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Dataset Title:  Processed CTD data from R/V Kilo Moana cruise KM1312 in the Eastern North
Pacific Ocean from 2013-2013 (POWOW project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_518582)
Range: longitude = -158.2908 to -118.316°E, latitude = 21.391 to 46.6888°N, time = 2013-07-02T04:14:31Z to 2013-07-27T19:10:18Z
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  CTD_num {
    String bcodmo_name "unknown";
    String description "CTD number (sequential for the cruise).";
    String long_name "CTD Num";
    String units "unitless";
  }
  station {
    String bcodmo_name "station";
    String description "Station number (sequential based on location).";
    String long_name "Station";
    String units "unitless";
  }
  cast {
    String bcodmo_name "cast";
    String description "Cast number (sequential; starts at 01 for each new location/station number). Some cast numbers may be missing/skipped for a given station because of aborted casts.";
    String long_name "Cast";
    String units "unitless";
  }
  month_utc {
    String bcodmo_name "month_utc";
    String description "2-digit month of year, UTC, at start of cast.";
    String long_name "Month Utc";
    String units "mm (01 to 12)";
  }
  day_utc {
    String bcodmo_name "day_utc";
    String description "2-digit day of month, UTC, at start of cast.";
    String long_name "Day Utc";
    String units "dd (01 to 31)";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2013, 2013;
    String bcodmo_name "year";
    String description "4-digit year at start of cast. in the format YYYY";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  }
  time_start {
    String bcodmo_name "time_start";
    String description "Time (UTC) at start of CTD cast, 24-hour clock.";
    String long_name "Time Start";
    String units "HHMM";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 21.391, 46.6888;
    String axis "Y";
    String bcodmo_name "lat_start";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude at start of CTD cast. Positive = North.";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String source_name "lat_start";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -158.2908, -118.316;
    String axis "X";
    String bcodmo_name "lon_start";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude at start of CTD cast. Positive = East.";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String source_name "lon_start";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth_w {
    Int16 _FillValue 32767;
    Int16 actual_range 349, 6000;
    String bcodmo_name "depth_w";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth of the water (bottom depth).";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.372738471e+9, 1.374952218e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Date/Time (UTC) ISO8601 formatted. T indicates start of time string; Z indicates UTC.";
    String ioos_category "Time";
    String long_name "ISO Date Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String source_name "ISO_DateTime_UTC";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  press {
    Float64 _FillValue NaN;
    Float64 actual_range 1.0, 4502.0;
    String bcodmo_name "pressure";
    String description "Pressure, Digiquartz.";
    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 1.4854, 26.5629;
    String bcodmo_name "temperature";
    String description "Temperature from primary sensor, ITS-68, measured in degrees Celsius.";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees C";
  }
  temp2 {
    Float32 _FillValue NaN;
    Float32 actual_range 1.4841, 26.5595;
    String bcodmo_name "temp2";
    String description "Temperature from secondary sensor, ITS-68, measured in degrees Celsius.";
    String long_name "Temp2";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPS601/";
    String units "degrees C";
  }
  cond {
    Float32 _FillValue NaN;
    Float32 actual_range 3.134457, 5.502325;
    String bcodmo_name "conductivity";
    String description "Conductivity from primary sensor measured in Siemens per meter.";
    String long_name "Cond";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/CNDC/";
    String units "S/m";
  }
  cond2 {
    Float32 _FillValue NaN;
    Float32 actual_range 1.224634, 5.501779;
    String bcodmo_name "cond2";
    String description "Conductivity from secondary sensor measured in Siemens per meter.";
    String long_name "Cond2";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/CNDC/";
    String units "S/m";
  }
  O2_umol_kg {
    Float32 _FillValue NaN;
    Float32 actual_range 10.013, 282.413;
    String bcodmo_name "O2_umol_kg";
    String description "Oxygen measured by primary SBE 43 sensor in micromoles per kilogram.";
    String long_name "O2 Umol Kg";
    String units "umol/kg";
  }
  O2_umol_kg2 {
    Float32 _FillValue NaN;
    Float32 actual_range 8.228, 581.072;
    String bcodmo_name "O2_umol_kg";
    String description "Oxygen measured by secondary SBE 43 sensor in micromoles per kilogram.";
    String long_name "O2 Umol Kg2";
    String units "umol/kg";
  }
  fluor {
    Float32 _FillValue NaN;
    Float32 actual_range -0.2718, 31.0938;
    String bcodmo_name "fluorescence";
    String description "Fluorescence measured by WET Labs ECO-AFL/FL in milligrams per cubic meter.";
    String long_name "Fluor";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLPM01/";
    String units "mg/m^3";
  }
  fluor_spt {
    Float32 _FillValue NaN;
    Float32 actual_range 0.02544, 4.7961;
    String bcodmo_name "unknown";
    String description "Fluorescence, Seapoint.";
    String long_name "Fluor Spt";
    String units "?";
  }
  sal {
    Float32 _FillValue NaN;
    Float32 actual_range 32.5192, 35.504;
    String bcodmo_name "sal";
    String description "Salinity from primary sensor in practical salinity units.";
    String long_name "Sal";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "PSU";
  }
  sal2 {
    Float32 _FillValue NaN;
    Float32 actual_range 7.6564, 35.9911;
    String bcodmo_name "sal2";
    String description "Salinity from secondary sensor in practical salinity units.";
    String long_name "Sal2";
    String units "PSU";
  }
  sigma_0 {
    Float32 _FillValue NaN;
    Float32 actual_range 23.0269, 27.782;
    String bcodmo_name "sigma_0";
    String description "Sigma theta density from primary sensor in kilograms per cubic meter.";
    String long_name "Sigma 0";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SIGTPR01/";
    String units "kg/m^3";
  }
  sigma_0_2 {
    Float32 _FillValue NaN;
    Float32 actual_range 4.2525, 27.7851;
    String bcodmo_name "sigma_0";
    String description "Sigma theta density from secondary sensor in kilograms per cubic meter.";
    String long_name "Sigma 0 2";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SIGTPR01/";
    String units "kg/m^3";
  }
  potemp {
    Float32 _FillValue NaN;
    Float32 actual_range 1.1384, 26.5547;
    String bcodmo_name "potemp";
    String description "Potential temperature from primary sensor, ITS-90, measured in degrees Celsius.";
    String long_name "Potemp";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/POTMCV01/";
    String units "degrees C";
  }
  potemp2 {
    Float32 _FillValue NaN;
    Float32 actual_range 1.1375, 26.5577;
    String bcodmo_name "potential temperature 2";
    String description "Potential temperature from secondary sensor, ITS-90, measured in degrees Celsius.";
    String long_name "Potemp2";
    String units "degrees C";
  }
  beam_c {
    Float32 _FillValue NaN;
    Float32 actual_range -0.8581, 3.5252;
    String bcodmo_name "beam_c";
    String description "Beam attenuation measured by the WET Labs C-Star transmissometer.";
    String long_name "Beam C";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ATTNZZ01/";
    String units "1/m";
  }
  par {
    Float32 _FillValue NaN;
    Float32 actual_range 0.09414, 5656.6;
    String bcodmo_name "PAR";
    Float64 colorBarMaximum 70.0;
    Float64 colorBarMinimum 0.0;
    String description "PAR/Irradiance, Biospherical/Licor";
    String long_name "Downwelling Photosynthetic Photon Radiance In Sea Water";
    String units "?";
  }
  nbin {
    Byte _FillValue 127;
    Byte actual_range 0, 54;
    String bcodmo_name "nbin";
    String description "Number of scans per bin.";
    String long_name "Nbin";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Note: some cast numbers may be missing/skipped for a given station because of
aborted casts.
 
Header information from Sea-Bird SBE 9 Data File:  
 Software Version Seasave V 7.21k  
 Temperature SN = 1489; Conductivity SN = 1176  
 Number of Bytes Per Scan = 41; Number of Voltage Words = 4  
 Number of Scans Averaged by the Deck Unit = 1  
 SBE 11plus V 5.2  
 number of scans to average = 1; pressure baud rate = 9600; NMEA baud rate =
4800  
 GPIB address = 1  
 advance primary conductivity\\u00a0 0.073 seconds  
 advance secondary conductivity\\u00a0 0.073 seconds  
 autorun on power up is disabled  
 units = specified  
 name 0 = scan: Scan Count  
 name 1 = prDM: Pressure, Digiquartz [db]  
 name 2 = t068C: Temperature [ITS-68, deg C]  
 name 3 = c0S/m: Conductivity [S/m]  
 name 4 = sbeox0Mm/Kg: Oxygen, SBE 43 [umol/Kg]  
 name 5 = flECO-AFL: Fluorescence, WET Labs ECO-AFL/FL [mg/m^3]  
 name 6 = CStarAt0: Beam Attenuation, WET Labs C-Star [1/m]  
 name 7 = nbf: Bottles Fired  
 name 8 = sal00: Salinity, Practical [PSU]  
 name 9 = sigma-\\u00e900: Density [sigma-theta, Kg/m^3]  
 name 10 = potemp090C: Potential Temperature [ITS-90, deg C]  
 name 11 = scan: Scan Count  
 name 12 = t168C: Temperature, 2 [ITS-68, deg C]  
 name 13 = c1S/m: Conductivity, 2 [S/m]  
 name 14 = sbeox1Mm/Kg: Oxygen, SBE 43, 2 [umol/Kg]  
 name 15 = flSP: Fluorescence, Seapoint  
 name 16 = sal11: Salinity, Practical, 2 [PSU]  
 name 17 = sigma-\\u00e911: Density, 2 [sigma-theta, Kg/m^3]  
 name 18 = potemp168C: Potential Temperature, 2 [ITS-68, deg C]  
 name 19 = par: PAR/Irradiance, Biospherical/Licor  
 name 20 = nbin: number of scans per bin  
 name 21 = flag: flag  
 span 0 =6985, 37235\\u00a0\\u00a0\\u00a0\\u00a0 \\u00a0  
 span 1 =2.000, 800.000\\u00a0\\u00a0\\u00a0\\u00a0 \\u00a0  
 span 2 =5.0419, 26.5629\\u00a0\\u00a0\\u00a0\\u00a0 \\u00a0  
 span 3 =3.335783, 5.502325\\u00a0\\u00a0\\u00a0\\u00a0 \\u00a0  
 span 4 =31.444, 198.040\\u00a0\\u00a0\\u00a0\\u00a0 \\u00a0  
 span 5 =0.0100, 0.4971\\u00a0\\u00a0\\u00a0\\u00a0 \\u00a0  
 span 6 =-0.0571, 0.0100\\u00a0\\u00a0\\u00a0\\u00a0 \\u00a0  
 span 7 =0, 0\\u00a0\\u00a0\\u00a0\\u00a0 \\u00a0  
 span 8 =34.0618, 35.3564\\u00a0\\u00a0\\u00a0\\u00a0 \\u00a0  
 span 9 =23.0269, 27.2279\\u00a0\\u00a0\\u00a0\\u00a0 \\u00a0  
 span 10 =4.9751, 26.5547\\u00a0\\u00a0\\u00a0\\u00a0 \\u00a0  
 span 11 =6985, 37235\\u00a0\\u00a0\\u00a0\\u00a0 \\u00a0  
 span 12 =5.0415, 26.5595\\u00a0\\u00a0\\u00a0\\u00a0 \\u00a0  
 span 13 =3.335901, 5.501779\\u00a0\\u00a0\\u00a0\\u00a0 \\u00a0  
 span 14 =30.989, 206.103\\u00a0\\u00a0\\u00a0\\u00a0 \\u00a0  
 span 15 =5.1724e-02, 5.0659e-01\\u00a0\\u00a0\\u00a0\\u00a0 \\u00a0  
 span 16 =34.1016, 35.3541\\u00a0\\u00a0\\u00a0\\u00a0 \\u00a0  
 span 17 =23.0310, 27.2294\\u00a0\\u00a0\\u00a0\\u00a0 \\u00a0  
 span 18 =4.9758, 26.5577\\u00a0\\u00a0\\u00a0\\u00a0 \\u00a0  
 span 19 =9.5884e-02, 3.8336e+02\\u00a0\\u00a0\\u00a0\\u00a0 \\u00a0  
 span 20 =1, 47\\u00a0\\u00a0\\u00a0\\u00a0 \\u00a0  
 span 21 =0.0000e+00 0.0000e+00\\u00a0\\u00a0\\u00a0\\u00a0 \\u00a0  
 interval = decibars:
1\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0\\u00a0
\\u00a0  
 bad_flag = -9.990e-29  
 Sensors count=\\\"13\\\"  
 Sensor Channel 1: Frequency 0, Temperature; SensorID=55; Serial Number: 1489  
 Calibration Date: 01-Nov-12  
 UseG_J: 1  
 A: 0.00000000e+000; B: 0.00000000e+000; C: 0.00000000e+000; D:
0.00000000e+000; F0_Old: 0.000  
 G: 4.78324023e-003  
 H: 6.52533514e-004  
 I: 2.17843448e-005  
 J: 1.47229280e-006  
 F0: 1000.000  
 Slope: 1.00000000; Offset: 0.0000
 
Sensor Channel 2: Frequency1, Conductivity; Sensor ID=3; Serial Number: 1176  
 Calibration Date: 24-Oct-12  
 UseG_J: 1  
 <!-- Cell const and series R are applicable only for wide range sensors. -->  
 Series R: 0.0000  
 Cell Const: 2000.0000  
 Conductivity Type: 0  
 Coefficients equation=0  
 \\u00a0 A: 0.00000000e+000; B: 0.00000000e+000; C: 0.00000000e+000; D:
0.00000000e+000; M: 0.0  
 \\u00a0 CPcor: -9.57000000e-008  
 Coefficients equation=1  
 \\u00a0 G: -4.05760658e+000; H: 5.58151895e-001; I: 1.19301041e-004; J:
2.48712115e-005  
 \\u00a0 CPcor: -9.57000000e-008  
 \\u00a0 CTcor: 3.2500e-006  
 \\u00a0 <!-- WBOTC not applicable unless ConductivityType = 1. -->  
 \\u00a0\\u00a0\\u00a0 WBOTC: 0.00000000e+000  
 Slope: 1.00000000; Offset: 0.00000
 
Sensor Channel 3: Frequency2, Pressure, Digiquartz with TC; Sensor ID=45;
Serial Number: 0310  
 Calibration Date: 14-Aug-12  
 C1: -3.928393e+004; C2: 1.087860e+000; C3: 1.199240e-002  
 D1: 3.882500e-002; D2: 0.000000e+000  
 T1: 3.029977e+001; T2: 4.275780e-005; T3: 4.335010e-006; T4: 2.205920e-009  
 Slope: 0.99982291; Offset: -3.07238  
 T5: 0.000000e+000  
 AD590M: 1.151000e-002  
 AD590B: -8.749880e+000
 
Sensor Channel 4: Frequency3, Temperature, 2; Sensor ID=55; Serial Number:
1503  
 Calibration Date: 02-Apr-13  
 UseG_J: 1  
 A: 0.00000000e+000; B: 0.00000000e+000; C: 0.00000000e+000; D:
0.00000000e+000; F0_Old: 0.000  
 G: 4.35232305e-003  
 H: 6.46632031e-004  
 I: 2.24386514e-005  
 J: 1.95656353e-006  
 F0: 1000.000  
 Slope: 1.00000000; Offset: 0.0000
 
Sensor Channel 5: Frequency4, Conductivity, 2; Sensor ID=3; Serial Number:
3977  
 Calibration Date: 31-Jan-13  
 UseG_J: 1  
 <!-- Cell const and series R are applicable only for wide range sensors. -->  
 Series R: 0.0000  
 CellConst: 2000.0000  
 ConductivityType: 0  
 Coefficients equation=0  
 \\u00a0 A: 0.00000000e+000; B: 0.00000000e+000; C: 0.00000000e+000; D:
0.00000000e+000; M: 0.0  
 \\u00a0 CPcor: -9.57000000e-008  
 Coefficients equation=1  
 \\u00a0 G: -9.93055578e+000  
 \\u00a0 H: 1.32723802e+000  
 \\u00a0 I: -1.01831158e-003  
 \\u00a0 J: 1.37808089e-004  
 \\u00a0 CPcor: -9.57000000e-008  
 \\u00a0 CTcor: 3.2500e-006  
 \\u00a0 <!-- WBOTC not applicable unless ConductivityType = 1. -->  
 \\u00a0 WBOTC: 0.00000000e+000  
 Slope: 1.00000000; Offset: 0.00000
 
Sensor Channel 6: A/D voltage 0, Oxygen, SBE 43; Sensor ID=38; Serial Number:
2215  
 Calibration Date: 07-Aug-12  
 Use2007Equation: 1  
 CalibrationCoefficients equation=0  
 <!-- Coefficients for Owens-Millard equation. -->  
 \\u00a0 Boc: 0.0000  
 \\u00a0 Soc: 0.0000e+000  
 \\u00a0 offset: 0.0000  
 \\u00a0 Pcor: 0.00e+000  
 \\u00a0 Tcor: 0.0000  
 \\u00a0 Tau: 0.0  
 CalibrationCoefficients equation=1  
 <!-- Coefficients for Sea-Bird equation - SBE calibration in 2007 and later.
-->  
 \\u00a0 Soc: 5.1293e-001  
 \\u00a0 offset: -0.4912  
 \\u00a0 A: -2.3087e-003  
 \\u00a0 B: 5.6369e-005  
 \\u00a0 C: -1.0582e-006  
 \\u00a0 D0: 2.5826e+000  
 \\u00a0 D1: 1.92634e-004  
 \\u00a0 D2: -4.64803e-002  
 \\u00a0 E: 3.6000e-002  
 \\u00a0 Tau20: 2.0000  
 \\u00a0 H1: -3.3000e-002  
 \\u00a0 H2: 5.0000e+003  
 \\u00a0 H3: 1.4500e+003
 
Sensor Channel 7: A/D voltage 1, Oxygen, SBE 43, 2; Sensor ID=38; Serial
Number: 2194  
 Calibration Date: 28-Aug-12  
 Use2007Equation: 1  
 CalibrationCoefficients equation=0  
 <!-- Coefficients for Owens-Millard equation. -->  
 \\u00a0 Boc: 0.0000  
 \\u00a0 Soc: 0.0000e+000  
 \\u00a0 offset: 0.0000  
 \\u00a0 Pcor: 0.00e+000  
 \\u00a0 Tcor: 0.0000  
 \\u00a0 Tau: 0.0  
 CalibrationCoefficients equation=1  
 <!-- Coefficients for Sea-Bird equation - SBE calibration in 2007 and later.
-->  
 \\u00a0 Soc: 5.4510e-001  
 \\u00a0 offset: -0.5002  
 \\u00a0 A: -2.0842e-003  
 \\u00a0 B: 3.3140e-005  
 \\u00a0 C: -3.9685e-007  
 \\u00a0 D0: 2.5826e+000  
 \\u00a0 D1: 1.92634e-004  
 \\u00a0 D2: -4.64803e-002  
 \\u00a0 E: 3.6000e-002  
 \\u00a0 Tau20: 1.4500  
 \\u00a0 H1: -3.3000e-002  
 \\u00a0 H2: 5.0000e+003  
 \\u00a0 H3: 1.4500e+003
 
Sensor Channel 8: A/D voltage 2, Fluorometer, Seapoint; Sensor ID=11; Serial
Number: 2440  
 Calibration Date: 30-Apr-13  
 <!-- The following is an array index, not the actual gain setting. -->  
 GainSetting: 0; Offset: 0.000
 
Sensor Channel 9: A/D voltage 3, PAR/Irradiance, Biospherical/Licor; Sensor
ID=42; Serial Number: 70307  
 Calibration Date: 04-Feb-13  
 M: 1.00000000  
 B: 0.00000000  
 Calibration Constant: 10718113612.00428000  
 Multiplier: 1.00000000  
 Offset: 0.00083970
 
Sensor Channel 10: A/D voltage 4, Fluorometer, WET Labs ECO-AFL/FL; Sensor
ID=20; Serial Number: 1303  
 Calibration Date: 15-Mar-13  
 Scale Factor: 6.00000000e+000  
 <!-- Dark output -->  
 \\u00a0 Vblank: 0.0580
 
Sensor Channel 11: A/D voltage 5, Turbidity Meter, WET Labs, ECO-NTU; Sensor
ID=67; Serial Number: 1303  
 Calibration Date: 15-Mar-13  
 ScaleFactor: 2.000000  
 <!-- Dark output -->  
 \\u00a0 DarkVoltage: 0.083000
 
Sensor Channel 12: A/D voltage 6, Transmissometer, WET Labs C-Star; Sensor
ID=71; Serial Number: CST-1366DR  
 Calibration Date: 13-Mar-13  
 M: 21.5749  
 B: -0.0789  
 Path Length: 0.250
 
Sensor Channel13 : <!-- A/D voltage 7, Free -->
 
\\---------------------------------------------";
    String awards_0_award_nid "55018";
    String awards_0_award_number "OCE-1031064";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1031064";
    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 "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    String awards_1_award_nid "55019";
    String awards_1_award_number "OCE-1030518";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1030518";
    String awards_1_funder_name "NSF Division of Ocean Sciences";
    String awards_1_funding_acronym "NSF OCE";
    String awards_1_funding_source_nid "355";
    String awards_1_program_manager "David L. Garrison";
    String awards_1_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"CTD Profiles from POWOW3 cruise (KM1312) 
 PI: Zackary Johnson (Duke University) 
 Co-PI: Erik Zinser (University of Tennessee) 
 Version: 11 July 2014";
    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 "2014-07-11T17:27:24Z";
    String date_modified "2019-12-30T16:39:22Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.518582.1";
    Float64 Easternmost_Easting -118.316;
    Float64 geospatial_lat_max 46.6888;
    Float64 geospatial_lat_min 21.391;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -118.316;
    Float64 geospatial_lon_min -158.2908;
    String geospatial_lon_units "degrees_east";
    String history 
"2022-08-12T21:17:59Z (local files)
2022-08-12T21:17:59Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_518582.das";
    String infoUrl "https://www.bco-dmo.org/dataset/518582";
    String institution "BCO-DMO";
    String instruments_0_acronym "LI-COR Biospherical PAR";
    String instruments_0_dataset_instrument_nid "518654";
    String instruments_0_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.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0074/";
    String instruments_0_instrument_name "LI-COR Biospherical PAR Sensor";
    String instruments_0_instrument_nid "480";
    String instruments_0_supplied_name "LI-COR Biospherical PAR";
    String instruments_1_acronym "CTD SBE 9";
    String instruments_1_dataset_instrument_nid "518647";
    String instruments_1_description "The Sea-Bird SBE 9 is a type of CTD instrument package.  The SBE 9 is the Underwater Unit and is most often combined with the SBE 11 Deck Unit (for real-time readout using conductive wire) when deployed from a research vessel. The combination of the SBE 9 and SBE 11 is called a SBE 911.  The SBE 9 uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 and SBE 4). The SBE 9 CTD can be configured with auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorometer, altimeter, etc.). Note that in most cases, it is more accurate to specify SBE 911 than SBE 9 since it is likely a SBE 11 deck unit was used.  more information from Sea-Bird Electronics";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/130/";
    String instruments_1_instrument_name "CTD Sea-Bird 9";
    String instruments_1_instrument_nid "488";
    String instruments_1_supplied_name "CTD SBE 9";
    String instruments_2_acronym "SBE-43 DO";
    String instruments_2_dataset_instrument_nid "518651";
    String instruments_2_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";
    String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0036/";
    String instruments_2_instrument_name "Sea-Bird SBE 43 Dissolved Oxygen Sensor";
    String instruments_2_instrument_nid "552";
    String instruments_2_supplied_name "SBE-43 DO";
    String instruments_3_acronym "ECO AFL/FL";
    String instruments_3_dataset_instrument_nid "518648";
    String instruments_3_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";
    String instruments_3_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0172/";
    String instruments_3_instrument_name "Wet Labs ECO-AFL/FL Fluorometer";
    String instruments_3_instrument_nid "592";
    String instruments_3_supplied_name "ECO AFL/FL";
    String instruments_4_acronym "WL CSTAR Trans";
    String instruments_4_dataset_instrument_nid "518653";
    String instruments_4_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";
    String instruments_4_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0160/";
    String instruments_4_instrument_name "Wet Labs CSTAR Transmissometer";
    String instruments_4_instrument_nid "593";
    String instruments_4_supplied_name "WL CSTAR Trans";
    String keywords "active, altimetry, available, bco, bco-dmo, beam, beam_c, biological, cast, chemical, cond, cond2, conductivity, ctd, CTD_num, data, dataset, date, day, day_utc, depth, depth_w, dmo, downwelling, downwelling_photosynthetic_photon_radiance_in_sea_water, earth, Earth Science > Oceans > Ocean Optics > Photosynthetically Active Radiation, Earth Science > Oceans > Ocean Optics > Radiance, erddap, fluor, fluor_spt, iso, kg2, laboratory, latitude, longitude, management, month, month_utc, nbin, num, O2, O2_umol_kg, O2_umol_kg2, ocean, oceanography, oceans, office, optics, oxygen, par, photon, photosynthetic, photosynthetically, potemp, potemp2, preliminary, press, radiance, radiation, sal, sal2, satellite, science, sea, seawater, sigma, sigma_0, sigma_0_2, sonde, spt, start, station, temp2, temperature, time, time_start, umol, water, year";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/518582/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/518582";
    Float64 Northernmost_Northing 46.6888;
    String param_mapping "{'518582': {'press': 'flag - depth', 'lon_start': 'flag - longitude', 'ISO_DateTime_UTC': 'master - time', 'lat_start': 'flag - latitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/518582/parameters";
    String people_0_affiliation "Duke University";
    String people_0_person_name "Zackary I. Johnson";
    String people_0_person_nid "50749";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of Tennessee Knoxville";
    String people_1_affiliation_acronym "UTK";
    String people_1_person_name "Erik Zinser";
    String people_1_person_nid "51286";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Duke University";
    String people_2_person_name "Zackary I. Johnson";
    String people_2_person_nid "50749";
    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 "Shannon Rauch";
    String people_3_person_nid "51498";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "POWOW";
    String projects_0_acronym "POWOW";
    String projects_0_description 
"Project also known as 'Prochlorococcus Of Warming Ocean Waters' (POWOW).
The two numerically-dominant ecotypes of the marine cyanobacterium Prochlorococcus partition the surface ocean niche latitudinally, with ecotype eMIT9312 dominant in the 30 degree N to 30 degree S region and eMED4 dominant at higher latitudes. These ecotypes may account for 25-50% of primary production in open ocean ecosystems, but this percentage is dependent on which ecotype dominates. The relative abundance of the two ecotypes follows a log-linear relationship with temperature, with the transition from eMIT9312 to eMED4 occurring at approx. 18 degrees C. From these descriptive data, it has been hypothesized that temperature is the primary driver of relative abundance. Their contribution to net primary production, however, appears to be independent of temperature, suggesting temperature regulates ecotype dominance through photosynthesis-independent mechanisms.
To test these hypotheses, the PIs are undertaking a series of field and lab studies to investigate the effect of temperature change on the distribution of these ecotypes. Two cruises in the North Pacific will trace the transitions from eMIT9312- to eMED4-dominated regions, with one cruise during the winter and the other during summer. They have hypothesized that the ratio of ecotype abundance will move latitudinally with the seasonal shift in temperature gradient: migration of the 18 degrees C isotherm northward in the summer will be matched by a similar migration of the 1:1 ecotype transition point. Multiple crossings of the 18 degrees C isotherm are proposed, and the summer cruise will also follow the isotherm to the Western US coast to gain insight on physical and geochemical influences. Environmental variables such as nutrient concentrations, light/mixing depths, and virus /grazing based mortality, which may impinge on the relationship between temperature and ecotype ratio, will be assessed through a series of multivariate analyses of the collected suite of physical, chemical and biological data. Seasonal comparisons will be complemented with on-deck incubations and lab competition assays (using existing and new isolates) that will establish, for the first time, how fitness coefficients of these ecotypes relate to temperature. As latitudinal shifts in temperature gradient and migration of ecotypes during seasonal warming likely share common features with high latitude warming as a consequence of climate change, the investigator's analyses will contribute important biological parameters (e.g., abundances, production rates, temperature change coefficients) for modeling biological and biogeochemical responses to climate change. This research will be integrated with that of committed collaborators, generating data sufficient for ecosystem-scale characterizations of the contributions of temperature (relative to other forcing factors) in constraining the range and seasonal migration of these numerically dominant marine phototrophs.
Publications produced as result of this research:
Rowe, J.M., DeBruyn, J.M., Poorvin, L., LeCleir, G.R., Johnson, Z.I., Zinser, E.R., and Wilhelm, S.W. 2012. Viral and bacterial abundance and production in the Western Pacific Ocean and the relation to other oceanic realms. FEMS Microbiology Ecology, 72, p. 359. DOI: 10.1111/j.1574-6941.2011.01223.x
Morris, J.J., Lenski, R.E. and E.R. Zinser. 2012. The Black Queen Hypothesis: Evolution of Dependencies through Adaptive Gene Loss. mBio, 3, p. e00036-12. DOI: 10.1128/mBio.00036-12
Morris, J.J., Johnson, Z.I., Szul, M.J., Keller, M., and Zinser, E.R. 2011. Dependence of the cyanobacterium Prochlorococcus on hydrogen peroxide scavenging microbes for growth at the ocean's surface. PLoS One, 6(2), p. 16805. DOI:10.1371/journal.pone.0016805
Ringuet, S., Sassano, L., and Johnson, Z.I. 2011. A suite of microplate reader-based colorimetric methods to quantify ammonium, nitrate, orthophosphate and silicate concentrations for aquatic nutrient monitoring. Journal of Environmental Monitoring. DOI:10.1039/C0EM00290A
Ritchie, A.E. and Johnson, Z.I. 2012. Abundance and genetic diversity of aerobic anoxygenic phototrophic bacteria of coastal regions of the Pacific Ocean. Applied and Environmental Microbiology, 78, p. 2858. DOI: 10.1128/AEM.06268-11";
    String projects_0_end_date "2014-09";
    String projects_0_geolocation "Eastern North Pacific Ocean";
    String projects_0_name "Seasonal and decadal changes in temperature drive Prochlorococcus ecotype distribution patterns";
    String projects_0_project_nid "2237";
    String projects_0_project_website "http://oceanography.ml.duke.edu/johnson/research/powow/";
    String projects_0_start_date "2010-10";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 21.391;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "month_utc,year";
    String summary "Binned-profile CTD data from cruise KM1312 during July 2013. Data were processed with Sea-Bird SBE Data Processing Version 7.21K.";
    String time_coverage_end "2013-07-27T19:10:18Z";
    String time_coverage_start "2013-07-02T04:14:31Z";
    String title "Processed CTD data from R/V Kilo Moana cruise KM1312 in the Eastern North Pacific Ocean from 2013-2013 (POWOW project)";
    String version "1";
    Float64 Westernmost_Easting -158.2908;
    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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