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Dataset Title:  Data product numerical abundance of benthic macroinvertebrates in North Sea
and Baltic Sea
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Institution:  Deltares   (Dataset ID: biology_6648_Benthos_NorthSea-BalticSea_7eb9_d3ea_6c8d)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 aphiaid (level) ?      1173    1209.204 (uneven)
  < slider >
 latitude (degrees_north) ?      238    -0.1428571 (even)
  < slider >
 longitude (degrees_east) ?      156    0.3333333 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 abundance ?

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 120, 1417307;
    String long_name "Life Science Identifier - World Register of Marine Species";
    String units "level";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 40.07142857142858, 73.92857142857143;
    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 -15.833333333333334, 35.83333333333333;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  abundance {
    Float64 _FillValue -99999.9;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Log-transformed (log10(x+1)) number of individuals of biological entity per square meter averaged per grid cell";
  }
  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 "Beauchard, Olivier, Herman, Peter M.J., Fern�ndez-Bejarano, Salvador. 2021. Data product numerical abundance of benthic macroinvertebrates in North Sea and Baltic Sea.";
    String comment "Uses attributes recommended by https://cfconventions.org";
    String Conventions "CF-1.8, COARDS, ACDD-1.3";
    String creator_email "peter.herman@deltares.nl";
    String creator_institution "Deltares";
    String creator_name "Peter Herman";
    String creator_type "person";
    String creator_url "www.deltares.nl";
    String date_created "2024-07-29";
    String date_issued "2021-01-26";
    String date_metadata_modified "2021-03-05";
    String date_modified "2021-03-05";
    Float64 Easternmost_Easting 35.83333333333333;
    Float64 geospatial_lat_max 73.92857142857143;
    Float64 geospatial_lat_min 40.07142857142858;
    Float64 geospatial_lat_resolution 0.14285714285714285;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 35.83333333333333;
    Float64 geospatial_lon_min -15.833333333333334;
    Float64 geospatial_lon_resolution 0.3333333333333333;
    String geospatial_lon_units "degrees_east";
    String history 
"https://github.com/EMODnet/EMODnet-Biology-Benthos_numeric_abundance
2024-11-05T07:14:20Z (local files)
2024-11-05T07:14:20Z https://erddap.emodnet.eu/erddap/griddap/biology_6648_Benthos_NorthSea-BalticSea_7eb9_d3ea_6c8d.das";
    String infoUrl "https://www.emodnet-biology.eu/data-catalog?module=dataset&dasid=6648";
    String institution "Deltares";
    String keywords "abundance, aphiaid, averaged, baltic, baltic sea, benthic, benthos, biological, cell, data, deltares, entity, grid, individuals, log, log-transformed, log10, macroinvertebrates, meter, north, north sea, number, numerical, per, product, sea, square, transformed, x+1";
    String license "CC-BY";
    String metadata_link "https://www.emodnet-biology.eu/data-catalog?module=dataset&dasid=6648";
    String naming_authority "emodnet-biology.eu";
    Float64 Northernmost_Northing 73.92857142857143;
    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/data-product-numerical-abundance-benthic-macroinvertebrates-north-sea-and-baltic-sea";
    String sea_name "Baltic Sea; North Sea";
    String source "https://github.com/EMODnet/EMODnet-Biology-Benthos_numeric_abundance";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 40.07142857142858;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "The data product on benthic living modes (Beauchard, 2018), was based on an extensive compilation of data on benthic abundance and biomass. However, this dataset was only present as a data file, without the underlying scripts to reproduce the result. With the present data product, we correct this procedural gap. This dataset differs in details from the file underlying the data product on living modes. Datasets were selected that were sufficiently similar in methods for sampling (either boxcore or grab), sampled surface (in the order of 0.1 square meter, although the exact value is variable - it can be found back in the data files) and sieves (1 mm and 0.5 mm sieves were included). For all datasets, abundance was either used directly from the given abundance in the dataset, or calculated from the given counts and area sampled.";
    String title "Data product numerical abundance of benthic macroinvertebrates in North Sea and Baltic Sea";
    Float64 Westernmost_Easting -15.833333333333334;
  }
}

 

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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