Make A Graph

Dataset Title:	Contaminants v2025 North Sea Biota Timeseries
Institution:	EMODnet Chemistry (Dataset ID: CONTAMINANTS_NORTHSEA_BIOTA_TIMESERIES)
Range:	longitude = -9.631714 to 12.3811°E, latitude = 48.034092 to 61.0114°N, time = 1979-02-26T00:00:00Z to 2022-09-15T12:00:00Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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Constraints	Optional Constraint #1		Optional Constraint #2

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distinct()

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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Cruise {
    String ioos_category "Identifier";
    String long_name "Dataset grouping Label";
    String qf_schema "SEADATANET";
    String significant_digits "0";
    String value_type "INDEXED_TEXT";
    String var_type "METACRUISE";
  }
  Station {
    String ioos_category "Identifier";
    String long_name "Dataset Label";
    String qf_schema "SEADATANET";
    String significant_digits "0";
    String value_type "INDEXED_TEXT";
    String var_type "METASTATION";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 2.888352e+8, 1.6632432e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "YYYY-MM-DD THH:MM:SS.SSS";
    String source_name "time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -9.631714, 12.3811;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String qf_schema "SEADATANET";
    String significant_digits "3";
    String source_name "Longitude [degrees_east]";
    String standard_name "longitude";
    String units "degrees_east";
    String value_type "FLOAT";
    String var_type "METALONGITUDE";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 48.034092, 61.011398;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String qf_schema "SEADATANET";
    String significant_digits "3";
    String source_name "Latitude [degrees_north]";
    String standard_name "latitude";
    String units "degrees_north";
    String value_type "FLOAT";
    String var_type "METALATITUDE";
  }
  LOCAL_CDI_ID {
    String ioos_category "Identifier";
    String long_name "SeaDataNet CDI Identifier";
    String qf_schema "SEADATANET";
    String significant_digits "0";
    String value_type "INDEXED_TEXT";
    String var_type "METALOCALCDIID";
  }
  EDMO_code {
    Int16 _FillValue 32767;
    Int16 actual_range 43, 1578;
    String conventions "https://edmo.seadatanet.org/";
    String ioos_category "Unknown";
    String long_name 
"European Directory of Marine Organisations code for the CDI
                    partner";
    String qf_schema "SEADATANET";
    String significant_digits "0";
    String value_type "INTEGER";
    String var_type "METAEDMOCODE";
  }
  Bot_Depth {
    Float32 _FillValue 32767.0;
    Float32 actual_range 0.0, 537.6;
    String ioos_category "Location";
    String long_name 
"Bathymetric water depth in metres where the sample was
                    collected or measurement was made";
    String qf_schema "SEADATANET";
    String significant_digits "0";
    String value_type "FLOAT";
    String var_type "METABOTDEPTH";
  }
  Instrument_Info {
    String conventions "https://vocab.nerc.ac.uk/collection/L22/current/";
    String ioos_category "Unknown";
    String long_name "Instrument Info";
    String qf_schema "SEADATANET";
    String significant_digits "0";
    String value_type "INDEXED_TEXT";
    String var_type "METASDNINSTRUMENTINFO";
  }
  References {
    String ioos_category "Unknown";
    String long_name "References";
    String qf_schema "SEADATANET";
    String significant_digits "0";
    String value_type "INDEXED_TEXT";
    String var_type "METAREFERENCE";
  }
  Datum {
    String conventions "https://vocab.nerc.ac.uk/collection/L10/current/";
    String ioos_category "Location";
    String long_name "Datum";
    String qf_schema "SEADATANET";
    String significant_digits "0";
    String value_type "INDEXED_TEXT";
    String var_type "METABASIC";
  }
  Water_depth {
    Float32 _FillValue NaN;
    Float32 actual_range 3.9e-4, 537.6;
    String ioos_category "Location";
    String long_name "Water Depth [m]";
    String qf_schema "SEADATANET";
    String significant_digits "2";
    String value_type "FLOAT";
    String var_type "METABASIC";
  }
  Depth_reference {
    String conventions "https://vocab.nerc.ac.uk/collection/L11/current/";
    String ioos_category "Location";
    String long_name "Depth";
    String qf_schema "SEADATANET";
    String significant_digits "0";
    String standard_name "depth";
    String value_type "INDEXED_TEXT";
    String var_type "METABASIC";
  }
  Minimum_instrument_depth {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 40;
    String ioos_category "Location";
    String long_name "Minimum Instrument Depth [m]";
    String qf_schema "SEADATANET";
    String significant_digits "2";
    String value_type "FLOAT";
    String var_type "METABASIC";
  }
  Maximum_instrument_depth {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 40;
    String ioos_category "Location";
    String long_name "Maximum Instrument Depth [m]";
    String qf_schema "SEADATANET";
    String significant_digits "2";
    String value_type "FLOAT";
    String var_type "METABASIC";
  }
  Instrument_gear_type {
    String conventions "https://vocab.nerc.ac.uk/collection/L05/current/";
    String ioos_category "Unknown";
    String long_name "Instrument / Gear Type";
    String qf_schema "SEADATANET";
    String significant_digits "0";
    String value_type "INDEXED_TEXT";
    String var_type "METABASIC";
  }
  Station_name {
    String ioos_category "Identifier";
    String long_name "Station Name";
    String qf_schema "SEADATANET";
    String significant_digits "0";
    String value_type "INDEXED_TEXT";
    String var_type "METABASIC";
  }
  Originator {
    String conventions "https://edmo.seadatanet.org/";
    String ioos_category "Unknown";
    String long_name "Originator of the data";
    String qf_schema "SEADATANET";
    String significant_digits "0";
    String value_type "INDEXED_TEXT";
    String var_type "METABASIC";
  }
  Project_name {
    String conventions "https://edmerp.seadatanet.org/";
    String ioos_category "Identifier";
    String long_name "Project Name";
    String qf_schema "SEADATANET";
    String significant_digits "0";
    String value_type "INDEXED_TEXT";
    String var_type "METAPROJECT";
  }
  EDMED_references {
    String conventions "https://edmed.seadatanet.org/";
    String ioos_category "Unknown";
    String long_name 
"European Directory of Marine Environmental Datasets (EDMED)
                    References";
    String qf_schema "SEADATANET";
    String significant_digits "0";
    String value_type "INDEXED_TEXT";
    String var_type "METABASIC";
  }
  Access_restriction {
    String conventions "https://vocab.nerc.ac.uk/collection/L08/current/";
    String ioos_category "Unknown";
    String long_name "Data Access Policy";
    String qf_schema "SEADATANET";
    String significant_digits "0";
    String value_type "INDEXED_TEXT";
    String var_type "METABASIC";
  }
  CDI_record_id {
    Int32 _FillValue 2147483647;
    Int32 actual_range 956407, 3663870;
    String ioos_category "Identifier";
    String long_name "Global SeaDataNet CDI Identifier";
    String qf_schema "SEADATANET";
    String significant_digits "0";
    String value_type "INTEGER";
    String var_type "METABASIC";
  }
  Sample_identifier {
    String conventions "https://vocab.nerc.ac.uk/collection/P01/current/SAMPID01/";
    String ioos_category "Identifier";
    String long_name "Sample Identifier";
  }
  Subsample_identifier {
    String conventions "https://vocab.nerc.ac.uk/collection/P01/current/SSAMID01/";
    String ioos_category "Identifier";
    String long_name "Subsample Identifier";
  }
  ODV_internal_sample_number {
    Int16 _FillValue 32767;
    Int16 actual_range 1, 128;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Identifier";
    String long_name "ODV Internal Sample Number";
  }
  time_ISO8601 {
    Float64 actual_range 1979.1534, 2022.78;
    String conventions "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String ioos_category "Time";
    String long_name "Time of the measurement in iso8601 format";
  }
  QV_SEADATANET_time_ISO8601 {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 5;
    String ioos_category "Quality";
    String long_name "QV:SEADATANET:time ISO8601";
  }
  Value {
    Float64 actual_range 0.0, 7380000.0;
    String ioos_category "Unknown";
    String long_name "Value";
  }
  QV_SEADATANET_Value {
    String ioos_category "Quality";
    String long_name "QV:SEADATANET:Value";
  }
  Units {
    String conventions "https://vocab.nerc.ac.uk/collection/P06/current/";
    String ioos_category "Unknown";
    String long_name "Units";
  }
  P01_conceptid {
    String conventions "https://vocab.nerc.ac.uk/collection/P01/current/";
    String ioos_category "Unknown";
    String long_name "Measured parameter id according to P01 vocabulary";
  }
  P01_preflabel {
    String conventions "https://vocab.nerc.ac.uk/collection/P01/current/";
    String ioos_category "Unknown";
    String long_name "Preferred label of measured parameter according to P01 vocabulary";
  }
  S06_preflabel {
    String conventions "https://vocab.nerc.ac.uk/collection/S06/current/";
    String ioos_category "Unknown";
    String long_name "Preferred label of measured property according to S06 vocabulary";
  }
  S07_preflabel {
    String conventions "https://vocab.nerc.ac.uk/collection/S07/current/";
    String ioos_category "Unknown";
    String long_name "Preferred label of the statistic property according to S07 vocabulary";
  }
  S27_preflabel {
    String conventions "https://vocab.nerc.ac.uk/collection/S27/current/";
    String ioos_category "Unknown";
    String long_name "Preferred label of measured chemical substance according to S27 vocabulary";
  }
  S27_altlabel {
    String conventions "https://vocab.nerc.ac.uk/collection/S27/current/";
    String ioos_category "Unknown";
    String long_name "Alternative label of measured chemical substance according to S27 vocabulary";
  }
  CAS_no {
    String ioos_category "Unknown";
    String long_name "CAS No";
  }
  S02_preflabel {
    String conventions "https://vocab.nerc.ac.uk/collection/S02/current/";
    String ioos_category "Unknown";
    String long_name "Preferred label of the S02 vocabulary term";
  }
  S26_preflabel {
    String conventions "https://vocab.nerc.ac.uk/collection/S26/current/";
    String ioos_category "Unknown";
    String long_name "Preferred label of the matrix where the parameter was measured according to S26 vocabulary";
  }
  S25_preflabel {
    String conventions "https://vocab.nerc.ac.uk/collection/S25/current/";
    String ioos_category "Unknown";
    String long_name "Preferred label of the biological entity where the parameter was measured according to S25 vocabulary";
  }
  S03_preflabel {
    String conventions "https://vocab.nerc.ac.uk/collection/S03/current/";
    String ioos_category "Unknown";
    String long_name "Preferred label of the sample preparation according to S03 vocabulary";
  }
  S04_preflabel {
    String conventions "https://vocab.nerc.ac.uk/collection/S04/current/";
    String ioos_category "Unknown";
    String long_name "Preferred label of the analytical method according to S04 vocabulary";
  }
  S05_preflabel {
    String conventions "https://vocab.nerc.ac.uk/collection/S05/current/";
    String ioos_category "Unknown";
    String long_name "Preferred label of the data processing according to S05 vocabulary";
  }
  S21_preflabel {
    String conventions "https://vocab.nerc.ac.uk/collection/S21/current/";
    String ioos_category "Unknown";
    String long_name "Preferred label of the measured matrix according to S21 vocabulary";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Point";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    Float64 Easternmost_Easting 12.3811;
    String featureType "Point";
    Float64 geospatial_lat_max 61.011398;
    Float64 geospatial_lat_min 48.034092;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 12.3811;
    Float64 geospatial_lon_min -9.631714;
    String geospatial_lon_units "degrees_east";
    String history 
"2026-02-06T19:03:26Z (local files)
2026-02-06T19:03:26Z http://erddap.emodnet-chemistry.eu/tabledap/CONTAMINANTS_NORTHSEA_BIOTA_TIMESERIES.das";
    String infoUrl "https://doi.org/10.13120/6467a794-74e5-4695-b1ec-8d1cfdbcbb8a";
    String institution "EMODnet Chemistry";
    String keywords "access, Access_restriction, altlabel, bot, Bot_Depth, cas, CAS_no, cdi, cdi-record, CDI_record_id, code, conceptid, cruise, data, datum, depth, Depth_reference, edmed, EDMED_references, edmo, EDMO_code, gear, identifier, info, instrument, Instrument_gear_type, Instrument_Info, internal, iso8601, latitude, local, LOCAL_CDI_ID, longitude, maximum, Maximum_instrument_depth, minimum, Minimum_instrument_depth, name, number, ocean, odv, ODV_internal_sample_number, originator, p01, P01_conceptid, P01_preflabel, preflabel, project, Project_name, QV_SEADATANET_time_ISO8601, QV_SEADATANET_Value, record, references, restriction, s02, S02_preflabel, s03, S03_preflabel, s04, S04_preflabel, s05, S05_preflabel, s06, S06_preflabel, s07, S07_preflabel, s21, S21_preflabel, s25, S25_preflabel, s26, S26_preflabel, s27, S27_altlabel, S27_preflabel, sample, Sample_identifier, seadatanet, source, ss.sss, station, Station_name, statistics, subsample, Subsample_identifier, thh, time, time_ISO8601, type, units, value, view, water, Water_depth, yyyy, yyyy-mm-dd";
    String license 
"Usage is subject to mandatory citation: \"This resource was generated in the framework of EMODnet Chemistry, under the
                support of DG MARE Call for Tender EASME/EMFF/2020/3.1.11/European Marine Observation and Data Network (EMODnet) - Lot 5 - Chemistry\"";
    Float64 Northernmost_Northing 61.011398;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 48.034092;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Contaminants v2025 North Sea Biota Timeseries";
    String time_coverage_end "2022-09-15T12:00:00Z";
    String time_coverage_start "1979-02-26T00:00:00Z";
    String title "Contaminants v2025 North Sea Biota Timeseries";
    Float64 Westernmost_Easting -9.631714;
  }
}

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 (external link)

Data Access Protocol (DAP) (external link)

and its selection constraints (external link)

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.