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This dataset “Broad-scale assessment of biophysical features in Colorado: Soil salinity using electrical conductance” presents information extracted from the Natural Resources Conservation Service (NRCS) gridded surface soils geographic database (gSSURGO). Fields retained and presented here include map unit (MU) codes and component (COMP) codes that may be used to reference records in the original, NRCS, data. Soil salinity is typically measured and evaluated based on electrical conductance (EC), and values presented here include the representative value for the map unit component (ECR) and the highest estimated value (ECH). Soils with high salinity can affect the composition of vegetation and can limit production...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Colorado,
geoscientificInformation,
salinity,
soil chemistry,
soil sciences
We developed spatial summary (GIS) layers for a study of factors influencing the distribution of cave and karst associated fauna within the Appalachian Landscape Conservation Cooperative region, one of 22 public-private partnerships established by the United States Fish and Wildlife Service to aid in developing landscape scale solutions to conservation problems (https://lccnetwork.org/lcc/appalachian). We gathered occurrence data on cave-limited terrestrial and aquatic troglobiotic species from a variety of sources within the Appalachian LCC region covering portions of 15 states. Occurrence records were developed from the scientific literature, existing biodiversity databases, personal records of the authors, museum...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: biota,
caves,
karst
We developed spatial summary (GIS) layers for a study of factors influencing the distribution of cave and karst associated fauna within the Appalachian Landscape Conservation Cooperative region, one of 22 public-private partnerships established by the United States Fish and Wildlife Service to aid in developing landscape scale solutions to conservation problems (https://lccnetwork.org/lcc/appalachian). We gathered occurrence data on cave-limited terrestrial and aquatic troglobiotic species from a variety of sources within the Appalachian LCC region covering portions of 15 states. Occurrence records were developed from the scientific literature, existing biodiversity databases, personal records of the authors, museum...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: biota,
caves,
karst
Cave and Karst Biota Modeling in the Appalachian LCC - Predicted endemics in sampled 20km grid cells
We developed spatial summary (GIS) layers for a study of factors influencing the distribution of cave and karst associated fauna within the Appalachian Landscape Conservation Cooperative region, one of 22 public-private partnerships established by the United States Fish and Wildlife Service to aid in developing landscape scale solutions to conservation problems (https://lccnetwork.org/lcc/appalachian). We gathered occurrence data on cave-limited terrestrial and aquatic troglobiotic species from a variety of sources within the Appalachian LCC region covering portions of 15 states. Occurrence records were developed from the scientific literature, existing biodiversity databases, personal records of the authors, museum...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: biota,
caves,
endemic species,
karst
Crop cover maps have become widely used in a range of research applications. Multiple crop cover maps have been developed to suite particular research interests. The National Agricultural Statistics Service (NASS) Cropland Data Layers (CDL) are a series of commonly used crop cover maps for the conterminous United States (CONUS) that span from 2008-2013. In this investigation we wanted to expand the temporal coverage of the NASS CDL archive back to 2000 by creating yearly NASS CDL-like crop cover maps derived from a classification tree model algorithm. We used over 11 million crop sample records to train a classification tree algorithm and to develop a crop classification model (CCM). The model was used to create...
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Conterminous United States,
Crop Cover,
Cropland Data Layers,
Decision Tree Classifier,
NASS CDL
The basis for these features is U.S. Geological Survey Scientific Investigations Report 2017-5024 Flood Inundation Mapping Data for Johnson Creek near Sycamore, Oregon. The domain of the HEC-RAS hydraulic model is a 12.9-mile reach of Johnson Creek from just upstream of SE 174th Avenue in Portland, Oregon, to its confluence with the Willamette River. Some of the hydraulics used in the model were taken from Federal Emergency Management Agency, 2010, Flood Insurance Study, City of Portland, Oregon, Multnomah, Clackamas, and Washington Counties, Volume 1 of 3, November 26, 2010. The Digital Elevation Model (DEM) utilized for the project was developed from lidar data flown in 2015 and provided by the Oregon Department...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Johnson Creek,
Portland, Oregon,
Willamette Valley,
digital elevation models,
floods,
This dataset consists of the boundary extent used to evaluate regolith thickness, bedrock altitude, depth to water, potentiometric-surface altitude, and saturated thickness for the shallow groundwater system in the Lower Gunnison River Basin, in Delta, Montrose, Ouray, and Gunnison Counties, Colorado. The U.S. Geological Survey prepared this dataset in cooperation with the Colorado Water Conservation Board.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Colorado,
Delta,
Gunnison,
Montrose,
Ouray,
This is a model showing general habitat diversity, including both the structural and cover type diversity. See Open File Report, Rasmussen and Shafroth, Colorado River Conservation Planning for geoprocessing details.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arches National Park,
Canyonlands National Park,
Colorado River,
Grand County,
Moab,
The Toktogul cluster is named for town of Toktogul, Kyrgyzstan, and the nearby Reservoir of the same name. The cluster is divided into two subclusters, one north of the reservoir and one to the south. The cluster includes the Ms 7.3 earthquake on August 18, 1992 that devastated the town of Susamyr about 40 km to the east, and a half-dozen of the larger aftershocks. On December 22, 2009 a large (4.4 mb) chemical explosion was used in the construction of the hydroelectric dam that created the Toktogul Reservoir. The shot, known as "Kambarata" and included in the cluster, was well instrumented and serves as a calibration event for the cluster. Calibration of the cluster is done with direct calibration, but the ground...
This dataset represents an update to U.S. Geological Survey Data Series 597. Locations and attributes of wind turbines in Colorado, 2009 (available at http://pubs.usgs.gov/ds/597/). This updated Colorado wind turbine Data Series provides geospatial data (fig. 1) for all 1,204 wind turbines established within the State of Colorado as of September 2011, an increase of 297 wind turbines from 2009.Attributes specific to each turbine include: turbine location, manufacturer and model, rotor diameter, hub height, rotor height, potential megawatt output, land ownership, county, and development status of the wind turbine. Wind energy facility data for each turbine include: facility name, facility power capacity, number of...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Colorado,
Energy Development,
Renewable Energy,
USA,
United States,
Hillshade of lidar-derived, bare earth digital elevation model, with 235-degree azimuth and 20-degree sun angle, 0.25m resolution, depicting earthquake effects following the August 24, 2014 South Napa Earthquake.
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: California,
Napa,
Napa County,
San Francisco Bay,
earthquake occurrences,
Orthophotos combine the image characteristics of a photograph with the geometric qualities of a map. The primary digital orthophotoquad (DOQ) is a 1-meter ground resolution, quarter-quadrangle (3.75-minutes of latitude by 3.75-minutes of longitude) image cast on the Universal Transverse Mercator Projection (UTM) on the North American Datum of 1983 (NAD83).The geographic extent of the DOQ is equivalent to a quarter-quad plus The overedge ranges a minimum of 50 meters to a maximum of 300 meters beyond the extremes of the primary and secondary corner points. The overedge is included to facilitate tonal matching for mosaicking and for the placement of the NAD83 and secondary datum corner ticks. The normal orientation...
This soil mapping application displays interactive national maps of soil series extents based on the land area of mapped soils. The information presented has been created from a snapshot of data extracted from the Soil Data Mart and Soil Classification File Database. Due to the update interval and certain assumptions made when assembling the data, these maps are suited for general information exploration and not intended for site-specific investigations. Questions concerning detailed local soil resources should be directed to your local Natural Resources Conservation Service.
A layer of the genereal location of rest areas and information centers known by WyDOT within the state of Wyoming
Categories: Data;
Types: Downloadable;
Tags: Highways,
Information Center,
Rest Area,
Tourism,
Wyoming,
Categories: Data;
Types: ArcGIS Map Package,
ArcGIS REST Map Service,
Downloadable,
Map Service;
Tags: Great Northern Landscape Conservation Cooperative,
LCC
Annual average wind resource potential for the state of New Mexico, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 12, datum WGS 84 projection system.
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