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This dataset is a polygon coverage of counties limited to the extent of the Fire Clay coal zone resource areas and attributed with remaining resources (millions of short tons) in aggregated reporting categories as described in USGS Circular 891. The file has been generalized from detailed geologic coverages found elsewhere in Professional Paper 1625-C. This resource model for the Fire Clay coal zone must be considered provisional, because the correlation of the zone continues to be evaluated in West Virginia.
Categories: Data,
pre-SM502.8;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Appalachians,
BELL County,
BOONE County,
BREATHITT County,
CLAY County,
The U.S. Geological Survey (USGS) has compiled a geodatabase containing mineral-related geospatial data for the People's Republic of China. The data can be used in analyses of the extractive fuel and nonfuel mineral industries and related economic and physical infrastructure integral for the successful operation of the mineral industries within the area of study as well as the movement of mineral products across domestic and global markets. This geodatabase reflects the USGS ongoing commitment to its mission of understanding the nature and distribution of global mineral commodity supply chains by updating and publishing the georeferenced locations of mineral commodity production and processing facilities, mineral...
The Last of the Wild represents the least influenced (most wild) areas of major terrestrial biomes. Most wild in each biome are defined as areas with Human Footprint Index values less than or equal to 10. The map shows the distribution of what remains the least influenced areas in each biome. The Last of the Wild Dataset of the Last of the Wild Project, Version 2, 2005 (LWP-2) is derived from the LWP-2 Human Footprint Dataset. The gridded data are classified according to their raster value (wild = 0-10; not wild >10). The ten largest polygons of more than 5 square kilometers within each biome by realm are selected and identified. The dataset is produced by the Wildlife Conservation Society (WCS) and the Columbia...
The State of Alaska's Strategic and Critical Minerals (SCM) Assessment project, a State-funded Capital Improvement Project (CIP), is designed to evaluate Alaska's statewide potential for SCM resources. The SCM Assessment is being implemented by the Alaska Division of Geological & Geophysical Surveys (DGGS), and involves obtaining new airborne-geophysical, geological, and geochemical data. For the geochemical part of the SCM Assessment, thousands of historical geochemical samples from DGGS, U.S. Geological Survey (USGS), and U.S. Bureau of Mines archives are being reanalyzed by DGGS using modern, quantitative, geochemical-analytical methods. The objective is to update the statewide geochemical database to more clearly...
This report presents 40Ar/39Ar step-heating geochronology results for igneous and metamorphic rocks from the Alaska Division of Geological & Geophysical Surveys' (DGGS) Wrangellia Mineral Assessment project, part of a multi-year effort focusing on improving the publicly available geoscientific information for the western Wrangellia terrane. The samples described in this report were selected and analyzed to improve our understanding of the geology and structural history of the Wrangellia Mineral Assessment project area. A metagabbro rock sample returned a Late Triassic crystallization age consistent with regional ages for Nikolai Greenstone-related magmatism; however, the two amphibole separates ages do not overlap,...
As electricity demand increases, policymakers must make decisions about which energy resources will meet future demands. Much of the recent literature has focused on the contribution of new coal power plants to carbon emissions (Milford et al., 2005; Milford et al., 2007; MIT 2007). However, policymakers and industry are increasingly interested in job creation and economic development analyses to understand the full impacts of new electricity generation projects.1 Additionally, economic development impacts are often a critical piece in building public support for wind power projects. The purpose of this research is to look at the specific factors that drive wind-power-related economic development and to better understand...
We have developed a state-scale version of the MARKAL energy optimization model, commonly used to model energy policy at the US national scale and internationally. We apply the model to address state-scale impacts of a renewable electricity standard (RES) and a carbon tax in one southeastern state, Georgia. Biomass is the lowest cost option for large-scale renewable generation in Georgia; we find that electricity can be generated from biomass co-firing at existing coal plants for a marginal cost above baseline of 0.2-2.2 cents/kWh and from dedicated biomass facilities for 3.0-5.5 cents/kWh above baseline. We evaluate the cost and amount of renewable electricity that would be produced in-state and the amount of out-of-state...
This dataset was developed for the BLM Rapid Ecoregional Assessment for the Central Yukon and contains a database of descriptions of historic (inactive and closed) mines based on the Alaska Resource Data File (ARDF).
This dataset was developed for the BLM Rapid Ecoregional Assessment for the Central Yukon and contains a database of descriptions of active mines based on the Alaska Resource Data File (ARDF).
This dataset contains the physical collection information (e.g., sample location, date, gear type) and microsatellite DNA genotype of egg and larval Lake Sturgeon collected in the St. Clair and Detroit rivers in 2015 and 2016. Individuals were genotyped for 18 microsatellite loci (13 disomic and 5 polysomic). Alleles (base pair sizes) were recorded as presence absence scores (1:present, 2:absent, 0:missing data) for all previously observed alleles. Thus individual genotypes were recorded as pseudo diploid dominant phenotypes resulting in individual vectors of length n=205 for each genotyped egg or larval individual.
Categories: Data;
Tags: Acipenser,
Acipenser fulvescens,
Acipenseridae,
Anthropogenic,
Anthropogenic Rock,
This dataset is a point coverage of attributes on data location, thickness of the Pond Creek coal bed main bench, and its elevation, in feet. The file is also found as an ASCII Appendix of Chapter G, Disc 1 found elsewhere in Professional Paper 1625-C.
Categories: Data,
pre-SM502.8;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Appalachians,
BELL County,
BOONE County,
BREATHITT County,
BUCHANAN County,
This ArcView shapefile contains a polygon representation of numerous themes for the Knobloch coal resource assessment unit. These themes are listed in the process steps. Its sole purpose is to allow the users to perform multiple theme queries. This theme was created specifically for the National Coal Resources Assessment in the Northern Rocky Mountains and Great Plains Region.
Categories: Data,
pre-SM502.8;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Ashland Coalfield,
Knobloch Assessment Unit,
Montana,
Northern Rocky Mountain and Great Plains Fort Union Coal Resources Assessment,
Northern Rocky Mountain and Great Plains Fort Union Coal Resources Assessment,
The State of Alaska's Strategic and Critical Minerals (SCM) Assessment project, a State-funded Capital Improvement Project (CIP), is designed to evaluate Alaska's statewide potential for SCM resources. The SCM Assessment is being implemented by the Alaska Division of Geological & Geophysical Surveys (DGGS), and involves obtaining new airborne-geophysical, geological, and geochemical data. For the geochemical part of the SCM Assessment, thousands of historical geochemical samples from DGGS, U.S. Geological Survey (USGS), and U.S. Bureau of Mines archives are being reanalyzed by DGGS using modern, quantitative, geochemical-analytical methods. The objective is to update the statewide geochemical database to more clearly...
The State of Alaska's Strategic and Critical Minerals (SCM) Assessment project, a State-funded Capital Improvement Project (CIP), is designed to evaluate Alaska's statewide potential for strategic and critical mineral resources. The SCM Assessment project is being implemented by the Alaska Division of Geological & Geophysical Surveys (DGGS), and involves obtaining new airborne-geophysical, geological, and geochemical data. For the geochemical part of the SCM Assessment project, thousands of geochemical-sample analyses and locations from historical U.S. Bureau of Mines (USBM), U.S. Geological Survey (USGS), Bureau of Land Management (BLM), DGGS, Alaska Territorial Department of Mines, Alaska Division of Mines and...
This 1:50,000 scale geologic map describes the distribution of unconsolidated deposits, identifies local geologic hazards, and provides information about the depositional environment and basic engineering properties of common surficial-geologic materials in and around Shaktoolik, Alaska. Map units are the result of combined field observations and aerial imagery interpretation. A suite of local ground observations were collected over a two-week period in July 2011 by a helicopter-supported team of DGGS geologists and collaborators. Field investigations included soil test pits, sample collection, soil and rock description, oblique aerial photography, and documentation of landscape morphology.
The Last of the Wild represents the least influenced (most wild) areas of major terrestrial biomes. Most wild in each biome are defined as areas with Human Footprint Index values less than or equal to 10. The map shows the distribution of what remains the least influenced areas in each biome. The Last of the Wild Dataset of the Last of the Wild Project, Version 2, 2005 (LWP-2) is derived from the LWP-2 Human Footprint Dataset. The gridded data are classified according to their raster value (wild = 0-10; not wild >10). The ten largest polygons of more than 5 square kilometers within each biome by realm are selected and identified. The dataset is produced by the Wildlife Conservation Society (WCS) and the Columbia...
The Last of the Wild represents the least influenced (most wild) areas of major terrestrial biomes. Most wild in each biome are defined as areas with Human Footprint Index values less than or equal to 10. The map shows the distribution of what remains the least influenced areas in each biome. The Last of the Wild Dataset of the Last of the Wild Project, Version 2, 2005 (LWP-2) is derived from the LWP-2 Human Footprint Dataset. The gridded data are classified according to their raster value (wild = 0-10; not wild >10). The ten largest polygons of more than 5 square kilometers within each biome by realm are selected and identified. The dataset is produced by the Wildlife Conservation Society (WCS) and the Columbia...
The coverage denotes areas which are known boundaries for coal development sites.
Abstract: This cached NAIP 2006 aerial photography service for Wyoming can be added to ESRI GIS as an IMS. The service provides access to the NAIP 2006 aerial photography for Wyoming. USE CONSTRAINTS: Users should follow use constraints found for each data layer available in the mapping service. Visit the Wyoming GeoLibrary for original metadata. WYGISC DOES NOT GUARANTEE 24/7 SUPPORT OF ITS UNFUNDED, FREE MAPPING SERVICES. WyGISC reserves the right to remove access to these services at any time.
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