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Dataset accompanying the publication "Transport and retention of micro-Polystyrene in coarse riverbed sediments: Effects of flow velocity, particle and sediment sizes"
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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.
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.
More Papers Like This
Dataset accompanying the publication "Transport and retention of micro-Polystyrene in coarse riverbed sediments: Effects of flow velocity, particle and sediment sizes"
AI summary Read the abstract
This dataset accompanies a study on how flow velocity, particle size, and sediment grain size affect the transport and retention of polystyrene microplastics in riverbeds. The raw image files support research into how microplastics move through freshwater systems and accumulate in sediment.
Dataset accompanying the publication "Transport and retention of micro-Polystyrene in coarse riverbed sediments: Effects of flow velocity, particle and sediment sizes"
AI summary Read the abstract
This is an additional data repository accompanying the same study on microplastic transport in riverbed sediments. The data is provided to support reproducibility and further analysis of microplastic fate in freshwater environments.
Dataset accompanying the publication "Transport and Retention of Microplastics into gravelly riverbed sediment: A Polymer-Specific Column-Scale Study"
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Scientists tested how different types of plastic microparticles move through riverbed gravel—similar to how these particles might travel through natural water filtration systems. This matters because rivers often feed into the groundwater we drink, and understanding whether microplastics get trapped in sediment or flow through freely helps us predict how much of this pollution could end up in our water supply. Note: this dataset itself contains raw lab data and images, not the study's actual conclusions—you'd need to check the full paper for what the results mean for water safety.
Transport and retention of micro-polystyrene in coarse riverbed sediments: effects of flow velocity, particle and sediment sizes
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Researchers conducted column experiments to investigate how polystyrene microplastic fragments are transported and retained in coarse riverbed sediments under different flow conditions. They found that most particles were captured in the upper 15-20 centimeters of sediment, but smaller fragments between 100-500 micrometers could penetrate to depths of at least 50 centimeters. The study suggests that riverbeds can act as both temporary sinks and long-term retention sites for microplastics, slowing their transport from streams to oceans.
Dataset accompanying the publication "Transport and Retention of Microplastics into gravelly riverbed sediment: A Polymer-Specific Column-Scale Study"
AI summary Read the abstract
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.
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When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.