Contributors | Affiliation | Role |
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Krause, Jeffrey W. | Dauphin Island Sea Lab (DISL) | Principal Investigator |
Brzezinski, Mark A. | University of California-Santa Barbara (UCSB) | Scientist |
York, Amber D. | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
This dataset contains temperature, conductivity, turbidity, fluorometry, and meteorological data from the Underway Data Acquisition System (UDAS) on the R/V Point Sur cruise PS13-12 between 2013-06-27 to 2013-07-05.
The Underway Data Acquisition System (UDAS) on the R/V Point Sur consists of a suite of meteorological and sea surface sensors sampling at ~ 1 Hz, the entire duration the vessel is away from the dock. A constant flow of seawater (originating from an intake on the ship's seachest, just below the sea surface, ~ 2.5m) feeds the sensors and drains into a sink/drain in the Main Lab where it may be sampled by scientists or plumbed to science supplied equipment. The meteorological sensors are located on the mast above the Wheelhouse. All data is interfaced and collected on one computer located in the ET lab, via SCS, a data collection application developed by NOAA.
Acquisition description source (Moss Landing Marine Laboratories): https://marineops.mlml.calstate.edu/PS-UDAS (now broken as of 2017-08-30)
Cleaning steps performed by data contributor before being sent to BCO-DMO:
- All daily csv files combined to master file.
- "-999" = "no data"
- All "NaN" turned to "-999"
- combined Latitude & Longitude degrees, minutes, seconds into Decimal degrees
-- Eliminated columns:
-- Ashtech GPS coordinates (No long data recorded)
-- Rel_STBD_WD (no dynamic range, nearly all data ~270)
-- Rel STBD WS (no dynamic range, all data 0)
-- As in original excel sheet the following were omitted: SSC, SWDI, LWDI, PIR PSP, PIR dome C, PIR case C, PIR V therm, AVG Circ C, Battery V
- Eliminated the following data points and changed to -999
- Air temp F (3 values, 449, 454, 486)
-- Air temp C (3 values, 231, 234, 252)
-- Solar radiation (2 values, 13934, 1991)
-- SST (94 values recorded from 68 to -83)
- Salinity (8 values >40)
-- Xmiss% (325 values, % <0)
-- Fluoro (1 value <0)
BCO-DMO Data Manager Processing Notes:
* added a conventional header with dataset name, PI name, version date (can't use spaces, slashes, percent signs)
* modified parameter names to conform with BCO-DMO naming conventions
* -999 values changed to "nd" for no data so they are recognized in our system
* ISO timestamp added based on YMD, and HMS fields
* SST, Salinity, SST_TSAL rounded to three decimal places, lat/lon rounded to 5 decimal places
File |
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UDAS.csv (Comma Separated Values (.csv), 5.16 MB) MD5:c378876cea0cae1893b61362f8c59db8 Primary data file for dataset ID 701571 |
Parameter | Description | Units |
Tag | Tag from acquisition system | unitless |
Call_Sign | Call sign | unitless |
YMD | Date (UTC) in format YYYYMMDD | unitless |
HMS | Time (UTC) in format HHMMSS | unitless |
ISO_DateTime_UTC | ISO timestamp based on the ISO 8601:2004(E) standard in format YYYY-mm-ddTHH:MM:SSZ (UTC) | unitless |
Lat_Furuno_Degree | Latitude | decimal degrees |
Lon_Furuno_Degree | Longitude | decimal degrees |
Ashtech_Heading | Ashtech Instrument | degrees |
Gyro_Heading | Ship's Gyroscope heading | degrees |
Average_Raw_Gyro | Ship's Gyroscoe heading (average of raw) | degrees |
COG | Course over ground | degrees |
SOG | Speed over ground | knots |
True_STBD_WD | True Starboard Wind Direction | degrees |
True_STBD_WS | True Starboard Wind Speed | knots |
Rel_PORT_WD | Relative Port Wind Direction | degrees |
Rel_PORT_WS | Relative Port Wind Speed | knots |
True_PORT_WD | True Port Wind Direction | degrees |
True_PORT_WS | True Port Wind Speed | knots |
Air_temp_F | Air temperature | Degrees Fahrenheit |
Air_temp_C | Air temperature | Degrees Celsius |
Barometer_mBar | Barometric pressure | millibars |
Barometer_in_Hg | Barometric pressure | inches of mercury |
Humidity_percent | Air humidity | relative percent |
Solar_radiation | Solar Radiation | W/m2 |
STW | Speed Through the Water | Knots |
SST | Sea Surface Temperature | degrees Celsius |
Salinity | Salinity | practical salinity units (PSU) |
SST_TSAL | Sea Surface Temperature used in salinity calculation | degrees Celsius |
Xmiss_V | Light transmission | volts (V) |
Xmiss_percent | Transmission | percent (%) |
Xmiss_BAC | Transmission Beam Attenuation Coefficient | per meter (1/m) |
SPAR_V | Surface Photosynthetically Active Radiation, PAR | volts (V) |
SPAR | Surface Photosynthetically Active Radiation, PAR | microeinsteins per square meter per second (uE/m2/s) |
Fluoro | Chlorophyll fluroescence | milligrams per meter cubed (mg/m3) |
Dataset-specific Instrument Name | Fluorometer Wetlabs ECO Chla |
Generic Instrument Name | Fluorometer |
Generic Instrument Description | A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ. |
Dataset-specific Instrument Name | Biospherical Par Model (QSR2200) |
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 | Wind Speed (RMYoung 05108) |
Generic Instrument Name | Meteorological Station |
Dataset-specific Description | R.M. Young company Heavy Duty Wind Monitor-HD Model 05108 |
Generic Instrument Description | MET station systems are designed to record meteorological information on board ships or mounted on moorings. These are commonly referred to as EMET (Electronic Meteorological Packages) or IMET (Improved Meteorological Packages) systems. These sensor packages record measurements of sea surface temperature and salinity, air temperature, wind speed and direction, barometric pressure, solar and long-wave radiation, humidity and precipitation. |
Dataset-specific Instrument Name | Air Temp/RH (RMYoung 41382) |
Generic Instrument Name | Meteorological Station |
Dataset-specific Description | R.M. Young Company Temperature Probes
Model 41342 |
Generic Instrument Description | MET station systems are designed to record meteorological information on board ships or mounted on moorings. These are commonly referred to as EMET (Electronic Meteorological Packages) or IMET (Improved Meteorological Packages) systems. These sensor packages record measurements of sea surface temperature and salinity, air temperature, wind speed and direction, barometric pressure, solar and long-wave radiation, humidity and precipitation. |
Dataset-specific Instrument Name | Barometer (RMYoung 61302) |
Generic Instrument Name | Meteorological Station |
Dataset-specific Description | R.M. Young Company Model 61302 Barometric Pressure Sensor |
Generic Instrument Description | MET station systems are designed to record meteorological information on board ships or mounted on moorings. These are commonly referred to as EMET (Electronic Meteorological Packages) or IMET (Improved Meteorological Packages) systems. These sensor packages record measurements of sea surface temperature and salinity, air temperature, wind speed and direction, barometric pressure, solar and long-wave radiation, humidity and precipitation. |
Dataset-specific Instrument Name | Li-Core Model Pyranometer (Radiation) |
Generic Instrument Name | Photosynthetically Available Radiation Sensor |
Generic Instrument Description | A PAR sensor measures photosynthetically available (or active) radiation. The sensor measures photon flux density (photons per second per square meter) within the visible wavelength range (typically 400 to 700 nanometers). PAR gives an indication of the total energy available to plants for photosynthesis. This instrument name is used when specific type, make and model are not known. |
Dataset-specific Instrument Name | Sea Water Temp/Salinity (SBE 21) |
Generic Instrument Name | Sea-Bird SeaCAT Thermosalinograph SBE 21 |
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 | Xmiss Wetlabs CST |
Generic Instrument Name | Transmissometer |
Dataset-specific Description | unknown if 25cm or 10cm |
Generic Instrument Description | A transmissometer measures the beam attenuation coefficient of the lightsource over the instrument's path-length. This instrument designation is used when specific manufacturer, make and model are not known. |
Website | |
Platform | R/V Point Sur |
Start Date | 2013-06-27 |
End Date | 2013-07-06 |
Description | Cruise DOI: 10.7284/903425 |
This study will examine the distribution of silica production among diatom species, using a novel combination of existing approaches, to evaluate the contributions of specific species or genera to total diatom silica production. Specific hypotheses regarding the distribution of silica production among species of diatoms will be tested by exploiting the strong contrasts in diatom community structure and silica production between a coastal upwelling system and in an oligotrophic subtropical gyre. Several lines of evidence support the idea that the diatoms responsible for the majority of silica production shifts from the most numerically abundant species in coastal systems to relatively rare, but very large, cells in offshore oligotrophic environments. This shift alters the role of diatoms in regional food webs and because many processes determining the role of phytoplankton groups in biogeochemical cycles are a function of cell size, such a shift has strong implications for regional differences in the contribution of diatoms to upper-ocean carbon cycling and the biological pump.
This study also seeks to understand of the role of silicon limitation in regulating diatom silica production at the species level. Si limitation of silica production has been detected in every system examined to date, ranging from the high Si waters of the Antarctic, to coastal upwelling systems and the oligotrophic subtropical gyres. Field studies of Si limitation are rarely accompanied by examination of the species present. When studies do have taxonomic data the lack of information on the performance of individual species makes it impossible to allocate the measured rates among cells, potentially leading to erroneous conclusions about the contribution of specific diatom groups to community composite rates.
The project will test five hypotheses. Each is related to the general theme of using species-specific data to improve understanding of the factors regulating diatoms' role in marine food webs. By combining bulk measures of silica production using the radioisotope 32Si with quantitative measures of silicon deposition rates by individual cells using the fluorescent probe 2-(4-pyridyl)-5((4-(2-dimethylaminoethyl-aminocarbamoyl)-methoxy)phenyl)oxazole, or PDMPO, the following will be determined: species-specific diatom contributions to total community silica production, regional differences in the distribution of silica production among diatom species as a function of cell size, species-specific kinetic parameters governing the ability of species to compete for dissolved silicon, and whether dominance of a particular diatom group or species can be explained by knowledge of their capacity to utilize Si and their numerical abundance (as opposed to other factors such as grazing or limitation by other nutrients).
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |