X-ray CT Data of Lunar Regolith Simulants and Gray Value Sensitive Simulation Data
Contributing person | Thomas Buchwald | |
Contributing person | Urs A. Peuker | |
Documentation of the data | The raw TIFF stacks can be used for other data analysis methods too. Further details are described in the README.md. | |
Countries to which the data refer | GERMANY | |
Description of the data | The dataset consists of reconstructed raw tomograms of four lunar regolith simulants (JSC-1A, LMS-1, LHS-1, OB1A). Each set is provided as stacks of two-dimensional TIFF files and includes screenshots of acquisition parameters, reconstruction parameters, and a preview image. In addition, a Jupyter Notebook is included that demonstrates the generation of particle fingerprints and the simulation of common imaging artifacts. To complement this, artificially generated particle stacks are provided, simulating spherical particle assemblies at different binning levels. These synthetic data sets illustrate the influence of propagation-based phase contrast and partial volume effects on the fingerprint visualization. All 4 particle samples have been provided by the Lunar Geotechnical Facility of NASA in Houston, Texas. | |
Type of the data | Image | |
Type of the data | Text | |
Type of the data | Other | |
Total size of the dataset | 4935121905 | |
Author | Ditscherlein, Ralf | |
Upload date | 2026-02-18T14:03:19Z | |
Publication date | 2026-02-18T14:03:19Z | |
Data of data creation | 2025 | |
Publication date | 2026-02-18 | |
Abstract of the dataset | This dataset provides reconstructed X-ray microtomography data of four lunar regolith simulants together with simulated data for method evaluation. The dataset enables reproducibility of the particle fingerprint visualization technique, supports exploration of imaging artifacts, and provides reference implementations in Python. It is intended for use in particle system characterization, image analysis, and method benchmarking. | |
Public reference to this page | https://opara.zih.tu-dresden.de/handle/123456789/2084 | |
Public reference to this page | https://doi.org/10.25532/OPARA-1105 | |
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) | 3::34::316::316-01 | |
Specification of the discipline(s) | 4::42::403::403-03 | |
Title of the dataset | X-ray CT Data of Lunar Regolith Simulants and Gray Value Sensitive Simulation Data | |
Research instruments | X-ray CT , type ZEISS Xradia VERSA 510 | |
Underlying research object | regolith particles | |
Software | Python 3.1 | |
Software | Image Viewer | |
Project abstract | The particle system fingerprint (PSF) is a new visualization technique designed to analyze large–scale particle–discrete data sets efficiently. It transforms individual gray value histograms into stacked and sorted 2D patterns, encoding frequency data into gray scale for intuitive interpretation. Using X–ray tomography data sets, such as lunar regolith simulants, this method effectively highlights compositional variations across thousands of particles while maintaining key distribution features. The approach is particularly suited for applications like quality control, process monitoring, and the overview analysis of complex particle systems. | |
Project title | Particle System Fingerprint (PSF) |
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