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773 datasets for “machine-learning”
- data.gouv.fr
PetroSeg
Fares AzzamUpdated 25 Oct 2025
… Automated petrographic image analysis by supervised and unsupervised machine learning methods. Sedimentologika, 2(2). https://doi.org/10 …
- ZIP
- data.gov.au
Evolution of the Australian Geoscience Data Cube
Geoscience Australia DataUpdated 16 Oct 2025
The Australian Geoscience Data Cube (AGDC) Programme envisions a Digital Earth, composed of observations of the Earth¿s …
- HTML
- data.gov.au
Baselines for Soil Health and Stability in NSW RFA Regions: Drivers and Trends
Spatial Services (DCS)Updated 19 Oct 2025
… This includes DSM models and Data Cube models using machine learning techniques.More information and the underlying datasets …
- ARCGIS REST SERVICE
- data.gouv.fr
Data portals registry
DatenoUpdated 2 Apr 2025
… Geoportals * Scientific data repositories * Indicators catalogs * Microdata catalogs * Machine learning catalogs * Data search engines * API Catalogs * Data marketplaces …
- JSONL
- PARQUET
- HTML
- data.gov.au
Baselines for Soil Health and Stability in NSW RFA Regions: Drivers and Trends
Spatial Services (DCS)Updated 26 Jun 2026
… This includes DSM models and Data Cube models using machine learning techniques. More information and the underlying datasets …
- ARCGIS REST SERVICE
- Opendatasoft hubLive preview
Data from Hackathon "GenHack 3 Generative Modeling Challenge": Predicting maize crop yield distribution under stochastic weather
Métivier, DavidUpdated 17 Jan 2025
Lien vers la fiche source Hackathon Overview The GenHack 3 is a data challenge organized by École Polytechnique …
- CSV
- JSON
- GEOJSON
- ODS API
- data.gov.uk
Soil loss on ignition predictions using GBASE data for south west England (NERC Grant NE/T004169/1)
British Geological Survey (BGS)Updated 13 Nov 2026
… A machine learning approach to geochemical mapping. Journal of Geochemical Exploration, Vol. 167, 49–61. Marchant, B.P …
- data.gov.au
Geoscience Australia and the Wonderful World of Drones
Geoscience Australia DataUpdated 16 Oct 2025
… The talks will include environmental research in Antarctica, landscape analysis after large earthquakes, machine learning to spot dangerous …
- HTML
- Humanitarian Data Exchange
Mapping Education Insecurity, May 2019 to Feb 2021
Education and Conflict MonitorUpdated 22 Jul 2026
… project from May 2019 to February 2021, using machine learning to identify Twitter posts relevant to education insecurity …
- CSV
- Opendatasoft hubLive preview
CherryChèvre: A Fine-Grained Dataset for Goat Detection in Natural Environments
Vayssade, Jehan-AntoineUpdated 17 Oct 2023
… The dataset is intended for developing machine learning algorithms for goat detection, with applications in precision agriculture, animal …
- CSV
- JSON
- GEOJSON
- ODS API
- data.gov.au
National surface and near-surface conductivity grids
Geoscience Australia DataUpdated 16 Oct 2025
… The GB model is a machine learning (ML) ensemble technique used for both regression and classification tasks (https …
- ZIP
- WMS
- WCS
- Opendatasoft hubLive preview
CherryChèvre: A Fine-Grained Dataset for Goat Detection in Natural Environments (yolo version)
Vayssade, Jehan-AntoineUpdated 17 Oct 2023
… The dataset is intended for developing machine learning algorithms for goat detection, with applications in precision agriculture, animal …
- CSV
- JSON
- GEOJSON
- ODS API
- Opendatasoft hubLive preview
Lagrangian and Eulerian dataset of flow over a circular cylinder at Reynolds number 3900
RAHIMI KHOJASTEH, AliUpdated 29 Jun 2023
… for tracking algorithm assessment, exploring the physics of Lagrangian particles, statistic analyses, data assimilation and machine learning interests.
- CSV
- JSON
- GEOJSON
- ODS API
- Data.gov Catalog
Digital elevation models (DEMs) of the Greater Raleigh Area, North Carolina
U.S. Geological SurveyUpdated 11 Apr 2023
… suite of geomorphic metrics for use in a machine learning model to predict streambank erosion hotspots. All files …
- XML
- Humanitarian Data Exchange
Türkiye Earthquake (Twitter data)
Qatar Computing Research InstituteUpdated 15 Apr 2025
… The data was collected using the AIDR system (http://aidr.qcri.org/) and processed/analyzed using machine learning …
- XLSX
- Data.NSW
Canopy Dieback Severity Mapping in Public Forests of the Lower North Coast of NSW
NSW Natural Resources CommissionUpdated 3 Oct 2026
… Using Sentinel-2 satellite imagery and a Random Forest machine learning model, canopy condition was classified into three …
- ZIP
- data.gov.au
Canopy Dieback Severity Mapping in Public Forests of the Lower North Coast of NSW
NSW Natural Resources CommissionUpdated 12 Nov 2025
… Using Sentinel-2 satellite imagery and a Random Forest machine learning model, canopy condition was classified into three …
- ZIP
- Open Government Canada
Canadian Wetland Inventory Map Version 3A (CWIM3A)
Natural Resources Canada | Ressources naturelles CanadaUpdated 6 Dec 2024
The third generation of high resolution 10-m wetland inventory map of Canada, covering an approximate area of …
- WMS
- WCS
- TIFF
- JSON
- GEOTIF
- data.gouv.fr
GrainSight
Fares AzzamUpdated 9 Dec 2024
… Automated petrographic image analysis by supervised and unsupervised machine learning methods. Sedimentologika, 2(2). https://doi.org/10 …
- ZIP
- data.gov.uk
Compilation of Mineral and Glass Compositions erupted at Villarrica volcano, Chile (NERC Grant NE/S007458/1)
British Geological Survey (BGS)Updated 13 Nov 2026
… Frequently Erupting Arc Volcano (Villarrica, Chile) from Unsupervised Machine Learning Analysis of Mineral Compositions' by F. O. Boschetty …