Table of Contents

• Coverage
• Dataset Description
  • Methods & Sampling
  • Data Processing Description
  • BCO-DMO Processing Description
  • Problem Description
• Supplemental Files
• Related Publications
• Parameters
• Instruments
• Deployments
• Project Information
• Program Information
• Funding

The cruise was funded by NSF Division of Environmental Biology DEB-1542240. The data was paid for by Horn Point Laboratory start up funds.

Samples were obtained from the Eastern Tropical North Pacific on three cruises. The R/V Sikuliaq cruise SKQ201617S sampled two stations in January 2017: St P2 (16.5ºN 107ºW) and St P1 (20.1 ºN 106.2ºW). The R/V Revelle cruise RR1805 sampled two stations in April 2018: St P2 (16.9ºN 107ºW) and St P1 (20.3 ºN 106.1ºW). The R/V Kilo Moana cruise KM1920 sampled two stations in October 2019: St P2 (16.9ºN 107ºW) and St P3 (21.8°N 109.9°W).

For depth profiles of bulk suspended particulate organic C and N analyses, 4 L or 10 L (for samples from >300 m) of water was obtained from 12 L Niskin bottles on a CTD rosette, using the spigot of the bottle. Exact volumes were recorded. Water was vacuum filtered onto pre-combusted (400°C), 25 mm diameter, GF/F filters and then frozen. Samples were wafted with HCl overnight to remove carbonate, dried at 40°C, packed into nested silver and tin capsules.

In 2017, samples from St P2 were sent to the University of Washington Isolab facility in the Department of Earth and Space Sciences (Seattle, WA) for C and N analysis utilizing an Costech elemental analyzer attached to an isotope ratio mass spectrometer (ThermoFinnegan MAT 253). After storage at -80°C, in 2024, samples from St P1 were sent to the UC Davis Stable Isotope Facility (Davis, CA) for C and N analysis utilizing an elemental analyzer (Elementar Vario EL Cube) attached to an isotope ratio mass spectrometer (Isoprim VisION).  In both cases, blank combusted GF/F filters were included in analyses and did not show measurable material.

Within a year from collection, samples from RR1805 and KM1920 were sent to the UC Davis Stable Isotope Facility (Davis, CA) for C and N analysis utilizing an elemental analyzer (Elementar Vario EL Cube) attached to an isotope ratio mass spectrometer (Isoprim VisION).

The data output from UC Davis was ug C and ug N, as well as the stable isotopes. Microsoft excel was used to convert ug to uM, using the volume of water filtered. 

Version 2:
* Updated metadata to reflect all cruises
* Combined data: 2017 ETNP particulate organic matter data (ETNP_2017_POM.xlsx) and the previously published 2018–2019 ETNP dataset (948637_v1_etnp-pom_2018-2019.csv). Both files used blank cells and "nd" to indicate missing values.
* Any positive longitude values were converted to negative to correctly represent west longitudes.
* All dates were standardized to ISO format (YYYY-MM-DD).
* All cruise identifiers were uppercased for consistency.
* The final merged table was saved as 948637_v2_fuchsman_isotopes.csv.

Version 1:
* Sheet 1 of submitted file "ETNP_2018_2019_POM.xlsx" was imported into the BCO-DMO data system for this dataset. Will appear as Data File: 948637_v1_etnp-pom_2018-2019.csv (along with other download format options).
** In the BCO-DMO data system missing data identifiers are displayed according to the format of data you access. For example, in csv files it will be blank (null) values. In Matlab .mat files it will be NaN values. When viewing data online at BCO-DMO, the missing value will be shown as blank (null) values.

* Completely blank rows removed within table.

* Date converted to ISO 8601 format

* Lat lon converted to decimal degrees (south and west are negative, degree symbols and directional NSEW removed)

* Supplemental reference tables were attached without format changes.

Extracted from the NSF award abstract:

Marine oxygen deficient zones (ODZs) are waters that are functionally devoid of oxygen. Without oxygen, some microbes are capable of converting nitrogen in the water into N2 gas, which then leaves the ocean and enters the atmosphere. This loss of an important nutrient from the ocean has impacts on phytoplankton growth and marine food webs. While oxygen deficient zones occupy a very small percentage of the ocean, they account for as much as half of the oceanic loss of N as N2. Moreover, the size of these regions is predicted to expand during this century due to climate change. The microbes that are capable of producing N2 gas are extremely diverse, and use several different biochemical pathways to carry out this process. They may occur both free-floating in the water and attached to small particles that are suspended or sinking from the surface waters and providing them a carbon source. However the importance of these two lifestyles (free-living vs particle attached) in terms of contributions to N loss from the oceans is not well understood. This project will identify the major organisms that result in N2 gas production on both suspended and sinking particles, the chemical reactions they carry out, and the rates at which this occurs. This information will be used to improve global climate models to better predict rates of N loss in a future ocean. Elementary and middle school teachers enrolled in a Masters in Science for Science Teachers program will be involved in the project and the graduate students and post-doctoral researchers supported by the project will have opportunities to participate in their classrooms. Underserved populations will also be integrated into the research at the undergraduate and middle school level through a series of summer internships.

ODZs have very complex elemental cycles, implying great microbial diversity. Intertwined with the microbial complexity of ODZ regions is the relatively unexplored interplay between free-living bacteria and those living on either suspended or sinking particles. Determining how these communities and niches interact and relate is one of the most challenging components of ODZ system studies today. Current climate models portray the dynamics of particles in the ODZs and throughout the deep ocean through prescribed functions based on sparse data from the oxic ocean with microbes represented only by the net chemical reactions of the community. However, in reality a phylogenetically and metabolically diverse group of microbes, likely acting in consortia, are responsible for the nitrogen transformations that ultimately result in the production of N2. To explore the processes maintaining the genetic diversity and functional redundancy in N loss processes, four research areas will be integrated: the community phylogenetic diversity (both taxonomic and genomic diversity) the genetic diversity of the proteins that carry out key N transformation processes (as seen through quantitative proteomics), the resulting biogeochemical functions (15N labeled nitrogen transformation rate measurements) and predictions about how this diversity and corresponding function may change in response to climate change (biogeochemical modeling). The approach will be to assay both phylogenetic (16S rRNA tag sequencing) and functional genetic diversity (genomics) on sinking particles collected using large-volume sediment traps. Phylogenetic and genomic studies will be intimately tied to measurements of activity - who is doing key biogeochemical transformations (proteomics) and what are the in situ rates at which they are doing them (using novel incubation systems). Data will then be used to model how diversity and corresponding function change on a range of time and space scales, from the sinking of a single particle to seasonal cycles. To understand the relationship of community diversity and function on suspended and sinking particles, a series of three cruises will be conducted in the Eastern Tropical North Pacific ODZ.

(adapted from the NSF Synopsis of Program)
Dimensions of Biodiversity is a program solicitation from the NSF Directorate for Biological Sciences. FY 2010 was year one of the program.  [MORE from NSF]

The NSF Dimensions of Biodiversity program seeks to characterize biodiversity on Earth by using integrative, innovative approaches to fill rapidly the most substantial gaps in our understanding. The program will take a broad view of biodiversity, and in its initial phase will focus on the integration of genetic, taxonomic, and functional dimensions of biodiversity. Project investigators are encouraged to integrate these three dimensions to understand the interactions and feedbacks among them. While this focus complements several core NSF programs, it differs by requiring that multiple dimensions of biodiversity be addressed simultaneously, to understand the roles of biodiversity in critical ecological and evolutionary processes.