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, Contact |
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 |
Dive log for Clio dives 031-050. In depth operation summary for each dive can be found in the Clio Operations Report (see related publications).
* Removed headers that were diving up the dive plan file
* Remove total volume calculation at bottom of dive plan file
* Converted dates to ISO format
* Converted lat/lon to decimal degrees
* Removed empty fields from diveplan [DATE TIME RECOVERY] - redundant
File |
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929764_v1_clio_log.csv (Comma Separated Values (.csv), 107.75 KB) MD5:b00aae3868ab2fdabb6da3434630bbac Primary data file for dataset ID 929764, version 1 |
Parameter | Description | Units |
CRUISE_ID | Cruise name | unitless |
PROGRAM_ID | Program name | unitless |
CLIO_DIVE_ID | Clio dive number, sequential | unitless |
UID | Unique identifier of format dive#_SUPRsamplername_SUPRvalve# (TC = Tigerclaw; BB = Bushbaby) | unitless |
STATION | Cruise station number | unitless |
DEPTH_STATION_TYPE | Adaptive or non-adaptive sampling | unitless |
DEPTH_STATION_ORDER | The order in which samples were collected | unitless |
DEPTH_STATION_PARAMETERS | The depth at which the vehicle was commanded to sample. Note for adaptive samples, this was the initialized depth, but may have been changed with the adaptive behavior. See actual depth column. | meters |
BAY | The payload bay number (1-4) on AUV Clio where the SUPR sampler that took the sample was installed | unitless |
SUPR_UNIT | Which Supr unit took the sample (BUSHBABY or TIGERCLAW) | unitless |
SUPR_VALVE | Which valve the sample was pumped on | unitless |
SUPR_FILTER_INCUBATOR | The filter number as installed in the SUPR sampler | unitless |
FILTERS | The type of filter installed | unitless |
STOP_CONDITION_TIME_VOL_RATE | What triggers sampling to stop: time, volume, or rate | minutes (time), liters (volume), liters per minute (rate) |
STOP_TIME | The duration at which the SUPR sampler is set to stop pumping (unit = minutes) when time is used as the stop criterion. | minutes |
STOP_VOLUME | The volume at which the SUPR sampler is set to stop pumping (unit = liters) when volume is used as the stop criterion. | liters |
STOP_RATE | The minimum flow rate below which the SUPR sampler is set to stop pumping (unit = liters per minute) when flow rate is used as the stop criterion. | liters per minute |
INCUBATOR_PURGE_TIME | The duration set for the incubator to perform its purge sequence | minute |
INCUBATOR_FILL_TIME | The duration set for the incubator to fill | minute |
SAMPLE_START_TIME_UTC | The time at which pumping started for the sample | UTC |
ACTUAL_DEPTH_m | The actual depth the sample was taken at. This value is the average depth over time time period spent sampling. | meters |
VOLUME_FILTERED_L | The amount of seawater pumped during the sample | liters |
TIME_SPENT_FILTERING_min | Actual time spent pumping (should match stop time) | minutes |
VEHICLE_COMMENT | Vehicle comment | 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 |
SURFACE_TIME_UTC | Time of first Iridium update after surfacing (note that Clio could be on surface for a significant amount of time due to other ship operations before recovery) | unitless |
SURFACE_LAT | Latitude of first Iridium update after surfacing (note that Clio could be on surface for a significant amount of time due to other ship operations before recovery) | decimal degrees |
SURFACE_LON | Longitude of first Iridium update after surfacing (note that Clio could be on surface for a significant amount of time due to other ship operations before recovery) | decimal degrees |
LAUNCH_TIME_UTC | Vehicle released from ship | unitless |
RECOVERY_TIME_UTC | Vehicle back on deck | unitless |
NOTES | Dive notes | unitless |
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) |