sources
Data license: CC-BY
2 rows where datasetId = 5994 sorted by id descending
This data as json, CSV (advanced)
Suggested facets: createdAt (date), updatedAt (date)
id ▲ | name | description | createdAt | updatedAt | datasetId | additionalInfo | link | dataPublishedBy |
---|---|---|---|---|---|---|---|---|
28574 | Our World in Data based on Jones et al. (2023) | { "link": "https://zenodo.org/record/7636699#.ZFCy4exBweZ", "retrievedDate": "2023-05-02", "additionalInfo": "\nJones et al. (2023) quantify national and regional contributions to the increase of global mean surface temperature over the last few centuries.\n\nOriginal dataset description by Jones et al. (2023):\nA dataset describing the global warming response to national emissions CO2, CH4 and N2O from fossil and land use sources during 1851-2021.\n\nNational CO2 emissions data are collated from the Global Carbon Project (Andrew and Peters, 2022; Friedlingstein et al., 2022). \n\nNational CH4 and N2O emissions data are collated from PRIMAP-hist (HISTTP) (G\u00fctschow et al., 2022).\n\nWe 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).\n\nWarming 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).\n", "dataPublishedBy": "Our World in Data based on Jones, Matthew W., Peters, Glen P., Gasser, Thomas, Andrew, Robbie M., Schwingshackl, Clemens, G\u00fctschow, Johannes, Houghton, Richard A., Friedlingstein, Pierre, Pongratz, Julia, & Le Qu\u00e9r\u00e9, 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.\n" } |
2023-08-25 12:55:54 | 2023-11-22 20:09:13 | National contributions to climate change (Jones et al. (2023), 2023) 5994 | Jones et al. (2023) quantify national and regional contributions to the increase of global mean surface temperature over the last few centuries. Original dataset description by Jones et al. (2023): 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). | https://zenodo.org/record/7636699#.ZFCy4exBweZ | Our World in Data based on 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. |
27582 | Our World in Data based on Jones et al. (2023) | { "link": "https://zenodo.org/record/7636699#.ZFCy4exBweZ", "retrievedDate": "2023-05-02", "additionalInfo": "Jones et al. (2023) quantify national and regional contributions to the increase of global mean surface temperature over the last few centuries.\n\nOriginal dataset description by Jones et al. (2023):\nA dataset describing the global warming response to national emissions CO2, CH4 and N2O from fossil and land use sources during 1851-2021.\n\nNational CO2 emissions data are collated from the Global Carbon Project (Andrew and Peters, 2022; Friedlingstein et al., 2022). \n\nNational CH4 and N2O emissions data are collated from PRIMAP-hist (HISTTP) (G\u00fctschow et al., 2022).\n\nWe 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).\n\nWarming 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).\n", "dataPublishedBy": "Our World in Data based on Jones, Matthew W., Peters, Glen P., Gasser, Thomas, Andrew, Robbie M., Schwingshackl, Clemens, G\u00fctschow, Johannes, Houghton, Richard A., Friedlingstein, Pierre, Pongratz, Julia, & Le Qu\u00e9r\u00e9, 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.\n" } |
2023-05-04 12:59:52 | 2023-11-22 20:09:02 | National contributions to climate change (Jones et al. (2023), 2023) 5994 | Jones et al. (2023) quantify national and regional contributions to the increase of global mean surface temperature over the last few centuries. Original dataset description by Jones et al. (2023): 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). | https://zenodo.org/record/7636699#.ZFCy4exBweZ | Our World in Data based on 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. |
Advanced export
JSON shape: default, array, newline-delimited, object
CREATE TABLE "sources" ( "id" INTEGER PRIMARY KEY AUTOINCREMENT, "name" VARCHAR(512) NULL , "description" TEXT NOT NULL , "createdAt" DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP , "updatedAt" DATETIME NULL , "datasetId" INTEGER NULL, additionalInfo TEXT GENERATED ALWAYS as (JSON_EXTRACT(description, '$.additionalInfo')) VIRTUAL, link TEXT GENERATED ALWAYS as (JSON_EXTRACT(description, '$.link')) VIRTUAL, dataPublishedBy TEXT GENERATED ALWAYS as (JSON_EXTRACT(description, '$.dataPublishedBy')) VIRTUAL, FOREIGN KEY("datasetId") REFERENCES "datasets" ("id") ON UPDATE RESTRICT ON DELETE RESTRICT ); CREATE INDEX "sources_datasetId" ON "sources" ("datasetId");