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ERDDAP > griddap > Make A Graph ?

Dataset Title:  AORA Bathymetry   RSS
Institution:  AORA   (Dataset ID: AORA_asc)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
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:   Ascending: 
 
(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 {
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 45.932321493156394, 54.48108270014554;
    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 -53.046577782043606, -10.430871044850768;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Depth {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum -100.0;
    Float64 colorBarMinimum -4800.0;
    String ioos_category "Statistics";
    String long_name "GDAL Band Number 1";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    Float64 Easternmost_Easting -10.430871044850768;
    String GDAL "GDAL 2.4.1, released 2019/03/15";
    Float64 geospatial_lat_max 54.48108270014554;
    Float64 geospatial_lat_min 45.932321493156394;
    Float64 geospatial_lat_resolution 5.744363127932501e-4;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -10.430871044850768;
    Float64 geospatial_lon_min -53.046577782043606;
    Float64 geospatial_lon_resolution 5.7443631279325e-4;
    String geospatial_lon_units "degrees_east";
    String history 
"Thu Jan 09 13:50:02 2020: GDAL CreateCopy( Z:\\ArcGis\\WebMappingService\\WebsiteUpdates\\2019\\Dec2019\\Atlantic_Merged_19122019\\MergedFile\\CE15_to_CE18_Atlantic_Merged_WGS84_Tiles_100m_All.nc, ... )
2020-02-17T21:29:09Z (local files)
2020-02-17T21:29:09Z https://erddap.marine.ie/griddap/AORA_asc.das";
    String infoUrl "http://data.marine.ie/geonetwork/srv/eng/catalog.search#/metadata/ie.marine.data:dataset.3978";
    String institution "AORA";
    String keywords "Atlantic, band, Band1, bathymetry, data, depth";
    String license "Creative Commons Attribution 4.0 (https://creativecommons.org/licenses/by/4.0/)";
    Float64 Northernmost_Northing 54.48108270014554;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 45.932321493156394;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Atlantic Ocean Research Alliance (AORA) Bathymetry Data.";
    String title "AORA Bathymetry";
    Float64 Westernmost_Easting -53.046577782043606;
  }
}

 

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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