©2026 Biological and Chemical Oceanography Data Management Office.Unknown Authors (2023). Lagrangian Structure and Stretching in Bacterial Turbulence Modeling Results from February 2020 (VIC project). BCO-DMO (Version 1) Version Date 2023-09-06. https://doi.org/10.26008/1912/bco-dmo.907823.1 [access date]
(Tufts University) (Woods Hole Oceanographic Institution)Dense suspensions of active, self-propelled agents spontaneously exhibt large-scale, chaotic flow structures. Descriptions of their dynamics have predominately focused on characterization of spatiotemporal correlation of the velocity field, but their transport and mixing properties remain largely unknown. In this work, we use Lagrangian analysis techniques to study the chaotic flow field generated by "bacterial turbulence" in dense suspensions of Bacillus subtilis. High-resolution velocity field...
Views
Downloads
These numbers come from web analytics and reflect real user activity on the site. Download counts include both page-based interactions and direct file downloads. They reliably show dataset usage and are mostly free of bot traffic.
Versions1
Looking for more features? The Dataset Landing Page provides access to all versions, and will always resolve to the latest one. This page provides enhanced metadata and additional access options.
Funding
| Award # | Source |
|---|---|
| OCE-1829827 | NSF OCE |
Velocity Field Variables:
U: u-component of the velocity fields
V: v-component of the velocity fields
X,Y: XY coordinates produced from the PIV analysis (meshgrid layout)
Stretching Field Variables:
TINT: Integration time for tracer particles (s)
choice: parameter choices for numerical experiment, see code for details
stretch: a Nx1 cell of the stretching field for this particular integration time, where each cell is a frame
tintegrate: time vector of the tracer particle integration
x_field, y_field: Initial xy coordinates of tracer particle grids. Formed using meshgrid