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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 S.p.A. 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 Algal Bloom 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= CNR ISTI algal_bloom
https://data-nautilos-h2020.eu/erddap/tabledap/carbonate_pH_memosens_niva_syke.subset https://data-nautilos-h2020.eu/erddap/tabledap/carbonate_pH_memosens_niva_syke https://data-nautilos-h2020.eu/erddap/tabledap/carbonate_pH_memosens_niva_syke.graph https://data-nautilos-h2020.eu/erddap/files/carbonate_pH_memosens_niva_syke/ NAUTILOS - Carbonate pH Memosens sensor - NIVA/SYKE 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, volt)\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_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/carbonate_pH_memosens_niva_syke_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/carbonate_pH_memosens_niva_syke/index.htmlTable https://nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/carbonate_pH_memosens_niva_syke.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=carbonate_pH_memosens_niva_syke&showErrors=false&email= NIVA, SYKE carbonate_pH_memosens_niva_syke
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/ceiia_camera_data https://data-nautilos-h2020.eu/erddap/tabledap/ceiia_camera_data.graph https://data-nautilos-h2020.eu/erddap/files/ceiia_camera_data/ NAUTILOS - CEiiA Lander with Camera - CEiiA NAUTILOS - CEiiA Lander with Camera - CEiiA\n\ncdm_data_type = Other\nVARIABLES:\nname (File Name)\nurl\nmission_id\nlatitude (degrees_north)\nlongitude (degrees_east)\ntimestamp\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/ceiia_camera_data_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/ceiia_camera_data_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/ceiia_camera_data/index.htmlTable https://data-nautilos-h2020.eu/erddap/index.html https://data-nautilos-h2020.eu/erddap/rss/ceiia_camera_data.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=ceiia_camera_data&showErrors=false&email= CEiiA ceiia_camera_data
https://data-nautilos-h2020.eu/erddap/tabledap/CTD_lander_ceiia_data https://data-nautilos-h2020.eu/erddap/tabledap/CTD_lander_ceiia_data.graph https://data-nautilos-h2020.eu/erddap/files/CTD_lander_ceiia_data/ NAUTILOS - CEiiA Lander with UL-FE Deep Ocean CTD - Data - CEiiA / UL-FE NAUTILOS - CEiiA Lander with UL-FE Deep Ocean CTD - Data - CEiiA / UL-FE\n\ncdm_data_type = Other\nVARIABLES:\nmission_id\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ncell_f (hertz)\ncell_v (volt)\ngain_i\ngain_v\nrtd\nwire\nr (ohm)\nT (Temperature, degree_Celsius)\nip_p_p (ampere)\nip_p_m (ampere)\nvp_p_p (volt)\nvp_p_m (volt)\ntemp_coef (%/C)\np_gain\np_adc\nvp (volt)\nP (Pressure, kPa)\nr_cond (ohm)\nC (Conductivity, S/cm)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/CTD_lander_ceiia_data_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/CTD_lander_ceiia_data_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/CTD_lander_ceiia_data/index.htmlTable https://data-nautilos-h2020.eu/erddap/index.html https://data-nautilos-h2020.eu/erddap/rss/CTD_lander_ceiia_data.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=CTD_lander_ceiia_data&showErrors=false&email= CEiiA, UL-FE CTD_lander_ceiia_data
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 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/csc_plastic_campaign.subset https://data-nautilos-h2020.eu/erddap/tabledap/csc_plastic_campaign https://data-nautilos-h2020.eu/erddap/tabledap/csc_plastic_campaign.graph https://data-nautilos-h2020.eu/erddap/files/csc_plastic_campaign/ NAUTILOS - Citizen Science Plastic Campaign Citizen Science Plastic Campaign. National Research Council (CNR) ISTI\n\ncdm_data_type = Other\nVARIABLES:\ncampaign_name\ncampaign_id\nlatitude (degrees_north)\nlongitude (degrees_east)\ndate\nfilling_date\nlocation_name\ncountry\ncontributor\nbeach_name\nbeach_code\nbeach_amendment\nwidth (meter)\nlength (meter)\nsurrounding_type\nsediment_type\nweather_type\nuid\ndata_policy\ncollator\ncoordinate_system\nsurvey_type\nsurvey_code\noriginator\ntimestamp (seconds since 1970-01-01T00:00:00Z)\nauthor\ncommand\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/csc_plastic_campaign_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/csc_plastic_campaign_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/csc_plastic_campaign/index.htmlTable https://www.nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/csc_plastic_campaign.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=csc_plastic_campaign&showErrors=false&email= CNR ISTI csc_plastic_campaign
https://data-nautilos-h2020.eu/erddap/tabledap/env_logger_data_test.subset https://data-nautilos-h2020.eu/erddap/tabledap/env_logger_data_test https://data-nautilos-h2020.eu/erddap/tabledap/env_logger_data_test.graph https://data-nautilos-h2020.eu/erddap/files/env_logger_data_test/ NAUTILOS - Citizien Science - Temperature in the water column - Test Temperature in the water column collected with static temperature loggher with NFC technology in Citizen Scinece campaigns\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\ntemp (Temperature, degree_Celsius)\nserial_number\nsensor_id\nlatitude (degrees_north)\nlongitude (degrees_east)\naccuracy (GPS Position Accuracy, meter)\ndepth (Sensor depth, m)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/env_logger_data_test_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/env_logger_data_test_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/env_logger_data_test/index.htmlTable https://www.nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/env_logger_data_test.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=env_logger_data_test&showErrors=false&email= ETT S.p.A. env_logger_data_test
https://data-nautilos-h2020.eu/erddap/tabledap/plastic_litter_cnr_irbim https://data-nautilos-h2020.eu/erddap/tabledap/plastic_litter_cnr_irbim.graph https://data-nautilos-h2020.eu/erddap/files/plastic_litter_cnr_irbim/ NAUTILOS - Collection of plastic litter by AdriFOOS platform - CNR IRBIM Data about plastic litter collected with OTB gear by AdriFOOS platform\n\ncdm_data_type = Other\nVARIABLES:\ntrip_id\nvessel\nhaul_number_id\nsensor\ndate_start (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndate_end (seconds since 1970-01-01T00:00:00Z)\nlatitude_end (Latitude, degrees_north)\nlongitude_end (Longitude, degrees_east)\ncategory\ntype\nquantity (kilogram)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/plastic_litter_cnr_irbim_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/plastic_litter_cnr_irbim_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/plastic_litter_cnr_irbim/index.htmlTable https://nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/plastic_litter_cnr_irbim.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=plastic_litter_cnr_irbim&showErrors=false&email= CNR IRBIM plastic_litter_cnr_irbim
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\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/ASV_pH_test https://data-nautilos-h2020.eu/erddap/tabledap/ASV_pH_test.graph https://data-nautilos-h2020.eu/erddap/files/ASV_pH_test/ NAUTILOS - DM - Collection of pH and Temperature data collected from CEiiA's ASV - Test DM - Collection of pH and Temperature data collected from ASV\n\ncdm_data_type = Point\nVARIABLES:\nPLATFORMCODE (Platform code)\ntime (Timestamp, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nPHPH (Sea Water pH Reported On Total Scale, pH units)\nTEMP (sea temperature, degree_Celsius)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/ASV_pH_test_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/ASV_pH_test_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/ASV_pH_test/index.htmlTable https://nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/ASV_pH_test.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=ASV_pH_test&showErrors=false&email= CEiiA-Portugal/NIVA ASV_pH_test
https://data-nautilos-h2020.eu/erddap/tabledap/fluorescence_sensor_camera_niva https://data-nautilos-h2020.eu/erddap/tabledap/fluorescence_sensor_camera_niva.graph https://data-nautilos-h2020.eu/erddap/files/fluorescence_sensor_camera_niva/ NAUTILOS - Downward-looking multi/hyperspectral and laser induced fluorescence sensors and cameras - NIVA NAUTILOS - Downward-looking multi/hyperspectral and laser induced fluorescence sensors and cameras - 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)\n... (4 more variables)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/fluorescence_sensor_camera_niva_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/fluorescence_sensor_camera_niva_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/fluorescence_sensor_camera_niva/index.htmlTable https://data-nautilos-h2020.eu/erddap/index.html https://data-nautilos-h2020.eu/erddap/rss/fluorescence_sensor_camera_niva.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=fluorescence_sensor_camera_niva&showErrors=false&email= NIVA fluorescence_sensor_camera_niva
https://data-nautilos-h2020.eu/erddap/griddap/ecoMED10AM110_hcmr https://data-nautilos-h2020.eu/erddap/griddap/ecoMED10AM110_hcmr.graph https://data-nautilos-h2020.eu/erddap/wms/ecoMED10AM110_hcmr/request https://data-nautilos-h2020.eu/erddap/files/ecoMED10AM110_hcmr/ NAUTILOS - Eco Med10 Assimilation Model of 110 Random TEM/SAL Profiles (2010) - HCMR Simulated sea surface ecological variables of Med. Sea (1/10 x 1/10)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [season][latitude][longitude]):\nPO4 (Sea Surface Phosphate Concentration, MMol/M3)\nNO3 (Sea Surface Nitrate Concentration, MMol/M3)\nNH4 (Sea Surface Ammonia Concentration, MMol/M3)\nSiO4 (Sea Surface Silicate Concentration, MMol/M3)\nDO (Sea Surface Dissolved Oxygen Concentration, mg/m3)\nChl (Sea Surface Chlorophyll-A Concentration, mg/m3)\nPP (Sea Surface Net Primary Production, mgC/m3/day)\nAT (Sea Surface Total Alkalinity, µmol/kg)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/ecoMED10AM110_hcmr_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/ecoMED10AM110_hcmr_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/ecoMED10AM110_hcmr/index.htmlTable https://nautilos-h2020.eu/data-portal/ (external link) https://data-nautilos-h2020.eu/erddap/rss/ecoMED10AM110_hcmr.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=ecoMED10AM110_hcmr&showErrors=false&email= HCMR ecoMED10AM110_hcmr
https://data-nautilos-h2020.eu/erddap/griddap/ecoMED10AM78_hcmr https://data-nautilos-h2020.eu/erddap/griddap/ecoMED10AM78_hcmr.graph https://data-nautilos-h2020.eu/erddap/wms/ecoMED10AM78_hcmr/request https://data-nautilos-h2020.eu/erddap/files/ecoMED10AM78_hcmr/ NAUTILOS - Eco Med10 Assimilation Model of 78 Random TEM/SAL Profiles (2010) - HCMR Simulated sea surface ecological variables of Med. Sea (1/10 x 1/10)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [season][latitude][longitude]):\nPO4 (Sea Surface Phosphate Concentration, MMol/M3)\nNO3 (Sea Surface Nitrate Concentration, MMol/M3)\nNH4 (Sea Surface Ammonia Concentration, MMol/M3)\nSiO4 (Sea Surface Silicate Concentration, MMol/M3)\nDO (Sea Surface Dissolved Oxygen Concentration, mg/m3)\nChl (Sea Surface Chlorophyll-A Concentration, mg/m3)\nPP (Sea Surface Net Primary Production, mgC/m3/day)\nAT (Sea Surface Total Alkalinity, µmol/kg)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/ecoMED10AM78_hcmr_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/ecoMED10AM78_hcmr_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/ecoMED10AM78_hcmr/index.htmlTable https://nautilos-h2020.eu/data-portal/ (external link) https://data-nautilos-h2020.eu/erddap/rss/ecoMED10AM78_hcmr.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=ecoMED10AM78_hcmr&showErrors=false&email= HCMR ecoMED10AM78_hcmr
https://data-nautilos-h2020.eu/erddap/griddap/ecoMED10FM_hcmr https://data-nautilos-h2020.eu/erddap/griddap/ecoMED10FM_hcmr.graph https://data-nautilos-h2020.eu/erddap/wms/ecoMED10FM_hcmr/request https://data-nautilos-h2020.eu/erddap/files/ecoMED10FM_hcmr/ NAUTILOS - Eco Med10 Forecast Model (2010) - HCMR Simulated sea surface ecological variables of Med. Sea (1/10 x 1/10)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [season][latitude][longitude]):\nPO4 (Sea Surface Phosphate Concentration, MMol/M3)\nNO3 (Sea Surface Nitrate Concentration, MMol/M3)\nNH4 (Sea Surface Ammonia Concentration, MMol/M3)\nSiO4 (Sea Surface Silicate Concentration, MMol/M3)\nDO (Sea Surface Dissolved Oxygen Concentration, mg/m3)\nChl (Sea Surface Chlorophyll-A Concentration, mg/m3)\nPP (Sea Surface Net Primary Production, mgC/m3/day)\nAT (Sea Surface Total Alkalinity, µmol/kg)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/ecoMED10FM_hcmr_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/ecoMED10FM_hcmr_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/ecoMED10FM_hcmr/index.htmlTable https://nautilos-h2020.eu/data-portal/ (external link) https://data-nautilos-h2020.eu/erddap/rss/ecoMED10FM_hcmr.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=ecoMED10FM_hcmr&showErrors=false&email= HCMR ecoMED10FM_hcmr
https://data-nautilos-h2020.eu/erddap/griddap/ecoMED10NR_hcmr https://data-nautilos-h2020.eu/erddap/griddap/ecoMED10NR_hcmr.graph https://data-nautilos-h2020.eu/erddap/wms/ecoMED10NR_hcmr/request https://data-nautilos-h2020.eu/erddap/files/ecoMED10NR_hcmr/ NAUTILOS - Eco Med10 Nature Run (2010) - HCMR Simulated sea surface ecological variables of Med. Sea (1/10 x 1/10)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [season][latitude][longitude]):\nPO4 (Sea Surface Phosphate Concentration, MMol/M3)\nNO3 (Sea Surface Nitrate Concentration, MMol/M3)\nNH4 (Sea Surface Ammonia Concentration, MMol/M3)\nSiO4 (Sea Surface Silicate Concentration, MMol/M3)\nDO (Sea Surface Dissolved Oxygen Concentration, mg/m3)\nChl (Sea Surface Chlorophyll-A Concentration, mg/m3)\nPP (Sea Surface Net Primary Production, mgC/m3/day)\nAT (Sea Surface Total Alkalinity, µmol/kg)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/ecoMED10NR_hcmr_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/ecoMED10NR_hcmr_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/ecoMED10NR_hcmr/index.htmlTable https://nautilos-h2020.eu/data-portal/ (external link) https://data-nautilos-h2020.eu/erddap/rss/ecoMED10NR_hcmr.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=ecoMED10NR_hcmr&showErrors=false&email= HCMR ecoMED10NR_hcmr
https://data-nautilos-h2020.eu/erddap/tabledap/elephant_seals_OCT_2021 https://data-nautilos-h2020.eu/erddap/tabledap/elephant_seals_OCT_2021.graph https://data-nautilos-h2020.eu/erddap/files/elephant_seals_OCT_2021/ NAUTILOS - Elephant Seals Data - Valdes peninsula in October 2021 Oceanographic data collected by the elephant seals equipped in Valdes peninsula in October 2021 as part of NAUTILOS program. These data are quality controlled for T and S, and aberrant profiles are removed. Oxygen profiles remain to be fully controlled\n\ncdm_data_type = Other\nVARIABLES:\ncruise_id\nPLATFORMCODE (Platform Code)\nplatform_type\ndate (Date Extended)\nhours (Hours Extended, hh:mm)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\ndepth (m)\nDEPTH_QC\nTEMP (sea temperature, degree_Celsius)\nTEMP_QC (TEMP quality flag)\nPSAL (practical salinity, PSU)\nPSAL_QC (PSAL quality flag)\nDOXY (dissolved oxygen, mmole/m3)\nDOXY_QC (DOXY quality flag)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/elephant_seals_OCT_2021_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/elephant_seals_OCT_2021_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/elephant_seals_OCT_2021/index.htmlTable https://www.nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/elephant_seals_OCT_2021.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=elephant_seals_OCT_2021&showErrors=false&email= CNRS elephant_seals_OCT_2021
https://data-nautilos-h2020.eu/erddap/tabledap/microplastic_sensor_ferrybox_niva https://data-nautilos-h2020.eu/erddap/tabledap/microplastic_sensor_ferrybox_niva.graph https://data-nautilos-h2020.eu/erddap/files/microplastic_sensor_ferrybox_niva/ NAUTILOS - Ferrybox data associated to microplastic sampler - NIVA A filter system with a 100 μm mesh size, at a depth of approximately 4-5 m. The FerryBox system enables large volume low cost microplastic sampler consisting of a filter holder allowing large sampling volumes (up to 10 000 L) to enable sampling down to background levels.\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nsalinity (Sea Water Practical Salinity, PSU)\ntemperature (degree_Celsius)\nchlorophyll_a (Concentration Of Chlorophyll In Sea Water, mg/m3)\nturbidity (FNU)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/microplastic_sensor_ferrybox_niva_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/microplastic_sensor_ferrybox_niva_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/microplastic_sensor_ferrybox_niva/index.htmlTable https://nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/microplastic_sensor_ferrybox_niva.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=microplastic_sensor_ferrybox_niva&showErrors=false&email= NIVA microplastic_sensor_ferrybox_niva
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/griddap/hydroMED10AM110_hcmr https://data-nautilos-h2020.eu/erddap/griddap/hydroMED10AM110_hcmr.graph https://data-nautilos-h2020.eu/erddap/wms/hydroMED10AM110_hcmr/request https://data-nautilos-h2020.eu/erddap/files/hydroMED10AM110_hcmr/ NAUTILOS - Hydro Med10 Assimilation Model of 110 Random TEM/SAL Profiles (2010) - HCMR Simulated sea surface ocean variables of Med. Sea (1/10 x 1/10)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nssh (Sea Surface Hight, m)\nu (Zonal Sea Surface Velocity, m/s)\nv (Meridional Sea Surface Velocity, m/s)\nsst (Sea Surface Temperature, degree_C)\nsss (Sea Surface Salinity, PSU)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/hydroMED10AM110_hcmr_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/hydroMED10AM110_hcmr_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/hydroMED10AM110_hcmr/index.htmlTable https://nautilos-h2020.eu/data-portal/ (external link) https://data-nautilos-h2020.eu/erddap/rss/hydroMED10AM110_hcmr.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=hydroMED10AM110_hcmr&showErrors=false&email= HCMR hydroMED10AM110_hcmr
https://data-nautilos-h2020.eu/erddap/griddap/hydroMED10AM78_hcmr https://data-nautilos-h2020.eu/erddap/griddap/hydroMED10AM78_hcmr.graph https://data-nautilos-h2020.eu/erddap/wms/hydroMED10AM78_hcmr/request https://data-nautilos-h2020.eu/erddap/files/hydroMED10AM78_hcmr/ NAUTILOS - Hydro Med10 Assimilation Model of 78 Random TEM/SAL Profiles (2010) - HCMR Simulated sea surface ocean variables of Med. Sea (1/10 x 1/10)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nssh (Sea Surface Hight, m)\nu (Zonal Sea Surface Velocity, m/s)\nv (Meridional Sea Surface Velocity, m/s)\nsst (Sea Surface Temperature, degree_C)\nsss (Sea Surface Salinity, PSU)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/hydroMED10AM78_hcmr_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/hydroMED10AM78_hcmr_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/hydroMED10AM78_hcmr/index.htmlTable https://nautilos-h2020.eu/data-portal/ (external link) https://data-nautilos-h2020.eu/erddap/rss/hydroMED10AM78_hcmr.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=hydroMED10AM78_hcmr&showErrors=false&email= HCMR hydroMED10AM78_hcmr
https://data-nautilos-h2020.eu/erddap/griddap/hydroMED10FM_hcmr https://data-nautilos-h2020.eu/erddap/griddap/hydroMED10FM_hcmr.graph https://data-nautilos-h2020.eu/erddap/wms/hydroMED10FM_hcmr/request https://data-nautilos-h2020.eu/erddap/files/hydroMED10FM_hcmr/ NAUTILOS - Hydro Med10 Forecast Model (2010) - HCMR Simulated sea surface ocean variables of Med. Sea (1/10 x 1/10)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nssh (Sea Surface Hight, m)\nu (Zonal Sea Surface Velocity, m/s)\nv (Meridional Sea Surface Velocity, m/s)\nsst (Sea Surface Temperature, degree_C)\nsss (Sea Surface Salinity, PSU)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/hydroMED10FM_hcmr_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/hydroMED10FM_hcmr_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/hydroMED10FM_hcmr/index.htmlTable https://nautilos-h2020.eu/data-portal/ (external link) https://data-nautilos-h2020.eu/erddap/rss/hydroMED10FM_hcmr.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=hydroMED10FM_hcmr&showErrors=false&email= HCMR hydroMED10FM_hcmr
https://data-nautilos-h2020.eu/erddap/griddap/hydroMED10NR_hcmr https://data-nautilos-h2020.eu/erddap/griddap/hydroMED10NR_hcmr.graph https://data-nautilos-h2020.eu/erddap/wms/hydroMED10NR_hcmr/request https://data-nautilos-h2020.eu/erddap/files/hydroMED10NR_hcmr/ NAUTILOS - Hydro Med10 Nature Run (2010) - HCMR Simulated sea surface ocean variables of Med. Sea (1/10 x 1/10)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nssh (Sea Surface Hight, m)\nu (Zonal Sea Surface Velocity, m/s)\nv (Meridional Sea Surface Velocity, m/s)\nsst (Sea Surface Temperature, degree_C)\nsss (Sea Surface Salinity, PSU)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/hydroMED10NR_hcmr_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/hydroMED10NR_hcmr_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/hydroMED10NR_hcmr/index.htmlTable https://nautilos-h2020.eu/data-portal/ (external link) https://data-nautilos-h2020.eu/erddap/rss/hydroMED10NR_hcmr.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=hydroMED10NR_hcmr&showErrors=false&email= HCMR hydroMED10NR_hcmr
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/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/nautilos_summer_school_2023.subset https://data-nautilos-h2020.eu/erddap/tabledap/nautilos_summer_school_2023 https://data-nautilos-h2020.eu/erddap/tabledap/nautilos_summer_school_2023.graph https://data-nautilos-h2020.eu/erddap/files/nautilos_summer_school_2023/ NAUTILOS - Marine Litter - NAUTILOS Summer School 2023 Marine litter collected during the NAUTILOS Summer School beach clena up experience\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntype\nnumber\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/nautilos_summer_school_2023_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/nautilos_summer_school_2023_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/nautilos_summer_school_2023/index.htmlTable https://www.nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/nautilos_summer_school_2023.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=nautilos_summer_school_2023&showErrors=false&email= NAUTILOS nautilos_summer_school_2023
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/brizo.subset https://data-nautilos-h2020.eu/erddap/tabledap/brizo https://data-nautilos-h2020.eu/erddap/tabledap/brizo.graph https://data-nautilos-h2020.eu/erddap/files/brizo/ NAUTILOS - NRT Surface Temperature collected with Brizo citizen science tracker NRT Surface Temperature collected in citizen science campaigns by using Brizo traker\n\ncdm_data_type = Trajectory\nVARIABLES:\nplatformcode\nmission\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntemperature (degree_Celsius)\ntimestamp (seconds since 1970-01-01T00:00:00Z)\nauthor\ncommand\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/brizo_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/brizo_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/brizo/index.htmlTable https://www.nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/brizo.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=brizo&showErrors=false&email= ETT S.p.A. brizo
https://data-nautilos-h2020.eu/erddap/tabledap/passive_acoustic_sensor_aquatec_test https://data-nautilos-h2020.eu/erddap/tabledap/passive_acoustic_sensor_aquatec_test.graph https://data-nautilos-h2020.eu/erddap/files/passive_acoustic_sensor_aquatec_test/ NAUTILOS - Passive Acoustic Sensor - Aquatec - Test The dataset originates from a state-of-the-art Passive Broadband Recorder, a cutting-edge passive acoustic sensor designed to monitor underwater soundscapes across diverse aquatic environments. With a wide 150kHz bandwidth, the recorder captures high-resolution marine sounds, supporting research in marine mammal behavior, sea ice dynamics, seismic activity, and anthropogenic noise impacts. This versatile technology enables detailed acoustic analysis, offering valuable insights into underwater ecosystems and advancing the field of marine science.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID\ntime (seconds since 1970-01-01T00:00:00Z)\nelapsedTime (Elapsed Time, second)\nlatitude (degrees_north)\nlongitude (degrees_east)\nchannel_1 (Channel 1 384kHz)\nfile_name (Audio file name)\nQC\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/passive_acoustic_sensor_aquatec_test_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/passive_acoustic_sensor_aquatec_test_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/passive_acoustic_sensor_aquatec_test/index.htmlTable https://nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/passive_acoustic_sensor_aquatec_test.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=passive_acoustic_sensor_aquatec_test&showErrors=false&email= Aquatec passive_acoustic_sensor_aquatec_test
https://data-nautilos-h2020.eu/erddap/griddap/plasticMED10AM110_hcmr https://data-nautilos-h2020.eu/erddap/griddap/plasticMED10AM110_hcmr.graph https://data-nautilos-h2020.eu/erddap/wms/plasticMED10AM110_hcmr/request https://data-nautilos-h2020.eu/erddap/files/plasticMED10AM110_hcmr/ NAUTILOS - Plastic Med10 Assimilation Model of 110 Uniform Scattered TEM/SAL Profiles (2010) - HCMR Simulated sea surface plastics concentration in Med. Sea (1/10 x 1/10)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nmicro300 (Microplastics Concentration(>300Um), items/km2)\nmacro20 (Macroplastics Concentration(>20Cm), items/km2)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/plasticMED10AM110_hcmr_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/plasticMED10AM110_hcmr_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/plasticMED10AM110_hcmr/index.htmlTable https://nautilos-h2020.eu/data-portal/ (external link) https://data-nautilos-h2020.eu/erddap/rss/plasticMED10AM110_hcmr.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=plasticMED10AM110_hcmr&showErrors=false&email= HCMR plasticMED10AM110_hcmr
https://data-nautilos-h2020.eu/erddap/griddap/plasticMED10AM78_hcmr https://data-nautilos-h2020.eu/erddap/griddap/plasticMED10AM78_hcmr.graph https://data-nautilos-h2020.eu/erddap/wms/plasticMED10AM78_hcmr/request https://data-nautilos-h2020.eu/erddap/files/plasticMED10AM78_hcmr/ NAUTILOS - Plastic Med10 Assimilation Model of 78 Uniform Scattered TEM/SAL Profiles (2010) - HCMR Simulated sea surface plastics concentration in Med. Sea (1/10 x 1/10)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nmicro300 (Microplastics Concentration(>300Um), items/km2)\nmacro20 (Macroplastics Concentration(>20Cm), items/km2)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/plasticMED10AM78_hcmr_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/plasticMED10AM78_hcmr_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/plasticMED10AM78_hcmr/index.htmlTable https://nautilos-h2020.eu/data-portal/ (external link) https://data-nautilos-h2020.eu/erddap/rss/plasticMED10AM78_hcmr.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=plasticMED10AM78_hcmr&showErrors=false&email= HCMR plasticMED10AM78_hcmr
https://data-nautilos-h2020.eu/erddap/griddap/plasticMED10FM_hcmr https://data-nautilos-h2020.eu/erddap/griddap/plasticMED10FM_hcmr.graph https://data-nautilos-h2020.eu/erddap/wms/plasticMED10FM_hcmr/request https://data-nautilos-h2020.eu/erddap/files/plasticMED10FM_hcmr/ NAUTILOS - Plastic Med10 Forecast Model (2010) - HCMR Simulated sea surface plastics concentration in Med. Sea (1/10 x 1/10)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nmicro300 (Microplastics Concentration(>300Um), items/km2)\nmacro20 (Macroplastics Concentration(>20Cm), items/km2)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/plasticMED10FM_hcmr_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/plasticMED10FM_hcmr_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/plasticMED10FM_hcmr/index.htmlTable https://nautilos-h2020.eu/data-portal/ (external link) https://data-nautilos-h2020.eu/erddap/rss/plasticMED10FM_hcmr.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=plasticMED10FM_hcmr&showErrors=false&email= HCMR plasticMED10FM_hcmr
https://data-nautilos-h2020.eu/erddap/griddap/plasticMED10NR_hcmr https://data-nautilos-h2020.eu/erddap/griddap/plasticMED10NR_hcmr.graph https://data-nautilos-h2020.eu/erddap/wms/plasticMED10NR_hcmr/request https://data-nautilos-h2020.eu/erddap/files/plasticMED10NR_hcmr/ NAUTILOS - Plastic Med10 Nature Run (2010) - HCMR Simulated sea surface plastics concentration in Med. Sea (1/10 x 1/10)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nmicro300 (Microplastics Concentration(>300Um), items/km2)\nmacro20 (Macroplastics Concentration(>20Cm), items/km2)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/plasticMED10NR_hcmr_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/plasticMED10NR_hcmr_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/plasticMED10NR_hcmr/index.htmlTable https://nautilos-h2020.eu/data-portal/ (external link) https://data-nautilos-h2020.eu/erddap/rss/plasticMED10NR_hcmr.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=plasticMED10NR_hcmr&showErrors=false&email= HCMR plasticMED10NR_hcmr
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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