Wave data of Advancing Resilience Measures for Vegetated Coastlines (ARM4VEG), Guyana
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
Datacite citation style:
Best, Uwe; van der Wegen, Mick; Dijkstra, Jasper; Reyns, Johan; Bram van Prooijen et. al. (2022): Wave data of Advancing Resilience Measures for Vegetated Coastlines (ARM4VEG), Guyana. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/18131366.v1Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Chateau Margot, Guyana
lat (N): 6.82022222
lon (E): 58.07358333view on openstreetmap
time coverageNovember 2019 - January 2021
licenceCC BY 4.0
This collection contains data collected during mangrove-mudflat campaign in Guyana, during the PhD Thesis project of Uwe Best. It is being made public both to act as supplementary data for publications and the final PhD thesis document, as well as to allow for open usage by other researchers in their own work.
This dataset includes both the raw and processed data acquired by the six (6) pressure transducers (PTs) and the two (2) Acoustic Doppler Velocimeters (ADVs). Theses instruments were established along the main transect, MB at the Chateau Margot coastline, Guyana. The sampling frequency of the pressure transducers was set to 5 Hz to collect water levels and allow for the extraction of both infragravity waves, and wind-generated waves via a MATLAB script.
Obtained pressure data from the wave sensors were corrected for the atmospheric pressure prior to the conversion to water depths using linear wave theory. The data is pre-processed using filtering, averaging and data correction. Spectral analysis of the obtained wave signal was executed according to the Hegge and Masselink (1996) Fourier analysis scheme, resulting in wave energy density spectra for each burst.
- 2022-01-11 first online, published, posted
formatzipped MATLAB data and code files (.mat, .m) and excel (.xlsx) files.
- The fieldwork presented in this paper was conducted under the research permit “Mangrove- Mudflat Coastlines Impacted by Sea Level Rise (SLR)- Hydrodynamics and Sediment Dynamics, Chateau Margot Mangroves, Guyana’. It was funded jointly by the Mangrove Research of NAREI (Project #:2019-01) and the PhD Project, 107440 (IHE Delft – Deltares).
organizationsTU Delft, Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering, Coastal Engineering, instead of Delft University of Technology;
IHE Delft Institute for Water Education, Department of Water Science and Engineering;
Deltares, Ecosystems and Sediment Dynamics (ESD), Marine and Coastal Systems : Applied Morphodynamics (AMO);
Guyana Restoration and Management Department, National Agricultural Research and Extension Institute (NAREI);
Ministry of Public Works, Guyana.