netcdf atlDatasets/ShallowWaterBathymetry/bathymetry_greater_lisbon_new.nc {
  dimensions:
    TIME = UNLIMITED;   // (1 currently)
    LON = 2656;
    LAT = 2321;
  variables:
    float TIME(TIME=1);
      :definition = "Time measured as seconds since 1970-01-01 00:00:00 UTC using the gregorian calendar (time)";
      :long_name = "time";
      :standard_name = "time";
      :units = "seconds since 1970-01-01 00:00:00Z";
      :other = "gregorian calendar";
      :_ChunkSizes = 1024U; // uint

    float LON(LON=2656);
      :definition = "Longitude is positive eastward (longitude)";
      :long_name = "longitude";
      :standard_name = "longitude";
      :units = "degrees_east";
      :other = "axis = X; valid_min = -180.0; valid_max = 180.0";

    float BATH(TIME=1, LAT=2321, LON=2656);
      :_FillValue = NaNf; // float
      :definition = "Vertical distance between the sea surface at Hydrographic Zero (HZ) and the seabed floor (bathymetric depth)";
      :long_name = "bathymetric depth";
      :standard_name = "bathymetric depth";
      :units = "meters";
      :_ChunkSizes = 1U, 1161U, 1328U; // uint

    float LAT(LAT=2321);
      :definition = "Latitude is positive northward (latitude)";
      :long_name = "latitude";
      :standard_name = "latitude";
      :units = "degrees_north";
      :other = "axis = Y; valid_min = -90.0; valid_max = 90.0";

  // global attributes:
  :title = "Satellite Derived Bathymetry";
  :summary = "This dataset includes a satellite-derived shallow water bathymetry, predicted using Machine Learning based on data available from satellite (Sentinel-2), in relation to Hidrographical Zero (2.08 m below the mean sea level, measured at Cascais tide gauge) in Lisbon coastal region.";
  :source_platform_category_code = "satellite";
  :platform = "Sentinel2B";
  :platform_type = "orbiting satellite";
  :platform_vocabulary = "BODC";
  :instrument = "MultiSpectral Instrument (MSI)";
  :instrument_vocabulary = "BODC";
  :institution = "CoLAB +ATLANTIC";
  :institution_edmo_code = "5952";
  :references = "";
  :product_version = "v1.0";
  :version_date = "2025-09-04T09:54:56Z";
  :geospatial_lat_min = "38.54851969570272";
  :geospatial_lat_max = "38.75693446258467";
  :geospatial_lon_min = "-9.494956433701166";
  :geospatial_lon_max = "-9.189414173366105";
  :geospatial_vertical_min = "2.69";
  :geospatial_vertical_max = "13.5";
  :geospatial_vertical_positive = "down";
  :grid_resolution = "10 m";
  :update_interval = "void";
  :processing_level = "L4";
  :creator_name = "https://orcid.org/0009-0007-0157-2202";
  :creator_url = "https://colabatlantic.com";
  :contributor_name = "https://orcid.org/0000-0001-7805-9086";
  :method = "Optical inversion approach, using in-situ bathymetric observations and ML modeling, using atmospheric corrected multispectral satellite images";
  :track_id = "ToBeUpdate";
  :scientific_support_contact = "luis.figueiredo@colabatlantic.com";
  :technical_support_contact = "atlanticsense@colabatlantic.com";
}