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This dataset contains watershed means of estimated percent impervious surfaces for three time periods: 1992, 2002, and 2012. Estimates are based on coefficients derived from comparing land use of the 2012 NAWQA Wall-to-wall Anthropogenic Land-use Trends (NWALT) product to the 2011 National Land Cover Database (NLCD) imperviousness, then applying those coefficients to previous years (1974-2002) of the NWALT dataset.
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This file contains the polygon SDE Feature Class for Federal Fluid Minerals(Oil and Gas) for the Bureau of Land Management(BLM)Montana/Dakotas. Federal Fluid Minerals as well as Federal Lease status and Indian Minerals/Leases are included. Plat maps are used to find federal mineral ownership and the Bureau of Land Management's LR2000 database is used to find current leasing status.
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Synthesis of USGS and other data sources to represent undiscovered oil and gas resources for the State of Montana. Prepared by Karen Jenni, USGS (kjenni@usgs.gov). These datasets were prepared by Karen Jenni (kjenni@usgs.gov) for the purposes of this presentation. See below for data provenance and analysis details. Undiscovered Resources by Province Total undiscovered resources by USGS “Province,” displayed in millions of barrels of oil equivalent (BOE). Province and AU boundaries were downloaded from the National Oil and Gas Assessment web page: http://energy.usgs.gov/OilGas/AssessmentsData/NationalOilGasAssessment.aspx#.V3WTg_krIUG Below are the links for each province. To get the province and AU boundaries:...
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This location is part of the Arizona Mineral Industry Location System (AzMILS), an inventory of mineral occurences, prospects and mine locations in Arizona. LaPaz43 is located in T7N R13W Sec 11 SE in the Salome - 15 Min quad. This collection consists of various reports, maps, records and related materials acquired by the Arizona Department of Mines and Mineral Resources regarding mining properties in Arizona. Information was obtained by various means, including the property owners, exploration companies, consultants, verbal interviews, field visits, newspapers and publications. Some sections may be redacted for copyright. Please see the access statement.
Streamflow and water-quality data collected at the Henrys Fork near Rexburg, ID go to: https://www.sciencebase.gov/catalog/item/5d0d2cb7e4b0941bde52a208 for the complete dataset and associated metadata.Possible file types include: aflow.csv: Annual flow data; aloads.csv: Annual water-quality load data; dflow.csv: Daily flow data; discqw.csv: Discrete water-quality results; mflow.csv: May flow data; mloads.csv: May water-quality load data; pestlong.csv: Pesticide abbreviations, long names, USGS parameter codes, and (CAS) numbers; pestsamp.csv: Discrete pesticide results
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This location is part of the Arizona Mineral Industry Location System (AzMILS), an inventory of mineral occurences, prospects and mine locations in Arizona. Pima1165 is located in T12S R9E Sec 11 SE in the Silver Bell East - 7.5 Min quad. This collection consists of various reports, maps, records and related materials acquired by the Arizona Department of Mines and Mineral Resources regarding mining properties in Arizona. Information was obtained by various means, including the property owners, exploration companies, consultants, verbal interviews, field visits, newspapers and publications. Some sections may be redacted for copyright. Please see the access statement.
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This location is part of the Arizona Mineral Industry Location System (AzMILS), an inventory of mineral occurences, prospects and mine locations in Arizona. Coconino41 is located in T21N R2E Sec 16 NE in the Bill Williams Mtn - 15 Min quad. This collection consists of various reports, maps, records and related materials acquired by the Arizona Department of Mines and Mineral Resources regarding mining properties in Arizona. Information was obtained by various means, including the property owners, exploration companies, consultants, verbal interviews, field visits, newspapers and publications. Some sections may be redacted for copyright. Please see the access statement.
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This location is part of the Arizona Mineral Industry Location System (AzMILS), an inventory of mineral occurences, prospects and mine locations in Arizona. Pinal130A is located in T3S R14E Sec 7 C in the Hot Tamale Peak - 7.5 Min quad. This collection consists of various reports, maps, records and related materials acquired by the Arizona Department of Mines and Mineral Resources regarding mining properties in Arizona. Information was obtained by various means, including the property owners, exploration companies, consultants, verbal interviews, field visits, newspapers and publications. Some sections may be redacted for copyright. Please see the access statement.
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This location is part of the Arizona Mineral Industry Location System (AzMILS), an inventory of mineral occurences, prospects and mine locations in Arizona. Yavapai664B is located in T14N R3E Sec 4 SW in the Cherry - 7.5 Min quad. This collection consists of various reports, maps, records and related materials acquired by the Arizona Department of Mines and Mineral Resources regarding mining properties in Arizona. Information was obtained by various means, including the property owners, exploration companies, consultants, verbal interviews, field visits, newspapers and publications. Some sections may be redacted for copyright. Please see the access statement.
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...


map background search result map search result map ADMMR mining collection file: Critic Mine ADMMR mining collection file: Silver Bell East ADMMR mining collection file: Dead Eye Pumice ADMMR mining collection file: Richard Arlyn Claims ADMMR mining collection file: Lobo 1 And 2 Chloride Project Geochemical Location Plan - Zinc Federal Fluid Minerals Leases (Oil and Gas) for the Bureau of Land Management Percent impervious surface for selected Chesapeake Bay watersheds Undiscovered Oil and Gas Resources for State of Montana ADMMR Photo Archive file: Rumico Millsite 173-73 ADMMR Photo Archive file: Magma Mine 180-8 ADMMR Photo Archive file: Congress 23-79 Precipitation (Proportion July - Sep) - 2020-2050 - RCP8.5 - Min Temperature (Mean: Annual) - 2020-2050 - RCP8.5 - Min Precipitation (Proportion May - Oct) - 1980-2010 Precipitation (Proportion May - Oct) - 2070-2100 - RCP4.5 - Min Precipitation (Proportion May - Oct) - 2020-2050 - RCP4.5 - Min Precipitation (Mean: Apr - June) - 2070-2100 - RCP4.5 - Max Precipitation (Mean: Dec - Mar) - 2020-2050 - RCP4.5 - Min ADMMR Photo Archive file: Congress 23-79 ADMMR mining collection file: Richard Arlyn Claims ADMMR mining collection file: Lobo 1 And 2 ADMMR Photo Archive file: Magma Mine 180-8 ADMMR mining collection file: Critic Mine ADMMR mining collection file: Silver Bell East ADMMR mining collection file: Dead Eye Pumice ADMMR Photo Archive file: Rumico Millsite 173-73 Percent impervious surface for selected Chesapeake Bay watersheds Undiscovered Oil and Gas Resources for State of Montana Precipitation (Proportion July - Sep) - 2020-2050 - RCP8.5 - Min Temperature (Mean: Annual) - 2020-2050 - RCP8.5 - Min Precipitation (Proportion May - Oct) - 1980-2010 Precipitation (Proportion May - Oct) - 2070-2100 - RCP4.5 - Min Precipitation (Proportion May - Oct) - 2020-2050 - RCP4.5 - Min Precipitation (Mean: Apr - June) - 2070-2100 - RCP4.5 - Max Precipitation (Mean: Dec - Mar) - 2020-2050 - RCP4.5 - Min Federal Fluid Minerals Leases (Oil and Gas) for the Bureau of Land Management