Summary of Study ST002788

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench,, where it has been assigned Project ID PR001738. The data can be accessed directly via it's Project DOI: 10.21228/M82719 This work is supported by NIH grant, U2C- DK119886.


This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST002788
Study TitleMetabolomic analysis of particulate matter in the NPSG during a 2018 cruise on the R/V Falkor
Study SummaryTargeted and untargeted analysis of metabolomics samples from the North Pacific Subtropical Gyre taken during the 2018 March/April SCOPE cruise on the R/V Falkor (FK180310) across a mesoscale eddy dipole. Particulate matter was collected on 0.2um filters and extracted using a modified Bligh & Dyer before analysis on a QE Orbitrap. Results show significant changes in the absolute quantity and relative composition of particles in the gyre between anticyclonic and cyclonic eddies.
University of Washington
DepartmentSchool of Oceanography
LaboratoryIngalls Lab
Last NameKumler
First NameWilliam
Address1501 NE Boat St, Seattle, WA 98105
Submit Date2023-07-17
Raw Data AvailableYes
Raw Data File Type(s)mzML
Analysis Type DetailLC-MS
Release Date2023-08-10
Release Version1
William Kumler William Kumler application/zip

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Project ID:PR001738
Project DOI:doi: 10.21228/M82719
Project Title:The influence of mesoscale eddy features on marine metabolomic variability in the North Pacific Subtropical Gyre
Project Type:Marine Metabolomics
Project Summary:Mesoscale eddies are a dominant source of variability in the ocean's gyres, often analogized to the "weather" of the sea. They alter the balance between light and nutrients, shifting community composition on both the species and molecular scale. Here, we collected metabolomic samples from across eddy dipoles in the North Pacific Subtropical Gyre to detect and quantify these shifts on a chemical level. The data indicate that metabolites dynamically and robustly track with biological community metrics and result in biochemically distinct particulate matter in cyclonic and anticyclonic eddies.
Institute:University of Washington
Department:School of Oceanography
Laboratory:Ingalls Lab
Last Name:Kumler
First Name:William
Address:1501 NE Boat St, Seattle, WA, 98105, USA
Funding Source:Simons Collaboration on Ocean Processes and Ecology, NSF