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Imaging · dataset · 2022

Quantification and Characterization of Turbulent Flow using Magnetic Resonance

Listed in UNB Libraries Dataverse Research Data Repository

This dataset contains magnetic resonance measurements as well as Matlab code for processing.

Description

The dataset is meant to accompany the Ph.D. thesis of Amy-Rae Gauthier entitled “Quantification and Characterization of Turbulent Flow using Magnetic Resonance” to facilitate reproduction of the results.

Links

Where it is published

Catalogue records · 1

Topics

Stated by source
Physics
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
UNB Libraries Dataverse Research Data Repositorydoi:10.25545/EAJ1CI10 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].dataverse_subject:physicssource · dataverse lib unb caconnector:dataverse_lib_unb_ca@1.0.0/subjects
concepts[field].local:field:physicsmapping · dataverse lib unb caconnector:dataverse_lib_unb_ca@1.0.0/subjects
concepts[modality].local:modality:mrimapping · dataverse lib unb cavocabulary-mapper@1.0.0keywords['Magnetic Resonance']
created_datesource · dataverse lib unb caconnector:dataverse_lib_unb_ca@1.0.0
descriptionsource · dataverse lib unb caconnector:dataverse_lib_unb_ca@1.0.0/description
publication_datesource · dataverse lib unb caconnector:dataverse_lib_unb_ca@1.0.0
titlesource · dataverse lib unb caconnector:dataverse_lib_unb_ca@1.0.0/name
updated_datesource · dataverse lib unb caconnector:dataverse_lib_unb_ca@1.0.0
version_labelsource · dataverse lib unb caconnector:dataverse_lib_unb_ca@1.0.0