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Dataset Title:  Top Dataset, Regional, southern louisiana 13 navd88 2010 (Southern Louisiana
NAVD 88), 9.259259E-5°
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Institution:  NOAA   (Dataset ID: noaa_ngdc_74da_027f_7c37)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 latitude (degrees_north) ?      11881    9.259259E-5 (even)
  < slider >
 longitude (degrees_east) ?      30241    9.259259E-5 (even)
  < slider >
Grid Variables (which always also download all of the dimension variables)
 z ?

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 28.6, 29.7;
    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 -91.6, -88.8;
    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 -1191.85, 22.91796;
    Float64 colorBarMaximum 500.0;
    Float64 colorBarMinimum -1500.0;
    String ioos_category "Location";
    String long_name "z";
    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 -88.8;
    Float64 geospatial_lat_max 29.7;
    Float64 geospatial_lat_min 28.6;
    Float64 geospatial_lat_resolution 9.259259259259241e-5;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -88.8;
    Float64 geospatial_lon_min -91.6;
    Float64 geospatial_lon_resolution 9.259259259259249e-5;
    String geospatial_lon_units "degrees_east";
    String GMT_version "4.5.1 [64-bit]";
    String history 
"xyz2grd -V -R-91.6/-88.8/28.6/29.7 -I0.3333333c -Gsola_4.5.grd
    String id "regionalDatasetScan/southern_louisiana_13_navd88_2010.nc";
    String infoUrl "";
    String institution "NOAA";
    String keywords "centers, data, dataset, environmental, information, latitude, longitude, louisiana, national, navd, navd88, ncei, nesdis, noaa, regional, southern, 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.";
    Float64 Northernmost_Northing 29.7;
    String publisher_email "";
    String publisher_name "National Centers for Environmental Information";
    String publisher_type "group";
    String publisher_url "";
    String sourceUrl "";
    Float64 Southernmost_Northing 28.6;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Southern Louisiana NAVD 88. 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, southern louisiana 13 navd88 2010 (Southern Louisiana NAVD 88), 9.259259E-5°";
    Float64 Westernmost_Easting -91.6;


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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