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Prediction grids of pH for the Mississippi River Valley Alluvial and...
Groundwater is a vital resource to the Mississippi embayment region of the central United States. Regional and integrated assessments of water availability that link physical... -
Predictive soil property map: Rock content (>2mm)
These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin... -
ml_uncertainty: A Python module for estimating uncertainty in predictions of...
This software is a Python module for estimating uncertainty in predictions of machine learning models. It is a Python package that calculates uncertainties in machine learning... -
Multi-task Deep Learning for Water Temperature and Streamflow Prediction...
This item contains data and code used in experiments that produced the results for Sadler et. al (2022) (see below for full reference). We ran five experiments for the analysis,... -
Groundwater nitrate data and ascii grids of predicted nitrate and model...
This public data release contains two ascii grids comprising predicted nitrate concentrations (as NO3-N, mg/L) at two depth zones associated with private and public drinking... -
Methane and carbon dioxide emission rates from reservoirs in Ohio, Kentucky,...
This dataset contains methane and carbon dioxide emission rates measured in 32 reservoirs distributed across Ohio, Kentucky, and Indiana. Ancillary environmental data including... -
Predicting water temperature in the Delaware River Basin
<p>Daily temperature predictions in the Delaware River Basin (DRB) can inform decision makers who can use cold-water reservoir releases to maintain thermal habitat for... -
Process-guided deep learning water temperature predictions: 3a Lake Mendota inputs
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 gridded... -
3 Model Forcings: Deep learning approaches for improving prediction of daily...
<p>This data release component contains model inputs including river basin attributes, weather forcing data, and simulated and observed river discharge.</p> -
Predicting water temperature in the Delaware River Basin
<p>Daily temperature predictions in the Delaware River Basin (DRB) can inform decision makers who can use cold-water reservoir releases to maintain thermal habitat for... -
Process-guided deep learning water temperature predictions: 6b Sparkling...
This dataset includes "test data" compiled water temperature data from an instrumented buoy on Sparkling Lake, WI and discrete (manually sampled) water temperature records from... -
Trojan Detection Software Challenge - Round 8 Test Dataset
This is the training data used to construct and evaluate trojan detection software solutions. This data, generated at NIST, consists of natural language processing (NLP) AIs... -
Software for Evaluating Convolutional Generative Adversarial Networks with...
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... -
Predicted Calving and Post-calving Season Resource Use of the Porcupine...
This dataset contains rasters and polygon shapefiles related to predicted resource use of the Porcupine Caribou Herd (PCH) during the calving (26 May–10 June) and post-calving... -
Prediction grids of pH for the Mississippi River Valley Alluvial and...
Groundwater is a vital resource to the Mississippi embayment region of the central United States. Regional and integrated assessments of water availability that link physical... -
Trojan Detection Software Challenge - Round 8 Holdout Dataset
This is the training data used to construct and evaluate trojan detection software solutions. This data, generated at NIST, consists of natural language processing (NLP) AIs... -
5 Model Predictions: Deep learning approaches for improving prediction of...
<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.... -
Geochemistry and paleo-geothermal features - Applications of Machine...
This submission contains the geochemistry dataset and paleo-geothermal features (sinter, travertine, tufa) (shapefiles and symbology) used in the Nevada Geothermal Machine... -
Data for machine learning predictions of pH in the glacial aquifer system,...
A boosted regression tree (BRT) model was developed to predict pH conditions in three-dimensions throughout the glacial aquifer system (GLAC) of the contiguous United States... -
ISA Literature screening dataset v.1
This dataset contains one instance of the information used in searching and screening peer-reviewed literature to identify references to be used in EPA's Integrated Science...