Dissolved, inorganic nutrient data integrated with bottle data from R/V Endeavor cruise EN640 in June-July 2019

Website: https://www.bco-dmo.org/dataset/861378
Data Type: Cruise Results
Version: 1
Version Date: 2021-09-24

Project
» Collaborative Research: Impact of the Amazon River Plume on Nitrogen Availability and Planktonic Food Web Dynamics in the Western Tropical North Atlantic (Amazon River Plume Nitrogen)
ContributorsAffiliationRole
Montoya, JosephGeorgia Institute of Technology (GA Tech)Principal Investigator
Subramaniam, AjitLamont-Doherty Earth Observatory (LDEO)Co-Principal Investigator
Rauch, ShannonWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
This dataset includes dissolved, inorganic nutrient data integrated with bottle data from R/V Endeavor cruise EN640 in June and July 2019.


Coverage

Spatial Extent: N:16.03415 E:-50.38406 S:4.87905 W:-60.00262
Temporal Extent: 2019-06-15 - 2019-07-07

Methods & Sampling

Hydrographic data and water samples were collected during casts with a CTD-rosette system (SBE11plus equipped with a fluorometer, transmissometer, oxygen sensor, and a PAR sensor).

Water samples for dissolved, inorganic nutrient analysis were collected in duplicate directly from Niskin bottles attached to the CTD-rosette system (listed above). Sampling tubes were rinsed with sample water three times before collection. After collection, one set of samples was placed in a fridge to be analyzed within 48hrs aboard the vessel while the duplicate set of samples was placed immediately in a freezer for later analysis. Analysis was completed on a Lachat Quickchem 8500 Series 2 nutrient analyzer, according to standard methods listed below:

PO4: 31-115-01-I

Si: 31-114-27-1-B

NO3/NO2: 31-107-04-1-A

NO2: 31-107-05-1-A

Method details available at: https://support.hach.com/app/answers/answer_view/a_id/1004798


Data Processing Description

Data Processing:
Hydrographic data were processed using SeaSave v 7.26.7.121. Please see the "EN640_Nutrients_Processing_Notes.pdf" Supplemental File for data processing details. Nutrient data were processed using Omnion 3.0 Software.

BCO-DMO Processing:
- renamed fields to comply with BCO-DMO naming conventions;
- converted date to YYYY-MM-DD format;
- added date-time field in ISO8601 format.


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Data Files

File
EN640_Nutrients.csv
(Comma Separated Values (.csv), 149.23 KB)
MD5:9d976d58668a465493ae70cc8ebc6464
Primary data file for dataset ID 861378

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Supplemental Files

File
EN640_Nutrients_Processing_Notes.pdf
(Portable Document Format (.pdf), 777.34 KB)
MD5:6529d636c356d947e0a0c98e37ec1d9f
Processing notes for the EN640 Nutrients data, including representative SeaBird header file.

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Parameters

ParameterDescriptionUnits
FileName

Original name of data file

unitless
Cruise

Cruise identifier

unitless
Station

Station number

unitless
StnEvent

Numeric identifier for each deployment in the format SSS.EE, where SSS is the station number and EE identifies the specific sampling event

unitless
BottleID

Bottle identifier (station, event, bottle)

unitless
Bottle

Bottle number

unitless
ISO_DateTime_UTC

Date and time (UTC) in ISO8601 format: YYYY-MM-DDThh:mm:ssZ

unitless
Date

Date (UTC) in format YYYY-MM-DD

unitless
Time

Time (UTC) in format hh:mm:ss

unitless
Sal00

Salinity, Practical

PSU
Sal11

Salinity, Practical, 2

PSU
Sigma_t00

Density [sigma-theta]

kilograms per cubic meter (kg/m^3)
Sigma_t11

Density, 2 [sigma-theta]

kilograms per cubic meter (kg/m^3)
Oxsat

O2 saturation

Mm/Kg
Sbeox0

Oxygen, SBE 43, WS = 2

micromoles per liter (umol/L)
Sbeox1

Oxygen, SBE 43, 2, WS = 2

micromoles per liter (umol/L)
Potemp090

Potential Temperature [ITS-90]

degrees Celsius
Potemp190

Potential Temperature, 2 [ITS-90]

degrees Celsius
SvCM

Sound Velocity [Chen-Millero]

meters per second (m/s)
SvCM1

Sound Velocity, 2 [Chen-Millero]

meters per second (m/s)
Scan

Scan count

unitless
Scan_SD

Standard deviation of Scan

unitless
TimeJ

Julian day (UTC)

unitless
TimeJ_SD

Standard deviation of TimeJ

unitless
TimeS

Time elapsed

seconds
TimeS_SD

Standard deviation of TimeS

seconds
PrDM

Pressure, Digiquartz

decibars (db)
PrDM_SD

Standard deviation of PrDM

decibars (db)
DepSM

Depth [salt water, m]

meters (m)
DepSM_SD

Standard deviation of DepSM

meters (m)
T090C

Temperature [ITS-90]

degrees Celsius
T090C_SD

Standard deviation of T090C

degrees Celsius
T190C

Temperature, 2 [ITS-90]

degrees Celsius
T190C_SD

Standard deviation of T190C

degrees Celsius
T2_T190C

Temperature Difference, 2 - 1 [ITS-90]

degrees Celsius
T2_T190C_SD

Standard deviation of T2_T190C

degrees Celsius
C0S

Conductivity

Siemens per meter (S/m)
C0S_SD

Standard deviation of C0S

Siemens per meter (S/m)
C1S

Conductivity, 2

Siemens per meter (S/m)
C1S_SD

Standard deviation of C1S

Siemens per meter (S/m)
C2_C1

Conductivity Difference, 2 - 1

Siemens per meter (S/m)
C2_C1_SD

Standard deviation of C2_C1

Siemens per meter (S/m)
V0

Voltage 0

volts (V)
V0_SD

Standard deviation of V0

volts (V)
CStarAt0

Beam Attenuation, WET Labs C-Star

reciprocal meters (1/m)
CStarAt0_SD

Standard deviation of CStarAt0

reciprocal meters (1/m)
CStarTr0

Beam Transmission, WET Labs C-Star

percent (%)
CStarTr0_SD

Standard deviation of CStarTr0

percent (%)
V1

Voltage 1

volts (V)
V1_SD

Standard deviation of V1

volts (V)
FlECO_AFL

Fluorescence, WET Labs ECO-AFL/FL

milligrams per cubic meter (mg/m^3)
FlECO_AFL_SD

Standard deviation of FlECO_AFL

milligrams per cubic meter (mg/m^3)
V2

Voltage 2

volts (V)
V2_SD

Standard deviation of V2

volts (V)
AltM

Altimeter

meters (m)
AltM_SD

Standard deviation of AltM

meters (m)
V3

Voltage 3

volts (V)
V3_SD

Standard deviation of V3

volts (V)
Par

PAR/Irradiance, Biospherical/Licor

micromoles photons per square meter per second (umol photons/m^2/sec)
Par_SD

Standard deviation of Par

micromoles photons per square meter per second (umol photons/m^2/sec)
V4

Voltage 4

volts (V)
V4_SD

Standard deviation of V4

volts (V)
Sbeox0V

Oxygen raw, SBE 43

volts (V)
Sbeox0V_SD

Standard deviation of Sbeox0V

volts (V)
V5

Voltage 5

volts (V)
V5_SD

Standard deviation of V5

volts (V)
Sbeox1V

Oxygen raw, SBE 43, 2

volts (V)
Sbeox1V_SD

Standard deviation of Sbeox1V

volts (V)
V6

Voltage 6

volts (V)
V6_SD

Standard deviation of V6

volts (V)
V7

Voltage 7

volts (V)
V7_SD

Standard deviation of V7

volts (V)
Spar

SPAR Biospherical/Licor

micromoles photons per square meter per second (umol photons/m^2/sec)
Spar_SD

Standard deviation of Spar

micromoles photons per square meter per second (umol photons/m^2/sec)
Latitude

Latitude

degrees North
Latitude_SD

Standard deviation of Latitude

degrees North
Longitude

Longitude

degrees East
Longitude_SD

Standard deviation of Longitude

degrees East
Mean_PO4

dissolved, inorganic phosphate

micromolar (uM)
Mean_Si

dissolved, inorganic silicate

micromolar (uM)
Mean_NO3_NO2

dissolved, inorganic nitrate/nitrite

micromolar (uM)
Mean_NO2

dissolved, inorganic nitrite

micromolar (uM)
Mean_N_star

deviation of NO3/NO2 relative to PO4 from the Redfield Ratio

unitless


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Instruments

Dataset-specific Instrument Name
Generic Instrument Name
CTD Sea-Bird SBE 911plus
Dataset-specific Description
Hydrographic data and water samples were collected during casts with a CTD-rosette system (SBE11plus equipped with a fluorometer, transmissometer, oxygen sensor, and a PAR sensor). Individual sensor details and calibration info provided in the "EN614_Nutrients_Processing_Notes.pdf" Supplemental File.
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
Biospherical/Licor
Generic Instrument Name
LI-COR Biospherical PAR Sensor
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.

Dataset-specific Instrument Name
Niskin bottles attached to CTD-rosette system
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
Lachat Quikchem 8500 Series 2
Generic Instrument Name
Nutrient Autoanalyzer
Dataset-specific Description
Lachat Quikchem 8500 Series 2, with ASX-260 autosampler, manufactured by Lachat Instruments a Hach company brand
Generic Instrument Description
Nutrient Autoanalyzer is a generic term used when specific type, make and model were not specified. In general, a Nutrient Autoanalyzer is an automated flow-thru system for doing nutrient analysis (nitrate, ammonium, orthophosphate, and silicate) on seawater samples.

Dataset-specific Instrument Name
SBE 43
Generic Instrument Name
Sea-Bird SBE 43 Dissolved Oxygen Sensor
Generic Instrument Description
The Sea-Bird SBE 43 dissolved oxygen sensor is a redesign of the Clark polarographic membrane type of dissolved oxygen sensors. more information from Sea-Bird Electronics

Dataset-specific Instrument Name
WET Labs ECO-AFL/FL
Generic Instrument Name
Wet Labs ECO-AFL/FL Fluorometer
Generic Instrument Description
The Environmental Characterization Optics (ECO) series of single channel fluorometers delivers both high resolution and wide ranges across the entire line of parameters using 14 bit digital processing. The ECO series excels in biological monitoring and dye trace studies. The potted optics block results in long term stability of the instrument and the optional anti-biofouling technology delivers truly long term field measurements. more information from Wet Labs

Dataset-specific Instrument Name
WET Labs C-Star
Generic Instrument Name
WET Labs {Sea-Bird WETLabs} C-Star transmissometer
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

EN640

Website
Platform
R/V Endeavor
Start Date
2019-06-13
End Date
2019-07-08
Description
See more information from the Rolling Deck to Repository (R2R): https://www.rvdata.us/search/cruise/EN640


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Project Information

Collaborative Research: Impact of the Amazon River Plume on Nitrogen Availability and Planktonic Food Web Dynamics in the Western Tropical North Atlantic (Amazon River Plume Nitrogen)

Coverage: Amazon River plume


NSF Award Abstract:
This is a focused program of field research in waters of the Western Tropical North Atlantic influenced by the Amazon River Plume during the high river flow season. The Amazon Plume region supports diverse plankton communities in a dynamic system driven by nutrients supplied by transport from the river proper as well as nutrients entrained from offshore waters by physical mixing and upwelling. This creates strong interactions among physical, chemical, and biological processes across a range of spatial and temporal scales. The field program will link direct measurements of environmental properties with focused experimental studies of nutrient supply and nutrient limitation of phytoplankton, as well as the transfer of phytoplankton nitrogen to the zooplankton food web. The Amazon Plume exhibits a close juxtaposition of distinct communities during the high-flow season, making it an ideal site for evaluating how nutrient availability, nutrient supply, and habitat longevity interact to drive offshore ecosystem dynamics and function. This project will include German collaborators and will seamlessly integrate education and research efforts. The investigators and their institutions have a strong commitment to undergraduate and graduate education and to increasing the diversity of the ocean science community through active recruiting and training efforts. The team has a strong track record of involving both undergraduate and graduate students in their field and lab research. The two research cruises planned will provide opportunities for students and technicians to interact with an interdisciplinary and international research team.

The ultimate objectives of this project are to understand the processes and interactions that promote distinct communities of nitrogen-fixing organisms (diazotrophs) and other phytoplankton around the Amazon Plume and to explore the impacts of these diazotroph-rich communities on zooplankton biomass and production. The research team includes scientists with expertise in nutrient and stable isotope biogeochemistry, remote sensing as well as specialists in characterizing water mass origin and history using naturally occurring radium isotopes. This combination of approaches will provide a unique opportunity to address fundamental questions related to plankton community structure, primary production, and links to secondary production in pelagic ecosystems. The project will address the following key questions focused on fundamental issues in plankton ecology resulting from previous research in this region:

A. What mechanisms promote the preferential delivery of bioavailable phosphorus and the resulting strong nitrogen limitation associated with the northern reaches of the Amazon Plume during the high flow season?

B. What factors lead to the clear niche separation between diazotrophs within and around the Amazon Plume and how are the distinct diazotroph communities influenced by hydrographic and biogeochemical controls associated with the Amazon River Plume and offshore upwelling processes?

C. How does the nitrogen fixed by the different types of diazotrophs contribute to secondary production, and how efficiently does diazotroph nitrogen move through the food web?



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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