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This USGS Data Release represents geospatial and tabular data for the Denali Sampling Project. This dataset represents the 'Sample Site Locations (Vector GIS dataset)' for the 2015 Sample Data Release. These data support the following publication:Drew A. Ignizio, ScienceBase Team, 2015, SAMPLE Denali Observations from 2010-2015, USGS Open File Report.
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This USGS Data Release represents geospatial and tabular data for the Denali Sampling Project. This dataset represents the 'Sample Transects (Vector GIS dataset)' for the 2015 Sample Data Release. These data support the following publication:Drew A. Ignizio, ScienceBase Team, 2015, SAMPLE Denali Observations from 2010-2015, USGS Open File Report.
Abstract: The data in this data series represent a set of multi-band rasters, each containing 20 bioclimatic variables for the continental United States for the years 1895 - 2008.Staff at the U.S. Geological Survey, Fort Collins Science Center developed these raster layers using 4-km time series data developed by the PRISM Climate Group at Oregon State University. The original climate data for these rasters came from multiple climate station point measurements. Using these station measurements, the PRISM group produced interpolated climate grids which became the inputs in the algorithm used by the USGS to derive the bioclimatic variables. The values within each raster band were produced using an algorithmic...
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This USGS Data Release represents geospatial and tabular data for the Denali Sampling Project. The data release was produced in compliance with the new 'open data' requirements as a way to make the scientific products associated with USGS research efforts and publications available to the public. The dataset consists of 4 separate items: 1. Sample Site Locations (Vector GIS dataset) 2. Sample Transects (Vector GIS dataset) 3. Final Index Score Output (Raster GIS dataset) 4. Sample Site Recordings - Finalized (Tabular dataset) These data support the following publication: Ignizio, D.A., 2015, Sample associated publication: U.S. Geological Survey Open-File Report 2016–xxxx, xx p., http://dx.doi.org/10.3133/ofr2015xxxx.
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This USGS Data Release represents geospatial and tabular data for the Denali Sampling Project. This dataset represents the 'Sample Site Recordings (Finalized Tabular Data)' for the 2015 Sample Data Release. These data support the following publication:Drew A. Ignizio, ScienceBase Team, 2015, SAMPLE Denali Observations from 2010-2015, USGS Open File Report.
The Energy and Environment in the Rocky Mountain Area (EERMA) project is composed of interdisciplinary U.S. Geological Survey (USGS) scientists working to provide land management agencies and decision makers with synthesized information and comprehensive, virtual tools to promote understanding of the trade-offs of energy development. The purpose of the Interactive Energy Atlas is to provide data and decision support tools to visualize and assess the potential effects of energy development on terrestrial/hydrological resources at multiple scales. ScienceBase is being used to compile information and serve the data to EERMA's website, including visualization application, via services. Community Home website: http://my.usgs.gov/eerma/
This project involves a web-based application and information resource focused on ecosystems, energy, and water in northwestern Colorado. The project will be developed and implemented in partnership with land and resource managers and will compliment ongoing and proposed work to support data and information management needs in the region. Representative on-going efforts and entities involved include the U.S. Fish and Wildlife Service Southern Rockies Landscape Conservation Cooperative studies, Bureau of Land Management Rapid Ecoregional Assessments, Americas Great Outdoors Initiative, WaterSMART, Upper Colorado Endangered Fish Recovery Program, Yampa River Legacy Project, Soil Landscape Geochemistry Project, Sage...
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Abstract: This data set represents a multi-band raster containing 20 bioclimatic variables for the continental United States for the years 1971-2000. Staff at the U.S. Geological Survey, Fort Collins Science Center developed these raster layers using 800 m normals data developed by the PRISM Climate Group at Oregon State University. The original climate data for this raster came from multiple climate station point measurements. Using these station measurements, the PRISM group produced interpolated climate grids which became the inputs in the algorithm used by the USGS to derive the bioclimatic variables. The values within each raster band were produced using an algorithmic calculation that is performed on a cell-by-cell...
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Python can be used to manipulate the content of the underlying SBJSON object. The text we can see here is stored in the 'Body' element.
Categories: Data; Tags: Python, Washington (WA)
Downloadable resources for the USGS Metadata Wizard. Please also see the containing folder for this resource, located here: www.sciencebase.gov/metadatawizard The software is also available on GitHub: https://github.com/dignizio-usgs/MDWizard_Source
Abstract: The data in this data series represent a set of multi-band rasters, each containing 20 bioclimatic variables for the continental United States for the years 1980 - 2009. Staff at the U.S. Geological Survey, Fort Collins Science Center developed these raster layers using 2-km time series data created by Climate Source, Inc. and Spatial Climate Analysis Service (SCAS) at Oregon State University. The original climate data for these rasters came from multiple climate station point measurements. Using these station measurements, Climate Source/SCAS produced interpolated climate grids which became the inputs in the algorithm used by the USGS to derive the bioclimatic variables. The values within each raster...
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The data contained in this report was compiled, modified, and analyzed for the Wyoming Landscape Conservation Initiative (WLCI) Integrated Assessment (IA). The WLCI is a long-term science based effort to assess and enhance aquatic and terrestrial habitats at a landscape scale in southwest Wyoming while facilitating responsible energy development through local collaboration and partnerships. The IA is an integrated synthesis and analysis of WLCI resource values based on best available data and information collected from multiple agencies and organizations. It is a support tool for landscape-scale conservation planning and evaluation, and a data and analysis resource that can be used for addressing specific management...
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Gas field infrastructure elements contributing to land disturbance located in four gas fields (Continental Divide – Creston – Blue Gap (CCB), Jonah, Moxa Arch, and Pinedale Anticline Project Area) in southwestern Wyoming were collected as polygon features in ArcGIS. Classes included four types of roads, well pads (active and abandoned), residual disturbance associated with the well pads, buried utilities, disturbances associated with non-well pad industry facilities, and areas of general disturbance associated with the installation and operation of gas wells not fitting one of the other disturbance class definitions.
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This USGS Data Release represents geospatial and tabular data for the Denali Sampling Project. This dataset represents the 'Final Index Score Output (Raster Dataset)' for the 2015 Sample Data Release. These data support the following publication:Drew A. Ignizio, ScienceBase Team, 2015, SAMPLE Denali Observations from 2010-2015, USGS Open File Report.
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Pygmy rabbits (Brachylagus idahoensis) are a Species of Greatest Conservation Need in Wyoming. They are designated as such because they are sagebrush obligates and entrained in the health and intactness of sagebrush steppe landscapes. Southwest Wyoming, where pygmy rabbits occur, has become an epicenter of domestic oil and gas exploration and this activity contributes to loss and fragmentation of sagebrush habitats. This tabular file that was used for analysis contains the following data/information: survey site, plot, and gas field; pygmy rabbit occupancy status; UTM coordinates associated with occupancy (dithered to protect pygmy rabbits from further disturbance); an index value indicating amount of fresh pygmy...
Abstract: This data set represents a multi-band raster containing 20 bioclimatic variables for the continental United States for the averaged climate years 1971-2000. Staff at the U.S. Geological Survey, Fort Collins Science Center developed these raster layers using 400 m climate normals data created by Climate Source, Inc. and Spatial Climate Analysis Service (SCAS) at Oregon State University. The original climate data for this raster came from multiple climate station point measurements. Using these station measurements, Climate Source/SCAS produced interpolated climate grids which became the inputs in the algorithm used by the USGS to derive the bioclimatic variables. The values within each raster band were...
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A demonstration item to illustrate programmatic interaction with the ScienceBase system.
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Metadata Wizard THIS VERSION OF THE TOOL HAS BEEN REPLACED BY AN UPDATED VERSION Users should obtain the new version of the Metadata Wizard at the links below: The user manual is available here: https://usgs.github.io/fort-pymdwizard/index.html Software installer can be downloaded here: https://github.com/usgs/fort-pymdwizard/releases This tool will eventually replace the Metadata Wizard hosted from this page to eliminate dependencies on ESRI ArcDesktop and to enable Mac users to utilize the Metadata Wizard. Documentation and Previous Release Notes for the Legacy Publication and Product are Below ------------------------------ Metadata Wizard version: 1.8.5 (Last updated: 1/21/20) To download this toolbox...
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Pygmy rabbits (Brachylagus idahoensis) are a Species of Greatest Conservation Need in Wyoming. They are designated as such because they are sagebrush obligates and entrained in the health and intactness of sagebrush steppe landscapes. Southwest Wyoming, where pygmy rabbits occur, has become an epicenter of domestic oil and gas exploration and this activity contributes to loss and fragmentation of sagebrush habitats. This tabular file that was used for analysis contains the following data/information: survey site, plot, and gas field; pygmy rabbit occupancy status; UTM coordinates associated with occupancy (dithered to protect pygmy rabbits from further disturbance); an index value indicating amount of fresh pygmy...
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Container item for test batching.


    map background search result map search result map Wyoming Landscape Conservation Initiative (WLCI) - Important Agricultural Lands Assessment Project (Datasets) 2015 Sample Data Release 2015 Sample Site Recordings (Finalized Tabular Data) 2015 Final Index Score Output 2015 Sample Transects Analysis of Land Disturbance and Pygmy Rabbit Occupancy Values Associated With Oil and Gas Extraction in Southwestern Wyoming, 2012 Land Disturbance and Pygmy Rabbit Occupancy Values Associated With Oil and Gas Extraction in Southwestern Wyoming, 2012 Land Disturbance Associated With Oil and Gas Extraction in Southwestern Wyoming, 2012 Land Disturbance Associated With Oil and Gas Extraction in Southwestern Wyoming, 2012 Analysis of Land Disturbance and Pygmy Rabbit Occupancy Values Associated With Oil and Gas Extraction in Southwestern Wyoming, 2012 Land Disturbance and Pygmy Rabbit Occupancy Values Associated With Oil and Gas Extraction in Southwestern Wyoming, 2012 2015 Sample Transects 2015 Sample Data Release 2015 Sample Site Recordings (Finalized Tabular Data) 2015 Final Index Score Output Wyoming Landscape Conservation Initiative (WLCI) - Important Agricultural Lands Assessment Project (Datasets)