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773 datasets for “machine-learning”
- 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 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
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
- data.gov.au
Geospatial Data and Deep Learning Expose ESG Risks to Critical Raw Materials Supply: The Case of Lithium
Geoscience Australia DataUpdated 16 Oct 2025
… predict natural resources conflicts, but we show that machine learning results are biased by proxies for population density …
- HTML
- 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
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
- Opendatasoft hubLive preview
Replication Data for: Unravelling the Dark Web: explainable inference of the diversity of microbial interactions
BOHAN, DavidUpdated 10 Oct 2023
… We believe that this 'Dark Web' of interactions could be unravelled using an explainable machine learning approach, called …
- CSV
- JSON
- GEOJSON
- ODS API
- Data.gov Catalog
National watershed boundary (HUC12) dataset for the conterminous United States, retrieved 10/26/2020
U.S. Geological SurveyUpdated 27 Aug 2024
… This dataset is part of a larger data release using machine learning to predict public supply water use …
- XML
- GovData Germany
Airborne Network Packet Delay Estimation Dataset for Spatio Temporal Graph Neural Networks, Graph Neural Network and Neural Network
open.bydataUpdated 13 Nov 2026
1. Simulation Overview This dataset comprises processed simulation results from an Airborne Network. The simulations modeled networks of …
- data.gov.au
Vicmap Vegetation Tree Urban REST API
VicmapUpdated 16 Jul 2025
… was used as the source information and a machine learning technique was utlised to extract the location of …
- ESRI REST
- GovData Germany
Dataset for drivers of forest area development
OpenAgrarUpdated 23 Oct 2025
… These data are then used in different machine learning approaches, which first identify the relevant independent variables (drivers …
- XLSX
- data.gov.au
FluvDepoSet
CSIRO Data Access PortalUpdated 27 Oct 2025
… It aims at providing a training and testing data set for machine learning applications that require geologically plausible …
- APPLICATION/X-HDF
- 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