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Rural addresses that are assigned by the county are used by 911 system to find you in case of an emergency. If your property doesn’t have an address, or has an incorrect address it can delay the arrival of help during an emergency. If you purchase rural property in Fremont County, you will need to contact the Planning Department to get a rural address (a.k.a. physical address, or fire number) assigned to it. Even if you are buying property that has an already existing house or business on it, you should check with the Planning Department to make sure there is an address assigned to it. If you are planning to build on your property, be aware that some utility services will not install stubs/lines of service to your...
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This dataset includes input and output data from streamflow and water-quality regression models used to characterize streamflow and water-quality conditions in the Upper White River Basin, Colorado, from 2000 to 2020. All input data, including discrete and continuous streamflow records and discrete concentrations of inorganic nitrogen, total nitrogen, and total phosphorus, were compiled from the U.S. Geological Survey (USGS) National Water Information System (NWIS) database. Input data were used in multiple models including Maintenance of Variance Extension Type 2 (MOVE.2) and Weighted Regressions on Time, Discharge, and Season (WRTDS) to estimate continuous streamflow records, daily concentrations and loads, and...
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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.
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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.
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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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Grouse: These data on sharp-tailed grouse survival times are provided for individuals wanting to run an age-period survival analysis. Entry and exit times are expressed in integer days from the start of the study. Entry age and exit age expressed in integer days are also included. Data are structured to implement survival analysis. White-tailed Deer: These data on white-tailed deer survival times are provided for individuals wanting to run an age-period survival analysis. Entry and exit times are expressed in integer weeks from the start of the study. Entry age and exit age expressed in integer weeks are also included. Data are structured to implement survival analysis. Only adult female individuals that were chronic-wasting...
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The U.S. Geological Survey in cooperation with the Grand River Dam Authority completed a high-resolution multibeam bathymetric survey to compute a new capacity and surface-area table. The capacity and surface-area tables describe the relation between the elevation of the water surface and the volume of water that can be impounded at each given water-surface elevation. The capacity and surface area of Grand Lake O’ the Cherokees were computed from a Triangular Irregular Network (TIN) surface created in Global Mapper Version 21.0.1. The TIN surface was created from three datasets: (1) a multibeam bathymetric survey of Grand Lake O’ the Cherokees in 2019 (Hunter and others 2020), (2) a 2017 USGS bathymetric survey...
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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.)
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This dataset approximates areas available for utility-grade solar energy development under the Solar Energy Zone Alternative of the Solar Energy Development Programmatic Environmental Impact Statement (PEIS). Refer to the Solar Energy Development PEIS for more details.
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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.
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This data depicts pipeline 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.
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This dataset is a 100-meter cell resolution raster of estimated use of public supply water for the southwestern United States. The dataset was generated from 1:100,000-scale county boundary data, 2005 LandScan population data, and USGS estimated use of water in the United States in 2000.
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This data set contains potential threat based on proximity to electrical transmission lines and cellular and wind turbine towers for the Greater Sage-Grouse in the Middle Rockies Ecoregion. This data set contains categorical values based on distances away from transmission lines and towers.
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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.


map background search result map search result map Right of Way Corridors for the BLM Rawlins Field Office, Wyoming at 1:24,000 Fremont County Wyoming GNIS States, Territories, Associated Areas of the United States Text Format for Arkansas GNIS States, Territories, Associated Areas of the United States Text Format for Florida 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 Oklahoma GNIS States, Territories, Associated Areas of the United States Text Format for South Carolina 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 BLM REA MIR 2011 Potential Threat due to Proximity to Towers and Power Lines BLM REA YKL 2011 Alaska Pipelines 1:63,360 BLM REA YKL 2011 YKL Subsistence River Segment points in the Yukon River Lowlands - Kuskokwim Mountains - Lime Hills BLM REA YKL 2011 Distribution of Potential Hydroelectric Energy in the Yukon River Lowlands - Kuskokwim Mountains - Lime Hills BLM REA MBR 2010 Solar Energy Zone Alternative BLM REA MBR 2010 Estimated Public Supply Water Use of the Southwest Principal Aquifer (SWPA) study in 2005 BLM REA SNK 2010 DV N Railroads ln BLM REA SNK 2010 Current Road Footprint Change Agent Data release of Bathymetric Map, Surface Area, and Capacity of Grand Lake O' the Cherokees, Northeastern Oklahoma, 2019 Input and ouput data from streamflow and water-quality regression models used to characterize streamflow and water-quality conditions in the Upper White River Basin, Colorado, from 2000-2020 White-tailed deer and sharp-tailed grouse data used in constrained generalized additive models to enhance survival analyses and incorporate ecological theory Input and ouput data from streamflow and water-quality regression models used to characterize streamflow and water-quality conditions in the Upper White River Basin, Colorado, from 2000-2020 Data release of Bathymetric Map, Surface Area, and Capacity of Grand Lake O' the Cherokees, Northeastern Oklahoma, 2019 BLM REA SNK 2010 Current Road Footprint Change Agent Fremont County Wyoming Right of Way Corridors for the BLM Rawlins Field Office, Wyoming at 1:24,000 GNIS States, Territories, Associated Areas of the United States Text Format for South Carolina GNIS States, Territories, Associated Areas of the United States Text Format for Arkansas BLM REA SNK 2010 DV N Railroads ln BLM REA MBR 2010 Solar Energy Zone Alternative 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 GNIS States, Territories, Associated Areas of the United States Text Format for Oklahoma GNIS States, Territories, Associated Areas of the United States Text Format for Florida GNIS States, Territories, Associated Areas of the United States Text Format for Montana BLM REA YKL 2011 Distribution of Potential Hydroelectric Energy in the Yukon River Lowlands - Kuskokwim Mountains - Lime Hills BLM REA YKL 2011 YKL Subsistence River Segment points in the Yukon River Lowlands - Kuskokwim Mountains - Lime Hills BLM REA MIR 2011 Potential Threat due to Proximity to Towers and Power Lines BLM REA MBR 2010 Estimated Public Supply Water Use of the Southwest Principal Aquifer (SWPA) study in 2005 BLM REA YKL 2011 Alaska Pipelines 1:63,360