Search results for Bayesian
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13 datasets for “Bayesian”
- Data.gov Catalog
Bayesian network model outputs of the probability of habitat availability per winter month for young of year Gulf Sturgeon at a 30-m pixel scale in Apalachicola Bay, FL for 35 physiological and habitat scenarios
U.S. Geological SurveyUpdated 20 Jan 2021
This USGS data release represents 35 geospatial datasets that were the Gulf Sturgeon Bayesian network model's outputs …
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- Data.gov Catalog
Modeled Stream Metabolism in Boulder Creek near Boulder, CO (2016 - 2018)
U.S. Geological SurveyUpdated 24 Jul 2026
Note: This data release has been deprecated. Please see new data release here: https://doi.org/10.5066 …
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- Data.gov Catalog
Seabeach Amaranth Presence-Absence Data, Assateague Island National Seashore, 2014
U.S. Geological SurveyUpdated 26 Apr 2023
Seabeach amaranth (Amaranthus pumilus) is a federally threatened plant species that was once prevalent on beaches of the …
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- Data.gov Catalog
NCHS - Teen Birth Rates for Age Group 15-19 in the United States by County
Centers for Disease Control and PreventionUpdated 22 Sept 2026
… Hierarchical Bayesian space–time models were used to generate hierarchical Bayesian estimates of county teen birth rates for …
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- data.gov.au
Setting economic target reference points for multiple species in mixed fisheries
Australian Bureau of Agricultural and Resource Economics and SciencesUpdated 9 Aug 2023
… regression tree analysis and the Bayesian Network approach. Sensitivity tests were also conducted on all 4 models. The …
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- Data.gov Catalog
Cedar Island, VA, 2014: shoreline, inletLines: Shoreline polygons and tidal inlet delineations
U.S. Geological SurveyUpdated 27 Feb 2026
… the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects …
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- Data.gov Catalog
Cardiovascular Disease Death Rates, Trends, and Excess Death Rates Among US Adults (35+) by County and Age Group – 2010-2020
Centers for Disease Control and PreventionUpdated 22 Sept 2026
… All estimates were generated using a Bayesian spatiotemporal model and a smoothed over space, time, and 10-year …
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- Data.gov Catalog
Rates and Trends in Heart Disease and Stroke Mortality Among US Adults (35+) by County, Age Group, Race/Ethnicity, and Sex – 2000-2019
Centers for Disease Control and PreventionUpdated 22 Sept 2026
… The rates and trends were estimated using a Bayesian spatiotemporal model and a smoothed over space, time, and …
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- Data.gov Catalog
Rates and Trends in Hypertension-related Cardiovascular Disease Mortality Among US Adults (35+) by County, Age Group, Race/Ethnicity, and Sex – 2000-2019
Centers for Disease Control and PreventionUpdated 22 Sept 2026
… The rates and trends were estimated using a Bayesian spatiotemporal model and a smoothed over space, time, and …
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- Open Government Canada
Factors affecting intraspecific diet variation of ducklings
Environment and Climate Change Canada | Environnement et Changement climatique CanadaUpdated 10 Dec 2024
… gradients in relative resource abundance, we used hierarchical Bayesian stable isotope mixing models to estimate (i) assimilated diets …
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- Open Government Canada
Evaluating carbon (δ13C) and nitrogen (δ15N) isotope discrimination in a captive model to better understand carry-over effects in oviparous species
Environment and Climate Change Canada | Environnement et Changement climatique CanadaUpdated 30 Jul 2026
… We calculated diet and component specific TDFs and then used these values in Bayesian stable isotope mixing models …
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- Data.gov Catalog
Radiocarbon dating of silicified wood from around Artemisia Geyser in the Upper Geyser Basin, Yellowstone National Park
U.S. Geological SurveyUpdated 4 Sept 2024
… The Bayesian software package Bchron (Haslett and Parnell, 2008) was used with the measured radiocarbon ages and the …
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- Open Government Canada
North American Breeding Bird Survey: Population trends and annual indices, data-version 2024
Environment and Climate Change Canada | Environnement et Changement climatique CanadaUpdated 18 Aug 2026
… The estimates were produced using a spatially explicit, hierarchical Bayesian statistical model (references in the read me file …
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