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Dataset Title:  CTD data from 9 casts at the oxygen-deficient zone of the Eastern Tropical
North Pacific (ETNP), RV/Atlantis cruise AT37-12, April-May 2017
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_739098)
Range: longitude = -104.3462 to -89.9996°E, latitude = 9.34142 to 14.03048°N, depth = 1.0 to 3238.0m
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  station {
    Byte _FillValue 127;
    Byte actual_range 1, 10;
    String bcodmo_name "station";
    String description "station identifier";
    String long_name "Station";
    String units "unitless";
  }
  date_start_UTC {
    String bcodmo_name "date";
    String description "date [UTC] at start of cast formatted as yyyy-mm-dd";
    String long_name "Date Start UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String source_name "date_start_UTC";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 9.34142, 14.03048;
    String axis "Y";
    String bcodmo_name "lat_start";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "cast start latitude; north is positive";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -104.3462, -89.9996;
    String axis "X";
    String bcodmo_name "lon_start";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "cast start longitude; east is positive";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth_bottom {
    Int16 _FillValue 32767;
    Int16 actual_range 2512, 3740;
    String bcodmo_name "depth_w";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "depth of water";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters";
  }
  time_start_UTC {
    String bcodmo_name "time_start";
    String description "time [UTC] at start of cast formatted as HH:MM:SS";
    String long_name "Time Start UTC";
    String units "unitless";
  }
  time_elapsed {
    Float64 _FillValue NaN;
    Float64 actual_range -9.99e-29, 10968.605;
    String bcodmo_name "time_elapsed";
    String description "Number of seconds elapsed from the start of the cast. Originally named 'timeS'.";
    String long_name "Time Elapsed";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ELTMZZZZ/";
    String units "seconds";
  }
  lon {
    Float64 _FillValue NaN;
    Float64 actual_range -104.34815, -9.99e-29;
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "latitude; north is positive. Originally named 'latitude'.";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "longitude";
    String units "decimal degrees";
  }
  lat {
    Float32 _FillValue NaN;
    Float32 actual_range -9.99e-29, 14.03274;
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "longitude; east is positive. Originally named 'longitude'.";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "latitude";
    String units "decimal degrees";
  }
  press {
    Float32 _FillValue NaN;
    Float32 actual_range -9.99e-29, 3281.7;
    String bcodmo_name "pressure";
    String description "Pressure. Originally named 'prDM'.";
    String long_name "Press";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PRESPR01/";
    String units "decibars";
  }
  temp {
    Float32 _FillValue NaN;
    Float32 actual_range -9.99e-29, 30.0737;
    String bcodmo_name "temperature";
    String description "Primary temperature measurement. Originally named 't090C'.";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
  temp_2 {
    Float32 _FillValue NaN;
    Float32 actual_range -9.99e-29, 30.0718;
    String bcodmo_name "temperature";
    String description "Secondary tempearture measurement. Originally named 't190C'.";
    String long_name "Temp 2";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
  cond {
    Float32 _FillValue NaN;
    Float32 actual_range -9.99e-29, 5.684972;
    String bcodmo_name "conductivity";
    String description "Primary conductivity measurement. Originally named 'c0S/m'.";
    String long_name "Cond";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/CNDC/";
    String units "Siemens/meter [S/m]";
  }
  cond_2 {
    Float32 _FillValue NaN;
    Float32 actual_range -9.99e-29, 5.68213;
    String bcodmo_name "conductivity";
    String description "Secondary conductivity measurement. Originally named 'c1S/m'.";
    String long_name "Cond 2";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/CNDC/";
    String units "Siemens/meter [S/m]";
  }
  trans {
    Float32 _FillValue NaN;
    Float32 actual_range -9.99e-29, 100.4446;
    String bcodmo_name "transmission";
    String description "Beam transmission expressed as percent. Originally named 'CStarTr0'.";
    String long_name "Trans";
    String units "unitless";
  }
  fluor {
    Float32 _FillValue NaN;
    Float32 actual_range -0.0662, 3.2573;
    String bcodmo_name "fluorescence";
    String description "Fluorescence measured by WET Labs ECO-AFL/FL in milligrams per cubic meter. Originally named 'flECO-AFL'.";
    String long_name "Fluor";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLPM01/";
    String units "milligrams/cubic meter [mg/m^3]";
  }
  turbidity {
    Float32 _FillValue NaN;
    Float32 actual_range -0.1533, -9.99e-29;
    String bcodmo_name "turbidity";
    String description "Turbidity measured by WET Labs ECO. Originally named 'turbWetntu0'.";
    String long_name "Turbidity";
    String units "NTU";
  }
  O2_v {
    Float32 _FillValue NaN;
    Float32 actual_range -9.99e-29, 2.7291;
    String bcodmo_name "O2_v";
    String description "Raw voltage from SBE43 oxygen sensor. Originally named 'Sbeox0V'.";
    String long_name "O2 V";
    String units "volts";
  }
  altitude_ {
    Float32 _FillValue NaN;
    Float32 actual_range -7.4, 148.34;
    String bcodmo_name "altitude";
    String description "Altimeter reading. Originally named 'altM'.";
    String long_name "Altitude";
    String units "meters";
  }
  bottles_fired {
    Float32 _FillValue NaN;
    Float32 actual_range -9.99e-29, 24.0;
    String bcodmo_name "bottle";
    String description "Number of bottle fired. Originally named 'nbf'.";
    String long_name "Bottles Fired";
    String units "unitless";
  }
  SPAR {
    Float32 _FillValue NaN;
    Float32 actual_range -9.99e-29, 7.15;
    String bcodmo_name "SPAR";
    String description "SPAR/Surface Irradiance. Originally named 'spar'.";
    String long_name "SPAR";
    String units "microEinsteins/meter^2/second";
  }
  temp_diff {
    Float32 _FillValue NaN;
    Float32 actual_range -9.1227, 0.4047;
    String bcodmo_name "temp_diff";
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum -10.0;
    String description "Temperature Difference. Originally named 'T2-T190C'.";
    String long_name "Temp Diff";
    String units "degrees Celsius";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 1.0, 3238.0;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth. Originally named 'depSM'.";
    String ioos_category "Location";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  density {
    Float64 _FillValue NaN;
    Float64 actual_range -9.99e-29, 1042.6558;
    String bcodmo_name "density";
    String description "Primary measure of density in kilograms per cubic meter. Originally named 'density00'.";
    String long_name "Density";
    String units "kilograms/cubic meter [kg/m^3]";
  }
  density_2 {
    Float64 _FillValue NaN;
    Float64 actual_range -9.99e-29, 1052.7065;
    String bcodmo_name "density";
    String description "Secondary measure of density in kilograms per cubic meter. Originally named 'density11'.";
    String long_name "Density 2";
    String units "kilograms/cubic meter [kg/m^3]";
  }
  sal {
    Float32 _FillValue NaN;
    Float32 actual_range -9.99e-29, 52.6288;
    String bcodmo_name "sal";
    String description "Primary salinity measurement. Originally named 'sal00'.";
    String long_name "Sal";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "practical salinity units [PSU]";
  }
  sal_2 {
    Float32 _FillValue NaN;
    Float32 actual_range -9.99e-29, 65.6863;
    String bcodmo_name "sal";
    String description "Secondary salinity measurement. Originally named 'sal11'.";
    String long_name "Sal 2";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "practical salinity units [PSU]";
  }
  sound_vel {
    Float32 _FillValue NaN;
    Float32 actual_range -9.99e-29, 1544.73;
    String bcodmo_name "sound_vel";
    String description "Sound velocity in meters per second. Originally named 'svCM'.";
    String long_name "Sound Vel";
    String units "meters/second [m/s]";
  }
  sound_vel_2 {
    Float32 _FillValue NaN;
    Float32 actual_range -9.99e-29, 1544.7;
    String bcodmo_name "sound_vel";
    String description "Sound velocity in meters per second from secondary sensor. Originally named 'svCM1'.";
    String long_name "Sound Vel 2";
    String units "meters/second [m/s]";
  }
  O2 {
    Float32 _FillValue NaN;
    Float32 actual_range -16.496, 209.498;
    String bcodmo_name "O2_umol_L";
    String description "Oxygen concentration from SBE 43. Originally named 'sbeox0Mm/L'.";
    String long_name "O2";
    String units "micromol/liter [umol/l]";
  }
  descent_rate {
    Float32 _FillValue NaN;
    Float32 actual_range -2.0, 1.731;
    String bcodmo_name "descent_rate";
    String description "Descent Rate. Originally named 'dz/dtM'.";
    String long_name "Descent Rate";
    String units "meters/second [m/s]";
  }
  flag {
    Float32 _FillValue NaN;
    Float32 actual_range -9.99e-29, 0.0;
    String bcodmo_name "q_flag";
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String description "Quality flag; bad flag = -9.99e-29.";
    String long_name "Flag";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Header information from Sea-Bird SBE 9 data files (sample from cast 1):  
 * Sea-Bird SBE 9 Data File:  
 * FileName = C:\\\\\\data\\\\\\ctd\\\\\\at3712001.hdr  
 * Software Version Seasave V 7.23.2  
 * Temperature SN = 4303  
 * Conductivity SN = 3009  
 * Number of Bytes Per Scan = 40  
 * Number of Voltage Words = 5  
 * Number of Scans Averaged by the Deck Unit = 1  
 * System UpLoad Time = Apr 25 2017 14:19:16  
 * NMEA Latitude = 14 01.97 N  
 * NMEA Longitude = 104 20.66 W  
 * NMEA UTC (Time) = Apr 25 2017 14:19:00  
 * Store Lat/Lon Data = Append to Every Scan  
 * System UTC = Apr 25 2017 14:19:16  
 # nquan = 26  
 # nvalues = 3003  
 # units = specified
 
# name 0 = timeS: Time, Elapsed [seconds]  
 # name 1 = longitude: Longitude [deg]  
 # name 2 = latitude: Latitude [deg]  
 # name 3 = prDM: Pressure, Digiquartz [db]  
 # name 4 = t090C: Temperature [ITS-90, deg C]  
 # name 5 = t190C: Temperature, 2 [ITS-90, deg C]  
 # name 6 = c0S/m: Conductivity [S/m]  
 # name 7 = c1S/m: Conductivity, 2 [S/m]  
 # name 8 = CStarTr0: Beam Transmission, WET Labs C-Star [%]  
 # name 9 = flECO-AFL: Fluorescence, WET Labs ECO-AFL/FL [mg/m^3]  
 # name 10 = turbWETntu0: Turbidity, WET Labs ECO [NTU]  
 # name 11 = sbeox0V: Oxygen raw, SBE 43 [V]  
 # name 12 = altM: Altimeter [m]  
 # name 13 = nbf: Bottles Fired  
 # name 14 = spar: SPAR/Surface Irradiance  
 # name 15 = T2-T190C: Temperature Difference, 2 - 1 [ITS-90, deg C]  
 # name 16 = depSM: Depth [salt water, m], lat = 14.0328  
 # name 17 = density00: Density [density, kg/m^3]  
 # name 18 = density11: Density, 2 [density, kg/m^3]  
 # name 19 = sal00: Salinity, Practical [PSU]  
 # name 20 = sal11: Salinity, Practical, 2 [PSU]  
 # name 21 = svCM: Sound Velocity [Chen-Millero, m/s]  
 # name 22 = svCM1: Sound Velocity, 2 [Chen-Millero, m/s]  
 # name 23 = sbeox0Mm/L: Oxygen, SBE 43 [umol/l], WS = 2  
 # name 24 = dz/dtM: Descent Rate [m/s], WS = 2  
 # name 25 = flag: flag
 
# span 0 = 10.777, 6384.982  
 # span 1 = -104.34815, -104.34439  
 # span 2 = 14.02820, 14.03274  
 # span 3 = 2.012, 1517.275  
 # span 4 = 3.0261, 29.5506  
 # span 5 = 3.0246, 29.5499  
 # span 6 = 3.203151, 5.633423  
 # span 7 = 3.202059, 5.631726  
 # span 8 = 97.9989, 100.2511  
 # span 9 = -0.0468, 1.1713  
 # span 10 = -0.1532, -0.1508  
 # span 11 = 0.5349, 2.6302  
 # span 12 = 19.15, 103.34  
 # span 13 = 0, 23  
 # span 14 = 3.2622e+00, 6.3235e+00  
 # span 15 = -0.5208, 0.1394  
 # span 16 = 2.000, 1503.000  
 # span 17 = 1021.1002, 1034.5674  
 # span 18 = 1021.0921, 1034.5583  
 # span 19 = 33.7034, 34.8581  
 # span 20 = 33.6949, 34.8381  
 # span 21 = 1485.17, 1543.87  
 # span 22 = 1485.17, 1543.86  
 # span 23 = 0.417, 206.650  
 # span 24 = -1.760, 1.703  
 # span 25 = 0.0000e+00, 0.0000e+00
 
# interval = meters: 1  
 # start_time = Apr 25 2017 14:19:00 [NMEA time, header]  
 # bad_flag = -9.990e-29
 
# <Sensors count=\"15\" >  
 # <sensor Channel=\"1\" >  
 # <!-- Frequency 0, Temperature -->  
 # <TemperatureSensor SensorID=\"55\" >  
 # <SerialNumber>4303</SerialNumber>  
 # <CalibrationDate>20-Jan-16</CalibrationDate>  
 # <UseG_J>1</UseG_J>  
 # <A>0.00000000e+000</A>  
 # <B>0.00000000e+000</B>  
 # <C>0.00000000e+000</C>  
 # <D>0.00000000e+000</D>  
 # <F0_Old>0.000</F0_Old>  
 # <G>4.38501054e-003</G>  
 # <H>6.47529902e-004</H>  
 # <I>2.19462935e-005</I>  
 # <J>1.64955605e-006</J>  
 # <F0>1000.000</F0>  
 # <Slope>1.00000000</Slope>  
 # <Offset>0.0000</Offset>  
 # </TemperatureSensor>  
 # </sensor>
 
# <sensor Channel=\"2\" >  
 # <!-- Frequency 1, Conductivity -->  
 # <ConductivitySensor SensorID=\"3\" >  
 # <SerialNumber>3009</SerialNumber>  
 # <CalibrationDate>20-Jan-16</CalibrationDate>  
 # <UseG_J>1</UseG_J>  
 # <!-- Cell const and series R are applicable only for wide range sensors.
-->  
 # <SeriesR>0.0000</SeriesR>  
 # <CellConst>2000.0000</CellConst>  
 # <ConductivityType>0</ConductivityType>  
 # <Coefficients equation=\"0\" >  
 # <A>0.00000000e+000</A>  
 # <B>0.00000000e+000</B>  
 # <C>0.00000000e+000</C>  
 # <D>0.00000000e+000</D>  
 # <M>0.0</M>  
 # <CPcor>-9.57000000e-008</CPcor>  
 # </Coefficients>  
 # <Coefficients equation=\"1\" >  
 # <G>-1.04864981e+001</G>  
 # <H>1.48778269e+000</H>  
 # <I>3.67673536e-004</I>  
 # <J>5.06417242e-005</J>  
 # <CPcor>-9.57000000e-008</CPcor>  
 # <CTcor>3.2500e-006</CTcor>  
 # <!-- WBOTC not applicable unless ConductivityType = 1. -->  
 # <WBOTC>0.00000000e+000</WBOTC>  
 # </Coefficients>  
 # <Slope>1.00000000</Slope>  
 # <Offset>0.00000</Offset>  
 # </ConductivitySensor>  
 # </sensor>
 
# <sensor Channel=\"3\" >  
 # <!-- Frequency 2, Pressure, Digiquartz with TC -->  
 # <PressureSensor SensorID=\"45\" >  
 # <SerialNumber>0749</SerialNumber>  
 # <CalibrationDate>08-Apr-14</CalibrationDate>  
 # <C1>-4.970438e+004</C1>  
 # <C2>-4.005750e-001</C2>  
 # <C3>1.365700e-002</C3>  
 # <D1>3.669600e-002</D1>  
 # <D2>0.000000e+000</D2>  
 # <T1>3.027760e+001</T1>  
 # <T2>-4.522040e-004</T2>  
 # <T3>4.002070e-006</T3>  
 # <T4>1.971140e-009</T4>  
 # <Slope>0.99992397</Slope>  
 # <Offset>-1.86008</Offset>  
 # <T5>0.000000e+000</T5>  
 # <AD590M>1.283700e-002</AD590M>  
 # <AD590B>-8.706643e+000</AD590B>  
 # </PressureSensor>  
 # </sensor>
 
# <sensor Channel=\"4\" >  
 # <!-- Frequency 3, Temperature, 2 -->  
 # <TemperatureSensor SensorID=\"55\" >  
 # <SerialNumber>4360</SerialNumber>  
 # <CalibrationDate>20-Jan-16</CalibrationDate>  
 # <UseG_J>1</UseG_J>  
 # <A>0.00000000e+000</A>  
 # <B>0.00000000e+000</B>  
 # <C>0.00000000e+000</C>  
 # <D>0.00000000e+000</D>  
 # <F0_Old>0.000</F0_Old>  
 # <G>4.36265052e-003</G>  
 # <H>6.49800036e-004</H>  
 # <I>2.30621342e-005</I>  
 # <J>1.84888934e-006</J>  
 # <F0>1000.000</F0>  
 # <Slope>1.00000000</Slope>  
 # <Offset>0.0000</Offset>  
 # </TemperatureSensor>  
 # </sensor>
 
# <sensor Channel=\"5\" >  
 # <!-- Frequency 4, Conductivity, 2 -->  
 # <ConductivitySensor SensorID=\"3\" >  
 # <SerialNumber>2707</SerialNumber>  
 # <CalibrationDate>20-Jan-16</CalibrationDate>  
 # <UseG_J>1</UseG_J>  
 # <!-- Cell const and series R are applicable only for wide range sensors.
-->  
 # <SeriesR>0.0000</SeriesR>  
 # <CellConst>2000.0000</CellConst>  
 # <ConductivityType>0</ConductivityType>  
 # <Coefficients equation=\"0\" >  
 # <A>0.00000000e+000</A>  
 # <B>0.00000000e+000</B>  
 # <C>0.00000000e+000</C>  
 # <D>0.00000000e+000</D>  
 # <M>0.0</M>  
 # <CPcor>-9.57000000e-008</CPcor>  
 # </Coefficients>  
 # <Coefficients equation=\"1\" >  
 # <G>-1.07265688e+001</G>  
 # <H>1.55946953e+000</H>  
 # <I>-1.31572164e-003</I>  
 # <J>1.86775491e-004</J>  
 # <CPcor>-9.57000000e-008</CPcor>  
 # <CTcor>3.2500e-006</CTcor>  
 # <!-- WBOTC not applicable unless ConductivityType = 1. -->  
 # <WBOTC>0.00000000e+000</WBOTC>  
 # </Coefficients>  
 # <Slope>1.00000000</Slope>  
 # <Offset>0.00000</Offset>  
 # </ConductivitySensor>  
 # </sensor>
 
# <sensor Channel=\"6\" >  
 # <!-- A/D voltage 0, Oxygen, SBE 43 -->  
 # <OxygenSensor SensorID=\"38\" >  
 # <SerialNumber>0072</SerialNumber>  
 # <CalibrationDate>16-Jan-16</CalibrationDate>  
 # <Use2007Equation>1</Use2007Equation>  
 # <CalibrationCoefficients equation=\"0\" >  
 # <!-- Coefficients for Owens-Millard equation. -->  
 # <Boc>0.0000</Boc>  
 # <Soc>0.0000e+000</Soc>  
 # <offset>0.0000</offset>  
 # <Pcor>0.00e+000</Pcor>  
 # <Tcor>0.0000</Tcor>  
 # <Tau>0.0</Tau>  
 # </CalibrationCoefficients>  
 # <CalibrationCoefficients equation=\"1\" >  
 # <!-- Coefficients for Sea-Bird equation - SBE calibration in 2007 and
later. -->  
 # <Soc>4.8025e-001</Soc>  
 # <offset>-0.5316</offset>  
 # <A>-4.2594e-003</A>  
 # <B> 2.1935e-004</B>  
 # <C>-3.0959e-006</C>  
 # <D0> 2.5826e+000</D0>  
 # <D1> 1.92634e-004</D1>  
 # <D2>-4.64803e-002</D2>  
 # <E> 3.6000e-002</E>  
 # <Tau20> 2.5000</Tau20>  
 # <H1>-3.3000e-002</H1>  
 # <H2> 5.0000e+003</H2>  
 # <H3> 1.4500e+003</H3>  
 # </CalibrationCoefficients>  
 # </OxygenSensor>  
 # </sensor>
 
# <sensor Channel=\"7\" >  
 # <!-- A/D voltage 1, Free -->  
 # </sensor>
 
# <sensor Channel=\"8\" >  
 # <!-- A/D voltage 2, Free -->  
 # </sensor>
 
# <sensor Channel=\"9\" >  
 # <!-- A/D voltage 3, Transmissometer, WET Labs C-Star -->  
 # <WET_LabsCStar SensorID=\"71\" >  
 # <SerialNumber>CST-1117</SerialNumber>  
 # <CalibrationDate>20May15, Field 8Mar17</CalibrationDate>  
 # <M>20.9850</M>  
 # <B>-0.1538</B>  
 # <PathLength>0.250</PathLength>  
 # </WET_LabsCStar>  
 # </sensor>
 
# <sensor Channel=\"10\" >  
 # <!-- A/D voltage 4, Fluorometer, WET Labs ECO-AFL/FL -->  
 # <FluoroWetlabECO_AFL_FL_Sensor SensorID=\"20\" >  
 # <SerialNumber>FLTURT-1013</SerialNumber>  
 # <CalibrationDate>2014-April-25</CalibrationDate>  
 # <ScaleFactor>6.00000000e+000</ScaleFactor>  
 # <!-- Dark output -->  
 # <Vblank>0.0870</Vblank>  
 # </FluoroWetlabECO_AFL_FL_Sensor>  
 # </sensor>
 
# <sensor Channel=\"11\" >  
 # <!-- A/D voltage 5, Turbidity Meter, WET Labs, ECO-NTU -->  
 # <TurbidityMeter SensorID=\"67\" >  
 # <SerialNumber>FLTURT-1013</SerialNumber>  
 # <CalibrationDate>2014 April 25</CalibrationDate>  
 # <ScaleFactor>0.080000</ScaleFactor>  
 # <!-- Dark output -->  
 # <DarkVoltage>2.000000</DarkVoltage>  
 # </TurbidityMeter>  
 # </sensor>
 
# <sensor Channel=\"12\" >  
 # <!-- A/D voltage 6, Altimeter -->  
 # <AltimeterSensor SensorID=\"0\" >  
 # <SerialNumber>PSA916-40852</SerialNumber>  
 # <CalibrationDate></CalibrationDate>  
 # <ScaleFactor>15.000</ScaleFactor>  
 # <Offset>0.000</Offset>  
 # </AltimeterSensor>  
 # </sensor>
 
# <sensor Channel=\"13\" >  
 # <!-- A/D voltage 7, Free -->  
 # </sensor>
 
# <sensor Channel=\"14\" >  
 # <!-- SPAR voltage, Unavailable -->  
 # </sensor>
 
# <sensor Channel=\"15\" >  
 # <!-- SPAR voltage, SPAR/Surface Irradiance -->  
 # <SPAR_Sensor SensorID=\"51\" >  
 # <SerialNumber>16500</SerialNumber>  
 # <CalibrationDate>March 28, 2013</CalibrationDate>  
 # <ConversionFactor>1641.85000000</ConversionFactor>  
 # <RatioMultiplier>1.00000000</RatioMultiplier>  
 # </SPAR_Sensor>  
 # </sensor>  
 # </Sensors>
 
# datcnv_date = Apr 25 2017 16:08:39, 7.23.2 [datcnv_vars = 16]  
 # datcnv_in = c:\\\\\\data\\\\\\ctd\\\\\\at3712001.hex
c:\\\\\\data\\\\\\ctd\\\\\\at3712001.XMLCON  
 # datcnv_skipover = 0  
 # datcnv_ox_hysteresis_correction = yes
 
# wildedit_date = Apr 25 2017 16:08:50, 7.23.2  
 # wildedit_in = c:\\\\\\data\\\\\\ctd\\\\\\process\\\\\\at3712001.cnv  
 # wildedit_pass1_nstd = 2.0  
 # wildedit_pass2_nstd = 20.0  
 # wildedit_pass2_mindelta = 2.000e+000  
 # wildedit_npoint = 100  
 # wildedit_vars = longitude latitude prDM t090C t190C c0S/m c1S/m CStarTr0
flECO-AFL turbWETntu0 sbeox0V altM spar T2-T190C  
 # wildedit_excl_bad_scans = yes  
 # alignctd_date = Apr 25 2017 16:08:57, 7.23.2  
 # alignctd_in = c:\\\\\\data\\\\\\ctd\\\\\\process\\\\\\at3712001.cnv  
 # alignctd_adv = c0S/m 0.073, c1S/m 0.073, sbeox0V 2.000  
 # celltm_date = Apr 25 2017 16:09:07, 7.23.2  
 # celltm_in = c:\\\\\\data\\\\\\ctd\\\\\\process\\\\\\at3712001.cnv  
 # celltm_alpha = 0.0300, 0.0300  
 # celltm_tau = 7.0000, 7.0000  
 # celltm_temp_sensor_use_for_cond = primary, secondary  
 # Derive_date = Apr 25 2017 16:09:13, 7.23.2 [derive_vars = 9]  
 # Derive_in = c:\\\\\\data\\\\\\ctd\\\\\\process\\\\\\at3712001.cnv
c:\\\\\\data\\\\\\ctd\\\\\\process\\\\\\at3712001.XMLCON  
 # derive_time_window_docdt = seconds: 2  
 # derive_ox_tau_correction = no  
 # derive_time_window_dzdt = seconds: 2  
 # binavg_date = Apr 25 2017 16:09:19, 7.23.2  
 # binavg_in = c:\\\\\\data\\\\\\ctd\\\\\\process\\\\\\at3712001.cnv  
 # binavg_bintype = meters  
 # binavg_binsize = 1  
 # binavg_excl_bad_scans = yes  
 # binavg_skipover = 0  
 # binavg_surface_bin = no, min = 1.000, max = 0.000, value = 0.000  
 # file_type = ascii
 
Further information on sensors:  
 sensor_channel,parameter,sensor_id,serial_number,instrument,calibration_date  
 1,Temperature_1,55,4303,nd,2016-01-20  
 2,Conductivity_1,3,3009,nd,2016-01-20  
 3,Pressure,45,0749,Digiquartz_with_TC,2014-04-08  
 4,Temperature_2,55,4360,nd,2016-01-20  
 5,Conductivity_2,3,2707,nd,2016-01-20  
 6,Oxygen,38,0072,SBE_43,2016-01-16  
 7,free,,,,  
 8,free,,,,  
 9,Transmissometer,71,CST-1117,WET_LabsCStar,20-May-15;_8-Mar-17  
 10,Fluorometer,20,FLTURT-1013,WetlabECO_AFL_FL_Sensor,2014-04-25  
 11,Turbidity,67,FLTURT-1013,WET_Labs,_ECO-NTU,2014-04-25  
 12,Altimeter,0,PSA916-40852,nd,  
 13,free,,,,  
 14,SPAR,,,Unavailable,  
 15,SPAR/Surface_Irradiance,50,16500,,2013-03-28";
    String awards_0_award_nid "685780";
    String awards_0_award_number "OCE-1559042";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1559042";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "Michael E. Sieracki";
    String awards_0_program_manager_nid "50446";
    String cdm_data_type "Other";
    String comment 
"CTD Data from Cruise R/V Atlantis 37-12 (AT37-12) 
   PI: S. Sievert (WHOI), A. Babin (MIT) 
   Version: 2018-06-21";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String date_created "2018-06-21T15:10:23Z";
    String date_modified "2020-01-03T17:00:53Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.739098.1";
    Float64 Easternmost_Easting -89.9996;
    Float64 geospatial_lat_max 14.03048;
    Float64 geospatial_lat_min 9.34142;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -89.9996;
    Float64 geospatial_lon_min -104.3462;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 3238.0;
    Float64 geospatial_vertical_min 1.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2021-10-24T06:01:22Z (local files)
2021-10-24T06:01:22Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_739098.das";
    String infoUrl "https://www.bco-dmo.org/dataset/739098";
    String institution "BCO-DMO";
    String instruments_0_acronym "CTD";
    String instruments_0_dataset_instrument_nid "739107";
    String instruments_0_description "The Conductivity, Temperature, Depth (CTD) unit is an integrated instrument package designed to measure the conductivity, temperature, and pressure (depth) of the water column.  The instrument is lowered via cable through the water column and permits scientists observe the physical properties in real time via a conducting cable connecting the CTD to a deck unit and computer on the ship. The CTD is often configured with additional optional sensors including fluorometers, transmissometers and/or  radiometers.  It is often combined with a Rosette of water sampling bottles (e.g. Niskin, GO-FLO) for collecting discrete water samples during the cast.  This instrument designation is used when specific make and model are not known.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/130/";
    String instruments_0_instrument_name "CTD profiler";
    String instruments_0_instrument_nid "417";
    String instruments_0_supplied_name "Sea-Bird SBE 9";
    String keywords "altimetry, altitude, atmosphere, bco, bco-dmo, biological, bottles, bottles_fired, chemical, cond, cond_2, data, dataset, date, density, density_2, depth, depth_bottom, descent, descent_rate, diff, dmo, earth, Earth Science > Atmosphere > Altitude > Station Height, elapsed, erddap, fired, flag, fluor, height, laboratory, lat_start, latitude, lon_start, longitude, management, O2, O2_v, oceanography, office, oxygen, preliminary, press, rate, sal, sal_2, satellite, science, sound, sound_vel, sound_vel_2, spar, start, station, temp_2, temp_diff, temperature, time, time_elapsed, time_start_UTC, trans, turbidity, v, vel";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/739098/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/739098";
    Float64 Northernmost_Northing 14.03048;
    String param_mapping "{'739098': {'depth': 'flag - depth', 'lon_start': 'flag - longitude', 'lat_start': 'flag - latitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/739098/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Stefan M Sievert";
    String people_0_person_nid "51416";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Massachusetts Institute of Technology";
    String people_1_affiliation_acronym "MIT-EAPS";
    String people_1_person_name "Andrew Babbin";
    String people_1_person_nid "738016";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Massachusetts Institute of Technology";
    String people_2_affiliation_acronym "MIT-EAPS";
    String people_2_person_name "Andrew Babbin";
    String people_2_person_nid "738016";
    String people_2_role "Contact";
    String people_2_role_type "related";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Nancy Copley";
    String people_3_person_nid "50396";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "vent O2 NO3 roles";
    String projects_0_acronym "vent O2 NO3 roles";
    String projects_0_description 
"NSF award abstract:
Deep-sea hydrothermal vents, first discovered in 1977, are exemplary ecosystems where microbial chemosynthesis rather than photosynthesis is the primary source of organic carbon. Chemosynthetic microorganisms use the energy generated by oxidizing reduced inorganic chemicals contained in the vent fluids, like hydrogen sulfide or hydrogen gas, to convert carbon dioxide (CO2) into cell material. By doing so, they effectively transfer the energy from a geothermal source to higher trophic levels, in the process supporting the unique and fascinating ecosystems that are characterized by high productivity - oases in the otherwise barren deep ocean landscape. While the general view of the functioning of these ecosystems is established, there are still major gaps in our understanding of the microbiology and biogeochemistry of these systems. Particularly lacking are studies measuring rates of microbial activity in situ, which is ultimately needed to understand production of these ecosystems and to assess their impact on global biogeochemical cycles. This project makes use of the Vent-Submersible Incubation Device (Vent-SID), a robotic micro-laboratory that was recently developed and tested in the field. This instrument makes it possible for the first time to determine rates of carbon fixation at both in situ pressures and temperatures, revolutionizing the way we conduct microbial biogeochemical investigations at deep-sea hydrothermal vents. This is an interdisciplinary and collaborative effort between two US and foreign institutions, creating unique opportunities for networking and to foster international collaborations. This will also benefit two graduate students working in the project, who will get exposed to a wide range of instrumentation and scientific fields, facilitating their interdisciplinary education. In collaboration with Dr. Nitzan Resnick, academic dean of The Sage School, an elementary school outreach program will be developed and a long-term partnership with the school established. Further, a cruise blog site to disseminate the research to schools and the broader public will be set up. The results will be the topic of media coverage as well as be integrated into coursework and webpages existing either in the PI's labs or at the institution.
This project is using a recently developed robotic micro-laboratory, the Vent-SID, to measure rates of chemoautotrophic production and to determine the relative importance of oxygen and nitrate in driving chemosynthesis at deep-sea hydrothermal vents at in situ pressures and temperatures and to tackle the following currently unresolved science objectives: 1) obtain in situ rates of chemoautotrophic carbon fixation, 2) obtain in situ nitrate reduction rate measurements, and 3) directly correlate the measurement of these processes with the expression of key genes involved in carbon and energy metabolism. Although recent data suggests that nitrate reduction either to N2 (denitrification) or to NH4+ (dissimilatory reduction of nitrate to ammonium) might be responsible for a significant fraction of chemoautotrophic production, NO3-reduction rates have never been measured in situ at hydrothermal vents. The researchers hypothesize that chemoautrophic growth is strongly coupled to nitrate respiration in vent microbial communities. During a cruise that will take place approximately 12 months into the project (~Feb 2017), the researchers will carry out a total of 4 deployments of the Vent-SID as well as ancillary sampling collection at the 9°46N to 9°53N segment of the East Pacific Rise. They will focus efforts on two diffuse-flow vent sites, \"Crab Spa\" and \"Teddy Bear\". \"Crab Spa\" is a diffuse flow vent site (T: 25°C) that has been used as a model system to gain insights into chemoautotrophic processes and has been frequently sampled over the last several years. This vent site has been very well characterized, both geochemically and microbiologically, providing excellent background data for the proposed process oriented studies. \"Teddy Bear\" is a diffuse-flow site that was discovered in Jan 2014, and it has a lower temperature (T: 12°C), making it a good comparative site. The researchers will perform a number of short duration time-course incubations to assess the role of different environmental parameters that have been identified as likely key variables (e.g., O2, temperature, NO3-), and to link these process rate measurements to the expression of functional genes using metatranscriptomic analyses. This study will be the first attempt to measure critical metabolic processes of hydrothermal vent microbial assemblages under critical in situ conditions and to assess the quantitative importance of electron donor and acceptor pathways in situ. In the future, it is envisioned that the Vent-SID will become a routine application by the oceanographic community for measuring time series rates of relevant metabolic processes at hydrothermal vents under in situ pressures and vent fluid temperatures.";
    String projects_0_end_date "2019-04";
    String projects_0_geolocation "Deep-Sea hydrothermal vent field at 9 deg N on the East Pacific Rise";
    String projects_0_name "Collaborative Research: Environmental Drivers of Chemoautotrophic Carbon Production at Deep-Sea Hydrothermal Vents - Comparative Roles of Oxygen and Nitrate";
    String projects_0_project_nid "685773";
    String projects_0_start_date "2016-05";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 9.34142;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "CTD data from Atlantis cruise AT37-12 in the Eastern Tropical North Pacific in April and May 2017. Data from 9 casts are included.";
    String title "CTD data from 9 casts at the oxygen-deficient zone of the Eastern Tropical North Pacific (ETNP), RV/Atlantis cruise AT37-12, April-May 2017";
    String version "1";
    Float64 Westernmost_Easting -104.3462;
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.


 
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