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This data release includes hydroacoustic data for the 2021 to 2022 water years at four stations. These stations are part of a discrete and continuous monitoring project in embayments on Long Island Sound to support nutrient management activities in Connecticut. The data were collected by the U.S Geological Survey (USGS) in cooperation with the Connecticut Department of Energy and Environmental Protection. The data were collected using acoustic doppler current profilers (ADCPs) sampling 134 parameters every six minutes. Recorded values above the water surface were removed from files using an R script. The ADCPs were deployed at upstream and downstream locations in the Mystic and Norwalk embayments. For the Mystic...
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The data herein are geochemical (from X-Ray fluorescence spectrometry), grain size (percent clay, silt, sand), lithological (loss on ignition data), bathymetric, reconstructed IVT, and radioactive isotopes (14-C, 210-Pb, 226-Ra, and 137-Cs). These data were collected from sediments from Leonard Lake, Mendocino County, California, USA starting in 2014. Together, these data provide evidence for a record of extreme precipitation going back three millennia, showing regional pluvial and drought cycles.
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This product ("Prairie fires") presents burned area boundaries for The Flint Hills Ecoregion (KS and OK), one of the most fire prone ecosystems in the United States where hundreds of thousands of acres burn annually as prescribed fire and wildfire. The prairie fire products provide the extent of larger prairie fires in the Flint Hills to record the occurrence of fire and can be used to identify individual burned areas within the perimeters. This product is published to provide fire information of the most fire prone ecosystems to individuals and land management communities for assessing burn extent and impacts on a time sensitive basis. The methods used to produce the prairie fire products from 2019 to present are...
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These data products are preliminary burn severity assessments derived from data obtained from suitable imagery (including Landsat TM, Landsat ETM+, Landsat OLI, Sentinel 2A, and Sentinel 2B). The pre-fire and post-fire subsets included were used to create a differenced Normalized Burn Ratio (dNBR) image. The dNBR image attempts to portray the variation of burn severity within a fire. The severity ratings are influenced by the effects to the canopy. The severity rating is based upon a composite of the severity to the understory (grass, shrub layers), midstory trees and overstory trees. Because there is often a strong correlation between canopy consumption and soil effects, this algorithm works in many cases for Burned...
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This map layer is a vector polygon shapefile of the perimeters of all currently inventoried fires occurring between calendar year 2021 and 2021 that do not meet standard MTBS size criteria. These data are published to augment the data that are available from the MTBS program. This product was produced using the methods of the Monitoring Trends in Burn Severity Program (MTBS); however, these fires do not meet the size criteria for a standard MTBS assessment. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. MTBS typically...
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The U. S. Fish and Wildlife Service (FWS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. These data products are burned area boundary shapefiles derived from post-fire sensor data (including Landsat TM, Landsat ETM+, Landsat OLI). The pre-fire and post-fire subsets included were used to create Normalized Burn Ratio (NBR) and then a differenced Normalized Burn Ratio (dNBR) image. The objective of this assessment was to generate burned area boundaries for each fire. Data bundles also include post-fire subset, pre-fire subset, NBR, and dNBR images. This map layer is a thematic raster...
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These datasets provide early estimates of 2024 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from April to late June. Typically, the EAG estimates are publicly released within 7-13 days of the latest satellite observation used for that version. Each weekly release contains five fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) Field Brome (Bromus arvensis); 4) medusahead (Taeniatherum caput-medusae); and 5) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory,...
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This data release contains time series and plots summarizing mean monthly temperature and total monthly precipitation, and runoff from the U.S. Geological Survey Monthly Water Balance Model at 115 National Wildlife Refuges within the U.S. Fish and Wildlife Service Mountain-Prairie Region (CO, KS, MT, NE, ND, SD, UT, and WY). The three variables are derived from two sets of statistically-downscaled general circulation models from 1951 through 2099. The three variables were summarized for comparison across four 19-year periods: historic (1951-1969), baseline (1981-1999), 2050 (2041-2059), and 2080 (2071-2089). For each refuge, mean monthly plots, seasonal box plots, and annual envelope plots were produced for each...
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These data are high-resolution bathymetry (riverbed elevation) in compressed LAS (*.laz) format, generated from the July 17–19, 2023, hydrographic survey of Bubbly Creek and various sidings, harbors, and turning basins on the Chicago Sanitary and Ship Canal (CS&SC) in Cook County, Illinois. The survey includes all Bubbly Creek from the confluence with the CS&SC in the north to the Racine Avenue Pump station in the south; various sidings and turning basins along the CS&SC between Kedzie Avenue and South Halsted Street; and the Marine Safety Station harbor near the Chicago Harbor Lock on Lake Michigan. This survey is a continuation and enhancement of the bathymetric survey of the CS&SC in Cook County, Illinois, conducted...
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The consists of longitudinal water surface profiles collected in a 10-km reach of the Missouri River at Sheepnose Bend downstream from Lexington, Missouri. Water surface elevation profiles were generated from data collected by USGS staff from the Columbia Environmental Research Center during multibeam sonar surveys of the channel bed in 2019, 2020, and 2021.
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The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a thematic raster image...
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This volume's release consists of 64642 media files captured by autonomous wildlife monitoring devices under the project, Maine Department of Inland Fisheries and Wildlife. The attached files listed below include several CSV files that provide information about the data release. The file, "media.csv" provides the metadata about the media, such as filename and date/time of capture. The actual media files are housed within folders under the volume's "child items" as compressed files. A critical CSV file is "dictionary.csv", which describes each CSV file, including field names, data types, descriptions, and the relationship of each field to fields other CSV files. Some of the media files may have been "tagged" or "annotated"...
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The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public land and voluntarily provided private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastre Theme ( https://ngda-cadastre-geoplatform.hub.arcgis.com/ ). The PAD-US is an ongoing project with several published versions of a spatial database including areas dedicated to the preservation of biological diversity, and other natural (including extraction), recreational, or cultural uses, managed for these purposes through legal or other effective means. The database was originally designed to support biodiversity assessments; however, its scope expanded in recent...
Tags: Agricultural Research Service, Alabama (AL), Alaska (AK), American Samoa (AS), Arizona (AZ), All tags...
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The USGS’s FORE-SCE model was used to produce land-use and land-cover (LULC) projections for the conterminous United States. The projections were originally created as part of the "LandCarbon" project, an effort to understand biological carbon sequestration potential in the United States. However, the projections are being used for a wide variety of purposes, including analyses of the effects of landscape change on biodiversity, water quality, and regional weather and climate. The year 1992 served as the baseline for the landscape modeling. The 1992 to 2005 period was considered the historical baseline, with datasets such as the National Land Cover Database (NLCD), USGS Land Cover Trends, and US Department of Agriculture's...
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This dataset represents 505 campsites along the Colorado River in Grand Canyon with associated debris flow probabilities calculated for approximately a 100-year period (Griffiths and others, 2004) and geomorphic attributes mapped by the U.S. Geological Survey, Grand Canyon Monitoring and Research Center (USGS-GCMRC) (Hadley and others, 2018). The campsite polygons were developed as part of a master campsite database that was a collaborative effort to maintain between the National Park Service in Grand Canyon National Park and the USGS-GCMRC. Debris flow probabilities have been added as an attribute from ungauged tributary watersheds published in 2004 (Griffiths and others, 2004). Area and percentages of campsites...
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The U. S. Fish and Wildlife Service (FWS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. These data products are burned area boundary shapefiles derived from post-fire sensor data (including Landsat TM, Landsat ETM+, Landsat OLI). The pre-fire and post-fire subsets included were used to create Normalized Burn Ratio (NBR) and then a differenced Normalized Burn Ratio (dNBR) image. The objective of this assessment was to generate burned area boundaries for each fire. Data bundles also include post-fire subset, pre-fire subset, NBR, and dNBR images. This map layer is a thematic raster...
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The U. S. Fish and Wildlife Service (FWS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. These data products are burned area boundary shapefiles derived from post-fire sensor data (including Landsat TM, Landsat ETM+, Landsat OLI). The pre-fire and post-fire subsets included were used to create Normalized Burn Ratio (NBR) and then a differenced Normalized Burn Ratio (dNBR) image. The objective of this assessment was to generate burned area boundaries for each fire. Data bundles also include post-fire subset, pre-fire subset, NBR, and dNBR images. This map layer is a thematic raster...
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The U. S. Fish and Wildlife Service (FWS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. These data products are burned area boundary shapefiles derived from post-fire sensor data (including Landsat TM, Landsat ETM+, Landsat OLI). The pre-fire and post-fire subsets included were used to create Normalized Burn Ratio (NBR) and then a differenced Normalized Burn Ratio (dNBR) image. The objective of this assessment was to generate burned area boundaries for each fire. Data bundles also include post-fire subset, pre-fire subset, NBR, and dNBR images. This map layer is a thematic raster...
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Airborne geophysical surveys were acquired in March 2018 and May 25 through August 7, 2021 using a helicopter-based platform. These surveys were collected along 10,706 line-kilometers (line-km) within selected areas of the Mississippi Alluvial Plain (MAP) and the Chicot Aquifer System in the southeastern United States. The airborne geophysical surveys include electromagnetic, magnetic, and radiometric sensor data collected in rivers and levees throughout the two areas to evaluate groundwater and surface-water interaction, riverine ecosystems, and infrastructure. This data release contains three child items that provide: Minimally processed (raw) data supplied by the airborne contractor (Xcalibur Multiphysics)...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: "Geomorphology"], "Hydrology", "Sedimentology", "Stratigraphy", "Water Resources", All tags...
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Periphyton is a complex community of detritus, bacteria, fungi, and algae that grows attached to submerged substrates. Assemblage structure data for algae and cyanobacteria from periphyton samples were collected on a monthly basis from 2017 to 2021. Compiled data were reported as absolute abundance (cells) and biovolume per volume as well as absolute abundance (cells) and biovolume per area at four locations increasing in distance east of the L-67 canal in Water Conservation Area 3 (WCA 3) of the Florida Everglades immediately north of Everglades National Park. The periphyton assemblages were analyzed for five sample types including periphyton plates (Plates), invertebrate inclusion and exclusion plates (Inverts),...


map background search result map search result map Conterminous United States Land Cover Projections - 1992 to 2100 Decompartmentalization Physical Model (South Florida Water Management District) Periphyton Abundance and Biovolume Data 2017–21 (ver 1.1, April 2024) Airborne electromagnetic, magnetic, and radiometric surveys of the Mississippi Alluvial Plain and Chicot Aquifer System, March 2018 and May - August 2021 Water surface elevation longitudinal profile data for a 10-km reach of the Missouri River at Sheepnose Bend, near Lexington, Missouri 2019-2021 Hydroclimate Projections for Select U.S. Fish and Wildlife Service Properties - Mountain-Prairie Region, 1951-2099 Hydroacoustic Data to Support Embayment Monitoring in Long Island Sound, Mystic and Norwalk Embayments, Connecticut, 2021-2022 Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for 2021 (ver. 5.0, August 2023) Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2023 (ver. 6.0, January 2024) Prairie Fire Assessment of Fire Occurrence Dataset (FOD) points location (ver. 6.0, January 2024) Undersized Fire Mapping Program Burned Area Boundaries (ver. 5.0, October 2023) Maine Department of Inland Fisheries and Wildlife Volume 1 (2022 - 2023) Bathymetry of Bubbly Creek and Chicago Sanitary and Ship Canal Sidings in Cook County, Illinois, July 2023 US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 1985 (ver. 6.0, January 2024) US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 1992 (ver. 6.0, January 2024) US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 1993 (ver. 6.0, January 2024) US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 1995 (ver. 6.0, January 2024) Geochemical, grain size, lithological, bathymetric, reconstructed integrated vapor transport, and age model data for Leonard Lake, Mendocino County Geomorphic attributes of campsites adjacent to the Colorado River in Grand Canyon, AZ (Provisional Release) Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2024 Decompartmentalization Physical Model (South Florida Water Management District) Periphyton Abundance and Biovolume Data 2017–21 (ver 1.1, April 2024) Water surface elevation longitudinal profile data for a 10-km reach of the Missouri River at Sheepnose Bend, near Lexington, Missouri 2019-2021 Bathymetry of Bubbly Creek and Chicago Sanitary and Ship Canal Sidings in Cook County, Illinois, July 2023 Hydroacoustic Data to Support Embayment Monitoring in Long Island Sound, Mystic and Norwalk Embayments, Connecticut, 2021-2022 Geomorphic attributes of campsites adjacent to the Colorado River in Grand Canyon, AZ (Provisional Release) Geochemical, grain size, lithological, bathymetric, reconstructed integrated vapor transport, and age model data for Leonard Lake, Mendocino County Maine Department of Inland Fisheries and Wildlife Volume 1 (2022 - 2023) Airborne electromagnetic, magnetic, and radiometric surveys of the Mississippi Alluvial Plain and Chicot Aquifer System, March 2018 and May - August 2021 US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 1992 (ver. 6.0, January 2024) Hydroclimate Projections for Select U.S. Fish and Wildlife Service Properties - Mountain-Prairie Region, 1951-2099 Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2024 US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 1985 (ver. 6.0, January 2024) US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 1995 (ver. 6.0, January 2024) US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 1993 (ver. 6.0, January 2024) Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for 2021 (ver. 5.0, August 2023) Conterminous United States Land Cover Projections - 1992 to 2100 Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2023 (ver. 6.0, January 2024) Prairie Fire Assessment of Fire Occurrence Dataset (FOD) points location (ver. 6.0, January 2024) Undersized Fire Mapping Program Burned Area Boundaries (ver. 5.0, October 2023)