Published February 4, 2025
| Version 1.0.0
Dataset
Open
Supplement to Qseek: A Data-Driven Framework for Automated Earthquake Detection, Localization and Characterization
Authors/Creators
-
1.
Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences
Contributors
Data collector:
Data curator:
Supervisor:
-
1.
University of Utah
-
2.
Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences
Description
Supplementary material to Qseek: A Data-Driven Framework for Machine-Learning Earthquake Detection, Localization and Characterization.
The dataset presents earthquake catalogs as CSV:
- Reykjanes Peninsula, 2020
- Eifel Large-N Experiment, 2022
- Utah FORGE, 2024
The qseek catalogs feature WKT coordinated for native plotting in QGIS.
The `-earthmodel.nd` files contain the seismic velocity model in Named Discontiunities format.
Files
eifel-edsw-catalog.csv
Files
(45.3 MB)
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Additional details
Funding
- United States Department of Energy
- Enhanced geothermal system concept testing and development at the Milford City, Utah FORGE site. DE-EE0007080
- Deutsche Forschungsgemeinschaft
- 517982028
Software
- Repository URL
- https://github.com/pyrocko/qseek
References
- Heimann, Sebastian; Kriegerowski, Marius; Isken, Marius; Cesca, Simone; Daout, Simon; Grigoli, Francesco; Juretzek, Carina; Megies, Tobias; Nooshiri, Nima; Steinberg, Andreas; Sudhaus, Henriette; Vasyura-Bathke, Hannes; Willey, Timothy; Dahm, Torsten (2017): Pyrocko - An open-source seismology toolbox and library. V. 0.3. GFZ Data Services. https://doi.org/10.5880/GFZ.2.1.2017.001