ERDDAP > griddap > 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

 

Dimensions	Start	Stride	Stop	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) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .dods - OPeNDAP clients use this to download the data in the DODS binary format. .esriAscii - Download an ISO-8859-1 ESRI ASCII file (latitude longitude data only; longitude must be all below or all above 180). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .graph - View a Make A Graph web page. .help - View a web page with a description of griddap. .html - View an OPeNDAP-style HTML Data Access Form. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .iso19115 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each axis variable and each data variable becomes a wave. .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .jsonlCSV1 - View a UTF-8 JSON Lines CSV file with column names on line 1 (mv = 'null'; times are ISO 8601 strings). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = 'null'; times are ISO 8601 strings). .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .mat - Download a MATLAB binary file. .nc - Download a NetCDF-3 binary file with COARDS/CF/ACDD metadata. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .ncml - View the dataset's structure and metadata as a UTF-8 NCML .xml file. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .odvTxt - Download time,latitude,longitude,otherVariables as an ODV Generic Spreadsheet File (.txt). .timeGaps - View a UTF-8 list of gaps in the time values which are larger than the median gap. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .wav - Download a .wav audio file. All columns must be numeric and of the same type. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. Times are ISO 8601 strings. .geotif - View a grayscale GeoTIFF .tif file (for latitude longitude data; longitude must be all below or all above 180). .kml - View a Google Earth .kml file (for latitude, longitude data only). .smallPdf - View a small .pdf image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .smallPng - View a small .png image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .largePng - View a large .png image file with a graph or map. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend).

(Documentation / Bypass this form)
 
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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
2025-04-03T08:10:03Z (local files)
2025-04-03T08:10:03Z 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;
  }
}

 

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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 Data Access Protocol (DAP) and its projection constraints.

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.

 

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