Dataset: Sedimentary radium isotope activity around Guaymas Basin from samples collected by HOV Alvin during R/V Atlantis cruise AT37-06 in December 2016

ValidatedFinal no updates expectedDOI: 10.1575/1912/bco-dmo.782858.1Version 1 (2019-11-25)Dataset Type:Cruise Results

Principal Investigator: Richard N. Peterson (Coastal Carolina University)

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

Project: Validation of a New Geochemical Approach to Constrain Deep Sea Porewater Residence Times and Advection Rates: Applications to Biogeochemical Cycling at Guaymas Basin (Guaymas Basin Ra 224 Approach)

Abstract

This dataset presents sedimentary radium isotope activities around Guaymas Basin.

Cite Dataset
Spatial Extent: N:27.51 E:-111.38 S:27.01 W:-111.68
Temporal Extent: 2016-12-12 - 2016-12-21

This dataset presents sedimentary radium isotope activities around Guaymas Basin.

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Related Publications

Methods
Cai, P., Shi, X., Moore, W. S., & Dai, M. (2012). Measurement of 224Ra:228Th disequilibrium in coastal sediments using a delayed coincidence counter. Marine Chemistry, 138-139, 1–6. doi:10.1016/j.marchem.2012.05.004
Methods
Cai, P., Shi, X., Moore, W. S., Peng, S., Wang, G., & Dai, M. (2014). 224Ra:228Th disequilibrium in coastal sediments: Implications for solute transfer across the sediment–water interface. Geochimica et Cosmochimica Acta, 125, 68–84. doi:10.1016/j.gca.2013.09.029
Methods
Moore, W. S., & Arnold, R. (1996). Measurement of 223Ra and224Ra in coastal waters using a delayed coincidence counter. Journal of Geophysical Research: Oceans, 101(C1), 1321–1329. doi:10.1029/95jc03139

Peterson, R. (2019) Sedimentary radium isotope activity around Guaymas Basin from samples collected by HOV Alvin during R/V Atlantis cruise AT37-06 in December 2016. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2019-11-25 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.782858.1 [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