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Dataset Title:  EMODnet Physics - RIVER FLOW YEARLY RECORDING DENSITY Subscribe RSS
Institution:  EMODnet Physics   (Dataset ID: ERD_EP_RVFL_DNS)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      102    365 days 6h 10m 42s (even)
  < slider >
 latitude (degrees_north) ?      180    -1.0 (even)
  < slider >
 longitude (degrees_east) ?      360    1.0 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 DENSITY ?

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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range -1.5779232e+9, 1.6094592e+9;
    String axis "T";
    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 -89.5, 89.5;
    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 -179.5, 179.5;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  DENSITY {
    Int32 _FillValue 2147483647;
    Float64 colorBarMaximum 366.0;
    Float64 colorBarMinimum 1.0;
    String long_name "DENSITY";
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.7.3,hdf5=1.10.6";
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    Float64 Easternmost_Easting 179.5;
    Float64 geospatial_lat_max 89.5;
    Float64 geospatial_lat_min -89.5;
    Float64 geospatial_lat_resolution 1.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.5;
    Float64 geospatial_lon_min -179.5;
    Float64 geospatial_lon_resolution 1.0;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-10-06T09:23:51Z (local files)
2024-10-06T09:23:51Z https://erddap.emodnet-physics.eu/erddap/griddap/ERD_EP_RVFL_DNS.das";
    String infoUrl "https://portal.emodnet-physics.eu/";
    String institution "EMODnet Physics";
    String keywords "data, density, latitude, local, longitude, source, time";
    String license "Creative Commons Attribution Share-Alike http://www.opendefinition.org/licenses/cc-by-sa";
    Float64 Northernmost_Northing 89.5;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.5;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "EMODnet Physics - RIVER FLOW YEARLY RECORDING DENSITY";
    String time_coverage_end "2021-01-01T00:00:00Z";
    String time_coverage_start "1920-01-01T00:00:00Z";
    String title "EMODnet Physics - RIVER FLOW YEARLY RECORDING DENSITY";
    Float64 Westernmost_Easting -179.5;
  }
}

 

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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