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787 datasets for “machine learning”
- data.gov.au
DEA Coastal Ecosystems
Australian Ocean Data NetworkUpdated 5 May 2026
Mapping coastal ecosystems is vital for understanding, managing, and protecting the diverse habitats that line our shorelines. These …
- HTML
- data.gov.au
DEA Coastal Ecosystems
Australian Ocean Data NetworkUpdated 5 Jun 2026
Mapping coastal ecosystems is vital for understanding, managing, and protecting the diverse habitats that line our shorelines. These …
- HTML
- data.gov.au
DEA Coastal Ecosystems
Australian Ocean Data NetworkUpdated 17 Jun 2026
Mapping coastal ecosystems is vital for understanding, managing, and protecting the diverse habitats that line our shorelines. These …
- HTML
- data.gov.au
DEA Coastal Ecosystems
Australian Ocean Data NetworkUpdated 23 Jun 2026
Mapping coastal ecosystems is vital for understanding, managing, and protecting the diverse habitats that line our shorelines. These …
- HTML
- data.gov.au
DEA Coastal Ecosystems
Australian Ocean Data NetworkUpdated 27 Jun 2026
Mapping coastal ecosystems is vital for understanding, managing, and protecting the diverse habitats that line our shorelines. These …
- HTML
- data.gov.au
Unearthing Australia’s subsurface secrets - An integrated FAIR modelling approach
Geoscience Australia DataUpdated 16 Oct 2025
Output Type: Exploring for the Future Extended Abstract Short Abstract: To enable a sustainable and responsible use of …
- WMS
- WCS
- WMTS
- data.gov.au
Petrophysical interpretation and reservoir characterisation on Proterozoic shales in NDI Carrara 1, Northern Territory
Geoscience Australia DataUpdated 18 Nov 2025
… both laboratory testing and well log interpretation from machine learning approaches, to improve the Proterozoic shale gas reservoir …
- HTML
- Data.gov Catalog
Flow Redirection and Induction in Steady State (FLORIS) Wind Plant Power Production Data Sets
National Renewable Energy LaboratoryUpdated 2 Jan 2024
… This dataset is intended to serve as a benchmark against which new artificial intelligence (AI) or machine learning …
- HTML
- CSV
- data.gov.au
Digital soil mapping of lithium in Australia
Geoscience Australia DataUpdated 18 Nov 2025
With a higher demand for lithium (Li), a better understanding of its concentration and spatial distribution is important …
- HTML
- Data.gov Catalog
Dataset for Evaluating the Impact of Wildfire Smoke on Solar Photovoltaic Production
Sandia National LaboratoriesUpdated 6 Dec 2023
This dataset was used to support machine learning model development for wildfire impacts on utility-scale solar in …
- 121303
- XLSX
- Data.gov Catalog
Figure files for "Modular Autonomous Virtualization System for Two-Dimensional Semiconductor Quantum Dot Arrays" submitted to Physical Review X
National Institute of Standards and TechnologyUpdated 3 Feb 2025
… Our method employs machine learning techniques to rapidly extract features from two-dimensional charge stability diagrams. We then …
- ZIP
- PLAIN
- Data.gov Catalog
Estimated floodplain map for the conterminous United States
U.S. EPA Office of Research and Development (ORD)Updated 4 Jun 2018
Understanding the relationship between flood inundation and floodplains is critical for ecosystem and community health and well-being …
- VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET
- Data.gov Catalog
Datasets for manuscript "Integrating data engineering and process systems engineering for end-of-life chemical flow analysis"
U.S. EPA Office of Research and Development (ORD)Updated 27 Mar 2025
The Github Repository, https://github.com/jodhernandezbe/TRI4PLADS/tree/v1.0.0,, is publicly available and referenced in …
- VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET
- VND.OPENXMLFORMATS-OFFICEDOCUMENT.WORDPROCESSINGML.DOCUMENT
- data.gov.au
Visible to infrared reflectance spectra of magnetite-chlorite controlled mixtures
CSIRO Data Access PortalUpdated 12 Nov 2026
… The magnetite-chlorite spectral reference library was produced to provide accessible training data for predictive machine learning applications …
- data.gov.au
Remote sensing surface canopy mapping of Giant Kelp forests in Southern Australia, 2016–2023
Australian Ocean Data NetworkUpdated 18 Apr 2026
… to exclude intertidal areas • Create a first-pass machine learning (ML) classification using Sentinel-2 (10 m) imagery …
- HTML
- ZIP
- WMS
- WFS
- PNG
- data.gov.uk
Curio Canopy - London Tree Canopy Cover
Greater London AuthorityUpdated 25 Sept 2026
… The algorithms and machine learning based techniques used to produce the canopy map were developed using Google Earth …
- KML
- CSV
- ZIP
- Opendatasoft hubLive preview
Segmentation of ascochyta blight symptoms on pea stipules
Jumel, StephaneUpdated 10 Nov 2022
Lien vers la fiche source Data and trained machine learning algorithm for pixel segmentation of ascochyta blight symptoms …
- CSV
- JSON
- GEOJSON
- ODS API
- Opendatasoft hubLive preview
Dataset for Evaluating the Impact of Wildfire Smoke on Solar Photovoltaic Production
Sandia National LaboratoriesUpdated 22 May 2024
This dataset was used to support machine learning model development for wildfire impacts on utility-scale solar in …
- CSV
- JSON
- GEOJSON
- ODS API
- data.gov.au
Bool and Hacks Lagoons Landcover Model Output 2022
Friends of Bool and Hacks LagoonsUpdated 20 Dec 2025
… Machine Learning is notoriously data-hungry and model accuracy is sensitive to the quality and quantity of input …
- SHP
- Queensland Government Open Data
COLLABORATIVE EXPLORATION INITIATIVE - ROUND 5 - CEI0308 DEEP LEARNING BASED GEOLOGICAL INTERPRETATION OF GEOPHYSICAL DATA MACHINE LEARNING
Geological Survey of QueenslandUpdated 8 Sept 2023
… https://geoscience.data.qld.gov.au/dataset/cr134638 Deep Learning based Geological Interpretation of Geophysical Data - a deep …