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Frederik Tilmann

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#machine learning Preprint Sep 2026

SeisBench DAS: A machine learning framework for Distributed Acoustic Sensing

SeisBench DAS is an extension to the SeisBench library for machine learning in seismology that defines standard formats for DAS benchmark datasets, including standardised metadata and labels, and DAS models, and builds on the xdas framework for data ingestion and virtual array handling.

Jannes Münchmeyer, Han Xiao, Frederik Tilmann · 0 citations