Data

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

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

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

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

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

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

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

Summary This data release is an inventory of runoff-generated postfire debris flows compiled from 17 burn areas across five western U.S. states. Debris-flow data from the following fires are included: Arizona: 2017 Pinal and 2019 Woodbury Fires California: 2020 Apple, 2020 Bond, 2015 Butte, 2020 El Dorado, 2014 El Portal, 2018 Ferguson, 2016 Fish (San Gabriel Complex), 2011 Motor, and 2017 Thomas

This dataset contains three comma separated value files that represent a combination of previously published structure observations and select model results at the location of each structure centroid from a separate previously published simulation study. -"buildings.csv" represents the merging of structure damage observations published in Kean et al. (2019) and structure locations from Open Stree

In coastal subarctic environments such as the fjords of Southeast Alaska, tidewater glaciers can control local hydrology, climatic patterns, ecology, and geologic hazards like landslides and consequent tsunami waves. Documenting and studying glacial retreat in fjords can help scientists understand the dynamic systems that are intrinsically tied to glacial ice processes and forecast changes in thes

This data release pertains to the February 2023 Kahramanmaraş, Türkiye earthquake sequence and complements the following publication: Goldberg, D.E. et al. (2023) Rapid Characterization of the February 2023 Kahramanmaraş, Türkiye, Earthquake Sequence, The Seismic Record. (xx), 1, doi: 10.1785/0320230009. Child Items "2023-02-06 Mw7.8 Pazarcık Earthquake Finite Fault Data and Model" and "2023-02-

An ASD FieldSpec 4 Hi-Res NG Spectroradiometer was used to collect the reflectance properties of soil and rock in southcentral Alaska, USA (Figure 1) around the city of Anchorage (Figure 2) and the Prince William Sound (Figure 3). Reflectance is a property of the material being observed, being the ratio of the amount of light leaving a target to the amount of light striking the target. Reflectance