334 datasets found
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Federal
Dataset for paper Y. Ma, S. Mosleh and J. Coder, "Analyzing 5G NR-U and WiGig Coexistence with Multiple-Beam Directional LBT," 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), 2022, pp. 272-275, doi: 10.1109/CCNC49033.2022.9700690
National Institute of Standards and Technology —
This project produces synthetic datasets of spectrum sharing simulation results (I/Q data, metadata, and KPIs). -
Federal
Prediction grids of pH for the Mississippi River Valley Alluvial and Claiborne Aquifers
Department of the Interior —
Groundwater is a vital resource to the Mississippi embayment region of the central United States. Regional and integrated assessments of water availability that link... -
Federal
Satellite-derived shorelines and foredune toes along Minnesota Point (Duluth, MN) from 2016 to 2023
Department of the Interior —
This data release contains 2 shapefiles which include 626 unique shorelines and 3 foredune toes spanning 2016 to 2023 along Minnesota Point, a 9-kilometer long bay-... -
Federal
Dataset for paper Y. Ma, S. Mosleh and J. Coder, "Analyzing 5G NR-U and WiGig Coexistence with Multiple-Beam Directional LBT," 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), 2022, pp. 272-275, doi: 10.1109/CCNC49033.2022.9700690
National Institute of Standards and Technology —
This project produces synthetic datasets of spectrum sharing simulation results (I/Q data, metadata, and KPIs). -
Federal
Multilayer perceptron classifier and shoreline extraction model archive for Minnesota Point PlanetScope satellite imagery
Department of the Interior —
A site-specific multilayer perceptron model was developed to classify PlanetScope satellite imagery of Minnesota Point, and the classifier was paired with a shoreline... -
Federal
Geochemistry and paleo-geothermal features - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
Department of Energy —
This submission contains the geochemistry dataset and paleo-geothermal features (sinter, travertine, tufa) (shapefiles and symbology) used in the Nevada Geothermal... -
Federal
Machine-learning model predictions and groundwater-quality rasters of chloride in aquifers of the Mississippi Embayment
Department of the Interior —
Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict... -
Federal
Data and model code in support of Stream nitrate dynamics driven primarily by discharge and watershed physical and soil characteristics at intensively monitored sites, Insights from deep learning
Department of the Interior —
We developed a suite of models using deep learning to make hindcast predictions of the 7-day average backward-looking nitrate concentration at 46 predominantly... -
Federal
Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 4 Model inputs (meteorological inputs, clarity, and ice flags)
Department of the Interior —
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... -
Federal
Predicting water temperature in the Delaware River Basin: 3 Model configurations
Department of the Interior —
This dataset includes model parameters and metadata used to configure models. -
Federal
Model code, outputs, and supporting data for approaches to process-guided deep learning for groundwater-influenced stream temperature predictions
Department of the Interior —
This model archive provides all data, code, and modeling results used in Barclay and others (2023) to assess the ability of process-guided deep learning stream... -
Federal
Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 7 thermal and optical habitat estimates
Department of the Interior —
Using predicted lake temperatures from uncalibrated, process-based models (PB0) and process-guided deep learning models (PGDL), this dataset summarized a collection... -
Federal
Process-guided deep learning water temperature predictions: 6a Lake Mendota detailed evaluation data
Department of the Interior —
This dataset includes "test data" compiled water temperature data from an instrumented buoy on Lake Mendota, WI and discrete (manually sampled) water temperature... -
Federal
Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 1 Spatial information
Department of the Interior —
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.... -
Federal
Process-guided deep learning water temperature predictions: 3a Lake Mendota inputs
Department of the Interior —
This dataset includes model inputs that describe local weather conditions for Lake Mendota, WI. Weather data comes from two sources: locally measured (2009-2017) and... -
Federal
Data from: Single-kernel NIR spectroscopy for non-destructive rice bran color discrimination across diverse hull types and production environments
Department of Agriculture —
Uniformity of rice bran color is important in the whole grain rice market as well as in seed rice production. Normally, determining bran color requires the removal of... -
Federal
Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia - Maximum Change Likelihood
Department of the Interior —
Coastal resources are increasingly impacted by erosion, extreme weather events, sea-level rise, tidal flooding, and other potential hazards related to climate change.... -
Federal
A deep learning model and associated data to support understanding and simulation of salinity dynamics in Delaware Bay
Department of the Interior —
Salinity dynamics in the Delaware Bay estuary are a critical water quality concern as elevated salinity can damage infrastructure and threaten drinking water... -
Federal
FengChang et al_ML Output.xlsx
U.S. Environmental Protection Agency —
Outputs from WRF, EPIC, VIC. Outputs and analysis from the ML-based model described in the paper. This dataset is associated with the following publication: Feng... -
Federal
Utah FORGE 2-2439v2: Reports on Stress Prediction and Modeling for Well 16B(78)-32 - May 2025
Department of Energy —
These two reports from the University of Pittsburgh document related efforts under Utah FORGE Project 2-2439v2 to estimate in-situ stresses in well 16B(78)-32 using...
334 datasets found