Curated Regional Earthquake Waveforms (CREW) Dataset

Authors

  • Albert Leonardo Aguilar Suarez Stanford University
  • Greg Beroza

DOI:

https://doi.org/10.26443/seismica.v3i1.1049

Keywords:

deep learning, database

Abstract

We have assembled CREW, the Curated Regional Earthquake Waveforms Dataset, which is a dataset of earthquake arrivals recorded at local and regional distances. CREW was assembled from millions of waveforms with quality control through semi-supervised learning. CREW includes 1.6 million waveforms that have global coverage. Each waveform consists of a 5 minute three component seismogram with labels for both a P and S arrival. CREW provides a high quality labelled waveform data set that can be used to develop and test machine learning models for the analysis of earthquakes recorded at regional distances.

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Published

2024-05-23

How to Cite

Aguilar Suarez, A. L., & Beroza, G. (2024). Curated Regional Earthquake Waveforms (CREW) Dataset. Seismica, 3(1). https://doi.org/10.26443/seismica.v3i1.1049

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