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773 datasets for “machine-learning”
- 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.gov Catalog
Challenge Round 0 (Dry Run) Test Dataset
National Institute of Standards and TechnologyUpdated 4 Feb 2020
This dataset was an initial test harness infrastructure test for the TrojAI program. It should not be used …
- GZIP
- PLAIN
- 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
- Open Government Canada
Artificial Intelligence - ITSAP.00.040
Communications Security Establishment Canada | Centre de la sécurité des télécommunications CanadaUpdated 9 Mar 2026
An overview of artificial intelligence and how machines use data, algorithms, and learning models to perform tasks that …
- HTML
- 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
- 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 …
- GovData Germany
Multi-temporal land cover classification with sequential recurrent encoders
open.bydataUpdated 11 Nov 2026
Spatio-temporal reflectance measurements form Sentinel 2 satellites of agricultural field parcels in Bavaria. Labelled dataset for crop …
- 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.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 …
- data.gov.au
High resolution conductivity mapping using regional AEM survey and machine learning
Geoscience Australia DataUpdated 16 Oct 2025
… We use a gradient boosted tree machine learning algorithm to discover relationships between AEM conductivity models across northern …
- data.gov.au
National Gravity and Magnetic Derivatives Customised for Data Analysis and Machine Learning
Geoscience Australia DataUpdated 16 Oct 2025
… Various Fast Fourier Transforms (FFT) were applied to each grid (see ‘Grids_for_Machine_Learning_dataset_notes.pdf …
- TIF
- data.gov.au
Australian Phytoplankton Microscopy Machine Learning Dataset
CSIRO Data Access PortalUpdated 11 Nov 2026
The Australian Phytoplankton Microscopy Machine Learning Dataset is an annotated collection of laboratory microscopy imagery developed to support …
- Data.gov Catalog
Deep Learning for Water Quality
U.S. EPA Office of Research and Development (ORD)Updated 12 Mar 2024
Streamflow data (Fig. 1a) from the Global Streamflow Indices and Metadata Archive (GSIM) were compiled from repositories at …