Search results for deep
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403 datasets for “deep”
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DTM01 of Cantabrian Sea deep zone
IEO-CSIC, Spanish Oceanographic InstituteUpdated 1 Dec 2024
Lien vers la fiche source DTM with bathymetry data of Cantabrian Sea, deep zone, with deep between 122 …
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DTM02 of Cantabrian Sea deep zone
IEO-CSIC, Spanish Oceanographic InstituteUpdated 1 Dec 2024
Lien vers la fiche source DTM with bathymetry data of Cantabrian Sea, deep zone, with deep between 752 …
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POSTER Foss-AI, an exploratory project using deep learning to extract paleobiological and paleoenvironmental data from fossil woods.
Decombeix, Anne-LaureUpdated 7 Aug 2024
… Foss-AI, an exploratory project using deep learning to extract paleobiological and paleoenvironmental data from fossil woods.
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Deep-learning-ready RGB-Depth imaging dataset of early-growth plants.
MERCIER FélixUpdated 16 Dec 2024
Lien vers la fiche source Dataset composed of RGB, Depth, and Infrared images acquired while monitoring the growth …
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FaultDeform : Fast and Accurate Sub-pixel Displacement Estimation From Optical Satellite Images based on Deep Learning
Montagnon, TristanUpdated 12 Mar 2025
Lien vers la fiche source Contains the FaultDeform train, validation and test sub-datasets (10,000 samples). The …
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Supplementary Material for Ph.D. Thesis: Deep Supervision of the Vocal Tract Shape for Articulatory Synthesis of Speech
Souza Ribeiro, Vinicius de PauloUpdated 11 Feb 2024
… Deep Supervision of the Vocal Tract Shape for Articulatory Synthesis of Speech Videos demonstrating the methods proposed in …
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Multi-resolution X-ray tomography of a lattice structure for super-resolution using deep learning
Klos, AntoineUpdated 27 Oct 2025
… Super-resolution X-ray tomography using deep learning applied to the 3D quantification of defects in lattice structures …
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Data from: Deep Sea Spy: an online citizen science annotation platform for science and ocean literacy
Updated 21 Nov 2024
… individuals) — using the updated version (v0.0.3) of the deeptools package — among Deep Sea Spy citizen participants …
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Synthetic Datasets and Evaluations for Sub-pixel Displacements Estimation from Optical Satellite Images with Deep Learning
Montagnon, TristanUpdated 2 Nov 2023
… Contains also evaluations on realistic synthetics examples of a deep learning pipeline using two of the three models …
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MID ADRIATIC DEEP DTM 20 m
CNR, Institute of Marine Science (ISMAR) - BolognaUpdated 2 Feb 2018
Lien vers la fiche source This DTM is the result of merging of two multibeam surveys identified by …
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Integration DeepLabv3+ applied to RGB images and vegetation indices for nitrogen status in cereal-legume inter-cropping system
Yao, ZexingUpdated 18 Mar 2026
… Segmentation done with DeepLabv3+ (see publication: https://doi.org/10.1163/9789004725232_060 )
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Deep-sea mining activities on the North Atlantic
IfremerUpdated 15 May 2025
Lien vers la fiche source Presence of deep-sea mining exploration zones on the North Atlantic (18°N …
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Données de réplication pour deep sequencing of two mock phage communities
Petit, Marie AgnesUpdated 14 Jun 2024
Lien vers la fiche source Fastq files contain Illumina pair end reads (2x150 nt). The first set deals …
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Morphological map of the Irish continental shelf created using Deep Learning
Marine Institute IrelandUpdated 31 Jul 2024
Lien vers la fiche source Morphological map (10 classes) of the Irish shelf resulting from the modal aggregation …
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DEEP REST cruises
IfremerUpdated 15 Dec 2025
Lien vers la fiche source This geodatabase contains transit data from cruises included on the DEEP REST project …
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Outputs of predictive distribution models of deep-sea elasmobranchs in the Azores EEZ (down to 2,000m depth) using Generalized Additive Models
Institute of Marine ResearchUpdated 3 Sept 2024
Lien vers la fiche source We developed predictive distribution models of deep-sea elasmobranchs for up to 2000 …
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Deep sequencing of the plasmid content of Escherichia coli bacteriocin producers
Henrot, CarolineUpdated 29 Apr 2026
… In this dataset, deep sequencing of the plasmid content of 24 of the 30 bacteriocin producers is provided …
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Dataset for publication: Usefulness of synthetic datasets for diatom automatic detection using a deep-learning approach
Laviale, MartinUpdated 18 Nov 2024
… synthetic datasets for diatom automatic detection using a deep-learning approach". Dataset : The dataset consists of two components …
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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 surface origin of particles trapped in a deep sediment trap. The data contain : - I. Probability density function …
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Observation of deep near-inertial waves using PDS-CPIES in the western Arctic Ocean
Massachusetts Institute of Technology, Cambridge, MA, 02139, USAUpdated 14 Jan 2022
… The deep current is about 50 m above the bottom. The current-meter measures a speed range of …
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