Make A Graph

Dataset Title:	Phytoplankton alpha diversity in the greater Baltic Sea area
Institution:	Swedish Meteorological and Hydrological Institute (Dataset ID: biology_8221_a45b_17fb_beeb)
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 →

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 9.478944e+8, 1.6395264e+9;
    String axis "T";
    String calendar "gregorian";
    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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 54.993596254980076, 65.80879817307692;
    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 10.513314425531915, 23.838457499999997;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  shannon {
    Float64 _FillValue -99999.0;
    String long_name "Shannon index";
  }
  richness {
    Int32 _FillValue -99999;
    String long_name "Species richness (n taxa)";
  }
  NC_GLOBAL {
    String acknowledgement "European Marine Observation Data Network (EMODnet) Biology project (EMFF/2019/1.3.1.9/Lot 6/SI2.837974), 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 "Torstensson A, Sundqvist L, Lindh M (2023) Phytoplankton alpha diversity in the greater Baltic Sea area. Integrated data products created under the European Marine Observation  Data Network (EMODnet) Biology project Phase IV (EMFF/2019/1.3.1.9/Lot  6/SI2.837974), 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 "anders.torstensson@smhi.se";
    String creator_institution "Swedish Meteorological and Hydrological Institute (SMHI)";
    String creator_name "Anders Torstensson";
    String creator_type "person";
    String creator_url "www.smhi.se";
    String date_created "2023-03-20";
    Float64 Easternmost_Easting 23.838457499999997;
    Float64 geospatial_lat_max 65.80879817307692;
    Float64 geospatial_lat_min 54.993596254980076;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 23.838457499999997;
    Float64 geospatial_lon_min 10.513314425531915;
    String geospatial_lon_units "degrees_east";
    String history 
"https://www.vliz.be/imis?dasid=8221
2024-10-30T23:06:36Z (local files)
2024-10-30T23:06:36Z https://erddap.emodnet.eu/griddap/biology_8221_a45b_17fb_beeb.das";
    String infoUrl "www.smhi.se";
    String institution "Swedish Meteorological and Hydrological Institute";
    String keywords "alpha, area, baltic, data, diversity, greater, hydrological, index, institute, meteorological, phytoplankton, richness, sea, shannon, species, swedish, taxa, time";
    String license "CC-BY";
    String naming_authority "emodnet-biology.eu";
    Float64 Northernmost_Northing 65.80879817307692;
    String project "EMODnet-Biology";
    String publisher_email "bio@emodnet.eu";
    String publisher_institution "Swedish Meteorological and Hydrological Institute (SMHI)";
    String publisher_name "EMODnet Biology Data Management Team";
    String publisher_type "group";
    String publisher_url "www.emodnet-biology.eu";
    String source "https://www.vliz.be/imis?dasid=8221";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 54.993596254980076;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "This dataset compiles monthly Shannon diversity index (H') and species richness (n taxa) of phytoplankton data in the greater Baltic Sea area between years 2000-2021, calculated from abundance data originating from the Swedish National phytoplankton monitoring programme. Samples have been rarified before calculating alpha diversity measures, and nearby spatial data points (stations) have been clustered together";
    String time_coverage_end "2021-12-15T00:00:00Z";
    String time_coverage_start "2000-01-15T00:00:00Z";
    String title "Phytoplankton alpha diversity in the greater Baltic Sea area";
    Float64 Westernmost_Easting 10.513314425531915;
  }
}

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.