File(s) | Type | Description | Action |
---|---|---|---|
PIV_files.csv (139.00 B) | Comma Separated Values (.csv) | Primary data file for dataset ID 564816 | Download |
This dataset is available as a large.zip file (1.8 GB compressed; 3.5 GB uncompressed) available for Download (WARNING: LARGE FILE). Each folder represents a different experiment. In the folders are:
1) A series of txt files, each of which describes 1 independent sample of a 3D velocity vector field measured in an x-y plane in the turbulence tank. The data is 5-column tab-delimited data:
Column 1 is x-location of velocity measurement (in mm, and defined relative to origin at the tank’s geometric center)
Column 2 is y-location (in mm)
Column 3 is x-component of velocity vector (in m/s)
Column 4 and 5 are y- and z-components of velocity vector, respectively (in m/s)
2) A *.mat file, including the same data as above, but arranged into an LxMxN matrix, in which L is x-location, M is y-location, and N is number of independent samples. Velocity components are called UU,VV, and WW. The x- and y- values are called xvals and yvals. This file is constructed from the *.txt files using the *.m file found in the root directory “view_and_organize_vectors_from_Darling.m”
3) Eight *.png figures that summarize the turbulent features of velocity fields.
4) A *.dat file giving some key statistics describing the turbulent features of velocity fields. This file is constructed from the *.mat files using the *.m file found in the root directory “analyze_vectors_from_Darling.m”
Variano, E., Karp-Boss, L., Jumars, P. (2015) Velocity fields from turbulence tanks, with analysis performed to describe its turbulence characteristics analyzed at University of California - Berkeley (DiatomTrajectories project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 2015-07-31) Version Date 2015-07-31 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/564816 [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.