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.
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".
Bath: University of Bath Research Data Archive.
Available from: https://doi.org/10.15125/BATH-00540.
Export
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.
Contributors
University of Bath
Rights Holder
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.
Methodology link:
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, 37-43. Available from: https://doi.org/10.1016/j.coastaleng.2017.07.007.
Documentation Files
README.txt
text/plain (814B)
Creative Commons: Attribution 4.0
Further details of dataset.
Funders
Engineering and Physical Sciences Research Council
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 papers and books
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, 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, 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), 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), 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
Faculty of Engineering & Design
Architecture & Civil Engineering
