Data

Note: this data release has been superseded by version 2.0, available here: https://doi.org/10.5066/P9AB0TA7. 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...

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...

Note: this data release has been superseded by version 2.0, available here: https://doi.org/10.5066/P9RG3MBE. 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...

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...

Surface rupture associated with the 2019 Ridgecrest, California earthquake sequence includes the dominantly left-lateral and northeast-striking M6.4 rupture and dominantly right-lateral and northwest-striking M7.1 rupture. This data release includes surface-displacement observations of these ruptures made by teams of federal, state, academic, and private sector geologists between July...

Here we present an inventory of remotely and field-observed landslides triggered by 2019-2020 Puerto Rico earthquake sequence. The inventory was mapped using pre- and post-event satellite imagery (PR_landslide_inventory_imagery.csv), an extensive collection of field observations (https://doi.org/10.5066/P96QNFMB) and using pre-earthquake lidar as guidance for mapping polygons with more...

Lidar data were collected on 17 May 2017 at the USGS debris-flow flume (44.215, -122.254) to monitor the movement of a constructed landslide experiment. A static prism of sediment was emplaced behind a retaining wall at the top of the flume. Water was added via sprinklers to the surface and also via pipes to the subsurface, in order to saturate the sediment mass. The sediment mass...

Lidar data was collected on 24 and 25 May 2017 at the USGS debris-flow flume to monitor two gate-release debris flow experiments. A static prism of sediment was emplaced behind a gate at the top of the flume. Water was added via sprinklers to the surface and also via pipes to the subsurface, in order to saturate the sediment mass. The sediment mass moved down the flume as a debris flow...