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Data and code for the publication "Assessing the Behavior of Microplastics in Fluvial Systems: Infiltration and Retention Dynamics in Streambed Sediments" - Part 1(2)

Zenodo (CERN European Organization for Nuclear Research) 2023 Score: 30 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Jan‐Pascal Boos, Jan‐Pascal Boos, Jan‐Pascal Boos, Jan‐Pascal Boos, Jan‐Pascal Boos, Jan‐Pascal Boos, Jan‐Pascal Boos, Jan‐Pascal Boos, Jan‐Pascal Boos, Jan‐Pascal Boos, Jan‐Pascal Boos, Jan‐Pascal Boos, Sven Frei Sven Frei Benjamin Gilfedder, Franz Dichgans, Jan H. Fleckenstein, Franz Dichgans, Franz Dichgans, Jan‐Pascal Boos, Franz Dichgans, Franz Dichgans, Benjamin Gilfedder, Franz Dichgans, Franz Dichgans, Franz Dichgans, Franz Dichgans, Franz Dichgans, Franz Dichgans, Franz Dichgans, Benjamin Gilfedder, Franz Dichgans, Benjamin Gilfedder, Benjamin Gilfedder, Benjamin Gilfedder, Benjamin Gilfedder, Benjamin Gilfedder, Benjamin Gilfedder, Benjamin Gilfedder, Benjamin Gilfedder, Benjamin Gilfedder, Benjamin Gilfedder, Sven Frei Sven Frei Sven Frei Sven Frei Sven Frei Jan‐Pascal Boos, Jan‐Pascal Boos, Jan‐Pascal Boos, Benjamin Gilfedder, Jan H. Fleckenstein, Sven Frei Sven Frei Jan‐Pascal Boos, Franz Dichgans, Sven Frei Sven Frei Jan H. Fleckenstein, Franz Dichgans, Franz Dichgans, Sven Frei Benjamin Gilfedder, Sven Frei Sven Frei Benjamin Gilfedder, Benjamin Gilfedder, Jan H. Fleckenstein, Benjamin Gilfedder, Jan‐Pascal Boos, Jan‐Pascal Boos, Sven Frei Jan H. Fleckenstein, Benjamin Gilfedder, Jan H. Fleckenstein, Jan‐Pascal Boos, Jan H. Fleckenstein, Jan‐Pascal Boos, Jan H. Fleckenstein, Jan H. Fleckenstein, Sven Frei Jan H. Fleckenstein, Jan‐Pascal Boos, Jan H. Fleckenstein, Benjamin Gilfedder, Benjamin Gilfedder, Benjamin Gilfedder, Sven Frei Sven Frei Sven Frei Sven Frei Sven Frei Sven Frei Sven Frei Jan H. Fleckenstein, Jan H. Fleckenstein, Jan H. Fleckenstein, Jan H. Fleckenstein, Benjamin Gilfedder, Benjamin Gilfedder, Jan H. Fleckenstein, Benjamin Gilfedder, Benjamin Gilfedder, Jan H. Fleckenstein, Benjamin Gilfedder, Benjamin Gilfedder, Jan H. Fleckenstein, Jan H. Fleckenstein, Benjamin Gilfedder, Sven Frei Jan H. Fleckenstein, Sven Frei Sven Frei Jan H. Fleckenstein, Benjamin Gilfedder, Benjamin Gilfedder, Benjamin Gilfedder, Jan H. Fleckenstein, Sven Frei Jan H. Fleckenstein, Benjamin Gilfedder, Sven Frei Sven Frei Sven Frei Benjamin Gilfedder, Jan H. Fleckenstein, Sven Frei Sven Frei Benjamin Gilfedder, Sven Frei Jan H. Fleckenstein, Benjamin Gilfedder, Sven Frei Sven Frei Jan H. Fleckenstein, Jan‐Pascal Boos, Jan‐Pascal Boos, Benjamin Gilfedder, Jan‐Pascal Boos, Jan‐Pascal Boos, Sven Frei Sven Frei Sven Frei Sven Frei

Summary

This dataset supports research on how microplastics move through streambed sediments in experimental flume conditions, measuring infiltration and retention dynamics. Understanding microplastic trapping in riverbeds is important for predicting their long-term fate in freshwater ecosystems.

Background The dataset contains data on Microplastic transport experiments run in an experimental flume of the University of Bayreuth. It was analysed in the paper by J.P. Boos, F. Dichgans, J.H. Fleckenstein, B.S. Gilfedder and S. Frei, "Assessing the Behavior of Microplastics in Fluvial Systems: Infiltration and Retention Dynamics in Streambed Sediments", currently under review in Water Resources Research Description of the dataset This dataset is the main dataset used for the analysis. There is a twin archive connected to this one, which contains the dataset which was used for the individual particle detection routines (10.5281/zenodo.10081788). The files have to be downloaded and merged into the folder structure. The following data is included individual experimental data and results in the folders 210812 (10 µm, coarse sand, low-flow) 220727 (1 µm, coarse sand, low flow) 220803 (3 µm, coarse sand, low-flow) 220818 (1 µm, fine sand, low-flow) 220901 (1 µm, coarse sand, high-flow) Comparison (comparing individual results of the experiments) Scripts (contains the individual matlab scripts) labbook.xlsx (contains metadata on the experiments, which are read out in the matlab scripts) Description of the code The matlab scripts *.m contain the code to read and analyse all experimental data. The scripts are divided for the different input file types. Main scripts to analyze experimental data Experiment_Main.m Main routine for individual experiments, reading and analysing Fluorometer, Levelogger, Flowmeter, Ultrasonics PIV Experiment_Main_Compare.m Comparison of individual experiment results FIS-dataset FIS_Cal_Individual.m: Realizes individual calibrations of one experiment FIS_Cal_Result.m: Merges individual calibrations of one experiment Experiment_FIS.m: Load data of one experiment, detect interfaces. Followed by Experiment_FIS_1pix: Individual particle detection (for 10 µm experiment, no binning) Experiment_FIS_10pix: Particle cloud analysis (all experiments, binning 10 Pix * 10 Pix) Experiment_FIS_10pix_compare.m: Compare results of particle cloud analysis for all experiments. Fluo-data Fluo_Cal.m Realizes calibration for Fluorometer devices PIV-dataset PIV_individual.m Individual analysis of Particle Image Velocimetry (in total 9 different subdatasets, from 3 camera positions, and each 3 different illumination positions) PIV_merge.m Merge 9 individual results of PIV for a result for one experiment Profiler-dataset Profiler.m Analyses data from bedform profiling (merging individual measurements after the experiment) Profiler_Compare.m Compares bedform elevations and metrics between the 5 experiments (acquired after the experiment) Profiler_Time.m Analyses temporal change of bedform elevation during the experiment Disclaimer The data and code are provided as is without any warranty. Funding Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) -– Project Number 391977956 –- SFB 1357.

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