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Dataset Title:  Top Dataset, Regional, rarotonga 1 isl 2016 (GDAL Band Number 1), 2.7777778E-4° Subscribe RSS
Institution:  NOAA   (Dataset ID: noaa_ngdc_a469_2846_b8ea)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 latitude (degrees_north) ?      4284    2.777778E-4 (even)
  < slider >
 longitude (degrees_east) ?      4824    2.777778E-4 (even)
  < slider >
Grid Variables (which always also download all of the dimension variables)
 Band1 (GDAL Band Number 1) ?

File type: (more info)

(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 -21.869861111109998, -20.680138879370002;
    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 -160.41986111110998, -159.08013887817;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  Band1 {
    Float32 _FillValue -99999.0;
    Float32 actual_range 0.0, 0.0;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String grid_mapping "crs";
    String ioos_category "Statistics";
    String long_name "GDAL Band Number 1";
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "";
    String creator_name "National Centers for Environmental Information";
    String creator_type "group";
    String creator_url "";
    Float64 Easternmost_Easting -159.08013887817;
    String GDAL "GDAL 2.1.0, released 2016/04/25";
    String GDAL_AREA_OR_POINT "Area";
    Float64 geospatial_lat_max -20.680138879370002;
    Float64 geospatial_lat_min -21.869861111109998;
    Float64 geospatial_lat_resolution 2.7777777999999905e-4;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -159.08013887817;
    Float64 geospatial_lon_min -160.41986111110998;
    Float64 geospatial_lon_resolution 2.777777799999952e-4;
    String geospatial_lon_units "degrees_east";
    String GMT_version "4.5.13 [64-bit]";
    String history 
"Thu Aug 10 22:28:35 2017: GDAL CreateCopy(, ... )
    String id "regionalDatasetScan/rarotonga_1_isl_2016.nc";
    String infoUrl "";
    String institution "NOAA";
    String keywords "band, Band1, centers, data, dataset, environmental, gdal, information, isl, latitude, longitude, national, ncei, nesdis, noaa, number, rarotonga, regional, statistics, top";
    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.";
    Int32 node_offset 1;
    Float64 Northernmost_Northing -20.680138879370002;
    String publisher_email "";
    String publisher_name "National Centers for Environmental Information";
    String publisher_type "group";
    String publisher_url "";
    String sourceUrl "";
    Float64 Southernmost_Northing -21.869861111109998;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "GDAL Band Number 1. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.";
    String title "Top Dataset, Regional, rarotonga 1 isl 2016 (GDAL Band Number 1), 2.7777778E-4°";
    Float64 Westernmost_Easting -160.41986111110998;


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{?query}
For example,[(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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