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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/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/lif_lidar_niva https://data-nautilos-h2020.eu/erddap/tabledap/lif_lidar_niva.graph https://data-nautilos-h2020.eu/erddap/files/lif_lidar_niva/ NAUTILOS - Laser induced fluorescence light detecting and ranging (LIF-LIDAR) sensor - NIVA NAUTILOS - Laser induced fluorescence light detecting and ranging (LIF-LIDAR) sensor - NIVA\n\ncdm_data_type = Other\nVARIABLES:\ntime (Turner UTC, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nHeading\nCourse\nSpeedKnots (Speed Knots, nautical_mile/hour)\nSpeedMs (Speed Ms, m/s)\nChlorophyllA_Counts (Chlorophyll A Counts)\nTurbidity_Counts\nCDOM_Counts\nChl_a_mg_m3 (mg/m3)\nTurbidity_FNU\nfDOM_mgQS_l (f DOM mgQS/l)\na_WaterDepth_m (Water Depth M, meter)\nvaleportTemp (valeport Temp, degree_Celsius)\na_valeportConductivity (Sea Water Electrical Conductivity, S/m)\nvaleportPractSalinity (Sea Water Practical Salinity, PSU)\nvaleportAbsSalinity (Sea Water Practical Salinity, PSU)\ndaytime\nDate (seconds since 1970-01-01T00:00:00Z)\nVm_raman (volt)\nVm_chla (volt)\nVm_cdom (volt)\nVm_raman_b (volt)\nVm_chla_b (Concentration Of Chlorophyll In Sea Water, volt)\nVm_cdom_b (volt)\nRaman (volt)\nChla (volt)\nCdom (volt)\nlidar_chla_cal (µg/l)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/lif_lidar_niva_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/lif_lidar_niva_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/lif_lidar_niva/index.htmlTable https://data-nautilos-h2020.eu/erddap/index.html https://data-nautilos-h2020.eu/erddap/rss/lif_lidar_niva.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=lif_lidar_niva&showErrors=false&email= NIVA lif_lidar_niva
https://data-nautilos-h2020.eu/erddap/tabledap/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/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/elephant_seals_cnrs https://data-nautilos-h2020.eu/erddap/tabledap/elephant_seals_cnrs.graph https://data-nautilos-h2020.eu/erddap/files/elephant_seals_cnrs/ NAUTILOS - SRDL-CTD-Oxy animlal tag on elephant seals in Peninsula Valdes and Kerguelen Island - CNRS/SMRU Oceanographic data collected by the elephant seals equipped in Valdes peninsula in October 2021and in Kerguelen Island in October 2024 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\nstation\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_cnrs_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/elephant_seals_cnrs_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/elephant_seals_cnrs/index.htmlTable https://www.nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/elephant_seals_cnrs.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=elephant_seals_cnrs&showErrors=false&email= CNRS, SMRU elephant_seals_cnrs

 
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