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787 datasets for “machine learning”
- Opendatasoft hubLive preview
Data for learning-based prediction of the particles catchment area of deep ocean sediment traps
Univ Brest, CNRS, IRD, Ifremer, Laboratoire des Sciences de l’Environnement Marin (LEMAR), IUEM, Plouzané, FranceUpdated 3 Oct 2024
… The saved parameters and logs of the machine learning models. -IV. Some processed data such as kinetic energy …
- CSV
- JSON
- GEOJSON
- ODS API
- Data.gov Catalog
TEAMER: Field Demonstration of MarineSitu Marine Energy Monitoring Tools (Public)
MarineSituUpdated 28 Aug 2026
… Machine Learning Artifacts: Object detection model weights (.pt) for three iterations each of optical and acoustic models, validation …
- DOCX
- MD
- ZIP
- HTML
- GovData Germany
Question Answering Datensatz, basierend auf den Dokumenten des Münchner Dienstleistungsfinders
open.bydataUpdated 11 Nov 2026
… passage-retrieval-dpr-system-bce5aee4fd40 Question-Answering (QA) * https://huggingface.co/learn/nlp-course/chapter7/7?fw=pt
- TXT
- 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 …
- data.gov.uk
Environmental and location data for Malaise trap samples in the leakage belt of the Gola Rainforest National Park, Sierra Leone, November to December 2021
Environmental Information Data CentreUpdated 6 Nov 2026
This dataset contains information about the locations and local environmental conditions of 123 Malaise trap samples collected in …
- ZIP
- Data.gov Catalog
Characterizing cleft palate toxicants using ToxCast data, chemical structure, and the biomedical literature
U.S. EPA Office of Research and Development (ORD)Updated 7 Aug 2019
A data set of 500 chemicals evaluated for their ability to induce cleft palate in animal prenatal developmental …
- VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET
- data.gov.au
Stochastic Modelling of Mineral Exploration Targets
Geoscience Australia DataUpdated 18 Nov 2025
… In this study a stochastic technique based on multivariate 23 geostatistical simulations and ensemble tree-based learners is …
- 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
- Opendatasoft hubLive preview
Physics-based Simulations of 3D Wave Propagation with Source Variability: HEMEW^S-3D
Lehmann, FannyUpdated 19 Sept 2024
Lien vers la fiche source The HEMEW^S-3D database contains 30,000 simulation results of the 3D …
- CSV
- JSON
- GEOJSON
- ODS API
- 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
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- PNG
- 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
… learning model demonstrates that public geospatial data can accurately predict natural resources conflicts, but we show that machine …
- HTML
- 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
- 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 Catalog
G2Aero Database of Airfoils - Curated Airfoils
National Renewable Energy Lab - NRELUpdated 30 Sept 2024
… can be used as a parameter space for machine-learning applications focused on airfoil shapes. We constructed the …
- HTML
- NPZ
- Data.gov Catalog
Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia - Perpetual Hazards
U.S. Geological SurveyUpdated 28 Feb 2023
… coastal hazards that act on it, (4) the machine learning output, or Coastal Change Likelihood (CCL), based on …
- XML
- 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.
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- 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