Dataset: Sampling locations and ancillary data for bulk chemical and molecular characterization of organic carriers and their partition coefficients with radionuclide marine tracers.

ValidatedFinal no updates expectedDOI: 10.1575/1912/bco-dmo.764754.1Version 1 (2019-04-11)Dataset Type:experimental

Principal Investigator: Peter Santschi (Texas A&M, Galveston)

Co-Principal Investigator: Antonietta Quigg (Texas A&M, Galveston)

Co-Principal Investigator: Kathleen Schwehr (Texas A&M, Galveston)

Co-Principal Investigator: Chen Xu (Texas A&M, Galveston)

BCO-DMO Data Manager: Mathew Biddle (Woods Hole Oceanographic Institution)

Project: Biopolymers as carrier phases for selected natural radionuclides (of Th, Pa, Pb, Po, Be) in diatoms and coccolithophores (Biopolymers for radionuclides)

Abstract

To study the binding mechanisms of radionuclides to organic moieties in colloidal organic matter (COM),marine colloids (1 kDa–0.2 μm) were isolated by cross-flow ultrafiltration from seawater of the west Pacific Ocean and the northern Gulf of Mexico. For the same purpose, exopolymeric substances (EPS) produced by laboratory cultured diatoms were collected as well. In our study areas, colloidal organic carbon (COC) concentrations ranged from 6.5 to 202 μg-C/L in the Pacific Ocean, and were 808 μg...

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Sampling locations and ancillary data.

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Methods
Chuang, C-Y., Santschi, P. H., Xu, C., Jiang, Y., Ho, Y., Quigg, A., Guo, L., Hatcher, P. G., Ayranov, M., & Schumann, D. (2015). Molecular level characterization of diatom‐associated biopolymers that bind 234 Th, 233 Pa, 210 Pb, and 7 Be in seawater: A case study with Phaeodactylum tricornutum. In Journal of Geophysical Research: Biogeosciences (Vol. 120, Issue 9, pp. 1858–1869). American Geophysical Union (AGU). https://doi.org/10.1002/2015jg002970

Santschi, P., Quigg, A., Schwehr, K., Xu, C. (2019) Sampling locations and ancillary data for bulk chemical and molecular characterization of organic carriers and their partition coefficients with radionuclide marine tracers.. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2019-04-11 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.764754.1 [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