Dataset: GP09 dissolved trace elements
Data Citation:
Shiller, A. M., Gilbert, M. (2024) Dissolved trace elements in profiles and surface waters collected during the Chinese GEOTRACES cruise (GP09) in the tropical northwest Pacific Ocean from April to June 2019. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-07-10 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.931959.1 [access date]
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This dataset is licensed under Creative Commons Attribution 4.0.
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DOI:10.26008/1912/bco-dmo.931959.1
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Spatial Extent: N:23.59 E:155 S:10.994 W:118.414
Tropical Northwest Pacific Ocean
Temporal Extent: 2019-04-28 - 2019-06-09
Project:
Dissolved trace elements in the tropical Northwest Pacific Ocean
(Trace elements in NW Pacific)
Principal Investigator:
Alan M. Shiller (University of Southern Mississippi, USM)
Scientist:
Melissa Gilbert (University of Southern Mississippi, USM)
BCO-DMO Data Manager:
Shannon Rauch (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
Version:
1
Version Date:
2024-07-10
Restricted:
No
Validated:
Yes
Current State:
Final no updates expected
Dissolved trace elements in profiles and surface waters collected during the Chinese GEOTRACES cruise (GP09) in the tropical northwest Pacific Ocean from April to June 2019
Abstract:
This is a study of dissolved trace elements in profiles and surface waters collected during the Spring 2019 Chinese GEOTRACES cruise (GP09) in the tropical northwest Pacific Ocean. GP09 afforded the opportunity to obtain trace element clean water samples (provided by the cruise organizers) from a region that is geologically complex as well as being a meeting place for various ocean currents and water masses. GP09 sampled the southwest corner of the North Pacific subtropical gyre, one of the largest oligotropic ocean regions and arguably the largest continuous ecosystem on Earth. Yet this region has been poorly studied for trace element distributions. We determined dissolved trace element concentrations by using established high-resolution ICP-MS methods.