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Found 233 dataset(s) matching "Deep Learning".
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This data release contains input data used to test multi-scale modeling approaches for predicting water temperature in streams and rivers. The target application aims to predict stream temperature...
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This is a presentation on the Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks by GTC Analytics, presented by Jesse Williams. This video slide...
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Meta learning with LLM: supplemental code for reproducibility of computational results for MLT and MLT-plus-TM. Related research paper: "META LEARNING WITH LANGUAGE MODELS: CHALLENGES AND...
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<p>This section provides code for reproducing the figures in Rahmani et al. (2023b).</p> <p>The <a...
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<p>This section provides model simulation outputs from the models described by Rahmani et al. (2023b), as well as a subset of model outputs produced by Rahmani et al. (2021) that were used...
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<p>This section provides model code described by Rahmani et al. (2023b). This code accepts basin attributes and forcings and predicts stream temperatures using a differentiable model with...
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<p>This model archive (Rahmani et al. 2023a) provides all data, code, and model outputs used in Rahmani et al. (2023b) to improve model representations toward improved prediction of stream...
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<p>Climate change and land use change have been shown to influence lake temperatures and water clarity in different ways. To better understand the diversity of lake responses to climate change and...
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<p>This data release component contains shapefiles of river basin polygons and monitoring site locations coincident with the outlets of those basins. Three file formats describing basin...
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<p>Lake temperature is an important environmental metric for understanding habitat suitability for many freshwater species and is especially useful when temperatures are predicted...
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<p>This model archive (<a href="https://www.sciencebase.gov/catalog/item/66787f3ed34efbe36238c80a">Fan et al. 2025a</a>) provides all data, code, and model outputs used in the...
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<p>This model archive component contains model codes used in the methods experiments of Fan et al. (2025b). Code files are archived within a single zip file, code.zip, that preserves the...
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<p>This model archive component contains shapefiles of (1) coarse (NHGFv1.1 / NHM) stream network polylines for the Delaware River Basin and (2) fine (NHDPlusV2.1) stream network polylines...
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This report describes the development of a preliminary 3D seismic velocity model at the Utah FORGE site and first results from estimating seismic resolution in the generated fracture volume during...
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<p>This model archive component contains model inputs used in the methods experiments of Fan et al. (2025b).</p> <p>The parent model archive (<a...
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<p>This model archive component contains model weights, inputs, outputs, and performance metrics for the source coarse model for which downscaling was desired. Some methods in Fan et al....
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<p>Climate change and land use change have been shown to influence lake temperatures and water clarity in different ways. To better understand the diversity of lake responses to climate...
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This dataset provides shapefile outlines of the 881 lakes that had temperature modeled as part of this study. The format is a shapefile for all lakes combined (.shp, .shx, .dbf, and .prj files). A...
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This dataset includes model inputs (specifically, weather, water clarity, and flags for predicted ice-cover) and is part of a larger data release of lake temperature model inputs and outputs for...
