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The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public. The GNIS is the official repository of domestic geographic names data; the official vehicle for geographic names use by all departments of the Federal Government; and the source for applying geographic names to Federal electronic and printed products of all types. See http://geonames.usgs.gov for additional information.
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The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public. The GNIS is the official repository of domestic geographic names data; the official vehicle for geographic names use by all departments of the Federal Government; and the source for applying geographic names to Federal electronic and printed products of all types. See http://geonames.usgs.gov for additional information.
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The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public. The GNIS is the official repository of domestic geographic names data; the official vehicle for geographic names use by all departments of the Federal Government; and the source for applying geographic names to Federal electronic and printed products of all types. See http://geonames.usgs.gov for additional information.
The Rio Grande/Río Bravo is the lifeline of the region, including the Chihuahuan Desert, supplying drinking water for more than 6 million people, including numerous Native American tribes, and irrigating about 2 million acres of land. The river also forms about 1250 miles of the international border between the United States and Mexico from El Paso/Ciudad Juarez to the Gulf of Mexico. The Rio Grande/Río Bravo and its tributaries are increasingly stressed by growing water demands, invasive species, and alterations that impact its flow and water quality.These stressors are likely to be exacerbated by extreme droughts and floods.The South Central Climate Science Center (SC CSC) has funded projects to synthesize the...
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A limited amount of valid scientific information about global climate change and its detrimental impacts has reached the public and exerted a positive impact on the public policy process or future planning for adaptation and mitigation. This project was designed to address this limitation by bringing together expertise in the social and communication sciences from targeted academic institutions affiliated with the Department of the Interior’s Climate Science Centers (CSCs) through a workshop. The project team brought together expertise in the social and communication sciences from targeted academic institutions, particularly experts and scholars who are affiliated with the nation’s CSCs, by means of an invited...
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This map layer consists of federally owned or administered lands of the United States, Puerto Rico, and the U.S. Virgin Islands. For the most part, only areas of 320 acres or more are included; some smaller areas deemed to be important or significant are also included. There may be private inholdings within the boundaries of Federal lands in this map layer. Some established Federal lands which are larger than 320 acres are not included in this map layer, because their boundaries were not available from the owning or administering agency.
Tags: Air Force, Alabama, Alaska, Arizona, Arkansas, All tags...
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This map layer shows Indian lands of the United States. For the most part, only areas of 320 acres or more are included; some smaller areas deemed to be important or significant are also included. Federally-administered lands within a reservation are included for continuity; these may or may not be considered part of the reservation and are simply described with their feature type and the administrating Federal agency. Some established Indian lands which are larger than 320 acres are not included in this map layer because their boundaries were not available from the owning or administering agency.
Tags: Alabama, Alaska, Arizona, Arkansas, BIA, All tags...
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U.S. Cities represents locations for cities within United States with populations of 10,000 or greater (based on Census 2000 figures), all state capitals, and the national capital.
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This dataset provides an estimate of water-based recreation travel corridors, based on a combination of wild and scenic rivers, and major rivers selected from NHD that were listed on the BLM rivers website. All reaches of these rivers were selected, as insufficient information exists to determine what segments may or may not be open to recreation. Other areas may be open to water-based recreation travel than are represented in this dataset.
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This dataset provides an estimate of water-based recreation travel corridors, based on a combination of wild and scenic rivers, and major rivers selected from NHD that were listed on the BLM rivers website. All reaches of these rivers were selected, as insufficient information exists to determine what segments may or may not be open to recreation. Other areas may be open to water-based recreation travel than are represented in this dataset.
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This dataset provides a measure of near-term high development, as an integration of several factors representing landscape development. This measure was calculated using a fuzzy logic model, which is represented in graphical format in \Vector\Change_Agents\Development\Documentation\COP_DV_logic_models.pptx This dataset represents the combination of energy, agriculture, urban, and recreation development. Original source data were summarized to 4KM reporting unit, and converted to fuzzy values (rescaled on a -1 to 1 value range) for input to the fuzzy logic model. These data include: utility lines, pipelines (from BLM), oil/gas wells (from BLM), oil/gas well anticipated development (from Holly Copeland 2009), mines...
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This feature class Describes the spatial location of recreation sites within or in close proximity to an administrative unit. Recreation sites are stored in three feature classes. The feature class Recreation_Site_pt represents recreation sites so small they are displayed as points, Recreation_Site_pl represents recreation sites large enough to be represented by area features, and Recreation_Site_ln represents recreation sites that are represented by lines. Any type of recreation site may be contained in any of the feature classes but any given recreation site must be contained in only one of the three feature classes. Recreation sites are grouped hierarchically. For example, a campground may be composed of many...
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This dataset represents recreation sites extracted from Utah BLM FAMS. Utah BLM data extracted from the Facilities Asset Management System (FAMS). This dataset contains administrative and recreation related assets, including campgrounds, trail heads, etc. For more information about FAMS, see this website: http://web.blm.gov/lrpo/fams/index.html
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This dataset depicts developed recreation sites from the BLM Kingman Field Office. This dataset was provided directly by BLM Arizona State Office to Conservation Biology Institute (CBI) without metadata. Information contained in this dataset record was completed by CBI.
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This dataset depicts recreation sites compiled for BLM and USFS lands. Due to a general lack of quality recreation site information, this dataset likely under-represents the distribution and density of recreation sites, and only contains recreation sites on public lands. Additional recreation sites likely occur on state, local, and privately-owned land, but no data were available at the time of this REA. Recreation sites may have varying areas of impact, as some recreation sites may be large campgrounds whereas other sites are highly localized, such as trailheads. Source datasets had highly variable attributes. These attributes were not carried through into this dataset. Please see the source attribute in this dataset...
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This raster dataset is the result of a subtraction of the classification of raster datasets bhd2030us and bhd2000us. Both are produced using the SERGoM v3 model, they depict housing density for the coterminous US in 2030 and 2000, resp., and are based on 2000 US Census Bureau block (SF1) datasets. (The classication of the subtraction is shown below.) A raster layer that portrays not-developed (and assumed to be undevelopable) called CUS_UPP_100 depicts protected/unprotected lands and Census water polygons. First, Land was removed from blocks (reducing the area of a block, but not its number of housing units -- assuming that private housing units must be on private land) that was public and/or protected in the UNPROTPRIV100...


map background search result map search result map Natural Area Tourist Visitation Places for Wyoming at 1:100,000 Building Capacity within the CSC Network to Effectively Deliver and Communicate Science to Resource Managers and Planners GNIS States, Territories, Associated Areas of the United States Text Format for Montana GNIS States, Territories, Associated Areas of the United States Text Format for Washington GNIS States, Territories, Associated Areas of the United States Text Format for Wisconsin Blueprint 2.2 Data Download USGS 1:1,000,000-Scale Federal Lands of the United States 201412 FileGDB USGS 1:1,000,000-Scale Indian Lands of the United States 201412 Shapefile BLM REA COP 2010 BLM Recreation Sites in Utah BLM REA COP 2010 USA Major Cities pt Outside COP BLM REA COP 2010 Water Based RecreationTravel Corridors BLM REA COP 2010 Near-Term High Landscape Development BLM REA COP 2010 Water-Based Recreation Travel Corridors BLM REA COP 2010 BLM Recreation Sites in New Mexico BLM REA CYR 2013 Material Sales Sites BLM REA SOD 2010 USFS Coronado National Forest Recreation Sites BLM REA SOD 2010 Development Risk, Contiguous US (2030) BLM REA SOD 2010 BLM Recreation Sites (Kingman Field Office) BLM REA SOD 2010 Land-Based Recreation Sites BLM REA COP 2010 BLM Recreation Sites in New Mexico BLM REA SOD 2010 BLM Recreation Sites (Kingman Field Office) BLM REA COP 2010 BLM Recreation Sites in Utah BLM REA SOD 2010 Land-Based Recreation Sites BLM REA COP 2010 Water Based RecreationTravel Corridors BLM REA COP 2010 Water-Based Recreation Travel Corridors GNIS States, Territories, Associated Areas of the United States Text Format for Washington GNIS States, Territories, Associated Areas of the United States Text Format for Wisconsin Natural Area Tourist Visitation Places for Wyoming at 1:100,000 BLM REA COP 2010 Near-Term High Landscape Development BLM REA SOD 2010 Development Risk, Contiguous US (2030) GNIS States, Territories, Associated Areas of the United States Text Format for Montana BLM REA CYR 2013 Material Sales Sites Blueprint 2.2 Data Download Building Capacity within the CSC Network to Effectively Deliver and Communicate Science to Resource Managers and Planners USGS 1:1,000,000-Scale Indian Lands of the United States 201412 Shapefile BLM REA COP 2010 USA Major Cities pt Outside COP USGS 1:1,000,000-Scale Federal Lands of the United States 201412 FileGDB