Greenhouse gas (GHG) emission reduction resilience dataset for countries along the "Belt and Road" (2000-2020)

Greenhouse gas (GHG) emission reduction resilience dataset for countries along the "Belt and Road" (2000-2020)


The GHG emission reduction resilience of the countries along the Belt and Road reflects the level of GHG emission reduction resilience of the countries along the Belt and Road, and the higher the value of the data, the stronger the GHG emission reduction resilience of the countries along the Belt and Road. The Emissions Database for Global Atmospheric Research (EDGAR) for 2000-2020 was used to prepare the GHG resilience data. The product was prepared based on a sensitivity and adaptation analysis, using year-by-year data of total GHG emissions of countries along the Belt and Road from 2000 to 2020, and a comprehensive diagnosis based on year-by-year changes. The GHG emission reduction resilience dataset for countries along the Belt and Road is an important reference for analyzing and comparing the current GHG emission reduction resilience of each country.


File naming and required software

File naming: The GHG Total Emission Reduction Resilience dataset is stored in an ARCGIS vector data shape file, which is compressed and named "GHG.zip".
How to read the data: The data is uncompressed in ARCGIS vector data shape file format, please use ARCGIS software to open it, the field GHG is the value of total GHG emission reduction resilience.


Data Citations Data citation guideline What's data citation?
Cite as:

Xu, X. (2022). Greenhouse gas (GHG) emission reduction resilience dataset for countries along the "Belt and Road" (2000-2020). A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.272283. CSTR: 18406.11.HumanNat.tpdc.272283. (Download the reference: RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.


License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


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Keywords
Geographic coverage
East: 180.00 West: 12.09
South: -11.00 North: 81.87
Details
  • Temporal resolution: Yearly
  • Spatial resolution: --
  • File size: 16 MB
  • Views: 1101
  • Downloads: 270
  • Access: Open Access
  • Temporal coverage: For the past 20 years
  • Updated time: 2022-04-14
Contacts
: XU Xinliang  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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