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Found 900 dataset(s) matching "learning models".
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There are 3 child zip files included in this data release. 01_Codebase.zip contains a codebase for using deep learning to filter images based on the probability of any bird occurrence. It...
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This data set provides heat detector temperatures in a single story three-compartment structure. 1000 sets of detector temperatures are generated using CData [1]. The data set are obtained based...
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This is the companion dataset to the presentation NREL/PR-6A20-77485, which was presented at the 2020 Joint Statistical Meeting on August 3, 2020. Developed for the machine-learning predictive...
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Results from generalized additive models (GAM), random forest models (RFM), and cubist models (CUB) for three Dauphin Island Sealab (DIS) operated salinity sites in Mobile Bay are reported in this...
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Observed and modeled data shown in figure 2b-c. This dataset is associated with the following publication: Mao, J., A. Carlton, R. Cohen, W. Brune, S. Brown, G. Wolfe, J. Jimenez, H. Pye, N.L....
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<p>This data release component contains model code and configurations for the LSTM and linear regression models used to predict stream temperature.</p>
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<p>This data release component contains model inputs including river basin attributes, weather forcing data, and simulated and observed river discharge.</p>
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<p>This data release component contains evaluation metrics used to assess the predictive performance of each stream temperature model. For further description, see the metric calculations in...
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<p>This data release component contains water temperature predictions in 118 river catchments across the U.S. Predictions are from the four models described by Rahmani et al. (2020):...
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This data release contains one dataset and one model archive in support of the journal article "Leveraging machine learning to automate regression model evaluations for large multi-site...
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The datasets include hydrological parameters such as streamflow, soil moisture and water temperature, and meteorological data such as precipitation, max and min temperature, evaporation from 2002...
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A dataset of Landsat, Sentinel, and Planetscope satellite images of coastal shoreline regions, and corresponding semantic segmentations. The dataset consists of folders of images and label images....
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The U.S. Geological Survey is developing national water-use models to support water resources management in the United States. Model benefits include a nationally consistent estimation approach,...
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Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission...
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<p>This data release provides all data and code used in Rahmani et al. (2020) to model stream temperature and assess results. Briefly, we used a subset of the USGS GAGES-II dataset as a test...
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<p>This data release component contains model code and configurations for the LSTM models used to predict stream temperature.</p>
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<p>This data release component contains model inputs including river basin attributes, weather forcing data, and simulated and observed river discharge.</p>
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<p>This data release component contains a shapefile of monitoring site locations coincident with the outlets of the 118 river basins modeled by Rahmani et al. (2020).<\p>
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<p>This data release item contains water temperature predictions for 455 river sites across the U.S. Predictions are from the models described by Rahmani et al. (2021b).</p>
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<p>This data release component contains mean daily stream water temperature observations, retrieved from the USGS National Water Information System (NWIS) and used to train and validate all...
