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Federal
BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset
Department of Energy —
The BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of... -
Federal
Image dataset of plant-parasitic nematodes associated with cool-season turfgrass for machine learning and deep learning classification algorithms
Department of Agriculture —
The dataset contains micrographs of Hoplolaimus, Helicotylenchus, Meloidogyne, Mesocriconema, Pratylenchus, Trichodorus, and Tylenchorhynchus nematodes. The data were... -
Federal
Estimated floodplain map for the conterminous United States
U.S. Environmental Protection Agency —
Understanding the relationship between flood inundation and floodplains is critical for ecosystem and community health and well-being, as well as targeting floodplain... -
Federal
USDA-ARS Tucson, Arizona 2014-2022 Data Reservoir of Field Experiments with Managed Honey Bee Colonies: Annotated Hive Frame Photos: Dataset I
Department of Agriculture —
In 2014–2022, USDA-ARS Tucson, AZ, by itself and in collaboration with other precision apiculture (PA) research programs, including the PA program at Utah State... -
Federal
Artificial Intelligence for Robust Integration of AMI and Synchrophasor Data to Significantly Boost Solar Adoption
Department of Energy —
The overarching goal of the project is to create a highly efficient framework of machine learning (ML) methods that provide consistent and accurate real-time... -
Federal
Salton Sea Geodatabase for Geothermal Exploration Artificial Intelligence
Department of Energy —
These files contain the geodatabases related to Salton Sea Geothermal Field. It includes all input and output files used with the Geothermal Exploration Artificial... -
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
Training dataset and results for geothermal exploration artificial intelligence, applied to Brady Hot Springs and Desert Peak
Department of Energy —
The submission includes the labeled datasets, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model: -... -
Federal
TEAMER: Underwater Target Detection Software Demonstration on the RivGen Turbine
Department of Energy —
This repository includes data, object detection models, and processing scripts necessary to evaluate the accuracy of the object detection models created for the... -
Federal
A Data-Driven Approach to Complex Voxel Predictions in Grayscale Digital Light Processing Additive Manufacturing Using U-nets and Generative Adversarial Networks
National Institute of Standards and Technology —
Digital light processing (DLP) vat photopolymerization (VP) additive manufacturing (AM) uses patterned UV light to selectively cure a liquid photopolymer into a solid... -
Federal
Data from: Modeling the Spread of a Livestock Disease With Semi-Supervised Spatiotemporal Deep Neural Networks
Department of Agriculture —
This dataset contains the spatiotemporal data used to train the spatiotemporal deep neural networks described in "Modeling the Spread of a Livestock Disease With... -
Federal
Data from: Efficient imaging and computer vision detection of two cell shapes in young cotton fibers
Department of Agriculture —
Methods Cotton plants were grown in a well-controlled greenhouse in the NC State Phytotron as described previously (Pierce et al, 2019). Flowers were tagged on the... -
Federal
Drinking Water Microbiome Sequence Data Set
U.S. Environmental Protection Agency —
The fasta file (BM_OTU.fasta) contain the sequences of the bacterial 16S rRNA-encoding V4 region gene (≈250 nt) for each Operational Taxonomic Unit (OTU). This... -
Federal
Programs and Code for Geothermal Exploration Artificial Intelligence
Department of Energy —
The scripts below are used to run the Geothermal Exploration Artificial Intelligence developed within the "Detection of Potential Geothermal Exploration Sites from... -
Federal
Python Codebase and Jupyter Notebooks - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
Department of Energy —
Git archive containing Python modules and resources used to generate machine-learning models used in the "Applications of Machine Learning Techniques to Geothermal... -
Federal
Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results
Department of Energy —
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells... -
Federal
INGENIOUS - Great Basin Regional Dataset Compilation
Department of Energy —
This is the regional dataset compilation for the INnovative Geothermal Exploration through Novel Investigations Of Undiscovered Systems (INGENIOUS) project. The... -
Federal
Machine Learning Model Geotiffs - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
Department of Energy —
This submission contains geotiffs, supporting shapefiles and readmes for the inputs and output models of algorithms explored in the Nevada Geothermal Machine Learning...