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787 datasets for “machine learning”
- Socrata networkLive preview
Pierce County Sentiment
KyleUpdated 13 Feb 2020
… Meltwater’s Natural Language Processing model is supported by AI and machine learning algorithms. Using this model, we …
- CSV
- JSON
- SODA API
- Data.gov Catalog
Annual Mean PM2.5 Components Trace Elements (TEs) 50m Urban and 1km Non-Urban Area Grids for Contiguous U.S., 2000-2019, v1
SEDACUpdated 17 Jul 2025
… In this work, ensembles of machine learning models were used to generate approximately 163 billion predictions estimating annual …
- HTML
- data.gov.au
Vicmap Vegetation - Tree Urban Point
Department of Transport and PlanningUpdated 31 Jul 2026
… This product is derived from machine learning of high resolution aerial photography with no post processing human intervention.
- DWG
- DXF
- GDB
- SHP
- MIF
- TAB
- +3
- data.gov.au
State-of-the-art analysis of geochemical data for mineral exploration
Geoscience Australia DataUpdated 18 Nov 2025
Multi-element geochemical surveys of rocks, soils, stream/lake/floodplain sediments, and regolith are typically carried out at …
- HTML
- data.gov.au
Data–driven prospectivity modelling of sediment–hosted Zn–Pb mineral systems and their critical raw materials
Geoscience Australia DataUpdated 16 Oct 2025
… and validated during a series of semi–automated machine learning competitions; and/or (2) incorporating geological and geophysical …
- HTML
- WFS
- WMS
- Data.gov Catalog
Data from: No More Laborious Stem Counting: AI-powered Computer Vision Enables Identification and Quantification of Solid and Hollow Alfalfa Stems at the Pixel Level
Agricultural Research ServiceUpdated 16 May 2025
… includes image data, labeled JSON data, and machine and deep learning model data. This data was gathered to …
- ZIP
- Data.gov Catalog
Measurement and Effects of Supply Chain Bottlenecks Using Natural Language Processing
Board of Governors of the Federal Reserve SystemUpdated 16 Oct 2025
… from the Federal Reserve's Beige Books using machine learning and natural language processing techniques. The Beige Book …
- 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
- data.gov.au
Complete Radiometric Grid of Australia (Radmap) v4 2019 with modelled infill
Geoscience Australia DataUpdated 16 Oct 2025
… A boosted regression tree algorithm called XGBoost (open-source software library for gradient boosting machine learning) was used …
- ZIP
- WMS
- WCS
- data.gov.au
Vicmap Vegetation Tree Extent
Department of Transport and PlanningUpdated 1 Aug 2026
… The mapping of tree cover was based a upon a machine learning technique. Tree cover is defined as …
- ECW
- GEOTIFF
- JPEG
- JPEG 2000
- TIFF
- data.gov.au
Discrete Global Grid Systems and the Living Planet
Geoscience Australia DataUpdated 17 Oct 2025
The rapid growth in global sensor networks is leading to an explosion in the volume, velocity and variety …
- 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
- data.gouv.fr
Données de toxicité aiguë chez Gammarus fossarum : substances seules et mélanges
ANOUAR MEJAITUpdated 14 Sept 2026
### Description Ce jeu de données rassemble les résultats de tests de toxicité aiguë menés sur l'amphipode d …
- CSV
- data.gov.uk
Western Kenya soil geochemistry
British Geological Survey (BGS)Updated 13 Nov 2026
Soil prediction maps for 56 chemical elements, pH and organic matter content have been produced using machine learning …
- Humanitarian Data Exchange
Hurricane Harvey 2017 Twitter data
Qatar Computing Research InstituteUpdated 13 Sept 2024
… The data was automatically classified using state of the art machine learning techniques.
- XLSX
- data.gouv.fr
Modèles de classification (et ses résultats) entrainés sur certains ressources CSV de data.gouv.fr
Pavel SorianoUpdated 24 Jun 2020
… être utiles pour faire des explications/tutoriels en Machine Learning (ML) avec des données ouvertes semble une tache …
- CSV
- ZIP
- data.gov.au
Rapid analysis of drill core data for detection of geological boundaries
Geoscience Australia DataUpdated 16 Oct 2025
… Embedding feature (variable) selection techniques to support vector machines and random forest approaches, followed by application of a …
- HTML
- data.gov.au
Find a rock or a rock nearby using Convolution Neural Networks
Geoscience Australia DataUpdated 16 Oct 2025
… A machine learning, Convolutional Neural Network (CNN) has been applied to detect outcrops (exposed bedrock at the earth …
- Data.NSW
Coastal IFOA Canopy Dieback Monitoring - January to December 2023
Spatial Services (DCS)Updated 21 May 2026
… 10 m resolution using Sentinel-2 imagery and machine learning. Part of the Coastal IFOA Canopy Dieback Monitoring …
- ARCGIS REST SERVICE
- data.gov.au
Coastal IFOA Canopy Dieback Monitoring - January to December 2023
Spatial Services (DCS)Updated 22 May 2026
… 10 m resolution using Sentinel-2 imagery and machine learning. Part of the Coastal IFOA Canopy Dieback Monitoring …
- ARCGIS REST SERVICE