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Dataset Title:	[Pico- and nanoplankton abundance: FCM: EN532 and EN538] - Pico- and Nanoplankton concentrations from CTD cast deployments collected from the R/V Endeavor (EN532, EN538) cruises in the subarctic Atlantic Ocean from 2013- 2014 (Functional diversity of marine eukaryotic phytoplankton and their contributions to the C and N cycling)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_651890_v2)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
cruise_id (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"EN532"	"EN538"
cast (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		2	41
time (Iso_datetime_utc, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2013-08-23T09:07:25Z	2014-05-20T05:16:09Z
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		35.547	60.0
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-73.265	-19.988
lon_360 (decimal degrees)	!= =~ <= >= = < >		!= =~ <= >= = < >		286.735	340.012
depth_w (meters)	!= =~ <= >= = < >		!= =~ <= >= = < >		52	5085
depth (m)	!= =~ <= >= = < >		!= =~ <= >= = < >		5	4000
Syn_biomass_nMC (nanomoles Carbon per liter (nmol C/liter))	!= =~ <= >= = < >		!= =~ <= >= = < >		0	846
Syn_cells_per_ml (cells/milliliter)	!= =~ <= >= = < >		!= =~ <= >= = < >		10	71852
Syn_cells_per_ml_flag (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	9
picoEuk_biomass_nMC (nanomoles Carbon per liter (nmol C/liter))	!= =~ <= >= = < >		!= =~ <= >= = < >		0	1044
picoEuk_cells_per_ml (cells/milliliter)	!= =~ <= >= = < >		!= =~ <= >= = < >		7	23013
picoEuk_cells_per_ml_flag (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	9
PE_Euk_biomass_nMC (nanomoles Carbon per liter (nmol C/liter))	!= =~ <= >= = < >		!= =~ <= >= = < >		0	4814
PE_Euk_cells_per_ml (cells/milliliter)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	3845
PE_Euk_cells_per_ml_flag (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	9
totnanoEuk_biomass_nMC (nanomoles Carbon per liter (nmol C/liter))	!= =~ <= >= = < >		!= =~ <= >= = < >		3	12512
totnanoEuk_cells_per_ml (cells/milliliter)	!= =~ <= >= = < >		!= =~ <= >= = < >		2	6426
totnanoEuk_cells_per_ml_flag (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	9
cocco_biomass_nMC (nanomoles Carbon per liter (nmol C/liter))	!= =~ <= >= = < >		!= =~ <= >= = < >		0	767
cocco_cells_per_ml (cells/milliliter)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	346
cocco_cells_per_ml_flag (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	9
Prochlor_biomass_nMC (nanomoles Carbon per liter (nmol C/liter))	!= =~ <= >= = < >		!= =~ <= >= = < >		0	640
Prochlor_cells_per_ml (cells/milliliter)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	143650
Prochlor_cells_per_ml_flag (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	9
total_FC_phyto_biomass_nMC (nanomoles Carbon per liter (nmol C/liter))	!= =~ <= >= = < >		!= =~ <= >= = < >		4	12670
total_FC_phyto_cells_per_ml (cells/milliliter)	!= =~ <= >= = < >		!= =~ <= >= = < >		76	151089
total_FC_phyto_cells_per_ml_flag (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	9
total_het_bact_cells_per_ml (cells/milliliter)	!= =~ <= >= = < >		!= =~ <= >= = < >		20027	2004105
total_het_bact_cells_per_ml_flag (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	9
comment (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"average_of_two_sam..."	"from_6h_PP_incubat..."

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" cruise_id cast time latitude longitude lon_360 depth_w depth Syn_biomass_nMC Syn_cells_per_ml Syn_cells_per_ml_flag picoEuk_biomass_nMC picoEuk_cells_per_ml picoEuk_cells_per_ml_flag PE_Euk_biomass_nMC PE_Euk_cells_per_ml PE_Euk_cells_per_ml_flag totnanoEuk_biomass_nMC totnanoEuk_cells_per_ml totnanoEuk_cells_per_ml_flag cocco_biomass_nMC cocco_cells_per_ml cocco_cells_per_ml_flag Prochlor_biomass_nMC Prochlor_cells_per_ml Prochlor_cells_per_ml_flag total_FC_phyto_biomass_nMC total_FC_phyto_cells_per_ml total_FC_phyto_cells_per_ml_flag total_het_bact_cells_per_ml total_het_bact_cells_per_ml_flag comment cruise_id cast time latitude longitude lon_360 depth_w depth Syn_biomass_nMC Syn_cells_per_ml Syn_cells_per_ml_flag picoEuk_biomass_nMC picoEuk_cells_per_ml picoEuk_cells_per_ml_flag PE_Euk_biomass_nMC PE_Euk_cells_per_ml PE_Euk_cells_per_ml_flag totnanoEuk_biomass_nMC totnanoEuk_cells_per_ml totnanoEuk_cells_per_ml_flag cocco_biomass_nMC cocco_cells_per_ml cocco_cells_per_ml_flag Prochlor_biomass_nMC Prochlor_cells_per_ml Prochlor_cells_per_ml_flag total_FC_phyto_biomass_nMC total_FC_phyto_cells_per_ml total_FC_phyto_cells_per_ml_flag total_het_bact_cells_per_ml total_het_bact_cells_per_ml_flag comment cruise_id cast time latitude longitude lon_360 depth_w depth Syn_biomass_nMC Syn_cells_per_ml Syn_cells_per_ml_flag picoEuk_biomass_nMC picoEuk_cells_per_ml picoEuk_cells_per_ml_flag PE_Euk_biomass_nMC PE_Euk_cells_per_ml PE_Euk_cells_per_ml_flag totnanoEuk_biomass_nMC totnanoEuk_cells_per_ml totnanoEuk_cells_per_ml_flag cocco_biomass_nMC cocco_cells_per_ml cocco_cells_per_ml_flag Prochlor_biomass_nMC Prochlor_cells_per_ml Prochlor_cells_per_ml_flag total_FC_phyto_biomass_nMC total_FC_phyto_cells_per_ml total_FC_phyto_cells_per_ml_flag total_het_bact_cells_per_ml total_het_bact_cells_per_ml_flag comment cruise_id cast time latitude longitude lon_360 depth_w depth Syn_biomass_nMC Syn_cells_per_ml Syn_cells_per_ml_flag picoEuk_biomass_nMC picoEuk_cells_per_ml picoEuk_cells_per_ml_flag PE_Euk_biomass_nMC PE_Euk_cells_per_ml PE_Euk_cells_per_ml_flag totnanoEuk_biomass_nMC totnanoEuk_cells_per_ml totnanoEuk_cells_per_ml_flag cocco_biomass_nMC cocco_cells_per_ml cocco_cells_per_ml_flag Prochlor_biomass_nMC Prochlor_cells_per_ml Prochlor_cells_per_ml_flag total_FC_phyto_biomass_nMC total_FC_phyto_cells_per_ml total_FC_phyto_cells_per_ml_flag total_het_bact_cells_per_ml total_het_bact_cells_per_ml_flag comment cruise_id cast time latitude longitude lon_360 depth_w depth Syn_biomass_nMC Syn_cells_per_ml Syn_cells_per_ml_flag picoEuk_biomass_nMC picoEuk_cells_per_ml picoEuk_cells_per_ml_flag PE_Euk_biomass_nMC PE_Euk_cells_per_ml PE_Euk_cells_per_ml_flag totnanoEuk_biomass_nMC totnanoEuk_cells_per_ml totnanoEuk_cells_per_ml_flag cocco_biomass_nMC cocco_cells_per_ml cocco_cells_per_ml_flag Prochlor_biomass_nMC Prochlor_cells_per_ml Prochlor_cells_per_ml_flag total_FC_phyto_biomass_nMC total_FC_phyto_cells_per_ml total_FC_phyto_cells_per_ml_flag total_het_bact_cells_per_ml total_het_bact_cells_per_ml_flag comment ")

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";
  }
  cast {
    Int32 actual_range 2, 41;
    String long_name "Cast";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.377248845e+9, 1.400562969e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 35.547, 60.0;
    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 -73.265, -19.988;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  lon_360 {
    Float32 actual_range 286.735, 340.012;
    String long_name "Lon_360";
    String units "decimal degrees";
  }
  depth_w {
    Int32 actual_range 52, 5085;
    String long_name "Depth_w";
    String units "meters";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Int32 actual_range 5, 4000;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Syn_biomass_nMC {
    Int32 actual_range 0, 846;
    String long_name "Syn_biomass_nmc";
    String units "nanomoles Carbon per liter (nmol C/liter)";
  }
  Syn_cells_per_ml {
    Int32 actual_range 10, 71852;
    String long_name "Syn_cells_per_ml";
    String units "cells/milliliter";
  }
  Syn_cells_per_ml_flag {
    Int32 actual_range 1, 9;
    String long_name "Syn_cells_per_ml_flag";
    String units "unitless";
  }
  picoEuk_biomass_nMC {
    Int32 actual_range 0, 1044;
    String long_name "Picoeuk_biomass_nmc";
    String units "nanomoles Carbon per liter (nmol C/liter)";
  }
  picoEuk_cells_per_ml {
    Int32 actual_range 7, 23013;
    String long_name "Picoeuk_cells_per_ml";
    String units "cells/milliliter";
  }
  picoEuk_cells_per_ml_flag {
    Int32 actual_range 1, 9;
    String long_name "Picoeuk_cells_per_ml_flag";
    String units "unitless";
  }
  PE_Euk_biomass_nMC {
    Int32 actual_range 0, 4814;
    String long_name "Pe_euk_biomass_nmc";
    String units "nanomoles Carbon per liter (nmol C/liter)";
  }
  PE_Euk_cells_per_ml {
    Int32 actual_range 0, 3845;
    String long_name "Pe_euk_cells_per_ml";
    String units "cells/milliliter";
  }
  PE_Euk_cells_per_ml_flag {
    Int32 actual_range 1, 9;
    String long_name "Pe_euk_cells_per_ml_flag";
    String units "unitless";
  }
  totnanoEuk_biomass_nMC {
    Int32 actual_range 3, 12512;
    String long_name "Totnanoeuk_biomass_nmc";
    String units "nanomoles Carbon per liter (nmol C/liter)";
  }
  totnanoEuk_cells_per_ml {
    Int32 actual_range 2, 6426;
    String long_name "Totnanoeuk_cells_per_ml";
    String units "cells/milliliter";
  }
  totnanoEuk_cells_per_ml_flag {
    Int32 actual_range 1, 9;
    String long_name "Totnanoeuk_cells_per_ml_flag";
    String units "unitless";
  }
  cocco_biomass_nMC {
    Int32 actual_range 0, 767;
    String long_name "Cocco_biomass_nmc";
    String units "nanomoles Carbon per liter (nmol C/liter)";
  }
  cocco_cells_per_ml {
    Int32 actual_range 0, 346;
    String long_name "Cocco_cells_per_ml";
    String units "cells/milliliter";
  }
  cocco_cells_per_ml_flag {
    Int32 actual_range 1, 9;
    String long_name "Cocco_cells_per_ml_flag";
    String units "unitless";
  }
  Prochlor_biomass_nMC {
    Int32 actual_range 0, 640;
    String long_name "Prochlor_biomass_nmc";
    String units "nanomoles Carbon per liter (nmol C/liter)";
  }
  Prochlor_cells_per_ml {
    Int32 actual_range 0, 143650;
    String long_name "Prochlor_cells_per_ml";
    String units "cells/milliliter";
  }
  Prochlor_cells_per_ml_flag {
    Int32 actual_range 1, 9;
    String long_name "Prochlor_cells_per_ml_flag";
    String units "unitless";
  }
  total_FC_phyto_biomass_nMC {
    Int32 actual_range 4, 12670;
    String long_name "Total_fc_phyto_biomass_nmc";
    String units "nanomoles Carbon per liter (nmol C/liter)";
  }
  total_FC_phyto_cells_per_ml {
    Int32 actual_range 76, 151089;
    String long_name "Total_fc_phyto_cells_per_ml";
    String units "cells/milliliter";
  }
  total_FC_phyto_cells_per_ml_flag {
    Int32 actual_range 1, 9;
    String long_name "Total_fc_phyto_cells_per_ml_flag";
    String units "unitless";
  }
  total_het_bact_cells_per_ml {
    Int32 actual_range 20027, 2004105;
    String long_name "Total_het_bact_cells_per_ml";
    String units "cells/milliliter";
  }
  total_het_bact_cells_per_ml_flag {
    Int32 actual_range 1, 9;
    String long_name "Total_het_bact_cells_per_ml_flag";
    String units "unitless";
  }
  comment {
    String long_name "Comment";
    String units "unitless";
  }
 }
  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.651890.2";
    Float64 Easternmost_Easting -19.988;
    Float64 geospatial_lat_max 60.0;
    Float64 geospatial_lat_min 35.547;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -19.988;
    Float64 geospatial_lon_min -73.265;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 4000.0;
    Float64 geospatial_vertical_min 5.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2025-04-03T12:36:56Z (local files)
2025-04-03T12:36:56Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_651890_v2.html";
    String infoUrl "https://www.bco-dmo.org/dataset/651890";
    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 60.0;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 35.547;
    String summary "This dataset includes pico- and nanoplankton concentrations from CTD cast deployments collected from the R/V Endeavor (EN532, EN538) cruises in the subarctic Atlantic Ocean from 2013-2014.";
    String time_coverage_end "2014-05-20T05:16:09Z";
    String time_coverage_start "2013-08-23T09:07:25Z";
    String title "[Pico- and nanoplankton abundance: FCM: EN532 and EN538] - Pico- and Nanoplankton concentrations from CTD cast deployments collected from the R/V Endeavor (EN532, EN538) cruises in the subarctic Atlantic Ocean from 2013-2014 (Functional diversity of marine eukaryotic phytoplankton and their contributions to the C and N cycling)";
    Float64 Westernmost_Easting -73.265;
  }
}

 

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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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