Distributed Acoustic Sensing (DAS) data associated with a 6-month seismic monitoring of the Schäftlarnstraße geothermal site (Munich, Germany)

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, [e-mail]