Data Releases
The data collected and the techniques used by USGS scientists should conform to or reference national and international standards and protocols if they exist and when they are relevant and appropriate. For datasets of a given type, and if national or international metadata standards exist, the data are indexed with metadata that facilitates access and integration.
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Lidar-derived closed depression vector data and density raster in karst areas of Monroe County, West Virginia
Monroe County in southeastern West Virginia hosts world-class karst within carbonate units of Mississippian and Ordovician age. Lidar-derived elevation data acquired in late December of 2016 were used to create a 3-meter resolution working digital elevation model (DEM), from which surface depressions were identified using a semi-automated workflow in ArcGIS. Depressions in the automated inventory
Modified topobathymetric elevation data for Lake Powell
This dataset provides a modified version of the previously published Lake Powell topobathymetric digital elevation model (TBDEM; Poppenga and others, 2020). The original TBDEM is comprised of four source datasets: (1) a 2017 1-meter multibeam bathymetric survey; (2) a 2018 topographic light detection and ranging (lidar) derived digital elevation model (DEM); (3) a historical topographic DEM that w
Data release for Surficial Geology of the Northern San Luis Valley, Saguache, Fremont, Custer, Alamosa, Rio Grande, Conejos, and Costilla Counties, Colorado
The San Luis Valley and associated underlying basin of south-central Colorado and north-central New Mexico is the largest structural and hydrologic basin of the Rio Grande Rift and fluvial system. The surrounding San Juan and Sangre de Cristo Mountains reveal evidence of widespread volcanism and transtensional tectonism beginning in the Oligocene and continuing to the present, as seen in fault dis
Bedload Intake Efficiency: Comparison of measurements obtained using # bedload samplers in a flume
Bedload and ancillary data herein were used to calculate and compare the bedload-trapping efficiencies of four types of pressure-difference bedload samplers as part of episodic, sediment-recirculating flume tests. The U.S. Geological Survey, in concert with the Federal Interagency Sedimentation Project (FISP), conducted the tests from January through March 2006 at the St. Anthony Falls Laboratory,
Modeling accumulated surface runoff and water availability for aquifer storage and recovery in the MENA region from 1984-2015
The Middle East and North Africa (MENA) region is the most water-scarce region with only two percent of the global average annual rainfall, hence underground aquifers are the major source of water. The need to improve water productivity and increase aquifer storage and recovery (ASR) is driving the efforts for this acceleration of aquifer storage and recovery project. The objective was to model ru
Cladophora biomass and supporting data collected in the Great Lakes, 2020 (ver. 2, May 2023)
This dataset records Cladophora and associated submerged aquatic vegetation (SAV) biomass collected during the growing season of 2020 at stations located along the U.S. shoreline of Lakes Michigan, Huron, and Erie. It also records a variety of supporting data collected at Cladophora measurement stations. These supporting data include: - measurements of Secchi disk depth and water chemistry; - wate
Topobathymetric Model of the Strait of Juan de Fuca, 1891 to 2016
To support the modeling of storm-induced flooding, the U.S. Geological Survey (USGS) Coastal National Elevation Database (CoNED) Applications Project has created an integrated 1-meter topobathymetric digital elevation model (TBDEM) for the Strait of Juan de Fuca, which is located at the outlet of the Salish Sea. The international boundary between Canada and the northwestern part of the United Stat
Provisional peak-streamflow information during March 8-17 at selected USGS gaging stations on the islands of Kauai, Oahu, Molokai, and Maui in the State of Hawaii
These data are preliminary or provisional and are subject to revision. They are being provided to meet the need for timely best science. The data have not received final approval by the U.S. Geological Survey (USGS) and are provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the data.
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High-resolution (1 m) digital elevation model (DEM) of San Francisco Bay, California, created using bathymetry data collected between 1999 and 2020 (ver. 2.0, July 2021)
A 1-m resolution bathymetric digital elevation model (DEM) of all off San Francisco Bay was constructed from bathymetric surveys collected from 1999 to 2016. The DEM has been divided into northern and southern sections due to file size, and is available in both MLLW and NAVD88 versions.
Background: In 2014 and 2015 the California Ocean Protection Council (OPC) contracted the collection of bathy
Hydrologic, slope movement, and soil property data from the coastal bluffs of the Atlantic Highlands, New Jersey, 2016-2018
Seasonal variations in vegetation, rainfall, and soil moisture conditions have the potential to impact the slope stability of locally forested coastal bluffs in the Atlantic Highlands of New Jersey. Both the seasonality and rainfall amounts of the two types of storms that induce shallow landslides in the area vary considerably. Most of the documented historical landslides are the result of heavy r
Monitoring data from the Aleppo rockslide, Allegheny County, Pennsylvania, November 2013 - December 2018
Upon reactivation, movement of deep-seated landslides in the Greater Pittsburgh region may persist for long periods of time. Monitoring equipment was located at two sites on a deep-seated rockslide in Aleppo Township, Pennsylvania to establish relationships between precipitation and changes in the state of activity and velocity. Precipitation, snow depth, and air temperature are monitored at a wea
Sedimentologic Data from Point aux Chenes Marsh and Estuary, Mississippi
Sediment samples, including marsh and estuarine surface samples and marsh push and peat-auger cores, were collected from Point aux Chenes, Mississippi from October 23-26, 2018, and August 4, 2021. Marsh surface samples (top 1 centimeter (cm) of sediment; sample names appended with S), marsh push cores (core names appended with M) and peat-auger cores (core names appended with R) were collected alo