datalicense

All datasets / GleghornLab

GleghornLab/optimal_ph

32 downloads in 30 days0 likesLast modified 15 Apr 2026View on Hugging Face
Permissive or share-alike

The declared licence (mit) is classified as permissive.

Declared licence
mit, from the tagEvidence: README.md at d599a05
Licence files
No licence file at the top level of the repositoryEvidence: file list at d599a05
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.

Tasks

Citation text from the card

@article{Gado2025EpHod,
  title   = {Deep learning prediction of enzyme optimum pH},
  author  = {Gado, Japheth E. and Knotts, Matthew and Shaw, Amber M. and
             Marks, Debora and Gauthier, Nicholas P. and Hopf, Thomas A. and
             Beckham, Gregg T.},
  journal = {Nature Machine Intelligence},
  year    = {2025},
  doi     = {10.1038/s42256-025-01026-6},
  url     = {https://www.nature.com/articles/s42256-025-01026-6}
}

The same facts for your agent

A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.

dataset_licence({ "id": "GleghornLab/optimal_ph" })
signal: "permissive"
stated_licence: "mit"
sources: 0