Baselight

Historical Global Greenhouse Gas Emissions

Country-Reported and Third-Party Sources

@kaggle.thedevastator_historical_global_greenhouse_gas_emissions_from

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About this Dataset

Historical Global Greenhouse Gas Emissions


Historical Global Greenhouse Gas Emissions from 1750-2021

Country-Reported and Third-Party Sources

By [source]


About this dataset

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How to use the dataset

How to use Historical Global Greenhouse Gas Emissions from 1750- 2021

The PRIMAP-hist v2.4 dataset provides an in-depth look into global greenhouse gas emissions over a 230 year period (1750-2021). This comprehensive dataset contains data sources from both country reported and third-party perspectives and is useful for understanding emission trends over time as well as gaining insight into future projections. By understanding how global climate has been impacted by human activities, records of past emissions can be used to understand the current condition of the environment and to inform decisions about how we should handle climate change challenges moving forward.

In order to make use of this dataset, it is important that you have a general understanding the various categories included in PRIMAP-hist v2.4 such as gases, regions, countries/geographies, etc., what information is encapsulated in each field and how you can best utilize them for your purpose. Below are some tips that will be helpful for making sense this large dataset:

  • Firstly familiarize yourself with the different fields provided within the columns:

  • Gases (GHGs): This includes six main gaseous pollutants participating in Earth's atmosphere which vary across sectors or lifestyles; these are Carbon dioxide (COâ‚‚), Methane (CHâ‚„ ), Nitrous oxide (Nâ‚‚O), Hydrofluorocarbons (HFCs), Perfluorocarbons(PFCs) and Sulphur hexafluoride(SF6) all expressed as units of Gigagrammes of Carbon dioxide equivalent (Gg COâ‚‚eq).

  • Areas / Geographies: These represent 3266 subdivisions representing nations/countries or blocs which encompass all historical emissions until 2021 e.g Arctic region, Canada , Europe . These three levels allow geographers/analysts granular level control for filtering out areas on their needs . Also expressed here are their ISO alpha codes which allows easy reference between datasets with other fields not presented here but necessary for analysis products like economic output parameters.

  • Sectors : In order to provide accurate categorization enabling analysis without lack detailed insight ,PRIMAP disaggregates sectors into 15 standard classifications namely Energy Supply CO2, Transportation & Road Transport Excl LUCF's Direct GHG emissions excluding combustion processes associated with Land Use Change & Forestry ,Industrial Processes incl Mineral Transformation & Non Energy Use , Agricultural Production Capture Adjustment &

Research Ideas

  • Estimating Historical Contributions to Global Greenhouse Gas Emissions: Using PRIMAP-hist v2.4, one could assess how different countries have been contributing to global greenhouse gas emissions historically and how those contributions may have changed over time
  • Assessing Drivers of GHG Emissions Changes: One could use this dataset to identify the drivers behind changes in country-level and regional greenhouse gas emissions through the examination of economic factors or societal trends by region or timeline.
  • Investigating Progress Toward Global GHG Reduction Goals: PRIMAP-hist v2.4 provides insights into whether countries are progressing towards their goals for reducing global greenhouse gas emissions and which regions are making more progress than others in an effort to reduce climate change impacts on a global scale

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .

Tables

Guetschow Et Al 2022 Primap Hist V2–4–11 Oct 2022

@kaggle.thedevastator_historical_global_greenhouse_gas_emissions_from.guetschow_et_al_2022_primap_hist_v2_4_11_oct_2022
  • 15.85 MB
  • 29580 rows
  • 278 columns
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CREATE TABLE guetschow_et_al_2022_primap_hist_v2_4_11_oct_2022 (
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  "area_iso3" VARCHAR,
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);

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