awesome-das
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A curated list of DAS tools and resources.
Awesome DAS 
A curated list of awesome resources for distributed acoustic sensing (DAS).
Contents
- Data Management
- Data repositories
- Processing
- Visualisation
- Modelling
Data Management
- das-convert - Convert and downsample DAS data sets efficiently to established seismological data formats.
- dastools - tools to read, manipulate and convert seismic waveforms generated by DAS systems.
Processing
- distpy - An Open Source python module for rapid prototyping Distributed Acoustic Sensing (DAS) processing flows
- lightguide - Tools and modelling for distributed acoustic sensing data. Advanced de-noising filtering techniques. Integrates into Pyrocko.
- mldas - Machine Learning for distributed acoustic sensing.
- jDAS - Coherence-based Deep Learning denoising of DAS data.
Visualisation
- pyrocko - Pyrocko's snuffler can handle large DAS data sets efficiently and visualize waterfall plots interactively.
Modelling
- pyrocko.gf - Pyrocko-GF can forward model strain and strain-rate along the fiber's trajectory.
Data repositories
List of public DAS data repositories:
- PoroTomo Experiment at Brady Hot Springs (GDR OpenEI)
- FORGE Phase 2C (GDR OpenEI)
- Garner Valley (GDR OpenEI)
- Belgium DAS (Caltech)
- Monterrey Bay Dark Fiber (GitHub)
- RCA Shore Station outward along the Cascadia Margin (Announcement/FTP Link)
- PubDAS a PUBlic Distributed Acoustic Sensing datasets repository for geosciences ([Globus] (https://app.globus.org/file-manager?origin_id=706e304c-5def-11ec-9b5c-f9dfb1abb183&origin_path=%2F))
Selected earthquake data: