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773 datasets for “machine-learning”
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Grid Event Signature Library
Oak Ridge National LaboratoryUpdated 28 Oct 2025
… with the goals of advancing the field of machine learning and artificial intelligence (ML/AI) for the grid …
- CSV
- JSON
- GEOJSON
- ODS API
- data.gov.au
Predictive grids of major oxide concentrations in surface rock and regolith over the Australian continent
Geoscience Australia DataUpdated 17 Oct 2025
… To expand beyond the point measurements of the geochemical data, we have used a machine learning approach to …
- ZIP
- TIF
- DOCX
- Data.gov Catalog
National-Scale Geophysical, Geologic, and Mineral Resource Data and Grids for the United States, Canada, and Australia: Data in Support of the Tri-National Critical Minerals Mapping Initiative (ver 1.1, March 2025)
U.S. Geological SurveyUpdated 31 Mar 2025
… where critical mineral prospectivity may exist using advanced machine learning approaches (Kelley, 2020). The geoscience information presented in …
- XML
- Open Government Canada
StackAdapt shows global reach with online advertising innovation
Global Affairs Canada | Affaires mondiales CanadaUpdated 4 Feb 2026
… StackAdapt in 2013 to apply data, analysis and machine learning to online advertising. They are now working with …
- HTML
- data.gov.au
Rapid analysis of drill core data for detection of geological boundaries
Geoscience Australia DataUpdated 16 Oct 2025
Regolith geochemical and geophysical patterns related to underlying mineralisation may be difficult to detect in regions where the …
- HTML
- data.gov.au
Bool and Hacks Lagoons Landcover Model Output 2022
Friends of Bool and Hacks LagoonsUpdated 20 Dec 2025
… Lynker used a machine learning training process called supervised learning, whereby a machine learning model is trained using …
- SHP
- Humanitarian Data Exchange
Myanmar Monsoon Rice Sown Area_v1
Myanmar Information Management Unit (MIMU)Updated 13 Apr 2026
Rice sown area estimation from Sentinel-1 SAR and Sentinel-2 optical images using Random Forest Machine Learning …
- SHP
- GEOJSON
- Open Government Canada
Automatically Detected Field Boundaries in Canada, 2023
Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire CanadaUpdated 7 Jan 2026
OneSoil employs a proprietary machine learning (ML) model based on state-of-the-art instance segmentation to detect …
- GPKG
- FGDB/GDB
- Data.gov Catalog
Daily water column temperature predictions for thousands of Midwest U.S. lakes between 1979-2022 and under future climate scenarios
U.S. Geological SurveyUpdated 13 Jun 2023
… a machine learning model (specifically an entity-aware long short-term memory or EA-LSTM model; Kratzert et …
- XML
- Opendatasoft hubLive preview
Concrete printing defects dataset for quality process monitoring using computer vision
Rill-Garcia, RodrigoUpdated 30 Jan 2024
… It could stem from a rule-based expert system, vector-to-action dictionaries, supervised machine learning models, etc.
- CSV
- JSON
- GEOJSON
- ODS API
- Opendatasoft hubLive preview
Major species map of La Massane Forest
Fabre, SophieUpdated 22 Sept 2025
… A supervised object-oriented classification approach based on a reference database and machine learning algorithm (RF) was applied …
- CSV
- JSON
- GEOJSON
- ODS API
- Open Government Canada
Prairie Landscape Inventory (PLI) - Moist Mixed Grassland Classification
Government of Saskatchewan | Gouvernement de la SaskatchewanUpdated 26 Feb 2025
… Classification was based on machine learning analysis and remote sensing data of Sentinel-1 and Sentinel-2 imagery …
- HTML
- Data.gov Catalog
INTEGRATE - Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements
National Renewable Energy Laboratory (NREL)Updated 16 Jun 2022
The INTEGRATE (Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements) project is developing a …
- J060866
- 2022-1098
- 2022-1293
- HTML
- Open Government Canada
Prairie Landscape Inventory (PLI) - Cypress Upland Classification
Government of Saskatchewan | Gouvernement de la SaskatchewanUpdated 26 Feb 2025
… The classification was based on Sentinel-1 and Sentinel-2 imagery using machine learning analysis in the Google …
- HTML
- data.gov.uk
CO2 leakage detection
British Geological Survey (BGS)Updated 13 Nov 2026
… Monitoring of CO2 flow under CCS conditions through multi-modal sensing and machine learning.
- Open Government Canada
Algorithmic Impact Assessment - Record of Employments (ROE) Comments Assessment
Employment and Social Development Canada | Emploi et Développement social CanadaUpdated 9 Apr 2026
##Record of Employment Comments Classification Model: Reducing Manual Review of Text Comments The Record of Employment (ROE) form …
- JSON
- Opendatasoft hubLive preview
Clima – precipitazioni estreme giornaliere Centro-Nord Italia
Arpae Emilia-RomagnaUpdated 30 Jan 2024
… A systematic classification with machine‐learning techniques. Quarterly Journal of the Royal Meteorological Society, 146(726), 69–85 …
- CSV
- JSON
- GEOJSON
- ODS API
- Data.gov Catalog
Delta-X AVIRIS-NG L3 Derived Vegetation Types, MRD, Louisiana, USA
ORNL_DAACUpdated 5 Nov 2026
… Reference Monitoring System were used to generate a machine learning-based model to classify vegetation types. This model …
- ISO
- PNG
- ZIP
- BIN
- HTML
- Open Government Canada
Prairie Landscape Inventory (PLI) - Aspen Parkland Classification
Government of Saskatchewan | Gouvernement de la SaskatchewanUpdated 15 Oct 2025
… The classification was based on Sentinel-1 and Sentinel-2 imagery using machine learning analysis in the Google …
- HTML
- Humanitarian Data Exchange
Kingdom of Eswatini: High Resolution Population Density Maps + Demographic Estimates
AI for Good at MetaUpdated 19 Nov 2025
… This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide …
- ZIP
- JSON