Skip to main content
Advanced Search

Filters: Types: OGC WFS Layer (X) > partyWithName: U.S. Geological Survey (X) > Extensions: Shapefile (X) > Types: Map Service (X)

1,034 results (14ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
Shallow subsurface electrical conductivity was mapped at North Root National Wildlife Refuge (NWR) in northeast Montana using the DUALEM421 electromagnetic sensor (Dualem, Inc., ON, Canada) in the winter of 2017. 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 9 line-kilometers (km) of data were acquired over an area of approximately 1 square-kilometer. 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 to a sounding distance of 1m along the survey...
thumbnail
Hydrothermally altered rocks, particularly if water saturated, can weaken stratovolcanoes, thereby increasing the potential for catastrophic sector collapses that can lead to far-traveled, destructive debris flows, which are the largest volcanic hazards for Mount Adams and Mount Baker. Evaluating the hazards associated with such alteration is difficult because much of the alteration is obscured by ice and its depth extent is unknown. Intense hydrothermal alteration significantly reduces the resistivity and magnetization of volcanic rock and therefore hydrothermally altered rocks are identified with helicopter electromagnetic and magnetic measurements at Mount Baker and Mount Adams. High resolution magnetic and electromagnetic...
thumbnail
The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes a compilation of previously published historical shoreline positions for Virginia spanning 148 years (1849-1997), and two new mean high water (MHW) shorelines extracted from lidar data collected...
thumbnail
wy_lvl7_coarsescale: Wyoming hierarchical cluster level 7 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different...
thumbnail
Active channel as defined by remote sensing before (2010 and after (2011) a 40 year return period flood (December 2010) within the lower Virgin River, Nevada.
thumbnail
The U.S. Geological Survey (USGS) collected over 1,840 physical property measurements on selected plutons in the Great Basin, primarily in California and Nevada. Data include station identifier, geographic coordinates, rock type, density, magnetic susceptibility, remanent magnetization, declination, and inclination where available. Data are presented in ASCII format and include density and magnetic property data in pluton_data.csv, a data dictionary describing the data fields in data_dictionary.csv, and a rock data dictionary listing rock types in rock_dictionary.csv. Preliminary results and interpretation were described by Ponce and others (2010) and some samples are from Sikora and others (1991). References: Ponce,...
thumbnail
This data release is part of a 2016-2019 study on the geology, geochemistry and geochronology of ore systems in the eastern Yukon-Tanana Upland region, Alaska. Whole rock chemistry was conducted on 185 samples, mostly from Au prospects, with lesser samples from porphyry Cu prospects. Geographically, most samples are from gold prospects near the Pogo Au mine and east to Black Mountain in the Big Delta quadrangle. Fewer samples are from prospects in the Eagle and Tanacross Quadrangles. Samples were submitted to the USGS contract laboratory and analyzed for select trace elements and gold. Sixty elements were determined by inductively coupled plasma-optical emission spectroscopy-mass spectroscopy (ICP-OES-MS), sodium...
thumbnail
Shallow subsurface electrical conductivity was mapped at Beaver Lake National Wildlife Refuge (NWR) in northwest North Dakota using the DUALEM421 electromagnetic sensor (Dualem, Inc., ON, Canada) in the winter of 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 127 line-kilometers (km) of data were acquired over an area of approximately 8 square-kilometers. At this survey location, the 4m transmitter-receiver horizontal co-planar and perpendicular coil orientations did not function due to equipment malfunction. Data were manually edited to remove sensor dropouts,...
thumbnail
The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes one new mean high water (MHW) shoreline extracted from lidar data collected in 2017 for the entire coastal region of North Carolina which is divided into four subregions: northern North Carolina...
thumbnail
The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes one new mean high water (MHW) shoreline extracted from lidar data collected in 2017 for the entire coastal region of North Carolina which is divided into four subregions: northern North Carolina...
thumbnail
Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
thumbnail
To determine if invasive annual grasses increased around energy developments after the construction phase, we calculated an invasives index using Landsat TM and ETM+ imagery for a 34-year time period (1985-2018) and assessed trends for 1,755 wind turbines (from the U.S. Wind Turbine Database) installed between 1988 and 2013 in the southern California desert. The index uses the maximum normalized difference vegetation index (NDVI) for early season greenness (January-June), and mean NDVI (July-October) for the later dry season. We estimated the relative cover of invasive annuals each year at turbine locations and control sites and tested for changes before and after each turbine was installed. These data were used...
thumbnail
Shallow subsurface electrical conductivity was mapped at Stateline National Wildlife Refuge (NWR) in northeast Montana using the DUALEM421 electromagnetic sensor (Dualem, Inc., ON, Canada) in the winter of 2017. 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 3 line-kilometers (km) of data were acquired over an area of approximately .2 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 to a sounding distance of 1m along the survey...
thumbnail
Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Atlantic Ocean, Barrier Island, Bayesian Network, CMGP, Coastal Erosion, All tags...
thumbnail
This dataset contains absolute-gravity measurements made using an A-10 absolute gravity meter (Micro-g Lacoste, Inc.) in 2019 in Pinal County, Arizona. Measurements were made at a total of 19 different stations used by the Arizona Department of Water Resources (ADWR) to monitor aquifer-storage changes. Data are presented in tabular and spatial vector (point) form, including relevant parameters used for processing. Data were output by g software (Micro-g Lacoste, Inc.) version 9.12.04.23. A correction for laser-frequency drift was applied, based on regular calibration of the HeNe laser used in the A-10 against an iodine-stabilized laser.
thumbnail
Areas of groundwater discharge are hydrologically and ecologically important, and yet are difficult to predict at the river network scale. Thermal infrared imagery can be used to identify areas of groundwater discharge based on an observed temperature anomaly (colder during the late summer or warmer during the late winter). The thermal images, direct temperature measurements (11 cm depth) and discharge zone (seep) location information in this data release were collected as part of a study to evaluate and improve predicted spatial patterns of groundwater discharge. The data were collected during the late summer / early fall of 2017 along selected river reaches in the Farmington River watershed (Connecticut and Massachusetts)....
thumbnail
To support research on remote sensing of rivers, specifically estimation of water depth from passive optical image data, hyperspectral image data and supporting depth measurements were collected on the Kootenai River in northern Idaho, September 27, 2017. This data release provides access to hyperspectral image acquired through this project and the supporting field-based measurements of depth and water column optical properties are available through related data releases. The hyperspectral image data were acquired by Quantum Spatial Inc. (QSI) using the ITRES CASI 1500H imaging system deployed from a Cessna Caravan manned aircraft from a flying height of 1000 m above ground level. Initial geometric and radiometric...
thumbnail
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...
thumbnail
The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic...
thumbnail
The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Assessment Unit, Continuous Assessment Unit, Earth Science, Economic geology, Energy Resources, All tags...


map background search result map search result map Mount Adams Electromagnetic and Magnetic Data Hyperspectral image data from the Kootenai River in northern Idaho, September 27, 2017 USGS National and Global Oil and Gas Assessment Project - Permian Basin Province, Midland Basin, Wolfcamp Shale Assessment Unit Boundaries and Assessment Input Data Forms, Version 2.0 Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 7 (Wyoming), Interim Development: Development delineation: Edwin B. Forsythe NWR, NJ, 2010 points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Edwin B. Forsythe NWR, NJ, 2010 National Assessment of Oil and Gas Project - Utica Shale Unconventional Assessment Active channel in the Lower Virgin River before and after a 40 yr flood (December 2010) Thermal infrared images and direct temperature measurements of groundwater discharge zones throughout the Farmington River watershed (Connecticut and Massachusetts) Data supporting Landsat time series assessment of invasive annual grasses following energy development Absolute gravity data from Pinal County, Arizona, 2019 Whole rock geochemical data from the eastern part of the Yukon-Tanana Upland region, Alaska, USA Density and magnetic properties of selected plutons (granitoids) in the Great Basin, parts of Arizona, California, Idaho, Nevada, Oregon, and Utah North Root NWR, Montana, 2017 Stateline NWR, Montana, 2017 Beaver Lake NWR, North Dakota, 2018 Hydroclimate Projections for Select U.S. Fish and Wildlife Service Properties - Mountain-Prairie Region, 1951-2099 Long-term shoreline change rates for the Virginia coastal region, calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1 Baseline for the North Carolina coastal region from Cape Hatteras to Cape Lookout (NCcentral) Long and short-term shoreline change rate transects for the northern North Carolina coastal region (NCnorth), calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1 Stateline NWR, Montana, 2017 North Root NWR, Montana, 2017 Beaver Lake NWR, North Dakota, 2018 Hyperspectral image data from the Kootenai River in northern Idaho, September 27, 2017 points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Edwin B. Forsythe NWR, NJ, 2010 Active channel in the Lower Virgin River before and after a 40 yr flood (December 2010) Thermal infrared images and direct temperature measurements of groundwater discharge zones throughout the Farmington River watershed (Connecticut and Massachusetts) Long and short-term shoreline change rate transects for the northern North Carolina coastal region (NCnorth), calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1 Baseline for the North Carolina coastal region from Cape Hatteras to Cape Lookout (NCcentral) Absolute gravity data from Pinal County, Arizona, 2019 Long-term shoreline change rates for the Virginia coastal region, calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1 USGS National and Global Oil and Gas Assessment Project - Permian Basin Province, Midland Basin, Wolfcamp Shale Assessment Unit Boundaries and Assessment Input Data Forms, Version 2.0 Whole rock geochemical data from the eastern part of the Yukon-Tanana Upland region, Alaska, USA Data supporting Landsat time series assessment of invasive annual grasses following energy development Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 7 (Wyoming), Interim Density and magnetic properties of selected plutons (granitoids) in the Great Basin, parts of Arizona, California, Idaho, Nevada, Oregon, and Utah National Assessment of Oil and Gas Project - Utica Shale Unconventional Assessment Hydroclimate Projections for Select U.S. Fish and Wildlife Service Properties - Mountain-Prairie Region, 1951-2099