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griddap Subset tabledap Make A Graph wms files Title Summary FGDC ISO 19115 Info Background Info RSS Email Institution Dataset ID
https://data-nautilos-h2020.eu/erddap/tabledap/algawarning https://data-nautilos-h2020.eu/erddap/tabledap/algawarning.graph https://data-nautilos-h2020.eu/erddap/files/algawarning/ NAUTILOS - @lgaWarning Data @lgaWarning Data\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nsite_name (Position)\nlatitude (degrees_north)\nlongitude (degrees_east)\nalgae_type (Type)\ndescription\nsample_volume (Volume, ml)\noperator_id (User)\nimage\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/algawarning_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/algawarning_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/algawarning/index.htmlTable http://algawarning.it/ (external link) https://data-nautilos-h2020.eu/erddap/rss/algawarning.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=algawarning&showErrors=false&email= ETT algawarning
https://data-nautilos-h2020.eu/erddap/tabledap/algal_bloom https://data-nautilos-h2020.eu/erddap/tabledap/algal_bloom.graph https://data-nautilos-h2020.eu/erddap/files/algal_bloom/ NAUTILOS - Algal Bloom from citizen science - ETT, CNR ISTI Data collected with AlgaWarning is a tool for monitoring Harmful Algal Blooms (HABs) in aquatic environments from citizen science.\n\ncdm_data_type = Other\nVARIABLES:\ndate (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nlocation_name\ndepth (m)\nsea_zone (Sea Level)\nsea_bottom_type\ndescription\nspecies_taxom_name\nsample_volume (ml)\nweather_type\nuser\nauthor\ntimestamp (seconds since 1970-01-01T00:00:00Z)\nimage\nthumbnail\ncommand\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/algal_bloom_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/algal_bloom_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/algal_bloom/index.htmlTable https://www.nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/algal_bloom.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=algal_bloom&showErrors=false&email= ETT, CNR ISTI algal_bloom
https://data-nautilos-h2020.eu/erddap/tabledap/carbonate_pH_memosens_niva_syke_test.subset https://data-nautilos-h2020.eu/erddap/tabledap/carbonate_pH_memosens_niva_syke_test https://data-nautilos-h2020.eu/erddap/tabledap/carbonate_pH_memosens_niva_syke_test.graph https://data-nautilos-h2020.eu/erddap/files/carbonate_pH_memosens_niva_syke_test/ NAUTILOS - Carbonate pH Memosens sensor - NIVA/SYKE - Test Ferrybox ISFET sensor pH data from cargo vessel \"Finnmaid\" traversing between Helsinki and Travemünde every three days.\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\npH_pH (P H P H, pH units)\nTemperature_degC (Temperature Deg C, degree_Celsius)\nRawValuePH_mV (Raw Value PH M V)\nlatitude (degrees_north)\nlongitude (degrees_east)\nFlow_LPM\nSerial_number\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/carbonate_pH_memosens_niva_syke_test_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/carbonate_pH_memosens_niva_syke_test_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/carbonate_pH_memosens_niva_syke_test/index.htmlTable https://nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/carbonate_pH_memosens_niva_syke_test.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=carbonate_pH_memosens_niva_syke_test&showErrors=false&email= NIVA, SYKE carbonate_pH_memosens_niva_syke_test
https://data-nautilos-h2020.eu/erddap/tabledap/mini_drifter.subset https://data-nautilos-h2020.eu/erddap/tabledap/mini_drifter https://data-nautilos-h2020.eu/erddap/tabledap/mini_drifter.graph https://data-nautilos-h2020.eu/erddap/files/mini_drifter/ NAUTILOS - Citizen Science Low-cost drifters for marine litter coastal monitoring - CNR ISMAR This project utilizes traditional marine litter to create drifters equipped with electronic devices for analyzing sea routes. The use of ordinary litter provides a realistic model for studying ocean currents, while also being cost-effective and easily assembled by makers, associations, and schools. The drifters feature solar panels for energy and transmit data via GSM. The project aims to enhance monitoring efforts and raise awareness about marine litter in alignment with the Marine Strategy Framework Directive. The drifters are equipped with self-sustaining solar panels and transmit data through the GSM network. The novelty lies in the specially created software that records data in case of signal loss and transmits it as soon as the signal returns.\n\ncdm_data_type = Other\nVARIABLES:\nmission\nID (drifter ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndrifter_type\nspeed (km/h)\ndirection (degree)\ntemp_surface (degree_Celsius)\ntemp_air (degree_Celsius)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/mini_drifter_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/mini_drifter_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/mini_drifter/index.htmlTable http://www.ismar.cnr.it/ (external link) https://data-nautilos-h2020.eu/erddap/rss/mini_drifter.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=mini_drifter&showErrors=false&email= CNR-ISMAR mini_drifter
https://data-nautilos-h2020.eu/erddap/tabledap/dissolved-oxygen_nke_ifremer_test https://data-nautilos-h2020.eu/erddap/tabledap/dissolved-oxygen_nke_ifremer_test.graph https://data-nautilos-h2020.eu/erddap/files/dissolved-oxygen_nke_ifremer_test/ NAUTILOS - Dissolved oxygen sensor WiSens TD DO - NKE / Ifremer - Test Collection of pressure, temperature and dissolved oxygen collected by fishing vessel and aquaculture plants.\n\ncdm_data_type = Point\nVARIABLES:\ntime (Timestamp(Standard), seconds since 1970-01-01T00:00:00Z)\nPressure (CH0:Pressure(bar), bar)\nTemperature (CH1:Temperature(deg C), degree_Celsius)\nOxygen (CH2:Oxygen(deg), deg)\ndepth (CH3:Depth(m), m)\nOxygen_Concentration (CH4:Oxygen Concentration(mg/L), mg/l)\nOxygen_Saturation (CH5:Oxygen Saturation(%), percent)\nlatitude (degrees_north)\nlongitude (degrees_east)\nsensor_model\nnotes (Additional notes)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/dissolved-oxygen_nke_ifremer_test_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/dissolved-oxygen_nke_ifremer_test_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/dissolved-oxygen_nke_ifremer_test/index.htmlTable https://nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/dissolved-oxygen_nke_ifremer_test.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=dissolved-oxygen_nke_ifremer_test&showErrors=false&email= NKE, Ifremer dissolved-oxygen_nke_ifremer_test
https://data-nautilos-h2020.eu/erddap/tabledap/diver_campaign https://data-nautilos-h2020.eu/erddap/tabledap/diver_campaign.graph https://data-nautilos-h2020.eu/erddap/files/diver_campaign/ NAUTILOS - Diver Campaign from citizen science app Diver Campaign from citizen science app\n\ncdm_data_type = Other\nVARIABLES:\nmeasured_parameter\nmeasured_value (???)\ndate (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nlocation_name\ndepth (m)\nsea_bottom_type\nweather_type\nsea_status\nimage\nthumbnail\nuser\ntimestamp (seconds since 1970-01-01T00:00:00Z)\nauthor\ncommand\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/diver_campaign_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/diver_campaign_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/diver_campaign/index.htmlTable https://www.nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/diver_campaign.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=diver_campaign&showErrors=false&email= CNR ISTI diver_campaign
https://data-nautilos-h2020.eu/erddap/tabledap/chlorophyll_nke_ifremer_test https://data-nautilos-h2020.eu/erddap/tabledap/chlorophyll_nke_ifremer_test.graph https://data-nautilos-h2020.eu/erddap/files/chlorophyll_nke_ifremer_test/ NAUTILOS - Fluorescence sensor WiSens TD Chl-a - NKE / Ifremer - Test Collection of pressure, temperature and chlorophyll-a collected by fishing vessel and aquaculture plants.\n\ncdm_data_type = Point\nVARIABLES:\ntime (Timestamp(Standard), seconds since 1970-01-01T00:00:00Z)\nPressure (CH0:Pressure(bar), bar)\nTemperature (Temperature(deg C), degree_Celsius)\nChlorophyll_a_ppb (Concentration Of Chlorophyll In Sea Water, ppb)\nChlorophyll_a_ugL (Concentration Of Chlorophyll In Sea Water, µg/L)\ndepth (Depth(m), m)\nlatitude (degrees_north)\nlongitude (degrees_east)\nsensor_model\nnotes (Additional notes)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/chlorophyll_nke_ifremer_test_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/chlorophyll_nke_ifremer_test_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/chlorophyll_nke_ifremer_test/index.htmlTable https://nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/chlorophyll_nke_ifremer_test.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=chlorophyll_nke_ifremer_test&showErrors=false&email= NKE, Ifremer chlorophyll_nke_ifremer_test
https://data-nautilos-h2020.eu/erddap/tabledap/image_annotation https://data-nautilos-h2020.eu/erddap/tabledap/image_annotation.graph https://data-nautilos-h2020.eu/erddap/files/image_annotation/ NAUTILOS - Image Annotation from citizen science Image Annotation from citizen science\n\ncdm_data_type = Other\nVARIABLES:\nimage\nthumbnail\nspecies_taxom_name\nquantity (meter)\ndate (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nlocation_name\ndepth (m)\nsea_level\nsea_bottom_type\nweather_type\nuser\ntimestamp (seconds since 1970-01-01T00:00:00Z)\nauthor\ncommand\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/image_annotation_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/image_annotation_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/image_annotation/index.htmlTable https://www.nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/image_annotation.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=image_annotation&showErrors=false&email= CNR ISTI image_annotation
https://data-nautilos-h2020.eu/erddap/tabledap/AdriFOOS_FV_chlorophyll_cnr-irbim https://data-nautilos-h2020.eu/erddap/tabledap/AdriFOOS_FV_chlorophyll_cnr-irbim.graph https://data-nautilos-h2020.eu/erddap/files/AdriFOOS_FV_chlorophyll_cnr-irbim/ NAUTILOS - NRT Collection of chlorophyll and temperature - Fishing Vessels profiles by AdriFOOS platform - CNR IRBIM Collection of chlorophyll and temperature collected by Fishing Vessels profiles by AdriFOOS platform\n\ncdm_data_type = Point\nVARIABLES:\nsensor_model (Model of Sensor)\ntime (Valid Time GMT, seconds since 1970-01-01T00:00:00Z)\nSN\nsite_code\nlatitude (degrees_north)\nlongitude (degrees_east)\nvessel_code\ndepth (m)\nDEPTH_QC (quality flag for DEPTH)\nTEMP (sea temperature, degree_Celsius)\nTEMP_QC (quality flag for TEMP)\nCHLA (Chlorophyll-a, ppb)\nCHLA_QC (Chlorophyll-a QC)\nPOSITION_QC (quality flag for position)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/AdriFOOS_FV_chlorophyll_cnr-irbim_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/AdriFOOS_FV_chlorophyll_cnr-irbim_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/AdriFOOS_FV_chlorophyll_cnr-irbim/index.htmlTable https://data-nautilos-h2020.eu/erddap/info https://data-nautilos-h2020.eu/erddap/rss/AdriFOOS_FV_chlorophyll_cnr-irbim.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=AdriFOOS_FV_chlorophyll_cnr-irbim&showErrors=false&email= CNR IRBIM AdriFOOS_FV_chlorophyll_cnr-irbim
https://data-nautilos-h2020.eu/erddap/tabledap/csc_chlorophyll_cnr-irbim https://data-nautilos-h2020.eu/erddap/tabledap/csc_chlorophyll_cnr-irbim.graph https://data-nautilos-h2020.eu/erddap/files/csc_chlorophyll_cnr-irbim/ NAUTILOS - NRT Collection of chlorophyll and temperature - recreational divers profiles - CNR IRBIM These data were collected by recreational divers during a specific citizen science activity and made freely available as a contribution to NAUTILOS H2020 project.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (Timestamp(Standard), seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nPRES (water_pressure, bar)\ndepth (m)\nTEMP (sea_temperature, degree_Celsius)\nCHLA (Concentration Of Chlorophyll In Sea Water, µg/l)\nsensor_model\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/csc_chlorophyll_cnr-irbim_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/csc_chlorophyll_cnr-irbim_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/csc_chlorophyll_cnr-irbim/index.htmlTable https://nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/csc_chlorophyll_cnr-irbim.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=csc_chlorophyll_cnr-irbim&showErrors=false&email= CNR IRBIM csc_chlorophyll_cnr-irbim
https://data-nautilos-h2020.eu/erddap/tabledap/csc_dissolved-oxygen_cnr-irbim https://data-nautilos-h2020.eu/erddap/tabledap/csc_dissolved-oxygen_cnr-irbim.graph https://data-nautilos-h2020.eu/erddap/files/csc_dissolved-oxygen_cnr-irbim/ NAUTILOS - NRT Collection of oxygen and temperature -  recreational divers profiles - CNR IRBIM These data were collected by recreational divers during a specific citizen science activity and made freely available as a contribution to NAUTILOS H2020 project.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (Timestamp(Standard), seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nPRES (pressure, bar)\ndepth (m)\nTEMP (water temperature, degree_Celsius)\nOxygen\nDOXY (oxygen_concentration(mg/L), mg/l)\nOSAT (oxygen_saturation, percent)\nsensor_model\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/csc_dissolved-oxygen_cnr-irbim_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/csc_dissolved-oxygen_cnr-irbim_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/csc_dissolved-oxygen_cnr-irbim/index.htmlTable https://data-nautilos-h2020.eu/erddap/info https://data-nautilos-h2020.eu/erddap/rss/csc_dissolved-oxygen_cnr-irbim.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=csc_dissolved-oxygen_cnr-irbim&showErrors=false&email= CNR IRBIM csc_dissolved-oxygen_cnr-irbim
https://data-nautilos-h2020.eu/erddap/tabledap/AdriFOOS_FV_oxygen-dissolved_cnr-irbim https://data-nautilos-h2020.eu/erddap/tabledap/AdriFOOS_FV_oxygen-dissolved_cnr-irbim.graph https://data-nautilos-h2020.eu/erddap/files/AdriFOOS_FV_oxygen-dissolved_cnr-irbim/ NAUTILOS - NRT Collection of oxygen and temperature - Fishing Vessels profiles by AdriFOOS platform - CNR IRBIM Collection of oxygen and temperature collected by Fishing Vessels profiles by AdriFOOS platform\n\ncdm_data_type = Point\nVARIABLES:\nsensor_model (Model of Sensor)\ntime (Valid Time GMT, seconds since 1970-01-01T00:00:00Z)\nSN\nsite_code\nlatitude (degrees_north)\nlongitude (degrees_east)\nvessel_code\ndepth (m)\nDEPTH_QC (quality flag for DEPTH)\nTEMP (sea temperature, degree_Celsius)\nTEMP_QC (quality flag for TEMP)\nOSAT (oxygen saturation, percent)\nOSAT_QC (quality flag for OSAT)\nDOXY (dissolved oxygen, mg/l)\nDOXY_QC (quality flag for DOXY)\nPOSITION_QC (quality flag for position)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/AdriFOOS_FV_oxygen-dissolved_cnr-irbim_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/AdriFOOS_FV_oxygen-dissolved_cnr-irbim_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/AdriFOOS_FV_oxygen-dissolved_cnr-irbim/index.htmlTable https://data-nautilos-h2020.eu/erddap/info https://data-nautilos-h2020.eu/erddap/rss/AdriFOOS_FV_oxygen-dissolved_cnr-irbim.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=AdriFOOS_FV_oxygen-dissolved_cnr-irbim&showErrors=false&email= CNR IRBIM AdriFOOS_FV_oxygen-dissolved_cnr-irbim
https://data-nautilos-h2020.eu/erddap/tabledap/Adrifoos_FV https://data-nautilos-h2020.eu/erddap/tabledap/Adrifoos_FV.graph https://data-nautilos-h2020.eu/erddap/files/Adrifoos_FV/ NAUTILOS - NRT Collection of temperature, oxygen and chlorophyll - Fishing Vessels profiles - AdriFOOS Collection of temperature, oxygen and chlorophyll collected by Fisshing Vessels profiles - AdriFOOS\n\ncdm_data_type = Point\nVARIABLES:\ntime (Valid Time GMT, seconds since 1970-01-01T00:00:00Z)\nSN\nsite_code\nlatitude (degrees_north)\nlongitude (degrees_east)\nvessel_code\ndepth (m)\nDEPTH_QC (quality flag for DEPTH)\nTEMP (sea temperature, degree_Celsius)\nTEMP_QC (quality flag for TEMP)\nOSAT (oxygen saturation, percent)\nOSAT_QC (quality flag for OSAT)\nCHLA (Chlorophyll-a, ppb)\nCHLA_QC (Chlorophyll-a QC)\nDOXY (dissolved oxygen, mg/l)\nDOXY_QC (quality flag for DOXY)\nPOSITION_QC (quality flag for position)\nsensor_model (Model of Sensor)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/Adrifoos_FV_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/Adrifoos_FV_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/Adrifoos_FV/index.htmlTable https://nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/Adrifoos_FV.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=Adrifoos_FV&showErrors=false&email= CNR IRBIM Adrifoos_FV
https://data-nautilos-h2020.eu/erddap/tabledap/particles_tracking_exp_output_postNaut_bFalse_f1_niva https://data-nautilos-h2020.eu/erddap/tabledap/particles_tracking_exp_output_postNaut_bFalse_f1_niva.graph https://data-nautilos-h2020.eu/erddap/files/particles_tracking_exp_output_postNaut_bFalse_f1_niva/ NAUTILOS - Particle tracking postNautilos experiment with biofouling and floating off - NIVA Experiment using the postNautilos physics files to run the drift, with the biofouling module turned off and the plastic set to be buoyant rather than 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)\nx_sea_water_velocity\ny_sea_water_velocity\nx_wind\ny_wind\nupward_sea_water_velocity\nocean_vertical_diffusivity\nsea_surface_wave_significant_height\nsea_surface_wave_stokes_drift_x_velocity\nsea_surface_wave_stokes_drift_y_velocity\nsea_surface_wave_period_at_variance_spectral_density_maximum\nsea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment\nsurface_downward_x_stress\nsurface_downward_y_stress\nturbulent_kinetic_energy\n... (4 more variables)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/particles_tracking_exp_output_postNaut_bFalse_f1_niva_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/particles_tracking_exp_output_postNaut_bFalse_f1_niva_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/particles_tracking_exp_output_postNaut_bFalse_f1_niva/index.htmlTable https://data-nautilos-h2020.eu/erddap/index.html https://data-nautilos-h2020.eu/erddap/rss/particles_tracking_exp_output_postNaut_bFalse_f1_niva.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=particles_tracking_exp_output_postNaut_bFalse_f1_niva&showErrors=false&email= NIVA particles_tracking_exp_output_postNaut_bFalse_f1_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_bFalse_f1_niva https://data-nautilos-h2020.eu/erddap/tabledap/particles_tracking_exp_output_preNaut_bFalse_f1_niva.graph https://data-nautilos-h2020.eu/erddap/files/particles_tracking_exp_output_preNaut_bFalse_f1_niva/ NAUTILOS - Particle tracking preNautilos experiment with biofouling and floating off - NIVA Experiment using the preNautilos physics files to run the drift, with the biofouling module turned off and the plastic set to be buoyant rather than 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)\nx_sea_water_velocity\ny_sea_water_velocity\nx_wind\ny_wind\nupward_sea_water_velocity\nocean_vertical_diffusivity\nsea_surface_wave_significant_height\nsea_surface_wave_stokes_drift_x_velocity\nsea_surface_wave_stokes_drift_y_velocity\nsea_surface_wave_period_at_variance_spectral_density_maximum\nsea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment\nsurface_downward_x_stress\nsurface_downward_y_stress\nturbulent_kinetic_energy\n... (4 more variables)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/particles_tracking_exp_output_preNaut_bFalse_f1_niva_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/particles_tracking_exp_output_preNaut_bFalse_f1_niva_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/particles_tracking_exp_output_preNaut_bFalse_f1_niva/index.htmlTable https://data-nautilos-h2020.eu/erddap/index.html https://data-nautilos-h2020.eu/erddap/rss/particles_tracking_exp_output_preNaut_bFalse_f1_niva.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=particles_tracking_exp_output_preNaut_bFalse_f1_niva&showErrors=false&email= NIVA particles_tracking_exp_output_preNaut_bFalse_f1_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_bFalse_f1_niva https://data-nautilos-h2020.eu/erddap/tabledap/particles_tracking_exp_output_roho160_bFalse_f1_niva.graph https://data-nautilos-h2020.eu/erddap/files/particles_tracking_exp_output_roho160_bFalse_f1_niva/ NAUTILOS - Particle tracking roho160 experiment with biofouling and floating off - NIVA Experiment using the roho160 physics files to run the drift, with the biofouling module turned off and the plastic set to be buoyant rather than 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)\nx_sea_water_velocity\ny_sea_water_velocity\nx_wind\ny_wind\nupward_sea_water_velocity\nocean_vertical_diffusivity\nsea_surface_wave_significant_height\nsea_surface_wave_stokes_drift_x_velocity\nsea_surface_wave_stokes_drift_y_velocity\nsea_surface_wave_period_at_variance_spectral_density_maximum\nsea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment\nsurface_downward_x_stress\nsurface_downward_y_stress\nturbulent_kinetic_energy\n... (4 more variables)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/particles_tracking_exp_output_roho160_bFalse_f1_niva_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/particles_tracking_exp_output_roho160_bFalse_f1_niva_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/particles_tracking_exp_output_roho160_bFalse_f1_niva/index.htmlTable https://data-nautilos-h2020.eu/erddap/index.html https://data-nautilos-h2020.eu/erddap/rss/particles_tracking_exp_output_roho160_bFalse_f1_niva.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=particles_tracking_exp_output_roho160_bFalse_f1_niva&showErrors=false&email= NIVA particles_tracking_exp_output_roho160_bFalse_f1_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_1km_2_ualg https://data-nautilos-h2020.eu/erddap/griddap/hydroSOMA_model_daily_1km_2_ualg.graph https://data-nautilos-h2020.eu/erddap/wms/hydroSOMA_model_daily_1km_2_ualg/request NAUTILOS - SOMA daily averaged 3D fields forecast (DAILY 3D 1km best) [time][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][latitude][longitude]):\nssh (Sea surface height, m)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/hydroSOMA_model_daily_1km_2_ualg_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/hydroSOMA_model_daily_1km_2_ualg_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/hydroSOMA_model_daily_1km_2_ualg/index.htmlTable https://soma.ualg.pt (external link) https://data-nautilos-h2020.eu/erddap/rss/hydroSOMA_model_daily_1km_2_ualg.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=hydroSOMA_model_daily_1km_2_ualg&showErrors=false&email= UAlg hydroSOMA_model_daily_1km_2_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_daily_2km_2_ualg https://data-nautilos-h2020.eu/erddap/griddap/hydroSOMA_model_daily_2km_2_ualg.graph https://data-nautilos-h2020.eu/erddap/wms/hydroSOMA_model_daily_2km_2_ualg/request NAUTILOS - SOMA daily averaged 3D fields forecast (DAILY 3D 2km best) [time][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][latitude][longitude]):\nssh (Sea surface height, m)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/hydroSOMA_model_daily_2km_2_ualg_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/hydroSOMA_model_daily_2km_2_ualg_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/hydroSOMA_model_daily_2km_2_ualg/index.htmlTable https://soma.ualg.pt (external link) https://data-nautilos-h2020.eu/erddap/rss/hydroSOMA_model_daily_2km_2_ualg.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=hydroSOMA_model_daily_2km_2_ualg&showErrors=false&email= UAlg hydroSOMA_model_daily_2km_2_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_1km_2_ualg https://data-nautilos-h2020.eu/erddap/griddap/hydroSOMA_model_hourly_surf_1km_2_ualg.graph https://data-nautilos-h2020.eu/erddap/wms/hydroSOMA_model_hourly_surf_1km_2_ualg/request NAUTILOS - SOMA hourly averaged 2D fields forecast (HOURLY SURFACE 1km best) [time][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][latitude][longitude]):\nssh (Sea surface height, m)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/hydroSOMA_model_hourly_surf_1km_2_ualg_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/hydroSOMA_model_hourly_surf_1km_2_ualg_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/hydroSOMA_model_hourly_surf_1km_2_ualg/index.htmlTable https://soma.ualg.pt (external link) https://data-nautilos-h2020.eu/erddap/rss/hydroSOMA_model_hourly_surf_1km_2_ualg.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=hydroSOMA_model_hourly_surf_1km_2_ualg&showErrors=false&email= UAlg hydroSOMA_model_hourly_surf_1km_2_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
https://data-nautilos-h2020.eu/erddap/griddap/hydroSOMA_model_hourly_surf_2km_2_ualg https://data-nautilos-h2020.eu/erddap/griddap/hydroSOMA_model_hourly_surf_2km_2_ualg.graph https://data-nautilos-h2020.eu/erddap/wms/hydroSOMA_model_hourly_surf_2km_2_ualg/request NAUTILOS - SOMA hourly averaged 2D fields forecast (HOURLY SURFACE 2km best) [time][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][latitude][longitude]):\nssh (Sea surface height, m)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/hydroSOMA_model_hourly_surf_2km_2_ualg_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/hydroSOMA_model_hourly_surf_2km_2_ualg_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/hydroSOMA_model_hourly_surf_2km_2_ualg/index.htmlTable https://soma.ualg.pt (external link) https://data-nautilos-h2020.eu/erddap/rss/hydroSOMA_model_hourly_surf_2km_2_ualg.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=hydroSOMA_model_hourly_surf_2km_2_ualg&showErrors=false&email= UAlg hydroSOMA_model_hourly_surf_2km_2_ualg
https://data-nautilos-h2020.eu/erddap/tabledap/AdriFOOS_profiles_2012-2020 https://data-nautilos-h2020.eu/erddap/tabledap/AdriFOOS_profiles_2012-2020.graph https://data-nautilos-h2020.eu/erddap/files/AdriFOOS_profiles_2012-2020/ NAUTILOS - Temperature profiles 2012-2020 - Fishing Vessels profiles by AdriFOOS platform - CNR IRBIM CNR-IRBIM implemented the \"AdriFOOS\" observational system, by installing the FOOS on some commercial fishing boats operating in the Adriatic Sea. Since then the datacenter based in Ancona receives daily data sets of environmental parameters collected along the water column and close to the sea bottom (eg. temperature, salinity, etc.), together with GPS haul tracks, catch amounts per haul, target species sizes and weather information. Some temperature and salinity measurements acquired by the FOOS in the Adriatic Sea from January 2014 to March 2015 were published within the JERICO project and some oxygen and fluorescence profiles obtained in 2017 within the NEXOS project.\n\ncdm_data_type = Point\nVARIABLES:\nCruise\nStation\nType\ntime (YYYY-MM-DD THH:MM:SS.SSS, seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\nSN\nPressure (dbar)\nQV_SEADATANET\nTemperature (degree_Celsius)\nQV_SEADATANET_1\nQV_ODV_SAMPLE\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/AdriFOOS_profiles_2012-2020_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/AdriFOOS_profiles_2012-2020_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/AdriFOOS_profiles_2012-2020/index.htmlTable https://doi.org/10.5194/essd-15-3513-2023 (external link) https://data-nautilos-h2020.eu/erddap/rss/AdriFOOS_profiles_2012-2020.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=AdriFOOS_profiles_2012-2020&showErrors=false&email= CNR IRBIM AdriFOOS_profiles_2012-2020

 
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