-
Model predictions for heterogeneous stream-reservoir graph networks with...
<p>This data release provides the predictions from stream temperature models described in Chen et al. 2021. Briefly, various deep learning and process-guided deep learning... -
Estimated quantiles for the pour points of 9,203 level-12 hydrologic unit...
This page contains 15 estimated quantiles for 9,203 level-12 Hydrologic Unit Code in the Southeastern United States for the decades 1950-1959, 1960-1969, 1970-1979, 1980-1989,... -
Process-guided deep learning water temperature predictions: 2 Model...
This dataset provides model specifications used to estimate water temperature from a process-based model (Hipsey et al. 2019). The format is a single JSON file indexed for each... -
Process-guided deep learning water temperature predictions: 6c All lakes...
This dataset includes evaluation data ("test" data) and performance metrics for water temperature predictions from multiple modeling frameworks. Process-Based (PB) models were... -
Data for Modeling OFDM Communication Signals with Generative Adversarial Networks
This repository contains results for experiments on generative modeling of synthetic Orthogonal-Frequency Division Multiplexing (OFDM) communication signals. (This record... -
Predictive soil property map: Electrical conductivity (salinity)
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... -
Depth rasters of redox conditions in groundwater in the Mississippi River...
Groundwater is a vital resource in the Mississippi embayment physiographic region (Mississippi embayment) of the central United States and can be limited in some areas by high... -
Predictive soil property map: Surface rock
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... -
SolDet: Solitonic feature detection package
SolDet is an object-oriented package for solitonic feature detection in absorption images of Bose-Einstein condensate. with wider use for cold atom image analysis. Featured with... -
Machine-learning model predictions and groundwater-quality rasters of...
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 groundwater... -
Predictive soil property map: Calcium carbonate content
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... -
Process-guided deep learning water temperature predictions: 3 Model inputs...
This dataset includes model inputs (specifically, weather and flags for predicted ice-cover) and is part of a larger data release of lake temperature model inputs and outputs... -
Process-guided deep learning water temperature predictions: 4c All lakes...
Observed water temperatures from 1980-2018 were compiled for 68 lakes in Minnesota and Wisconsin (USA). These data were used as training data for process-guided deep learning... -
4 Model Code: Deep learning approaches for improving prediction of daily...
<p>This data release component contains model code and configurations for the LSTM models used to predict stream temperature.</p> -
Process-guided deep learning water temperature predictions: 6a Lake Mendota...
This dataset includes "test data" compiled water temperature data from an instrumented buoy on Lake Mendota, WI and discrete (manually sampled) water temperature records from... -
4 Model Code: Deep learning approaches for improving prediction of daily...
<p>This data release component contains model code and configurations for the LSTM models used to predict stream temperature.</p> -
Predictive soil property map: Fine sand content
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... -
Trojan Detection Software Challenge - Round 9 Train 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... -
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... -
Exploring the exceptional performance of a deep learning stream temperature...
<p>This data release component contains model inputs including river basin attributes, weather forcing data, and simulated and observed river discharge.</p>