Open Resources
Materials science datasets
Find public crystal structure datasets, experimental measurements, DFT databases, synthesis datasets, and machine-learning-ready resources for model training, validation, and materials discovery.
Why curated materials datasets matter
Materials science datasets are the raw material for AI discovery, high-throughput screening, model validation, and reproducible research. This hub emphasizes reusable datasets with clear external links, citations, contributor acknowledgement, and enough context for researchers to decide whether a resource fits a project.
Useful starting points
- Find structure, property, synthesis, spectroscopy, superconductivity, battery, and DFT datasets.
- Compare data sources before training models or building benchmark splits.
- Trace datasets back to original repositories, publications, and contributor records.
Related MaterialsAtlas pages
Approved resources
0 approved dataset entries are available for search indexing and community discovery.