Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.565568e+9, 1.5667776e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Sampling Date";
    String source_name "date";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  sea_floor_depth_below_sea_surface {
    Float32 _FillValue 1.0e+36;
    Float32 actual_range -57.358, 1.3;
    String axis "Z";
    String ioos_category "Bathymetry";
    String long_name "Sea Floor Depth";
    String name "sea_floor_depth_below_sea_surface";
    String source_name "sea_floor_depth_below_sea_surface";
    String standard_name "sea_floor_depth_below_sea_surface";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 _FillValue 1.0e+36;
    Float32 actual_range 49.01735, 49.22201;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String name "latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 _FillValue 1.0e+36;
    Float32 actual_range -68.46667, -68.0882;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String name "longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "degrees_east";
  }
  instrument {
    String description "The instruments used to collect bathymetric data | Les instruments utilisés pour collecter les données bathymétriques";
    String long_name "Instrument";
    String name "instrument";
    String units "unitless";
  }
  project {
    String description "The name of the project with which the data is affiliated | Le nom du projet auquel les données sont affiliées";
    String long_name "Project name";
    String name "project";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String author_affiliation "Université du Québec à Rimouski";
    String author_affiliation_identifier "https://ror.org/049jtt335";
    String author_email "\"veronique_theriault2@uqar.ca\"";
    String author_name "Véronique Thériault";
    String cdm_data_type "Point";
    String Conventions "CF-1.8 COARDS ACDD-1.3";
    String creator_name "Université du Québec à Rimouski";
    String dataset_status "completed";
    String defaultGraphQuery ".marker=11|5";
    Float64 Easternmost_Easting -68.0882;
    String featureType "Point";
    String format_version "v1";
    Float64 geospatial_lat_max 49.22201;
    Float64 geospatial_lat_min 49.01735;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -68.0882;
    Float64 geospatial_lon_min -68.46667;
    String geospatial_lon_units "degrees_east";
    String geospatial_vertical_units "meters";
    String history "Bathymetry data, only the variable names as changed from the original files. / netcdf file generated on 2023-02-02 from a csv with the custom SLGO app CFCM.
2024-04-25T11:26:31Z (local files)
2024-04-25T11:26:31Z https://erddap.ogsl.ca/erddap/tabledap/uqarWisemanBathymetry.das";
    String infoUrl "https://catalogue.ogsl.ca/dataset/ca-cioos_65fe38af-baea-46cf-a0c6-e17145ce2f07";
    String institution "Université du Québec à Rimouski";
    String instrument "Multibeam echosounder, Hydroball buoy";
    String instrument_id "Reson Seabat 7125-SV2, Hydroball M2Ocean";
    String key_variables "bathymetry";
    String keywords "bathymetry, ocean color, remote sensing";
    String keywords_fr "bathymétrie, couleur de l'eau, télédétection";
    String keywords_vocabulary "NASA Global Change Master Directory (GCMD) Science Keywords and homemade keywords";
    String license "Creative Commons Attribution 4.0 International licence (CC-BY 4.0)";
    Float64 Northernmost_Northing 49.22201;
    String platform "surface vessel";
    String platform_name "F.-J. Saucier";
    String platform_vocabulary "https://vocab.nerc.ac.uk/collection/L06/current/3Z/";
    String platformID_ISMM "316028406";
    String principal_investigator_affiliation "Université du Québec à Rimouski";
    String principal_investigator_affiliation_identifier "https://ror.org/049jtt335";
    String principal_investigator_email "\"Simon_Belanger@uqar.ca\"";
    String principal_investigator_name "Simon Bélanger";
    String product_version "v1";
    String project "Coastal Environmental Baseline Data Program | Programme sur les données environnementales côtières de référence";
    String published_date "2022-10-13";
    String publisher "St. Lawrence Global Observatory | Observatoire Global du Saint-Laurent";
    String publisher_identifier "https://ror.org/03wfagk22";
    String related_datasets "https://catalogue.ogsl.ca/en/dataset/a90987aa-61a3-4c0a-900f-3c97dfb2cca1
        https://catalogue.ogsl.ca/fr/dataset/ca-cioos_d624c859-5b72-4ee9-a832-d532582b1d3f
        https://catalogue.ogsl.ca/dataset/ca-cioos_dbc63b41-b1ab-46be-a1a2-388d07c70cbb";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 49.01735;
    String standard_name_nerc_vocabulary "The NERC Vocabulary Server (NVS).";
    String standard_name_vocabulary "CF Standard Name Table v79";
    String subsetVariables "time, instrument, project";
    String summary "This dataset includes depths measured from a boat, using multi-beam and single-beam echo sounders. It is also possible to consult the other datasets on different themes related to the WISE-man project (intertidal environment, optical, biogeochemical). The WaterSat Imaging Spectrometer Experiment (WISE) is developed for optically shallow inland and coastal waters assessment. The WISE-Man project objective was to demonstrate the potential of hyperspectral imagery for mapping bathymetry, water column quality (or inherent optical properties) and retrieve bottom properties; this in order to respond to the pressing needs of science (e.g. ecology, geomorphology, coastal risk), resource management and defense operation. Within the framework of WISE-Man, an intensive fieldwork campaign was conducted in the Manicouagan; Baie-Comeau region in August 2019.";
    String summary_fr "Ce jeu de données comprend les profondeurs mesurées à partir d'un bateau, à l'aide d'échosondeurs multi et mono faisceaux. Il est aussi possible de consulter les autres jeux de données sur des thématiques différentes reliés au projet WISE-Man (milieu intertidal, optique, biogéochimie). Le projet de te?le?de?tection hyperspectrale des eaux co?tie?res peu profondes a? l?aide du capteur WISE (WaterSat Imaging Spectrometer Experiment;projet WISE-Man) a comme objectif de démontrer le potentiel de l'imagerie hyperspectrale pour dériver des données de bathymétrie, de qualité de l'eau (et des propriétés optiques inhérentes) ainsi que des propriétés du substrat. Ces données peuvent ensuite servir à des besoins scientifiques (écologie, géomorphologie, risques côtiers), à la gestion des ressources ainsi qu'aux opérations de défense. Dans le contexte du projet WISE-Man, une campagne-terrain intensive a été réalisée dans la région de Manicouagan; Baie-Comeau en août 2019.";
    String time_coverage_end "2019-08-26";
    String time_coverage_start "2019-08-12";
    String title "WISE-Man Project (WaterSat Imaging Spectrometer Experiment), characterization of shallow inland and coastal waters: bathymetry | Projet WISE-Man (WaterSat Imaging Spectrometer Experiment), caractérisation des eaux co?tie?res peu profondes dans la Péninsule de Manicouagan : données bathymétriques";
    String update_frequency "asNeeded";
    Float64 Westernmost_Easting -68.46667;
  }
}