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***This data set is superseded by Welty, J.L., and Jeffries, M.I., 2021, Combined wildland fire datasets for the United States and certain territories, 1800s-Present: U.S. Geological Survey data release, https://doi.org/10.5066/P9ZXGFY3.*** This dataset is comprised of four different zip files. Zip File 1: A combined wildfire polygon dataset ranging in years from 1878-2019 (142 years) that was created by merging and dissolving fire information from 12 different original wildfire datasets to create one of the most comprehensive wildfire datasets available. Attributes describing fires that were reported in the various source data, including fire name, fire code, ignition date, controlled date, containment date, and...
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First, we would like to thank the wildland fire advisory group. Their wisdom and guidance helped us build the dataset as it currently exists. Currently, there are multiple, freely available fire datasets that identify wildfire and prescribed fire burned areas across the United States. However, these datasets are all limited in some way. Their time periods could cover only a couple of decades or they may have stopped collecting data many years ago. Their spatial footprints may be limited to a specific geographic area or agency. Their attribute data may be limited to nothing more than a polygon and a year. None of the existing datasets provides a comprehensive picture of fires that have burned throughout the last...
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Shallow subsurface electrical conductivity was mapped at selected U.S. Fish and Wildlife Service managed lands in northeast Montana and northwest North Dakota using the DUALEM421 electromagnetic sensor (Dualem, Inc., ON, Canada) in the winters of 2017 and 2018. Data were acquired by towing the DUALEM421 sensor on a sled behind an all-terrain vehicle or snow machine, with the sensor at a nominal height of 0.3 meters (m) above ground surface. Approximately 427 line-kilometers (km) of data were acquired over an area of nearly 26 square-kilometers. Data were manually edited to remove sensor dropouts, lag corrected for apparent offsets between recorded GPS location and data locations for each coil pair, and averaged...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Anderson, Beaver Lake, Bigslough, Divide County, ND, Dog Leg, All tags...
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The U.S. Geological Survey (USGS) is providing online maps of water-table and potentiometric-surface altitude in the upper glacial, Magothy, Jameco, Lloyd, and North Shore aquifers on Long Island, New York, April–May 2016. Also provided is a depth-to-water map for Long Island, New York, April–May 2016. The USGS makes these maps and geospatial data available as REST Open Map Services (as well as HTTP, JSON, KML, and shapefile), so end-users can consume them on mobile and web clients. A companion report, U.S. Geological Survey Scientific Investigations Map 3398 (Como and others, 2018; https://doi.org/10.3133/sim3398) further describes data collection and map preparation and presents 68x22 in. Portable Document...
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Version 10.0 of these data are part of a larger U.S. Geological Survey (USGS) project to develop an updated geospatial database of mines, mineral deposits, and mineral regions in the United States. Mine and prospect-related symbols, such as those used to represent prospect pits, mines, adits, dumps, tailings, etc., hereafter referred to as “mine” symbols or features, have been digitized from the 7.5-minute (1:24,000, 1:25,000-scale; and 1:10,000, 1:20,000 and 1:30,000-scale in Puerto Rico only) and the 15-minute (1:48,000 and 1:62,500-scale; 1:63,360-scale in Alaska only) archive of the USGS Historical Topographic Map Collection (HTMC), or acquired from available databases (California and Nevada, 1:24,000-scale...
Categories: Data, Data Release - Revised; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Alabama (AL), Alaska (AK), Arizona (AZ), Arkansas (AR), California (CA), All tags...
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The Little Sequatchie River and Pryor Cove Creek watersheds are located in southern Tennessee and drain the eastern escarpment of the Cumberland Plateau to the Sequatchie River. The Little Sequatchie River has the largest drainage area of any Sequatchie River tributary, with over 130 square miles in the topographic confines of the watershed. The hydrology of both watersheds has been largely altered by karst processes which have caused the majority of the streams to sink into the sub-surface, typically at the contact between the Mississippian Pennington Formation and the underlying Mississippian Bangor Limestone. A collaborative project between the U.S. Geological Survey and the U.S. Fish and Wildlife Service began...
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The Great Basin LCC is comprised of partner individuals and organizations. These individuals and groups sit on decision making committees such as the GBLCC Steering Committee and S-TEK Committee, conduct research that is financially supported by GBLCC, particpate in Landscape Conservation Design projects, serve as operations and communications staff for the organization and fill other significant organizational roles. These data contained herein describe the geographic distribution of the individuals and organizations locations of work for the purposes of strategic analysis and planning and public display. All past and present contributors to GBLCC strategic planning, operations, and research are included based...
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Soil depth (cm) affects communities primarily because shallow soils (usually on steep slopes or ridgetops) limit deep-rooted plants. A "restrictive layer" is a nearly continuous layer that has one or more physical, chemical, or thermal properties that significantly impede the movement of water and air through the soil or that restrict roots or otherwise provide an unfavorable root environment. if no restrictive layer is described in a map unit, it is represented by the ">200' depth class, This attribute is actually recorded as three separate values in the database. A low value and a high value indicate the range of this attribute for the soil component. A "representative" value indicates the expected value of this...
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This data product contains estimates of habitat connectivity for desert bighorn sheep. The analysis area was a 236,000 square kilometers that encompassed the Navajo Nation, which includes portions of Arizona, New Mexico, and Utah. The estimates of habitat quality were created with spatially explicit habitat variables and either an expert-based linear combination process (for mountain lion and mule deer) or a generalized linear mixed model-based estimation that used radio-collar telemetry data (for desert bighorn sheep, black bear, and pronghorn; collected between 2005-2011). Habitat variables varied among species but included vegetation type, terrain ruggedness, topographic position index (TPI), road density, distance...
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The Virginia Department of Conservation and Recreation – Natural Heritage Program (DCRDNH) and the Florida Natural Areas Inventory (FNAI) at Florida State University (collectively, Project Partners) were funded by the South Atlantic Landscape Conservation Cooperative (SALCC) in April 2015 to develop ten species distribution models (SDM) of priority at-risk and range-restricted species (Ambystoma cingulatum, Echinacea laevigata, Heterodon simus, Lindera melissifolia, Lythrum curtissii, Notophthalmus perstriatus, Phemeranthus piedmontanus, Rhus michauxii, and Schwalbea americana) for the purposes of incorporating the models and supporting information on the conservation and management needs of the species into the...
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The Virginia Department of Conservation and Recreation – Natural Heritage Program (DCRDNH) and the Florida Natural Areas Inventory (FNAI) at Florida State University (collectively, Project Partners) were funded by the South Atlantic Landscape Conservation Cooperative (SALCC) in April 2015 to develop ten species distribution models (SDM) of priority at-risk and range-restricted species (Ambystoma cingulatum, Echinacea laevigata, Heterodon simus, Lindera melissifolia, Lythrum curtissii, Notophthalmus perstriatus, Phemeranthus piedmontanus, Rhus michauxii, and Schwalbea americana) for the purposes of incorporating the models and supporting information on the conservation and management needs of the species into the...
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The Virginia Department of Conservation and Recreation – Natural Heritage Program (DCRDNH) and the Florida Natural Areas Inventory (FNAI) at Florida State University (collectively, Project Partners) were funded by the South Atlantic Landscape Conservation Cooperative (SALCC) in April 2015 to develop ten species distribution models (SDM) of priority at-risk and range-restricted species (Ambystoma cingulatum, Echinacea laevigata, Heterodon simus, Lindera melissifolia, Lythrum curtissii, Notophthalmus perstriatus, Phemeranthus piedmontanus, Rhus michauxii, and Schwalbea americana) for the purposes of incorporating the models and supporting information on the conservation and management needs of the species into the...
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The data are from the Sediment Placement Projects on Sandy Beaches in the U.S. Atlantic Coast Breeding Range of the Piping Plover (Charadrius melodus) prior to Hurricane Sandy.This dataset represents the approximate locations of sediment placement projects along the U.S. North Atlantic coast from Maine through Virginia prior to the time that Hurricane Sandy made landfall in October 2012.The sediment placement projects were identified as part of an inventory of habitat modifications to sandy beach habitat within the U.S. Atlantic Coast breeding range of the federally-threatened piping plover. Sediment placement projects included in the inventory were beach nourishment projects, storm damage reduction projects, beneficial...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Data, LCC Network Science Catalog, North Atlantic Landscape Conservation Cooperative Data.gov, beach, beach, All tags...
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This dataset was last updated February 2017. This version incorporates a revised version of the land cover classification, Terrestrial and Aquatic Habitat Map (DSLland), Version 3.1 developed by the University of Massachusetts, which included the addition of The Nature Conservancy’s Northeast lakes and ponds classification.The Northern Diamondback Terrapin (Malaclemys terrapin), state reptile of Maryland, is the only turtle in the Northeast that lives exclusively in brackish waters. It has been chosen to represent the habitat needs of other species of wildlife that also use coastal estuaries and islands, tidal rivers, salt marshes, and sandy beaches from southern Massachusetts to Virginia.This dataset depicts the...
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This dataset was last updated February 2017. This version incorporates a revised version of the land cover classification, Terrestrial and Aquatic Habitat Map (DSLland), Version 3.1 developed by the University of Massachusetts, which included the addition of The Nature Conservancy’s Northeast lakes and ponds classification.The Saltmarsh Sparrow (Ammodramus caudacutus) is a small songbird that is very restricted both in terms of its habitat and range, breeding only in coastal marshes from Maine to Virginia. It has been chosen to represent the habitat needs of other species of wildlife that also use saltmarshes. This dataset depicts the potential capability of the landscape throughout the Northeastern United States...
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This dataset was developed as part of the Designing Sustainble Landscapes project led by Professor Kevin McGarigal of UMass Amherst and sponsored by the North Atlantic Landscape Conservation Cooperative (https://www.fws.gov/science/catalog); for more information about the entire project see: http://www.umass.edu/landeco/research/dsl/dsl.htmlThis dataset was last updated 02/2017. The revised version incorporates the addition of a simplified version of The Nature Conservancy's Northeast lakes and ponds classification, visit https://www.conservationgateway.org/ConservationByGeography/NorthAmerica/UnitedStates/edc/reportsdata/freshwater/Pages/Northeast-Lakes.aspx for more details.This dataset represents terrestrial...
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To evaluate the potential effects of climate change on wildlife habitat and ecological integrity in the northeastern United States from 2010 to 2080, a University of Massachusetts Amherst team derived a set of climate projections at a fine spatial resolution for the entire Northeast. The projections are based upon publicly available climate models.This dataset represents the growing season degree days (number of days in which the average temperature is > 10 degrees C) using one of two IPCC greenhouse gas concentration scenarios (RCP4.5). The dataset is intended to represent typical growing season degree days for the years 2010-2080 rather than the actual growing season degree days. MAP UNITS ARE THE SUM OF DEGREES...
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To evaluate the potential effects of climate change on wildlife habitat and ecological integrity in the northeastern United States from 2010 to 2080, a University of Massachusetts Amherst team derived a set of climate projections at a fine spatial resolution for the entire Northeast. The projections are based upon publicly available climate models.This dataset represents the mean of the minimum air temperature (degrees C) for December, January, and February using one of two IPCC greenhouse gas concentration scenarios (RCP8.5). The dataset is intended to represent typical winter temperatures for the years 2010-2080. MAP UNITS ARE TEMP. IN DEGREES C MULTIPLIED BY 100 (which allows for more efficient data storage).Detailed...
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Hydrography represents stream centerlines and off centerlines with greater than 30 hectare flow accumulation for the Northeast region. This dataset was developed as part of the Designing Sustainable Landscapes project led by Professor Kevin McGarigal of the University of Massachusetts and sponsored by the North Atlantic Landscape Conservation Cooperative; for more information about the entire project see: http://www.umass.edu/landeco/research/dsl/dsl.html The purpose of this dataset is to improve the National Hydrography Dataset (NHD) for the Northeast region. The NHD is a national framework for assigning reach addresses to water-related entities, such as industrial discharges, drinking water supplies, fish habitat...
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Karst hydrologic systems are important resources in the state of Tennessee both as drinking water resources and as centers for possible biological diversity. These systems are susceptible to contamination due to the inherent connectivity between surface water and groundwater in karst landscapes. A partnership between the U.S. Geological Survey (USGS) and Tennessee Department of Conservation (TDEC) was formed to investigate karst spring systems across the state utilizing fluorescent groundwater tracing, particularly in areas where these resources may be used as drinking water sources. In fall 2021, USGS and TDEC staff identified possible vulnerabilities or complexities that may exist within karst spring systems based...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Boiling Fork Creek, COWAN TENNESSEE KARST SPRING CAVE DYE TRACING TDEC USGS, Cannon County, TN, Cowan, TN, Cumberland Plateau, All tags...


map background search result map search result map Soil Depth Mean Minimum Winter Temperature (deg. C) for Northeast, Projected for 2010-2080, RCP8.5 Growing Season Degree Days for Northeast, Projected for 2010-2080, RCP 4.5 Hydrography High Resolution, 1:24,000, Northeast Bighorn Sheep Habitat Connectivity Landscape Capability for Saltmarsh Sparrow, Version 3.0, Northeast U.S. Terrestrial and Aquatic Habitat Map (DSLland), Version 3.1, Northeast U.S. Landscape Capability for Diamondback Terrapin, Version 3.1, Northeast U.S. Potentiometric Surface Contours of the Lloyd and North Shore Aquifers, April-May 2016 Great Basin LCC Partners Prospect- and Mine-Related Features from U.S. Geological Survey 7.5- and 15-Minute Topographic Quadrangle Maps of the United States (ver. 10.0, May 2023) At-risk and range restricted species models: Geographic Datasets for Heterodon simus (Southern Hognose Snake) At-risk and range restricted species models: Geographic Datasets for Echinacea laevigata (Smooth coneflower) At-risk and range restricted species models: Geographic Datasets for Schwalbea americana (American Chaffseed) Sediment Placement, Before Hurricane Sandy, North and Mid-Atlantic U.S. Ground conductivity measurements at selected National Wildlife Refuges, Montana and North Dakota, 2017-2018 Combined wildfire datasets for the United States and certain territories, 1878-2019 Tennessee Karst Groundwater Dye Tracing Water Year 2022 Mapping karst groundwater flow paths and delineating recharge areas for springs in the Little Sequatchie and Pryor Cove watersheds, Tennessee Mapping karst groundwater flow paths and delineating recharge areas for springs in the Little Sequatchie and Pryor Cove watersheds, Tennessee Ground conductivity measurements at selected National Wildlife Refuges, Montana and North Dakota, 2017-2018 Potentiometric Surface Contours of the Lloyd and North Shore Aquifers, April-May 2016 Tennessee Karst Groundwater Dye Tracing Water Year 2022 Bighorn Sheep Habitat Connectivity Sediment Placement, Before Hurricane Sandy, North and Mid-Atlantic U.S. At-risk and range restricted species models: Geographic Datasets for Schwalbea americana (American Chaffseed) At-risk and range restricted species models: Geographic Datasets for Heterodon simus (Southern Hognose Snake) At-risk and range restricted species models: Geographic Datasets for Echinacea laevigata (Smooth coneflower) Hydrography High Resolution, 1:24,000, Northeast Soil Depth Landscape Capability for Saltmarsh Sparrow, Version 3.0, Northeast U.S. Terrestrial and Aquatic Habitat Map (DSLland), Version 3.1, Northeast U.S. Landscape Capability for Diamondback Terrapin, Version 3.1, Northeast U.S. Mean Minimum Winter Temperature (deg. C) for Northeast, Projected for 2010-2080, RCP8.5 Growing Season Degree Days for Northeast, Projected for 2010-2080, RCP 4.5 Great Basin LCC Partners Combined wildfire datasets for the United States and certain territories, 1878-2019 Prospect- and Mine-Related Features from U.S. Geological Survey 7.5- and 15-Minute Topographic Quadrangle Maps of the United States (ver. 10.0, May 2023)