Distributed acoustic sensing (das) data associated with a 6-month seismic monitoring of the schäftlarnstraße geothermal site (munich, germany)

TechnicalRemarks: Data associated with Azzola et al. 2022 (submitted to Solid Earth) ' Towards real-time seismic monitoring of a geothermal plant using Distributed Acoustic Sensing '

• 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 manage, in particular, the reading of the HDF5 files generated by the interrogator and transferred to the data lake.

Corresponding author: Jerome Azzola, jerome.azzola@kit.edu