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Found 1261 dataset(s) matching "Modeling framework".
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The spread of white-nose syndrome (WNS) across the eastern United States has raised conservation concerns and provided motivation for efforts to monitor the impacts of this disease. Currently, WNS...
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This research focused on accelerating solar photovoltaic (PV) diffusion by collecting new market data and developing predictive modeling frameworks to test and refine understandings of household...
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Integrated terrain models covering 16,357 square kilometers of the Massachusetts coastal zone and offshore waters were built to provide a continuous elevation and bathymetry terrain model for...
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Integrated terrain models covering 16,357 square kilometers of the Massachusetts coastal zone and offshore waters were built to provide a continuous elevation and bathymetry terrain model for...
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Contemporary climate change in Alaska has resulted in amplified rates of press and pulse disturbances that drive ecosystem change with significant consequences for socio-environmental systems....
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This dataset was developed under TEAMER technical support (CRD-21-17763-0) to model the Aquantis AQ10, a spar buoy-based marine hydrokinetic turbine, using the OpenFAST simulation framework. The...
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SPARROW model dataset for total suspended solids in North Carolina, including simulated stream loads
To better understand the influence of human activities and natural processes on surface-water quality, the U.S. Geological Survey (USGS) developed the SPARROW (SPAtially Referenced Regressions On...
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To better understand the influence of human activities and natural processes on surface-water quality, the U.S. Geological Survey (USGS) developed the SPARROW (SPAtially Referenced Regressions On...
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This dataset contains spatial and temporal data used to analyze and project the distribution of skipjack tuna (Katsuwonus pelamis) in the Western Indian Ocean under varying climate change...
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The Ozark Plateau aquifer system stretches across approximately 70,000 square miles (mi2) of Arkansas, Missouri, Kansas and Oklahoma, and is composed of many hydrogeologic units, such as the Boone...
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The National Hydrography Dataset Plus, Version 2 (NHDPlusV2) is an attribute rich, digital hydrologic network for the Conterminous U.S. developed by the U.S. Environmental Protection Agency (EPA)...
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The lines shown are those used by the USGS in developing the framework geology and models used in assessing the oil and gas resources of the Gulf Coast Region. The data set is comprised of both...
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The U.S. Geological Survey National Crustal Model (NCM) is being developed to include spatially varying estimates of site response in seismic hazard assessments. Primary outputs of the NCM are...
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Climate change is a primary threat to biodiversity, but for most species, we still lack information required to assess their potential vulnerability to changes. Climate change vulnerability...
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A third revision of the New Jersey Coastal Plain (NJCP) groundwater flow model, using MODFLOW-2005 (version 1.12.00), was completed to maintain the model’s usefulness for water-resource managment...
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The INTEGRATE (Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements) project is developing a new inverse-design capability for the aerodynamic design...
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<div style='text-align:Left;'><div><div><p><span>This imagery layer shows national riparian areas for the conterminous United States. Riparian areas are an important natural resource with high...
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This data release provides the resulting land-use projections for California's Central Coast from 2001-2061 at a resolution of 270-m. Data are provided as (1) annual rasters and (2) summarized as...
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In the United States, a number of challenges prevent an accurate assessment of the prevalence of hate crimes in different areas of the country. These challenges create huge gaps in knowledge...
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LUCAS-W is a scenario-based simulation model of coupled land use change and associated water demand for California's Central Coast region from 2001-2061. The model is a verison of the LUCAS model,...
