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Federal
NIST Statistical Reference Datasets - SRD 140
Department of Commerce —
The purpose of this project is to improve the accuracy of statistical software by providing reference datasets with certified computational results that enable the... -
Federal
NIST Statistical Reference Datasets - SRD 140
National Institute of Standards and Technology —
The purpose of this project is to improve the accuracy of statistical software by providing reference datasets with certified computational results that enable the... -
Federal
Sierra Nevada Landbirds Fire Analysis Monitoring Data Package, 1999-2019
Department of the Interior —
This dataset represents inputs for a hierarchical Bayesian model of bird population density with respect to fire history in Yosemite National Park (YOSE) and Sequoia... -
Federal
Optimal Bayesian Experimental Design
Department of Commerce —
Python module "optbayesexpt" uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters.... -
Federal
Development and application of a systematic and quantitative weighting framework to evaluate the quality and relevance of relative potency estimates for dioxin-like compounds (DLCs) for human health risk assessment
U.S. Environmental Protection Agency —
Supplementary data for "Wikoff D, Ring C, DeVito M, Walker N, Birnbaum L, Haws L. Development and application of a systematic and quantitative weighting framework to... -
Federal
Nassau Co. cleaned data
U.S. Environmental Protection Agency —
Data used for modeling and ms. preparation. This dataset is associated with the following publication: Myer, M., and J. Johnston. Spatiotemporal Bayesian modeling of... -
Federal
Optimal Bayesian Experimental Design Version 1.0.1
National Institute of Standards and Technology —
Python module 'optbayesexpt' uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters.... -
Federal
Scripts, data and plotting for "Simplified algorithms for adaptive experiment design in parameter estimation" v.2
Department of Commerce —
Examples of adaptive measurement protocols using optimal Bayesian experiment design. This dataset supports "Simplified algorithms for adaptive experiment design in... -
Federal
Estimation of species- and sex-specific PFAS pharmacokinetics in mice, rats, and non-human primates using a Bayesian hierarchical methodology dataset
U.S. Environmental Protection Agency —
This dataset is a collection of .csv's for extracted data from the literature, processing code, and final analysis for manuscript. This dataset is not publicly... -
Federal
Mapping Aedes aegypti and Ae. albopictus vector mosquito distribution in Brownsville, Texas
U.S. Environmental Protection Agency —
Data supports the publication "Mapping Aedes aegypti (Diptera: Culicidae) and Aedes albopictus Vector Mosquito Distribution in Brownsville, TX". We investigated the... -
Federal
Optimal Bayesian Experimental Design Version 1.0.1
Department of Commerce —
Python module 'optbayesexpt' uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters.... -
Federal
Source of the Refl1d program for modeling and analyzing neutron and X-ray reflectometry data, with the addition of distributed roughness capability.
Department of Commerce —
Source of the Refl1d program for modeling and analyzing neutron and X-ray reflectometry data, with the addition of distributed roughness capability. -
Federal
A Spatio-Temporal Modeling Approach to Forecasting High-Risk Freshwater Cyanobacterial Harmful Algal Blooms in Florida
U.S. Environmental Protection Agency —
Data support the publication "Spatio-Temporal Modeling For Forecasting High-Risk Freshwater Cyanobacterial Harmful Algal Blooms in Florida". This dataset is... -
Federal
Optimal Bayesian Experimental Design Version 1.2.0
Department of Commerce —
Python module 'optbayesexpt' uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters.... -
Federal
Datasets to reproduce the exploratory Bayesian network developed in USGS SIR 2018-5053 for estimating water-quality parameters at streamgage 03374100 White River at Hazleton, Indiana, 1973-2016
Department of the Interior —
This U.S. Geological Survey (USGS) data release contains the data used in the USGS Scientific Investigations Report 2018-5053 entitled "An exploratory Bayesian... -
Federal
Source of the Refl1d program for modeling and analyzing neutron and X-ray reflectometry data, with the addition of distributed roughness capability.
National Institute of Standards and Technology —
Source of the Refl1d program for modeling and analyzing neutron and X-ray reflectometry data, with the addition of distributed roughness capability. -
Federal
Optimal Bayesian Experimental Design Version 1.2.0
National Institute of Standards and Technology —
Python module 'optbayesexpt' uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters.... -
Federal
Optimal Bayesian Experimental Design
National Institute of Standards and Technology —
Python module "optbayesexpt" uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters.... -
Federal
Machine Learning Model Geotiffs - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
Department of Energy —
This submission contains geotiffs, supporting shapefiles and readmes for the inputs and output models of algorithms explored in the Nevada Geothermal Machine Learning... -
Federal
Scripts, data and plotting for "Simplified algorithms for adaptive experiment design in parameter estimation" v.2
National Institute of Standards and Technology —
Examples of adaptive measurement protocols using optimal Bayesian experiment design. This dataset supports "Simplified algorithms for adaptive experiment design in...