Bottle data from R/V Atlantic Explorer cruise AE1910 during May 2019

Website: https://www.bco-dmo.org/dataset/774859
Data Type: Cruise Results
Version: 1
Version Date: 2019-08-29

Project
» Collaborative Research: Diel physiological rhythms in a tropical oceanic copepod (Zooplankton Diel Rhythm)
ContributorsAffiliationRole
Maas, AmyBermuda Institute of Ocean Sciences (BIOS)Principal Investigator
Blanco-Bercial, LeocadioBermuda Institute of Ocean Sciences (BIOS)Co-Principal Investigator
Tarrant, Ann M.Woods Hole Oceanographic Institution (WHOI)Co-Principal Investigator
Rauch, ShannonWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
Bottle data from R/V Atlantic Explorer cruise AE1910 during May 2019.


Coverage

Spatial Extent: N:32.571 E:-64.4947 S:32.1698 W:-64.7887
Temporal Extent: 2019-05-20 - 2019-05-23

Methods & Sampling

The CTD + 24 bottle sampling rosette was run using standard operating procedures. The bottles were fired on the up cast, 30 seconds after the unit was stopped.


Data Processing Description

Data were processed with provided config file (1377_27APR2019_McGreal.xmlcon). CTD data were binned by pressure and the bottle files extracted using SBEDataProcessing software.

BCO-DMO Processing:
- used awk script to re-format bottle files (moving avg and stdevs to columns);
- aggregated data from separate casts into one dataset;
- added lat and lon from file headers: NMEA Latitude, NMEA Longitude (converted to decimal degrees);
- added ISO date-time column.


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Data Files

File
AE1910_Bottles.csv
(Comma Separated Values (.csv), 43.59 KB)
MD5:c0124b5f84a4d631f6a227ab47ee00c8
Primary data file for dataset ID 774859

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Supplemental Files

File
AE1910 CTD XMLCON file
filename: 1377_27APR2019_McGreal.xmlcon
(Extensible Markup Language (.xml), 10.65 KB)
MD5:d289c14a2d83029272fa75566134af73
AE1910 CTD XMLCON file

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Parameters

ParameterDescriptionUnits
castCTD cast number (based on file name) unitless
latitudeNMEA Latitude from bottle file header; positive values = North decimal degrees
longitudeNMEA Longitude from bottle file header; positive values = East decimal degrees
BottleBottle number unitless
YearFour digit year; format: YYYY unitless
MonthOne digit month (5 = May) unitless
DayTwo digit day of month unitless
HoursTwo digit hours portion of time unitless
MinutesTwo digit minutes portion of time unitless
SecondsTwo digit seconds portion of time unitless
DepSM_avgDepth average meters (m)
DepSM_stdevDepth standard deviation meters (m)
AltM_avgAltimeter average meters (m)
AltM_stdevAltimeter standard deviation meters (m)
CStarTr0_avgBeam transmission (WET Labs C-Star) average reciprocal meters (1/m)
CStarTr0_stdevBeam transmission (WET Labs C-Star) standard deviation reciprocal meters (1/m)
C0S_m_avgConductivity average siemens per meter (S/m)
C0S_m_stdevConductivity standard deviation siemens per meter (S/m)
FlC_avgFluorescence (Chelsea Aqua 3) average micrograms per liter (ug/L)
FlC_stdevFluorescence (Chelsea Aqua 3) standard deviation micrograms per liter (ug/L)
Sbeox0_avgOxygen (SBE 43) average (Named "Sbeox0Mm/Kg in original CTD file; renamed to avoid confusion because units of measurement are actually umol/kg.) micromoles per kilogram (umol/kg)
Sbeox0_stdevOxygen (SBE 43) standard deviation. (Named "Sbeox0Mm/Kg in original CTD file; renamed to avoid confusion because units of measurement are actually umol/kg.) micromoles per kilogram (umol/kg)
Par_avgPAR/Irradiance (Biospherical/Licor) average umol photons m-2 s-1
Par_stdevPAR/Irradiance (Biospherical/Licor) standard deviation umol photons m-2 s-1
PrDE_avgPressure average psi
PrDE_stdevPressure standard deviation psi
Sal00_avgSalinity average PSU
Sal00_stdevSalinity standard deviation PSU
T090C_avgTemperature average ITS-90, degrees C
T090C_stdevTemperature standard deviation ITS-90, degrees C
Sigma_e00_avgDensity [sigma-theta] average kilograms per cubic meter (kg/m^3)
Sigma_e00_stdevDensity [sigma-theta] standard deviation kilograms per cubic meter (kg/m^3)
Scan_avgScan number average unitless
Scan_stdevScan number standard deviation unitless
ISO_DateTime_UTCDate and time (UTC) formatted to ISO8601 standard; format: YYYY-mm-ddTHH:MM:SSZ unitless


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Instruments

Dataset-specific Instrument Name
Generic Instrument Name
Niskin bottle
Generic Instrument Description
A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends. The bottles can be attached individually on a hydrowire or deployed in 12, 24, or 36 bottle Rosette systems mounted on a frame and combined with a CTD. Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc.

Dataset-specific Instrument Name
Sea-Bird SBE 9 11+ V 5.2
Generic Instrument Name
CTD Sea-Bird SBE 911plus
Generic Instrument Description
The Sea-Bird SBE 911 plus is a type of CTD instrument package for continuous measurement of conductivity, temperature and pressure. The SBE 911 plus includes the SBE 9plus Underwater Unit and the SBE 11plus Deck Unit (for real-time readout using conductive wire) for deployment from a vessel. The combination of the SBE 9 plus and SBE 11 plus is called a SBE 911 plus. The SBE 9 plus uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 plus and SBE 4). The SBE 9 plus CTD can be configured with up to eight auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorescence, light (PAR), light transmission, etc.). more information from Sea-Bird Electronics


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Deployments

AE1910

Website
Platform
R/V Atlantic Explorer
Report
Start Date
2019-05-20
End Date
2019-05-23
Description
Additional cruise data may be available from the Rolling Deck to Repository (R2R): https://www.rvdata.us/search/cruise/AE1910


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Project Information

Collaborative Research: Diel physiological rhythms in a tropical oceanic copepod (Zooplankton Diel Rhythm)

Coverage: Bermuda


NSF Award Abstract:
The daily vertical migration (DMV) of zooplankton and fish across hundreds of meters between shallow and deep waters is a predominant pattern in pelagic ecosystems. This migration has consequences for biogeochemical cycling as it moves a substantial portion of fixed carbon and nitrogen (an estimated 15 to 40 % of the total global organic export) from the surface directly to depth where it feeds the midwater food chain and sequesters nutrients away from atmospheric mixing. Estimates and predictions of these fluxes are, however, poorly understood at present. New observations have shown that one source of uncertainty is due to the assumption that metabolic rates and processes do not vary over the course of the day, except based on changes in temperature and oxygen availability. Rates are, however, also driven by differences in feeding, swimming behavior, and underlying circadian cycles. The objective of this project is to improve the ability of scientists to understand and predict zooplankton contributions to the movement of carbon and nitrogen in the ocean by detailing daily changes in physiological processes of these organisms. By producing a set of respiration and excretion measurements over a daily time series, paired with simultaneously collected gene and protein expression patterns for an abundant vertically migratory species, the investigators will provide unprecedented and predictive insight into how changes in the environment affect the contribution of zooplankton to biogeochemical fluxes. The sampling design of the project will advance discovery and understanding by providing hands-on training opportunities to at least two undergraduate researchers. The project will broaden dissemination of the research via development of an educational module, focusing on rhythms in the ocean. The module will initially be piloted with the Bermuda Institute of Ocean Sciences (BIOS) summer camp students and then disseminated through the BIOS Explorer program, the Teacher Resources Page on the BIOS website, and published in a peer-reviewed educational journal.

This project will characterize the metabolic consequences of daily physiological rhythms and DVM for a model zooplankton species, the abundant subtropical copepod Pleuromamma xiphias. Flux processes (oxygen consumption, carbon dioxide production, production of ammonium and fecal pellet production) will be interrogated using directed experiments testing the effects of temperature, feeding and circadian cycle. Circadian cycling will further be examined using transcriptomic and proteomic profiling. These experiments will be related to field samples taken at 6-h intervals over the course of the diel migration using an integrated suite of molecular and organismal metrics. Combined organismal, transcriptomic and proteomic profiles will provide an understanding of which metabolic pathways and associated flux products vary in relation to particular environmental variables (food, light cycle, temperature). Diel variation in metabolic rates will also be assessed across seasons and species using other important migratory groups (pteropod, euphausiid, and another copepod). The metabolic data will then be contextualized with abundance estimates from archived depth-stratified tows to allow scaling to community-level patterns and will be used to improve calculations of zooplankton contribution to particulate organic carbon, nitrogen and respiratory active flux. The results of this study will both improve our flux estimates and provide predictive insight into how various environmental variables influence the underlying physiological pathways generating carbon and nitrogen flux.

Cruise reports are available from the completed cruises:
SD031019
AE1910
AE1918



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)
NSF Division of Ocean Sciences (NSF OCE)

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