Source Data for Figures in a Battery Particle Overpotential Study

Source data for figures in the research article 'Diffusion-Like Overpotentials from Non-Diffusion Mechanisms in Battery Particles' (DOI: 10.1038/s41560-026-02118-2). The dataset was authored by Stephen Kang and is hosted on the Harvard Dataverse, with a last recorded update in July 2026. It likely contains tabular data supporting the analysis of electrochemical overpotentials in battery materials.

Use Cases

• Validate the computational models of overpotential in battery particles based on the referenced research article.
• Reproduce the figures and analysis from the published study on non-diffusion mechanisms.
• Benchmark new electrochemical simulation results against the experimental or simulated data likely contained in the dataset.

Strengths

• Data is directly linked to a peer-reviewed research article with a DOI (10.1038/s41560-026-02118-2).
• Hosted on the Harvard Dataverse, a reputable academic data repository.
• Last updated on 2026-07-17 13:05:47, indicating recent maintenance.

Limitations

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

Provenance

Source

Harvard Dataverse

Collection Method

Likely generated from simulations or experiments for the associated research publication.

Freshness

Last updated 2026-07-17 13:05:47; freshness should be verified.