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

Úna E Hogan, H B Voss, Benjamin Lei, Avery E Bec, Xinyi Feng, Rodney D L Smith

Abstract read

In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Raman spectra for plastics identification (RaSPI) and Raman maps for plastics identification (RaMPI) datasets.Scientific data · 2026
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Úna E HoganDepartment of Chemistry, University of Waterloo, 200 University Avenue W., Waterloo, Ontario, N2L 3G1, Canada.

H B VossDepartment of Chemistry, University of Waterloo, 200 University Avenue W., Waterloo, Ontario, N2L 3G1, Canada.

Benjamin LeiDepartment of Chemistry, University of Waterloo, 200 University Avenue W., Waterloo, Ontario, N2L 3G1, Canada.

Avery E BecDepartment of Chemistry, University of Waterloo, 200 University Avenue W., Waterloo, Ontario, N2L 3G1, Canada.

Xinyi FengDepartment of Chemistry, University of Waterloo, 200 University Avenue W., Waterloo, Ontario, N2L 3G1, Canada.

Rodney D L SmithDepartment of Chemistry, University of Waterloo, 200 University Avenue W., Waterloo, Ontario, N2L 3G1, Canada. rodsmith@uwaterloo.ca.ORCID http://orcid.org/0000-0003-1209-9653

Funding

Canada Foundation for Innovation (Fondation canadienne pour l'innovation) 37733Environment and Climate Change Canada (ECCC) ALLRP 558435-20Gouvernement du Canada | Natural Sciences and Engineering Research Council of Canada (Conseil de Recherches en Sciences Naturelles et en Génie du Canada) ALLRP 558435-20Ontario Ministry of Research, Innovation and Science (Ministère de la Recherche, de l'Innovation et des Sciences) 37733

6 · The paper itself

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 <1 cm

Identifiers

PMID41912531

DOI10.1038/s41597-026-07103-8

PMCPMC13194819

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.