Dataset: Data from laboratory disaggregation experiments with Odontella aurita using a disaggregation roller tank that exposed aggregates to time-varying laminar shear in 2020

This dataset has not been validatedData not availableVersion 1 (2023-12-15)Dataset Type:experimental

Principal Investigator: Matthew Rau (Pennsylvania State University)

Student: Yixuan Song (Pennsylvania State University)

BCO-DMO Data Manager: Amber D. York (Woods Hole Oceanographic Institution)

Project: Collaborative Research: The importance of particle disaggregation on biogeochemical flux predictions (Disaggregation)

Abstract

These data include particle aggregate size, morphology, and fragmentation statistics obtained from laboratory experiments using a disaggregation roller tank that exposed aggregates to time-varying laminar shear. Laboratory experiments were conducted at Penn State University in 2021. Particle aggregates were formed by rolling sterile cultures of Odontella Aurita at a slow constant rate. Fragmentation was induced by oscillating the roller tank motion (following published methods) to create time...

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Cite Dataset

See the Related Datasets section for access to the results of other disaggregation experiments conducted as part of this study.

These data were published in Song et al. (2023).
* This results publication includes additional supplementary material related to this dataset:
https://www.frontiersin.org/articles/10.3389/fmars.2023.1224518/full#supplementary-material

Related Datasets

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Related Publications

Results
Song, Y., Burd, A. B., & Rau, M. J. (2023). The deformation of marine snow enables its disaggregation in simulated oceanic shear. Frontiers in Marine Science, 10. https://doi.org/10.3389/fmars.2023.1224518
Methods
Song, Y., & Rau, M. J. (2022). A novel method to study the fragmentation behavior of marine snow aggregates in controlled shear flow. Limnology and Oceanography: Methods, 20(10), 618–632. Portico. https://doi.org/10.1002/lom3.10509
Software
MathWorks (2018), MATLAB version R2018 Documentation, The Mathworks, Inc. Retrieved December 15, 2023 from https://www.mathworks.com/help/releases/R2018b/index.html

Rau, M., Song, Y. (2023) Data from laboratory disaggregation experiments with Odontella aurita using a disaggregation roller tank that exposed aggregates to time-varying laminar shear in 2020. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-12-15 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/917040 [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