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Dataset Title:  EMSO Western Ligurian : Albatross mooring, MICROCAT sensor (NetCDF 2018-2019) Subscribe RSS
Institution:  MIO UMR 7294 CNRS / OSU Pytheas   (Dataset ID: Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2018)
Range: longitude = 6.043 to 6.043°E, latitude = 42.79 to 42.79°N, time = 2018-05-01T21:31:39Z to 2019-10-01T18:11:06Z
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Subset | Data Access Form | Files
 
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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.525210299e+9, 1.569953466e+9;
    String ancillary_variables "TIME_QC";
    String axis "T";
    String calendar "standard";
    String coverage_content_type "coordinate";
    String ioos_category "Time";
    String long_name "time of measurements";
    String origin "01-JAN-1970 00:00:00";
    String sdn_parameter_name "Elapsed time relative to 1970-01-01T00:00:00Z";
    String sdn_parameter_urn "SDN:P01::ELTJLD01";
    String sdn_uom_name "seconds";
    String sdn_uom_urn "SDN:P06::UTAA";
    String sensor_manufacturer "Sea-Bird Scientific";
    String sensor_manufacturer_uri "https://vocab.nerc.ac.uk/collection/L35/current/MAN0013/";
    String sensor_manufacturer_urn "SDN:L35::MAN0013";
    String sensor_model "Sea-Bird SBE 37 MicroCat IMP-CTP-ODO (submersible) CTD sensor";
    String sensor_mount "mounted_on_mooring_line";
    String sensor_orientation "horizontal";
    String sensor_reference "https://vocab.nerc.ac.uk/collection/L22/current/TOOL1538";
    String sensor_SeaVoX_L22_code "SDN:L22::TOOL1538";
    String sensor_serial_number "03716360";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  PRES {
    Float64 _FillValue NaN;
    Float64 actual_range 50.955, 2397.653;
    String ancillary_variables "PRES_QC";
    Float64 colorBarMaximum 5000.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Pressure";
    String long_name "pressure";
    Float64 missing_value NaN;
    String sdn_parameter_name "Pressure (measured variable) exerted by the water body plus atmosphere by fixed in-situ pressure sensor";
    String sdn_parameter_urn "SDN:P01::PRSTPS01";
    String sdn_uom_name "Decibars";
    String sdn_uom_urn "SDN:P06::UPDB";
    String sensor_manufacturer "Sea-Bird Scientific";
    String sensor_manufacturer_uri "https://vocab.nerc.ac.uk/collection/L35/current/MAN0013/";
    String sensor_manufacturer_urn "SDN:L35::MAN0013";
    String sensor_model "Sea-Bird SBE 37 MicroCat IMP-CTP-ODO (submersible) CTD sensor";
    String sensor_mount "mounted_on_mooring_line";
    String sensor_orientation "horizontal";
    String sensor_reference "https://vocab.nerc.ac.uk/collection/L22/current/TOOL1538";
    String sensor_SeaVoX_L22_code "SDN:L22::TOOL1538";
    String sensor_serial_number "03716360";
    String standard_name "sea_water_pressure";
    String units "Decibars";
  }
  DEPH {
    Float32 _FillValue NaN;
    Float32 actual_range 450.0, 2400.0;
    String axis "Z";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "depth of measurements";
    Float32 missing_value NaN;
    String positive "down";
    String sdn_parameter_name "Depth (spatial coordinate) relative to water surface in the water body";
    String sdn_parameter_urn "SDN:P01::ADEPZZ01";
    String sdn_uom_name "meters";
    String sdn_uom_urn "SDN:P06::ULAA";
    String sensor_manufacturer "Sea-Bird Scientific";
    String sensor_manufacturer_uri "https://vocab.nerc.ac.uk/collection/L35/current/MAN0013/";
    String sensor_manufacturer_urn "SDN:L35::MAN0013";
    String sensor_model "Sea-Bird SBE 37 MicroCat IMP-CTP-ODO (submersible) CTD sensor";
    String sensor_mount "mounted_on_mooring_line";
    String sensor_orientation "horizontal";
    String sensor_reference "https://vocab.nerc.ac.uk/collection/L22/current/TOOL1538";
    String sensor_SeaVoX_L22_code "SDN:L22::TOOL1538";
    String sensor_serial_number "03716360";
    String standard_name "depth";
    String units "Metres";
  }
  TEMP {
    Float64 _FillValue NaN;
    Float64 actual_range 13.1477, 14.0251;
    String ancillary_variables "TEMP_QC";
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "temperature";
    Float64 missing_value NaN;
    String reference_scale "ITS-90";
    String sdn_parameter_name "Temperature of the water body";
    String sdn_parameter_urn "SDN:P01::TEMPPR01";
    String sdn_uom_name "degree_Celsius";
    String sdn_uom_urn "SDN:P06::UPAA";
    String sensor_manufacturer "Sea-Bird Scientific";
    String sensor_manufacturer_uri "https://vocab.nerc.ac.uk/collection/L35/current/MAN0013/";
    String sensor_manufacturer_urn "SDN:L35::MAN0013";
    String sensor_model "Sea-Bird SBE 37 MicroCat IMP-CTP-ODO (submersible) CTD sensor";
    String sensor_mount "mounted_on_mooring_line";
    String sensor_orientation "horizontal";
    String sensor_reference "https://vocab.nerc.ac.uk/collection/L22/current/TOOL1538";
    String sensor_SeaVoX_L22_code "SDN:L22::TOOL1538";
    String sensor_serial_number "03716360";
    String standard_name "sea_water_temperature";
    String units "degree_C";
  }
  TPOT {
    Float64 _FillValue NaN;
    Float64 actual_range 12.9059, 13.956;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "temperature potentielle";
    Float64 missing_value NaN;
    String sdn_parameter_name "Potential temperature of the water body by computation using UNESCO 1983 algorithm";
    String sdn_parameter_urn "SDN:P01::POTMCV01";
    String sdn_uom_name "degree_Celsius";
    String sdn_uom_urn "SDN:P06::UPAA";
    String sensor_manufacturer "Sea-Bird Scientific";
    String sensor_manufacturer_uri "https://vocab.nerc.ac.uk/collection/L35/current/MAN0013/";
    String sensor_manufacturer_urn "SDN:L35::MAN0013";
    String sensor_model "Sea-Bird SBE 37 MicroCat IMP-CTP-ODO (submersible) CTD sensor";
    String sensor_mount "mounted_on_mooring_line";
    String sensor_orientation "horizontal";
    String sensor_reference "https://vocab.nerc.ac.uk/collection/L22/current/TOOL1538";
    String sensor_SeaVoX_L22_code "SDN:L22::TOOL1538";
    String sensor_serial_number "03716360";
    String standard_name "sea_water_potential_temperature";
    String units "degree_C";
  }
  CNDC {
    Float64 _FillValue NaN;
    Float64 actual_range 4.436161, 4.613998;
    String ancillary_variables "CNDC_QC";
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum 30.0;
    String ioos_category "Salinity";
    String long_name "conductivity";
    Float64 missing_value NaN;
    String sdn_parameter_name "Electrical conductivity of the water body";
    String sdn_parameter_urn "SDN:P01::CNDCZZ01";
    String sdn_uom_name "Siemens per metre";
    String sdn_uom_urn "SDN:P06::UECA";
    String sensor_manufacturer "Sea-Bird Scientific";
    String sensor_manufacturer_uri "https://vocab.nerc.ac.uk/collection/L35/current/MAN0013/";
    String sensor_manufacturer_urn "SDN:L35::MAN0013";
    String sensor_model "Sea-Bird SBE 37 MicroCat IMP-CTP-ODO (submersible) CTD sensor";
    String sensor_mount "mounted_on_mooring_line";
    String sensor_orientation "horizontal";
    String sensor_reference "https://vocab.nerc.ac.uk/collection/L22/current/TOOL1538";
    String sensor_SeaVoX_L22_code "SDN:L22::TOOL1538";
    String sensor_serial_number "03716360";
    String standard_name "sea_water_electrical_conductivity";
    String units "Siemens per metre";
  }
  PSAL {
    Float64 _FillValue NaN;
    Float64 actual_range 37.5176, 38.7235;
    String ancllary_variables "PSAL_QC";
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String ioos_category "Salinity";
    String long_name "Practical salinity";
    Float64 missing_value NaN;
    String sdn_parameter_name "Practical salinity of the water body";
    String sdn_parameter_urn "SDN:P01::PSLTZZ01";
    String sdn_uom_name "Dimensionless";
    String sdn_uom_urn "SDN:P06::UUUU";
    String sensor_manufacturer "Sea-Bird Scientific";
    String sensor_manufacturer_uri "https://vocab.nerc.ac.uk/collection/L35/current/MAN0013/";
    String sensor_manufacturer_urn "SDN:L35::MAN0013";
    String sensor_model "Sea-Bird SBE 37 MicroCat IMP-CTP-ODO (submersible) CTD sensor";
    String sensor_mount "mounted_on_mooring_line";
    String sensor_orientation "horizontal";
    String sensor_reference "https://vocab.nerc.ac.uk/collection/L22/current/TOOL1538";
    String sensor_SeaVoX_L22_code "SDN:L22::TOOL1538";
    String sensor_serial_number "03716360";
    String standard_name "sea_water_practical_salinity";
    String station "EMSO_Ligure_Ouest_Albatross";
  }
  DOX1 {
    Float64 _FillValue NaN;
    Float64 actual_range 164.21, 430.99;
    String ancillary_variables "DOX_QC";
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Dissolved O2";
    String long_name "Dissolved oxygen";
    Float64 missing_value NaN;
    String sdn_parameter_name "Concentration of oxygen {O2 CAS 7782-44-7} per unit volume of the water body [dissolved plus reactive particulate phase]";
    String sdn_parameter_urn "SDN:P01::DOXYZZXX";
    String sdn_uom_name "Micromoles per litre";
    String sdn_uom_urn "SDN:P06::UPOX";
    String sensor_manufacturer "Sea-Bird Scientific";
    String sensor_manufacturer_uri "https://vocab.nerc.ac.uk/collection/L35/current/MAN0013/";
    String sensor_manufacturer_urn "SDN:L35::MAN0013";
    String sensor_model "Sea-Bird SBE 37 MicroCat IMP-CTP-ODO (submersible) CTD sensor";
    String sensor_mount "mounted_on_mooring_line";
    String sensor_orientation "horizontal";
    String sensor_reference "https://vocab.nerc.ac.uk/collection/L22/current/TOOL1538";
    String sensor_SeaVoX_L22_code "SDN:L22::TOOL1538";
    String sensor_serial_number "03716360";
    String standard_name "volume_fraction_of_oxygen_in_sea_water";
    String units "Micromoles per litre";
  }
  DOX2 {
    Float64 _FillValue NaN;
    Float64 actual_range 159.57, 418.84;
    String ancillary_variables "DOX_QC";
    String ioos_category "Dissolved O2";
    String long_name "Dissolved oxygen";
    Float64 missing_value NaN;
    String sdn_parameter_name "Concentration of oxygen {O2 CAS 7782-44-7} per unit mass of the water body [dissolved plus reactive particulate phase]";
    String sdn_parameter_urn "SDN:P01::DOXMZZXX";
    String sdn_uom_name "Micromoles per kilogram";
    String sdn_uom_urn "SDN:P06::KGUM";
    String sensor_manufacturer "Sea-Bird Scientific";
    String sensor_manufacturer_uri "https://vocab.nerc.ac.uk/collection/L35/current/MAN0013/";
    String sensor_manufacturer_urn "SDN:L35::MAN0013";
    String sensor_model "Sea-Bird SBE 37 MicroCat IMP-CTP-ODO (submersible) CTD sensor";
    String sensor_mount "mounted_on_mooring_line";
    String sensor_orientation "horizontal";
    String sensor_reference "https://vocab.nerc.ac.uk/collection/L22/current/TOOL1538";
    String sensor_SeaVoX_L22_code "SDN:L22::TOOL1538";
    String sensor_serial_number "03716360";
    String standard_name "moles_of_oxygen_per_unit_mass_in_sea_water";
    String units "Micromoles per kilogram";
  }
  OSAT {
    Float64 _FillValue NaN;
    Float64 actual_range 246.16245, 251.41494;
    String ancillary_variables "OSAT_QC";
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Dissolved O2";
    String long_name "Oxygen saturation";
    Float64 missing_value NaN;
    String sdn_parameter_name "Saturation of oxygen {O2 CAS 7782-44-7} in the water body [dissolved plus reactive particulate phase] by in-situ Beckmann probe and computation from concentration using Benson and Krause algorithm";
    String sdn_parameter_urn "SDN:P01::OXYSBB01";
    String sdn_uom_name "Micromoles per kilogram";
    String sdn_uom_urn "SDN:P06::KGUM";
    String sensor_manufacturer "Sea-Bird Scientific";
    String sensor_manufacturer_uri "https://vocab.nerc.ac.uk/collection/L35/current/MAN0013/";
    String sensor_manufacturer_urn "SDN:L35::MAN0013";
    String sensor_model "Sea-Bird SBE 37 MicroCat IMP-CTP-ODO (submersible) CTD sensor";
    String sensor_mount "mounted_on_mooring_line";
    String sensor_orientation "horizontal";
    String sensor_reference "https://vocab.nerc.ac.uk/collection/L22/current/TOOL1538";
    String sensor_SeaVoX_L22_code "SDN:L22::TOOL1538";
    String sensor_serial_number "03716360";
    String standard_name "fractional_saturation_of_oxygen_in_sea_water";
    String units "Micromoles per kilogram";
  }
  DENS {
    Float64 _FillValue NaN;
    Float64 actual_range 28.2895, 29.1439;
    String ancillary_variables "DENS_QC";
    String comment "Sea density (sigma-theta)";
    String ioos_category "Physical Oceanography";
    String long_name "potential density";
    Float64 missing_value NaN;
    String sdn_parameter_name "Sigma-theta of the water body by computation from salinity and potential temperature using UNESCO algorithm";
    String sdn_parameter_urn "SDN:P01::SIGTEQ01";
    String sdn_uom_name "Kilograms per cubic metre";
    String sdn_uom_urn "SDN:P06::UKMC";
    String sensor_manufacturer "Sea-Bird Scientific";
    String sensor_manufacturer_uri "https://vocab.nerc.ac.uk/collection/L35/current/MAN0013/";
    String sensor_manufacturer_urn "SDN:L35::MAN0013";
    String sensor_model "Sea-Bird SBE 37 MicroCat IMP-CTP-ODO (submersible) CTD sensor";
    String sensor_mount "mounted_on_mooring_line";
    String sensor_orientation "horizontal";
    String sensor_reference "https://vocab.nerc.ac.uk/collection/L22/current/TOOL1538";
    String sensor_SeaVoX_L22_code "SDN:L22::TOOL1538";
    String sensor_serial_number "03716360";
    String standard_name "sea_water_sigma_theta";
    String units "Kilograms per cubic metre";
  }
  stationname {
    String cf_role "timeseries_id";
    String ioos_category "Identifier";
    String long_name "station name";
    String standard_name "platform_name";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 _FillValue NaN;
    Float32 actual_range 42.79, 42.79;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Latitude of measurements";
    Float32 missing_value NaN;
    String sdn_parameter_name "Latitude north";
    String sdn_parameter_urn "SDN:P01::ALATZZ01";
    String sdn_uom_name "Degrees north";
    String sdn_uom_urn "SDN:P06::DEGN";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 _FillValue NaN;
    Float32 actual_range 6.043, 6.043;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Longitude of measurements";
    Float32 missing_value NaN;
    String sdn_parameter_name "Longitude east";
    String sdn_parameter_urn "SDN:P01::ALONZZ01";
    String sdn_uom_name "Degrees east";
    String sdn_uom_urn "SDN:P06::DEGE";
    String standard_name "longitude";
    String units "degrees_east";
  }
  CNDC_QC {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 2, 2;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String conventions "OceanSITES QC Flags";
    String flag_meanings "unknown good_data probably_good_data potentially_correctable_bad_data bad_data nominal_value interpolated_value missing_value";
    Byte flag_values 0, 1, 2, 3, 4, 7, 8, 9;
    String ioos_category "Quality";
    String long_name "Conductivity quality flag";
  }
  TEMP_QC {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 2, 2;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String conventions "OceanSITES QC Flags";
    String flag_meanings "unknown good_data probably_good_data potentially_correctable_bad_data bad_data nominal_value interpolated_value missing_value";
    Byte flag_values 0, 1, 2, 3, 4, 7, 8, 9;
    String ioos_category "Quality";
    String long_name "Temperature quality flag";
  }
  TIME_QC {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 2, 2;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String conventions "OceanSITES QC Flags";
    String flag_meanings "unknown good_data probably_good_data potentially_correctable_bad_data bad_data nominal_value interpolated_value missing_value";
    Byte flag_values 0, 1, 2, 3, 4, 7, 8, 9;
    String ioos_category "Quality";
    String long_name "Time quality flag";
  }
  PRES_QC {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 2, 2;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String conventions "OceanSITES QC Flags";
    String flag_meanings "unknown good_data probably_good_data potentially_correctable_bad_data bad_data nominal_value interpolated_value missing_value";
    Byte flag_values 0, 1, 2, 3, 4, 7, 8, 9;
    String ioos_category "Quality";
    String long_name "Pressure quality flag";
  }
  PSAL_QC {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 2, 2;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String conventions "OceanSITES QC Flags";
    String flag_meanings "unknown good_data probably_good_data potentially_correctable_bad_data bad_data nominal_value interpolated_value missing_value";
    Byte flag_values 0, 1, 2, 3, 4, 7, 8, 9;
    String ioos_category "Quality";
    String long_name "Salinity quality flag";
  }
  OSAT_QC {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 2, 2;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String conventions "OceanSITES QC Flags";
    String flag_meanings "unknown good_data probably_good_data potentially_correctable_bad_data bad_data nominal_value interpolated_value missing_value";
    Byte flag_values 0, 1, 2, 3, 4, 7, 8, 9;
    String ioos_category "Quality";
    String long_name "Saturation oxygene quality flag";
  }
  DOX_QC {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 2, 2;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String conventions "OceanSITES QC Flags";
    String flag_meanings "unknown good_data probably_good_data potentially_correctable_bad_data bad_data nominal_value interpolated_value missing_value";
    Byte flag_values 0, 1, 2, 3, 4, 7, 8, 9;
    String ioos_category "Quality";
    String long_name "Oxygen quality flag";
  }
  DENS_QC {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 2, 2;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String conventions "OceanSITES QC Flags";
    String flag_meanings "unknown good_data probably_good_data potentially_correctable_bad_data bad_data nominal_value interpolated_value missing_value";
    Byte flag_values 0, 1, 2, 3, 4, 7, 8, 9;
    String ioos_category "Physical Oceanography";
    String long_name "Sigma theta quality flag";
    String standard_name "sea_water_sigma_theta";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "stationname,latitude,longitude";
    String citation "Lefevre Dominique, Libes Maurice, Mallarino Didier, Bernardet Karim, Gojak Carl (2018). EMSO-Ligure Ouest observatory data (mooring ALBATROSS) from 2018-05 to 2019-05. SEANOE. https://doi.org/95265";
    String contributor_name "didier.mallarino@osupytheas.fr";
    String contributor_role "raw data conversion, and data formating in NetCDF";
    String Conventions "OceanSITES v1.4,SeaDataNet_1.0,COARDS, CF-1.6, ACDD-1.3";
    String creator_name "SeaDataNet";
    String creator_url "https://www.seadatanet.org/";
    String data_mode "R";
    String data_type "OceanSITES time-series data";
    String date_created "2021-07-18";
    String datetime "2018-05-18T11:35:33";
    String description "http://www.emso-fr.org/EMSO-Western-Ligurian-Sea/Infrastructure-description";
    String doi "https://doi.org/10.17882/95265";
    Float64 Easternmost_Easting 6.043;
    String emso_facility "Western Ligurian Sea";
    String featureType "TimeSeries";
    String featuretype "TimeSeries";
    String filename "microcat_sbe37imp-odo_03716360_2400m.cnv";
    String format_version "1.5";
    Float64 geospatial_lat_max 42.79;
    Float64 geospatial_lat_min 42.79;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 6.043;
    Float64 geospatial_lon_min 6.043;
    String geospatial_lon_units "degrees_east";
    String history 
"Created by cnv2nc (PyCNV)
2024-10-30T05:43:00Z (local files)
2024-10-30T05:43:00Z http://erddap.osupytheas.fr/tabledap/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2018.das";
    String infoUrl "http://www.emso-fr.org/EMSO-France";
    String infourl "http://www.emso-fr.org/EMSO-France";
    String insitution_ror_uri "https://ror.org/05258q350";
    String institution "MIO UMR 7294 CNRS / OSU Pytheas";
    String institution_edmo_code "3078";
    String institution_edmo_uri "https://edmo.seadatanet.org/report/3078";
    String keywords "2018-2019, albatross, biogeochemistry, chemistry, climate change, CNDC, CNDC_QC, cnrs, conductivity, ctd, data, DENS, DENS_QC, density, DEPH, depth, direction, dissolved, dissolved o2, DOX1, DOX2, DOX_QC, earth, Earth Science > Oceans > Ocean Chemistry > Oxygen, Earth Science > Oceans > Ocean Pressure > Water Pressure, Earth Science > Oceans > Ocean Temperature > Potential Temperature, Earth Science > Oceans > Ocean Temperature > Water Temperature, Earth Science > Oceans > Salinity/Density > Conductivity, Earth Science > Oceans > Salinity/Density > Density, Earth Science > Oceans > Salinity/Density > Salinity, electrical, emso, emso-eric, environmental data, flag, fraction, fractional, fractional_saturation_of_oxygen_in_sea_water, france, geosciences, heading, identifier, km3net, latitude, ligurian, longitude, mass, measurements, mediterranean sea, microcat, mio, moles, moles_of_oxygen_per_unit_mass_in_sea_water, mooring, name, O2, observatory, ocean, oceanography, oceans, oregon, OSAT, OSAT_QC, osu, osu pytheas, oxygen, oxygene, per, physical, physical oceanography, pitch, platform, platform_name, potential, potentielle, practical, PRES, PRES_QC, pressure, PSAL, PSAL_QC, pytheas, quality, real, real time, real-time, realtime, salinity, saturation, science, sea, sea current, sea regions, sea_water_electrical_conductivity, sea_water_potential_temperature, sea_water_practical_salinity, sea_water_pressure, sea_water_sigma_theta, sea_water_temperature, seawater, sensor, sigma, sonde, sound speed, speed, state, station, stationname, TEMP, TEMP_QC, temperature, theta, time, TIME_QC, TPOT, umr, unit, university, volume, volume_fraction_of_oxygen_in_sea_water, water, western, western basin oceanographic";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "CC-BY-4.0";
    String license_uri "https://spdx.org/licenses/CC-BY-4.0.html";
    String lineage "The infrastructure is dedicated to long term in situ observation. Based on instrumentation of the water column, this infrastructure aims at obtaining continuous in situ and near real-time measurements. This infrastructure MII (Interface Instrumented Module) is a cabled infrastructure and ALBATROSS (Autonomous Line with a Broad Acoustic Transmission for Research in Oceanography and Sea Sciences) is a standalone deep sea mooring dedicated to the long term monitoring of hydrological and biogeochemical properties. The data are transmitted in real time to the shore using the inductive cable along the mooring line and an acoustic link with the MII. This infrastructure has been developed by the DT INSU, to take into account surface ocean circulation (i.e. North Mediterranean Current, water mass dynamics including deep water formation, surface-to-bottom material fluxes and associated biogeochemical processes. Real Time data taking is operational since May 2019 for MII and August 2019 for ALBATROSS.  MII EQUIPMENTS : 1 Microcat SBE 37, 1 Aquadopp Nortek 2 MHz, 1 transmissiometer, Wetlab, 1 pressure sensor Aanderaa(HS), 1 oxygen optode Aanderaa (HS), 1 acoustic modem (Evologic). MII MEASURED PARAMETERS : (2436 m) : temperature/salinity/oxygen - current ALBATROSS EQUIPMENTS  6 Microcat SBE 37 ODO, 2  Microcat SBE 37, 6 Aquadopp 2Mhz Nortek, 1 acoustic modem Evologic, 2 inductive modem Seabird, 1 data acquisition unit. Target depths in meters 500, 1000, 1500, 2000,2200, 2400.";
    String md5 "cdc1b3ed73714b8d295ad1a72258674f";
    String metadata_contact "maurice.libes@osupytheas.fr, didier.mallarino@osupytheas.fr";
    String network "EMSO-ERIC";
    Float64 Northernmost_Northing 42.79;
    String nvalues "17423";
    String platform_code "ALBATROSS";
    String principal_investigator "Dominique Lefevre";
    String principal_investigator_email "Dominique.Lefevre@mio.osupytheas.fr";
    String project "EMSO west Ligurian Sea, Antares http://www.emso-fr.org/EMSO-France";
    String rfa "If you use these data in publications or presentation, please acknowledge the EMSO Project Office of MIO OSU Pytheas.  Also, we would appreciate receiving a preprint and/or reprint of publications using the data for inclusion in our bibliography. Relevant publications should be sent to: Dominique Lefevre EMSO Project  MIO UMR 7294 CNRS, Campus de Luminy 13288 Marseille cedex9";
    String sbe_model "37IMP-ODO";
    String site_code "Western Ligurian Sea";
    String source "fixed benthic node, https://www.emso-fr.org/EMSO-Western-Ligurian-Sea/Infrastructure-description";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 42.79;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "DEPH, stationname, latitude, longitude, CNDC_QC, TEMP_QC, TIME_QC, PRES_QC, PSAL_QC, OSAT_QC, DOX_QC, DENS_QC";
    String summary "The European Multidisciplinary Seafloor and water column Observatory (EMSO) is a research infrastructure distributed throughout Europe for seabed and water column observatories. It aims to further explore the oceans, better understand the phenomena that occur on the seabed, and elucidate the critical role that these phenomena play in global Earth systems. This observatory is based on observation sites (or nodes) that have been deployed in strategic locations in European seas, from the Arctic to the Atlantic, from the Mediterranean to the Black Sea. There are currently eleven deep water nodes plus four shallow water test nodes. EMSO Western Ligurian is one of these permanent underwater observatories located in the Ligurian Sea and is deployed off Toulon, France. This region was chosen for its particular scientific interests such as: seismicity, topography, turbidity, biodiversity, water mass dynamics and organic matter flow. This underwater observation network is also part of KM3NeT (https://www.km3net.org/) which has a modular topology designed to connect up to 120 neutrino detection units. Earth and Sea Science (ESS) instrumentation connected to KM3NeT is based on two complementary components: an instrumented interface module (MII) and an autonomous instrumented line (ALBATROSS). The ALBATROSS line is an inductive line (2000 m) composed of an acoustic communication system, two inductive cables equipped with Conductivity, Temperature, Depth (CTD)-O2 sensors, current meters and two instrumented buoys. This line is deployed at a distance of 2-3 kilometers from the MII, and communication on land is done by an acoustic link with the MII, and electro-optical cable via the KM3NeT node";
    String time_coverage_end "2019-10-01T18:11:06Z";
    String time_coverage_start "2018-05-01T21:31:39Z";
    String title "EMSO Western Ligurian : Albatross mooring, MICROCAT sensor (NetCDF 2018-2019)";
    String update_interval "daily 24 hours";
    Float64 Westernmost_Easting 6.043;
  }
}

 

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection 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.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.


 
ERDDAP, Version 2.23
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