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The national dataset was clipped to the WLCI envelope by USGS staff. No other processing was performed on the dataset. This map layer is commonly called Bailey's ecoregions and shows ecosystems of regional extent in the United States, Puerto Rico, and the U.S. Virgin Islands. Four levels of detail are included to show a hierarchy of ecosystems. The largest ecosystems are domains, which are groups of related climates and which are differentiated based on precipitation and temperature. Divisions represent the climates within domains and are differentiated based on precipitation levels and patterns as well as temperature. Divisions are subdivided into provinces, which are differentiated based on vegetation or other...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: acid rain,
animal/plant,
biotic,
ecosystem,
elevation,
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 here 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...
This is a background layer map service from NOAA's nowCOAST information depot. Note: details may only visible at fine scales (zoom in to view).
Monthly and annual average solar resource potential for 48 Contiguous United States. This data provides monthly average and annual average daily total solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. This data was developed using the State University of New York/Albany satellite radiation model. This model was developed by Dr. Richard Perez and collaborators at the National Renewable Energy Laboratory and other universities for the U.S. Department of Energy. Specific information about this model can be found in Perez, et al. (2002). This model uses hourly radiance images from geostationary weather satellites, daily snow cover data, and monthly averages...
This dataset depicts the cooperative interagency 1:24,000 scale land ownership status for the State of Utah. Administrative ownership polygons are updated by The State of Utah School and Institutional Trust Lands Administration (SITLA) and the United States Bureau of Land Management (BLM) Salt Lake City office on a regular basis. Revisions are posted monthly. This data was originally digitized for the 1993 U. S. Fish and Wildlife Utah GAP Analysis project by the Remote Sensing and GIS Laboratories, Department of Geography and Earth Resources, Utah State University (RSGIS/USU). Maintenance of this data layer is performed by a cooperative federal and state effort. The Utah School and Institutional Trust Lands Administration...
The Chiles cluster is named for Chiles Volcano in northern Ecuador. The cluster is composed mainly of earthquakes associated with a seismic crisis at the volcano in 2014, including a 6.0 mb event on October 20, 2014. About half the events are recorded at teleseismic distances. The station coverage is reasonably good and all events have depth control. Number of events: 31 Calibration type: direct calibration using data to 1.0 degrees; hypocentroid calibration level = 1.8 km Epicentral calibration range: 2 - 4 km Date range: 19970219 - 20150124 Latitude range: 0.439 - 1.250 Longitude range:...
Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
CRS,
California,
Climate,
Colorado,
Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
CRS,
California,
Climate,
Colorado,
Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
CRS,
California,
Climate,
Colorado,
This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of South Dakota. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of South Dakota. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of...
Categories: Data;
Types: ArcGIS REST Map Service,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Anthropogenic factors,
Aquatic habitats,
Atlantic Coast FHP,
Catchment areas,
Connecticut,
(Hyperlink to Official Landing Page for Geospatial Fabric products)
(Hyperlink to Official Landing Page for Geospatial Fabric products)
The Nurek cluster is named for the Nurek Dam and Reservoir along the Vakhsh River in Tajikistan. The cluster includes several earthquakes in the low-5 magnitude range. Most of the seismicity appears to be associated with the reservoir and some of the seismicity may have been induced by the filling of the reservoir. It is notable that the the period 1999-2010 produced no earthquakes large enough to be included in the cluster. Number of events: 43 Calibration type: direct calibration using data to 1.2 degrees; hypocentroid calibration level = 1.2 km Epicentral calibration range: 2 - 5 km Date...
Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset provides coverage for future climate (defined as the 2040-2070 normal period) under the RCP4.5 emission scenarios. Climate variables were chosen based on their known influence on local adaptation in plants, and include: mean annual temperature, summer maximum temperature, winter minimum temperature, annual temperature range, temperature seasonality (coefficient of variation in monthly average temperatures), mean annual precipitation, winter precipitation, summer precipitation, proportion of summer precipitation, precipitation...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
California,
Colorado,
Colorado Plateau,
Great Basin,
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