CTD profile downcasts from R/V New Horizon NEMO cruise NH1417 in the Eastern Pacific between San Diego and Hawaii from August to September 2014 (Phyto response to N substrates project)

Website: https://www.bco-dmo.org/dataset/685709
Data Type: Cruise Results
Version:
Version Date: 2017-03-23

Project
» Oligotrophic phytoplankton community response to changes in N substrates and the resulting impact on genetic, taxonomic and functional diversity (PhytoNsubResponse)

Program
» Dimensions of Biodiversity (Dimensions of Biodiversity)
ContributorsAffiliationRole
Mills, Matthew M.Stanford UniversityPrincipal Investigator
Arrigo, Kevin R.Stanford UniversityCo-Principal Investigator
Church, Matthew J.University of MontanaCo-Principal Investigator
Kolber, ZbigniewSoliense Inc.Co-Principal Investigator
Zehr, Jonathan P.University of California-Santa Cruz (UCSC)Co-Principal Investigator
van Dijken, GertStanford UniversityContact
York, Amber D.Woods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager


Coverage

Spatial Extent: N:34.9707 E:-117.523 S:21.684 W:-158.633

Dataset Description

This dataset contains CTD data including temperature, salinity, depth, pressure, fluorescence, sigma-theta density, PAR, beam attenuation, and beam transmission from R/V New Horizon cruise NH1417 from August 18th to September 16th of 2014 in the Eastern Pacific between San Diego and Hawaii.

The R/V New Horizon cruise NH1417 was a Nutrient Effects on Marine microOrganisms (NEMO) cruise.


Methods & Sampling

Data was collected using standard oceanographic techniques. A CTD Rosette with 24 10L Niskin bottles was lowered to the maximum sampling depth and then brought back to the surface. Water was collected on up casts at discrete depths. Once on board seawater was collected from each bottle for analysis. 


Data Processing Description

CTD data is only down cast, up cast data was removed. Data was 1m binned. Data processed using Seabird Seasoft software.

Calculation methods:
* Salinity (sal1,sal2) calculated with 1978 PRACTICAL SALINITY SCALE EQUATIONS, from IEEE Journal of Oceanic Engineering, Vol. OE-5, No. 1, January 1980, page 14.
* Derived density (sigma_theta,sigma_theta2) calculated with N.P. Fofonoff and R.C Millard Jr.; Unesco technical papers in marine science #44, 1983

BCO-DMO Data Manager Processing Notes:
* added a conventional header with dataset name, PI name, version date
* modified parameter names to conform with BCO-DMO naming conventions
* blank values replaced with no data value 'nd'
* added Z to timestamp to make it ISO format
* rounded values to three decimal places except lat/lon left as 4 places
* replaced values of -10000000000 in sensor data with "nd" indicating no data


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Data Files

File
ctd.csv
(Comma Separated Values (.csv), 7.03 MB)
MD5:82230e84a724a7f1611d77d598bdf43c
Primary data file for dataset ID 685709

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Parameters

ParameterDescriptionUnits
cruise_idCruise identifier unitless
stationStation identifier unitless
castcast identifier unitless
ISO_DateTime_UTCISO timestamp based on the ISO 8601:2004(E) standard in format YYYY-mm-ddTHH:MM:SS[.xx]Z (UTC) unitless
latLatitude decimal degrees
lonLongitude; west is negative decimal degrees
depthDerived Depth meters
pressPressure digiquartz (db)
tempTemperature 1 degrees Celsius
temp2Temperature 2 degrees Celsius
salSalinity 1 from instrument PSS-78 practical salinity units (PSU)
sal2Salinity 2 from instrument PSS-78 practical salinity units (PSU)
O2Dissolved oxygen from SBE 43 milliliters per liter (ml/L)
fluorIn-situ chlorophyll a flourescence from Wet Labs Eco-AFL/FL milligrams per meter squared (mg/m3)
PARPhotosynthetically Active Radiation from Biospherical QSP-200L microEinsteins per square meter per second (uEIN/m2/s)
densityDerived Density- sigma theta 1 kilograms per meter squared
density2Derived Density- sigma theta 2 kilograms per meter squared
beam_attBeam Attenuation from Chelsea/Seatech instrument per meter (1/m)
beam_transBeam Transmission from Chelsea/Seatech instrument percent


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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
CTD Rosette
Generic Instrument Name
CTD - profiler
Generic Instrument Description
The Conductivity, Temperature, Depth (CTD) unit is an integrated instrument package designed to measure the conductivity, temperature, and pressure (depth) of the water column. The instrument is lowered via cable through the water column. It permits scientists to observe the physical properties in real-time via a conducting cable, which is typically connected to a CTD to a deck unit and computer on a ship. The CTD is often configured with additional optional sensors including fluorometers, transmissometers and/or radiometers. It is often combined with a Rosette of water sampling bottles (e.g. Niskin, GO-FLO) for collecting discrete water samples during the cast. This term applies to profiling CTDs. For fixed CTDs, see https://www.bco-dmo.org/instrument/869934.


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Deployments

NH1417

Website
Platform
R/V New Horizon
Start Date
2014-08-18
End Date
2014-09-16
Description
NEMO cruise. Bounding box -- 35 degrees N to 21.5 degrees N, 117 degrees W to 157 degrees W NSF R2R data catalog


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Project Information

Oligotrophic phytoplankton community response to changes in N substrates and the resulting impact on genetic, taxonomic and functional diversity (PhytoNsubResponse)

Coverage: North Pacific Subtropical Gyre at Station ALOHA, and a transect from San Diego, CA to Hawaii


(Extracted from NSF award abstract)

Marine phytoplankton are a diverse group of Prokaryotic and Eukaryotic unicellular organisms that account for approximately 50% of global carbon fixation. Nitrogen (N) is an essential element for microbial growth, but concentrations of bioavailable nitrogen in vast regions of subtropical ocean gyres are extremely low (submicromolar to nanomolar concentrations), and generally limit phytoplankton growth. Phytoplankton taxa differ in their genetic capabilities to take up and assimilate nutrients, and thus competition for different chemical forms of N (NH4+, NO3- and urea) and supply of these N-containing compounds are important controls on phytoplankton growth, productivity, and ultimately ecosystem function. The form and supply of N to phytoplankton have already been altered by anthropogenic activities, and with increasing environmental perturbations the effects will accelerate. To date however, there is limited information on how the N forms and fluxes impact the marine phytoplankton community composition and primary production. Similarly, determining the mechanisms of the response are crucial to assessing how ocean ecosystem function will respond to global climate change.

This project seeks to determine how taxonomic, genetic and functional dimensions of phytoplankton diversity are linked with community-level responses to the availability of different N substrates (NH4+, NO3-, and urea) in one of Earth's largest aquatic habitats, the North Pacific Subtropical Gyre. The project will characterize phytoplankton community composition change and gene expression, photosynthetic performance, carbon fixation, and single-cell level N and C uptake in different taxa within the phytoplankton assemblage in response to different N compounds. The research project is unique in investigating community-to-single-cell level function and species (strain)-specific gene expression patterns using state-of-the-art methods including fast repetition rate fluorometry, nanoscale secondary ion mass spectrometry and a comprehensive marine microbial community microarray. The results will provide predictive understanding of how changes in the availability of key nitrogen pools (N) may impact phytoplankton dynamics and function in the ocean.

References:

Karl, D. M., Bjorkman, K. M., Dore, J. E., Fujieki, L., Hebel, D. V., Houlihan, T., Letelier, R. M., Tupas, L. M. 2001. Ecological nitrogen-to-phosphorus stoichiometry at station ALOHA. Deep-Sea Research II. 48:1529 - 1566.

Karl, D. M., Letelier, R., Tupas, L., Dore, J., Christian, J. & Hebel, D. 1997. The role of nitrogen fixation in biogeochemical cycling in the subtropical North Pacific Ocean. Nature. 388:533-538.

McCarthy, J., Taylor, W. R., Taft, J. 1997.  Nitrogenous nutrition of the plankton in the Chesapeake Bay. Limnology and Oceanography. 35:822 - 829.

Letelier, R., Karl, D. M. 1996.  Role of Trichodesmium spp. in the productivity of the subtropical North Pacific Ocean. Marine Ecology Progress Series. 133:263 - 273.

Lipschultz, F. 1995.  Nitrogen-specific uptake rates of marine phytoplankton isolated from natura populations of particles by flow cytometry. Marine Ecology Progress Series. 123:245-258.



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Program Information

Dimensions of Biodiversity (Dimensions of Biodiversity)


Coverage: global


(adapted from the NSF Synopsis of Program)
Dimensions of Biodiversity is a program solicitation from the NSF Directorate for Biological Sciences. FY 2010 was year one of the program.  [MORE from NSF]

The NSF Dimensions of Biodiversity program seeks to characterize biodiversity on Earth by using integrative, innovative approaches to fill rapidly the most substantial gaps in our understanding. The program will take a broad view of biodiversity, and in its initial phase will focus on the integration of genetic, taxonomic, and functional dimensions of biodiversity. Project investigators are encouraged to integrate these three dimensions to understand the interactions and feedbacks among them. While this focus complements several core NSF programs, it differs by requiring that multiple dimensions of biodiversity be addressed simultaneously, to understand the roles of biodiversity in critical ecological and evolutionary processes.



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Funding

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

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