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| id ▼ | titleSnapshot | title | descriptionSnapshot | description | producer | citationFull | attribution | attributionShort | versionProducer | urlMain | urlDownload | dateAccessed | datePublished | license |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Maddison Project Database | The Maddison Project Database is based on the work of many researchers that have produced estimates of economic growth for individual countries. Notes: - Tanzania refers only to Mainland Tanzania. - Time series for former countries and territories are calculated forward in time by estimating values based on their last official borders. | Bolt and van Zanden | Bolt, Jutta and Jan Luiten van Zanden (2020), “Maddison style estimates of the evolution of the world economy. A new 2020 update“. The Maddison Project Database is based on the work of many researchers that have produced estimates of economic growth for individual countries. The full list of sources for this historical data is given for each country below. Argentina 1800 - 1870 Prados de la Escosura, L. (2009). “Lost Decades? Economic Performance in Post-Independence Latin America,” Journal of Latin America Studies 41: 279–307 (updated data) 1870 - 1900 Bertola, L and Ocampo, J.A. (2012) The Economic Development of Latin America since Independence. Oxford, Oxford U.P Belgium 1 A.D. Scheidel, W. and Friesen, S. J., ‘The size of the economy and the distribution of income in the Roman Empire’, Journal of Roman Studies, 99 (2009), pp. 61–91 1500- 1846 Buyst, E. (2011), “Towards Estimates of Long Term Growth in the Southern Low Countries, ca.1500-1846”, Results presented at the Conference on Quantifying Long Run Economic Development, Venice, 22-24 March, 2011 Bulgaria 1892-1945 Ivanov, M. (2006). “Bulgarian National Income between 1892 and 1924,” Bulgarian National Discussion Papers DP/54/2006 Bosnia and Herzegovina 1952-2008 Milanovic (2011). Estimates provided to the Maddison-Project Bolivia (Plurinational State of) 1846-1950 Herranz-Loncán, A. and Peres-Cajías (2016). “Bolivian GDP per capita since the mid-nineteenth century” Cliometrica 10: 99-128 Brazil 1800 - 1870 Prados de la Escosura, L. (2009). “Lost Decades? Economic Performance in Post-Independence Latin America,” Journal of Latin America Studies 41: 279–307 (updated data) 1850–1899 Barro, R.J. and J.F. Ursua, (2008). “Macroeconomic Crises since 1870” Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 39(1 (Spring), pages 255-350 Switzerland 1 A.D. Scheidel, W. and Friesen, S. J., ‘The size of the economy and the distribution of income in the Roman Empire’, Journal of Roman Studies, 99 (2009), pp. 6… | Maddison Project Database 2020 (Bolt and van Zanden, 2020) | Maddison Project Database | https://www.rug.nl/ggdc/historicaldevelopment/maddison/releases/maddison-project-database-2020 | https://www.rug.nl/ggdc/historicaldevelopment/maddison/data/mpd2020.xlsx | 2022-04-12 | 2020-10-01 | ||||
| 2 | Peak Cherry Tree Blossom at Kyoto City | Historical Series of Phenological data for Cherry Tree Flowering at Kyoto City (and March Mean Temperature Reconstructions) | Yasuyuki Aono | - Taguchi,T. (1939) Climatic change in historical time in Japan J. Mar. Meteorol. Soc. 19 217–27 - Sekiguchi,T. (1969) The historical dates of Japanese cherry festival since the 8th century and her climatic changes Tokyo Geog. Pap. 13 175–90 - Aono,Y. and Omoto,Y. (1994) Estimation of temperature at Kyoto since 11th century using flowering data of cherry tree in old documents J. Agric. Meteorol. 49 263–72 - Aono,Y. and Kazui,K. (2008) Phenological data series of cherry tree flowering in Kyoto, Japan, and its application to reconstruction of springtime temperatures since the 9th century Int. J. Climatol. 28 905–14 - Aono,Y. and Saito,S. (2010) Clarifying springtime temperature reconstructions of the medieval period by gap-filling the cherry blossom phenological data series at Kyoto, Japan Int. J. Biometeorol. 54 211–9 Data for 812-2021 is available here - http://atmenv.envi.osakafu-u.ac.jp/aono/kyophenotemp4/ Date for 2022 peak blossom gathered from the Met Office (2022) - https://www.metoffice.gov.uk/about-us/press-office/news/weather-and-climate/2022/kyoto-cherry-blossom-dates-shifted-by-human-influence#:~:text=Last%20year%20was%20the%20earliest,declared%20on%201%20April%202022. | Multiple sources compiled by Aono | Yasuyuki Aono | http://atmenv.envi.osakafu-u.ac.jp/aono/kyophenotemp4/ | 2023-01-11 | 2021-03-26 | {
"url": "http://atmenv.envi.osakafu-u.ac.jp/aono/kyophenotemp4/",
"name": "Custom license"
} |
||||
| 3 | World Development Indicators | The World Development Indicators (WDI) is the primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates. | World Bank | International Telecommunication Union (via World Bank) | World Bank | https://datacatalog.worldbank.org/search/dataset/0037712/World-Development-Indicators | http://databank.worldbank.org/data/download/WDI_csv.zip | 2023-05-29 | 2023-05-11 | {
"url": "https://www.worldbank.org/en/about/legal/terms-of-use-for-datasets",
"name": "Creative Commons Attribution 4.0"
} |
||||
| 4 | Dummy | The best dummy dataset | This is a description of this dummy dataset as we would word it. It can be a few paragraphs long if need be. Citation information should not go in here. For specific information about indicators, prefer to add indciator level descriptions in meadow or garden. | This is a description of the best dummy dataset | Max Mustermann | Max Mustermann et al based on John Doe. | ACME project | ACME | 1 | http://dummy-project.org | http://dummy-project.org/download | 2023-06-29 | 2020-01-01 | {
"url": "http://dummy-project.org/license",
"name": "CC-BY 4.0"
} |
| 5 | National contributions to climate change - Annual emissions | National contributions to climate change due to historical emissions of carbon dioxide, methane and nitrous oxide | A dataset describing the global warming response to national emissions CO2, CH4 and N2O from fossil and land use sources during 1851-2021. National CO2 emissions data are collated from the Global Carbon Project (Andrew and Peters, 2022; Friedlingstein et al., 2022). National CH4 and N2O emissions data are collated from PRIMAP-hist (HISTTP) (Gütschow et al., 2022). We construct a time series of cumulative CO2-equivalent emissions for each country, gas, and emissions source (fossil or land use). Emissions of CH4 and N2O emissions are related to cumulative CO2-equivalent emissions using the Global Warming Potential (GWP*) approach, with best-estimates of the coefficients taken from the IPCC AR6 (Forster et al., 2021). Warming in response to cumulative CO2-equivalent emissions is estimated using the transient climate response to cumulative carbon emissions (TCRE) approach, with best-estimate value of TCRE taken from the IPCC AR6 (Forster et al., 2021, Canadell et al., 2021). 'Warming' is specifically the change in global mean surface temperature (GMST). The data files provide emissions, cumulative emissions and the GMST response by country, gas (CO2, CH4, N2O or 3-GHG total) and source (fossil emissions, land use emissions or the total). | Jones et al. | Jones, Matthew W., Peters, Glen P., Gasser, Thomas, Andrew, Robbie M., Schwingshackl, Clemens, Gütschow, Johannes, Houghton, Richard A., Friedlingstein, Pierre, Pongratz, Julia, & Le Quéré, Corinne. (2023). National contributions to climate change due to historical emissions of carbon dioxide, methane and nitrous oxide [Data set]. In Scientific Data (2023.1). Zenodo. | https://zenodo.org/record/7636699#.ZFCy4exBweZ | https://zenodo.org/record/7636699/files/EMISSIONS_ANNUAL_1830-2021.csv | 2023-05-02 | 2023-02-13 | |||||
| 6 | Peak Cherry Tree Blossom at Kyoto City | Historical Series of Phenological data for Cherry Tree Flowering at Kyoto City (and March Mean Temperature Reconstructions) | Yasuyuki Aono | Yasuyuki Aono compiled this data based on multiple sources: - Taguchi,T. (1939) Climatic change in historical time in Japan J. Mar. Meteorol. Soc. 19 217–27 - Sekiguchi,T. (1969) The historical dates of Japanese cherry festival since the 8th century and her climatic changes Tokyo Geog. Pap. 13 175–90 - Aono,Y. and Omoto,Y. (1994) Estimation of temperature at Kyoto since 11th century using flowering data of cherry tree in old documents J. Agric. Meteorol. 49 263–72 - Aono,Y. and Kazui,K. (2008) Phenological data series of cherry tree flowering in Kyoto, Japan, and its application to reconstruction of springtime temperatures since the 9th century Int. J. Climatol. 28 905–14 - Aono,Y. and Saito,S. (2010) Clarifying springtime temperature reconstructions of the medieval period by gap-filling the cherry blossom phenological data series at Kyoto, Japan Int. J. Biometeorol. 54 211–9 Data for 812-2021 is available here - http://atmenv.envi.osakafu-u.ac.jp/aono/kyophenotemp4/ Data for 2022 peak blossom is gathered from the Met Office (2022) - https://www.metoffice.gov.uk/about-us/press-office/news/weather-and-climate/2022/kyoto-cherry-blossom-dates-shifted-by-human-influence | Multiple sources compiled by Aono | Yasuyuki Aono | http://atmenv.envi.osakafu-u.ac.jp/aono/kyophenotemp4/ | 2023-01-11 | 2021-03-26 | {
"url": "http://atmenv.envi.osakafu-u.ac.jp/aono/kyophenotemp4/",
"name": "Custom license"
} |
||||
| 7 | Maddison Project Database | Maddison Project Database | The Maddison Project Database is based on the work of many researchers that have produced estimates of economic growth for individual countries. Notes: - Tanzania refers only to Mainland Tanzania. - Time series for former countries and territories are calculated forward in time by estimating values based on their last official borders. | Bolt and van Zanden | Bolt, Jutta and Jan Luiten van Zanden (2020), “Maddison style estimates of the evolution of the world economy. A new 2020 update“. The Maddison Project Database is based on the work of many researchers that have produced estimates of economic growth for individual countries. The full list of sources for this historical data is given for each country below. Argentina 1800 - 1870 Prados de la Escosura, L. (2009). “Lost Decades? Economic Performance in Post-Independence Latin America,” Journal of Latin America Studies 41: 279–307 (updated data) 1870 - 1900 Bertola, L and Ocampo, J.A. (2012) The Economic Development of Latin America since Independence. Oxford, Oxford U.P Belgium 1 A.D. Scheidel, W. and Friesen, S. J., ‘The size of the economy and the distribution of income in the Roman Empire’, Journal of Roman Studies, 99 (2009), pp. 61–91 1500- 1846 Buyst, E. (2011), “Towards Estimates of Long Term Growth in the Southern Low Countries, ca.1500-1846”, Results presented at the Conference on Quantifying Long Run Economic Development, Venice, 22-24 March, 2011 Bulgaria 1892-1945 Ivanov, M. (2006). “Bulgarian National Income between 1892 and 1924,” Bulgarian National Discussion Papers DP/54/2006 Bosnia and Herzegovina 1952-2008 Milanovic (2011). Estimates provided to the Maddison-Project Bolivia (Plurinational State of) 1846-1950 Herranz-Loncán, A. and Peres-Cajías (2016). “Bolivian GDP per capita since the mid-nineteenth century” Cliometrica 10: 99-128 Brazil 1800 - 1870 Prados de la Escosura, L. (2009). “Lost Decades? Economic Performance in Post-Independence Latin America,” Journal of Latin America Studies 41: 279–307 (updated data) 1850–1899 Barro, R.J. and J.F. Ursua, (2008). “Macroeconomic Crises since 1870” Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 39(1 (Spring), pages 255-350 Switzerland 1 A.D. Scheidel, W. and Friesen, S. J., ‘The size of the economy and the distribution of income in the Roman Empire’, Journal of Roman Studies, 99 (2009), pp. 6… | Maddison Project Database 2020 (Bolt and van Zanden, 2020) | Maddison Project Database | https://www.rug.nl/ggdc/historicaldevelopment/maddison/releases/maddison-project-database-2020 | https://www.rug.nl/ggdc/historicaldevelopment/maddison/data/mpd2020.xlsx | 2022-04-12 | 2020-10-01 | |||
| 8 | Dummy OWID dataset title | This is a dummy dataset | Dummy producer | Dummy producer citation | https://www.url-dummy.com/ | https://raw.githubusercontent.com/owid/etl/master/walkthrough/dummy_data.csv | 2023-08-07 | 2020-01-01 | ||||||
| 9 | UK egg statistics | UK egg statistics | The Department for Environment, Food & Rural Affairs of the United Kingdom (Defra) runs a quarterly survey of registered UK egg packing stations. It is a voluntary sample survey of 27 respondents that collects information on throughput by production type and prices of graded eggs and sales of ungraded eggs. The response rate is typically 100 per cent and the survey accounts for 75 per cent of eggs packed in the UK. The survey figures are raised up to give UK estimates using information on the number of commercial laying hens, average egg yields, average mortality rates, the proportion of UK eggs that go through packing stations. Throughput by egg type for packing stations not surveyed is calculated using data provided by packing stations responding to the survey. | Department for Environment, Food & Rural Affairs of the United Kingdom | Quarterly UK statistics on Egg Packing Station Throughput and Prices, by the Department for Environment, Food & Rural Affairs of the United Kingdom. | Department for Environment, Food & Rural Affairs of the United Kingdom | Defra | https://www.gov.uk/government/statistics/egg-statistics | https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1173898/egg-packers-27july23.ods | 2023-08-01 | 2023-07-27 | |||
| 10 | US egg production, cage-free percentages | US Egg Production Data Set | This project synthesizes data on the supply of cage-free eggs relative to all food eggs in the United States using United States Department of Agriculture (USDA) data from December 2007 to present. The associated report supplements the data with definitions and a taxonomy of egg products drawn from USDA and industry publications. | The Humane League | The Humane League based on the United States Department of Agriculture (USDA). | The Humane League based on the United States Department of Agriculture (USDA) | The Humane League | https://thehumaneleague.org/article/E008R01-us-egg-production-data | https://osf.io/download/56xjc/ | 2023-08-03 | 2023-04-09 | |||
| 11 | Farmed finfishes used for food | Estimating global numbers of farmed fishes killed for food annually from 1990 to 2019 | Global farmed finfish production increased from 9 to 56 million tonnes between 1990 and 2019. Although finfishes are now widely recognised as sentient beings, production is still being quantified as biomass rather than number of individuals (in contrast to farmed mammals and birds). Here, we estimate the global number of farmed finfishes slaughtered using FAO aquaculture production tonnages (1990–2019 data) and estimates of individual weight at killing (determined from internet searches at species and country level where possible). We relate these numbers to knowledge on humane slaughter, animal welfare law, and certification schemes. Since 1990, farmed finfish numbers killed annually for food have increased nine-fold, to 124 billion (1.24 × 1011, range 78–171 billion) in 2019. This figure does not represent the total number farmed (due to mortalities during rearing and non-food production) and is expected to increase as aquaculture expands. Our estimates indicate that farmed finfishes now outnumber the 80 billion farmed birds and mammals killed globally each year for food. The majority are produced in Asia. Inhumane slaughter practices cause suffering for most farmed finfishes. Most, 70–72%, have no legal welfare protection, and less than 1% have any fish-specific legal protection, at slaughter. The main global certification schemes in 2013–2015 accounted for 2% of slaughtered farmed finfishes. Fishes for which species-specific parameters for automated humane stunning are published comprise 20–24%. As the dominant taxa of farmed vertebrates, finfishes would benefit from better welfare if species-specific humane slaughter was defined and incorporated into laws and certification schemes. | Mood et al. | Mood, A., Lara, E., Boyland, N., & Brooke, P. (2023). Estimating global numbers of farmed fishes killed for food annually from 1990 to 2019. Animal Welfare, 32, E12. doi:10.1017/awf.2023.4 | https://www.cambridge.org/core/journals/animal-welfare/article/estimating-global-numbers-of-farmed-fishes-killed-for-food-annually-from-1990-to-2019/765A7CCA23ADA0249EF37CFC5014D351 | https://static.cambridge.org/content/id/urn:cambridge.org:id:article:S0962728623000040/resource/name/S0962728623000040sup001.zip | 2023-08-08 | 2023-02-06 | |||||
| 12 | Number of farmed fish in 2015 | Estimated numbers of individuals in annual global aquaculture production (FAO) of fish species (2015). | Estimated number of individual fish in annual aquaculture production in 2015. | Fishcount | Fishcount.org.uk based on data from the Food and Agriculture Organization of the United Nations. | http://fishcount.org.uk/ | http://fishcount.org.uk/studydatascreens2/2015/Farmed-fishes-2015.xlsx | 2023-08-14 | 1970-01-01 | |||||
| 13 | Number of farmed fish in 2016 | Estimated numbers of individuals in global aquaculture production (FAO) of fish species (2016). | Estimated number of individual fish in annual aquaculture production in 2016. | Fishcount | Fishcount.org.uk based on data from the Food and Agriculture Organization of the United Nations. | http://fishcount.org.uk/ | http://fishcount.org.uk/studydatascreens2/2017/Farmed-fishes-2016-v2.xlsx | 2023-08-14 | 1970-01-01 | |||||
| 14 | Number of farmed fish in 2017 | Estimated numbers of individuals in global aquaculture production (FAO) of fish species (2017) | Estimated number of individual fish in annual aquaculture production. | Fishcount | Fishcount.org.uk based on data from the Food and Agriculture Organization of the United Nations. | http://fishcount.org.uk/ | http://fishcount.org.uk/studydatascreens2/2017/Farmed-fishes-2017-v2.xlsx | 2023-08-14 | 1970-01-01 | |||||
| 15 | Number of farmed decapod crustaceans in 2015 | Estimated numbers of individuals in annual global aquaculture production (FAO) of decapod species (2015) | Estimated number of individual decapod crustaceans in annual aquaculture production in 2015. | Fishcount | Fishcount.org.uk based on data from the Food and Agriculture Organization of the United Nations. | http://fishcount.org.uk/ | http://fishcount.org.uk/studydatascreens2/2015/Farmed-decapods-2015.xlsx | 2023-08-15 | 1970-01-01 | |||||
| 16 | Number of farmed decapod crustaceans in 2016 | Estimated numbers of individuals in global aquaculture production (FAO) of decapod species (2016) | Estimated number of individual decapod crustaceans in annual aquaculture production in 2016. | Fishcount | A Mood and P Brooke. Fishcount.org.uk based on data from the Food and Agriculture Organization of the United Nations. | http://fishcount.org.uk/ | http://fishcount.org.uk/studydatascreens2/2017/Farmed-decapods-2016.xlsx | 2023-08-15 | 2019-09-01 | |||||
| 17 | Number of farmed decapod crustaceans in 2017 | Estimated numbers of individuals in global aquaculture production (FAO) of decapod species (2017) | Estimated number of individual decapod crustaceans in annual aquaculture production. | Fishcount | A Mood and P Brooke. Fishcount.org.uk based on data from the Food and Agriculture Organization of the United Nations. | http://fishcount.org.uk/ | http://fishcount.org.uk/studydatascreens2/2017/Farmed-decapods-2017.xlsx | 2023-08-15 | 2023-09-01 | |||||
| 18 | Number of individual wild fish killed for food | Estimated numbers of individuals in annual global recorded capture (FAO) of fish species | Estimated numbers of individual fish killed annually in wild fish capture. | Fishcount | Fishcount.org.uk based on data from the Food and Agriculture Organization of the United Nations. | http://fishcount.org.uk/ | http://fishcount.org.uk/studydatascreens/2016/fishcount_estimated_wild_fish_2007-2016.xlsx | 2023-08-16 | 2019-01-21 | |||||
| 19 | Dummy OWID dataset title | This is a dummy dataset | Dummy producer | Dummy producer citation | https://www.url-dummy.com/ | https://raw.githubusercontent.com/owid/etl/master/walkthrough/dummy_data.csv | 2023-08-21 | 2020-01-01 | ||||||
| 20 | [origin.dataset-title-owid] | [origin.dataset-title-producer] | [origin.dataset-description-owid] | [origin.dataset-description-producer] | [origin.producer] | [origin.citation-producer] | [origin.attribution > origin.producer (year)] | [origin.attribution-short] | [origin.version] | [origin.dataset-url-main] | https://raw.githubusercontent.com/owid/etl/master/walkthrough/dummy_data.csv | 2020-01-01 | 2000-01-01 | |
| 21 | Dummy OWID dataset title | This is a dummy dataset | Dummy producer | Dummy producer citation | https://www.url-dummy.com/ | https://raw.githubusercontent.com/owid/etl/master/walkthrough/dummy_data.csv | 2023-08-22 | 2020-01-01 | ||||||
| 22 | Reported Smallpox Cases (WHO, 2023) | Because smallpox was eradicated in 1977, there were no new cases since 2010 so we extended the time series. More details by the WHO: https://www.who.int/health-topics/smallpox#tab=tab_1. | WHO | World Health Organisation | Google Sheet | http://www.earth-policy.org/data_highlights/2011/highlights19 | https://docs.google.com/spreadsheets/d/e/2PACX-1vTdzSim9woEMb9zZNDCihyD5nr6YWpfDxLftbn-qS1SEoJjRNwv8vyJ5EaSnwJEiD5KAfFro3c79Dp-/pub?output=csv | 2023-08-23 | 1970-01-01 | |||||
| 23 | [origin.dataset-title-owid] | [origin.dataset-title-producer] | [origin.dataset-description-owid] | [origin.dataset-description-producer] | [origin.producer] | [origin.citation-producer] | [origin.attribution > origin.producer (year)] | [origin.attribution-short] | [origin.dataset-url-main] | https://raw.githubusercontent.com/owid/etl/master/walkthrough/dummy_data.csv | 2020-01-01 | 2000-01-01 | ||
| 24 | Chick culling laws | Male baby chicks are commonly killed in laying hens hatcheries all around the world, as they provide no value for the egg production industry. Only a minority of country has laws to ban this practice. This dataset is a compilation of evidence (from official institutions and in some cases from the news) of chick culling taking place in a country, and, in some cases, of existing laws banning it. | Various sources | Evidence of laws banning chick culling, and evidence of chick culling being practiced without any ban, has been gathered from various sources for different countries. Some of those sources were extracted from [a report by the European Institute for Animal Law & Policy](https://animallaweurope.com/wp-content/uploads/2023/01/Animal-Law-Europe-%E2%80%93-Chick-Killing-Report-2023.pdf): "Chick and Duckling Killing: Achieving an EU-Wide Prohibition" (White paper, January 2023) by Alice Di Concetto, Olivier Morice, Matthias Corion, Simão Santos. - Austria: Banned. Source: [Section 6(2), Animal Welfare Act.](https://www.ris.bka.gv.at/GeltendeFassung.wxe?Abfrage=Bundesnormen&Gesetzesnummer=20003541) Date effective: 2022-07-18. The prohibition was adopted in July 2022 through a law amending the Animal Welfare Act. Scope excludes male chicks used as feed in zoos or for birds of prey. Destruction of non-hatched is allowed up until 14 day of incubation. - France: Banned. Source: [R 214-17 of the Rural Code.](https://www.legifrance.gouv.fr/codes/article_lc/LEGIARTI000028969470) Date effective: 2022-12-31. The prohibition was adopted on January 2022 through a regulation. In ovo sexing technologies benefit from a five-year nonobsolescence clause. Male chicks for animal food production benefit from an exemption. Destruction of non-hatched is allowed up until 15 day of incubation. - Germany: Banned. Source: [Section 3 (4c), Animal Welfare Act.](https://www.gesetze-im-internet.de/tierschg/BJNR012770972.html) Date effective: 2022-01-01. The prohibition was adopted on January 2022, through a regulation which prohibits the culling of one-day old chicks by 2022, and the culling of fertilized eggs passed the 6th day of incubation. Note: No derogation. - Italy: Banned but not yet effective. Source: [Article 18, European Delegation Law (22G00136).](https://www.normattiva.it/uri-res/N2Ls?urn:nir:stato:legge:2022-08-04;127) Date effective: 2026-12-31. The law prohibits the selective killing of male chicks by December 31st, 2026 and provides… | https://animallaweurope.com/news/ | 2023-09-01 | 2023-01-01 | |||||||
| 25 | Chick culling laws | Male baby chicks are commonly killed in laying hens hatcheries all around the world, as they provide no value for the egg production industry. Only a minority of country has laws to ban this practice. This dataset is a compilation of evidence (from official institutions and in some cases from the news) of chick culling taking place in a country, and, in some cases, of existing laws banning it. | Various sources | Evidence of laws banning chick culling, and evidence of chick culling being practiced without any ban, has been gathered from various sources for different countries. Some of those sources were extracted from [a report by the European Institute for Animal Law & Policy](https://animallaweurope.com/wp-content/uploads/2023/01/Animal-Law-Europe-%E2%80%93-Chick-Killing-Report-2023.pdf): "Chick and Duckling Killing: Achieving an EU-Wide Prohibition" (White paper, January 2023) by Alice Di Concetto, Olivier Morice, Matthias Corion, Simão Santos. - Austria: Banned. Source: [Section 6(2), Animal Welfare Act.](https://www.ris.bka.gv.at/GeltendeFassung.wxe?Abfrage=Bundesnormen&Gesetzesnummer=20003541) Date effective: 2022-07-18. The prohibition was adopted in July 2022 through a law amending the Animal Welfare Act. Scope excludes male chicks used as feed in zoos or for birds of prey. Destruction of non-hatched is allowed up until 14 day of incubation. - France: Banned. Source: [R 214-17 of the Rural Code.](https://www.legifrance.gouv.fr/codes/article_lc/LEGIARTI000028969470) Date effective: 2022-12-31. The prohibition was adopted on January 2022 through a regulation. In ovo sexing technologies benefit from a five-year nonobsolescence clause. Male chicks for animal food production benefit from an exemption. Destruction of non-hatched is allowed up until 15 day of incubation. - Germany: Banned. Source: [Section 3 (4c), Animal Welfare Act.](https://www.gesetze-im-internet.de/tierschg/BJNR012770972.html) Date effective: 2022-01-01. The prohibition was adopted on January 2022, through a regulation which prohibits the culling of one-day old chicks by 2022, and the culling of fertilized eggs passed the 6th day of incubation. Note: No derogation. - Italy: Banned but not yet effective. Source: [Article 18, European Delegation Law (22G00136).](https://www.normattiva.it/uri-res/N2Ls?urn:nir:stato:legge:2022-08-04;127) Date effective: 2026-12-31. The law prohibits the selective killing of male chicks by December 31st, 2026 and provides… | https://animallaweurope.com/news/ | 2023-09-01 | 2023-09-01 | |||||||
| 26 | Bullfighting laws | This dataset lists countries where bullfighting is banned and countries where it is still legal. Note that in some countries bullfighting is legal at a national level, although it may be banned in certain regions. | Various sources | Evidence of laws banning bullfighting, and evidence of bullfighting being practiced without any ban, has been gathered from various sources for different countries. - Argentina: Banned. Source: [Law 2786 - Buenos Aires, July 25th, 1891.](https://www.argentina.gob.ar/normativa/nacional/ley-2786-283995/texto) Last bullfight took place [in 1899](https://www.animanaturalis.org/p/883). - Bolivia: Banned. Source: [Law for the defense of animals against acts of cruelty and mistreatment, Law 700, June 1st, 2015.](https://faolex.fao.org/docs/pdf/bol146525.pdf) - Brazil: Banned. Source: [Decree 24645, July 10th, 1934.](https://www2.camara.leg.br/legin/fed/decret/1930-1939/decreto-24645-10-julho-1934-516837-publicacaooriginal-1-pe.html) - Canada: Partially banned. Source: [National Post (2015-01-25).](https://nationalpost.com/news/canada/there-will-be-no-blood-in-ontario-bullfighting-ring-where-matadors-fight-with-velcro-tipped-blades) Although bullfighting is not banned, the bull cannot be stabbed or killed during the event - a ["bloodless" bullfight](https://madridbullfighting.com/blog/ufaqs/how-is-american-bullfighting-still-legal/). Velcro spears are used to simulate the stabbing of the bulls. - Chile: Banned. Source: [Law bulletin 1 number 18, heading 140 (page 183), September 15th, 1823.](https://www.bcn.cl/leychile/navegar?idNorma=1092548) - China: Not banned. Source: [Sixth Tone (2020-11-06).](https://www.sixthtone.com/news/1006372) Chinese bullfighting practices involve bulls fighting against each other or against humans. - Colombia: Not banned. Source: [Animal Legal and Historical Center (2023).](http://web.archive.org/web/20230906141841/http://196.40.56.11/scij/Busqueda/Normativa/Normas/nrm_texto_completo.aspx?nValor1=1&nValor2=11967) - Costa Rica: Partially banned. Source: [Bullfighting Activities Regulations 19183-G-S, July 7th, 1989.](http://www.pgrweb.go.cr/scij/Busqueda/Normativa/Normas/nrm_texto_completo.aspx?nValor1=1&nValor2=11967) Although bullfighting is not banned, the bull cannot be killed during the … | https://www.hsi.org/news-resources/bullfighting/ | 2023-09-05 | 2023-09-05 | |||||||
| 27 | Bullfighting laws | This dataset lists countries where bullfighting is banned and countries where it is still legal. Note that in some countries bullfighting is legal at a national level, although it may be banned in certain regions. | Various sources | Evidence of laws banning bullfighting, and evidence of bullfighting being practiced without any ban, has been gathered from various sources for different countries. - Argentina: Banned. Source: [Law 2786 - Buenos Aires, July 25th, 1891.](https://www.argentina.gob.ar/normativa/nacional/ley-2786-283995/texto) Last bullfight took place [in 1899](https://www.animanaturalis.org/p/883). - Bolivia: Banned. Source: [Law for the defense of animals against acts of cruelty and mistreatment, Law 700, June 1st, 2015.](https://faolex.fao.org/docs/pdf/bol146525.pdf) - Brazil: Banned. Source: [Decree 24645, July 10th, 1934.](https://www2.camara.leg.br/legin/fed/decret/1930-1939/decreto-24645-10-julho-1934-516837-publicacaooriginal-1-pe.html) - Canada: Partially banned. Source: [National Post (2015-01-25).](https://nationalpost.com/news/canada/there-will-be-no-blood-in-ontario-bullfighting-ring-where-matadors-fight-with-velcro-tipped-blades) Although bullfighting is not banned, the bull cannot be stabbed or killed during the event - a ["bloodless" bullfight](https://madridbullfighting.com/blog/ufaqs/how-is-american-bullfighting-still-legal/). Velcro spears are used to simulate the stabbing of the bulls. - Chile: Banned. Source: [Law bulletin 1 number 18, heading 140 (page 183), September 15th, 1823.](https://www.bcn.cl/leychile/navegar?idNorma=1092548) - China: Not banned. Source: [Sixth Tone (2020-11-06).](https://www.sixthtone.com/news/1006372) Chinese bullfighting practices involve bulls fighting against each other or against humans. - Colombia: Not banned. Source: [Animal Legal and Historical Center (2023).](http://web.archive.org/web/20230906141841/http://196.40.56.11/scij/Busqueda/Normativa/Normas/nrm_texto_completo.aspx?nValor1=1&nValor2=11967) - Costa Rica: Partially banned. Source: [Bullfighting Activities Regulations 19183-G-S, July 7th, 1989.](http://www.pgrweb.go.cr/scij/Busqueda/Normativa/Normas/nrm_texto_completo.aspx?nValor1=1&nValor2=11967) Although bullfighting is not banned, the bull cannot be killed during the … | https://www.hsi.org/news-resources/bullfighting/ | 2023-09-05 | 2023-09-05 | |||||||
| 28 | Bullfighting laws | This dataset lists countries where bullfighting is banned and countries where it is still legal. Note that in some countries bullfighting is legal at a national level, although it may be banned in certain regions. | Various sources | Evidence of laws banning bullfighting, and evidence of bullfighting being practiced without any ban, has been gathered from various sources for different countries. - Argentina: Banned. Source: [Law 2786 - Buenos Aires, July 25th, 1891.](https://www.argentina.gob.ar/normativa/nacional/ley-2786-283995/texto) Last bullfight took place [in 1899](https://www.animanaturalis.org/p/883). - Bolivia: Banned. Source: [Law for the defense of animals against acts of cruelty and mistreatment, Law 700, June 1st, 2015.](https://faolex.fao.org/docs/pdf/bol146525.pdf) - Brazil: Banned. Source: [Decree 24645, July 10th, 1934.](https://www2.camara.leg.br/legin/fed/decret/1930-1939/decreto-24645-10-julho-1934-516837-publicacaooriginal-1-pe.html) - Canada: Partially banned. Source: [National Post (2015-01-25).](https://nationalpost.com/news/canada/there-will-be-no-blood-in-ontario-bullfighting-ring-where-matadors-fight-with-velcro-tipped-blades) Although bullfighting is not banned, the bull cannot be stabbed or killed during the event - a ["bloodless" bullfight](https://madridbullfighting.com/blog/ufaqs/how-is-american-bullfighting-still-legal/). Velcro spears are used to simulate the stabbing of the bulls. - Chile: Banned. Source: [Law bulletin 1 number 18, heading 140 (page 183), September 15th, 1823.](https://www.bcn.cl/leychile/navegar?idNorma=1092548) - China: Not banned. Source: [Sixth Tone (2020-11-06).](https://www.sixthtone.com/news/1006372) Chinese bullfighting practices involve bulls fighting against each other or against humans. - Colombia: Not banned. Source: [Animal Legal and Historical Center (2023).](http://web.archive.org/web/20230906141841/http://196.40.56.11/scij/Busqueda/Normativa/Normas/nrm_texto_completo.aspx?nValor1=1&nValor2=11967) - Costa Rica: Partially banned. Source: [Bullfighting Activities Regulations 19183-G-S, July 7th, 1989.](http://www.pgrweb.go.cr/scij/Busqueda/Normativa/Normas/nrm_texto_completo.aspx?nValor1=1&nValor2=11967) Although bullfighting is not banned, the bull cannot be killed during the … | https://www.hsi.org/news-resources/bullfighting/ | 2023-09-05 | 2023-09-05 | |||||||
| 29 | Bullfighting laws | This dataset lists countries where bullfighting is banned and countries where it is still legal. Note that in some countries bullfighting is legal at a national level, although it may be banned in certain regions. | Various sources | Evidence of laws banning bullfighting, and evidence of bullfighting being practiced without any ban, has been gathered from various sources for different countries. - Argentina: Banned. Source: [Law 2786 - Buenos Aires, July 25th, 1891.](https://www.argentina.gob.ar/normativa/nacional/ley-2786-283995/texto) Last bullfight took place [in 1899](https://www.animanaturalis.org/p/883). - Bolivia: Banned. Source: [Law for the defense of animals against acts of cruelty and mistreatment, Law 700, June 1st, 2015.](https://faolex.fao.org/docs/pdf/bol146525.pdf) - Brazil: Banned. Source: [Decree 24645, July 10th, 1934.](https://www2.camara.leg.br/legin/fed/decret/1930-1939/decreto-24645-10-julho-1934-516837-publicacaooriginal-1-pe.html) - Canada: Partially banned. Source: [National Post (2015-01-25).](https://nationalpost.com/news/canada/there-will-be-no-blood-in-ontario-bullfighting-ring-where-matadors-fight-with-velcro-tipped-blades) Although bullfighting is not banned, the bull cannot be stabbed or killed during the event - a ["bloodless" bullfight](https://madridbullfighting.com/blog/ufaqs/how-is-american-bullfighting-still-legal/). Velcro spears are used to simulate the stabbing of the bulls. - Chile: Banned. Source: [Law bulletin 1 number 18, heading 140 (page 183), September 15th, 1823.](https://www.bcn.cl/leychile/navegar?idNorma=1092548) - China: Not banned. Source: [Sixth Tone (2020-11-06).](https://www.sixthtone.com/news/1006372) Chinese bullfighting practices involve bulls fighting against each other or against humans. - Colombia: Not banned. Source: [Animal Legal and Historical Center (2023).](http://web.archive.org/web/20230906141841/http://196.40.56.11/scij/Busqueda/Normativa/Normas/nrm_texto_completo.aspx?nValor1=1&nValor2=11967) - Costa Rica: Partially banned. Source: [Bullfighting Activities Regulations 19183-G-S, July 7th, 1989.](http://www.pgrweb.go.cr/scij/Busqueda/Normativa/Normas/nrm_texto_completo.aspx?nValor1=1&nValor2=11967) Although bullfighting is not banned, the bull cannot be killed during the … | https://www.hsi.org/news-resources/bullfighting/ | 2023-09-05 | 2023-09-05 | |||||||
| 30 | Bullfighting laws | This dataset lists countries where bullfighting is banned and countries where it is still legal. Note that in some countries bullfighting is legal at a national level, although it may be banned in certain regions. | Various sources | Evidence of laws banning bullfighting, and evidence of bullfighting being practiced without any ban, has been gathered from various sources for different countries. - Argentina: Banned. Source: [Law 2786 - Buenos Aires, July 25th, 1891.](https://www.argentina.gob.ar/normativa/nacional/ley-2786-283995/texto) Last bullfight took place [in 1899](https://www.animanaturalis.org/p/883). - Bolivia: Banned. Source: [Law 700, Law for the defense of animals against acts of cruelty and mistreatment, June 1st, 2015.](https://faolex.fao.org/docs/pdf/bol146525.pdf) - Brazil: Banned. Source: [Decree 24645, July 10th, 1934.](https://www2.camara.leg.br/legin/fed/decret/1930-1939/decreto-24645-10-julho-1934-516837-publicacaooriginal-1-pe.html) - Canada: Partially banned. Source: [National Post (2015-01-25).](https://nationalpost.com/news/canada/there-will-be-no-blood-in-ontario-bullfighting-ring-where-matadors-fight-with-velcro-tipped-blades) Although bullfighting is not banned, the bull cannot be stabbed or killed during the event - a ["bloodless" bullfight](https://madridbullfighting.com/blog/ufaqs/how-is-american-bullfighting-still-legal/). Velcro spears are used to simulate the stabbing of the bulls. - Chile: Banned. Source: [Law bulletin 1 number 18, heading 140 (page 183), September 15th, 1823.](https://www.bcn.cl/leychile/navegar?idNorma=1092548) - China: Not banned. Source: [Sixth Tone (2020-11-06).](https://www.sixthtone.com/news/1006372) Chinese bullfighting practices involve bulls fighting against each other or against humans. - Colombia: Not banned. Source: [Animal Legal and Historical Center (2023).](http://web.archive.org/web/20230906141841/http://196.40.56.11/scij/Busqueda/Normativa/Normas/nrm_texto_completo.aspx?nValor1=1&nValor2=11967) - Costa Rica: Partially banned. Source: [Bullfighting Activities Regulations 19183-G-S, July 7th, 1989.](http://www.pgrweb.go.cr/scij/Busqueda/Normativa/Normas/nrm_texto_completo.aspx?nValor1=1&nValor2=11967) Although bullfighting is not banned, the bull cannot be killed during the … | https://www.hsi.org/news-resources/bullfighting/ | 2023-09-05 | 2023-09-05 | |||||||
| 31 | Fur banning | Fur Free Alliance | Overview national fur legislation, Fur Free Alliance (2023). | https://www.furfreealliance.com/fur-bans/ | https://www.furfreealliance.com/wp-content/uploads/2023/04/Overview-national-fur-legislation-General-Provisions.pdf | 2023-09-08 | 2023-04-01 | {
"name": "CC BY 4.0"
} |
||||||
| 32 | UK egg statistics | UK egg statistics | The Department for Environment, Food & Rural Affairs of the United Kingdom (Defra) runs a quarterly survey of registered UK egg packing stations. It is a voluntary sample survey of 27 respondents that collects information on throughput by production type and prices of graded eggs and sales of ungraded eggs. The response rate is typically 100 per cent and the survey accounts for 75 per cent of eggs packed in the UK. The survey figures are raised up to give UK estimates using information on the number of commercial laying hens, average egg yields, average mortality rates, the proportion of UK eggs that go through packing stations. Throughput by egg type for packing stations not surveyed is calculated using data provided by packing stations responding to the survey. | Department for Environment, Food & Rural Affairs of the United Kingdom | Quarterly UK statistics on Egg Packing Station Throughput and Prices, by the Department for Environment, Food & Rural Affairs of the United Kingdom. | UK Defra | https://www.gov.uk/government/statistics/egg-statistics | https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1173898/egg-packers-27july23.ods | 2023-08-01 | 2023-07-27 | ||||
| 33 | Global hen inventory | Global hen inventory | Welfare Footprint Project | Welfare Footprint Project based on various sources. - Algeria: [Windhorst, 2017. Housing system in laying hen husbandry (part 2). Table 4.](https://zootecnicainternational.com/poultry-facts/housing-systems-laying-hen-husbandry-second-part/) - Argentina: [IEC Annual Review 2019.](http://internationalegg.com/wp-content/uploads/2019/10/IEC-Annual-Review-2019.pdf) - Armenia: [Windhorst, 2017. Housing system in laying hen husbandry (part 2). Table 4.](https://zootecnicainternational.com/poultry-facts/housing-systems-laying-hen-husbandry-second-part/) - Australia: [IEC Annual Review 2019.](http://internationalegg.com/wp-content/uploads/2019/10/IEC-Annual-Review-2019.pdf) - Austria: [IEC Annual Review 2019.](http://internationalegg.com/wp-content/uploads/2019/10/IEC-Annual-Review-2019.pdf) - Azerbaijan: [Windhorst, 2017. Housing system in laying hen husbandry (part 2). Table 4.](https://zootecnicainternational.com/poultry-facts/housing-systems-laying-hen-husbandry-second-part/) - Bangladesh: [Windhorst, 2020. Dynamics and patterns of the egg industry in the Emerging Market Countries between 2007 and 2017. Zootecnica International.](https://zootecnicainternational.com/featured/dynamics-and-patterns-of-the-egg-industry-in-the-emerging-market-countries-between-2007-and-2017/) - Belarus: [Windhorst, 2017. Housing system in laying hen husbandry (part 2). Table 4.](https://zootecnicainternational.com/poultry-facts/housing-systems-laying-hen-husbandry-second-part/) - Belgium: [Sector Dialogues EU-BR 2019 (Ministry of Agriculture).](https://www.gov.br/agricultura/pt-br/assuntos/producao-animal/arquivos-publicacoes-bem-estar-animal/XGUIAGALINHAS2019.pdf/view) - Brazil: [IBGE: Produção de Ovos de Galinha - POG (2019). Proportions in 'Sector Dialogues EU-BR 2019 (Ministry of Agriculture). '.](https://www.ibge.gov.br/estatisticas/economicas/agricultura-e-pecuaria/9216-pesquisa-trimestral-da-producao-de-ovos-de-galinha.html?edicao=26352&t=downloads; https://www.gov.br/agricultura/pt-br/assuntos/producao-animal/arquivos-publicacoes-… | https://welfarefootprint.org/research-projects/laying-hens/ | 2023-08-01 | 2022-12-06 | |||||||
| 34 | US egg production, cage-free percentages | US Egg Production Data Set | This project synthesizes data on the supply of cage-free eggs relative to all food eggs in the United States using United States Department of Agriculture (USDA) data from December 2007 to present. The associated report supplements the data with definitions and a taxonomy of egg products drawn from USDA and industry publications. | The Humane League | The Humane League based on the United States Department of Agriculture (USDA). | The Humane League based on the United States Department of Agriculture (2023) | The Humane League | https://thehumaneleague.org/article/E008R01-us-egg-production-data | https://osf.io/download/56xjc/ | 2023-08-03 | 2023-04-09 | |||
| 35 | Reported Smallpox Cases (WHO, 2023) | Because smallpox was eradicated in 1977, there were no new cases since 2010 so we extended the time series. More details by the WHO: https://www.who.int/health-topics/smallpox#tab=tab_1. | WHO | World Health Organisation | Google Sheet | http://www.earth-policy.org/data_highlights/2011/highlights19 | https://docs.google.com/spreadsheets/d/e/2PACX-1vTdzSim9woEMb9zZNDCihyD5nr6YWpfDxLftbn-qS1SEoJjRNwv8vyJ5EaSnwJEiD5KAfFro3c79Dp-/pub?output=csv | 2023-09-13 | 1970-01-01 | |||||
| 36 | Bullfighting laws | This dataset lists countries where bullfighting is banned and countries where it is still legal. Note that in some countries bullfighting is legal at a national level, although it may be banned in certain regions. | Various sources | Evidence of laws banning bullfighting, and evidence of bullfighting being practiced without any ban, has been gathered from various sources for different countries. - Argentina: Banned. Source: [Law 2786 - Buenos Aires, July 25th, 1891.](https://www.argentina.gob.ar/normativa/nacional/ley-2786-283995/texto) Last bullfight took place [in 1899](https://www.animanaturalis.org/p/883). - Bolivia: Banned. Source: [Law 700, Law for the defense of animals against acts of cruelty and mistreatment, June 1st, 2015.](https://faolex.fao.org/docs/pdf/bol146525.pdf) - Brazil: Banned. Source: [Decree 24645, July 10th, 1934.](https://www2.camara.leg.br/legin/fed/decret/1930-1939/decreto-24645-10-julho-1934-516837-publicacaooriginal-1-pe.html) - Canada: Partially banned. Source: [National Post (2015-01-25).](https://nationalpost.com/news/canada/there-will-be-no-blood-in-ontario-bullfighting-ring-where-matadors-fight-with-velcro-tipped-blades) Although bullfighting is not banned, the bull cannot be stabbed or killed during the event - a ["bloodless" bullfight](https://madridbullfighting.com/blog/ufaqs/how-is-american-bullfighting-still-legal/). Velcro spears are used to simulate the stabbing of the bulls. - Chile: Banned. Source: [Law bulletin 1 number 18, heading 140 (page 183), September 15th, 1823.](https://www.bcn.cl/leychile/navegar?idNorma=1092548) - China: Not banned. Source: [Sixth Tone (2020-11-06).](https://www.sixthtone.com/news/1006372) Chinese bullfighting practices involve bulls fighting against each other or against humans. - Colombia: Not banned. Source: [Animal Legal and Historical Center (2023).](http://web.archive.org/web/20230906141841/http://196.40.56.11/scij/Busqueda/Normativa/Normas/nrm_texto_completo.aspx?nValor1=1&nValor2=11967) - Costa Rica: Partially banned. Source: [Bullfighting Activities Regulations 19183-G-S, July 7th, 1989.](http://www.pgrweb.go.cr/scij/Busqueda/Normativa/Normas/nrm_texto_completo.aspx?nValor1=1&nValor2=11967) Although bullfighting is not banned, the bull cannot be killed during the … | https://www.hsi.org/news-resources/bullfighting/ | 2023-09-05 | 2023-09-05 | |||||||
| 37 | World Development Indicators | The World Development Indicators (WDI) is the primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates. | World Bank | International Telecommunication Union (via World Bank) | World Bank | https://datacatalog.worldbank.org/search/dataset/0037712/World-Development-Indicators | http://databank.worldbank.org/data/download/WDI_csv.zip | 2023-05-29 | 2023-05-11 | {
"url": "https://www.worldbank.org/en/about/legal/terms-of-use-for-datasets",
"name": "Creative Commons Attribution 4.0"
} |
||||
| 38 | Chick culling laws | Male baby chicks are commonly killed in laying hens hatcheries all around the world, as they provide no value for the egg production industry. Only a minority of country has laws to ban this practice. This dataset is a compilation of evidence (from official institutions and in some cases from the news) of chick culling taking place in a country, and, in some cases, of existing laws banning it. | Various sources | Evidence of laws banning chick culling, and evidence of chick culling being practiced without any ban, has been gathered from various sources for different countries. Some of those sources were extracted from [a report by the European Institute for Animal Law & Policy](https://animallaweurope.com/wp-content/uploads/2023/01/Animal-Law-Europe-%E2%80%93-Chick-Killing-Report-2023.pdf): "Chick and Duckling Killing: Achieving an EU-Wide Prohibition" (White paper, January 2023) by Alice Di Concetto, Olivier Morice, Matthias Corion, Simão Santos. - Austria: Banned. Source: [Section 6(2), Animal Welfare Act.](https://www.ris.bka.gv.at/GeltendeFassung.wxe?Abfrage=Bundesnormen&Gesetzesnummer=20003541) Date effective: 2022-07-18. The prohibition was adopted in July 2022 through a law amending the Animal Welfare Act. Scope excludes male chicks used as feed in zoos or for birds of prey. Destruction of non-hatched is allowed up until 14 day of incubation. - France: Banned. Source: [R 214-17 of the Rural Code.](https://www.legifrance.gouv.fr/codes/article_lc/LEGIARTI000028969470) Date effective: 2022-12-31. The prohibition was adopted on January 2022 through a regulation. In ovo sexing technologies benefit from a five-year nonobsolescence clause. Male chicks for animal food production benefit from an exemption. Destruction of non-hatched is allowed up until 15 day of incubation. - Germany: Banned. Source: [Section 3 (4c), Animal Welfare Act.](https://www.gesetze-im-internet.de/tierschg/BJNR012770972.html) Date effective: 2022-01-01. The prohibition was adopted on January 2022, through a regulation which prohibits the culling of one-day old chicks by 2022, and the culling of fertilized eggs passed the 6th day of incubation. Note: No derogation. - Italy: Banned but not yet effective. Source: [Article 18, European Delegation Law (22G00136).](https://www.normattiva.it/uri-res/N2Ls?urn:nir:stato:legge:2022-08-04;127) Date effective: 2026-12-31. The law prohibits the selective killing of male chicks by December 31st, 2026 and provides… | https://animallaweurope.com/news/ | 2023-09-01 | 2023-09-01 | |||||||
| 39 | UK egg statistics | The Department for Environment, Food & Rural Affairs of the United Kingdom (Defra) runs a quarterly survey of registered UK egg packing stations. It is a voluntary sample survey of 27 respondents that collects information on throughput by production type and prices of graded eggs and sales of ungraded eggs. The response rate is typically 100 per cent and the survey accounts for 75 per cent of eggs packed in the UK. The survey figures are raised up to give UK estimates using information on the number of commercial laying hens, average egg yields, average mortality rates, the proportion of UK eggs that go through packing stations. Throughput by egg type for packing stations not surveyed is calculated using data provided by packing stations responding to the survey. | Department for Environment, Food & Rural Affairs of the United Kingdom | Quarterly UK statistics on Egg Packing Station Throughput and Prices, by the Department for Environment, Food & Rural Affairs of the United Kingdom. | UK Defra | https://www.gov.uk/government/statistics/egg-statistics | https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1173898/egg-packers-27july23.ods | 2023-08-01 | 2023-07-27 | |||||
| 40 | Historical Series of Phenological data for Cherry Tree Flowering at Kyoto City (and March Mean Temperature Reconstructions) | Yasuyuki Aono | Yasuyuki Aono compiled this data based on multiple sources: - Taguchi,T. (1939) Climatic change in historical time in Japan J. Mar. Meteorol. Soc. 19 217–27 - Sekiguchi,T. (1969) The historical dates of Japanese cherry festival since the 8th century and her climatic changes Tokyo Geog. Pap. 13 175–90 - Aono,Y. and Omoto,Y. (1994) Estimation of temperature at Kyoto since 11th century using flowering data of cherry tree in old documents J. Agric. Meteorol. 49 263–72 - Aono,Y. and Kazui,K. (2008) Phenological data series of cherry tree flowering in Kyoto, Japan, and its application to reconstruction of springtime temperatures since the 9th century Int. J. Climatol. 28 905–14 - Aono,Y. and Saito,S. (2010) Clarifying springtime temperature reconstructions of the medieval period by gap-filling the cherry blossom phenological data series at Kyoto, Japan Int. J. Biometeorol. 54 211–9 Data for 812-2021 is available here - http://atmenv.envi.osakafu-u.ac.jp/aono/kyophenotemp4/ Data for 2022 peak blossom is gathered from the Met Office (2022) - https://www.metoffice.gov.uk/about-us/press-office/news/weather-and-climate/2022/kyoto-cherry-blossom-dates-shifted-by-human-influence | Multiple sources compiled by Aono | Yasuyuki Aono | http://atmenv.envi.osakafu-u.ac.jp/aono/kyophenotemp4/ | 2023-01-11 | 2021-03-26 | {
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| 41 | Global hen inventory | Welfare Footprint Project | Welfare Footprint Project based on various sources. - Algeria: [Windhorst, 2017. Housing system in laying hen husbandry (part 2). Table 4.](https://zootecnicainternational.com/poultry-facts/housing-systems-laying-hen-husbandry-second-part/) - Argentina: [IEC Annual Review 2019.](http://internationalegg.com/wp-content/uploads/2019/10/IEC-Annual-Review-2019.pdf) - Armenia: [Windhorst, 2017. Housing system in laying hen husbandry (part 2). Table 4.](https://zootecnicainternational.com/poultry-facts/housing-systems-laying-hen-husbandry-second-part/) - Australia: [IEC Annual Review 2019.](http://internationalegg.com/wp-content/uploads/2019/10/IEC-Annual-Review-2019.pdf) - Austria: [IEC Annual Review 2019.](http://internationalegg.com/wp-content/uploads/2019/10/IEC-Annual-Review-2019.pdf) - Azerbaijan: [Windhorst, 2017. Housing system in laying hen husbandry (part 2). Table 4.](https://zootecnicainternational.com/poultry-facts/housing-systems-laying-hen-husbandry-second-part/) - Bangladesh: [Windhorst, 2020. Dynamics and patterns of the egg industry in the Emerging Market Countries between 2007 and 2017. Zootecnica International.](https://zootecnicainternational.com/featured/dynamics-and-patterns-of-the-egg-industry-in-the-emerging-market-countries-between-2007-and-2017/) - Belarus: [Windhorst, 2017. Housing system in laying hen husbandry (part 2). Table 4.](https://zootecnicainternational.com/poultry-facts/housing-systems-laying-hen-husbandry-second-part/) - Belgium: [Sector Dialogues EU-BR 2019 (Ministry of Agriculture).](https://www.gov.br/agricultura/pt-br/assuntos/producao-animal/arquivos-publicacoes-bem-estar-animal/XGUIAGALINHAS2019.pdf/view) - Brazil: [IBGE: Produção de Ovos de Galinha - POG (2019). Proportions in 'Sector Dialogues EU-BR 2019 (Ministry of Agriculture). '.](https://www.ibge.gov.br/estatisticas/economicas/agricultura-e-pecuaria/9216-pesquisa-trimestral-da-producao-de-ovos-de-galinha.html?edicao=26352&t=downloads; https://www.gov.br/agricultura/pt-br/assuntos/producao-animal/arquivos-publicacoes-… | https://welfarefootprint.org/research-projects/laying-hens/ | 2023-08-01 | 2022-12-06 | ||||||||
| 42 | Dummy OWID dataset title | This is a dummy dataset | Dummy producer | Dummy producer citation | https://www.url-dummy.com/ | https://raw.githubusercontent.com/owid/etl/master/walkthrough/dummy_data.csv | 2023-08-22 | 2020-01-01 | ||||||
| 43 | [origin.title_snapshot] | [origin.title] | [origin.description_snapshot] | [origin.description] | [origin.producer] | [origin.citation_full] | [origin.attribution > origin.producer (year)] | [origin.attribution_short] | [origin.version_producer] | [origin.url_main] | https://raw.githubusercontent.com/owid/etl/master/walkthrough/dummy_data.csv | 2020-01-01 | 2000-01-01 | |
| 44 | Fur banning | Fur Free Alliance | Overview national fur legislation, Fur Free Alliance (2023). | https://www.furfreealliance.com/fur-bans/ | https://www.furfreealliance.com/wp-content/uploads/2023/04/Overview-national-fur-legislation-General-Provisions.pdf | 2023-09-08 | 2023-04-01 | {
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| 45 | Number of farmed fish killed for food worldwide | Global farmed finfish production increased from 9 to 56 million tonnes between 1990 and 2019. Although finfishes are now widely recognised as sentient beings, production is still being quantified as biomass rather than number of individuals (in contrast to farmed mammals and birds). Here, we estimate the global number of farmed finfishes slaughtered using FAO aquaculture production tonnages (1990–2019 data) and estimates of individual weight at killing (determined from internet searches at species and country level where possible). We relate these numbers to knowledge on humane slaughter, animal welfare law, and certification schemes. Since 1990, farmed finfish numbers killed annually for food have increased nine-fold, to 124 billion (1.24 × 1011, range 78–171 billion) in 2019. This figure does not represent the total number farmed (due to mortalities during rearing and non-food production) and is expected to increase as aquaculture expands. Our estimates indicate that farmed finfishes now outnumber the 80 billion farmed birds and mammals killed globally each year for food. The majority are produced in Asia. Inhumane slaughter practices cause suffering for most farmed finfishes. Most, 70–72%, have no legal welfare protection, and less than 1% have any fish-specific legal protection, at slaughter. The main global certification schemes in 2013–2015 accounted for 2% of slaughtered farmed finfishes. Fishes for which species-specific parameters for automated humane stunning are published comprise 20–24%. As the dominant taxa of farmed vertebrates, finfishes would benefit from better welfare if species-specific humane slaughter was defined and incorporated into laws and certification schemes. | Mood et al. | Mood, A., Lara, E., Boyland, N., & Brooke, P. (2023). Estimating global numbers of farmed fishes killed for food annually from 1990 to 2019. Animal Welfare, 32, E12. doi:10.1017/awf.2023.4 | https://www.cambridge.org/core/journals/animal-welfare/article/estimating-global-numbers-of-farmed-fishes-killed-for-food-annually-from-1990-to-2019/765A7CCA23ADA0249EF37CFC5014D351 | https://static.cambridge.org/content/id/urn:cambridge.org:id:article:S0962728623000040/resource/name/S0962728623000040sup001.zip | 2023-08-08 | 2023-02-06 | ||||||
| 46 | Number of individual farmed decapod crustaceans (2015) | Number of individual farmed decapod crustaceans | Estimated number of individual decapod crustaceans in annual aquaculture production in 2015. | Fishcount | Fishcount.org.uk based on data from the Food and Agriculture Organization of the United Nations. | http://fishcount.org.uk/ | http://fishcount.org.uk/studydatascreens2/2015/Farmed-decapods-2015.xlsx | 2023-08-15 | 1970-01-01 | |||||
| 47 | Number of individual farmed decapod crustaceans (2016) | Number of individual farmed decapod crustaceans | Estimated number of individual decapod crustaceans in annual aquaculture production in 2016. | Fishcount | A Mood and P Brooke. Fishcount.org.uk based on data from the Food and Agriculture Organization of the United Nations. | http://fishcount.org.uk/ | http://fishcount.org.uk/studydatascreens2/2017/Farmed-decapods-2016.xlsx | 2023-08-15 | 2019-09-01 | |||||
| 48 | Number of individual farmed decapod crustaceans (2017) | Number of individual farmed decapod crustaceans | Estimated number of individual decapod crustaceans in annual aquaculture production. | Fishcount | A Mood and P Brooke. Fishcount.org.uk based on data from the Food and Agriculture Organization of the United Nations. | http://fishcount.org.uk/ | http://fishcount.org.uk/studydatascreens2/2017/Farmed-decapods-2017.xlsx | 2023-08-15 | 2023-09-01 | |||||
| 49 | Number of individual wild fish killed for food | Estimated numbers of individual fish killed annually in wild fish capture. | Fishcount | Fishcount.org.uk based on data from the Food and Agriculture Organization of the United Nations. | http://fishcount.org.uk/ | http://fishcount.org.uk/studydatascreens/2016/fishcount_estimated_wild_fish_2007-2016.xlsx | 2023-08-16 | 2019-01-21 | ||||||
| 50 | Number of individual farmed fish (2015) | Number of individual farmed fish | Estimated number of individual fish in annual aquaculture production in 2015. | Fishcount | Fishcount.org.uk based on data from the Food and Agriculture Organization of the United Nations. | http://fishcount.org.uk/ | http://fishcount.org.uk/studydatascreens2/2015/Farmed-fishes-2015.xlsx | 2023-08-14 | 1970-01-01 | |||||
| 51 | Number of individual farmed fish (2016) | Number of individual farmed fish | Estimated number of individual fish in annual aquaculture production in 2016. | Fishcount | Fishcount.org.uk based on data from the Food and Agriculture Organization of the United Nations. | http://fishcount.org.uk/ | http://fishcount.org.uk/studydatascreens2/2017/Farmed-fishes-2016-v2.xlsx | 2023-08-14 | 1970-01-01 | |||||
| 52 | Number of individual farmed fish (2017) | Number of individual farmed fish | Estimated number of individual fish in annual aquaculture production. | Fishcount | Fishcount.org.uk based on data from the Food and Agriculture Organization of the United Nations. | http://fishcount.org.uk/ | http://fishcount.org.uk/studydatascreens2/2017/Farmed-fishes-2017-v2.xlsx | 2023-08-14 | 1970-01-01 | |||||
| 53 | US egg production (cage-free percentages) | US egg production | This project synthesizes data on the supply of cage-free eggs relative to all food eggs in the United States using United States Department of Agriculture (USDA) data from December 2007 to present. The associated report supplements the data with definitions and a taxonomy of egg products drawn from USDA and industry publications. | The Humane League | The Humane League based on the United States Department of Agriculture (USDA). | The Humane League based on the United States Department of Agriculture (2023) | The Humane League | https://thehumaneleague.org/article/E008R01-us-egg-production-data | https://osf.io/download/56xjc/ | 2023-08-03 | 2023-04-09 | |||
| 54 | Global hen inventory | Welfare Footprint Project | Welfare Footprint Project based on various sources. - Algeria: [Windhorst, 2017. Housing system in laying hen husbandry (part 2). Table 4.](https://zootecnicainternational.com/poultry-facts/housing-systems-laying-hen-husbandry-second-part/) - Argentina: [IEC Annual Review 2019.](http://internationalegg.com/wp-content/uploads/2019/10/IEC-Annual-Review-2019.pdf) - Armenia: [Windhorst, 2017. Housing system in laying hen husbandry (part 2). Table 4.](https://zootecnicainternational.com/poultry-facts/housing-systems-laying-hen-husbandry-second-part/) - Australia: [IEC Annual Review 2019.](http://internationalegg.com/wp-content/uploads/2019/10/IEC-Annual-Review-2019.pdf) - Austria: [IEC Annual Review 2019.](http://internationalegg.com/wp-content/uploads/2019/10/IEC-Annual-Review-2019.pdf) - Azerbaijan: [Windhorst, 2017. Housing system in laying hen husbandry (part 2). Table 4.](https://zootecnicainternational.com/poultry-facts/housing-systems-laying-hen-husbandry-second-part/) - Bangladesh: [Windhorst, 2020. Dynamics and patterns of the egg industry in the Emerging Market Countries between 2007 and 2017. Zootecnica International.](https://zootecnicainternational.com/featured/dynamics-and-patterns-of-the-egg-industry-in-the-emerging-market-countries-between-2007-and-2017/) - Belarus: [Windhorst, 2017. Housing system in laying hen husbandry (part 2). Table 4.](https://zootecnicainternational.com/poultry-facts/housing-systems-laying-hen-husbandry-second-part/) - Belgium: [Sector Dialogues EU-BR 2019 (Ministry of Agriculture).](https://www.gov.br/agricultura/pt-br/assuntos/producao-animal/arquivos-publicacoes-bem-estar-animal/XGUIAGALINHAS2019.pdf/view) - Brazil: [IBGE: Produção de Ovos de Galinha - POG (2019). Proportions in 'Sector Dialogues EU-BR 2019 (Ministry of Agriculture). '.](https://www.ibge.gov.br/estatisticas/economicas/agricultura-e-pecuaria/9216-pesquisa-trimestral-da-producao-de-ovos-de-galinha.html?edicao=26352&t=downloads; https://www.gov.br/agricultura/pt-br/assuntos/producao-animal/arquivos-publicacoes-… | https://welfarefootprint.org/research-projects/laying-hens/ | 2023-08-01 | 2022-12-06 | ||||||||
| 55 | Inflation, consumer prices (annual %) - United States (2010 = 100) | Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. | World Bank | Inflation, consumer prices (World Bank) | World Bank | https://api.worldbank.org/v2/country/us/indicator/FP.CPI.TOTL? | https://api.worldbank.org/v2/country/us/indicator/FP.CPI.TOTL? | 2023-09-19 | {
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| 56 | Under-five Mortality | This file contains data on child mortality rates compiled by Gapminder, based on multiple sources: - 1800 to 1950: Gapminder v7 ( In some cases this is also used for years after 1950, see below.) This was compiled and documented by Mattias Lindgren from many sources, but mainly based on www.mortality.org and the series of books called International Historical Statistics by Brian R Mitchell, which often have historic estimates of Infant mortality rate which were converted to Child mortality through regression. See detailed documentation of v7 below. - 1950 to 2018: UNIGME, is a data collaboration project between UNICEF, WHO, UN Population Division and the World Bank. They released new estimates of child mortality for countries and a global estimate on September 19, 2019, which is available at www.childmortality.org. In this dataset 70% of all countries have estimates between 1970 and 2016, while roughly half the countries also reach back to 1950. - 1950 to 2100: UN WPP, World Population Prospects 2019 provides annual data for Child mortality rate for all countries in the annually interpolated demographic indicators, called WPP2019_INT_F01_ANNUAL_DEMOGRAPHIC_INDICATORS.xlsx In general, We connected our historic estimates from Gapminder v7 to the earliest available year with data in UNIGME or if it didn't have data, we used UN POP from 1950 and on, until UNIGME had data. Depending on data availability, different countries are moving between sources at different points in the period 1930-1980.After 2018, we have extended the UN IGME series with the UN POP numbers. But we haven't extended it with the UN POP actual numbers but instead, we extended it with the UN POP expected change. The data is part of Gapminder effort to build a fact-based worldview by showing the big picture of global development. When we find multiple data sources that haven't been combined we combine them into one consistent timeseries. This often results in large data uncertainty, as the underlaying data-sources use different methodologies… | Gapminder based on UN IGME & UN WPP | Under-five Mortality Dataset v11, Gapminder (2020) | Gapminder | v11 | https://docs.google.com/spreadsheets/d/1Av7eps_zEK73-AdbFYEmtTrwFKlfruBYXdrnXAOFVpM/edit#gid=501532268 | https://docs.google.com/spreadsheets/d/1Av7eps_zEK73-AdbFYEmtTrwFKlfruBYXdrnXAOFVpM/export?format=xlsx | 2023-09-21 | 2020-01-30 | {
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| 57 | Child mortality rate under age five v7 | Child mortality rate under age five | Estimates of child mortality rate (under five years old) per 1,000 live births. This data has been compiled by Klara Johansson and Mattias Lindgren (Gapminder) from a selection of sources: * Human Mortality Database * Child Mortality Estimates from the UN Inter-agency Group for Child Mortality Estimation. * Gapminder model based on infant mortality ratio (version 2) https://www.gapminder.org/data/documentation/gd002/ * Model estimates based on Gapminder's life expectancy data combined with model life tables, with some additional adjustments | Gapminder | Compiled and documented by Klara Johansson and Mattias Lindgren from Gapminder from many sources including: Human Mortality Database; UN Inter-agency Group for Child Mortality Estimation; Gapminder models based on life expectancy; Gapminder models based on infant mortality rates. | Gapminder | v7 | https://www.gapminder.org/data/documentation/gd005/ | https://www.gapminder.org/documentation/documentation/gapdata005%20v7.xlsx | 2023-09-18 | 2015-01-01 | {
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| 58 | Project Mars | Project Mars. This dataset records new data on 229 unique belligerents in 252 conventional wars fought between 1800 and 2011. Project Mars introduces new data about these belligerents, including their level of prewar military inequality, and new measures of battlefield performance, including desertion, defection, and fratricidal violence. The latest version is Version 1.1. (2022-02-08). You can find more details on the dataset in its notes at https://web.archive.org/web/20230717140532/https://dataverse.harvard.edu/file.xhtml?fileId=5857673&version=2.0 | Jason Lyall | Lyall, Jason. Divided Armies: Inequality and Battlefield Performance in Modern War (Princeton, NJ: Princeton University Press, 2020) | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DUO7IE | https://dataverse.harvard.edu/api/access/datafile/5857675 | 2023-09-21 | 2020-10-26 | {
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"name": "Public Domain"
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| 59 | War data - Inter-State Dyadic | War Data | The Correlates of War (COW) Project has utilized a classification of wars that is based upon the status of territorial entities, in particular focusing on those that are classified as members of the inter-state system (referred to as “states”). This dataset encompasses wars that take place between or among the recognized states, or inter-state wars. The dyadic war dataset is built and fully compatible with the dyadic MID dataset (Maoz et al. 2019). It provides dyadic records of interstate wars over the period of 1816-2010, with a dyad-year unit of analysis. Dyad refers to the fact that the dataset is structured at country-conflict level (instead of conflict-level). | The COW Project introduced COW Wars v4.0, 1816-2007 in 2010. The paper [“The COW Typology of War: Defining and Categorizing Wars (Version 4 of the Data)](https://correlatesofwar.org/wp-content/uploads/COW-Website-Typology-of-war-v4.pdf)” by Meredith Reid Sarkees gives an overview of the COW war typology, the descriptions of the basic variables, coding rules and some of the changes since “Resort to Arms.” In March 2010, the New COW War List was released. On June 30, 2010, the Non-State War Data (v4.0) became available. On October 28, 2010, the Intra-State War Data (v4.0) was released and on April 6, 2020 the Intra-State War Data (v5.1) became available online. On March 1, 2011, the Inter-State War Data (v4.0) became available online. Finally, we released the Extra-State War Data (v4.0) on December 8, 2011. | Correlates of War | Sarkees, Meredith Reid and Frank Wayman (2010). Resort to War: 1816 – 2007. Washington DC: CQ Press. | COW | https://correlatesofwar.org/data-sets/cow-war/ | https://correlatesofwar.org/wp-content/uploads/Dyadic-Interstate-War-Dataset.zip | 2023-09-21 | 2020-04-06 | {
"url": "https://correlatesofwar.org/data-sets/",
"name": "Correlates of War terms"
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| 60 | Battle deaths | This project has generated a dataset on battle deaths (number of soldiers and civilians killed in combat) in state-based armed conflicts for the period 1946-2008. The dataset is compatible with the UCDP/PRIO Armed Conflict Dataset for the period 1946–2008. A longer time series (1900-1997) compatible with the Correlates of War database (http://www.correlatesofwar.org/data-sets) was included in the first version (v1) of the Battle Deaths Dataset, available from the downloads section (https://www.prio.org/utility/DownloadFile.ashx?id=7&type=datasetfile). For academic exchanges on the PRIO data, see the following articles and rebuttals: - Lacina & Gleditsch (2005) 'Monitoring trends in global combat: A new dataset of battle deaths' (https://www.semanticscholar.org/paper/Monitoring-Trends-in-Global-Combat%3A-A-New-Dataset-Lacina-Gleditsch/0c4ff27fff986bc30112ac59ad6afbd7b719ad17?p2df). - Obermeier et al. (2008) 'Fifty years of violent war deaths from Vietnam to Bosnia' (https://www.jstor.org/stable/20510162) - Spagat et al. (2009) 'Estimating war deaths: An arena of contestation' (https://www.jstor.org/stable/20684623?seq=1#page_scan_tab_contents). - Gohdes & Price (2012) 'First things first: Assessing data quality before model quality' (https://www.jstor.org/stable/24545604?seq=1#page_scan_tab_contents). - Lacina & Gleditsch (2012) 'The waning of war is real: A response to Gohdes and Price' (https://www.jstor.org/stable/24545604?seq=1#page_scan_tab_contents) There are no plans to update the PRIO battle deaths dataset beyond 2008. The Uppsala Conflict Data Program (UCDP) maintains a similar dataset from 1989, which is updated annually. For this dataset in different formats, as well as a codebook, go to the UCDP Battle-Related Deaths Dataset (https://ucdp.uu.se/downloads/). While the definitions are very similar, the coding practices may differ somewhat, and we generally recommend users of the two datasets to point out that these are two different, although closely related, datasets. | Peace Research Institute Oslo | Bethany Lacina and Nils Petter Gleditsch, 2005. "Monitoring Trends in Global Combat: A New Dataset of Battle Deaths." European Journal of Population: 21(2–3): 145–166. The data are available at http://www.prio.no/CSCW/Datasets/Armed-Conflict/Battle-Deaths/ | PRIO | v3.1 | https://www.prio.org/data/1 | https://cdn.cloud.prio.org/files/d21ef702-a546-45a8-b3c9-5b520dcc1239/PRIO%20Battle%20Deaths%20Dataset%2031.xls?inline=true | 2023-09-21 | 2017-01-30 | {
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"name": "PRIO terms"
} |
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| 61 | Conflicts Catalog | The Conflict Catalog is a dataset by Dr Peter Brecke. Brecke says that "the Conflict Catalog within that Excel file is an unfinished product." and that considering the data that he has "that is not yet in the Conflict Catalog, [he] can easily believe the catalog growing by 20% or more." This dataset contains all violent conflicts at any location in the world since 1400 AD (Brecke 1999: 4). This year has been chosen because data earlier was even more flawed: “The 1400 AD temporal threshold corresponds to the one set by Luard (1987), lies between significant dates for Chinese (1366) and European and American (1492) populations, and demarcates a point before which the quality and extent of data about many parts of the world drop off precipitously (Brecke 1999: 4). You can find more notes at https://bpb-us-w2.wpmucdn.com/sites.gatech.edu/dist/1/19/files/2018/09/Notes-about-Conflict-Catalog.pdf | Brecke | Brecke, P. (1999, October). Violent conflicts 1400 AD to the present in different regions of the world. In 1999 Meeting of the Peace Science Society. | https://brecke.inta.gatech.edu/research/conflict/ | https://brecke.inta.gatech.edu/wp-content/uploads/sites/19/2018/09/Conflict-Catalog-18-vars.xlsx | 2023-09-21 | 1999-10-08 | {
"url": "https://creativecommons.org/licenses/by/4.0/",
"name": "CC BY 4.0"
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| 62 | Militarized Interstate Disputes | Version 5 of the Militarized Interstate Dispute (MID) data collection compiled by the Correlates of War Project provides information about conflicts in which one or more states threaten, display, or use force against one or more other states between 1816 and 2014. By definition, “Militarized interstate disputes are united historical cases of conflict in which the threat, display or use of military force short of war by one member state is explicitly directed towards the government, official representatives, official forces, property, or territory of another state. Disputes are composed of incidents that range in intensity from threats to use force to actual combat short of war” (Jones et al. 1996: 163). This dataset includes MIDA, MIDB, MIDI, and MIDIP. - MIDA: Data on MIDs from 1816-2014, at the dispute level. Contains one record per militarized dispute. - MIDB: Data on MIDs from 1816-2014, at the participant level. Contains one record per militarized dispute participant. - MIDI: Data on incidents within MIDs from 1993-2014, at the incident level. Contains one record per militarized incident. - MIDIP: Data on incidents within MIDs from 1993-2014, at the incident-participant level. Contains one record per participant in each incident. | Correlates of War | Palmer, Glenn, Roseanne W. McManus, Vito D’Orazio, Michael R. Kenwick, Mikaela Karstens, Chase Bloch, Nick Dietrich, Kayla Kahn, Kellan Ritter, Michael J. Soules. 2020. “The MID5 Dataset, 2011-2014: Procedures, Coding Rules, and Description.” Conflict Management and Peace Science, 39(4): 470-482. DOI: https://journals.sagepub.com/doi/full/10.1177/0738894221995743 | COW | v5.0 | https://correlatesofwar.org/data-sets/mids/ | https://correlatesofwar.org/wp-content/uploads/MID-5-Data-and-Supporting-Materials.zip | 2023-09-21 | 2020-11-09 | {
"url": "https://correlatesofwar.org/data-sets/",
"name": "Correlates of War terms"
} |
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| 63 | Militarized Interstate Events | The MIE data includes daily events data that correspond to the Jones, Bremer, and Singer (1997) coding rules, with some additional coding changes as described in the codebook. A Militarized Interstate Event (MIE) is a threat, display, or use of force by one state in the Correlates of War (CoW) international system against another state. We faithfully implement the coding rules described in Jones, Bremer and Singer (1996) and the changes to the coding rules made by CoW in the years since. Nevertheless, we also do make several coding rule changes to remove ambiguities in the rules and to provide additional information for researchers. The changes we make and rationale for them are described well in the manuscript. Of particular note, though, is that we have added an action code labeled "war battle" that describes sustained fights between opposing, organized armed forces. We no longer code "beginning a war" or "join ongoing war" as a militarized action; we only code threats, displays, or uses of force. We code fatality ranges for each event, discarding CoW's use of ordinal fatality scales and the fatality precision variable. This produces minimum and maximum estimated fatalities for each MIE, with no missing values, which can aggregate to meaningful ranges for confrontation-level, confrontation-participant-level, and dyad-year summaries. | Gibler and Miller | D. M. Gibler and S. V. Miller, "The Militarized Interstate Events (MIE) Dataset, 1816-2014." Conflict Management and Peace Science. Forthcoming. | https://internationalconflict.ua.edu/data-download/ | https://www.dropbox.com/s/2aq3xu23a4ril85/events.zip?dl=1 | 2023-09-21 | 2023-07-17 | {
"url": "https://internationalconflict.ua.edu/data-download/",
"name": "International Conflict Data Project terms"
} |
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| 64 | Armed Conflict | A conflict-year dataset with information on armed conflict where at least one party is the government of a state in the time period 1946-2022. You can find more notes at https://web.archive.org/web/20230624120457/https://ucdp.uu.se/downloads/ucdpprio/ucdp-prio-acd-231.pdf | Uppsala Conflict Data Program and Peace Research Institute Oslo | Davies, Shawn, Therese Pettersson & Magnus Öberg (2023). Organized violence 1989-2022 and the return of conflicts between states?. Journal of Peace Research 60(4) | UCDP/PRIO | version 23.1 | https://ucdp.uu.se/downloads/index.html#armedconflict | https://ucdp.uu.se/downloads/ucdpprio/ucdp-prio-acd-231-csv.zip | 2023-09-21 | 1970-01-01 | {
"url": "https://creativecommons.org/licenses/by/4.0/",
"name": "CC BY 4.0"
} |
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| 65 | Education and Mismatch Indicators (EMI) - Employment | With the aim of promoting international comparability, statistics presented on ILOSTAT are based on standard international definitions wherever feasible and may differ from official national figures. This series is based on the 13th ICLS definitions. For time series comparability, it includes countries that have implemented the 19th ICLS standards, for which data are also available in the Work Statistics -- 19th ICLS (WORK) database. The employment-to-population ratio is the number of persons who are employed as a percent of the total of working-age population. Data disaggregated by level of education are provided on the highest level of education completed, classified according to the International Standard Classification of Education (ISCED). Data may have been regrouped from national classifications, which may not be strictly compatible with ISCED. For more information, refer to the Education and Mismatch Indicators (EMI) database description. Data by age includes various age bands, usually including but not limited to youth (ages 15-24), prime-age workers (age 25-54), and older workers (ages 55+). Data by sex includes data on both sexes (total), men (male) and women (female). Educational attainment based on the International Standard Classification of Education (ISCED). Categories include less than basic (less than primary education), basic (primary and lower secondary education), intermediate (upper secondary and post-secondary non-tertiary education) and advanced (short-cycle tertiary education, bachelor's, master's and doctoral or equivalent levels). | International Labour Organization | Education and Mismatch Indicators (EMI) - Employment. International Labour Organization. ILO modelled estimates database, ILOSTAT. https://ilostat.ilo.org/data/. | ILOSTAT | https://ilostat.ilo.org/data/ | https://www.ilo.org/shinyapps/bulkexplorer45/session/122788c35f3169da500a18da4cf708a8/download/download?w= | 2023-09-19 | 2023-09-09 | {
"url": "https://www.ilo.org/global/copyright/lang--en/index.htm",
"name": "CC BY 4.0"
} |
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| 66 | Hours of work | With the aim of promoting international comparability, statistics presented on ILOSTAT are based on standard international definitions wherever feasible and may differ from official national figures. This series is based on the 13th ICLS definitions. For time series comparability, it includes countries that have implemented the 19th ICLS standards, for which data are also available in the Work Statistics -- 19th ICLS (WORK) database. Data on hours of work are presented, whenever possible, on the basis of the average number of hours of work per week, and with reference to hours worked in the main (paid) job regardless of working time arrangements (e.g. full-time and part-time). Data disaggregated by economic activity are provided according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Data may have been regrouped from national classifications, which may not be strictly compatible with ISIC. Data disaggregated by level of education are provided on the highest level of education completed, classified according to the International Standard Classification of Education (ISCED). Data may have been regrouped from national classifications, which may not be strictly compatible with ISCED. For more information, refer to the Wages and Working Time Statistics (COND) database description. Data by sex includes data on both sexes (total), men (male) and women (female). Economic activity based on the International Standard Industrial Classification of All Economic Activities (ISIC). Educational attainment based on the International Standard Classification of Education (ISCED). Categories include less than basic (less than primary education), basic (primary and lower secondary education), intermediate (upper secondary and post-secondary non-tertiary education) and advanced (short-cycle tertiary education, bachelor's, master's and doctoral or equivalent levels). | International Labour Organization | Hours of work. International Labour Organization. ILO modelled estimates database, ILOSTAT. https://ilostat.ilo.org/data/. | ILOSTAT | https://ilostat.ilo.org/data/ | https://www.ilo.org/shinyapps/bulkexplorer18/session/7b39b17ad4d1b311e23c3828be5d8d58/download/download?w= | 2023-09-19 | 2023-09-09 | {
"url": "https://www.ilo.org/global/copyright/lang--en/index.htm",
"name": "CC BY 4.0"
} |
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| 67 | Education and Mismatch Indicators (EMI) - Unemployment | With the aim of promoting international comparability, statistics presented on ILOSTAT are based on standard international definitions wherever feasible and may differ from official national figures. This series is based on the 13th ICLS definitions. For time series comparability, it includes countries that have implemented the 19th ICLS standards, for which data are also available in the Work Statistics -- 19th ICLS (WORK) database. The unemployment rate conveys the number of persons who are unemployed as a percent of the labour force (i.e., the employed plus the unemployed). The unemployed comprise all persons of working age who were: a) without work during the reference period, i.e. were not in paid employment or self-employment; b) currently available for work, i.e. were available for paid employment or self-employment during the reference period; and c) seeking work, i.e. had taken specific steps in a specified recent period to seek paid employment or self-employment. Data disaggregated by level of education are provided on the highest level of education completed, classified according to the International Standard Classification of Education (ISCED). Data may have been regrouped from national classifications, which may not be strictly compatible with ISCED. For more information, refer to the Education and Mismatch Indicators (EMI) database description. Data by age includes various age bands, usually including but not limited to youth (ages 15-24), prime-age workers (age 25-54), and older workers (ages 55+). Data by sex includes data on both sexes (total), men (male) and women (female). Educational attainment based on the International Standard Classification of Education (ISCED). Categories include less than basic (less than primary education), basic (primary and lower secondary education), intermediate (upper secondary and post-secondary non-tertiary education) and advanced (short-cycle tertiary education, bachelor's, master's and doctoral or equivalent levels). | International Labour Organization | Education and Mismatch Indicators (EMI) - Unemployment. International Labour Organization. ILO modelled estimates database, ILOSTAT. https://ilostat.ilo.org/data/. | ILOSTAT | https://ilostat.ilo.org/data/ | https://www.ilo.org/shinyapps/bulkexplorer26/session/47df8a26e3781c0a42c6277b4f2d0354/download/download?w= | 2023-09-19 | 2023-09-10 | {
"url": "https://www.ilo.org/global/copyright/lang--en/index.htm",
"name": "CC BY 4.0"
} |
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| 68 | Human Mortality Database | The Human Mortality Database (HMD) contains original calculations of death rates and life tables for national populations (countries or areas), as well as the input data used in constructing those tables. The input data consist of death counts from vital statistics, plus census counts, birth counts, and population estimates from various sources. # Scope and basic principles We continue to add new data series to this collection. However, the database is limited by design to populations where death registration and census data are virtually complete, since this type of information is required for the uniform method used to reconstruct historical data series. As a result, the countries and areas included here are relatively wealthy and for the most part highly industrialized. In a companion project, we are also developing the [Human Lifetable Database (HLD)](http://www.lifetable.de/) , which includes life tables constructed by other individuals or institutions using a variety of techniques. Thus, the HLD contains mortality estimates for some countries that could not be included in the HMD. The main goal of the Human Mortality Database is to document the longevity revolution of the modern era and to facilitate research into its causes and consequences. As much as possible, we have followed four guiding principles in creating this database: comparability, flexibility, accessibility, reproducibility. We have tried to provide complete documentation of the data available through this site. Users may start by reading a [brief summary](https://www.mortality.org/File/GetDocument/Public/Docs/MP-Summary.pdf) of how individual data sets are constructed. A complete description of our methodology is contained in the [Methods Protocol](https://www.mortality.org/File/GetDocument/Public/Docs/MethodsProtocolV6.pdf) (available in PDF format). Documentation that is specific to an individual population (including data sources) is provided through links within each country section. You are welcome to download and analyze any d… | Various sources | HMD. Human Mortality Database. Max Planck Institute for Demographic Research (Germany), University of California, Berkeley (USA), and French Institute for Demographic Studies (France). Available at www.mortality.org. | HMD | https://www.mortality.org/Data/ZippedDataFiles | 2023-09-18 | 2023-09-13 | {
"url": "https://www.mortality.org/Data/UserAgreement",
"name": "CC BY 4.0"
} |
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| 69 | World Population Prospects | World Population Prospects 2022 is the 27th edition of the official estimates and projections of the global population that have been published by the United Nations since 1951. The estimates are based on all available sources of data on population size and levels of fertility, mortality and international migration for 237 countries or areas. More details at https://population.un.org/wpp/Publications/. | United Nations | United Nations, Department of Economic and Social Affairs, Population Division (2022). World Population Prospects 2022, Online Edition. | United Nations - World Population Prospects (2022) | UN WPP | https://population.un.org/wpp/Download/ | 2022-09-09 | 2022-07-11 | {
"url": "https://population.un.org/wpp/Download/Standard/MostUsed/",
"name": "CC BY 3.0 IGO"
} |
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| 70 | Population | Gapminder | Gapminder Population v7 (2022). Gapminder's population data is divided into two chunks: One long historical trend for the global population that goes back to 10,000 BC. And the second chunk is country estimates that only reaches back to 1800. For the first chunk, several sources were used. You can learn more at https://docs.google.com/spreadsheets/d/1hkLbEilJbl630IG68q-aQJlUjuTFm9b_12nQMVd1sZM/edit#gid=0. For the second chunk, Gapminder uses UN population data between 1950 to 2100 from the UN Population Division World Population Prospects 2019, and the forecast to the year 2100 uses their medium-fertility variant. For years before 1950, this version uses the data documented in greater detail by Mattias Lindgren in version 3. The main source was Angus Maddison's data, which CLIO Infra Project maintained and improved. Note that when combining version 3 with the new UN data, the trends for a few countries didn't match up in the overlapping year 1950. Minor adjustments were made to the years before and after to smooth out discrepancies between the two sources and avoid spurious jumps in Gapminder's visualisations. Visit https://www.gapminder.org/data/documentation/gd003/ to learn more about the methodology used and the data from back to 10,000 BC. | Gapminder - Population v7 (2022) | Gapminder | v7 | http://gapm.io/dpop | https://gapm.io/dl_popv7 | 2023-03-31 | 2022-10-19 | {
"url": "https://docs.google.com/document/d/1-RmthhS2EPMK_HIpnPctcXpB0n7ADSWnXa5Hb3PxNq4/edit?usp=sharing",
"name": "CC BY 4.0"
} |
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| 71 | Systema Globalis | Gapminder | Gapminder - Systema Globalis (2023). | Gapminder - Systema Globalis (2022) | Gapminder | https://github.com/open-numbers/ddf--gapminder--systema_globalis | 2023-03-31 | 2023-02-21 | {
"url": "https://github.com/open-numbers/ddf--gapminder--systema_globalis",
"name": "CC BY 4.0"
} |
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| 72 | HYDE | HYDE is an internally consistent combination of updated historical population (gridded) estimates and land use for the past 12,000 years. Categories include cropland, with a new distinction into irrigated and rain fed crops (other than rice) and irrigated and rain fed rice. Also grazing lands are provided, divided into more intensively used pasture, converted rangeland and non-converted natural (less intensively used) rangeland. Population is represented by maps of total, urban, rural population and population density as well as built-up area. | PBL Netherlands Environmental Assessment Agency | Klein Goldewijk, K., A. Beusen, J.Doelman and E. Stehfest (2017), Anthropogenic land use estimates for the Holocene; HYDE 3.2, Earth System Science Data, 9, 927-953. | HYDE (2017) | HYDE | 3.2 | https://www.pbl.nl/en/image/links/hyde | https://public.yoda.uu.nl/geo/UU01/MO2FF3.html | 2021-10-01 | 1970-01-01 | {
"url": "https://public.yoda.uu.nl/geo/UU01/MO2FF3.html",
"name": "CC BY 3.0"
} |
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| 73 | Population | Our World in Data builds and maintains a long-run dataset on population by country, region, and for the world, based on various sources. You can find more information on these sources and how our time series is constructed on this page: https://ourworldindata.org/population-sources | Various sources | The long-run data on population is based on various sources, described on this page: https://ourworldindata.org/population-sources | Population based on various sources (2023) | Population | https://ourworldindata.org/population-sources | 2023-03-31 | 2023-03-31 | {
"name": "CC BY 4.0"
} |
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| 74 | Chick culling laws | Male baby chicks are commonly killed in laying hens hatcheries all around the world, as they provide no value for the egg production industry. Only a minority of country has laws to ban this practice. This dataset is a compilation of evidence (from official institutions and in some cases from the news) of chick culling taking place in a country, and, in some cases, of existing laws banning it. | Various sources | Evidence of laws banning chick culling, and evidence of chick culling being practiced without any ban, has been gathered from various sources for different countries. Some of those sources were extracted from [a report by the European Institute for Animal Law & Policy](https://animallaweurope.com/wp-content/uploads/2023/01/Animal-Law-Europe-%E2%80%93-Chick-Killing-Report-2023.pdf): "Chick and Duckling Killing: Achieving an EU-Wide Prohibition" (White paper, January 2023) by Alice Di Concetto, Olivier Morice, Matthias Corion, Simão Santos. - Austria: Banned. Source: [Section 6(2), Animal Welfare Act.](https://www.ris.bka.gv.at/GeltendeFassung.wxe?Abfrage=Bundesnormen&Gesetzesnummer=20003541) Date effective: 2022-07-18. The prohibition was adopted in July 2022 through a law amending the Animal Welfare Act. Scope excludes male chicks used as feed in zoos or for birds of prey. Destruction of non-hatched is allowed up until 14 day of incubation. - France: Banned. Source: [R 214-17 of the Rural Code.](https://www.legifrance.gouv.fr/codes/article_lc/LEGIARTI000028969470) Date effective: 2022-12-31. The prohibition was adopted on January 2022 through a regulation. In ovo sexing technologies benefit from a five-year nonobsolescence clause. Male chicks for animal food production benefit from an exemption. Destruction of non-hatched is allowed up until 15 day of incubation. - Germany: Banned. Source: [Section 3 (4c), Animal Welfare Act.](https://www.gesetze-im-internet.de/tierschg/BJNR012770972.html) Date effective: 2022-01-01. The prohibition was adopted on January 2022, through a regulation which prohibits the culling of one-day old chicks by 2022, and the culling of fertilized eggs passed the 6th day of incubation. Note: No derogation. - Italy: Banned but not yet in effect. Source: [Article 18, European Delegation Law (22G00136).](https://www.normattiva.it/uri-res/N2Ls?urn:nir:stato:legge:2022-08-04;127) Date effective: 2026-12-31. The law prohibits the selective killing of male chicks by December 31st, 2026 and provides… | https://animallaweurope.com/news/ | 2023-09-01 | 2023-09-01 | |||||||
| 75 | Babies per woman (total fertility rate) | **Sources:** — 1800 to 1950 (and in some cases also years after 1950): Gapminder v6 which were compiled and documented by Mattias Lindgren, see previous versions further down on this page. — 1950 to 2014: In most cases we use the latest UN estimates from World Population Prospects 2017 published in the file with Annually interpolated demographic indicators, called WPP2017_INT_F01_ANNUAL_DEMOGRAPHIC_INDICATORS.xlsx , accessed on September 2, 2017. — 2015 – 2099: We use the UN forecast of future fertility rate in all countries, called median fertility variant. | Gapminder | Free data from www.gapminder.org | Gapminder | v12 | https://www.gapminder.org/data/documentation/gd008/ | https://github.com/Gapminder-Indicators/tfr/raw/master/tfr-by-gapminder.xlsx | 2023-09-22 | 2017-12-12 | {
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"name": "CC BY 4.0"
} |
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| 76 | Peace data | This data article reviews the revised “peace data,” describing the motivations behind them and offering a general description of the different peace scale levels—severe rivalry, lesser rivalry, negative peace, warm peace, and security community respectively. A brief overview of the evolution of peace and rivalry for the 1900–2015 period is presented. Peace in the international system has increased over time, with a decline in rivalries and an increase in security communities being the most notable findings. The article concludes with a discussion of how the peace data might be used to address new questions in international relations research or reconfigure existing ones. | Diehl et al. | Paul F Diehl & Gary Goertz & Yahve Gallegos, 2021. "Peace data: Concept, measurement, patterns, and research agenda," Conflict Management and Peace Science, Peace Science Society (International), vol. 38(5), pages 605-624, September. | v3.01 | https://drive.google.com/drive/folders/1HKZ6FQmK09VJ5mzzEzIwkOawf7tb6Z63?usp=sharing | 2023-09-27 | 2023-08-10 | {
"url": "https://creativecommons.org/licenses/by/4.0/",
"name": "CC BY 4.0"
} |
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| 77 | Natural disasters | EM-DAT data includes all categories classified as "natural disasters" (distinguished from technological disasters, such as oil spills and industrial accidents). This includes those from drought, earthquakes, extreme temperatures, extreme weather, floods, fogs, glacial lake outbursts, landslide, dry mass movements, volcanic activity, and wildfires. EM-DAT defines the following variables: - Affected: People requiring immediate assistance during a period of emergency, i.e. requiring basic survival needs such as food, water, shelter, sanitation and immediate medical assistance. - Injured: People suffering from physical injuries, trauma or an illness requiring immediate medical assistance as a direct result of a disaster. - Homeless: Number of people whose house is destroyed or heavily damaged and therefore need shelter after an event. - Total affected: In EM-DAT, it is the sum of the injured, affected and left homeless after a disaster. - Estimated economic damage: The amount of damage to property, crops, and livestock. In EM-DAT estimated damage are given in US$ ('000). For each disaster, the registered figure corresponds to the damage value at the moment of the event, i.e. the figures are shown true to the year of the event. - Total deaths: In EM-DAT, it is the sum of deaths and missing. EM-DAT defines the following types of disasters: - Drought: An extended period of unusually low precipitation that produces a shortage of water for people, animals and plants. Drought is different from most other hazards in that it develops slowly, sometimes even over years, and its onset is generally difficult to detect. Drought is not solely a physical phenomenon because its impacts can be exacerbated by human activities and water supply demands. Drought is therefore often defined both conceptually and operationally. Operational definitions of drought, meaning the degree of precipitation reduction that constitutes a drought, vary by locality, climate and environmental sector. - Earthquake: Sudden movement of a block of … | EM-DAT, CRED / UCLouvain | EM-DAT, CRED / UCLouvain, Brussels, Belgium – [www.emdat.be](www.emdat.be). | https://emdat.be/ | 2023-09-20 | 2023-09-20 | {
"url": "https://public.emdat.be/about",
"name": "UCLouvain 2022"
} |
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| 78 | World Development Indicators | The World Development Indicators (WDI) is the primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates. | World Bank and OECD | World Bank national accounts data, and OECD National Accounts data files. Data extracted from the World Bank's World Development Indicators (WDI). | https://datacatalog.worldbank.org/search/dataset/0037712/World-Development-Indicators | http://databank.worldbank.org/data/download/WDI_csv.zip | 2023-05-29 | 2023-05-11 | {
"name": "CC BY 4.0"
} |
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| 79 | Global Carbon Budget | The Global Carbon Budget 2022 has over 105 contributors from 80 organizations and 18 countries. It was founded by the Global Carbon Project international science team to track the trends in global carbon emissions and sinks and is a key measure of progress towards the goals of the Paris Agreement. It's widely recognized as the most comprehensive report of its kind. The 2022 report was published at COP27 in Egypt on Friday 11th November. | Global Carbon Project | Friedlingstein, P., O'Sullivan, M., Jones, M. W., Andrew, R. M., Gregor, L., Hauck, J., Le Quéré, C., Luijkx, I. T., Olsen, A., Peters, G. P., Peters, W., Pongratz, J., Schwingshackl, C., Sitch, S., Canadell, J. G., Ciais, P., Jackson, R. B., Alin, S. R., Alkama, R., Arneth, A., Arora, V. K., Bates, N. R., Becker, M., Bellouin, N., Bittig, H. C., Bopp, L., Chevallier, F., Chini, L. P., Cronin, M., Evans, W., Falk, S., Feely, R. A., Gasser, T., Gehlen, M., Gkritzalis, T., Gloege, L., Grassi, G., Gruber, N., Gürses, Ö., Harris, I., Hefner, M., Houghton, R. A., Hurtt, G. C., Iida, Y., Ilyina, T., Jain, A. K., Jersild, A., Kadono, K., Kato, E., Kennedy, D., Klein Goldewijk, K., Knauer, J., Korsbakken, J. I., Landschützer, P., Lefèvre, N., Lindsay, K., Liu, J., Liu, Z., Marland, G., Mayot, N., McGrath, M. J., Metzl, N., Monacci, N. M., Munro, D. R., Nakaoka, S.-I., Niwa, Y., O'Brien, K., Ono, T., Palmer, P. I., Pan, N., Pierrot, D., Pocock, K., Poulter, B., Resplandy, L., Robertson, E., Rödenbeck, C., Rodriguez, C., Rosan, T. M., Schwinger, J., Séférian, R., Shutler, J. D., Skjelvan, I., Steinhoff, T., Sun, Q., Sutton, A. J., Sweeney, C., Takao, S., Tanhua, T., Tans, P. P., Tian, X., Tian, H., Tilbrook, B., Tsujino, H., Tubiello, F., van der Werf, G. R., Walker, A. P., Wanninkhof, R., Whitehead, C., Willstrand Wranne, A., Wright, R., Yuan, W., Yue, C., Yue, X., Zaehle, S., Zeng, J., and Zheng, B.: Global Carbon Budget 2022, Earth Syst. Sci. Data, 14, 4811-4900, https://doi.org/10.5194/essd-14-4811-2022, 2022. | https://globalcarbonbudget.org/ | https://zenodo.org/record/7215364/files/GCB2022v27_MtCO2_flat.csv | 2023-04-28 | 2022-11-11 | {
"url": "https://zenodo.org/record/7215364",
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} |
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| 80 | Global Plastics Outlook - Plastics use by application | This dataset gives global estimates of plastic use, broken down by application type. The use of primary plastics is estimated from regional consumption data, assuming a consistent split by polymer type across different applications globally, as per Ryberg et al. (2019). Historical values (data from before 2015) are extrapolated using the evolution model in Geyer, Jambeck and Law (2017). The use of secondary plastics is calculated using recycling and recycling loss rates, as detailed in the GPO annex. These plastic use data are then related to economic flows in the OECD ENV-Linkages model to track changes over time. The total plastic use is the combined amount of primary and secondary plastic use. | This dataset provides estimates of plastics use at the global level by application. Primary plastics use is estimated using regional consumption by application data from Ryberg et al. (2019). An assumption of the split by polymer by application is made that it is homogenous to the global values. Histroical values (pre-2015 data) is extrapolated from 2015 data using the global evolution contained in Geyer, Jambeck and Law (2017). Secondary plastics use are derived using recycling rates and recycling loss rates, as described in the GPO annex. The plastics use data is associated with the economic flows in the OECD ENV-Linkages model to estimate changes over time. The total plastics use is equal to the sum of primary and secondary plastics use. | OECD | OECD (2022), Global Plastics Outlook, https://stats.oecd.org/viewhtml.aspx?datasetcode=PLASTIC_USE_10&lang=en, accessed on 21 September 2023 | https://stats.oecd.org/viewhtml.aspx?datasetcode=PLASTIC_USE_10&lang=en | 2023-09-21 | 2022-02-09 | {
"url": "https://www.oecd.org/termsandconditions",
"name": "CC BY 4.0"
} |
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| 81 | Global Plastics Outlook - Plastic leakage to aquatic environments - projections | This dataset offers projections between 2019 and 2060 of plastic leakage to aquatic environments across 15 global regions. | This dataset provides estimates of plastics leakage for the 15 global regions of the OECD ENV-Linkages model, detailed in the Annex of the OECD Global Plastics Outlook. This database provides estimates for: - Leakage from mismanaged waste and litter to aquatic environments - Transport to oceans - Accumulated stock of plastics in rivers and lakes - Accumulated stock of plastics in oceans Plastic leakages to aquatic environments and the subcategory trasport to oceans are estimated by applying the methodology adapted from Lebreton and Andrady (2019), on OECD ENV-Linkages model outputs and plastic leakage from mismanaged and litter. The accumulated stock of plastics leakages in rivers and lakes corresponds to the net cumulative sum of leakages in rivers and lakes from 1951 onwards. The accumulated stock of plastics leakages in oceans corresponds to the net cumulative sum of leakages to oceans from 1951 onwards. | OECD | OECD (2022), Global Plastics Outlook, https://stats.oecd.org/viewhtml.aspx?datasetcode=PLASTIC_LEAKAGE_V2_2&lang=en, accessed on 21 September 2023 | https://stats.oecd.org/viewhtml.aspx?datasetcode=PLASTIC_LEAKAGE_V2_2&lang=en | 2023-09-21 | 2022-05-05 | {
"url": "https://www.oecd.org/termsandconditions",
"name": "CC BY 4.0"
} |
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| 82 | Global Plastics Outlook - Plastics waste in 2019 by region, polymer and application | This dataset provides estimates of plastics waste per polymer and application for the 15 global regions of the OECD ENV-Linkages model, detailed in the Annex of the OECD Global Plastics Outlook. Plastic waste is calculated as a function of plastics use (in volumes), following Geyer, Jambeck and Law (2017), using a methodology based on lifespan distributions. | OECD | OECD (2022), Global Plastics Outlook, https://stats.oecd.org/viewhtml.aspx?datasetcode=PLASTIC_WASTE_7&lang=en, accessed on 21 September 2023 | https://stats.oecd.org/viewhtml.aspx?datasetcode=PLASTIC_WASTE_7&lang=en | 2023-09-21 | 2022-02-09 | {
"url": "https://www.oecd.org/termsandconditions",
"name": "CC BY 4.0"
} |
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| 83 | Global Plastics Outlook - Plastics use by polymer | This dataset gives global estimates of plastic use, broken down by polymer type. The use of primary plastics is estimated from regional consumption data, assuming a consistent split by polymer type across different applications globally, as per Ryberg et al. (2019). Historical values (data from before 2015) are extrapolated using the evolution model in Geyer, Jambeck and Law (2017). The use of secondary plastics is calculated using recycling and recycling loss rates, as detailed in the GPO annex. These plastic use data are then related to economic flows in the OECD ENV-Linkages model to track changes over time. The total plastic use is the combined amount of primary and secondary plastic use. | This dataset provides estimates of plastics use at the global level by polymer. Primary plastics use is estimated using regional consumption by application data from Ryberg et al. (2019). An assumption of the split by polymer by application is made that it is homogenous to the global values. Histroical values (pre-2015 data) is extrapolated from 2015 data using the global evolution contained in Geyer, Jambeck and Law (2017). Secondary plastics use are derived using recycling rates and recycling loss rates, as described in the GPO annex. The plastics use data is associated with the economic flows in the OECD ENV-Linkages model to estimate changes over time. The total plastics use is equal to the sum of primary and secondary plastics use. | OECD | OECD (2022), Global Plastics Outlook, https://stats.oecd.org/viewhtml.aspx?datasetcode=PLASTIC_USE_8&lang=en, accessed on 21 September 2023 | https://stats.oecd.org/viewhtml.aspx?datasetcode=PLASTIC_USE_8&lang=en | 2023-09-21 | 2022-02-09 | {
"url": "https://www.oecd.org/termsandconditions",
"name": "CC BY 4.0"
} |
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| 84 | Global Plastics Outlook - Plastic leakage to the environment - projections | This dataset provides estimates of plastics leakages to the environment at a global level per source. Plastic leakages estimates from mismanaged waste and litter correspond to the average of the estimates caclulated using the methodology adapted from (Ryberg et al., 2019) and (Cottom, Cook and Velis, 2020) that were applied on OECD ENV-Linkages model outputs.Plastics leakages from all other sources correspond to the estimates caclulated using the methodology adapted from (Ryberg et al., 2019). | OECD | OECD (2022), Global Plastics Outlook ,https://stats.oecd.org/viewhtml.aspx?datasetcode=PLASTIC_LEAKAGE_V2_3&lang=en, accessed on 21 September 2023 | https://stats.oecd.org/viewhtml.aspx?datasetcode=PLASTIC_LEAKAGE_V2_3&lang=en | 2023-09-21 | 2022-05-05 | {
"url": "https://www.oecd.org/termsandconditions",
"name": "CC BY 4.0"
} |
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| 85 | Global Plastics Outlook - Plastics waste by region and end-of-life fate - projections | This dataset offers projections between 2019 and 2060 of plastic waste across 15 global regions separated by end-of-life fate. The calculations of plastic waste consider volumes of plastic use, accounting for losses through recycling and collected litter, based on the methodology by Geyer, Jambeck, and Law (2017). The waste is categorized into diverse management streams or end-of-life fates, factoring in variations in end-of-life shares across different countries. | This dataset provides estimates of plastics waste for the 15 global regions of the OECD ENV-Linkages model, detailed in the Annex of the OECD Global Plastics Outlook. This dataset provides estimates of plastics waste per end-of-life fate after accounting for recycling losses and collected littering. Plastic waste is calculated as a function of plastics use (in volumes), following Geyer, Jambeck and Law (2017), using a methodology based on lifespan distributions. Plastic waste is divided into different waste management streams (end-of-life fates) by applying end-of-life shares that vary across countries and that account for account for recycling losses and collected litter. The methodology to derive the end-of-life shares is explained in the Annex to the OECD Global Plastics Outlook. | OECD | OECD (2022), Global Plastics Outlook, https://stats.oecd.org/viewhtml.aspx?datasetcode=PLASTIC_WASTE_V2_1&lang=en, accessed on 21 September 2023 | https://stats.oecd.org/viewhtml.aspx?datasetcode=PLASTIC_WASTE_V2_1&lang=en | 2023-09-21 | 2023-05-05 | {
"url": "https://www.oecd.org/termsandconditions",
"name": "CC BY 4.0"
} |
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| 86 | Global Plastics Outlook - Plastic leakage to aquatic environments | This dataset provides estimates of plastics leakage for the 15 global regions of the OECD ENV-Linkages model, detailed in the Annex of the OECD Global Plastics Outlook. This database provides estimates for: - Leakage from mismanaged waste and litter to aquatic environments - Transport to oceans - Accumulated stock of plastics in rivers and lakes - Accumulated stock of plastics in oceans Plastic leakages to aquatic environments and the subcategory trasport to oceans are estimated by applying the methodology adapted from Lebreton and Andrady (2019), on OECD ENV-Linkages model outputs and plastic leakage from mismanaged and litter. The accumulated stock of plastics leakages in rivers and lakes corresponds to the net cumulative sum of leakages in rivers and lakes from 1951 onwards. The accumulated stock of plastics leakages in oceans corresponds to the net cumulative sum of leakages to oceans from 1951 onwards. | OECD | OECD (2022), Global Plastics Outlook, https://stats.oecd.org/viewhtml.aspx?datasetcode=PLASTIC_LEAKAGE_5&lang=en, accessed on 21 September 2023 | https://stats.oecd.org/viewhtml.aspx?datasetcode=PLASTIC_LEAKAGE_5&lang=en | 2023-09-21 | 2022-02-09 | {
"url": "https://www.oecd.org/termsandconditions",
"name": "CC BY 4.0"
} |
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| 87 | Global Plastics Outlook - Plastics use by region - projections | This dataset offers projections between 2019 and 2060 of plastic use across 15 global regions separated by end-of-life fate. | This dataset provides estimates of plastics use disaggregated by region for the baseline scenario. The plastics use data is associated with the economic flows in the OECD ENV-Linkages model to estimate changes over time. The total plastics use is equal to the sum of primary and secondary plastics use. | OECD | OECD (2022), Global Plastics Outlook, https://stats.oecd.org/viewhtml.aspx?datasetcode=PLASTIC_USE_V2_1&lang=en, accessed on 21 September 2023 | https://stats.oecd.org/viewhtml.aspx?datasetcode=PLASTIC_USE_V2_1&lang=en | 2023-09-21 | 2022-05-05 | {
"url": "https://www.oecd.org/termsandconditions",
"name": "CC BY 4.0"
} |
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| 88 | Global Plastics Outlook - Plastics waste by region and end-of-life fate | This dataset offers an estimation of plastic waste across 15 global regions separated by end-of-life fate. The calculations of plastic waste consider volumes of plastic use, accounting for losses through recycling and collected litter, based on the methodology by Geyer, Jambeck, and Law (2017). The waste is categorized into diverse management streams or end-of-life fates, factoring in variations in end-of-life shares across different countries. | This dataset provides estimates of plastics waste for the 15 global regions of the OECD ENV-Linkages model, detailed in the Annex of the OECD Global Plastics Outlook. This dataset provides estimates of plastics waste per end-of-life fate after accounting for recycling losses and collected littering. Plastic waste is calculated as a function of plastics use (in volumes), following Geyer, Jambeck and Law (2017), using a methodology based on lifespan distributions. Plastic waste is divided into different waste management streams (end-of-life fates) by applying end-of-life shares that vary across countries and that account for account for recycling losses and collected litter. The methodology to derive the end-of-life shares is explained in the Annex to the OECD Global Plastics Outlook. | OECD | OECD (2022), Global Plastics Outlook, https://stats.oecd.org/viewhtml.aspx?datasetcode=PLASTIC_WASTE_5&lang=en, accessed on 21 September 2023 | https://stats.oecd.org/viewhtml.aspx?datasetcode=PLASTIC_WASTE_5&lang=en | 2023-09-21 | 2023-02-22 | {
"url": "https://www.oecd.org/termsandconditions",
"name": "CC BY 4.0"
} |
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| 89 | Production, use, and fate of all plastics ever made (Geyer et al., 2017) | Production, use, and fate of all plastics ever made (Geyer et al.) | Data on annual waste production in million metric tons between 1950 and 2015. | Plastics have outgrown most man-made materials and have long been under environmental scrutiny. However, robust global information, particularly about their end-of-life fate, is lacking. By identifying and synthesizing dispersed data on production, use, and end-of-life management of polymer resins, synthetic fibers, and additives, we present the first global analysis of all mass-produced plastics ever manufactured. We estimate that 8300 million metric tons (Mt) as of virgin plastics have been produced to date. As of 2015, approximately 6300 Mt of plastic waste had been generated, around 9% of which had been recycled, 12% was incinerated, and 79% was accumulated in landfills or the natural environment. If current production and waste management trends continue, roughly 12,000 Mt of plastic waste will be in landfills or in the natural environment by 2050. | Geyer et al. (2017) | Roland Geyer et al. ,Production, use, and fate of all plastics ever made.Sci. Adv.3,e1700782(2017).DOI:10.1126/sciadv.1700782 | https://www.science.org/doi/10.1126/sciadv.1700782 | 2023-09-26 | 2017-07-19 | {
"url": "https://www.science.org/doi/10.1126/sciadv.1700782",
"name": "CC BY 4.0"
} |
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| 90 | Global Plastics Outlook - Greenhouse gas emissions from primary plastics | Greenhouse gas emissions are combined using a measurement called the 100-year Global Warming Potential (GWP), which comes from a 1995 report by the international climate science group, IPCC. Emissions are estimated at different stages, for different types of plastics, and when they are thrown away, based on data from 2015. These estimates are calculated using specific measures that consider the emissions created during the making of primary and secondary plastics, including those from related industries. These measures are taken from a model by the Organisation for Economic Co-operation and Development (OECD), ensuring a detailed and thorough analysis of emissions related to plastic production. | Greenhouse gases emissions are aggregated using 100-year global warming potential (GWP) from AR2 (IPCC, 1995) Emission coefficiens by stage and polymer or end-of-life fate are extrapolated from 2015 data using indexes. These indexes are built on scope-2 emissions intensity of primary and secondary plastics production (incl. upstream sectors) from the OECD ENV-Linkages model. | OECD | OECD (2022), Global Plastics Outlook , https://stats.oecd.org/viewhtml.aspx?datasetcode=PLASTIC_GHG_2&lang=en#, accessed on 21 September 2023 | https://stats.oecd.org/viewhtml.aspx?datasetcode=PLASTIC_GHG_2&lang=en# | 2023-09-21 | 2022-02-09 | {
"url": "https://www.oecd.org/termsandconditions",
"name": "CC BY 4.0"
} |
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| 91 | Augmented Human Development Index (AHDI) - Country data | The economic historian Leandro Prados de la Escosura has calculated the AHDI over the last 150 years. He refers to it as the Augmented Human Development Index. ## Dimensions of Augmented Human Development In order to provide a synthetic measure of augmented human development, its different dimensions are expressed in index form, - life expectancy at birth as a proxy for a healthy life, - years of schooling as a proxy for access to knowledge, - liberal democracy as a proxy for freedom, - and discounted GDP per head as a surrogate for wellbeing dimensions other than education and health. Life expectancy is defined as the average number of years of life which would remain for males and females reaching the ages specified if they continued to be subjected to the same mortality experienced in the year(s) to which these life expectancies refer. Education attainment is measured by the average years of total schooling (primary, secondary, and tertiary) for the population aged 15 and over. The Liberal Democracy Index combines the electoral democracy index and the liberal component index. The former incorporates indices of freedom of association, expression, suffrage, and clean elections. The latter includes indices of equality before the law and individual liberty, judicial constraints on the executive, and legislative constraints on the executive. GDP per head is expressed in 1990 dollars adjusted for its purchasing power adjusted, that it, for the difference in price level across countries (the so-called Geary-Khamis [G-K] 1990 $). ## Time and Spatial Coverage Over the entire time span, 1870-2020, 115 countries are considered, and its number rises up to 121, 146, 161, and 162 countries for the samples starting in 1913, 1950, 1980, and 1990, respectively. These samples represent above 90 per cent of the world population (and practically 100 per cent after 1950). ## Alert: measuring changes in the index By how much did human development improve over the long run? Given the way in which the index has bee… | Leandro Prados de la Escosura | Prados de la Escosura, L. (2021), Augmented Human Development in the Age of Globalisation, Economic History Review. | https://frdelpino.es/investigacion/en/category/01_social-sciences/02_world-economy/03_human-development-world-economy/ | https://frdelpino.es/investigacion/wp-content/uploads/2023/02/AHDI_countries_1870-2020.xlsx | 2023-09-08 | 1970-01-01 | ||||||
| 92 | Augmented Human Development Index (AHDI) - Regional data | The economic historian Leandro Prados de la Escosura has calculated the AHDI over the last 150 years. He refers to it as the Augmented Human Development Index. ## Dimensions of Augmented Human Development In order to provide a synthetic measure of augmented human development, its different dimensions are expressed in index form, - life expectancy at birth as a proxy for a healthy life, - years of schooling as a proxy for access to knowledge, - liberal democracy as a proxy for freedom, - and discounted GDP per head as a surrogate for wellbeing dimensions other than education and health. Life expectancy is defined as the average number of years of life which would remain for males and females reaching the ages specified if they continued to be subjected to the same mortality experienced in the year(s) to which these life expectancies refer. Education attainment is measured by the average years of total schooling (primary, secondary, and tertiary) for the population aged 15 and over. The Liberal Democracy Index combines the electoral democracy index and the liberal component index. The former incorporates indices of freedom of association, expression, suffrage, and clean elections. The latter includes indices of equality before the law and individual liberty, judicial constraints on the executive, and legislative constraints on the executive. GDP per head is expressed in 1990 dollars adjusted for its purchasing power adjusted, that it, for the difference in price level across countries (the so-called Geary-Khamis [G-K] 1990 $). ## Time and Spatial Coverage Over the entire time span, 1870-2020, 115 countries are considered, and its number rises up to 121, 146, 161, and 162 countries for the samples starting in 1913, 1950, 1980, and 1990, respectively. These samples represent above 90 per cent of the world population (and practically 100 per cent after 1950). ## Alert: measuring changes in the index By how much did human development improve over the long run? Given the way in which the index has bee… | Leandro Prados de la Escosura | Prados de la Escosura, L. (2021), Augmented Human Development in the Age of Globalisation, Economic History Review. | https://frdelpino.es/investigacion/en/category/01_social-sciences/02_world-economy/03_human-development-world-economy/ | https://frdelpino.es/investigacion/wp-content/uploads/2023/03/AHDI_regions_1870-2020_rev.xlsx | 2023-09-08 | 1970-01-01 | ||||||
| 93 | Reported Smallpox Cases (WHO, 2023) | Because smallpox was eradicated in 1977, there were no new cases since 2010 so we extended the time series. More details by the WHO: https://www.who.int/health-topics/smallpox#tab=tab_1. | WHO | World Health Organisation | Google Sheet | http://www.earth-policy.org/data_highlights/2011/highlights19 | https://docs.google.com/spreadsheets/d/e/2PACX-1vTdzSim9woEMb9zZNDCihyD5nr6YWpfDxLftbn-qS1SEoJjRNwv8vyJ5EaSnwJEiD5KAfFro3c79Dp-/pub?output=csv | 2023-09-28 | 2011 | |||||
| 94 | Augmented Human Development Index (AHDI) - Country data | The economic historian Leandro Prados de la Escosura has calculated the AHDI over the last 150 years. He refers to it as the Augmented Human Development Index. ## Dimensions of Augmented Human Development In order to provide a synthetic measure of augmented human development, its different dimensions are expressed in index form, - life expectancy at birth as a proxy for a healthy life, - years of schooling as a proxy for access to knowledge, - liberal democracy as a proxy for freedom, - and discounted GDP per head as a surrogate for wellbeing dimensions other than education and health. Life expectancy is defined as the average number of years of life which would remain for males and females reaching the ages specified if they continued to be subjected to the same mortality experienced in the year(s) to which these life expectancies refer. Education attainment is measured by the average years of total schooling (primary, secondary, and tertiary) for the population aged 15 and over. The Liberal Democracy Index combines the electoral democracy index and the liberal component index. The former incorporates indices of freedom of association, expression, suffrage, and clean elections. The latter includes indices of equality before the law and individual liberty, judicial constraints on the executive, and legislative constraints on the executive. GDP per head is expressed in 1990 dollars adjusted for its purchasing power adjusted, that it, for the difference in price level across countries (the so-called Geary-Khamis [G-K] 1990 $). ## Time and Spatial Coverage Over the entire time span, 1870-2020, 115 countries are considered, and its number rises up to 121, 146, 161, and 162 countries for the samples starting in 1913, 1950, 1980, and 1990, respectively. These samples represent above 90 per cent of the world population (and practically 100 per cent after 1950). ## Alert: measuring changes in the index By how much did human development improve over the long run? Given the way in which the index has bee… | Leandro Prados de la Escosura | Prados de la Escosura, L. (2021), Augmented Human Development in the Age of Globalisation, Economic History Review. | https://frdelpino.es/investigacion/en/category/01_social-sciences/02_world-economy/03_human-development-world-economy/ | https://frdelpino.es/investigacion/wp-content/uploads/2023/02/AHDI_countries_1870-2020.xlsx | 2023-09-08 | 2021 | ||||||
| 95 | Augmented Human Development Index (AHDI) - Regional data | The economic historian Leandro Prados de la Escosura has calculated the AHDI over the last 150 years. He refers to it as the Augmented Human Development Index. ## Dimensions of Augmented Human Development In order to provide a synthetic measure of augmented human development, its different dimensions are expressed in index form, - life expectancy at birth as a proxy for a healthy life, - years of schooling as a proxy for access to knowledge, - liberal democracy as a proxy for freedom, - and discounted GDP per head as a surrogate for wellbeing dimensions other than education and health. Life expectancy is defined as the average number of years of life which would remain for males and females reaching the ages specified if they continued to be subjected to the same mortality experienced in the year(s) to which these life expectancies refer. Education attainment is measured by the average years of total schooling (primary, secondary, and tertiary) for the population aged 15 and over. The Liberal Democracy Index combines the electoral democracy index and the liberal component index. The former incorporates indices of freedom of association, expression, suffrage, and clean elections. The latter includes indices of equality before the law and individual liberty, judicial constraints on the executive, and legislative constraints on the executive. GDP per head is expressed in 1990 dollars adjusted for its purchasing power adjusted, that it, for the difference in price level across countries (the so-called Geary-Khamis [G-K] 1990 $). ## Time and Spatial Coverage Over the entire time span, 1870-2020, 115 countries are considered, and its number rises up to 121, 146, 161, and 162 countries for the samples starting in 1913, 1950, 1980, and 1990, respectively. These samples represent above 90 per cent of the world population (and practically 100 per cent after 1950). ## Alert: measuring changes in the index By how much did human development improve over the long run? Given the way in which the index has bee… | Leandro Prados de la Escosura | Prados de la Escosura, L. (2021), Augmented Human Development in the Age of Globalisation, Economic History Review. | https://frdelpino.es/investigacion/en/category/01_social-sciences/02_world-economy/03_human-development-world-economy/ | https://frdelpino.es/investigacion/wp-content/uploads/2023/03/AHDI_regions_1870-2020_rev.xlsx | 2023-09-08 | 2021 | ||||||
| 96 | Georeferenced Event Dataset | This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days. You can find more notes at https://web.archive.org/web/20230618115833/https://ucdp.uu.se/downloads/ged/ged231.pdf | Uppsala Conflict Data Program | Sundberg, Ralph, and Erik Melander, 2013, “Introducing the UCDP Georeferenced Event Dataset”, Journal of Peace Research, vol.50, no.4, 523-532 | UCDP | v23.1 | https://ucdp.uu.se/downloads/index.html | https://ucdp.uu.se/downloads/ged/ged231-csv.zip | 2023-09-21 | 2023 | {
"url": "https://creativecommons.org/licenses/by/4.0/",
"name": "CC BY 4.0"
} |
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| 97 | HYDE | HYDE is an internally consistent combination of updated historical population (gridded) estimates and land use for the past 12,000 years. Categories include cropland, with a new distinction into irrigated and rain fed crops (other than rice) and irrigated and rain fed rice. Also grazing lands are provided, divided into more intensively used pasture, converted rangeland and non-converted natural (less intensively used) rangeland. Population is represented by maps of total, urban, rural population and population density as well as built-up area. | PBL Netherlands Environmental Assessment Agency | Klein Goldewijk, K., A. Beusen, J.Doelman and E. Stehfest (2017), Anthropogenic land use estimates for the Holocene; HYDE 3.2, Earth System Science Data, 9, 927-953. | HYDE (2017) | HYDE | 3.2 | https://www.pbl.nl/en/image/links/hyde | https://public.yoda.uu.nl/geo/UU01/MO2FF3.html | 2021-10-01 | 2017 | {
"url": "https://public.yoda.uu.nl/geo/UU01/MO2FF3.html",
"name": "CC BY 3.0"
} |
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| 98 | Number of individual farmed fish (2015) | Number of individual farmed fish | Estimated number of individual fish in annual aquaculture production in 2015. | Fishcount | Fishcount.org.uk based on data from the Food and Agriculture Organization of the United Nations. | http://fishcount.org.uk/ | http://fishcount.org.uk/studydatascreens2/2015/Farmed-fishes-2015.xlsx | 2023-08-14 | 2016 | |||||
| 99 | Number of individual farmed fish (2016) | Number of individual farmed fish | Estimated number of individual fish in annual aquaculture production in 2016. | Fishcount | Fishcount.org.uk based on data from the Food and Agriculture Organization of the United Nations. | http://fishcount.org.uk/ | http://fishcount.org.uk/studydatascreens2/2017/Farmed-fishes-2016-v2.xlsx | 2023-08-14 | 2017 | |||||
| 100 | Number of individual farmed fish (2017) | Number of individual farmed fish | Estimated number of individual fish in annual aquaculture production. | Fishcount | Fishcount.org.uk based on data from the Food and Agriculture Organization of the United Nations. | http://fishcount.org.uk/ | http://fishcount.org.uk/studydatascreens2/2017/Farmed-fishes-2017-v2.xlsx | 2023-08-14 | 2018 |
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