Search results for machine learning

Predictive grids of major oxide concentrations in surface rock and regolith over the Australian continent

Geoscience Australia Data · Updated 17 Oct 2025

… To expand beyond the point measurements of the geochemical data, we have used a machine learning approach to …

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Data from Hackathon "GenHack 3 Generative Modeling Challenge": Predicting maize crop yield distribution under stochastic weather

Métivier, David · Updated 17 Jan 2025

Lien vers la fiche source Hackathon Overview The GenHack 3 is a data challenge organized by École Polytechnique …

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Replication Data for: Unravelling the Dark Web: explainable inference of the diversity of microbial interactions

BOHAN, David · Updated 10 Oct 2023

… We believe that this 'Dark Web' of interactions could be unravelled using an explainable machine learning approach, called …

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Airborne Network Packet Delay Estimation Dataset for Spatio Temporal Graph Neural Networks, Graph Neural Network and Neural Network

open.bydata · Updated 13 Nov 2026

1. Simulation Overview This dataset comprises processed simulation results from an Airborne Network. The simulations modeled networks of …

Vicmap Vegetation Tree Urban REST API

Vicmap · Updated 16 Jul 2025

… was used as the source information and a machine learning technique was utlised to extract the location of …

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Dataset for drivers of forest area development

OpenAgrar · Updated 23 Oct 2025

… These data are then used in different machine learning approaches, which first identify the relevant independent variables (drivers …

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FluvDepoSet

CSIRO Data Access Portal · Updated 27 Oct 2025

… It aims at providing a training and testing data set for machine learning applications that require geologically plausible …

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Grid Event Signature Library

Oak Ridge National Laboratory · Updated 28 Oct 2025

… with the goals of advancing the field of machine learning and artificial intelligence (ML/AI) for the grid …

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USDA-ARS Tucson, Arizona 2014-2022 Data Reservoir of Field Experiments with Managed Honey Bee Colonies: Annotated Hive Frame Photos: Dataset I

Agricultural Research Service · Updated 25 Aug 2026

… 1001 Each such ROI can be extracted into a separate image and used in training machine learning algorithms …

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Number of elementary and secondary schools by school board/school authority

Government of Ontario | Gouvernement de l'Ontario · Updated 25 Feb 2026

… Temporary Remote Learning Schools (TRLS). File format Please note the data files are provided in machine-readable format …

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StackAdapt shows global reach with online advertising innovation

Global Affairs Canada | Affaires mondiales Canada · Updated 4 Feb 2026

… StackAdapt in 2013 to apply data, analysis and machine learning to online advertising. They are now working with …

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Myanmar Monsoon Rice Sown Area_v1

Myanmar Information Management Unit (MIMU) · Updated 13 Apr 2026

Rice sown area estimation from Sentinel-1 SAR and Sentinel-2 optical images using Random Forest Machine Learning …

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Automatically Detected Field Boundaries in Canada, 2023

Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada · Updated 7 Jan 2026

OneSoil employs a proprietary machine learning (ML) model based on state-of-the-art instance segmentation to detect …

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Concrete printing defects dataset for quality process monitoring using computer vision

Rill-Garcia, Rodrigo · Updated 30 Jan 2024

… It could stem from a rule-based expert system, vector-to-action dictionaries, supervised machine learning models, etc.

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Major species map of La Massane Forest

Fabre, Sophie · Updated 22 Sept 2025

… A supervised object-oriented classification approach based on a reference database and machine learning algorithm (RF) was applied …

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Prairie Landscape Inventory (PLI) - Moist Mixed Grassland Classification

Government of Saskatchewan | Gouvernement de la Saskatchewan · Updated 26 Feb 2025

… Classification was based on machine learning analysis and remote sensing data of Sentinel-1 and Sentinel-2 imagery …

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National watershed boundary (HUC12) dataset for the conterminous United States, retrieved 10/26/2020

U.S. Geological Survey · Updated 27 Aug 2024

… This dataset is part of a larger data release using machine learning to predict public supply water use …

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DynaBench: A benchmark dataset for learning dynamical systems from low-resolution data

open.bydata · Updated 11 Nov 2026

… commonly used in the literature and evaluate several machine learning models, including traditional graph neural networks and point …

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INTEGRATE - Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements

National Renewable Energy Laboratory (NREL) · Updated 16 Jun 2022

… the National Institute of Standards and Technology (NIST) learns complex relationships between airfoil or blade shapes and their …

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Prairie Landscape Inventory (PLI) - Cypress Upland Classification

Government of Saskatchewan | Gouvernement de la Saskatchewan · Updated 26 Feb 2025

… The classification was based on Sentinel-1 and Sentinel-2 imagery using machine learning analysis in the Google …

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