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Federal
NIST/SEMATECH e-Handbook of Statistical Methods (NIST Handbook 151)
National Institute of Standards and Technology —
The NIST/SEMATECH e-Handbook of Statistical Methods is a Web-based book written to help scientists and engineers incorporate statistical methods into their work as... -
Federal
Vegetation cover, ground cover, plant mortality, and species abundance across an experimental drought treatment on the Colorado Plateau from 2010-2022
Department of the Interior —
These data were compiled to assess the response of vegetation and biological soil crusts to drought in a semi-arid ecosystem on the Colorado Plateau near Moab, Utah.... -
Federal
A mathematical framework to correct for compositionality in microbiome datasets
National Institute of Standards and Technology —
This repository provides the raw data and analysis code used to demonstrate the implementation of a mathematical framework that uses internal standards to correct for... -
Federal
Precipitation, soil moisture, and vegetation data from 36 experimental plots in southeastern Utah, near Canyonlands National Park (2015 - 2018)
Department of the Interior —
These data were compiled for a study that investigated the effects of drought seasonality and plant community composition on two dominant perennial grasses,... -
Federal
Utah FORGE 5-2557: Trixial Shear and Wellbore Breakout Tests Report and Data
Department of Energy —
Included are a report and data from triaxial shear tests on simulated Sierra White fault gouge and a borehole stimulation experiment. This serves as a progress report... -
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
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
Envrionmental DNA data for Refinement of eDNA as an early monitoring tool at the landscape-level: Data
Department of the Interior —
These environmental DNA data and corresponding water quality data were collected and analyzed by the Fish and Wildlife Service in 2017. The samples were collected... -
Federal
Carbon Crops Study for Greenhouse gas Reduction through Agricultural Carbon Enhancement network and Resilient Economic Agricultural Practices in Morris, Minnesota
Department of Agriculture —
Carbon Crops Study for Greenhouse gas Reduction through Agricultural Carbon Enhancement network and Resilient Economic Agricultural Practices in Morris, Minnesota The... -
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...