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<div> <div> <div>Reference:</div> <div>&nbsp;</div> </div> </div> <div> <div> <div>Spicer, V.; Krokhin, O. V.</div> <div>Peptide Retention Time Prediction in Hydrophilic Interaction Liquid Chromatography. Comparison of Separation Selectivity between Bare Silica and Bonded Stationary Phases. J. Chromatogr. A 2018, 1534, 75&ndash;84, DOI: [10.1016/j.chroma.2017.12.046](https://doi.org/10.1016/j.chroma.2017.12.046)</div> </div> </div> <div>&nbsp;</div> <div> <div> <div>All datasets were implemented and curated from:</div> <div>&nbsp;</div> </div> </div> <div> <div> <div>Ma, C.; Ren, Y.; Yang, J.; Ren, Z.; Yang, H.; Liu, S.</div> <div>Improved Peptide Retention Time Prediction in Liquid Chromatography through Deep Learning. Anal. Chem. 2018, 90 (18), 10881&ndash;10888. DOI: [10.1021/acs.analchem.8b02386](https://doi.org/10.1021/acs.analchem.8b02386)</div> </div> </div>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

Dataset details

Repository
zenodo
Published
September 23, 2024
License
cc-by-4.0
DOI
10.5281/zenodo.13834519

Scored with release 0.9.0

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