Technical University of Denmark
Browse
datasets.zip (1.2 GB)

Datasets for replicating paper "Nitroaromatic Explosives detection and quantification using Attention-based Transformer on surface-enhanced Raman spectroscopy maps"

Download (1.2 GB)

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

If you use this dataset, please cite:

@Article{D3AN00446E,

author ="Li, Bo and Zappalá, Giulia and Dumont, Elodie and Boisen, Anja and Rindzevicius, Tomas and Schmidt, Mikkel and Alstrøm, Tommy Sonne",

title ="Nitroaromatic explosives detection and quantification using attention-based transformer on surface-enhanced Raman spectroscopy maps",

journal ="Analyst",

year ="2023",

pages ="-",

publisher ="The Royal Society of Chemistry",

doi ="10.1039/D3AN00446E",

url ="http://dx.doi.org/10.1039/D3AN00446E",}


This item is part of the collection:   

https://doi.org/10.11583/dtu.c.6434966 

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

European Commission

Find out more...

History

ORCID for corresponding depositor

Usage metrics

    DTU Compute

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC