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20200316000000-1 | 20200316000000 | 1 | cloverdalereporter.com | https://www.cloverdalereporter.com/news/fraser-health-limits-hospital-visitors-to-curb-spread-of-covid-19/ | null | null | GENERAL_HEALTH;MEDICAL;SOC_POINTSOFINTEREST;SOC_POINTSOFINTEREST_HOSPITALS;TAX_FNCACT;TAX_FNCACT_OFFICIALS;CRISISLEX_CRISISLEXREC;TAX_FNCACT_CAREGIVER;TAX_FNCACT_CAREGIVERS;MEDIA_SOCIAL; | MEDIA_SOCIAL,678;GENERAL_HEALTH,13;GENERAL_HEALTH,73;GENERAL_HEALTH,187;GENERAL_HEALTH,503;MEDICAL,13;MEDICAL,73;MEDICAL,187;MEDICAL,503;CRISISLEX_CRISISLEXREC,224;SOC_POINTSOFINTEREST_HOSPITALS,58;TAX_FNCACT_OFFICIALS,83;TAX_FNCACT_CAREGIVERS,354;TAX_FNCACT_CAREGIVER,278; | 4#Langley, British Columbia, Canada#CA#CA02#49.1#-122.65#-567692;4#Abbotsford, British Columbia, Canada#CA#CA02#49.05#-122.3#-559845;4#Chilliwack, British Columbia, Canada#CA#CA02#49.1667#-121.95#-562560 | 4#Abbotsford, British Columbia, Canada#CA#CA02#12550#49.05#-122.3#-559845#626;4#Langley, British Columbia, Canada#CA#CA02#12552#49.1#-122.65#-567692#605;4#Chilliwack, British Columbia, Canada#CA#CA02#12550#49.1667#-121.95#-562560#647 | null | null | twitter;facebook;fraser health | Twitter,701;Facebook,678;Fraser Health,13;Fraser Health,503 | 4.51127819548872,5.26315789473684,0.75187969924812,6.01503759398496,21.8045112781955,2.25563909774436,115 | null | wc:115,c12.1:13,c12.10:9,c12.12:3,c12.13:2,c12.14:4,c12.3:3,c12.4:1,c12.5:12,c12.7:6,c12.8:3,c12.9:13,c13.14:1,c14.1:10,c14.10:3,c14.11:14,c14.2:7,c14.3:15,c14.4:5,c14.5:17,c14.6:1,c14.7:6,c14.8:1,c14.9:2,c15.10:1,c15.102:1,c15.11:1,c15.116:1,c15.119:1,c15.120:1,c15.128:1,c15.147:1,c15.148:1,c15.173:1,c15.176:1,c15.18:... | null | Fraser Health,14;Fraser Health,514;White Rock,554 | 2,adult caregivers,289;2,dozen of B C,386;12,of B C,391;73,COVID,398; |
20200316000000-2 | 20200316000000 | 1 | iheart.com | https://1067rocks.iheart.com/content/2020-03-15-tom-morello-uses-wu-tang-acronym-to-promote-coronavirus-safety/ | null | null | UNGP_FORESTS_RIVERS_OCEANS;TAX_DISEASE;TAX_DISEASE_CORONAVIRUS;TAX_DISEASE_OUTBREAK;WB_635_PUBLIC_HEALTH;WB_2165_HEALTH_EMERGENCIES;WB_2166_HEALTH_EMERGENCY_PREPAREDNESS_AND_DISASTER_RESPONSE;WB_621_HEALTH_NUTRITION_AND_POPULATION;WB_2167_PANDEMICS;TAX_FNCACT;TAX_FNCACT_GUITARIST;CRISISLEX_C07_SAFETY;GENERAL_HEALTH;MED... | GENERAL_HEALTH,493;MEDICAL,493;SOC_POINTSOFINTEREST_HOSPITAL,493;CRISISLEX_C03_WELLBEING_HEALTH,493;UNGP_FORESTS_RIVERS_OCEANS,12;CRISISLEX_C07_SAFETY,429;TAX_DISEASE_OUTBREAK,146;WB_635_PUBLIC_HEALTH,146;WB_2165_HEALTH_EMERGENCIES,146;WB_2166_HEALTH_EMERGENCY_PREPAREDNESS_AND_DISASTER_RESPONSE,146;WB_621_HEALTH_NUTRIT... | null | null | tom morello | Tom Morello,70 | instagram | Instagram,281 | -0.729927007299271,4.37956204379562,5.10948905109489,9.48905109489051,24.8175182481752,0.72992700729927,124 | null | wc:124,c12.1:13,c12.10:18,c12.12:10,c12.13:5,c12.14:8,c12.3:7,c12.4:2,c12.5:5,c12.7:16,c12.8:5,c12.9:13,c13.14:1,c13.4:1,c14.1:16,c14.10:7,c14.11:22,c14.2:14,c14.3:7,c14.4:2,c14.5:19,c14.6:1,c14.7:6,c14.9:7,c15.102:1,c15.114:2,c15.124:1,c15.126:1,c15.130:1,c15.131:1,c15.132:1,c15.143:1,c15.148:1,c15.15:1,c15.155:2,c15.... | null | Tom Morello,77;Rage Against The Machine,265 | null |
20200316000000-3 | 20200316000000 | 1 | timesofisrael.com | https://blogs.timesofisrael.com/corona-the-virus-that-can-topple-an-empire/ | null | null | TAX_DISEASE;TAX_DISEASE_CORONAVIRUS;GENERAL_HEALTH;MEDICAL;CRISISLEX_C03_WELLBEING_HEALTH;HEALTH_PANDEMIC;WB_635_PUBLIC_HEALTH;WB_2165_HEALTH_EMERGENCIES;WB_2166_HEALTH_EMERGENCY_PREPAREDNESS_AND_DISASTER_RESPONSE;WB_621_HEALTH_NUTRITION_AND_POPULATION;WB_2167_PANDEMICS;UNGP_HEALTHCARE;TAX_DISEASE_SMALLPOX;TAX_DISEASE_... | HEALTH_VACCINATION,524;EDUCATION,3481;SOC_POINTSOFINTEREST_SCHOOL,3481;ARMEDCONFLICT,479;EPU_CATS_NATIONAL_SECURITY,479;TAX_MILITARY_TITLE_SOLDIERS,2252;TAX_FNCACT_SOLDIERS,2252;WATER_SECURITY,1576;TAX_DISEASE_SMALLPOX,420;MANMADE_DISASTER_IMPLIED,2086;TAX_DISEASE_MEASLES,540;UNGP_FORESTS_RIVERS_OCEANS,781;UNGP_FORESTS... | 1#China#CH#CH#35#105#CH;4#Beijing, Beijing, China#CH#CH22#39.9289#116.388#-1898541;4#Caspian Sea, Oceans (General), Oceans#OS#OS00#42#50#-1506347;4#Jerusalem, Israel (General), Israel#IS#IS00#31.7667#35.2333#-797092;4#Kyoto, Kyoto, Japan#JA#JA22#35#135.75#-235402;4#Rome, Lazio, Italy#IT#IT07#41.9#12.4833#-126693;4#Alex... | 4#Jerusalem, Israel (General), Israel#IS#IS00#18315#31.7667#35.2333#-797092#1655;4#Caspian Sea, Oceans (General), Oceans#OS#OS00#25069#42#50#-1506347#2768;4#Beijing, Beijing, China#CH#CH22#13001#39.9289#116.388#-1898541#2950;4#Alexandria, Al Iskandariyah, Egypt#EG#EG06#61590#31.1981#29.9192#-290263#2875;4#Kyoto, Kyoto,... | al gore;greta thunberg;titus livius | Al Gore,943;Greta Thunberg,900;Titus Livius,3030 | google;greenpeace | Google,3185;Greenpeace,3224 | -4.54545454545454,3.30578512396694,7.85123966942149,11.1570247933884,23.9669421487603,3.99449035812672,668 | null | wc:668,c1.1:1,c1.2:1,c1.3:3,c1.4:2,c12.1:66,c12.10:74,c12.12:32,c12.13:25,c12.14:22,c12.2:1,c12.3:28,c12.4:13,c12.5:32,c12.6:1,c12.7:56,c12.8:37,c12.9:51,c13.1:1,c13.11:2,c13.12:4,c13.14:1,c13.4:2,c13.7:3,c13.9:1,c14.1:34,c14.10:22,c14.11:75,c14.2:35,c14.3:47,c14.4:5,c14.5:69,c14.6:3,c14.7:14,c14.9:5,c15.10:2,c15.102:1... | 2383|220||The Jewish G-d only knows to kill using water. He drowned Pharaoh and his armies , as he did Sisera and his soldiers. Evidently , He intends to do the same to me. If He were truly Almighty , He would battle me on land#2526|107||Wicked one , descendant of wicked ones , I will show you how the tiniest of my cre... | Greta Thunberg,941;Climate Change,1016;Jewish G-d,2225;Baton Rouge,3056;Titus Livius,3106;Modern Empire,3207;Wall Street,3247;Kyoto Protocol,3843 | null |
20200316000000-4 | 20200316000000 | 1 | tribtown.com | http://www.tribtown.com/2020/03/15/us-gas-prices/ | null | null | TAX_ECON_PRICE;EPU_ECONOMY_HISTORIC;TAX_FNCACT;TAX_FNCACT_ANALYST;FUELPRICES;ECON_GASOLINEPRICE;ECON_HEATINGOIL;TAX_DISEASE;TAX_DISEASE_CORONAVIRUS;GENERAL_HEALTH;HEALTH_PANDEMIC;WB_635_PUBLIC_HEALTH;WB_2165_HEALTH_EMERGENCIES;WB_2166_HEALTH_EMERGENCY_PREPAREDNESS_AND_DISASTER_RESPONSE;WB_621_HEALTH_NUTRITION_AND_POPUL... | TAX_FNCACT_ANALYST,147;EPU_ECONOMY_HISTORIC,139;TAX_ECON_PRICE,49;TAX_ECON_PRICE,298;TAX_ECON_PRICE,386;TAX_ECON_PRICE,538;GENERAL_HEALTH,285;HEALTH_PANDEMIC,285;WB_635_PUBLIC_HEALTH,285;WB_2165_HEALTH_EMERGENCIES,285;WB_2166_HEALTH_EMERGENCY_PREPAREDNESS_AND_DISASTER_RESPONSE,285;WB_621_HEALTH_NUTRITION_AND_POPULATION... | 3#Honolulu, Hawaii, United States#US#USHI#21.3069#-157.858#366212;2#Oklahoma, United States#US#USOK#35.5376#-96.9247#OK | 2#Oklahoma, United States#US#USOK##35.5376#-96.9247#OK#517;3#Honolulu, Hawaii, United States#US#USHI#HI003#21.3069#-157.858#366212#452 | null | null | null | null | -2.94117647058824,0,2.94117647058824,2.94117647058824,25.4901960784314,0,92 | null | wc:92,c1.2:1,c12.1:9,c12.10:4,c12.11:1,c12.12:2,c12.13:1,c12.2:1,c12.3:3,c12.5:5,c12.6:1,c12.7:4,c12.8:1,c12.9:5,c14.1:5,c14.10:2,c14.11:7,c14.2:2,c14.3:3,c14.5:4,c15.69:1,c16.100:3,c16.102:1,c16.106:4,c16.109:5,c16.110:11,c16.111:1,c16.114:6,c16.116:5,c16.117:2,c16.118:6,c16.12:4,c16.120:1,c16.121:1,c16.124:1,c16.125:... | null | Trilby Lundberg,186;Lundberg Survey,209 | 15,cents per gallon,73;3,weeks,111;12,cents lower than it,278; |
20200316000000-5 | 20200316000000 | 1 | thebatavian.com | https://www.thebatavian.com/billie-owens/tops-changes-hours-to-6-am-to-11-pm-in-order-to-restock-and-maintain-increased | null | null | SANITATION;WB_137_WATER;WB_139_SANITATION_AND_WASTEWATER;WB_2000_SANITATION;WB_1199_WATER_SUPPLY_AND_SANITATION;CRISISLEX_C06_WATER_SANITATION; | SANITATION,341;WB_137_WATER,341;WB_139_SANITATION_AND_WASTEWATER,341;WB_2000_SANITATION,341;WB_1199_WATER_SUPPLY_AND_SANITATION,341;CRISISLEX_C06_WATER_SANITATION,341; | null | null | le roy | Le Roy,91 | friendly | Friendly,31 | 0,0.970873786407767,0.970873786407767,1.94174757281553,24.2718446601942,6.79611650485437,92 | null | wc:92,c12.1:9,c12.10:8,c12.12:3,c12.13:4,c12.14:2,c12.3:4,c12.4:2,c12.5:6,c12.7:7,c12.8:5,c12.9:7,c13.12:1,c14.1:5,c14.10:7,c14.11:8,c14.2:9,c14.3:7,c14.4:1,c14.5:8,c15.102:1,c15.110:1,c15.12:1,c15.120:1,c15.126:1,c15.129:1,c15.137:1,c15.168:1,c15.173:2,c15.229:1,c15.260:1,c15.267:1,c15.3:1,c15.34:1,c15.39:1,c15.50:1,c... | null | Friendly Markets,40;Genesee County,65 | null |
20200316000000-6 | 20200316000000 | 1 | iheart.com | https://1440wgig.iheart.com/content/2020-03-15-glynn-schools-to-go-online-learning-wednesday/ | null | null | TAX_DISEASE;TAX_DISEASE_ANTICIPATION;LEADER;TAX_FNCACT;TAX_FNCACT_GOVERNOR;EDUCATION;WB_470_EDUCATION;SOC_POINTSOFINTEREST;SOC_POINTSOFINTEREST_SCHOOL;TAX_FNCACT_ADMINISTRATOR;TAX_FNCACT_SYSTEM_ADMINISTRATOR;TAX_FNCACT_TEACHER;WB_678_DIGITAL_GOVERNMENT;WB_2943_SWITCHES;WB_667_ICT_INFRASTRUCTURE;WB_672_NETWORK_MANAGEMEN... | SOC_POINTSOFINTEREST_SCHOOL,231;SOC_POINTSOFINTEREST_SCHOOL,300;SOC_POINTSOFINTEREST_SCHOOL,340;SOC_POINTSOFINTEREST_SCHOOL,561;SOC_POINTSOFINTEREST_SCHOOL,914;EDUCATION,115;WB_470_EDUCATION,115;TAX_DISEASE_ANTICIPATION,15;TAX_DISEASE_ANTICIPATION,895;TAX_FNCACT_TEACHER,389;TAX_FNCACT_ADMINISTRATOR,321;TAX_FNCACT_SYSTE... | null | null | null | null | lunch program;glynn county school system | Lunch Program,622;Glynn County School System,307 | 1.05820105820106,1.05820105820106,0,1.05820105820106,31.7460317460317,0.529100529100529,180 | null | wc:180,c12.1:13,c12.10:14,c12.12:2,c12.13:3,c12.14:10,c12.3:9,c12.4:2,c12.5:11,c12.7:11,c12.8:4,c12.9:21,c13.12:3,c14.1:17,c14.10:14,c14.11:20,c14.2:15,c14.3:15,c14.5:21,c14.6:1,c14.7:1,c15.10:2,c15.11:2,c15.110:1,c15.113:2,c15.118:1,c15.20:2,c15.214:2,c15.260:1,c15.34:1,c15.50:1,c15.58:2,c15.97:1,c16.1:1,c16.100:6,c16... | null | Glynn County Board,108;Glynn County School System,314;Reduced Lunch Program,637;Brunswick High,883 | 3,schools will be open,541; |
20200316000000-7 | 20200316000000 | 1 | americanpress.com | https://www.americanpress.com/news/business/virus-brings-new-travel-restrictions-lockdowns-and-closures/article_5324a943-85c8-5c80-b803-752dc6dabcb8.html | KILL#368##1#Italy#IT#IT#42.833333#12.833333#IT;KILL#6##1#China#CH#CH#35#105#CH;CRISISLEX_T03_DEAD#6##1#China#CH#CH#35#105#CH;KILL#288##1#Spain#SP#SP#40#-4#SP;KILL#91##4#Berlin, Berlin, Germany#GM#GM16#52.5167#13.4#-1746443;KILL#11##1#Germany#GM#GM#51.5#10.5#GM;KILL#724##4#World Health Organization, Al Qahirah, Egypt#EG... | KILL#368##1#Italy#IT#IT#42.833333#12.833333#IT#288;KILL#6##1#China#CH#CH#35#105#CH#1860;CRISISLEX_T03_DEAD#6##1#China#CH#CH#35#105#CH#1860;KILL#288##1#Spain#SP#SP#40#-4#SP#5484;KILL#91##4#Berlin, Berlin, Germany#GM#GM16#52.5167#13.4#-1746443#6499;KILL#11##1#Germany#GM#GM#51.5#10.5#GM#6842;KILL#724##4#World Health Organ... | BORDER;TAX_DISEASE;TAX_DISEASE_CORONAVIRUS;GENERAL_HEALTH;HEALTH_PANDEMIC;WB_635_PUBLIC_HEALTH;WB_2165_HEALTH_EMERGENCIES;WB_2166_HEALTH_EMERGENCY_PREPAREDNESS_AND_DISASTER_RESPONSE;WB_621_HEALTH_NUTRITION_AND_POPULATION;WB_2167_PANDEMICS;UNGP_HEALTHCARE;KILL;TAX_FNCACT;TAX_FNCACT_POPE;TAX_RELIGION;TAX_RELIGION_CHURCHE... | UNGP_EDUCATION,9295;KILL,268;KILL,337;KILL,5547;KILL,6509;KILL,6852;KILL,8665;TAX_DISEASE_INFECTIOUS_DISEASE,2407;WB_1415_COMMUNICABLE_DISEASE,2407;TAX_FNCACT_TOURIST,5455;TAX_FNCACT_PRIME_MINISTER,5104;POLITICAL_TURMOIL,5042;STATE_OF_EMERGENCY,5042;ELECTION,6555;ELECTION,6905;TAX_RELIGION_MUSLIM,662;TAX_RELIGION_MUSLI... | 4#Jerusalem, Israel (General), Israel#IS#IS00#31.7667#35.2333#-797092;1#Mauritania#MR#MR#20#-12#MR;1#United States#US#US#39.828175#-98.5795#US;1#United Kingdom#UK#UK#54#-4#UK;4#Paris, France (General), France#FR#FR00#48.8667#2.33333#-1456928;4#Madrid, Madrid, Spain#SP#SP29#40.4#-3.68333#-390625;1#China#CH#CH#35#105#CH;... | 4#Amsterdam, Noord-Holland, Netherlands#NL#NL07#22373#52.35#4.91667#-2140479#5821;1#Montenegro#MJ#MJ##42.5#19.3#MJ#7649;1#Americans#US#US##39.828175#-98.5795#US#863;1#Americans#US#US##39.828175#-98.5795#US#2436;1#Turkey#TU#TU##39.059012#34.911546#TU#5952;1#America#US#US##39.828175#-98.5795#US#2384;1#France#FR#FR##46#2#... | matt hancock;horst seehofer;andrew taylor;yanan wang;anthony fauci;sebastian kurz;roberto rona;sylvie corbet;las ramblas;iain sullivan;tammy duckworth;pope francis;geir moulson;jim gomez;dalia samhouri | Matt Hancock,7497;Horst Seehofer,7099;Andrew Taylor,8973;Yanan Wang,8939;Anthony Fauci,2560;Sebastian Kurz,1281;Roberto Rona,3755;Sylvie Corbet,8909;Las Ramblas,5402;Iain Sullivan,8876;Tammy Duckworth,3516;Pope Francis,433;Pope Francis,4083;Geir Moulson,8841;Jim Gomez,9016;Dalia Samhouri,8378 | national institutes of health;spain health ministry;world health organization;associated press;federal reserve | National Institutes Of Health,2597;Spain Health Ministry,5506;World Health Organization,8435;Associated Press,8820;Associated Press,9175;Federal Reserve,3008 | -5.0550874918989,1.36098509397278,6.41607258587168,7.77705767984446,20.349967595593,0.453661697990927,1362 | 4#4#5#0#4712;4#4#12#0#4791;4#4#6#0#5806 | wc:1362,c1.2:3,c1.4:4,c12.1:93,c12.10:132,c12.12:54,c12.13:37,c12.14:46,c12.2:2,c12.3:43,c12.4:10,c12.5:47,c12.6:2,c12.7:86,c12.8:44,c12.9:84,c13.11:3,c13.12:2,c13.14:2,c13.2:3,c13.3:3,c13.4:6,c13.6:1,c13.7:1,c14.1:67,c14.10:41,c14.11:124,c14.2:65,c14.3:78,c14.4:25,c14.5:133,c14.6:1,c14.7:42,c14.8:4,c14.9:19,c15.10:1,c... | null | Pope Francis,454;Al-Aqsa Mosque,728;Old City,751;Holy Week,828;Chancellor Sebastian Kurz,1299;South Korea,2025;Anthony Fauci,2680;National Institutes,2707;York City,2891;Federal Reserve,3152;Tammy Duckworth,3676;Roberto Rona,3944;Transport Ministry,4029;Pope Francis,4277;Mary Major Basilica,4309;Matteo Bruni,4409;Holy ... | 2,churches,398;2,weeks #x2014,1225;2,pub industry groups had,1319;800,infections,1950;1000000,children home,2398;700000000000,dollars ,2619;10000,of thousands,4117;288,deaths,4651;136,on Saturday,4667;500,infections,5441;91,deaths,5456;400,cases,5748;11,deaths,5758;2,weeks,6381;25,of Africa 54 countries,6618;54,countri... |
20200316000000-8 | 20200316000000 | 1 | 1057news.com | http://1057news.com/2020/03/15/14/24/13/39-confirmed-cases-of-coronavirus-in-tennessee-march-15-2020/ | null | null | GENERAL_HEALTH;MEDICAL;TAX_DISEASE;TAX_DISEASE_CORONAVIRUS;UNGP_FORESTS_RIVERS_OCEANS; | UNGP_FORESTS_RIVERS_OCEANS,582;GENERAL_HEALTH,34;GENERAL_HEALTH,473;MEDICAL,34;MEDICAL,473;TAX_DISEASE_CORONAVIRUS,126;TAX_DISEASE_CORONAVIRUS,401; | 2#Tennessee, United States#US#USTN#35.7449#-86.7489#TN | 2#Tennessee, United States#US#USTN##35.7449#-86.7489#TN#13;2#Tennessee, United States#US#USTN##35.7449#-86.7489#TN#436;2#Tennessee, United States#US#USTN##35.7449#-86.7489#TN#452 | null | null | tennessee department of health | Tennessee Department Of Health,34;Tennessee Department Of Health,473 | -1.22699386503067,1.84049079754601,3.06748466257669,4.9079754601227,22.0858895705521,0.613496932515337,114 | null | wc:114,c12.1:5,c12.10:4,c12.12:2,c12.13:1,c12.14:1,c12.3:1,c12.4:1,c12.5:3,c12.7:2,c12.8:1,c12.9:4,c13.12:2,c13.2:1,c13.3:1,c13.9:1,c14.1:3,c14.10:3,c14.11:7,c14.2:5,c14.3:7,c14.4:3,c14.5:16,c14.7:4,c14.9:2,c15.123:1,c15.196:1,c15.251:1,c15.4:1,c16.1:1,c16.100:2,c16.101:2,c16.106:4,c16.109:3,c16.110:13,c16.111:2,c16.11... | null | Tennessee Department,25;Tennessee Department,462 | 39,total confirmed cases of,75; |
20200316000000-9 | 20200316000000 | 1 | hotrod.com | https://www.hotrod.com/articles/1952-chevy-patina-truck/ | null | null | MANMADE_DISASTER_IMPLIED; | MANMADE_DISASTER_IMPLIED,43;MANMADE_DISASTER_IMPLIED,125;MANMADE_DISASTER_IMPLIED,889; | 2#Arizona, United States#US#USAZ#33.7712#-111.388#AZ;1#Canada#CA#CA#60#-96#CA | 2#Arizona, United States#US#USAZ##33.7712#-111.388#AZ#226;1#Canada#CA#CA##60#-96#CA#3902;1#Canada#CA#CA##60#-96#CA#3929;1#Canada#CA#CA##60#-96#CA#3956;1#Canada#CA#CA##60#-96#CA#3983;1#Canada#CA#CA##60#-96#CA#4010;1#Canada#CA#CA##60#-96#CA#4037 | kevin whippsauthor;craig gacom;hot rod | Kevin Whippsauthor,18;Craig Gacom,139;Hot Rod,54 | null | null | -0.403225806451613,1.20967741935484,1.61290322580645,2.82258064516129,21.6397849462366,0.403225806451613,659 | 2#8#0#2012#106;1#0#0#1951#638;1#0#0#1952#1172;1#0#0#1952#2925;1#0#0#1956#3704;1#0#0#2006#3757 | wc:659,c1.1:1,c12.1:30,c12.10:60,c12.12:14,c12.13:19,c12.14:29,c12.3:12,c12.4:5,c12.5:13,c12.7:26,c12.8:24,c12.9:36,c13.1:2,c13.10:1,c13.12:2,c13.2:1,c13.3:1,c13.4:2,c13.7:15,c13.9:1,c14.1:31,c14.10:16,c14.11:44,c14.2:38,c14.3:45,c14.4:12,c14.5:70,c14.6:2,c14.7:11,c14.8:3,c14.9:9,c15.10:2,c15.102:1,c15.103:1,c15.105:1,... | null | Classic Trucks,57;Classic Trucks,138;Craig Gacom,153;Truck Build,3099;American Racing Custom Torq-Thrust,3238;Chevrolet Hugger,3813;Week To Wicked,3959;Week To Wicked,4017;Day Three,4032;Week To Wicked,4068;Jamboree Canada,4103;Jamboree Canada,4129;Jamboree Canada,4155;Jamboree Canada,4181;Jamboree Canada,4207;Jamboree... | 350,automatic transmission,2794;3,Update,3172; |
20200316000000-10 | 20200316000000 | 1 | theintelligencer.com | https://www.theintelligencer.com/news/us/article/Fed-statement-Sunday-announcing-emergency-action-15133022.php | null | null | EPU_POLICY;EPU_POLICY_FEDERAL_RESERVE;EPU_CATS_MONETARY_POLICY;CRISISLEX_CRISISLEXREC;USPEC_POLICY1;EPU_ECONOMY;EPU_ECONOMY_HISTORIC;TAX_DISEASE;TAX_DISEASE_CORONAVIRUS;TAX_DISEASE_OUTBREAK;WB_635_PUBLIC_HEALTH;WB_2165_HEALTH_EMERGENCIES;WB_2166_HEALTH_EMERGENCY_PREPAREDNESS_AND_DISASTER_RESPONSE;WB_621_HEALTH_NUTRITIO... | ECON_WORLDCURRENCIES_DOLLAR,4459;WB_696_PUBLIC_SECTOR_MANAGEMENT,1104;WB_2048_COMPENSATION_CAREERS_AND_INCENTIVES,1104;WB_723_PUBLIC_ADMINISTRATION,1104;WB_724_HUMAN_RESOURCES_FOR_PUBLIC_SECTOR,1104;EPU_POLICY_FEDERAL_RESERVE,76;EPU_POLICY_FEDERAL_RESERVE,2687;EPU_POLICY_FEDERAL_RESERVE,3290;EPU_POLICY_FEDERAL_RESERVE,... | 1#United States#US#US#39.828175#-98.5795#US;3#Washington, Washington, United States#US#USDC#38.8951#-77.0364#531871 | 1#United States#US#US##39.828175#-98.5795#US#25;1#United States#US#US##39.828175#-98.5795#US#307;3#Washington, Washington, United States#US#USDC#DC001#38.8951#-77.0364#531871#10 | neel kashkari;richard h clarida;jerome h powell;robert s kaplan;michelle w bowman;lael brainard;randal k quarles;patrick harker;john c williams;loretta j mester | Neel Kashkari,3824;Lael Brainard,3751;Patrick Harker,3789 | market committee;federal reserve;united states | Market Committee,542;Federal Reserve,76;Federal Reserve,2687;Federal Reserve,3290;Federal Reserve,4256;Federal Reserve,4546;United States,25;United States,307 | 0.988700564971752,3.67231638418079,2.68361581920904,6.35593220338983,23.1638418079096,0,640 | null | wc:640,c1.2:15,c12.1:34,c12.10:63,c12.12:16,c12.13:18,c12.14:33,c12.3:16,c12.4:4,c12.5:24,c12.7:29,c12.8:21,c12.9:52,c13.1:1,c13.10:1,c13.12:3,c14.1:59,c14.10:28,c14.11:81,c14.2:58,c14.3:48,c14.4:5,c14.5:86,c14.6:2,c14.7:18,c14.9:11,c15.102:2,c15.143:1,c15.148:1,c15.175:1,c15.215:1,c15.227:1,c15.229:1,c15.233:1,c15.251... | null | Federal Reserve,60;Federal Open Market Committee,533;Federal Reserve,2791;Federal Reserve,3414;Open Market Desk,3554;Vice Chair,3860;Lael Brainard,3900;Patrick Harker,3941;Neel Kashkari,3979;Federal Reserve,4437;Federal Reserve Board,4750 | 500000000000,dollars ,2681;200000000000,dollars ,2754; |
20200316000000-11 | 20200316000000 | 1 | ehfcl.com | http://www.ehfcl.com/en/women/News/jTqw1ziBg2_p1q7iJ5LqLQ/Rostov_too_strong_for_FTC%3b_Neagu_propels_CSM_to_closing_win | null | null | null | null | 1#Norway#NO#NO#62#10#NO;4#Kristiansand, Vest-Agder, Norway#NO#NO19#58.1667#8#-266857;1#Russia#RS#RS#60#100#RS;4#Rostov, Rostovskaya Oblast', Russia#RS#RS61#47.2364#39.7139#-2993218 | 1#Russian#RS#RS##60#100#RS#366;1#Russian#RS#RS##60#100#RS#1709;4#Kristiansand, Vest-Agder, Norway#NO#NO19#23539#58.1667#8#-266857#534;4#Kristiansand, Vest-Agder, Norway#NO#NO19#23539#58.1667#8#-266857#2756;4#Rostov, Rostovskaya Oblast', Russia#RS#RS61#25090#47.2364#39.7139#-2993218#7;4#Rostov, Rostovskaya Oblast', Russ... | kseniya makeeva;mayssa pessoa;anna sen;adrian vasile;noemi hafra;blanka biro;gustav gjekstad;ole gustav gjekstad;sergey nikolaev;ambros martin;jelena grubisic;anna vyakhireva;denisa dedu;katrin klujber;zsofia szemerey;cristina neagu | Kseniya Makeeva,1670;Mayssa Pessoa,1590;Anna Sen,2208;Adrian Vasile,3485;Noemi Hafra,1328;Blanka Biro,1926;Gustav Gjekstad,3792;Ole Gustav Gjekstad,3792;Sergey Nikolaev,4202;Ambros Martin,2598;Jelena Grubisic,3657;Anna Vyakhireva,1652;Denisa Dedu,4078;Katrin Klujber,1781;Zsofia Szemerey,1963;Cristina Neagu,1137;Cristin... | champions league | Champions League,132;Champions League,681;Champions League,1029 | 1.42302716688228,4.01034928848642,2.58732212160414,6.59767141009056,23.4152652005175,1.42302716688228,677 | null | wc:677,c1.1:1,c12.1:43,c12.10:74,c12.12:35,c12.13:14,c12.14:31,c12.3:11,c12.4:6,c12.5:30,c12.7:41,c12.8:18,c12.9:52,c13.10:1,c13.14:2,c14.1:51,c14.10:40,c14.11:97,c14.2:48,c14.3:55,c14.4:9,c14.5:91,c14.6:1,c14.7:25,c14.8:3,c14.9:14,c15.102:2,c15.103:2,c15.106:1,c15.110:3,c15.113:1,c15.116:1,c15.120:1,c15.122:1,c15.123:... | null | Rail Cargo Hungaria,198;Vipers Kristiansand,524;Champions League,1042;Rail Cargo Hungaria,1249;Noemi Hafra,1344;Anna Vyakhireva,1669;Kseniya Makeeva,1689;Katrin Klujber,1809;Blanka Biro,1974;Zsofia Szemerey,2014;Anna Sen,2256;Vipers Kristiansand,2848;Cristina Neagu,3302;Adrian Vasile,3612;Jelena Grubisic,3794;Ole Gusta... | 5,previous DELO WOMEN,67;2,teams,129;4,for CSM,493;13,points #xA0,642;11,points,725;5,points,777;6,matches,876;10,goals for CSM,963;3,midway through the first,1258;9,lead at half,1407;6,goals,1537;3,goals,1905;11,players,2484;14,times,2670;10,times,2728;3,by the 12th minute,3035;6,goals,3408; |
20200316000000-12 | 20200316000000 | 1 | marketwatch.com | https://www.marketwatch.com/story/biden-sanders-debate-as-coronavirus-remakes-life-across-us-live-blog-2020-03-15 | null | null | LEADER;TAX_FNCACT;TAX_FNCACT_PRESIDENT;USPEC_POLITICS_GENERAL1;TAX_FNCACT_VICE_PRESIDENT;TAX_DISEASE;TAX_DISEASE_CORONAVIRUS;ECON_STOCKMARKET;EPU_POLICY;EPU_POLICY_FEDERAL_RESERVE;EPU_CATS_MONETARY_POLICY;ECON_INTEREST_RATES;EPU_POLICY_INTEREST_RATES; | ECON_INTEREST_RATES,343;EPU_POLICY_INTEREST_RATES,343;LEADER,21;TAX_FNCACT_PRESIDENT,21;USPEC_POLITICS_GENERAL1,21;EPU_POLICY_FEDERAL_RESERVE,297;EPU_CATS_MONETARY_POLICY,297;TAX_FNCACT_VICE_PRESIDENT,21;TAX_DISEASE_CORONAVIRUS,141;ECON_STOCKMARKET,189; | 3#Washington, Washington, United States#US#USDC#38.8951#-77.0364#531871 | 3#Washington, Washington, United States#US#USDC#DC001#38.8951#-77.0364#531871#83 | joe biden;bernie sanders | Joe Biden,31;Bernie Sanders,53 | federal reserve | Federal Reserve,297 | -4.34782608695652,1.08695652173913,5.43478260869565,6.52173913043478,26.0869565217391,0,80 | null | wc:80,c12.1:7,c12.10:7,c12.12:4,c12.13:1,c12.14:2,c12.3:4,c12.4:1,c12.5:3,c12.7:8,c12.8:2,c12.9:4,c13.12:1,c13.14:1,c14.1:7,c14.10:4,c14.11:10,c14.2:8,c14.3:9,c14.4:1,c14.5:10,c14.7:2,c14.8:2,c14.9:3,c15.103:1,c15.197:1,c15.211:1,c15.252:1,c15.254:1,c15.27:1,c15.50:1,c15.77:1,c16.100:1,c16.101:2,c16.106:1,c16.109:1,c16... | null | Former Vice President Joe Biden,32;Bernie Sanders,56;Washington Sunday,93;Federal Reserve,293 | 1000000000,of dollars,301; |
20200316000000-13 | 20200316000000 | 1 | etcanada.com | https://etcanada.com/news/608949/ariana-grande-urges-fans-not-to-take-coronavirus-precautions-lightly/ | null | null | TAX_WORLDLANGUAGES;TAX_WORLDLANGUAGES_ARIANA;TAX_DISEASE;TAX_DISEASE_CORONAVIRUS;TAX_FNCACT;TAX_FNCACT_SINGER;MEDIA_SOCIAL;GENERAL_HEALTH;HEALTH_PANDEMIC;WB_635_PUBLIC_HEALTH;WB_2165_HEALTH_EMERGENCIES;WB_2166_HEALTH_EMERGENCY_PREPAREDNESS_AND_DISASTER_RESPONSE;WB_621_HEALTH_NUTRITION_AND_POPULATION;WB_2167_PANDEMICS;U... | CRISISLEX_CRISISLEXREC,275;TAX_FNCACT_SENATORS,1937;TAX_FNCACT_SENATORS,2714;USPEC_POLITICS_GENERAL1,1937;USPEC_POLITICS_GENERAL1,2714;UNGP_SUPPORT_FOR_PEOPLE_WHO_CANT_WORK,1687;TAX_DISEASE_INFECTION,1499;TAX_DISEASE_INFECTION,2548;WB_1648_SICK_LEAVE,1687;WB_752_CONTRIBUTORY_BENEFITS,1687;WB_751_SOCIAL_INSURANCE,1687;W... | 3#Hollywood, California, United States#US#USCA#34.0983#-118.327#1660757 | 3#Hollywood, California, United States#US#USCA#CA037#34.0983#-118.327#1660757#2994 | ariana grande;ariana grande arianagrande | Ariana Grande,13;Ariana Grande,2356;Ariana Grande,2599;Ariana Grande,2868;Ariana Grande Arianagrande,2369;Ariana Grande Arianagrande,2612;Ariana Grande Arianagrande,2881 | null | null | -2.17785843920145,4.71869328493648,6.89655172413793,11.6152450090744,28.8566243194192,1.81488203266788,497 | null | wc:497,c12.1:64,c12.10:67,c12.12:27,c12.13:18,c12.14:28,c12.3:25,c12.4:10,c12.5:32,c12.7:47,c12.8:25,c12.9:45,c13.2:2,c14.1:43,c14.10:25,c14.11:54,c14.2:47,c14.3:61,c14.4:14,c14.5:106,c14.6:3,c14.7:14,c14.8:2,c14.9:6,c15.10:3,c15.102:5,c15.103:3,c15.105:1,c15.11:1,c15.110:5,c15.111:1,c15.112:4,c15.116:3,c15.120:1,c15.1... | 2196|29||well some of us have to work! | Ariana Grande,14;Ariana Grande,2492;Ariana Grande,2768;Ariana Grande,3084 | 7,Rings,94; |
20200316000000-14 | 20200316000000 | 1 | wmtram.com | https://wmtram.com/2020/03/15/coronavirus-testing-labs-across-the-country-will-open-this-week-according-to-trump-press-conference/ | KILL#61##3#Washington, District Of Columbia, United States#US#USDC#38.8951#-77.0364#531871;KILL#61##3#Washington, District Of Columbia, United States#US#USDC#38.8951#-77.0364#531871;KILL#61##3#Washington, District Of Columbia, United States#US#USDC#38.8951#-77.0364#531871;CRISISLEX_CRISISLEXREC#61##3#Washington, Distri... | KILL#61##3#Washington, District Of Columbia, United States#US#USDC#38.8951#-77.0364#531871#271;KILL#61##3#Washington, District Of Columbia, United States#US#USDC#38.8951#-77.0364#531871#271;KILL#61##3#Washington, District Of Columbia, United States#US#USDC#38.8951#-77.0364#531871#271;CRISISLEX_CRISISLEXREC#61##3#Washin... | LEADER;TAX_FNCACT;TAX_FNCACT_PRESIDENT;USPEC_POLITICS_GENERAL1;WB_678_DIGITAL_GOVERNMENT;WB_694_BROADCAST_AND_MEDIA;WB_133_INFORMATION_AND_COMMUNICATION_TECHNOLOGIES;MEDIA_MSM;EPU_POLICY;EPU_POLICY_WHITE_HOUSE;TAX_DISEASE;TAX_DISEASE_CORONAVIRUS;CRISISLEX_CRISISLEXREC;CRISISLEX_T03_DEAD;KILL;CRISISLEX_T01_CAUTION_ADVIC... | SHORTAGE,1711;EPU_POLICY_FEDERAL_RESERVE,1394;EPU_CATS_MONETARY_POLICY,1394;TAX_WORLDMAMMALS_HUMAN,895;TAX_FNCACT_VICE_PRESIDENT,1956;MEDIA_MSM,107;WB_678_DIGITAL_GOVERNMENT,107;WB_694_BROADCAST_AND_MEDIA,107;WB_133_INFORMATION_AND_COMMUNICATION_TECHNOLOGIES,107;CRISISLEX_CRISISLEXREC,281;TAX_ETHNICITY_AMERICANS,1983;K... | 2#New York, United States#US#USNY#42.1497#-74.9384#NY;1#United States#US#US#39.828175#-98.5795#US;3#Washington, Washington, United States#US#USDC#38.8951#-77.0364#531871;3#White House, District Of Columbia, United States#US#USDC#38.8951#-77.0364#531871 | 1#Americans#US#US##39.828175#-98.5795#US#1983;2#New York, United States#US#USNY##42.1497#-74.9384#NY#1540;3#White House, District Of Columbia, United States#US#USDC#DC001#38.8951#-77.0364#531871#153;3#White House, District Of Columbia, United States#US#USDC#DC001#38.8951#-77.0364#531871#473;1#American#US#US##39.828175#... | donald trump;brett giroir;mike pence | Donald Trump,87;Brett Giroir,845;Mike Pence,1967 | white house;federal reserve;adm;united states;new york times;department of health;human service;life care center | White House,153;White House,473;Federal Reserve,1394;Adm,831;United States,41;United States,186;United States,210;United States,410;New York Times,1546;Department Of Health,887;Human Service,903;Life Care Center,370 | 0.266666666666667,2.4,2.13333333333333,4.53333333333333,24.2666666666667,1.33333333333333,345 | 4#3#15#0#35 | wc:345,c12.1:32,c12.10:31,c12.12:7,c12.13:9,c12.14:17,c12.3:14,c12.4:4,c12.5:19,c12.7:21,c12.8:11,c12.9:34,c13.1:1,c13.11:1,c14.1:23,c14.10:15,c14.11:35,c14.2:22,c14.3:27,c14.4:4,c14.5:36,c14.6:1,c14.7:6,c14.8:3,c14.9:3,c15.103:2,c15.106:1,c15.116:2,c15.125:1,c15.126:1,c15.137:1,c15.165:1,c15.166:1,c15.167:1,c15.172:1,... | null | President Trump,16;Donald Trump,67;White House,133;United States,196;Life Care Center,370;White House,474;Brett Giroir,907;Human Service,970;President Trump,1457;Federal Reserve,1490;New York,1668;President Trump,1691;President Mike Pence,2127 | 25,of the deaths associated,246;10000,of thousands,609;100000,of thousands of individuals,630;2000000,tests will be available,841;10,states now have drive,882; |
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Dataset Card for dwb2023/gdelt-gkg-march2020
Dataset Details
Dataset Description
This dataset contains GDELT Global Knowledge Graph (GKG) data for March 16-22, 2020, capturing the complex network of events, actors, and relationships during a critical week of the COVID-19 pandemic. The data structure supports temporal, spatial, and contextual queries across multiple dimensions of global crisis response.
- Curated by: dwb2023
- Language(s): Multilingual (primary English with machine translations)
- License: Creative Commons Attribution 4.0 International License (CC BY 4.0)
Competency Questions Support
The dataset structure supports answering complex queries such as:
Temporal Evolution:
- "How did air cargo disruptions evolve over the week of March 16-22?"
- "What were the cascading effects of specific airport closures?"
Actor Relationships:
- "Which organizations were involved in coordinating PPE shipments?"
- "How did different stakeholders respond to supply chain bottlenecks?"
Geographical Patterns:
- "Where did major transportation bottlenecks emerge?"
- "How did regional responses differ across continents?"
Event Causality:
- "What were the immediate effects of border closure announcements?"
- "How did policy changes impact cargo movement?"
Dataset Structure
Field Categories and Relationships
- this is a learning exercise to confirm the ability of the GKG data to answer the competency questions in the last column
| Field | Version Notes | Category | Intent | Source Type | Description | Example Competency Questions |
|---|---|---|---|---|---|---|
| Identity & Metadata | ||||||
| GKGRECORDID | Core Field | Identity | Record Tracking | System Generated | Unique identifier (YYYYMMDDHHMMSS-X) | "Find all events from a specific 15-minute window" |
| DATE | Latest Version | Temporal | Chronological Ordering | Publication | Publication timestamp | "What was the sequence of announcements about border closures?" |
| SourceCollectionIdentifier | Core Field | Provenance | Source Validation | System | Type of source (1=web, 2=citation) | "Which sources first reported specific disruptions?" |
| SourceCommonName | Core Field | |||||
| DocumentIdentifier | Core Field | |||||
| Event Description | ||||||
| V1Counts | Original GKG 1.0 | Quantitative | Event Scale | Content Analysis | Numeric mentions (protesters, casualties) | "How many flights were cancelled at specific hubs?" |
| V2.1Counts | Latest Version (Feb 2015) | Quantitative | Event Context | Enhanced Analysis | Counts with positional context and location | "What was the scale of disruption at different locations?" |
| V2.1Amounts | Latest Version | Quantitative | Resource Tracking | Content Analysis | Numeric amounts with context | "What were the reported PPE shipment volumes?" |
| Geographic Context | ||||||
| V1Locations | Original GKG 1.0 | Spatial | Geographic Reference | Location Analysis | Basic location extraction | "Where were the major supply chain disruptions?" |
| V2EnhancedLocations | Version 2.0 | Spatial | Geographic Context | Enhanced Analysis | Locations with proximity context | "How did disruptions spread geographically?" |
| Actor Network | ||||||
| V1Persons | Original GKG 1.0 | Entity | Actor Identification | Name Recognition | Person name extraction | "Who were the key decision makers?" |
| V1Organizations | Original GKG 1.0 | Entity | Organization Tracking | Name Recognition | Organization extraction | "Which agencies coordinated responses?" |
| V2EnhancedPersons | Version 2.0 | Entity | Actor Context | Enhanced Analysis | Persons with role context | "What roles did specific actors play?" |
| V2EnhancedOrganizations | Version 2.0 | Entity | Organization Context | Enhanced Analysis | Organizations with relationship context | "How did organizations collaborate?" |
| Thematic Analysis | ||||||
| V1Themes | Original GKG 1.0 | Semantic | Topic Classification | Theme Detection | Basic theme categorization | "What were the main types of disruptions?" |
| V2EnhancedThemes | Version 2.0 | Semantic | Theme Context | Enhanced Analysis | Themes with relationships | "How did different issues interconnect?" |
| V1.5Tone | Incremental Update | Sentiment | Emotional Context | Tone Analysis | Six emotional dimensions plus word count | "How did response sentiment change over time?" |
| Enhanced Context | ||||||
| V2GCAM | Version 2.0 | Analytical | Deep Content Analysis | ML Analysis | 2,300+ content dimensions | "What were the underlying patterns in coverage?" |
| V2.1EnhancedDates | Latest Version | Temporal | Time Reference | Date Analysis | Referenced dates and context | "What future events were being planned?" |
| V2.1Quotations | Latest Version | Attribution | Direct Evidence | Quote Extraction | Attributed statements | "How did stakeholders explain their decisions?" |
Ontological Relationships
The dataset supports three primary types of relationships:
Temporal Relationships:
- Event sequences
- Cause-effect chains
- Response timelines
Spatial Relationships:
- Geographic clustering
- Spread patterns
- Regional interconnections
Actor Relationships:
- Organizational networks
- Response coordination
- Stakeholder interactions
Attribution
This dataset contains data from the GDELT Project (https://www.gdeltproject.org).
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