CTD Depth Profile Cast Data for the InVirT-2019-BATS (Bermuda Atlantic Time Series) project taken in the on board of the R/V Atlantic Explorer AE1926 in 2019.

Website: https://www.bco-dmo.org/dataset/835593
Data Type: Cruise Results
Version: 1
Version Date: 2021-08-23

Project
» Collaborative Research: Inferring Cellular Lysis and Regeneration of Organic Matter by Marine Viruses (InVirT)
ContributorsAffiliationRole
Wilhelm, Steven W.University of Tennessee Knoxville (UTK)Principal Investigator, Contact
LeCleir, GaryUniversity of TennesseeScientist
Sullivan, MatthewOhio State UniversityScientist
Weitz, JoshuaGeorgia Institute of Technology (GA Tech)Scientist
Soenen, KarenWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
CTD Depth Profile Cast Data for the InVirT-2019-BATS (Bermuda Atlantic Time Series) project taken in the on board of the R/V Atlantic Explorer AE1926 in 2019.


Coverage

Spatial Extent: N:31.827679 E:0.4904 S:0.0147 W:-64.38645
Temporal Extent: 2019-10-12 - 2019-10-17

Acquisition Description

CTD casts were performed using the ships CTD rosette every 4 hours to survey the water column down to a depth of 500 meters. 

The CTD used for this study had redundant/ replicate sensors for measuring many of the parameters.

 


Processing Description

The data is converted from its raw form using the “convert” program in the SBEDataProcessing software. The data then got binned based on depth with a bin size of 1 using the “Bin Average” program within the same software suite. BCO-DMO processing notes: * Did not serve cast InVirTC1 (test cast) * Removed PAR and SPAR columns due to uncertain values * Renamed fields to comply with database requirements * Joined CTD files with dates


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Parameters

ParameterDescriptionUnits
Cast_IDID of the CTD cast unitless
ISO_DateTime_UTCStart time of CTD cast  in ISO format (yyyy-mm-ddThh-dd-tt) in UTC timezone. unitless
CStarTr0Beam Transmission percentage (%)
Conductivity_0Conductivity siemens per meters (S/m)
Conductivity_1Conductivity siemens per meters (S/m)
Density_1Density kilograms per cubic meters (kg/m^3)
Density_2Density kilograms per cubic meters (kg/m^3)
DepthDepth meters (m)
Descent_RateDescent Rate meters per seconds (m/s)
Fluoresence_1Fluoresence, Chelsea Aqua 3 Chl Con micrograms per liters (ug/l)
Fluoresence_2Fluorescence, WET Labs ECO-AFL/FL miligrams per cubic meters (mg/m^3)
LatitudeLatitude, south is negative decimal degrees
LongitudeLongitude, west is negative decimal degrees
Oxygen_Raw_1Raw oxygen Volts (V)
Oxygen_Raw_2Raw oxygen, 2 Volts (V)
Oxygen_1Oxygen milligrams per liters (mg/l)
Oxygen_2Oxygen, 2 milligrams per liters (mg/l)
PressurePressure dB
Salinity_1Practical salinity PSU
Salinity_2Practical salinity PSU
Temperature_ITS_1Water temperature degrees Celsius (°C), International Temperature Scale - 1990
Temperature_IPTS_1Water temperature degrees Celsius (°C)
Temperature_ITS_2Water temperature degrees Celsius (°C), International Temperature Scale - 1990
Temperature_IPTS_2Water temperature degrees Celsius (°C)
CStarAt0Beam Transmission percentage (%)


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Instruments

Dataset-specific Instrument Name
Seabird SBE 9plus
Generic Instrument Name
CTD Sea-Bird
Dataset-specific Description
Seabird SBE 9plus
Generic Instrument Description
Conductivity, Temperature, Depth (CTD) sensor package from SeaBird Electronics, no specific unit identified. This instrument designation is used when specific make and model are not known. See also other SeaBird instruments listed under CTD. More information from Sea-Bird Electronics.

Dataset-specific Instrument Name
SPAR
Generic Instrument Name
LI-COR Biospherical PAR Sensor
Dataset-specific Description
Surface PAR sensor. The SPAR sensor is typically mounted on the ship and does not submerge with the CTD.
Generic Instrument Description
The LI-COR Biospherical PAR Sensor is used to measure Photosynthetically Available Radiation (PAR) in the water column. This instrument designation is used when specific make and model are not known.


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Deployments

AE1926

Website
Platform
R/V Atlantic Explorer
Start Date
2019-10-12
End Date
2019-10-17
Description
More cruise information is available from Rolling Deck to Repository (R2R): * https://www.rvdata.us/search/cruise/AE1926 * https://doi.org/10.7284/908733


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Project Information

Collaborative Research: Inferring Cellular Lysis and Regeneration of Organic Matter by Marine Viruses (InVirT)

Coverage: Bermuda Atlantic Time Series


NSF Award Abstract:
Viral infections of marine microbes can transform the fate of microbial populations that fuel global ocean biogeochemical cycles. For example, viral infections of microbes lead to the release of carbon and nutrients back into the environment. This regeneration of carbon and nutrients stimulates the activity of other microbes and diverts carbon and nutrients from larger organisms in marine food webs. Because virus-microbe infections are relatively specific, it is critical to identify those pairs of viruses and microbes that may disproportionally contribute to the turnover of carbon and nutrients in the ocean. This project will develop quantitative approaches and tools to quantify which viruses infect which microbes and to use these data to quantify how viral infections of microbes collectively shape nutrient and carbon cycles in the North Atlantic Ocean. The project will analyze virus-microbe interactions in mesocosms at the Bigelow Laboratory for Ocean Sciences in mid-coast Maine and during open ocean expeditions to the Bermuda Atlantic Time-Series Study (BATS) site. An interdisciplinary team will leverage recent advances in molecular biology, computational biology, and mathematical modeling to identify virus-host partners and their impact on the movement of elements through marine systems. This project will support three graduate students, six undergraduate students and one postdoctoral researcher in an interdisciplinary context. Research advances will be translated into reproducible software methods to be disseminated via the community cyberinfrastructure platform iVirus, with additional training materials presented as part of a viral methods and informatics workshop held at The Ohio State University. The translation of discoveries to the public will be furthered by the involvement of journalism undergraduate students at the University of Tennessee-Knoxville.

This project builds upon advances in the molecular toolkit of viromics to develop an integrated approach to characterize lineage-specific rates of infection, lysis, and nutrient release induced by marine viruses in open ocean ecosystems. It will combine theory, in vitro experiments, and in situ sampling to (i) extend a robust inference method for estimating virus-microbe cross-infection networks from time-series data; (ii) establish and characterize in-vitro protocols for inferring cross-infectivity in complex communities using culture-independent methods; (iii) estimate lineage-specific rates of lysis and regeneration of nutrients in marine systems, including applications to coastal and open ocean ecosystems. Project aims focus on quantifying the extent to which virus-induced lysis and regeneration of carbon and nutrients is heterogeneously distributed across microbial populations. To do so, the project will incorporate time series measurements of abundance information (via metagenomes) and activity information (via metatranscriptomes). In so doing, it will advance efforts to understand community-scale interactions rather than those amongst a single virus-host pair. Theoretical methods and in vitro protocols will directly infer lineage-specific infection, lysis, and nutrient release rates in coastal- and open-ocean ecosystems in the North Atlantic Ocean. Results will be used to identify key links that disproportionately influence bulk nutrient release. A novel PCR-based approach will augment and validate the core inference approach. Overall, the project aims to enhance our understanding of how viruses contribute to marine ecosystem function.

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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