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Dataset Title:	[BLOOFINZ-IO net primary productivity (14C)] - Net primary productivity (14C) measurements made during quasi‐Lagrangian experiments on R/V Roger Revelle cruise RR2201 in the Argo basin in the Eastern Indian Ocean/Indonesian throughflow during February and March 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_945860_v1)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
Date (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2022-02-03"	"2022-02-22"
time (Ctd_iso_datetime_utc, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2022-02-03T19:22:00Z	2022-02-22T18:01:00Z
Event (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"20220203.1922.001"	"20220222.1801.001"
CTD_cast (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		11	128
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		114.1351	118.1424
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		-16.99946	-15.34938
Cycle_Day (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Cycle1_Day1"	"Cycle4_Day3"
Cycle (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"C1-1"	"C4-3"
Array_net (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	6
Cycle_Bottle (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"A"	"Dark"
Volume_ml (milliliters (ml))	!= =~ <= >= = < >		!= =~ <= >= = < >		280	280
Niskin_bottle (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	21
depth (m)	!= =~ <= >= = < >		!= =~ <= >= = < >		5	90
CPMA_SAMPLE (counts per minute)	!= =~ <= >= = < >		!= =~ <= >= = < >		49	13003
DPM_SAMPLE (disintegrations per minute (dpm))	!= =~ <= >= = < >		!= =~ <= >= = < >		52	13789
CPMA_TOTAL (counts per minute)	!= =~ <= >= = < >		!= =~ <= >= = < >		34	45236
DPM_TOTAL (disintegrations per minute (dpm))	!= =~ <= >= = < >		!= =~ <= >= = < >		36	48078
sample_blank (disintegrations per minute (dpm))	!= =~ <= >= = < >		!= =~ <= >= = < >		-98	13525
DIC (milligrams carbon per cubic meter (mg C m-3))	!= =~ <= >= = < >		!= =~ <= >= = < >		25200	25200
C_fix (milligrams carbon per cubin meter per day (mgC/m3/d))	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.1171397	13.97433
C_fix_AV (milligrams carbon per cubic meter per day (mgC/m3/d))	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.05644248	12.30129
C_fix_SD (milligrams carbon per cubic meter per day (mgC/m3/d))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.01073026	3.762743

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Date time Event CTD_cast longitude latitude Cycle_Day Cycle Array_net Cycle_Bottle Volume_ml Niskin_bottle depth CPMA_SAMPLE DPM_SAMPLE CPMA_TOTAL DPM_TOTAL sample_blank DIC C_fix C_fix_AV C_fix_SD Date time Event CTD_cast longitude latitude Cycle_Day Cycle Array_net Cycle_Bottle Volume_ml Niskin_bottle depth CPMA_SAMPLE DPM_SAMPLE CPMA_TOTAL DPM_TOTAL sample_blank DIC C_fix C_fix_AV C_fix_SD Date time Event CTD_cast longitude latitude Cycle_Day Cycle Array_net Cycle_Bottle Volume_ml Niskin_bottle depth CPMA_SAMPLE DPM_SAMPLE CPMA_TOTAL DPM_TOTAL sample_blank DIC C_fix C_fix_AV C_fix_SD Date time Event CTD_cast longitude latitude Cycle_Day Cycle Array_net Cycle_Bottle Volume_ml Niskin_bottle depth CPMA_SAMPLE DPM_SAMPLE CPMA_TOTAL DPM_TOTAL sample_blank DIC C_fix C_fix_AV C_fix_SD Date time Event CTD_cast longitude latitude Cycle_Day Cycle Array_net Cycle_Bottle Volume_ml Niskin_bottle depth CPMA_SAMPLE DPM_SAMPLE CPMA_TOTAL DPM_TOTAL sample_blank DIC C_fix C_fix_AV C_fix_SD ")

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 {
  Date {
    String long_name "Date";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.64391612e+9, 1.64555286e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Ctd_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";
  }
  Event {
    String long_name "Event";
    String units "unitless";
  }
  CTD_cast {
    Int32 actual_range 11, 128;
    String long_name "Ctd_cast";
    String units "unitless";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 114.1351, 118.1424;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -16.99946, -15.34938;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  Cycle_Day {
    String long_name "Cycle_day";
    String units "unitless";
  }
  Cycle {
    String long_name "Cycle";
    String units "unitless";
  }
  Array_net {
    Int32 actual_range 1, 6;
    String long_name "Array_net";
    String units "unitless";
  }
  Cycle_Bottle {
    String long_name "Cycle_bottle";
    String units "unitless";
  }
  Volume_ml {
    Int32 actual_range 280, 280;
    String long_name "Volume_ml";
    String units "milliliters (ml)";
  }
  Niskin_bottle {
    Int32 actual_range 1, 21;
    String long_name "Niskin_bottle";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Int32 actual_range 5, 90;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  CPMA_SAMPLE {
    Int32 actual_range 49, 13003;
    String long_name "Cpma_sample";
    String units "counts per minute";
  }
  DPM_SAMPLE {
    Int32 actual_range 52, 13789;
    String long_name "Dpm_sample";
    String units "disintegrations per minute (dpm)";
  }
  CPMA_TOTAL {
    Int32 actual_range 34, 45236;
    String long_name "Cpma_total";
    String units "counts per minute";
  }
  DPM_TOTAL {
    Int32 actual_range 36, 48078;
    String long_name "Dpm_total";
    String units "disintegrations per minute (dpm)";
  }
  sample_blank {
    Int32 actual_range -98, 13525;
    String long_name "Sample_blank";
    String units "disintegrations per minute (dpm)";
  }
  DIC {
    Int32 actual_range 25200, 25200;
    String long_name "Dic";
    String units "milligrams carbon per cubic meter (mg C m-3)";
  }
  C_fix {
    Float32 actual_range -0.1171397, 13.97433;
    String long_name "C_fix";
    String units "milligrams carbon per cubin meter per day (mgC/m3/d)";
  }
  C_fix_AV {
    Float32 actual_range -0.05644248, 12.30129;
    String long_name "C_fix_av";
    String units "milligrams carbon per cubic meter per day (mgC/m3/d)";
  }
  C_fix_SD {
    Float32 actual_range 0.01073026, 3.762743;
    String long_name "C_fix_sd";
    String units "milligrams carbon per cubic meter per day (mgC/m3/d)";
  }
 }
  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.945860.1";
    Float64 Easternmost_Easting 118.1424;
    Float64 geospatial_lat_max -15.34938;
    Float64 geospatial_lat_min -16.99946;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 118.1424;
    Float64 geospatial_lon_min 114.1351;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 90.0;
    Float64 geospatial_vertical_min 5.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2025-01-15T20:01:29Z (local files)
2025-01-15T20:01:29Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945860_v1.html";
    String infoUrl "https://www.bco-dmo.org/dataset/945860";
    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 -15.34938;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -16.99946;
    String summary "This dataset includes production measurements made during quasi‐Lagrangian experiments conducted during RR2201 aboard R/V Roger Revelle in February and March 2022. Water column samples were collected by Niskin bottle on a CTD rosette during 4 pseudo-Lagrangian cycles. Each cycle was  initiated during the evening hours by deploying a sediment trap array followed by an array used for in-situ incubations such as 14C primary productivity.";
    String time_coverage_end "2022-02-22T18:01:00Z";
    String time_coverage_start "2022-02-03T19:22:00Z";
    String title "[BLOOFINZ-IO net primary productivity (14C)] - Net primary productivity (14C) measurements made during quasi‐Lagrangian experiments on R/V Roger Revelle cruise RR2201 in the Argo basin in the Eastern Indian Ocean/Indonesian throughflow during February and March 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean)";
    Float64 Westernmost_Easting 114.1351;
  }
}

 

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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.
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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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