griddap Subset tabledap Make A Graph wms files Title Summary FGDC ISO 19115 Info Background Info RSS Email Institution Dataset ID
https://erddap.s4raise.it/erddap/tabledap/allDatasets.subset https://erddap.s4raise.it/erddap/tabledap/allDatasets https://erddap.s4raise.it/erddap/tabledap/allDatasets.graph * The List of All Active Datasets in this ERDDAP * This dataset is a table which has a row of information for each dataset currently active in this ERDDAP. cdm_data_type = Other VARIABLES: datasetID (Dataset ID) accessible institution dataStructure (Data Structure) cdm_data_type (Common Data Model Type) class (ERDDAP Class) title minLongitude (Minimum Longitude, degrees_east) maxLongitude (Maximum Longitude, degrees_east) longitudeSpacing (Average Grid Longitude Spacing, degrees_east) minLatitude (Minimum Latitude, degrees_north) maxLatitude (Maximum Latitude, degrees_north) latitudeSpacing (Average Grid Latitude Spacing, degrees_north) minAltitude (Minimum Altitude (or negative Depth), m) maxAltitude (Maximum Altitude (or negative Depth), m) minTime (Minimum Time, seconds since 1970-01-01T00:00:00Z) maxTime (Maximum Time, seconds since 1970-01-01T00:00:00Z) timeSpacing (Average Grid Time Spacing, seconds) griddap (Base URL of OPeNDAP Grid Service) subset (URL of Subset Web Page) tabledap (Base URL of OPeNDAP Table/Sequence Service) MakeAGraph (URL of Make-A-Graph Web Page) sos (Base URL of SOS Service) wcs (Base URL of WCS Service) wms (Base URL of WMS Service) files (Base URL of "files" Service) ... (10 more variables) https://erddap.s4raise.it/erddap/info/allDatasets/index.xhtml https://erddap.s4raise.it/erddap ETT S.p.A. allDatasets
https://erddap.s4raise.it/erddap/tabledap/unige-dicca_waves_animation.subset https://erddap.s4raise.it/erddap/tabledap/unige-dicca_waves_animation https://erddap.s4raise.it/erddap/tabledap/unige-dicca_waves_animation.graph https://erddap.s4raise.it/erddap/files/unige-dicca_waves_animation/ 2 days 1.1 km resolution forecast over Liguria - Animation of waves Hourly 3-dimensional atmospheric gridded data, with a temporal coverage of 48 hours. Data cover Central and Eastern Liguria - Animation of waves cdm_data_type = Grid VARIABLES: url time (seconds since 1970-01-01T00:00:00Z) name (File Name) lastModified (Last Modified, seconds since 1970-01-01T00:00:00Z) size (bytes) fileType (File Type) https://erddap.s4raise.it/erddap/info/unige-dicca_waves_animation/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/unige-dicca_waves_animation.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_waves_animation&showErrors=false&email= UNIGE-DICCA unige-dicca_waves_animation
https://erddap.s4raise.it/erddap/tabledap/unige-dicca_wind_animation_1_1km.subset https://erddap.s4raise.it/erddap/tabledap/unige-dicca_wind_animation_1_1km https://erddap.s4raise.it/erddap/tabledap/unige-dicca_wind_animation_1_1km.graph https://erddap.s4raise.it/erddap/files/unige-dicca_wind_animation_1_1km/ 2 days 1.1 km resolution forecast over Liguria - Animation of wind Hourly 3-dimensional atmospheric gridded data, with a temporal coverage of 48 hours and a spatial resolution of 1.1 km. Data cover Central and Eastern Liguria - Animation of wind cdm_data_type = Grid VARIABLES: url time (seconds since 1970-01-01T00:00:00Z) name (File Name) lastModified (Last Modified, seconds since 1970-01-01T00:00:00Z) size (bytes) fileType (File Type) https://erddap.s4raise.it/erddap/info/unige-dicca_wind_animation_1_1km/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/unige-dicca_wind_animation_1_1km.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_wind_animation_1_1km&showErrors=false&email= UNIGE-DICCA unige-dicca_wind_animation_1_1km
https://erddap.s4raise.it/erddap/tabledap/unige-dicca_wind_animation_3_3km.subset https://erddap.s4raise.it/erddap/tabledap/unige-dicca_wind_animation_3_3km https://erddap.s4raise.it/erddap/tabledap/unige-dicca_wind_animation_3_3km.graph https://erddap.s4raise.it/erddap/files/unige-dicca_wind_animation_3_3km/ 2 days 3.3 km resolution forecast over Northern and Central Italy - Animation of wind Hourly 3-dimensional atmospheric gridded data, with a temporal coverage of 48 hours and a spatial resolution of 3.3 km. Data cover Northern and Central Italy - Animation of wind cdm_data_type = Grid VARIABLES: url time (seconds since 1970-01-01T00:00:00Z) name (File Name) lastModified (Last Modified, seconds since 1970-01-01T00:00:00Z) size (bytes) fileType (File Type) https://erddap.s4raise.it/erddap/info/unige-dicca_wind_animation_3_3km/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/unige-dicca_wind_animation_3_3km.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_wind_animation_3_3km&showErrors=false&email= UNIGE-DICCA unige-dicca_wind_animation_3_3km
https://erddap.s4raise.it/erddap/tabledap/unige-dicca_wind_animation_10km.subset https://erddap.s4raise.it/erddap/tabledap/unige-dicca_wind_animation_10km https://erddap.s4raise.it/erddap/tabledap/unige-dicca_wind_animation_10km.graph https://erddap.s4raise.it/erddap/files/unige-dicca_wind_animation_10km/ 5 days 10 km resolution forecast over Southern Europe and Mediterranean basin - Animation of wind Hourly 3-dimensional atmospheric gridded data, with a temporal coverage of 5 day and a spatial resolution of 10 km. Data cover Southern Europe and Mediterranean basin - Animation of wind cdm_data_type = Grid VARIABLES: url time (seconds since 1970-01-01T00:00:00Z) name (File Name) lastModified (Last Modified, seconds since 1970-01-01T00:00:00Z) size (bytes) fileType (File Type) https://erddap.s4raise.it/erddap/info/unige-dicca_wind_animation_10km/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/unige-dicca_wind_animation_10km.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_wind_animation_10km&showErrors=false&email= UNIGE-DICCA unige-dicca_wind_animation_10km
https://erddap.s4raise.it/erddap/tabledap/unige-dicca_dispersion_forecast_ai https://erddap.s4raise.it/erddap/tabledap/unige-dicca_dispersion_forecast_ai.graph https://erddap.s4raise.it/erddap/files/unige-dicca_dispersion_forecast_ai/ AI-based particle dispersion model The particle dispersion model used is Gnome. To drive the dispersion simulations, a neural network is first employed to model the sea current for the next six hours, using the wind and current data from the previous six hours as input. The current signal forecasted by the neural network is then used as a forcing input for Gnome to model the particle dispersion. cdm_data_type = Point VARIABLES: time (time since the beginning of the simulation, seconds since 1970-01-01T00:00:00Z) latitude (latitude of the particle, degrees_north) longitude (longitude of the particle, degrees_east) particle_count (number of particles in a given timestep, 1) mass (mass of particle, kilograms) status_codes (particle status code) age (age of particle from time of release, minutes) density (emulsion density at end of timestep, kg/m^3) spill_num (spill to which the particle belongs) surface_concentration (surface concentration of oil, g m-2) depth (particle depth below sea surface, m) id (particle ID) viscosity (emulsion viscosity at end of timestep, m^2/sec) https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-dicca_dispersion_forecast_ai_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-dicca_dispersion_forecast_ai_iso19115.xml https://erddap.s4raise.it/erddap/info/unige-dicca_dispersion_forecast_ai/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/unige-dicca_dispersion_forecast_ai.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_dispersion_forecast_ai&showErrors=false&email= UNIGE-DICCA unige-dicca_dispersion_forecast_ai
https://erddap.s4raise.it/erddap/tabledap/unige-distav_camogli_buoy_temp_curr_data https://erddap.s4raise.it/erddap/tabledap/unige-distav_camogli_buoy_temp_curr_data.graph Camogli in situ buoy sea water temperature and sub surface current data The dataset represents data automatically collected and trasmitted in real-time by in situ buoy located in Camogli cdm_data_type = Other VARIABLES: time (Timestamp, seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) sw_temperature_3m (SW Temp 3m, degree_Celsius) sw_temperature_6_5m (SW Temp 6.5m, degree_Celsius) speed_mean (Speed, cm/s) speed_std (cm/s) direction_mean (Direction, degrees_north) direction_std (degrees_north) tilt tilt_std read_count https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-distav_camogli_buoy_temp_curr_data_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-distav_camogli_buoy_temp_curr_data_iso19115.xml https://erddap.s4raise.it/erddap/info/unige-distav_camogli_buoy_temp_curr_data/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/unige-distav_camogli_buoy_temp_curr_data.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-distav_camogli_buoy_temp_curr_data&showErrors=false&email= UNIGE-DISTAV unige-distav_camogli_buoy_temp_curr_data
https://erddap.s4raise.it/erddap/tabledap/unige-distav_camogli_buoy_wave_wind_data https://erddap.s4raise.it/erddap/tabledap/unige-distav_camogli_buoy_wave_wind_data.graph Camogli in situ Camogli buoy wave and wind data The dataset represents data automatically collected and trasmitted in real-time by in situ buoy located in Camogli cdm_data_type = Other VARIABLES: time (Timestamp, seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) significantWaveHeight (Significant Wave Height, m) peakPeriod (Wave Peak Period, s) meanPeriod (Wave Mean Period, s) peakDirection (Wave Peak Direction, degrees) meanDirection (Wave Mean Direction, degrees) peakDirectionalSpread (Wave Peak Directional Spread, degrees) meanDirectionalSpread (Wave Mean Directional Spread, degrees) wind_direction (degrees_north) wind_speed (m/s) air_pressure (Barometric Pressure, hPa) surfaceTemp (Surface Temp, degree_C) https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-distav_camogli_buoy_wave_wind_data_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-distav_camogli_buoy_wave_wind_data_iso19115.xml https://erddap.s4raise.it/erddap/info/unige-distav_camogli_buoy_wave_wind_data/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/unige-distav_camogli_buoy_wave_wind_data.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-distav_camogli_buoy_wave_wind_data&showErrors=false&email= UNIGE-DISTAV unige-distav_camogli_buoy_wave_wind_data
https://erddap.s4raise.it/erddap/tabledap/algawarning.subset https://erddap.s4raise.it/erddap/tabledap/algawarning https://erddap.s4raise.it/erddap/tabledap/algawarning.graph collection of algal photos collected by the @lgawarning platform - algal bloom participatory environmental monitoring system The @lgawarning platform aims to collect environmental monitoring system for algal blooms, enabling users to transmit reports on the anomalous presence of microalgae in aquatic environments directly from the observation site cdm_data_type = Point VARIABLES: time (seconds since 1970-01-01T00:00:00Z) site_name (Position) latitude (degrees_north) longitude (degrees_east) algae_type (Type) description sample_volume (Volume, ml) operator_id (User) image https://erddap.s4raise.it/erddap/metadata/fgdc/xml/algawarning_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/algawarning_iso19115.xml https://erddap.s4raise.it/erddap/info/algawarning/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/algawarning.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=algawarning&showErrors=false&email= ETT algawarning
https://erddap.s4raise.it/erddap/tabledap/cesp https://erddap.s4raise.it/erddap/tabledap/cesp.graph https://erddap.s4raise.it/erddap/files/cesp/ Collection of plastic litter photos collected by the Custodians Earth Solution Platform (CESP) The Custodians Earth Solution Platform (CESP) app collects photographic reports of plastic litter as part of a BioDesign Foundation initiative to support environmental cleanup efforts. Developed under the RAISE program and tested in real-world operations, CESP enables the acquisition of georeferenced data that are processed to produce maps illustrating the presence and spatial distribution of plastic litter in urban environments. cdm_data_type = Other VARIABLES: time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) event event_description description image https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cesp_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cesp_iso19115.xml https://erddap.s4raise.it/erddap/info/cesp/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/cesp.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cesp&showErrors=false&email= ETT cesp
https://erddap.s4raise.it/erddap/tabledap/ingv_earthquakes.subset https://erddap.s4raise.it/erddap/tabledap/ingv_earthquakes https://erddap.s4raise.it/erddap/tabledap/ingv_earthquakes.graph https://erddap.s4raise.it/erddap/files/ingv_earthquakes/ Data from a local source. Data from a local source. cdm_data_type = Point VARIABLES: EventID (Event ID) time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) Depth_Km (Depth) Author Catalog Contributor ContributorID (Contributor ID) MagType (Mag Type) Magnitude MagAuthor (Mag Author) EventLocationName (Event Location Name) https://erddap.s4raise.it/erddap/metadata/fgdc/xml/ingv_earthquakes_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/ingv_earthquakes_iso19115.xml https://erddap.s4raise.it/erddap/info/ingv_earthquakes/index.xhtml ??? https://erddap.s4raise.it/erddap/rss/ingv_earthquakes.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=ingv_earthquakes&showErrors=false&email= ??? ingv_earthquakes
https://erddap.s4raise.it/erddap/tabledap/noaa_wind_animation_10km.subset https://erddap.s4raise.it/erddap/tabledap/noaa_wind_animation_10km https://erddap.s4raise.it/erddap/tabledap/noaa_wind_animation_10km.graph https://erddap.s4raise.it/erddap/files/noaa_wind_animation_10km/ Global Forecast System (GFS) model - Animation of wind Global Forecast System (GFS) model - Animation of wind cdm_data_type = Grid VARIABLES: url time (seconds since 1970-01-01T00:00:00Z) name (File Name) lastModified (Last Modified, seconds since 1970-01-01T00:00:00Z) size (bytes) fileType (File Type) https://erddap.s4raise.it/erddap/info/noaa_wind_animation_10km/index.xhtml ??? https://erddap.s4raise.it/erddap/rss/noaa_wind_animation_10km.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=noaa_wind_animation_10km&showErrors=false&email= NOAA noaa_wind_animation_10km
https://erddap.s4raise.it/erddap/tabledap/acronet.subset https://erddap.s4raise.it/erddap/tabledap/acronet https://erddap.s4raise.it/erddap/tabledap/acronet.graph I-Change Acronet Data I-Change Acronet Data. CIMAFOUNDATION data from a local source. cdm_data_type = Point VARIABLES: time (Valid Time GMT, seconds since 1970-01-01T00:00:00Z) STATION_ID STATION_NAME latitude (degrees_north) longitude (degrees_east) RAINGAUGE (mm) TEMP (Temperature, degree_C) HUMIDITY (relative_humidity, percent) WSPEED (wind_speed) PRESS (air_pressure) WSPEED_GUST (wind_speed_of_gust) https://erddap.s4raise.it/erddap/metadata/fgdc/xml/acronet_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/acronet_iso19115.xml https://erddap.s4raise.it/erddap/info/acronet/index.xhtml https://www.cimafoundation.org/progetto/i-change/ https://erddap.s4raise.it/erddap/rss/acronet.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=acronet&showErrors=false&email= CIMAFOUNDATION acronet
https://erddap.s4raise.it/erddap/tabledap/MEDA2_CTD_ALL_RAW https://erddap.s4raise.it/erddap/tabledap/MEDA2_CTD_ALL_RAW.graph In situ CTD instrument at 3m depth - eLTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015) - all raw data The dataset represents raw data automatically collected and trasmitted in real-time by in situ CTD instrument at 3m depth, installed on the Meda2 buoy located in the eLTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015). cdm_data_type = Other VARIABLES: date hour time (seconds since 1970-01-01T00:00:00Z) time_cet (seconds since 1970-01-01T00:00:00Z) Press Temp (Temperature) Cond Sal (Sal.) sensor_id https://erddap.s4raise.it/erddap/info/MEDA2_CTD_ALL_RAW/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/MEDA2_CTD_ALL_RAW.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=MEDA2_CTD_ALL_RAW&showErrors=false&email= UNIGE-DISTAV MEDA2_CTD_ALL_RAW
https://erddap.s4raise.it/erddap/tabledap/MEDA2_CTD_LAST_RAW https://erddap.s4raise.it/erddap/tabledap/MEDA2_CTD_LAST_RAW.graph In situ CTD instrument at 3m depth - LTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015) - last row data The dataset represents last raw data automatically collected and trasmitted in real-time by in situ CTD instrument at 3m depth, installed on the Meda2 buoy located in the LTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015). cdm_data_type = Other VARIABLES: date hour time (seconds since 1970-01-01T00:00:00Z) time_cet (seconds since 1970-01-01T00:00:00Z) Press Temp (Temperature) Cond Sal (Sal.) sensor_id https://erddap.s4raise.it/erddap/info/MEDA2_CTD_LAST_RAW/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/MEDA2_CTD_LAST_RAW.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=MEDA2_CTD_LAST_RAW&showErrors=false&email= UNIGE-DISTAV MEDA2_CTD_LAST_RAW
https://erddap.s4raise.it/erddap/tabledap/MEDA2_CURR.subset https://erddap.s4raise.it/erddap/tabledap/MEDA2_CURR https://erddap.s4raise.it/erddap/tabledap/MEDA2_CURR.graph https://erddap.s4raise.it/erddap/files/MEDA2_CURR/ In situ current in the water column - Nortek AWAC 1Mhz ADCP positioned at a depth of 10m - LTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015) The dataset represents data automatically collected and trasmitted in real-time by in situ ADCP instrument at 10m depth, installed on the Meda2 buoy located in the LTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015). cdm_data_type = Other VARIABLES: PLATFORMCODE String_ID time (seconds since 1970-01-01T00:00:00Z) time_cet (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) depth (m) Date (seconds since 1970-01-01T00:00:00Z) Time Cell_number EWCT (West-east current component, m/s) NSCT (South-north current component, m/s) UVCT (Upward current velocity, m/s) Speed (m/s) Direction (degrees) https://erddap.s4raise.it/erddap/metadata/fgdc/xml/MEDA2_CURR_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/MEDA2_CURR_iso19115.xml https://erddap.s4raise.it/erddap/info/MEDA2_CURR/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/MEDA2_CURR.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=MEDA2_CURR&showErrors=false&email= UNIGE-DISTAV MEDA2_CURR
https://erddap.s4raise.it/erddap/tabledap/MEDA2_WEATHER_STATION https://erddap.s4raise.it/erddap/tabledap/MEDA2_WEATHER_STATION.graph https://erddap.s4raise.it/erddap/files/MEDA2_WEATHER_STATION/ In situ Theodor Friedrichs meteorological station at 7m amsl - LTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015) The dataset represents data automatically collected and trasmitted in real-time by in situ meteorological station at 7m amsl, installed on the Meda2 buoy located in the LTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015) cdm_data_type = Other VARIABLES: PLATFORMCODE String_ID time (seconds since 1970-01-01T00:00:00Z) time_cet (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) Date (seconds since 1970-01-01T00:00:00Z) Time AIR_PRES (Aire Pressure) WSPD (Wind Speed, m/s) WDIR (Direction relative to true north from which the wind is blowing, degrees_north) AIR_TEMP (Air temperature, degrees_Celsius) Humidity (Relative humidity) PSAL (Salinity, psu) https://erddap.s4raise.it/erddap/metadata/fgdc/xml/MEDA2_WEATHER_STATION_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/MEDA2_WEATHER_STATION_iso19115.xml https://erddap.s4raise.it/erddap/info/MEDA2_WEATHER_STATION/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/MEDA2_WEATHER_STATION.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=MEDA2_WEATHER_STATION&showErrors=false&email= UNIGE-DISTAV MEDA2_WEATHER_STATION
https://erddap.s4raise.it/erddap/tabledap/MEDA2_WAVE_SINGLEPOINT https://erddap.s4raise.it/erddap/tabledap/MEDA2_WAVE_SINGLEPOINT.graph https://erddap.s4raise.it/erddap/files/MEDA2_WAVE_SINGLEPOINT/ In situ wave - Keller High Accuracy OEM Pressure Transmitter positioned at a depth of 10m - LTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015) The dataset represents data automatically collected and trasmitted in real-time by in situ pressure transmitter positioned at a depth of 10m, installed on the Meda2 buoy located in the LTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015). cdm_data_type = Other VARIABLES: PLATFORMCODE String_ID time (seconds since 1970-01-01T00:00:00Z) time_cet (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) Date (seconds since 1970-01-01T00:00:00Z) Time spectrum_type processing_method VGHS (HM0 significant wave height, m) H3 (H3 Mean 1/3 Height, m) H10 (H3 Mean 1/10 Height, m) Hmax (Maximum Height, m) Tm02 (Mean Period, s) Tp (Peak Period, s) Tz (Mean Zero-crossing Period, s) DirTp (Peak Direction, degrees_north) SprTp (Directional Spread, degrees_north) Mdir (Mean Direction, degrees_north) https://erddap.s4raise.it/erddap/metadata/fgdc/xml/MEDA2_WAVE_SINGLEPOINT_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/MEDA2_WAVE_SINGLEPOINT_iso19115.xml https://erddap.s4raise.it/erddap/info/MEDA2_WAVE_SINGLEPOINT/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/MEDA2_WAVE_SINGLEPOINT.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=MEDA2_WAVE_SINGLEPOINT&showErrors=false&email= UNIGE-DISTAV MEDA2_WAVE_SINGLEPOINT
https://erddap.s4raise.it/erddap/tabledap/MEDA2_WAVE https://erddap.s4raise.it/erddap/tabledap/MEDA2_WAVE.graph https://erddap.s4raise.it/erddap/files/MEDA2_WAVE/ In situ wave - Nortek AWAC 1Mhz ADCP positioned at a depth of 10m - LTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015) The dataset represents data automatically collected and trasmitted in real-time by in situ ADCP instrument at 10m depth, installed on the Meda2 buoy located in the LTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015). cdm_data_type = Other VARIABLES: PLATFORMCODE String_ID time (seconds since 1970-01-01T00:00:00Z) time_cet (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) Date (seconds since 1970-01-01T00:00:00Z) Time spectrum_type processing_method VGHS (HM0 significant wave height, m) H3 (H3 Mean 1/3 Height, m) H10 (H3 Mean 1/10 Height, m) Hmax (Maximum Height, m) Tm02 (Mean Period, s) Tp (Peak Period, s) Tz (Mean Zero-crossing Period, s) DirTp (Peak Direction, degrees_north) SprTp (Directional Spread, degrees_north) Mdir (Mean Direction, degrees_north) https://erddap.s4raise.it/erddap/metadata/fgdc/xml/MEDA2_WAVE_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/MEDA2_WAVE_iso19115.xml https://erddap.s4raise.it/erddap/info/MEDA2_WAVE/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/MEDA2_WAVE.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=MEDA2_WAVE&showErrors=false&email= UNIGE-DISTAV MEDA2_WAVE
https://erddap.s4raise.it/erddap/tabledap/XBT_ENEA_DATA.subset https://erddap.s4raise.it/erddap/tabledap/XBT_ENEA_DATA https://erddap.s4raise.it/erddap/tabledap/XBT_ENEA_DATA.graph https://erddap.s4raise.it/erddap/files/XBT_ENEA_DATA/ INGVXBT - Collection of sea temperature (TEMP) Profiles - IN SITU MultiPointProfilesObservation INGVXBT - Collection of sea temperature (TEMP) Profiles - IN SITU MultiPointProfilesObservation cdm_data_type = Profile VARIABLES: PLATFORMCODE (EMODnet Platform Code) SOURCE SENSOR (Platform Sensor) time (Valid Time GMT, seconds since 1970-01-01T00:00:00Z) TIME_QC (TIME quality flag, 1) depth (m) DEPTH_QC (DEPTH quality flag, 1) latitude (degrees_north) longitude (degrees_east) POSITION_QC (POSITION quality flag, 1) TEMP (water temperature, degree_Celsius) TEMP_QC (TEMP quality flag, 1) TEMP_DM (TEMP method of data processing) url_metadata (Metadata Link) qc_entity https://erddap.s4raise.it/erddap/metadata/fgdc/xml/XBT_ENEA_DATA_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/XBT_ENEA_DATA_iso19115.xml https://erddap.s4raise.it/erddap/info/XBT_ENEA_DATA/index.xhtml http://www.emodnet-physics.eu https://erddap.s4raise.it/erddap/rss/XBT_ENEA_DATA.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=XBT_ENEA_DATA&showErrors=false&email= INGVXBT XBT_ENEA_DATA
https://erddap.s4raise.it/erddap/tabledap/XBT_ENEA_METADATA.subset https://erddap.s4raise.it/erddap/tabledap/XBT_ENEA_METADATA https://erddap.s4raise.it/erddap/tabledap/XBT_ENEA_METADATA.graph https://erddap.s4raise.it/erddap/files/XBT_ENEA_METADATA/ INGVXBT - Collection of sea temperature (TEMP) Profiles - METADATA INGVXBT - Collection of sea temperature (TEMP) Profiles - METADATA cdm_data_type = Other VARIABLES: PLATFORMCODE (EMODNET Platform Code) call_name (Platform Call Name) latitude (degrees_north) longitude (degrees_east) dataFeatureType firstDateObservation (First Date Observation, seconds since 1970-01-01T00:00:00Z) lastDateObservation (Last Date Observation, seconds since 1970-01-01T00:00:00Z) parameters_group_longname (Parameters Info Parameter Groups) parameters_group_P33 (Parameters Info P33) parameters (Parameters Info Parameters) parameters_P01 (Parameters Info P01) WMO data_DOI best_practices_DOI data_owner_longname (Data Owner Name) data_owner_country_code data_owner_country_longname (Data Owner Country Name) data_owner_EDMO (Data Owner EDMO Code) data_assembly_center_longname (Data Assembly Center) platform_type_longname (Platform Type) platform_type_SDNL06 platformpage_link integrator_id IntegrationDate (Integration Date, seconds since 1970-01-01T00:00:00Z) ingestion official_repository https://erddap.s4raise.it/erddap/metadata/fgdc/xml/XBT_ENEA_METADATA_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/XBT_ENEA_METADATA_iso19115.xml https://erddap.s4raise.it/erddap/info/XBT_ENEA_METADATA/index.xhtml http://www.emodnet-physics.eu https://erddap.s4raise.it/erddap/rss/XBT_ENEA_METADATA.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=XBT_ENEA_METADATA&showErrors=false&email= INGVXBT XBT_ENEA_METADATA
https://erddap.s4raise.it/erddap/tabledap/cnr-ismar_dispersion_model_portofino_2022 https://erddap.s4raise.it/erddap/tabledap/cnr-ismar_dispersion_model_portofino_2022.graph https://erddap.s4raise.it/erddap/files/cnr-ismar_dispersion_model_portofino_2022/ Lagrangian dispersal around the Portofino promontory Italy for the month of July 2022 During July 2022, a Lagrangian dispersal experiment was carried out around the Portofino Promontory (Italy) to simulate the summer dynamics of gelatinous organism blooms. Virtual particles were released in the coastal circulation field to represent the transport and spreading of these organisms under typical seasonal current conditions. The resulting trajectories highlight how coastal currents can rapidly redistribute biological material along the Portofino coastline, illustrating the potential spatial extent and coastal impact of gelatinous blooms during summer. cdm_data_type = Point VARIABLES: time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cnr-ismar_dispersion_model_portofino_2022_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cnr-ismar_dispersion_model_portofino_2022_iso19115.xml https://erddap.s4raise.it/erddap/info/cnr-ismar_dispersion_model_portofino_2022/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/cnr-ismar_dispersion_model_portofino_2022.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cnr-ismar_dispersion_model_portofino_2022&showErrors=false&email= CNR-ISMAR cnr-ismar_dispersion_model_portofino_2022
https://erddap.s4raise.it/erddap/tabledap/MEDA2_CTD_TEST https://erddap.s4raise.it/erddap/tabledap/MEDA2_CTD_TEST.graph https://erddap.s4raise.it/erddap/files/MEDA2_CTD_TEST/ LTER_EU_IT_015_MEDA2 - CTD LTER_EU_IT_015_MEDA2 - CTD cdm_data_type = Other VARIABLES: PLATFORMCODE String_ID time (seconds since 1970-01-01T00:00:00Z) time_cet (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) date hour Press Temp (Temperature) Cond Sal (Sal.) https://erddap.s4raise.it/erddap/metadata/fgdc/xml/MEDA2_CTD_TEST_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/MEDA2_CTD_TEST_iso19115.xml https://erddap.s4raise.it/erddap/info/MEDA2_CTD_TEST/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/MEDA2_CTD_TEST.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=MEDA2_CTD_TEST&showErrors=false&email= UNIGE-DISTAV MEDA2_CTD_TEST
https://erddap.s4raise.it/erddap/tabledap/cnr-ismar_guard1_0002 https://erddap.s4raise.it/erddap/tabledap/cnr-ismar_guard1_0002.graph https://erddap.s4raise.it/erddap/files/cnr-ismar_guard1_0002/ Meda 2 Image Dataset - Portofino - Station 0002 The dataset consits of underwater images showing fish and jellyfish activities in the marine protected area of Portofino (GE). The images are acquired by the autonomous and intelligent imaging device GUARD-1, installed on a Meda buoy in front of Punta Faro, Portofino. The GUARD-1 is deployed at 3m depth and consists of an underwater camera equipped with a lighiting system that allow the image acquisition 24h per day. The device is also equipped with an onboard AI-based image analysis tool capable to recognize the fish and the jellyfish specimens in order to automatically extract abundance time series and to select images with relevant content. The GUARD-1 device is connected to a 4G modem positioned on the Meda buoy, inside a watertight case, that transmit the acquired images together with information extracted by the AI-based tool. Both the image acquisition frequency and the data transmission frequency are programmable by the user and can be managed through a remote connection or automatically by the AI-based tool. cdm_data_type = Other VARIABLES: time (seconds since 1970-01-01T00:00:00Z) name latitude (degrees_north) longitude (degrees_east) url https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cnr-ismar_guard1_0002_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cnr-ismar_guard1_0002_iso19115.xml https://erddap.s4raise.it/erddap/info/cnr-ismar_guard1_0002/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/cnr-ismar_guard1_0002.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cnr-ismar_guard1_0002&showErrors=false&email= CNR-ISMAR cnr-ismar_guard1_0002
https://erddap.s4raise.it/erddap/tabledap/meteotracker_navebus.subset https://erddap.s4raise.it/erddap/tabledap/meteotracker_navebus https://erddap.s4raise.it/erddap/tabledap/meteotracker_navebus.graph Meteorological data collected by Genoa boat-bus activities using the MeteoTracker device Collection of meteorological data from the MeteoTracker device. MeteoTracker is a low cost tool for participatory science. RAISE developed the data ingestion, data processing and workflow automation for offering added value datasets. cdm_data_type = Point VARIABLES: time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) altitude (m) speed temperature humidity pressure dew_point solar_radiation_index humidex tag potential_temperature D https://erddap.s4raise.it/erddap/metadata/fgdc/xml/meteotracker_navebus_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/meteotracker_navebus_iso19115.xml https://erddap.s4raise.it/erddap/info/meteotracker_navebus/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/meteotracker_navebus.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=meteotracker_navebus&showErrors=false&email= ETT meteotracker_navebus
https://erddap.s4raise.it/erddap/tabledap/meteotracker_bus.subset https://erddap.s4raise.it/erddap/tabledap/meteotracker_bus https://erddap.s4raise.it/erddap/tabledap/meteotracker_bus.graph Meteorological data collected by Genoa bus activities using the MeteoTracker device Collection of meteorological data from the MeteoTracker device. MeteoTracker is a low cost tool for participatory science. RAISE developed the data ingestion, data processing and workflow automation for offering added value datasets. cdm_data_type = Point VARIABLES: time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) altitude (m) speed carbon_dioxide pressure humidity temperature dew_point humidex potential_temperature tag D vertical_temperature_gradient solar_radiation_index https://erddap.s4raise.it/erddap/metadata/fgdc/xml/meteotracker_bus_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/meteotracker_bus_iso19115.xml https://erddap.s4raise.it/erddap/info/meteotracker_bus/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/meteotracker_bus.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=meteotracker_bus&showErrors=false&email= ETT meteotracker_bus
https://erddap.s4raise.it/erddap/tabledap/meteotracker_becis.subset https://erddap.s4raise.it/erddap/tabledap/meteotracker_becis https://erddap.s4raise.it/erddap/tabledap/meteotracker_becis.graph Meteorological data collected during Citizen Science activities using the MeteoTracker device Collection of meteorological data from the MeteoTracker device. MeteoTracker is a low cost tool for participatory science. RAISE developed the data ingestion, data processing and workflow automation for offering added value datasets. cdm_data_type = Point VARIABLES: time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) altitude (m) speed temperature humidity pressure dew_point solar_radiation_index humidex tag vertical_temperature_gradient potential_temperature D https://erddap.s4raise.it/erddap/metadata/fgdc/xml/meteotracker_becis_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/meteotracker_becis_iso19115.xml https://erddap.s4raise.it/erddap/info/meteotracker_becis/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/meteotracker_becis.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=meteotracker_becis&showErrors=false&email= ETT meteotracker_becis
https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V23.subset https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V23 https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V23.graph Meteorological data collected during Citizen Science V23 campaign aboard the Swan Hellenic SH Vega ship Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation. cdm_data_type = Point VARIABLES: DateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z) Timezone time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) Report Voyage_state Location Voyage_name Speed_OG (kn) Speed_TW (kn) True_wind_speed (Wind Speed, Bft) Wind_direction_absolute (Wind From Direction) Wave_height (Sea Surface Wave Significant Height) Air_temperature (degree_C) Draft_midship (m) Trim (m) Distance_OG (nm) Distance_TW (nm) Speed_OG_QC Speed_TW_QC True_wind_speed_QC Wind_direction_absolute_QC (Wind Direction (absolute) QC) Wave_height_QC Air_temperature_QC ... (4 more variables) https://erddap.s4raise.it/erddap/metadata/fgdc/xml/swan_hellenic_meteocean_V23_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/swan_hellenic_meteocean_V23_iso19115.xml https://erddap.s4raise.it/erddap/info/swan_hellenic_meteocean_V23/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/swan_hellenic_meteocean_V23.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=swan_hellenic_meteocean_V23&showErrors=false&email= ETT, Swan Hellenic swan_hellenic_meteocean_V23
https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V24 https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V24.graph Meteorological data collected during Citizen Science V24 campaign aboard the Swan Hellenic SH Vega ship Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation. cdm_data_type = Point VARIABLES: DateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z) Timezone time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) Report Voyage_state Location Voyage_name Ship_Speed (kn) True_wind_speed (Wind Speed, Bft) Wind_direction_absolute (Wind From Direction) Wave_height (Sea Surface Wave Significant Height) Air_temperature (degree_C) Atmosferic_pressure (Air Pressure, hPa) Ship_Speed_kn_QC (Ship Speed [kn] QC) True_wind_speed_QC Wind_direction_absolute_QC (Wind Direction (absolute) QC) Wave_height_QC Air_temperature_QC Draft_midship_QC https://erddap.s4raise.it/erddap/metadata/fgdc/xml/swan_hellenic_meteocean_V24_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/swan_hellenic_meteocean_V24_iso19115.xml https://erddap.s4raise.it/erddap/info/swan_hellenic_meteocean_V24/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/swan_hellenic_meteocean_V24.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=swan_hellenic_meteocean_V24&showErrors=false&email= ETT, Swan Hellenic swan_hellenic_meteocean_V24
https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V25 https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V25.graph Meteorological data collected during Citizen Science V25 campaign aboard the Swan Hellenic SH Vega ship Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation. cdm_data_type = Point VARIABLES: DateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z) Timezone time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) Report Voyage_state Location Voyage_name Speed_OG (kn) Ship_Speed (kn) True_wind_speed (Wind Speed, Bft) Wind_direction_absolute (Wind From Direction) Wind_direction_true (degrees) Wave_height (Sea Surface Wave Significant Height) Air_temperature (degree_C) Atmosferic_pressure (hPa) Speed_OG_QC Ship_Speed_QC True_wind_speed_QC Wind_direction_absolute_QC (Wind Direction (absolute) QC) Wind_direction_true_QC Wave_height_QC Air_temperature_QC Atmosferic_pressure_QC https://erddap.s4raise.it/erddap/metadata/fgdc/xml/swan_hellenic_meteocean_V25_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/swan_hellenic_meteocean_V25_iso19115.xml https://erddap.s4raise.it/erddap/info/swan_hellenic_meteocean_V25/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/swan_hellenic_meteocean_V25.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=swan_hellenic_meteocean_V25&showErrors=false&email= ETT, Swan Hellenic swan_hellenic_meteocean_V25
https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V26 https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V26.graph Meteorological data collected during Citizen Science V26 campaign aboard the Swan Hellenic SH Vega ship Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation. cdm_data_type = Point VARIABLES: DateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z) Timezone time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) Report Voyage_state Location Voyage_name Speed_OG (kn) Ship_Speed (kn) True_wind_speed (Wind Speed, Bft) Wind_direction_absolute (Wind From Direction) Wind_direction_true (degrees) Wave_height (Sea Surface Wave Significant Height) Air_temperature (degree_C) Atmosferic_pressure (hPa) Speed_OG_QC Ship_Speed_QC True_wind_speed_QC Wind_direction_absolute_QC (Wind Direction (absolute) QC) Wind_direction_true_QC Wave_height_QC Air_temperature_QC Atmosferic_pressure_QC https://erddap.s4raise.it/erddap/metadata/fgdc/xml/swan_hellenic_meteocean_V26_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/swan_hellenic_meteocean_V26_iso19115.xml https://erddap.s4raise.it/erddap/info/swan_hellenic_meteocean_V26/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/swan_hellenic_meteocean_V26.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=swan_hellenic_meteocean_V26&showErrors=false&email= ETT, Swan Hellenic swan_hellenic_meteocean_V26
https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V27 https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V27.graph Meteorological data collected during Citizen Science V27 campaign aboard the Swan Hellenic SH Vega ship Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation. cdm_data_type = Point VARIABLES: DateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z) Timezone time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) Report Voyage_state Location Voyage_name Speed_OG (kn) Ship_Speed (kn) True_wind_speed (Wind Speed, Bft) Wind_direction_absolute (Wind From Direction) Wind_direction_true (degrees) Wave_height (Sea Surface Wave Significant Height) Air_temperature (degree_C) Atmosferic_pressure (hPa) Speed_OG_QC Ship_Speed_QC True_wind_speed_QC Wind_direction_absolute_QC (Wind Direction (absolute) QC) Wind_direction_true_QC Wave_height_QC Air_temperature_QC Atmosferic_pressure_QC https://erddap.s4raise.it/erddap/metadata/fgdc/xml/swan_hellenic_meteocean_V27_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/swan_hellenic_meteocean_V27_iso19115.xml https://erddap.s4raise.it/erddap/info/swan_hellenic_meteocean_V27/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/swan_hellenic_meteocean_V27.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=swan_hellenic_meteocean_V27&showErrors=false&email= ETT, Swan Hellenic swan_hellenic_meteocean_V27
https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V28 https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V28.graph Meteorological data collected during Citizen Science V28 campaign aboard the Swan Hellenic SH Vega ship Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation. cdm_data_type = Point VARIABLES: DateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z) Timezone time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) Report Voyage_state Location Voyage_name Speed_OG (kn) Ship_Speed (kn) True_wind_speed (Wind Speed, Bft) Wind_direction_absolute (Wind From Direction) Wind_direction_true (degrees) Wave_height (Sea Surface Wave Significant Height) Air_temperature (degree_C) Atmosferic_pressure (hPa) Speed_OG_QC Ship_Speed_QC True_wind_speed_QC Wind_direction_absolute_QC (Wind Direction (absolute) QC) Wind_direction_true_QC Wave_height_QC Air_temperature_QC Atmosferic_pressure_QC https://erddap.s4raise.it/erddap/metadata/fgdc/xml/swan_hellenic_meteocean_V28_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/swan_hellenic_meteocean_V28_iso19115.xml https://erddap.s4raise.it/erddap/info/swan_hellenic_meteocean_V28/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/swan_hellenic_meteocean_V28.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=swan_hellenic_meteocean_V28&showErrors=false&email= ETT, Swan Hellenic swan_hellenic_meteocean_V28
https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V29 https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V29.graph Meteorological data collected during Citizen Science V29 campaign aboard the Swan Hellenic SH Vega ship Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation. cdm_data_type = Point VARIABLES: DateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z) Timezone time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) Report Voyage_state Location Voyage_name Speed_OG (kn) Ship_Speed (kn) True_wind_speed (Wind Speed, Bft) Wind_direction_absolute (Wind From Direction) Wind_direction_true (degrees) Wave_height (Sea Surface Wave Significant Height) Air_temperature (degree_C) Atmosferic_pressure (hPa) Speed_OG_QC Ship_Speed_QC True_wind_speed_QC Wind_direction_absolute_QC (Wind Direction (absolute) QC) Wind_direction_true_QC Wave_height_QC Air_temperature_QC Atmosferic_pressure_QC https://erddap.s4raise.it/erddap/metadata/fgdc/xml/swan_hellenic_meteocean_V29_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/swan_hellenic_meteocean_V29_iso19115.xml https://erddap.s4raise.it/erddap/info/swan_hellenic_meteocean_V29/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/swan_hellenic_meteocean_V29.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=swan_hellenic_meteocean_V29&showErrors=false&email= ETT, Swan Hellenic swan_hellenic_meteocean_V29
https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V30 https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V30.graph Meteorological data collected during Citizen Science V30 campaign aboard the Swan Hellenic SH Vega ship Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation. cdm_data_type = Point VARIABLES: DateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z) Timezone time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) Report Voyage_state Location Voyage_name Speed_OG (kn) Ship_Speed (kn) True_wind_speed (Wind Speed, Bft) Wind_direction_absolute (Wind From Direction) Wind_direction_true (degrees) Wave_height (Sea Surface Wave Significant Height) Air_temperature (degree_C) Atmosferic_pressure (hPa) Speed_OG_QC Ship_Speed_QC True_wind_speed_QC Wind_direction_absolute_QC (Wind Direction (absolute) QC) Wind_direction_true_QC Wave_height_QC Air_temperature_QC Atmosferic_pressure_QC https://erddap.s4raise.it/erddap/metadata/fgdc/xml/swan_hellenic_meteocean_V30_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/swan_hellenic_meteocean_V30_iso19115.xml https://erddap.s4raise.it/erddap/info/swan_hellenic_meteocean_V30/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/swan_hellenic_meteocean_V30.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=swan_hellenic_meteocean_V30&showErrors=false&email= ETT, Swan Hellenic swan_hellenic_meteocean_V30
https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V31 https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V31.graph Meteorological data collected during Citizen Science V31 campaign aboard the Swan Hellenic SH Vega ship Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation. cdm_data_type = Point VARIABLES: DateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z) Timezone time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) Report Voyage_state Location Voyage_name Speed_OG (kn) Ship_Speed (kn) True_wind_speed (Wind Speed, Bft) Wind_direction_absolute (Wind From Direction) Wind_direction_true (degrees) Wave_height (Sea Surface Wave Significant Height) Air_temperature (degree_C) Atmosferic_pressure (hPa) Speed_OG_QC Ship_Speed_QC True_wind_speed_QC Wind_direction_absolute_QC (Wind Direction (absolute) QC) Wind_direction_true_QC Wave_height_QC Air_temperature_QC Atmosferic_pressure_QC https://erddap.s4raise.it/erddap/metadata/fgdc/xml/swan_hellenic_meteocean_V31_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/swan_hellenic_meteocean_V31_iso19115.xml https://erddap.s4raise.it/erddap/info/swan_hellenic_meteocean_V31/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/swan_hellenic_meteocean_V31.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=swan_hellenic_meteocean_V31&showErrors=false&email= ETT, Swan Hellenic swan_hellenic_meteocean_V31
https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V32 https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V32.graph Meteorological data collected during Citizen Science V32 campaign aboard the Swan Hellenic SH Vega ship Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation. cdm_data_type = Point VARIABLES: DateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z) Timezone time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) Report Voyage_state Location Voyage_name Speed_OG (kn) Ship_Speed (kn) True_wind_speed (Wind Speed, Bft) Wind_direction_absolute (Wind From Direction) Wind_direction_true (degrees) Wave_height (Sea Surface Wave Significant Height) Air_temperature (degree_C) Atmosferic_pressure (hPa) Speed_OG_QC Ship_Speed_QC True_wind_speed_QC Wind_direction_absolute_QC (Wind Direction (absolute) QC) Wind_direction_true_QC Wave_height_QC Air_temperature_QC Atmosferic_pressure_QC https://erddap.s4raise.it/erddap/metadata/fgdc/xml/swan_hellenic_meteocean_V32_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/swan_hellenic_meteocean_V32_iso19115.xml https://erddap.s4raise.it/erddap/info/swan_hellenic_meteocean_V32/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/swan_hellenic_meteocean_V32.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=swan_hellenic_meteocean_V32&showErrors=false&email= ETT, Swan Hellenic swan_hellenic_meteocean_V32
https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V33 https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V33.graph Meteorological data collected during Citizen Science V33 campaign aboard the Swan Hellenic SH Vega ship Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation. cdm_data_type = Point VARIABLES: DateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z) Timezone time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) Report Voyage_state Location Voyage_name Speed_OG (kn) Ship_Speed (kn) True_wind_speed (Wind Speed, Bft) Wind_direction_absolute (Wind From Direction) Wind_direction_true (degrees) Wave_height (Sea Surface Wave Significant Height) Air_temperature (degree_C) Atmosferic_pressure (hPa) Speed_OG_QC Ship_Speed_QC True_wind_speed_QC Wind_direction_absolute_QC (Wind Direction (absolute) QC) Wind_direction_true_QC Wave_height_QC Air_temperature_QC Atmosferic_pressure_QC https://erddap.s4raise.it/erddap/metadata/fgdc/xml/swan_hellenic_meteocean_V33_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/swan_hellenic_meteocean_V33_iso19115.xml https://erddap.s4raise.it/erddap/info/swan_hellenic_meteocean_V33/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/swan_hellenic_meteocean_V33.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=swan_hellenic_meteocean_V33&showErrors=false&email= ETT, Swan Hellenic swan_hellenic_meteocean_V33
https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V34 https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V34.graph Meteorological data collected during Citizen Science V34 campaign aboard the Swan Hellenic SH Vega ship Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation. cdm_data_type = Point VARIABLES: DateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z) Timezone time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) Report Voyage_state Location Voyage_name Speed_OG (kn) Ship_Speed (kn) True_wind_speed (Wind Speed, Bft) Wind_direction_absolute (Wind From Direction) Wind_direction_true (degrees) Wave_height (Sea Surface Wave Significant Height) Air_temperature (degree_C) Atmosferic_pressure (hPa) Speed_OG_QC Ship_Speed_QC True_wind_speed_QC Wind_direction_absolute_QC (Wind Direction (absolute) QC) Wind_direction_true_QC Wave_height_QC Air_temperature_QC Atmosferic_pressure_QC https://erddap.s4raise.it/erddap/metadata/fgdc/xml/swan_hellenic_meteocean_V34_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/swan_hellenic_meteocean_V34_iso19115.xml https://erddap.s4raise.it/erddap/info/swan_hellenic_meteocean_V34/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/swan_hellenic_meteocean_V34.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=swan_hellenic_meteocean_V34&showErrors=false&email= ETT, Swan Hellenic swan_hellenic_meteocean_V34
https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V35 https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V35.graph Meteorological data collected during Citizen Science V35 campaign aboard the Swan Hellenic SH Vega ship Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation. cdm_data_type = Point VARIABLES: DateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z) Timezone time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) Report Voyage_state Location Voyage_name Speed_OG (kn) Ship_Speed (kn) True_wind_speed (Wind Speed, Bft) Wind_direction_absolute (Wind From Direction) Wind_direction_true (degrees) Wave_height (Sea Surface Wave Significant Height) Air_temperature (degree_C) Atmosferic_pressure (hPa) Speed_OG_QC Ship_Speed_QC True_wind_speed_QC Wind_direction_absolute_QC (Wind Direction (absolute) QC) Wind_direction_true_QC Wave_height_QC Air_temperature_QC Atmosferic_pressure_QC https://erddap.s4raise.it/erddap/metadata/fgdc/xml/swan_hellenic_meteocean_V35_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/swan_hellenic_meteocean_V35_iso19115.xml https://erddap.s4raise.it/erddap/info/swan_hellenic_meteocean_V35/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/swan_hellenic_meteocean_V35.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=swan_hellenic_meteocean_V35&showErrors=false&email= ETT, Swan Hellenic swan_hellenic_meteocean_V35
https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V36 https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V36.graph Meteorological data collected during Citizen Science V36 campaign aboard the Swan Hellenic SH Vega ship Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation. cdm_data_type = Point VARIABLES: DateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z) Timezone time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) Report Voyage_state Location Voyage_name Speed_OG (kn) Ship_Speed (kn) True_wind_speed (Wind Speed, Bft) Wind_direction_absolute (Wind From Direction) Wind_direction_true (degrees) Wave_height (Sea Surface Wave Significant Height) Air_temperature (degree_C) Atmosferic_pressure (hPa) Speed_OG_QC Ship_Speed_QC True_wind_speed_QC Wind_direction_absolute_QC (Wind Direction (absolute) QC) Wind_direction_true_QC Wave_height_QC Air_temperature_QC Atmosferic_pressure_QC https://erddap.s4raise.it/erddap/metadata/fgdc/xml/swan_hellenic_meteocean_V36_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/swan_hellenic_meteocean_V36_iso19115.xml https://erddap.s4raise.it/erddap/info/swan_hellenic_meteocean_V36/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/swan_hellenic_meteocean_V36.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=swan_hellenic_meteocean_V36&showErrors=false&email= ETT, Swan Hellenic swan_hellenic_meteocean_V36
https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V56 https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V56.graph Meteorological data collected during Citizen Science V56 campaign aboard the Swan Hellenic SH Vega ship Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation. cdm_data_type = Point VARIABLES: DateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z) Timezone time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) Report Voyage_state Location Voyage_name Ship_Speed (kn) True_wind_speed (Wind Speed, Bft) Wind_direction_absolute (Wind From Direction) Wave_height (Sea Surface Wave Significant Height) Air_temperature (degree_C) Atmosferic_pressure (Air Pressure, hPa) Ship_Speed_kn_QC (Ship Speed [kn] QC) True_wind_speed_QC Wind_direction_absolute_QC (Wind Direction (absolute) QC) Wave_height_QC Air_temperature_QC Draft_midship_QC https://erddap.s4raise.it/erddap/metadata/fgdc/xml/swan_hellenic_meteocean_V56_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/swan_hellenic_meteocean_V56_iso19115.xml https://erddap.s4raise.it/erddap/info/swan_hellenic_meteocean_V56/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/swan_hellenic_meteocean_V56.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=swan_hellenic_meteocean_V56&showErrors=false&email= ETT, Swan Hellenic swan_hellenic_meteocean_V56
https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V57 https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_meteocean_V57.graph Meteorological data collected during Citizen Science V57 campaign aboard the Swan Hellenic SH Vega ship Meteorological data from the SH Vega ship - Cruising4Oceans project. Cruising4Oceans  is a a Swan Hellenic project supporting scientific research for ocean health in 2025. RAISE developed the data ingestion and processing workflow and its automation. cdm_data_type = Point VARIABLES: DateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z) Timezone time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) Report Voyage_state Location Voyage_name Ship_Speed (kn) True_wind_speed (Wind Speed, Bft) Wind_direction_absolute (Wind From Direction) Wave_height (Sea Surface Wave Significant Height) Air_temperature (degree_C) Atmosferic_pressure (Air Pressure, hPa) Ship_Speed_kn_QC (Ship Speed [kn] QC) True_wind_speed_QC Wind_direction_absolute_QC (Wind Direction (absolute) QC) Wave_height_QC Air_temperature_QC Draft_midship_QC https://erddap.s4raise.it/erddap/metadata/fgdc/xml/swan_hellenic_meteocean_V57_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/swan_hellenic_meteocean_V57_iso19115.xml https://erddap.s4raise.it/erddap/info/swan_hellenic_meteocean_V57/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/swan_hellenic_meteocean_V57.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=swan_hellenic_meteocean_V57&showErrors=false&email= ETT, Swan Hellenic swan_hellenic_meteocean_V57
https://erddap.s4raise.it/erddap/tabledap/meteotracker.subset https://erddap.s4raise.it/erddap/tabledap/meteotracker https://erddap.s4raise.it/erddap/tabledap/meteotracker.graph Meteorological data collected using the MeteoTracker device Collection of meteorological data from the MeteoTracker device. MeteoTracker is a low cost tool for participatory science. RAISE developed the data ingestion, data processing and workflow automation for offering added value datasets. cdm_data_type = Point VARIABLES: time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) altitude (m) speed temperature humidity pressure dew_point solar_radiation_index humidex tag potential_temperature D https://erddap.s4raise.it/erddap/metadata/fgdc/xml/meteotracker_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/meteotracker_iso19115.xml https://erddap.s4raise.it/erddap/info/meteotracker/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/meteotracker.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=meteotracker&showErrors=false&email= ETT meteotracker
https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_weather_ECOWITT001.subset https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_weather_ECOWITT001 https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_weather_ECOWITT001.graph https://erddap.s4raise.it/erddap/files/ingv-lasomma_sensors_weather_ECOWITT001/ Meteorological observations by Ecowitt Weather Station - ECOWITT001 The Ecowitt Weather Station dataset provides real-time and high-frequency meteorological observations collected by a consumer-grade wireless weather station. The environmental variables monitored by the Ecowitt weather station and accessible through the LA SOMMA portal are: temperature, wind direction, wind gust, wind speed, atmospheric pressure, rainfall intensity, and relative humidity .Data are transmitted at regular intervals through the Ecowitt API. Measurements are delivered as minute-level or multi-minute time series, depending on the configured reporting interval. cdm_data_type = Other VARIABLES: ext_id time (seconds since 1970-01-01T00:00:00Z) cum rain_intensity air_temperature relative_humidity air_pressure wind_speed wind_from_direction wind_gust (Wind Speed Of Gust) wind_gust_from_direction battery https://erddap.s4raise.it/erddap/info/ingv-lasomma_sensors_weather_ECOWITT001/index.xhtml https://indra.artys.it/INGVRAISE/index.html https://erddap.s4raise.it/erddap/rss/ingv-lasomma_sensors_weather_ECOWITT001.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=ingv-lasomma_sensors_weather_ECOWITT001&showErrors=false&email= INGV, AGI srl ingv-lasomma_sensors_weather_ECOWITT001
https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_weather_ECOWITT002.subset https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_weather_ECOWITT002 https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_weather_ECOWITT002.graph https://erddap.s4raise.it/erddap/files/ingv-lasomma_sensors_weather_ECOWITT002/ Meteorological observations by Ecowitt Weather Station - ECOWITT002 The Ecowitt Weather Station dataset provides real-time and high-frequency meteorological observations collected by a consumer-grade wireless weather station. The environmental variables monitored by the Ecowitt weather station and accessible through the LA SOMMA portal are: temperature, wind direction, wind gust, wind speed, atmospheric pressure, rainfall intensity, and relative humidity .Data are transmitted at regular intervals through the Ecowitt API. Measurements are delivered as minute-level or multi-minute time series, depending on the configured reporting interval. cdm_data_type = Other VARIABLES: ext_id time (seconds since 1970-01-01T00:00:00Z) cum rain_intensity air_temperature relative_humidity air_pressure wind_speed wind_from_direction wind_gust (Wind Speed Of Gust) wind_gust_from_direction battery https://erddap.s4raise.it/erddap/info/ingv-lasomma_sensors_weather_ECOWITT002/index.xhtml https://indra.artys.it/INGVRAISE/index.html https://erddap.s4raise.it/erddap/rss/ingv-lasomma_sensors_weather_ECOWITT002.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=ingv-lasomma_sensors_weather_ECOWITT002&showErrors=false&email= INGV, AGI srl ingv-lasomma_sensors_weather_ECOWITT002
https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_weather_ECOWITT003.subset https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_weather_ECOWITT003 https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_weather_ECOWITT003.graph https://erddap.s4raise.it/erddap/files/ingv-lasomma_sensors_weather_ECOWITT003/ Meteorological observations by Ecowitt Weather Station - ECOWITT003 The Ecowitt Weather Station dataset provides real-time and high-frequency meteorological observations collected by a consumer-grade wireless weather station. The environmental variables monitored by the Ecowitt weather station and accessible through the LA SOMMA portal are: temperature, wind direction, wind gust, wind speed, atmospheric pressure, rainfall intensity, and relative humidity .Data are transmitted at regular intervals through the Ecowitt API. Measurements are delivered as minute-level or multi-minute time series, depending on the configured reporting interval. cdm_data_type = Other VARIABLES: ext_id time (seconds since 1970-01-01T00:00:00Z) cum rain_intensity air_temperature relative_humidity air_pressure wind_speed wind_from_direction wind_gust (Wind Speed Of Gust) wind_gust_from_direction battery https://erddap.s4raise.it/erddap/info/ingv-lasomma_sensors_weather_ECOWITT003/index.xhtml https://indra.artys.it/INGVRAISE/index.html https://erddap.s4raise.it/erddap/rss/ingv-lasomma_sensors_weather_ECOWITT003.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=ingv-lasomma_sensors_weather_ECOWITT003&showErrors=false&email= INGV, AGI srl ingv-lasomma_sensors_weather_ECOWITT003
https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_weather_ECOWITT004.subset https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_weather_ECOWITT004 https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_weather_ECOWITT004.graph https://erddap.s4raise.it/erddap/files/ingv-lasomma_sensors_weather_ECOWITT004/ Meteorological observations by Ecowitt Weather Station - ECOWITT004 The Ecowitt Weather Station dataset provides real-time and high-frequency meteorological observations collected by a consumer-grade wireless weather station. The environmental variables monitored by the Ecowitt weather station and accessible through the LA SOMMA portal are: temperature, wind direction, wind gust, wind speed, atmospheric pressure, rainfall intensity, and relative humidity .Data are transmitted at regular intervals through the Ecowitt API. Measurements are delivered as minute-level or multi-minute time series, depending on the configured reporting interval. cdm_data_type = Other VARIABLES: ext_id time (seconds since 1970-01-01T00:00:00Z) cum rain_intensity air_temperature relative_humidity air_pressure wind_speed wind_from_direction wind_gust (Wind Speed Of Gust) wind_gust_from_direction battery https://erddap.s4raise.it/erddap/info/ingv-lasomma_sensors_weather_ECOWITT004/index.xhtml https://indra.artys.it/INGVRAISE/index.html https://erddap.s4raise.it/erddap/rss/ingv-lasomma_sensors_weather_ECOWITT004.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=ingv-lasomma_sensors_weather_ECOWITT004&showErrors=false&email= INGV, AGI srl ingv-lasomma_sensors_weather_ECOWITT004
https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_data_sea_quality_stat_genova.subset https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_data_sea_quality_stat_genova https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_data_sea_quality_stat_genova.graph https://erddap.s4raise.it/erddap/files/ingv-lasomma_sensors_data_sea_quality_stat_genova/ Multiparametric measurements in a fixed position in the Genova port An IoT - blue box system installed on a 'boat of opportunity'  measured temperature, salinity, pH, redox, chlorophyll, oxygen, phycoerythrin, turbidity and fDOM  at a depth of 0.5 meters initially at  at 5-minute intervals and then at 20 minutes intervals cdm_data_type = Other VARIABLES: ext_id cruise station type time (seconds since 1970-01-01T00:00:00Z) temp (Temperature) psal alky cpwc phyc tsed wbrx cmfl deph doxy_mg_l doxy_perc qv_odv_sample temp_qf psal_qf alky_qf cpwc_qf phyc_qf tsed_qf wbrx_qf cmfl_qf ... (4 more variables) https://erddap.s4raise.it/erddap/info/ingv-lasomma_sensors_data_sea_quality_stat_genova/index.xhtml https://indra.artys.it/INGVRAISE/index.html https://erddap.s4raise.it/erddap/rss/ingv-lasomma_sensors_data_sea_quality_stat_genova.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=ingv-lasomma_sensors_data_sea_quality_stat_genova&showErrors=false&email= INGV, OceanHis SrL ingv-lasomma_sensors_data_sea_quality_stat_genova
https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_data_sea_quality_move_cinqueterre_massa.subset https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_data_sea_quality_move_cinqueterre_massa https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_data_sea_quality_move_cinqueterre_massa.graph https://erddap.s4raise.it/erddap/files/ingv-lasomma_sensors_data_sea_quality_move_cinqueterre_massa/ Multiparametric mission along the eastern ligurian coast from Cinque Terre to Marina di Massa An IoT - blue box system installed on a 'boat of opportunity'  measured temperature, salinity, pH, redox, chlorophyll, oxygen, phycoerythrin and turbidity at a depth of 0.5 meters at 5-minute intervals on the continental shelf off Cinque Terre and La Spezia cdm_data_type = Other VARIABLES: ext_id cruise station type time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) temp (Temperature) psal alky cpwc phyc tsed wbrx cmfl deph doxy_mg_l doxy_perc qv_odv_sample https://erddap.s4raise.it/erddap/metadata/fgdc/xml/ingv-lasomma_sensors_data_sea_quality_move_cinqueterre_massa_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/ingv-lasomma_sensors_data_sea_quality_move_cinqueterre_massa_iso19115.xml https://erddap.s4raise.it/erddap/info/ingv-lasomma_sensors_data_sea_quality_move_cinqueterre_massa/index.xhtml https://indra.artys.it/INGVRAISE/index.html https://erddap.s4raise.it/erddap/rss/ingv-lasomma_sensors_data_sea_quality_move_cinqueterre_massa.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=ingv-lasomma_sensors_data_sea_quality_move_cinqueterre_massa&showErrors=false&email= INGV, OceanHis SrL ingv-lasomma_sensors_data_sea_quality_move_cinqueterre_massa
https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_data_sea_quality_move_genova_portofino.subset https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_data_sea_quality_move_genova_portofino https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_data_sea_quality_move_genova_portofino.graph https://erddap.s4raise.it/erddap/files/ingv-lasomma_sensors_data_sea_quality_move_genova_portofino/ Multiparametric mission along the eastern ligurian coast from Genova to Portofino An IoT - blue box system installed on a 'boat of opportunity'  measured temperature, salinity, pH, redox, chlorophyll, oxygen, phycoerythrin and turbidity at a depth of 0.5 meters at 5-minute intervals on the continental shelf off Genova and in open sea from Genova to Portofino cdm_data_type = Other VARIABLES: ext_id cruise station type time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) temp (Temperature) psal alky cpwc phyc tsed wbrx cmfl deph doxy_mg_l doxy_perc qv_odv_sample https://erddap.s4raise.it/erddap/metadata/fgdc/xml/ingv-lasomma_sensors_data_sea_quality_move_genova_portofino_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/ingv-lasomma_sensors_data_sea_quality_move_genova_portofino_iso19115.xml https://erddap.s4raise.it/erddap/info/ingv-lasomma_sensors_data_sea_quality_move_genova_portofino/index.xhtml https://indra.artys.it/INGVRAISE/index.html https://erddap.s4raise.it/erddap/rss/ingv-lasomma_sensors_data_sea_quality_move_genova_portofino.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=ingv-lasomma_sensors_data_sea_quality_move_genova_portofino&showErrors=false&email= INGV, OceanHis SrL ingv-lasomma_sensors_data_sea_quality_move_genova_portofino
https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_data_sea_quality_move_ischia.subset https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_data_sea_quality_move_ischia https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_data_sea_quality_move_ischia.graph https://erddap.s4raise.it/erddap/files/ingv-lasomma_sensors_data_sea_quality_move_ischia/ Multiparametric mission around Ischia island An IoT - blue box system installed on a 'boat of opportunity'  measured temperature, salinity, pH, redox, chlorophyll, oxygen, phycoerythrin and turbidity at a depth of 0.5 meters at 5-minute intervals on the continental shelf off Ischia island cdm_data_type = Other VARIABLES: ext_id cruise station type time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) temp (Temperature) psal alky cpwc phyc tsed wbrx cmfl deph doxy_mg_l doxy_perc qv_odv_sample https://erddap.s4raise.it/erddap/metadata/fgdc/xml/ingv-lasomma_sensors_data_sea_quality_move_ischia_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/ingv-lasomma_sensors_data_sea_quality_move_ischia_iso19115.xml https://erddap.s4raise.it/erddap/info/ingv-lasomma_sensors_data_sea_quality_move_ischia/index.xhtml https://indra.artys.it/INGVRAISE/index.html https://erddap.s4raise.it/erddap/rss/ingv-lasomma_sensors_data_sea_quality_move_ischia.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=ingv-lasomma_sensors_data_sea_quality_move_ischia&showErrors=false&email= INGV, OceanHis SrL ingv-lasomma_sensors_data_sea_quality_move_ischia
https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_data_sea_quality_move_genova.subset https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_data_sea_quality_move_genova https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_data_sea_quality_move_genova.graph https://erddap.s4raise.it/erddap/files/ingv-lasomma_sensors_data_sea_quality_move_genova/ Multiparametric mission off Genova April 2025 An IoT - blue box system installed on a 'boat of opportunity'  measured temperature, salinity, pH, redox, chlorophyll, oxygen, phycoerythrin and turbidity at a depth of 0.5 meters at 5-minute intervals on the coastal zone off Genova cdm_data_type = Other VARIABLES: ext_id cruise station type time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) temp (Temperature) psal alky cpwc phyc tsed wbrx cmfl deph doxy_mg_l doxy_perc qv_odv_sample https://erddap.s4raise.it/erddap/metadata/fgdc/xml/ingv-lasomma_sensors_data_sea_quality_move_genova_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/ingv-lasomma_sensors_data_sea_quality_move_genova_iso19115.xml https://erddap.s4raise.it/erddap/info/ingv-lasomma_sensors_data_sea_quality_move_genova/index.xhtml https://indra.artys.it/INGVRAISE/index.html https://erddap.s4raise.it/erddap/rss/ingv-lasomma_sensors_data_sea_quality_move_genova.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=ingv-lasomma_sensors_data_sea_quality_move_genova&showErrors=false&email= INGV, OceanHis SrL ingv-lasomma_sensors_data_sea_quality_move_genova
https://erddap.s4raise.it/erddap/tabledap/cnr-ismar_guard1_0001 https://erddap.s4raise.it/erddap/tabledap/cnr-ismar_guard1_0001.graph https://erddap.s4raise.it/erddap/files/cnr-ismar_guard1_0001/ Mussel farm image dataset - Gulf of La Spezia - Station 0001 The dataset consits of underwater images showing fish activity within the mussel farm in the Gulf of La Spezia. The images are acquired by the autonomous and intelligent imaging device GUARD-1, installed on a surface buoy of the mussel farm in the gulf of La Spezia. The GUARD-1 is deployed at 3m depth and consists of an underwater camera equipped with a lighiting system that allow the image acquisition 24h per day. The device is also equipped with an onboard AI-based image analysis tool capable to recognize the fish specimens in order to automatically extract abundance time series and to select images with relevant content. The GUARD-1 device is connected to a 4G modem positioned on the surface buoy, inside a watertight case, that transmit the acquired images together with information extracted by the AI-based tool. Both the image acquisition frequency and the data transmission frequency are programmable by the user and can be managed through a remote connection or automatically by the AI-based tool. cdm_data_type = Other VARIABLES: time (seconds since 1970-01-01T00:00:00Z) name latitude (degrees_north) longitude (degrees_east) url https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cnr-ismar_guard1_0001_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cnr-ismar_guard1_0001_iso19115.xml https://erddap.s4raise.it/erddap/info/cnr-ismar_guard1_0001/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/cnr-ismar_guard1_0001.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cnr-ismar_guard1_0001&showErrors=false&email= CNR-ISMAR cnr-ismar_guard1_0001
https://erddap.s4raise.it/erddap/tabledap/cnr-ismar_guard1_0001_0022 https://erddap.s4raise.it/erddap/tabledap/cnr-ismar_guard1_0001_0022.graph https://erddap.s4raise.it/erddap/files/cnr-ismar_guard1_0001_0022/ Mussel farm image dataset - Gulf of La Spezia - Station 0001 and 0022 The dataset consits of underwater images showing fish activity within the mussel farm in the Gulf of La Spezia. The images are acquired by the autonomous and intelligent imaging device GUARD-1, installed on a surface buoy of the mussel farm in the gulf of La Spezia. The GUARD-1 is deployed at 3m depth and consists of an underwater camera equipped with a lighiting system that allow the image acquisition 24h per day. The device is also equipped with an onboard AI-based image analysis tool capable to recognize the fish specimens in order to automatically extract abundance time series and to select images with relevant content. The GUARD-1 device is connected to a 4G modem positioned on the surface buoy, inside a watertight case, that transmit the acquired images together with information extracted by the AI-based tool. Both the image acquisition frequency and the data transmission frequency are programmable by the user and can be managed through a remote connection or automatically by the AI-based tool. cdm_data_type = Other VARIABLES: time (seconds since 1970-01-01T00:00:00Z) name latitude (degrees_north) longitude (degrees_east) url https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cnr-ismar_guard1_0001_0022_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cnr-ismar_guard1_0001_0022_iso19115.xml https://erddap.s4raise.it/erddap/info/cnr-ismar_guard1_0001_0022/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/cnr-ismar_guard1_0001_0022.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cnr-ismar_guard1_0001_0022&showErrors=false&email= CNR-ISMAR cnr-ismar_guard1_0001_0022
https://erddap.s4raise.it/erddap/tabledap/cnr-ismar_guard1_0022 https://erddap.s4raise.it/erddap/tabledap/cnr-ismar_guard1_0022.graph https://erddap.s4raise.it/erddap/files/cnr-ismar_guard1_0022/ Mussel farm image dataset - Gulf of La Spezia - Station 0022 The dataset consits of underwater images showing fish activity within the mussel farm in the Gulf of La Spezia. The images are acquired by the autonomous and intelligent imaging device GUARD-1, installed on a surface buoy of the mussel farm in the gulf of La Spezia. The GUARD-1 is deployed at 3m depth and consists of an underwater camera equipped with a lighiting system that allow the image acquisition 24h per day. The device is also equipped with an onboard AI-based image analysis tool capable to recognize the fish specimens in order to automatically extract abundance time series and to select images with relevant content. The GUARD-1 device is connected to a 4G modem positioned on the surface buoy, inside a watertight case, that transmit the acquired images together with information extracted by the AI-based tool. Both the image acquisition frequency and the data transmission frequency are programmable by the user and can be managed through a remote connection or automatically by the AI-based tool. cdm_data_type = Other VARIABLES: time (seconds since 1970-01-01T00:00:00Z) name latitude (degrees_north) longitude (degrees_east) url https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cnr-ismar_guard1_0022_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cnr-ismar_guard1_0022_iso19115.xml https://erddap.s4raise.it/erddap/info/cnr-ismar_guard1_0022/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/cnr-ismar_guard1_0022.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cnr-ismar_guard1_0022&showErrors=false&email= CNR-ISMAR cnr-ismar_guard1_0022
https://erddap.s4raise.it/erddap/tabledap/cnr-ismar_guard1_0102 https://erddap.s4raise.it/erddap/tabledap/cnr-ismar_guard1_0102.graph https://erddap.s4raise.it/erddap/files/cnr-ismar_guard1_0102/ Mussel farm image dataset - Gulf of La Spezia - Station 0102 The dataset consits of underwater images showing fish activity within the mussel farm in the Gulf of La Spezia. The images are acquired by the autonomous and intelligent imaging device GUARD-1, installed on a fixed boat used as a field laboratory by the mussel farm operators, in the gulf of La Spezia. The GUARD-1 is deployed at 3m depth and consists of an underwater camera equipped with a lighiting system that allow the image acquisition 24h per day. The GUARD-1 device is connected to a 4G modem positioned on the fixed boat that transmit the acquired images. Both the image acquisition frequency and the data transmission frequency are programmable by the user and can be managed through a remote connection. cdm_data_type = Other VARIABLES: time (seconds since 1970-01-01T00:00:00Z) name latitude (degrees_north) longitude (degrees_east) url https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cnr-ismar_guard1_0102_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cnr-ismar_guard1_0102_iso19115.xml https://erddap.s4raise.it/erddap/info/cnr-ismar_guard1_0102/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/cnr-ismar_guard1_0102.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cnr-ismar_guard1_0102&showErrors=false&email= CNR-ISMAR cnr-ismar_guard1_0102
https://erddap.s4raise.it/erddap/tabledap/unige-dicca_dispersion_forecast_simple_mover https://erddap.s4raise.it/erddap/tabledap/unige-dicca_dispersion_forecast_simple_mover.graph https://erddap.s4raise.it/erddap/files/unige-dicca_dispersion_forecast_simple_mover/ Particle dispersion model The particle dispersion model used is Pygnome. The forcings used for the forecast are the persistence of the sea current velocity, in its u and v components, and the average wind speed and direction calculated over the previous six hours.  The model generates a forecast output with a six-hour time horizon. Every hour, new current and wind data are acquired, thus updating the forecast hour by hour for the next six hours. cdm_data_type = Point VARIABLES: time (time since the beginning of the simulation, seconds since 1970-01-01T00:00:00Z) latitude (latitude of the particle, degrees_north) longitude (longitude of the particle, degrees_east) particle_count (number of particles in a given timestep, 1) spill_num (spill to which the particle belongs) surface_concentration (surface concentration of oil, g m-2) depth (particle depth below sea surface, m) id (particle ID) age (age of particle from time of release, minutes) status_codes (particle status code) density (emulsion density at end of timestep, kg/m^3) viscosity (emulsion viscosity at end of timestep, m^2/sec) mass (mass of particle, kilograms) https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-dicca_dispersion_forecast_simple_mover_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-dicca_dispersion_forecast_simple_mover_iso19115.xml https://erddap.s4raise.it/erddap/info/unige-dicca_dispersion_forecast_simple_mover/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/unige-dicca_dispersion_forecast_simple_mover.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_dispersion_forecast_simple_mover&showErrors=false&email= UNIGE-DICCA unige-dicca_dispersion_forecast_simple_mover
https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_srs_rainfall_bonassola.subset https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_srs_rainfall_bonassola https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_srs_rainfall_bonassola.graph https://erddap.s4raise.it/erddap/files/ingv-lasomma_srs_rainfall_bonassola/ Real-time rainfall intensity and cumulate precipitation maps by SRS - Smart Rainfall System - Bonassola The SRS (Smart Rainfall System) dataset originates from a dense network of microwave sensors designed for satellite down-links and developed by the University of Genoa together with Artys and Darts Engineering (Genoa, Italy). By analysing the attenuation of satellite signals received by standard parabolic antennas, the system retrieves real-time estimates of rainfall intensity along each observation link and produces high-resolution precipitation maps over the monitored area. The resulting dataset provides continuous time series of rainfall intensity and cumulative precipitation (15 minutes, 1-2-8-12, 24 hours), enabling detailed spatio-temporal characterization of rainfall dynamics. cdm_data_type = Grid VARIABLES: time (seconds since 1970-01-01T00:00:00Z) srs_id srs_sat_id rain_level https://erddap.s4raise.it/erddap/info/ingv-lasomma_srs_rainfall_bonassola/index.xhtml https://indra.artys.it/INGVRAISE/index.html https://erddap.s4raise.it/erddap/rss/ingv-lasomma_srs_rainfall_bonassola.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=ingv-lasomma_srs_rainfall_bonassola&showErrors=false&email= INGV, Darts Engineering Srl ingv-lasomma_srs_rainfall_bonassola
https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_srs_rainfall_genova.subset https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_srs_rainfall_genova https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_srs_rainfall_genova.graph https://erddap.s4raise.it/erddap/files/ingv-lasomma_srs_rainfall_genova/ Real-time rainfall intensity and cumulate precipitation maps by SRS - Smart Rainfall System - Genova The SRS (Smart Rainfall System) dataset originates from a dense network of microwave sensors designed for satellite down-links and developed by the University of Genoa together with Artys and Darts Engineering (Genoa, Italy). By analysing the attenuation of satellite signals received by standard parabolic antennas, the system retrieves real-time estimates of rainfall intensity along each observation link and produces high-resolution precipitation maps over the monitored area. The resulting dataset provides continuous time series of rainfall intensity and cumulative precipitation (15 minutes, 1-2-8-12, 24 hours), enabling detailed spatio-temporal characterization of rainfall dynamics. cdm_data_type = Grid VARIABLES: time (seconds since 1970-01-01T00:00:00Z) srs_id srs_sat_id rain_level https://erddap.s4raise.it/erddap/info/ingv-lasomma_srs_rainfall_genova/index.xhtml https://indra.artys.it/INGVRAISE/index.html https://erddap.s4raise.it/erddap/rss/ingv-lasomma_srs_rainfall_genova.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=ingv-lasomma_srs_rainfall_genova&showErrors=false&email= INGV, Darts Engineering Srl ingv-lasomma_srs_rainfall_genova
https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_srs_rainfall_laspezia https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_srs_rainfall_laspezia.graph https://erddap.s4raise.it/erddap/files/ingv-lasomma_srs_rainfall_laspezia/ Real-time rainfall intensity and cumulate precipitation maps by SRS - Smart Rainfall System - La Spezia The SRS (Smart Rainfall System) dataset originates from a dense network of microwave sensors designed for satellite down-links and developed by the University of Genoa together with Artys and Darts Engineering (Genoa, Italy). By analysing the attenuation of satellite signals received by standard parabolic antennas, the system retrieves real-time estimates of rainfall intensity along each observation link and produces high-resolution precipitation maps over the monitored area. The resulting dataset provides continuous time series of rainfall intensity and cumulative precipitation (15 minutes, 1-2-8-12, 24 hours), enabling detailed spatio-temporal characterization of rainfall dynamics. cdm_data_type = Grid VARIABLES: time (seconds since 1970-01-01T00:00:00Z) srs_id srs_sat_id rain_level https://erddap.s4raise.it/erddap/info/ingv-lasomma_srs_rainfall_laspezia/index.xhtml https://indra.artys.it/INGVRAISE/index.html https://erddap.s4raise.it/erddap/rss/ingv-lasomma_srs_rainfall_laspezia.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=ingv-lasomma_srs_rainfall_laspezia&showErrors=false&email= INGV, Darts Engineering Srl ingv-lasomma_srs_rainfall_laspezia
https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_srs_rainfall_livorno https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_srs_rainfall_livorno.graph https://erddap.s4raise.it/erddap/files/ingv-lasomma_srs_rainfall_livorno/ Real-time rainfall intensity and cumulate precipitation maps by SRS - Smart Rainfall System - Livorno The SRS (Smart Rainfall System) dataset originates from a dense network of microwave sensors designed for satellite down-links and developed by the University of Genoa together with Artys and Darts Engineering (Genoa, Italy). By analysing the attenuation of satellite signals received by standard parabolic antennas, the system retrieves real-time estimates of rainfall intensity along each observation link and produces high-resolution precipitation maps over the monitored area. The resulting dataset provides continuous time series of rainfall intensity and cumulative precipitation (15 minutes, 1-2-8-12, 24 hours), enabling detailed spatio-temporal characterization of rainfall dynamics. cdm_data_type = Grid VARIABLES: time (seconds since 1970-01-01T00:00:00Z) srs_id srs_sat_id rain_level https://erddap.s4raise.it/erddap/info/ingv-lasomma_srs_rainfall_livorno/index.xhtml https://indra.artys.it/INGVRAISE/index.html https://erddap.s4raise.it/erddap/rss/ingv-lasomma_srs_rainfall_livorno.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=ingv-lasomma_srs_rainfall_livorno&showErrors=false&email= INGV, Darts Engineering Srl ingv-lasomma_srs_rainfall_livorno
https://erddap.s4raise.it/erddap/tabledap/unige-distav_riomaggiore_buoy_temp_curr_data https://erddap.s4raise.it/erddap/tabledap/unige-distav_riomaggiore_buoy_temp_curr_data.graph Riomaggiore in situ buoy sea water temperature and sub surface current data The dataset represents data automatically collected and trasmitted in real-time by in situ buoy located in Riomaggiore cdm_data_type = Other VARIABLES: time (Timestamp, seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) sw_temperature_3m (SW Temp 3m, degree_C) sw_temperature_6_5m (SW Temp 6.5m, degree_C) speed_mean (Speed, cm/s) speed_std (cm/s) direction_mean (Direction, degrees_north) direction_std (degrees_north) tilt tilt_std read_count https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-distav_riomaggiore_buoy_temp_curr_data_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-distav_riomaggiore_buoy_temp_curr_data_iso19115.xml https://erddap.s4raise.it/erddap/info/unige-distav_riomaggiore_buoy_temp_curr_data/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/unige-distav_riomaggiore_buoy_temp_curr_data.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-distav_riomaggiore_buoy_temp_curr_data&showErrors=false&email= UNIGE-DISTAV unige-distav_riomaggiore_buoy_temp_curr_data
https://erddap.s4raise.it/erddap/tabledap/unige-distav_riomaggiore_buoy_wave_wind_data https://erddap.s4raise.it/erddap/tabledap/unige-distav_riomaggiore_buoy_wave_wind_data.graph Riomaggiore in situ buoy wave and wind data The dataset represents data automatically collected and trasmitted in real-time by in situ buoy located in Riomaggiore cdm_data_type = Other VARIABLES: time (Timestamp, seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) significantWaveHeight (Significant Wave Height, m) peakPeriod (Wave Peak Period, s) meanPeriod (Wave Mean Period, s) peakDirection (Wave Peak Direction, degrees) meanDirection (Wave Mean Direction, degrees) peakDirectionalSpread (Wave Peak Directional Spread, degrees) meanDirectionalSpread (Wave Mean Directional Spread, degrees) wind_direction (degrees_north) wind_speed (m/s) air_pressure (Barometric Pressure, hPa) surfaceTemp (Surface Temp, degree_C) https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-distav_riomaggiore_buoy_wave_wind_data_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-distav_riomaggiore_buoy_wave_wind_data_iso19115.xml https://erddap.s4raise.it/erddap/info/unige-distav_riomaggiore_buoy_wave_wind_data/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/unige-distav_riomaggiore_buoy_wave_wind_data.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-distav_riomaggiore_buoy_wave_wind_data&showErrors=false&email= UNIGE-DISTAV unige-distav_riomaggiore_buoy_wave_wind_data
https://erddap.s4raise.it/erddap/tabledap/brizo.subset https://erddap.s4raise.it/erddap/tabledap/brizo https://erddap.s4raise.it/erddap/tabledap/brizo.graph Sea Surface Temperature data collected during Citizen Science activities using the Brizo device Brizo is a smart temperature logger to support marine environmental research. The system offers data in near real time. cdm_data_type = Point VARIABLES: platformcode mission time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) temperature timestamp (seconds since 1970-01-01T00:00:00Z) author command https://erddap.s4raise.it/erddap/metadata/fgdc/xml/brizo_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/brizo_iso19115.xml https://erddap.s4raise.it/erddap/info/brizo/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/brizo.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=brizo&showErrors=false&email= ETT brizo
https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_wave_meter_andora.subset https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_wave_meter_andora https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_wave_meter_andora.graph https://erddap.s4raise.it/erddap/files/ingv-lasomma_sensors_wave_meter_andora/ Sea waves parameters - Andora Sea-waves parameters -Hs (Significant wave height),Tm (Mean Period). And Tp (Peak Period) retrieved from inland micro-seismic measurements - Andora cdm_data_type = Other VARIABLES: ext_id time (seconds since 1970-01-01T00:00:00Z) hs tm tp valid https://erddap.s4raise.it/erddap/info/ingv-lasomma_sensors_wave_meter_andora/index.xhtml https://indra.artys.it/INGVRAISE/index.html https://erddap.s4raise.it/erddap/rss/ingv-lasomma_sensors_wave_meter_andora.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=ingv-lasomma_sensors_wave_meter_andora&showErrors=false&email= INGV, AGI srl ingv-lasomma_sensors_wave_meter_andora
https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_wave_meter_bonassola.subset https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_wave_meter_bonassola https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_wave_meter_bonassola.graph https://erddap.s4raise.it/erddap/files/ingv-lasomma_sensors_wave_meter_bonassola/ Sea waves parameters - Bonassola Sea-waves parameters -Hs (Significant wave height),Tm (Mean Period). And Tp (Peak Period) retrieved from inland micro-seismic measurements - Bonassola cdm_data_type = Other VARIABLES: ext_id time (seconds since 1970-01-01T00:00:00Z) hs tm tp valid https://erddap.s4raise.it/erddap/info/ingv-lasomma_sensors_wave_meter_bonassola/index.xhtml https://indra.artys.it/INGVRAISE/index.html https://erddap.s4raise.it/erddap/rss/ingv-lasomma_sensors_wave_meter_bonassola.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=ingv-lasomma_sensors_wave_meter_bonassola&showErrors=false&email= INGV, AGI srl ingv-lasomma_sensors_wave_meter_bonassola
https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_wave_meter_genovacnr.subset https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_wave_meter_genovacnr https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_wave_meter_genovacnr.graph https://erddap.s4raise.it/erddap/files/ingv-lasomma_sensors_wave_meter_genovacnr/ Sea waves parameters - Genova CNR Sea-waves parameters -Hs (Significant wave height),Tm (Mean Period). And Tp (Peak Period) retrieved from inland micro-seismic measurements - Genova CNR cdm_data_type = Other VARIABLES: ext_id time (seconds since 1970-01-01T00:00:00Z) hs tm tp valid https://erddap.s4raise.it/erddap/info/ingv-lasomma_sensors_wave_meter_genovacnr/index.xhtml https://indra.artys.it/INGVRAISE/index.html https://erddap.s4raise.it/erddap/rss/ingv-lasomma_sensors_wave_meter_genovacnr.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=ingv-lasomma_sensors_wave_meter_genovacnr&showErrors=false&email= INGV, AGI srl ingv-lasomma_sensors_wave_meter_genovacnr
https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_wave_meter_livornocnr.subset https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_wave_meter_livornocnr https://erddap.s4raise.it/erddap/tabledap/ingv-lasomma_sensors_wave_meter_livornocnr.graph https://erddap.s4raise.it/erddap/files/ingv-lasomma_sensors_wave_meter_livornocnr/ Sea waves parameters - Livorno Sea-waves parameters -Hs (Significant wave height),Tm (Mean Period). And Tp (Peak Period) retrieved from inland micro-seismic measurements - Livorno cdm_data_type = Other VARIABLES: ext_id time (seconds since 1970-01-01T00:00:00Z) hs tm tp valid https://erddap.s4raise.it/erddap/info/ingv-lasomma_sensors_wave_meter_livornocnr/index.xhtml https://indra.artys.it/INGVRAISE/index.html https://erddap.s4raise.it/erddap/rss/ingv-lasomma_sensors_wave_meter_livornocnr.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=ingv-lasomma_sensors_wave_meter_livornocnr&showErrors=false&email= INGV, AGI srl ingv-lasomma_sensors_wave_meter_livornocnr
https://erddap.s4raise.it/erddap/tabledap/omirl_stazioni_mare https://erddap.s4raise.it/erddap/tabledap/omirl_stazioni_mare.graph https://erddap.s4raise.it/erddap/files/omirl_stazioni_mare/ Stazioni OMIRL (Osservatorio Meteo Idrologico della Regione Liguria), Osservazioni georiferite di parametri meteo-marini ed idrologici in tempo reale sulla Liguria, Stazioni a mare Stazioni OMIRL (Osservatorio Meteo Idrologico della Regione Liguria) - Osservazioni georiferite di parametri meteo-marini ed idrologici in tempo reale sulla Liguria - Stazioni a mare cdm_data_type = Point VARIABLES: name shortCode (Short Code) time (Valid Time GMT, seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) VHZA (Average zero crossing wave height (Hzm), m) AIR_TEMP (Air temperature, degree_C) WSPD (Horizontal wind speed, m/s) GSPD (Gust wind speed, m/s) WDIR (Wind from direction relative true north, degrees) WSPD_2d (Horizontal wind speed, m/s) GSPD_2d (Gust wind speed, m/s) WDIR_2d (Wind from direction relative true north, degrees) ATMP (Atmospheric pressure at sea level, hPa) https://erddap.s4raise.it/erddap/metadata/fgdc/xml/omirl_stazioni_mare_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/omirl_stazioni_mare_iso19115.xml https://erddap.s4raise.it/erddap/info/omirl_stazioni_mare/index.xhtml https://omirl.regione.liguria.it/ https://erddap.s4raise.it/erddap/rss/omirl_stazioni_mare.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=omirl_stazioni_mare&showErrors=false&email= OMIRL omirl_stazioni_mare
https://erddap.s4raise.it/erddap/tabledap/omirl_stazioni_terra https://erddap.s4raise.it/erddap/tabledap/omirl_stazioni_terra.graph https://erddap.s4raise.it/erddap/files/omirl_stazioni_terra/ Stazioni OMIRL (Osservatorio Meteo Idrologico della Regione Liguria), Osservazioni georiferite di parametri meteo-marini ed idrologici in tempo reale sulla Liguria, Stazioni a terra Stazioni OMIRL (Osservatorio Meteo Idrologico della Regione Liguria) - Osservazioni georiferite di parametri meteo-marini ed idrologici in tempo reale sulla Liguria - Stazioni a terra cdm_data_type = Point VARIABLES: name shortCode (Short Code) time (Valid Time GMT, seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) RAIN_1h CUMUL_1h RAIN_5m CUMUL_5m RAIN_7d CUMUL_7d RAIN_1d CUMUL_1d AIR_TEMP (air_temperature, degree_C) TMIN (air_temperature, degree_C) TMAX (air_temperature, degree_C) RLEV (Water surface height above a specific datum, m) ATMP (air_pressure) TENS (Battery voltage, V) municipality https://erddap.s4raise.it/erddap/metadata/fgdc/xml/omirl_stazioni_terra_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/omirl_stazioni_terra_iso19115.xml https://erddap.s4raise.it/erddap/info/omirl_stazioni_terra/index.xhtml https://omirl.regione.liguria.it/ https://erddap.s4raise.it/erddap/rss/omirl_stazioni_terra.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=omirl_stazioni_terra&showErrors=false&email= OMIRL omirl_stazioni_terra
https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_openctd.subset https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_openctd https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_openctd.graph Temperature and conductivity data collected during Citizen Science campaigns aboard the Swan Hellenic SH Vega using OpenCTD Dataset of Temperature and Salinity data in the water column collected by OpenCTD during Swan Hellenic expeditions. OpenCTD is a oceanographic instrument designed for budget-restricted scientists, educators, and researchers working in nearshore coastal ecosystems. cdm_data_type = Point VARIABLES: ADATAA01 (seconds since 1970-01-01T00:00:00Z) Hour time (seconds since 1970-01-01T00:00:00Z) depth (m) TEMP (Temperature) PSLTZZ01 PRESPR01 TEMPPR01 TEMPPR02 TEMPPR03 CNDCZZ01 TEMPPR01_QC TEMPPR02_QC TEMPPR03_QC CNDCZZ01_QC latitude (degrees_north) longitude (degrees_east) notes https://erddap.s4raise.it/erddap/metadata/fgdc/xml/swan_hellenic_openctd_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/swan_hellenic_openctd_iso19115.xml https://erddap.s4raise.it/erddap/info/swan_hellenic_openctd/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/swan_hellenic_openctd.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=swan_hellenic_openctd&showErrors=false&email= ETT, Swan Hellenic swan_hellenic_openctd
https://erddap.s4raise.it/erddap/tabledap/envlogger_0443_0B00_FC09_09.subset https://erddap.s4raise.it/erddap/tabledap/envlogger_0443_0B00_FC09_09 https://erddap.s4raise.it/erddap/tabledap/envlogger_0443_0B00_FC09_09.graph Temperature data collected during Citizen Science activities using EnvLogger sensor (0443 0B00 FC09 09) EnvLogger is a miniaturised temperature logger to support marine environmental research. Data is downloaded by a mobile app and RAISE developed the data processing pipeline and its automation cdm_data_type = Point VARIABLES: time (seconds since 1970-01-01T00:00:00Z) temp (Temperature, degree_Celsius) serial_number sensor_id latitude (degrees_north) longitude (degrees_east) accuracy (GPS Position Accuracy, meter) depth (Sensor depth, m) sampling_resolution https://erddap.s4raise.it/erddap/metadata/fgdc/xml/envlogger_0443_0B00_FC09_09_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/envlogger_0443_0B00_FC09_09_iso19115.xml https://erddap.s4raise.it/erddap/info/envlogger_0443_0B00_FC09_09/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/envlogger_0443_0B00_FC09_09.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=envlogger_0443_0B00_FC09_09&showErrors=false&email= ETT envlogger_0443_0B00_FC09_09
https://erddap.s4raise.it/erddap/tabledap/envlogger_0457_9200_461D_0D.subset https://erddap.s4raise.it/erddap/tabledap/envlogger_0457_9200_461D_0D https://erddap.s4raise.it/erddap/tabledap/envlogger_0457_9200_461D_0D.graph Temperature data collected during Citizen Science activities using EnvLogger sensor (0457 9200 461D 0D) EnvLogger is a miniaturised temperature logger to support marine environmental research. Data is downloaded by a mobile app and RAISE developed the data processing pipeline and its automation cdm_data_type = Point VARIABLES: time (seconds since 1970-01-01T00:00:00Z) temp (Temperature, degree_Celsius) serial_number sensor_id latitude (degrees_north) longitude (degrees_east) accuracy (GPS Position Accuracy, meter) depth (Sensor depth, m) sampling_resolution https://erddap.s4raise.it/erddap/metadata/fgdc/xml/envlogger_0457_9200_461D_0D_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/envlogger_0457_9200_461D_0D_iso19115.xml https://erddap.s4raise.it/erddap/info/envlogger_0457_9200_461D_0D/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/envlogger_0457_9200_461D_0D.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=envlogger_0457_9200_461D_0D&showErrors=false&email= ETT envlogger_0457_9200_461D_0D
https://erddap.s4raise.it/erddap/tabledap/envlogger_0475_3A00_FF2D_05.subset https://erddap.s4raise.it/erddap/tabledap/envlogger_0475_3A00_FF2D_05 https://erddap.s4raise.it/erddap/tabledap/envlogger_0475_3A00_FF2D_05.graph Temperature data collected during Citizen Science activities using EnvLogger sensor (0475 3A00 FF2D 05) EnvLogger is a miniaturised temperature logger to support marine environmental research. Data is downloaded by a mobile app and RAISE developed the data processing pipeline and its automation cdm_data_type = Point VARIABLES: time (seconds since 1970-01-01T00:00:00Z) temp (Temperature, degree_Celsius) serial_number sensor_id latitude (degrees_north) longitude (degrees_east) accuracy (GPS Position Accuracy, meter) depth (Sensor depth, m) sampling_resolution https://erddap.s4raise.it/erddap/metadata/fgdc/xml/envlogger_0475_3A00_FF2D_05_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/envlogger_0475_3A00_FF2D_05_iso19115.xml https://erddap.s4raise.it/erddap/info/envlogger_0475_3A00_FF2D_05/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/envlogger_0475_3A00_FF2D_05.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=envlogger_0475_3A00_FF2D_05&showErrors=false&email= ETT envlogger_0475_3A00_FF2D_05
https://erddap.s4raise.it/erddap/tabledap/envlogger_047E_2300_6F1E_0A.subset https://erddap.s4raise.it/erddap/tabledap/envlogger_047E_2300_6F1E_0A https://erddap.s4raise.it/erddap/tabledap/envlogger_047E_2300_6F1E_0A.graph Temperature data collected during Citizen Science activities using EnvLogger sensor (047E 2300 6F1E 0A) EnvLogger is a miniaturised temperature logger to support marine environmental research. Data is downloaded by a mobile app and RAISE developed the data processing pipeline and its automation cdm_data_type = Point VARIABLES: time (seconds since 1970-01-01T00:00:00Z) temp (Temperature, degree_Celsius) serial_number sensor_id latitude (degrees_north) longitude (degrees_east) accuracy (GPS Position Accuracy, meter) depth (Sensor depth, m) sampling_resolution https://erddap.s4raise.it/erddap/metadata/fgdc/xml/envlogger_047E_2300_6F1E_0A_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/envlogger_047E_2300_6F1E_0A_iso19115.xml https://erddap.s4raise.it/erddap/info/envlogger_047E_2300_6F1E_0A/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/envlogger_047E_2300_6F1E_0A.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=envlogger_047E_2300_6F1E_0A&showErrors=false&email= ETT envlogger_047E_2300_6F1E_0A
https://erddap.s4raise.it/erddap/tabledap/envlogger_0484_0C00_220F_07.subset https://erddap.s4raise.it/erddap/tabledap/envlogger_0484_0C00_220F_07 https://erddap.s4raise.it/erddap/tabledap/envlogger_0484_0C00_220F_07.graph Temperature data collected during Citizen Science activities using EnvLogger sensor (0484 0C00 220F 07) EnvLogger is a miniaturised temperature logger to support marine environmental research. Data is downloaded by a mobile app and RAISE developed the data processing pipeline and its automation cdm_data_type = Point VARIABLES: time (seconds since 1970-01-01T00:00:00Z) temp (Temperature, degree_Celsius) serial_number sensor_id latitude (degrees_north) longitude (degrees_east) accuracy (GPS Position Accuracy, meter) depth (Sensor depth, m) sampling_resolution https://erddap.s4raise.it/erddap/metadata/fgdc/xml/envlogger_0484_0C00_220F_07_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/envlogger_0484_0C00_220F_07_iso19115.xml https://erddap.s4raise.it/erddap/info/envlogger_0484_0C00_220F_07/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/envlogger_0484_0C00_220F_07.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=envlogger_0484_0C00_220F_07&showErrors=false&email= ETT envlogger_0484_0C00_220F_07
https://erddap.s4raise.it/erddap/tabledap/smartbay_ctd-calibrated_enea.subset https://erddap.s4raise.it/erddap/tabledap/smartbay_ctd-calibrated_enea https://erddap.s4raise.it/erddap/tabledap/smartbay_ctd-calibrated_enea.graph https://erddap.s4raise.it/erddap/files/smartbay_ctd-calibrated_enea/ The "Smart Bay Santa Teresa Underwater Observatory" - CDT calibrated data In July 2024 a preliminary real-time monitoring and transmission system based on wireless underwater networking (IoUT) has been implemented in the harbour of La Spezia, aiming to create an early warning system for temperature increase and to monitor oxygen and pH level. Currently the Smart Bay Santa Teresa Underwater Observatory is equipped with a system of transmission nodes (EMBRC-UP) connected to advanced probes (RAISE), distributed in 12 stations throughout the Gulf. Physical-chemical data (temperature, dissolved oxygen, pH, conductivity, current, turbidity, chlorophyll) are acquired with a frequency of 1 data per hour and transmitted in real time, validated with analytical approaches and weekly and monthly measurement campaigns conducted by ENEA. Biogeochemical are analytically measured (total alkalinity, pH) and derived (pCO2, saturation state, dissolved inorganic carbon) weekly and monthly, together with high precision data profiles (measured by means of a CTD probe). cdm_data_type = Point VARIABLES: time (Date Time(UTC), seconds since 1970-01-01T00:00:00Z) Depth (m) Pressure (db) Temperature (degrees_C) Conductivity (Sea Water Electrical Conductivity, mS/cm) Oxygen_mg_l (Oxygen, mg/l) Chlorophyll (Concentration Of Chlorophyll In Sea Water, ug/l) Turbidity pH_NBS Salinity (Sea Water Practical Salinity, PSU) Density_Kg_m3 (Density, Kg/m^3) Oxygen_ml_l (Oxygen, ml/l) Oxygen_umol_l (Oxygen, umol/l) Oxygen_percentage (Oxygen, %) Density_Kg_m3_1000 (Density, Kg/m^3-1000)) Sound_Velocity (m/s) pH_T ... (7 more variables) https://erddap.s4raise.it/erddap/metadata/fgdc/xml/smartbay_ctd-calibrated_enea_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/smartbay_ctd-calibrated_enea_iso19115.xml https://erddap.s4raise.it/erddap/info/smartbay_ctd-calibrated_enea/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/smartbay_ctd-calibrated_enea.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=smartbay_ctd-calibrated_enea&showErrors=false&email= ENEA smartbay_ctd-calibrated_enea
https://erddap.s4raise.it/erddap/tabledap/smartbay_current_enea.subset https://erddap.s4raise.it/erddap/tabledap/smartbay_current_enea https://erddap.s4raise.it/erddap/tabledap/smartbay_current_enea.graph https://erddap.s4raise.it/erddap/files/smartbay_current_enea/ The "Smart Bay Santa Teresa Underwater Observatory" - Current data In July 2024 a preliminary real-time monitoring and transmission system based on wireless underwater networking (IoUT) has been implemented in the harbour of La Spezia, aiming to create an early warning system for temperature increase and to monitor oxygen and pH level. Currently the Smart Bay Santa Teresa Underwater Observatory is equipped with a system of transmission nodes (EMBRC-UP) connected to advanced probes (RAISE), distributed in 12 stations throughout the Gulf. Physical-chemical data (temperature, dissolved oxygen, pH, conductivity, current, turbidity, chlorophyll) are acquired with a frequency of 1 data per hour and transmitted in real time, validated with analytical approaches and weekly and monthly measurement campaigns conducted by ENEA. Biogeochemical are analytically measured (total alkalinity, pH) and derived (pCO2, saturation state, dissolved inorganic carbon) weekly and monthly, together with high precision data profiles (measured by means of a CTD probe). cdm_data_type = Point VARIABLES: time (Date Time(UTC), seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) Temperature (Temperature(degrees C), degrees C) Direction (degrees) Velocity (m/s) Heading (degrees) North_Velocity_m_s (North Velocity, m/s) East_Velocity_m_s (East Velocity, m/s) Echo_Amplitude_dB (d B) Echo_Amplitude_mW (Echo Amplitude, mW) Station Name Profondita Bottom_depth Declinazione_Magnetica Probe_S_N https://erddap.s4raise.it/erddap/metadata/fgdc/xml/smartbay_current_enea_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/smartbay_current_enea_iso19115.xml https://erddap.s4raise.it/erddap/info/smartbay_current_enea/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/smartbay_current_enea.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=smartbay_current_enea&showErrors=false&email= ENEA smartbay_current_enea
https://erddap.s4raise.it/erddap/tabledap/smartbay_co2_enea.subset https://erddap.s4raise.it/erddap/tabledap/smartbay_co2_enea https://erddap.s4raise.it/erddap/tabledap/smartbay_co2_enea.graph https://erddap.s4raise.it/erddap/files/smartbay_co2_enea/ The "Smart Bay Santa Teresa Underwater Observatory"- Carbon dioxide data In July 2024 a preliminary real-time monitoring and transmission system based on wireless underwater networking (IoUT) has been implemented in the harbour of La Spezia, aiming to create an early warning system for temperature increase and to monitor oxygen and pH level. Currently the Smart Bay Santa Teresa Underwater Observatory is equipped with a system of transmission nodes (EMBRC-UP) connected to advanced probes (RAISE), distributed in 12 stations throughout the Gulf. Physical-chemical data (temperature, dissolved oxygen, pH, conductivity, current, turbidity, chlorophyll) are acquired with a frequency of 1 data per hour and transmitted in real time, validated with analytical approaches and weekly and monthly measurement campaigns conducted by ENEA. Biogeochemical are analytically measured (total alkalinity, pH) and derived (pCO2, saturation state, dissolved inorganic carbon) weekly and monthly, together with high precision data profiles (measured by means of a CTD probe). cdm_data_type = Point VARIABLES: time (Date Time(UTC), seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) CO2 (ppm) Internal_Temperature_IRGA (degrees_C) Relative_Humidity Internal_Temperature_Sensore_Humidity (degrees_C) Cell_Pressure (h Pa) Battery_Voltage (V) pCO2_mbar (pCO2, mbar) pCO2_Pa (pCO2, Pa) pCO2_uatm (pCO2, uatm) Station Name Profondita Bottom_depth Probe_S_N https://erddap.s4raise.it/erddap/metadata/fgdc/xml/smartbay_co2_enea_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/smartbay_co2_enea_iso19115.xml https://erddap.s4raise.it/erddap/info/smartbay_co2_enea/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/smartbay_co2_enea.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=smartbay_co2_enea&showErrors=false&email= ENEA smartbay_co2_enea
https://erddap.s4raise.it/erddap/tabledap/unige-dicca_forecast_ww3_point_camogli.subset https://erddap.s4raise.it/erddap/tabledap/unige-dicca_forecast_ww3_point_camogli https://erddap.s4raise.it/erddap/tabledap/unige-dicca_forecast_ww3_point_camogli.graph https://erddap.s4raise.it/erddap/files/unige-dicca_forecast_ww3_point_camogli/ Wave Forecast for Coastal Erosion Applications - east point Five days hourly forecast of ocean waves in the proximity of the Ligurian coastline for coastal risk applications- east point cdm_data_type = Grid VARIABLES: time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) dir (Wave mean direction, degree) dp (Peak direction, degree) fp (Wave peak frequency, s-1) hs (Significant height of wind and swell waves, m) tm (Mean period, s) forecast_date https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-dicca_forecast_ww3_point_camogli_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-dicca_forecast_ww3_point_camogli_iso19115.xml https://erddap.s4raise.it/erddap/info/unige-dicca_forecast_ww3_point_camogli/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/unige-dicca_forecast_ww3_point_camogli.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_forecast_ww3_point_camogli&showErrors=false&email= UNIGE-DICCA unige-dicca_forecast_ww3_point_camogli
https://erddap.s4raise.it/erddap/tabledap/unige-dicca_forecast_ww3_point_ovest.subset https://erddap.s4raise.it/erddap/tabledap/unige-dicca_forecast_ww3_point_ovest https://erddap.s4raise.it/erddap/tabledap/unige-dicca_forecast_ww3_point_ovest.graph https://erddap.s4raise.it/erddap/files/unige-dicca_forecast_ww3_point_ovest/ Wave Forecast for Coastal Erosion Applications - ovest point Five days hourly forecast of ocean waves in the proximity of the Ligurian coastline for coastal risk applications- ovest point cdm_data_type = Grid VARIABLES: time (seconds since 1970-01-01T00:00:00Z) latitude (degrees_north) longitude (degrees_east) dir (Wave mean direction, degree) dp (Peak direction, degree) fp (Wave peak frequency, s-1) hs (Significant height of wind and swell waves, m) tm (Mean period, s) forecast_date https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-dicca_forecast_ww3_point_ovest_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-dicca_forecast_ww3_point_ovest_iso19115.xml https://erddap.s4raise.it/erddap/info/unige-dicca_forecast_ww3_point_ovest/index.xhtml https://www.raiseliguria.it/spoke-3/ https://erddap.s4raise.it/erddap/rss/unige-dicca_forecast_ww3_point_ovest.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_forecast_ww3_point_ovest&showErrors=false&email= UNIGE-DICCA unige-dicca_forecast_ww3_point_ovest