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Data

GECSC staff are responsible for the development of data and information products that support global environmental research, landscape change investigations, geologic studies and emergency response activities. 

Filter Total Items: 221

U.S. Geological Survey Soil Sample Archive

The U.S. Geological Survey (USGS) Soil Sample Archive is a database of information describing soil and sediment samples collected in support of USGS science. Samples in the archive have been registered with International Generic Sample Numbers, relabeled with bar-coded sample labels, and repacked in containers for long-term preservation. Details of sample collection location, collection date, asso

Data Release for Luminescence: Plio-Pleistocene Hydrology and Marine Isotope Stage (MIS) 4 Deep Springs Lake, Western Great Basin, Inyo County, California

Deep Springs Valley (DSV) is a hydrologically isolated valley between the White (north and west) and Inyo (south and east) Mountains that is commonly excluded from regional paleohydrologic and paleoclimate studies. Previous studies showed that uplift of Deep Springs ridge (informal name) by the Deep Springs fault defeated streams crossing DSV and hydrologically isolating the valley sometime after

Geochronological Data for the Deep Creek paleoseismic site, Wasatch fault zone, Utah

This data release includes geochronological data for a natural exposure of the Wasatch fault, Utah at the Deep Creek site (39.507462?, -111.861790?). Laboratory data include 11 optically stimulated luminescence (OSL) ages for quartz, 23 charcoal radiocarbon ages, and 342 portable OSL (bulk luminescence) measurements. The radiocarbon and luminescence samples were collected November 2019 and October

Data Release for Luminescence: Construction and modification of debris-flow alluvial fans as captured in the geomorphic and sedimentary record: examples from the western Sangre de Cristo Mountains, south-central Colorado

The following report summarizes the dating results from the San Luis Valley-Pioneer Fan 2017-2019 dating project. Within this report, we detail the methodology used by the USGS Luminescence Geochronology Laboratory to obtain ages including sample preparation methods, luminescence measurement, equivalent dose determination, and dating-related calculations. We recommend that this report be included

Digital database of the previously published bedrock geologic map showing thickness of overlying Quaternary deposits, Grand Island quadrangle, Nebraska and Kansas

This digital data release contains geospatial data for the 1:250,000 scale geologic map of the Grand Island 1 degree by 2 degree quadrangle, Nebraska, originally published by Dreeszen and others (1973). The database includes line and polygon features depicting the extent of the Miocene Ogallala Formation and underlying Cretaceous rocks. The original map also included shaded patches indicating outc

Digital database of the previously published geologic map of the O'Neill 1x2 degree quadrangle, Nebraska

This digital data release contains geospatial data for the geologic map of the O’Neill 1 degree by 2 degree geologic map in Nebraska, originally published in 2008 by R.E. Diffendal and others. The original map consists of a 1:250,000 scale map plate with a “stack unit” structure showing multiple overlying units, as well as several roughly 1:750,000 scale maps in an accompanying pamphlet showing be

Digital subsurface database of elevation point data and structure contour maps of multiple subsurface units, Powder River Basin, Wyoming and Montana, USA

This digital data release presents subsurface data from multiple geologic units that were part of a previous study of the regional subsurface structural configuration of the Powder River Basin in Wyoming and Montana. The original data within this geodatabase is sourced from an unpublished doctoral dissertation by Jessie Melick at Montana State University (Melick, 2013). Data contained in this rele

Surface and subsurface geologic data from previous USGS studies of the Gulf Coast region, south-central United States

This dataset captures in digital form the results of previously published U.S. Geological Survey (USGS) Water Mission Area studies related to water resource assessment of Cenozoic strata and unconsolidated deposits within the Mississippi Embayment and the Gulf Coastal Plain of the south-central United States. The data are from reports published from the late 1980s to the mid-1990s by the Gulf Coas

Digital database of previously published subsurface unit tops from a 3D Model of the Anadarko Basin Province

This digital data release contains gridded elevation surfaces for twenty-six (26) subsurface horizons, a grid of the estimated thickness of strata eroded during the Cenozoic, and fault traces at the level of the Precambrian surface from a previously published 3D geologic model of the Anadarko Basin Province (Higley and others, 2014). In the original release of the 3D model, elevation surfaces were

The Landsat Collection 2 Burned Area Products for the conterminous United States (ver. 2.0, April 2024)

The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally dense time series of Landsat Analysis Ready Data (ARD) scenes to produce the Landsat Burned Area Products. The algorithm makes use of predictors derived from individual ARD Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions.

The Wildfire Hazard and Risk Assessment Inventory

The Department of the Interior (DOI) Office of Wildland Fire and USGS created the The Wildfire Hazard and Risk Assessment Inventory to meet the Monitoring, Maintenance, and Treatment Plan requirements under the Bipartisan Infrastructure Law (BIL). It provides an inventory of key national, regional, and state wildfire risk and fire hazard assessments useful for understanding different characterizat

Sentinel-1 and Sentinel-2 based frequency of open and vegetated water across the United States (2017-2021)

High-frequency observations of surface water at fine spatial scales are critical to effectively manage aquatic habitat, flood risk and water quality. We developed inundation algorithms for Sentinel-1 and Sentinel-2 across 12 sites within the conterminous United States (CONUS) covering greater than 536,000 km2 and representing diverse hydrologic and vegetation landscapes. These algorithms were trai