Dataset: Data from laboratory disaggregation experiments with Skeletonema grethae using a disaggregation roller tank that exposed aggregates to time-varying laminar shear in 2021

This dataset has not been validatedData not availableVersion 1 (2024-04-15)Dataset Type:Unknown

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. Particle aggregates were formed by rolling sterile cultures of Skeletonema grethae at a slow constant rate. Fragmentation was induced by oscillating the roller tank motion (following published methods) to create time-varying laminar shear with values relevant to turbulent shear in the op...

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Cite Dataset

See the Related Datasets section for access to 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

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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

Rau, M. (2024) Data from laboratory disaggregation experiments with Skeletonema grethae using a disaggregation roller tank that exposed aggregates to time-varying laminar shear in 2021. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-04-15 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/924936 [access date]

Terms of Use

This dataset is licensed under Creative Commons Attribution 4.0.


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Funded by the U.S. National Science Foundation