Data Access Form

Dataset Title:	Normalized Avian Richness: Fish Eaters
Institution:	Rutgers University (Dataset ID: Avian_Richness_Fish_Eaters)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Files \| Make a graph

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Dimensions	Size	Spacing
latitude (degrees_north)	1047	0.02000001 (even)

longitude (degrees_east)	991	0.02 (even)

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

richness (Normalized Species Richness)

File type: (more information)

(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 {
    UInt32 _ChunkSizes 1047;
    String _CoordinateAxisType "Lat";
    Float32 actual_range 23.81879, 44.7388;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    UInt32 _ChunkSizes 991;
    String _CoordinateAxisType "Lon";
    Float32 actual_range -82.99874, -63.19874;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  richness {
    Float32 _FillValue -999999.0;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Taxonomy";
    String long_name "Normalized Species Richness";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String comment "Fish eater species include Arctic tern, Atlantic puffin, Audubons shearwater, Band-rumped storm-petrel, Black guillemot, Black-capped petrel, Black-legged kittiwake, Bonapartes gull, Brown pelican, Common loon, Common murre, Common tern, Corys shearwater, Double-crested cormorant, Great black-backed gull, Great shearwater, Great skua, Herring gull, Horned grebe, Laughing gull, Leachs storm-petrel, Least tern, Manx shearwater, Northern fulmar, Northern gannet, Parasitic Jaeger, Razorbill, Red-throated loon, Ring-billed gull, Roseate tern, Royal tern, Sooty shearwater, Sooty Tern, South Polar Skua, Thick-billed Murre, and Wilsons storm-petrel.";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    Float64 Easternmost_Easting -63.19874;
    Float64 geospatial_lat_max 44.7388;
    Float64 geospatial_lat_min 23.81879;
    Float64 geospatial_lat_resolution 0.020000009560229442;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -63.19874;
    Float64 geospatial_lon_min -82.99874;
    Float64 geospatial_lon_resolution 0.019999999999999997;
    String geospatial_lon_units "degrees_east";
    String history 
"Created by Eli Hunter (hunter@marine.rutgers.edu),16-Apr-2020 15:25:30
2025-02-21T14:39:51Z (local files)
2025-02-21T14:39:51Z https://nybsand.marine.rutgers.edu/erddap/griddap/Avian_Richness_Fish_Eaters.das";
    String infoUrl "https://portal.midatlanticocean.org/data-catalog";
    String institution "Rutgers University";
    String keywords "avian, data, eaters, fish, normalized, richness, species, taxonomy";
    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 44.7388;
    String source "http://seamap.env.duke.edu/models/mdat/,avian_richness_Fish_eaters_normalized.tif";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 23.81879;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "For all species together and for each group of species, total abundance maps are calculated in a Geographic Information System (GIS) by stacking each individual species predicted annual abundance layers and summing the values of the pixels in each resulting \"column\". The result is the total predicted abundance of all individuals (of the included species) in that cell.";
    String title "Normalized Avian Richness: Fish Eaters";
    Float64 Westernmost_Easting -82.99874;
  }
}

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.