Make A Graph

Dataset Title:	Benthos habitats
Institution:	University of Sheffield (Dataset ID: biology_8777_429f_a47a_d420)
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

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 23.68307218000004, 81.53827218000004;
    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 -35.96920141999996, 42.99799858000003;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  eusm_benthos_n_surveys {
    Float64 _FillValue -9999.9;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Number of macrobenthos surveys";
  }
  eusm_benthos_n_species {
    Float64 _FillValue -9999.9;
    String long_name "Macrobenthos species richness";
  }
  eusm_benthos_eunis2019ID {
    Int32 _FillValue -9999;
    String comment "1 = MG62; 2 = MF62; 3 = ME62; 4 = MG12; 5 = MF12; 6 = MG52; 7 = MF42; 8 = ME12; 9 = MG42; 10 = ME42; 11 = MF52; 12 = ME52; 13 = MF32; 14 = ME32; 15 = MD12; 16 = MD52; 17 = MD42; 18 = MC12; 19 = MC42; 20 = MB12; 21 = MC52; 22 = MB52; 23 = MB32; 24 = MB42; 25 = MD62; 26 = MD32; 27 = MG32; 28 = ME31; 29 = MC32; 30 = ME11; 31 = ME41; 32 = ME61; 33 = ME51; 34 = MF61; 35 = MC62; 36 = MB62; 37 = MF41; 38 = ME221; 39 = MD2211; 40 = ME21; 41 = MF221; 42 = MF31; 43 = MG61; 44 = MF11; 45 = MG11; 46 = MD22; 47 = MC2211; 48 = MB2221; 49 = ME22; 50 = MB2222; 51 = MB222; 52 = MB15; 53 = MC151; 54 = MD451; 55 = ME55; 56 = ME15; 57 = MC35; 58 = MB55; 59 = ME35; 60 = MD151; 61 = MF55; 62 = MC223; 63 = MF15; 64 = MB2212; 65 = MD651; 66 = MC651; 67 = MF35; 68 = MB35; 69 = MB22; 70 = MC22; 71 = ME65; 72 = MF65; 73 = ME45; 74 = MB65; 75 = MF45; 76 = MB221; 77 = MC451; 78 = MC45; 79 = MB252; 80 = MG41; 81 = MB2223; 82 = MC2235; 83 = MB2211; 84 = MC221; 85 = MB2523; 86 = MG65; 87 = MG55; 88 = MC251; 89 = MG15; 90 = MG35; 91 = MD31; 92 = MD61; 93 = MB43; 94 = MB53; 95 = MC43; 96 = MC53; 97 = MC63; 98 = MD63; 99 = MB63; 100 = MD53; 101 = MD43; 102 = MC33; 103 = MB33; 104 = MD33; 105 = MC11; 106 = MC51; 107 = MC31; 108 = MB11; 109 = MB23; 110 = MD41; 111 = MC61; 112 = MC41; 113 = MB61; 114 = MD51; 115 = MB51; 116 = MD11; 117 = MB652; 118 = MB554; 119 = MB152; 120 = MC55; 121 = MB13; 122 = MF65 or MF55; 123 = MD13; 124 = MC13; 125 = MB53 or MB63; 126 = ME65 or ME55; 127 = MC651 or MC451 or MC35; 128 = MC53 or MC63; 129 = MD651 or MD451; 130 = MB65 or MB55; 131 = MD53 or MD63; 132 = MB2531; 133 = MF51; 134 = MB41; 135 = MC44; 136 = MB64; 137 = MD44; 138 = MD64; 139 = MC64; 140 = MC54; 141 = MD54; 142 = MB54; 143 = MD34; 144 = MC34; 145 = MB44; 146 = MB34; 147 = ME64 or MF64; 148 = MD54 or MD64; 149 = MC54 or MC64; 150 = MB14; 151 = MB54 or MB64; 152 = MC14; 153 = ME44 or MF44; 154 = ME34 or MF34; 155 = ME54 or MF54 or ME64 or MF64; 156 = ME54 or MF54; 157 = MG44; 158 = MG64; 159 = MB31; 160 = MG54 or MG64; 161 = MG54";
    String long_name "EUNIS2019 code for Seabed Habitat Type";
  }
  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 "Webb, Tom 2025. Seabed habitat and macrobenthos occurrences in European seas. 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 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 "t.j.webb@sheffield.ac.uk";
    String creator_institution "Flanders Marine Institute (VLIZ)";
    String creator_name "Tom Webb";
    String creator_type "person";
    String creator_url "https://www.sheffield.ac.uk/biosciences/people/academic-staff/tom-webb";
    String date_created "2025-03-25";
    Float64 Easternmost_Easting 42.99799858000003;
    Float64 geospatial_lat_max 81.53827218000004;
    Float64 geospatial_lat_min 23.68307218000004;
    Float64 geospatial_lat_resolution 0.0052;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 42.99799858000003;
    Float64 geospatial_lon_min -35.96920141999996;
    Float64 geospatial_lon_resolution 0.0052;
    String geospatial_lon_units "degrees_east";
    String history 
"default
2025-04-03T08:01:19Z (local files)
2025-04-03T08:01:19Z https://erddap.emodnet.eu/griddap/biology_8777_429f_a47a_d420.das";
    String infoUrl "https://www.sheffield.ac.uk/biosciences/people/academic-staff/tom-webb";
    String institution "University of Sheffield";
    String keywords "benthos, code, data, eunis2019, eusm_benthos_eunis2019ID, eusm_benthos_n_species, eusm_benthos_n_surveys, habitat, habitats, macrobenthos, number, richness, seabed, sheffield, species, surveys, type, university";
    String license "CC-BY";
    String naming_authority "emodnet-biology.eu";
    Float64 Northernmost_Northing 81.53827218000004;
    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 "www.emodnet-biology.eu";
    String source "default";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 23.68307218000004;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Combined map of benthic surveys, species richness, and EUNIS habitat classifications on 0.0052 degree grid";
    String title "Benthos habitats";
    Float64 Westernmost_Easting -35.96920141999996;
  }
}

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.