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Dataset Title:  Summary presence/absence maps of macro-endobenthos in the greater North Sea,
based on nearly 100,000 samples from 65 assembled monitoring data sets
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Institution:  Deltares   (Dataset ID: biology_benthos_6617_5e82_1108_e2c8)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
aphiaid (level) ?     specify just 1 value →
    |< - >|
< <
latitude (degrees_north) ?
    +
    -
< slider >
longitude (degrees_east) ?
    +
    -
< slider >
 
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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  aphiaid {
    Int32 actual_range 145, 1417307;
    String long_name "Life Science Identifier - World Register of Marine Species";
    String units "level";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 46.03571428571429, 65.96428571428571;
    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 -15.916666666666666, 8.916666666666664;
    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 "Herman, P.M.J., Stolte, W., van der Heijden, L. 2020. Summary presence/absence maps of macro-endobenthos in the greater North Sea, based on nearly 100,000 samples from 65 assembled monitoring data sets.";
    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 "2022-08-17";
    String date_issued "2020-12-24";
    String date_metadata_modified "2021-04-12";
    String date_modified "2021-04-12";
    Float64 Easternmost_Easting 8.916666666666664;
    Float64 geospatial_lat_max 65.96428571428571;
    Float64 geospatial_lat_min 46.03571428571429;
    Float64 geospatial_lat_resolution 0.07142857142857138;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 8.916666666666664;
    Float64 geospatial_lon_min -15.916666666666666;
    Float64 geospatial_lon_resolution 0.16666666666666663;
    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-Benthos_greater_North_Sea
2024-07-17T09:38:09Z (local files)
2024-07-17T09:38:09Z https://erddap.emodnet.eu/griddap/biology_benthos_6617_5e82_1108_e2c8.das";
    String infoUrl "https://www.emodnet-biology.eu/data-catalog?module=dataset&dasid=6617";
    String institution "Deltares";
    String keywords "absence, aphiaid, assembled, based, benthos, biological, data, deltares, endobenthos, entity, greater, macro, macro-endobenthos, maps, marine, marine ecology, marine/coastal, monitoring, nearly, north, north sea, occurrence, presence, probability, probability_occurrence, samples, sea, sets, summary";
    String license "CC-BY";
    String metadata_link "https://www.emodnet-biology.eu/data-catalog?module=dataset&dasid=6617";
    String naming_authority "emodnet-biology.eu";
    Float64 Northernmost_Northing 65.96428571428571;
    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/summary-presenceabsence-maps-macro-endobenthos-greater-north-sea";
    String sea_name "North Sea";
    String source "https://github.com/EMODnet/EMODnet-Biology-Benthos_greater_North_Sea";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 46.03571428571429;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "The large databases of EMODNET Biology only store confirmed presences of species. However, when mapping species distribution, it is also important where the species did not occur: there is at least as much information in absences as in presences. Inferring absences from presence-only databases is difficult and always involves some guesswork. In this product we have used as much meta-information as possible to guide us in inferring absences.";
    String title "Summary presence/absence maps of macro-endobenthos in the greater North Sea, based on nearly 100,000 samples from 65 assembled monitoring data sets";
    Float64 Westernmost_Easting -15.916666666666666;
  }
}

 

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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