Dataset for "High-resolution monitoring of wave transformation in the surf zone using a LiDAR scanner array"

Dataset for "High-resolution monitoring of wave transformation in the surf zone using a LiDAR scanner array"

This dataset comprises the primary data used in the paper "High-resolution monitoring of wave transformation in the surf zone using a LiDAR scanner array". The dataset is composed of 3 .mat files, which were generated with the MATLAB software. Mostly, the data consists of the surface elevation for each of the 116 waves measured by the LiDAR and presented in the paper. Along with this, the data used to produce Figure 6, and the breaking point locations detected by every method (used to produce Figure 7) are also provided. The content of each file is described in the metadata contained in the structure data. This dataset is distributed under the Creative Commons Attribution 4.0 International license.

Keywords:
Breaking Waves, Wave Breaking, Coastal Engineering
Subjects:
Civil engineering and built environment

Cite this dataset as:
Blenkinsopp, C., Martins, K., 2018. Dataset for "High-resolution monitoring of wave transformation in the surf zone using a LiDAR scanner array". University of Bath. https://doi.org/10.15125/BATH-00540.

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Data

Individual_wave_data.mat
application/octet-stream (183MB)
Creative Commons: Attribution 4.0

MATLAB data containing free surface elevations along the Lidar array measurement profile for 116 selected waves contained within the "waves" structure. Documentation for the "waves" structure is contained in the file within the "metadata" structure.

Figure_6_data.mat
application/octet-stream (1MB)
Creative Commons: Attribution 4.0

MATLAB data used to create Fig 6 in paper. The data are contained within the "wave" structure. Documentation for the "wave" structure is contained in the file within the "metadata" structure.

Figure_7_data.mat
application/octet-stream (2kB)
Creative Commons: Attribution 4.0

MATLAB data used to create Fig 7 in paper. The data are contained in the "breaking_point" structure. Documentation for the "breaking_point" structure is contained in the file within the "metadata" structure.

Creators

Chris Blenkinsopp
University of Bath

Kevin Martins
University of Bath

Coverage

Collection date(s):

From 9 April 2016 to 11 April 2016

Geographical coverage:

Saltburn-by-the-Sea, UK

Documentation

Data collection method:

For details of the methodology used, see the "Methodology" section of the corresponding paper, DOI: 10.1016/j.coastaleng.2017.07.007

Technical details and requirements:

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

Documentation Files

README.txt
text/plain (814B)
Creative Commons: Attribution 4.0

Further details of dataset.

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: 14 August 2018
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-00540

URL for this record: https://researchdata.bath.ac.uk/id/eprint/540

Related articles

Martins, K., Blenkinsopp, C. E., Power, H. E., Bruder, B., Puleo, J. A. and Bergsma, E. W.J., 2017. High-resolution monitoring of wave transformation in the surf zone using a LiDAR scanner array. Coastal Engineering, 128, pp.37-43. Available from: https://doi.org/10.1016/j.coastaleng.2017.07.007.

Martins, K., Blenkinsopp, C. E., Almar, R. and Zang, J., 2017. The influence of swash-based reflection on surf zone hydrodynamics: a wave-by-wave approach. Coastal Engineering, 122, pp.27-43. Available from: https://doi.org/10.1016/j.coastaleng.2017.01.006.

Martins, K., Bonneton, P., Frappart, F., Detandt, G., Bonneton, N. and Blenkinsopp, C., 2017. High Frequency Field Measurements of an Undular Bore Using a 2D LiDAR Scanner. Remote Sensing, 9(5), p.462. Available from: https://doi.org/10.3390/rs9050462.

Martins, K., Blenkinsopp, C. E., Deigaard, R. and Power, H. E., 2018. Energy Dissipation in the Inner Surf Zone: New Insights From LiDAR-Based Roller Geometry Measurements. Journal of Geophysical Research: Oceans, 123(5), pp.3386-3407. Available from: https://doi.org/10.1029/2017JC013369.

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