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Nanoplastics
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Data and Code for the publication 'Floodplain vegetation filters microplastics during a major Rhine flood event'
Zenodo (CERN European Organization for Nuclear Research)2026
Score: 40
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0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Markus Rolf,
Christina Bogner,
Christian Laforsch,
Christian Laforsch,
Hannes Laermanns,
Markus Rolf,
Hannes Laermanns,
Markus Rolf,
Hannes Laermanns,
Hannes Laermanns,
Markus Rolf,
Markus Rolf,
Christina Bogner,
Markus Rolf,
Markus Rolf,
Hannes Laermanns,
Hannes Laermanns,
Hannes Laermanns,
Hannes Laermanns,
Hannes Laermanns,
Markus Rolf,
Markus Rolf,
Christina Bogner,
Christina Bogner,
Christina Bogner,
Christina Bogner,
Hannes Laermanns,
Hannes Laermanns,
Hannes Laermanns,
Hannes Laermanns,
Hannes Laermanns,
Hannes Laermanns,
Hannes Laermanns,
Hannes Laermanns,
Hannes Laermanns,
Martin G. J. Löder
Martin G. J. Löder
Hannes Laermanns,
Hannes Laermanns,
Markus Rolf,
Hannes Laermanns,
Hannes Laermanns,
Hannes Laermanns,
Hannes Laermanns,
Hannes Laermanns,
Hannes Laermanns,
Martin G. J. Löder,
Martin G. J. Löder,
Hannes Laermanns,
Markus Rolf,
Markus Rolf,
Markus Rolf,
Markus Rolf,
Markus Rolf,
Markus Rolf,
Markus Rolf,
Markus Rolf,
Hannes Laermanns,
Hannes Laermanns,
Christian Laforsch,
Markus Rolf,
Hannes Laermanns,
Hannes Laermanns,
Hannes Laermanns,
Hannes Laermanns,
Hannes Laermanns,
Hannes Laermanns,
Christian Laforsch,
Christian Laforsch,
Christian Laforsch,
Christian Laforsch,
Christian Laforsch,
Christian Laforsch,
Christian Laforsch,
Christian Laforsch,
Christian Laforsch,
Christian Laforsch,
Martin G. J. Löder
Christina Bogner,
Martin G. J. Löder,
Christian Laforsch,
Christian Laforsch,
Martin G. J. Löder
Martin G. J. Löder
Martin G. J. Löder
Hannes Laermanns,
Martin G. J. Löder,
Martin G. J. Löder,
Martin G. J. Löder,
Hannes Laermanns,
Martin G. J. Löder,
Martin G. J. Löder,
Markus Rolf,
Martin G. J. Löder,
Martin G. J. Löder,
Christina Bogner,
Martin G. J. Löder,
Martin G. J. Löder,
Martin G. J. Löder
Hannes Laermanns,
Martin G. J. Löder
Martin G. J. Löder
Martin G. J. Löder
Martin G. J. Löder
Christina Bogner,
Christina Bogner,
Christina Bogner,
Christian Laforsch,
Christina Bogner,
Christina Bogner,
Hannes Laermanns,
Martin G. J. Löder
Christina Bogner,
Hannes Laermanns,
Christina Bogner,
Christina Bogner,
Markus Rolf,
Christian Laforsch,
Martin G. J. Löder,
Hannes Laermanns,
Hannes Laermanns,
Hannes Laermanns,
Christina Bogner,
Hannes Laermanns,
Christian Laforsch,
Christian Laforsch,
Christian Laforsch,
Christian Laforsch,
Christian Laforsch,
Hannes Laermanns,
Hannes Laermanns,
Hannes Laermanns,
Christina Bogner,
Christina Bogner,
Christina Bogner,
Christina Bogner,
Christina Bogner,
Christina Bogner,
Christina Bogner,
Christian Laforsch,
Christian Laforsch,
Hannes Laermanns,
Christian Laforsch,
Martin G. J. Löder
Martin G. J. Löder,
Martin G. J. Löder
Christian Laforsch,
Martin G. J. Löder,
Christina Bogner,
Christina Bogner,
Martin G. J. Löder,
Christina Bogner,
Christian Laforsch,
Christina Bogner,
Christina Bogner,
Christina Bogner,
Christina Bogner,
Christina Bogner,
Martin G. J. Löder
Christian Laforsch,
Christina Bogner,
Christina Bogner,
Christina Bogner,
Christina Bogner,
Christina Bogner,
Christian Laforsch,
Christina Bogner,
Christian Laforsch,
Christian Laforsch,
Christian Laforsch,
Christina Bogner,
Christian Laforsch,
Christian Laforsch,
Christian Laforsch,
Christian Laforsch,
Christina Bogner,
Christina Bogner,
Martin G. J. Löder
Christina Bogner,
Martin G. J. Löder
Martin G. J. Löder,
Martin G. J. Löder,
Christina Bogner,
Christian Laforsch,
Christina Bogner,
Christina Bogner,
Christina Bogner,
Christina Bogner,
Christian Laforsch,
Christina Bogner,
Christina Bogner,
Christina Bogner,
Christina Bogner,
Christina Bogner,
Christian Laforsch,
Martin G. J. Löder
Christina Bogner,
Christian Laforsch,
Christian Laforsch,
Martin G. J. Löder
Martin G. J. Löder,
Martin G. J. Löder,
Martin G. J. Löder
Summary
This paper is a research data and code release accompanying a published study on how floodplain vegetation in Cologne, Germany acts as a natural filter for microplastics during major flood events on the Rhine River. The dataset includes meteorological measurements, plant biomass data, and microplastic counts from vegetation deposits after the 2021 flood. The underlying finding — that plants along riverbanks can trap significant quantities of microplastics during floods — has implications for understanding how natural landscapes slow the spread of plastic pollution into aquatic ecosystems.
The dataset contains data on meteological data, above ground biomass, deposit masses and microplastic abundances from deposits on floodplain vegetation in the floodplain Langel-Merkenich (Cologne, Germany) after the flood event 2021. They were analysed in the paper by M. Rolf, H. Laermanns, C. Laforsch, M. G. J. Löder, C. Bogner "Floodplain vegetation filters microplastics during a major Rhine flood event" (https://link.springer.com/article/10.1186/s43591-026-00181-w) published in Microplastics and Nanoplastics. The ZIP-file contains: 5x R-Markdown files: Start with Data_read_in, Analysis_plots_sqm, Analysis_plots_g, Correlation_plots and precip_data. 1x folder: MP_datasome folders are empty, but they will be used once you run the R-Code. The R-Code is running on R4.5.2 and RStudio 2026.01.0 Build 392. If you face any issue with dataset, please let me know.