{
 "id": "mkarim14/OpenPoly",
 "owner": "mkarim14",
 "name": "OpenPoly",
 "downloads": 68,
 "likes": 0,
 "last_modified": "2026-09-26T00:02:40.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
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 "citation": "This data is derived from the **OpenPoly** experimental polymer database,\nmade available under the Creative Commons Attribution 4.0 International\n(CC BY 4.0) license. It is redistributed here unmodified (or lightly filtered\nfor the thermal-property modeling task) for reproducibility, so that the\nproject's models train on the exact dataset they were validated against.\n\nOriginal source: OpenPoly experimental polymer database\n(https://cleanenergymaterials.cn/polymer/polymer_database/experiment_polymer_database)\n\nIf you use this data in scientific work, please cite the OpenPoly authors:\n\n> Wang, J.-F.; Sun, Y.-B.; Chen, Q.-T.; Ji, F.-F.; Song, Y.-Y.; Ruan, M.-Y.;\n> Wang, Y. OpenPoly: a polymer database empowering benchmarking and\n> multi-property predictions. *Chinese Journal of Polymer Science* 2025, 43,\n> 1749–1760.\n\n> Wang, J.; Ju, J.; Wang, Y. CEMP: a platform unifying high-throughput online\n> calculation, databases and predictive models for clean energy materials.\n> *arXiv preprint* arXiv:2507.04423, 2025.",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "d0440babd9770566f125501585c54bf7b686c1af",
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}