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Dataset Title:  Environmental and physical data associated with ocean acidification microbe
adaptation from 2012-2014
  RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_700974)
Range: depth = 1.0 to 1.0m, time = 2012-07-03T10:30:00Z to 2014-12-31T10:30:00Z
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | Data Access Form | Files
 
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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  date {
    String description "Date of sampling; YYYY/MM/DD";
    String ioos_category "Time";
    String long_name "Date";
    String units "unitless";
  }
  time2 {
    String description "Time of sampling; HH:MM";
    String ioos_category "Time";
    String long_name "Time";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 1.0, 1.0;
    String axis "Z";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth ID";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  bacteriaA {
    Float64 _FillValue NaN;
    Float64 actual_range 1304895.1, 6349253.7;
    String description "Concentration of bacteria; Sample A; Includes Archaea and Prochlorococcus";
    String ioos_category "Unknown";
    String long_name "Bacteria A";
    String units "cells per milliliter";
  }
  bacteriaB {
    Float64 _FillValue NaN;
    String description "Concentration of bacteria; Sample B; Includes Archaea and Prochlorococcus";
    String ioos_category "Unknown";
    String long_name "Bacteria B";
    String units "cells per milliliter";
  }
  BarometricPressureA {
    Float32 _FillValue NaN;
    Float32 actual_range 995.2, 1037.8;
    Float64 colorBarMaximum 1050.0;
    Float64 colorBarMinimum 950.0;
    String description "Atomospheric (barometric) pressure; Sample A";
    String ioos_category "Pressure";
    String long_name "Air Pressure";
    String units "hectopascals";
  }
  BarometricPressureB {
    Float32 _FillValue NaN;
    Float32 actual_range 997.5, 1038.2;
    Float64 colorBarMaximum 1050.0;
    Float64 colorBarMinimum 950.0;
    String description "Atomospheric (barometric) pressure; Sample B";
    String ioos_category "Pressure";
    String long_name "Air Pressure";
    String units "hectopascals";
  }
  ChlExtractA {
    Float32 _FillValue NaN;
    Float32 actual_range 1.607, 11.809;
    String description "Extracted chlorophyll concentrations (greater than 0.22 um); Sample A";
    String ioos_category "Unknown";
    String long_name "Chl Extract A";
    String units "milligrams of chlorophyll a per meter cubed";
  }
  ChlExtractB {
    Float32 _FillValue NaN;
    Float32 actual_range 1.455, 11.989;
    String description "Extracted chlorophyll concentrations (greater than 0.22 um); Sample B";
    String ioos_category "Unknown";
    String long_name "Chl Extract B";
    String units "milligrams of chlorophyll a per meter cubed";
  }
  DICA {
    Float32 _FillValue NaN;
    Float32 actual_range 1693.5, 2147.1;
    String description "Dissolved inorganic carbon; Sample A";
    String ioos_category "Unknown";
    String long_name "DICA";
    String units "uM";
  }
  DICB {
    Float32 _FillValue NaN;
    Float32 actual_range 1680.4, 2149.1;
    String description "Dissolved inorganic carbon; Sample B";
    String ioos_category "Unknown";
    String long_name "DICB";
    String units "uM";
  }
  DICC {
    Float32 _FillValue NaN;
    Float32 actual_range 1680.5, 2148.6;
    String description "Dissolved inorganic carbon; Sample C";
    String ioos_category "Unknown";
    String long_name "DICC";
    String units "uM";
  }
  NH4A {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 4288;
    String description "Inorganic nutrient concentration; Sample A";
    String ioos_category "Dissolved Nutrients";
    String long_name "NH4 A";
    String units "uM";
  }
  NH4B {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 2531;
    String description "Inorganic nutrient concentration; Sample B";
    String ioos_category "Dissolved Nutrients";
    String long_name "NH4 B";
    String units "uM";
  }
  NH4C {
    Float64 _FillValue NaN;
    String description "Inorganic nutrient concentration; Sample C";
    String ioos_category "Dissolved Nutrients";
    String long_name "NH4 C";
    String units "uM";
  }
  NO2A {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.27;
    String description "Inorganic nutrient concentration; Sample A";
    String ioos_category "Dissolved Nutrients";
    String long_name "NO2 A";
    String units "uM";
  }
  NO2B {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.17;
    String description "Inorganic nutrient concentration; Sample B";
    String ioos_category "Dissolved Nutrients";
    String long_name "NO2 B";
    String units "uM";
  }
  NO2C {
    Float64 _FillValue NaN;
    String description "Inorganic nutrient concentration; Sample C";
    String ioos_category "Dissolved Nutrients";
    String long_name "NO2 C";
    String units "uM";
  }
  NO3A {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 1.3;
    String description "Inorganic nutrient concentration; Sample A";
    String ioos_category "Dissolved Nutrients";
    String long_name "NO3 A";
    String units "uM";
  }
  NO3B {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 2.133;
    String description "Inorganic nutrient concentration; Sample B";
    String ioos_category "Dissolved Nutrients";
    String long_name "NO3 B";
    String units "uM";
  }
  NO3C {
    Float64 _FillValue NaN;
    String description "Inorganic nutrient concentration; Sample C";
    String ioos_category "Dissolved Nutrients";
    String long_name "NO3 C";
    String units "uM";
  }
  OxygenA {
    Float32 _FillValue NaN;
    Float32 actual_range 5.41, 9.06;
    String description "Oxygen concentration; Sample A";
    String ioos_category "Dissolved O2";
    String long_name "Oxygen A";
    String units "uM";
  }
  OxygenB {
    Float32 _FillValue NaN;
    Float32 actual_range 5.48, 8.98;
    String description "Oxygen concentration; Sample B";
    String ioos_category "Dissolved O2";
    String long_name "Oxygen B";
    String units "uM";
  }
  OxygenSaturationA {
    Float32 _FillValue NaN;
    Float32 actual_range 82.2, 109.5;
    String description "Percent of theoretical saturation value for a given temperature salinity and pressure; Sample A";
    String ioos_category "Dissolved O2";
    String long_name "Oxygen Saturation A";
    String units "milligrams of oxygen per liter";
  }
  OxygenSaturationB {
    Float32 _FillValue NaN;
    Float32 actual_range 82.5, 105.7;
    String description "Percent of theoretical saturation value for a given temperature salinity and pressure; Sample B";
    String ioos_category "Dissolved O2";
    String long_name "Oxygen Saturation B";
    String units "milligrams of oxygen per liter";
  }
  pHT25A {
    Float64 _FillValue NaN;
    Float64 actual_range 7.6598548, 8.0638776;
    String description "pH measurement; Sample A";
    String ioos_category "Unknown";
    String long_name "P HT25 A";
    String units "pH";
  }
  pHT25B {
    Float64 _FillValue NaN;
    Float64 actual_range 7.7330709, 8.0670187;
    String description "pH measurement; Sample B";
    String ioos_category "Unknown";
    String long_name "P HT25 B";
    String units "pH";
  }
  pHT25C {
    Float64 _FillValue NaN;
    Float64 actual_range 7.7435431, 8.075057;
    String description "pH measurement; Sample C";
    String ioos_category "Unknown";
    String long_name "P HT25 C";
    String units "pH";
  }
  PICONumber {
    Int16 _FillValue 32767;
    Int16 actual_range 302, 632;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "Sample number";
    String ioos_category "Statistics";
    String long_name "PICONumber";
    String units "unitless";
  }
  PO4A {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.39;
    String description "Inorganic nutrient concentration; Sample A";
    String ioos_category "Dissolved Nutrients";
    String long_name "PO4 A";
    String units "uM";
  }
  PO4B {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.311;
    String description "Inorganic nutrient concentration; Sample B";
    String ioos_category "Dissolved Nutrients";
    String long_name "PO4 B";
    String units "uM";
  }
  PO4C {
    Float64 _FillValue NaN;
    String description "Inorganic nutrient concentration; Sample C";
    String ioos_category "Dissolved Nutrients";
    String long_name "PO4 C";
    String units "uM";
  }
  QbacteriaA {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Unknown";
    String long_name "Qbacteria A";
    String units "unitless";
  }
  QbacteriaB {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Unknown";
    String long_name "Qbacteria B";
    String units "unitless";
  }
  QBarometricPressureA {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    Float64 colorBarMaximum 1050.0;
    Float64 colorBarMinimum 950.0;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Pressure";
    String long_name "Air Pressure";
    String units "unitless";
  }
  QBarometricPressureB {
    Byte _FillValue 127;
    Byte actual_range -9, 1;
    Float64 colorBarMaximum 1050.0;
    Float64 colorBarMinimum 950.0;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Pressure";
    String long_name "Air Pressure";
    String units "unitless";
  }
  QChlExtractA {
    Byte _FillValue 127;
    Byte actual_range 1, 2;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Quality";
    String long_name "QChl Extract A";
    String units "unitless";
  }
  QChlExtractB {
    Byte _FillValue 127;
    Byte actual_range 1, 2;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Quality";
    String long_name "QChl Extract B";
    String units "unitless";
  }
  QDepth {
    Float64 _FillValue NaN;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Location";
    String long_name "QDepth";
    String units "unitless";
  }
  QDICA {
    Byte _FillValue 127;
    Byte actual_range 1, 2;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Unknown";
    String long_name "QDICA";
    String units "unitless";
  }
  QDICB {
    Byte _FillValue 127;
    Byte actual_range 1, 2;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Unknown";
    String long_name "QDICB";
    String units "unitless";
  }
  QDICC {
    Byte _FillValue 127;
    Byte actual_range 1, 2;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Unknown";
    String long_name "QDICC";
    String units "unitless";
  }
  QNH4A {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Dissolved Nutrients";
    String long_name "QNH4 A";
    String units "unitless";
  }
  QNH4B {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Dissolved Nutrients";
    String long_name "QNH4 B";
    String units "unitless";
  }
  QNH4C {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Dissolved Nutrients";
    String long_name "QNH4 C";
    String units "unitless";
  }
  QNO2A {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Dissolved Nutrients";
    String long_name "QNO2 A";
    String units "unitless";
  }
  QNO2B {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Dissolved Nutrients";
    String long_name "QNO2 B";
    String units "unitless";
  }
  QNO2C {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Dissolved Nutrients";
    String long_name "QNO2 C";
    String units "unitless";
  }
  QNO3A {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Dissolved Nutrients";
    String long_name "QNO3 A";
    String units "unitless";
  }
  QNO3B {
    Byte _FillValue 127;
    Byte actual_range 1, 2;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Dissolved Nutrients";
    String long_name "QNO3 B";
    String units "unitless";
  }
  QNO3C {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Dissolved Nutrients";
    String long_name "QNO3 C";
    String units "unitless";
  }
  QOxygenA {
    Byte _FillValue 127;
    Byte actual_range 1, 2;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Dissolved O2";
    String long_name "QOxygen A";
    String units "unitless";
  }
  QOxygenB {
    Byte _FillValue 127;
    Byte actual_range 1, 2;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Dissolved O2";
    String long_name "QOxygen B";
    String units "unitless";
  }
  QOxygenSaturationA {
    Byte _FillValue 127;
    Byte actual_range 1, 2;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Dissolved O2";
    String long_name "QOxygen Saturation A";
    String units "unitless";
  }
  QOxygenSaturationB {
    Byte _FillValue 127;
    Byte actual_range 1, 2;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Dissolved O2";
    String long_name "QOxygen Saturation B";
    String units "unitless";
  }
  QpHT25A {
    Byte _FillValue 127;
    Byte actual_range 1, 2;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Unknown";
    String long_name "Qp HT25 A";
    String units "unitless";
  }
  QpHT25B {
    Byte _FillValue 127;
    Byte actual_range 1, 2;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Unknown";
    String long_name "QP HT25 B";
    String units "unitless";
  }
  QpHT25C {
    Byte _FillValue 127;
    Byte actual_range 1, 2;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Unknown";
    String long_name "QP HT25 C";
    String units "unitless";
  }
  QPO4A {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Dissolved Nutrients";
    String long_name "QPO4 A";
    String units "unitless";
  }
  QPO4B {
    Byte _FillValue 127;
    Byte actual_range 1, 2;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Dissolved Nutrients";
    String long_name "QPO4 B";
    String units "unitless";
  }
  QPO4C {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Dissolved Nutrients";
    String long_name "QPO4 C";
    String units "unitless";
  }
  QSalinityAtagoA {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Salinity";
    String long_name "Sea Water Practical Salinity";
    String units "unitless";
  }
  QSalinityAtagoB {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Salinity";
    String long_name "Sea Water Practical Salinity";
    String units "unitless";
  }
  QSalinityPortasalA {
    Byte _FillValue 127;
    Byte actual_range 1, 2;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Salinity";
    String long_name "Sea Water Practical Salinity";
    String units "unitless";
  }
  QSalinityPortasalB {
    Byte _FillValue 127;
    Byte actual_range 1, 2;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Salinity";
    String long_name "Sea Water Practical Salinity";
    String units "unitless";
  }
  QSalinityPro30A {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Salinity";
    String long_name "Sea Water Practical Salinity";
    String units "unitless";
  }
  QSalinityPro30B {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Salinity";
    String long_name "Sea Water Practical Salinity";
    String units "unitless";
  }
  QSalinitySpyGlassA {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Salinity";
    String long_name "Sea Water Practical Salinity";
    String units "unitless";
  }
  QSalinitySpyGlassB {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Salinity";
    String long_name "Sea Water Practical Salinity";
    String units "unitless";
  }
  QSecchiDepthA {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Location";
    String long_name "QSecchi Depth A";
    String units "unitless";
  }
  QSecchiDepthB {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Location";
    String long_name "QSecchi Depth B";
    String units "unitless";
  }
  QSiOH4A {
    Byte _FillValue 127;
    Byte actual_range 1, 3;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Unknown";
    String long_name "QSi OH4 A";
    String units "unitless";
  }
  QSiOH4B {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Unknown";
    String long_name "QSi OH4 B";
    String units "unitless";
  }
  QSiOH4C {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Unknown";
    String long_name "QSi OH4 C";
    String units "unitless";
  }
  QTempBottleA {
    Byte _FillValue 127;
    Byte actual_range 1, 2;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Unknown";
    String long_name "QTemp Bottle A";
    String units "unitless";
  }
  QTempBottleB {
    Byte _FillValue 127;
    Byte actual_range 1, 2;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Unknown";
    String long_name "QTemp Bottle B";
    String units "unitless";
  }
  QTempPro30ProbeA {
    Byte _FillValue 127;
    Byte actual_range 1, 2;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Unknown";
    String long_name "QTemp Pro30 Probe A";
    String units "unitless";
  }
  QTempPro30ProbeB {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Unknown";
    String long_name "QTemp Pro30 Probe B";
    String units "unitless";
  }
  QTurbidityA {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Unknown";
    String long_name "QTurbidity A";
    String units "unitless";
  }
  QTurbidityB {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    String description "Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)";
    String ioos_category "Unknown";
    String long_name "QTurbidity B";
    String units "unitless";
  }
  SalinityAtagoA {
    Byte _FillValue 127;
    Byte actual_range 26, 35;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "Salinity measurement by instrument; Sample A";
    String ioos_category "Salinity";
    String long_name "Sea Water Practical Salinity";
    String units "PSU";
  }
  SalinityAtagoB {
    Byte _FillValue 127;
    Byte actual_range 26, 35;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "Salinity measurement by instrument; Sample B";
    String ioos_category "Salinity";
    String long_name "Sea Water Practical Salinity";
    String units "PSU";
  }
  SalinityPortasalA {
    Float32 _FillValue NaN;
    Float32 actual_range 24.261, 35.754;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "Salinity measurement by instrument; Sample A";
    String ioos_category "Salinity";
    String long_name "Sea Water Practical Salinity";
    String units "PSU";
  }
  SalinityPortasalB {
    Float32 _FillValue NaN;
    Float32 actual_range 24.24, 35.753;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "Salinity measurement by instrument; Sample B";
    String ioos_category "Salinity";
    String long_name "Sea Water Practical Salinity";
    String units "PSU";
  }
  SalinityPro30A {
    Float32 _FillValue NaN;
    Float32 actual_range 24.5, 37.0;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "Salinity measurement by instrument; Sample A";
    String ioos_category "Salinity";
    String long_name "Sea Water Practical Salinity";
    String units "PSU";
  }
  SalinityPro30B {
    Float32 _FillValue NaN;
    Float32 actual_range 25.0, 37.1;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "Salinity measurement by instrument; Sample B";
    String ioos_category "Salinity";
    String long_name "Sea Water Practical Salinity";
    String units "PSU";
  }
  SalinitySpyGlassA {
    Byte _FillValue 127;
    Byte actual_range 30, 36;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "Salinity measurement by instrument; Sample A";
    String ioos_category "Salinity";
    String long_name "Sea Water Practical Salinity";
    String units "PSU";
  }
  SalinitySpyGlassB {
    Byte _FillValue 127;
    Byte actual_range 31, 36;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "Salinity measurement by instrument; Sample B";
    String ioos_category "Salinity";
    String long_name "Sea Water Practical Salinity";
    String units "PSU";
  }
  SecchiDepthA {
    Float32 _FillValue NaN;
    Float32 actual_range 0.73, 2.78;
    String description "Secchi depth; Sample A";
    String ioos_category "Location";
    String long_name "Secchi Depth A";
    String units "meters";
  }
  SecchiDepthB {
    Float32 _FillValue NaN;
    Float32 actual_range 0.72, 2.94;
    String description "Secchi depth; Sample B";
    String ioos_category "Location";
    String long_name "Secchi Depth B";
    String units "meters";
  }
  SiOH4A {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 30.56;
    String description "Inorganic nutrient concentration; Sample A";
    String ioos_category "Dissolved Nutrients";
    String long_name "Si OH4 A";
    String units "uM";
  }
  SiOH4B {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 23.201;
    String description "Inorganic nutrient concentration; Sample B";
    String ioos_category "Dissolved Nutrients";
    String long_name "Si OH4 B";
    String units "uM";
  }
  SiOH4C {
    Float64 _FillValue NaN;
    String description "Inorganic nutrient concentration; Sample C";
    String ioos_category "Dissolved Nutrients";
    String long_name "Si OH4 C";
    String units "uM";
  }
  TempBottleA {
    Float32 _FillValue NaN;
    Float32 actual_range 6.8, 29.6;
    String description "Temperature; Sample A";
    String ioos_category "Unknown";
    String long_name "Temp Bottle A";
    String units "Celsius";
  }
  TempBottleB {
    Float32 _FillValue NaN;
    Float32 actual_range 7.1, 30.0;
    String description "Temperature; Sample B";
    String ioos_category "Unknown";
    String long_name "Temp Bottle B";
    String units "Celsius";
  }
  TempPro30ProbeA {
    Float32 _FillValue NaN;
    Float32 actual_range 5.6, 28.7;
    String description "Temperature from Pro 30 Probe; Sample A";
    String ioos_category "Unknown";
    String long_name "Temp Pro30 Probe A";
    String units "Celsius";
  }
  TempPro30ProbeB {
    Float32 _FillValue NaN;
    Float32 actual_range 5.4, 37.6;
    String description "Temperature from Pro 30 Probe; Sample B";
    String ioos_category "Unknown";
    String long_name "Temp Pro30 Probe B";
    String units "Celsius";
  }
  TurbidityA {
    Float32 _FillValue NaN;
    Float32 actual_range 1.45, 16.3;
    String description "Turbidity; Sample A";
    String ioos_category "Unknown";
    String long_name "Turbidity A";
    String units "Nephelometric turbidity units (NTU)";
  }
  TurbidityB {
    Float32 _FillValue NaN;
    Float32 actual_range 1.48, 15.2;
    String description "Turbidity; Sample B";
    String ioos_category "Unknown";
    String long_name "Turbidity B";
    String units "Nephelometric turbidity units (NTU)";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.3413114e+9, 1.4200218e+9;
    String axis "T";
    String description "ISO_Date format";
    String ioos_category "Time";
    String long_name "ISO Date Time UTC";
    String source_name "ISO_DateTime_UTC";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"DIC:\\u00a0Water was sampled using a 5 L niskin bottle centered at 1 m with a
bottle length of 0.7 m.\\u00a0 DIC was measured on mercuric chloride poisoned
samples by acidification and subsequent quantification of released
CO2\\u00a0using a CO2\\u00a0detector (Li-Cor 7000). DIC samples were collected
following recommended procedures {Dickson et al., 2007} and measurements were
calibrated against Certified Reference Materials provided by Dr. A. G. Dickson
at Scripps Institution of Oceanography (SIO), University of California, San
Diego (UCSD). \\u00a0\\u00a0
 
pH:\\u00a0Water was sampled using a 5 L niskin bottle centered at 1 m with a
bottle length of 0.7 m.\\u00a0 pH was measured spectrophotometrically {Clayton
and Byrne, 1993} in triplicate at standard temperature (25\\u00b0C) immediately
following collection. pH samples were collected following recommended
procedures {Dickson et al., 2007}.
 
Secchi Depth: Secchi depth was measured in duplicate using a 20 cm disk with
four alternating white and black quadrants (Cole Parmer #EW-05492-00) by
lowering the disk until no longer visible and recording the depth.
 
Salinity: Water was sampled using a 5 L niskin bottle centered at 1 m with a
bottle length of 0.7 m.\\u00a0 Salinity was measured using a calibrated
handheld digital refractometer (Atago PAL-06S), using a refractometer (Vista
A366ATC), or using a Guideline Portasal 8410A all according to
manufacturer\\u2019s instructions and calibrated against known reference
materials.\\u00a0 In situ salinity at the same depth was measured using a YSI
Pro30.
 
Turbidity:\\u00a0Turbidity was measured in duplicate on discrete samples using
a calibrated handheld turbidimeter (Orion AQ4500).
 
Dissolved\\u00a0Oxygen: Oxygen was measured optically\\u00a0in situ\\u00a0and
atmospheric pressure measured near the sea surface using a calibrated probe
(YSI ProODO) using manufactures recommendations.
 
Chlorophyll: Water was sampled using a 5 L niskin bottle centered at 1 m with
a bottle length of 0.7 m. Methods described in Johnson et al. 2010:
Chlorophyll concentrations were measured by filtering 25\\u00a0 mL of seawater
sample onto a 0.22 \\u00b5m pore size polycarbonate filter using gentle vacuum
(<100 mm Hg) and extracting in 100% MeOH at -20\\u00b0C in the dark for >24 h
following (Holm-Hansen and Riemann, 1978).\\u00a0 Fluorescence was measured
using a Turner Designs 10-AU fluorometer following (Welschmeyer, 1994) that
was calibrated against a standard chlorophyll solution (Ritchie, 2008).
 
Bacteria:\\u00a0Bacterioplankton (i.e. \\u2018bacteria\\u2019) were enumerated
using a FACSCalibur flow cytometer (Becton Dickinson) and populations
characterized as previously described (Johnson et al., 2010).\\u00a0 Briefly,
cells were excited with a 488 nm laser (15 mW Ar) and inelastic forward
(<15\\u00b0) scatter, inelastic side (90\\u00b0) scatter (SSC), green (530
\\u00b1 30 nm) fluorescence, orange fluorescence (585 \\u00b1 42 nm), and red
fluorescence (> 670 nm) emissions were measured.\\u00a0 Bacterioplankton were
quantified by staining the samples with the nucleic acid stain SYBR Green
\\u2013I (Molecular Probes Inc.) (Marie et al., 1997).
 
Nutrients: Water was filtered through a 0.22 \\u00b5m Sterivex cartridge
filter,\\u00a0 Millipore #SVGPL10RC using a peristaltic pump input line at 1 m
for later nutrient analysis (NO3, NO2, PO4, SiOH4)\\u00a0 and water was placed
into duplicate HCl-cleaned HDPE bottles (VWR#414004-110) and stored at
-80\\u00b0C until later analysis using an Astoria-Pacific A2 autoanalyzer
following the manufacturer\\u2019s recommended protocols running each replicate
sample in duplicate. \\u00a0
 
Certified reference materials were used to verify protocols (Inorganic
Ventures: QCP-NT, QCP-NUT-1, CGSI1-1).\\u00a0 The detection limit was
NO2\\u00a0= 0.05 \\u00b5M, NO3\\u00a0= 0.1 \\u00b5M, PO4\\u00a0= 0.05 \\u00b5M,
SiOH4\\u00a0= 0.2 \\u00b5M).\\u00a0 Values measured below these limits are
reported as zero.
 
Temperature:\\u00a0Water was sampled using a 5 L niskin bottle centered at 1 m
with a bottle length of 0.7 m. Temperature was measured in duplicate using
NIST traceable thermocouples (VWR#23609-232).\\u00a0 In situ water temperature
at the same depth was measured using a YSI Pro30. \\u00a0";
    String awards_0_award_nid "535565";
    String awards_0_award_number "OCE-1416665";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1416665";
    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 "Dr David  L. Garrison";
    String awards_0_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"OA Microbe Adaptation 
  Z. Johnson & D. Hunt, PIs 
  Version 25 May 2017";
    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 2.2d  13 Jun 2019";
    String date_created "2017-05-25T20:32:45Z";
    String date_modified "2019-03-28T18:19:39Z";
    String defaultDataQuery "&time";
    String doi "10.1575/1912/bco-dmo.700974.1";
    Float64 geospatial_vertical_max 1.0;
    Float64 geospatial_vertical_min 1.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2019-08-17T22:30:54Z (local files)
2019-08-17T22:30:54Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_700974.das";
    String infoUrl "https://www.bco-dmo.org/dataset/700974";
    String institution "BCO-DMO";
    String instruments_0_acronym "Niskin bottle";
    String instruments_0_dataset_instrument_description "Used to collect water samples";
    String instruments_0_dataset_instrument_nid "701417";
    String instruments_0_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.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/";
    String instruments_0_instrument_name "Niskin bottle";
    String instruments_0_instrument_nid "413";
    String instruments_0_supplied_name "Niskin";
    String instruments_10_dataset_instrument_description "Used to measure temperature";
    String instruments_10_dataset_instrument_nid "701427";
    String instruments_10_description "An instrument that measures temperature digitally.";
    String instruments_10_instrument_name "digital thermometer";
    String instruments_10_instrument_nid "685040";
    String instruments_10_supplied_name "NIST traceable thermocouples";
    String instruments_1_acronym "Fluorometer";
    String instruments_1_dataset_instrument_description "Used to measure fluorescence";
    String instruments_1_dataset_instrument_nid "701423";
    String instruments_1_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.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/113/";
    String instruments_1_instrument_name "Fluorometer";
    String instruments_1_instrument_nid "484";
    String instruments_1_supplied_name "10-AU Turner Designs Fluorometer";
    String instruments_2_acronym "Nutrient Autoanalyzer";
    String instruments_2_dataset_instrument_description "Used in nutrient analysis";
    String instruments_2_dataset_instrument_nid "701426";
    String instruments_2_description "Nutrient Autoanalyzer is a generic term used when specific type, make and model were not specified.  In general, a Nutrient Autoanalyzer is an automated flow-thru system for doing nutrient analysis (nitrate, ammonium, orthophosphate, and silicate) on seawater samples.";
    String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB04/";
    String instruments_2_instrument_name "Nutrient Autoanalyzer";
    String instruments_2_instrument_nid "558";
    String instruments_2_supplied_name "Astoria-Pacific A2 autoanalyzer";
    String instruments_3_acronym "Spectrometer";
    String instruments_3_dataset_instrument_description "Used to sample pH";
    String instruments_3_dataset_instrument_nid "701419";
    String instruments_3_description "A spectrometer is an optical instrument used to measure properties of light over a specific portion of the electromagnetic spectrum.";
    String instruments_3_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0460/";
    String instruments_3_instrument_name "Spectrometer";
    String instruments_3_instrument_nid "667";
    String instruments_3_supplied_name "Spectrometer";
    String instruments_4_acronym "Refractometer";
    String instruments_4_dataset_instrument_description "Used to sample salinity";
    String instruments_4_dataset_instrument_nid "701420";
    String instruments_4_description 
"A refractometer is a laboratory or field device for the measurement of an index of refraction (refractometry). The index of refraction is calculated from Snell's law and can be calculated from the composition of the material using the Gladstone-Dale relation.

In optics the refractive index (or index of refraction) n of a substance (optical medium) is a dimensionless number that describes how light, or any other radiation, propagates through that medium.";
    String instruments_4_instrument_name "Refractometer";
    String instruments_4_instrument_nid "679";
    String instruments_4_supplied_name "Atago PAL-06S Digital Refractometer";
    String instruments_5_acronym "Dissolved Oxygen Sensor";
    String instruments_5_dataset_instrument_description "Used to measure dissolved oxygen";
    String instruments_5_dataset_instrument_nid "701422";
    String instruments_5_description "An electronic device that measures the proportion of oxygen (O2) in the gas or liquid being analyzed";
    String instruments_5_instrument_name "Dissolved Oxygen Sensor";
    String instruments_5_instrument_nid "705";
    String instruments_5_supplied_name "YSI ProODO";
    String instruments_6_acronym "Turbidity Meter";
    String instruments_6_dataset_instrument_description "Used to analyze turbidity";
    String instruments_6_dataset_instrument_nid "701421";
    String instruments_6_description 
"A turbidity meter measures the clarity of a water sample. A beam of light is shown through a water sample. The turbidity, or its converse clarity, is read on a numerical scale. Turbidity determined by this technique is referred to as the nephelometric method from the root meaning \"cloudiness\". This word is used to form the name of the unit of turbidity, the NTU (Nephelometric Turbidity Unit). The meter reading cannot be used to compare the turbidity of different water samples unless the instrument is calibrated. Description from: http://www.gvsu.edu/wri/education/instructor-s-manual-turbidity-10.htm
(One example is the Orion AQ4500 Turbidimeter)";
    String instruments_6_instrument_name "Turbidity Meter";
    String instruments_6_instrument_nid "721";
    String instruments_6_supplied_name "Orion AQ4500";
    String instruments_7_dataset_instrument_description "Used in nutrient analysis";
    String instruments_7_dataset_instrument_nid "701424";
    String instruments_7_description "A pump is a device that moves fluids (liquids or gases), or sometimes slurries, by mechanical action. Pumps can be classified into three major groups according to the method they use to move the fluid: direct lift, displacement, and gravity pumps";
    String instruments_7_instrument_name "Pump";
    String instruments_7_instrument_nid "726";
    String instruments_7_supplied_name "Peristaltic pump";
    String instruments_8_acronym "CO2 Analyzer";
    String instruments_8_dataset_instrument_description "Used to sample DIC";
    String instruments_8_dataset_instrument_nid "701418";
    String instruments_8_description "Measures atmospheric carbon dioxide (CO2) concentration.";
    String instruments_8_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/382/";
    String instruments_8_instrument_name "CO2 Analyzer";
    String instruments_8_instrument_nid "491476";
    String instruments_8_supplied_name "Li-Cor 7000";
    String instruments_9_acronym "Bottle";
    String instruments_9_dataset_instrument_description "Used in nutrient analysis";
    String instruments_9_dataset_instrument_nid "701425";
    String instruments_9_description "A container, typically made of glass or plastic and with a narrow neck, used for storing drinks or other liquids.";
    String instruments_9_instrument_name "Bottle";
    String instruments_9_instrument_nid "542498";
    String instruments_9_supplied_name "HDPE bottle";
    String keywords "air, air_pressure, ammonium, atmosphere, atmospheric, bacteria, bacteriaA, bacteriaB, BarometricPressureA, BarometricPressureB, bco, bco-dmo, biological, bottle, chemical, chl, ChlExtractA, ChlExtractB, chlorophyll, data, dataset, date, density, depth, dica, dicb, dicc, dissolved, dissolved nutrients, dissolved o2, dmo, earth, Earth Science > Atmosphere > Atmospheric Pressure > Atmospheric Pressure Measurements, Earth Science > Atmosphere > Atmospheric Pressure > Sea Level Pressure, Earth Science > Atmosphere > Atmospheric Pressure > Static Pressure, Earth Science > Oceans > Salinity/Density > Salinity, erddap, extract, ht25, iso, level, management, measurements, nh4, NH4A, NH4B, NH4C, nitrate, nitrite, no2, NO2A, NO2B, NO2C, no3, NO3A, NO3B, NO3C, nutrients, O2, ocean, oceanography, oceans, office, oh4, oxygen, OxygenA, OxygenB, OxygenSaturationA, OxygenSaturationB, phosphate, pHT25A, pHT25B, pHT25C, piconumber, po4, PO4A, PO4B, PO4C, practical, preliminary, pressure, pro30, probe, qbacteria, QbacteriaA, QbacteriaB, QBarometricPressureA, QBarometricPressureB, qchl, QChlExtractA, QChlExtractB, qdepth, qdica, qdicb, qdicc, qnh4, QNH4A, QNH4B, QNH4C, qno2, QNO2A, QNO2B, QNO2C, qno3, QNO3A, QNO3B, QNO3C, qoxygen, QOxygenA, QOxygenB, QOxygenSaturationA, QOxygenSaturationB, QpHT25A, QpHT25B, QpHT25C, qpo4, QPO4A, QPO4B, QPO4C, QSalinityAtagoA, QSalinityAtagoB, QSalinityPortasalA, QSalinityPortasalB, QSalinityPro30A, QSalinityPro30B, QSalinitySpyGlassA, QSalinitySpyGlassB, qsecchi, QSecchiDepthA, QSecchiDepthB, qsi, QSiOH4A, QSiOH4B, QSiOH4C, qtemp, QTempBottleA, QTempBottleB, QTempPro30ProbeA, QTempPro30ProbeB, qturbidity, QTurbidityA, QTurbidityB, quality, salinity, SalinityAtagoA, SalinityAtagoB, SalinityPortasalA, SalinityPortasalB, SalinityPro30A, SalinityPro30B, SalinitySpyGlassA, SalinitySpyGlassB, saturation, science, sea, sea_water_practical_salinity, seawater, secchi, SecchiDepthA, SecchiDepthB, SiOH4A, SiOH4B, SiOH4C, static, statistics, TempBottleA, TempBottleB, temperature, TempPro30ProbeA, TempPro30ProbeB, time, time2, turbidity, TurbidityA, TurbidityB, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    String metadata_source "https://www.bco-dmo.org/api/dataset/700974";
    String param_mapping "{'700974': {'depth': 'master - depth', 'ISO_DateTime_UTC': 'master - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/700974/parameters";
    String people_0_affiliation "Duke University";
    String people_0_person_name "Dr 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 "Duke University";
    String people_1_person_name "Dana Hunt";
    String people_1_person_nid "51721";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Duke University";
    String people_2_person_name "Dr 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 "Hannah Ake";
    String people_3_person_nid "650173";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "Pivers Island Coastal Observatory, Collaborative Research: Ocean Acidification: microbes as sentinels of adaptive responses to multiple stressors: contrasting estuarine and open ocean environments";
    String projects_0_acronym "PICO";
    String projects_0_description 
"From the project website:
Carbon dioxide is rising at ~3% per year in the atmosphere and oceans leading to increases in dissolved inorganic carbon and a reduction in pH. This trend is expected to continue for the foreseeable future and ocean pH is predicted to decrease substantially making the ocean more acidic, potentially affecting the marine ecosystem. However, coastal estuaries are highly dynamic systems that often experience dramatic changes in environmental variables over short periods of times. In this study, the investigators are measuring key variables of the marine carbon system along with other potential forcing variables and characteristics of the ecosystem that may be affected by these pH changes. The goal of this project is to determine the time-scales and magnitude of natural variability that will be superimposed on any long term trends in ocean chemistry.
This project is associated with Ocean Acidification: microbes as sentinels of adaptive responses to multiple stressors: contrasting estuarine and open ocean environments.";
    String projects_0_geolocation "34.7181 deg N, 76.6707 deg W";
    String projects_0_name "Pivers Island Coastal Observatory";
    String projects_0_project_nid "2281";
    String projects_0_project_website "http://oceanography.ml.duke.edu/johnson/research/pico/";
    String projects_0_start_date "2010-06";
    String projects_1_acronym "OA microbe adaptation";
    String projects_1_description 
"Extracted from the NSF award abstract:
This collaborative project by Duke University and Georgia Institute of Technology researchers will combine oceanographic and advanced molecular techniques to characterize the adaptive responses of microbial communities to multiple stressors associated with OA. In particular, microbial communities from estuarine and coastal ecosystems as well as open ocean waters will be incubated under conditions of increased acidity or temperature or both, and their activities will be measured and quantified.�

Preliminary data from time-series observations of a coastal temperate estuary shows that pH, temperature and other stressors vary over multiple space and time scales, and this variability is relatively higher than that observed in open ocean waters. Based on this evidence, the guiding hypothesis of this work is that microbes in coastal ecosystems are better adapted to ocean acidification as well as multiple stressors compared to similar microbes from the open ocean. To quantify the adaptive genetic, physiological and biogeochemical responses of microbes to OA, the team's specific goals are to: (1) characterize complex natural microbial community responses to multiple stressors using factorial mesocosm manipulations, (2) assemble a detailed view of genomic and physiological (including transcriptional) adaptations to OA at the single species level using cultured model marine microbes (e.g. Prochlorococcus, Synechococcus, Vibrio) identified as responsive to stressors in whole community mesocosm experiments, and (3) assess the power of model microbial strains and mesocosm experiments to predict microbial community responses to natural OA variability in a temporally dynamic, temperate estuary and along a trophic/pH gradient from the Neuse-Pamlico Sound to the Sargasso Sea. By comparing an estuarine ecosystem to its open ocean counterpart, this study will assess the sensitivity of microbial structure and function in response to ocean acidification.
This project is associated with Pivers Island Coastal Observatory.";
    String projects_1_end_date "2017-12";
    String projects_1_geolocation "Neuse-Pamlico Sound to the Sargasso Sea";
    String projects_1_name "Collaborative Research: Ocean Acidification: microbes as sentinels of adaptive responses to multiple stressors: contrasting estuarine and open ocean environments";
    String projects_1_project_nid "535566";
    String projects_1_start_date "2015-01";
    String publisher_name "Hannah Ake";
    String publisher_role "BCO-DMO Data Manager(s)";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String subsetVariables "depth, bacteriaB, NH4C, NO2C, NO3C, PO4C, QbacteriaA, QbacteriaB, QBarometricPressureA, QDepth, QNO2A, QNO2B, QNO2C, QNO3A, QNO3C, QPO4A, QPO4C, QSalinityAtagoA, QSalinityAtagoB, QSecchiDepthA, QSecchiDepthB, QSiOH4B, QSiOH4C, QTurbidityA, QTurbidityB, SiOH4C";
    String summary "Environmental and physical data associated with ocean acidification microbe adaptation from 2012-2014";
    String time_coverage_end "2014-12-31T10:30:00Z";
    String time_coverage_start "2012-07-03T10:30:00Z";
    String title "Environmental and physical data associated with ocean acidification microbe adaptation from 2012-2014";
    String version "1";
    String xml_source "osprey2erddap.update_xml() v1.5-beta";
  }
}

 

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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