Table of Contents

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

See the "Related Datasets" section on this page for the ELOG from cruise AE1913 and other closely related data.
* Also see all datasets related to the same cruise AE1913: https://www.bco-dmo.org/deployment/916412

The RV Atlantic Explorer CTD was deployed at each station along the BATS to WHOI transect by the crew (see supplemental station list and R2R ELOG). Continuous measurements were collected on these casts. Complementary underway data and other processed products from this cruise on R2R (AE1913, doi: 10.7284/908544).

SeaBird software was used to process raw CTD files and convert to .cnv. (Seasave V 7.26.7.107)

Version 1:

* Processed (depth binned) data tables provided within in seabird files (.cnv) were imported into the BCO-DMO data system with the missing value identifier specified in the seabird header information "-9.990e-29" as the missing data identifier. This table is the primary bco-dmo table for this dataset. The source .cnv files were downloaded from a shared google drive on 20231229T170156Z.
* PAR column removed upon submitter request due to sensor failure during cruise.
* The timestamp for each cast was extracted from the standard seabird header within each file and added into data column "NMEA_DateTime_UTC" and converted Example:
line: "* NMEA UTC (Time) = Jun 27 2019 03:02:35"
included as NMEA_DateTime_UTC "2019-06-27T03:02:35Z"

* The raw seabird files and processed .cnv file format were also added to the supplemental files section within .zip packages.

* Column names adjusted to conform to BCO-DMO naming conventions designed to support broad re-use by a variety of research tools and scripting languages. [Only numbers, letters, and underscores.  Can not start with a number]

* Primary data table that was concentrated and cleaned as describe above output as Data File: "916411_v1_ctd.csv"

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Version 2: Dataset revised to remove two out of bounds longitude values in cast BV55C17 ("-43.19503" and "35.74961"). Rows were kept, and the two longitudes replaced with a missing data identifier.

* Primary data table output as Data File: "916411_v2_ctd.csv"

NSF Award Abstract:
Microscopic communities in the ocean can be surprisingly diverse. This diversity makes it difficult to study the individual organisms and reactions that control specific reactions controlling nutrient cycles. Past studies confirm that iron and nitrogen are vital elements for biological growth. There is increasing evidence, however, that other chemicals such as silica, zinc, cobalt, and vitamin B12 may be just as important. This project will provide an unprecedented view of community distributions using new molecular methods to isolate and link active proteins to specific chemical cycles during the very first research deployment of a brand-new autonomous underwater vehicle (AUV). The AUV will collect samples in programed patterns by pumping water directly into its filtering mechanism and then return the samples to the ship for analysis. The Bermuda Atlantic Time-series Study (BATS) station, which provides abundant supporting data, is the site for this innovative investigation into the microbial ecology and chemistry of the open oceans. Additionally, data will be widely distributed to other scientists through the Ocean Protein Portal website being developed by the Woods Hole Oceanographic Institute (WHOI) and the Biological and Chemical Oceanography Data Management Office. Data will also contribute a new teaching module in the Marine Bioinorganic Chemistry course at WHOI.

This first scientific deployment of the newly engineered and constructed biogeochemical AUV, Clio, will generate a novel dataset to examine marine microbial biogeochemical cycles in the Northwestern Atlantic oligotrophic ocean in unprecedented detail and at high vertical resolution. First the project proposes to understand if the microbial community reflects the varying chemical composition and cyanobacterial species through nutrient response adaptations. Additionally, the research will determine if iron stress in the low light Prochlorococcus ecotyope found in the deep chlorophyll maximum is a persistent feature influenced by seasonal dust fluxes. The highly resolved vertical data from the in situ pumping capabilities of Clio are fundamental to a rigorous examination of these biogeochemical questions. This highly transformative dataset will greatly advance understanding of the nutrient and trace element cycling of this region and will be the first field validation of the potentially revolutionary capability these new approaches represent for the study of marine microbial biogeochemistry.