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ERDDAP > griddap > Make A Graph ?

Dataset Title:  Data from a local source. Subscribe RSS
Institution:  ???   (Dataset ID: test_12)
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
y (m) ?
    +
    - >>
< slider >
x (m) ?
    +
    -
< slider >
 
Graph Settings
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
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 ? )
    [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 {
  y {
    Float64 actual_range 4677774.158, 6519174.158;
    String ioos_category "Location";
    String long_name "y coordinate of projection";
    String standard_name "projection_y_coordinate";
    String units "m";
  }
  x {
    Float64 actual_range -1.0288021955e+7, -8446621.955;
    String ioos_category "Location";
    String long_name "x coordinate of projection";
    String standard_name "projection_x_coordinate";
    String units "m";
  }
  Band1 {
    Int16 _FillValue 0;
    String _Unsigned "true";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String grid_mapping "mercator";
    String ioos_category "Statistics";
    String long_name "GDAL Band Number 1";
    Int16 valid_range 0, 255;
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String GDAL "GDAL 2.1.3, released 2017/20/01";
    String GDAL_AREA_OR_POINT "Area";
    String GDAL_TIFFTAG_ARTIST "NOAA CoastWatch Great Lakes Node";
    String GDAL_TIFFTAG_DATETIME "2019:02:12 03:20:03";
    String GDAL_TIFFTAG_IMAGEDESCRIPTION "temperature ";
    String GDAL_TIFFTAG_RESOLUTIONUNIT "1 (unitless)";
    Int32 GDAL_TIFFTAG_XRESOLUTION 0;
    Int32 GDAL_TIFFTAG_YRESOLUTION 0;
    String history 
"Wed Feb 13 17:08:33 2019: GDAL CreateCopy( 2019_042_glsea.nc, ... )
2019-03-21T12:53:09Z (local files)
2019-03-21T12:53:09Z http://coastwatch.glerl.noaa.gov/griddap/test_12.das";
    String infoUrl "???";
    String institution "???";
    String keywords "band, Band1, data, gdal, local, number, source, statistics";
    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.";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Data from a local source.";
    String title "Data from a local source.";
  }
}

 

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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