Other language confidence: 0.9419337890881347
This is an updated version of Gütschow et al. (2019, http://doi.org/10.5880/pik.2019.001). Please use this version which incorporates updates to input data as well as correction of errors in the original dataset and its previous updates. For a detailed description of the changes please consult the CHANGELOG included in the data description document. The PRIMAP-hist dataset combines several published datasets to create a comprehensive set of greenhouse gas emission pathways for every country and Kyoto gas covering the years 1850 to 2017, and all UNFCCC (United Nations Framework Convention on Climate Change) member states, as well as most non-UNFCCC territories. The data resolves the main IPCC (Intergovernmental Panel on Climate Change) 2006 categories. For CO2, CH4, and N2O subsector data for Energy, Industrial Processes and Agriculture is available. Version 2.1 of the PRIMAP-hist dataset does not include emissions from Land use, land use change and forestry (LULUCF). List of datasets included in this data publication: (1) PRIMAP-hist_v2.1_09-Nov-2019.csv: With numerical extrapolation of all time series to 2017. (only in .zip folder) (2) PRIMAP-hist_no_extrapolation_v2.1_09-Nov-2019.csv: Without numerical extrapolation of missing values. (only in .zip folder) (3) PRIMAP-hist_v2.1_data-format-description: including CHANGELOG (4) PRIMAP-hist_v2.1_updated_figures: updated figures of those published in Gütschow et al. (2016) (all files are also included in the .zip folder) When using this dataset or one of its updates, please also cite the data description article (Gütschow et al., 2016, http://doi.org/10.5194/essd-8-571-2016) to which this data are supplement to. Please consider also citing the relevant original sources. SOURCES: - Global CO2 emissions from cement production v4: Andrew (2019) - BP Statistical Review of World Energy: BP (2019) - CDIAC: Boden et al. (2017) - EDGAR version 4.3.2: JRC and PBL (2017), Janssens-Maenhout et al. (2017) - EDGAR versions 4.2 and 4.2 FT2010: JRC and PBL (2011), Olivier and Janssens-Maenhout (2012) - EDGAR-HYDE 1.4: Van Aardenne et al. (2001), Olivier and Berdowski (2001) - FAOSTAT database: Food and Agriculture Organization of the United Nations (2019) - RCP historical data: Meinshausen et al. (2011) - UNFCCC National Communications and National Inventory Reports for developing countries: UNFCCC (2019) - UNFCCC Biennal Update Reports: UNFCCC (2019) - UNFCCC Common Reporting Format (CRF): UNFCCC (2018), UNFCCC (2019), Jeffery et al. (2018) Full references are available in the data description document.
This is an updated version of Gütschow et al. (2018, http://doi.org/10.5880/pik.2018.003). Please use this version which incorporates updates to input data as well as correction of errors in the original dataset and its previous updates. For a detailed description of the changes please consult the CHANGELOG included in the data description document. The PRIMAP-hist dataset combines several published datasets to create a comprehensive set of greenhouse gas emission pathways for every country and Kyoto gas covering the years 1850 to 2016, and all UNFCCC (United Nations Framework Convention on Climate Change) member states, as well as most non-UNFCCC territories. The data resolves the main IPCC (Intergovernmental Panel on Climate Change) 2006 categories. For CO2, CH4, and N2O subsector data for Energy, Industrial Processes and Agriculture is available. Version 2.0 of the PRIMAP-hist dataset does not include emissions from Land use, land use change and forestry (LULUCF). List of datasets included in this data publication: (1) PRIMAP-hist_v2.0_11-Dec-2018.csv: With numerical extrapolation of all time series to 2016. (only in .zip folder) (2) PRIMAP-hist_no_extrapolation_v2.0_11-Dec-2018.csv: Without numerical extrapolation of missing values. (only in .zip folder) (3) PRIMAP-hist_v2.0_data-format-description: including CHANGELOG (4) PRIMAP-hist_v2.0_updated_figures: updated figures of those published in Gütschow et al. (2016) (all files are also included in the .zip folder) When using this dataset or one of its updates, please also cite the data description article (Gütschow et al., 2016, http://doi.org/10.5194/essd-8-571-2016) to which this data are supplement to. Please consider also citing the relevant original sources. SOURCES: - Global CO2 emissions from cement production v2: Andrew (2018) - BP Statistical Review of World Energy: BP (2018) - CDIAC: Boden et al. (2017) - EDGAR version 4.3.2: JRC and PBL (2017), Janssens-Maenhout et al. (2017) - EDGAR versions 4.2 and 4.2 FT2010: JRC and PBL (2011), Olivier and Janssens-Maenhout (2012) - EDGAR-HYDE 1.4: Van Aardenne et al. (2001), Olivier and Berdowski (2001) - FAOSTAT database: Food and Agriculture Organization of the United Nations (2018) - RCP historical data: Meinshausen et al. (2011) - UNFCCC National Communications and National Inventory Reports for developing countries: UNFCCC (2018) - UNFCCC Biennal Update Reports: UNFCCC (2018) - UNFCCC Common Reporting Format (CRF): UNFCCC (2017), UNFCCC (2018), Jeffery et al. (2018) Full references are available in the data description document.
The PRIMAP-hist Socio-Eco dataset combines several published datasets to create a comprehensive set of population and Gross domestic product (GDP) pathways for every country covering the years 1850 to 2017, and all UNFCCC (United Nations Framework Convention on Climate Change) member states, as well as most non-UNFCCC territories. The data has no sector resolution. List of datasets included in this data publication: (1) PMHSOCIOECO21_GDP_26-Jul-2019.csv: contains the GDP data for all countries (2) PMHSOCIOECO21_Population_26-Jul-2019.csv: contains the population data for all countries (3) PRIMAP-hist_SocioEco_data_description.pdf: including CHANGELOG (all files are also included in the .zip folder) When using this dataset or one of its updates, please cite the DOI of the precise version of the dataset. Please consider also citing the relevant original sources when using the PRIMAP-hist Socio-Eco dataset. See the full citations in the References section further below. A data description article is in preparation. Until it is published we refer to the description article of the PRIMAP-hist emissions time series for the methodology used. SOURCES: - UN World Population Prospects 2019 (UN2019) - World Bank World Development Indicators 2019 (July) (WDI2019B). We use the *NY.GDP.MKTP.PP.KD* variable for GDP. - Penn World Table version 9.1 (PWT91). We use the *cgdpe* variable for GDP (Robert and Feenstra, 2019; Feenstra et al., 2015) - Maddison Project Database 2018 (MPD2018). We use the *cgdppc* variable for GDP (Bolt et al,, 2018) - Anthropogenic land use estimates for the Holocene – HYDE 3.2 (HYDE32)(Klein Goldewijk, 2017) - Continuous national gross domestic product (GDP) time series for 195 countries: past observations (1850–2005) harmonized with future projections according to the Shared Socio-economic Pathways (2006–2100) (Geiger2018, Geiger and Frieler, 2018) Full references are available in the data description document.
This is an updated version of Gütschow et al. (2017, http://doi.org/10.5880/pik.2017.001). Please use this version which incorporates updates to input data as well as correction of errors in the original dataset and its first update. For a detailed description of the changes please consult the CHANGELOG included in the data description document. This dataset combines several published datasets to create a comprehensive set of greenhouse gas emission pathways for every country and Kyoto gas covering the years 1850 to 2015 and all UNFCCC (United Nations Framework Convention on Climate Change) member states as well as most non-UNFCCC territories. The data resolves the main IPCC (Intergovernmental Panel on Climate Change) 1996 categories. For CO2‚‚ from energy and industry time series for subsectors are available. List of datasets included in this data publication: (1) PRIMAP-hist_v1.2_14-Dec-2017.csv: With numerical extrapolation of all time series to 2014. (only in .zip folder) (2) PRIMAP-hist_no_extrapolation_v1.2_14-Dec-2017.csv: Without numerical extrapolation of missing values. (only in .zip folder) (3) PRIMAP-hist_v1.2_data-format-description: including CHANGELOG (4) PRIMAP-hist_v1.2_updated_figures: updated figures of those published in Gütschow et al. (2016) (all files are also included in the .zip folder) When using this dataset or one of its updates, please also cite the data description article (Gütschow et al., 2016, http://doi.org/10.5194/essd-8-571-2016) to which this data are supplement to. Please consider also citing the relevant original sources. SOURCES: - UNFCCC National Communications and National Inventory Reports for developing countries: UNFCCC (2017B) - UNFCCC Biennal Update Reports: UNFCCC (2016) - UNFCCC Common Reporting Format (CRF): UNFCCC (2016), UNFCCC (2017) - BP Statistical Review of World Energy: BP (2017) - CDIAC: Boden et al. (2017) - EDGAR versions 4.2 and 4.2 FT2010: JRC and PBL (2011), Olivier and Janssens-Maenhout (2012) - FAOSTAT database: Food and Agriculture Organization of the United Nations (2016) - Houghton land use CO2: Houghton (2008) - RCP historical data: Meinshausen et al. (2011) - EDGAR-HYDE 1.4: Van Aardenne et al. (2001), Olivier and Berdowski (2001) - HYDE land cover data: Klein Goldewijk et al. (2010), Klein Goldewijk et al. (2011) - SAGE Global Potential Vegetation Dataset: Ramankutty and Foley (1999) - FAO Country Boundaries: Food and Agriculture Organization of the United Nations (2015)
The dataset contains a set of structural and non-structural attributes collected using the GFZ RRVS (Remote Rapid Visual Screening) methodology in Alsace, France, within the framework of the DESTRESS project. The survey has been carried out between May and June 2017 using a Remote Rapid Visual Screening system developed by GFZ and employing omnidirectional images from Google StreetView (vintage: February 2011) and footprints from OpenStreetMap. Surveyor: Konstantinos G. Megalooikonomou (GFZ German Research Centre for Geosciences) The attributes are encoded according to the GEM taxonomy v2.0 (see https://taxonomy.openquake.org). The following attributes are defined (not all are observable in the RRVS survey): code,description lon, longitude in fraction of degrees lat, latitude in fraction of degrees object_id, unique id of the building surveyed MAT_TYPE,Material Type MAT_TECH,Material Technology MAT_PROP,Material Property LLRS,Type of Lateral Load-Resisting System LLRS_DUCT,System Ductility HEIGHT,Height YR_BUILT,Date of Construction or Retrofit OCCUPY,Building Occupancy Class - General OCCUPY_DT,Building Occupancy Class - Detail POSITION,Building Position within a Block PLAN_SHAPE,Shape of the Building Plan STR_IRREG,Regular or Irregular STR_IRREG_DT,Plan Irregularity or Vertical Irregularity STR_IRREG_TYPE,Type of Irregularity NONSTRCEXW,Exterior walls ROOF_SHAPE,Roof Shape ROOFCOVMAT,Roof Covering ROOFSYSMAT,Roof System Material ROOFSYSTYP,Roof System Type ROOF_CONN,Roof Connections FLOOR_MAT,Floor Material FLOOR_TYPE,Floor System Type FLOOR_CONN,Floor Connections
This is an updated version of Gütschow et al. (2016). Please use this version which incorporates updates to input data as well as correction of errors in the original dataset. For a detailed description of the changes please consult the CHANGELOG included in the data description document. This dataset combines several published datasets to create a comprehensive set of greenhouse gas emission pathways for every country and Kyoto gas covering the years 1850 to 2014 and all UNFCCC (United Nations Framework Convention on Climate Change) member states as well as most non-UNFCCC territories. The data resolves the main IPCC (Intergovernmental Panel on Climate Change) 1996 categories. For CO₂ from energy and industry time series for subsectors are available. List of datasets included in this data publication: (1) PRIMAP-hist_v1.1_06-Mar-2017.csv: With numerical extrapolation of all time series to 2014. (only in .zip folder) (2) PRIMAP-hist_no_extrapolation_v1.1_06-Mar-2017.csv: Without numerical extrapolation of missing values. (only in .zip folder) (3) PRIMAP-hist_v1.1_data-format-description: including CHANGELOG (4) PRIMAP-hist_v1.1_updated_figures: updated figures of those published in Gütschow et al. (2016, http://doi.org/10.5194/essd-8-571-2016) (all files are also included in the .zip folder.) When using this dataset or one of its updates, please also cite the data description article (Gütschow et al., 2016) to which this data are supplement to. Please consider also citing the relevant original sources. Sources UNFCCC National Communications and National Inventory Reports for developing countries: UNFCCC (2017) UNFCCC Biennal Update Reports: UNFCCC (2016) UNFCCC Common Reporting Format (CRF): UNFCCC (2013), UNFCCC (2014) BP Statistical Review of World Energy: BP (2016) CDIAC:: Boden et al. (2016) EDGAR versions 4.2 and 4.2 FT2010: JRC and PBL (2011), Olivier and Janssens-Maenhout (2012) FAOSTAT database:: Food and Agriculture Organization of the United Nations (2016) Houghton land use CO2: Houghton (2008); RCP historical data: Meinshausen et al. (2011) EDGAR-HYDE 1.4: Van Aardenne et al. (2001), Olivier and Berdowski (2001), HYDE land cover data: Klein Goldewijk et al. (2010), Klein Goldewijk et al. (2011) SAGE Global Potential Vegetation Dataset: Ramankutty and Foley (1999) FAO Country Boundaries: Food and Agriculture Organization of the United Nations (2015)
Please use the updated version of this dataset which incorporates updates to input data as well as correction of errors in the original dataset. For a detailed description of the changes please consult the CHANGELOG included in the data description document of the new version. This dataset combines several published datasets to create a comprehensive set of greenhouse gas emission pathways for every country and Kyoto gas covering the years 1850 to 2014 and all UNFCCC (United Nations Framework Convention on Climate Change) member states as well as most non-UNFCCC territories. The data resolves the main IPCC (Intergovernmental Panel on Climate Change) 1996 categories. For CO₂ from energy and industry time series for subsectors are available. List of datasets included in this data publication: PRIMAP-hist_v1.0_14-Apr-2016.csv: With numerical extrapolation of all time series to 2014. PRIMAP-hist_no_extrapolation_v1.0_14-Apr-2016.csv: Without numerical extrapolation of missing values. When using this dataset or one of its updates, please cite the precise version of the dataset used. Please consider also citing the relevant original sources. Sources: UNFCCC National Communications and National Inventory Reports for developing countries: UNFCCC (2015) UNFCCC Biennal Update Reports: UNFCCC (2016) UNFCCC Common Reporting Format (CRF): UNFCCC (2013), UNFCCC (2014) BP Statistical Review of World Energy: BP (2014) CDIAC: Boden et al. (2015) EDGAR versions 4.2 and 4.2 FT2010: JRC and PBL (2011), Olivier and Janssens-Maenhout (2012) FAOSTAT database: Food and Agriculture Organization of the United Nations (2015b) Houghton land use CO2: Houghton (2008); RCP historical data: Meinshausen et al. (2011) EDGAR-HYDE 1.4: Van Aardenne et al. (2001), Olivier and Berdowski (2001), HYDE land cover data: Klein Goldewijk et al. (2010), Klein Goldewijk et al. (2011) SAGE Global Potential Vegetation Dataset: Ramankutty and Foley (1999) FAO Country Boundaries: Food and Agriculture Organization of the United Nations (2015a)
| Organisation | Count |
|---|---|
| Wissenschaft | 7 |
| Type | Count |
|---|---|
| unbekannt | 7 |
| License | Count |
|---|---|
| Offen | 7 |
| Language | Count |
|---|---|
| Englisch | 7 |
| Resource type | Count |
|---|---|
| Keine | 7 |
| Topic | Count |
|---|---|
| Boden | 7 |
| Lebewesen und Lebensräume | 5 |
| Luft | 6 |
| Mensch und Umwelt | 7 |
| Wasser | 5 |
| Weitere | 7 |