Datasets for replicating the paper "Raman Spectrum Matching with Contrastive Representation Learning"

<p>Datasets Mineral and Organic for replicating the paper "Raman spectrum matching with contrastive learning". </p> <p><br></p> <p>The detailed instruction about how to use the dataset, please visit our Github Repository. </p> <p><br></p> <p>To use these two datasets, please cite:</p> <p><br></p> <p>@inproceedings{Lafuente2016ThePO,</p> <p>  title={The power of databases: The RRUFF project},</p> <p>  author={B. Lafuente and R. Downs and Hexiong Yang and N. Stone},</p> <p>  booktitle = {Highlights in Mineralogical Crystallography},</p> <p>  year={2016}</p> <p>}</p> <p><br></p> <p>@article{organic_dataset,</p> <p>author = {Zhang, Rui and Xie, Huimin and Cai, Shuning and Hu, Yong and Liu, Guo-kun and Hong, Wenjing and Tian, Zhong-qun},</p> <p>title = {Transfer-learning-based Raman spectra identification},</p> <p>journal = {Journal of Raman Spectroscopy},</p> <p>volume = {51},</p> <p>number = {1},</p> <p>pages = {176-186},</p> <p>keywords = {deep learning, Raman spectroscopy, transfer learning},</p> <p>year = {2020}</p> <p>}</p> <p><br></p> <p>@Article{D2AN00403H,</p> <p>author ="Li, Bo and Schmidt, Mikkel N. and Alstrøm, Tommy S.",</p> <p>title  ="Raman spectrum matching with contrastive representation learning",</p> <p>journal  ="Analyst",</p> <p>year  ="2022",</p> <p>volume  ="147",</p> <p>issue  ="10",</p> <p>pages  ="2238-2246",</p> <p>publisher  ="The Royal Society of Chemistry",</p> <p>doi  ="<a href="https://doi.org/10.1039/d2an00403h" target="_blank">https://doi.org/10.1039/d2an00403h</a>",</p> <p>url  ="http://dx.doi.org/10.1039/D2AN00403H",</p> <p>}</p>