Continuous wave and tide observations at station BEFmate_seafloor2 (2020-06)

DOI

Local tide and wave conditions were recorded with a RBRduo TDǀwave sensor (RBR Ltd., Ontario/Canada). The sensor was bottom mounted in a shallow tidal creek (0.78 m NHN) through a steel girder (buried 0.3m deep in the sediment) and was positioned 10 cm above sediment surface, as was determined by using a portable differential GPS. This resulted in the sensor falling dry during low tide. For accurate depth calculations, raw pressure data were manually corrected for atmospheric pressure derived from a locally installed weather station. The sensor was pre-calibrated by the manufacturer and the sampling rate was 3 Hz with 1024 samples per burst at a sample interval of 10 min. Recorded data were internally logged until the readout with the Ruskin (V1.13.13) software. Date and time is given in UTC.Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, and (c) visually checks. Low-tide data is not removed, but were easily identified through the manually calculated water depth data, where all depths < 0.05m represented low tide data.

Identifier
DOI https://doi.org/10.1594/PANGAEA.935114
Related Identifier https://doi.org/10.1594/PANGAEA.935185
Related Identifier https://doi.org/10.1594/PANGAEA.918521
Related Identifier https://doi.org/10.5194/essd-10-1843-2018
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.935114
Provenance
Creator Pieck, Daniela ORCID logo; Thölen, Claudia ORCID logo; Hillebrand, Helmut ORCID logo; Kleyer, Michael; Lõhmus, Kertu ORCID logo; Zielinski, Oliver ORCID logo
Publisher PANGAEA
Publication Year 2021
Funding Reference German Research Foundation https://doi.org/10.13039/501100001659 Crossref Funder ID 379417748 https://gepris.dfg.de/gepris/projekt/379417748 FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Language English
Resource Type Dataset
Format text/tab-separated-values
Size 47036 data points
Discipline Biogeography; Biospheric Sciences; Ecology; Geosciences; Natural Sciences
Spatial Coverage (7.721 LON, 53.758 LAT); Spiekeroog, German Bight, North Sea
Temporal Coverage Begin 2020-06-01T00:00:00Z
Temporal Coverage End 2020-06-30T23:50:00Z