Found 1604 datasets matching "uncertainty".
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Included here are figures and relevant data for the work "Estimating Uncertainty in Robot Kinematics and Pose Measurements with Expectation-Maximization". We present a method to validate the...
Search relevance: 102.79 | Views last month: 1 -
Bathymetric, topographic, and grain-size data were collected in April 2011 along a 27-mi (43.5 – km) reach of the Colorado River in Grand Canyon National Park, Arizona. The study reach begins at...
Search relevance: 100.34 | Views last month: 0 -
The associated data are measured and ICE predicted acute toxicity for five TSCA-regulated case study compounds used in the uncertainty analysis described in the associated manuscript. This...
Search relevance: 98.33 | Views last month: 0 -
The Method of Uncertainty Minimization using Polynomial Chaos Expansions (MUM-PCE) was developed as a software tool to constrain physical models against experimental measurements. These models...
Search relevance: 97.68 | Views last month: 0 -
A series of Jupyter notebooks documenting a self-guided, interactive curriculum for the PEST++ family of software codes for uncertainty analysis, parameter estimation, and management optimization.
Search relevance: 93.07 | Views last month: 4 -
The GitHub site has the dataset used to create the manuscript figures, which examined which simulation parameters influenced the spread of contamination within a water distribution system. The...
Search relevance: 92.65 | Views last month: 0 -
ml_uncertainty: A Python module for estimating uncertainty in predictions of machine learning models
This software is a Python module for estimating uncertainty in predictions of machine learning models. It is a Python package that calculates uncertainties in machine learning models using...
Search relevance: 91.86 | Views last month: 0 -
This dataset consists of time series and evaluation metrics (in comma-separated value format [.csv]) which are described in the Bock and others (2018) Advances in Water Resources research article...
Search relevance: 91.28 | Views last month: 0 -
Source Code for the manuscript "Characterizing Variability and Uncertainty for Parameter Subset Selection in PBPK Models" -- This R code generates the results presented in this manuscript; the...
Search relevance: 90.06 | Views last month: 3 -
Dunes with a high relative topography can often be easily distinguished in high-resolution lidar-based digital elevation models (DEMs). Thus, researchers have begun using relative topography...
Search relevance: 89.59 | Views last month: 0 -
This processed data is from TEAMER testing through RFTS 7 at the O.H. Hinsdale Wave Research Laboratory in Corvallis, Oregon. This testing was conducted by Oregon State University (OSU) and Sandia...
Search relevance: 89.35 | Views last month: 1 -
To reduce the geothermal exploration risk, a feasibility study is performed for a deep direct-use system proposed at the West Virginia University (WVU) Morgantown campus. This study applies...
Search relevance: 87.12 | Views last month: 0 -
This research project featured performing a large-scale Monte Carlo simulation (MCS) in the Global Timber Model (GTM). 277 runs were completed, and data from these scenarios were queried and...
Search relevance: 85.91 | Views last month: 0 -
This data release contains the models and their inputs and outputs needed to reproduce the findings for the publication by Soong and Over (2022), "Effect of Uncertainty of Discharge Data on...
Search relevance: 84.70 | Views last month: 0 -
S&T Project 1794 Final Report: Identifying Sources of Uncertainty in Flood Frequency Analyses Report
Reclamation partnered with scientists at NCAR to assess sensitivity and sources of uncertainty in rainfall runoff modeling to support flood frequency analyses. Pieces of the modeling chain,...
Search relevance: 83.77 | Views last month: 0 -
Prognostics deals with the prediction of the end of life (EOL) of a system. EOL is a random variable, due to the presence of process noise and uncertainty in the future inputs to the sys- tem....
Search relevance: 82.22 | Views last month: 1 -
These data represent low-lying lands and intertidal lands on Dauphin Island, Alabama, USA for January 2015. These data were delineated using airborne lidar elevation data, in situ elevation...
Search relevance: 81.75 | Views last month: 0 -
This dataset represents depth uncertainty predictions from a bathymetric model developed for the New York offshore spatial planning area. The model also includes spatially-explicit depth...
Search relevance: 80.09 | Views last month: 0 -
Climate change and climate variability impacts such as rising sea levels have the potential to exacerbate seawater intrusion and the strain on coastal freshwater resources in already stressed...
Search relevance: 78.28 | Views last month: 0 -
This dataset represents relative seabird abundance predictions from spatial models developed for the New York offshore spatial planning area. This raster was derived from multiple individual...
Search relevance: 78.00 | Views last month: 0
