A Bayesian Monte-Carlo Inversion of Spatial Auto-Correlation (SPAC) for Near-Surface Vs Structure Applied to both Broadband and Geophone Data - Data release

Description

The datasets for this investigation consist of microtremor array data collected at: 1) 18 sites in Salt Lake and Utah valleys, Utah, and 2) two sites as part of the Frontier Observatory for Research in Geothermal Energy (FORGE) near Milford, Utah. Each of the 18 sites in the Salt Lake and Utah valleys were acquired with four-sensor arrays with three-component (3C) sensors having flat response from 0.033 Hz to 50 Hz. The data acquired as part of the FORGE investigation used both 3C broadband and 5-Hz geophone sensors. Additional information on these datasets can be found in the supporting documentation provided in this data release as well as in the paper by Zhang and others (2019) that utilized these data.

Resources

Name Format Description Link
55 The metadata original format https://data.usgs.gov/datacatalog/metadata/USGS.5c647629e4b0fe48cb373ea5.xml
55 Landing page for access to the data https://doi.org/10.5066/P9OXYQST

Tags

  • near-surface-vs-structure
  • ghsc
  • geophone
  • spatial-auto-correlation
  • geologic-hazards-science-center
  • earthquake-hazard
  • spac
  • earthquake-hazards-program
  • ehp
  • usgs-5c647629e4b0fe48cb373ea5
  • bayesian-monte-carlo-inversion
  • broadband
  • usgs
  • earth-science

Topics

Categories