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Dataset Title:  Interpolated abundance based on presence/absence of Calanus_finmarchicus and
Calanus_helgolandicus
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Institution:  University of Liege and Marine Biological Association   (Dataset ID: biology_8220_a8b5_8cec_1c23)
Information:  Summary ? | License ? | FGDC | Metadata | Background (external link) | Data Access Form | Files
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
aphiaid ?     specify just 1 value →
    |< - >|
< <
time (UTC) ?     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:
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    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 104464, 104466;
    String ioos_category "Identifier";
    String long_name "Life Science Identifier - World Register of Marine Species";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range -3.471552e+8, 1.5147648e+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 41.25, 66.25;
    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 -20.5, 11.5;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  abundance {
    Float64 _FillValue -999.9;
    String ioos_category "Unknown";
    String long_name "Interpolated abundance";
    Float64 missing_value -999.9;
    String units "1";
  }
  error {
    Float64 _FillValue -999.9;
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "Relative error on Interpolated abundance";
    Float64 missing_value -999.9;
    String units "1";
  }
  NC_GLOBAL {
    String acknowledgement "European Marine Observation Data Network (EMODnet) Biology project (EMFF/2019/1.3.1.9/Lot 6/SI2.837974), 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 "Troupin, Charles; Barth, Alexander; Helaouet, Pierre (2023). Gridded maps of Calanus finmarchicus and Calanus helgolandicus";
    String comment "Original data prepared by P. Helaouet (Marine Biological Association)";
    String Conventions "CF-1.8, COARDS, ACDD-1.3";
    Float64 correlation_length 2.5;
    String correlation_length_units "degrees";
    String created "2023-03-14 17:18:22";
    String creator_name "University of Liege and Marine Biological Association";
    String creator_type "institution";
    String data_authors "Pierre Helaouet <pihe@MBA.ac.uk>";
    Float64 Easternmost_Easting 11.5;
    Float64 geospatial_lat_max 66.25;
    Float64 geospatial_lat_min 41.25;
    Float64 geospatial_lat_resolution 1.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 11.5;
    Float64 geospatial_lon_min -20.5;
    Float64 geospatial_lon_resolution 1.0;
    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";
    String grid_mapping_horizontal_datum_name "WGS 84";
    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 6356752.31424518;
    String grid_mapping_spatial_ref "GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563]],PRIMEM[&qu";
    String history 
"Wed Mar 15 11:19:18 2023: ncatted -O -a error,abundance,d,, /data/erddap/FilesToImport/biology/calanus_finmarchicus_helgolandicus_year.nc
Wed Mar 15 11:19:08 2023: ncatted -O -a grid_mapping,abundance,d,, /data/erddap/FilesToImport/biology/calanus_finmarchicus_helgolandicus_year.nc
Wed Mar 15 11:18:39 2023: ncatted -O -a axis,time,d,, /data/erddap/FilesToImport/biology/calanus_finmarchicus_helgolandicus_year.nc
Wed Mar 15 11:10:19 2023: ncatted -O -a axis,lat,d,, calanus_finmarchicus_helgolandicus_year.nc
Wed Mar 15 11:10:08 2023: ncatted -O -a reference_datum,lat,d,, calanus_finmarchicus_helgolandicus_year.nc
Wed Mar 15 11:09:54 2023: ncatted -O -a valid_min,lat,d,, calanus_finmarchicus_helgolandicus_year.nc
Wed Mar 15 11:09:46 2023: ncatted -O -a valid_max,lat,d,, calanus_finmarchicus_helgolandicus_year.nc
Wed Mar 15 11:09:41 2023: ncatted -O -a valid_max,lon,d,, calanus_finmarchicus_helgolandicus_year.nc
Wed Mar 15 11:09:35 2023: ncatted -O -a valid_min,lon,d,, calanus_finmarchicus_helgolandicus_year.nc
Wed Mar 15 11:09:23 2023: ncatted -O -a reference_datum,lon,d,, calanus_finmarchicus_helgolandicus_year.nc
Wed Mar 15 11:08:42 2023: ncatted -O -a axis,lon,d,, calanus_finmarchicus_helgolandicus_year.nc
Wed Mar 15 10:55:47 2023: ncatted -O -a _FillValue,lat,d,c, calanus_finmarchicus_helgolandicus_year_v2.nc
Wed Mar 15 10:55:08 2023: ncatted -O -a _FillValue,lon,d,c, calanus_finmarchicus_helgolandicus_year_v2.nc
2023-12-01T12:40:36Z (local files)
2023-12-01T12:40:36Z https://erddap.emodnet.eu/griddap/biology_8220_a8b5_8cec_1c23.das";
    String infoUrl "???";
    String institution "University of Liege and Marine Biological Association";
    String keywords "absence, abundance, aphiaid, association, based, biological, calanus, data, error, finmarchicus, helgolandicus, interpolated, liege";
    String language "Julia 1.8.5";
    String license "GNU General Public License v2.0";
    String NCO "netCDF Operators version 5.0.6 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)";
    String netcdf_version "4";
    Float64 noise_to_signal_ratio 5.0;
    Float64 Northernmost_Northing 66.25;
    String processing_authors "C. Troupin <ctroupin@uliege>, A. Barth <a.barth@uliege.be>";
    String project "EMODnet Biology Phase IV";
    String publisher_email "info@vliz.be";
    String publisher_name "VLIZ";
    String publisher_type "institution";
    String publisher_url "http://www.vliz.be/";
    String source "Spatial interpolation of presence/absence data";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 41.25;
    Int32 Species_aphiaID 104464, 104466;
    String Species_scientific_name 
"Calanus_finmarchicus
Calanus_helgolandicus";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Original data prepared by P. Helaouet (Marine Biological Association)";
    String time_coverage_end "2018-01-01T00:00:00Z";
    String time_coverage_start "1959-01-01T00:00:00Z";
    String title "Interpolated abundance based on presence/absence of Calanus_finmarchicus and Calanus_helgolandicus";
    String tool "DIVAnd";
    String tool_doi "10.5281/zenodo.7016823";
    String tool_version "2.7.10";
    Float64 Westernmost_Easting -20.5;
  }
}

 

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.

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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