Data and codes for: Dynamics of particle lane formation in confined viscoelastic fluids under shear
Abstract
This repository contains the representative experimental datasets, particle tracking results, analysis scripts, numerical simulation code, and a modified ImageJ tracking plugin used in the following publication: Dynamics of particle lane formation in confined viscoelastic fluids under shearHiroto Yokoyama, Masanori Honda, Rinya Miyakawa, Yuki Shinohara, Kota Nakamura, Kojiro Otoguro, Kiwamu Yoshii, and Yutaka SuminoPhysical Review E (2026)https://doi.org/10.1103/cm4c-m7lw The repository contains the materials required to reproduce the quantitative analyses presented in Figs. 3, 5, 6, 7, and 9 of the paper. The dataset includes: Representative experimental movies Binary image stacks used for particle tracking Particle tracking results Python analysis scripts and Jupyter notebooks C++ simulation code A modified ImageJ tracking plugin based on MTrack2 (distributed under GPLv3+) To keep the repository size manageable, representative datasets are provided instead of the complete experimental datasets. The included data are sufficient to reproduce all quantitative analyses presented in the publication. Detailed instructions for reproducing each figure are provided in the README.md file contained in each archive.
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 2 July 2026
- Language
- EN
- Document type
- Dataset