Community Needs of Open Research Data PractIces iN FibEr-Optic Sensing – Leading by Example

Community Needs of Open Research Data PractIces iN FibEr-Optic Sensing - Leading by Example

Category

Explore

Institutions

ETH Zurich

Data type

Distributed Acoustic Sensing (DAS)

Field

Seismology and Wave Physics

Researchers

Daniel Bowden

Description

Seismologists are seeing a revolution in instrumentation – fiber optic telecommunications cables can now be used to measure seismic waves. Brought to market in only the last few years, Distributed Acoustic Sensing (DAS) instrumentation uses repeated pulses of light to measure changing time delays, and thus strains, along a fiber. Where previously a single seismometer could be costly to install and maintain, now thousands of DAS fiber ‘channels’ can record seismic waves throughout a city, across a glacier, along the sea floor, and many other places.With the new technology resurfaces an old challenge: data standards and storage. Dozens of data formats for these new DAS instruments exist, with nearly every research group defining their own ad-hoc standard. With the dense spatial and temporal sampling provided, a single researcher could produce 100’s of TB’s of data in a single year – data volumes for which the seismological community is not prepared to store and share easily.We’ve been working to test data formats and metadata standards, both within ETH and internationally. Namely, a collaborative effort of more than 32 such DAS datasets from across the globe were pooled and publicly shared from February of 2023, during and after the devastating earthquakes in Kahramanmaraş, Turkey. Our groups at ETH contributed 4 different datasets (more than any other institution), and contributed a robust set of python scripts to the repository to set an example for others to read, write, and maintain these datasets in a cohesive way.
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