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Dataset Title:	European seas, DIVAnd 4D monthly analysis of Water_body_chlorophyll-a 1960/ 2023 v2024 [observations]
Institution:	University of LiÃ¨ge, GeoHydrodynamics and Environment Research (Dataset ID: oceanbrowser_opendap_2fe6_fb7f_9405)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form

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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 {
  observations {
    Int32 actual_range 0, 18280421;
    String long_name "Observations";
    String units "count";
  }
  obsdepth {
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String long_name "depth below sea level";
    String positive "down";
    String standard_name "depth";
    String units "meters";
  }
  obslat {
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String long_name "latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  obslon {
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String long_name "longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  obstime {
    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";
  }
  NC_GLOBAL {
    String acknowledgement "Aggregated data products are generated by EMODnet Chemistry under the support of DG MARE Call for Tenders EASME/EMFF/2016/006-lot4, EASME/2019/OP/0003-lot4.";
    String Acknowledgements "Aggregated data products are generated by EMODnet Chemistry under the support of DG MARE Call for Tenders EASME/EMFF/2016/006-lot4, EASME/2019/OP/0003-lot4.";
    String area_keywords_urn "SDN:C19::9, SDN:C19::1, SDN:C19::3_3, SDN:C19::2, SDN:C19::1_2, SDN:C19::3_1";
    String Author_e_mail "Charles Troupin <ctroupin@uliege.be>, Alexander Barth <A.Barth@uliege.be>";
    String bathymetry_source "GEBCO Compilation Group (2020) GEBCO 2020 Grid (doi:10.5285/a29c5465-b138-234d-e053-6c86abc040b9)";
    String cdm_data_type "Grid";
    String citation "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\"";
    String comment "Monthly climatology";
    String Conventions "CF-1.62, COARDS, ACDD-1.3";
    String creator_name "University of Liege, GeoHydrodynamics and Environment Research";
    String creator_type "institution";
    String creator_url "https://doi.org/10.13120/fa5c704a-a5ea-4f60-91b5-2bf6a7aded45";
    String data_access "https://emodnet.ec.europa.eu/geoviewer";
    String date "2024-12-09T21:55:14";
    String DIVA_references "Barth, A., Beckers, J.-M., Troupin, C., Alvera-Azcarate, A., and Vandenbulcke, L. (2014): divand-1.0: n-dimensional variational data analysis for ocean observations, Geosci. Model Dev., 7, 225-241, doi: 10.5194/gmd-7-225-2014";
    String DIVAnd_code_doi "https://doi.org/10.5281/zenodo.1303229";
    String DIVAnd_reference "Barth, A.; Beckers, J.-M.; Troupin, C.; Alvera-Azcarate, A. & Vandenbulcke, L. divand-1.0: n-dimensional variational data analysis for ocean observations. Geoscientific Model Development, 2014, 7, 225-241. DOI:10.5194/gmd-7-225-2014";
    String DIVAnd_source "https://github.com/gher-uliege/DIVAnd.jl";
    String DIVAnd_version "2.7.12";
    String documentation "https://doi.org/10.13120/fa5c704a-a5ea-4f60-91b5-2bf6a7aded45";
    String doi "https://doi.org/10.13120/e3972848-b66f-11ef-2e7d-65dd7160e34b";
    String file_name "/home/ulg/gher/ctroupin/data/EMODnet-Chemistry/Case/Water_body_chlorophyll-a-res-0.25-epsilon2-2.0-varlen1-lb5-maxit-5000-reltol-1.0e-9-bathcl-go-exclude-mL-1960-exNS2-monthly/Results/Water_body_chlorophyll-a_monthly.nc";
    String history 
"Fri May 16 15:36:39 2025: ncks -7 -O -L 5 --baa=4 --ppc default=3 Water_body_chlorophyll-a.nc Water_body_chlorophyll-a_c.nc
Fri Jan 17 09:57:48 2025: ncks -O Water_body_chlorophyll-a_monthly.nc Water_body_chlorophyll-a_monthly.nc
2026-04-05T16:43:25Z http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-projects/v2025/All_European_Seas-water_body/Water_body_chlorophyll-a.nc
2026-04-05T16:43:25Z https://erddap.emodnet.eu/griddap/oceanbrowser_opendap_2fe6_fb7f_9405.das";
    String id "DatasetScan/emodnet-projects/v2025/All_European_Seas-water_body/Water_body_chlorophyll-a.nc";
    String infoUrl "https://doi.org/10.13120/fa5c704a-a5ea-4f60-91b5-2bf6a7aded45";
    String institution "University of LiÃ¨ge, GeoHydrodynamics and Environment Research";
    String institution_urn "SDN:EDMO::1579";
    String keywords "analysis, below, body, chla, chlorophyll, chlorophyll-a, data, depth, divand, environment, european, geohydrodynamics, latitude, level, li\\u00c3\\u00a3\\u00c2\\u00a8ge, longitude, month, monthly, obsdepth, observations, obslat, obslon, obstime, research, sea, seas, seawater, time, university, v2024, water";
    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.";
    String NCO "netCDF Operators version 5.2.1 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco, Citation = 10.1016/j.envsoft.2008.03.004)";
    String parameter_keyword "Water body chlorophyll-a";
    String parameter_keyword_urn "SDN:P35::EPC00105";
    String product_code "All Europeans Seas-Water body chlorophyll-a-v2024-ANA";
    String product_id "e3972848-b66f-11ef-2e7d-65dd7160e34b";
    String product_version "v2024";
    String production "University of LiÃ¨ge, GeoHydrodynamics and Environment Research";
    String project "EMODnet Chemistry - Phase 5";
    String search_keywords "Chlorophyll pigment concentrations in water bodies";
    String search_keywords_urn "SDN:P02::CPWC";
    String source "Observational data from SeaDataNet/EMODnet Chemistry Data Network";
    String sourceUrl "http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-projects/v2025/All_European_Seas-water_body/Water_body_chlorophyll-a.nc";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "European seas - DIVAnd 4D monthly analysis of Water_body_chlorophyll-a 1960/2023 v2024. Monthly climatology. University of Liege, GeoHydrodynamics and Environment Research data from http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-projects/v2025/All_European_Seas-water_body/Water_body_chlorophyll-a.nc.das .";
    String title "European seas, DIVAnd 4D monthly analysis of Water_body_chlorophyll-a 1960/2023 v2024 [observations]";
    String WEB_visualisation "https://emodnet.ec.europa.eu/geoviewer";
  }
}

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.

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