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Dataset accompanying the publication "Transport and Retention of Microplastics into gravelly riverbed sediment: A Polymer-Specific Column-Scale Study"

Zenodo (CERN European Organization for Nuclear Research) 2026
Constantin Loui, Matthias Munz, Marco Pittroff, Korinna Altmann, Sascha E. Oswald

Summary

Scientists tested how different types of plastic microparticles move through riverbed gravel—similar to how water filters through rocks in a stream—to see whether these tiny plastics get trapped or flow onward into water supplies. This matters because microplastics in rivers can end up in drinking water sources, and understanding which types of plastic get filtered out naturally versus which travel further helps researchers predict where contamination risks are highest. Note that this particular dataset shares the raw research data itself rather than presenting the full findings, so specific conclusions about health risks would come from the full published study.

Study Type Environmental

The dataset in this repository is accompanying the publication "Transport and Retention of Microplastics into gravelly riverbed sediment: A Polymer-Specific Column-Scale Study". The repository contains raw image files of sample filters which were scanned using the fluorescence imaging system ChemiDoc and used to analyse the infiltration behaviour of microplastics consisting of polymer types PET, PP, PS & PVC in the manuscript. In addition, we provide the resulting data from the particle identification and geometric analysis which were derived from the raw data using ImageJ in tabular excel format. The data is structured in folders following the naming of the columns from the manuscript. In addition, we have added breakthrough data for the fluorescein tracer and the sample masses as metadata.

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