TU Wien's research data repository lets affiliated researchers manage and publish data and code with DOIs and usage licenses.
Materials Data Facility
The Materials Data Facility helps researchers publish, discover, and access materials science datasets, including simulation and machine-learning collections.

About Materials Data Facility
The Materials Data Facility lets researchers publish, discover, and access materials science datasets, including experimental, simulation, and AI/ML collections. The site lists 880+ datasets, 600 TB+ of hosted data, and 60+ ML-ready datasets, with browsing by those three categories.
Publishing uses a guided interface to add metadata and mint a DOI for a dataset. It requires a free Globus account and joining the MDF group, with uploads from local storage, Globus endpoints, or Google Drive. Foundry provides structured datasets that can be loaded by DOI with a few lines of Python.
Key features
- Browse experimental, simulation, and AI/ML materials datasets
- Mint DOIs and add metadata through guided publishing interface
- Upload data from local storage, Globus endpoints, or Google Drive
- Load ML-ready datasets with a few lines of Python via Foundry
- Track citations and usage for published datasets
- Organize published data in open formats
- Covers 880+ datasets and 600 TB+ of hosted data, including 60+ ML-ready collections
- Assigns DOIs and records metadata, citations, and usage for published datasets
- Offers Python-based access to structured datasets through Foundry
- Publishing requires a free Globus account and joining the MDF group
- Publishing expects data to be organized in open formats
Materials Data Facility at a glance
- Official website
- materialsdatafacility.org
- Category
- Research & Data › Open Data & Datasets
- Type
- Dataset
- Platforms
- Web
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Materials Data Facility FAQ
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