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Found 2525 dataset(s) matching "structural model".
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Reduced small-angle x-ray and neutron scattering data in ASCII format and model structures for the Novavax, Inc. Respiratory Syncytial Virus (RSV) Fusion Glycoprotein Nanoparticle Vaccine in...
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<p>This section provides model code described by Rahmani et al. (2023b). This code accepts basin attributes and forcings and predicts stream temperatures using a differentiable model with...
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Biological, chemical, physical habitat, riparian, and land-use data collected from the Midwest streams by the National Water Quality Project Regional Stream Quality Team. Data were used to develop...
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This dataset contains three comma separated value files that represent a combination of previously published structure observations and select model results at the location of each structure...
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In this study, a major effort was undertaken to compile a large genotoxicity dataset (54,805 records for 9299 substances) from several public sources (e.g., TOXNET, COSMOS, eChemPortal). The names...
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This is a no-arbitrage dynamic term structure model, implemented as in Kim and Wright using the methodology of Kim and Orphanides . The underlying model is the standard affine Gaussian model with...
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<p>This section provides model simulation outputs from the models described by Rahmani et al. (2023b), as well as a subset of model outputs produced by Rahmani et al. (2021) that were used...
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<p>This section provides code for reproducing the figures in Rahmani et al. (2023b).</p> <p>The <a...
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<p>This data release component contains shapefiles of river basin polygons and monitoring site locations coincident with the outlets of those basins. Three file formats describing basin...
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This file contains value of the model training set confusion matrix, domain of applicability evaluation based on training set to predicted chemicals structural similarity, and 75th percentile...
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Dataset and workflow for the Construction of Amorphous Structure Models via Relaxation of Random Arrangements of Molecules. This is associated with manuscript "Construction of Amorphous Structure...
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Model-based prognostics approaches capture system knowl- edge in the form of physics-based models of components that include how they fail. These methods consist of a damage estimation phase, in...
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As monoclonal antibodies have become a vital resource in medicine, knowledge of their complex molecular structures has increased in importance. Thousands of Fab and Fc fragments are described in...
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As described in the README.md file, the GitHub repository github.com/USEPA/PRTR-QSTR-models/tree/data-driven are Python scripts written to run Quantitative Structure–Transfer Relationship (QSTR)...
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This model study examines several management strategies for two marine fish species subject to isolation-by-distance (IBD): Pacific cod in the Aleutian Islands (AI) and northern rockfish in the...
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Complex engineering systems require efficient on-line fault diagnosis methodologies to improve safety and reduce maintenance costs. Traditionally, diagnosis approaches are centralized, but these...
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Multiple data sets converge on a geologic structural model for Glass Buttes, Oregon geothermal prospect, Patrick Walsh, Brigette Martini, Chet Lide, Darrick Boschmann, John DIlles, Andrew Meigs,...
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Systems health management (SHM) is an impor- tant set of technologies aimed at increasing system safety and reliability by detecting, isolating, and identifying faults; and predicting when the...
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Within systems health management, prognostics focuses on predicting the remaining useful life of a system. In the model-based prognostics paradigm, physics-based models are constructed that...
