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Dataset for the article titled 'Automatic Identification of Individual Nanoplastics by Raman spectroscopy based on Machine Learning'
Summary
This is a Raman spectral dataset supporting machine learning-based identification of individual nanoplastic particles, covering five common plastic types and over 1,000 individual nanoparticles.
Establishment of nanoplastic dataset. The spectra included in the nanoplastic database were obtained directly from the plastic samples. To establish the internal Raman spectral dataset, a total of 1,000 individual nanoparticles were examined, encompassing five common plastic contaminants, namely Polyethylene (PE), polytetrafluoroethylene (PTFE), Polystyrene (PS), polymethyl methacrylate (PMMA) and Polyvinyl chloride (PVC). For each specific plastic category, 200 nanoparticles were selected for subsequent analysis. Content In each txt file corresponding to a Raman spectrum, the first two columns are the corresponding X and Y coordinates, respectively. The columns are: X-coordinate - wavenumber, Y-coordinate - Raman signal intensity. More data are available upon request for research purposes only. Please send an email to zhanglw@fudan.edu.cn with a brief description of the purpose of use and your request for more data.