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The U.S. Geological Survey (USGS) is providing a polygon feature class delineating the extent of Glacial Lake Great Bend within the Binghamton East 1:24,000 quadrangle of south-central Broome County, New York, 2020. The shapefile was created and intended for use with geographic information system (GIS) software. A companion report, USGS Scientific Investigations Report 2021-5026 (Van Hoesen and others, 2021; https://doi.org/10.3133/sir20215026) further describes data collection and map preparation.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Aquifer Mapping,
Basin & Hydrogeologic Characterization,
Broome County,
Conklin,
Kirkwood,
The U.S. Geological Survey (USGS) is providing a polygon feature class containing the approximate locations and confining units of the unconfined and confined aquifers within the Binghamton East 1:24,000 quadrangle of south-central Broome County, New York, 2020. The shapefile was created and intended for use with geographic information system (GIS) software. A companion report, USGS Scientific Investigations Report 2021-5026 (Van Hoesen and others, 2021; https://doi.org/10.3133/sir20215026) further describes data collection and map preparation.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Aquifer Mapping,
Basin & Hydrogeologic Characterization,
Broome County,
Conklin,
Kirkwood,
The Denver fossil algae database were gathered from the inception of Denver Region in 1953 by Richard Rezak. His specialty was algae, carbonate platforms, and off-shore modern reefs. He developed a very useful litho-stratigraphic tool while studying Proterozoic algae and stromatolites in Glacier National Park. This lead to his studies of modern analogs in the Caribbean and South Seas. His catalogs were converted into digital form, Excel and Filemaker Pro database. The Catalog consist of 1001 fossil localities. His supplementary data has been added whenever possible - sources field map locality points, E&R files with enhanced faunal lists, as well as formal publications
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Eastern Asia,
USGS Science Data Catalog (SDC),
United States,
algae,
biota,
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Atlantic Coast,
Baseline,
DSAS,
Digital Shoreline Analysis System,
HWL,
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Atlantic Coast,
Baseline,
DSAS,
Digital Shoreline Analysis System,
Mid-Atlantic,
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Atlantic Coast,
Atlantic Coast,
Baseline,
DSAS,
Digital Shoreline Analysis System,
This digital dataset consists of monthly climate data from the Basin Characterization Model v8 (BCMv8) for the updated Central Valley Hydrologic Model (CVHM2) for water years 1922 to 2019. The BCMv8 data are available in a separate data release titled "The Basin Characterization Model - A regional water balance software package (BCMv8) data release and model archive for hydrologic California, water years 1896-2020". The data were modified by: (1) extracting the data from the data source for the relevant model domain and times, and (2) rescaling the 270-meter BCMv8 grid to the small watersheds that contribute boundary flow to the CVHM2 model for the hydrologic variables recharge and runoff. The three data pieces...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
Central Valley,
Climate,
Hydrology,
Potential Evapotranspiration,
Dataset contains the groundwater well locations and water-level measurements for 273 wells measured during a water-level survey of the Sparta-Memphis aquifer in Arkansas, January through June 2015. Well-location and water-level data is publicly available from the U.S. Geological Survey's National Water Information System.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arkansas,
Mississippi Embayment aquifer system,
Sparta-Memphis Sand,
aquifer,
effects of groundwater extraction,
Observations and subtle shifts of vegetation communities in western Lake Erie have USGS researchers concerned about the potential for Grass Carp to alter these vegetation communities. Broad-scale surveys of vegetation using remote sensing and GIS mapping, coupled with on-the-ground samples in key locations will permit assessment of the effect Grass Carp may have already had on aquatic vegetation communities and establish baseline conditions for assessing future effects. Existing aerial imagery was used with object-based image analysis to detect and map aquatic vegetation in the western basin of Lake Erie.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Asian Carp,
Emergent Vegetation,
Erie County,
Grass Carp,
Great Lakes,
Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for developing approaches that balance the needs of humans and native species. Given the magnitude of the threat posed by sea-level rise, and the urgency to better understand it, there is an increasing need to forecast sea-level rise effects on barrier islands. To address this problem, scientists in the U.S. Geological Survey (USGS) Coastal and Marine Geology program are developing Bayesian networks as a tool to evaluate and to forecast the effects of sea-level rise on shoreline change, barrier island geomorphology, and habitat availability for species such as the piping plover (Charadrius melodus)...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Assateague Island,
Assateague Island,
Assateague Island National Seashore,
Assateague Island National Seashore,
Atlantic Ocean,
This dataset is a polygon shapefile delineating the footprint of bathymetric data collected in October, 2021 for an approximately 500 meter (m) reach of the Kalamazoo River upstream of Plainwell, Michigan (MI). Bathymetric data in the river channel were collected with a single beam sonar and Acoustic Current Doppler Profiler operated along 2 longitudinal transects and 48 cross-sectional transects, respectively.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Great Lakes,
bathymetry,
digital elevation models,
elevation,
f26077 = Kalamazoo,
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Atlantic Coast,
Baseline,
DSAS,
Digital Shoreline Analysis System,
North Carolina,
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Atlantic Coast,
Baseline,
DSAS,
Digital Shoreline Analysis System,
North Carolina,
South of Interstate 40 mule deer reside in Game Management Units (GMU) 8 and 6B in Arizona. The herd summers in high-elevation open meadows and ponderosa pine habitat southwest of Flagstaff, Arizona. In late October, the herd migrates west to lower elevation pinyon-juniper and shrub habitats near the junction of Interstate 40 and U.S. Highway 89. With funding support by the U.S. Department of the Interior (USDI) through Secretarial Order 3362, research on this herd’s migration began in February 2020. Additional GPS collars were deployed in January 2022 with support from the U.S. Forest Service, Mule Deer Foundation, and other partners. Primary threats to the herd’s migration involve high volume roads including Interstate...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arizona,
Ash Fork,
Bellemont,
Flagstaff,
Parks,
The Siskiyou mule deer herd migrates from winter ranges primarily north and east of Mount Shasta (i.e., Day Bench, Lake Shastina, Montague, Mount Dome, Mount Hebron, Sheep-Mahogany Mountain, Tionesta, and Wild Horse Mountain) to sprawling summer ranges scattered between the Mount Shasta Wilderness in the west and the Burnt Lava Flow Geological Area in the east. A small percentage of the herd are residents, residing largely within winter ranges across the central and northeast areas of the herd’s annual distribution. The total population size of the Siskiyou herd is unknown, but adult deer densities averaged 6.01 deer per km2 on summer ranges in 2017 and 5.16 deer per km2 on winter ranges in 2019 (Wittmer and others,...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
Mount Shasta,
United States,
animal behavior,
biota,
Mule deer within the Jackson segment of the Sublette herd winter mainly in the valley and south-facing slopes of the buttes. These geologic features are characteristic of the Jackson Hole area near Jackson, Wyoming. Winter ranges in the Jackson valley are a mixture of national forest public land as well as private urban and exurban land. The lower elevation, south-facing hillslopes are typified by stands of Juniperus scopulorum (Rocky Mountain juniper) or mixed mountain shrub communities of Artemisia tridentata (mountain big sagebrush), Artemisia tripartite (three-tip sagebrush), Purshia tridentata (antelope bitterbrush), Amelanchier alnifolia (Saskatoon serviceberry), Symphoricarpos albus (common snowberry), chokecherry,...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Jackson,
United States,
Wyoming,
animal behavior,
biota,
A model of the lower seismogenic depth distribution of earthquakes in the western United States was developed to support models for seismic hazard assessment that will be included in the 2023 USGS National Seismic Hazard Model. This data release presents a recalibration using the hypocentral depths of events M>1 from the Advanced National Seismic System Comprehensive Earthquake Catalog from 1980 to 2021. For higher precision and better resolution in the model, the data were supplemented with seismicity from southern California that was relocated by Hauksson and others (2012). Along the San Andreas Fault, the deepest seismogenic depths are located at 23 km around the Cholame segment, whereas the shallowest depths...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Geophysics,
Seismology,
USGS Science Data Catalog (SDC),
United States,
earthquake occurrences,
This data release provides digital flight-line and gridded data for a high-resolution airborne magnetic and radiometric survey over the region surrounding the Wet Mountains of southern Colorado, including parts of Custer and Fremont Counties. Data for this survey were collected by Sander Geophysics Limited International (SGL) under contract with the USGS. The survey was flown in June and July of 2021 using a helicopter equipped with a magnetometer mounted in a stinger extending from the nose of the aircraft and a gamma-ray spectrometer stowed onboard. The helicopter pilots followed pre-planned flight paths in a grid-like pattern, with east-west lines spaced 150 meters apart and north-south lines spaced 1,000 meters...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: "Mineral Resources"],
AASG,
Antelope Creek,
Arkansas River,
Association of State Geologists,
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. While a crosswalk was used to update the 1989 LCU database (originally developed using a different classification system), the 2000, 2010/11, and 2020 LCU databases share the same classification, making them directly comparable from a classification standpoint. Furthermore, protocols...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Iowa,
USGS-EMA-LOW-MR Landscape Ecology,
USGS-EMA-LOW-PL Mississippi River,
Wisconsin,
aquatic vegetation,
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 two new mean high water (MHW) shorelines extracted from lidar data collected in 2010 and 2017-2018. Previously published historical shorelines for South Carolina (Kratzmann and others, 2017)...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Atlantic Coast,
Atlantic Coast,
Baseline,
DSAS,
Digital Shoreline Analysis System,
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