Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.736786487e+9, 1.742853673e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Date Time(UTC)";
    String source_name "DateTime(UTC)";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 44.081855, 44.081855;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 9.881658, 9.881658;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  CO2 {
    Float32 _FillValue -9999.0;
    Float32 actual_range 307.84, 434.79;
    String long_name "CO2";
    String units "ppm";
  }
  Internal_Temperature_IRGA {
    Float32 _FillValue -9999.0;
    Float32 actual_range 30.0, 30.3;
    String long_name "Internal Temperature IRGA";
    String units "degrees_C";
  }
  Relative_Humidity {
    Float32 _FillValue -9999.0;
    Float32 actual_range 12.3, 16.29;
    String long_name "Relative Humidity";
  }
  Internal_Temperature_Sensore_Humidity {
    Float32 _FillValue -9999.0;
    Float32 actual_range 12.7, 17.7;
    String long_name "Internal Temperature Sensore Humidity";
    String units "degrees_C";
  }
  Cell_Pressure {
    Int16 _FillValue -9999;
    Int16 actual_range 1000, 1039;
    String long_name "Cell Pressure";
    String units "h Pa";
  }
  Battery_Voltage {
    Float32 _FillValue -9999.0;
    Float32 actual_range 10.0, 13.8;
    String long_name "Battery Voltage";
    String units "V";
  }
  pCO2_mbar {
    Float32 _FillValue -9999.0;
    Float32 actual_range 0.32, 0.449;
    String long_name "pCO2";
    String units "mbar";
  }
  pCO2_Pa {
    Float32 _FillValue -9999.0;
    Float32 actual_range 31.985, 44.87;
    String long_name "pCO2";
    String units "Pa";
  }
  pCO2_uatm {
    Float32 _FillValue -9999.0;
    Float32 actual_range 315.663, 442.836;
    String long_name "pCO2";
    String units "uatm";
  }
  Station {
    String long_name "Station";
  }
  Name {
    String long_name "Name";
  }
  Profondita {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 1;
    String long_name "Profondita";
  }
  Bottom_depth {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 8, 8;
    String long_name "Bottom Depth";
  }
  Probe_S_N {
    String long_name "Probe S/N";
  }
 }
  NC_GLOBAL {
    String acquisition_frequence "1h";
    String acquisition_methodology "Autonomous acquisition";
    String acquisition_mode "near real time";
    String cdm_data_type "Point";
    String contributors_email "andrea.bordone@enea.it; giancarlo.raiteri@enea.it; ciuffardi.tiziana@enea.it; luca.appolloni@enea.it; silvia.becagli@unifi.it; e.gabrielli1@campus.unimib.it; sofia.lorenzini00@gmail.com; chiara.lombardi@enea.it";
    String contributors_name "Bordone, Andrea; Raiteri, Giancarlo; Ciuffardi, Tiziana; Appolloni, Luca; Becagli, Silvia; Gabrielli, Erica; Lorenzini, Sofia; Lombardi, Chiara";
    String contributors_orcid "0000-0002-2247-6953; 0000-0001-9619-7327; 0000-0003-2512-7991; 0000-0001-5645-3082; 0000-0003-3633-4849; 0009-0009-7874-9533; 0009-0001-0957-2377;0000-0002-2330-5742";
    String contributors_role "Data curation, Methodology, Investigation, Data acquisition; Methodology, Investigation, Data acquisition; Methodology, Investigation, Data acquisition; Methodology, Investigation, Data acquisition; Methodology, Investigation, Data acquisition; Data acquisition; Data acquisition; Coordination, Methodology, Investigation, Data acquisition";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "andrea.bordone@enea.it";
    String creator_name "Andrea Bordone";
    String creator_orcid "https://orcid.org/0000-0002-2247-6953";
    String creator_type "person";
    String creator_url "https://ambiente.sostenibilita.enea.it/people/andrea-bordone";
    String data_doi "10.5281/zenodo.18170080";
    String data_format_original "txt";
    String data_version "1";
    String documentation "https://s4raise.it/dssmare/warning_necton/, https://raise-spoke3.s4raise.it/project01";
    Float64 Easternmost_Easting 9.881658;
    String featureType "Point";
    Float64 geospatial_lat_max 44.081855;
    Float64 geospatial_lat_min 44.081855;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 9.881658;
    Float64 geospatial_lon_min 9.881658;
    String geospatial_lon_units "degrees_east";
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history "2026-04-03T06:09:21Z (local files)
2026-04-03T06:09:21Z https://erddap.s4raise.it/erddap/tabledap/smartbay_co2_enea.das";
    String infoUrl "https://www.raiseliguria.it/spoke-3/";
    String inspire "Oceanographic geographical features";
    String institution "ENEA";
    String institution_country "IT";
    String institution_edmo_code "136";
    String keywords "Carbon Dioxide Partial Pressure (6bf8c40d-6bc0-410b-92a5-349bd88dc021)";
    String keywords_vocabulary "GCMD Science Keywords";
    String language "XML";
    String license "CC-BY 4.0";
    String maintainer "ETT S.p.A.";
    String naming_authority "RAISE, EMBRC-UP";
    Float64 Northernmost_Northing 44.081855;
    String owner "ENEA";
    String owner_url "https://ambiente.sostenibilita.enea.it/";
    String platform_type_sdn_name "mooring";
    String platform_type_sdn_uri "https://vocab.nerc.ac.uk/collection/L06/current/48/";
    String platform_type_sdn_urn "SDN:L06::48";
    String project_code "RAISE, EMBRC-UP";
    String project_id "ECS00000035,";
    String project_name "Robotics and AI for Socio-economic Empowerment, EMBRC Unlocking the Potential for health and Food from the seas";
    String project_statement "RAISE: Robotics and AI for Socio-economic Empowerment is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).  EMBRC-UP: EMBRC Unlocking the Potential for health and Food from the seas funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 3.1).";
    String project_url "https://www.raiseliguria.it/";
    String publisher "ETT S.p.A.";
    String sensor_manufacturer_sdn_name "Pro Oceanus";
    String sensor_manufacturer_sdn_uri "https://vocab.nerc.ac.uk/collection/L35/current/MAN0033/";
    String sensor_manufacturer_sdn_urn "SDN:L35::MAN0033";
    String sensor_sdn_name "Pro-Oceanus CO2-Pro CV submersible pCO2 senso";
    String sensor_sdn_uri "https://vocab.nerc.ac.uk/collection/L22/current/TOOL1732/";
    String sensor_sdn_urn "SDN:L22::TOOL1732";
    String sensors "n. 1 ProOceanus CO2-Pro CV sensor measuring the partial pressure of CO2 gas dissolved in water using infrared detection";
    String source "Instruments: n. 1 ProOceanus CO2-Pro CV sensor measuring the partial pressure of CO2 gas dissolved in water using infrared detection; n. 4 YSI EXO 2 model multiparametric probes that will provide real-time data on water quality with measurements on sea water temperatures, conductivity, pH, dissolved oxygen, turbidity and Chlorophyll; n. 5 Z-Pulse Doppler current meters , single-point current sensors, based on the backscatter acoustic Doppler principle, for measuring current speed and direction in the sea.";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 44.081855;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "Station, Name, latitude, longitude, Profondita, Bottom_depth, Probe_S_N";
    String summary "In July 2024 a preliminary real-time monitoring and transmission system based on wireless underwater networking (IoUT) has been implemented in the harbour of La Spezia, aiming to create an early warning system for temperature increase and to monitor oxygen and pH level. Currently the Smart Bay Santa Teresa Underwater Observatory is equipped with a system of transmission nodes (EMBRC-UP) connected to advanced probes (RAISE), distributed in 12 stations throughout the Gulf. Physical-chemical data (temperature, dissolved oxygen, pH, conductivity, current, turbidity, chlorophyll) are acquired with a frequency of 1 data per hour and transmitted in real time, validated with analytical approaches and weekly and monthly measurement campaigns conducted by ENEA. Biogeochemical are analytically measured (total alkalinity, pH) and derived (pCO2, saturation state, dissolved inorganic carbon) weekly and monthly, together with high precision data profiles (measured by means of a CTD probe).";
    String theme_eu_data "http://publications.europa.eu/resource/authority/data-theme/ENVI";
    String theme_eurovoc "http://publications.europa.eu/resource/authority/eurovoc/100224";
    String time_coverage_end "2025-03-24T22:01:13Z";
    String time_coverage_start "2025-01-13T16:41:27Z";
    String title "The \"Smart Bay Santa Teresa Underwater Observatory\"- Carbon dioxide data";
    String visibility "public";
    Float64 Westernmost_Easting 9.881658;
  }
}