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Data

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

Filter Total Items: 171

High-resolution seismic data acquired at six Southern California Seismic Network (SCSN) recording stations in 2017

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 in southern California: CI.OLI Olinda; CI.SRN Serrano; CI.MUR Murrieta; CI.LCG La Cienega; CI.RUS Rush; and CI.STC Santa Clara (Figure 1). These strong-motion recording stations are located inside Southern California Edison electrical

High-resolution seismic data acquired at six seismic network recording stations in San Bernardino County, California in 2019

In May 2019, the U.S. Geological Survey acquired high resolution P- and S-wave seismic data near six seismic network recording stations in San Bernardino County, California: Southern California Seismic Network CI.CLT Calelectic, CI.MLS Mira Loma, CI.CJM Cajon Mountain and CI.HLN Highland; California Strong Motion Instrumentation Program station CE.23542; and US National Strong-Motion Network stati

Data Release for a 2020 High-Resolution Seismic Survey across Northeastern Edwards Air Force Base, Kern County, California

In June of 2020, the U.S. Geological Survey conducted a high-resolution seismic survey at Edwards Air Force Base in Kern County, California. Seismic data were acquired using a DTCC SmartSolo 3-component nodal seismometer system ("node"), which continuously recorded at 2000 samples per second. Nodes were deployed 5 meters apart along a southwest-northeast trend to create an approximately 3-km-long

Data Release for Additional Period and Site Class Data for the 2018 National Seismic Hazard Model for the Conterminous United States (ver. 1.1, February 2020)

The updated 2018 National Seismic Hazard Model includes new ground motion models, aleatory uncertainty, and soil amplification factors for the central and eastern U.S. and incorporates basin depths from local seismic velocity models in four western U.S. (WUS) urban areas. These additions allow us, for the first time, to calculate probabilistic seismic hazard curves for an expanded set of spectral

Database for the Central United States Velocity Model, v1.3

We have developed a new three-dimensional seismic velocity model of the central United States (CUSVM) that includes the New Madrid Seismic Zone (NMSZ) and covers parts of Arkansas, Mississippi, Alabama, Illinois, Missouri, Kentucky, and Tennessee. The model represents a compilation of decades of crustal research consisting of seismic, aeromagnetic, and gravity profiles; geologic mapping; geophysic

Data from Theodolite Measurements of Creep Rates on San Francisco Bay Region Faults, California (ver. 2.1, October 2022)

The data comprise an archive of repeated surveyed measurements to monitor surface fault creep (a form of gradual tectonic movement) occurring along active faults in the San Francisco Bay region for use by the scientific research community. Additional description of these data and the methods used to collect them is provided at: https://pubs.usgs.gov/of/2009/1119/. The primary data are angle measur

Data for "Serpentinite-rich Gouge in a Creeping Segment of the Bartlett Springs Fault, Northern California: Comparison with SAFOD and Implications for Seismic Hazard"

This report presents the mineral chemistry dataset that was used in a published study of serpentinite-rich gouge from an actively creeping trace of the Bartlett Springs Fault in northern California. The fault gouge consists of porphyroclasts of antigorite serpentinite, talc, chlorite, and tremolite-actinolite in a sheared matrix of the same materials. The compositions of spinels in the serpentinit

Waveform Data and Metadata used to National Earthquake Information Center Deep-Learning Models

These data were used to train the Machine Learning models supporting the USGS software release "NEIC Machine Learning Applications Software" (https://doi.org/10.5066/P9ICQPUR), and its companion publication in Seismological Research Letters "Leveraging Deep Learning in Global 24/7 Real-Time Earthquake Monitoring at the National Earthquake Information Center" (ht

Voice and data telecommunications restoration curves for 15 counties affected by the April 18, 2018, M7.0 HayWired earthquake scenario mainshock

These data are a series of telecommunications voice and data restoration percentages for 17 counties affected by 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 for telecommunications demand served are derived from residual network capacity based on potential hazard information (

Data Release for the 2016 East Bay Seismic Imaging Investigation of the Hayward Fault Zone

In October 2016, we acquired an approximately 15-km-long seismic profile along a linear transect across the East Bay region of the San Francisco Bay area. Our goal was to image previously unknown strands of the Hayward Fault zone and to better delineate the structure and geometry of the main trace of the Hayward Fault. Our profile started near the southern border of San Leandro, California at the

Field reconnaissance of ground failure triggered by shaking during the 2018 M7.1 Anchorage, Alaska, earthquake

These data present geolocated photographs, GPS tracks, and field-mapped ground failures collected during the USGS reconnaissance of ground failures following the 2018 M7.1 Anchorage Earthquake.

Initial Observations of Landslides triggered by the 2018 Anchorage, Alaska earthquake

This data release provides the locations of 43 landslides that occurred during the 2018 Anchorage, Alaska earthquake mapped from high-resolution lidar (1-m). Lidar data can be accessed via the Alaska Division of Geological and Geophysical Surveys elevation portal (https://elevation.alaska.gov). Each landslide is represented as a point corresponding to the approximate location of the mid-point of t