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Deprecated[66409] Center for Integrated Data Analytics (CIDA)

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Enabling Discovery and Access to USGS Great Lakes Scientific Data Through Web-Based Applications
Description of Work U.S. Geological Survey (USGS) will provide easily accessible, centrally located, USGS biological, water resources, geological, and geospatial datasets for Great Lakes basin restoration activities coordinated with GLOS. Managers, partners and the public will be able to readily access this information in usable interactive formats to help plan and implement restoration activities. Building tools and infrastructure to support standard data access, efficient data discovery and dynamic mapping of watersheds and their hydrologic properties. Developing decision support tools to enhance scientific investigation or disseminate project findings, for example integrating hydrologic models with real-time...
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This dataset represents the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University. Purpose: Urban growth probability extents throughout the 21st century for the Southeast Regional Assessment Project, which encompasses the states of Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee...
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Watershed modeling for stream ecosystem management
Description of Work U.S. Geological Survey (USGS) will develop and provide forecasting tools for managers to determine how water withdrawals or other hydrologic or land use changes in watersheds may affect Great Lakes ecosystems. This information will help guide restoration efforts to achieve maximum effectiveness and success. Project provides unified information across the Great Lakes Basin for ecosystem restoration, assessment, and management by incorporating models that relate changes in landscape and hydrologic variables and stresses to changes in ecosystem function. The project relies upon regionally consistent hydrologic, biologic, and geospatial data to generate regionally consistent estimates, models, and...
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Implementation of the Great Lakes Observing System
Description of Work The Great Lakes Observing System (GLOS) coordinates and integrates regional coastal observations supporting national and regional priorities including Great Lakes restoration. The Department of Interior backbone project is providing GLOS equipment for collecting water-quality sensor parameters and samples for organic and metal contaminants, and nutrient and sediment data in tributaries, embayments, and the nearshore to determine and guide restoration activities. Simulation models are also being developed that will provide quantifiable measures of restoration progress and comparisons of progress over time and space.
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