Dynamic Image Analysis: Python Notebooks, Particle Datasets, and Simulation Results
Contributing person | Thomas Buchwald | |
Contributing person | Gerhard Pentz | |
Contributing person | Antje Hänig | |
Contributing person | Urs A. Peuker | |
Countries to which the data refer | GERMANY | |
References to related material | https://doi.org/10.25532/OPARA-479 | |
References to related material | https://doi.org/10.25532/OPARA-587 | |
Type of the data | Dataset | |
Type of the data | Model | |
Total size of the dataset | 6656069674 | |
Author | Buchwald, Thomas | |
Upload date | 2024-08-20T13:30:50Z | |
Publication date | 2024-08-20T13:30:50Z | |
Data of data creation | 2024-08-07 | |
Publication date | 2024-08-20 | |
Abstract of the dataset | 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. | |
Public reference to this page | https://opara.zih.tu-dresden.de/handle/123456789/859 | |
Public reference to this page | https://doi.org/10.25532/OPARA-595 | |
Publisher | Technische Universität Bergakademie Freiberg | |
Licence | Attribution 4.0 International | en |
URI of the licence text | http://creativecommons.org/licenses/by/4.0/ | |
Specification of the discipline(s) | 4::42::403::403-03 | |
Specification of the discipline(s) | 4::43::406::406-04 | |
Title of the dataset | Dynamic Image Analysis: Python Notebooks, Particle Datasets, and Simulation Results | |
Research instruments | Fritsch Analysette 28 ImageSizer | |
Underlying research object | solid particles of several origins | |
Software | Python 3.12 | |
Project abstract | 2D projection imaging techniques are simulated with 3D particle data from tomography measurements. This 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. | |
Project title | 2D Particle Imaging Simulation |
Files
Original bundle
- Name:
- dynamic_image_analysis.zip
- Size:
- 7.01 MB
- Format:
- Unknown data format
- Description:
- This container provides the Python notebooks, results, and a single image for demonstration of methods. If you want to use the notebooks on the image data, extract the other ZIP archive into the same root directory of this current one.
- Name:
- image_data.zip
- Size:
- 6.19 GB
- Format:
- Unknown data format
- Description:
- This archive contains all the images produced by the dynamic image analysis apparatus and the particles extracted from them with the Python code contained in the notebooks, which are found in the other ZIP archive of this collection.
License bundle
- Name:
- license.txt
- Size:
- 4.66 KB
- Format:
- Item-specific license agreed to upon submission
- Description:
Collections
