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dc.contributor.authorKing, Erin Victoria
dc.contributor.authorConley, Daniel C.
dc.contributor.authorMasselink, Gerd
dc.contributor.authorLeonardi, Nicoletta
dc.contributor.otherFaculty of Science & Engineeringen_US
dc.date.accessioned2021-08-17T13:39:10Z
dc.date.available2021-08-17T13:39:10Z
dc.date.issued2021-08-14
dc.identifier.citation

KIng, E. V. et al. (2021). Predicting Dominance of Sand Transport by Waves, Tides, and Their Interactions on Sandy Continental Shelves: Dataset. PEARL Research Repository http://dx.doi.org/10.24382/5004

dc.identifier.urihttp://hdl.handle.net/10026.1/17601
dc.description.abstract

This is the dataset accompanying the article of King et al. (2021) by the same title in the Journal of Geophysical Research: Oceans. This dataset contains data in MATLAB .mat format for the data presented in the above paper, including trained k-Nearest Neighbour classifiers for dominant sand transport mode and magnitude.

en_US
dc.language.isoen
dc.publisherUniversity of Plymouthen
dc.relation.urihttps://doi.org/10.1029/2021JC017200en_US
dc.relation.urihttp://hdl.handle.net/10026.1/18089
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectsediment transporten_US
dc.subjectcontinental shelfen_US
dc.subjectk-Nearest Neighbouren_US
dc.subjectsandwavesen_US
dc.titlePredicting Dominance of Sand Transport by Waves, Tides, and Their Interactions on Sandy Continental Shelves: Dataseten_US
dc.typeDataseten_US
dc.identifier.doihttp://dx.doi.org/10.24382/5004
rioxxterms.funderNatural Environment Research Councilen_US
rioxxterms.identifier.projectNE/M004996/1; BLUE-coast projecten_US


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Attribution 3.0 United States
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