Bottle sample data from the first cruise of SPIROPA project, R/V Neil Armstrong cruise AR29, to the New England Shelfbreak in April 2018.

Website: https://www.bco-dmo.org/dataset/815450
Data Type: Cruise Results
Version: 1
Version Date: 2020-06-17

Project
» Collaborative Research: Shelfbreak Frontal Dynamics: Mechanisms of Upwelling, Net Community Production, and Ecological Implications (SPIROPA)
ContributorsAffiliationRole
McGillicuddy, Dennis J.Woods Hole Oceanographic Institution (WHOI)Principal Investigator
Zhang, Weifeng GordonWoods Hole Oceanographic Institution (WHOI)Co-Principal Investigator
Kosnyrev, OlgaWoods Hole Oceanographic Institution (WHOI)Data Manager
Biddle, MathewWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager
York, Amber D.Woods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
Bottle sample data from the first cruise of SPIROPA project, R/V Neil Armstrong cruise AR29, to the New England Shelfbreak in April 2018.


Coverage

Spatial Extent: N:39.8145 E:-70.814 S:39.6215 W:-70.8287
Temporal Extent: 2018-04-27

Dataset Description


 


Methods & Sampling

Standard CTD cast.  Water sampling bottle data (up casts) from standard station CTD profiles. Bottle numbers are [140, 141, 142, 143]


Data Processing Description

Sea-Bird Software:
Data acquisition: SBE Seasave, version 7.23.2
Data processing: SBE Data Processing, version 7.26.7.114

BCO-DMO Processing Notes:
- added conventional header with dataset name, PI name, version date
- modified parameter names to conform with BCO-DMO naming conventions
- converted latitude and longitude coordinates to decimal degrees in the lat and lon columns
- concatenated all seabird data bottle files into one dataset.
- added ISO_DateTime_UTC, latitude, and longitude fields


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Data Files

File
btl.csv
(Comma Separated Values (.csv), 15.14 KB)
MD5:4d15b79ea9561924f58d260b8432c8c9
Primary data file for dataset ID 815450

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Related Datasets

IsRelatedTo
McGillicuddy, D. J., Sosik, H. M., Zhang, W. G., Smith, W. O., Stanley, R., Turner, J., Petitpas, C. (2022) Bottle sample data and water processing samples from CTD casts from the first cruise of SPIROPA project, R/V Neil Armstrong cruise AR29, to the New England Shelfbreak in April 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 2) Version Date 2022-06-08 doi:10.26008/1912/bco-dmo.863240.2 [view at BCO-DMO]
Relationship Description: Bottle data of the third SPIROPA cruise taken in April 2018 (upcasts).

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Parameters

ParameterDescriptionUnits
file_name

file name for the bottle file

unitless
latitude

Latitude of station location with positive values indicating North

decimal degrees
longitude

Longitude of station location with negative values indicating West

decimal degrees
ISO_DateTime_UTC

Date and time of observations following ISO8601 format

unitless
Bottle

Bottle number

unitless
SvCM1_avg

Average Sound Velocity Chen-Millero 2

meter per second (m/s)
PrDM_avg

Average Pressure

decibar (db)
T090C_avg

Average Temperature ITS-90

degrees Celsius (C)
T190C_avg

Average Temperature 2 ITS-90

degrees Celsius (C)
C0S_m_avg

Average conductivity

Siemens per meter (S/m)
C1S_m_avg

Average conductivity 2

Siemens per meter (S/m)
Sbeox0V_avg

Average Oxygen raw SBE 43

volts (V)
Sal00_avg

Average practical salinity

unitless
Spar_avg

Average SPAR Biospherical/Licor

microEinsteins per meter squared per second (uE/m2/s)
Par_avg

Average PAR/Irradiance Biospherical/Licor

microEinsteins per meter squared per second (uE/m2/s)
Cpar_avg

Average CPAR/Corrected Irradiance

percent (%)
Scan_avg

scan count for average

unitless
Sigma_e00_avg

Average Density sigma-theta

kilogram per meter cubed (kg/m3)
Sigma_e11_avg

Average Density 2 sigma-theta

kilogram per meter cubed (kg/m3)
Sbeox0ML_L_avg

Average Oxygen concentration

milliliter per liter (mL/L)
OxsolMm_Kg_avg

Average Oxygen saturation

mikroMol per kilogram (mkMol/kg)
Sbox0Mm_Kg_avg

Average Oxygen concentration

mikroMol per kilogram (mkMol/kg)
Potemp090C_avg

Average potential temperature

degrees Celsius (C)
Potemp190C_avg

Average potential temperature 2

degrees Celsius (C)
Sal11_avg

Average practical salinity 2

unitless
Density00_avg

Average density

unknown
Density11_avg

Average density 2

unknown
SvCM_avg

Average Sound Velocity Chen-Millero

meter per second (m/s)
FlECO_AFL_avg

Average Fluorescence WET Labs ECO-AFL/FL

milligrams per meter cubed (mg/m3)
TurbWETntu0_avg

Average Turbidity WET Labs ECO

NTU
C0S_m_max

Maximum conductivity

Siemens per meter (S/m)
C1S_m_max

Maximum conductivity 2

Siemens per meter (S/m)
Cpar_max

Maximum CPAR/Corrected Irradiance

percent (%)
FlECO_AFL_max

Maximum Fluorescence WET Labs ECO-AFL/FL

milligrams per meter cubed (mg/m3)
Par_max

Maximum PAR/Irradiance Biospherical/Licor

microEinsteins per meter squared per second (uE/m2/s)
PrDM_max

Maximum pressue

decibar (db)
Sal00_max

Maximum practical salinity

unitless
Sbeox0V_max

Maximum Oxygen raw SBE 43

volts (V)
Scan_max

scan count for maximum

unitless
Spar_max

Maximum SPAR Biospherical/Licor

microEinsteins per meter squared per second (uE/m2/s)
T090C_max

Maximum Temperature ITS-90

degrees Celsius (C)
T190C_max

Maximum Temperature 2 ITS-90

degrees Celsius (C)
TurbWETntu0_max

Maximum Turbidity WET Labs ECO

NTU
C0S_m_min

Minimum conductivity

Siemens per meter (S/m)
C1S_m_min

Minimum conductivity 2

Siemens per meter (S/m)
Cpar_min

Minimum CPAR/Corrected Irradiance

percent (%)
FlECO_AFL_min

Minimum Fluorescence WET Labs ECO-AFL/FL

milligrams per meter cubed (mg/m3)
Par_min

Minimum PAR/Irradiance Biospherical/Licor

microEinsteins per meter squared per second (uE/m2/s)
PrDM_min

Minimum pressure

decibar (db)
Sal00_min

Minimum practical salinity

unitless
Sbeox0V_min

Minimum Oxygen raw SBE 43

volts (V)
Scan_min

scan count for minimum

unitless
Spar_min

Minimum SPAR Biospherical/Licor

microEinsteins per meter squared per second (uE/m2/s)
T090C_min

Minimum Temperature ITS-90

degrees Celsius (C)
T190C_min

Minimum Temperature 2 ITS-90

degrees Celsius (C)
TurbWETntu0_min

Minimum Turbidity WET Labs ECO

NTU
C0S_m_sdev

Standard Deviation of conductivity

Siemens per meter (S/m)
C1S_m_sdev

Standard Deviation of conductivity

Siemens per meter (S/m)
Cpar_sdev

Standard Deviation of CPAR/Corrected Irradiance

percent (%)
FlECO_AFL_sdev

Standard Deviation of Fluorescence WET Labs ECO-AFL/FL

milligrams per meter cubed (mg/m3)
Par_sdev

Standard Deviation of PAR/Irradiance Biospherical/Licor

microEinsteins per meter squared per second (uE/m2/s)
PrDM_sdev

Standard Deviation of pressure

decibar (db)
Sal00_sdev

Standard Deviation of practical salinity

unitless
Sbeox0V_sdev

Standard Deviation of Oxygen raw SBE 43

volts (V)
Scan_sdev

scan count for Standard Deviation

unitless
Spar_sdev

Standard Deviation of SPAR Biospherical/Licor

microEinsteins per meter squared per second (uE/m2/s)
T090C_sdev

Standard Deviation of Temperature ITS-90

degrees Celsius (C)
T190C_sdev

Standard Deviation of Temperature 2 ITS-90

degrees Celsius (C)
TurbWETntu0_sdev

Standard Deviation of Turbidity WET Labs ECO

NTU


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Instruments

Dataset-specific Instrument Name
Sea-Bird SBE 9
Generic Instrument Name
CTD Sea-Bird 9
Dataset-specific Description
Sea-Bird SBE 9
Generic Instrument Description
The Sea-Bird SBE 9 is a type of CTD instrument package. The SBE 9 is the Underwater Unit and is most often combined with the SBE 11 Deck Unit (for real-time readout using conductive wire) when deployed from a research vessel. The combination of the SBE 9 and SBE 11 is called a SBE 911. The SBE 9 uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 and SBE 4). The SBE 9 CTD can be configured with auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorometer, altimeter, etc.). Note that in most cases, it is more accurate to specify SBE 911 than SBE 9 since it is likely a SBE 11 deck unit was used. more information from Sea-Bird Electronics


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Deployments

AR29

Website
Platform
R/V Neil Armstrong
Start Date
2018-04-16
End Date
2018-04-29


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Project Information

Collaborative Research: Shelfbreak Frontal Dynamics: Mechanisms of Upwelling, Net Community Production, and Ecological Implications (SPIROPA)


Coverage: Shelf break south of New England, OOI Pioneer Array


NSF award abstract:

The continental shelf break of the Middle Atlantic Bight supports a productive and diverse ecosystem. Current paradigms suggest that this productivity is driven by several upwelling mechanisms at the shelf break front. This upwelling supplies nutrients that stimulate primary production by phytoplankton, which in turn leads to enhanced production at higher trophic levels. Although local enhancement of phytoplankton biomass has been observed in some circumstances, such a feature is curiously absent from time-averaged measurements, both from satellites and shipboard sampling. Why would there not be a mean enhancement in phytoplankton biomass as a result of the upwelling? One hypothesis is that grazing by zooplankton prevents accumulation of biomass on seasonal and longer time scales, transferring the excess production to higher trophic levels and thereby contributing to the overall productivity of the ecosystem. However, another possibility is that the net impact of these highly intermittent processes is not adequately represented in long-term means of the observations, because of the relatively low resolution of the in-water measurements and the fact that the frontal enhancement can take place below the depth observable by satellite. The deployment of the Ocean Observatories Initiative (OOI) Pioneer Array south of New England has provided a unique opportunity to test these hypotheses. The combination of moored instrumentation and autonomous underwater vehicles will facilitate observations of the frontal system with unprecedented spatial and temporal resolution. This will provide an ideal four-dimensional (space-time) context in which to conduct a detailed study of frontal dynamics and plankton communities needed to examine mechanisms controlling phytoplankton populations in this frontal system. This project will also: (1) promote teaching, training and learning via participation of graduate and undergraduate students in the research , (2) provide a broad dissemination of information by means of outreach in public forums, printed media, and a video documentary of the field work, and (3) contribute to improving societal well-being and increased economic competitiveness by providing the knowledge needed for science-based stewardship of coastal ecosystems, with particular emphasis on connecting with the fishing industry through the Commercial Fisheries Research Foundation.

The investigators will conduct a set of three cruises to obtain cross-shelf sections of physical, chemical, and biological properties within the Pioneer Array. Nutrient distributions will be assayed together with hydrography to detect the signature of frontal upwelling and associated nutrient supply. The investigators expect that enhanced nutrient supply will lead to changes in the phytoplankton assemblage, which will be quantified with conventional flow cytometry, imaging flow cytometry (Imaging FlowCytobot, IFCB), optical imaging (Video Plankton Recorder, VPR), traditional microscopic methods, and pigment analysis. Zooplankton will be measured in size classes ranging from micro- to mesozooplankton with the IFCB and VPR, respectively, and also with microscopic analysis. Biological responses to upwelling will be assessed by measuring rates of primary productivity, zooplankton grazing, and net community production. These observations will be synthesized in the context of a coupled physical-biological model to test the two hypotheses that can potentially explain prior observations: (1) grazer-mediated control and (2) undersampling. Hindcast simulations will also be used to diagnose the relative importance of the various mechanisms of upwelling. The intellectual merit of this effort stems from our interdisciplinary approach, advanced observational techniques, and integrated analysis in the context of a state-of-the-art coupled model. The project will address longstanding questions regarding hydrodynamics and productivity of an important ecosystem, leading to improved understanding of physical-biological interactions in a complex continental shelf regime. Given the importance of frontal systems in the global coastal ocean, it is expected that knowledge gained will have broad applicability beyond the specific region being studied.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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