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ERDDAP > griddap > Make A Graph ?

Dataset Title:  Top Dataset, Coastal Relief Model by Volume, crm vol9 (crm_v9), 8.3333335E-4° Subscribe RSS
Institution:  NOAA NCEI   (Dataset ID: noaa_ngdc_1c7c_3132_0eb3)
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 16.0, 20.0;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String source_name "y";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -68.0, -64.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String source_name "x";
    String standard_name "longitude";
    String units "degrees_east";
  }
  z {
    Float32 _FillValue NaN;
    Float32 actual_range -6488.0, 1320.0;
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "Topography";
    String ioos_category "Bathymetry";
    String long_name "z";
    String positive "up";
    String units "meters";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "dem.info@noaa.gov";
    String creator_name "National Centers for Environmental Information (NCEI)";
    String creator_type "group";
    String creator_url "https://www.ngdc.noaa.gov/mgg/bathymetry/relief.html";
    Float64 Easternmost_Easting -64.0;
    Float64 geospatial_lat_max 20.0;
    Float64 geospatial_lat_min 16.0;
    Float64 geospatial_lat_resolution 8.333333333333334e-4;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -64.0;
    Float64 geospatial_lon_min -68.0;
    Float64 geospatial_lon_resolution 8.333333333333334e-4;
    String geospatial_lon_units "degrees_east";
    String GMT_version "4.5.1 [64-bit]";
    String history 
"xyz2grd -R-68/-64/16/20 -I3c -Gcrm_v9.grd
2018-07-20T14:28:33Z https://www.ngdc.noaa.gov/thredds/dodsC/crm/crm_vol9.nc
2018-07-20T14:28:33Z http://upwell.pfeg.noaa.gov/griddap/noaa_ngdc_1c7c_3132_0eb3.das";
    String id "crmDatasetScan/crm_vol9.nchttps://www.ngdc.noaa.gov/thredds/dodsC/crm/crm_vol9.nc";
    String infoUrl "https://www.ngdc.noaa.gov/mgg/coastal/crm.html";
    String institution "NOAA NCEI";
    String keywords "bathymetry, center, centers, coastal, coastal relief model, crm, data, dataset, environmental, geological, geophysical, gom, gulf, information, latitude, longitude, mexico, model, national, ncei, nesdis, ngdc, noaa, nos, ocean, relief, service, states, survey, top, united, usgs, vol9, volume";
    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 20.0;
    String publisher_email "dem.info@noaa.gov";
    String publisher_name "National Centers for Environmental Information (NCEI)";
    String publisher_type "group";
    String publisher_url "https://www.ngdc.noaa.gov/mgg/bathymetry/relief.html";
    String sourceUrl "https://www.ngdc.noaa.gov/thredds/dodsC/crm/crm_vol9.nc";
    Float64 Southernmost_Northing 16.0;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "crm_v9. National Geophysical Data Center (NGDC)'s 3 arc-second U.S. Coastal Relief Model (CRM) provides the first comprehensive view of the U.S. coastal zone, integrating offshore bathymetry with land topography into a seamless representation of the coast. The CRM spans the U.S. East and West Coasts, the northern coast of the Gulf of Mexico, Puerto Rico, and Hawaii, reaching out to, and in places even beyond, the continental slope. Bathymetric and topographic data sources include: NGDC's National Ocean Service (NOS) hydrographic surveys, multibeam bathymetry, and trackline bathymetry; the U.S. Geological Survey (United States Geological Survey (USGS)); and other federal government agencies and academic institutions.";
    String title "Top Dataset, Coastal Relief Model by Volume, crm vol9 (crm_v9), 8.3333335E-4°";
    Float64 Westernmost_Easting -68.0;
  }
}

 

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://upwell.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://upwell.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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