Data Access Form

Dataset Title:	Spatio-Temporal Interpolation of Zooplankton Alpha Diversity in the Greater Baltic Sea Region
Institution:	Swedish Meteorological and Hydrological Institute (Dataset ID: biology_8771_67af_ab92_76cb)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Files \| Make a graph

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Dimensions	Size	Spacing
time (UTC)	65	91 days 7h 30m 0s (uneven)

latitude (degrees_north)	110	0.1146789 (even)

longitude (degrees_east)	100	0.2070707 (even)

Grid Variables (which always also download all of the dimension variables)

shannon (Shannon index)

File type: (more information)

(Documentation / Bypass this form)

(Please be patient. It may take a while to get the data.)

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.1597472e+9, 1.6646688e+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 53.5, 66.0;
    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 9.5, 30.0;
    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";
  }
  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 2021/1139 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 (2024) Spatio-Temporal Interpolation of Zooplankton Alpha Diversity in the Greater Baltic Sea Region. Integrated data products created under the European Marine Observation Data Network (EMODnet) Biology project Phase V (CINEA/EMFAF/2022/3.5.2/SI2.895681), funded by the by the European Union under Regulation (EU) No 2021/1139 of the European Parliament and of the Council of 7 July 2021 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 "2024-12-12";
    Float64 Easternmost_Easting 30.0;
    Float64 geospatial_lat_max 66.0;
    Float64 geospatial_lat_min 53.5;
    Float64 geospatial_lat_resolution 0.11467889908256881;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 30.0;
    Float64 geospatial_lon_min 9.5;
    Float64 geospatial_lon_resolution 0.20707070707070707;
    String geospatial_lon_units "degrees_east";
    String history 
"https://www.vliz.be/imis?dasid=8771
2025-10-28T03:04:28Z (local files)
2025-10-28T03:04:28Z https://erddap.emodnet.eu/erddap/griddap/biology_8771_67af_ab92_76cb.das";
    String infoUrl "www.smhi.se";
    String institution "Swedish Meteorological and Hydrological Institute";
    String keywords "alpha, baltic, data, diversity, greater, hydrological, index, institute, interpolation, meteorological, region, sea, shannon, spatio, spatio-temporal, swedish, temporal, time, zooplankton";
    String license "CC-BY";
    String naming_authority "emodnet-biology.eu";
    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 66.0;
    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=8771";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 53.5;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Uses attributes recommended by https://cfconventions.org";
    String time_coverage_end "2022-10-02T00:00:00Z";
    String time_coverage_start "2006-10-02T00:00:00Z";
    String title "Spatio-Temporal Interpolation of Zooplankton Alpha Diversity in the Greater Baltic Sea Region";
    Float64 Westernmost_Easting 9.5;
  }
}

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.