Processed Data and Code for Anthropogenic Aerosol Mortality Impact Study

92.1 MB of processed data and analysis code supports a study finding aerosol reductions could avert nearly 40% of mid-century PM2.5 mortality. The dataset, authored by Joe Adabouk Amooli, enables reproduction of all main results and uncertainty analyses. It was last updated on 2026-05-17.

Use Cases

• Reproduce PM2.5 response to aerosol changes based on the processed data for Figures 1-2.
• Analyze PM2.5-attributable mortality response to aerosol reductions based on the data for Figures 3-4.
• Investigate mortality impacts of recent East Asian aerosol reductions based on the data for Figure 5.
• Quantify uncertainty contributions from model spread and risk functions based on the data for Figure 6.

Strengths

• Includes all processed data and code required to reproduce the study's main results.
• Covers multiple uncertainty dimensions: inter-model spread, intra-ensemble variability, and relative risk uncertainty.
• Released under a permissive CC-BY-4.0 license, facilitating reuse and sharing.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic or modeling bias inherent to the source study's methodology.

Provenance

Source

figshare

Collection Method

Processed data and code from a climate and health impact modeling study.

Freshness

Last updated 2026-05-17 04:36:57; freshness should be verified.