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Dataset Title:  EMODNET Bathymetry DTM 2020 full Subscribe RSS
Institution:  VLIZ   (Dataset ID: dtm_2020_v2_e0bf_e7e4_5b8f)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 latitude (degrees_north) ?      72028    0.001041262 (uneven)
  < slider >
 longitude (degrees_east) ?      75868    0.001041282 (uneven)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 elevation (Sea-floor height (above Lowest Astronomical Tide datum) {bathymetric height}, m) ?

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 {
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 15.000520833333335, 89.99947916665815;
    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 -35.99947916666667, 42.999479166657686;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  elevation {
    Float32 _FillValue 0.0;
    String long_name "Sea-floor height (above Lowest Astronomical Tide datum) {bathymetric height}";
    String standard_name "sea_surface_height";
    String units "m";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String comment "Uses attributes recommended by https://cfconventions.org";
    String Conventions "CF-1.8, COARDS, ACDD-1.3";
    String creator_name "VLIZ";
    String creator_type "institution";
    String creator_url "https://vliz.be";
    String description "EMODNET Bathymetry DTM 2020";
    Float64 Easternmost_Easting 42.999479166657686;
    Float64 geospatial_lat_max 89.99947916665815;
    Float64 geospatial_lat_min 15.000520833333335;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 42.999479166657686;
    Float64 geospatial_lon_min -35.99947916666667;
    String geospatial_lon_units "degrees_east";
    String history 
"source of the data can be found in the dataset or in the documentation available from  http://www.emodnet-bathymetry.eu/
2024-07-18T05:06:34Z (local files)
2024-07-18T05:06:34Z https://erddap.emodnet.eu/erddap/griddap/dtm_2020_v2_e0bf_e7e4_5b8f.das";
    String infoUrl "https://vliz.be";
    String institution "VLIZ";
    String keywords "above, astronomical, bathymetric, bathymetry, data, datum, dtm, earth, Earth Science > Oceans > Sea Surface Topography > Sea Surface Height, elevation, emodnet, floor, full, height, lowest, ocean, oceans, science, sea, sea-floor, sea_surface_height, surface, tide, topography, vliz";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    Float64 Northernmost_Northing 89.99947916665815;
    String references "https://vliz.be";
    String source "source of the data can be found in the dataset or in the documentation available from  http://www.emodnet-bathymetry.eu/";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 15.000520833333335;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "EMODNET Bathymetry DTM 2020. VLIZ data from a local source.";
    String title "EMODNET Bathymetry DTM 2020 full";
    Float64 Westernmost_Easting -35.99947916666667;
  }
}

 

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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