Data for: Green water on a fixed structure due to incident bores: guidelines and database for model validations regarding flow evolution

Published: 6 Dec 2019 | Version 1 | DOI: 10.17632/zjrsmffh4d.1
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Description of this data

This repository contains Supplementary Material of the article: "Hernández-Fontes J.V., Esperança P.T.T., Barcenas J.F., Sphaier S.H., Silva R. Green water on a fixed structure due to incident bores: guidelines and database for model validations regarding flow evolution. Water. 2019". The database includes time series of water elevations for the five repetitions of C1-C5, for EXP1 and EXP2, captured by CAM1 and CAM2 (see the article for reference), which can be employed to perform model validations.

The "Info.pdf" document includes details regarding the data files.

Experiment data files

Latest version

  • Version 1

    2019-12-06

    Published: 2019-12-06

    DOI: 10.17632/zjrsmffh4d.1

    Cite this dataset

    Hernández-Fontes, Jassiel; Esperança, Paulo de Tarso T.; Barcenas, Juan F. ; Sphaier, Sergio; Silva, Rodolfo (2019), “Data for: Green water on a fixed structure due to incident bores: guidelines and database for model validations regarding flow evolution”, Mendeley Data, v1 http://dx.doi.org/10.17632/zjrsmffh4d.1

Statistics

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Downloads: 152

Institutions

Universidad Nacional Autonoma de Mexico, Universidade Federal do Rio de Janeiro, Universidad del Caribe

Categories

Image Processing, Experimental Design, Water, Offshore Structure, Fluid-Structure Interaction (Hydrodynamics), Image Analysis

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?
You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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