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787 datasets for “machine learning”
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NiTi-Like SMAs transformation temperatures dataset
THIERCELIN, LeoUpdated 10 Apr 2026
Lien vers la fiche source This dataset provides the martensite transformation temperatures for various "NiTi-like" alloys containing …
- CSV
- JSON
- GEOJSON
- ODS API
- data.gov.au
Seagrass meadows of Hervey Bay and the Great Sandy Strait, Queensland, derived from field surveys conducted 6-14 December, 1998
Australian Ocean Data NetworkUpdated 23 Jun 2025
Approximately 2,362 ±289 km2 of seagrass meadows were mapped in the waters of Hervey Bay and Great …
- WFS
- WMS
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- data.gov.au
Seagrass meadows of Hervey Bay and the Great Sandy Strait, Queensland, derived from field surveys conducted 6-14 December, 1998
Australian Ocean Data NetworkUpdated 10 Sept 2026
Approximately 2,362 ±289 km2 of seagrass meadows were mapped in the waters of Hervey Bay and Great …
- WFS
- WMS
- HTML
- PNG
- data.gov.au
High resolution conductivity mapping using regional AEM survey and machine learning.
Geoscience Australia DataUpdated 16 Oct 2025
… We have used a machine learning modelling approach that establishes predictive relationships between the inverted flight-line modelled …
- ZIP
- WMS
- WCS
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B-spline Dataset of "B-spline Curve Approximation With Transformer Neural Networks"
Saillot, MathisUpdated 11 Apr 2025
Lien vers la fiche source B-spline Dataset of B-spline Curve Approximation With Transformer Neural Networks article …
- CSV
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- GEOJSON
- ODS API
- data.gov.au
Bass Strait Sediment Grain Size Prediction Grids
Australian Ocean Data NetworkUpdated 12 Aug 2026
… These grids were the results of the predictive modelling using machine learning models. The inputs to the machine …
- ZIP
- Opendatasoft hubLive preview
Training and development dataset for information extraction in plant epidemiomonitoring
MaIAGEUpdated 20 Feb 2025
Lien vers la fiche source The “Training and development dataset for information extraction in plant epidemiomonitoring” is the …
- CSV
- JSON
- GEOJSON
- ODS API
- Data.gov Catalog
Data from: Single-kernel NIR spectroscopy for non-destructive rice bran color discrimination across diverse hull types and production environments
Agricultural Research ServiceUpdated 26 Jun 2026
Uniformity of rice bran color is important in the whole grain rice market as well as in seed …
- XLSX
- 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.au
A new R package for spatial predictive modelling: spm
Geoscience Australia DataUpdated 16 Oct 2025
… Recently developed hybrid methods of machine learning methods and geostatistics have shown their advantages in spatial predictive modelling …
- HTML
- Data.gov Catalog
Utah FORGE: Phase-Picking Based Microseismic Event Catalog - April 2024 Stimulation
University Of UtahUpdated 23 Feb 2026
This catalog contains microseismic event locations recorded during the April 2024 stimulation at the Utah FORGE site. Events …
- CSV
- Data.gov Catalog
A Data-Driven Approach to Complex Voxel Predictions in Grayscale Digital Light Processing Additive Manufacturing Using U-nets and Generative Adversarial Networks
National Institute of Standards and TechnologyUpdated 7 Mar 2023
… The data were originally curated to train image-to-image U-net machine learning models to predict voxel …
- PLAIN
- ZIP
- data.gov.au
Australia-wide 30 m machine learning-derived canopy height models composites: best pick and median
CSIRO Data Access PortalUpdated 19 Nov 2025
… Both products were generated and validated as part of the study titled “Accuracy of Machine Learning-Derived Canopy …
- GovData Germany
Reference transmission µFourier-Transfrom Infrared spectra and image of microplastics (RefIMP) and the skript MPVal for automatized evaluation of microplastics data analysis routines
open.bydataUpdated 14 Nov 2026
This dataset supplements the research article "Know What You Don’t Know: Assessment of Overlooked Microplastic Particles in …
- data.gouv.fr
Image microtomographiques de matériaux composites de type Glass Fiber Reinforced Poymer (GFRP) à plusieurs couches impactés (Machine Learning)
IRL 2958 Georgia Tech - CNRSUpdated 10 Mar 2026
… The samples were then impacted at different energies in order to train a machine learning model to detect …
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- data.gouv.fr
BenchGecko - toutes les données autour de l' IA
BenchGeckoUpdated 22 Apr 2026
Jeu de données ouvert sur les modèles d'intelligence artificielle, leurs scores de benchmarks, leur tarification multi-fournisseurs …
- CSV
- GovData Germany
Forest Structure - Sentinel-1/2, GEDI - Germany, Yearly
open.bydataUpdated 11 Nov 2026
… The products were generated using a machine learning modelling approach that combines complementary spaceborne remote sensing sensors, namely …
- WMS
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Data and Rscripts for: "Hierarchizing multiscale environmental effects on agricultural pest population dynamics: a case study on the annual onset of Bactrocera dorsalis population growth in Senegalese orchards"
Caumette, CécileUpdated 19 Aug 2024
Lien vers la fiche source These data and scripts are provided as supplementary material, in order to illustrate …
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- GEOJSON
- ODS API
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Projet Artisols - Espaces bâtis
OSE, KENJIUpdated 2 May 2022
… extraction automatique par méthode d'apprentissage profond (deep learning) à partir d'imagerie très haute résolution spatiale (1 …
- CSV
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- GEOJSON
- ODS API
- Data.gov Catalog
Utah FORGE 2-2439v2: A Multi-Component Approach to Characterizing In-Situ Stress - Final Report
University of PittsburghUpdated 22 Dec 2025
… at the Utah FORGE EGS site that integrates Machine Learning (ML) methods for predicting near-well principal stresses …