id,name,description,createdAt,updatedAt,namespace,isPrivate,createdByUserId,metadataEditedAt,metadataEditedByUserId,dataEditedAt,dataEditedByUserId,nonRedistributable,isArchived,sourceChecksum,shortName,version,updatePeriodDays
5872,Metaculus - Complementary data,,2023-01-27 11:12:58,2023-02-20 13:05:21,owid,1,46,2023-01-27 11:12:58,46,2023-01-27 15:14:34,46,0,1,,,,
5869,Metaculus - Forecasting OWID,,2023-01-18 16:26:22,2023-02-20 13:05:36,owid,1,46,2023-01-27 10:33:14,46,2023-01-27 15:15:29,46,0,1,,,,
5852,Gravitational wave transients (GWOSC),https://github.com/owid/notebooks/tree/main/EdouardMathieu/gravitational_waves,2023-01-05 11:17:33,2023-01-05 11:17:33,owid,1,46,2023-01-05 11:18:32,46,2023-01-05 11:17:33,46,0,0,,,,
5835,Internet use in the US by age (Pew Research Center),,2022-12-20 15:13:04,2023-03-03 11:02:05,owid,0,46,2023-03-03 11:02:05,46,2022-12-20 15:13:04,46,0,0,,,,
5795,Same-sex marriage around the world - Pew Research Center,https://github.com/owid/notebooks/tree/main/EdouardMathieu/pew_gay_marriage,2022-10-10 10:43:55,2024-06-17 15:51:07,owid,1,46,2022-10-11 08:22:54,46,2022-10-10 12:08:29,46,0,1,,,,
5741,Income Classification - World Bank (2021),Updated version of the 2017 classification dataset,2022-08-30 04:02:29,2024-03-12 13:57:17,owid,0,65,2023-04-21 11:01:25,46,2023-04-21 11:01:25,65,0,1,,,,
5647,Global Terrorism Database,https://github.com/owid/notebooks/tree/main/EdouardMathieu/global_terrorism_database,2022-06-23 12:23:48,2023-08-09 18:18:51,owid,1,46,2023-03-14 10:19:28,46,2023-03-14 10:19:28,46,0,1,,,,
5643,Earth Impact Database - Top 20 craters by diameter,https://github.com/owid/notebooks/tree/main/EdouardMathieu/earth_impact_database,2022-06-13 16:30:23,2023-12-18 17:54:21,owid,1,46,2022-06-13 17:34:34,46,2022-06-13 21:16:28,46,0,1,,,,
5642,NASA - Exoplanets,https://github.com/owid/notebooks/tree/main/EdouardMathieu/exoplanets,2022-06-13 07:48:01,2023-06-09 12:59:59,owid,1,46,2023-01-05 09:04:39,46,2023-01-05 09:04:05,46,0,1,,,,
5641,Space-Track - Number of objects in space,https://github.com/owid/notebooks/tree/main/EdouardMathieu/space_track,2022-06-10 11:21:10,2023-06-12 09:13:59,owid,1,46,2023-01-05 09:12:27,46,2023-01-05 09:12:16,46,0,1,,,,
5640,CSIS - NASA budget history,https://github.com/owid/notebooks/tree/main/EdouardMathieu/aerospace_csis_datasets,2022-06-09 17:39:03,2022-06-09 17:39:03,owid,1,46,2022-06-13 17:17:31,46,2022-06-09 17:39:03,46,0,0,,,,
5639,CSIS - Cost of space launches,https://github.com/owid/notebooks/tree/main/EdouardMathieu/aerospace_csis_datasets,2022-06-09 16:08:31,2022-06-09 16:08:31,owid,1,46,2022-06-09 18:05:30,46,2022-06-09 16:08:31,46,0,0,,,,
5636,CSIS - Astronauts launched by year,https://github.com/owid/notebooks/tree/main/EdouardMathieu/aerospace_csis_datasets,2022-06-06 14:42:43,2023-03-03 10:52:03,owid,1,46,2023-03-03 10:52:04,46,2022-06-07 12:56:09,46,0,0,,,,
5622,YouGov - Dietary choices of Brits,https://github.com/owid/notebooks/tree/main/EdouardMathieu/yougov_dietary_choices,2022-05-09 16:01:17,2024-04-01 15:10:49,owid,1,46,2023-02-01 10:46:57,46,2023-05-30 15:06:56,46,0,1,,,,
5588,"Historical cost of computer memory and storage (John C. McCallum, 2022)",https://github.com/owid/notebooks/tree/main/EdouardMathieu/computer_memory_prices,2022-04-20 16:59:53,2023-04-21 15:55:57,owid,0,46,2023-04-21 15:55:58,46,2023-03-03 12:21:18,46,0,0,,,,
5573,Polio reported and estimated cases,https://github.com/owid/notebooks/blob/main/FionaSpooner/polio_cases/combine_polio_data.ipynb,2022-04-05 15:09:16,2023-04-21 10:44:31,owid,1,54,2023-04-21 10:44:31,46,2023-04-21 10:44:31,54,0,0,,,,
5547,COVID - Hong Kong vaccinations by age group & manufacturer,,2022-03-15 11:00:02,2023-05-18 13:28:30,owid,1,46,2022-03-15 11:00:02,46,2022-03-15 11:12:36,46,0,1,,,,
5545,(DO NOT USE) Russo-Ukrainian War refugees (UNHCR) - Grapher,,2022-03-02 15:36:50,2023-03-13 17:58:53,owid,1,46,2022-03-02 17:26:56,46,2022-03-10 15:00:13,46,0,1,,,,
5535,SIPRI Military Expenditure Database,https://github.com/owid/importers/tree/master/sipri,2022-02-25 11:15:22,2024-07-30 14:02:02,owid,1,46,2022-02-25 11:38:12,46,2022-02-25 11:38:12,46,0,1,,,,
5533,Military expenditure - OWID based on CoW & SIPRI,"WORK IN PROGRESS - DO NOT USE YET (Ed, 25 Feb 2022)",2022-02-24 14:09:03,2022-02-25 09:03:42,owid,1,46,2022-02-25 09:03:42,46,2022-02-25 09:03:42,46,0,1,,,,
5532,Correlates of War (CoW) - National Material Capabilities,https://github.com/owid/importers/tree/master/cow,2022-02-24 09:58:20,2024-07-30 14:08:00,owid,1,46,2022-02-25 09:03:13,46,2022-02-25 09:03:13,46,0,1,,,,
5527,"Methane emissions by sector (CAIT, 2021)",,2022-02-21 14:42:09,2022-04-11 13:54:25,owid,1,58,2022-04-11 13:54:25,46,2022-04-11 13:54:25,58,0,1,,,,
5524,"GHG Emissions by Country and Sector (CAIT, 2021)",,2022-02-21 14:14:26,2022-04-12 12:42:06,owid,1,58,2022-04-12 12:42:06,46,2022-04-12 12:42:06,58,0,1,,,,
5442,COVID-19 - Decoupling of metrics,,2022-01-10 11:40:57,2023-08-14 14:42:04,owid,1,46,2022-01-20 13:58:16,46,2023-08-10 01:25:58,46,0,1,,,,
5437,Near-Earth asteroids discovered over time,https://github.com/owid/notebooks/tree/main/EdouardMathieu/2021_12_near_earth_asteroids,2021-12-27 10:52:30,2024-01-03 18:44:58,owid,1,46,2023-01-03 17:25:32,46,2023-01-03 17:25:16,46,0,1,,,,
5436,Biosafety level 4 facilities,https://github.com/owid/notebooks/tree/main/EdouardMathieu/2021_12_bsl4_facilities_world_map,2021-12-27 10:28:56,2023-03-01 10:52:21,owid,1,46,2022-04-09 09:01:56,46,2023-03-01 10:52:22,46,0,0,,,,
5434,United Nations - Online Index of Objects Launched into Outer Space,Code & data here: https://github.com/owid/notebooks/tree/main/EdouardMathieu/2021_12_outer_space_objects,2021-12-15 10:41:28,2023-09-29 10:14:43,owid,1,46,2023-04-14 14:30:28,46,2023-01-04 12:54:35,46,0,1,,,,
5433,COVID-19 - Sequencing,,2021-12-14 19:12:21,2023-08-14 14:42:08,owid,1,52,2022-01-10 17:39:05,46,2023-08-09 19:11:28,46,1,1,,,,
5430,COVID-19 - Deaths by vaccination status - Switzerland and Liechtenstein,,2021-12-06 22:19:48,2023-04-11 09:42:53,owid,1,46,2023-04-11 09:42:53,46,2023-03-31 14:20:53,46,0,0,,,,
5415,COVID-19 - Deaths by vaccination status - England,,2021-11-22 15:13:04,2021-11-22 15:13:04,owid,1,46,2021-12-22 10:33:49,46,2022-01-10 18:08:15,46,0,0,,,,
5414,COVID-19 - Deaths by vaccination status - Chile,,2021-11-22 14:42:24,2023-03-31 14:20:18,owid,1,46,2022-07-11 10:19:17,46,2023-03-31 14:20:18,46,0,0,,,,
5413,COVID-19 - Deaths by vaccination status - United States,,2021-11-22 14:08:41,2023-06-02 15:47:20,owid,1,46,2023-02-15 10:59:42,46,2023-06-02 15:47:21,46,0,0,,,,
5404,"Lead regulation on paint (WHO, 2021)",,2021-11-09 20:50:52,2023-10-11 07:09:59,owid,1,14,2022-04-11 13:35:30,46,2021-11-09 21:14:54,14,0,1,,,,
5392,International Monetary Fund - World Economic Outlook,https://github.com/owid/importers/tree/master/imf_weo,2021-10-27 16:00:27,2022-11-04 15:47:37,owid,1,46,2022-11-04 15:47:37,46,2022-11-04 15:47:37,46,0,1,,,,
5368,COVID-19 vaccine dose donations to COVAX,,2021-09-13 11:31:51,2021-09-13 11:31:51,owid,1,46,2022-05-01 15:36:09,46,2022-04-01 10:46:57,46,0,0,,,,
5362,World Bank EdStats 2020,This is a dataset imported by the automated fetcher,2021-09-03 07:28:23,2023-10-11 07:09:59,edstats@2020,0,46,2021-09-03 09:47:37,46,2021-09-03 09:47:37,46,0,1,,,,
5361,V-Dem Dataset Version 11.1 - V-Dem Institute,This is a dataset imported by the automated fetcher,2021-08-12 11:30:54,2021-08-12 11:30:54,vdem@11.1,1,46,2021-08-12 11:30:54,46,2021-08-12 11:30:54,46,0,1,,,,
5349,Excess fertilizers (West et al. 2014),,2021-07-20 08:56:42,2022-11-30 12:23:14,owid,1,14,2022-11-30 12:23:14,46,2022-11-30 12:23:14,14,0,0,,,,
5338,COVID-19 - Variants,,2021-07-01 00:30:06,2023-08-14 14:42:18,owid,1,52,2022-01-10 17:38:53,46,2023-08-09 19:11:17,46,1,1,,,,
5314,Gallup World Poll - Someone to help you,"(Max, 22 Feb 2023) This cannot be shared publicly! It is not publicly licensed. But I want to keep it internally.",2021-05-25 10:27:38,2023-02-22 13:26:05,owid,1,2,2023-02-22 13:26:05,46,2021-05-25 10:27:38,2,0,0,,,,
5305,"YouGov-Imperial COVID-19 Behavior Tracker, composite variables",,2021-05-10 02:21:27,2023-08-14 14:42:31,owid,1,47,2021-09-09 06:57:48,46,2022-11-23 10:38:26,46,0,1,,,,
5251,COVID-19 - Israel: confirmed cases by age,,2021-02-08 11:00:49,2023-05-18 13:28:20,owid,1,46,2021-12-29 11:00:00,46,2022-03-15 08:54:09,46,0,1,,,,
5248,COVID-19 - Swedish Public Health Agency,,2021-02-04 13:45:48,2023-08-14 14:42:36,owid,1,46,2021-02-04 14:13:59,46,2023-03-24 11:40:11,46,0,1,,,,
5241,COVID-19 - United States vaccinations,,2021-01-16 08:02:14,2023-08-14 14:40:33,owid,1,46,2021-01-16 09:14:43,46,2023-08-09 15:12:22,46,0,1,,,,
5240,Labour Force Dependency Ratio (IIASC),,2021-01-13 21:44:01,2021-01-13 21:44:01,owid,1,14,2022-04-11 13:27:20,46,2021-01-25 12:58:39,14,0,0,,,,
5237,uk_covid_data,,2020-12-22 17:08:42,2023-08-14 14:41:34,owid,1,14,2021-08-19 14:23:15,46,2023-08-09 14:48:41,46,0,1,,,,
5234,COVID-19 - Vaccinations,,2020-12-16 10:44:13,2023-08-14 14:42:27,owid,1,46,2021-02-13 11:31:56,46,2023-08-10 07:46:30,46,0,1,,,,
5220,COVID-19 - Johns Hopkins University,,2020-11-17 14:14:48,2022-04-13 13:59:37,owid,1,46,2022-04-13 13:59:37,46,2022-04-13 13:59:37,46,0,1,,,,
5219,Maddison Project Database 2020 (Bolt and van Zanden (2020)),,2020-11-16 20:44:58,2020-11-16 20:44:58,owid,0,10,2022-04-11 13:36:45,46,2021-09-16 10:27:01,10,0,1,,,,
5213,Swedish COVID-19 deaths comparison,,2020-11-09 12:30:47,2020-11-09 12:30:47,owid,1,46,2020-11-09 12:31:03,46,2020-11-12 18:12:20,46,0,0,,,,
5205,COVID-2019 - Hospital & ICU,,2020-10-27 14:52:30,2023-08-14 14:41:38,owid,0,46,2021-12-27 18:42:20,46,2023-08-10 05:41:15,46,0,1,,,,
5202,YouGov-Imperial COVID-19 Behavior Tracker,,2020-10-21 13:13:45,2023-05-18 13:28:59,owid,0,46,2021-09-09 06:57:28,46,2022-11-23 10:38:33,46,0,1,,,,
5192,Global Health Indicators – Number of People (2020),,2020-10-03 08:37:54,2023-04-21 10:42:18,owid,1,14,2023-04-21 10:42:18,46,2023-04-21 10:42:18,14,0,0,,,,
5189,"UN WPP 2019 - Percentage of male total population by broad age group, region, subregion and country, annually interpolated for 1950-2100",This is a dataset imported by the automated fetcher,2020-09-30 12:58:39,2020-12-24 10:57:36,unwpp2019,0,46,2020-12-24 10:57:36,46,2020-12-24 10:57:36,46,0,1,,,,
5188,"UN WPP 2019 - Percentage of female total population by broad age group, region, subregion and country, annually interpolated for 1950-2100",This is a dataset imported by the automated fetcher,2020-09-30 12:58:39,2020-12-24 10:57:36,unwpp2019,0,46,2020-12-24 10:57:36,46,2020-12-24 10:57:36,46,0,1,,,,
5187,"UN WPP 2019 - Interpolated female population by broad age group, region, subregion and country, annually for 1950-2100 (thousands)",This is a dataset imported by the automated fetcher,2020-09-30 12:58:39,2020-12-24 10:57:36,unwpp2019,0,46,2020-12-24 10:57:36,46,2020-12-24 10:57:36,46,0,1,,,,
5186,"UN WPP 2019 - Dependency ratios (total, child, old-age) for different age groups and for both sexes combined by region, subregion and country, annually interpolated for 1950-2100",This is a dataset imported by the automated fetcher,2020-09-30 12:58:39,2020-12-24 10:57:36,unwpp2019,0,46,2020-12-24 10:57:36,46,2020-12-24 10:57:36,46,0,1,,,,
5185,"UN WPP 2019 - Percentage of total population by broad age group, region, subregion and country, annually interpolated for 1950-2100",This is a dataset imported by the automated fetcher,2020-09-30 12:58:39,2020-12-24 10:57:36,unwpp2019,0,46,2020-12-24 10:57:36,46,2020-12-24 10:57:36,46,0,1,,,,
5184,"UN WPP 2019 - Male population by single age, region, subregion and country, annually for 1950-2100 (thousands)",This is a dataset imported by the automated fetcher,2020-09-30 12:58:39,2020-12-24 10:57:36,unwpp2019,0,46,2020-12-24 10:57:36,46,2020-12-24 10:57:36,46,0,1,,,,
5183,"UN WPP 2019 - Female dependency ratios (total, child, old-age) for different age groups by region, subregion and country, annually interpolated for 1950-2100",This is a dataset imported by the automated fetcher,2020-09-30 12:58:39,2020-12-24 10:57:36,unwpp2019,0,46,2020-12-24 10:57:36,46,2020-12-24 10:57:36,46,0,1,,,,
5182,"UN WPP 2019 - Interpolated male population by broad age group, region, subregion and country, annually for 1950-2100 (thousands)",This is a dataset imported by the automated fetcher,2020-09-30 12:58:39,2020-12-24 10:57:36,unwpp2019,0,46,2020-12-24 10:57:36,46,2020-12-24 10:57:36,46,0,1,,,,
5181,"UN WPP 2019 - Interpolated demographic indicators by region, subregion and country, annually for 1950-2099",This is a dataset imported by the automated fetcher,2020-09-30 12:58:39,2020-12-24 10:57:36,unwpp2019,0,46,2020-12-24 10:57:36,46,2020-12-24 10:57:36,46,0,1,,,,
5180,"UN WPP 2019 - Total population (both sexes combined) by single age, region, subregion and country, annually for 1950-2100 (thousands)",This is a dataset imported by the automated fetcher,2020-09-30 12:58:39,2020-12-24 10:57:36,unwpp2019,0,46,2020-12-24 10:57:36,46,2020-12-24 10:57:36,46,0,1,,,,
5179,"UN WPP 2019 - Female population by single age, region, subregion and country, annually for 1950-2100 (thousands)",This is a dataset imported by the automated fetcher,2020-09-30 12:58:39,2020-12-24 10:57:36,unwpp2019,0,46,2020-12-24 10:57:36,46,2020-12-24 10:57:36,46,0,1,,,,
5178,"UN WPP 2019 - Interpolated total population by broad age group, region, subregion and country, annually for 1950-2100 (thousands)",This is a dataset imported by the automated fetcher,2020-09-30 12:58:39,2020-12-24 10:57:36,unwpp2019,0,46,2020-12-24 10:57:36,46,2020-12-24 10:57:36,46,0,1,,,,
5177,"UN WPP 2019 - Male dependency ratios (total, child, old-age) for different age groups by region, subregion and country, annually interpolated for 1950-2100",This is a dataset imported by the automated fetcher,2020-09-30 12:58:39,2020-12-24 10:57:36,unwpp2019,0,46,2020-12-24 10:57:36,46,2020-12-24 10:57:36,46,0,1,,,,
5164,Global airline traffic and capacity (ICAO),https://github.com/owid/notebooks/tree/main/EdouardMathieu/icao_world_airlines_traffic_capacity,2020-09-07 12:54:22,2023-04-03 09:25:46,owid,0,14,2023-04-03 09:25:46,46,2023-04-03 09:25:07,46,0,0,,,,
5155,BP Statistical Review of Global Energy,This is a dataset imported by the automated fetcher,2020-08-14 14:03:01,2020-08-14 14:03:01,bpstatreview_2020,1,46,2020-08-14 14:03:01,46,2020-08-14 14:03:01,46,0,1,,,,
5086,"Methane emissions by sector (CAIT, 2020)",,2020-06-04 14:54:59,2022-04-11 13:55:08,owid,0,14,2022-04-11 13:55:08,46,2022-04-11 13:55:08,14,0,1,,,,
5078,COVID Government Response (OxBSG),,2020-04-02 11:34:30,2023-08-14 14:41:50,owid,0,14,2021-10-22 14:17:22,46,2023-06-14 16:02:48,46,0,1,,,,
5075,COVID testing time series data,,2020-03-25 19:28:02,2023-08-14 14:41:56,owid,0,10,2021-03-07 20:32:00,46,2023-06-14 14:45:05,46,0,1,,,,
5071,COVID-2019 - ECDC (2020),,2020-03-19 11:03:55,2023-08-14 14:42:00,owid,0,29,2020-10-28 13:06:08,46,2020-10-28 13:06:08,29,0,1,,,,
4239,Penn World Tables version 9.1 (2019),,2019-10-25 20:19:05,2022-05-02 15:56:30,owid,1,19,2022-05-02 15:56:30,46,2022-05-02 15:56:30,19,0,1,,,,
4223,"Environmental impacts of food (Poore & Nemecek, 2018)",,2019-10-08 11:13:34,2023-02-28 13:24:29,owid,0,14,2023-02-28 13:24:29,46,2022-08-16 10:03:22,14,0,0,,,,
4195,Social media use in the US by gender (Pew Research Center),,2019-08-29 16:03:22,2023-03-22 08:55:39,owid,0,7,2023-03-03 09:31:36,46,2022-12-20 14:50:18,46,0,1,,,,
4177,"Daily hours spent with digital media per adult user, US (BOND Internet Trends (2019))",,2019-08-01 11:21:57,2023-04-03 15:44:50,owid,1,19,2023-04-03 15:44:50,46,2019-08-01 11:21:57,19,0,0,,,,
4173,Users by social media platform (Statista and TNW (2019)),,2019-07-22 17:00:30,2023-03-22 09:04:50,owid,1,19,2023-03-03 09:51:40,46,2019-09-06 18:09:40,19,0,1,,,,
4154,Wellcome Global Monitor 2020: Covid-19 - Trust questions,https://github.com/owid/notebooks/tree/main/EdouardMathieu/wellcome_global_monitor,2019-06-24 14:36:35,2023-04-11 13:55:06,owid,0,31,2023-04-11 13:55:06,46,2022-03-03 15:31:01,46,0,0,,,,
3013,UN population scenarios,,2017-07-24 16:31:16,2017-11-20 12:30:15,owid,1,13,2021-10-25 10:53:02,46,2021-10-25 10:50:03,46,0,1,,,,
2984,"Transport and communication costs, OECD Economic Outlook (2007)",,2016-09-07 00:59:22,2017-11-06 16:23:42,owid,1,7,2021-10-24 13:25:06,46,2017-11-06 16:23:42,7,0,0,,,,
2981,Health Insurance Coverage (Tanzi & Schuknecht (2000)) (split),,2016-04-02 02:32:43,2017-11-15 21:17:49,owid,1,7,2021-10-24 12:27:42,46,2017-11-15 21:17:49,7,0,0,,,,
2971,Interpersonal Trust - General Social Survey (GSS),"Extracted from the GSS Data Explorer
Variable ""trust"" (https://gssdataexplorer.norc.org/variables/441/vshow)
-> Tabulate
Column: Trust (Can people be trusted)
Row: Year (GSS year for this respondent)
Weight var: WTSSCOMP
Sample design: Simple Random Sample
Exclude missing: Yes
Note: as of 7 Mar 2022 there is a typo in the values on the GSS website - we think that ""Can't trust"" actually mean ""Can trust"" and is the positive response, while ""Can't be too careful"" is the negative response.",2018-09-21 06:29:14,2018-09-21 06:29:14,owid,0,9,2022-03-07 11:57:47,46,2022-03-07 11:56:51,46,0,0,,,,
2965,"Prevalence of undernourishment since 2000 (FAOstats, 2018)",,2018-09-20 13:09:36,2022-10-07 09:31:56,owid,1,14,2022-10-07 09:31:56,46,2022-10-07 09:31:56,14,0,0,,,,
2830,Distribution of bilateral and unilateral trade partnerships - Fouquin and Hugot (CEPII 2016),,2018-07-12 10:20:35,2018-07-13 12:35:54,owid,0,19,2022-04-13 11:29:47,46,2018-07-13 12:35:54,19,0,0,,,,
2501,Literacy by years of schooling US 1947 – OECD (2014) ,,2018-03-09 18:38:26,2018-03-09 18:41:21,owid,0,7,2021-10-24 10:01:59,46,2018-03-09 18:41:21,7,0,0,,,,
1932,"Patents awarded in England, Scotland and Wales - Bottomley",,2018-01-30 18:15:28,2023-05-05 09:16:48,owid,0,14,2023-05-05 09:16:48,46,2018-01-30 18:15:28,14,0,0,,,,
1892,"Life expectancy - Riley (2005), Clio Infra (2015), and UN (2019)",,2018-01-04 15:25:44,2022-09-30 09:43:18,owid,0,19,2022-09-30 09:43:18,46,2022-09-30 09:43:18,2,0,1,,,,
1854,Supercomputer power (FLOPS) – TOP500 Database,,2017-12-01 15:29:28,2024-04-22 16:02:12,owid,0,14,2023-03-03 12:31:03,46,2023-02-01 10:51:36,46,0,1,,,,
1852,USA patents granted - US Patent & Trademark Office,,2017-11-30 17:49:06,2023-05-25 12:39:08,owid,0,14,2023-05-25 12:39:09,46,2017-11-30 21:53:16,14,0,0,,,,
1851,Transistors per microprocessor - Rupp & Horowitz,,2017-11-30 16:44:00,2023-03-10 08:51:23,owid,0,14,2023-03-08 13:59:33,46,2017-11-30 17:22:16,14,0,1,,,,
1847,"Clark, Flèche & Senik – Happiness Inequality",,2017-11-29 18:22:19,2017-11-29 18:22:19,owid,0,2,2022-04-11 14:52:28,46,2017-11-29 18:22:19,2,0,0,,,,
1026,Wealth per capita by component by country - World Bank (2017),,2017-11-08 22:44:00,2023-02-22 14:52:04,owid,0,13,2023-02-22 14:52:05,46,2017-11-11 13:06:17,13,0,0,,,,
944,Income Classification - World Bank (2017),,2017-09-30 10:46:40,2024-03-12 14:00:00,owid,0,19,2023-04-21 11:01:30,46,2023-04-21 11:01:30,19,0,1,,,,
941,Technology Adoption - Multiple sources compiled by Our World in Data,,2017-09-28 11:01:57,2023-03-16 17:12:50,owid,0,19,2023-03-13 13:47:49,46,2017-09-30 19:53:00,19,0,1,,,,
940,Technology Diffusion - Comin and Hobijn (2004) and others,,2017-09-27 08:46:33,2023-03-13 13:40:08,owid,0,19,2023-03-13 13:40:08,46,2019-07-27 11:50:07,19,0,0,,,,
568,NIH - DNA Sequencing Costs,https://github.com/owid/notebooks/tree/main/EdouardMathieu/nih_dna_sequencing_costs,2017-07-11 12:59:42,2023-11-29 07:38:03,owid,0,14,2023-03-03 10:28:31,46,2023-03-03 11:18:27,46,0,1,,,,
567,Non-commercial flight distance records - Wikipedia,,2017-07-11 12:10:33,2023-03-08 13:40:32,owid,0,14,2023-03-08 13:40:32,46,2017-11-27 10:58:47,14,0,0,,,,
448,Social Expenditure in the long run - Lindert 2004; OECD 1985; OECD (SOCX).,Data-set put together by Marco Molteni under the guidance of Esteban. OECD (SOCX) on social spending are used as reference series and data are extrapolated backwards using OECD 1985. ,2017-04-28 04:09:25,2017-05-18 20:22:25,owid,0,11,2021-05-13 11:02:02,46,2021-05-13 11:01:49,46,0,0,,,,
363,Homelessness and Precarious Housing - OECD (2016),,2017-02-26 02:16:15,2017-11-13 17:31:48,owid,0,11,2022-03-15 13:22:20,46,2022-03-15 13:22:28,46,0,0,,,,
318,"Incomes across the Distribution Database, Gini (2016)",,2016-11-02 02:53:01,2023-06-08 15:57:41,owid,1,2,2022-04-12 13:42:40,46,2017-11-13 17:07:24,2,0,1,,,,