334 datasets found
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Federal
Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI)
Department of Energy —
Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI) introduces machine learning methods to incorporate high-resolution Urban Heat Island... -
Federal
Utah FORGE 6-3629: Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation - 2024 Annual Workshop Presentation
Department of Energy —
This is a presentation on the Cutting Edge Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation by the... -
Federal
Machine-learning model predictions and groundwater-quality rasters of specific conductance 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
GrainGenes- A Global Data Repository for Small Grains
Department of Agriculture —
GrainGenes is an international, centralized crop database for peer-reviewed small grains data and information portal that serves the small grains research and... -
Federal
Process-guided deep learning water temperature predictions: 2 Model configurations (lake metadata and parameter values)
Department of the Interior —
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... -
Federal
GeoThermalCloud framework for fusion of big data and multi-physics models in Nevada and Southwest New Mexico
Department of Energy —
Our GeoThermalCloud framework is designed to process geothermal datasets using a novel toolbox for unsupervised and physics-informed machine learning called... -
Federal
Utah FORGE 2-2439v2: Characterizing In-Situ Stress with Laboratory Modelling and Field Measurements - 2024 Annual Workshop Presentation
Department of Energy —
This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the Utah FORGE Site: Laboratory Modelling and Field Measurements project by... -
Federal
Annotated fish imagery data for individual and species recognition with deep learning
Department of the Interior —
We provide annotated fish imagery data for use in deep learning models (e.g., convolutional neural networks) for individual and species recognition. For individual... -
Federal
**SUPERSEDED** Software and Data for Modeling OFDM Communication Signals with Generative Adversarial Networks
National Institute of Standards and Technology —
This software and data have been superseded. Please visit https://doi.org/10.18434/mds2-2532 -
Federal
Process-guided deep learning water temperature predictions: 6c All lakes historical evaluation data
Department of the Interior —
This dataset includes evaluation data ("test" data) and performance metrics for water temperature predictions from multiple modeling frameworks. Process-Based (PB)... -
Federal
Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk
Department of Energy —
In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in... -
Federal
Groundwater nitrate data and ascii grids of predicted nitrate and model inputs for the Central Valley aquifer, California, USA
Department of the Interior —
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... -
Federal
Software for Evaluating Convolutional Generative Adversarial Networks with Classical Random Process Noise Models
National Institute of Standards and Technology —
This research software package contains Python code to execute experiments on deep generative modeling of classical random process models for noise time series.... -
Federal
Process-guided deep learning water temperature predictions: 6b Sparkling Lake detailed evaluation data
Department of the Interior —
This dataset includes "test data" compiled water temperature data from an instrumented buoy on Sparkling Lake, WI and discrete (manually sampled) water temperature... -
Federal
Predictions and supporting data for network-wide 7-day ahead forecasts of water temperature in the Delaware River Basin: 2) model driver data
Department of the Interior —
This data release contains the forcings and outputs of 7-day ahead maximum water temperature forecasting models that makes predictions at 70 river reaches in the... -
Federal
Active Evaluation Software for Selection of Ground Truth Labels
National Institute of Standards and Technology —
This software repository contains a python package Aegis (Active Evaluator Germane Interactive Selector) package that allows us to evaluate machine learning systems's... -
Federal
3-D Geologic Controls of Hydrothermal Fluid Flow at Brady Geothermal Field, Nevada using PCA
Department of Energy —
In many hydrothermal systems, fracture permeability along faults provides pathways for groundwater to transport heat from depth. Faulting generates a range of... -
Federal
Datasets for manuscript "Predicting chemical end-of-life scenarios using structure-based classification models"
U.S. Environmental Protection Agency —
As described in the README.md file, the GitHub repository github.com/USEPA/PRTR-QSTR-models/tree/data-driven are Python scripts written to run Quantitative... -
Federal
Input data, model output, and R scripts for a machine learning streamflow model on the Wyoming Range, Wyoming, 2012–17
Department of the Interior —
A machine learning streamflow (MLFLOW) model was developed in R (model is in the Rscripts folder) for modeling monthly streamflow from 2012 to 2017 in three... -
Federal
TEAMER: Weekly Reports for Environmental Monitoring and Data Analysis around a Tidal Energy Converter in Sequim Bay, WA
Department of Energy —
This dataset includes weekly reports pertaining to the Turbine Lander and Lander Adaptable Monitoring Package (LAMP) deployments in Sequim Bay, WA (2023-2024)....
334 datasets found