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Found 461 dataset(s) matching "Bayesian modeling".
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The main contents of this data release are estimates of daily and annual abundances of federally-threatened natural-origin age-0 fall Chinook salmon (Oncorhynchus tshawytscha) passing Lower...
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Rasters representing median raven density estimates, calculated from approximately 28,000 raven point count surveys conducted between 2009 and 2019. Estimates were the result of a Bayesian...
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This data release includes a table of concentrations (Sr, U) and radiogenic-isotope compositions (87Sr/86Sr, 234U/238U) for samples of modern lake water as well as a table of isotopic compositions...
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Map of cumulative 38-day nest survival predicted from a Bayesian hierarchical shared frailty model of sage-grouse nest fates. The midpoint of coefficient conditional posterior distributions of...
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Green and others (2021) developed a gradient boosted regression tree model to predict the mean groundwater age, or travel time, for shallow wells across a portion of the Great Lakes basin in the...
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The focus of this work is the analysis of different degradation phenomena based on thermal overstress and electrical overstress accelerated aging systems and the use of accelerated aging...
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<p dir="ltr">This dataset contains all the data and code needed to reproduce the model fitting, model predictions, and data visualizations from the manuscript:</p><p dir="ltr">Cottrell, T. E., Q....
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Data is CMAQ (Community Multiscale Air Quality) air quality modeling data contained in 12km grids (covering the eastern US) and 36 km grids (covering the entire US) for the years 2004, 2005, and...
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HF183/BacR287 qPCR standard control material and water sample measurements used to compare Bayesian and Traditional Fecal Score models. This dataset is associated with the following...
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This paper explores how the remaining useful life (RUL) can be assessed for complex systems whose internal state variables are either inaccessible to sensors or hard to measure under operational...
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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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The dataset include raw pollen counts, age model data, and pollen accumulation rates with uncertainty estimates for seven lake sites in the Klamath Mountains, California, USA. The raw pollen...
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DYNAMIC STRAIN MAPPING AND REAL-TIME DAMAGE STATE ESTIMATION UNDER BIAXIAL RANDOM FATIGUE LOADING SUBHASISH MOHANTY*, ADITI CHATTOPADHYAY*, JOHN N. RAJADAS**, AND CLYDE COELHO* Abstract....
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In this paper, we present an architecture and a formal framework to be used for systematic benchmarking of monitoring and diagnostic systems and for producing comparable performance assessments...
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An animal's energetic costs are dependent on the amount of time it allocates to various behavioral activities. For Arctic pinnipeds, the time allocated to active and resting behaviors could change...
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Grasslands are an imperiled ecosystem, and grassland bird abundance is declining across North America. One of the strongest drivers for these declines is woody plant encroachment of grasslands. In...
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Mitigating the effects of salinity (total dissolved solids [TDS]) and selenium on water quality in the lower Gunnison River Basin of western Colorado is a major concern for land managers. In...
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The application of the Bayesian theory of managing uncertainty and complexity to regression and classification in the form of Relevance Vector Machine (RVM), and to state estimation via Particle...
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We combined approximately 28,000 raven point count surveys with data from more than 900 sage-grouse nests between 2009 and 2019 within the Great Basin, USA. We modeled variation in raven density...
