Contributors | Affiliation | Role |
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Montoya, Joseph | Georgia Institute of Technology (GA Tech) | Principal Investigator |
Peterson, Richard N. | Coastal Carolina University | Co-Principal Investigator |
Subramaniam, Ajit | Lamont-Doherty Earth Observatory (LDEO) | Co-Principal Investigator |
Rauch, Shannon | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Hydrographic data 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-ProfileNotes" supplemental document.
Data were processed using SeaSave v 7.26.7.107.
BCO-DMO Processing:
- modified parameter names (replaced ".", "-", and "/" with underscores; removed parentheses);
- renamed the second "DepSM" column to "DepSM2";
- replaced blank/empty cells with "nd" (no data);
- removed the blank rows interspersed throughout the file;
- in site names, replaced spaces with underscores and removed commas;
- saved the "en614-ProfileNotes" Excel sheet as a PDF to attach to metadata as a supplemental doc.
File |
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EN614_CTD.csv (Comma Separated Values (.csv), 6.67 MB) MD5:2fef61fb8c46241bc337325656536904 Primary data file for dataset ID 757784 |
File |
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EN614 Profile Processing Notes filename: en614-ProfileNotes.pdf (Portable Document Format (.pdf), 455.30 KB) MD5:5b65ec1581c30900108649ed2094e400 CTD file header and processing notes for EN614 CTD data from J. Montoya. |
Parameter | Description | Units |
Cruise | Cruise identifier | unitless |
Site | Site name | unitless |
Station | Station number | unitless |
Stn_Event | Station event number | unitless |
Filename | CTD file name | unitless |
Scan | Scan count | Unitless |
TimeJ | Julian days | unitless |
TimeS | Time, Elapsed | seconds |
Date_ODV | Date and time. Format: yyyy-mm-dd HH:MM | unitless |
PrDM | Pressure, Digiquartz | decibars (db) |
DepSM | Depth [salt water, m], lat = 8.34783 | meters (m) |
T090C | Temperature [ITS-90] | degrees Celsius |
T190C | Temperature, 2 [ITS-90] | degrees Celsius |
T2_T190C | Temperature Difference, 2 - 1 [ITS-90] | degrees Celsius |
C0S_m | Conductivity | Siemens per meter (S/m) |
C1S_m | Conductivity 2 | Siemens per meter (S/m) |
C2_C1S_m | Conductivity Difference, 2 - 1 | Siemens per meter (S/m) |
V0 | Voltage 0 | volts |
CStarAt0 | Beam Attenuation, WET Labs C-Star | reciprocal meters (1/m) |
CStarTr0 | Beam Transmission, WET Labs C-Star [%] | unitless (percent) |
V1 | Voltage 1 | volts |
FlECO_AFL | Fluorescence, WET Labs ECO-AFL/FL | milligrams per cubic meter (mg/m^3) |
V2 | Voltage 2 | volts |
AltM | Altimeter | meters (m) |
V3 | Voltage 3 | volts |
Par | PAR/Irradiance, Biospherical/Licor | micromoles photons per square meter per second (umol photons/m^2/sec) |
V4 | Voltage 4 | volts |
Sbeox0V | Oxygen raw, SBE 43 [V] | volts |
V5 | Voltage 5 | volts |
Sbeox1V | Oxygen raw, SBE 43, 2 [V] | volts |
V6 | Voltage 6 | volts |
V7 | Voltage 7 | volts |
Spar | SPAR, Biospherical/Licor | micromoles photons per square meter per second (umol photons/m^2/sec) |
Pumps | Pump Status | unitless |
Latitude | Latitude | decimal degrees |
Longitude | Longitude | decimal degrees |
Sal00 | Salinity, Practical | PSU |
Sal11 | Salinity, Practical, 2 | PSU |
Sigma_00 | Density [sigma-theta] | kilograms per cubic meter (kg/m^3) |
Sigma_11 | Density, 2 [sigma-theta] | kilograms per cubic meter (kg/m^3) |
Sbeox0Mm_L | Oxygen, SBE 43, WS = 2 | micromoles per liter (umol/L) |
Sbeox1Mm_L | Oxygen, SBE 43, 2, WS = 2 | micromoles per liter (umol/L) |
Potemp090C | Potential Temperature [ITS-90] | degrees Celsius |
Potemp190C | 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) |
Dz_dtM | Descent Rate, WS = 2 | meters per second (m/s) |
Gpa | Geopotential Anomaly | joules per kilogram (J/kg) |
Nbin | Number of scans per bin | unitless |
Flag | Flag | unitless |
DepSM2 | Depth [salt water, m], lat = 8.34783 | meters |
Dataset-specific Instrument Name | Sea-Bird SBE 9, 11plus V 5.2 |
Generic Instrument Name | CTD Sea-Bird SBE 911plus |
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 |
Website | |
Platform | R/V Endeavor |
Start Date | 2018-05-06 |
End Date | 2018-06-01 |
Description | See additional cruise information from the Rolling Deck to Repository (R2R): https://www.rvdata.us/search/cruise/EN614 |
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?
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |