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Dataset Title:	[N and O isotopes] - Nitrate (d15N and d18O) and nitrite (d15N) isotopic data, and corresponding hydrographic data from R/V Knorr cruise KN182-09 in the Peruvian Oxygen Deficient Zone in 2005 (N2O Cycling project) (Biogeochemistry of nitrous oxide cycling in the eastern tropical South Pacific)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_3958)
Range:	longitude = -79.3 to -75.07°E, latitude = -17.67 to -11.0°N, depth = 6.1 to 4879.8m
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Subset | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks vectors X Axis:  station latitude longitude lon_360 press depth sal temp density_in_situ sigma_0 O2 AOU_umol_kg AOU_umol_L NO3_preformed NO3_expected DIN_deficit NO3_deficit PO4 NO3 NO2 NO2_NO3 d15N_NO3 d15N_NO3_sd d18O_NO3 d18O_NO3_sd d15N_NO2 d15N_NO2_sd D15_18 D15_18_sd Dd15N Dd15N_sd Y Axis:  station latitude longitude lon_360 press depth sal temp density_in_situ sigma_0 O2 AOU_umol_kg AOU_umol_L NO3_preformed NO3_expected DIN_deficit NO3_deficit PO4 NO3 NO2 NO2_NO3 d15N_NO3 d15N_NO3_sd d18O_NO3 d18O_NO3_sd d15N_NO2 d15N_NO2_sd D15_18 D15_18_sd Dd15N Dd15N_sd Color:  station latitude longitude lon_360 press depth sal temp density_in_situ sigma_0 O2 AOU_umol_kg AOU_umol_L NO3_preformed NO3_expected DIN_deficit NO3_deficit PO4 NO3 NO2 NO2_NO3 d15N_NO3 d15N_NO3_sd d18O_NO3 d18O_NO3_sd d15N_NO2 d15N_NO2_sd D15_18 D15_18_sd Dd15N Dd15N_sd   Constraints Optional Constraint #1 Optional Constraint #2 cruise_id station latitude longitude lon_360 press depth sal temp density_in_situ sigma_0 O2 AOU_umol_kg AOU_umol_L NO3_preformed NO3_expected DIN_deficit NO3_deficit PO4 NO3 NO2 NO2_NO3 d15N_NO3 d15N_NO3_sd d18O_NO3 d18O_NO3_sd d15N_NO2 d15N_NO2_sd D15_18 D15_18_sd Dd15N Dd15N_sd     != =~ <= >= = < >     != =~ <= >= = < >     cruise_id station latitude longitude lon_360 press depth sal temp density_in_situ sigma_0 O2 AOU_umol_kg AOU_umol_L NO3_preformed NO3_expected DIN_deficit NO3_deficit PO4 NO3 NO2 NO2_NO3 d15N_NO3 d15N_NO3_sd d18O_NO3 d18O_NO3_sd d15N_NO2 d15N_NO2_sd D15_18 D15_18_sd Dd15N Dd15N_sd     != =~ <= >= = < >     != =~ <= >= = < >     cruise_id station latitude longitude lon_360 press depth sal temp density_in_situ sigma_0 O2 AOU_umol_kg AOU_umol_L NO3_preformed NO3_expected DIN_deficit NO3_deficit PO4 NO3 NO2 NO2_NO3 d15N_NO3 d15N_NO3_sd d18O_NO3 d18O_NO3_sd d15N_NO2 d15N_NO2_sd D15_18 D15_18_sd Dd15N Dd15N_sd     != =~ <= >= = < >     != =~ <= >= = < >     cruise_id station latitude longitude lon_360 press depth sal temp density_in_situ sigma_0 O2 AOU_umol_kg AOU_umol_L NO3_preformed NO3_expected DIN_deficit NO3_deficit PO4 NO3 NO2 NO2_NO3 d15N_NO3 d15N_NO3_sd d18O_NO3 d18O_NO3_sd d15N_NO2 d15N_NO2_sd D15_18 D15_18_sd Dd15N Dd15N_sd     != =~ <= >= = < >     != =~ <= >= = < >     cruise_id station latitude longitude lon_360 press depth sal temp density_in_situ sigma_0 O2 AOU_umol_kg AOU_umol_L NO3_preformed NO3_expected DIN_deficit NO3_deficit PO4 NO3 NO2 NO2_NO3 d15N_NO3 d15N_NO3_sd d18O_NO3 d18O_NO3_sd d15N_NO2 d15N_NO2_sd D15_18 D15_18_sd Dd15N Dd15N_sd     != =~ <= >= = < >     != =~ <= >= = < >       Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" cruise_id station latitude longitude lon_360 press depth sal temp density_in_situ sigma_0 O2 AOU_umol_kg AOU_umol_L NO3_preformed NO3_expected DIN_deficit NO3_deficit PO4 NO3 NO2 NO2_NO3 d15N_NO3 d15N_NO3_sd d18O_NO3 d18O_NO3_sd d15N_NO2 d15N_NO2_sd D15_18 D15_18_sd Dd15N Dd15N_sd cruise_id station latitude longitude lon_360 press depth sal temp density_in_situ sigma_0 O2 AOU_umol_kg AOU_umol_L NO3_preformed NO3_expected DIN_deficit NO3_deficit PO4 NO3 NO2 NO2_NO3 d15N_NO3 d15N_NO3_sd d18O_NO3 d18O_NO3_sd d15N_NO2 d15N_NO2_sd D15_18 D15_18_sd Dd15N Dd15N_sd cruise_id station latitude longitude lon_360 press depth sal temp density_in_situ sigma_0 O2 AOU_umol_kg AOU_umol_L NO3_preformed NO3_expected DIN_deficit NO3_deficit PO4 NO3 NO2 NO2_NO3 d15N_NO3 d15N_NO3_sd d18O_NO3 d18O_NO3_sd d15N_NO2 d15N_NO2_sd D15_18 D15_18_sd Dd15N Dd15N_sd cruise_id station latitude longitude lon_360 press depth sal temp density_in_situ sigma_0 O2 AOU_umol_kg AOU_umol_L NO3_preformed NO3_expected DIN_deficit NO3_deficit PO4 NO3 NO2 NO2_NO3 d15N_NO3 d15N_NO3_sd d18O_NO3 d18O_NO3_sd d15N_NO2 d15N_NO2_sd D15_18 D15_18_sd Dd15N Dd15N_sd ")   Graph Settings Marker Type:  None Plus X Dot Square Filled Square Circle Filled Circle Up Triangle Filled Up Triangle Borderless Filled Square Borderless Filled Circle Borderless Filled Up Triangle  Size:  3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Color:  Color Bar:  BlackBlueWhite BlackGreenWhite BlackRedWhite BlackWhite BlueWhiteRed BlueWideWhiteRed LightRainbow Ocean OceanDepth Rainbow Rainbow2 Rainfall ReverseRainbow RedWhiteBlue RedWhiteBlue2 RedWideWhiteBlue Spectrum Topography TopographyDepth WhiteBlueBlack WhiteGreenBlack WhiteRedBlack WhiteBlack YellowRed KT_algae KT_amp KT_balance KT_curl KT_deep KT_delta KT_dense KT_gray KT_haline KT_ice KT_matter KT_oxy KT_phase KT_solar KT_speed KT_tempo KT_thermal KT_turbid  Continuity:  Continuous Discrete  Scale:  Linear Log    Minimum:   Maximum:   N Sections:  2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 Draw land mask:  under over outline off Y Axis Minimum:   Maximum:    Ascending Descending Linear Log   Redraw the Graph (Please be patient. It may take a while to get the data.)   Optional: Then set the File Type: .asc .csv .csvp .csv0 .dataTable .das .dds .dods .esriCsv .fgdc .geoJson .graph .help .html .htmlTable .iso19115 .itx .json .jsonlCSV1 .jsonlCSV .jsonlKVP .mat .nc .ncHeader .ncCF .ncCFHeader .ncCFMA .ncCFMAHeader .nccsv .nccsvMetadata .ncoJson .odvTxt .subset .tsv .tsvp .tsv0 .wav .xhtml .kml .smallPdf .pdf .largePdf .smallPng .png .largePng .transparentPng (File Type information) and or view the URL: (Documentation / Bypass this form )

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  cruise_id {
    String bcodmo_name "cruise_id";
    String description "Cruise identifier";
    String long_name "Cruise Id";
    String units "text";
  }
  station {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 10, 32;
    String bcodmo_name "station";
    String description "Station identifier";
    String long_name "Station";
    String units "integer";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -17.67, -11.0;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude. Positive values = North.";
    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 -79.3, -75.07;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude. Negative values = West.";
    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";
  }
  lon_360 {
    Float32 _FillValue NaN;
    Float32 actual_range 280.7, 284.93;
    String bcodmo_name "lon_360";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude east (0 to 360 degrees).";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "decimal degrees";
  }
  press {
    Float32 _FillValue NaN;
    Float32 actual_range 6.1, 4907.9;
    String bcodmo_name "pressure";
    String description "Pressure";
    String long_name "Press";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PRESPR01/";
    String units "decibars";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 6.1, 4879.8;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth";
    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";
  }
  sal {
    Float32 _FillValue NaN;
    Float32 actual_range 34.5, 35.08;
    String bcodmo_name "sal";
    String description "Practical salinity.";
    String long_name "Sal";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "PSU";
  }
  temp {
    Float32 _FillValue NaN;
    Float32 actual_range 1.74, 17.31;
    String bcodmo_name "temperature";
    String description "Temperature (Celsius)";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees C";
  }
  density_in_situ {
    Float32 _FillValue NaN;
    Float32 actual_range 1.0255, 1.0496;
    String bcodmo_name "unknown";
    String description "In-situ density in kilograms per liter.";
    String long_name "Density In Situ";
    String units "kg/L";
  }
  sigma_0 {
    Float32 _FillValue NaN;
    Float32 actual_range 25.48, 27.78;
    String bcodmo_name "sigma_0";
    String description "sigma theta density";
    String long_name "Sigma 0";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SIGTPR01/";
    String units "kilograms per cubic meter (kg/m3)";
  }
  O2 {
    Float32 _FillValue NaN;
    Float32 actual_range 1.74, 265.65;
    String bcodmo_name "O2_umol_kg";
    String description "Oxygen in micromoles per kilogram.";
    String long_name "O2";
    String units "umol/kg";
  }
  AOU_umol_kg {
    Float32 _FillValue NaN;
    Float32 actual_range 11.36, 275.75;
    String bcodmo_name "unknown";
    String description "Apparent oxygen utilization (AOU). Equal to O2saturation - O2measured; where O2 saturation was calculated according to Garcia and Gordon (1992).";
    String long_name "AOU Umol Kg";
    String units "umol/kg";
  }
  AOU_umol_L {
    Float32 _FillValue NaN;
    Float32 actual_range 11.65, 283.61;
    String bcodmo_name "unknown";
    String description "Apparent oxygen utilization (AOU). Equal to AOU_umol_kg x density_in_situ.";
    String long_name "AOU Umol L";
    String units "umol/L";
  }
  NO3_preformed {
    Float32 _FillValue NaN;
    Float32 actual_range 14.74, 22.26;
    String bcodmo_name "NO3";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Preformed NO3 in micromoles per liter.";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/NTRAIGGS/";
    String units "umol/L";
  }
  NO3_expected {
    Float32 _FillValue NaN;
    Float32 actual_range 19.02, 45.5;
    String bcodmo_name "NO3";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Expected NO3 in micromoles per liter.";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/NTRAIGGS/";
    String units "umol/L";
  }
  DIN_deficit {
    Float32 _FillValue NaN;
    Float32 actual_range -3.26, 27.44;
    String bcodmo_name "unknown";
    String description "DIN defecit = NO3_expected - NO3 - NO2";
    String long_name "DIN Deficit";
    String units "umol/L";
  }
  NO3_deficit {
    Float32 _FillValue NaN;
    Float32 actual_range -3.27, 33.56;
    String bcodmo_name "unknown";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "NO3 defecit = NO3_expected - NO3";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String units "umol/L";
  }
  PO4 {
    Float32 _FillValue NaN;
    Float32 actual_range 1.51, 3.1;
    String bcodmo_name "PO4";
    String description "PO4";
    String long_name "Mass Concentration Of Phosphate In Sea Water";
    String units "umol/L";
  }
  NO3 {
    Float32 _FillValue NaN;
    Float32 actual_range 1.52, 46.29;
    String bcodmo_name "NO3";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "NO3-";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/NTRAIGGS/";
    String units "umol/L";
  }
  NO2 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 9.47;
    String bcodmo_name "NO2";
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String description "NO2-";
    String long_name "Mole Concentration Of Nitrite In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/NTRIAAZX/";
    String units "umol/L";
  }
  NO2_NO3 {
    Float32 _FillValue NaN;
    Float32 actual_range 1.62, 46.29;
    String bcodmo_name "NO3_NO2";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "NO2- + NO3-";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String units "umol/L";
  }
  d15N_NO3 {
    Float32 _FillValue NaN;
    Float32 actual_range 5.03, 31.31;
    String bcodmo_name "unknown";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "delta15N-NO3 (permil vs. N2) = ((15N/14N NO3) / (15N/14N atmospheric N2) -1) *1000";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String units "permil";
  }
  d15N_NO3_sd {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.75;
    String bcodmo_name "standard deviation";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Standard deviation of replicate d15N-NO3 measurements.";
    String long_name "D15 N NO3 Sd";
    String units "permil";
  }
  d18O_NO3 {
    Float32 _FillValue NaN;
    Float32 actual_range 2.13, 27.18;
    String bcodmo_name "unknown";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "delta18O-NO3 (permil vs. VSMOW) = ((18O/16O NO3) / (18O/16O VSMOW) -1) *1000";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String units "permil";
  }
  d18O_NO3_sd {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 1.12;
    String bcodmo_name "standard deviation";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Standard deviation of replicate d18O-NO3 measurements.";
    String long_name "D18 O NO3 Sd";
    String units "permil";
  }
  d15N_NO2 {
    Float32 _FillValue NaN;
    Float32 actual_range -31.46, 8.83;
    String bcodmo_name "unknown";
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String description "delta15N-NO2 (permil vs. N2) = ((15N/14N NO2) / (15N/14N atmospheric N2) -1) *1000";
    String long_name "Mole Concentration Of Nitrite In Sea Water";
    String units "permil";
  }
  d15N_NO2_sd {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 3.41;
    String bcodmo_name "standard deviation";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Standard deviation of replicate d15N-NO2 measurements.";
    String long_name "D15 N NO2 Sd";
    String units "permil";
  }
  D15_18 {
    Float32 _FillValue NaN;
    Float32 actual_range -6.93, 2.21;
    String bcodmo_name "unknown";
    String description "D(15,18) = (d15N-NO3 - 5.5 permil) - (d18O-NO3 - 2.5 permil)";
    String long_name "D15 18";
    String units "permil";
  }
  D15_18_sd {
    Float32 _FillValue NaN;
    Float32 actual_range 0.02, 1.2;
    String bcodmo_name "standard deviation";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Standard deviation of D(15,18) calculated from propagated error of replicate d15N-NO3 and d18O-NO3 measurements.";
    String long_name "D15 18 SD";
    String units "permil";
  }
  Dd15N {
    Float32 _FillValue NaN;
    Float32 actual_range 2.26, 42.5;
    String bcodmo_name "unknown";
    String description "Dd15N (permil) = d15N-NO3 minus d15N-NO2";
    String long_name "DD15 N";
    String units "permil";
  }
  Dd15N_sd {
    Float32 _FillValue NaN;
    Float32 actual_range 0.01, 3.41;
    String bcodmo_name "standard deviation";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Standard deviation of Dd15N calculated from propagated error of replicate d15N-NO3 and d15N-NO2 measurements.";
    String long_name "DD15 N SD";
    String units "permil";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Sampling and Analytical Methodology:  
 Samples were collected from Niskin bottles, syringe filtered through 0.2 um
pore-size capsule filters and frozen immediately in 60 mL HDPE bottles.
Samples were stored frozen until analysis. Nitrate and nitrite concentrations
were measured on separate aliquots by auto analyzer at the WHOI nutrient
facility.
 
Samples were initially analyzed for nitrate +\\u00a0 nitrite d15N and d18O
using the denitrifier method (Sigman et al., 2001; Casciotti et al., 2002),
then nitrite d15N and d18O were subtracted out according to Casciotti and
McIlvin (2007). Later, the samples were reanalyzed for nitrate d15N and d18O
using the denitrifier method after treatment with sulfamic acid using the
method of Granger and Sigman (2009). These latter analyses, which we believe
to be more accurate and precise, are reported here. Samples were analyzed in
duplicate and are reported as the mean and standard deviation of replicate
measurements. Typical precision for these analyses is 0.2-0.3 for d15N and
0.3-0.5 for d18O.
 
Samples were analyzed for nitrite d15N and d18O using the azide method
(McIlvin and Altabet, 2005). Nitrite d18O data are not reported because it was
determined that samples may have undergone O atom equilibration with water
during storage (Casciotti et al., 2007). Typical precision for these analyses
is 0.3-0.5 for d15N and 0.3-0.5 for d18O.
 
All isotopic measurements were conducted on a Thermo Finnigan Delta PLUS XP
isotope ratio mass spectrometer.";
    String awards_0_award_nid "55188";
    String awards_0_award_number "27500006";
    String awards_0_data_url "https://www.whoi.edu/sbl/liteSite.do?litesiteid=13432&articleId=20826";
    String awards_0_funder_name "WHOI Access to the Sea Fund";
    String awards_0_funding_acronym "Access to the Sea";
    String awards_0_funding_source_nid "396";
    String cdm_data_type "Other";
    String comment 
"Nitrogen and Oxygen Isotopes 
 PI: Karen Casciotti 
 Version: 05 June 2013";
    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 "2013-06-05T15:11:17Z";
    String date_modified "2019-11-06T16:08:16Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.3958.1";
    Float64 Easternmost_Easting -75.07;
    Float64 geospatial_lat_max -11.0;
    Float64 geospatial_lat_min -17.67;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -75.07;
    Float64 geospatial_lon_min -79.3;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 4879.8;
    Float64 geospatial_vertical_min 6.1;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-19T19:22:37Z (local files)
2024-11-19T19:22:37Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_3958.das";
    String infoUrl "https://www.bco-dmo.org/dataset/3958";
    String institution "BCO-DMO";
    String instruments_0_acronym "Niskin bottle";
    String instruments_0_dataset_instrument_description "Samples were collected from Niskin bottles.";
    String instruments_0_dataset_instrument_nid "6176";
    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 bottle";
    String instruments_1_acronym "IR Mass Spec";
    String instruments_1_dataset_instrument_description "All isotopic measurements were conducted on a Thermo Finnigan Delta PLUS XP isotope ratio mass spectrometer.";
    String instruments_1_dataset_instrument_nid "6178";
    String instruments_1_description "The Isotope-ratio Mass Spectrometer is a particular type of mass spectrometer used to measure the relative abundance of isotopes in a given sample (e.g. VG Prism II Isotope Ratio Mass-Spectrometer).";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB16/";
    String instruments_1_instrument_name "Isotope-ratio Mass Spectrometer";
    String instruments_1_instrument_nid "469";
    String instruments_1_supplied_name "Isotope-ratio Mass Spectrometer";
    String instruments_2_acronym "Nutrient Autoanalyzer";
    String instruments_2_dataset_instrument_description "Nitrate and nitrite concentrations were measured on separate aliquots by auto analyzer at the WHOI nutrient facility.";
    String instruments_2_dataset_instrument_nid "6177";
    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 "Nutrient Autoanalyzer";
    String keywords "altimetry, aou, AOU_umol_kg, AOU_umol_L, apparent, bco, bco-dmo, biological, chemical, chemistry, concentration, cruise, cruise_id, d15, D15_18, D15_18_sd, d15N_NO2, d15N_NO2_sd, d15N_NO3, d15N_NO3_sd, d18, d18O_NO3, d18O_NO3_sd, data, dataset, dd15, Dd15N, Dd15N_sd, deficit, density, density_in_situ, depth, din, DIN_deficit, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Nitrate, Earth Science > Oceans > Ocean Chemistry > Phosphate, erddap, laboratory, latitude, lon_360, longitude, management, mass, mass_concentration_of_phosphate_in_sea_water, mole, mole_concentration_of_nitrate_in_sea_water, mole_concentration_of_nitrite_in_sea_water, n02, nitrate, nitrite, no2, NO2_NO3, no3, NO3_deficit, NO3_expected, NO3_preformed, O2, ocean, oceanography, oceans, office, oxygen, phosphate, po4, preliminary, press, sal, satellite, science, sea, seawater, sigma, sigma_0, situ, station, temperature, umol, utilization, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/3958/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/3958";
    Float64 Northernmost_Northing -11.0;
    String param_mapping "{'3958': {'lat': 'master - latitude', 'depth': 'flag - depth', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3958/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Karen L. Casciotti";
    String people_0_person_nid "50980";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Woods Hole Oceanographic Institution";
    String people_1_affiliation_acronym "WHOI BCO-DMO";
    String people_1_person_name "Shannon Rauch";
    String people_1_person_nid "51498";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "N2O Cycling";
    String projects_0_acronym "N2O Cycling";
    String projects_0_description 
"The eastern tropical South Pacific (ETSP) is a hot spot for oceanic nitrogen cycling. This region of upwelling and high productivity fuels high rates of oxygen consumption below the mixed layer, nitrate regeneration from nitrification, and ultimately denitrification of nitrate to N2 gas. The climatically important trace gas nitrous oxide (N2O) also reaches extreme high concentrations in the oxycline and extreme low concentrations in the heart of the oxygen minimum zone (OMZ), indicating active cycling in this region. Despite many years of investigation, the mechanism of N2O production in this hot spot is ambiguous because of the potential overlap or coupling of nitrification and denitrification processes at low oxygen tensions.
The investigators employed novel stable isotopic techniques to identify processes involved with nitrous oxide production and consumption in the water column at multiple sites within the eastern tropical South Pacific. They also sought to map the natural distributions of nitrate, nitrite and nitrous oxide concentrations and isotopes at high spatial resolution in order to develop a dataset with which to constrain ocean models based on their rate measurements.
Incubation experiments were carried out at sea to quantify the rates of nitrification and N2O cycling in samples throughout the oxygen minimum zone. In addition, approximately 1000 samples were collected for nitrate and nitrite isotopic analysis and 500 samples for N2O isotopic analysis. The investigators worked closely with other researchers onboard to work towards developing the most coherent picture of nitrogen cycling in the eastern tropical Pacific to date.";
    String projects_0_end_date "2006-01";
    String projects_0_geolocation "Peruvian Oxygen Deficient Zone";
    String projects_0_name "Biogeochemistry of nitrous oxide cycling in the eastern tropical South Pacific";
    String projects_0_project_nid "2271";
    String projects_0_start_date "2005-01";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -17.67;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "cruise_id";
    String summary "Nitrate (d15N and d18O) and nitrite (d15N) isotopic data, and corresponding hydrographic data from R/V Knorr cruise KN182-09 in the Peruvian Oxygen Deficient Zone in 2005.";
    String title "[N and O isotopes] - Nitrate (d15N and d18O) and nitrite (d15N) isotopic data, and corresponding hydrographic data from R/V Knorr cruise KN182-09 in the Peruvian Oxygen Deficient Zone in 2005 (N2O Cycling project) (Biogeochemistry of nitrous oxide cycling in the eastern tropical South Pacific)";
    String version "1";
    Float64 Westernmost_Easting -79.3;
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

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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 Data Access Protocol (DAP) and its selection constraints.

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.

• (easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
• (easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
• (not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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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ERDDAP, Version 2.22
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