Make A Graph

Dataset Title:	Interpolated abundance based on presence/absence of Calanus_finmarchicus and Calanus_helgolandicus
Institution:	University of Liege and Marine Biological Association (Dataset ID: biology_8220_a8b5_8cec_1c23)
Information:	Summary \| License \| FGDC \| Metadata \| Background \| Data Access Form \| Files

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

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aphiaid

specify just 1 value →

time (UTC)

specify just 1 value →

latitude (degrees_north)

longitude (degrees_east)

Graph Settings
Color Bar:	Continuity:	Scale:
Minimum:	Maximum:	N Sections:
Draw land mask:
Y Axis Minimum:	Maximum:

(Please be patient. It may take a while to get the data.)

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Then set the File Type: (File Type information)
and

or view the URL:
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Click on the map to specify a new center point.

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[The graph you specified. Please be patient.]

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 {
  aphiaid {
    Int32 actual_range 104464, 104466;
    String ioos_category "Identifier";
    String long_name "Life Science Identifier - World Register of Marine Species";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range -3.471552e+8, 1.5147648e+9;
    String axis "T";
    String calendar "gregorian";
    String ioos_category "Time";
    String long_name "Time";
    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";
    Float64 actual_range 41.25, 66.25;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -20.5, 11.5;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  abundance {
    Float64 _FillValue -999.9;
    String ioos_category "Unknown";
    String long_name "Interpolated abundance";
    Float64 missing_value -999.9;
    String units "1";
  }
  error {
    Float64 _FillValue -999.9;
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "Relative error on Interpolated abundance";
    Float64 missing_value -999.9;
    String units "1";
  }
  NC_GLOBAL {
    String acknowledgement "European Marine Observation Data Network (EMODnet) Biology project (EMFF/2019/1.3.1.9/Lot 6/SI2.837974), funded by the European Union under Regulation (EU) No 508/2014 of the European Parliament and of the Council of 15 May 2014 on the European Maritime and Fisheries Fund";
    String cdm_data_type "Grid";
    String citation "Troupin, Charles; Barth, Alexander; Helaouet, Pierre (2023). Gridded maps of Calanus finmarchicus and Calanus helgolandicus";
    String comment "Original data prepared by P. Helaouet (Marine Biological Association)";
    String Conventions "CF-1.8, COARDS, ACDD-1.3";
    Float64 correlation_length 2.5;
    String correlation_length_units "degrees";
    String created "2023-03-14 17:18:22";
    String creator_name "University of Liege and Marine Biological Association";
    String creator_type "institution";
    String data_authors "Pierre Helaouet <pihe@MBA.ac.uk>";
    Float64 Easternmost_Easting 11.5;
    Float64 geospatial_lat_max 66.25;
    Float64 geospatial_lat_min 41.25;
    Float64 geospatial_lat_resolution 1.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 11.5;
    Float64 geospatial_lon_min -20.5;
    Float64 geospatial_lon_resolution 1.0;
    String geospatial_lon_units "degrees_east";
    String grid_mapping_geographic_crs_name "WGS 84";
    String grid_mapping_GeoTransform "-180 0.08333333333333333 0 90 0 -0.08333333333333333";
    String grid_mapping_horizontal_datum_name "WGS 84";
    Float64 grid_mapping_inverse_flattening 298.257223563;
    String grid_mapping_long_name "Coordinate Reference System";
    Float64 grid_mapping_longitude_of_prime_meridian 0.0;
    String grid_mapping_name "latitude_longitude";
    String grid_mapping_prime_meridian_name "Greenwich";
    String grid_mapping_reference_ellipsoid_name "WGS 84";
    Float64 grid_mapping_semi_major_axis 6378137.0;
    Float64 grid_mapping_semi_minor_axis 6356752.31424518;
    String grid_mapping_spatial_ref "GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563]],PRIMEM[&qu";
    String history 
"Wed Mar 15 11:19:18 2023: ncatted -O -a error,abundance,d,, /data/erddap/FilesToImport/biology/calanus_finmarchicus_helgolandicus_year.nc
Wed Mar 15 11:19:08 2023: ncatted -O -a grid_mapping,abundance,d,, /data/erddap/FilesToImport/biology/calanus_finmarchicus_helgolandicus_year.nc
Wed Mar 15 11:18:39 2023: ncatted -O -a axis,time,d,, /data/erddap/FilesToImport/biology/calanus_finmarchicus_helgolandicus_year.nc
Wed Mar 15 11:10:19 2023: ncatted -O -a axis,lat,d,, calanus_finmarchicus_helgolandicus_year.nc
Wed Mar 15 11:10:08 2023: ncatted -O -a reference_datum,lat,d,, calanus_finmarchicus_helgolandicus_year.nc
Wed Mar 15 11:09:54 2023: ncatted -O -a valid_min,lat,d,, calanus_finmarchicus_helgolandicus_year.nc
Wed Mar 15 11:09:46 2023: ncatted -O -a valid_max,lat,d,, calanus_finmarchicus_helgolandicus_year.nc
Wed Mar 15 11:09:41 2023: ncatted -O -a valid_max,lon,d,, calanus_finmarchicus_helgolandicus_year.nc
Wed Mar 15 11:09:35 2023: ncatted -O -a valid_min,lon,d,, calanus_finmarchicus_helgolandicus_year.nc
Wed Mar 15 11:09:23 2023: ncatted -O -a reference_datum,lon,d,, calanus_finmarchicus_helgolandicus_year.nc
Wed Mar 15 11:08:42 2023: ncatted -O -a axis,lon,d,, calanus_finmarchicus_helgolandicus_year.nc
Wed Mar 15 10:55:47 2023: ncatted -O -a _FillValue,lat,d,c, calanus_finmarchicus_helgolandicus_year_v2.nc
Wed Mar 15 10:55:08 2023: ncatted -O -a _FillValue,lon,d,c, calanus_finmarchicus_helgolandicus_year_v2.nc
2025-10-24T04:55:31Z (local files)
2025-10-24T04:55:31Z https://erddap.emodnet.eu/griddap/biology_8220_a8b5_8cec_1c23.das";
    String infoUrl "???";
    String institution "University of Liege and Marine Biological Association";
    String keywords "absence, abundance, aphiaid, association, based, biological, calanus, data, error, finmarchicus, helgolandicus, interpolated, liege";
    String language "Julia 1.8.5";
    String license "GNU General Public License v2.0";
    String NCO "netCDF Operators version 5.0.6 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)";
    String netcdf_version "4";
    Float64 noise_to_signal_ratio 5.0;
    Float64 Northernmost_Northing 66.25;
    String processing_authors "C. Troupin <ctroupin@uliege>, A. Barth <a.barth@uliege.be>";
    String project "EMODnet Biology Phase IV";
    String publisher_email "info@vliz.be";
    String publisher_name "VLIZ";
    String publisher_type "institution";
    String publisher_url "http://www.vliz.be/";
    String source "Spatial interpolation of presence/absence data";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 41.25;
    Int32 Species_aphiaID 104464, 104466;
    String Species_scientific_name 
"Calanus_finmarchicus
Calanus_helgolandicus";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Original data prepared by P. Helaouet (Marine Biological Association)";
    String time_coverage_end "2018-01-01T00:00:00Z";
    String time_coverage_start "1959-01-01T00:00:00Z";
    String title "Interpolated abundance based on presence/absence of Calanus_finmarchicus and Calanus_helgolandicus";
    String tool "DIVAnd";
    String tool_doi "10.5281/zenodo.7016823";
    String tool_version "2.7.10";
    Float64 Westernmost_Easting -20.5;
  }
}

Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. griddap uses the OPeNDAP (external link)

Data Access Protocol (DAP) (external link)

and its projection 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. It makes 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.

griddap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][latitude][longitude]).

For details, see the griddap Documentation.