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Displaying datasets 76 - 85 of 85 in total
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Pence, Justin; Mohaghegh, Zahra (2018): DT-BASE - Training Quality Causal Model. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-3357538_V3
Dataset includes structure and values of a causal model for Training Quality in nuclear power plants. Each entry refers to a piece of evidence supporting causality of the Training Quality causal model. Includes bibliographic information, context-specific text from the reference, and three weighted values; (M1) credibility of reference, (2) causality determined by the author, and (3) analysts confidence level. (M1, M2, and M3) Weight metadata are based on probability language from <a href="https://www.ipcc.ch/ipccreports/tar/vol4/english/index.htm" style="text-decoration: none" >Intergovernmental Panel on Climate Change (IPCC), Climate Change 2001: Synthesis Report</a>. The language can be found in the “Summary for Policymakers” section, in the PDF format. Weight Metadata: LowerBound_Probability, UpperBound_Probability, Qualitative Language 0.99, 1, Virtually Certain 0.9, 0.99, Very Likely 0.66, 0.9, Likely 0.33, 0.66, Medium Likelihood 0.1, 0.33, Unlikely 0.01, 0.1, Very Unlikely 0, 0.01, Extremely Unlikely
Data-Theoretic; Training; Organization; Probabilistic Risk Assessment; Training Quality; Causal Model; DT-BASE; Bayesian Belief Network; Bayesian Network; Theory-Building
Park, Jungsik; Le, Brian; Sklenar, Joseph; Chern, Gia-wei; Watts, Justin; Schiffer, Peter (2017): Data from: Magnetic response of brickwork artificial spin ice. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-1528275_V1
Transport and MFM data of brickwork artificial spin ice composed of permalloy are included, which are reproductions of the data in an article named "Magnetic response of brickwork artificial spin ice". Transport data represent magnetic response of connected brickwork artificial spin ice, and MFM data represent how both connected and disconnected brickwork artificial spin ice react to external magnetic fields. SEM images of typical samples are included, where individual nanowire leg (island) is approximately 660 nm long and 140 nm wide with a 40 nm thickness. For the transport, each sample was measured in a longitudinal and a transverse geometry. Red curves are the 2500 Oe to -2500 Oe sweeps and the blue curves are -2500 Oe to 2500 Oe sweeps. Transport measurements were taken by using a standard 4-wire technique. Each plot was saved in pdf format.
Zhang, Qian; Li, Chunyan (2016): Model dataset for the Wax Lake delta. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9511904_V1
This dataset is the numerical simulation data of the computational study of the cold front-related hydrodynamics in the Wax Lake delta. The numerical model used is ECOM-si.
Wax Lake delta; Hydrodynamics; Cold front
Zhang, Qian (2016): Public agency data of the Wax Lake delta. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4871125_V1
This dataset includes data of the the Wax Lake delta from four public agencies: NGDC, USGS, NDBC, and NOAA CO-OPS. Besides the original data, the processed data associated with analyzed figures are also shared.
Wax Lake delta; NOAA CO-OPS; NGDC; USGS; NDBC
Zhang, Qian; Li, Chunyan (2016): Bathymetry data of the Wax Lake delta (2012-12-01). University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4810873_V1
This dataset is the field measurements of water depth at the Wax Lake delta on the date 2012-12-01.
Wax Lake delta; Bathymetry
Zhang, Qian; Chunyan, Li; Braud, Dewitt (2016): LIDAR data for the Wax Lake delta. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-3764213_V1
This dataset is about a topographic LIDAR survey (saved in “waxlake-lidar.img”) that was conducted over the Wax Lake delta, between longitudes −91.5848 to −91.292 degrees, and latitudes 29.3647 to 29.6466 degrees. Different from other elevation data, the positive value in the LIDAR data indicates land elevation, while the zero value implies riverbed without identifying specific water depth.
LIDAR; Wax Lake delta
Zhang, Qian; Li, Chunyan (2017): Meterology and ocean data collected at LSU WAVCIS Lab. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2436375_V1
This dataset includes both meteorology and oceanography data collected at stations (CSI03, CSI06, and CSI09) near the Gulf of Mexico from the LSU WAVCIS (Waves-Current-Surge Information System) lab. The associated data analysis visualization is also saved in separate directories.
WAVCIS; Gulf of Mexico; Meteorology; Oceanography
Zhang, Qian; Li, Chunyan (2016): Current data of the Wax Lake delta. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-1752285_V1
This dataset is the field measurements of currents at two stations (Big Hogs Bayou and Delta1) in the the Wax Lake delta in November 2012 and February 2013.
Wax Lake delta; Currents
Zhang, Qian; Li, Chunyan (2016): Bathymetry data of the Wax Lake delta (late 2012). University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-1001307_V1
This dataset is the field measurements of water depth at the Wax Lake delta conducted in late 2012.
Wax Lake delta; Bathymetry
Marshak, Stephen; Domrois, Stefanie; Abert, Curtis; Larson, Timothy (2016): DEM of the Great Unconformity, USA cratonic platform. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-7546972_V1
These show the topography and relief of the Precambrian surface of the Cratonic Platform of the United States.
precambrian; geology; relief; elevation