Make A Graph

Dataset Title:	European seas, DIVAnd 4D monthly analysis of Water_body_dissolved_oxygen_ concentration 1960/2023 v2024 [lat][lon], 0.25deg
Institution:	University of LiÃ¨ge, GeoHydrodynamics and Environment Research (Dataset ID: oceanbrowser_opendap_b01d_0f44_8603)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

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:
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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 {
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 24.0, 83.0;
    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 -45.0, 70.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Water_body_dissolved_oxygen_concentration_deepest_depth {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Dissolved oxygen concentration deepest depth";
    String lossy_compression "compression_info";
    Int32 lossy_compression_nsd 3;
    Float32 missing_value 9.96921e+36;
    String positive "down";
    Int32 QuantizeGranularBitRoundNumberOfSignificantDigits 3;
    String standard_name "volume_fraction_of_oxygen_in_sea_water";
    String units "meters";
  }
  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 "2024-12-10T01:14:43";
    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/c165fa28-b68b-11ef-30c0-79ad56daabad";
    Float64 Easternmost_Easting 70.0;
    String file_name "/home/ulg/gher/ctroupin/data/EMODnet-Chemistry/Case/Water_body_dissolved_oxygen_concentration-res-0.25-epsilon2-2.0-varlen1-lb5-maxit-5000-reltol-1.0e-9-bathcl-go-exclude-mL-1960-exNS2-monthly/Results/Water_body_dissolved_oxygen_concentration_monthly.nc";
    Float64 geospatial_lat_max 83.0;
    Float64 geospatial_lat_min 24.0;
    Float64 geospatial_lat_resolution 0.25;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 70.0;
    Float64 geospatial_lon_min -45.0;
    Float64 geospatial_lon_resolution 0.25;
    String geospatial_lon_units "degrees_east";
    String history 
"Fri May 16 15:52:44 2025: ncks -7 -O -L 5 --baa=4 --ppc default=3 Water_body_dissolved_oxygen_concentration.nc Water_body_dissolved_oxygen_concentration_c.nc
Fri Jan 17 10:13:05 2025: ncks -O Water_body_dissolved_oxygen_concentration_monthly.nc Water_body_dissolved_oxygen_concentration_monthly.nc
2026-04-05T16:44:54Z http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-projects/v2025/All_European_Seas-water_body/Water_body_dissolved_oxygen_concentration.nc
2026-04-05T16:44:54Z https://erddap.emodnet.eu/griddap/oceanbrowser_opendap_b01d_0f44_8603.das";
    String id "DatasetScan/emodnet-projects/v2025/All_European_Seas-water_body/Water_body_dissolved_oxygen_concentration.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, body, chemistry, concentration, data, deepest, depth, dissolved, divand, earth, Earth Science > Oceans > Ocean Chemistry > Oxygen, environment, european, fraction, geohydrodynamics, latitude, li\\u00c3\\u00a3\\u00c2\\u00a8ge, longitude, month, monthly, O2, ocean, oceans, oxygen, research, science, sea, seas, seawater, university, v2024, volume, volume_fraction_of_oxygen_in_sea_water, water, Water_body_dissolved_oxygen_concentration_deepest_depth";
    String keywords_vocabulary "GCMD Science Keywords";
    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)";
    Float64 Northernmost_Northing 83.0;
    String parameter_keyword "Water body dissolved oxygen concentration";
    String parameter_keyword_urn "SDN:P35::EPC00002";
    String product_code "All Europeans Seas-Water body dissolved oxygen concentration-v2024-ANA";
    String product_id "c165fa28-b68b-11ef-30c0-79ad56daabad";
    String product_version "v2024";
    String production "University of LiÃ¨ge, GeoHydrodynamics and Environment Research";
    String project "EMODnet Chemistry - Phase 5";
    String search_keywords "Dissolved oxygen parameters in the water column";
    String search_keywords_urn "SDN:P02::DOXY";
    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_dissolved_oxygen_concentration.nc";
    Float64 Southernmost_Northing 24.0;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "European seas - DIVAnd 4D monthly analysis of Water_body_dissolved_oxygen_concentration 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_dissolved_oxygen_concentration.nc.das .";
    String title "European seas, DIVAnd 4D monthly analysis of Water_body_dissolved_oxygen_concentration 1960/2023 v2024 [lat][lon], 0.25deg";
    String WEB_visualisation "https://emodnet.ec.europa.eu/geoviewer";
    Float64 Westernmost_Easting -45.0;
  }
}

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.