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121 datasets for “learning models”

  1. Data.gov Catalog

    BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset

    National Renewable Energy LaboratoryUpdated 7 Oct 2024

    The BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption …

    • 08151V1
    • HTML
    • MD
    • ZIP
    • CSV
    • TAR
  2. Data.gov Catalog

    GeoThermalCloud framework for fusion of big data and multi-physics models in Nevada and Southwest New Mexico

    Los Alamos National LaboratoryUpdated 17 May 2021

    … GeoThermalCloud.jl is a repository containing all the data and codes required to demonstrate applications of machine learning …

    • ZIP
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    • JL
  3. GovData Germany

    EMViR - Electron Microscopy Image Dataset of Labelled Respiratory Viruses for Deep Learning Model Development

    Robert Koch-InstitutUpdated 11 Nov 2026

    … To advance the application and the development of deep learning in virus detection from electron microscopic images, more …

    • ZIP
  4. Data.gov Catalog

    CameraTrapDetectoR Species Model

    Agricultural Research ServiceUpdated 21 Nov 2025

    CameraTrapDetectoR is an R package that uses deep learning computer vision models to automatically detect, count, and classify …

    • ZIP
  5. Data.gov Catalog

    Appendices for Geothermal Exploration Artificial Intelligence Report

    Colorado School of MinesUpdated 13 Jan 2022

    The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This …

    • ZIP
    • DOCX
  6. data.gov.au

    Deep Learning Image Segmentation of Sandy Beaches in Southeastern Australia

    CSIRO Data Access PortalUpdated 20 Sept 2025

    … to train an image segmentation model using the U-Net deep learning architecture for mapping sandy beaches. The …

    • HTML
    • ZIP
    • TEXT/MARKDOWN
  7. data.gouv.fr

    ASCAD

    Agence Nationale de la Sécurité des Systèmes d'InformationUpdated 14 Jun 2019

    ASCAD (ANSSI SCA Databases) Databases and Neural Networks models, associated to the article "Study of Deep Learning Techniques …

    • ZIP
  8. data.gov.gr

    cryoPANDA: A 37-million-particle dataset from over 250 experiments to accelerate data-driven cryo-EM analysis

    Εθνικό Ίδρυμα Ερευνών (Ε.Ι.Ε.)Updated 21 Sept 2026

    Σύνολο δεδομένων που παρήχθη από την ερευνητική ομάδα του έργου ERA Chair / Hot4Cryo. (Ινστιτούτο Χημικής Βιολογίας του Εθνικού …

    • ZIP
  9. Data.gov Catalog

    Data from: Beech leaf disease symptom detection using deep learning and computer vision tools

    Agricultural Research ServiceUpdated 4 May 2026

    … across varying environmental and photographic conditions, supporting robust training and evaluation of machine learning models for BLD detection.

    • ZIP
  10. data.gov.au

    Bass Strait Sediment Grain Size Prediction Grids

    Australian Ocean Data NetworkUpdated 12 Aug 2026

    … These grids were the results of the predictive modelling using machine learning models. The inputs to the machine …

    • ZIP
  11. data.gov.au

    High resolution conductivity mapping using regional AEM survey and machine learning.

    Geoscience Australia DataUpdated 16 Oct 2025

    … We have used a machine learning modelling approach that establishes predictive relationships between the inverted flight-line modelled …

    • ZIP
    • WMS
    • WCS
  12. Data.gov Catalog

    TEAMER: Field Demonstration of MarineSitu Marine Energy Monitoring Tools (Public)

    MarineSituUpdated 28 Aug 2026

    … Machine Learning Artifacts: Object detection model weights (.pt) for three iterations each of optical and acoustic models, validation …

    • DOCX
    • MD
    • ZIP
    • HTML
  13. data.gov.au

    Machine-learning infilled radiometric grids of Australia - potassium (K), thorium (Th), and uranium (U), 2026

    Geoscience Australia DataUpdated 24 Jun 2026

    … The grids are derived from airborne radiometric survey data combined with modelled infill in areas where observations are …

    • ZIP
  14. data.gov.uk

    Environmental and location data for Malaise trap samples in the leakage belt of the Gola Rainforest National Park, Sierra Leone, November to December 2021

    Environmental Information Data CentreUpdated 6 Nov 2026

    This dataset contains information about the locations and local environmental conditions of 123 Malaise trap samples collected in …

    • ZIP
  15. Data.gov Catalog

    Fish Detection AI, sonar image-trained detection, counting, tracking models

    Water Power Technology OfficeUpdated 14 Apr 2025

    … Unsupervised Domain Adaptation techniques were implemented to enable trained models to be applied to different unseen datasets, reducing …

    • 12029
    • HTML
    • ZIP
    • MD
  16. Data.gov Catalog

    Artificial Intelligence for Robust Integration of AMI and Synchrophasor Data to Significantly Boost Solar Adoption

    Arizona State UniversityUpdated 16 Apr 2025

    The overarching goal of the project is to create a highly efficient framework of machine learning (ML) methods …

    • ZIP
    • IPYNB
    • PY
    • TXT
    • H5
    • MP4
  17. Data.gov Catalog

    INGENIOUS - Great Basin Regional Dataset Compilation

    GBCGE, NBMG, UNRUpdated 6 Mar 2025

    … 2-meter temperature probe surveys, quaternary faults and volcanic features, geodetic shear and dilation models, heat flow, magnetotellurics …

    • HTML
    • ZIP
  18. data.gouv.fr

    Modèles de classification (et ses résultats) entrainés sur certains ressources CSV de data.gouv.fr

    Pavel SorianoUpdated 24 Jun 2020

    … Pour l'instant on se concentre que sur des modèles de classification supervisée. Brièvement, l'analyse consiste en …

    • CSV
    • ZIP
  19. data.gov.au

    Predictive grids of major oxide concentrations in surface rock and regolith over the Australian continent

    Geoscience Australia DataUpdated 17 Oct 2025

    … This approach builds predictive models by learning relationships between the site measurements of an oxide concentration (sourced from …

    • ZIP
    • TIF
    • DOCX
  20. Data.gov Catalog

    Data from: No More Laborious Stem Counting: AI-powered Computer Vision Enables Identification and Quantification of Solid and Hollow Alfalfa Stems at the Pixel Level

    Agricultural Research ServiceUpdated 16 May 2025

    … train and evaluate the machine and deep learning models. These models were developed to automate the stem counting …

    • ZIP
“learning models” datasets · Open Data Finder