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

Stefan Dittmar

doi:10.5281/zenodo.7848247

0

Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Sign in to save

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

Stefan Dittmar

Summary

This dataset and code repository accompanies a study on measuring the settling velocity of small microplastic particles (10–400 µm) in water. The materials include image processing routines and particle tracking algorithms designed to improve measurement accuracy for tiny plastic fragments. Accurate settling data helps predict how microplastics distribute in water bodies.

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)

Read via DOI Download PDF

Share this paper

Post Share Share Pin Email