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Data example and code used in the publication "Is transport of microplastics different from that of mineral dust? Results from idealized wind tunnel studies"

Zenodo (CERN European Organization for Nuclear Research) 2023
Eike Maximilian Esders, Wolfgang Babel, Wolfgang Babel, Christoph Thomas

Summary

This duplicate dataset entry accompanies a wind tunnel study examining how airborne microplastic transport compares to mineral dust. Atmospheric transport of microplastics is an important but understudied pathway for distributing plastic contamination to remote environments.

Background The code labels microspheres and counts them. Further, the code determines which microspheres are independent of microsphere-microsphere collisions by their relative position to the other microspheres in an image. Images were taken with a full-frame visual camera (Sony Alpha 7RII) with a long-distance-microscopy lens (K2 DistaMax). Description of the dataset image_data_all.zip contains 228 tif-format images taken in a single experiment the images show borosilicate microspheres with diameters from 63 to 75 µm during the experiment, the microspheres are detached from the substrate and are transported out of the image functions_particle_labeling.jl contains all necessary functions for particle labeling analysis_protocol.jl is an example, that first determines a color threshold, and then labels all microspheres in all images stored in "image_data_all/substrate_a/image_data_single_experiment" post_processing_visualisation.R is an r-script, that reads the output of analysis_protocol.jl and demonstrates how logistic functions were fitted to the data We used julia 1.8.5 and R 4.3.0.

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