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Dataset Title:  Presence/Absence maps of phytoplankton in the Greater Baltic Sea Subscribe RSS
Institution:  SMHI   (Dataset ID: biology_phyto_6618_BalticSea_8b1e_5c90_9a2c)
Information:  Summary ? | License ? | FGDC | Metadata | Background (external link) | Files | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 aphiaid ?      331    4179.518 (uneven)
  < slider >
 latitude (degrees_north) ?      280    -0.05714286 (even)
  < slider >
 longitude (degrees_east) ?      150    0.1866667 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 probability_occurrence ?

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 {
  aphiaid {
    Int32 actual_range 802, 1380043;
    String long_name "Life Science Identifier - World Register of Marine Species";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 52.028571428571425, 67.97142857142858;
    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 9.093333333333334, 36.906666666666666;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  probability_occurrence {
    Float64 _FillValue -99999.9;
    String long_name "Probability of occurrence of biological entity";
    Float64 missing_value -99999.9;
  }
  NC_GLOBAL {
    String acknowledgement "European Marine Observation Data Network (EMODnet) Biology project (EASME/EMFF/2017/1.3.1.2/02/SI2.789013), 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 "Daniela Figueroa, Markus Lindh, Luuk van der Heijden, Willem Stolte & Lisa Sundqvist (2020). Presence/Absence maps of phytoplankton in the Greater Baltic Sea.";
    String comment "Uses attributes recommended by https://cfconventions.org";
    String Conventions "CF-1.8, COARDS, ACDD-1.3";
    String creator_email "daniela.figueroa@smhi.se";
    String creator_institution "Swedish Meteorological and Hydrological Institute (SMHI)";
    String creator_name "Figueroa Daniela";
    String creator_type "person";
    String creator_url "www.smhi.se";
    String date_created "2022-08-10";
    String date_issued "2020-12-24";
    String date_metadata_modified "2021-03-08";
    String date_modified "2021-03-08";
    Float64 Easternmost_Easting 36.906666666666666;
    Float64 geospatial_lat_max 67.97142857142858;
    Float64 geospatial_lat_min 52.028571428571425;
    Float64 geospatial_lat_resolution 0.05714285714285717;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 36.906666666666666;
    Float64 geospatial_lon_min 9.093333333333334;
    Float64 geospatial_lon_resolution 0.18666666666666668;
    String geospatial_lon_units "degrees_east";
    String grid_mapping_geographic_crs_name "WGS 84";
    String grid_mapping_GeoTransform "-180 0.08333333333333333 0 90 0 -0.08333333333333333";
    Float64 grid_mapping_inverse_flattening 298.257223563;
    String grid_mapping_long_name "Coordinate Reference System";
    Float64 grid_mapping_longitude_of_prime_meridian 0.0;
    String grid_mapping_name "latitude_longitude";
    String grid_mapping_prime_meridian_name "Greenwich";
    String grid_mapping_reference_ellipsoid_name "WGS 84";
    Float64 grid_mapping_semi_major_axis 6378137.0;
    Float64 grid_mapping_semi_minor_axis 6356752.314245179;
    String grid_mapping_spatial_ref "GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563]],PRIMEM[\"Greenwich\",0],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AXIS[\"Latitude\",NORTH],AXIS[\"Longitude\",EAST],AUTHORITY[\"EPSG\",\"4326\"]]";
    String history 
"https://github.com/EMODnet/EMODnet-Biology-Phytoplankton-Greater-BalticSea
2024-03-04T01:31:38Z (local files)
2024-03-04T01:31:38Z https://erddap.emodnet.eu/erddap/griddap/biology_phyto_6618_BalticSea_8b1e_5c90_9a2c.das";
    String infoUrl "https://www.emodnet-biology.eu/data-catalog?module=dataset&dasid=6618";
    String institution "SMHI";
    String keywords "absence, aphiaid, baltic, baltic sea, biological, data, entity, greater, maps, marine, marine/coastal, occurrence, phytoplankton, presence, probability, probability_occurrence, sea, smhi";
    String license "CC-BY";
    String metadata_link "https://www.emodnet-biology.eu/data-catalog?module=dataset&dasid=6618";
    String naming_authority "emodnet-biology.eu";
    Float64 Northernmost_Northing 67.97142857142858;
    String product_version "1";
    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 references "https://www.emodnet-biology.eu/blog/presenceabsence-maps-phytoplankton-greater-baltic-sea";
    String sea_name "Baltic Sea";
    String source "https://github.com/EMODnet/EMODnet-Biology-Phytoplankton-Greater-BalticSea";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 52.028571428571425;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "The project aims to produce comprehensive data product of the occurence and absence of (phyto)plankton species. As a basis, data from EMODnet Biology are used. The selection of relevant datasets is optimized in order to find all planktonic species, and exclude all species that are not planktonic. The occurences from EMODnet Biology were complemenented with absence data assuming fixed species lists within each dataset and year. The products are presented as maps of the distribution of the 20 most common species of (phyto)plankton in the Greater Baltic Sea.";
    String title "Presence/Absence maps of phytoplankton in the Greater Baltic Sea";
    Float64 Westernmost_Easting 9.093333333333334;
  }
}

 

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.

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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