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

Filter Total Items: 148

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" (, 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.

Summary of proposed changes to geologic inputs for the U.S. National Seismic Hazard Model (NSHM) 2023, version 1.0

This data release documents proposed updates to geologic inputs (faults) for the upcoming 2023 National Seismic Hazard Model (NSHM). This version (1.0) conveys differences between 2014 NSHM fault sources and those recently released in the earthquake geology inputs for the U.S. National Seismic Hazard Model (NSHM) 2023, version 1.0 data release by Hatem et al. (2021). A notable difference between t

Displacement and strain field from the 2019 Ridgecrest earthquakes derived from analysis of WorldView optical satellite imagery (ver. 2.0, May 2021)

This Data Release contains co-seismic horizontal and vertical displacements of the 2019 Ridgecrest earthquakes derived from sub-pixel cross correlation of WorldView satellite optical imagery. Additionally, the dataset contains the 2-dimensionsal (2D) and 3-dimensional (3D) surface strain fields, inverted from the surface displacements. Associated publication: Barnhart, W.D., Gold, R.D., Hollingsw

Data Release for the 2018 Update of the U.S. National Seismic Hazard Model: Where, Why, and How Much Probabilistic Ground Motion Maps Changed

This dataset presents where, why, and how much probabilistic ground motions have changed with the 2018 update of the National Seismic Hazard Model (NSHM) for the conterminous U.S. (CONUS) vs. the 2014 NSHM. In the central and eastern U.S., hazard changes are the result of updated ground motion models (further broken down by median and epistemic uncertainty, aleatory variability, and site effects m

Ground motion Fourier and response spectra from Utah earthquakes, 2010--2020

Records from strong motion stations were downloaded from FDSN and CESMD data centers with a search radius of approximately 220 km from Salt Lake City. Waveforms were processed to deconvolve instrument response and for baseline corrections. Signal was separated from noise using an automated P-wave picker. The signal was then windowed to include the mean plus two standard deviations of the signal. A

Whole-rock chemistry of Hole G core samples from the San Andreas Fault Observatory at Depth (SAFOD), California

We present whole-rock geochemical analyses of 27 Phase 3 core samples obtained from Hole G of the San Andreas Fault Observatory at Depth, which crosses the creeping section of the San Andreas Fault ~14 km NW of Parkfield, California. These new data will essentially double the published whole-rock chemical dataset for the SAFOD Hole G core. Two, meters-wide zones of foliated gouge where fault creep

Weekly cloud free Harmonized Landsat Sentinel-2 (HLS) Normalized Difference Vegetation Index (NDVI) data for western United States (2016 – 2019).

In support of mapping ecological conditions (e.g. invasive annual grass) in sagebrush-dominated landscapes of the western United States, we developed weekly (starting from week 7 to week 42 and Week 1 starts January 1 or Day of the year 1 to 7, week 2 is from Day of year 8 to 14, and so on) 30-m cloud-free Normalized Difference Vegetation Index (NDVI) from 2016 to 2019. The data was generated with

Data release for: An assessment of uncertainties attributed by analysts, array types and processing algorithms for microtremor observations, using the phased 2018 COSMOS Blind Trials

The Consortium of Organizations for Strong Motion Observation Systems (COSMOS) supported blind trials using passive microtremor array data for shear-wave velocity site characterization. The trials included data from four sites in order to consider limitations imposed by differing geologies, differing sparse array geometries, and differing interpretation methodologies. The trials used a four-phase

Coseismic surface displacement and fault zone width measurements in the 2019 Ridgecrest earthquakes from WorldView optical image correlation

(1) Lateral displacement measurements made based on optical image correlation results from WorldView satellite images along with (2) local and regional rupture width measurements for the 2019 Mw6.4 and Mw7.1 Ridgecrest earthquakes, CA. These datasets are associated with the publication: Gold, R. D., DuRoss, C. B., & Barnhart, W. D., 2021, Coseismic surface displacement in the 2019 Ridgec