Data Access Form

Dataset Title:	Vessel traffic density, 2019, Passenger
Institution:	Flanders Marine Institute (Dataset ID: EMODPACE_VD_08_Passenger)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Files \| Make a graph

To work correctly, this web page requires that JavaScript be enabled in your browser. Please:
1) Enable JavaScript in your browser:
      • Chrome: "Settings : Advanced : Privacy and security : Site Settings : JavaScript"
      • Firefox: (it should be always on!)"
      • Opera: "Settings : Websites : JavaScript"
      • Safari: "Safari : Preferences : Security : Enable JavaScript"
2) Reload this web page.

Dimensions	Size	Spacing
time (UTC)	12	30 days 8h 43m 38s (uneven)

latitude (degrees_north)	4327	0.00904714 (even)

longitude (degrees_east)	9937	0.009047138 (even)

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

vd (Vessel density, seconds)

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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.5463008e+9, 1.5751584e+9;
    String axis "T";
    String calendar "gregorian";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -7.857779, 31.28015;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 32.25764, 122.15;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  vd {
    Float32 _FillValue -9999.0;
    String ioos_category "Physical Oceanography";
    String long_name "Vessel density";
    Float32 missing_value -9999.0;
    String units "seconds";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "CF-1.8, COARDS, ACDD-1.3";
    String creator_email "frederic.leclercq@vliz.be";
    String creator_name "Frederic Leclercq";
    String creator_type "person";
    String date_created "2021-12-20";
    Float64 Easternmost_Easting 122.15;
    Float64 geospatial_lat_max 31.28015;
    Float64 geospatial_lat_min -7.857779;
    Float64 geospatial_lat_resolution 0.009047140314378178;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 122.15;
    Float64 geospatial_lon_min 32.25764;
    Float64 geospatial_lon_resolution 0.00904713768115942;
    String geospatial_lon_units "degrees_east";
    Float64 grid_mapping_inverse_flattening 298.257223563;
    String grid_mapping_long_name "Coordinate Reference System - WGS84";
    Float64 grid_mapping_longitude_of_prime_meridian 0.0;
    String grid_mapping_name "latitude_longitude";
    Float64 grid_mapping_semi_major_axis 6378137.0;
    String history 
"Fri Jan 14 15:33:36 2022: ncpdq -a -lat full_EMOD-PACE_VD_st_08.nc full_EMOD-PACE_VD_st_08_rev.nc
created by VLIZ.
2024-12-22T02:51:05Z (local files)
2024-12-22T02:51:05Z https://erddap.emodnet.eu/erddap/griddap/EMODPACE_VD_08_Passenger.das";
    String infoUrl "???";
    String institution "Flanders Marine Institute";
    String keywords "data, density, flanders, institute, marine, oceanography, physical, physical oceanography, time, vessel";
    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.";
    String NCO "netCDF Operators version 4.9.1 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)";
    Float64 Northernmost_Northing 31.28015;
    String note "Test - merging multiple GeoTIFFS to NetCDF";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -7.857779;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Vessel Density. Flanders Marine Institute data from a local source.";
    String time_coverage_end "2019-12-01T00:00:00Z";
    String time_coverage_start "2019-01-01T00:00:00Z";
    String title "Vessel traffic density, 2019, Passenger";
    String version "Version 1.0";
    String website "http://vliz.be";
    Float64 Westernmost_Easting 32.25764;
  }
}

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.