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
FileNameOriginal name of data file unitless
CruiseCruise identifier unitless
StationStation number unitless
StnEventNumeric identifier for each deployment in the format SSS.EE, where SSS is the station number and EE identifies the specific sampling event unitless
BottleIDBottle identifier (station, event, bottle) unitless
BottleBottle number unitless
ISO_DateTime_UTCDate and time (UTC) in ISO8601 format: YYYY-MM-DDThh:mm:ssZ unitless
DateDate (UTC) in format YYYY-MM-DD unitless
TimeTime (UTC) in format hh:mm:ss unitless
Sal00Salinity, Practical PSU
Sal11Salinity, Practical, 2 PSU
Sigma_t00Density [sigma-theta] kilograms per cubic meter (kg/m^3)
Sigma_t11Density, 2 [sigma-theta] kilograms per cubic meter (kg/m^3)
OxsatO2 saturation Mm/Kg
Sbeox0Oxygen, SBE 43, WS = 2 micromoles per liter (umol/L)
Sbeox1Oxygen, SBE 43, 2, WS = 2 micromoles per liter (umol/L)
Potemp090Potential Temperature [ITS-90] degrees Celsius
Potemp190Potential Temperature, 2 [ITS-90] degrees Celsius
SvCMSound Velocity [Chen-Millero] meters per second (m/s)
SvCM1Sound Velocity, 2 [Chen-Millero] meters per second (m/s)
ScanScan count unitless
Scan_SDStandard deviation of Scan unitless
TimeJJulian day (UTC) unitless
TimeJ_SDStandard deviation of TimeJ unitless
TimeSTime elapsed seconds
TimeS_SDStandard deviation of TimeS seconds
PrDMPressure, Digiquartz decibars (db)
PrDM_SDStandard deviation of PrDM decibars (db)
DepSMDepth [salt water, m] meters (m)
DepSM_SDStandard deviation of DepSM meters (m)
T090CTemperature [ITS-90] degrees Celsius
T090C_SDStandard deviation of T090C degrees Celsius
T190CTemperature, 2 [ITS-90] degrees Celsius
T190C_SDStandard deviation of T190C degrees Celsius
T2_T190CTemperature Difference, 2 - 1 [ITS-90] degrees Celsius
T2_T190C_SDStandard deviation of T2_T190C degrees Celsius
C0SConductivity Siemens per meter (S/m)
C0S_SDStandard deviation of C0S Siemens per meter (S/m)
C1SConductivity, 2 Siemens per meter (S/m)
C1S_SDStandard deviation of C1S Siemens per meter (S/m)
C2_C1Conductivity Difference, 2 - 1 Siemens per meter (S/m)
C2_C1_SDStandard deviation of C2_C1 Siemens per meter (S/m)
V0Voltage 0 volts (V)
V0_SDStandard deviation of V0 volts (V)
CStarAt0Beam Attenuation, WET Labs C-Star reciprocal meters (1/m)
CStarAt0_SDStandard deviation of CStarAt0 reciprocal meters (1/m)
CStarTr0Beam Transmission, WET Labs C-Star percent (%)
CStarTr0_SDStandard deviation of CStarTr0 percent (%)
V1Voltage 1 volts (V)
V1_SDStandard deviation of V1 volts (V)
FlECO_AFLFluorescence, WET Labs ECO-AFL/FL milligrams per cubic meter (mg/m^3)
FlECO_AFL_SDStandard deviation of FlECO_AFL milligrams per cubic meter (mg/m^3)
V2Voltage 2 volts (V)
V2_SDStandard deviation of V2 volts (V)
AltMAltimeter meters (m)
AltM_SDStandard deviation of AltM meters (m)
V3Voltage 3 volts (V)
V3_SDStandard deviation of V3 volts (V)
ParPAR/Irradiance, Biospherical/Licor micromoles photons per square meter per second (umol photons/m^2/sec)
Par_SDStandard deviation of Par micromoles photons per square meter per second (umol photons/m^2/sec)
V4Voltage 4 volts (V)
V4_SDStandard deviation of V4 volts (V)
Sbeox0VOxygen raw, SBE 43 volts (V)
Sbeox0V_SDStandard deviation of Sbeox0V volts (V)
V5Voltage 5 volts (V)
V5_SDStandard deviation of V5 volts (V)
Sbeox1VOxygen raw, SBE 43, 2 volts (V)
Sbeox1V_SDStandard deviation of Sbeox1V volts (V)
V6Voltage 6 volts (V)
V6_SDStandard deviation of V6 volts (V)
V7Voltage 7 volts (V)
V7_SDStandard deviation of V7 volts (V)
SparSPAR Biospherical/Licor micromoles photons per square meter per second (umol photons/m^2/sec)
Spar_SDStandard deviation of Spar micromoles photons per square meter per second (umol photons/m^2/sec)
LatitudeLatitude degrees North
Latitude_SDStandard deviation of Latitude degrees North
LongitudeLongitude degrees East
Longitude_SDStandard deviation of Longitude degrees East
Mean_PO4dissolved, inorganic phosphate micromolar (uM)
Mean_Sidissolved, inorganic silicate micromolar (uM)
Mean_NO3_NO2dissolved, inorganic nitrate/nitrite micromolar (uM)
Mean_NO2dissolved, inorganic nitrite micromolar (uM)
Mean_N_stardeviation of NO3/NO2 relative to PO4 from the Redfield Ratio unitless


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Instruments

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
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
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
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
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
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 CSTAR Transmissometer
Generic Instrument Description
A highly integrated opto-electronic design to provide a low cost, compact solution for underwater measurements of beam transmittance. The instrument is capable of either free space measurements, or through the use of an optical flow tube, flow-through sampling with a pump. It can be used in profiling, moored, or underway applications. more information from Wet Labs


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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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