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Found 192 dataset(s) matching "probabilistic modeling".
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This dataset represents probabilistic seismic hazard curves and uniform-hazard ground motion values calculated for a grid of points with a spacing of 0.2 degrees in latitude and longitude for the...
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Seismicity catalogs, gridded seismic hazard curve data, gridded ground motion data, and mapped gridded ground motion values are available for the 2008 National Seismic Hazard Model for the...
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This data set represents multi-period response spectra (MPRS) results for 36 Alaska test sites using the 2023 National Seismic Hazard Model for the state of Alaska. The data sets includes (1)...
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Electrical power systems play a critical role in spacecraft and aircraft. This paper discusses our development of a diagnostic capability for an electrical power system testbed, ADAPT, using...
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Analytic-element groundwater-flow model of the Captain Jack Superfund Site, Boulder County, Colorado
The U.S. Geological Survey (USGS) used an analytic-element method (AEM) modeling approach to quantitatively understand groundwater dynamics at the Captain Jack Superfund Site, located in Boulder...
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In this paper, a maximum entropy-based general framework for probabilistic fatigue damage prognosis is investigated. The proposed methodology is based on an underlying physics-based crack growth...
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In this paper, a maximum entropy-based general framework for probabilistic fatigue damage prognosis is investigated. The proposed methodology is based on an underlying physics-based crack growth...
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Hypospadias is a developmental defect of urethral tube closure that has a complex etiology involving genetic and environmental factors, including anti-androgenic and estrogenic disrupting...
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This data release includes geospatial data for irregularly flooded wetlands and high marsh and salt pannes/flats along the northern Gulf of Mexico coast from Texas to Florida. Specifically, this...
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This dataset contains the EPA-generated CMAQ model data contributed to support the externally-led analysis in the manuscript "Operational, Diagnostic and Probabilistic Evaluation of AQMEII-4...
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The sensitivity to sediment parameterization and initial bed configuration on sediment transport processes and morphological evolution are assessed through process-based numerical modeling. Six...
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The sensitivity to sediment parameterization and initial bed configuration on sediment transport processes and morphological evolution are assessed through process-based numerical modeling. Six...
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The 2014 update of the U.S. Geological Survey (USGS) National Seismic Hazard Model (NSHM) for the conterminous United States (2014 NSHM; Petersen and others, 2014;...
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Background Microarray technologies are emerging as a promising tool for genomic studies. The challenge now is how to analyze the resulting large amounts of data. Clustering techniques...
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The updated 2018 National Seismic Hazard Model includes new ground motion models, aleatory uncertainty, and soil amplification factors for the central and eastern U.S. and incorporates basin...
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Policy-relevant flood risk modeling must capture interactions between physical and social processes to accurately project impacts from scenarios of sea level rise and inland flooding due to...
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We simulated future patterns of urban growth using the FUTure Urban-Regional Environment Simulation (FUTURES; Meentemeyer et al., 2013) version 2 framework. FUTURES is an open source urban growth...
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The Department of Water Resources Modeling Support Office, in collaboration with the United States Geological Survey (USGS), has developed an individual-based ecological particle tracking model...
