Make A Graph

Dataset Title:	Global predicted thermal distributions for intertidal macroalgae
Institution:	IHCantabria - Instituto de Hidraulica Ambiental de la Universidad de Cantabria (Dataset ID: biology_8780_20a9_a982_ec71)
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

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 {
  aphiaid {
    Int32 actual_range 143834, 1659019;
    String long_name "Life Science Identifier - World Register of Marine Species";
    String units "level";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range -89.9749984728493, 89.97500762981808;
    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 -179.97500610351517, 179.9750061035152;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  habitat_suitability {
    Float64 _FillValue -99999.0;
    String long_name "Habitat suitability of biological entity";
  }
  presence_absence {
    Int32 _FillValue -99999;
    String long_name "Thermal distribution of biological entity";
  }
  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 comment "Uses attributes recommended by https://cfconventions.org";
    String Conventions "CF-1.62, COARDS, ACDD-1.3";
    String creator_email "elvira.ramos@unican.es";
    String creator_institution "IHCantabria - Instituto de Hidraulica Ambiental de la Universidad de Cantabria";
    String creator_name "Elvira Ramos";
    String creator_type "person";
    String date_created "2025-03-21";
    Float64 Easternmost_Easting 179.9750061035152;
    Float64 geospatial_lat_max 89.97500762981808;
    Float64 geospatial_lat_min -89.9749984728493;
    Float64 geospatial_lat_resolution 0.050000001695656396;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.9750061035152;
    Float64 geospatial_lon_min -179.97500610351517;
    Float64 geospatial_lon_resolution 0.05000000169565639;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-04-03T08:09:03Z (local files)
2025-04-03T08:09:03Z https://erddap.emodnet.eu/griddap/biology_8780_20a9_a982_ec71.das";
    String infoUrl "???";
    String institution "IHCantabria - Instituto de Hidraulica Ambiental de la Universidad de Cantabria";
    String keywords "ambiental, aphiaid, biological, cantabria, data, distribution, distributions, entity, european, global, habitat, habitat_suitability, hidraulica, ihcantabria, instituto, intertidal, macroalgae, predicted, presence_absence, suitability, thermal, union, universidad";
    String license "CC-BY";
    String naming_authority "https://emodnet.ec.europa.eu/en/biology";
    Float64 Northernmost_Northing 89.97500762981808;
    String publisher_institution "IHCantabria - Instituto de Hidraulica Ambiental de la Universidad de Cantabria";
    String publisher_name "EMODnet Biology Data Management Team";
    String publisher_type "group";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.9749984728493;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary 
"This dataset contains the geographic projections of the modelled 
  thermal distribution of intertidal macroalgae. Two variables are included:
  Habitat suitability maps and its derived binary distribution.These distributions 
  will be used to estimate the Community Temperature Index for the communities 
  included in the EMODNET biology dataset 5973, which includes cover date of 
  intertidal macroalgae along the coast of NW Spain. More details can be found here: 
  Ramos, E., Sainz-Villegas, S., de la Hoz, C.F., Puente, A., Juanes, J.A. (2023) 
  Community Temperature Index (CTI) for intertidal macroalgae in NW Spain.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 title "Global predicted thermal distributions for intertidal macroalgae";
    Float64 Westernmost_Easting -179.97500610351517;
  }
}

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.