Make A Graph

Dataset Title:	Count maps of sea birds in the Europeans Seas
Institution:	ULiÃ¨ge (Dataset ID: biology_8838_e9ef_c156_f337)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

time (UTC)

specify just 1 value →

aphiaid (level)

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.)

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

or view the URL:
(Documentation / Bypass this form

)

Click on the map to specify a new center point.

Zoom:

[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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.577664e+8, 1.4200704e+9;
    String axis "T";
    String calendar "gregorian";
    String climatology "climatology_bounds";
    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";
  }
  aphiaid {
    Int32 actual_range 1836, 1534881;
    String long_name "Life Science Identifier - World Register of Marine Species";
    String units "level";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 14.0, 72.0;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String reference_datum "geographical coordinates, WGS84 projection";
    String standard_name "latitude";
    String units "degrees_north";
    Float64 valid_max 90.0;
    Float64 valid_min -90.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -55.0, 21.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String reference_datum "geographical coordinates, WGS84 projection";
    String standard_name "longitude";
    String units "degrees_east";
    Float64 valid_max 180.0;
    Float64 valid_min -180.0;
  }
  gridded_count {
    Float64 _FillValue -999.0;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Number of observations";
    Float64 missing_value -999.0;
    String units "1";
    Float64 valid_max 100.0;
    Float64 valid_min 0.0;
  }
  gridded_count_error {
    Float64 _FillValue -999.0;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Relative error";
    Float64 missing_value -999.0;
    String units "1";
    Float64 valid_max 1.0;
    Float64 valid_min 0.0;
  }
  NC_GLOBAL {
    String acknowledgement "European Marine Observation Data Network (EMODnet) Biology project CINEA/EMFAF/2022/3.5.2/SI2.895681, 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 "Charles Troupin (2025). Abundance maps of Sea Birds in the European Sea. Integrated data products created under the European Marine Observation Data Network (EMODnet) Biology project CINEA/EMFAF/2022/3.5.2/SI2.895681, funded by the 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 comment "Uses attributes recommended by https://cfconventions.org";
    String Conventions "CF-1.8, COARDS, ACDD-1.3";
    String creator_email "ctroupin@uliege.be";
    String creator_institution "University of Liège (ULiège)";
    String creator_name "Charles Troupin";
    String creator_type "person";
    String creator_url "https://www.gher.uliege.be";
    String date_created "2025-04-23";
    String date_issued "2025-04-23";
    String date_metadata_modified "2025-04-23";
    String date_modified "2025-04-23";
    Float64 Easternmost_Easting 21.0;
    Float64 geospatial_lat_max 72.0;
    Float64 geospatial_lat_min 14.0;
    Float64 geospatial_lat_resolution 0.5;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 21.0;
    Float64 geospatial_lon_min -55.0;
    Float64 geospatial_lon_resolution 0.5;
    String geospatial_lon_units "degrees_east";
    String history 
"https://github.com/EMODnet/EMODnet-Biology-Interpolation-SeaBirds
2025-04-25T04:29:49Z (local files)
2025-04-25T04:29:49Z https://erddap.emodnet.eu/griddap/biology_8838_e9ef_c156_f337.das";
    String infoUrl "https://marineinfo.org/imis?module=dataset&dasid=6618";
    String institution "ULiÃ¨ge";
    String keywords "aphiaid, birds, count, data, error, europeans, gridded_count, gridded_count_error, maps, marine, marine/coastal, number, observations, relative, sea, sea birds, seas, time, uli\\u00c3\\u00a8ge";
    String license "CC-BY";
    String metadata_link "https://marineinfo.org/imis?module=dataset&dasid=6618";
    String naming_authority "https://emodnet.ec.europa.eu/en/biology";
    Float64 Northernmost_Northing 72.0;
    String product_version "1";
    String project "EMODnet-Biology";
    String publisher_email "bio@emodnet.eu";
    String publisher_institution "Flanders Marine Institute (VLIZ)";
    String publisher_name "EMODnet Biology Data Management Team";
    String publisher_type "group";
    String publisher_url "https://emodnet.ec.europa.eu/en/biology";
    String sea_name "Baltic Sea";
    String source "https://github.com/EMODnet/EMODnet-Biology-Interpolation-SeaBirds";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 14.0;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "The project aims to produce comprehensive data products of the sea birds.";
    String time_coverage_end "2015-01-01T00:00:00Z";
    String time_coverage_start "1975-01-01T00:00:00Z";
    String title "Count maps of sea birds in the Europeans Seas";
    Float64 Westernmost_Easting -55.0;
  }
}

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.