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Dataset Title:  Nutrient concentrations and microbial counts from Niskin bottle collections on
R/V Atlantic Explorer A1703 in the Bermuda Atlantic Time-series Study site from
Mar/April 2016
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_753679)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
   or a List of Values ?
   Maximum ?
 
 sample_id (unitless) ?          "BSAE1703.1.1"    "BSAE1703.9.9"
 Cruise (unitless) ?      
   - +  ?
 Cast (unitless) ?          1    19
 Niskin (unitless) ?          1    24
 date (unitless) ?          20170330    20170404
 date_decyr (unitless) ?          2017.2427    2017.2565
 time_UTC (unitless) ?          "0013"    "2356"
 latitude (degrees_north) ?          31.656    32.53
  < slider >
 longitude (degrees_east) ?          -77.427    -64.138
  < slider >
 depth (m) ?          3.29    2000.29
  < slider >
 Temp (Temperature, degrees celsius) ?          3.66    23.78
 CTD_S (pratical salinity units (PSU)) ?          34.96    36.737
 Pressure (decibars) ?          4.81    2935.58
 Sigma_theta (kilogram/meter^3) ?          24.818    27.81
 Conductivity (Siemens per meter) ?          3.309    5.373
 Fluor (milligram per Liter) ?          0.01    0.355
 Par (micro-Einsteins/meter^2/second (uE/m^2/sec)) ?          -999.0    1260.0
 O2 (millimole per kilogram) ?          113.22    271.63
 beam_trans_CStarTr0 (unitless) ?          103.65    106.59
 NO3_NO2 (millimole per Liter) ?          0.0    26.6
 NO3_NO2_QF (unitless) ?          0    8
 PO4 (millimole per Liter) ?          0.0    1.53
 PO4_QF (unitless) ?          0    8
 NH4 (millimole per liter) ?          0.0    0.9
 NH4_QF (unitless) ?          4    4
 POC_mg_L (milligram per Liter) ?          3.98    40.22
 POC_mmol_L (millimole per Liter) ?          0.33    3.35
 POC_QF (unitless) ?          0    8
 PON_mg_L (milligram per Liter) ?          0.44    7.89
 PON_mmol_L (millimole per Liter) ?          0.03    0.56
 PON_QF (unitless) ?          0    8
 DOC (micromolar) ?          42.41    69.14
 DOC_QF (unitless) ?          0    0
 TDN (micromolar) ?      
   - +  ?
 TDN_QF (unitless) ?      
   - +  ?
 Bact (cells per milliliter) ?          45000.0    1200000.0
 Bact_QF (unitless) ?          0    0
 Bact_Prod (picomoles per liter per hour) ?          0.0    15.1
 Bact_Prod_QF (unitless) ?          0    8
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  sample_id {
    String bcodmo_name "sample";
    String description "Unique Identified Code for each sample collected";
    String long_name "Sample Id";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  Cruise {
    String bcodmo_name "cruise_id";
    String description "cruise name";
    String long_name "Cruise";
    String units "unitless";
  }
  Cast {
    Byte _FillValue 127;
    Byte actual_range 1, 19;
    String bcodmo_name "cast";
    String description "cast number";
    String long_name "Cast";
    String units "unitless";
  }
  Niskin {
    Byte _FillValue 127;
    Byte actual_range 1, 24;
    String bcodmo_name "bottle";
    String description "Niskin bottle number";
    String long_name "Niskin";
    String units "unitless";
  }
  date {
    Int32 _FillValue 2147483647;
    Int32 actual_range 20170330, 20170404;
    String bcodmo_name "date";
    String description "Date  (yyyymmdd)";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String units "unitless";
  }
  date_decyr {
    Float64 _FillValue NaN;
    Float64 actual_range 2017.2427, 2017.2565;
    String bcodmo_name "date";
    String description "Date  (decimal year)";
    String long_name "Date Decyr";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String units "unitless";
  }
  time_UTC {
    String bcodmo_name "time";
    String description "Timestamp (UTC) hh:mm";
    String long_name "Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 31.656, 32.53;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "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 -77.427, -64.138;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "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 {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 3.29, 2000.29;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Sampling depth in meters";
    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";
  }
  Temp {
    Float32 _FillValue NaN;
    Float32 actual_range 3.66, 23.78;
    String bcodmo_name "temperature";
    String description "CTD temperature";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees celsius";
  }
  CTD_S {
    Float32 _FillValue NaN;
    Float32 actual_range 34.96, 36.737;
    String bcodmo_name "sal";
    String description "CTD salinity";
    String long_name "CTD S";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "pratical salinity units (PSU)";
  }
  Pressure {
    Float32 _FillValue NaN;
    Float32 actual_range 4.81, 2935.58;
    String bcodmo_name "pressure";
    String description "CTD Pressure";
    String long_name "Pressure";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PRESPR01/";
    String units "decibars";
  }
  Sigma_theta {
    Float32 _FillValue NaN;
    Float32 actual_range 24.818, 27.81;
    String bcodmo_name "sigma-t";
    String description "CTD sigma theta (potental density)";
    String long_name "Sea Water Sigma Theta";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SIGTEQST/";
    String units "kilogram/meter^3";
  }
  Conductivity {
    Float32 _FillValue NaN;
    Float32 actual_range 3.309, 5.373;
    String bcodmo_name "conductivity";
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum 30.0;
    String description "CTD Conductivity";
    String long_name "Sea Water Electrical Conductivity";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/CNDC/";
    String units "Siemens per meter";
  }
  Fluor {
    Float32 _FillValue NaN;
    Float32 actual_range 0.01, 0.355;
    String bcodmo_name "fluorescence";
    String description "CTD Fluorescence";
    String long_name "Fluor";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLPM01/";
    String units "milligram per Liter";
  }
  Par {
    Float32 _FillValue NaN;
    Float32 actual_range -999.0, 1260.0;
    String bcodmo_name "PAR";
    Float64 colorBarMaximum 70.0;
    Float64 colorBarMinimum 0.0;
    String description "CTD photosynthetically available radiation";
    String long_name "Downwelling Photosynthetic Photon Radiance In Sea Water";
    String units "micro-Einsteins/meter^2/second (uE/m^2/sec)";
  }
  O2 {
    Float32 _FillValue NaN;
    Float32 actual_range 113.22, 271.63;
    String bcodmo_name "dissolved Oxygen";
    String description "CTD Oxygen";
    String long_name "O2";
    String units "millimole per kilogram";
  }
  beam_trans_CStarTr0 {
    Float32 _FillValue NaN;
    Float32 actual_range 103.65, 106.59;
    String bcodmo_name "transmission";
    String description "CTD beam transmission as percent";
    String long_name "Beam Trans CStar Tr0";
    String units "unitless";
  }
  NO3_NO2 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 26.6;
    String bcodmo_name "NO3_NO2";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Nitrate+Nitrite concentration by flow injection autoanalyzer (Lachat QuikChem 8000)";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String units "millimole per Liter";
  }
  NO3_NO2_QF {
    Byte _FillValue 127;
    Byte actual_range 0, 8;
    String bcodmo_name "q_flag";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String units "unitless";
  }
  PO4 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 1.53;
    String bcodmo_name "PO4";
    String description "ortho-Phosphate concentration by flow injection autoanalyzer (Lachat QuikChem 8000)";
    String long_name "Mass Concentration Of Phosphate In Sea Water";
    String units "millimole per Liter";
  }
  PO4_QF {
    Byte _FillValue 127;
    Byte actual_range 0, 8;
    String bcodmo_name "q_flag";
    String description "Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement";
    String long_name "Mass Concentration Of Phosphate In Sea Water";
    String units "unitless";
  }
  NH4 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.9;
    String bcodmo_name "Ammonium";
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String description "Ammonium ion concentration by flow injection autoanalyzer (Lachat QuikChem 8000)";
    String long_name "Mole Concentration Of Ammonium In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AMONAAZX/";
    String units "millimole per liter";
  }
  NH4_QF {
    Byte _FillValue 127;
    Byte actual_range 4, 4;
    String bcodmo_name "q_flag";
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String description "Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement";
    String long_name "Mole Concentration Of Ammonium In Sea Water";
    String units "unitless";
  }
  POC_mg_L {
    Float32 _FillValue NaN;
    Float32 actual_range 3.98, 40.22;
    String bcodmo_name "POC";
    String description "Particulate organic carbon measured by combustion analysis (CEC 440HA). Collected on Glass fiber filter type GF/F (Whatman)";
    String long_name "POC Mg L";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CORGCAP1/";
    String units "milligram per Liter";
  }
  POC_mmol_L {
    Float32 _FillValue NaN;
    Float32 actual_range 0.33, 3.35;
    String bcodmo_name "POC";
    String description "Particulate organic carbon";
    String long_name "POC Mmol L";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CORGCAP1/";
    String units "millimole per Liter";
  }
  POC_QF {
    Byte _FillValue 127;
    Byte actual_range 0, 8;
    String bcodmo_name "q_flag";
    String description "Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement";
    String long_name "POC QF";
    String units "unitless";
  }
  PON_mg_L {
    Float32 _FillValue NaN;
    Float32 actual_range 0.44, 7.89;
    String bcodmo_name "PON";
    String description "Particulate organic nitrogen measured by combustion analysis (CEC 440HA). Collected on Glass fiber filter type GF/F (Whatman)";
    String long_name "PON Mg L";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MDMAP013/";
    String units "milligram per Liter";
  }
  PON_mmol_L {
    Float32 _FillValue NaN;
    Float32 actual_range 0.03, 0.56;
    String bcodmo_name "PON";
    String description "Particulate organic nitrogen";
    String long_name "PON Mmol L";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MDMAP013/";
    String units "millimole per Liter";
  }
  PON_QF {
    Byte _FillValue 127;
    Byte actual_range 0, 8;
    String bcodmo_name "q_flag";
    String description "Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement";
    String long_name "PON QF";
    String units "unitless";
  }
  DOC {
    Float32 _FillValue NaN;
    Float32 actual_range 42.41, 69.14;
    String bcodmo_name "DOC";
    String description "Dissolved organic carbon concentration by HTCO. Glass fiber filtrate type GF/F (Whatman). Methodological reference is Carlson et al. 2010 DSRII";
    String long_name "DOC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CORGZZZX/";
    String units "micromolar";
  }
  DOC_QF {
    Byte _FillValue 127;
    Byte actual_range 0, 0;
    String bcodmo_name "q_flag";
    String description "Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement";
    String long_name "DOC QF";
    String units "unitless";
  }
  TDN {
    Float64 _FillValue NaN;
    String bcodmo_name "Total Dissolved Nitrogren";
    String description "Total dissolved nitrogen concentration by HTCO. Glass fiber filtrate type GF/F (Whatman).";
    String long_name "TDN";
    String units "micromolar";
  }
  TDN_QF {
    Float64 _FillValue NaN;
    String bcodmo_name "q_flag";
    String description "Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement";
    String long_name "TDN QF";
    String units "unitless";
  }
  Bact {
    Float32 _FillValue NaN;
    Float32 actual_range 45000.0, 1200000.0;
    String bcodmo_name "cell_concentration";
    String description "Bacterioplankton abundance by microscopy. Methodological reference: K.G. Porter and Y.S. Feig (1980). The use of DAPI for identifying and counting aquatic microflora. Limnol. Oceanogr 25(5): 943-948.";
    String long_name "Bact";
    String units "cells per milliliter";
  }
  Bact_QF {
    Byte _FillValue 127;
    Byte actual_range 0, 0;
    String bcodmo_name "q_flag";
    String description "Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement";
    String long_name "Bact QF";
    String units "unitless";
  }
  Bact_Prod {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 15.1;
    String bcodmo_name "leuc_incorp";
    String description "Heterotrophic bacterial production  by  3H Leu uptake. Methodological reference: Smith DC & Azam F (1992) A simple economical method for measuring bacterial protein synthesis rates in seawater using 3H-leucine. Mar Microb Food Webs 6: 107_114.";
    String long_name "Bact Prod";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/UPLERIP4/";
    String units "picomoles per liter per hour";
  }
  Bact_Prod_QF {
    Byte _FillValue 127;
    Byte actual_range 0, 8;
    String bcodmo_name "q_flag";
    String description "Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement";
    String long_name "Bact Prod QF";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description "See Supplemental Documents below.";
    String awards_0_award_nid "615542";
    String awards_0_award_number "OCE-1436865";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1436865";
    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 cdm_data_type "Other";
    String comment 
"Survey CTD Biogeochemical and Microbial data 
   Atlantic Explorer AE1703 
   PI: S. Giovanonni (OSU) 
   version: 2019-01-23";
    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 "2019-01-24T14:03:56Z";
    String date_modified "2019-09-30T18:43:57Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.753679.1";
    Float64 Easternmost_Easting -64.138;
    Float64 geospatial_lat_max 32.53;
    Float64 geospatial_lat_min 31.656;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -64.138;
    Float64 geospatial_lon_min -77.427;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 2000.29;
    Float64 geospatial_vertical_min 3.29;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2022-08-12T08:11:42Z (local files)
2022-08-12T08:11:42Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_753679.html";
    String infoUrl "https://www.bco-dmo.org/dataset/753679";
    String institution "BCO-DMO";
    String instruments_0_acronym "Niskin bottle";
    String instruments_0_dataset_instrument_nid "753694";
    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_1_acronym "CTD";
    String instruments_1_dataset_instrument_nid "753691";
    String instruments_1_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_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/130/";
    String instruments_1_instrument_name "CTD profiler";
    String instruments_1_instrument_nid "417";
    String instruments_2_acronym "Shimadzu TOC-V";
    String instruments_2_dataset_instrument_description "Used to measure non-purgeable Organic Carbon (NPOC) and Total Dissolved Nitrogen (TDN)";
    String instruments_2_dataset_instrument_nid "753686";
    String instruments_2_description "A Shimadzu TOC-V Analyzer measures DOC by high temperature combustion method.";
    String instruments_2_instrument_external_identifier "http://onto.nerc.ac.uk/CAST/124";
    String instruments_2_instrument_name "Shimadzu TOC-V Analyzer";
    String instruments_2_instrument_nid "603";
    String instruments_2_supplied_name "Shimadzu High Temperature Combustion system";
    String instruments_3_acronym "LSC";
    String instruments_3_dataset_instrument_description "Used to count microbial cells";
    String instruments_3_dataset_instrument_nid "753688";
    String instruments_3_description "Liquid scintillation counting is an analytical technique which is defined by the incorporation of the radiolabeled analyte into uniform distribution with a liquid chemical medium capable of converting the kinetic energy of nuclear emissions into light energy. Although the liquid scintillation counter is a sophisticated laboratory counting system used the quantify the activity of particulate emitting (ß and a) radioactive samples, it can also detect the auger electrons emitted from 51Cr and 125I samples.";
    String instruments_3_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB21/";
    String instruments_3_instrument_name "Liquid Scintillation Counter";
    String instruments_3_instrument_nid "624";
    String instruments_4_dataset_instrument_description "Used to enumerate bacterial abundance";
    String instruments_4_dataset_instrument_nid "753687";
    String instruments_4_description "Instruments that generate enlarged images of samples using the phenomena of fluorescence and phosphorescence instead of, or in addition to, reflection and absorption of visible light. Includes conventional and inverted instruments.";
    String instruments_4_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB06/";
    String instruments_4_instrument_name "Microscope-Fluorescence";
    String instruments_4_instrument_nid "695";
    String instruments_4_supplied_name "Epifluorescence microscope";
    String keywords "active, ammonia, ammonium, available, bact, Bact_Prod, Bact_Prod_QF, Bact_QF, bco, bco-dmo, beam, beam_trans_CStarTr0, biological, cast, chemical, chemistry, commerce, concentration, conductivity, cruise, cstar, ctd, CTD_S, data, dataset, date, date_decyr, decyr, density, department, depth, dmo, doc, DOC_QF, downwelling, downwelling_photosynthetic_photon_radiance_in_sea_water, earth, Earth Science > Oceans > Ocean Chemistry > Ammonia, Earth Science > Oceans > Ocean Chemistry > Nitrate, Earth Science > Oceans > Ocean Chemistry > Phosphate, Earth Science > Oceans > Ocean Optics > Photosynthetically Active Radiation, Earth Science > Oceans > Ocean Optics > Radiance, Earth Science > Oceans > Salinity/Density > Conductivity, Earth Science > Oceans > Salinity/Density > Density, electrical, erddap, fluor, latitude, longitude, management, mass, mass_concentration_of_phosphate_in_sea_water, mmol, mole, mole_concentration_of_ammonium_in_sea_water, mole_concentration_of_nitrate_in_sea_water, n02, nh4, NH4_QF, niskin, nitrate, no3, NO3_NO2, NO3_NO2_QF, O2, ocean, oceanography, oceans, office, optics, oxygen, Par, phosphate, photon, photosynthetic, photosynthetically, po4, PO4_QF, poc, POC_mg_L, POC_mmol_L, POC_QF, pon, PON_mg_L, PON_mmol_L, PON_QF, preliminary, pressure, prod, radiance, radiation, salinity, sample, sample_id, science, sea, sea_water_electrical_conductivity, sea_water_sigma_theta, seawater, sigma, Sigma_theta, sonde, tdn, TDN_QF, Temp, temperature, theta, time, time_UTC, tr0, trans, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/753679/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/753679";
    Float64 Northernmost_Northing 32.53;
    String param_mapping "{'753679': {'lat': 'master - latitude', 'Depth': 'flag - depth', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/753679/parameters";
    String people_0_affiliation "Oregon State University";
    String people_0_affiliation_acronym "OSU";
    String people_0_person_name "Dr Stephen Giovannoni";
    String people_0_person_nid "514364";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of California-Santa Barbara";
    String people_1_affiliation_acronym "UCSB-MSI";
    String people_1_person_name "Craig Carlson";
    String people_1_person_nid "50575";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Nancy Copley";
    String people_2_person_nid "50396";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "Bacterial DOC cycling";
    String projects_0_acronym "Bacterial DOC cycling";
    String projects_0_description 
"SAR11 (Pelagibacterales) are the most abundant group of bacterioplankton in the oceans. Globally, they are estimated to oxidize to carbon dioxide (CO2) between 5 and 22% of all the organic carbon produced by photosynthesis each day. The activities of bacterioplankton such as SAR11 determine the residence times of different forms of organic carbon, and ultimately shape the composition of dissolved organic pools in the oceans, which rival atmospheric CO2 in mass. Accurate and detailed information about the oceanic carbon cycle is used in models that are valued for their potential to predict and understand future changes in ocean ecosystems. This grant supports analyses of genomic data that predict the carbon oxidation functions of SAR11 cells, and supports experiments with cells in culture, where high-resolution mass spectrometry technology is applied to discover new organic carbon oxidation biochemistry. To assess the importance of SAR11 carbon oxidation functions in ocean ecosystems, this project includes four short oceanographic cruises to the Bermuda Atlantic Time-series Study (BATS) site, in the western Sargasso Sea. On these cruises the concentrations and oxidation rates of organic compounds will be measured, and linked to variation in planktonic SAR11 populations. 

It is a paradox that SAR11 cells are the most abundant in the oceans, but also have among the smallest genomes known. The central goal of this proposal is to understand what types of dissolved organic matter (DOM) are oxidized to CO2 by SAR11. Implicit to this approach is the perspective that some abundant chemoheterotrophic bacterioplankton taxa, particularly those with small genomes, have evolved specialist strategies for oxidizing organic matter. Understanding these strategies can lead to a more detailed and accurate understanding of the biological processes that recycle biological production to CO2. Major project aims are: 1) investigate SAR11 genomes and assay cells in culture with high-resolution mass spectrometry approaches and isotopic labeling to identify the range of compounds these cells can oxidize to CO2; 2) at BATS, measure biological oxidation rates of DOM compounds used by SAR11; 3) link spatiotemporal SAR11 genome variation to patterns of DOM oxidation in the ocean surface layer (0-300 m). This projects includes four short cruises to BATS that target the four microbial plankton community types at this site: upper euphotic zone, deep chlorophyll maximum, spring bloom and upper mesopelagic. Products of this activity will include new information about variation in labile DOM oxidation across the surface layer, and specific links to genome features that will improve the accuracy of interpretation of global ocean metagenomic data.";
    String projects_0_end_date "2017-09";
    String projects_0_geolocation "Western Sargasso Sea, Bermuda Atlantic Time Series Site:  Hydrostation S";
    String projects_0_name "Dissolved Organic Carbon Cycling by SAR11 Marine Bacteria";
    String projects_0_project_nid "615543";
    String projects_0_start_date "2014-10";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 31.656;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "Cruise,TDN,TDN_QF";
    String summary "Nutrient concentrations and microbial counts from Niskin bottle collections on R/V Atlantic Explorer A1703 in the Bermuda Atlantic Time-series Study site from Mar/April 2016.";
    String title "Nutrient concentrations and microbial counts from Niskin bottle collections on R/V Atlantic Explorer A1703 in the Bermuda Atlantic Time-series Study site from Mar/April 2016";
    String version "1";
    Float64 Westernmost_Easting -77.427;
    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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