Data

This data release supports the analysis of the recurrence interval of post-fire debris-flow generating rainfall in the southwestern United States. We define the recurrence interval of the peak 15-, 30-, and 60-minute rainfall intensities for 316 observations of post-fire debris-flow occurrence in 18 burn areas, 5 U.S. states, and 7 climate types. These data support the analysis described...

This data release includes time-series, qualitative descriptions, and laboratory testing data from two monitoring stations installed in Puerto Rico following Hurricane Maria in 2017, which led to tens of thousands of landslides across the island (Bessette-Kirton et al., 2017). The stations were installed in July of 2018 to investigate subsurface hydrologic response to rainfall and...

Heavy rainfall during mid-November 1996 induced debris flows throughout the southern Oregon Coast Range, including more than 150 in the immediate vicinity of north Charlotte Creek (Coe and others, 2011). Data in this project pertain to a 2.4-km2 area centered at N 43.65° and W 123.94° which an area where high concentrations of debris flows occurred. These data include a subset of a map...

A fundamental question in seismic hazard analysis is whether

A key input for probabilistic seismic hazard analysis (PSHA) is geologic slip rate data. Yet, no single database exists to house all geologic slip rate data used in these calculations. 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...

This release provides the data and interpretations supporting evidence of late Quaternary faulting along Crowleys Ridge in the New Madrid seismic zone. The release includes location information for seismic reflection and airborne electromagnetic (AEM) data over Crowleys Ridge, a table of topographic metrics derived from analysis of the 10m National Elevation Dataset (NED) digital...

This dataset consists of over 800 field observations of ground failure (landslides, lateral spreading, and liquefaction) and other damage triggered by the 2019-2020 Puerto Rico earthquake sequence. The sequence started with a M4.7 earthquake on 28 December 2019, followed by many more earthquakes, including 15 larger than M5 (as of 7 July 2020). The M6.4 mainshock, which is thought to...

Interactive web application displaying the the field observations resulting from the 2020 Puerto Rico earthquake sequence

Data in this document record the ground-surface positions from 1996 to 2018 of monuments located on different kinematic elements of the Cleveland Corral landslide, or on nearby more stable ground. Data were collected about once a year in campaign mode, at times when the landslide was dormant and not moving (typically late spring or fall). Survey timing was selected to identify wet-season...

A time-lapse camera was used to document periodic reactivation of a complex landslide on a steep coastal bluff in Mukilteo, Washington. This landslide is one of four monitoring sites initiated by the U.S Geological Survey to investigate hill-slope hydrology and landslide hazards affecting the railway corridor along the eastern shore of Puget Sound between the cities of Seattle and...

Currently, there are many datasets describing landslides caused by individual earthquakes, and global inventories of earthquake-induced landslides (EQIL). However, until recently, there were no datasets that provide a comprehensive description of the impacts of earthquake-induced landslide events. In this data release, we present an up-to-date, comprehensive global database containing...

This product is a collection of digital data that document fault rupture and ground-deformation features produced by the Ridgecrest M6.4 and M7.1 earthquake sequence of July 4 and 5, 2019. These datasets are described and more fully discussed in Ponti and others (2020) (see External Resources Section below for the full reference). Included in this collection are: GIS Shapefile and KMZ...