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State
CGS Seismic Hazards Program: Landslide Zones
State of California —
This is a digital Seismic Hazard Zone Map presenting areas where liquefaction and landslides may occur during a strong earthquake. Three types of geological hazards,... -
Federal
Components of the USGS National Crustal Model (ver. 2.0, September 2025)
Department of the Interior —
Seismic hazard assessments depend on an accurate prediction of ground motion, which in turn depends on a base knowledge of three-dimensional variations in density,... -
Federal
Liquefaction observations from ten earthquakes in the US, Japan, China, and Taiwan
Department of the Interior —
These data include observations of liquefaction from ten earthquakes. The data are provided as a feature collection in a GeoJSON file format. Individual features are... -
State
CGS Seismic Hazards Program: Unevaluated Areas
State of California —
This is a digital Seismic Hazard Zone Map presenting areas where liquefaction and landslides may occur during a strong earthquake. Three types of geological hazards,... -
Federal
2017b high resolution seismic imaging of the West Napa Fault Zone, St. Helena, California
Department of the Interior —
In September 2017, the U.S. Geological Survey acquired high resolution P- and S-wave seismic data across the suspected trace of the West Napa Fault zone in St.... -
Federal
High-resolution seismic imaging of the West Napa Fault Zone at Buhman Avenue, Napa, California
Department of the Interior —
In November 2016, the U.S. Geological Survey acquired high-resolution P- and S-wave seismic data across the surface trace of the West Napa Fault zone near Buhman... -
Federal
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
Department of the Interior —
This dataset contains correlation-derived seismic phase arrival times from three different studies: 1. Maple Creek Earthquake Swarm, Yellowstone, Wyoming, June 11 to... -
Federal
2017b high resolution seismic imaging of the West Napa Fault Zone, St. Helena, California
Department of the Interior —
In September 2017, the U.S. Geological Survey acquired high resolution P- and S-wave seismic data across the suspected trace of the West Napa Fault zone in St.... -
Federal
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
Department of the Interior —
This dataset contains correlation-derived seismic phase arrival times from three different studies: 1. Maple Creek Earthquake Swarm, Yellowstone, Wyoming, June 11 to... -
Federal
High-resolution seismic data acquired at six Southern California Seismic Network (SCSN) recording stations in 2017
Department of the Interior —
In August 2017, the U.S. Geological Survey acquired high-resolution P- and S-wave seismic data near six Southern California Seismic Network (SCSN) recording stations... -
Federal
2015 high resolution seismic acquisition at Dos Palmas Preserve, Mecca, California
Department of the Interior —
In March 2015, the U.S. Geological Survey acquired seismic reflection and refraction data along an approximately 2.8-km-long profile across northwest-trending San... -
Federal
San Francisco Bay region 3D seismic velocity model v21.1
Department of the Interior —
This three-dimensional (3D) seismic velocity model includes a detailed domain covering the greater San Francisco Bay urban region and a regional domain at a coarser... -
Federal
Multichannel seismic-reflection data acquired off the coast of southern California - Part A 1997, 1998, 1999, and 2000
Department of the Interior —
Multichannel seismic-reflection (MCS) data were collected in the California Continental Borderland as part of southern California Earthquake Hazards Task. Five data... -
Federal
Digital data for the geologic map of Scoggins Dam, Henry Hagg Lake, and Scoggins Valley, Washington County, Oregon
Department of the Interior —
Scoggins Dam in northwest Oregon lies within the Gales Creek fault zone (GCF), a northwest-striking system of active faults forming the boundary between the Coast... -
Federal
2015 high resolution seismic acquisition at Dos Palmas Preserve, Mecca, California
Department of the Interior —
In March 2015, the U.S. Geological Survey acquired seismic reflection and refraction data along an approximately 2.8-km-long profile across northwest-trending San... -
Federal
Three-dimensional grid of properties used to analyze induced seismicity recorded from 1991 to 2012 at Paradox Valley, Colorado
Department of the Interior —
Large numerical grid used for finite element and finite volume analysis of induced seismicity in Paradox Basin. The grid construction used the boundaries of three... -
Federal
Radiocarbon ages, age-model code, and other supplemental data for Nelson et al. (2021), A maximum rupture model for the central and southern Cascadia subduction zone—assessing ages for coastal evidence of megathrust earthquakes and tsunamis
Department of the Interior —
This data release contains supplemental data for the following paper: Nelson, A.R., DuRoss, C.B., Mahan, S.A., Gray, H.J., Engelhart, S.E., Witter, R.C., Hawkes,... -
Federal
High-resolution seismic imaging of the West Napa Fault Zone at Saintsbury Winery, Napa, California
Department of the Interior —
In November 2016, the U.S. Geological Survey acquired high-resolution P- and S-wave seismic data across the surface trace of the West Napa Fault zone at Saintsbury... -
Federal
San Francisco Bay region 3D seismic velocity model v21.1
Department of the Interior —
This three-dimensional (3D) seismic velocity model includes a detailed domain covering the greater San Francisco Bay urban region and a regional domain at a coarser... -
Federal
Summary metadata for the Seismic Induced Ground-Failure Database V4
Department of the Interior —
Earthquake-triggered ground-failure, such as landsliding and liquefaction, can contribute significantly to losses, but our current ability to accurately include them...