Data

Peak ground velocity (PGV) gridded probabilistic seismic hazard data for the updated 2018 National Seismic Hazard Model (NSHM) for the Conterminous United States (CONUS). PGV hazard curves and ground motions have been calculated on a 0.05 by 0.05 degree grid using the NSHM CONUS 2018 earthquake source model. PGV support has been incorporated into the NSHM using a newly developed PGV model conditio

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

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

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

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

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" (https://doi.org/XXXXX). These data are

This data set provides a polygon shapefile delineating relatively large, slow-moving (4-17 cm/year in the radar line-of-sight direction) landslides in the continental U.S. western coastal states (California, Oregon, and Washington). The polygons also are provided in a Google Earth .kmz file. Delineated landslides were identified from displacement signals captured by InSAR (Interferometric Syntheti

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

This data release contains data summarizing observations within and adjacent to the Woodbury Fire, which burned from 8 June to 15 July 2019. In particular, this monitoring data was focused on debris flows in burned and unburned areas. Rainfall data (1_Woodbury_Rainfall.zip) are contained in comma-separated value (CSV) files named ?Wdby_Rainfall? appended with the names of 3 rain gages: B2, B6,

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.

This data release contains model output from simulations presented in the associated Open-File Report (Barnhart and others, 2021). In this report, we present model results from four simulations (scenarios C-290, NC-290, C-689, NC-689, Table 1) of hypothetical rapid movement of landslides into adjacent fjord water at Barry Arm, Alaska using the D-Claw model (George and Iverson, 2014; Iverson and Ge

Chalk Cliffs located 8 miles southwest of Buena Vista, Colorado, is one of the most active debris-flow areas in the state (U.S. Geological Survey). Three stations were set up at Chalk Cliffs which are located sequentially along a channel draining the 0.3 km2 study area. These stations are equipped with rain gauges, laser distance meters, and data loggers to record rainfall and stage data (Kean, et