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Federal
USGS Southwest Repeat Photography Collection: Kanab Creek, southern Utah and northern Arizona, 1872-2010
Department of the Interior —
The USGS Southwest Repeat Photography Collection (‘Collection’), formerly named the Desert Laboratory Repeat Photography Collection, is now housed by the Southwest... -
Federal
Conservation Planning for the Colorado River in Utah - Diversity of All Structural Types for General Diversity Model
Department of the Interior —
This dataset represents the variety (unique structural classes: water, bare, herbaceous, short shrubs, medium shrubs, short trees, tall trees) within 1 ha of... -
Federal
Rainfall, Volumetric Soil-Water Content, Video, and Geophone Data from the Hermits Peak-Calf Canyon Fire Burn Area, New Mexico, June 2022 to June 2024
Department of the Interior —
Precipitation, volumetric soil-water content, videos, and geophone data characterizing postfire debris flows were collected at the 2022 Hermit’s Peak Calf-Canyon Fire... -
Federal
California Pronghorn Clear Lake Migration Routes
Department of the Interior —
The Clear Lake herd contains migrants, but this herd does not migrate between traditional summer and winter seasonal ranges. Instead, much of the herd displays a... -
Federal
Wetland burned area extent derived from Sentinel-2 across the southeastern U.S. (2016-2019)
Department of the Interior —
Wildfires and prescribed fires are frequent but under-mapped across wetlands of the southeastern United States . High annual precipitation supports rapid post-fire... -
Federal
GFDLG Historical Prescribed Burn Windows for the Southeast United States 1950-1999
Department of the Interior —
Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific... -
Federal
MODFLOW-NWT datasets for simulations of groundwater and surface-water in the Great Dismal Swamp of Virginia and North Carolina
Department of the Interior —
The U.S. Geological Survey (USGS), in cooperation with the U.S Fish and Wildlife Service, has investigated the hydrology of the Great Dismal Swamp (Swamp) National... -
Federal
Data used to characterize the historical distribution of wildfire severity in the western United States in support of pre-fire assessment of debris-flow hazards
Department of the Interior —
Following wildfire, mountainous areas of the western United States are susceptible to enhanced runoff and erosion and an increased vulnerability to debris flow during... -
Federal
California Mule Deer Kern River Stopovers
Department of the Interior —
The Kern River deer herd includes primarily California mule deer (Odocoileus hemionus californicus), but some Inyo mule deer (Odocoileus hemionus inyoensis) associate... -
Federal
LANDFIRE 2022 Historical Disturbance (HDist) AK
Department of the Interior —
LANDFIRE (LF) disturbance products are developed to provide temporal and spatial information related to landscape change. Historical Disturbance (HDist) is developed... -
Federal
Predictions of PFAS Occurrence in Groundwater at the Depth of Drinking Water Supplies in the Conterminous United States: Data and Model Archive
Department of the Interior —
An extreme gradient boosting ensemble tree model predicting per- and polyfluoroalkyl substances (PFAS) occurrence in groundwater at the depths typical of the bottom... -
Federal
LANDFIRE 2016 Remap Slope (SLP) Micronesia
Department of the Interior —
Slope was produced from the IA DEM using ESRIs Slope tool. Output measurement for slope was both Degrees and Percent Rise (2 files produced). -
Federal
Stream Temperature Data in the Willow-Whitehorse watershed of SE Oregon, 2011-15
Department of the Interior —
This dataset includes stream temperatures from a network of 100 data loggers that was installed throughout the Willow-Whitehorse watershed of SE Oregon in September... -
Federal
LANDFIRE 2022 Canadian Forest Fire Danger Rating System (CFFDRS) AK
Department of the Interior —
The LANDFIRE (LF) Canadian Forest Fire Danger Rating System (CFFDRS) product depicts fuel types as an identifiable association of fuel elements of distinctive... -
Federal
Rainfall, Volumetric soil-water content, Video, and Geophone Data from the Calwood Fire Burn Area, Colorado, April 2021 to November 2023
Department of the Interior —
Rainfall, volumetric soil-water content, video, and geophone data characterizing postfire rainfall and runoff were collected at two stations in the 2020 Calwood Fire... -
Federal
Geochemistry of sediment and organic matter in drainages burned by the Altas and Nuns wildfires in October 2017 and of nearshore seabed sediment in north San Francisco Bay from March to April 2018
Department of the Interior —
Fine-grained sediment was collected from the banks of Napa River, Sonoma Creek, and tributaries in March 2018 and from shallow nearshore areas of the northern reach... -
Federal
Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for CONUS in 1988
Department of the Interior —
The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and... -
Federal
Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for CONUS in 1999
Department of the Interior —
The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and... -
Federal
Circuit-based potential fire connectivity and relative flow patterns in the Great Basin, United States, 270 meters
Department of the Interior —
The rasters in this dataset represent modeled outputs of potential fire connectivity and relative flow patterns in the Great Basin. We define ‘fire connectivity’ as... -
Federal
Postfire erosion modeling results using the Water Erosion Prediction Project (WEPP) model for all large wildfires in California, 1984–2021
Department of the Interior —
This is a shapefile containing polygons of watersheds that were burned in wildfires that occurred in California between 1984 and 2021. The Water Erosion Prediction...