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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
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
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
Spatiotemporal modeling of WNV in mosquitoes in Suffolk County
U.S. Environmental Protection Agency —
R code and dataset to produce spatial models. This dataset is associated with the following publication: Meyer, M., S. Campbell, and J. Johnston. Spatiotemporal... -
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...