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Found 233 dataset(s) matching "Deep Learning".
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The INTEGRATE (Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements) project is developing a new inverse-design capability for the aerodynamic design...
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The ascii grids associated with this data release are predicted distributions of continuous pH at the drinking water depth zones in the groundwater of Central Valley, California. The two...
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Global demand for lithium, the primary component of lithium-ion batteries, greatly exceeds known supplies and this imbalance is expected to increase as the world transitions away from fossil fuel...
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This research software package contains Python code to execute experiments on deep generative modeling of classical random process models for noise time series. Specifically, it includes Pytorch...
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Data from: Efficient imaging and computer vision detection of two cell shapes in young cotton fibers
<p><strong>Methods</strong></p> <p>Cotton plants were grown in a well-controlled greenhouse in the NC State Phytotron as described previously (Pierce et al, 2019). Flowers were tagged on the day...
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The ascii grids represent regional probabilities that groundwater in a particular location will have dissolved oxygen (DO) concentrations less than selected threshold values representing anoxic...
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<p>Effective multi-level autonomous piloting systems require integration with safety-critical functions. The Expandable Variable-Autonomy Architecture&nbsp;(EVAA)&nbsp;project seeks...
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Synthetic training and test datasets for experiments on deep generative modeling of noise time series. Consists of data for the following noise types: 1) band-limited thermal noise, i.e.,...
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IBACOS and Green Homes America 1 (GHA) collaborated with the New York State Energy Research and Development Authority (NYSERDA) Advanced Buildings Program to research a variation of a commercial...
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Nearly 20 years after first finding the sunken remains of the RMS Titanic, marine explorer Robert Ballard returned in June 2004 to help the National Oceanic and Atmospheric Administration (NOAA)...
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Learn about the biological, ecological, oceanographic, and socioeconomic conditions around the time of marine protected area (MPA) implementation on the North Coast. The North Coast region...