Raman spectra for plastics identification (RaSPI) and Raman maps for plastics identification (RaMPI) datasets

Scientific Data 2026 Open access

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Authors: Úna. E. Hogan, H. B. Voss, Benjamin Lei, Avery E. Bec, Xinyi Feng, Rodney D. L. Smith
DOI: 10.1038/s41597-026-07103-8
Cited by: 2
References: 41

Abstract

Abstract Efforts to expedite accurate identification of environmental plastics pollution have strong focus on machine learning (ML) techniques. We published two Raman spectroscopy datasets to support the development of next-generation ML methods. The Raman spectra for plastics identification (RaSPI) dataset presents 402 high-quality Raman spectra with

Fields of Study & Subjects

Microplastics and Plastic Pollution Spectroscopy and Chemometric Analyses Recycling and Waste Management Techniques

Publication details

Journal / source
Scientific Data
Publisher
Springer Science and Business Media LLC
Volume
13
Issue
1
Publication date
30 March 2026
Language
EN