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Data

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Supporting Data for "Subduction intraslab-interface fault interactions in the 2022 Mw 6.4 Ferndale, California, earthquake sequence"

This data release pertains to the December 20, 2022, Mw 6.4 Ferndale, California, earthquake and complements the following publication: Shelly, D. R., D. E. Goldberg, K. Z. Materna, R. J. Skoumal, J. L. Hardebeck., C. E. Yoon, W. L. Yeck, and P. S. Earle (2024). Subduction intraslab-interface fault interactions in the 2022 Mw 6.4 Ferndale, California, earthquake sequence, Science Advances, https:/

Atlantic and Gulf Coastal Plains Sediment Thickness (v220517)

This dataset of the elevation of basement and thickness of sediment above the syn- and post-rift unconformity (sediments above being generally Late Cretaceous and younger) was constructed for application to site response models in earthquake hazard analyses. Sediment thickness in meters is provided in zipped csv format on a 0.01-degree grid, and sediment thickness and basement elevation in meters

UAV imagery and digital elevation data for the debris slide in Chaos Canyon, 28 June 2022, Rocky Mountain National Park, Colorado.

This dataset contains a point cloud (HalletPeak_PointCloud.las), digital elevation model (HalletPeak_DEM.tif), and orthoimagery (HalletPeak_Ortho.tif) of a debris slide originating on the southeast flank of Hallett Peak and sliding into Upper Chaos Canyon in Rocky Mountain National Park, Colorado, USA. The slide occurred on 28 June 2022, and imagery was obtained on 15 July 2022. These products wer

Earthquake geology inputs for the U.S. National Seismic Hazard Model (NSHM) 2023 (western U.S.) (ver. 3.0, December 2023)

This Data Release contains version 3.0 of two related earthquake geology databases for use in the 2023 U.S. National Seismic Hazard Model. The databases are: 1) A fault sections database (“NSHM23_FSD_v3”), which depicts the geometry of faults capable of hosting independent earthquakes, and 2) an earthquake geology site information database (“NSHM23_EQGeoDB_v3”), which contains fault slip rate cons

Hypothetical landslide failure extents for hazard assessment, Barry Arm, western Prince William Sound, Alaska

This data release contains extent shapefiles for 16 hypothetical slope failure scenarios for a landslide complex at Barry Arm, western Prince William Sound, Alaska. The landslide is likely active due to debuttressing from the retreat of Barry Glacier (Dai and others, 2020) and sits above Barry Arm, posing a tsunami risk in the event of slope failure (Barnhart and others, 2021). Since discovery of

Merged topography and bathymetry, western Prince William Sound

This work integrated multiple topographic and bathymetric data sources to generate a merged topobathymetric map of western Prince William Sound. We converted all data sources to NAD 83 UTM Zone 6 N and mean higher high water (MHHW) before compiling.   In Barry Arm, north of Port Wells, we used a digital terrain model (DTM) derived from subaerial light detection and ranging (lidar) data collected o

Field observations of landslides and related materials following Hurricane Maria, Puerto Rico

During September 2017, Hurricane Maria caused widespread landsliding throughout mountainous regions of Puerto Rico, with more than 71,000 landslides being subsequently identified from aerial imagery (Hughes et al., 2019). Most landslides apparently mobilized as debris flows and occurred within soil (unconsolidated material overlying saprolite and bedrock) and saprolite overlying less-weathered roc

Map data from landslides triggered by Hurricane Maria in select areas of San Lorenzo, Puerto Rico

Hurricane Maria brought intense rainfall and 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 two areas in San Lorenzo, which is a municipality in the east-central part of the main island. To study a characterist

Map data from landslides triggered by Hurricane Maria in two study areas in the Las Marías Municipality, Puerto Rico

In late September 2017, intense precipitation associated with Hurricane Maria caused extensive landsliding across Puerto Rico. Much of the Las Marías 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

Model input and output data covering Lares Municipio, Utuado Municipio, and Naranjito Municipio, Puerto Rico, for landslide initiation susceptibility assessment after Hurricane Maria

Hurricane Maria induced about 70,000 landslides throughout Puerto Rico, USA (Hughes and others, 2019). Data in this project pertain to two areas situated in Puerto Rico’s rugged Cordillera Central range. Combined, these areas account for more than half of the hurricane-induced landslides. One of these areas encloses two neighboring municipalities, Lares Municipio, and Utuado Municipio, and the sec

Inventory of Large Slope Instabilities, Prince William Sound, Alaska

Steep glacial and paraglacial landscapes often exhibit evidence of gravitationally-driven slope deformation. In recently deglaciated coastal environments, catastrophic failures of these bedrock instabilities as rapid landslides have the potential to generate tsunamis that may pose hazards for communities, infrastructure, mariners, and important natural and cultural resources. We present a first in

Airborne Lidar Data (2016 and 2021) Capturing Debris Flow Erosion and Deposition after the Grizzly Creek Fire in Glenwood Canyon, Colorado

This dataset contains lidar digital elevation models (DEMs). The lidar data were collected before (2016) and after (2021) the Grizzly Creek Fire, which occurred in 2020. The 2016 lidar was collected during a series of flights between 10 June and 7 October 2016. The 2021 lidar flight was conducted in full on 24 August 2021. The files are named with the following convention: Vendor_Year_Resolution_m