Dataset for the PNAS article titled 'Accurate Virus Identification with Interpretable Raman Signatures by Machine Learning'

About Dataset Context The dataset is acquired via the VIRRION platform designed for label-free capture and enrichment of viruses. It consists of Raman spectra of three groups of RNA viruses, including human respiratory viruses (influenza A H1N1 and H3N2, influenza B, rhinovirus, respiratory syncytial virus (RSV)), avian respiratory viruses (influenza A H5N2 and H7N2, infectious bronchitis virus (IBV), reovirus), and human enteroviruses (Coxsackievirus B type 1 and 3 (CVB1, CVB3), enteroviruses EV70 and EV71). Content The dataset contains 10 sample Raman Spectra for each virus type/subtype in “virus_spectra.zip”, and visualization of the spectra in “virus_spectra_plots.zip”. The Raman mapping data of spectra was collected for each sample by the 20X20 grid, and the first two colomns are the corresponding X and Y coordinates respectively. In each txt file that corresponds to one Raman spectrum, the columns are: X coordinate Y coordinate Wavenumber Signal Intensity More data and machine learning source code More data are available upon request, for research purposes only. Please email [e-mail] (Dr. Mauricio Terrones) with a short description about the purpose of usage along with your request for more data. The machine learning source code for our work is available via the GitHub Repo below: https://github.com/karenyyy/Accurate-Virus-Identification-with-Interpretable-Raman-Signatures-by-Machine-Learning-.git