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Found 461 dataset(s) matching "Bayesian modeling".
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The dataset is lake dissolved oxygen concentrations obtained form plots published by Gelda et al. (1996) and lake reaeration model simulated values using Bayesian Monte Carlo methods (Chaudhary...
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In clique tree clustering, inference consists of propagation in a clique tree compiled from a Bayesian network. In this paper, we develop an analytical approach to characterizing clique tree...
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The data release documents the application of hierarchical Bayesian methods to a previously developed hybrid (statistical-mechanistic) SPARROW (SPAtially Referenced Regression On Watershed...
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The data contain yearly modeled estimates of Pacific salmon escapement (in annual metric tons of wet mass) from 1976 to 2015 across four regions of western North America. A second data file...
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Climate often drives ungulate population dynamics, and as climates change, some areas may become unsuitable for species persistence. Unraveling the relationships between climate and population...
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Climate often drives ungulate population dynamics, and as climates change, some areas may become unsuitable for species persistence. Unraveling the relationships between climate and population...
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<p dir="ltr">This dataset contains all data and R code, in RMarkdown notebook format, needed to reproduce all statistical analysis, figures, and tables in the manuscript:</p><p dir="ltr">Jeffers,...
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<p dir="ltr">This dataset contains all data and R statistical software code needed to reproduce the analyses presented in the paper:</p><p dir="ltr">Smith, B.J., Stafne, E.T. & Read, Q.D. (2025)....
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<p><br></p><p dir="ltr">This work was conducted by the Diverse Rotations Improve Valuable Ecosystem Services (DRIVES) project, based in the USDA-ARS Sustainable Agricultural Systems Lab in...
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The U.S. Environmental Protection Agency (USEPA) and U.S. Department of Agriculture (USDA) are developing the VarroaPop+Pesticide model which simulates the dynamics of honey bee colonies and how...
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This journal paper summarizes a Bayesian Network modeling approach for integrating climate change factors into ecological risk assessment. The BN modeling was not EPA generated. It was rather...
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Data supports the publication "Mapping Aedes aegypti (Diptera: Culicidae) and Aedes albopictus Vector Mosquito Distribution in Brownsville, TX". We investigated the spatiotemporal dynamics of...
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Table of contents Table S1 DNT inventory List of sources and associated data collected for the development of the Bayesian hierarchical model. Table S2 Data...
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<p dir="ltr">This dataset includes all the data and R code needed to reproduce the analyses in a forthcoming manuscript:</p><p dir="ltr">Copes, W. E., <b>Q. D. Read</b>, and B. J. Smith....
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This data release contains the input-data files and R scripts associated with the analysis presented in [citation of manuscript]. The spatial extent of the data is the contiguous U.S. The...
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These data consist of three primary types of products for managers of boreal toads in the Southern Rocky Mountains: 1) Re-constructed hydroperiods for historical breeding sites from LANDSAT...
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This data set contains estimated teen birth rates for age group 15–19 (expressed per 1,000 females aged 15–19) by county and year. DEFINITIONS Estimated teen birth rate: Model-based estimates of...
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The data provided were used in a mark-recapture analysis conducted in 2022. Environmental covariates included water quality and Upper Klamath Lake surface elevation. Raw data were downloaded from...
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EverSparrow is a spatially explicit Bayesian model of Cape Sable Seaside Sparrow (Ammospiza maritima mirabilis; CSSS) presence that quantifies the interdependent relationships between a range of...
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These model objects are the outputs of two Bayesian hierarchical models (one for the Middle Rockies and one for the Southern Rockies) to explore the role of landscape characteristics in...
