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773 datasets for “machine-learning”
- GovData Germany
Question Answering Datensatz, basierend auf den Dokumenten des Münchner Dienstleistungsfinders
open.bydataUpdated 11 Nov 2026
Dieser Datensatz ist für maschinelles Lernen gedacht. Die Texte stammen aus dem ["Dienstleistungsfinder"](https://stadt.muenchen.de/service …
- TXT
- data.gov.au
FHIR Terminology Encoder
CSIRO Data Access PortalUpdated 1 Dec 2025
A tool for encoding FHIR terminology concepts for machine learning applications.
- ZIP
- data.gov.au
Seagrass meadows extents derived from field to spaceborne earth observation at Midge Point, Great Barrier Reef, September/October 2017
Australian Ocean Data NetworkUpdated 19 Aug 2026
Seagrass meadow extent and meadow-scape was mapped using three alternative approaches at Midge Point, a coastal turbid …
- WFS
- WMS
- HTML
- PNG
- Data.gov Catalog
INGENIOUS - Great Basin Regional Dataset Compilation
GBCGE, NBMG, UNRUpdated 6 Mar 2025
This is the regional dataset compilation for the INnovative Geothermal Exploration through Novel Investigations Of Undiscovered Systems (INGENIOUS …
- HTML
- ZIP
- Data.gov Catalog
The Artificial Intelligence Patent Dataset (AIPD) for Academia and Researchers
Office of the Chief Economist (OCE)Updated 28 Aug 2025
… from 1976 through 2023 in eight AI component technologies using state-of-the art machine learning based models.
- CSV
- DTA
- TSV
- data.gov.au
Seagrass meadow extents derived from field to spaceborne earth observation at Green Island (Wunyami), a reef habitat in the Cairns section of the Great Barrier Reef, November 2020
Australian Ocean Data NetworkUpdated 3 Sept 2026
Seagrass meadow extent and meadow-scape was mapped using two alternative approaches at Green Island, a reef clear …
- WFS
- WMS
- HTML
- PNG
- Data.gov Catalog
The National Artificial Intelligence Research and Development Strategic Plan: 2019 Update
NCO NITRDUpdated 20 Nov 2018
Artificial intelligence (AI) holds tremendous promise to benefit nearly all aspects of society, including the economy, healthcare, security …
- GovData Germany
Tree Species - Sentinel-1/2 - Germany, 2022
GDI-DEUpdated 13 Nov 2026
… The final classification was generated using an XGBoost machine learning algorithm. The Tree Species Germany product achieves an …
- GEOTIFF
- data.gov.au
Efficient borehole targeting for ground-control of airborne electromagnetic (AEM) survey results
Geoscience Australia DataUpdated 18 Nov 2025
… manual borehole assessments to train and validate a machine learning algorithm for the purpose of identifying priority borehole …
- HTML
- data.gov.au
Stochastic Modelling of Mineral Exploration Targets
Geoscience Australia DataUpdated 18 Nov 2025
Rapid, efficient, and accurate prediction of mineral occurrence that takes uncertainty into 20 account is essential to optimise …
- Data.gov Catalog
JARVIS: Joint Automated Repository for Various Integrated Simulations
National Institute of Standards and TechnologyUpdated 18 Oct 2017
… The Machine-learning section of JARVIS (JARVIS-ML) consists of machine learning prediction tools, trained on JARVIS-DFT …
- TEXT/HTML
- Opendatasoft hubLive preview
Projet Artisols - Occupation des sols en Occitanie - 2019
CRESSON, REMIUpdated 2 May 2022
Lien vers la fiche source Le projet ArtiSols , soutenu par la Région Occitanie et le Fonds Européen de …
- CSV
- JSON
- GEOJSON
- ODS API
- data.gov.uk
Treescape typology at 1km resolution, Great Britain, 2018
Environmental Information Data CentreUpdated 6 Nov 2026
… The typology was derived by data-driven machine learning, through Self-Organised Maps and this dataset presents the …
- ZIP
- data.gov.au
Soil and Landscape Grid National Soil Attribute Maps - Rock outcrop occurrence (3" resolution) - Release 1
Terrestrial Ecosystem Research Network's Data DiscoveryUpdated 10 Jun 2026
… A machine learning model was used to find relationships between observed data and associated environmental covariate data to …
- HTML
- WMS
- PNG
- data.gov.au
Training dataset for object detection - Penguins from UAV
Australian Ocean Data NetworkUpdated 23 Jun 2025
… Training and evaluation tasks were performed using the TensorFlow 2.0 machine learning platform by Google.
- HTML
- PNG
- data.gov.au
Training dataset for object detection - Penguins from UAV
Australian Ocean Data NetworkUpdated 17 Nov 2025
… Training and evaluation tasks were performed using the TensorFlow 2.0 machine learning platform by Google.
- HTML
- PNG
- Data.gov Catalog
US EPA EnviroAtlas Meter-Scale Urban Land Cover (MULC) Data Characteristics
U.S. EPA Office of Research and Development (ORD)Updated 1 Jan 2020
Meter-scale Urban Land Cover (MULC), a unique, high resolution (one meter2 per pixel) land cover dataset, has …
- VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET
- Data.gov Catalog
EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog Using Transfer-Learning Aided Double-Difference Tomography
Oak Ridge National LaboratoryUpdated 17 Feb 2025
This package contains a 3D Seismic velocity model and an updated microseismic catalog associated with a proceedings paper …
- HTML
- MP4
- CSV
- data.gov.au
Building a Better Geochemical Picture of the Australian Landscape
Geoscience Australia DataUpdated 16 Oct 2025
… Levelled samples were used to train a machine learning algorithm (RandomForests) to generate a suite of predictive geochemical …
- data.gov.au
Revised weathering intensity model of Australia
Geoscience Australia DataUpdated 16 Oct 2025
… Here, I use a random forest decision tree machine learning algorithm to first establish a relationship between field …