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Debris-flow and Flood Video Files, Chalk Cliffs, Colorado, USA, 2019

Chalk Cliffs, located 8 miles southwest of Buena Vista, Colorado, is a natural laboratory for research on runoff-initiated debris flows (Coe et al., 2010). In 2019, there were two monitoring stations operating at Chalk Cliffs. The Upper Station drains an area of 0.06 km2 and was used to monitor flow properties and triggering conditions in the headwaters of the study area. It was equipped with two

Gridded earthquake ground motions for the 2023 AASHTO Design Specifications

For designing bridges to safely resist earthquakes, the 2023 editions of the AASHTO (1) Guide Specifications for LRFD Seismic Bridge Design, (2) LRFD Bridge Design Specifications, and (3) Guide Specifications for Seismic Isolation Design provide risk-targeted design ground motions via this data release and the corresponding USGS Seismic Design Web Services (listed below). The web services spatiall

Earthquake triggered ground failure associated with the M7.1 2018 southcentral Alaska Earthquake (ver. 2.0, December 2023)

The November 30, 2018, magnitude (Mw) 7.1 Anchorage, Alaska earthquake triggered substantial ground failure throughout Anchorage and surrounding areas (Grant et al., 2020; Jibson et al., 2020). The earthquake was an intraslab event with a focal depth of about 47 km and an epicenter about 16 km north of the city of Anchorage. Peak ground accelerations reached ∼30% g. Despite the relatively low seve

Plotting multiple fault representations: Applications for National Seismic Hazard Model 2023 update (NSHM-faultmaps)

The National Seismic Hazard Model (NSHM) utilizes a fault sections database (FSD) throughout the model workflow. Working towards a 2023 NSHM release, the NSHM23 FSD encompasses a major update with the addition of new fault sections, as well as the revision of existing fault sections from prior FSD (2014). The additions and revisions were largely based on the U.S. Geological Survey's Quaternary Fau

Map data from landslides triggered by Hurricane Maria in the greater karst region of northwest Puerto Rico

Hurricane Maria caused widespread landsliding throughout Puerto Rico in September 2017. While the majority of landslide inventories following the hurricane focused on mountainous regions underlain by igneous and volcaniclastic bedrock (Bessette-Kirton et al., 2017, 2019), here we fill an important knowledge gap and document the occurrence of landslides along the greater karst region on the northwe

Seismogenic Landslides and other Mass Movements (ver. 2.0, December 2023)

This data release is a compilation of known mass movements that generated seismic signals recorded by seismic networks. It represents a major update of a previous data release (Allstadt and others, 2017) available at https://doi.org/10.5066/F7251H3W. This update includes all events published in the previous data release along with more instances of landslides, debris flows, snow avalanches, outbur

Landslide Inventories across the United States version 2

Landslides are damaging and deadly, and they occur in every U.S. state. However, our current ability to understand landslide hazards at the national scale is limited, in part because spatial data on landslide occurrence across the U.S. varies greatly in quality, accessibility, and extent. Landslide inventories are typically collected and maintained by different agencies and institutions, usually w

Distribution of large boulders on the deposit of the West Salt Creek rock avalanche, western Colorado

On May 25th, 2014, a 54.5 Mm3 rock avalanche occurred in the West Salt Creek valley in western Colorado following heavy rainfall on top of snow (Coe and others, 2016a). The data in this project includes boulder density in 20-m x 20-m grid cells for the entire West Salt Creek rock avalanche deposit. The grid cells cover 2,154,800 m2, which accounts for nearly the entire surface of the deposit. We e

High-rate GNSS Observations and Finite Fault Models of Moderate to Large Earthquakes

This database complements the following publication: Goldberg, D. E., D. Melgar, G. P. Hayes, B. W. Crowell, and V. J. Sahakian (2021). A Ground-Motion Model for GNSS Peak Ground Displacement, Bulletin of the Seismological Society of America XX, 1-15, doi: 10.1785/0120210042. High-rate Global Navigations Satellite Systems (GNSS) data is recognized as a valuable complement to traditional inertial

Regional Finite-Fault Models of the 2019 Mw7.1 Ridgecrest, California, Earthquake

This dataset complements the following publication: Goldberg, D.E. & Haynie, K.L (2021) Ready for real-time: Performance of Global Navigation Satellite Systems in 2019 Mw7.1 Ridgecrest, California, rapid response products, Seismological Research Letters, doi: 10.1785/0220210278. The availability of low-latency, high-rate Global Navigation Satellite Systems (GNSS) waveforms makes it possible to com

North American electricity power-grid and communication-network anomalies for several magnetic storms

Anomaly lists are presented documenting operational interference to electricity power grids and communication networks in the United States and Canada during magnetic storms. Four of the anomaly lists apply for magnetic storms that occurred in March 1989, August 1972, March 1940, and for various storms 1946-2000; yet another list consists of statistical values summarizing geomagnetically induced c

Compilation of geologic slip rate constraints used in 1996-2014 U.S. National Seismic Hazard Models (ver. 2.0, February 2022)

A key input for probabilistic seismic hazard analysis (PSHA) is geologic slip rate data. Here, we compile all geologic slip rates that are reportedly used in U.S. National Seismic Hazard Map (NSHM) releases from 1996, 2002, 2007, 2008, and 2014. Although a new NSHM was released in 2018, no changes were made in geologic slip rate data used. The geologic slip rates are collated from existing NSHM re
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