Correlation-derived seismic phase arrival times from matched-filter studies of Yellowstone (Wyoming) 2017, Kilauea volcano (Hawaii) 2018, and Ridgecrest (California) 2019: A dataset for developing phase-picking neural networks

Description

This dataset contains correlation-derived seismic phase arrival times from three different studies: 1. Maple Creek Earthquake Swarm, Yellowstone, Wyoming, June 11 to September 6, 2017: Shelly, D. R., & J. L. Hardebeck (2019). Illuminating faulting complexity of the 2017 Yellowstone Maple Creek earthquake swarm. Geophysical Research Letters, 46, 2544– 2552. https://doi.org/10.1029/2018GL081607 2. Kilauea summit eruption earthquake sequence, Hawaii, April 29 to August 6, 2018: Shelly, D. R., & W. A. Thelen (2019). Anatomy of a caldera collapse: Kīlauea 2018 summit seismicity sequence in high resolution. Geophysical Research Letters, 46, 14395– 14403. https://doi.org/10.1029/2019GL085636 (IP-113843, approved 11/19/2019 Shelly, D.R., and W. A. Thelen, 2020, High resolution earthquake catalogs from the 2018 Kilauea eruption sequence: U.S. Geological Survey data release, https://doi.org/10.5066/P9DMIFMW 3. Ridgecrest earthquake sequence, California, July 4-16, 2019: Shelly, D. R. (2020) A High‐Resolution Seismic Catalog for the Initial 2019 Ridgecrest Earthquake Sequence: Foreshocks, Aftershocks, and Faulting Complexity. Seismological Research Letters, 91 (4): 1971–1978. doi: https://doi.org/10.1785/0220190309 (IP-113928, approved 11/19/2019) Shelly, D.R., 2020, A High-Resolution Seismic Catalog for the Initial 2019 Ridgecrest Earthquake Sequence: U.S. Geological Survey data release, https://doi.org/10.5066/P9JN6H0N.

Resources

Name Format Description Link
55 Landing page for access to the data https://doi.org/10.5066/P13JCJ2I
55 The metadata original format https://data.usgs.gov/datacatalog/metadata/USGS.667b1415d34e6151c9d6bcfd.xml

Tags

  • earthquake-hazards
  • template-matching
  • ghsc
  • earthquake
  • seismic
  • usgs
  • usgs-667b1415d34e6151c9d6bcfd
  • plate-tectonics
  • machine-learning

Topics

Categories