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1,114 datasets for “learning models”

  1. GovData Germany

    Influence of Experimental Designs on Semi-Empirical and Deep Learning-based Modeling of Li-Ion Battery Aging

    open.bydataUpdated 13 Nov 2026

    This dataset contains the measurements of 42 lithium-ion cells (LGChem 18650 MJ1) during a 6 months cycle …

  2. GovData Germany

    Scaling laboratory results with machine learning is no silver bullet to strengthen global (micro-)plastic mitigation policy

    OpenAgrarUpdated 23 Sept 2026

    Supplementary Information for letter to the editor / commentary concerning the article “A global estimate of multiecosystem photosynthesis losses …

    • TEXT/X-BIBTEX
  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. Socrata networkLive preview

    School Learning Modalities, 2020-2021

    Centers for Disease Control and PreventionUpdated 27 Feb 2023

    … These data were modeled using multiple sources of input data (see below) to infer the most likely learning …

    • CSV
    • JSON
    • SODA API
  5. Opendatasoft hubLive preview

    Modeling the effect of biostimulants on Poinsettia crop performance

    Guibert, NicolasUpdated 11 Dec 2025

    Lien vers la fiche source Modeling the effect of biostimulants on horticultural crop performance, Poinsettia: an approach combining …

    • CSV
    • JSON
    • GEOJSON
    • ODS API
  6. Data.gov Catalog

    Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 2 Water temperature observations

    U.S. Geological SurveyUpdated 21 Jul 2021

    … These data were used as training, test, and error-estimation data for process-guided deep learning models and …

    • XML
  7. Data.gov Catalog

    Data from: Predictive Modeling of Seed Biochemicals Composition Traits using Machine learning algorithms

    Agricultural Research ServiceUpdated 22 Dec 2025

    … Thus, this research investigated the ability of machine learning to predict plant growth features and grain composition collected …

    • CSV
  8. data.gov.au

    Australia-wide Machine Learning Evapotranspiration for Trees (AMLETT) model for Murray-Darling Basin wetlands (ongoing updates)

    CSIRO Data Access PortalUpdated 20 Sept 2025

    … A model was created using field data and machine learning to estimate floodplain tree ET (Eucalyptus camaldulensis (River …

    • TIFF
  9. data.gov.au

    Australia-Wide 30 m Machine Learning-Derived Canopy Height Models Composites: Best Pick and Median

    Terrestrial Ecosystem Research Network's Data DiscoveryUpdated 19 Jun 2026

    … the best-pick canopy height model (pick-CHM) and the median canopy height model (med-CHM). Both products …

    • HTML
    • PNG
  10. data.gov.au

    Developing an Optimal Spatial Predictive Model for Seabed Sand Content Using Machine Learning, Geostatistics, and Their Hybrid Methods

    Geoscience Australia DataUpdated 17 Oct 2025

    … Developing an Optimal Spatial Predictive Model for Seabed Sand Content Using Machine Learning, Geostatistics, and Their Hybrid Methods …

    • HTML
  11. Data.gov Catalog

    Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis (Sup3rWind)

    National Renewable Energy Lab (NREL)Updated 22 Jul 2026

    … Sup3r software v0.1.2, phygnn v0.0.28, and the models in "models/sup3rwind_models_202401", were …

    • HTML
  12. Data.gov Catalog

    The Artificial Intelligence Patent Dataset (AIPD) for Academia and Researchers

    Office of the Chief Economist (OCE)Updated 28 Aug 2025

    … from 1976 through 2023 in eight AI component technologies using state-of-the art machine learning based models.

    • CSV
    • DTA
    • TSV
  13. Data.gov Catalog

    Dataset of channels and received IEEE 802.11ay signals for sensing applications in the 60GHz band

    National Institute of Standards and TechnologyUpdated 27 May 2021

    … The dataset is suitable for development and testing of machine/deep learning algorithms. The dataset can be used …

    • TEXT/HTML
    • VND.MS-EXCEL
    • PLAIN
  14. Opendatasoft hubLive preview

    Predictive metabolomics of pearl millet phenotypic traits using a germoplasm panel of genetic diversity

    Pinheiro Costa Pimentel, MarianaUpdated 29 Apr 2025

    Lien vers la fiche source Metabolic diversity in genotypes of the germplasm core collection of Pearl millet from …

    • CSV
    • JSON
    • GEOJSON
    • ODS API
  15. Data.gov Catalog

    Machine learning model that estimates total monthly and annual per capita public-supply water use (version 2.0)

    U.S. Geological SurveyUpdated 27 Aug 2024

    This child item describes a machine learning model that was developed to estimate public-supply water use by …

    • XML
  16. Data.gov Catalog

    GeoCryoAI: Ensemble Learning and the Permafrost Carbon Feedback in Alaska, 1963-2022

    ORNL_DAACUpdated 5 Nov 2026

    … an artificial intelligence-driven model, GeoCryoAI. GeoCryoAI is a hybridized process-constrained ensemble learning framework consisting of stacked …

    • ISO
    • BIN
    • JPEG
    • PDF
    • HTML
  17. GovData Germany

    So2Sat POP Part 2

    open.bydataUpdated 11 Nov 2026

    … So2Sat POP Part 2 consists of digital elevation model.

  18. GovData Germany

    So2Sat POP Part 1

    open.bydataUpdated 13 Nov 2026

    … So2Sat POP Part 2 consists of the digital elevation model.

  19. 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
  20. Data.gov Catalog

    Challenge Round 0 (Dry Run) Test Dataset

    National Institute of Standards and TechnologyUpdated 4 Feb 2020

    … A known percentage of these trained AI models have been poisoned with a known trigger which induces incorrect …

    • GZIP
    • PLAIN
“learning models” datasets · Open Data Finder