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Particle tracking algorithm and additional data for "Optimized and Validated Settling Velocity Measurement for Small Microplastic Particles (10–400 µm)"

Zenodo (CERN European Organization for Nuclear Research) 2023 3 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Stefan Dittmar

Summary

Researchers developed and published a particle tracking algorithm and supplementary datasets supporting validated settling velocity measurements for small microplastic particles in the 10-400 µm size range. The repository includes image processing routines, single-particle raw settling data, empirical model results for particle interaction effects, and supporting videos.

This repository provides additional files for in the publication "Optimized and Validated Settling Velocity Measurement for Small Microplastic Particles (10–400 µm)" by Stefan Dittmar, Aki Sebastian Ruhl and Martin Jekel (DOI: 10.1021/acsestwater.3c00457) It contains: - image processing routine for particle tracking written in Python (1_particle_tracking_algorithm.zip)- single particle raw data from settling experiments (2_settling_data.zip)- single particle data from appyling empirical model for interactions between settling particles (3_model_results_data.zip)- additional video & animated graph referenced in publication or SI (4_videos.zip)

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