Dataset: Inlet particle speeds from 5 high-speed video frames at 3 temperature treatments from Oikopleura dioica particle tracking experiments conducted in December 2015

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.897682.1Version 1 (2023-06-15)Dataset Type:experimental

Principal Investigator: Brad J. Gemmell (University of South Florida)

Principal Investigator, Contact: Kelly Rakow Sutherland (University of Oregon)

Scientist: Keats R. Conley (University of Oregon)

Scientist: Terra C. Hiebert (University of Oregon)

Scientist: George von Dassow (University of Oregon)

BCO-DMO Data Manager: Shannon Rauch (Woods Hole Oceanographic Institution)

Project: Collaborative Research: Comparative feeding by gelatinous grazers on microbial prey (Gelatinous Grazer Feeding)

Abstract

These data include tail beat kinematics measurements and particle tracking from the appendicularian Oikopleura dioica during experiments conducted in December 2015 at the Sars Centre for Marine Molecular Biology in Bergen, Norway. The data were collected from high-speed video frames. The experiments comprised 3 temperature treatments. This dataset includes measurements of particle movement. Manual particle tracking was used to estimate flow speeds across the inlet filter as driven by tail be...

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Cite Dataset

The primary data file for this dataset, "897682_particle_speed.csv", contains the raw data. The supplemental file, "897682_particle_speed_averages_and_maximums.csv", contains the maximum speed and average speed for each video, as well as the population mean maximum speeds. The videos are attached as Supplemental Files (there is one .zip folder for each temperature treatment).

Related Datasets

IsRelatedTo
Dataset: Filter area measurements from Oikopleura dioica experiments
Gemmell, B. J., Sutherland, K. R., Conley, K. R., Hiebert, T. C., von Dassow, G. (2023) Filter area measurements from Oikopleura dioica tail beat kinematics and particle tracking experiments conducted in December 2015. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-06-15 doi:10.26008/1912/bco-dmo.897665.1
IsRelatedTo
Dataset: Tail beat frequency in Oikopleura dioica at 3 temperature treatments
Gemmell, B. J., Sutherland, K. R., Conley, K. R., Hiebert, T. C., von Dassow, G. (2023) Tail beat frequency in the appendicularian Oikopleura dioica during particle tracking experiments comprised of three temperature treatments conducted in December 2015. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-06-15 doi:10.26008/1912/bco-dmo.897617.1
IsRelatedTo
Dataset: Tail wave amplitude in Oikopleura dioica at 3 temperature treatments
Gemmell, B. J., Sutherland, K. R., Conley, K. R., Hiebert, T. C., von Dassow, G. (2023) Tail wave amplitude from 5 high-speed video frames at 3 temperatures from Oikopleura dioica particle tracking experiments conducted in December 2015. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-06-22 doi:10.26008/1912/bco-dmo.897825.1

Related Publications

Results
Hiebert, TC, Gemmell, BJ, von Dassow, G, Conley, KR, & Sutherland, KR. (Under Review). The hydrodynamics and kinematics of the appendicularian tail underpin peristaltic pumping.
Methods
Gemmell, B. J., Jiang, H., & Buskey, E. J. (2014). A new approach to micro-scale particle image velocimetry (µPIV) for quantifying flows around free-swimming zooplankton. Journal of Plankton Research, 36(5), 1396–1401. https://doi.org/10.1093/plankt/fbu067

Gemmell, B. J., Sutherland, K. R., Conley, K. R., Hiebert, T. C., von Dassow, G. (2023) Inlet particle speeds from 5 high-speed video frames at 3 temperature treatments from Oikopleura dioica particle tracking experiments conducted in December 2015. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-06-15 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.897682.1 [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.

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Funded by the U.S. National Science Foundation