4 datasets found
  1. m

    Middle Eastern economies' population, GDP, fuel usage, and carbon dioxide...

    • data.mendeley.com
    Updated Jun 16, 2022
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    Nima Rajabi Kouyakhi (2022). Middle Eastern economies' population, GDP, fuel usage, and carbon dioxide emissions (1990-2020) [Dataset]. http://doi.org/10.17632/4b365yk8jj.1
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    Dataset updated
    Jun 16, 2022
    Authors
    Nima Rajabi Kouyakhi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Middle East
    Description

    The dataset contains the following information from 12 Middle Eastern countries from 1990 to 2020 (namely Bahrain, Iran, Iraq, Jordan, Kuwait, Lebanon, Oman, Qatar, Saudi Arabia, Syria, the United Arab Emirates, and Yemen): • The population (according to the United Nations population statistics) • The GDPs of countries (constant 2010 US dollar) in the studied period (collected from World Bank datasets) • Energy consumption in the Middle East by fuel (collected from the International Energy Agency (IEA) Energy Outlook and British Petroleum (BP) statistical review) • The rate of carbon dioxide emissions in the Middle East by fuel (collected from the International Energy Agency (IEA) Energy Outlook and British Petroleum (BP) statistical review)

  2. Global primary energy consumption 2000-2050, by energy source

    • statista.com
    • ai-chatbox.pro
    Updated Jun 23, 2025
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    Statista (2025). Global primary energy consumption 2000-2050, by energy source [Dataset]. https://www.statista.com/statistics/222066/projected-global-energy-consumption-by-source/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Global primary energy consumption has increased dramatically in recent years and is projected to continue to increase until 2045. Only hydropower and renewable energy consumption are expected to increase between 2045 and 2050 and reach 30 percent of the global energy consumption. Energy consumption by country The distribution of energy consumption globally is disproportionately high among some countries. China, the United States, and India were by far the largest consumers of primary energy globally. On a per capita basis, it was Qatar, Singapore, the United Arab Emirates, and Iceland to have the highest per capita energy consumption. Renewable energy consumption Over the last two decades, renewable energy consumption has increased to reach over 90 exajoules in 2023. Among all countries globally, China had the largest installed renewable energy capacity as of that year, followed by the United States.

  3. The PRIMAP-hist national historical emissions time series (1850-2018) v2.2

    • zenodo.org
    • explore.openaire.eu
    csv, pdf
    Updated Jul 19, 2024
    + more versions
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    Johannes Gütschow; Johannes Gütschow; Annika Günther; Annika Günther; M. Louise Jeffery; Robert Gieseke; M. Louise Jeffery; Robert Gieseke (2024). The PRIMAP-hist national historical emissions time series (1850-2018) v2.2 [Dataset]. http://doi.org/10.5281/zenodo.4479172
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    pdf, csvAvailable download formats
    Dataset updated
    Jul 19, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Johannes Gütschow; Johannes Gütschow; Annika Günther; Annika Günther; M. Louise Jeffery; Robert Gieseke; M. Louise Jeffery; Robert Gieseke
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Recommended citation

    Gütschow, J.; Günther, A.; Jeffery, L.; Gieseke, R. (2021): The PRIMAP-hist national historical emissions time series v2.2 (1850-2018). zenodo. doi:10.5281/zenodo.4479172.
    
    Gütschow, J.; Jeffery, L.; Gieseke, R.; Gebel, R.; Stevens, D.; Krapp, M.; Rocha, M. (2016): The PRIMAP-hist national historical emissions time series, Earth Syst. Sci. Data, 8, 571-603, doi:10.5194/essd-8-571-2016

    Content

    Use of the dataset and full description

    Before using the dataset, please read this document and the article describing the methodology, especially the section on uncertainties and the section on limitations of the method and use of the dataset.

    Gütschow, J.; Jeffery, L.; Gieseke, R.; Gebel, R.; Stevens, D.; Krapp, M.; Rocha, M. (2016): The PRIMAP-hist national historical emissions time series, Earth Syst. Sci. Data, 8, 571-603, doi:10.5194/essd-8-571-2016

    Please notify us (johannes.guetschow@pik-potsdam.de) if you use the dataset so that we can keep track of how it is used and take that into consideration when updating and improving the dataset.

    When using this dataset or one of its updates, please cite the DOI of the precise version of the dataset used and also the data description article which this dataset is supplement to (see above). Please consider also citing the relevant original sources when using the PRIMAP-hist dataset. See the full citations in the References section further below.

    Support

    If you encounter possible errors or other things that should be noted, please check our issue tracker at github.com/JGuetschow/PRIMAP-hist and report your findings there.

    If you need support in using the dataset or have any other questions regarding the dataset, please contact johannes.guetschow@pik-potsdam.de.

    Abstract

    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 2018, 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 Product Use (IPPU), and Agriculture is available. Due to data availability and methodological issues, version 2.2 of the PRIMAP-hist dataset does not include emissions from Land Use, Land-Use Change, and Forestry (LULUCF).

    The PRIMAP-hist v2.2 dataset is an updated version of

    Gütschow, J.; Jeffery, L.; Gieseke, R.; Günther, A. (2019): The PRIMAP-hist national historical emissions time series v2.1 (1850-2017). GFZ Data Services. doi:10.5880/pik.2019.018.

    The Changelog indicates the most important changes. You can also check the issue tracker on github.com/JGuetschow/PRIMAP-hist for additional information on issues found after the release of the dataset.

    Sources

    • Global CO2 emissions from cement production v4 (Andrew 2019) data, paper Andrew (2019a), Andrew (2019b)
    • BP Statistical Review of World Energy website: British Petroleum (2020)
    • CDIAC data: Boden et al. (2017)
    • EDGAR versions 4.2 and 4.2 FT2010: EDGAR v4.2, EDGAR v4.2 FT2010: JRC and PBL (2011), Olivier and Janssens-Maenhout (2012)
    • EDGAR version 5.0: data, paper: JRC and PBL (2017), Crippa et al. (2019)
    • EDGAR-HYDE 1.4 data: Van Aardenne et al. (2001), Olivier and Berdowski (2001)
    • FAOSTAT database data: Food and Agriculture Organization of the United Nations (2020)
    • RCP historical data data, paper: Meinshausen et al. (2011)
    • UNFCCC National Communications and National Inventory Reports for developing countries website, data: UNFCCC (2020b), Gieseke and Gütschow (2020)
    • UNFCCC Biennial Update Reports website: UNFCCC (2020a)
    • UNFCCC Common Reporting Format (CRF) website, paper, data: Gütschow et al. (2020b) UNFCCC (2019a) (processed as described in Jeffery et al. (2018a). PRIMAP-hist contains updated CRF data for Hungary, compared to the published PRIMAP-crf dataset)

    Files included in the dataset

    • PRIMAP-hist_v2.2_19-Jan-2021.csv: With numerical extrapolation of all time series to 2018.
    • PRIMAP-hist_no_extrapolation_v2.2_19-Jan-2021.csv: Without numerical extrapolation of missing values and not including the country groups mentioned in section country.
    • PRIMAP-hist_v2.2_data-description.pdf: Data description including changelog.
    • PRIMAP-hist_v2.2_updated_figures.pdf: Updated figures from the PRIMAP-hist paper published in ESSD.

    Notes

    • Emissions from international aviation and shipping are not included in the dataset.
    • Emissions from Land Use, Land-Use Change, and Forestry (LULUCF) are not included in this dataset.

    Data format description (columns)

    “scenario”

    • HISTCR: In this scenario country-reported data (CRF, BUR, UNFCCC) is prioritized over third-party data (CDIAC, FAO, Andrew, EDGAR, BP).
    • HISTTP: In this scenario third-party data (CDIAC, FAO, Andrew, EDGAR, BP) is prioritized over country-reported data (CRF, BUR, UNFCCC)

    “country”

    ISO 3166 three-letter country codes or custom codes for groups:

    Code    Region description
    ----    -------
    EARTH   Aggregated emissions for all countries.
    ANNEXI   Annex I Parties to the Convention
    NONANNEXI Non-Annex I Parties to the Convention
    AOSIS   Alliance of Small Island States
    BASIC   BASIC countries (Brazil, South Africa, India and China)
    EU28    European Union
    LDC    Least Developed Countries
    UMBRELLA  Umbrella Group

    Table: Additional “country” codes.

    “category”

    IPCC (Intergovernmental Panel on Climate Change) 2006 categories for emissions. Some aggregate sectors have been added to the hierarchy. These begin with the prefix IPCM instead of IPC.

    -----------------------------------------------------------------------
    Category code Description

    IPCM0EL National Total excluding LULUCF IPC1 Energy IPC1A Fuel Combustion Activities IPC1B Fugitive Emissions from Fuels IPC1B1 Solid Fuels IPC1B2 Oil and Natural Gas IPC1B3 Other Emissions from Energy Production IPC1C Carbon Dioxide Transport and Storage (currently no data available) IPC2 Industrial Processes and Product Use (IPPU) IPC2A Mineral Industry IPC2B Chemical Industry IPC2C Metal Industry IPC2D Non-Energy Products from Fuels and Solvent Use IPC2E Electronics Industry (no data available as the category is only used for fluorinated gases which are only resolved at the level of category IPC2) IPC2F Product uses as Substitutes for Ozone Depleting Substances (no data available as the category is only used for fluorinated gases which are only resolved at the level of category IPC2) IPC2G Other Product Manufacture and Use IPC2H Other IPCMAG Agriculture, sum of IPC3A and IPCMAGELV IPC3A

  4. Erdöl: Reserven von Katar in Tonnen bis 2020

    • de.statista.com
    + more versions
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    Erdöl: Reserven von Katar in Tonnen bis 2020 [Dataset]. https://de.statista.com/statistik/daten/studie/30868/umfrage/reserven-an-erdoel-in-katar-seit-1990/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Katar
    Description

    Die vorliegende Statistik zeigt die Entwicklung der Erdölreserven von Katar in den Jahren von 1990 bis 2020 in Milliarden Tonnen. Zu den nachgewiesenen Erdölreserven zählen laut Quelle im Allgemeinen Mengen, die nach geologischen und ingenieurtechnischen Informationen aller Wahrscheinlichkeit nach aus den heute bekannten Vorkommen und unter den derzeitigen wirtschaftlichen und technischen Bedingungen künftig gefördert werden können. Im Jahr 2020 beliefen sich die Erdölreserven von Katar auf rund *** Milliarden Tonnen. Der BP Statistical Review of World Energy erschien erstmalig 1951. Er enthält Zahlen, Daten und Fakten über die weltweite Produktion und den Verbrauch von Öl, Gas, Kohle, Kern- und Wasserkraft und erneuerbaren Energien.

  5. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Nima Rajabi Kouyakhi (2022). Middle Eastern economies' population, GDP, fuel usage, and carbon dioxide emissions (1990-2020) [Dataset]. http://doi.org/10.17632/4b365yk8jj.1

Middle Eastern economies' population, GDP, fuel usage, and carbon dioxide emissions (1990-2020)

Explore at:
Dataset updated
Jun 16, 2022
Authors
Nima Rajabi Kouyakhi
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Middle East
Description

The dataset contains the following information from 12 Middle Eastern countries from 1990 to 2020 (namely Bahrain, Iran, Iraq, Jordan, Kuwait, Lebanon, Oman, Qatar, Saudi Arabia, Syria, the United Arab Emirates, and Yemen): • The population (according to the United Nations population statistics) • The GDPs of countries (constant 2010 US dollar) in the studied period (collected from World Bank datasets) • Energy consumption in the Middle East by fuel (collected from the International Energy Agency (IEA) Energy Outlook and British Petroleum (BP) statistical review) • The rate of carbon dioxide emissions in the Middle East by fuel (collected from the International Energy Agency (IEA) Energy Outlook and British Petroleum (BP) statistical review)

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