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787 datasets for “machine learning”
- Opendatasoft hubLive preview
Review SVM EEG
Joucla, CoralieUpdated 11 Dec 2025
Lien vers la fiche source Dataset (table) of a literature review of Electroencephalography (EEG) and Support Vector Machines …
- CSV
- JSON
- GEOJSON
- ODS API
- data.gov.au
Uncover-ML: a machine learning pipeline for geoscience data analysis.
Geoscience Australia DataUpdated 17 Oct 2025
… Machine learning is an important approach to synthesise the increasing complexity and sheer volume of Earth science data …
- 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
- data.gouv.fr
Jeux de toxicité des mots
WebCressonTechUpdated 22 Jan 2025
Voici un dictionnaire de mots toxiques permettant l'entraînement d'une potentielle machine Learning ou autres. C'est …
- CSV
- data.gov.au
Machine-learning infilled radiometric grids of Australia - potassium (K), thorium (Th), and uranium (U), 2026
Geoscience Australia DataUpdated 24 Jun 2026
… In areas without coverage, values were estimated using a machine-learning approach based on a convolutional neural network …
- ZIP
- 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
- Data.gov Catalog
CardSim: A Bayesian Simulator for Payment Card Fraud Detection Research
Board of Governors of the Federal Reserve SystemUpdated 28 Feb 2025
Data included as part of a paper that introduces CardSim, a flexible, scalable payment card transaction simulation methodology …
- Data.gov Catalog
Department of Agriculture Inventory of Super Intelligence Use Cases
Office of the Chief Information OfficerUpdated 20 Oct 2026
This dataset is an inventory of the uses of super intelligence (SI) at USDA. The inventory was developed …
- CSV
- Opendatasoft hubLive preview
1 Month-long skylight polarization images dataset
POUGHON, LeoUpdated 14 Mar 2024
Lien vers la fiche source A public database composed of real-world color polarimetric images of the sky …
- CSV
- JSON
- GEOJSON
- ODS API
- Open Government Canada
Reducing Employment Insurance Backlog: A Machine Learning Approach
Employment and Social Development Canada | Emploi et Développement social CanadaUpdated 21 Nov 2024
… In July 2023, the implementation of the Machine Learning model proved successful, resulting in the completion of over …
- JSON
- 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
This dataset is part of the OzTreeMap project and provides two new 30 m spatial resolution canopy height …
- HTML
- PNG
- GovData Germany
TinyEuroCrops
open.bydataUpdated 11 Nov 2026
TinyEuroCrops is part of a dataset for automatic vegetation classification from multi-spectral and multi-temporal satellite data …
- 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
- 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
- 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
- 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
- Data.gov Catalog
Global Ensemble Digital Terrain Model
OpenTopographyUpdated 4 Aug 2025
… This data product was generated using machine learning methods. Users are advised to exercise caution and independently verify …
- HTML
- data.gov.au
Machine Learning for the Fast and Accurate Assessment of Fitness in Coral Early Life History
Australian Ocean Data NetworkUpdated 23 Jan 2026
A machine learning pipeline was developed to measure three key indicators of coral juvenile fitness rapidly and accurately …
- HTML
- PNG
- GovData Germany
So2Sat GUL - So2Sat Global Urban LCZs
open.bydataUpdated 13 Nov 2026
So2Sat GUL consists of the local climate zones classification maps of 1692 cities whose population are larger than …
- GovData Germany
Multi-View Region of Interest Prediction Dataset for Autonomous Driving
open.bydataUpdated 14 Nov 2026
Multi-view images recorded in the CARLA Simulator with Region of Interest Labels For reference to this dataset …