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LANDFIRE's (LF) 2022 Forest Canopy Cover (CC) describes the percent cover of the tree canopy in a stand. CC is a vertical projection of the tree canopy cover onto an imaginary horizontal plane. CC supplies information for fire behavior models to determine the probability of crown fire initiation, provide input in the spotting model, calculate wind reductions, and to calculate fuel moisture conditioning. To create this product, plot level CC values are calculated using the canopy fuel estimation software, Forest Vegetation Simulator (FVS). Pre-disturbance CC and Canopy Height (CH) are used as predictors of disturbed CC using a linear regression equation per Fuel Vegetation Type (FVT), disturbance type/severity, and...
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LANDFIRE (LF) 2022 Fuel Vegetation Cover (FVC) represents the LF Existing Vegetation Cover (EVC) product, modified to represent pre-disturbance EVC in areas where disturbances have occurred over the past 10 years. EVC is mapped as continuous estimates of canopy cover for tree, shrub, and herbaceous lifeforms with a potential range from 10% to 100%. Continuous EVC values are binned to align with fuel model assignments when creating FVC. FVC is an input for fuel transitions related to disturbance. Fuel products in LF 2022 were created with LF 2016 Remap vegetation in non-disturbed areas. To designate disturbed areas where FVC is modified, the aggregated Annual Disturbance products from 2013 to 2022 in the Fuel Disturbance...
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This dataset consists of 122 magnetotelluric (MT) soundings collected in 2016 in the northern Harrat Rahat, located near the holy city of Al-Madinah Al-Munawarah in Saudi Arabia. These data were collected as part of a joint project between the U.S. Geological Survey and the Saudi Geological Survey examining the volcanic hazard associated with the harrat. Imaging the 3-D electrical resistivity structure of the crust and upper mantle beneath the harrat will help in understanding the magmatic system at depth.
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Twenty quadrats within the burn perimeter of a September 2021 wildfire outside of Boise, Idaho were surveyed for the abundance of fire effects, biocrusts and vascular plants immediately post-fire. The fire was too small to be named. Char was measured as a proxy for fire intensity. Biocrusts were surveyed by morphogroup (crustose lichens, cup lichens, fruticose lichens, gelatinous lichens, short moss, tall moss) and vascular plants were surveyed by functional group (annual forbs, perennial grasses). Char was measured ocularly and biocrust/plant abundance was measured via point-vertex intercept at 40 points per quadrat. These data support the following publication: Condon, L.A., Shinneman, D.J., Rosentreter, R. and...
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This data provides locations and technical specifications of legacy versions (ver. 1.0 - ver. X.X) of the United States Wind Turbines database. Each release, typically done quarterly, updates the database with newly installed wind turbines, removes wind turbines that have been identified as dismantled, and applies other verifications based on updated imagery and ongoing quality-control. Turbine data were gathered from the Federal Aviation Administration's (FAA) Digital Obstacle File (DOF) and Obstruction Evaluation Airport Airspace Analysis (OE-AAA), the American Clean Power Association (ACP), Lawrence Berkeley National Laboratory (LBNL), and the United States Geological Survey (USGS), and were merged and collapsed...
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The Stream Conditions of Chester County Biological Monitoring Network was established by the U.S. Geological Survey and the Chester County Water Resources Authority in 1969. Benthic-macroinvertebrate, habitat, and stream chemistry data were collected annually from 1998-2021 at 18 fixed location sites. Additionally, nine flexible location sites were selected and sampled annually from 1998-2021. Some of the flexible location sites were sampled more than once over the study period. All data were collected in the fall months (October-November) during baseflow conditions. The benthic-macroinvertebrate data collected was used to calculate six metrics and to establish an index of biotic integrity for each sample, while...
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This data release provides access to a low-altitude aeromagnetic survey flown over a part of the Cascade Range of the US Pacific Northwest, approximately centered over the town of Cascade Locks, Oregon. The Cascade Locks magnetic survey encompasses two large stratovolcanoes of the Cascade Range: Mt. Hood (3426 m) in Oregon and Mt. Adams (3742 m) in Washington. Data were acquired between October 17, 2021, and February 26, 2022, by KBM Resources Group, Thunder Bay, Ontario, Canada, working under contract to the U.S. Geological Survey. The survey is underlain by a diverse magnetic terrane, including Miocene flood basalts of the Columbia River Basalt Group and Tertiary to Quaternary volcanic and intrusive rocks of the...
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The High Plains aquifer extends from approximately 32 to 44 degrees north latitude and 96 degrees 30 minutes to 106 degrees west longitude. The aquifer underlies about 175,000 square miles in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. This digital dataset consists of a raster of water-level changes for the High Plains aquifer, predevelopment (about 1950) to 2019. It was created using water-level measurements from 2,741 wells measured in both the predevelopment period (about 1950) and in 2019, the latest available static water level measured in 2015 to 2018 from 71 wells in New Mexico and using other published information on water-level change in areas with few water-level...
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Publicly available geospatial data were identified, collated, and analyzed for a region of karst terrain extending from Albany to Buffalo, New York. A series of geospatial datasets were assembled to determine the location and extent of karstic rock; bedrock geology and depth to bedrock; average water-table configuration; surficial geology; soil type, thickness, and hydraulic conductivity; land cover; and closed depressions in the land surface First release: 2021 Revised: July 2022 (ver. 2.0) Revised: October 2022 (ver. 3.0) Revised: January 2024 (ver. 4.0)
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The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photos or topographic surveys, as well as contemporary sources like lidar elevation point clouds and digital elevation models (DEMs). These shorelines are compiled and analyzed in the Digital Shoreline Analysis System (DSAS) software to compute rates of change. It is important to keep, and make available, records of historical shoreline positions to allow monitoring of change over time, and to identify areas most susceptible to erosion or accretion. These data can help coastal managers identify areas of the coast that are most likely to experience significant change over time. This...
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Effective monitoring and prediction of flood and drought events requires an improved understanding of how and why surface-water expansion and contraction in response to climate varies across space. This paper sought to (1) quantify how interannual patterns of surface-water expansion and contraction vary spatially across the Prairie Pothole Region (PPR) and adjacent Northern Prairie (NP) in the United States, and (2) explore how landscape characteristics influence the relationship between climate inputs and surface-water dynamics. Due to differences in glacial history, the PPR and NP show distinct patterns in regards to drainage development and wetland density, together providing a diversity of conditions to examine...
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Across the country, public land managers make hundreds of decisions each year that influence landscapes and ecosystems within the lands they manage. Many of these decisions involve vegetation manipulations known as land treatments. Land treatments include activities such as removal or alteration of plant biomass, seeding burned areas, and herbicide applications. Data on these land treatments historically have been stored at local offices and gathering information across large spatial areas was difficult. These valuable data needed to be centralized and stored for Federal agencies involved in land treatments because these data are useful to land managers for policy and management and to scientists for developing...
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From August 2018 to October 2019, the U.S. Geological Survey collected spatially high-resolution water quality data as part of five shoreline synoptic surveys around the perimeters of Owasco, Seneca, and Skaneateles Lakes within the Finger Lakes Region of New York. Water-quality data were collected just below water surface utilizing YSI EXO2 multiparameter sondes and portable nitrate sensors paired with real-time GPS data as part of a HABs monitoring program in the Finger Lakes. In October 2019, water-quality data collection was paired with discrete phytoplankton grab samples on Owasco Lake and Seneca Lake. Phytoplankton grab samples were collected just below water surface with a peristaltic pump at twelve locations...
Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Aquatic Biology, Contaminants, HABS, Finger Lakes, Limnology, New York, All tags...
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This child item data set provides high-resolution, nearshore, spatial water-quality data collected from Owasco Lake, New York, on June 26 and October 8, 2019. All data are reported as raw measured values. Continuous water-quality monitors were mounted to a boat at approximately 0.5-meters below the water surface and used to measure nitrate, chlorophyll fluorescence (fChl), fluorescent dissolved organic matter (fDOM), dissolved oxygen, specific conductance, phycocyanin fluorescence (fPC), turbidity, pH, and temperature.
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The Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST Warner and others, 2019; Warner and others, 2010) model was used to simulate three-dimensional hydrodynamics and waves to study salinity intrusion in the Delaware Bay estuary for 2016, 2018, 2021. Salinity intrusion in coastal systems is due in part to extreme events like drought or low-pressure storms and longer-term sea level rise, threatening economic infrastructure and ecological health. Along the eastern seaboard of the United States, approximately 13 million people rely on the water resources of the Delaware River basin, which is actively managed to suppress the salt front (or ~0.52 daily averaged psu line) through river discharge targets. However,...
Categories: Data; Types: Map Service, NetCDF OPeNDAP Service, OGC WMS Layer; Tags: Earth Science > Oceans > Ocean Circulation > Ocean Currents, Earth Science > Oceans > Ocean Temperature > Potential Temperature, Earth Science > Oceans > Salinity/Density > Salinity, Earth Science > Oceans > Sea Surface Topography > Sea Surface Height, Earth Science Services > Models > Weather Research/Forecast Models, All tags...
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This study deployed acoustic telemetry at the Fox River Navigational System Authority (FRNSA) in lock #2 and the upstream and downstream pools in Kaukauna, WI to document movements and behavior of telemetered fish species in response to injection of carbon dioxide. Telemetry equipment was setup in the test area for approximately 2 months during the summer of 2019. CSV metadata includes telemetry data with position estimates for fish during this time.
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An existing, three-dimensional, transient groundwater-flow model of the Upper Charles River Basin, eastern Massachusetts, was modified to evaluate alternative groundwater-withdrawal scenarios on water levels in Kingsbury Pond. The pond is hydraulically connected to the groundwater-flow system, and water levels in the pond fluctuate in response to recharge to the aquifer from precipitation and wastewater return flows through septic systems, to withdrawals from the aquifer at nearby wells, and to precipitation directly on the pond surface. Concerns about the effects of groundwater withdrawals on water levels in the pond prompted an investigation by the U.S. Geological Survey (USGS) in cooperation with the Massachusetts...
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This dataset provides results for the following: (1) metals concentrations in soils surrounding breeding song bird nest sites; (2) metals concentrations in invertebrates (earthworm and grub composites) collected near nest sites; (3) metals concentrations and delta-aminolevulinic acid dehydratase (ALAD) activity in avian blood samples; and (4) metals concentrations, indicators of oxidative stress and DNA damage, and histopathology in liver and/or kidney tissues collected from breeding song birds.


map background search result map search result map Data release for Wetlands inform how climate extremes influence surface water expansion and contraction Magnetotelluric data from northern Harrat Rahat, Saudi Arabia, 2016 Geospatial Data to Assess Karst Aquifer Systems Between Albany and Buffalo, New York (ver. 4.0, January 2024) United States Wind Turbine Database - legacy versions (ver. 1.0 - ver. 6.0) High-resolution spatial water-quality and discrete phytoplankton data, Owasco Lake, Seneca Lake, and Skaneateles Lake, Finger Lakes Region, New York, 2018-2019 Owasco Lake, New York spatial water-quality data, June 26 and October 8, 2019 Fire Response Effects, Biocrust, and Vascular Plant Abundance Following Wildfire near Boise, Idaho (October 2021) U.S. Geological Survey simulations of 3D-hydrodynamics in Delaware Bay (2021) Acoustic Telemetry Evaluation of Invasive Carp in Kaukauna, Wisconsin (Summer 2019) Benthic-macroinvertebrate and habitat data in Chester, Delaware, and Philadelphia Counties, Pennsylvania, 1998-2021 MODFLOW-2000 and Management-Optimization Models Used to Evaluate Alternative Groundwater-Withdrawal Scenarios on Water Levels in Kingsbury Pond, Upper Charles River Basin, Eastern Massachusetts F01_hpwicpd19t_Raster dataset of mapped water-level changes in the High Plains aquifer, predevelopment (about 1950) to 2019 Breeding songbird tissue analysis and metal concentrations in tissues, soil and invertebrates collected near nesting sites within the Southeast Missouri Lead Mining District, 2016-19 USGS Land Treatment Digital Library Data Release: A centralized archive for land treatment tabular and spatial data (ver. 6.0, August 2023), Treatment Frequency Rasters LANDFIRE 2022 Fuel Vegetation Cover (FVC) CONUS LANDFIRE 2022 Forest Canopy Cover (CC) CONUS NSHM2025_EQGeoDB_PRVI_v1 shapefile High-Resolution Aeromagnetic Survey Over Cascade Locks, Oregon, and Surrounding Areas Acoustic Telemetry Evaluation of Invasive Carp in Kaukauna, Wisconsin (Summer 2019) Owasco Lake, New York spatial water-quality data, June 26 and October 8, 2019 MODFLOW-2000 and Management-Optimization Models Used to Evaluate Alternative Groundwater-Withdrawal Scenarios on Water Levels in Kingsbury Pond, Upper Charles River Basin, Eastern Massachusetts Fire Response Effects, Biocrust, and Vascular Plant Abundance Following Wildfire near Boise, Idaho (October 2021) High-resolution spatial water-quality and discrete phytoplankton data, Owasco Lake, Seneca Lake, and Skaneateles Lake, Finger Lakes Region, New York, 2018-2019 Benthic-macroinvertebrate and habitat data in Chester, Delaware, and Philadelphia Counties, Pennsylvania, 1998-2021 High-Resolution Aeromagnetic Survey Over Cascade Locks, Oregon, and Surrounding Areas Magnetotelluric data from northern Harrat Rahat, Saudi Arabia, 2016 U.S. Geological Survey simulations of 3D-hydrodynamics in Delaware Bay (2021) Breeding songbird tissue analysis and metal concentrations in tissues, soil and invertebrates collected near nesting sites within the Southeast Missouri Lead Mining District, 2016-19 Geospatial Data to Assess Karst Aquifer Systems Between Albany and Buffalo, New York (ver. 4.0, January 2024) NSHM2025_EQGeoDB_PRVI_v1 shapefile F01_hpwicpd19t_Raster dataset of mapped water-level changes in the High Plains aquifer, predevelopment (about 1950) to 2019 Data release for Wetlands inform how climate extremes influence surface water expansion and contraction LANDFIRE 2022 Fuel Vegetation Cover (FVC) CONUS LANDFIRE 2022 Forest Canopy Cover (CC) CONUS USGS Land Treatment Digital Library Data Release: A centralized archive for land treatment tabular and spatial data (ver. 6.0, August 2023), Treatment Frequency Rasters United States Wind Turbine Database - legacy versions (ver. 1.0 - ver. 6.0)