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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/carbonate_pCO2_niva_test https://data-nautilos-h2020.eu/erddap/tabledap/carbonate_pCO2_niva_test.graph https://data-nautilos-h2020.eu/erddap/files/carbonate_pCO2_niva_test/ NAUTILOS - Carbonate pCO2 - NIVA - Test NAUTILOS - Carbonate pCO2 - NIVA - Test\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nco2 (ppm)\ntemp (Temperature, degree_Celsius)\n https://data-nautilos-h2020.eu/erddap/info/carbonate_pCO2_niva_test/index.htmlTable https://nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/carbonate_pCO2_niva_test.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=carbonate_pCO2_niva_test&showErrors=false&email= NIVA carbonate_pCO2_niva_test
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/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/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/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/griddap/hydroSOMA_model_daily_1km_1_ualg https://data-nautilos-h2020.eu/erddap/griddap/hydroSOMA_model_daily_1km_1_ualg.graph https://data-nautilos-h2020.eu/erddap/wms/hydroSOMA_model_daily_1km_1_ualg/request NAUTILOS - SOMA daily averaged 3D fields forecast (DAILY 3D 1km best) [time][depth][latitude][longitude], 2022-present - UAlg SOMA daily averaged 3D fields forecast (DAILY 3D 1km best)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nuo (Eastward velocity, m s-1)\nvo (Northward velocity, m s-1)\nwo (Vertical velocity, m s-1)\nthetao (Temperature, degree_C)\nso (Salinity, PSU)\nrho (Density, kg m3-1)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/hydroSOMA_model_daily_1km_1_ualg_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/hydroSOMA_model_daily_1km_1_ualg_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/hydroSOMA_model_daily_1km_1_ualg/index.htmlTable https://soma.ualg.pt (external link) https://data-nautilos-h2020.eu/erddap/rss/hydroSOMA_model_daily_1km_1_ualg.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=hydroSOMA_model_daily_1km_1_ualg&showErrors=false&email= UAlg hydroSOMA_model_daily_1km_1_ualg
https://data-nautilos-h2020.eu/erddap/griddap/hydroSOMA_model_daily_2km_1_ualg https://data-nautilos-h2020.eu/erddap/griddap/hydroSOMA_model_daily_2km_1_ualg.graph https://data-nautilos-h2020.eu/erddap/wms/hydroSOMA_model_daily_2km_1_ualg/request NAUTILOS - SOMA daily averaged 3D fields forecast (DAILY 3D 2km best) [time][depth][latitude][longitude], 2022-present - UAlg SOMA daily averaged 3D fields forecast (DAILY 3D 2km best)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nuo (Eastward velocity, m s-1)\nvo (Northward velocity, m s-1)\nwo (Vertical velocity, m s-1)\nthetao (Temperature, degree_C)\nso (Salinity, PSU)\nrho (Density, kg m3-1)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/hydroSOMA_model_daily_2km_1_ualg_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/hydroSOMA_model_daily_2km_1_ualg_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/hydroSOMA_model_daily_2km_1_ualg/index.htmlTable https://soma.ualg.pt (external link) https://data-nautilos-h2020.eu/erddap/rss/hydroSOMA_model_daily_2km_1_ualg.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=hydroSOMA_model_daily_2km_1_ualg&showErrors=false&email= UAlg hydroSOMA_model_daily_2km_1_ualg
https://data-nautilos-h2020.eu/erddap/griddap/hydroSOMA_model_hourly_surf_1km_1_ualg https://data-nautilos-h2020.eu/erddap/griddap/hydroSOMA_model_hourly_surf_1km_1_ualg.graph https://data-nautilos-h2020.eu/erddap/wms/hydroSOMA_model_hourly_surf_1km_1_ualg/request NAUTILOS - SOMA hourly averaged 2D fields forecast (HOURLY SURFACE 1km best) [time][depth][latitude][longitude], 2022-present - UAlg SOMA hourly averaged 2D fields forecast (HOURLY SURFACE 1km best)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nuo (Eastward velocity, m s-1)\nvo (Northward velocity, m s-1)\nwo (Vertical velocity, m s-1)\nthetao (Temperature, degree_C)\nso (Salinity, PSU)\nrho (Density, kg m3-1)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/hydroSOMA_model_hourly_surf_1km_1_ualg_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/hydroSOMA_model_hourly_surf_1km_1_ualg_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/hydroSOMA_model_hourly_surf_1km_1_ualg/index.htmlTable https://soma.ualg.pt (external link) https://data-nautilos-h2020.eu/erddap/rss/hydroSOMA_model_hourly_surf_1km_1_ualg.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=hydroSOMA_model_hourly_surf_1km_1_ualg&showErrors=false&email= UAlg hydroSOMA_model_hourly_surf_1km_1_ualg
https://data-nautilos-h2020.eu/erddap/griddap/hydroSOMA_model_hourly_surf_2km_1_ualg https://data-nautilos-h2020.eu/erddap/griddap/hydroSOMA_model_hourly_surf_2km_1_ualg.graph https://data-nautilos-h2020.eu/erddap/wms/hydroSOMA_model_hourly_surf_2km_1_ualg/request NAUTILOS - SOMA hourly averaged 2D fields forecast (HOURLY SURFACE 2km best) [time][depth][latitude][longitude], 2022-present - UAlg SOMA hourly averaged 2D fields forecast (HOURLY SURFACE 2km best)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nuo (Eastward velocity, m s-1)\nvo (Northward velocity, m s-1)\nwo (Vertical velocity, m s-1)\nthetao (Temperature, degree_C)\nso (Salinity, PSU)\nrho (Density, kg m3-1)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/hydroSOMA_model_hourly_surf_2km_1_ualg_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/hydroSOMA_model_hourly_surf_2km_1_ualg_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/hydroSOMA_model_hourly_surf_2km_1_ualg/index.htmlTable https://soma.ualg.pt (external link) https://data-nautilos-h2020.eu/erddap/rss/hydroSOMA_model_hourly_surf_2km_1_ualg.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=hydroSOMA_model_hourly_surf_2km_1_ualg&showErrors=false&email= UAlg hydroSOMA_model_hourly_surf_2km_1_ualg
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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