Code for Deep Learning in Mass Extinction Detection on Fossil Phylogenies

Code and data supporting a study on applying deep learning to detect mass extinction events from fossilized phylogenies. The resource, authored by Minghao Du, was published on figshare under a CC-BY-4.0 license and last updated on June 2, 2026. It likely contains scripts and configuration files for simulation-based birth-death inference experiments.

Use Cases

• Reproducing simulation experiments for mass extinction detection (inferred from domain, verify after download)
• Benchmarking deep learning models against traditional birth-death inference methods (inferred from domain, verify after download)
• Developing new phylogenetic simulation frameworks (inferred from domain, verify after download)

Strengths

• Published on figshare with a permissive CC-BY-4.0 license.
• Last updated on 2026-06-02, indicating recent maintenance.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation and sample data are unavailable, making pre-download assessment difficult.
• The specific file formats and data scale are unknown.

Provenance

Source

figshare

Freshness

Last updated 2026-06-02 06:07:02