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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...
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:...
High resolution bathymetric, sea-floor backscatter, and seismic-reflection data were collected offshore of southeastern Louisiana aboard the research vessel Point Sur on May 19-26, 2017, in an effort to characterize mudflow hazards on the Mississippi River Delta front. As the initial field program of a research cooperative between the U.S. Geological Survey, the Bureau of Ocean Energy Management, and other Federal and academic partners, the primary objective of this cruise was to assess the suitability of sea-floor mapping and shallow subsurface imaging tools in the challenging environmental conditions found across delta fronts (for example, variably distributed water column stratification and widespread biogenic...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: BOEM,
Bureau of Ocean Energy Management,
CMGP,
Coastal and Marine Geology Program,
Gulf of Mexico,
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,
These data sets are the results of calculations of hazard curves for a grid of points with a spacing of 0.05 degrees in latitude and longitude. They represent the chance of experiencing potentially damaging ground shaking for fixed ground shaking levels that corresponds with MMI = VII. The values are obtained by averaging the probability of experiencing MMI = VII based on a peak ground acceleration value of 0.2152 g for site class D, and the probability of experiencing MMI = VII based on 1.0-second spectral acceleration value of 0.2256 g for site class D. The data are for the Central and Eastern United States.
(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...
This data set consist of digital data describing (ACEC) Areas of Critical and Environmental Concern for Public Lands in the State of Colorado. ACECs are designated by decisions made during BLM Resource Management Planning. Existing ACECs have a Resouce value tied to them. An example of these resources would be: Threatened and Endangered Plants. Other areas of concern have also been captured within this theme. When the users opens up the attribute table for this theme the user will notice ACEC follows most of names for each area. Some BLM field offices also included RNAs and ONAs with in their layer. ONAs are... Outstanding Natural Areas and RNAs are... Research Natural Area The data set was compiled from the most...
The Tocopilla cluster is named for the city of Tocopilla in northern Chile that is on its southern edge. The cluster includes an Mw 6.3 earthquake on September 11, 2020. A few small events that were recorded only locally are included to improve the statistical power of the calibration, but most events are observed to teleseismic distances. All events have depth control from readings at near-source or local distances, and about one third of the events also have teleseismic depth phases readings that are consistent with the inferred depths. Number of events: 48 Calibration type: direct calibration...
This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Georgia. 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 Georgia. 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 conditions...
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,
This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Louisiana. 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 Louisiana. 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 conditions...
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,
Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Accretion,
Breton Islands,
Breton National Wildlife Refuge,
CMGP,
Chandeleur Islands,
Region(s) of distribution of Hamecon (Artediellus scaber) Knipowitsch, 1907 in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic seas where reliable...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alaska,
Arctic,
Arctic,
Artediellus scaber,
Beaufort Sea,
Region(s) of distribution of Saffron Cod (Eleginus gracilis) (Tilesius, 1810) in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic seas where...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: (Tilesius, 1810),
Alaska,
Arctic,
Arctic,
Beaufort Sea,
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