Diabetic Peripheral Neuropathy Characterization in a High-Fat Diet Mouse Model

A minimal data set supporting a PlosOne article on diabetic peripheral neuropathy. The data was authored by Guillaume Rastoldo and is available as a 97.4 KB XLSX file under a CC-BY-4.0 license. It was last updated on May 28, 2026.

Use Cases

• Training models to predict neuropathy outcomes based on physiological measurements from the mouse model.
• Analyzing correlations between high-fat diet interventions and neuropathy metrics described in the study.
• Benchmarking new analysis methods against a published, peer-reviewed dataset from PlosOne.

Strengths

• Data is directly associated with a peer-reviewed publication in PlosOne, suggesting scientific validation.
• Available under a permissive CC-BY-4.0 license, facilitating reuse and sharing.
• File size is 97.4 KB, making it quick to download and inspect.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analysis.
• 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

figshare, associated with a PlosOne article.

Collection Method

Likely contains experimental measurements from a controlled laboratory study of a high-fat diet mouse model.

Freshness

Last updated 2026-05-28 17:13:24; freshness should be verified.