Dataset for "Bore collapse and wave run-up on a sandy beach"

This dataset comprises the primary data used in the paper "Bore collapse and wave run-up on a sandy beach". The study collected high spatial-temporal resolution LiDAR field measurements of the evolving free-surface in the surf and swash zone which enable the bore collapse detection for 166 waves. These measurements are used to investigate the link between broken wave properties at bore collapse and wave run-up.

The dataset is comprised of a two .mat files generated using MATLAB. The first file primarily consists of the surface elevation and depth data for the 161 bore collapse events. The second file contains the detected bore collapse parameters for each of the events.

The content of each file is described in the readme structure contained within each .mat file This dataset is distributed under the Creative Commons Attribution 4.0 International license.

Subjects:
Civil engineering and built environment

Cite this dataset as:
Bergsma, E., Blenkinsopp, C., Martins, K., 2019. Dataset for "Bore collapse and wave run-up on a sandy beach". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00589.

Export

[QR code for this page]

Data

02_Collapse … boreCollapse_paper.mat
application/octet-stream (5kB)
Creative Commons: Attribution 4.0

MATLAB data containing detected bore collapse parameters for each of 161 bore collapse events. The MATLAB file contains: runup = Horizontal wave runup (m) Hbore = Bore height at collapse (m) celerity = Terminal bore celerity at collapse (m/s) xCol = Bore collapse cross-shore position (m) tCol = Bore collapse time (MATLAB datenum)

01_LiDAR_DATA_boreCollapse_paper.mat
application/octet-stream (370MB)
Creative Commons: Attribution 4.0

MATLAB data containing free surface elevations along the Lidar array measurement profile for a time series containing 161 bore collapse events contained. The MATLAB file contains: time = Sampling time (MATLAB datenum) dt = Sampling timestep (s) freq = Sampling frequency x = Cross-shore position of Lidar datapoints (m) zEta = Time series of surface elevation at cross-shore positions in x (m) zBed = Bed elevations at x locations (m) depth = Water depths (m)

Openly available for download

Creators

Erwin Bergsma
Centre National d'Etudes Spatiales; Observatoire Midi-Pyrénées

Kévin Martins
University of Bath

Contributors

University of Bath
Rights Holder

Coverage

Collection date(s):

From 26 November 2015 to 4 December 2015

Geographical coverage:

Vietnam, Nha Trang Beach

Documentation

Data collection method:

For details of the methodology used, see the "Methodology" section of the corresponding paper, DOI: 10.1016/j.csr.2019.01.009

Technical details and requirements:

The files are in MATLAB v5.0 format and were created on 64bit Microsoft Windows.

Methodology link:

Bergsma, E. W.J., Blenkinsopp, C. E., Martins, K., Almar, R., and de Almeida, L. P. M., 2019. Bore collapse and wave run-up on a sandy beach. Continental Shelf Research, 174, 132-139. Available from: https://doi.org/10.1016/j.csr.2019.01.009.

Funders

Engineering and Physical Sciences Research Council (EPSRC)
https://doi.org/10.13039/501100000266

Waves in Shallow Water
EP/N019237/1

Publication details

Publication date: 23 January 2019
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-00589

URL for this record: https://researchdata.bath.ac.uk/id/eprint/589

Related papers and books

Bergsma, E. W.J., Blenkinsopp, C. E., Martins, K., Almar, R., and de Almeida, L. P. M., 2019. Bore collapse and wave run-up on a sandy beach. Continental Shelf Research, 174, 132-139. Available from: https://doi.org/10.1016/j.csr.2019.01.009.

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Chris Blenkinsopp

Departments:

Faculty of Engineering & Design
Architecture & Civil Engineering

Research Centres & Institutes
Centre for Space, Atmospheric and Oceanic Science
Research Unit for Water, Environment and Infrastructure Resilience (WEIR)
Water Informatics: Science and Engineering Centre for Doctoral Training (WISE)
Water Innovation and Research Centre (WIRC)