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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. Pinal136 is located in T3S R14E Sec 28 N2 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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Heinrichs Geoexploration Co. Maps: Golder Dam, Site Investigation; 1 in. to 100 feet; 42 x 96 in.
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The 'Aravaipa Mining District, Cobre Grande Mining Claims' file is part of the Grover Heinrichs mining collection. Grover was the Vice President of Heinrichs GEOEXploration, located in Tucson, Arizona. The collection contains over 1,400 folders including economic geology reports, maps, photos, correspondence, drill logs and other related materials. The focus of much of the information is on the western United States, particularly Arizona, but the collection also includes files on mining activity throughout the United States, foreign countries, and 82 mineral commodities.
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Protection Status spatial analysis and statistical summaries of the Protected Areas Database of the United States (PAD-US) provide land managers and decision makers with a general assessment of management intent to protect biodiversity across the nation and identify areas managed for multiple uses, including natural resource extraction, as represented by the GAP Status Code (see GAP Status Code Definition sheet in all associated Summary Statistics by GAP Status Code Microsoft Excel Workbook download). Area statistics include total acreage, acres by managing agency, and percent protection. These summaries are available for various units of interest to stakeholders: National, State, Department of the Interior Region,...
Categories: Data; Tags: Agricultural Research Service, Alabama (AL), Alaska (AK), American Samoa (AS), Arizona (AZ), All tags...
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This dataset was produced in by the Delaware Geological survey in cooperation with the US Geological Survey and Delaware Department of Transportation for the purpose of delineating gage basins and performing hydrologic analysis in the Delaware 2020 StreamStats application. These datasets are raster representations of the fundamental dataset layers necessary for the functionality of StreamStats application within the Delaware StreamStats 2020 study area. The StreamStats application provides access to spatial analytical tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate drainage areas, get basin characteristics...
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These data tables summarize land cover classifications, slope measurements, and inundated area estimates for several lakes in northern Minnesota, as part of a larger project seeking to identify associations between young-of-year Yellow Perch mercury content and water level metrics, temperature, and annual deposition data in a multivariate analysis. One table presents inundated area estimates for a range of water surface elevations in 0.1 meter increments between a range of seasonal minimum and maximum water surface elevation values. The other table summarizes the percent cover and number of hectares of each land cover class within a specified buffered area around each study sampling site, along with a measure of...
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This dataset provides physical and chemical data for a sediment-fingerprinting study conducted in the upper parts of the Linganore Creek watershed in an effort to quantify and determine the sources of fine-grained sediments eroded from and deposited on streambanks, flood plains, channel beds, and agricultural and forested uplands. Data were collected from August 1, 2008 through December 31, 2010. Chemical data include median particle size, total organic carbon (C) and total nitrogen (N), and concentrations for 19 elements. Physical data includes upstream drainage area from sampling location as well as land-use type.
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Coastwide vegetation surveys have been conducted multiple times over the past 50 years (e.g., Chabreck and Linscombe 1968, 1978, 1988, 1997, 2001, and 2013) by the Louisiana Department of Wildlife and Fisheries (LDWF) in support of coastal management activities. The last survey was conducted in 2013 and was funded by the Louisiana Coastal Protection and Restoration Authority (CPRA) and the U.S. Geological Survey (USGS) as a part of the Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) monitoring program. These surveys provide important data that have been utilized by federal, state, and local resource managers. The surveys provide information on the condition of Louisiana’s coastal marshes by mapping...
This map depicts the proportion of non-Sage-grouse habitat with 18km of each pixel. The map was produced using a moving window analysis on the Distribution of Non-Sage Grouse Habitat in the Conservation Assessment Area with a search radius of 18km. The product of the moving window was the mean pixel value within the window. This map has a 540m resolution.
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for developing approaches that balance the needs of humans and native species. Given the magnitude of the threat posed by sea-level rise, and the urgency to better understand it, there is an increasing need to forecast sea-level rise effects on barrier islands. To address this problem, scientists in the U.S. Geological Survey (USGS) Coastal and Marine Geology program are developing Bayesian networks as a tool to evaluate and to forecast the effects of sea-level rise on shoreline change, barrier island geomorphology, and habitat availability for species such as the piping plover (Charadrius melodus)...
Categories: Data; Tags: Assateague Island, Assateague Island, Assateague Island National Seashore, Assateague Island National Seashore, Atlantic Ocean, All tags...


map background search result map search result map ADMMR mining collection file: Troy Mine Proportion of Agricultural Land Cover (3-km scale) in the Wyoming Basins Ecoregional Assessment area Proportion of All Sagebrush Species Land Cover (270-m scale) in the Wyoming Basins Ecoregional Assessment area Proportion of Conifer Forest Land Cover (3-km scale) in the Wyoming Basins Ecoregional Assessment area Proportion of Conifer Forest Land Cover 540-m scale) in the Wyoming Basins Ecoregional Assessment area Proportion of Grassland Land Cover (270-m scale) in the Wyoming Basins Ecoregional Assessment area Proportion of Non-Sage-grouse Habitat Within an 18-km Radius Liz Limestone, Land Status Map Golder Dam, Site Investigation Christmas Area, Property Map Grover Heinrichs mining collection: Aravaipa Mining District, Cobre Grande Mining Claims Development: Development delineation: Fire Island, NY, 2010–2011 Development: Development delineation: Fire Island, NY, 2014–2015 Development: Development delineation: Rockaway Peninsula, NY, 2010–2011 Sources of fine-grained sediment in the Linganore Creek Watershed, Frederick and Carroll Counties, Maryland, 2008-2010 Mercury and water level fluctuations in lakes of northern Minnesota - sampling site land cover and inundated area data Fundamental Dataset Rasters for Delaware StreamStats 2020 Barrier island geomorphology and seabeach amaranth metrics at 50-m alongshore transects, and 5-m cross-shore points for 2008 — Assateague Island, MD and VA. Vegetation Types in Coastal Louisiana in 2021: Point Data ADMMR mining collection file: Troy Mine Development: Development delineation: Fire Island, NY, 2014–2015 Development: Development delineation: Fire Island, NY, 2010–2011 Barrier island geomorphology and seabeach amaranth metrics at 50-m alongshore transects, and 5-m cross-shore points for 2008 — Assateague Island, MD and VA. Mercury and water level fluctuations in lakes of northern Minnesota - sampling site land cover and inundated area data Sources of fine-grained sediment in the Linganore Creek Watershed, Frederick and Carroll Counties, Maryland, 2008-2010 Fundamental Dataset Rasters for Delaware StreamStats 2020 Vegetation Types in Coastal Louisiana in 2021: Point Data Proportion of Agricultural Land Cover (3-km scale) in the Wyoming Basins Ecoregional Assessment area Proportion of All Sagebrush Species Land Cover (270-m scale) in the Wyoming Basins Ecoregional Assessment area Proportion of Conifer Forest Land Cover (3-km scale) in the Wyoming Basins Ecoregional Assessment area Proportion of Conifer Forest Land Cover 540-m scale) in the Wyoming Basins Ecoregional Assessment area Proportion of Grassland Land Cover (270-m scale) in the Wyoming Basins Ecoregional Assessment area Proportion of Non-Sage-grouse Habitat Within an 18-km Radius