Supplementary Data for Machine Learning in Chemical Hazard Assessment

Supplementary Material 1 for a perspective on applying data-driven machine learning for chemical hazard identification. The 72.4 KB XLSX file is published on figshare under a CC-BY-4.0 license by author Geven Piir. It was last updated on 2026-05-05.

Use Cases

• Benchmarking machine learning models for chemical hazard classification (inferred from domain, verify after download)
• Analyzing the applicability domain of computational toxicology tools (inferred from domain, verify after download)
• Supporting literature reviews on data-driven risk assessment methodologies (inferred from domain, verify after download)

Strengths

• Published on the figshare platform with a clear CC-BY-4.0 license.
• File size is precisely 72.4 KB, indicating a focused supplementary dataset.
• Last update timestamp is provided (2026-05-05 04:04:38).

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count and column definitions are unknown, limiting suitability assessment.
• The description 'Supplementary Material 1' provides no detail on the data's internal structure.

Provenance

Source

figshare

Freshness

Last updated 2026-05-05 04:04:38.