CO2 Emissions Determinants Under Technology Uncertainty with Probabilistic Analysis

865.8 MB of process data and code from a paper assessing determinants of CO2 emissions trajectories. The dataset, authored by Yupeng Wang and last updated in April 2026, is shared under a CC-BY-4.0 license on figshare. It likely contains results from a probabilistic index decomposition analysis.

Use Cases

• Modeling CO2 emissions drivers based on the described probabilistic decomposition approach.
• Assessing the impact of technology uncertainty on emissions trajectories as referenced in the title.
• Reproducing or extending the index decomposition analysis methodology from the associated paper.

Strengths

• Dataset size is 865.8 MB, indicating substantial content.
• Released under a permissive CC-BY-4.0 license for reuse.
• Last updated date of 2026-04-13 suggests recent maintenance.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Yupeng Wang via figshare.

Collection Method

Code and process data from an academic paper, likely generated through simulation or analysis.

Time Range

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Freshness

Last updated 2026-04-13 15:15:49.

Geography

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