Data Access Form

Dataset Title:	AORA Bathymetry
Institution:	AORA (Dataset ID: AORA_asc)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Make a graph

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Dimensions	Size	Spacing
latitude (degrees_north)	14883	5.744363E-4 (even)

longitude (degrees_east)	74188	5.744363E-4 (even)

Grid Variables (which always also download all of the dimension variables)

Depth (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 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, ... )
2025-10-30T17:23:29Z (local files)
2025-10-30T17:23:29Z https://erddap.marine.ie/erddap/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.

(easy) You can get data by using the dataset's Data Access Form. It makes the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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.