Dataset: Element quotas of individual phytoplankton cells from four Bermuda Atlantic Iron Time-Series (BAIT) cruises in 2019

This dataset has not been validatedData not availableVersion 1 (2025-03-19)Dataset Type:Cruise Results

Principal Investigator: Benjamin Twining (Bigelow Laboratory for Ocean Sciences)

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

Program: U.S. GEOTRACES (U.S. GEOTRACES)

Project: NSFGEO-NERC: Collaborative Research: Using Time-series Field Observations to Constrain an Ocean Iron Model (BAIT)

Abstract

Individual phytoplankton cells were collected on four cruises (March, May, August, and November 2019) as part of the Bermuda Atlantic Iron Time-Series (BAIT) Project. The elemental (Si, P, S, Mn, Fe, Co, Ni, Cu, Zn) content of each cell was measured with synchrotron x-ray fluorescence (SXRF). Carbon was calculated from biovolume. These data can be used to assess biogenic particulate metal fraction, as well as changes in the accumulation of these elements across seasons.

Cite Dataset

Samples were collected on 4 cruises (AE1909, AE1921, AE1930, and EN63) in the Western North Atlantic at the Bermuda Atlantic Time-Series Study region. Single-cell synchrotron x-ray fluorescence (SXRF) samples were collected from the surface mixed layer using the GEOTRACES rosette. Whole water samples were preserved with 0.25% trace-metal clean buffered glutaraldehyde (Twining et al., 2003) and centrifuged onto SiN TEM windows. Windows were briefly rinsed with a drop of ultrapure water and dried in a Class-100 cabinet. SXRF analysis was performed using the 2-ID-E beamline at the Advanced Photon source (Argonne National Laboratory) following the protocols of Twining et al. (2011). Each cell was raster scanned with a focused 10 keV x-ray beam with a diameter of approximately 0.5 micrometers (um).

Related Datasets

IsRelatedTo
Dataset: 2019 BAIT Particulate Metals
Twining, B., Ohnemus, D. C., Sofen, L. (2023) Particulate trace element concentrations measured during four cruises in 2019 at locations around the Bermuda Atlantic Time-series Study (BATS) station. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-02-01 doi:10.26008/1912/bco-dmo.888772.1

Related Publications

Results
Sofen, L. E., Antipova, O. A., Buck, K. N., Caprara, S., Chacho, L., Johnson, R. J., Kim, G., Morton, P., Ohnemus, D. C., Rauschenberg, S., Sedwick, P. N., Tagliabue, A., & Twining, B. S. (2023). Authigenic Iron Is a Significant Component of Oceanic Labile Particulate Iron Inventories. Global Biogeochemical Cycles, 37(12). Portico. https://doi.org/10.1029/2023gb007837
Results
Tagliabue, A., Buck, K. N., Sofen, L. E., Twining, B. S., Aumont, O., Boyd, P. W., Caprara, S., Homoky, W. B., Johnson, R., König, D., Ohnemus, D. C., Sohst, B., & Sedwick, P. (2023). Authigenic mineral phases as a driver of the upper-ocean iron cycle. Nature, 620(7972), 104–109. https://doi.org/10.1038/s41586-023-06210-5
Methods
Hillebrand, H., Dürselen, C.-D., Kirschtel, D., Pollingher, U., & Zohary, T. (1999). Biovolume calculation for pelagic and benthic microalgae. Journal of Phycology, 35(2), 403–424. doi:10.1046/j.1529-8817.1999.3520403.x
Methods
Menden-Deuer, S., & Lessard, E. J. (2000). Carbon to volume relationships for dinoflagellates, diatoms, and other protist plankton. Limnology and Oceanography, 45(3), 569–579. doi:10.4319/lo.2000.45.3.0569
Methods
Núñez-Milland, D. R., Baines, S. B., Vogt, S., & Twining, B. S. (2010). Quantification of phosphorus in single cells using synchrotron X-ray fluorescence. Journal of Synchrotron Radiation, 17(4), 560–566. https://doi.org/10.1107/s0909049510014020

Twining, B. (2025) Element quotas of individual phytoplankton cells from four Bermuda Atlantic Iron Time-Series (BAIT) cruises in 2019. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-03-19 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/956540 [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