Raw Sensor files from AUV Clio taken on R/V Atlantis (CliOMZ AT50-10 expedition) from Golfito Costa Rica to San Diego USA in May-June 2023.

Website: https://www.bco-dmo.org/dataset/925614
Data Type: Cruise Results
Version: 1
Version Date: 2024-09-09

Project
» Collaborative Research: Underexplored Connections between Nitrogen and Trace Metal Cycling in Oxygen Minimum Zones Mediated by Metalloenzyme Inventories (CliOMZ)
ContributorsAffiliationRole
Saito, Mak A.Woods Hole Oceanographic Institution (WHOI)Principal Investigator
Breier, JohnUniversity of Texas Rio Grande ValleyCo-Principal Investigator
Jakuba, MichaelWoods Hole Oceanographic Institution (WHOI)Co-Principal Investigator, Contact
Dalpe, AllisaWoods Hole Oceanographic Institution (WHOI)Scientist
Moore, NataliaUniversity of Texas Rio Grande ValleyScientist
Soenen, KarenWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
This dataset contains raw profiling sensor data generated by the Autonomous Underwater Vehicle (AUV) Clio during the CliOMZ AT50-10 expedition. Each dive has csv and mat files associated with the logged output from each sensor. The data is provided at the native rate provided by each sensor.


Coverage

Spatial Extent: N:25.094033 E:-88.964731 S:-10.052473 W:-118.11032
Temporal Extent: 2023-05-04 - 2023-06-06

Methods & Sampling

Data is logged onboard the vehicle as Lightweight Communications and Marshalling (LCM) format. For ease of distribution, raw data from the onboard sensors was converted from LCM to Matlab (.mat) files, the .mat files are included in the files section. This raw data was also converted to .csv format and included in the data package (see data section).

Oboard sensors include: CTD (SBE 49 FastCAT CTD), fluorometer (Wetlabs Fluorometer FLNTURTD-3151), optode (AANDERAA Oxygen Optode 4831), SUNA nitrate sensor (SUNA V2 - Submersible Ultraviolet Nitrate Analyzer) and transmissometer (SEA-BIRD SCIENTIFIC C-Star Transmissometer). 

Each dive has an associated "firstProfile.csv" which includes processed data from the first descent to maximum depth for a particular dive (dataset 928684, see related datasets). This profile data contains all sensors interpolated onto the same time base.  Each SUPR sampler has an associated summary csv which includes average sensor data values calculated over a specific valve's pumping time. (dataset 928720, see related datasets). 

 


Data Processing Description

Each dive has csv and mat files associated with the logged output from each sensor. The data is provided at the native rate provided by each sensor, see data section. 

 


BCO-DMO Processing Description

* Added matlab, csv and parameter description as supplemental data to this landing page.


Problem Description

* Clio031: No data due to ballast issues
* Clio032: BUSHBABY was inadvertently programmed with an incorrect port number for the last sample. The port number should have been 4. Optode failed to record data below 400 m
* Clio033: Incubation chamber bags did not fill
* Clio036: BUSHBABY started pumping too early on port 8 & 9
* Clio041: Vehicle surface an hour early due to a missed sample at 140 m.

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Data Files

File
AT50-10_clio031-clio050_RawData_CSVFormat
filename: sensor_data.zip
(ZIP Archive (ZIP), 420.68 MB)
MD5:fd54d1d5ce23565d0c32a486802f243b
Converted raw data files of CLIO data taken during AT50-10 in csv format. Data ordered in folders by CLIO dive: clio031 - clio050. Each folder contains ctd, fluo, opt, trans and suna files.

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Supplemental Files

File
AT50-10_clio031-clio050_RawData_MatFormat
filename: mat.zip
(ZIP Archive (ZIP), 2.60 GB)
MD5:425a8e6edaf6f9045fcb98e6f01c6ad6
Raw data files of CLIO data taken during AT50-10 in matlab format. Data ordered in folders by CLIO dive: clio031 - clio050. Each folder contains css, ctd, elm, flui, opt, prm, profile_chl, pump_windows_bb, pump_windows_tc and trans data.
flntud_calibration_sn3151.pdf
filename: supplementary_files/sensor_calibration/flntud_calibration_sn3151.pdf
(Portable Document Format (.pdf), 49.71 KB)
MD5:7b6850225399db21df0a6a112775eb7e
Sensor calibration sheet
sensors_parameters.xlsx
(Microsoft Excel, 13.60 KB)
MD5:7d27c365432f8c02e7ed05d81552441e
Description of parameters in the raw files.

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Related Publications

Jakuba, M. V., & Dalpe, A. J. (2024). Clio Operations Report for the AT50-10 Saito Cruise. Woods Hole Oceanographic Institution. https://doi.org/10.1575/1912/69648
Results

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Related Datasets

IsSourceOf
Saito, M. A., Dalpe, A., Jakuba, M., Breier, J., Moore, N. (2024) Processed first profiles of sensor data from AUV Clio taken on R/V Atlantis (CliOMZ AT50-10 expedition) from Golfito Costa Rica to San Diego USA in May-June 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-09-09 doi:10.26008/1912/bco-dmo.928684.1 [view at BCO-DMO]
Relationship Description: Raw log and vehicle sensor data.
IsRelatedTo
Saito, M. A., Dalpe, A., Jakuba, M., Breier, J., Moore, N. (2024) Log file from AUV Clio taken on R/V Atlantis (CliOMZ AT50-10 expedition) from Golfito Costa Rica to San Diego USA in May-June 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-09-09 doi:10.26008/1912/bco-dmo.929764.1 [view at BCO-DMO]
Relationship Description: Dive log, containing location and dates for each dive.
Saito, M. A., Dalpe, A., Jakuba, M., Breier, J., Moore, N. (2024) Summaries of tigerclaw and bushbaby tracers from AUV Clio taken on R/V Atlantis (CliOMZ AT50-10 expedition) from Golfito Costa Rica to San Diego USA in May-June 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-09-09 doi:10.26008/1912/bco-dmo.928720.1 [view at BCO-DMO]

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Parameters

Parameters for this dataset have not yet been identified


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Instruments

Dataset-specific Instrument Name
AANDERAA Oxygen Optode 4831
Generic Instrument Name
Aanderaa 4831 oxygen optode
Generic Instrument Description
A dissolved oxygen sensor which provides analogue (0-5V) and digital output (RS-232) to third party data loggers, gliders and floats. Measurement based on the ability of selected substances to act as dynamic fluorescence quenchers. The fluorescent indicator is a special platinum porphyrin complex embedded in a gas permeable foil that is exposed to the surrounding water. In this standard model, a black optical isolation coating protects the complex from sunlight and fluorescent particles in the water. This sensing foil is attached to a window providing optical access for the measuring system from inside a watertight housing. The foil is excited by modulated blue light, and the phase of a returned red light is measured. For improved stability the 4831 optode also performs areference phase reading by use of a red LED that does not produce fluorescence in the foil. This model is fitted with a standard sensing foil. By linearizing and temperature compensating, with an incorporated temperature sensor, the absolute O2 concentration can be determined. Accuracy +/- 1.5% or 2uM; precision +/- 0.2 uM.

Dataset-specific Instrument Name
Generic Instrument Name
AUV Clio
Generic Instrument Description
Clio is an autonomous underwater vehicle (AUV) created to accomplish the dual goals of global ocean mapping and biochemistry sampling. The ability to sample dissolved and particulate seawater biochemistry across ocean basins while capturing fine-scale biogeochemical processes sets it apart from other AUVs. Clio is designed to efficiently and precisely move vertically through the ocean, drift laterally to observe water masses, and integrate with research vessel operations to map large horizontal scales up to a depth of 6,000 meters. More information is available at https://www2.whoi.edu/site/deepsubmergencelab/clio/

Dataset-specific Instrument Name
SUNA V2 - Submersible Ultraviolet Nitrate Analyzer
Generic Instrument Name
Satlantic Submersible Ultraviolet Nitrate Analyser V2
Generic Instrument Description
The SUNA V2 UV nitrate sensor monitors nutrient concentrations in real-time. This sensor measures nitrate over a wide range of environmental conditions, from blue-ocean nitraclines to storm runoff in rivers and streams. Applications include: Long-term nutrient monitoring, Coastal water profiling, Water quality monitoring, and pollution detection. Full UV spectrum range for maximum accuracy. Real-time nitrate calculation with real-time temperature/salinity compensation. The SUNA V2 incorporates the proven MBARI-ISUS nitrate measurement technology, which is based on the absorption characteristics of nitrate in the UV light spectrum. It has the option of 10 or 5 mm pathlength, a wavelength rage of 190 - 370 nm, and a depth rating of 500 m.

Dataset-specific Instrument Name
SBE 49 FastCAT CTD
Generic Instrument Name
Sea-Bird SBE 49 FastCAT CTD Sensor
Generic Instrument Description
The SBE 49 FastCAT is a CTD sensor for use in autonomous platforms. It contains a SBE 3P temperature sensor, a SBE 4C conductivity sensor and a strain-gauge pressure sensor as standard. It can operate in autonomus (16 Hz per sec) or polled mode (transmits each sample). The sensor is depth-rated to 350 m (plastic housing) or 7000 m (titanium housing). Accuracy: +/- 0.002 deg C (temperature), +/- 0.0003 S/m (conductivity), 0.1% of full scale range (pressure).

Dataset-specific Instrument Name
SEA-BIRD SCIENTIFIC C-Star Transmissometer
Generic Instrument Name
WET Labs {Sea-Bird WETLabs} C-Star transmissometer
Generic Instrument Description
The C-Star transmissometer has a novel monolithic housing with a highly intgrated opto-electronic design to provide a low cost, compact solution for underwater measurements of beam transmittance. The C-Star is capable of free space measurements or flow-through sampling when used with a pump and optical flow tubes. The sensor can be used in profiling, moored, or underway applications. Available with a 6000 m depth rating. More information on Sea-Bird website: https://www.seabird.com/c-star-transmissometer/product?id=60762467717

Dataset-specific Instrument Name
Wetlabs Fluorometer FLNTURTD-3151
Generic Instrument Name
WetLabs FLNTU
Generic Instrument Description
The WetLabs ECO FLNTU is a dual-wavelength, single-angle sensor for simultaneously determining both chlorophyll fluorescence and turbidity. It detects light scattered by particles suspended in water, generating an output voltage proportional to turbidity or suspended solids. Scaling factors are used to convert the voltage readings to values representing chlorophyll concentration and turbidity expressed in Nephelometric Turbidity Units (NTUs).


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Deployments

AT50-10

Website
Platform
R/V Atlantis
Report
Start Date
2023-05-02
End Date
2023-06-09


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Project Information

Collaborative Research: Underexplored Connections between Nitrogen and Trace Metal Cycling in Oxygen Minimum Zones Mediated by Metalloenzyme Inventories (CliOMZ)

Coverage: Eastern Tropical Pacific


NSF abstract:
Though scarce and largely insoluble, trace metals are key components of sophisticated enzymes (protein molecules that speed up biochemical reactions) involved in biogeochemical cycles in the dark ocean (below 1000m). For example, metalloenzymes are involved in nearly every reaction in the nitrogen cycle. Yet, despite direct connections between trace metal and nitrogen cycles, the relationship between trace metal distributions and biological nitrogen cycling processes in the dark ocean have rarely been explored, likely due to the technical challenges associated with their study. Availability of the autonomous underwater vehicle (AUV) Clio, a sampling platform capable of collecting high-resolution vertical profile samples for biochemical and microbial measurements by large volume filtration of microbial particulate material, has overcome this challenge. Thus, this research project plans an interdisciplinary chemistry, biology, and engineering effort to test the hypothesis that certain chemical reactions, such as nitrite oxidation, could become limited by metal availability within the upper mesopelagic and that trace metal demands for nitrite-oxidizing bacteria may be increased under low oxygen conditions. Broader impacts of this study include the continued development and application of the Clio Biogeochemical AUV as a community resource by developing and testing its high-resolution and adaptive sampling capabilities. In addition, metaproteomic data will be deposited into the recently launched Ocean Protein Portal to allow oceanographers and the metals in biology community to examine the distribution of proteins and metalloenzymes in the ocean. Undergraduate students will be supported by this project at all three institutions, with an effort to recruit minority students. The proposed research will also be synergistic with the goals of early community-building efforts for a potential global scale microbial biogeochemistry program modeled after the success of the GEOTRACES program, provisionally called "Biogeoscapes: Ocean metabolism and nutrient cycles on a changing planet".

The proposed research project will test the following three hypotheses: (1) the microbial metalloenzyme distribution of the mesopelagic is spatially dynamic in response to environmental gradients in oxygen and trace metals, (2) nitrite oxidation in the Eastern Tropical Pacific Ocean can be limited by iron availability in the upper mesopelagic through an inability to complete biosynthesis of the microbial protein nitrite oxidoreductase, and (3) nitrite-oxidizing bacteria increase their metalloenzyme requirements at low oxygen, impacting the distribution of both dissolved and particulate metals within oxygen minimum zones. One of the challenges to characterizing the biogeochemistry of the mesopelagic ocean is an inability to effectively sample it. As a sampling platform, we will use the novel biogeochemical AUV Clio that enables high-resolution vertical profile samples for biochemical and microbial measurements by large volume filtration of microbial particulate material on a research expedition in the Eastern Tropical Pacific Ocean. Specific research activities will be orchestrated to test the hypotheses. Hypothesis 1 will be explored by comparison of hydrographic, microbial distributions, dissolved and particulate metal data, and metaproteomic results with profile samples collected by Clio. Hypothesis 2 will be tested by incubation experiments using 15NO2- oxidation rates on Clio-collected incubation samples. Hypothesis 3 will be tested by dividing targeted nitrite oxidoreductase protein copies by qPCR (quantitative polymerase chain reaction)-based nitrite oxidizing bacteria abundance (NOB) to determine if cellular copy number varies with oxygen distributions, and by metalloproteomic analyses of NOB cultures. The demonstration of trace metal limitation of remineralization processes, not just primary production, would transform our understanding of the role of metals in biogeochemical cycling and provide new ways with which to interpret sectional data of dissolved and particulate trace metal distributions in the ocean. The idea that oxygen may play a previously underappreciated role in controlling trace metals due not just to metals' physical chemistry, but also from changing biological demand, will improve our ability to predict trace metal distributions in the face of decreasing ocean oxygen content.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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