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foundry-ml/dataset_li_conductivity

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Unclear

The checks could not identify a recognised licence ID in the dataset's metadata.

Declared licence
other, from the tagEvidence: README.md at cf7c572
Licence files
No licence file at the top level of the repositoryEvidence: file list at cf7c572
Declared sources
None listed in the card metadata
Access gated on Hugging Face
No
Each cell links to what was checked: a file, a file list or a Hub record.

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Citation text from the card

@misc{https://doi.org/10.18126/k9tn-3965
doi = {10.18126/k9tn-3965}
url = {https://doi.org/10.18126/k9tn-3965}
author = {Hargreaves, Cameron J. and Gaultois, Michael W. and Daniels, Luke M. and Watts, Emma J. and Kurlin, Vitaliy A. and Moran, Michael and Dang, Yun and Morris, Rhun and Morscher, Alexandra and Thompson, Kate and Wright, Matthew A. and Prasad, Beluvalli-Eshwarappa and Blanc, Frédéric and Collins, Chris M. and Crawford, Catriona A. and Duff, Benjamin B. and Evans, Jae and Gamon, Jacinthe and Han, Guopeng and Leube, Bernhard T. and Niu, Hongjun and Perez, Arnaud J. and Robinson, Aris and Rogan, Oliver and Sharp, Paul M. and Shoko, Elvis and Sonni, Manel and Thomas, William J. and Vasylenko, Andrij and Wang, Lu and Rosseinsky, Matthew J. and Dyer, Matthew S.}
title = {A database of experimentally measured lithium solid electrolyte conductivities evaluated with machine learning}
keywords = {machine learning, foundry}
publisher = {Materials Data Facility}
year = {root=2023}}

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dataset_licence({ "id": "foundry-ml/dataset_li_conductivity" })
signal: "unclear"
stated_licence: "other"
sources: 0