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Open Sustainable Technology

Global Carbon Budget

An annual living data publication of carbon cycle sources and sinks, generated from multiple data sources and by multiple organisations and research groups.
https://github.com/openclimatedata/global-carbon-budget

Category: Emissions
Sub Category: Emission Observation and Modeling

Keywords

data-package

Keywords from Contributors

climate-model hector-model magicc-model climate climate-change hector scenarios

Last synced: about 7 hours ago
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Global Carbon Budget Data Package

README.md

The Global Carbon Budget is an annual living data publication of carbon cycle
sources and sinks, generated from multiple data sources and by multiple
organisations and research groups.

This repository makes the data from the original Excel files available as CSVs.
Metadata and citation info is contained as comments at the beginning of the file with a # prefix.

In Python, they can be read with pd.read_csv(filename, comment="#", index_col=0).

The data is generated using the openclimatedata library.
See also the Openclimatedata website

Maintainer of this repository is Robert Gieseke (mail@openclimatedata.net).
See below for license information.

Data

  • Global Carbon Budget

  • Historical CO₂ budget

  • Fossil emissions by category/fuel type

  • Land-use change emissions

  • Ocean CO₂ sink

  • Terrestrial CO₂ sink

  • Cement Carbonation sink (since 2020 version)

Preparation

To update or regenerate the CSV files the following steps need to be run:

uv run scripts/generate.py

License

The Global Carbon Budget Excel files contains:

The use of data is conditional on citing the original data sources. Full details on how to cite the data are given at the top of each page. For research projects, if the data are essential to the work, or if an important result or conclusion depends on the data, co-authorship may need to be considered. The Global Carbon Project facilitates access to data to encourage its use and promote a good understanding of the carbon cycle. Respecting original data sources is key to help secure the support of data providers to enhance, maintain and update valuable data.

The files at the ICOS data repository are released under a CC-BY license.

The source code in scripts is released under a
CC0 Public Dedication License.

Owner metadata

GitHub Events

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Committers metadata

Last synced: 3 days ago

Total Commits: 103
Total Committers: 2
Avg Commits per committer: 51.5
Development Distribution Score (DDS): 0.01

Commits in past year: 10
Committers in past year: 1
Avg Commits per committer in past year: 10.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
Robert Gieseke r****e@p****e 102
Sven Willner s****r@g****m 1

Committer domains:

Issue and Pull Request metadata

Last synced: 3 days ago

Total issues: 5
Total pull requests: 2
Average time to close issues: about 20 hours
Average time to close pull requests: 32 minutes
Total issue authors: 2
Total pull request authors: 2
Average comments per issue: 0.4
Average comments per pull request: 0.5
Merged pull request: 2
Bot issues: 0
Bot pull requests: 0

Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/openclimatedata/global-carbon-budget

Top Issue Authors

  • rgieseke (4)
  • danielhuppmann (1)

Top Pull Request Authors

  • swillner (1)
  • rgieseke (1)

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Dependencies

scripts/requirements.txt pypi
  • countrygroups >=0.4.0
  • countrynames <=1.6.1
  • goodtables >=1.5
  • pandas *
  • pandas_datapackage_reader *
  • pyicu *
  • xlrd <2.0

Score: 4.7535901911063645