Data

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

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 km^2 study area. This data release includes videos of debris-flows and floods captured by high-definition cameras placed at four different locat

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

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

Hurricane Maria caused widespread landsliding throughout Puerto Rico during September 2017. Previous detailed landslide inventories following the hurricane include Bessette-Kirton et al. (2017, 2019). Here we continue that work with an in-depth look at a portion of northwest Naranjito, which is a municipality in the northeastern part of the main island. To study a characteristic sample of landslid

In late September 2017, intense precipitation associated with Hurricane Maria caused extensive landsliding across Puerto Rico. Much of the Lares municipality in central-western Puerto Rico was severely impacted by landslides. Landslide density in this region was mapped as greater than 25 landslides/km2 (Bessette-Kirton et al., 2019). In order to better understand the controlling variables of lands

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

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