Dynamic Image Analysis: Python Notebooks, Particle Datasets, and Simulation Results
收藏DataCite Commons2025-07-22 更新2026-05-04 收录
下载链接:
https://opara.zih.tu-dresden.de/items/64214682-29bc-4db9-a1d4-33923755258c
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资源简介:
This submission serves as a validation dataset for the simulation results of 2D imaging methods from 3D particle meshes. The submission contains dynamic image analysis data that can be used for validation of simulation results, Python notebooks for extraction of particles and calculation of particle characteristics, and the final results in as pickled Pandas DataFrames and CSV files. This dataset extends to previous submission: https://doi.org/10.25532/OPARA-479 and https://doi.org/10.25532/OPARA-587, which contain the 3D particle dataset and the simulation algorithm notebooks.
提供机构:
Technische Universität Bergakademie Freiberg
创建时间:
2024-08-20



