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https://data-nautilos-h2020.eu/erddap/tabledap/ir_temperature_sensor_niva_hcmr https://data-nautilos-h2020.eu/erddap/tabledap/ir_temperature_sensor_niva_hcmr.graph https://data-nautilos-h2020.eu/erddap/files/ir_temperature_sensor_niva_hcmr/ NAUTILOS - IR temperature sensor - NIVA / HCMR A dataset containing Sea Surface Temperature (SST) measurements collected in the Aegean and Ionian Seas using an infrared (IR) sensor mounted on the research vessel Philia.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Date/Time (LT), seconds since 1970-01-01T00:00:00Z)\nIR_Temp (degree_Celsius)\ntime_GPS (Synced To GPS Date/Time (LT), seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\ntime_GPS_end (Time GPS (LT Done))\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/ir_temperature_sensor_niva_hcmr_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/ir_temperature_sensor_niva_hcmr_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/ir_temperature_sensor_niva_hcmr/index.htmlTable https//nautilos-h2020.eu/ https://data-nautilos-h2020.eu/erddap/rss/ir_temperature_sensor_niva_hcmr.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=ir_temperature_sensor_niva_hcmr&showErrors=false&email= HCMR,NIVA ir_temperature_sensor_niva_hcmr
https://data-nautilos-h2020.eu/erddap/tabledap/lif_lidar_niva https://data-nautilos-h2020.eu/erddap/tabledap/lif_lidar_niva.graph https://data-nautilos-h2020.eu/erddap/files/lif_lidar_niva/ NAUTILOS - Laser induced fluorescence light detecting and ranging (LIF-LIDAR) sensor - NIVA NAUTILOS - Laser induced fluorescence light detecting and ranging (LIF-LIDAR) sensor - NIVA\n\ncdm_data_type = Other\nVARIABLES:\ntime (Turner UTC, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nHeading\nCourse\nSpeedKnots (Speed Knots, nautical_mile/hour)\nSpeedMs (Speed Ms, m/s)\nChlorophyllA_Counts (Chlorophyll A Counts)\nTurbidity_Counts\nCDOM_Counts\nChl_a_mg_m3 (mg/m3)\nTurbidity_FNU\nfDOM_mgQS_l (f DOM mgQS/l)\na_WaterDepth_m (Water Depth M, meter)\nvaleportTemp (valeport Temp, degree_Celsius)\na_valeportConductivity (Sea Water Electrical Conductivity, S/m)\nvaleportPractSalinity (Sea Water Practical Salinity, PSU)\nvaleportAbsSalinity (Sea Water Practical Salinity, PSU)\ndaytime\nDate (seconds since 1970-01-01T00:00:00Z)\nVm_raman (volt)\nVm_chla (volt)\nVm_cdom (volt)\nVm_raman_b (volt)\nVm_chla_b (Concentration Of Chlorophyll In Sea Water, volt)\nVm_cdom_b (volt)\nRaman (volt)\nChla (volt)\nCdom (volt)\nlidar_chla_cal (µg/l)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/lif_lidar_niva_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/lif_lidar_niva_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/lif_lidar_niva/index.htmlTable https://data-nautilos-h2020.eu/erddap/index.html https://data-nautilos-h2020.eu/erddap/rss/lif_lidar_niva.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=lif_lidar_niva&showErrors=false&email= NIVA lif_lidar_niva
https://data-nautilos-h2020.eu/erddap/tabledap/particles_tracking_exp_output_postNaut_bTrue_f0_niva https://data-nautilos-h2020.eu/erddap/tabledap/particles_tracking_exp_output_postNaut_bTrue_f0_niva.graph https://data-nautilos-h2020.eu/erddap/files/particles_tracking_exp_output_postNaut_bTrue_f0_niva/ NAUTILOS - Particle tracking postNautilos experiment with biofouling and floating on- NIVA Experiment using the postNautilos physics files to run the drift, with the biofouling module turned on and the plastic set to be neutrally buoyant following the vertical velocities.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntrajectory (1)\ntime (seconds since 1970-01-01T00:00:00Z)\nstatus\nmoving\nage_seconds (s)\norigin_marker\nlongitude (degrees_east)\nlatitude (degrees_north)\ndepth (vertical position, m)\nwind_drift_factor (1)\ncurrent_drift_factor (1)\nterminal_velocity (m/s)\nunfouled_diameter (m)\nunfouled_density (kg/m^3)\nbiofilm_no_attached_algae\ntotal_density (kg/m^3)\ntotal_diameter (m)\nx_sea_water_velocity\ny_sea_water_velocity\nsea_surface_wave_significant_height\nsea_ice_area_fraction\nx_wind\ny_wind\nland_binary_mask\nsea_floor_depth_below_sea_level\nocean_vertical_diffusivity\n... (11 more variables)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/particles_tracking_exp_output_postNaut_bTrue_f0_niva_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/particles_tracking_exp_output_postNaut_bTrue_f0_niva_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/particles_tracking_exp_output_postNaut_bTrue_f0_niva/index.htmlTable https://data-nautilos-h2020.eu/erddap/index.html https://data-nautilos-h2020.eu/erddap/rss/particles_tracking_exp_output_postNaut_bTrue_f0_niva.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=particles_tracking_exp_output_postNaut_bTrue_f0_niva&showErrors=false&email= NIVA particles_tracking_exp_output_postNaut_bTrue_f0_niva
https://data-nautilos-h2020.eu/erddap/tabledap/particles_tracking_exp_output_preNaut_bTrue_f0_niva https://data-nautilos-h2020.eu/erddap/tabledap/particles_tracking_exp_output_preNaut_bTrue_f0_niva.graph https://data-nautilos-h2020.eu/erddap/files/particles_tracking_exp_output_preNaut_bTrue_f0_niva/ NAUTILOS - Particle tracking preNautilos experiment with biofouling and floating on- NIVA Experiment using the preNautilos physics files to run the drift, with the biofouling module turned on and the plastic set to be neutrally buoyant following the vertical velocities.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntrajectory (1)\ntime (seconds since 1970-01-01T00:00:00Z)\nstatus\nmoving\nage_seconds (s)\norigin_marker\nlongitude (degrees_east)\nlatitude (degrees_north)\ndepth (vertical position, m)\nwind_drift_factor (1)\ncurrent_drift_factor (1)\nterminal_velocity (m/s)\nunfouled_diameter (m)\nunfouled_density (kg/m^3)\nbiofilm_no_attached_algae\ntotal_density (kg/m^3)\ntotal_diameter (m)\nx_sea_water_velocity\ny_sea_water_velocity\nsea_surface_wave_significant_height\nsea_ice_area_fraction\nx_wind\ny_wind\nland_binary_mask\nsea_floor_depth_below_sea_level\nocean_vertical_diffusivity\n... (11 more variables)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/particles_tracking_exp_output_preNaut_bTrue_f0_niva_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/particles_tracking_exp_output_preNaut_bTrue_f0_niva_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/particles_tracking_exp_output_preNaut_bTrue_f0_niva/index.htmlTable https://data-nautilos-h2020.eu/erddap/index.html https://data-nautilos-h2020.eu/erddap/rss/particles_tracking_exp_output_preNaut_bTrue_f0_niva.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=particles_tracking_exp_output_preNaut_bTrue_f0_niva&showErrors=false&email= NIVA particles_tracking_exp_output_preNaut_bTrue_f0_niva
https://data-nautilos-h2020.eu/erddap/tabledap/particles_tracking_exp_output_roho160_bTrue_f0_niva https://data-nautilos-h2020.eu/erddap/tabledap/particles_tracking_exp_output_roho160_bTrue_f0_niva.graph https://data-nautilos-h2020.eu/erddap/files/particles_tracking_exp_output_roho160_bTrue_f0_niva/ NAUTILOS - Particle tracking roho160 experiment with biofouling and floating on- NIVA Experiment using the roho160 physics files to run the drift, with the biofouling module turned on and the plastic set to be neutrally buoyant following the vertical velocities.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntrajectory (1)\ntime (seconds since 1970-01-01T00:00:00Z)\nstatus\nmoving\nage_seconds (s)\norigin_marker\nlongitude (degrees_east)\nlatitude (degrees_north)\ndepth (vertical position, m)\nwind_drift_factor (1)\ncurrent_drift_factor (1)\nterminal_velocity (m/s)\nunfouled_diameter (m)\nunfouled_density (kg/m^3)\nbiofilm_no_attached_algae\ntotal_density (kg/m^3)\ntotal_diameter (m)\nx_sea_water_velocity\ny_sea_water_velocity\nsea_surface_wave_significant_height\nsea_ice_area_fraction\nx_wind\ny_wind\nland_binary_mask\nsea_floor_depth_below_sea_level\nocean_vertical_diffusivity\n... (11 more variables)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/particles_tracking_exp_output_roho160_bTrue_f0_niva_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/particles_tracking_exp_output_roho160_bTrue_f0_niva_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/particles_tracking_exp_output_roho160_bTrue_f0_niva/index.htmlTable https://data-nautilos-h2020.eu/erddap/index.html https://data-nautilos-h2020.eu/erddap/rss/particles_tracking_exp_output_roho160_bTrue_f0_niva.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=particles_tracking_exp_output_roho160_bTrue_f0_niva&showErrors=false&email= NIVA particles_tracking_exp_output_roho160_bTrue_f0_niva
https://data-nautilos-h2020.eu/erddap/tabledap/seabird_ctd_nke https://data-nautilos-h2020.eu/erddap/tabledap/seabird_ctd_nke.graph https://data-nautilos-h2020.eu/erddap/files/seabird_ctd_nke/ NAUTILOS - Seabird CDT associated to Silicate Electrochemical Sensor - NKE The silicate data was measured, transmitted via the float by Iridium, and then decrypted by NKE. The data is represented in the form of a voltamogram that displays the current density as a function of the electrical potential applied to the electrode. The peak recognition stage is not yet complete. This will need to be implemented in the sensor in order to provide the silicate concentration directly.\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\ndepth (m)\ntemperature (degree_Celsius)\nsalinity (PSU)\nprofile_step\n https://data-nautilos-h2020.eu/erddap/info/seabird_ctd_nke/index.htmlTable https://nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/seabird_ctd_nke.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=seabird_ctd_nke&showErrors=false&email= NKE seabird_ctd_nke
https://data-nautilos-h2020.eu/erddap/tabledap/silicate_sensor_nke https://data-nautilos-h2020.eu/erddap/tabledap/silicate_sensor_nke.graph https://data-nautilos-h2020.eu/erddap/files/silicate_sensor_nke/ NAUTILOS - Silicate Electrochemical Sensor - NKE The silicate data was measured, transmitted via the float by Iridium, and then decrypted by NKE. The data is represented in the form of a voltamogram that displays the current density as a function of the electrical potential applied to the electrode. The peak recognition stage is not yet complete. This will need to be implemented in the sensor in order to provide the silicate concentration directly.\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nE (Potential, volt)\ndI (Current density, microampere)\n https://data-nautilos-h2020.eu/erddap/info/silicate_sensor_nke/index.htmlTable https://nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/silicate_sensor_nke.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=silicate_sensor_nke&showErrors=false&email= NKE silicate_sensor_nke
https://data-nautilos-h2020.eu/erddap/griddap/hydroSOMA_model_daily_1km_1_ualg https://data-nautilos-h2020.eu/erddap/griddap/hydroSOMA_model_daily_1km_1_ualg.graph https://data-nautilos-h2020.eu/erddap/wms/hydroSOMA_model_daily_1km_1_ualg/request NAUTILOS - SOMA daily averaged 3D fields forecast (DAILY 3D 1km best) [time][depth][latitude][longitude], 2022-present - UAlg SOMA daily averaged 3D fields forecast (DAILY 3D 1km best)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nuo (Eastward velocity, m s-1)\nvo (Northward velocity, m s-1)\nwo (Vertical velocity, m s-1)\nthetao (Temperature, degree_C)\nso (Salinity, PSU)\nrho (Density, kg m3-1)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/hydroSOMA_model_daily_1km_1_ualg_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/hydroSOMA_model_daily_1km_1_ualg_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/hydroSOMA_model_daily_1km_1_ualg/index.htmlTable https://soma.ualg.pt (external link) https://data-nautilos-h2020.eu/erddap/rss/hydroSOMA_model_daily_1km_1_ualg.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=hydroSOMA_model_daily_1km_1_ualg&showErrors=false&email= UAlg hydroSOMA_model_daily_1km_1_ualg
https://data-nautilos-h2020.eu/erddap/griddap/hydroSOMA_model_daily_2km_1_ualg https://data-nautilos-h2020.eu/erddap/griddap/hydroSOMA_model_daily_2km_1_ualg.graph https://data-nautilos-h2020.eu/erddap/wms/hydroSOMA_model_daily_2km_1_ualg/request NAUTILOS - SOMA daily averaged 3D fields forecast (DAILY 3D 2km best) [time][depth][latitude][longitude], 2022-present - UAlg SOMA daily averaged 3D fields forecast (DAILY 3D 2km best)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nuo (Eastward velocity, m s-1)\nvo (Northward velocity, m s-1)\nwo (Vertical velocity, m s-1)\nthetao (Temperature, degree_C)\nso (Salinity, PSU)\nrho (Density, kg m3-1)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/hydroSOMA_model_daily_2km_1_ualg_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/hydroSOMA_model_daily_2km_1_ualg_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/hydroSOMA_model_daily_2km_1_ualg/index.htmlTable https://soma.ualg.pt (external link) https://data-nautilos-h2020.eu/erddap/rss/hydroSOMA_model_daily_2km_1_ualg.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=hydroSOMA_model_daily_2km_1_ualg&showErrors=false&email= UAlg hydroSOMA_model_daily_2km_1_ualg
https://data-nautilos-h2020.eu/erddap/griddap/hydroSOMA_model_hourly_surf_1km_1_ualg https://data-nautilos-h2020.eu/erddap/griddap/hydroSOMA_model_hourly_surf_1km_1_ualg.graph https://data-nautilos-h2020.eu/erddap/wms/hydroSOMA_model_hourly_surf_1km_1_ualg/request NAUTILOS - SOMA hourly averaged 2D fields forecast (HOURLY SURFACE 1km best) [time][depth][latitude][longitude], 2022-present - UAlg SOMA hourly averaged 2D fields forecast (HOURLY SURFACE 1km best)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nuo (Eastward velocity, m s-1)\nvo (Northward velocity, m s-1)\nwo (Vertical velocity, m s-1)\nthetao (Temperature, degree_C)\nso (Salinity, PSU)\nrho (Density, kg m3-1)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/hydroSOMA_model_hourly_surf_1km_1_ualg_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/hydroSOMA_model_hourly_surf_1km_1_ualg_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/hydroSOMA_model_hourly_surf_1km_1_ualg/index.htmlTable https://soma.ualg.pt (external link) https://data-nautilos-h2020.eu/erddap/rss/hydroSOMA_model_hourly_surf_1km_1_ualg.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=hydroSOMA_model_hourly_surf_1km_1_ualg&showErrors=false&email= UAlg hydroSOMA_model_hourly_surf_1km_1_ualg
https://data-nautilos-h2020.eu/erddap/griddap/hydroSOMA_model_hourly_surf_2km_1_ualg https://data-nautilos-h2020.eu/erddap/griddap/hydroSOMA_model_hourly_surf_2km_1_ualg.graph https://data-nautilos-h2020.eu/erddap/wms/hydroSOMA_model_hourly_surf_2km_1_ualg/request NAUTILOS - SOMA hourly averaged 2D fields forecast (HOURLY SURFACE 2km best) [time][depth][latitude][longitude], 2022-present - UAlg SOMA hourly averaged 2D fields forecast (HOURLY SURFACE 2km best)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nuo (Eastward velocity, m s-1)\nvo (Northward velocity, m s-1)\nwo (Vertical velocity, m s-1)\nthetao (Temperature, degree_C)\nso (Salinity, PSU)\nrho (Density, kg m3-1)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/hydroSOMA_model_hourly_surf_2km_1_ualg_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/hydroSOMA_model_hourly_surf_2km_1_ualg_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/hydroSOMA_model_hourly_surf_2km_1_ualg/index.htmlTable https://soma.ualg.pt (external link) https://data-nautilos-h2020.eu/erddap/rss/hydroSOMA_model_hourly_surf_2km_1_ualg.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=hydroSOMA_model_hourly_surf_2km_1_ualg&showErrors=false&email= UAlg hydroSOMA_model_hourly_surf_2km_1_ualg

 
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