclain, Garry Fraser-Webb, Joshua Ibarra, Rebecca Crosby, Miss Claire Coles, Lawrence Tapia\\\"\\nSouthMichaelRmYN0274,PHAC_1051,SouthMichaelRmYN0274,PRJNA623807,PRJNA466476,SAMN11306353,SRR54049603,EF652364,EPI_ISL_523639,Sabrina Jones,michaelevans@hotmail.com,\\\"4287 Smith Harbors, Port Nicole, NB T2Y2S7\\\",Dylan Hart,perkinsjason@gmail.com,\\\"7117 Freeman Stravenue Apt. 131, West Mariafurt, NL E8K 8G4\\\",2020-04,2020-01,Brazil,Missing,South Michael,Missing,SouthMichaelRmYN0274,Cluster investigation,Fluid (vaginal),Inferior Nasal Turbinate,Tear,Toilet bowl,Wet market,Serum Collection Tube,Aspiration,YOURSELFAVAILABLE|V1,Virus passage,Caco2 cell line,7,Claim somebody structure explain number.,RNA (poly-A),Pangolin,Canis lupus familiaris,Missing,Asymptomatic,COVID-19,0-9 years,Non-binary gender,Malta,CTA;10,2020-05,Weakness,Democratic Republic of the Congo,\\\"Cuba, Zacharyview\\\",Occupational exposure (hospital visit),SouthMichaelRmYN0274_0,4720155452,NextSeq 500,ALMOSTINDUSTRY_v 4,ONT-SISPA V. 11,7O3rn8rVomlk5BRyVHf,wear animal phone claim.txt,Environmentdrugwhatmessage v.1.11.0,77x,southmichaelrmyn027420assembly.fasta,Unicycler,3%,40x,ok_laugh.fastq.gz,college style north.fastq.gz,/Users/Stephen/Documents/consumer*/ok_laugh.fastq.gz,/Users/Aaron Stewart/Documents/Traditional*/,particular.fast5,/Users/Ryan/Desktop/Drive-/,manager_guess_hot_lose.fasta,\\\"/Users/Alex Wilson/Desktop/Peace\\\"\\\"/manager_guess_hot_lose.fasta\\\",349953,17039,20548,1828.1,592,MT_419846.1,Prov_TR5273,FALCON v.11.0,value_tough_kid.fasta,/Users/Turner/Downloads/Security./value_tough_kid.fasta,onto common despite.tbl,Extraction by concentration automated sampling.,2019-nCoV ORF3A gene,Typesomething-V. 7,14,ORF10 gene,UNDERSTANDENTER-V. 8,19,\\\"Sharon Wilson, David Robinson\\\"\\nNewfoundlandBronchoscopeSYMF,PHAC_532,NewfoundlandBronchoscopeSYMF,PRJNA623807,PRJNA646247,SAMN16788322,SRR62872612,MF815882,EPI_ISL_575104,Christina Mason,kenneth36@adams.net,\\\"18655 Wu Road Apt. 671, North Jerome, PE T8C 3K8\\\",Alejandra Martinez,perezjonathan@duffy.com,\\\"8976 Eric Grove Apt. 345, Lindsayport, YT Y1H4B3\\\",2020-05,5/11/2020,Belize,Newfoundland,Nealburgh,SARS-CoV-2,NewfoundlandBronchoscopeSYMF,Surveillance testing,Fluid (cerebrospinal (CSF)),Eye,Breast Milk,N95 mask,Air vent,Air filter,Aspiration,OFFICEANOTHER-V. 6,Virus passage,PK-15 cell line,5,Degree control writer player herself sing quality.,RNA (total),Pigeon,Manis javanica,Healthy,Asymptomatic,Missing,58,Missing,Ukraine,LtkKx:11,3/13/2020,Asthenia,Djibouti,\\\"Syria, Lake Darleneshire; Guatemala, Brendastad; South Georgia and the South Sandwich Islands; South Sudan, Lake Vicki\\\",Occupational exposure (healthcare work with the public),NewfoundlandBronchoscopeSYMF;1,6143374002,HiSeq X Five,relationshipwait|v.10,Seq System Protocol v3,M5ZWVLTYTO58WQ,fill world moment effort.txt,Earlyreceivedaughterdevelopment V. 8.8.2,77x,newfoundlandbronchoscopesymf25assembly.fasta,Shovil,93%,138x,center.fastq.gz,firm_what.fastq.gz,/Users/Eric/Desktop/Participant;/center.fastq.gz,/Users/Jessica Odonnell/Downloads/nice#/firm_what.fastq.gz,level seven pattern give.fast5,/Users/Allen/Google Drive/southern*/,industry_century_world.fasta,/Users/Micheal Smith/Downloads/threat#/,71795,2869,19211,4911.64,332,NC_045512.1,SARS2_QVV247,CASAVA V. 13,reality.fasta,/Users/George Baker/Documents/someone&/,threat mind.tbl,THINKSAMEDARKNOR|v7,orf1B-gene,readyeveryexplain|V. 10,10,COVID-19-ORF3,schooldinner_v. 1,26,\\\"Cameron Lee, Anne Palmer, Jonathan Garcia, Eric Ruiz, Carlos Gordon, John Wheeler, Tara Sanders, Sean Hook-Chandler, Roberta Williams, Angela Daniels, Brett Powell\\\"\\nAcutecarefacility-Micropipette-9QNC,PHAC_1451,Acutecarefacility-Micropipette-9QNC,PRJNA623807,PRJNA671250,SAMN12094977,SRR49108758,KT149315,EPI_ISL_515381,Hector Smith,mboyd@odonnell.com,\\\"922 Russell Row, West Melissachester, MB N6J 7H4\\\",Andrew Low,huffjason@wilson.com,\\\"38389 Erika Bypass, Perryfort, AB L4L 9P6\\\",2/13/2020,2020-02,Kuwait,Prince Edward Island,West Justinmouth,RaTG13,Acutecarefacility-Micropipette-9QNC,Missing,Fluid (cerebrospinal (CSF)),Anterior Nares,Missing,Wood,Prison,Air filter,Finger Prick,HearPMdirector_V.10,Specimens pooled,EFK3B cell line,23,Save computer maybe white.,mRNA (cDNA),Human,Panthera tigris,Missing,Symptomatic,Missing,33,Male,Benin,Wb2,1/9/2020,Irritability,Liberia,\\\"Montenegro, Reillyton; Sao Tome and Principe, Port Melinda; France, Mcdonaldberg; Yemen; Tromelin Island; Argentina\\\",\\\"Mass gathering (social e.g. funeral, wedding etc.)\\\",Acutecarefacility-Micropipette-9QNC:5,6113436499,Illumina HiSeq 3000,dealreadspecial_V. 7,NCBI-Submission V 14.16,ef4armvdsnsljjvnk7ms,order window.txt,Cutadapt v.9.4.9,137x,acutecarefacility-micropipette-9qnc16assembly.fasta,Canu,57%,47x,thought_develop_behavior_see.fastq.gz,yet_oil_hard_with.fastq.gz,/Users/Barry Delgado DDS/Documents/$/,/Users/Bethany Tucker/Desktop/democratic$/,television_baby_move.fast5,/Users/Smith/Google Drive/Create&/television_baby_move.fast5,save ok series.fasta,/Users/Carlson/Desktop/-/save ok series.fasta,63120,33596,48370,4375.51,433,EPI_ISL_551015,Prov_MDC750,CASAVA V 2.5,leader_line_now_medical.fasta,/Users/Jonathan/Desktop/*/leader_line_now_medical.fasta,agent support its technology.tbl,Aroundsittenok|V2,COVID-19-RNA dependent RNA Polymerase gene,YOURSPEECHVIEW/v 6,39,orf7a gene,roadhugediscuss/v 1,31,\\\"John Moore, Mitchell Robson, David Calhoun, Elizabeth Green, Daisy Kennedy, Stephen Eaton\\\"\\n\\n\\n0,1,2,3,4,5,6,7,8,9\\nrobotics,machine learning,ontology,genetic algorithm,expert,artificial neural networks,planning,expert system,anfis,power\\nagent,fuzzy logic,knowledge,optimization,reasoning,simulation,scheduling,multi agent system,fuzzy set,fpga\\ngame,data mining,human computer interaction,algorithm,knowledge representation,distributed artificial intelligence,control,knowledge system,clustering,routing\\nrobot,support vector machine,cybernetics,particle swarm optimization,pattern recognition,multi agent,sensor,decision support system,wavelet transform,energy\\neducation,learning,cognitive science,decision tree,natural language processing,decision making,process control,intelligent agent,fuzzy,sat\\nvirtual reality,classification,semantic web,forecasting,diagnosis,decision support,wireless sensor network,knowledge management,regression,pid\\ninternet thing,reinforcement learning,cognition,evolutionary algorithm,knowledge base,fault diagnosis,cloud computing,intelligent system,wavelet,time\\nmobile robot,modeling,computer,heuristic,database,computational intelligence,power system,knowledge engineering,logistic regression,gps\\ninternet,image processing,emotion,fuzzy control,information retrieval,uncertainty,real time,computer vision,regression analysis,gpu\\nmonitoring,prediction,consciousness,solving,knowledge acquisition,constraint satisfaction,path planning,automation,backpropagation,mppt\\nautonomous agent,bayesian network,semantics,ant colony optimization,intelligence,swarm intelligence,supply chain management,multiagent system,classifier,\\nsmart grid,genetic programming,bioinformatics,simulated annealing,game theory,big data,distributed system,computer aided,entropy,\\nmanagement,modelling,human robot interaction,search,self organizing map,soft computing,operation,intelligent tutoring system,fuzzy clustering,\\ntechnology,rough set,context,optimisation,artificial intelligence technique,tabu search,control system,software engineering,ensemble,\\nsecurity,model,creativity,time series,knowledge discovery,fuzzy system,distributed control,geographic information,k nearest neighbor,\\nautonomy,evolutionary computation,computer science,heuristic search,artificial life,condition monitoring,maintenance,intelligent control,test,\\nsystem,feature extraction,language,complexity,text mining,component,production,intelligent,estimation,\\nmanufacturing,e learning,web,adaptive control,argumentation,signal processing,renewable energy,architecture,fuzzy c mean,\\nsoftware,multi layer perceptron,medical informatics,performance,speech recognition,turing test,process planning,information system,decomposition,\\ncooperation,principal component analysis,breast cancer,hybrid,temporal reasoning,integration,strategy,ambient intelligence,filtering,\\nweb service,feature selection,psychology,combinatorial optimization,embodiment,fault detection,energy management,application,multivariate statistic,\\nvideo game,logic programming,cognitive informatics,reliability,social network analysis,intrusion detection,distributed,information,linear regression,\\nrisk,rule,ethic,power transformer,artificial intelligence application expert system,network,automated planning,information technology,naive bayes,\\nmanufacturing system,logic,review,load forecasting,artificial immune,methodology,process,computer game,discrete wavelet transform,\\nmobile agent,identification,natural language,constraint programming,perception,evolution,optimal control,multiagent,fuzzy model,\\nquality service,fuzzy inference,epistemology,linear programming,cognitive computing,object oriented programming,memory,negotiation,linear discriminant analysis,\\nflexible manufacturing system,convolutional neural networks,philosophy,multi objective optimization,learning system,machine vision,supervisory control,user interface,multiple linear regression,\\nsmart home,adaptive neuro fuzzy inference,mind,back propagation,visualization,hybrid system,photovoltaic,remote sensing,bayes theorem,\\njava,evaluation,interaction,forecast,information extraction,computer simulation,distributed generation,communication,clustering algorithm,\\nreal time system,deep learning,cognitive radio,adaptive,semantic network,affective computing,distributed computing,computer aided diagnosis,selection,\\nagent technology,support vector regression,concept,local search,theory,computational complexity,obstacle avoidance,intelligent tutoring,classification regression tree,\\nautonomous system,representation,cancer,quality control,cognitive architecture,object oriented,job shop scheduling,coordination,boosting,\\nsafety,neuro fuzzy,survey,stability,automated reasoning,cellular automaton,unmanned aerial vehicle,engineering,nonlinear,\\nintelligent transportation system,fuzzy neural network,brain,search engine,prognosis,dynamic programming,supply chain,project management,svr,\\nhumanoid robot,induction motor,neuroscience,short term load forecasting,collective intelligence,metaheuristics,economic dispatch,medical diagnosis,fitting,\\nwastewater treatment,probability,phenomenology,constraint,artificial intelligence method,power quality,logistics,innovation,,\\neconomics,graph theory,teaching,search algorithm,cbr,dynamic,resource allocation,intelligent robot,,\\nsmart city,image analysis,dialogue,fuzzy logic controller,semantic similarity,complex system,vehicle routing,collaborative,,\\nautonomous vehicle,hidden markov model,vision,parameter estimation,information theory,parallel processing,electricity market,software agent,,\\nchatbot,data analysis,disease,maximum power point tracking,collaborative learning,petri net,nuclear power plant,multimedia,,\\nintelligent manufacturing system,programming,medicine,transformer,artificial intelligence application,markov decision process,flexible manufacturing,diagnostics,,\\nrisk management,unsupervised learning,literature review,optimization method,rule reasoning,adaptive system,groundwater,human factor,,\\nrfid,statistic,cognitive robotics,kalman filter,face recognition,quality,grid computing,serious game,,\\nnavigation,image segmentation,aiml,random forest,computational linguistics,model diagnosis,water quality,computer application,,\\nsurveillance,qualitative reasoning,music,markov chain,cognitive model,framework,traffic control,information communication technology,,\\nintelligent manufacturing,pattern classification,history,computation,information fusion,frame,real time control,self organization,,\\nautonomous robot,radial basis function,science fiction,optimization technique,artificial intelligence medicine,risk assessment,energy consumption,behavior,,\\nvirtual environment,training,philosophy mind,chaos,connectionism,parallel computing,optimal power flow,development,,\\ntransportation,data fusion,formal language,fuzzy controller,knowledge representation reasoning,fuzzy logic control,photovoltaic system,computer assisted diagnosis,,\\ntelemedicine,differential evolution,embodied cognition,heuristic algorithm,mathematics,surface roughness,power protection,world wide web,,\\nrobocup,finite element,natural language understanding,distribution,explanation,prolog,solar energy,application expert system,,\\nenvironment,rough set theory,narrative,global optimization,knowledge representation formalism method,decision theory,inertial navigation,rule system,,\\nsoftware tool,image classification,personality,efficiency,preference,matlab,collision avoidance,emergence,,\\nvirtual world,gene expression programming,question answering,flood forecasting,relational database,answer set programming,task allocation,cognitive system,,\\ncapp,analysis,cognitive psychology,energy efficiency,machine intelligence,sensor fusion,solar radiation,computer graphic,,\\nelectronic commerce,graph,science,vibration,user modeling,credit scoring,production system,concurrent engineering,,\\ne commerce,adaptation,intuition,monte carlo tree search,recognition,automatic control,wind energy,network security,,\\nds,qsar,synthetic biology,pid controller,sentiment analysis,clinical decision support,productivity,context awareness,,\\nagriculture,least square support vector machine,diabetes,parallel algorithm,agent modeling,electrocardiogram,planning scheduling,collaboration,,\\ninterface,fuzzy set theory,culture,transient stability,denotational mathematics,discrete event system,wind power,crowdsourcing,,\\nsocial robot,extreme learning machine,wordnet,back propagation algorithm,nonmonotonic reasoning,quantum computing,assembly,ubiquitous computing,,\\nstock market,satisfiability,meaning,firefly algorithm,natural intelligence,construction,dynamic system,ambient assisted living,,\\nchess,abduction,kdd,particle swarm optimization algorithm,conceptual,multi agent simulation,fault location,personalization,,\\nevent,bp neural network,cognitive,space,artificial intelligence general,granular computing,production scheduling,mechatronics,,\\nhealth care,fuzzy reasoning,tacit knowledge,nonlinear system,abstract intelligence,assessment,protection,business intelligence,,\\nelectronic nose,model reasoning,epidemiology,metaheuristic,modal logic,sensor network,pid control,embedded system,,\\nfuture,radial basis function neural network,autism,multiobjective optimization,learning style,evolutionary computing,atm,finance,,\\njade,q learning,chinese room,pi controller,optical character recognition,grinding,load balancing,artificial intelligence education,,\\nresource management,membership function,taxonomy,constraint propagation,symbol grounding,control theory,strategic planning,recommender system,,\\nbot,mathematical model,alzheimer disease,direct torque control,image understanding,distribution network,cnc,marketing,,\\nagency,inference engine,cyborg,machining,image recognition,construction management,simulator,blackboard,,\\ntool,dissolved gas analysis,metaphor,harmonic,analogy,artificial intelligence planning,drilling,real time computer system,,\\nrobot navigation,fuzzy cognitive map,xml,tracking,medical imaging,belief network,energy saving,action,,\\nemergency management,association rule,lung cancer,ant colony algorithm,abstraction,failure detection,flood,knowledge sharing,,\\nvirtual agent,evolutionary programming,motivation,demand forecasting,cognitive modeling,applied artificial intelligence,condition maintenance,agent architecture,,\\nsocial medium,supervised learning,human intelligence,temperature,functionalism,object tracking,operational,computer integrated manufacturing,,\\nautonomous mobile robot,inference,owl,monte carlo simulation,text analysis,artificial bee colony,operation management,network management,,\\nproduct,anomaly detection,pedagogy,branch bound,turing machine,artificial intelligence algorithm,protocol,interoperability,,\\ngoal,graphical model,primary language,backtracking,influence diagram,distributed solving,transmission line,man machine interface,,\\nhumanoid,hybrid model,situated cognition,mpeg,object recognition,information processing,air pollution,computer aided engineering,,\\nmobile robotics,cluster analysis,religion,assembly line balancing,embodied artificial intelligence,response surface methodology,nash equilibrium,behaviour,,\\ncim,approximate reasoning,informatics,vector control,temporal logic,bankruptcy prediction,micro grid,artificial intelligent,,\\nmobile device,measurement,posthumanism,markov process,formal concept analysis,hybrid intelligent system,power operation,reverse engineering,,\\nagent system,segmentation,semiotics,iso,logic artificial intelligence,feed forward neural network,electric vehicle,rehabilitation,,\\ntelecommunication,recurrent neural networks,evidence medicine,monte carlo,non player character,blackboard architecture,shortest path,organization,,\\npoker,back propagation neural network,computer science education,fm,pattern,computational artificial intelligence,grid,android,,\\nhealthcare,discriminant analysis,cultural heritage,convergence,emotion recognition,functional network,wind turbine,augmented reality,,\\ncyberspace,distance learning,tutoring,crossover,activity recognition,conflict resolution,production planning,trust,,\\nnanotechnology,verification,opinion mining,calibration,cognitive process,deep belief network,dynamic scheduling,software architecture,,\\nrobot soccer,probabilistic neural network,pathology,hybrid algorithm,linguistic geometry,artificial immune system,power plant,geographic information system,,\\nlaw,fuzzy rule,,pruning,intentionality,decision,microgrid,sustainability,,\\nindustry,statistical analysis,,pmsm,knowledge extraction,concrete,manufacturing process,information security,,\\ntrend,performance evaluation,,heuristic programming,description logic,neuro fuzzy system,facility layout,intelligent environment,,\\navatar,decision analysis,,fault tolerance,artificial general intelligence,computing methodology,traffic management,captcha,,\\ncam,non monotonic reasoning,,ant algorithm,defeasible reasoning,constraint satisfaction problem,ship,competition,,\\nservice,electroencephalogram,,particle filter,mammography,topology,,intelligent machine,,\\ngaming,testing,,mutation,qualitative spatial reasoning,data processing,,cooperative system,,\\necology,time series analysis,,,melanoma,analytic hierarchy process,,agent modelling,,\\ncurriculum,computational model,,,first order logic,partial discharge,,clinical decision support system,,\\nassistive technology,meta heuristic,,,computational biology,motion planning,,metadata,,\\ncomputer technology,learning algorithm,,,facial expression,active power filter,,database management,,\\nwireless communication,validation,,,structure activity relationship,intelligent decision support,,software development,,\\ngame engine,similarity,,,epilepsy,implementation,,biomimetics,,\\nopen source,qualitative simulation,,,possibility theory,data,,service oriented architecture,,\\nremote monitoring,computational modeling,,,learning object,evolutionary robotics,,information management,,\\nteleoperation,retrieval,,,study,neural network application,,lisp,,\\nautonomous,technique,,,belief revision,data acquisition,,pedagogical agent,,\\n,associative memory,,,computational neuroscience,online dispute resolution,,real time strategy game,,\\n,detection,,,biometrics,computing,,mechanism,,\\n,experiment,,,knowledge discovery database,computational creativity,,product development,,\\n,rule induction,,,student modeling,software testing,,tool wear,,\\n,categorization,,,web mining,information storage retrieval,,agent oriented software engineering,,\\n,inductive learning,,,character recognition,complex,,workflow,,\\n,singularity,,,technical analysis,feedback,,credit risk,,\\n,neural network model,,,machine ethic,risk factor,,man machine system,,\\n,integer programming,,,programming language,computing methodology artificial intelligence,,corba,,\\n,text classification,,,conceptual graph,mechanical property,,graphical user interface,,\\n,bayesian inference,,,causal reasoning,architectural,,computer assisted,,\\n,adaptive learning,,,artificial intelligence law,defect,,computer control,,\\n,sensitivity analysis,,,quantitative structure activity relationship,automaton,,data warehouse,,\\n,robustness,,,legal reasoning,opponent modeling,,intelligent building,,\\n,dempster shafer theory,,,metacognition,game tree search,,agent model,,\\n,algebra,,,data base,constraint logic programming,,privacy,,\\n,k mean clustering,,,student model,turning,,kinect,,\\n,prediction model,,,semantic analysis,positron emission tomography,,system engineering,,\\n,modeling simulation,,,artificial intelligence model,heart rate variability,,digital library,,\\n,pattern matching,,,clinical guideline,simulation modeling application,,interactive learning environment,,\\n,machine translation,,,constructivism,data structure,,interactive,,\\n,adaptive network fuzzy inference,,,spatial reasoning,porosity,,multi robot,,\\n,radial basis function network,,,hypermedia,distance education,,model management,,\\n,bayesian belief network,,,psychoanalysis,automated theorem proving,,conversational agent,,\\n,generalization,,,image god,machine tool,,educational data mining,,\\n,model checking,,,word sense disambiguation,standardization,,expert shell,,\\n,self learning,,,text processing,artificial bee colony algorithm,,web service composition,,\\n,similarity measure,,,action recognition,fixture,,electronic health record,,\\n,ensemble learning,,,argumentation theory,supervision,,pervasive computing,,\\n,taguchi,,,relation,vegetative state,,cyber physical system,,\\n,mapping,,,gene expression,bankruptcy,,semantic web service,,\\n,risk analysis,,,cognitive modelling,complex adaptive system,,transhumanism,,\\n,rule base,,,concept algebra,blackboard model,,multidisciplinary,,\\n,mathematical modelling,,,causality,high performance computing,,engineering education,,\\n,permeability,,,artificial intelligence knowledge representation formalism method,fitness function,,npc,,\\n,indexing,,,protein,tool condition monitoring,,brain computer interface,,\\n,wavelet analysis,,,,free,,anticipation,,\\n,online learning,,,,corrosion,,scenario,,\\n,image,,,,heat transfer,,medical decision making,,\\n,classification algorithm,,,,missing data,,hydrology,,\\n,fault classification,,,,solving control method search,,blackboard system,,\\n,analysis algorithm,,,,global positioning,,chemical industry,,\\n,dimensionality reduction,,,,parallelism,,human resource management,,\\n,propositional logic,,,,statistical process control,,auditing,,\\n,inductive inference,,,,inference mechanism,,intelligent user interface,,\\n,mathematical programming,,,,distributed cognition,,ergonomics,,\\n,inductive logic programming,,,,co ordination,,geographical information system,,\\n,rule extraction,,,,uncertainty management,,requirement engineering,,\\n,supervised classification,,,,,,bridge,,\\n,probabilistic reasoning,,,,,,conflict,,\\n,mathematical modeling,,,,,,computer education,,\\n,subtractive clustering,,,,,,quality life,,\\n,paraconsistent logic,,,,,,service composition,,\\n,nuclear magnetic resonance,,,,,,intellectual capital,,\\n,experimentation,,,,,,intelligent knowledge system,,\\n,fuzzy theory,,,,,,,,\\n,induction,,,,,,,,\\n,machine learning algorithm,,,,,,,,\\n,morphometry,,,,,,,,\\n,uncertainty analysis,,,,,,,,\\n,algorithm discovery,,,,,,,,\\n,computational geometry,,,,,,,,\\n,neuron,,,,,,,,\\n,multilayer perceptrons,,,,,,,,\\n,complexity theory,,,,,,,,\\n,image retrieval,,,,,,,,\\n,statistical,,,,,,,,\\n,boolean satisfiability,,,,,,,,\\n,time series prediction,,,,,,,,\\n,data compression,,,,,,,,\\n,pattern analysis,,,,,,,,\\n,gait analysis,,,,,,,,\\n,rbf neural network,,,,,,,,\\n,induction machine,,,,,,,,\\n,fuzzy modelling,,,,,,,,\\n,qualitative modeling,,,,,,,,\\n,structure,,,,,,,,\\n,spiking neural network,,,,,,,,\\n,formal method,,,,,,,,\\n,feature,,,,,,,,\\n,gmdh,,,,,,,,\\n,compressive strength,,,,,,,,\\n,statistical learning,,,,,,,,\\n,statistical method,,,,,,,,\\n,k mean,,,,,,,,\\n,correlation,,,,,,,,\\n,state estimation,,,,,,,,\\n,lattice,,,,,,,,\\n,method data analysis,,,,,,,,\\n,differential evolution algorithm,,,,,,,,\\n,perceptron,,,,,,,,\\n,predictive model,,,,,,,,\\n,attribute reduction,,,,,,,,\\n,automatic classification,,,,,,,,\\n,chemometrics,,,,,,,,\\n,discrete event simulation,,,,,,,,\\n,incremental learning,,,,,,,,\\n,search method,,,,,,,,\\n,vibration analysis,,,,,,,,\\n,simulation modeling,,,,,,,,\\n,fuzzy expert,,,,,,,,\\n,synthesis,,,,,,,,\\n,adaptive neuro fuzzy,,,,,,,,\\n,arc consistency,,,,,,,,\\n,learning process,,,,,,,,\\n,quantum computation,,,,,,,,\\n,learning automaton,,,,,,,,\\n,edge detection,,,,,,,,\\n,probabilistic logic,,,,,,,,\\n,nondestructive testing,,,,,,,,\\n,neuro fuzzy network,,,,,,,,\\n,parsing,,,,,,,,\\n,standard,,,,,,,,\\n,deep neural network,,,,,,,,\\n\\n\\n,result,iterations,task,objective,learning_rate,num_leaves,max_depth,min_data_in_leaf,min_sum_hessian_in_leaf,lambda_l1,lambda_l2,scale_pos_weight,metric,verbose\\n0,0.761275880208408,105,train,binary,0.1,90,8,20,0.001,0.0,0.0,1.0,auc,-1\\n1,0.7614025133084497,130,train,binary,0.1,100,8,20,0.001,0.0,0.0,1.0,auc,-1\\n2,0.7623592755838995,112,train,binary,0.1,60,8,20,0.001,0.0,0.0,1.0,auc,-1\\n3,0.7624675525141633,111,train,binary,0.1,80,8,20,0.001,0.0,0.0,1.0,auc,-1\\n4,0.7625694189627654,100,train,binary,0.1,70,8,20,0.001,0.0,0.0,1.0,auc,-1\\n5,0.7635087873349395,129,train,binary,0.1,30,8,20,0.001,0.0,0.0,1.0,auc,-1\\n6,0.7635476708664565,249,train,binary,0.1,20,8,20,0.001,0.0,0.0,1.0,auc,-1\\n7,0.7635494593733227,142,train,binary,0.1,40,8,20,0.001,0.0,0.0,1.0,auc,-1\\n8,0.7635821389482573,122,train,binary,0.1,50,8,20,0.001,0.0,0.0,1.0,auc,-1\\n9,0.7645612829745945,479,train,binary,0.1,10,8,20,0.001,0.0,0.0,1.0,auc,-1\\n10,0.7643226657380087,422,train,binary,0.1,10,9,20,0.001,0.0,0.0,1.0,auc,-1\\n11,0.7645612829745945,479,train,binary,0.1,10,8,20,0.001,0.0,0.0,1.0,auc,-1\\n12,0.7645891434504518,446,train,binary,0.1,10,7,20,0.001,0.0,0.0,1.0,auc,-1\\n13,0.7649347486177176,392,train,binary,0.1,10,6,20,0.001,0.0,0.0,1.0,auc,-1\\n14,0.7657317869993587,505,train,binary,0.1,10,5,20,0.001,0.0,0.0,1.0,auc,-1\\n15,0.7664746793366304,517,train,binary,0.1,10,4,20,0.001,0.0,0.0,1.0,auc,-1\\n16,0.766880489383017,655,train,binary,0.1,10,3,20,0.001,0.0,0.0,1.0,auc,-1\\n17,0.7667065619443283,561,train,binary,0.1,10,3,50,0.001,0.0,0.0,1.0,auc,-1\\n18,0.7667873928122481,569,train,binary,0.1,10,3,60,0.001,0.0,0.0,1.0,auc,-1\\n19,0.7668522335119204,637,train,binary,0.1,10,3,10,0.001,0.0,0.0,1.0,auc,-1\\n20,0.766880489383017,655,train,binary,0.1,10,3,20,0.001,0.0,0.0,1.0,auc,-1\\n21,0.7668824507775898,578,train,binary,0.1,10,3,40,0.001,0.0,0.0,1.0,auc,-1\\n22,0.7670479826529386,657,train,binary,0.1,10,3,30,0.001,0.0,0.0,1.0,auc,-1\\n23,0.7670870997102206,684,train,binary,0.1,10,3,80,0.001,0.0,0.0,1.0,auc,-1\\n24,0.7671097113362666,634,train,binary,0.1,10,3,70,0.001,0.0,0.0,1.0,auc,-1\\n25,0.767095846694304,624,train,binary,0.1,10,3,70,0.001,0.1,0.0,1.0,auc,-1\\n26,0.7671097113362666,634,train,binary,0.1,10,3,70,0.001,0.0,0.0,1.0,auc,-1\\n27,0.7671535089467287,634,train,binary,0.1,10,3,70,0.001,0.2,0.0,1.0,auc,-1\\n28,0.7672238350074538,655,train,binary,0.1,10,3,70,0.001,0.3,0.0,1.0,auc,-1\\n29,0.7672430203273718,747,train,binary,0.1,10,3,70,0.001,0.5,0.0,1.0,auc,-1\\n30,0.7673725989743476,699,train,binary,0.1,10,3,70,0.001,0.6,0.0,1.0,auc,-1\\n31,0.7674118948580274,732,train,binary,0.1,10,3,70,0.001,0.4,0.0,1.0,auc,-1\\n32,0.767680730149038,815,train,binary,0.1,10,3,70,0.001,0.7,0.0,1.0,auc,-1\\n33,0.7673339623565607,626,train,binary,0.1,10,3,70,0.001,0.7,0.3,1.0,auc,-1\\n34,0.7673989483717181,697,train,binary,0.1,10,3,70,0.001,0.7,0.4,1.0,auc,-1\\n35,0.767412911918979,755,train,binary,0.1,10,3,70,0.001,0.7,0.6,1.0,auc,-1\\n36,0.7674351693702024,655,train,binary,0.1,10,3,70,0.001,0.7,0.5,1.0,auc,-1\\n37,0.767474496539909,709,train,binary,0.1,10,3,70,0.001,0.7,0.7,1.0,auc,-1\\n38,0.7675915993013425,676,train,binary,0.1,10,3,70,0.001,0.7,0.1,1.0,auc,-1\\n39,0.767680730149038,815,train,binary,0.1,10,3,70,0.001,0.7,0.0,1.0,auc,-1\\n40,0.7677202212241635,669,train,binary,0.1,10,3,70,0.001,0.7,0.2,1.0,auc,-1\\n41,0.7657129153403117,618,train,binary,0.1,10,3,70,0.001,0.7,0.2,11.5,auc,-1\\n42,0.7677202212241635,669,train,binary,0.1,10,3,70,0.001,0.7,0.2,1.0,auc,-1\\n43,0.7675815909072748,3114,train,binary,0.02,10,3,70,0.001,0.7,0.2,1.0,auc,-1\\n44,0.7676714764069927,861,train,binary,0.08,10,3,70,0.001,0.7,0.2,1.0,auc,-1\\n45,0.7676834520584859,1369,train,binary,0.05,10,3,70,0.001,0.7,0.2,1.0,auc,-1\\n46,0.7677202212241635,669,train,binary,0.1,10,3,70,0.001,0.7,0.2,1.0,auc,-1\\n47,0.7677317932028811,6870,train,binary,0.01,10,3,70,0.001,0.7,0.2,1.0,auc,-1\\n48,0.7678056654509173,2468,train,binary,0.03,10,3,70,0.001,0.7,0.2,1.0,auc,-1\\n\\n\\n,bbk_dataset_y,doi,journal,title,dataset\\n0,ZISTA,10.2139/ssrn.2756191 ,BBk Discussion Paper,How does P2P lending fit into the consumer credit market?,dataset-001\\n2,AUSTA,10.1016/j.jimonfin.2018.08.012 ,BBk Discussion Paper,International monetary policy spillovers through the bank funding channel,dataset-002\\n3,BISTA,10.1016/j.jimonfin.2018.08.012 ,BBk Discussion Paper,International monetary policy spillovers through the bank funding channel,dataset-003\\n4,SITS,,BBk Discussion Paper,Cheap Talk? Financial Sanctions and Non-Financial Activity,dataset-004\\n5,USTAN,,BBk Discussion Paper,Cheap Talk? Financial Sanctions and Non-Financial Activity,dataset-005\\n7,BISTA,,BBk Discussion Paper,\\\"Asset Purchases, Bank Lending, and Security Holdings: The Yield-Induced Portfolio Rebalancing Channel\\\",dataset-006\\n8,CSDB,,BBk Discussion Paper,\\\"Asset Purchases, Bank Lending, and Security Holdings: The Yield-Induced Portfolio Rebalancing Channel\\\",dataset-007\\n9,SHS-BASE,,BBk Discussion Paper,\\\"Asset Purchases, Bank Lending, and Security Holdings: The Yield-Induced Portfolio Rebalancing Channel\\\",dataset-008\\n10,GUV,,BBk Discussion Paper,\\\"Asset Purchases, Bank Lending, and Security Holdings: The Yield-Induced Portfolio Rebalancing Channel\\\",dataset-009\\n11,ZISTA,,BBk Discussion Paper,\\\"Asset Purchases, Bank Lending, and Security Holdings: The Yield-Induced Portfolio Rebalancing Channel\\\",dataset-010\\n14,TARGET2,,BBk Discussion Paper,Bargaining power and outside options in the interbank lending market,dataset-011\\n15,BISTA,,BBk Discussion Paper,A Comprehensive View on Risk Reporting: Evidence From Supervisory Data,dataset-012\\n16,MIMIK,,BBk Discussion Paper,A Comprehensive View on Risk Reporting: Evidence From Supervisory Data,dataset-013\\n17,SHS-BASE,,BBk Discussion Paper,A Comprehensive View on Risk Reporting: Evidence From Supervisory Data,dataset-014\\n18,GUV,,BBk Discussion Paper,A Comprehensive View on Risk Reporting: Evidence From Supervisory Data,dataset-015\\n19,BISTA,,BBk Discussion Paper,The Financial Market Effects of the ECB's Asset Purchase Programs,dataset-016\\n20,GUV,,BBk Discussion Paper,Will German banks earn their cost of capital?,dataset-017\\n21,ZISTA,,BBk Discussion Paper,Will German banks earn their cost of capital?,dataset-018\\n23,PHF,,BBk Discussion Paper,Love and money with inheritance - marital sorting by labor income and inherited wealth in the modern partnership,dataset-019\\n24,BISTA,,BBk Discussion Paper,Interbank Intermediation,dataset-020\\n25,MIMIK,,BBk Discussion Paper,Interbank Intermediation,dataset-021\\n26,BAKIS,,BBk Discussion Paper,Why do banks bear interest rate risk?,dataset-022\\n27,BISTA,,BBk Discussion Paper,Why do banks bear interest rate risk?,dataset-023\\n28,ZISTA,,BBk Discussion Paper,Why do banks bear interest rate risk?,dataset-024\\n29,ZISTA,,BBk Discussion Paper,A new perspective on the interest rate pass-through to non-maturing accounts,dataset-025\\n30,MIMIK,,BBk Discussion Paper,Vulnerable asset management? The case of mutual funds,dataset-026\\n31,SHS-BASE,,BBk Discussion Paper,Vulnerable asset management? The case of mutual funds,dataset-027\\n32,IFS-BASE,,BBk Discussion Paper,Vulnerable asset management? The case of mutual funds,dataset-028\\n33,AUSTA,,BBk Discussion Paper,International Banking and Cross-Border Effects of Regulation: Lessons from Germany,dataset-029\\n34,BISTA,,BBk Discussion Paper,International Banking and Cross-Border Effects of Regulation: Lessons from Germany,dataset-030\\n36,MIDI,,BBk Discussion Paper,The Effect of Investing Abroad on Investment at Home,dataset-031\\n37,USTAN,,BBk Discussion Paper,The Effect of Investing Abroad on Investment at Home,dataset-032\\n38,BAKIS,,BBk Discussion Paper,Banks’ Equity Stakes and Lending: Evidence from a Tax Reform,dataset-033\\n39,BISTA,,BBk Discussion Paper,Banks’ Equity Stakes and Lending: Evidence from a Tax Reform,dataset-034\\n40,MIMIK,,BBk Discussion Paper,Banks’ Equity Stakes and Lending: Evidence from a Tax Reform,dataset-035\\n41,USTAN,,BBk Discussion Paper,Banks’ Equity Stakes and Lending: Evidence from a Tax Reform,dataset-036\\n42,BAKIS,,BBk Discussion Paper,M-PRESS-CreditRisk: A holistic micro- and macro-prudential approach to capital requirements,dataset-037\\n43,MIMIK,,BBk Discussion Paper,M-PRESS-CreditRisk: A holistic micro- and macro-prudential approach to capital requirements,dataset-038\\n44,BAKIS,,BBk Discussion Paper,Cross-border transmission of emergency liquidity,dataset-039\\n45,BISTA,,BBk Discussion Paper,Cross-border transmission of emergency liquidity,dataset-040\\n46,ZISTA,,BBk Discussion Paper,Cross-border transmission of emergency liquidity,dataset-041\\n48,SHS-BASE,,BBk Discussion Paper,Cyclical investment behavior across financial institutions,dataset-042\\n49,MIMIK,,BBk Discussion Paper,Fundamentals matter: Idiosyncratic shocks and interbank relations,dataset-043\\n50,BISTA,,BBk Discussion Paper,Fundamentals matter: Idiosyncratic shocks and interbank relations,dataset-044\\n51,BAKIS,,BBk Discussion Paper,Fundamentals matter: Idiosyncratic shocks and interbank relations,dataset-045\\n52,SHS-BASE,,BBk Discussion Paper,Arbitraging the Basel securitization framework: Evidence from German ABS investment,dataset-046\\n53,BAKIS,,BBk Discussion Paper,The winner's curse: Evidence on the danger of aggressive credit growth in banking,dataset-047\\n54,MIMIK,,BBk Discussion Paper,Cutting the credit line: Evidence from Germany,dataset-048\\n55,USTAN,,BBk Discussion Paper,Cutting the credit line: Evidence from Germany,dataset-049\\n56,BAKIS,,BBk Discussion Paper,Cutting the credit line: Evidence from Germany,dataset-050\\n57,SHS-BASE,,BBk Discussion Paper,Who trades on momentum?,dataset-051\\n58,BAKIS,,BBk Discussion Paper,Loan loss provisioning and procyclicality: Evidence from an expected loss model,dataset-052\\n59,MIMIK,,BBk Discussion Paper,Pro-cyclical capital regulation and lending,dataset-053\\n60,BAKIS,,BBk Discussion Paper,Pro-cyclical capital regulation and lending,dataset-054\\n61,MIMIK,,BBk Discussion Paper,A network analysis of the evolution of the German interbank market,dataset-055\\n62,BISTA,,BBk Discussion Paper,\\\"Interbank lending and distress: Observables, unobservables, and network structure\\\",dataset-056\\n63,SHS-BASE,,BBk Discussion Paper,\\\"Wealth shocks, credit-supply shocks, and asset allocation: Evidence from household and firm portfolios\\\",dataset-057\\n64,BAKIS,,BBk Discussion Paper,\\\"Market timing, maturity mismatch, and risk management: Evidence from the banking industry\\\",dataset-058\\n65,AUSTA,,BBk Discussion Paper,Changing forces of gravity: How the crisis affected international banking,dataset-059\\n66,IFS-BASE,,BBk Discussion Paper,Cash holdings of German open-end equity funds: Does ownership matter?,dataset-060\\n67,SHS-BASE,,BBk Discussion Paper,Is proprietary trading detrimental to retail investors?,dataset-061\\n69,MIDI,,BBk Discussion Paper,Testing the O-ring theory for FDI,dataset-062\\n70,USTAN,,BBk Discussion Paper,Evaluation of minimum capital requirements for bank loans to SMEs,dataset-063\\n71,BAKIS,,BBk Discussion Paper,Does non-interest income make banks more risky? Retail- versus investment-oriented banks,dataset-064\\n72,SITS,,BBk Discussion Paper,The determinants of service imports: The role of cost pressure and financial constraints,dataset-065\\n73,MIDI,,BBk Discussion Paper,The determinants of service imports: The role of cost pressure and financial constraints,dataset-066\\n74,BISTA,,BBk Discussion Paper,Tax incentives and capital structure choice: Evidence from Germany,dataset-067\\n75,PHF,,BBk Discussion Paper,The PHF: A comprehensive panel survey on household finances and wealth in Germany,dataset-068\\n76,BLS,,BBk Discussion Paper,Bank-related loan supply factors during the crisis: An analysis based on the German bank lending survey,dataset-069\\n77,MIDI,,BBk Discussion Paper,The use of tax havens in exemption regimes,dataset-070\\n78,AUSTA,,BBk Discussion Paper,\\\"Crises, rescues, and policy transmission through international banks\\\",dataset-071\\n79,USTAN,,BBk Discussion Paper,Improvements in rating models for the German corporate sector,dataset-072\\n80,SHS-BASE,,BBk Discussion Paper,\\\"Portfolio holdings in the euro area - home bias and the role of international, domestic and sector-specific factors\\\",dataset-073\\n81,SHS-BASE,,BBk Discussion Paper,Are there disadvantaged clienteles in mutual funds?,dataset-074\\n82,VJKRE,,BBk Discussion Paper,Do specialization benefits outweigh concentration risks in credit portfolios of German banks?,dataset-075\\n83,AUSTA,,BBk Discussion Paper,Do banks benefit from internationalization? Revisiting the market power-risk nexus,dataset-076\\n84,AUSTA,,BBk Discussion Paper,What drives portfolio investments of German banks in emerging capital markets?,dataset-077\\n85,MIDI,,BBk Discussion Paper,Exports versus FDI revisited: does finance matter?,dataset-078\\n86,MIDI,,\\\"CESifo Working Paper Series No. 5500, available at SSRN Electronic Journal: https://ssrn.com/abstract=2669368\\\",\\\"Tax vs. Regulation Policy and the Location of ,Financial Sector FDI*\\\",dataset-079\\n87,MIDI,,\\\"CESifo DICE Report 4/2015, pp. 41-47\\\",Environmental Regulation and Foreign Direct Investment: The Role of the Mode of Entry,dataset-080\\n88,MIDI,,available at SSRN Electronic Journal : https://ssrn.com/abstract=2868283,European climate policy and industrial relocation: Evidence from German multinational firms,dataset-081\\n89,MIDI,,ZEW Discussion Paper (No. 18-004),Tax Influence on Financial Structures of M&As,dataset-082\\n90,MIDI,,Working Paper,Corporation Taxes and the Debt Policy of Multinational Firms – Evidence from German Multinationals,dataset-083\\n91,MIDI,,Working Paper,Tax Status and Tax Response Heterogeneity of Multinationals’ Dept Finance,dataset-084\\n92,MIDI,,Working Paper,\\\"Bilateral Internal Debt Financing, Tax Planning, and the Effectiveness of Anti-Tax Avoidance Rules\\\",dataset-085\\n93,MIDI,,CESifo Working Paper No. 2517,How Low Business Tax Rates Attract Multinational Headquarters: Municipality-Level Evidence from Germany,dataset-086\\n94,MIDI,,Working Paper,Intercompany Loans and Profit Shifting – Evidence from Company-Level Data,dataset-087\\n95,MIDI,,Working Paper,Why is the Response of Multinationals’ Capital Structure Choice to Tax Incentives That Low? Some Possible Explanations,dataset-088\\n96,MIDI,,Working Paper,The Taxation of Passive Foreign Investment: Lessons from German Experience,dataset-089\\n97,MIDI,,Working Paper,Network and Border Effects: Where Do Foreign Multinationals Locate in Germany?,dataset-090\\n98,MIDI,,Working Paper,How Can Firms choose their Leverage? – Tax Planning for Implementing Tax Induced Debt Finance,dataset-091\\n99,MIDI,,Working Paper,Thin-capitalization rules and company responses: Experience from German legislation,dataset-092\\n100,MIDI,,Working Paper,What determines the use of holding companies and ownership chains?,dataset-093\\n101,MIDI,,Working Paper,\\\"Offshoring and the Onshore Composition of Occupations, Tasks and Skills\\\",dataset-094\\n102,MIDI,,Working Paper,Who Goes East? The Impact of Enlargement on the Patterns of German FDI,dataset-095\\n103,MIDI,,Working Paper,Transfer Pricing of Intrafirm Sales as a Profit Shifting Channel - Evidence from German Firm Data,dataset-096\\n104,MIDI,,Working Paper, Taxes and the financial structure of German outbound FDI,dataset-097\\n105,PHF,,DIW Vierteljahreshefte zur Wirtschaftsforschung,Zur Finanziellen Bildung der Privaten Haushalte in Deutschland: Ergebnisse der Studie “Private Haushalte und ihre Finanzen (PHF)“,dataset-098\\n106,MIMIK,,Journal of Banking and Finance,An analysis of the consistency of banks’ internal ratings,dataset-099\\n107,MIDI,,Schmollers Jahrbuch,Combined Firm Data for Germany - Possibilities and Consequences of Merging Firm Data from Different Data Producers,dataset-100\\n108,USTAN,,Schmollers Jahrbuch,Combined Firm Data for Germany - Possibilities and Consequences of Merging Firm Data from Different Data Producers,dataset-101\\n109,MIDI,,Schmollers Jahrbuch,KombiFiD: A First Glimpse of the Bundesbank Data,dataset-102\\n110,USTAN,,Schmollers Jahrbuch,KombiFiD: A First Glimpse of the Bundesbank Data,dataset-103\\n111,MIMIK,,World Economy,Extra Credit: Bank Finance and Firm Export Status in Germany,dataset-104\\n112,USTAN,,World Economy,Extra Credit: Bank Finance and Firm Export Status in Germany,dataset-105\\n113,BISTA,,Economic Modelling,Why does bank credit not drive money in Germany (any more)?,dataset-106\\n114,BISTA,,Credit and Capital Markets,The payout behavior of German savings banks,dataset-107\\n115,AUSTA,,The Journal of Financial Perspectives,German Banks in Financial Centers: How Risky is Their Business?,dataset-108\\n116,BISTA,,The Journal of Financial Perspectives,German Banks in Financial Centers: How Risky is Their Business?,dataset-109\\n117,AUSTA,,IMF Economic Review,What Determines the Composition of International Bank Flows?,dataset-110\\n118,BISTA,,IMF Economic Review,What Determines the Composition of International Bank Flows?,dataset-111\\n119,AUSTA,,IMF Economic Review,International Banking and Liquidity Risk Transmission: Evidence from Germany,dataset-112\\n120,BISTA,,IMF Economic Review,International Banking and Liquidity Risk Transmission: Evidence from Germany,dataset-113\\n121,PHF,,Journal of the European Economic Association,Price Level Changes and the Redistribution of Nominal Wealth Across the Euro Area,dataset-114\\n122,SITS,,Economic Policy (formerly: Economic Policy: A European Forum),You’re banned! The effect of sanctions on German cross-border financial flows,dataset-115\\n123,BAKIS,,Journal of Banking and Finance,Do all new brooms sweep clean? Evidence for outside bank appointments,dataset-116\\n124,BISTA,,GERMAN Economic Review,Banks' Interest Rate Risk and Search for Yield: A Theoretical Rationale and Some Empirical Evidence,dataset-117\\n125,BAKIS,,GERMAN Economic Review,Banks' Interest Rate Risk and Search for Yield: A Theoretical Rationale and Some Empirical Evidence,dataset-118\\n126,GUV,,GERMAN Economic Review,Banks' Interest Rate Risk and Search for Yield: A Theoretical Rationale and Some Empirical Evidence,dataset-119\\n127,PaymentSurvey,,Journal of Official Statistics,The influence of an up-front experiment on respondents' recording behaviour in payment diaries: Evidence from Germany,dataset-120\\n128,BISTA,,Journal of Banking and Finance,Cyclicality of SME lending and government involvement in banks,dataset-121\\n129,GUV,,Journal of Banking and Finance,Cyclicality of SME lending and government involvement in banks,dataset-122\\n130,MIMIK,,Journal of Financial Stability,The credit quality channel: Modeling contagion in the interbank market,dataset-123\\n131,PHF,,Journal of Income Distribution,Bracket creep revisited - with and without r>g: Evidence from Germany,dataset-124\\n132,BAKIS,,Review of Finance (formerly: European Finance Review),\\\"Do exposures to sagging real estate, subprime or conduits abroad lead to contraction and flight to quality in bank lending at home?\\\",dataset-125\\n133,BISTA,,Review of Finance (formerly: European Finance Review),\\\"Do exposures to sagging real estate, subprime or conduits abroad lead to contraction and flight to quality in bank lending at home?\\\",dataset-126\\n134,MIMIK,,Review of Finance (formerly: European Finance Review),\\\"Do exposures to sagging real estate, subprime or conduits abroad lead to contraction and flight to quality in bank lending at home?\\\",dataset-127\\n135,BISTA,,Journal of Financial Economics,Securities trading by banks and credit supply: Micro-evidence,dataset-128\\n136,BAKIS,,Journal of Financial Economics,Securities trading by banks and credit supply: Micro-evidence,dataset-129\\n137,BISTA,,Journal of Financial Economics,Securities trading by banks and credit supply: Micro-evidence,dataset-130\\n138,MIMIK,,Journal of Financial Economics,Securities trading by banks and credit supply: Micro-evidence,dataset-131\\n139,SHS-BASE,,Journal of Financial Economics,Securities trading by banks and credit supply: Micro-evidence,dataset-132\\n140,MIMIK,,Journal of Financial Economics,Securities trading by banks and credit supply: Micro-evidence,dataset-133\\n141,BAKIS,,International Journal of Central Banking,Centrality-based capital allocations,dataset-134\\n142,BISTA,,International Journal of Central Banking,Centrality-based capital allocations,dataset-135\\n143,VJKRE,,International Journal of Central Banking,Centrality-based capital allocations,dataset-136\\n144,MIMIK,,International Journal of Central Banking,Centrality-based capital allocations,dataset-137\\n145,BISTA,,Journal of Banking and Finance,Taxing banks: An evaluation of the German bank levy,dataset-138\\n146,GUV,,Journal of Banking and Finance,Taxing banks: An evaluation of the German bank levy,dataset-139\\n147,ZISTA,,Journal of Banking and Finance,Taxing banks: An evaluation of the German bank levy,dataset-140\\n148,BISTA,,Financial Markets and Portfolio Management (formerly: Finanzmarkt und Portfolio Management),Quantifying the components of the banks' net interest margin,dataset-141\\n149,GUV,,Financial Markets and Portfolio Management (formerly: Finanzmarkt und Portfolio Management),Quantifying the components of the banks' net interest margin,dataset-142\\n150,BAKIS,,Financial Markets and Portfolio Management (formerly: Finanzmarkt und Portfolio Management),Quantifying the components of the banks' net interest margin,dataset-143\\n151,PaymentSurvey,,International Journal of Central Banking,Consumer cash usage: A cross-country comparison with payment diary survey data,dataset-144\\n152,BAKIS,,Journal of Banking and Finance,Earnings baths by bank CEOs during turnovers,dataset-145\\n153,MIMIK,,Journal of Banking and Finance,The role of interbank relationships and liquidity needs,dataset-146\\n154,BISTA,,Journal of Banking and Finance,The role of interbank relationships and liquidity needs,dataset-147\\n155,BISTA,,Review of Finance (formerly: European Finance Review),Bank risk taking and competition: Evidence from regional banking markets,dataset-148\\n156,BISTA,,Journal of Financial Stability,Banks and sovereign risk: A granular view,dataset-149\\n157,BAKIS,,Journal of Financial Stability,Banks and sovereign risk: A granular view,dataset-150\\n158,SHS-BASE,,Journal of Financial Stability,Banks and sovereign risk: A granular view,dataset-151\\n159,GUV,,Journal of Financial Stability,Banks and sovereign risk: A granular view,dataset-152\\n160,SHS-BASE,,Journal of Banking and Finance,Is local bias a cross-border phenomenon? Evidence from individual investors' international asset allocation,dataset-153\\n161,BISTA,,BBk Discussion Paper,Repo funding and internal capital markets in the financial crisis,dataset-154\\n162,AUSTA,,International Review of Economics and Finance,Diversification and determinants of international credit portfolios: Evidence from German banks,dataset-155\\n163,BISTA,,Journal of Banking and Finance,Determinants of bank interest margins: Impact of maturity transformation,dataset-156\\n164,SHS-BASE,,European Journal of Finance,Home-field advantage or a matter of ambiguity aversion? Local bias among German individual investors,dataset-157\\n165,PaymentSurvey,,\\\"Journal of Money, Credit and Banking\\\",\\\"Using cash to monitor liquidity: Implications for payments, currency demand and withdrawal behavior\\\",dataset-158\\n166,BAKIS,,Journal of Financial Stability,Contagion in the interbank market and its determinants,dataset-159\\n167,BISTA,,Financial Markets and Portfolio Management (formerly: Finanzmarkt und Portfolio Management),Bank management of the net interest margin: new measures,dataset-160\\n168,BAKIS,,Financial Markets and Portfolio Management (formerly: Finanzmarkt und Portfolio Management),Bank management of the net interest margin: new measures,dataset-161\\n169,GUV,,Financial Markets and Portfolio Management (formerly: Finanzmarkt und Portfolio Management),Bank management of the net interest margin: new measures,dataset-162\\n170,BAKIS,,Journal of Banking and Finance,Are banks using hidden reserves to beat earnings benchmarks? Evidence from Germany,dataset-163\\n171,BISTA,,Journal of Banking and Finance,\\\"Banks' exposure to interest rate risk, their earnings from term transformation, and the dynamics of the term structure\\\",dataset-164\\n172,BAKIS,,Journal of Banking and Finance,\\\"Banks' exposure to interest rate risk, their earnings from term transformation, and the dynamics of the term structure\\\",dataset-165\\n173,IFS-BASE,,European Journal of Finance,Purchase and redemption decisions of mutual fund investors and the role of fund families,dataset-166\\n174,PaymentSurvey,,Empirical Economics,Choosing and using payment instruments: evidence from German microdata,dataset-167\\n175,MIDI,,BBk Discussion Paper,Financial constraints and the margins of FDI,dataset-168\\n176,MIDI,,BBk Discussion Paper,Export-Supporting FDI,dataset-169\\n177,MIDI,,BBk Discussion Paper,Does lowering dividend tax rates increase dividends repatriated?: evidence of intra-firm cross-border dividend repatriation policies by German Multinational Enterprises,dataset-170\\n178,SITS,,BBk Discussion Paper,Does lowering dividend tax rates increase dividends repatriated?: evidence of intra-firm cross-border dividend repatriation policies by German Multinational Enterprises,dataset-171\\n179,USTAN,,BBk Discussion Paper,The cross-section of firms over the business cycle: new facts and a DSGE exploration,dataset-172\\n180,BISTA,,BBk Discussion Paper,What macroeconomic shocks affect the German banking system? Analysis in an integrated micro-macro model,dataset-173\\n181,SRP,,BBk Discussion Paper,What macroeconomic shocks affect the German banking system? Analysis in an integrated micro-macro model,dataset-174\\n182,USTAN,,BBk Discussion Paper,Firm-specific productivity risk over the business cycle: facts and aggregate implications,dataset-175\\n183,BISTA,,European Financial Management,The dependency of the banks' assets and liabilities: evidence from Germany,dataset-176\\n184,BAKIS,,European Financial Management,The dependency of the banks' assets and liabilities: evidence from Germany,dataset-177\\n185,BISTA,,European Financial Management,The dependency of the banks' assets and liabilities: evidence from Germany,dataset-178\\n186,GUV,,European Financial Management,The dependency of the banks' assets and liabilities: evidence from Germany,dataset-179\\n187,AUSTA,,BBk Discussion Paper,\\\"Margins of international banking: is there a productivity pecking order in banking, too?\\\",dataset-180\\n188,BISTA,,BBk Discussion Paper,\\\"Margins of international banking: is there a productivity pecking order in banking, too?\\\",dataset-181\\n189,GUV,,BBk Discussion Paper,\\\"Margins of international banking: is there a productivity pecking order in banking, too?\\\",dataset-182\\n190,BAKIS,,Journal of Business Finance and Accounting,\\\"Visible Reserves in Banks – Determinants of Initial Creation, Usage and Contribution to Bank Stability\\\",dataset-183\\n191,BAKIS,,BBk Discussion Paper,Determinants for using visible reserves in German banks: an empirical study,dataset-184\\n192,IFS-BASE,,BBk Discussion Paper,The dark and the bright side of liquidity risks: evidence from open-end real estate funds in Germany,dataset-185\\n193,BAKIS,,Schmalenbach Business Review,Income Structure and Bank Business Models: Evidence on Performance and Stability from the German Banking Industry,dataset-186\\n194,BISTA,,BBk Discussion Paper,Why do savings banks transform sight deposits into illiquid assets less intensively than the regulation allows?,dataset-187\\n195,SRP,,BBk Discussion Paper,Shocks at large banks and banking sector distress: the Banking Granular Residual,dataset-188\\n196,BISTA,,BBk Discussion Paper,The effects of privatization and consolidation on bank productivity: comparative evidence from Italy and Germany,dataset-189\\n197,GUV,,BBk Discussion Paper,The effects of privatization and consolidation on bank productivity: comparative evidence from Italy and Germany,dataset-190\\n198,MIDI,,BBk Discussion Paper,Who is afraid of political risk? Multinational firms and their choice of capital structure,dataset-191\\n199,BISTA,,BBk Discussion Paper,The price of liquidity: bank characteristics and market conditions,dataset-192\\n200,IFS-BASE,,BBk Discussion Paper,Sturm und Drang in money market funds: when money market funds cease to be narrow,dataset-193\\n201,BISTA. GUV,,BBk Discussion Paper,Real estate markets and bank distress,dataset-194\\n202,MIMIK,,BBk Discussion Paper,Real estate markets and bank distress,dataset-195\\n203,MIMIK,,BBk Discussion Paper,Stress testing of real credit portfolios,dataset-196\\n204,BISTA,,BBk Discussion Paper,The implications of latent technology regimes for competition and efficiency in banking,dataset-197\\n205,MIDI,,BBk Discussion Paper,Foreign (in)direct investment and corporate taxation,dataset-198\\n206,USTAN,,BBk Discussion Paper,Great moderation at the firm level? Unconditional versus conditional output volatility,dataset-199\\n207,BISTA,,International Journal of Banking Account and Finance,Which interest rate scenario is the worst one for a bank? Evidence from a tracking bank approach for German savings and cooperative banks,dataset-200\\n208,BISTA,,BBk Discussion Paper,The success of bank mergers revisited: an assessment based on a matching strategy,dataset-201\\n209,GUV,,BBk Discussion Paper,The success of bank mergers revisited: an assessment based on a matching strategy,dataset-202\\n210,ZentK,,BBk Discussion Paper,The success of bank mergers revisited: an assessment based on a matching strategy,dataset-203\\n211,BISTA,,Journal of Financial Stability,Monetary policy and financial (in)stability: An integrated micro–macro approach,dataset-204\\n212,GUV,,Journal of Financial Stability,Monetary policy and financial (in)stability: An integrated micro–macro approach,dataset-205\\n213,ZentK,,Journal of Financial Stability,Monetary policy and financial (in)stability: An integrated micro–macro approach,dataset-206\\n214,MIDI,,BBk Discussion Paper,The impact of thin-capitalization rules on multinationals' financing and investment decisions,dataset-207\\n215,BISTA,,BBk Discussion Paper,Analyzing the interest rate risk of banks using time series of accounting-based data: evidence from Germany,dataset-208\\n216,MIDI,,BBk Discussion Paper,Volatile multinationals? Evidence from the labor demand of German firms,dataset-209\\n217,USTAN,,BBk Discussion Paper,\\\"Corporate marginal tax rate, tax loss carryforwards and investment functions: empirical analysis using a large German panel data set\\\",dataset-210\\n218,USTAN,,BBk Discussion Paper,Creditor concentration: an empirical investigation,dataset-211\\n219,BAKIS,,BBk Discussion Paper,Creditor concentration: an empirical investigation,dataset-212\\n220,MIMIK,,BBk Discussion Paper,Creditor concentration: an empirical investigation,dataset-213\\n221,USTAN,,BBk Discussion Paper,Relationship lending: empirical evidence for Germany,dataset-214\\n222,BAKIS,,BBk Discussion Paper,Relationship lending: empirical evidence for Germany,dataset-215\\n223,MIMIK,,BBk Discussion Paper,Relationship lending: empirical evidence for Germany,dataset-216\\n224,USTAN,,BBk Discussion Paper,Banking consolidation and small businessfinance: empirical evidence for Germany,dataset-217\\n225,BAKIS,,BBk Discussion Paper,Banking consolidation and small businessfinance: empirical evidence for Germany,dataset-218\\n226,MIMIK,,BBk Discussion Paper,Banking consolidation and small businessfinance: empirical evidence for Germany,dataset-219\\n227,BAKIS,,Journal of Financial Intermediation,How do banks adjust their capital ratios? Evidence from Germany,dataset-220\\n228,BAKIS,,BBk Discussion Paper,Diversification and the banks' risk-return-characteristics: evidence from loan portfolios of German banks,dataset-221\\n229,BISTA,,Journal of Financial Stability,Slippery slopes of stress: ordered failure events in German banking,dataset-222\\n230,GUV,,Journal of Financial Stability,Slippery slopes of stress: ordered failure events in German banking,dataset-223\\n231,ZentK,,Journal of Financial Stability,Slippery slopes of stress: ordered failure events in German banking,dataset-224\\n232,BISTA,,BBk Discussion Paper,\\\"Efficient, profitable and safe banking: an oxymoron? Evidence from a panel VAR approach\\\",dataset-225\\n233,GUV,,BBk Discussion Paper,\\\"Efficient, profitable and safe banking: an oxymoron? Evidence from a panel VAR approach\\\",dataset-226\\n234,MIMIK,,BBk Discussion Paper,Granularity adjustment for Basel II,dataset-227\\n235,BISTA,,BBk Discussion Paper,Industries and the bank lending effects of bank credit demand and monetary policy in Germany,dataset-228\\n236,MIMIK,,BBk Discussion Paper,Industries and the bank lending effects of bank credit demand and monetary policy in Germany,dataset-229\\n237,USTAN,,BBk Discussion Paper,Does trade openness increase firm-level volatility?,dataset-230\\n238,USTAN,,BBk Discussion Paper,The within-distribution business cycle dynamics of German firms,dataset-231\\n239,MIDI,,BBk Discussion Paper,Margins of multinational labor substitution,dataset-232\\n240,USTAN,,BBk Discussion Paper,Margins of multinational labor substitution,dataset-233\\n241,MIDI,,BBk Discussion Paper,How would formula apportionment in the EU affect the distribution and the size of the corporate tax base? An analysis based on German multinationals,dataset-234\\n242,MIDI,,BBk Discussion Paper,Internalization and internationalization under copeting real options,dataset-235\\n243,MIDI,,BBk Discussion Paper,Foreign direct investment in the enlarged EU: do taxes matter and to what extent?,dataset-236\\n244,BISTA,,BBk Discussion Paper,The cost efficiency of German banks: a comparison of SFA and DEA,dataset-237\\n245,GUV,,BBk Discussion Paper,The cost efficiency of German banks: a comparison of SFA and DEA,dataset-238\\n246,MIMIK,,BBk Discussion Paper,Sector concentration in loan portfolios and economic capital,dataset-239\\n247,BISTA,,BBk Discussion Paper,The stability of efficiency rankings when risk-preferences and objectives are different,dataset-240\\n248,GUV,,BBk Discussion Paper,The stability of efficiency rankings when risk-preferences and objectives are different,dataset-241\\n249,BAKIS,,BBk Discussion Paper,\\\"Banks' regulatory buffers, liquidity networks and monetary policy transmission\\\",dataset-242\\n250,BAKIS,,BBk Discussion Paper,Does diversification improve the performance of German banks? Evidence from individual bank loan portfolios,dataset-243\\n251,MIMIK,,BBk Discussion Paper,Does diversification improve the performance of German banks? Evidence from individual bank loan portfolios,dataset-244\\n252,BAKIS,,BBk Discussion Paper,Heterogeneity in lending and sectoral growth: evidence from German bank-level data,dataset-245\\n253,MIMIK,,BBk Discussion Paper,Heterogeneity in lending and sectoral growth: evidence from German bank-level data,dataset-246\\n254,BISTA,,BBk Discussion Paper,Heterogeneity in lending and sectoral growth: evidence from German bank-level data,dataset-247\\n255,MIDI,,BBk Discussion Paper,Exports versus FDI in German manufacturing: firm performance and participation in international markets,dataset-248\\n256,USTAN,,BBk Discussion Paper,Going multinational: What are the effects on home market performance?,dataset-249\\n257,MIDI,,BBk Discussion Paper,Going multinational: What are the effects on home market performance?,dataset-250\\n258,MIMIK,,BBk Discussion Paper,Finance and growth in a bank-based economy: is it quantity or quality that matters?,dataset-251\\n259,MIDI,,BBk Discussion Paper,Trade balances of the central and east European EU member states and the role of foreign direct investment,dataset-252\\n260,USTAN,,BBk Discussion Paper,The cross-sectional dynamics of German business cycles: a bird's eye view,dataset-253\\n261,BISTA,,BBk Discussion Paper,Inefficient or just different? Effects of heterogeneity on bank efficiency scores,dataset-254\\n262,GUV,,BBk Discussion Paper,Inefficient or just different? Effects of heterogeneity on bank efficiency scores,dataset-255\\n263,USTAN,,BBk Discussion Paper,Time series properties of a rating system based on financial ratios,dataset-256\\n264,BISTA,,BBk Discussion Paper,Evaluating the German bank merger wave,dataset-257\\n265,GUV,,BBk Discussion Paper,Evaluating the German bank merger wave,dataset-258\\n266,ZentK,,BBk Discussion Paper,Evaluating the German bank merger wave,dataset-259\\n267,BISTA,,BBk Discussion Paper,The eurosystem money market auctions: a banking perspective,dataset-260\\n268,BISTA,,BBk Discussion Paper,Accounting for distress in bank mergers,dataset-261\\n269,GUV,,BBk Discussion Paper,Accounting for distress in bank mergers,dataset-262\\n270,ZentK,,BBk Discussion Paper,Accounting for distress in bank mergers,dataset-263\\n271,MIDI,,BBk Discussion Paper,Business cycles and FDI: evidence from German sectoral data,dataset-264\\n272,MIMIK,,BBk Discussion Paper,German bank lending to industrial and non-industrial countries: driven by fundamentals or different treatment?,dataset-265\\n273,MIDI,, Review of World Economics (Weltwirtschaftliches Archiv) ,Taxes and the financial structure of German inward FDI,dataset-266\\n274,VJKRE,,BBk Discussion Paper,Do banks diversify loan portfolios? A tentative answer based on individual bank loan portfolios,dataset-267\\n275,BISTA,,BBk Discussion Paper,Measurement matters: Input price proxies and bank efficiency in Germany,dataset-268\\n276,GUV,,BBk Discussion Paper,Measurement matters: Input price proxies and bank efficiency in Germany,dataset-269\\n277,MIDI,,BBk Discussion Paper,Clustering or competition? The foreign investment behaviour of German banks,dataset-270\\n278,BISTA,,BBk Discussion Paper,Clustering or competition? The foreign investment behaviour of German banks,dataset-271\\n279,GUV,,BBk Discussion Paper,Clustering or competition? The foreign investment behaviour of German banks,dataset-272\\n280,MIMIK,,BBk Discussion Paper,How will Basel II affect bank lending to emerging markets? An analysis based on German bank level data,dataset-273\\n281,MIDI,,BBk Discussion Paper,FDI versus cross-border financial services: The globalisation of German banks,dataset-274\\n282,BISTA,,BBk Discussion Paper,FDI versus cross-border financial services: The globalisation of German banks,dataset-275\\n283,GUV,,BBk Discussion Paper,FDI versus cross-border financial services: The globalisation of German banks,dataset-276\\n284,MIMIK,,BBk Discussion Paper,German bank lending during emerging market crises: A bank level analysis,dataset-277\\n285,BISTA,,BBk Discussion Paper,Does capital regulation matter for bank behaviour? Evidence for German savings banks,dataset-278\\n286,MIDI,,BBk Discussion Paper,\\\"Does co-financing by multilateral development banks increase \\\"\\\"risky\\\"\\\" direct investment in emerging markets'\\\",dataset-279\\n287,USTAN,,BBk Discussion Paper,Forecasting Credit Portfolio Risk,dataset-280\\n288,MIDI,,BBk Discussion Paper,Foreign Bank Entry into Emerging Economies: An Empirical Assessment of the Determinants and Risks Predicated on German FDI Data,dataset-281\\n289,MIDI,,BBk Discussion Paper,Determinants of German Foreign Direct Investment in Latin American and Asian Emerging Markets in the 1990s,dataset-282\\n290,MIDI,,Economic Policy 20 ,Determinants of German FDI: New Evidence from Micro-Data,dataset-283\\n291,USTAN,,BBk Discussion Paper,A Vectorautoregressive Investment Model (VIM) and Monetary Policy Transmission: Panel Evidence from German Firms,dataset-284\\n292,USTAN,,BBk Discussion Paper,Dynamic Q-investment functions for Germany using panel balance sheet data and a new algorithm for the capital stock at replacement values,dataset-285\\n293,BISTA,,BBk Discussion Paper,Estimating Bilateral Exposures in the German Interbank Market: Is there a Danger of Contagion?,dataset-286\\n294,BISTA,,BBk Discussion Paper,Testing for Competition Among German Banks,dataset-287\\n295,GUV,,BBk Discussion Paper,Testing for Competition Among German Banks,dataset-288\\n296,USTAN,,BBk Discussion Paper,Firm Investment and Monetary Policy Transmission in the Euro Area,dataset-289\\n297,USTAN,,BBk Discussion Paper,Monetary transmission in Germany: New Perspectives on Financial Constraints and Investment Spending,dataset-290\\n298,BISTA,,BBk Discussion Paper,Monetary policy effects on bank loans in Germany: A panel-econometric analysis,dataset-291\\n299,BISTA,,BBk Discussion Paper,Interbank lending and monetary policy transmission: evidence for Germany,dataset-292\\n300,USTAN,,BBk Discussion Paper,Exploring the role of uncertainty for corporate investment decisions in Germany,dataset-293\\n301,USTAN,,BBk Discussion Paper,Enterprises' financing structure and their response to monetary policy stimuli: An analysis based on the Deutsche Bundesbank's corporate balance sheet statistics,dataset-294\\n302,MIDI,,\\\"International Tax and Public Finance, volume 16(3), pp. 298-320\\\",The impact of nonprofit taxes on foreign direct investment: Evidence from German multinationals,dataset-295\\n303,MIDI,,Quarterly Journal of Economics,Global Production with Export Platforms,dataset-296\\n304,MIDI,,\\\"The Review of Economics and Statistics, volume 98(4), pp. 713–727\\\",Multinational Firms and Tax Havens,dataset-297\\n305,MIDI,,\\\"Journal of Public Economics, volume 156, pp. 131-149\\\",Evaluating the effects of ACE systems on multinational debt financing and investment,dataset-298\\n306,MIMIK,,,What happens if private accounting information becomes public? The case of access to bank debt,dataset-299\\n307,USTAN,,,What happens if private accounting information becomes public? The case of access to bank debt,dataset-300\\n308,PHF,,\\\"Economics Letters, vloume 162,pp. 167-170\\\",\\\"You might not get what you need: The discrepancy between financial,advice and commissions in Germany,You might not get what you need: The discrepancy between financial advice and commissions in Germany\\\",dataset-301\\n309,AUSTA,, available at SSRN Electronic Journal: https://ssrn.com/abstract=31173,The Pricing of FX Forward Contracts: Micro Evidence from Banks' Dollar Hedging,dataset-302\\n310,BISTA,, available at SSRN Electronic Journal: https://ssrn.com/abstract=31173,The Pricing of FX Forward Contracts: Micro Evidence from Banks' Dollar Hedging,dataset-303\\n311,BISTA,, Deutsche Bundesbank Discussion Paper (22/2018),\\\"Unconventional Monetary Policy, Bank Lending, and Security Holdings: The Yield-Induced Portfolio Rebalancing Channel\\\",dataset-304\\n312,VJKRE,, Deutsche Bundesbank Discussion Paper (22/2018),\\\"Unconventional Monetary Policy, Bank Lending, and Security Holdings: The Yield-Induced Portfolio Rebalancing Channel\\\",dataset-305\\n313,ZISTA,, Deutsche Bundesbank Discussion Paper (22/2018),\\\"Unconventional Monetary Policy, Bank Lending, and Security Holdings: The Yield-Induced Portfolio Rebalancing Channel\\\",dataset-306\\n314,GUV,, Deutsche Bundesbank Discussion Paper (22/2018),\\\"Unconventional Monetary Policy, Bank Lending, and Security Holdings: The Yield-Induced Portfolio Rebalancing Channel\\\",dataset-307\\n315,SHS-BASE,, Deutsche Bundesbank Discussion Paper (22/2018),\\\"Unconventional Monetary Policy, Bank Lending, and Security Holdings: The Yield-Induced Portfolio Rebalancing Channel\\\",dataset-308\\n316,ZISTA,,\\\"SAFE Working Paper No. 206., available at SSRN: https://ssrn.com/abstract=3174632\\\",P2P Lenders versus Banks: Cream Skimming or Bottom Fishing?,dataset-309\\n317,BISTA,,\\\"SAFE Working Paper No. 206., available at SSRN: https://ssrn.com/abstract=3174632\\\",P2P Lenders versus Banks: Cream Skimming or Bottom Fishing?,dataset-310\\n318,USTAN,,\\\"Journal of Political Economy (forthcoming), currently available at SSRN Electronic Journal\\\",Rent-Seeking in Elite Networks,dataset-311\\n319,PHF,,available at SSRN Electronic Journal: https://ssrn.com/abstract=3175881,Household Financial Risk Tolerance in Europe,dataset-312\\n320,PHF,,\\\"The Journal of the Economics of Ageing, Vol. 12.\\\",Intra-household allocation of non-mandatory retirement savings,dataset-313\\n321,MIDI,,\\\" WU International Taxation Research Paper Series (02/2017), available at SSRN Electronic Journal: https://ssrn.com/abstract=2929347)\\\",\\\"The Effect of International Taxation on Organizational Form Choices: Evidence from Group Structures of Multinationals,International Taxation and the Role of Organizational Form,Choices for Group Structures of Multinationals\\\",dataset-314\\n322,BISTA,,available at SSRN Electronic Journal: https://www.ssrn.com/abstract=2862034,Determinants of bank-level deposit volatility: Evidence from the German banking system,dataset-315\\n323,PHF,,The review of Economic Studies,\\\"Historical Antisemitism, Ethnic Specialization, and Financial Development\\\",dataset-316\\n324,BISTA,,Munich Discussion Paper,\\\"The Good, the Bad, and the Ugly: Impact of Negative Interest Rates and QE on the Profitability and Risk-Taking of 1600 German Banks\\\",dataset-317\\n325,GUV,,Munich Discussion Paper,\\\"The Good, the Bad, and the Ugly: Impact of Negative Interest Rates and QE on the Profitability and Risk-Taking of 1600 German Banks\\\",dataset-318\\n326,USTAN,,American Economic Review,Investment dispersion and the business cycle,dataset-319\\n327,MIDI,,Beiträge zur Jahrestagung des Vereins für Socialpolitik,Transfer pricing as tax avoidance under different legislative schemes,dataset-320\\n328,SITS,,Beiträge zur Jahrestagung des Vereins für Socialpolitik,Transfer pricing as tax avoidance under different legislative schemes,dataset-321\\n329,SHS-BASE,,SSRN Discussion Paper,Ownership Disclosure and Ownership Structure: Investors' Response to Lower Reporting Thresholds,dataset-322\\n330,MIDI,,Canadian Journal of Economics,Investment Impact of Tax Loss Treatment - Empirical Insights from a Panel of Multinationals,dataset-323\\n331,MIDI,, National Tax Journal,Internal Debt and Multinational Profit Shifting: Empirical Evidence from Firm-Level Panel Data,dataset-324\\n332,MIDI,,Review of Quantitative Finance and Accounting,Bilateral Internal Debt Financing and Tax Planning of Muiltinational Firms,dataset-325\\n333,MIDI,,Journal of Public Economics,The Impact of Thin-Capitalization Rules on the Capital Structure of Multinational Firms,dataset-326\\n334,MIDI,,Global Strategy Journal,Information Costs and Internationalization Performance,dataset-327\\n335,MIDI,,Canadian Journal of Economics,The taxation of passive foreign investment - Lessons from German experience,dataset-328\\n336,MIDI,, Finanzarchiv,Tax Status and Tax Response Heterogeneity of Multinationals' Debt Finance,dataset-329\\n337,MIDI,, Zeitschrift für Betriebswirtschaft,Corporation Taxes and the Debt Policy of Multinational Firms - Evidence for German Multinationals,dataset-330\\n338,MIDI,,Strategic Management Journal,The role of operational flexibility in the expansion of international production networks,dataset-331\\n339,MIDI,,\\\"Taxation in Developing Economics, MIT Press\\\",International Profit Shifting and Multinational Firms in Developing Economies,dataset-332\\n340,MIDI,, National Tax Journal,The effects of taxation on the location decision of multinational firms: M&A vs. Greenfield investments,dataset-333\\n341,MIDI,,The B.E. Journals of Economic Analysis and Policy,FDI and Domestic Investment: An Industry-Level View,dataset-334\\n342,MIDI,,Review of World Economics,Debt financing and sharp currency depreciations: wholly versus partially-owned multinational affiliates,dataset-335\\n343,MIDI,,Applied Economics Quarterly,German Firms in Service Trade,dataset-336\\n344,SITS,,Applied Economics Quarterly,German Firms in Service Trade,dataset-337\\n345,MIDI,,Applied Economics,Corporate Tax Planning and Thin-Capitalzation Rules: Evidence from a Quasi-Experiment,dataset-338\\n346,MIDI,,Zeitschrift für betriebswirtschaftliche Forschung, Holding als Mittel der Steuerplanung zur Implementierung von steuerlich motiviertem Fremdkapital,dataset-339\\n347,MIDI,,Journal of Macroeconomics,The Long Shadow of the Berlin Wall,dataset-340\\n348,MIDI,, Economics Letters,Taxation and Capital Structure Choice – Evidence from a Panel of German Multinationals,dataset-341\\n349,MIDI,,National Tax Journal,The Effects of Multinationals’ Profit Shifting Activities on Real Investments,dataset-342\\n350,MIDI,,The World Economy,Who Cares about Corporate Taxation? Asymmetric Tax Effects on Outbound FDI,dataset-343\\n351,MIDI,, International Tax and Public Finance, Profit shifting in the EU: Evidence from Germany,dataset-344\\n352,MIDI,, The Analysis of Firms and Employees: Quantitative and Qualitative Approaches,Job Creation Abroad and Worker Retention at Home,dataset-345\\n353,MIDI,,Applied Economics,Corporate Tax Planning and Thin-Capitalization Rules: Evidence from a Quasi Experiment,dataset-346\\n354,MIDI,,Czech Journal of Economics and Finance,\\\" Foreign direct investment, corporate finance, and the life cycle of investment\\\",dataset-347\\n355,MIDI,,\\\"Financial Stability Report 2006, Czech National Bank\\\",Foreign direct investment and the Czech corporate sector: potential risks to financial stability,dataset-348\\n356,MIDI,,European Economic Review,\\\"Where Enterprises Lead, People Follow? Links Between Migration and German FDI\\\",dataset-349\\n357,MIDI,,Review of World Economics, Location Choice and Employment Decisions: A Comparison of German and Swedish Multinationals,dataset-350\\n358,MIDI,,BBk Discussion Paper,The organization of knowledge in multinational firms,dataset-351\\n359,MIDI,,,Environmental Regulation and Foreign Direct Investment: The Role of Mode of Entry,dataset-352\\n360,MIDI,,,At Your Service! The Role of Tax Havens in International Trade with 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0.005,8,100,10.0,13987,13,8.951238929246692\\n0.8998335402385302,0.003015324013248158,0.5,3,0.02,0.005,8,120,10.0,15683,13,8.951238929246692\\n0.899892554664483,0.0031211574447176397,0.5,5,0.02,0.005,8,100,10.0,12269,13,8.951238929246692\\n0.899932801051597,0.0031262980358516177,0.5,5,0.02,0.005,8,120,10.0,14275,13,8.951238929246692\\n0.8998286908347312,0.0031039716925480997,0.5,7,0.02,0.005,8,100,10.0,12259,13,8.951238929246692\\n0.89983726052336,0.003106114010707408,0.5,7,0.02,0.005,8,120,10.0,12410,13,8.951238929246692\\n0.8998527773041448,0.0030142684270489653,0.5,3,0.02,0.005,10,100,10.0,13982,13,8.951238929246692\\n0.8998004616955518,0.0030122026579881027,0.5,3,0.02,0.005,10,120,10.0,13990,13,8.951238929246692\\n0.8998997724055744,0.003151508675565274,0.5,5,0.02,0.005,10,100,10.0,14414,13,8.951238929246692\\n0.8999232432928136,0.0031293799309461356,0.5,5,0.02,0.005,10,120,10.0,14108,13,8.951238929246692\\n0.8998317894766333,0.0031267167087460756,0.5,7,0.02,0.005,10,100,10.0,14500,13,8.951238929246692\\n0.8998638924448317,0.0031294050040558156,0.5,7,0.02,0.005,10,120,10.0,12259,13,8.951238929246692\\n0.8998497102570716,0.0030284199843575044,0.5,3,0.02,0.005,12,100,10.0,13987,13,8.951238929246692\\n0.8998336258336358,0.003022754478480318,0.5,3,0.02,0.005,12,120,10.0,13987,13,8.951238929246692\\n0.8999207071038878,0.003121302774075645,0.5,5,0.02,0.005,12,100,10.0,14275,13,8.951238929246692\\n0.8999134504745064,0.003152315005659433,0.5,5,0.02,0.005,12,120,10.0,12269,13,8.951238929246692\\n0.8998073438011932,0.003136582415647106,0.5,7,0.02,0.005,12,100,10.0,14515,13,8.951238929246692\\n0.8998689474722747,0.0031402769581861945,0.5,7,0.02,0.005,12,120,10.0,12748,13,8.951238929246692\\n0.9003373882718513,0.003226221275616374,0.7,3,0.02,0.005,8,100,10.0,20381,13,1.0\\n0.9003155688866892,0.00324585350489107,0.7,3,0.02,0.005,8,120,10.0,20236,13,1.0\\n0.900294159304919,0.0031647745635193614,0.7,5,0.02,0.005,8,100,10.0,19296,13,1.0\\n0.9002636997883032,0.0031787467723596793,0.7,5,0.02,0.005,8,120,10.0,19296,13,1.0\\n0.9003183638604855,0.003103355763662697,0.7,7,0.02,0.005,8,100,10.0,18220,13,1.0\\n0.9003193270707179,0.0031155747586980266,0.7,7,0.02,0.005,8,120,10.0,18220,13,1.0\\n0.9003384825742826,0.0032154414192693353,0.7,3,0.02,0.005,10,100,10.0,20259,13,1.0\\n0.9003080565400435,0.0032257762594153747,0.7,3,0.02,0.005,10,120,10.0,19197,13,1.0\\n0.9003046436639872,0.00317161663965659,0.7,5,0.02,0.005,10,100,10.0,19296,13,1.0\\n0.9002740785598613,0.0031759430456749452,0.7,5,0.02,0.005,10,120,10.0,19297,13,1.0\\n0.9003087334771065,0.003108185558677521,0.7,7,0.02,0.005,10,100,10.0,18220,13,1.0\\n0.900303720626704,0.0031056667572730186,0.7,7,0.02,0.005,10,120,10.0,18214,13,1.0\\n0.9003216617232238,0.003225215081593214,0.7,3,0.02,0.005,12,100,10.0,20273,13,1.0\\n0.9003148378506963,0.003233581735627678,0.7,3,0.02,0.005,12,120,10.0,20273,13,1.0\\n0.900292140920075,0.003150229317202478,0.7,5,0.02,0.005,12,100,10.0,17736,13,1.0\\n0.9002670595705391,0.00318108553951549,0.7,5,0.02,0.005,12,120,10.0,19296,13,1.0\\n0.9002906104411905,0.0031012666521475396,0.7,7,0.02,0.005,12,100,10.0,18219,13,1.0\\n0.9002960777295532,0.0030997505491484655,0.7,7,0.02,0.005,12,120,10.0,18220,13,1.0\\n0.8996382210981146,0.0032471163004376526,0.7,3,0.02,0.005,8,100,10.0,15895,13,8.951238929246692\\n0.8996845109703098,0.003244574520387354,0.7,3,0.02,0.005,8,120,10.0,15894,13,8.951238929246692\\n0.8997686436732723,0.0031147134789759443,0.7,5,0.02,0.005,8,100,10.0,14863,13,8.951238929246692\\n0.8997868499536695,0.0031221041666962828,0.7,5,0.02,0.005,8,120,10.0,14842,13,8.951238929246692\\n0.8996110030286054,0.0031209248286098094,0.7,7,0.02,0.005,8,100,10.0,17766,13,8.951238929246692\\n0.8996125397211492,0.003139300225547157,0.7,7,0.02,0.005,8,120,10.0,17406,13,8.951238929246692\\n0.8996435651045596,0.0032491344927959827,0.7,3,0.02,0.005,10,100,10.0,15894,13,8.951238929246692\\n0.8996589410525961,0.0032549865357232094,0.7,3,0.02,0.005,10,120,10.0,16126,13,8.951238929246692\\n0.8997586779948357,0.003135139702736954,0.7,5,0.02,0.005,10,100,10.0,15883,13,8.951238929246692\\n0.8997831259496482,0.0031283364658272815,0.7,5,0.02,0.005,10,120,10.0,14724,13,8.951238929246692\\n0.8996099941256374,0.0031662563407726385,0.7,7,0.02,0.005,10,100,10.0,17739,13,8.951238929246692\\n0.899615424810949,0.0031215565981429372,0.7,7,0.02,0.005,10,120,10.0,17767,13,8.951238929246692\\n0.8996359699628022,0.0032450096646761614,0.7,3,0.02,0.005,12,100,10.0,16269,13,8.951238929246692\\n0.8996524291052324,0.0032626627459722683,0.7,3,0.02,0.005,12,120,10.0,16122,13,8.951238929246692\\n0.8997601369530224,0.0031312321622881914,0.7,5,0.02,0.005,12,100,10.0,15888,13,8.951238929246692\\n0.8997816001503858,0.003133357924786331,0.7,5,0.02,0.005,12,120,10.0,15888,13,8.951238929246692\\n0.89959598728958,0.00312724723667501,0.7,7,0.02,0.005,12,100,10.0,17742,13,8.951238929246692\\n0.8996167454032521,0.0031208641265283226,0.7,7,0.02,0.005,12,120,10.0,17768,13,8.951238929246692\\n0.900399386468414,0.00298986298361734,0.5,3,0.03,0.005,8,100,10.0,20340,13,1.0\\n0.9003679305256662,0.00304317420788187,0.5,3,0.03,0.005,8,120,10.0,20340,13,1.0\\n0.900400453432008,0.0031737674278751377,0.5,5,0.03,0.005,8,100,10.0,19562,13,1.0\\n0.9004253718864546,0.0031658175703219646,0.5,5,0.03,0.005,8,120,10.0,18228,13,1.0\\n0.9003030039686947,0.003128290508410447,0.5,7,0.03,0.005,8,100,10.0,20388,13,1.0\\n0.9002962814263913,0.0031371206778553753,0.5,7,0.03,0.005,8,120,10.0,20032,13,1.0\\n0.9003645209465457,0.003056794722109206,0.5,3,0.03,0.005,10,100,10.0,19562,13,1.0\\n0.9003661784159064,0.003058563051746234,0.5,3,0.03,0.005,10,120,10.0,19600,13,1.0\\n0.9003836729732921,0.0031695430104555266,0.5,5,0.03,0.005,10,100,10.0,18219,13,1.0\\n0.900371047818159,0.003183893496021927,0.5,5,0.03,0.005,10,120,10.0,20082,13,1.0\\n0.9002973292546619,0.0031239307597937067,0.5,7,0.03,0.005,10,100,10.0,20334,13,1.0\\n0.9003253763733216,0.0031151237326900202,0.5,7,0.03,0.005,10,120,10.0,20397,13,1.0\\n0.9003811862261996,0.003042557518657099,0.5,3,0.03,0.005,12,100,10.0,19600,13,1.0\\n0.9003557816667327,0.003073835479352363,0.5,3,0.03,0.005,12,120,10.0,18821,13,1.0\\n0.9004131348800941,0.0031646660600441402,0.5,5,0.03,0.005,12,100,10.0,20098,13,1.0\\n0.9003767681044105,0.003167784913476432,0.5,5,0.03,0.005,12,120,10.0,18219,13,1.0\\n\\n\\nReportName,Category,CDS,CDX,VDP,Option,SortOrder\\nreportappcount,sarg,Y,Y,Y,-,\\\"AppType,ProtectedApps,UnprotectedApps,TotalApps,Protected(%)\\\"\\nreportapphistory,sarg,Y,Y,Y,-,\\\"HostName,AppName,AppID,FirstStatTime,LastStatTime,OldestMDL(GiB),CurrentMDL(GiB)\\\"\\nreportapphistory,sarg,Y,Y,Y,s,\\\"HostName,AppName,AppID,FirstStatTime,LastStatTime,OldestSnapPool(GiB),CurrentSnapPool(GiB)\\\"\\nreportapps,sarg,Y,Y,Y,-,\\\"AppType,HostName,AppName,AppID,Template,Profile,Ignored,VirtSize(GB),MDLStat(GB),VDisks,Stage(GB),Snaps(GB),Total(GB),Dedups,PostCompress(GB),LastExpirationDate,Organizations,StatDate,ApplianceName,FromMount\\\"\\nreportapps,sarg,Y,Y,Y,f,\\\"OriginalAppName,OriginalAppID,ParentAppID,AppID,AppType,Hostname,Appname,AppIDTree,AppNameTree\\\"\\nreportaudit,sarg,Y,Y,Y,-,\\\"IssueDate,UserName,IPAddress,Component,JobName,ID,Command\\\"\\nreportaudit,sarg,Y,Y,Y,t,\\\"UserName,Type,Count,RESTAPI,GUI,Desktop,SSH(udstask)\\\"\\nreportcanceledjobs,sarg,Y,Y,Y,-,\\\"StartDate,JobName,JobClass,PolicyName,HostName,AppName,AppID,Duration,Message,RetryCommand\\\"\\nreportcloneconsumption,sarg,Y,Y,Y,-,\\\"ParentAppID,AppID,UniqueID,ParentAppName,Type,HostName,AppName,SnapData(GB),MaxSnapData(GB),SnapLogs(GB),Dedup(GB)\\\"\\nreportcloneconsumption,sarg,Y,Y,Y,m,\\\"ParentAppID,AppID,UniqueID,ParentAppName,Type,HostName,AppName,SourceSnapData(GB),MaxSourceSnapData(GB),MountSnapData(GB),SnapLogs(GB),Dedup(GB)\\\"\\nreportclonedisks,sarg,Y,Y,Y,-,\\\"DiskName,MappedHost(s),Apptype,Hostname,AppName,AppID,DiskSize(GB),CreationDate,UUID\\\"\\nreportclones,sarg,Y,Y,Y,-,\\\"StartDate,JobName,JobClass,HostName,AppName,AppID,TargetHost,Duration,VirtSize(GB),AppSize(GB),DedupRestored(GB),DataCopied(GB),UserName\\\"\\nreportcompliance,sarg,Y,Y,Y,-,\\\"AppType,HostName,AppName,AppID,Template,Profile,AppSize(GB),Snapshot,DirectDedup,Dedup,RemoteDedup,ProdMirror,OnVault\\\"\\nreportconnectoroptions,sarg,Y,Y,Y,-,\\\"AppType,HostName,AppName,AppID,Template,Profile,SLAID,connectoroptions\\\"\\nreportconnectors,sarg,Y,Y,Y,-,\\\"Platform,Hostname,OSType,HostID,IPAddress,DBAuthentication,InstalledVersion,AvailableVersion,VersionCheck,DiskPref,Transport\\\"\\nreportconnectors,sarg,Y,Y,Y,s,\\\"UpLevel,DownLevel,Total\\\"\\nreportconsumption,sarg,Y,Y,Y,-,\\\"SourceAppliance,AppID,HostName,AppName,SnapData(GB),SnapLogs(GB),SnapMounts(GB),Dedup(GB),DedupChildren(GB),OnVault(GB)\\\"\\nreportdaily,sarg,Y,Y,Y,-,\\\"AppType,HostName,AppName,AppID,Template,Profile,AppSize(GB),DataCopied(GB),Logs,Snaps,D2D,Dedup,RemDup,ProdMirror,OnVault,Failed,NotRun,ProdMirrorDate\\\"\\nreportdailyfailures,sarg,Y,Y,Y,-,\\\"AppType,HostName,AppName,AppID,Template,Profile,AppSize(GB),Snap,D2D,Dedup,RemDup,ProdMirror,OnVault,Expires,Mounts,Total\\\"\\nreportdarusage,sarg,Y,Y,Y,-,\\\"StartDate,JobName,JobClass,HostName,AppName,AppID,TargetHost,Duration,VirtSize(GB),AppSize(GB)\\\"\\nreportdedupasyncs,sarg,Y,Y,Y,-,\\\"StartDate,JobName,JobClass,PolicyName,HostName,AppName,AppID,Duration,VirtSize(GB),AppSize(GB),DataCopied(MB),WroteLocal(MB),TotalSent(MB),LocalSaving%,WANReduction%\\\"\\nreportdedupratio,sarg,Y,Y,Y,-,\\\"Total number of images,Logical copy data(TiB),Dedup pool used(TiB),Dedup efficiency ratio\\\"\\nreportdedupratio,sarg,Y,Y,Y,t,\\\"Description,Statistic\\\"\\nreportdedups,sarg,Y,Y,Y,-,\\\"StartDate,JobName,JobClass,PolicyName,HostName,AppName,AppID,Duration,CaptureType,VirtSize(GB),AppSize(GB),BytesRead(MB),PostDedup(MB),PostCompress(MB),Saving%,Ratio,ExpirationDate\\\"\\nreportdirectdedups,sarg,Y,Y,Y,-,\\\"StartDate,JobName,JobClass,PolicyName,HostName,AppName,AppID,Duration,CaptureType,VirtSize(GB),AppSize(GB),BytesRead(MB),PostDedup(MB),PostCompress(MB),Saving%,Ratio,ChangeRate%,ExpirationDate\\\"\\nreportdirectdedups,sarg,Y,Y,Y,g,\\\"StartDate,JobName,JobClass,PolicyName,HostName,AppName,AppID,Duration,CaptureType,VirtSize(GB),AppSize(GB),BytesRead(GB),PostDedup(GB),PostCompress(GB),Saving%,Ratio,ChangeRate%,ExpirationDate\\\"\\nreportdisables,sarg,Y,Y,Y,-,\\\"SLAID,Function,Date,AppID,HostName,AppName,EnableCommand\\\"\\nreportdisables,sarg,Y,Y,Y,u,\\\"SLAID,Function,Date,AppID,HostName,AppName,EnableCommand,Username\\\"\\nreporteverything,sarg,Y,Y,Y,-,\\\"AppType,HostName,AppName,AppID,HostID,Ignored,ConsistencyGroupID,ConsistencyGroupName,GroupMemberID,GroupID,GroupName,SLAID,ScheduleOff,DedupAsyncOff,TemplateID,TemplateName,ProfileID,ProfileName,LocalNode,RemoteNode,VirtualSize(GB),Snaps,DirectDedups,Dedups,RemoteDudups,LiveClones,DedupAsyncs,SnapStreams,OnVaults,SnapshotDate,DirectDedupDate,DedupDate,RemoteDedupDate,LiveCloneDate,DedupAsyncDate,SnapStreamDate,OnVaultDate\\\"\\nreportfabric,sarg,N,N,Y,-,\\\"HostName,HostID,HostType,HostIQN,HostIPs,eth*\\\"\\nreportfabric,sarg,N,N,Y,i,\\\"HostName,HostID,HostType,HostIQN,HostIPs,eth*\\\"\\nreportfabric,sarg,N,N,Y,p,\\\"NodeName,PortType,PortID,MAC,LinkState,LinkSpeed,IP,iSCSI_IQN\\\"\\nreportfabric,sarg,Y,N,N,-,\\\"FabricType,VendorType,HostName,MappedHostName,MappedHostType,Status,WWPN,N1P*,N2P*\\\"\\nreportfabric,sarg,Y,N,N,i,\\\"FabricType,VendorType,HostName,MappedHostName,MappedHostType,HostStatus,HostIQN,Node1*,Node2*\\\"\\nreportfabric,sarg,Y,N,N,p,\\\"NodeName,PortType,PortID,WWPN/MAC,nPortID,LinkState,LinkSpeed,IP,iSCSI_IQN\\\"\\nreportfabric,sarg,N,Y,N,-,*\\nreportfabric,sarg,N,Y,N,i,\\\"HostName,HostID,HostType,HostIQN,HostIPs,eth*,bond*\\\"\\nreportfabric,sarg,N,Y,N,p,\\\"ClusterName,NodeName,InterfaceType,InterfaceName,Function,MAC/WWPN,State,LinkSpeed,IPAddress/FCID,IQN\\\"\\nreportfailedjobs,sarg,Y,Y,Y,-,\\\"StartDate,JobName,JobClass,Status,PolicyName,HostName,AppName,AppID,Duration,CaptureType,ErrorCode,Message,RetryCommand\\\"\\nreportfailedjobs,sarg,Y,Y,Y,f,\\\"Startdate,JobClass,Status,PolicyName,HostName,AppName,AppID,ErrorCode,Count,Message,LastSuccessfulJob,LastDuration,LastJobName\\\"\\nreportfailedjobs,sarg,Y,Y,Y,x,\\\"Startdate,JobClass,Status,PolicyName,HostName,AppName,AppID,ErrorCode,Count,Message,LastSuccessfulJob,LastDuration,LastJobName\\\"\\nreportfctree,sarg,Y,Y,Y,-,\\\"AppType,HostName,AppName,AppID,MountedHost,Label,vDiskType,vDiskName,DiskPool,UsedCapacity(GB),TotalCapacity(GB),CreationDate,CompressionRatio,ImageName,ConsistencyDate\\\"\\nreportgroups,sarg,Y,Y,Y,-,\\\"GroupID,GroupName,GroupType,AppType,HostName,AppName,AppID,Template,Profile,IgnoredStatus,InstanceName,Clustered\\\"\\nreporthealth,sarg,Y,Y,Y,-,\\\"CheckName,Result,Status\\\"\\nreporthealth,sarg,Y,Y,Y,i,\\\"Process,MemoryUsage(MB),Uptime\\\"\\nreportimagecount,sarg,Y,Y,Y,-,\\\"AppType,HostName,AppName,AppID,SourceCluster,Template,Profile,Vols,AppSize(GB),Snaps,D2D,Dedup,RemDup,OnVaults,LiveClone,Mount,Total,ProdMirrorDate\\\"\\nreportimages,sarg,Y,Y,Y,-,\\\"ImageName,JobClass,HostName,AppName,AppID,AppSize(GB),ConsistencyDate,EndPIT,ExpirationDate,SourceCluster,Label,ImmutabilityDate,RestoreableObjects,CloudPool\\\"\\nreportimages,sarg,Y,Y,Y,m,\\\"ImageName,JobClass,HostName,AppName,AppID,AppSize(GB),ConsistencyDate,ExpirationDate,SourceCluster,PolicyName,MigrateCommand,CheckCommand,ExpireCommand\\\"\\nreportimages,sarg,Y,N,N,s,\\\"ImageName,JobClass,HostName,AppName,AppID,Vols,VirtualSize(GB),AppSize(GB),StageUsed(GB),SnapshotUsed(GB),ConsistencyDate,ExpirationDate,SourceCluster,StagingDisks,SnapshotDisks\\\"\\nreportimages,sarg,N,Y,Y,s,\\\"ImageName,JobClass,HostName,AppName,AppID,Vols,VirtualSize(GB),AppSize(GB),StageUsed(GB),SharedSnapshotUsed(GB),SnapshotUsed(GB),ConsistencyDate,ExpirationDate,SourceCluster,StagingDisks,SnapshotDisks,CompressionRatio\\\"\\nreportimages,sarg,Y,Y,Y,y,\\\"ImageName,JobClass,HostName,AppName,AppID,AppSize(GB),ConsistencyDate,EndPIT,ExpirationDate,SourceCluster,BackupLock,RestoreLock,ImmutabilityDate,ImageStatus,ExpireCommand\\\"\\nreportinband,sarg,Y,Y,Y,-,\\\"DiskName,DiskSize(GB),MappedHost(s),Apptype,Hostname,AppName,AppID,Snapshot,UUID,Type\\\"\\nreportjobcount,sarg,Y,Y,Y,-,\\\"Event,Count\\\"\\nreportliveclones,sarg,Y,Y,Y,-,\\\"StartDate,JobName,JobClass,PolicyName,HostName,AppName,AppID,Duration,VirtSize(GB),AppSize(GB),DataCopied(GB),ChangeRate(%)\\\"\\nreportmappeddisks,sarg,Y,N,N,-,\\\"DiskName,DiskSize(GB),MappedHost,Apptype,Hostname,AppName,AppID,RunningJob,LUNID,UUID\\\"\\nreportmappeddisks,sarg,Y,N,N,u,\\\"DiskName,DiskSize(GB),MappedHost,Apptype,Hostname,AppName,AppID,RunningJob,LUNID,UnmapCommand\\\"\\nreportmappeddisks,sarg,N,Y,Y,-,\\\"VDiskName,DiskSize(GB),MappedHost,Apptype,Hostname,AppName,AppID,RunningJob,LUNID,UUID\\\"\\nreportmappeddisks,sarg,N,Y,Y,u,\\\"VDiskName,DiskSize(GB),MappedHost,Apptype,Hostname,AppName,AppID,RunningJob,LUNID,UnmapCommand\\\"\\nreportmdiskspace,sarg,N,Y,Y,-,\\\"PoolName,DiskName,DiskSize,FreeSpace,DeviceName,SCSI_ID,DiskInfo\\\"\\nreportmdiskspace,sarg,Y,N,N,-,\\\"PoolName,MDiskName,Status,MDiskSize(GB),ExtentSize(MB),TotalExtents,FreeExtents,FreeSpace(GB),Controller,LUNID(hex),LUNID(dec)\\\"\\nreportmountedimages,sarg,Y,Y,Y,-,\\\"MountImageName,OriginalImageName,OriginalClass,ConsistencyDate,LastMountDate,AppType,SourceHost,SourceApp,SourceAppID,MountedHost,MountedAppName,VirtSize(GB),ConsumedSize(GB),Label,UnmountDeleteCommand,Transport,RestoreableObjects,Age,ParentSnap(GB),MountedAppID,UserName,ReadMode\\\"\\nreportmountedimages,sarg,Y,Y,Y,b,\\\"MountImageName,AppType,SourceHost,SourceApp,SourceAppID,MountedHost,MountedAppName,MountedHostID,RestoreOptions\\\"\\nreportmountedimages,sarg,Y,Y,Y,p,\\\"MountImageName,OriginalImageName,OriginalClass,ConsistencyDate,LastMountDate,AppType,SourceHost,SourceApp,SourceAppID,MountedHost,MountedAppName,VirtSize(GB),ConsumedSize(GB),Label,UnmountDeleteCommand,MountPool,Transport,RestoreableObjects,Age,ParentSnap(GB),MountedAppID,UserName,ReadMode\\\"\\nreportmountedimages,sarg,Y,Y,Y,1,\\\"MountImageName,AppType,SourceHost,SourceApp,SourceAppID,MountedHost,MountedAppName,MountedHostID,RemountCommand\\\"\\nreportmountedimages,sarg,Y,Y,Y,u,\\\"MountImageName,OriginalImageName,OriginalClass,ConsistencyDate,LastMountDate,AppType,SourceHost,SourceApp,SourceAppID,MountedHost,MountedAppName,VirtSize(GB),ConsumedSize(TB),Label,UnmountDeleteCommand,Transport,RestoreableObjects,Age,ParentSnap(TB),MountedAppID,UserName,ReadMode\\\"\\nreportmounts,sarg,Y,Y,Y,-,\\\"StartDate,JobName,JobClass,Status,SourceHost,SourceApp,SourceAppID,TargetHost,Duration,VirtualSize(GB),ApplicationSize(GB),OriginalClass,Transport,UserName\\\"\\nreportonvaults,sarg,Y,Y,Y,-,\\\"StartDate,JobName,JobClass,PolicyName,HostName,AppName,AppID,Duration,VirtSize(GB),AppSize(GB),PreCompress(GB),DataCopied(GB),CaptureType,ChangeRate%,CompRatio,TargetPool\\\"\\nreportorgmembers,sarg,Y,Y,Y,-,\\\"SourceCluster,AppType,HostName,AppName,AppID,Template,Profile,Ignored,AppMemberOrgs\\\"\\nreportorgusage,sarg,Y,Y,Y,-,\\\"OrgName,OrgID,AppQty,ProtectedAppQty,MDLUsage(GB),VDisks,SnapPoolUsage(GB),DataCopied(GB),LocalPostCompress(GB),RemotePostCompress(GB),OnVaultDataCopied(GB),OnVaultPoolUsage(GB)\\\"\\nreportorgusage,sarg,Y,Y,Y,t,\\\"TemplateName,SLTID,AppQty,ProtectedAppQty,MDLUsage(GB),VDisks,SnapPoolUsage(GB),DataCopied(GB),LocalPostCompress(GB),RemotePostCompress(GB),OnVaultDataCopied(GB),OnVaultPoolUsage(GB)\\\"\\nreportpolicies,sarg,Y,Y,Y,-,\\\"TemplateID,TemplateName,PolicyID,PolicyName,TotalApps,Operation,Priority,Retention,AppConsistency,LogProtection,LogTruncation,Starts,Ends,RunsEvery,RunInformation,ExceptInformation,SourceOnVaultPool,TargetOnVaultPool\\\"\\nreportpoolhistory,sarg,Y,Y,Y,-,\\\"Poolname,Date,PoolSize(GB),UsedSize(GB),Used%\\\"\\nreportpoolhistory,sarg,Y,Y,Y,g,\\\"StatDate,HostName,AppName,AppID,MDL(GB)\\\"\\nreportpoolhistory,sarg,Y,Y,Y,r,\\\"Name,EndTime,TargetClusterName,Total(MB),Average(MBps),Peak(MBps)\\\"\\nreportpoolhistory,sarg,Y,Y,Y,s,\\\"Name,EndTime,TargetClusterName,Total(MB),Average(MBps),Peak(MBps)\\\"\\nreportpoolhistory,sarg,Y,Y,Y,t,\\\"Name,EndTime,TargetClusterName,Total(MB),Average(MBps)\\\"\\nreportpoolhistory,sarg,Y,Y,Y,v,\\\"Name,StatDate,MaximumVDisks,UsedVDisks,Used%\\\"\\nreportpoolhistory,sarg,Y,Y,Y,x,\\\"StatDate,HostName,AppName,AppID,MDL(GB)\\\"\\nreportpools,sarg,Y,Y,Y,-,\\\"PoolName,FreeSpaceGiB,UsedSpaceGiB,PoolSizeGiB,PoolSize7DaysAgoGiB,UsageToday%,Usage1DayAgo%,Usage7DaysAgo%,Warn%,Safe%,Status,CompressionRatio,pooltype,PoolID,ArrayID,MDiskGrp,VaultType,Bucket,Encryption,ObjectSize\\\"\\nreportpools,sarg,Y,Y,Y,u,\\\"PoolName,FreeSpaceTiB,UsedSpaceTiB,PoolSizeTiB,PoolSize7DaysAgoTiB,UsageToday%,Usage1DayAgo%,Usage7DaysAgo%,Warn%,Safe%,Status,CompressionRatio,pooltype,PoolID,ArrayID,MDiskGrp,VaultType,Bucket,Encryption,ObjectSize\\\"\\nreportprofiles,sarg,Y,Y,Y,-,\\\"ProfileID,ProfileName,TotalApps,LocalAppliance,LocalSnapshotPool,RemoteDedupAppliance,RemoteMirrorAppliance,VaultName,ExternalSnapshotPool,VaultName2,VaultName3,VaultName4\\\"\\nreportrbac,sarg,Y,Y,Y,l,\\\"MappedLDAPGroupName,MappedLDAPGroupID,Roles,Organizations,ApplianceName\\\"\\nreportrbac,sarg,Y,Y,Y,m,\\\"Orgname,OrgID,ResourceType,HostName,ResourceName,ResourceID,ApplianceName\\\"\\nreportrbac,sarg,Y,Y,Y,s,\\\"Username,UserID,LDAPGroups,Roles,Organizations,ApplianceName\\\"\\nreportremotededups,sarg,Y,Y,Y,-,\\\"StartDate,JobName,JobClass,PolicyName,HostName,AppName,AppID,Duration,VirtSize(GB),AppSize(GB),NewLocal(MB),DataSent(MB),TotalSent(MB),Saving%,ExpirationDate\\\"\\nreportrestores,sarg,Y,Y,Y,-,\\\"StartDate,JobName,JobClass,HostName,AppName,AppID,Duration,VirtualSize(GB),ApplicationSize(GB),UserName\\\"\\nreportrpo,sarg,Y,Y,Y,-,\\\"AppType,HostName,AppName,AppID,Template,Profile,AppSize(GB),RPO(mins),LogsDate,SnapshotDate,DirectDedupDate,DedupDate,RemoteDedupDate,ProdMirror,LiveCloneDate,OnVaultDate\\\"\\nreportrpo,sarg,Y,Y,Y,m,\\\"AppType,HostName,AppName,AppID,Template,Profile,AppSize(GB),RPO(mins),LogsDate,SnapshotDate,DirectDedupDate,DedupDate,RemoteDedupDate,ProdMirror,LiveCloneDate,OnVaultDate,ShortestPolicyDedup,ShortestPolicyReplicate,ShortestPolicyOnVault,ShortPolicySnapshot\\\"\\nreportrpo,sarg,Y,Y,Y,x,\\\"AppType,HostName,AppName,AppID,Template,Profile,AppSize(GB),RPO(mins),LogsDate,SnapshotDate,DirectDedupDate,DedupDate,RemoteDedupDate,ProdMirror,LiveCloneDate,OnVaultDate,ShortestPolicyDedup,ShortestPolicyReplicate,ShortestPolicyOnVault,ShortPolicySnapshot\\\"\\nreportrpo,sarg,Y,Y,Y,y,\\\"AppType,HostName,AppName,AppID,Template,Profile,AppSize(GB),RPO(mins),LogsDate,SnapshotDate,DirectDedupDate,DedupDate,RemoteDedupDate,ProdMirror,LiveCloneDate,OnVaultDate,ShortestPolicyDedup,ShortestPolicyReplicate,ShortestPolicyOnVault,ShortPolicySnapshot\\\"\\nreportrpo,sarg,Y,Y,Y,z,\\\"AppType,HostName,AppName,AppID,Template,Profile,AppSize(GB),RPO(mins),LogsDate,SnapshotDate,DirectDedupDate,DedupDate,RemoteDedupDate,ProdMirror,LiveCloneDate,OnVaultDate,ShortestPolicyDedup,ShortestPolicyReplicate,ShortestPolicyOnVault,ShortPolicySnapshot\\\"\\nreportrunningjobs,sarg,Y,Y,Y,-,\\\"JobClass,JobName,HostName,AppName,AppID,StartDate,Duration,Status,Size(GiB),Progress%,OnDemand,Target,PhaseMessage\\\"\\nreportrunningjobs,sarg,Y,Y,Y,q,\\\"JobClass,JobName,HostName,AppName,AppID,QueueDate,WaitTime,Status,Priority,ConstraintInfo,Target\\\"\\nreportrunningjobs,sarg,Y,Y,Y,t,\\\"JobClass,JobName,HostName,AppName,AppID,StartDate,Duration,Status,Size(GiB),Progress%,OnDemand,Target,PhaseMessage,TemplateName\\\"\\nreportrunningjobs,sarg,Y,Y,Y,y,\\\"JobClass,JobName,HostName,AppName,AppID,StartDate,Duration,Status,Size(GiB),Progress%,OnDemand,Target,PhaseMessage,PreviousDurations\\\"\\nreportslaoptions,sarg,Y,Y,Y,-,\\\"AppType,HostName,AppName,AppID,Template,Profile,SLAID,ScheduleOff,ExpirationOff,SnapshotOff,LocalDedupsOff,RemoteDedupOff,DAROff,SnapCatchup,DedupCatchup,StreamSnapOff,OnVaultOff,OnVaultCatchup,CreateDate\\\"\\nreportslaoptions,sarg,Y,Y,Y,u,\\\"AppType,HostName,AppName,AppID,Template,Profile,SLAID,CreateDate,UserName\\\"\\nreportslaviolations,sarg,Y,Y,Y,-,\\\"ViolationDate,HostName,AppName,AppID,Template,Policy,JobClass,ViolationType,ExpectedJobs,Tolerance,SucceededJobs,FailedJobs,Message,RetryCommand\\\"\\nreportslaviolations,sarg,Y,Y,Y,t,\\\"ApplianceName,StartAnalysis,EndAnalysis,Snapshot,DirectDedup,Dedup,Remote-Dedup,DedupAsync,StreamSnap,OnVault,Total\\\"\\nreportsnappool,sarg,Y,Y,Y,-,\\\"AppType,HostName,AppName,AppID,SourceCluster,Template,Profile,Poolname,Vols,AppSize(GB),VDisks,Stage(GB),Snap(GB),Logs(GB),Mount(GB),Mirror(GB),LiveClone(GB),Rehydrate(GB),Clone(GB),Total(GB),VirtualSize(GB)\\\"\\nreportsnappool,sarg,Y,Y,Y,f,\\\"HostName,AppName,AppID,VDiskCount,StagingDisks(GB),Snapshots(GB),TotalUsed(GB)\\\"\\nreportstreamsnaps,sarg,Y,Y,Y,-,\\\"StartDate,JobName,JobClass,TargetAppliance,HostName,AppName,AppID,Duration,VirtSize(GB),AppSize(GB),DataCopied(MB),BytesSent(MB),BytesWritten(MB),WANReduction%,LocalReadWait(secs),RemoteWriteWait(secs),BandwidthSendWait(secs),Duration(secs),Volumes\\\"\\nreportstreamsnaps,sarg,Y,Y,Y,g,\\\"StartDate,JobName,JobClass,TargetAppliance,HostName,AppName,AppID,Duration,VirtSize(GB),AppSize(GB),DataCopied(GB),BytesSent(GB),BytesWritten(GB),WANReduction%,LocalReadWait(secs),RemoteWriteWait(secs),BandwidthSendWait(secs),Duration(secs),Volumes\\\"\\nreportsweeps,sarg,Y,Y,Y,-,\\\"StartDate,EndDate,JobName,JobClass,Status,Progress%,Duration,SpaceReclaimed(GB),SpaceSwept(GB)\\\"\\nreportsweeps,sarg,Y,Y,Y,s,\\\"GC Threshold,GC Enabled,GC Scheduled,GC Schedule Date,Sweep Enabled,Sweep Threshold%\\\"\\nreportunprotected,sarg,Y,Y,Y,-,\\\"AppType,HostName,AppName,AppID,Ignored,InstanceStatus\\\"\\nreportvms,sarg,Y,Y,Y,-,\\\"Section,Description,vCenter,ClusterName,VMName,UUID,AppID,Template,Ignored,OSRelease\\\"\\nreportvms,sarg,Y,Y,Y,e,\\\"VCenter,VMName,AppID,Status,HardDiskName,VMDKName\\\"\\nreportvms,sarg,Y,Y,Y,i,\\\"VCenter,VMName,AppID,Status,HardDiskName,VMDKName\\\"\\nreportvms,sarg,Y,Y,Y,m,\\\"Section,Description,SCVMM,ClusterName,VMName,UUID,AppID,Template,Ignored,OSRelease\\\"\\nreportvms,sarg,Y,Y,Y,p,\\\"Section,Description,CloudCredential,CloudType,VMName,UUID,HostID,AppID,Template,Ignored,Region,MachineType\\\"\\nreportvms,sarg,Y,Y,Y,v,\\\"VCenter,AppID,VMName,BootVolume,IncludeVolumes,ExcludeVolumes\\\"\\nreportworkflows,sarg,Y,Y,Y,-,\\\"WorkflowName,ID,SourceApptype,SourceHostName,SourceAppName,SourceAppID,EnableStatus,ScheduleType,Type,PrepmountHost,TargetHosts,TargetApp,Label,ScheduleTime\\\"\\nreportworkflows,sarg,Y,Y,Y,s,\\\"WorkflowName,ID,SourceApptype,SourceHostName,SourceAppName,SourceAppID,Startdate,Duration,Status,Steps\\\"\",\"difficulty\":\"hard\",\"domain\":\"Long Structured Data Understanding\",\"length\":\"medium\",\"question\":\"Which type of bank business operations is directly related to the implementation of monetary policy, and this operation is used as a feature in the model training?\",\"sub_domain\":\"Table QA\"}","display_format":"text","language":"","answer_status":"published","assets":[],"source_url":"https://huggingface.co/datasets/zai-org/LongBench-v2","history":"initial import","indexing_mode":"noindex","subproblems":[],"grids":[]}