2026-10-13T18:54:53Zhttps://www.radar-service.eu/oai/OAIHandler

10.35097/14302026-10-09T10:53:01Zradar4kit

https://dx.doi.org/10.35097/1430 Azzola, Jérôme Thiemann, Katja Gaucher, Emmanuel Distributed Acoustic Sensing (DAS) data associated with a 6-month seismic monitoring of the Schäftlarnstraße geothermal site (Munich, Germany) Karlsruhe Institute of Technology 2023 Other Allgemeines, Hochschulwesen, Wissenschaft und Forschung dataset Dataset info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode Data associated with Azzola J, Thiemann K, Gaucher E. Integration of Distributed Acoustic Sensing for real-time seismic monitoring of a geothermal field. Geothermal Energy – Science, Society and Technology. 2023. - mini-seed files include data subsets for both events studied in the article: DAS strain-rate data are sampled at 500Hz and provided unfiltered, with station names defined as the depth of the measuring point in well TH3 (datum is ground level). - python codes associated with the processing of the DAS strain-rate datasets on the Azure cloud work stations. The codes aim in particular at reading HDF5 files generated by the interrogator and transferred to the Azure data lake. Corresponding author: Jerome Azzola, jerome.azzola@kit.edu INSIDE 10.5445/IR/1000157458 KITopen-DOI https://publikationen.bibliothek.kit.edu/1000157458 application/x-tar