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

 
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