foundry-ml/semiconductor_defectlevels_v1-1

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The declared licence (cc-by-4.0) is classified as permissive.

Declared licence: cc-by-4.0, from the tagEvidence: README.md at 070ae57
Licence files: No licence file at the top level of the repositoryEvidence: file list at 070ae57
Declared sources: None listed in the card metadata
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Citation text from the card

@misc{https://doi.org/10.18126/ite0-3iah
doi = {10.18126/ite0-3iah}
url = {https://doi.org/10.18126/ite0-3iah}
author = {Polak, Maciej P. and Jacobs, Ryan and Mannodi-Kanakkithodi, Arun and Chan, Maria K. Y. and Morgan, Dane}
title = {Machine learning for impurity charge-state transition levels in semiconductors from elemental properties using multi-fidelity datasets}
keywords = {machine learning, foundry}
publisher = {Materials Data Facility}
year = {root=2022}}

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dataset_licence({ "id": "foundry-ml/semiconductor_defectlevels_v1-1" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0