Published on 01 January 2024 |
ATOMIX shear probes benchmark data: a dissipation profile from Minas Passage, Nova Scotia, Canada, obtained with a moored horizontal microstructure profiler in September 2016.
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This is a profile collected using a moored microstructure profiler, prepared as a benchmark shear-probe data example for the Scientific Committee on Oceanographic Research (SCOR) Working Group number 160, "Analyzing ocean turbulence observations to quantify mixing" (ATOMIX). The profile was collected in Minas Passage, Nova Scotia, Canada on 10 September 2016 from an Nemo moored horizontal microstructure profiler (MR-1000-TE, Rockland Scientific, Canada), located nominally 15 m above the bottom of Minas Passage in an area where the water depth was 80 m. The MicroRider turbulence measurement system carried four shear probes, one FP07 thermistor, and two piezo vibrations sensors. Additional sensors include a pressure transducer, a 2-axis inclinometer, a 3-axis magnetometer, a 3-axis accelerometer, a 3-axis rotation sensor, and a 3-axis acoustic current meter. The turbulence and vibration channels were configured to sample at a rate of 2048 per second, and had anti-aliasing filters set for 392 Hz. The gains of the differentiators were reduced to 0.01 second to accommodate the expected strong shear signals due to vigorous turbulence and fast streaming (around 3 m/s). The dataset has been processed and formatted in accordance with ATOMIX guidelines and recommendations. The provided file is organised in four hierarchical groups including L1_converted: continuous time series of data converted into physical units, L2_cleaned: cleaned time series used for spectral analysis, L3_spectra: wavenumber spectra, and L4_dissipation: dissipation rate estimates. For more detailed information, please refer to the comments within the data file.
Citations (1)
- https://doi.org/10.1038/s41597-024-03323-yMDC OpenAlex
Cited on 21 May 2024
Weight: 1.00
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Publication Details
DOI
Publisher
NERC EDS British Oceanographic Data Centre NOC
Subfield
Ocean Engineering
Field
Engineering
Domain
Physical Sciences
Confidence Score
50%
Source
Scholar Data Model