File(s) | Type | Description | Action |
---|---|---|---|
729461.csv (182.67 MB) | Comma Separated Values (.csv) | Primary data file for dataset ID 729461 | Add to Cart Download |
Instantaneous flow velocity distribution on a 2D (x-z) plane, where x and z denote the horizontal and vertical directions, respectively. The velocity field was measured by an underwater PIV system deployed in Lake Michigan to investigate turbulent flows and mixing above the lake bottom, as a result of interaction between lake currents and filter feeding activities of quagga mussels.
Please see supporting document Bio-mixing-PIV.pdf for a description of the data collection and preliminary results.
This dataset contains 6 of the 64 total image sets collected during the deployment. The 6 image sets are labeled as Cases A-F. The chosen sets represent a variety of hydrodynamic conditions. Sets A,B, and C represent the flow fields when the mussels were not actively feeding. Sets D,E, and F represent the flow fields when the mussels were actively feeding.
The datasets for each case are served with BCO-DMO as plain text files with fields for Case (A-F), Time (s), x coordinate (cm), z coordinate (z), u(m/s), and v (m/s). Each file is approximately 32.1 MB.
Links to the MatLab (2015b) version of these data are listed below. Each file is approximately 3.5 MB. Velocity measurements are listed in a 2D matrix format. Also listed are MatLab programs to read the data files and plot flow profiles.
Case A
Case B
Case C
Case D
Case E
Case F
MatLab file descriptions
Bootsma, H., Liao, Q. (2018) Particle image velocimetry (PIV) data for 6 representative cases of quagga mussel filter feeding activity collected during a benthic deployment from the R/V Neeskay on Aug. 2- Aug. 9, 2017.. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2018-03-06 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/729461 [access date]
Terms of Use
This dataset is licensed under Creative Commons Attribution 4.0.
If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.