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Metadata Files

Data Publication

Granular Healing - Python module associated to the 2022 GeoMod material benchmark

Rudolf, Michael

GFZ Data Services

(2023)

Descriptions

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.
License: GNU General Public License, Version 3, 29 June 2007 Copyright © 2023 Michael Rudolf Granular-Healing is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. Granular-Healing is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see .
To install the package run: "python -m pip install git+https://git.gfz-potsdam.de/analab-code/granular-healing.git" To run the script run: "python -m granularhealing"

Keywords


Originally assigned keywords
EPOS
multi-scale laboratories
analogue models of geologic processes
software tools
ring shear tester
In Situ/Laboratory Instruments > Gauges > RING SHEAR TESTERS
science > informatics > data processing system

Source

https://dataservices.gfz-potsdam.de/panmetaworks/showshort.php?id=c510e201-a306-11ed-95b8-f851ad6d1e4b

Source publisher

GFZ Data Services


DOI

10.5880/fidgeo.2023.010


Creators

Rudolf, Michael

Technical University Darmstadt

ORCID:

https://orcid.org/0000-0002-5077-5221


Contributors

Rudolf, Michael

Researcher

Technical University Darmstadt

ORCID:

https://orcid.org/0000-0002-5077-5221

Rudolf, Michael

ContactPerson

Technical University Darmstadt


References

10.5880/fidgeo.2023.009

https://git.gfz-potsdam.de/analab-code/granular-healing


Citation

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


Dates

Issued:

2023


Funding References

Funder name: Deutsche Forschungsgemeinschaft

Funder identifier: https://doi.org/10.13039/501100001659

Funder identifier type: Crossref Funder ID

Award number: 235221301

Award title: CRC 1114 ”Scaling Cascades in Complex Systems”, Project B01 ”Fault networks and scaling properties of deformation accumulation”


Rights

GNU Lesser General Public License (Version 3, 29 June 2007) (C) 2022 Rudolf, Michael (TU Darmstadt, Germany)