ERDDAP > tabledap > Data Access Form

Dataset Title:	[N2O isotopes in the Southern Benguela Upwelling System, February 2017] - Nutrient, CTD Profile, and Nitrous oxide data from the Southern Benguela Upwelling System (Integrated Environmental Programme, February 2017) (Collaborative Research: Exploring the dynamics of nitrous oxide in the Southern Benguela Upwelling System)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_969121_v1)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
Cruise_ID (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Alg235"	"Alg235"
Station_ID (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"SHBML001"	"SHBML014"
time (Iso_datetime_gmt, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2017-02-23T05:34:00Z	2017-02-24T08:47:00Z
Date (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2017-02-23"	"2017-02-24"
time_unitless (Time, unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"01:52"	"23:58"
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		-32.7433	-32.3022
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		16.43233	18.30633
Bottom_depth (meters (m))	!= =~ <= >= = < >		!= =~ <= >= = < >		20	1410
Pressure (decibars (db))	!= =~ <= >= = < >		!= =~ <= >= = < >		1	1001
depth (m)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.983	991.577
Temperature (degrees Celsius)	!= =~ <= >= = < >		!= =~ <= >= = < >		3.3338	19.2829
Salinity (practical salinity units (PSU))	!= =~ <= >= = < >		!= =~ <= >= = < >		34.3153	35.4163
Oxygen_mL_L (milliliters per liter (mL/L))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0177	9.0783
Oxygen_umol_kg (micromole per kg)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.7904997	405.446
Nitrate (micromolar (uM))	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.0020044	34.19481
Nitrite (micromolar (uM))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	1.765762
Phosphate (micromolar (uM))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.1550049	3.398092
Silicate (micromolar (uM))	!= =~ <= >= = < >		!= =~ <= >= = < >		1.035127	56.16784
N2O_equilibrium (nanomolar (nM))	!= =~ <= >= = < >		!= =~ <= >= = < >		7.758669	11.27122
N2O (nanomolar (nM))	!= =~ <= >= = < >		!= =~ <= >= = < >		7.544171	31.83251
D_N2O (nanomolar (nM))	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.37	21.96
d15N_N2O (per mille (‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		-1.231539	9.63768
d18O_N2O (per mille (‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		4.04	57.70157
d15N_Nitrate (per mille (‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		5.4	14.5
d18O_Nitrate (per mille (‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		2.3	12.4

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Cruise_ID Station_ID time Date time_unitless latitude longitude Bottom_depth Pressure depth Temperature Salinity Oxygen_mL_L Oxygen_umol_kg Nitrate Nitrite Phosphate Silicate N2O_equilibrium N2O D_N2O d15N_N2O d18O_N2O d15N_Nitrate d18O_Nitrate Cruise_ID Station_ID time Date time_unitless latitude longitude Bottom_depth Pressure depth Temperature Salinity Oxygen_mL_L Oxygen_umol_kg Nitrate Nitrite Phosphate Silicate N2O_equilibrium N2O D_N2O d15N_N2O d18O_N2O d15N_Nitrate d18O_Nitrate Cruise_ID Station_ID time Date time_unitless latitude longitude Bottom_depth Pressure depth Temperature Salinity Oxygen_mL_L Oxygen_umol_kg Nitrate Nitrite Phosphate Silicate N2O_equilibrium N2O D_N2O d15N_N2O d18O_N2O d15N_Nitrate d18O_Nitrate Cruise_ID Station_ID time Date time_unitless latitude longitude Bottom_depth Pressure depth Temperature Salinity Oxygen_mL_L Oxygen_umol_kg Nitrate Nitrite Phosphate Silicate N2O_equilibrium N2O D_N2O d15N_N2O d18O_N2O d15N_Nitrate d18O_Nitrate Cruise_ID Station_ID time Date time_unitless latitude longitude Bottom_depth Pressure depth Temperature Salinity Oxygen_mL_L Oxygen_umol_kg Nitrate Nitrite Phosphate Silicate N2O_equilibrium N2O D_N2O d15N_N2O d18O_N2O d15N_Nitrate d18O_Nitrate ")

File type: (more information) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .dataTable - A JSON file formatted for use with the Google Visualization client library (Google Charts). .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .dods - OPeNDAP clients use this to download the data in the DODS binary format. .esriCsv - Download a ISO_8859_1 .csv file for ESRI's ArcGIS 9.x and below (separate date and time columns). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .geoJson - Download longitude,latitude,otherColumns data as a UTF-8 GeoJSON .json file. .graph - View a Make A Graph web page. .help - View a web page with a description of tabledap. .html - View an OPeNDAP-style HTML Data Access Form. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .iso19115 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each response column becomes a wave. .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .jsonlCSV1 - View a UTF-8 JSON Lines CSV file with column names on line 1 (mv = 'null'; times are ISO 8601 strings). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = 'null'; times are ISO 8601 strings). .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .mat - Download a MATLAB binary file. .nc - Download a flat, table-like, NetCDF-3 binary file with COARDS/CF/ACDD metadata. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .ncCF - Download a NetCDF-3 CF Discrete Sampling Geometries file (Contiguous Ragged Array). .ncCFHeader - View the UTF-8 header (the metadata) for the .ncCF file. .ncCFMA - Download a NetCDF-3 CF Discrete Sampling Geometries file (Multidimensional Array). .ncCFMAHeader - View the UTF-8 header (the metadata) for the .ncCFMA file. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .odvTxt - Download longitude,latitude,time,otherColumns as an ISO-8859-1 ODV Generic Spreadsheet File (.txt). .subset - View an HTML form which uses faceted search to simplify picking subsets of the data. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .wav - Download a .wav audio file. All columns must be numeric and of the same type. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. Times are ISO 8601 strings. .kml - View a .kml file, suitable for Google Earth. .smallPdf - View a small .pdf image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .smallPng - View a small .png image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .largePng - View a large .png image file with a graph or map. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend).

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Cruise_ID {
    String long_name "Cruise_id";
    String units "unitless";
  }
  Station_ID {
    String long_name "Station_id";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.48782804e+9, 1.48792602e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Iso_datetime_gmt";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  time_unitless {
    String long_name "Time";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -32.7433, -32.3022;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 16.43233, 18.30633;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Bottom_depth {
    Int32 actual_range 20, 1410;
    String long_name "Bottom_depth";
    String units "meters (m)";
  }
  Pressure {
    Int32 actual_range 1, 1001;
    String long_name "Pressure";
    String units "decibars (db)";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 0.983, 991.577;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Temperature {
    Float32 actual_range 3.3338, 19.2829;
    String long_name "Temperature";
    String units "degrees Celsius";
  }
  Salinity {
    Float32 actual_range 34.3153, 35.4163;
    String long_name "Salinity";
    String units "practical salinity units (PSU)";
  }
  Oxygen_mL_L {
    Float32 actual_range 0.0177, 9.0783;
    String long_name "Oxygen_ml_l";
    String units "milliliters per liter (mL/L)";
  }
  Oxygen_umol_kg {
    Float32 actual_range 0.7904997, 405.446;
    String long_name "Oxygen_umol_kg";
    String units "micromole per kg";
  }
  Nitrate {
    Float32 actual_range -0.0020044, 34.19481;
    String long_name "Nitrate";
    String units "micromolar (uM)";
  }
  Nitrite {
    Float32 actual_range 0.0, 1.765762;
    String long_name "Nitrite";
    String units "micromolar (uM)";
  }
  Phosphate {
    Float32 actual_range 0.1550049, 3.398092;
    String long_name "Phosphate";
    String units "micromolar (uM)";
  }
  Silicate {
    Float32 actual_range 1.035127, 56.16784;
    String long_name "Silicate";
    String units "micromolar (uM)";
  }
  N2O_equilibrium {
    Float32 actual_range 7.758669, 11.27122;
    String long_name "N2o_equilibrium";
    String units "nanomolar (nM)";
  }
  N2O {
    Float32 actual_range 7.544171, 31.83251;
    String long_name "N2o";
    String units "nanomolar (nM)";
  }
  D_N2O {
    Float32 actual_range -0.37, 21.96;
    String long_name "D_n2o";
    String units "nanomolar (nM)";
  }
  d15N_N2O {
    Float32 actual_range -1.231539, 9.63768;
    String long_name "D15n_n2o";
    String units "per mille (‰)";
  }
  d18O_N2O {
    Float32 actual_range 4.04, 57.70157;
    String long_name "D18o_n2o";
    String units "per mille (‰)";
  }
  d15N_Nitrate {
    Float32 actual_range 5.4, 14.5;
    String long_name "D15n_nitrate";
    String units "per mille (‰)";
  }
  d18O_Nitrate {
    Float32 actual_range 2.3, 12.4;
    String long_name "D18o_nitrate";
    String units "per mille (‰)";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_url "https://www.bco-dmo.org/";
    String defaultDataQuery "&time<now";
    String doi "10.26008/1912/bco-dmo.969121.1";
    Float64 Easternmost_Easting 18.30633;
    Float64 geospatial_lat_max -32.3022;
    Float64 geospatial_lat_min -32.7433;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 18.30633;
    Float64 geospatial_lon_min 16.43233;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 991.577;
    Float64 geospatial_vertical_min 0.983;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2025-11-14T04:14:01Z (local files)
2025-11-14T04:14:01Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_969121_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/969121";
    String institution "BCO-DMO";
    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.";
    Float64 Northernmost_Northing -32.3022;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -32.7433;
    String summary "This dataset includes the CTD profile data, nutrients, and N2O concentration and isotope data for the 2017 IEP (Integrated Ecosystem Programme) off the west coast of South Africa in the Southern Benguela Upwelling system, on board the R/V Mirabilis. Data were collected using the following instruments: a rosette equipped with Sea-Bird SBE 911 CTD and oxygen (Sea-Bird SBD 43) sensors and 12 6-liter Niskin bottles, a Lachat QuickChem® flow injection auto-analysis (FIA) platform, a Turner Designs Trilogy fluorometer equipped with a UV module, and a Gas Chromatography (GC)-IRMS analyser. Low oxygen zones are hotspots for N2O production. We assessed the mechanisms of N2O production using isotope data in the Southern Benguela Upwelling System. Measurements took place in the Marine Biogeochemistry Lab at the University of Cape Town and the Bourbonnais Lab at the University of South Carolina.";
    String time_coverage_end "2017-02-24T08:47:00Z";
    String time_coverage_start "2017-02-23T05:34:00Z";
    String title "[N2O isotopes in the Southern Benguela Upwelling System, February 2017] - Nutrient, CTD Profile, and Nitrous oxide data from the Southern Benguela Upwelling System (Integrated Environmental Programme, February 2017) (Collaborative Research: Exploring the dynamics of nitrous oxide in the Southern Benguela Upwelling System)";
    Float64 Westernmost_Easting 16.43233;
  }
}

 

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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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