MagBridge-Battery: Battery Materials Dataset

MagBridge-Battery v1.0 is a dataset mirrored on Hugging Face for machine learning use. The primary archival record and dataset DOI are hosted on Zenodo. The associated research paper is available on arXiv, with a DOI of 10.48550/arXiv.2605.20240.

Use Cases

• Predicting battery material properties based on compositional features.
• Training machine learning models for materials screening and discovery.
• Benchmarking new algorithms for materials informatics tasks.

Strengths

• Has a primary archival DOI on Zenodo (https://zenodo.org/records/20260147).
• Is associated with a research paper with a specific arXiv DOI (10.48550/arXiv.2605.20240).

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 is unknown, which may limit suitability assessment.

Provenance

Source

Zenodo (https://zenodo.org/records/20260147)

Freshness

Last updated 2026-05-22 12:35:36; freshness should be verified.