Datasets for replicating paper "Nitroaromatic Explosives detection and quantification using Attention-based Transformer on surface-enhanced Raman spectroscopy maps"
<p>The datasets for replicating the paper "Nitroaromatic Explosives detection and quantification using Attention-based Transformer on surface-enhanced Raman spectroscopy maps". Detailed instructions about how to use the dataset can be found at: https://github.com/lyn1874/molecule_detection_and_quantification_vit</p>
<p>If you use this dataset, please cite:</p>
<p>@Article{D3AN00446E,</p>
<p>author ="Li, Bo and Zappalá, Giulia and Dumont, Elodie and Boisen, Anja and Rindzevicius, Tomas and Schmidt, Mikkel and Alstrøm, Tommy Sonne",</p>
<p>title ="Nitroaromatic explosives detection and quantification using attention-based transformer on surface-enhanced Raman spectroscopy maps",</p>
<p>journal ="Analyst",</p>
<p>year ="2023",</p>
<p>pages ="-",</p>
<p>publisher ="The Royal Society of Chemistry",</p>
<p>doi ="10.1039/D3AN00446E",</p>
<p>url ="http://dx.doi.org/10.1039/D3AN00446E",}</p>
<p><br></p>
<p>This item is part of the collection: </p>
<p><a href="https://doi.org/10.11583/dtu.c.6434966" target="_blank">https://doi.org/10.11583/dtu.c.6434966</a> </p>
Funding
European Union’s Horizon 2020 research and innovation programme under grant agreement no. 883390 (H2020-SU-SECU-2019 SERSing Project)
Advanced Surface Enhanced Raman Spectroscopy (SERS) based technologies for gas and liquids sensING in the area of chemical protection