Found 87 datasets matching "Hierarchical Models".
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The data and code that accompanies the book chapter Bayesian Hierarchical Models for Service Life Prediction of Polymers.
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These data contain several publicly-available data sets that are used to elucidate the methods in the paper, including data on seal counts in Alaska, county-aggregated demographic data, and heavy...
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The South Florida Water Management District (SFWMD) and the U.S. Geological Survey (USGS) have evaluated projections of future droughts for south Florida based on climate model output from the...
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The South Florida Water Management District (SFWMD) and the U.S. Geological Survey (USGS) have evaluated projections of future droughts for south Florida based on climate model output from the...
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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...
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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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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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Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the mean of the predicted posterior distribution for raven occurrence was used to visualize results.
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An index of anthropogenic influences on raven populations. Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the means of the posterior...
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A study comparing reintroduction scenarios for the San Francisco gartersnake (Thamnophis sirtalis tetrataenia), an endangered subspecies native to San Mateo County and Santa Cruz County in...
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Predictions of raven occurrence in the absence of anthropogenic environmental effects. Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the...
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Predictions of raven occurrence in the absence of natural environmental effects. Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the means...
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Two data sets including the group size analysis (All_Sheep_Groups_GroupSizeAnalysis.csv) and the case study in Wrangell St. Elias National Park and Preserve (WRST_CaseStudy.csv), both of which...
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These tables serve as input data for hierarchical models investigating interactions between raven density and Greater Sage-grouse nest success. Observations were recorded over an 11 year time...
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CLAIRE MONTELEONI*, GAVIN SCHMIDT**, AND SHAILESH SAROHA*** Climate models are complex mathematical models designed by meteorologists, geophysicists, and climate scientists to simulate and...
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This dataset includes the python scripts and output results for fitting SAFT models to the phase equilibrium density, pressure, and speed of sound for refrigerants. A conda environment file is...
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These data represent predicted common raven (Corvus corax) density (ravens/square-km) derived from random forest models given field site unit-specific estimates of raven density that were obtained...
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We developed habitat selection models for Gunnison sage-grouse (Centrocercus minimus), a threatened species under the U.S. Endangered Species Act. We followed a management-centric modeling...
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Ranked habitat classes for sage-grouse brood-rearing productivity at each 90 m pixel. Habitat classes represent areas where high brood selection and high brood survival intersected, whereas the...
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