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Data Publication
Granular Healing - Python module associated to the 2022 GeoMod material benchmark
Rudolf, Michael
GFZ Data Services
(2023)
The software is provided as an executable python module. The software automatically analyzes the files present in the data publication. The results are saved in the form of the images presented in the main publication. Each figure is implemented as a dedicated function that first loads the necessary data, then does some processing steps, such as curve fitting, and then plots the outputs in the desired layout. A 'main' function calls all figure functions sequentially. However, the packages is modular so that each individual plot has a standalone function which could be used with other, similarly structured data. Several submodules provide additional data for plotting, e.g. the 'groups' submodule that contains naming schemes and the densities for all samples.
Keywords
Originally assigned keywords
MSL original sub domains
MSL enriched sub domains i
Source publisher
GFZ Data Services
DOI
10.5880/fidgeo.2023.010
Authors
Rudolf, Michael
0000-0002-5077-5221
Technical University Darmstadt
References
Rudolf, M., Rosenau, M., & Oncken, O. (2023). <i>Slide-Hold-Slide Data of Granular Materials Used In Analogue Modelling</i> [Data set]. GFZ Data Services. https://doi.org/10.5880/FIDGEO.2023.009
10.5880/fidgeo.2023.009
IsSupplementTo
DOI of paper when available
IsSupplementTo
IsVariantFormOf
Contact
Rudolf, Michael
rudolf@geo.tu-darmstadt.de
Technical University Darmstadt
Citiation
Rudolf, M. (2023). Granular Healing - Python module associated to the 2022 GeoMod material benchmark. GFZ Data Services. https://doi.org/10.5880/FIDGEO.2023.010