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A polygon dataset of current road footprints in the SNK REA derived from the Alaska Department of Natural Resources infrastructure data (see the process steps for details). (This data depicts infrastructure locations in Alaska as digitized primarily from 1:24,000, 1:63,360, and 1:250,000 USGS quadrangles. The source document that represented the newest information and best geographic location was used to capture the data. All infrastructure from the primary source document was digitized and then supplemented with the information from other source documents for additional or updated infrastructure or attributes.)
This data depicts random points generated within ESRI modelbuilder. The methodology to generate these points is documented within the Current Subsistence toolbox, model: YKL_DV_B_C_Subsistence_Step1_RiverSegments.
A line dataset of current (abandoned) and future railroads in the SNK REA - derived from the Alaska Infrastructure 1:63,360 line data set with modifications (see the process steps for details). This data depicts infrastructure locations in Alaska as digitized primarily from 1:24,000, 1:63,360, and 1:250,000 USGS quadrangles. The source document that represented the newest information and best geographic location was used to capture the data. All infrastructure from the primary source document was digitized and then supplemented with the information from other source documents for additional or updated infrastructure or attributes.
Population range for each city/town. pop_5: 100,001 -1,000,000 U.S. Populated Place Points represents populated places that include census designated places, consolidated cities, and incorporated places within United States identified by the U.S. Census Bureau.
Some of the YKL rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - As a final measure of potential human impacts to the ecoregions, the impacts of current and long term potential anthropogenic development are summarized in a 60 x 60 m grid by the landscape condition model (LCM). The LCM weights the relative influence of different types of human footprints based on factors like permanence,...
Rail road lines within the Wyoming Basin project area. Data origin Federal Railroad Administration (FRA). The Rail Network is a comprehensive database of the nation's railway system at the 1:100,000 scale or better
Locations of landfills and waste transfer stations in the Central Great Basin Ecoregion taken from a larger data set of 11 western states. USGS/SAGEMAP obtained this data from state and federal agencies in GIS, tabular, and map format. The primary contact for this the source data set is Steve Hanser, USGS-FRESC, Snake River Field Station, Boise, ID Not intended for use at scales greater than 1:250000
A polygon dataset of current and future community footprints in the SNK REA derived from the Tiger/Line File with modification (see the process steps for details). (The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The TIGER/Line Files include both incorporated places...
Types: Downloadable;
Tags: Anthropology,
BLM,
Bureau of Land Management,
CDP,
Census Designated Place,
Some of the YKL rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - To provide a more comprehensive measure of potential impacts to the ecoregions, we summarize all the potential impacts to Conservation Elements (CEs) generalized to the 5th-level hydrologic units under what we call the Cumulative Impacts assessment. The measurement of cumulative impacts has become increasingly emphasized both...
The 576 abstracted references on nuclear facility decommissioning, uranium mill tailings management, and site remedial actions constitute the tenth in a series of reports prepared annually for the U.S. Department of Energy's Remedial Action Programs. Citations to foreign and domestic literature of all types—technical reports, progress reports, journal articles, symposia proceedings, theses, books, patents, legislation, and research project descriptions—have been included. The bibliography contains scientific, technical, economic, regulatory, and legal information pertinent to the U.S. Department of Energy's Remedial Action Programs. Major sections are (1) Surplus Facilities Management Program, (2) Nuclear Facilities...
Categories: Publication;
Types: Citation;
Tags: Nuclear,
action,
decommissioning,
facility,
remedial,
The 576 abstracted references on nuclear facility decommissioning, uranium mill tailings management, and site remedial actions constitute the tenth in a series of reports prepared annually for the U.S. Department of Energy's Remedial Action Programs. Citations to foreign and domestic literature of all types—technical reports, progress reports, journal articles, symposia proceedings, theses, books, patents, legislation, and research project descriptions—have been included. The bibliography contains scientific, technical, economic, regulatory, and legal information pertinent to the U.S. Department of Energy's Remedial Action Programs. Major sections are (1) Surplus Facilities Management Program, (2) Nuclear Facilities...
Categories: Publication;
Types: Citation;
Tags: Nuclear,
action,
decommissioning,
facility,
remedial,
The 576 abstracted references on nuclear facility decommissioning, uranium mill tailings management, and site remedial actions constitute the tenth in a series of reports prepared annually for the U.S. Department of Energy's Remedial Action Programs. Citations to foreign and domestic literature of all types—technical reports, progress reports, journal articles, symposia proceedings, theses, books, patents, legislation, and research project descriptions—have been included. The bibliography contains scientific, technical, economic, regulatory, and legal information pertinent to the U.S. Department of Energy's Remedial Action Programs. Major sections are (1) Surplus Facilities Management Program, (2) Nuclear Facilities...
Categories: Publication;
Types: Citation;
Tags: Nuclear,
action,
decommissioning,
facility,
remedial,
Existing Source Dataset without metadata. For information about this dataset, please see: http://wireless.fcc.gov/geographic/index.htm?job=licensing_database_extracts These data were reprojected to USA_Contiguous_Albers_Equal_Area_Conic_USGS_version and clipped to the MAR REA boundary.
This layer represents lines which have been proposed (per the requirements of Section 368 of the Energy Policy Act of 2005) as West-wide energy corridor centerlines for the final "Programmatic Environmental Impact Statement, Designation of Energy Corridors on Federal Land in the 11 Western States", November 2008. The layer was intersected with surface management agency, BLM field office, and state layers to add more tabular attributes.
The Rail Network is a comprehensive database of the nation's railway system at the 1:100,000 scale. The data set covers all 50 States plus the District of Columbia.
The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes...
Types: Downloadable;
Tags: Address Range,
BLM,
Bureau of Land Management,
County or equivalent entity,
DOI,
Current permanent line features such as existing roads, trails, and river corridors used in transportation networks. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. The BLM should be cited as the data source...
The use of scenarios was identified by the NSSI Oversight Group as a potentially important tool in helping identify future research and monitoring needs. Scenarios can provide a means to identify a plausible range of pathways by which an uncertain future may unfold. In that way, they can then be used to help guide agency considerations for how to effectively target research and monitoring efforts in a manner that will be most useful for resource management decision-making under uncertain future conditions. A collaboration to undertake that scenarios project was formed between NSSI, the University of Alaska Fairbanks, and GeoAdaptive, LLC, an internationally experienced geospatial scenarios consultant. This dataset...
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