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Growth and Capture-Mark-Recapture Data for San Francisco Gartersnakes, Thamno...
This dataset includes records of captures of San Francisco gartersnakes (Thamnophis sirtalis tetrataenia) collected at five sites from 2007 to 2020. The data include... -
Growth and Capture-Mark-Recapture Data for San Francisco Gartersnakes, Thamno...
This dataset includes records of captures of San Francisco gartersnakes (Thamnophis sirtalis tetrataenia) collected at five sites from 2007 to 2020. The data include... -
Datasets to reproduce the exploratory Bayesian network developed in USGS SIR ...
This U.S. Geological Survey (USGS) data release contains the data used in the USGS Scientific Investigations Report 2018-5053 entitled "An exploratory Bayesian network for... -
A Spatio-Temporal Modeling Approach to Forecasting High-Risk Freshwater Cyano...
Data support the publication "Spatio-Temporal Modeling For Forecasting High-Risk Freshwater Cyanobacterial Harmful Algal Blooms in Florida". This dataset is associated with the... -
Marginalizing Bayesian population models - data for examples in the Grand Can...
These data were compiled here to fit various versions of Bayesian population models and compare their performance, primarily the time required to make inferences using different... -
Marginalizing Bayesian population models - data for examples in the Grand Can...
These data were compiled here to fit various versions of Bayesian population models and compare their performance, primarily the time required to make inferences using different... -
Growth and Capture-Mark-Recapture Data for San Francisco Gartersnakes, Thamno...
This dataset includes records of captures of San Francisco gartersnakes (Thamnophis sirtalis tetrataenia) collected at five sites from 2007 to 2020. The data include... -
Datasets to reproduce the exploratory Bayesian network developed in USGS SIR ...
This U.S. Geological Survey (USGS) data release contains the data used in the USGS Scientific Investigations Report 2018-5053 entitled "An exploratory Bayesian network for... -
Marginalizing Bayesian population models - data for examples in the Grand Can...
These data were compiled here to fit various versions of Bayesian population models and compare their performance, primarily the time required to make inferences using different... -
NIST Statistical Reference Datasets - SRD 140
The purpose of this project is to improve the accuracy of statistical software by providing reference datasets with certified computational results that enable the objective... -
USGS occupancy surveys for Dixie Valley Toads, Anaxyrus williamsi, in Churchi...
Desert spring wetlands host many endemic species that require aquatic habitat and are isolated by the surrounding xeric terrestrial habitat. The Dixie Valley Toad (Anaxyrus... -
Optimal Bayesian Experimental Design Version 1.0.1
Python module 'optbayesexpt' uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters. Given an... -
Optimal Bayesian Experimental Design Version 1.2.0
Python module 'optbayesexpt' uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters. Given an... -
Datasets to reproduce the exploratory Bayesian network developed in USGS SIR ...
This U.S. Geological Survey (USGS) data release contains the data used in the USGS Scientific Investigations Report 2018-5053 entitled "An exploratory Bayesian network for... -
NIST Statistical Reference Datasets - SRD 140
The purpose of this project is to improve the accuracy of statistical software by providing reference datasets with certified computational results that enable the objective...