©2026 Biological and Chemical Oceanography Data Management Office.Funded by the U.S. National Science Foundation
©2026 Biological and Chemical Oceanography Data Management Office.This dataset contains the analytical results from 126 samples collected from the complex hydrothermal plume system overlying, and dispersing away from, the Endeavour segment of the Juan de Fuca Ridge. The samples were collected in August and September 2023 aboard R/V Atlantis cruise AT50-15 and analyzed at WHOI in the isotope geochemistry facility. The samples were collected, primarily, to trace dilution within a hydrothermal plume whose physical dispersion was predicted from theoretical modelli...
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Samples were collected in August and September 2023 aboard R/V Atlantis cruise AT50-15 by Mary Burkitt-Gray (WHOI) and Victoria Preston (Northeastern University) and analyzed at WHOI in the isotope geochemistry facility under the supervision of Bill Jenkins. The samples were collected, primarily, to trace dilution within a hydrothermal plume whose physical dispersion was predicted from theoretical modelling and traced by the AUV Sentry. Multiple tracers were sampled for, from both the Sentry AUV and from vertical casts of the Texas A&M's (Fitzsimmons laboratory) trace metal clean CTD-rosette, with noble gas samples collected from the CTD-rosette only because of sample volume requirements.
Samples drawn directly from Go-Flo bottles taken from Fitzsimmons Group (Texas A&M) into copper (Cu) tubes and cold-welded in duplicate from each bottle from each CTD cast.
For details on analytical methods, see Jenkins et al. (2019).
German, C. R., Jenkins, W. J. (2026). Noble gas concentrations and saturation anomalies from water samples collected on R/V Atlantis cruise AT50-15 in the Juan de Fuca Ridge from August to September 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-01-23 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/986923 [access date]
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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.