Global sectoral daily CO<sub>2</sub> emissions from 1970 to 2024

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Li, Tao;Wang, Lixing;Qiu, Zihan;Ciais, Philippe;J. Davis, Steven;Deng, Zhu;Zhao, Yufei;P. Peters, Glen;Ke, Piyu;W. Jones, Matthew;M. Andrew, Robbie;Hao, Ye;Sun, Taochun;B. Jackson, Robert;Huang, Xiaoting;Friedlingstein, Pierre;Lu, Chenxi;CUi, Duo;Liu, Zhu

Description

By collecting over two million records of near-real-time electricity generation, traffic, and industrial output since 2019, and employing machine learning to simulate the nonlinear, time-varying relationships between emissions and predictors (i.e., temperature and time surrogates), we constructed a daily CO2 emissions dataset for 13 countries and regions globally, spanning the period from 1970 to 2024. This dataset encompasses four sectors: power, industry, residential, and transport (including ground transport and aviation).

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.4

FAIR Score

85%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

figshare

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Automotive Engineering

Field

Engineering

Domain

Physical Sciences

Confidence Score

43%

Source

Scholar Data Model

Keywords

Carbon sequestration science

Normalization Factors

FT

63.46

CTw

1.00

MTw

1.00