Hydrographic, nutrient and oxygen data from CTD bottles during R/V Pelican cruises from 2016-06-29 to 2018-06-24

Website: https://www.bco-dmo.org/dataset/753882
Data Type: Cruise Results
Version: 1
Version Date: 2019-01-28

Project
» REU Site: Ocean Observing for Emerging Ocean Scientists (REU-OTO)
ContributorsAffiliationRole
Campbell, LisaTexas A&M University (TAMU)Principal Investigator
Knap, AnthonyTexas A&M University (TAMU)Co-Principal Investigator
DiMarco, StevenTexas A&M University (TAMU)Contact
Biddle, MathewWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
Hydrographic, nutrient and oxygen data from CTD bottles during R/V Pelican cruises.


Coverage

Spatial Extent: N:29.264 E:-91.72577 S:27.8681 W:-94.63563
Temporal Extent: 2016-06-29 - 2018-06-24

Dataset Description

Hydrographic, nutrient and oxygen data from CTD bottles during R/V Pelican cruises.


Methods & Sampling

Nutrient Analysis Equipment and Techniques:

Nutrient samples were collected, filtered (0.2 µm Acropak-200 polyethersulfone filters, Pall) and frozen on board until analysis on shore up to 3 months later. Nutrient analyses (phosphate, silicate, nitrate+nitrite, nitrite, ammonium, and urea) were performed on 6-channel Astoria-Pacific autoanalyzer using standard methods (WHPO 1994). Ammonia analyses were based on Solorzano (1969), using phenol/hypochlorite in alkaline medium with a sodium nitroprusside catalyst. Urea analyses were based on Aminot and Kerouel (1982) using diacetyl monoxime in acid solution.

Dissolved Oxygen Analysis Equipment and Techniques:

Samples were collected for dissolved oxygen analyses soon after the rosette was brought on board. Using a Tygon or silicone drawing tube, nominal 125 ml volume-calibrated iodine flasks were rinsed 3 times with minimal agitation, then filled and allowed to overflow for at least 3 flask volumes. Reagents (MnCl2 then NaI/NaOH) were added to fix the oxygen before stoppering. The flasks were shaken twice (>1 minute inversions) to assure thorough dispersion of the precipitate. The lip of the flask stopper was the filled with ultrapure water to prevent access to atmospheric oxygen during the up to 3 hours between sample collection and analysis.

Oxygen flask volumes were determined gravimetrically to determine flask volumes at TAMU Geochemical and Environmental Research Group (GERG). This is done once before using flasks for the first time and periodically thereafter when a suspect volume is detected.

Dissolved oxygen analyses were performed with an automated Winkler oxygen titrator (Langdon Enterprises, Miami) using amperometric end-point detection. Thiosulfate (nominally 0.01 N) was standardized against 0.01 N potassium iodate prior to sample analysis.

Salinity Analysis Equipment and Techniques:

Salinity samples were drawn into 200 mL Kimax high-alumina borosilicate bottles, which were rinsed three times with sample prior to filling to the shoulder. The bottles were sealed with plastic insert thimbles to reduce evaporation. PSS78 salinity (UNESCO 1981) was calculated for each sample from the measured conductivity ratios. 

A Guildline Autosal 8400B salinometer (S/N 65715) was used for salinity/conductivity measurements. The salinity analyses were performed after samples had equilibrated to laboratory temperature, usually within 6 weeks after collection. The salinometer was standardized for each group of analyses using OSIL standard seawater, with frequent use of a secondary deep water standard to check for drift during runs. 


Data Processing Description

SBE Data Processing Version 7.26.6.28 was used to process the raw Sea-Bird CTD data (.hex) into a human-readable format (.cnv). The order of functions ran via SBE Data Processing was: Data Conversion, Filter, Align CTD, Cell Thermal Mass, Loop Edit, Derive, and Bin Average.

BCO-DMO Processing Notes:
- combined three years of data into one dataset
- added conventional header with dataset name, PI name, version date
- modified parameter names to conform with BCO-DMO naming conventions
- created date_time field with the format yyyy-mm-dd hh:mm

 


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Data Files

File
combined.csv
(Comma Separated Values (.csv), 90.91 KB)
MD5:020b23310d1202dd62530053c67bf5fe
Primary data file for dataset ID 753882

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Related Publications

Aminot Alain, Kerouel R. (1982). Dosage automatique de l'urée dans l'eau de mer : une méthode très sensible à la diacétylmonoxime. Canadian journal of fisheries and aquatic sciences, 39, 174-183. https://archimer.ifremer.fr/doc/1982/publication-5350.pdf
Methods
SOLÓRZANO, L. (1969). DETERMINATION OF AMMONIA IN NATURAL WATERS BY THE PHENOLHYPOCHLORITE METHOD 1 1 This research was fully supported by U.S. Atomic Energy Commission Contract No. ATS (11-1) GEN 10, P.A. 20. Limnology and Oceanography, 14(5), 799–801. doi:10.4319/lo.1969.14.5.0799
Methods
WHPO. 1994. WHP Operations and Methods. WOCE Hydrographic Office Report 91/1, as revised, WOCE Hydrographic Program Office, Woods Hole, MA.
Methods

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Parameters

ParameterDescriptionUnits
Station

Name of sampling station

unitless
Year

Year water samples were taken

unitless
Month

Month water samples were taken

unitless
Day

Day water samples were taken

unitless
Time

Time water samples were taken in UTC

unitless
date_time

date and time in UTC in ISO8601 format

unitless
Water_Depth

Maximum depth of bathymetry at station

meters
Latitude

Latitude of sampling station

decimal degrees
Longitude

Longitude of sampling station

decimal degrees
Niskin_Bottle

Niskin bottle samples were collected from

unitless
Bottle_Depth

Depth at which niskin bottle was closed

meters
Sequence

Order of stations

unitless
Nutrient_Bottle_no

Sample bottle number containing nutrient water sample

unitless
NO3_a

Nutrient analysis of nitrate content

umol/L
NO3_b

Nutrient analysis of nitrate content

mg/L N
HPO4_a

Nutrient analysis of hydrogen phosphate content

umol/L
HPO4_b

Nutrient analysis of hydrogen phosphate content

mg/L P
HSIO3_a

Nutrient analysis of hydrogen silicate content

umol/L
HSIO3_b

Nutrient analysis of hydrogen silicate content

mg/L SiO3
NH4_a

Nutrient analysis of ammonium content

umol/L
NH4_b

Nutrient analysis of ammonium content

mg/L N
NO2_a

Nutrient analysis of nitrogen dioxide content

umol/L
NO2_b

Nutrient analysis of nitrogen dioxide content

mg/L N
Urea_a

Nutrient analysis of urea content

umol/L
Urea_b

Nutrient analysis of urea content

mg/L N
NO3_NO2

Total nitrogen present in water sample

uM
Salinity_Bottle_no

Sample bottle number containing salinity water sample

unitless
Sample_Salinity

Salinity of collected water sample

PSU
CTD_Salinity

Salinity recorded from CTD

PSU
Oxygen_Bottle_no

Sample bottle number containing oxygen water sample

unitless
Burrette_Reading

Burrette reading of oxygen water sample

unitless
Dissolved_Oxygen_Content_a

Calculated dissolved oxygen content in water sample

mL/L
Dissolved_Oxygen_Content_b

Calculated dissolved oxygen content in water sample

mg/L
Dissolved_Oxygen_Content_c

Calculated dissolved oxygen content in water sample

mM/L
Density

Density

kg/m3
Temperature

Water Temperature

Degrees C
Transmissometer

percent transmittance

unitless
Chlorophyll_Fluoresence

cholorphyll fluoresence

ug/l
CDOM

Colored Dissolved Organic Matter

mg/m3
PAR

Photosynthetically Active Radiation

unitless
Comments

comments

unitless


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Instruments

Dataset-specific Instrument Name
adcp
Generic Instrument Name
Acoustic Doppler Current Profiler
Dataset-specific Description
adcp: Hawaii UHDAS: dx.doi.org/10.7284/126351
Generic Instrument Description
The ADCP measures water currents with sound, using a principle of sound waves called the Doppler effect. A sound wave has a higher frequency, or pitch, when it moves to you than when it moves away. You hear the Doppler effect in action when a car speeds past with a characteristic building of sound that fades when the car passes. The ADCP works by transmitting "pings" of sound at a constant frequency into the water. (The pings are so highly pitched that humans and even dolphins can't hear them.) As the sound waves travel, they ricochet off particles suspended in the moving water, and reflect back to the instrument. Due to the Doppler effect, sound waves bounced back from a particle moving away from the profiler have a slightly lowered frequency when they return. Particles moving toward the instrument send back higher frequency waves. The difference in frequency between the waves the profiler sends out and the waves it receives is called the Doppler shift. The instrument uses this shift to calculate how fast the particle and the water around it are moving. Sound waves that hit particles far from the profiler take longer to come back than waves that strike close by. By measuring the time it takes for the waves to bounce back and the Doppler shift, the profiler can measure current speed at many different depths with each series of pings. (More from WHOI instruments listing).

Dataset-specific Instrument Name
barameter
Generic Instrument Name
Barometer
Dataset-specific Description
Vaisala PTB101B: dx.doi.org/10.7284/124538
Generic Instrument Description
A barometer is an instrument used to measure atmospheric pressure. There are many types of barometers identified by make and model and method of measurement.

Dataset-specific Instrument Name
Sea-Bird SBE-911+
Generic Instrument Name
CTD Sea-Bird SBE 911plus
Dataset-specific Description
Sea-Bird SBE-911+: dx.doi.org/10.7284/124602
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

Dataset-specific Instrument Name
gnss
Generic Instrument Name
GPS receiver
Dataset-specific Description
Ashtech ADU800: dx.doi.org/10.7284/124579
Generic Instrument Description
Acquires satellite signals and tracks your location. This term has been deprecated. Use instead: https://www.bco-dmo.org/instrument/560

Dataset-specific Instrument Name
Vaisala HMP45
Generic Instrument Name
Hygrometer
Dataset-specific Description
dx.doi.org/10.7284/124539
Generic Instrument Description
Hygrometers are used for measuring relative humidity. This term is used when details of the make, model number and measurement principle are not known.

Dataset-specific Instrument Name
Sea-Bird SBE-21
Generic Instrument Name
Sea-Bird SeaCAT Thermosalinograph SBE 21
Dataset-specific Description
dx.doi.org/10.7284/124541
Generic Instrument Description
A platinum-electrode conductivity sensor and a thermistor mounted in a corrosion-resistant plastic and titanium housing designed to be continuously plumbed into a vessel's pumped seawater supply. The instrument may be interfaced to a remote SBE 38 temperature sensor mounted either on the hull or in the seawater inlet. Data are both stored in internal memory and output to a serial port for external logging.  Conductivity is measured in the range 0-7 S/m with an accuracy of 0.001 S/m and a resolution  of 0.0001 S/m. Housing temperature is measured in the range -5-35C with an accuracy of 0.01 C and a resolution  of 0.001 C. Remote temperature is measured in the range -5-35C  with an accuracy of 0.001 C and a resolution  of 0.0003 C. More information at http://www.seabird.com/products/spec_sheets/21data.htm.

Dataset-specific Instrument Name
WET Labs C-Star
Generic Instrument Name
WET Labs {Sea-Bird WETLabs} C-Star transmissometer
Dataset-specific Description
dx.doi.org/10.7284/124540
Generic Instrument Description
The C-Star transmissometer has a novel monolithic housing with a highly intgrated opto-electronic design to provide a low cost, compact solution for underwater measurements of beam transmittance. The C-Star is capable of free space measurements or flow-through sampling when used with a pump and optical flow tubes. The sensor can be used in profiling, moored, or underway applications. Available with a 6000 m depth rating. More information on Sea-Bird website: https://www.seabird.com/c-star-transmissometer/product?id=60762467717


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Deployments

PE16-26

Website
Platform
R/V Pelican

PE17-25

Website
Platform
R/V Pelican

PE18-32

Website
Platform
R/V Pelican
Start Date
2018-06-22
End Date
2018-06-24


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Project Information

REU Site: Ocean Observing for Emerging Ocean Scientists (REU-OTO)


Coverage: Gulf Mexico, Louisiana and Texas coast, Flower Garden Banks National Marine Sanctuary


NSF Award Abstract:
A new Research Experiences for Undergraduates (REU) Site will be located at Texas A&M University's campus in College Station, TX. The Geochemical and Environmental Research Group (GERG) and the Department of Oceanography will host 10 REU students for 10 weeks each summer, and the program will focus on innovative ocean observing technologies. Students will have access to a suite of ocean data acquisition technologies incorporated in TAMU's offshore buoy system, glider technology, remote real-time measurements from moored instrumentation, shipboard field surveys with CTD profiling and water sampling. A group project to develop and deploy a glider mission in the Gulf of Mexico onboard a research vessel will promote team building. Training modules on sensors, data analysis, graphical representation of oceanographic data, data management, and science writing will be provided. Students will participate in weekly REU seminars, and at the program end, they will demonstrate their communication skills with a final written report and a seminar presentation at the GERG REU Student Research Symposium. Although the program is open to students who are US citizens or permanent residents attending any university, local recruitment efforts will be coordinated with faculty in the NSF-funded Alliance for Graduate Education and the Professoriate (AGEP) program which supports mentoring of STEM majors across TAMU branch campuses (Kingsville, Corpus Christi, Prairie View and West Texas).

Related Projects:
This project is a renewed/continued by project "REU Site: Observing the Ocean" (OCE-1849932); see: https://www.bco-dmo.org/project/877594.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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