Contributors | Affiliation | Role |
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Saito, Mak A. | Woods Hole Oceanographic Institution (WHOI) | Principal Investigator |
Breier, John | University of Texas Rio Grande Valley | Co-Principal Investigator |
Jakuba, Michael | Woods Hole Oceanographic Institution (WHOI) | Co-Principal Investigator |
Dalpe, Allisa | Woods Hole Oceanographic Institution (WHOI) | Scientist |
Moore, Natalia | University of Texas Rio Grande Valley | Scientist |
Soenen, Karen | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
The AT50-10 cruise contains Clio dives 031-050. Onboard samplers include: “TIGERCLAW” SUPR sampler and “BUSHBABY” SUPR sampler.
The mean and standard deviation are given for each sensor parameter during the period in which a particular SUPR sample was taken (calculated over a specific valve's pumping time).
* Combined all summary files into one.
File |
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928720_v1_clio_sampler_processed.csv (Comma Separated Values (.csv), 66.67 KB) MD5:ece392f6827d0eb51ab9b1d2bfc20861 Primary data file for dataset ID 928720, version 1 |
Parameter | Description | Units |
CRUISE_ID | cruise name | unitless |
DIVE_ID | clio dive number, sequential | unitless |
UID | Unique identifier of format dive#_SUPRsamplername_SUPRvalve# (TC = Tigerclaw; BB = Bushbaby) | unitless |
SUBMERGE_TIME_UTC | Time of last Iridium update before submerging | unitless |
SUBMERGE_LAT | Latitude of last Iridium update before submerging | decimal degrees |
SUBMERGE_LON | Longitude of last Iridium update before submerging | decimal degrees |
Tracer | ? | unitless |
Valve | valve number sample was pumped on | unitless |
MeanCTDTemp | mean temperature measured during sample | celsius |
StdCTDTemp | standard deviation of the temperature measured during sample | celsius |
MeanCTDSal | mean salinity measured during sample | psu |
StdCTDSal | standard deviation of the salinity measured during sample | psu |
MeanCTDPressure | mean pressure measured during sample | decibar |
StdCTDPressure | standard deviation measured during sample | decibar |
MeanCTDConductivity | mean conductivity measured during sample | Siemens / meter |
StdCTDConductivity | standard deviation of the conductivity measured during sample | Siemens / meter |
MeanO2conc | mean oxygen concentration measured during sample | micromolar, uM |
StdO2 | standard deviation of the oxygen concentration measured during sample | micromolar, uM |
MeanChl | mean chlorophyll concentration measured during sample | micrograms per deciliter |
StdChl | standard deviation of the chlorophyll concentration measured during the sample | micrograms per deciliter |
MeanTurb | mean turbidity measured during sample | Nephelometric Turbidity unit |
StdTurb | standard deviation of the turbidity measured during sample | Nephelometric Turbidity unit |
MeanTransAtten | mean calculated beam attenuation coefficient | m^-1 |
StdTransAtten | standard deviation of the calculated beam attenuation coefficient | m^-1 |
MeanNitrate | mean nitrate concentration | micromolar, uM |
StdNitrate | standard deviation concentration | micromolar, 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/ |
Website | |
Platform | R/V Atlantis |
Report | |
Start Date | 2023-05-02 |
End Date | 2023-06-09 |
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.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |