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In 2006-2007, Alaska Division of Geological & Geophysical Surveys (DGGS) geologists traversed and collected rock samples from ridges on the north side of Granite Mountain in the Mount Hayes D-3 Quadrangle to supplement existing literature with additional details about the variations in texture, lithology and orientation of the 'Granite of Granite Mountain' (map unit grgm) described by Nokleberg and others (1992). The digital data files for this report provide station locations and observations recorded in the geologists' field notes. Outcrop observations describe fine- to medium-grained granodiorite and medium- to coarse-grained tonalite units which appear to be in contact with each other on the ridges north of...
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A layer of the genereal location of rest areas and information centers known by WyDOT within the state of Wyoming
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Alaska Division of Oil and Gas personnel collected and interpreted various data sources related to the interpretation of the Base Tertiary unconformity surface in the Cook Inlet Basin, Alaska.Data sources included public literature, public well data information (from the AOGCC-Alaska Oil and Gas Conservation Commission), a palynology database (Greater Cook Inlet Stratigraphic Palynology Control Database and Stud,Zippi, P.A., 2006) and over 2000 miles of 2D marine seismic data (CI-88 and CI-89 licensed from, and complements of, CGGVeritas.) Interpreted formation tops of the Base Tertiary unconformity are tabulated on the map.
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Lake Poinsett is a 260-hectare (640 acres) lake located on Crowley’s Ridge in northeastern Arkansas, approximately 6 km southeast of Harrisburg, Arkansas within Poinsett County. The lake was built for recreation by the Arkansas Highway Department in 1960 by constructing a roughly 800-meter dam across the southern boundary of the Distress Creek watershed. The dam is currently operated by the Arkansas Game and Fish Commission (AGFC). AGFC and Arkansas Natural Resources Commission (ANRC) plan to drain the lake to allow access for a series of bank stabilization and dam safety improvements. Because none of the original blueprints exist, AGFC asked the U.S. Geological Survey (USGS) to conduct a series of differential...
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These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Missouri River near Structure G0069 on Missouri State Highway 240 at Glasgow, Missouri, in 2011, 2013, and 2017. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and the horizontal and...
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These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Mississippi River near structure A5054 on Interstate 72 at Hannibal, Missouri, in 2014 and 2018. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and the horizontal and vertical position...
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These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Missouri River near dual bridge structure A3665 on U.S. Highway 36 at St. Joseph, Missouri, in 2011, 2014, and 2018. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and the horizontal...
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These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Mississippi River near structure A5076 on Missouri State Highway 34 at Cape Girardeau, Missouri, in 2014 and 2018. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and the horizontal...
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These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Mississippi River near structure A1700 on Interstate 155 near Caruthersville, Missouri, in 2008, 2011, 2014 and 2018. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and the horizontal...
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The Alaska Resource Data File (ARDF) is a subset of the National Mineral Resource Data System (MRDS) that has been specifically re-formatted and re-designed to better meet the needs of the local user community.
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Some of the NOS rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - As a final measure of potential human impacts to the ecoregions, the impacts of current anthropogenic development are summarized in a 60 x 60 m grid by the landscape condition model (LCM). The LCM weights the relative influence of different types of human footprints based on factors like permanence, nature of the activity,...
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Some of the YKL rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - As a final measure of potential human impacts to the ecoregions, the impacts of current and long term potential anthropogenic development are summarized in a 60 x 60 m grid by the landscape condition model (LCM). The LCM weights the relative influence of different types of human footprints based on factors like permanence,...
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Some of the CYR rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - As a final measure of potential human impacts to the ecoregions, the impacts of current anthropogenic development are summarized in a 60 x 60 m grid by the landscape condition model (LCM). The LCM weighs the relative influence of different types of human footprints based on factors like permanence, nature of the activity,...
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Landscape condition should not be assessed at a particular location without some explicit consideration of the surrounding environment. Landscape intactness provides a quantifiable and readily assessable measure of naturalness: it is a measure of how contiguous a landscape is. The purpose of this dataset is to provide an assessment of the relative landscape condition across a region to identify if the areas with degraded conditions are isolated or connected, which corresponds to how resilient an area might be to future changes. Some elements of human modification, specifically subsistence harvest, are not captured well in current models of intactness. Therefore, we modeled landscape intactness by extracting areas...
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This dataset represents recreation sites extracted from Utah BLM FAMS. Utah BLM data extracted from the Facilities Asset Management System (FAMS). This dataset contains administrative and recreation related assets, including campgrounds, trail heads, etc. For more information about FAMS, see this website: http://web.blm.gov/lrpo/fams/index.html
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Some of the YKL rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - To provide a more comprehensive measure of potential impacts to the ecoregions, we summarize all the potential impacts to Conservation Elements (CEs) generalized to the 5th-level hydrologic units under what we call the Cumulative Impacts assessment. The measurement of cumulative impacts has become increasingly emphasized both...


map background search result map search result map Right of Way Corridors for the BLM Rawlins Field Office, Wyoming at 1:24,000 Rest Areas and Information Centers as Reported by WyDOT for Wyoming Water Balance and Habitat Suitability Data for Pinus Albicaulis in Greater Yellowstone Ecosystem siteID-019 Gallatin River at I-90 near Manhattan, MT Geologic notes on Granite Mountain, Mount Hayes D-3 Quadrangle, Alaska Top Mesozoic unconformity depth map of the Cook Inlet Basin, Alaska Geophysical Surveys at Lake Poinsett Dam, Poinsett County, Arkansas Site 17 Missouri River Bathymetry and Velocimetry Data at Structure G0069 on Missouri State Highway 240 at Glasgow, Missouri, July 2011 through May 2017 Site 02 Missouri River Bathymetry and Velocimetry Data at Dual Bridge Structure A3665 on U.S. Highway 36 at St. Joseph, Missouri, July 2011 through July 2018 Site 31 Mississippi River Bathymetry and Velocimetry Data at Structure A5054 on Interstate 72 at Hannibal, Missouri, June 2014 and July 2018 Site 37 Mississippi River Bathymetry and Velocimetry Data at Structure A5076 on Missouri State Highway 34 at Cape Girardeau, Missouri, June 2014 and July 2018 Site 38 Mississippi River Bathymetry and Velocimetry Data at Structure A1700 on Interstate 155 near Caruthersville, Missouri, December 2008 through July 2018 BLM REA COP 2010 BLM Recreation Sites in Utah BLM REA CYR 2013 Current Landscape Integrity Minimum Reserve in the Central Yukon Study Area BLM REA CYR 2013 Long-Term Future (2060) Landscape Condition per 5th Level Hydrologic Unit BLM REA YKL 2011 Near-Term Future (2025) Anthropogenic/Biotic Cumulative Impacts in the Yukon River Lowlands - Kuskokwim Mountains - Lime Hills BLM REA YKL 2011 Distribution of Placer Sites in the Yukon River Lowlands - Kuskokwim Mountains - Lime Hills BLM REA YKL 2011 Long term future (2060) landscape condition model in the Yukon River Lowlands - Kuskokwim Mountains - Lime Hills BLM REA NOS 2012 High Development Scenario (2040) Landscape Condition Faults in the Southern Piceance Basin, 2000 Colorado Plateau Coal Assessment (psfltg) siteID-019 Gallatin River at I-90 near Manhattan, MT Site 02 Missouri River Bathymetry and Velocimetry Data at Dual Bridge Structure A3665 on U.S. Highway 36 at St. Joseph, Missouri, July 2011 through July 2018 Site 17 Missouri River Bathymetry and Velocimetry Data at Structure G0069 on Missouri State Highway 240 at Glasgow, Missouri, July 2011 through May 2017 Geophysical Surveys at Lake Poinsett Dam, Poinsett County, Arkansas Site 37 Mississippi River Bathymetry and Velocimetry Data at Structure A5076 on Missouri State Highway 34 at Cape Girardeau, Missouri, June 2014 and July 2018 Site 31 Mississippi River Bathymetry and Velocimetry Data at Structure A5054 on Interstate 72 at Hannibal, Missouri, June 2014 and July 2018 Site 38 Mississippi River Bathymetry and Velocimetry Data at Structure A1700 on Interstate 155 near Caruthersville, Missouri, December 2008 through July 2018 Geologic notes on Granite Mountain, Mount Hayes D-3 Quadrangle, Alaska Faults in the Southern Piceance Basin, 2000 Colorado Plateau Coal Assessment (psfltg) Right of Way Corridors for the BLM Rawlins Field Office, Wyoming at 1:24,000 Water Balance and Habitat Suitability Data for Pinus Albicaulis in Greater Yellowstone Ecosystem BLM REA COP 2010 BLM Recreation Sites in Utah Top Mesozoic unconformity depth map of the Cook Inlet Basin, Alaska Rest Areas and Information Centers as Reported by WyDOT for Wyoming BLM REA YKL 2011 Distribution of Placer Sites in the Yukon River Lowlands - Kuskokwim Mountains - Lime Hills BLM REA YKL 2011 Near-Term Future (2025) Anthropogenic/Biotic Cumulative Impacts in the Yukon River Lowlands - Kuskokwim Mountains - Lime Hills BLM REA YKL 2011 Long term future (2060) landscape condition model in the Yukon River Lowlands - Kuskokwim Mountains - Lime Hills BLM REA NOS 2012 High Development Scenario (2040) Landscape Condition BLM REA CYR 2013 Current Landscape Integrity Minimum Reserve in the Central Yukon Study Area BLM REA CYR 2013 Long-Term Future (2060) Landscape Condition per 5th Level Hydrologic Unit