Published May 15, 2023 | Version v1
Dataset Open

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

  • 1. University of Bayreuth

Description

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.

 

Notes

This project was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), Project Number 391977956, SFB 1357, subprojects B05.

Files

image_data_all.zip

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Additional details

References

  • Bezanson, J., Edelman, A., Karpinski, S., and Shah, V.B. (2017). Julia: A Fresh Approach to Numerical Computing. SIAM Rev 59 (1):65–98. doi:10.1137/141000671.
  • R Core Team (2023). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.