Contributors | Affiliation | Role |
---|---|---|
Montoya, Joseph | Georgia Institute of Technology (GA Tech) | Chief Scientist |
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 were collected during casts with a CTD-rosette system (SBE11plus) equipped with a fluorometer, transmissometer, oxygen sensor, and a PAR sensor.
Data Processing:Data were processed using SeaSave v 7.26.7.107. See Supplemental File "EN640_CTD_Sea-Bird_File_Header" (PDF) for a representative file header, which includes the SeaSave processing steps. Refer to Supplemental File "EN640_CTD_Data_Notes" (PDF) for Excel processing notes.
BCO-DMO Processing:
- converted date/time fields to ISO8601 format;
- renamed fields to comply with BCO-DMO naming conventions.
File |
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EN640_Bottles.csv (Comma Separated Values (.csv), 633.46 KB) MD5:1c0bf29922929f478e0e1da00a82cb4e Primary data file for dataset ID 846628 |
File |
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EN640_CTD_Data_Notes.pdf (Portable Document Format (.pdf), 406.71 KB) MD5:b850ad1a5b6039ef52aa625444aa4b5b Processing notes describing the steps taken to compile data from the .btl files into the Excel file that was submitted to BCO-DMO. |
EN640_CTD_Sea-Bird_File_Header.pdf (Portable Document Format (.pdf), 316.07 KB) MD5:b500ac9a4eb949d9264b0b10299ce46d Representative Sea-Bird header file for the CTD casts conducted on cruise EN640. Includes sensor calibration information and SeaSave processing steps. |
Parameter | Description | Units |
FileName | Original name of data file | unitless |
Cruise | Cruise identifer | unitless |
Station | Station number | unitless |
StnEvent | Numeric identifier for each deployment in the format SSS.EE. 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 |
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) |
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) |
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_m | Conductivity | Siemens per meter (S/m) |
C0S_m_SD | Standard deviation of C0S_m | Siemens per meter (S/m) |
C1S_m | Conductivity, 2 | Siemens per meter (S/m) |
C1S_m_SD | Standard deviation of C1S_m | Siemens per meter (S/m) |
C2_C1S_m | Conductivity Difference, 2 - 1 | Siemens per meter (S/m) |
C2_C1S_m_SD | Standard deviation of C2_C1S_m | 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 FIECO_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 |
Dataset-specific Instrument Name | Seabird SBE 11plus v5.2 |
Generic Instrument Name | CTD Sea-Bird |
Generic Instrument Description | Conductivity, Temperature, Depth (CTD) sensor package from SeaBird Electronics, no specific unit identified. This instrument designation is used when specific make and model are not known. See also other SeaBird instruments listed under CTD. More information from Sea-Bird Electronics. |
Dataset-specific Instrument Name | PAR/Irradiance & SPAR, 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 | |
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 | Oxygen, 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 | Fluorometer, 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 | Transmissometer, 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 |
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 |
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) |