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Login: chart-diff: ✅No charts for review.data-diff: ❌ Found differences= Dataset garden/artificial_intelligence/2024-06-28/ai_investment
~ Table ai_investment (changed metadata)
+ + title: AI Index Report
+ + description: |-
+ + The AI Index Report tracks, collates, distills, and visualizes data related to artificial intelligence (AI). The mission is to provide unbiased, rigorously vetted, broadly sourced data to enable policymakers, researchers, executives, journalists, and the general public to develop a more thorough and nuanced understanding of the complex field of AI.
= Dataset garden/artificial_intelligence/2024-07-11/epoch_gpus
~ Table epoch_gpus (changed metadata)
+ + title: Trends in Machine Learning Hardware
+ + description: |-
+ + This dataset contains performance data for 53 GPUs and AI chips used in machine learning experiments from 2008 to 2023. It includes details on computational performance, memory capacities and bandwidths, and interconnect bandwidths.
= Dataset garden/artificial_intelligence/2024-07-16/cset
~ Table cset (changed metadata)
- - title: Population
+ + description: |-
+ + The research data in CAT (Country Attributes and Topics) is derived from ETO's Merged Academic Corpus (MAC), which contains detailed information on over 270 million scholarly articles worldwide. CAT uses only AI-related articles from the MAC. Articles are attributed to countries based on the author organizations listed in each article's metadata. An article is attributed to a country if it lists at least one author affiliated with an organization in that country.
+ +
+ + The top ten authors for each country are identified based on the number of citations to articles they released while affiliated with institutions in that country. CAT classifies articles into AI subfields using subject assignment scores in the MAC. Articles are assigned to up to three subfields based on their scores.
+ +
+ + CAT includes patent data from 1790 Analytics and Dimensions, and it counts AI-related patent families, including patent applications and granted patents. Patents are attributed to the country where they are filed, not necessarily the inventor's nationality. CAT also uses Crunchbase data to identify AI-related companies based on various criteria and includes investment metrics for these companies.
+ +
+ + The data in CAT is updated at least once a quarter, with plans for more frequent updates in the future.
= Dataset garden/bls/2024-05-16/us_consumer_prices
~ Table us_consumer_prices (changed metadata)
- - title: US consumer prices
- - description: |-
- - The Bureau of Labor Statistics reports the monthly Consumer Price Index (CPI) of individual goods and services for urban consumers at the national, city, and state levels. CPI is presented on an annual basis, which we have derived as the average of the monthly CPIs in a given year.
= Dataset garden/climate/2023-12-20/surface_temperature
= Table surface_temperature
~ Dim country
- - Removed values: 195 / 198510 (0.10%)
time country
2024-11-15 Azerbaijan
2024-11-15 Cayman Islands
2024-11-15 Iceland
2024-11-15 Mauritania
2024-11-15 Syria
~ Dim time
- - Removed values: 195 / 198510 (0.10%)
country time
Azerbaijan 2024-11-15
Cayman Islands 2024-11-15
Iceland 2024-11-15
Mauritania 2024-11-15
Syria 2024-11-15
~ Column anomaly_above_0 (changed metadata, changed data)
- - Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 monthly averaged data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.f17050d7 (Accessed on 19-Nov-2024)
? ^ ^^^
+ + Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 monthly averaged data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.f17050d7 (Accessed on 13-October-2024)
? ^ ^^^^^^^
- - url_main: https://cds.climate.copernicus.eu/datasets/reanalysis-era5-single-levels-monthly-means?tab=overview
? ^^^^
+ + url_main: https://cds.climate.copernicus.eu/datasets/reanalysis-era5-pressure-levels-monthly-means?tab=overview
? +++ ^^^
- - date_accessed: '2024-12-05'
? ^ ^^
+ + date_accessed: '2024-10-13'
? ^ ^^
- - date_published: '2019-12-04'
? ---
+ + date_published: '2019-04-18'
? +++
- - url: https://cds.climate.copernicus.eu/datasets/reanalysis-era5-single-levels-monthly-means?tab=overview
? ^^^^
+ + url: https://cds.climate.copernicus.eu/datasets/reanalysis-era5-pressure-levels-monthly-means?tab=overview
? +++ ^^^
- - Removed values: 195 / 198510 (0.10%)
country time anomaly_above_0
Azerbaijan 2024-11-15 0.676227
Cayman Islands 2024-11-15 0.427959
Iceland 2024-11-15 <NA>
Mauritania 2024-11-15 2.169111
Syria 2024-11-15 0.473109
~ Changed values: 333 / 198510 (0.17%)
country time anomaly_above_0 - anomaly_above_0 +
Cameroon 2024-09-15 0.714495 0.702833
Canada 2024-09-15 3.043594 3.043921
Cape Verde 2024-10-15 0.40591 0.378155
Equatorial Guinea 2024-09-15 0.762281 0.799829
Somalia 2024-10-15 1.718592 1.751368
~ Column anomaly_below_0 (changed metadata, changed data)
- - Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 monthly averaged data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.f17050d7 (Accessed on 19-Nov-2024)
? ^ ^^^
+ + Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 monthly averaged data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.f17050d7 (Accessed on 13-October-2024)
? ^ ^^^^^^^
- - url_main: https://cds.climate.copernicus.eu/datasets/reanalysis-era5-single-levels-monthly-means?tab=overview
? ^^^^
+ + url_main: https://cds.climate.copernicus.eu/datasets/reanalysis-era5-pressure-levels-monthly-means?tab=overview
? +++ ^^^
- - date_accessed: '2024-12-05'
? ^ ^^
+ + date_accessed: '2024-10-13'
? ^ ^^
- - date_published: '2019-12-04'
? ---
+ + date_published: '2019-04-18'
? +++
- - url: https://cds.climate.copernicus.eu/datasets/reanalysis-era5-single-levels-monthly-means?tab=overview
? ^^^^
+ + url: https://cds.climate.copernicus.eu/datasets/reanalysis-era5-pressure-levels-monthly-means?tab=overview
? +++ ^^^
- - Removed values: 195 / 198510 (0.10%)
country time anomaly_below_0
Azerbaijan 2024-11-15 <NA>
Cayman Islands 2024-11-15 <NA>
Iceland 2024-11-15 -0.151801
Mauritania 2024-11-15 <NA>
Syria 2024-11-15 <NA>
~ Changed values: 56 / 198510 (0.03%)
country time anomaly_below_0 - anomaly_below_0 +
Eswatini 2024-09-15 -0.166006 -0.153383
Isle of Man 2024-09-15 -0.185089 -0.196747
Kyrgyzstan 2024-09-15 -0.089222 -0.10115
Niger 2024-09-15 -0.35149 -0.403528
South Africa 2024-09-15 -0.333288 -0.332178
~ Column temperature_2m (changed metadata, changed data)
- - Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 monthly averaged data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.f17050d7 (Accessed on 19-Nov-2024)
? ^ ^^^
+ + Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 monthly averaged data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.f17050d7 (Accessed on 13-October-2024)
? ^ ^^^^^^^
- - url_main: https://cds.climate.copernicus.eu/datasets/reanalysis-era5-single-levels-monthly-means?tab=overview
? ^^^^
+ + url_main: https://cds.climate.copernicus.eu/datasets/reanalysis-era5-pressure-levels-monthly-means?tab=overview
? +++ ^^^
- - date_accessed: '2024-12-05'
? ^ ^^
+ + date_accessed: '2024-10-13'
? ^ ^^
- - date_published: '2019-12-04'
? ---
+ + date_published: '2019-04-18'
? +++
- - url: https://cds.climate.copernicus.eu/datasets/reanalysis-era5-single-levels-monthly-means?tab=overview
? ^^^^
+ + url: https://cds.climate.copernicus.eu/datasets/reanalysis-era5-pressure-levels-monthly-means?tab=overview
? +++ ^^^
- - Removed values: 195 / 198510 (0.10%)
country time temperature_2m
Azerbaijan 2024-11-15 7.404119
Cayman Islands 2024-11-15 27.087738
Iceland 2024-11-15 -1.584782
Mauritania 2024-11-15 26.371941
Syria 2024-11-15 13.935539
~ Changed values: 381 / 198510 (0.19%)
country time temperature_2m - temperature_2m +
Guatemala 2024-09-15 24.858412 24.845797
Luxembourg 2024-10-15 11.405532 11.407206
Papua New Guinea 2024-10-15 24.286854 24.31859
Slovakia 2024-10-15 9.382662 9.388906
Vanuatu 2024-10-15 24.846794 24.850454
~ Column temperature_anomaly (changed metadata, changed data)
- - Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 monthly averaged data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.f17050d7 (Accessed on 19-Nov-2024)
? ^ ^^^
+ + Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 monthly averaged data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.f17050d7 (Accessed on 13-October-2024)
? ^ ^^^^^^^
- - url_main: https://cds.climate.copernicus.eu/datasets/reanalysis-era5-single-levels-monthly-means?tab=overview
? ^^^^
+ + url_main: https://cds.climate.copernicus.eu/datasets/reanalysis-era5-pressure-levels-monthly-means?tab=overview
? +++ ^^^
- - date_accessed: '2024-12-05'
? ^ ^^
+ + date_accessed: '2024-10-13'
? ^ ^^
- - date_published: '2019-12-04'
? ---
+ + date_published: '2019-04-18'
? +++
- - url: https://cds.climate.copernicus.eu/datasets/reanalysis-era5-single-levels-monthly-means?tab=overview
? ^^^^
+ + url: https://cds.climate.copernicus.eu/datasets/reanalysis-era5-pressure-levels-monthly-means?tab=overview
? +++ ^^^
- - Removed values: 195 / 198510 (0.10%)
country time temperature_anomaly
Azerbaijan 2024-11-15 0.676227
Cayman Islands 2024-11-15 0.427959
Iceland 2024-11-15 -0.151801
Mauritania 2024-11-15 2.169111
Syria 2024-11-15 0.473109
~ Changed values: 389 / 198510 (0.20%)
country time temperature_anomaly - temperature_anomaly +
Burkina Faso 2024-09-15 -0.180243 -0.179939
Faroe Islands 2024-09-15 -0.492046 -0.508323
Iraq 2024-10-15 -1.206623 -1.205311
Norway 2024-09-15 1.398015 1.391551
Poland 2024-10-15 1.22751 1.225059
~ Dataset garden/research_development/2024-05-20/patents_articles
- - description: |-
- - 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
- - licenses:
- - - name: Creative Commons BY 4.0
- - url: https://docs.google.com/document/d/1-RmthhS2EPMK_HIpnPctcXpB0n7ADSWnXa5Hb3PxNq4/edit?usp=sharing
- - - name: CC BY 3.0
- - url: https://dataportaal.pbl.nl/downloads/HYDE/HYDE3.2/readme_release_HYDE3.2.1.txt
- - - name: CC BY 3.0 IGO
- - url: http://creativecommons.org/licenses/by/3.0/igo/
~ Table patents_articles (changed metadata)
- - title: Population
- - description: |-
- - 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
= Dataset garden/space/2024-08-16/exoplanets
~ Table exoplanets (changed metadata)
- - title: Exoplanets (NASA, 2024)
- - description: |-
- - This dataset makes use of the NASA Exoplanet Archive, which is operated by the California Institute of Technology, under contract with the National Aeronautics and Space Administration under the Exoplanet Exploration Program.
- -
- - Transit method: If a planet crosses (or transits) in front of its parent star's disk, then the star's observed brightness drops by a small amount. The amount by which the star dims depends on its size and the planet's size, among other factors.
- -
- - Radial velocity (or Doppler method): As a planet orbits a star, the star also moves in its small orbit around the system's center of mass. Variations in the star's radial velocity—the speed with which it moves towards or away from Earth—can be detected from displacements in the star's spectral lines due to the Doppler effect.
- -
- - Microlensing: Microlensing occurs when the gravitational field of a star acts like a lens, magnifying the light of a distant background star. Planets orbiting the lensing star can cause detectable anomalies in the magnification as it varies over time.
- -
- - Details on other methods of discovery are available on Wikipedia: https://en.wikipedia.org/wiki/Exoplanet#Detection_methods
= Dataset garden/tourism/2024-08-17/unwto
~ Table unwto (changed metadata)
- - title: Annual Purchasing Power Parities and exchange rates
- - description: |-
- - This table shows annual Purchasing Power Parities (PPPs) for Gross Domestic Product (GDP), household final consumption expenditure and actual individual consumption. It also shows exchange rates (annual averages and end of period), sourced from the International Monetary Fund's database on International Financial Statistics.
- -
- - Final consumption expenditure is the expenditure of resident households on consumption goods or services, while individual consumption is the sum of household consumption plus the individual (not collective) consumption of the non-profit institutions serving households (NPISH) and General Government sectors
~ Dataset garden/un/2024-03-14/un_wpp_most
- - title: World Population Prospects
+ + title: Most populous age groups (UN WPP)
= Table population_10_year_age_groups
= Table population_5_year_age_groups
~ Dataset garden/un/2024-10-01/births_by_age
- - title: World Population Prospects
+ + title: Births by age of mother (UN WPP)
= Table births_by_age
= Dataset garden/who/2024-09-09/flu_test
= Table flu_test
~ Dim country
- - Removed values: 40 / 72732 (0.05%)
date country
2024-12-16 Brunei
2024-12-09 French Guiana
2024-12-16 Nicaragua
2024-12-09 Paraguay
2024-12-02 Qatar
~ Dim date
- - Removed values: 40 / 72732 (0.05%)
country date
Brunei 2024-12-16
French Guiana 2024-12-09
Nicaragua 2024-12-16
Paraguay 2024-12-09
Qatar 2024-12-02
~ Column denomcombined (changed data)
- - Removed values: 40 / 72732 (0.05%)
country date denomcombined
Brunei 2024-12-16 27
French Guiana 2024-12-09 2
Nicaragua 2024-12-16 58
Paraguay 2024-12-09 88
Qatar 2024-12-02 727
~ Changed values: 79 / 72732 (0.11%)
country date denomcombined - denomcombined +
Jamaica 2024-11-04 63 41
Jamaica 2024-11-25 69 33
Saudi Arabia 2023-11-13 722 725
Saudi Arabia 2024-01-08 407 421
United States 2024-10-07 69461 69418
~ Column pcnt_poscombined (changed data)
- - Removed values: 40 / 72732 (0.05%)
country date pcnt_poscombined
Brunei 2024-12-16 25.925926
French Guiana 2024-12-09 50.0
Nicaragua 2024-12-16 1.724138
Paraguay 2024-12-09 2.272727
Qatar 2024-12-02 16.781294
~ Changed values: 79 / 72732 (0.11%)
country date pcnt_poscombined - pcnt_poscombined +
Jamaica 2024-11-04 4.761905 4.878049
Jamaica 2024-11-25 18.84058 27.272728
Saudi Arabia 2023-11-13 27.70083 27.862068
Saudi Arabia 2024-01-08 17.936117 17.814728
United States 2024-10-07 0.968889 0.939238
Legend: +New ~Modified -Removed =Identical Details
Hint: Run this locally with etl diff REMOTE data/ --include yourdataset --verbose --snippetAutomatically updated datasets matching weekly_wildfires|excess_mortality|covid|fluid|flunet|country_profile|garden/ihme_gbd/2019/gbd_risk are not included Edited: 2024-12-29 18:26:49 UTC |
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Will merge as I think this is low-risk. |
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Nice one @lucasrodes, makes sense! |
antea04
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* 💄 change dataset title * add dataset title * add title for old WPP release * add title for age group dataset
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In admin, we now have multiple datasets named "World Population Prospects". Maybe we could modify some so that it is easier to distinguish them?