Data

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 develop a quanti

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 of landslid

This dataset contains 286 landslide polygons mapped after a rainstorm on 16-17 January 2019. The majority of the landslides are located in the burn areas of the 2016 San Gabriel Complex fire, the 2014 Colby fire, and the 2009 Morris fire. A smaller number of additional landslides were located in nearby unburned areas. More information about the burn perimeters associated with this inventory and t

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

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 have triggere

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 movement

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 precise loc

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 when the ga

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 eventually fa

Mass-wasting events that displace water, whether they initiate from underwater sources (submarine landslides) or subaerial sources (subaerial-to-submarine landslides), have the potential to cause tsunami waves that can pose a significant threat to human life and infrastructure in coastal areas (for example towns, cruise ships, bridges, oil platforms, and communication lines). Sheltered inlets and

We monitored displacement of the Slumgullion landslide located in Hinsdale County, Colorado. We measured displacement at the ground surface between 12 August 2011 and 10 October 2018, and in the subsurface between 4 September 2016 and 7 December 2016. Both types of data were acquired at irregular time intervals. Displacement at the ground surface was measured at locations within the upper, middle,

This data release includes 2014 time-series data from three debris-flow monitoring stations at Chalk Cliffs in Chaffee County, Colorado, USA. The data were collected to help identify the triggering conditions, magnitude, and mobility of debris flows at the site. The three stations are located sequentially along a channel draining the 0.3 km^2 study area. The Upper, Middle, and Lower stations have