{
 "id": "chlange/RamanSpectraBioprocessAnalystesTimegate",
 "owner": "chlange",
 "name": "RamanSpectraBioprocessAnalystesTimegate",
 "downloads": 923,
 "likes": 0,
 "last_modified": "2026-02-09T18:57:41.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "tabular-regression"
 ],
 "citation": "@article{\n  LANGE2025125861,\n  title = {Comparing machine learning methods on Raman spectra from eight different spectrometers},\n  journal = {Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy},\n  volume = {334},\n  pages = {125861},\n  year = {2025},\n  issn = {1386-1425},\n  doi = {https://doi.org/10.1016/j.saa.2025.125861},\n  url = {https://www.sciencedirect.com/science/article/pii/S1386142525001672},\n  author = {Christoph Lange and Maxim Borisyak and Martin Kögler and Stefan Born and Andreas Ziehe and Peter Neubauer and M. Nicolas Cruz Bournazou},\n  keywords = {Raman spectroscopy, Machine learning, Partial least squares, Convolutional neural network},\n}",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "4b1abd46446960db516e14219ba0c3cba0d92ad3",
 "stated_evidence": "https://huggingface.co/datasets/chlange/RamanSpectraBioprocessAnalystesTimegate/blob/4b1abd46446960db516e14219ba0c3cba0d92ad3/README.md",
 "file_evidence": "https://huggingface.co/datasets/chlange/RamanSpectraBioprocessAnalystesTimegate/tree/4b1abd46446960db516e14219ba0c3cba0d92ad3",
 "card_nc": false
}