ERDDAP > tabledap > Data Access Form

Dataset Title:	SOOS - Epipelagic mesozooplankton distribution and abundance in Southern Ocean
Institution:	British Antarctic Survey   (Dataset ID: BONGO_NETS)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
Net	!= =~ <= >= = < >		!= =~ <= >= = < >		"Bongo 100"	"Bongo 50"
Maxdepth	!= =~ <= >= = < >		!= =~ <= >= = < >		50	400
Cruise_name	!= =~ <= >= = < >		!= =~ <= >= = < >		"JR19960103"	"JR20130109"
Event_name	!= =~ <= >= = < >		!= =~ <= >= = < >		"JR100_Bongo02"	"JR82_Bongo170"
time (Start Of Event, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		-65.1285	79.05749
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-69.28211	26.06155
End_of_event	!= =~ <= >= = < >		!= =~ <= >= = < >		"01/01/2001 04:27"	"31/12/2004 08:52"
Taxon_name	!= =~ <= >= = < >		!= =~ <= >= = < >		"Acartia clausi"	"jelly mass"
Taxon_class	!= =~ <= >= = < >		!= =~ <= >= = < >		"C1"	"zoeae"
Abundance (Abundance (m-2))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	1664638.72
Scientist	!= =~ <= >= = < >		!= =~ <= >= = < >		"Peter Ward"	"Rachel Shreeve/Pet..."

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Net Maxdepth Cruise_name Event_name time latitude longitude End_of_event Taxon_name Taxon_class Abundance Scientist Net Maxdepth Cruise_name Event_name time latitude longitude End_of_event Taxon_name Taxon_class Abundance Scientist Net Maxdepth Cruise_name Event_name time latitude longitude End_of_event Taxon_name Taxon_class Abundance Scientist Net Maxdepth Cruise_name Event_name time latitude longitude End_of_event Taxon_name Taxon_class Abundance Scientist Net Maxdepth Cruise_name Event_name time latitude longitude End_of_event Taxon_name Taxon_class Abundance Scientist ")

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).

(Documentation / Bypass this form )
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Net {
    String long_name "Net";
  }
  Maxdepth {
    Int16 actual_range 50, 400;
    String long_name "Maxdepth";
  }
  Cruise_name {
    String long_name "Cruise Name (click For Details)";
  }
  Event_name {
    String long_name "Event Name";
  }
  time {
    String _CoordinateAxisType "Time";
    String axis "T";
    String ioos_category "Time";
    String long_name "Start Of Event";
    String source_name "Start_of_event";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -65.1285, 79.05749;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -69.28211, 26.06155;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  End_of_event {
    String long_name "End Of Event";
    String source_name "End_of_event";
  }
  Taxon_name {
    String long_name "Taxon Name";
  }
  Taxon_class {
    String long_name "Taxon Class";
  }
  Abundance {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 1664638.72;
    String long_name "Abundance (m-2)";
  }
  Scientist {
    String long_name "Scientist";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Point";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "British Antarctic Survey";
    String creator_url "https://data.bas.ac.uk/metadata.php?id=GB/NERC/BAS/PDC/01316";
    Float64 Easternmost_Easting 26.06155;
    String featureType "Point";
    Float64 geospatial_lat_max 79.05749;
    Float64 geospatial_lat_min -65.1285;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 26.06155;
    Float64 geospatial_lon_min -69.28211;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-12-22T06:12:25Z (local files)
2024-12-22T06:12:25Z https://erddap.sochic-h2020.eu/erddap/tabledap/BONGO_NETS.html";
    String infoUrl "https://data.bas.ac.uk/metadata.php?id=GB/NERC/BAS/PDC/01316";
    String institution "British Antarctic Survey";
    String keywords "abundance, antarctic, array, array-data, british, class, click, comprehensive, cruise, Cruise_name, data, details, distribution, end, End_lat, End_lon, End_of_event, epipelagic, event, Event_name, large, latitude, longitude, m-2, maxdepth, mesozooplankton, name, net, ocean, scientist, southern, start, stewardship, survey, system, taxon, Taxon_class, Taxon_name, time";
    String license "Creative Commons Attribution Share-Alike http://www.opendefinition.org/licenses/cc-by-sa";
    Float64 Northernmost_Northing 79.05749;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -65.1285;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Mesozooplankton were collected with a motion-compensated Bongo net (61 cm mouth diameter, 100 and 200 micrometre meshes) and a mini- Bongo net (18 cm mouth diameter, 50 micrometre mesh nets). Both nets fished to a maximum depth of 400 m but sometimes shallower. Specimens were categorised to the lowest possible taxonomic level, which in some cases encompassed developmental stages but in other cases was limited to higher order taxa. Each taxa was enumerated to determine abundance in units of individuals m-2. The dataset allows examination of the distribution and abundance of these species within the Atlantic sector of the Southern Ocean over a number of years and covering much of the productive season from spring to autumn. The data for the North Atlantic and Arctic covers one season only (summer) and is limited to providing a spatial perspective on the distribution and abundance of mesozooplankton.";
    String title "SOOS - Epipelagic mesozooplankton distribution and abundance in Southern Ocean";
    Float64 Westernmost_Easting -69.28211;
  }
}

 

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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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