Skip to main content

Data

Realtime monitoring, station, and other various seismic data available for download. Data products to view and download.

Filter Total Items: 100

Fire following the Mw 7.0 HayWired earthquake scenario

These data are a geospatial representation of potential damage resulting from fires following the HayWired earthquake scenario, a magnitude 7.0 earthquake occurring on the Hayward Fault on April 18, 2018, with an epicenter in the city of Oakland, CA. These data take information about prevailing conditions (for example, average wind speed and direction) and potential hazard information (for example

Spatially averaged coherencies (krSPAC) and Rayleigh effective-mode modeling of microtremor data from asymmetric arrays

The datasets for this investigation consist of microtremor array data collected at sites in San Jose, California, Pleasanton, California, and synthetic microtremor array data created as part of a blind shear-wave velocity modeling study as part of the Third International Symposium on the Effects of Surface Geology on Seismic Motion (ESG2006), Grenoble, France, 30 August - 1 September 2006. The dat

Petrologic and Mineral Physics Database for use with the USGS National Crustal Model - Data Release

We present a petrologic and mineral physics database as part of the USGS National Crustal Model (NCM) for the western United States. Each of 209 geologic units, 134 of which are currently part of the geologic framework within the NCM, is assigned a mineralogical composition according to generalized classifications with some refinement for specific geologic formations. The mineral physics database

Data Release for Data Report: Permeability, porosity, and frictional strength of core samples from IODP Expedition 366 in the Mariana forearc

Core samples from the International Ocean Discovery Program (IODP) Expedition 366 were tested in the laboratory to determine permeability, porosity, density, and frictional strength and their relation to mineralogy as part of an effort to understand hydro-mechanical processes at convergent plate margins. Seven samples were tested from a depth range of 19.6 to 197.9 m below the sea floor. The sampl

Hurricane Harvey: A Damage Assessment of Texas' Central Gulf Coast

This data set serves as a damage scale that was created to assess the damage caused by Hurricane Harvey in August 2017. The damage scale ranges from 1 (undamaged) to 5 (total structure collapse, destroyed). A score of 1 was given to structures that had no damage, a score of 2 was given to structures with minor damage, a score of 3 was given to structures with moderate damage, a score of 4 was give

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

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

Shear-wave velocity in the Seattle basin to 2 km depth characterized with the krSPAC microtremor array method: insights for urban basin-scale imaging - Data Release

The dataset for this investigation consists of microtremor array data collected at 11 sites in the Seattle basin, Washington State. Ten of the arrays consisted of seven Nanometrics Trillium Compact broadband sensors deployed in asymmetric nested triangles (sites ST01, BA02, SP04, LF05, UW06, SN07, RD08, EL09, CH10, and KG11) that recorded for up to six hours. The eleventh array, at site NW03, was

Digital Datasets Documenting Fault Rupture and Ground Deformation Features Produced by the Mw 6.0 South Napa Earthquake of August 24, 2014

This product is a collection of digital data that document fault rupture and ground deformation produced by the August 24, 2014 South Napa Earthquake. These datasets are described and more fully discussed in Ponti, D.J, Rosa, C.M, and Blair, J.L., 2019, The Mw 6.0 South Napa Earthquake of August 24, 2014 - Observations of surface faulting and ground deformation, with recommendations for improving

Data Release for Additional Period and Site Class Maps for the 2014 National Seismic Hazard Model for the Conterminous United States

The 2014 update of the U.S. Geological Survey (USGS) National Seismic Hazard Model (NSHM) for the conterminous United States (2014 NSHM; Petersen and others, 2014; https://pubs.usgs.gov/of/2008/1128/) included probabilistic ground motion maps for 2 percent and 10 percent probabilities of exceedance in 50 years, derived from seismic hazard curves for peak ground acceleration (PGA) and 0.2 and 1.0 s

Data for Rupture Model of the 2016 M5.8 Pawnee, Oklahoma Earthquake

The 2016 M5.8 Pawnee, Oklahoma earthquake is the largest earthquake to have been induced by wastewater disposal. We infer the coseismic slip history from analysis of apparent source time functions and inversion of regional and teleseismic P-waveforms, using aftershocks as empirical Green's functions. The earthquake nucleated on the shallow part of the fault, initially rupturing towards the surface

Thickness of unconsolidated sediments for the USGS National Crustal Model

We present a numeric grid containing estimates of the thickness of unconsolidated sediments for the western United States. Values for these grids were combined and integrated from previous studies or derived directly from gravity analyses. The grids are provided with 1-km grid-node spacing in WGS84 latitude-longitude coordinates. Detailed information regarding the derivation of these estimates is

Depth to Mesozoic basement for the USGS National Crustal Model

We present a numeric grid containing estimates of the depth to the pre-Cenozoic basement for the western United States. Values for these grids were combined and integrated from previous studies or derived directly from gravity analyses. The grids are provided with 1-km grid-node spacing in WGS84 latitude-longitude coordinates. Detailed information regarding the derivation of these estimates is pro