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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Environmental Sources Marine & Wildlife Nanoplastics Remediation Sign in to save

Dataset accompanying the publication "Transport and retention of micro-Polystyrene in coarse riverbed sediments: Effects of flow velocity, particle and sediment sizes"

Zenodo (CERN European Organization for Nuclear Research) 2023
Matthias Munz, Constantin Loui, Denise Postler, Marco Pittroff, Sascha E. Oswald

Summary

This repository contains raw image data from filter samples used in a study on microplastic transport in riverbed sediments. The dataset supports reproducible research on how polystyrene microplastics behave under different river flow conditions.

Polymers
PS
Study Type Environmental

The dataset in this repository is accompanying the publication "Transport and retention of micro-Polystyrene in coarse riverbed sediments: Effects of flow velocity, particle and sediment sizes" (in Microplastics and Nanoplastics, 2023, submitted 09.06.2023) The repository contains the raw image files of all sample filters which were scanned using the fluorescence imaging system ChemiDoc and used to analyse the infiltration behaviour of microplastic polystyrene 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.

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