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| griddap | Subset | tabledap | Make A Graph | wms | files | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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\n\ncdm_data_type = Grid\nVARIABLES:\nurl\ntime (seconds since 1970-01-01T00:00:00Z)\nname (File Name)\nlastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)\nsize (bytes)\nfileType (File Type)\n | https://erddap.s4raise.it/erddap/info/unige-dicca_waves_animation/index.htmlTable | 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\n\ncdm_data_type = Grid\nVARIABLES:\nurl\ntime (seconds since 1970-01-01T00:00:00Z)\nname (File Name)\nlastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)\nsize (bytes)\nfileType (File Type)\n | https://erddap.s4raise.it/erddap/info/unige-dicca_wind_animation_1_1km/index.htmlTable | 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\n\ncdm_data_type = Grid\nVARIABLES:\nurl\ntime (seconds since 1970-01-01T00:00:00Z)\nname (File Name)\nlastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)\nsize (bytes)\nfileType (File Type)\n | https://erddap.s4raise.it/erddap/info/unige-dicca_wind_animation_3_3km/index.htmlTable | 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/griddap/unige-dicca_forecast_fat_10km_04 | https://erddap.s4raise.it/erddap/griddap/unige-dicca_forecast_fat_10km_04.graph | https://erddap.s4raise.it/erddap/files/unige-dicca_forecast_fat_10km_04/ | 5 days 10 km resolution forecast over Southern Europe and Mediterranean basin (04) | 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][y][x]):\nu_component_of_wind_height_above_ground (u-component of wind @ Specified height level above ground, m/s)\nv_component_of_wind_height_above_ground (v-component of wind @ Specified height level above ground, m/s)\n | https://erddap.s4raise.it/erddap/info/unige-dicca_forecast_fat_10km_04/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-dicca_forecast_fat_10km_04.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_forecast_fat_10km_04&showErrors=false&email= | UNIGE-DICCA | unige-dicca_forecast_fat_10km_04 | |||||
| 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\n\ncdm_data_type = Grid\nVARIABLES:\nurl\ntime (seconds since 1970-01-01T00:00:00Z)\nname (File Name)\nlastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)\nsize (bytes)\nfileType (File Type)\n | https://erddap.s4raise.it/erddap/info/unige-dicca_wind_animation_10km/index.htmlTable | 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/griddap/cmems_obs_oc_med_bgc_tur-spm-chl_nrt_l3_hr_mosaic_P1D_m | https://erddap.s4raise.it/erddap/griddap/cmems_obs_oc_med_bgc_tur-spm-chl_nrt_l3_hr_mosaic_P1D_m.graph | https://erddap.s4raise.it/erddap/wms/cmems_obs_oc_med_bgc_tur-spm-chl_nrt_l3_hr_mosaic_P1D_m/request | https://erddap.s4raise.it/erddap/files/cmems_obs_oc_med_bgc_tur-spm-chl_nrt_l3_hr_mosaic_P1D_m/ | CMEMS HR-OC Mediterranean Sea transparency (spm, tur) and geophysical (chl) daily observations mosaic | CMEMS HR-OC Mediterranean Sea transparency (spm, tur) and geophysical (chl) daily observations mosaic\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nCHL (Chlorophyll-a concentration derived from MSI L2R using HR-OC L2W processor, mg m-3)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cmems_obs_oc_med_bgc_tur-spm-chl_nrt_l3_hr_mosaic_P1D_m_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cmems_obs_oc_med_bgc_tur-spm-chl_nrt_l3_hr_mosaic_P1D_m_iso19115.xml | https://erddap.s4raise.it/erddap/info/cmems_obs_oc_med_bgc_tur-spm-chl_nrt_l3_hr_mosaic_P1D_m/index.htmlTable | https://marine.copernicus.eu/
| https://erddap.s4raise.it/erddap/rss/cmems_obs_oc_med_bgc_tur-spm-chl_nrt_l3_hr_mosaic_P1D_m.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cmems_obs_oc_med_bgc_tur-spm-chl_nrt_l3_hr_mosaic_P1D_m&showErrors=false&email= | Brockmann Consult GmbH, RBINS, VITO for CMEMS, Mercator Ocean | cmems_obs_oc_med_bgc_tur-spm-chl_nrt_l3_hr_mosaic_P1D_m | ||
| 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.\n\ncdm_data_type = Point\nVARIABLES:\nEventID (Event ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDepth_Km (Depth)\nAuthor\nCatalog\nContributor\nContributorID (Contributor ID)\nMagType (Mag Type)\nMagnitude\nMagAuthor (Mag Author)\nEventLocationName (Event Location Name)\n | 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.htmlTable | ??? | 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\n\ncdm_data_type = Grid\nVARIABLES:\nurl\ntime (seconds since 1970-01-01T00:00:00Z)\nname (File Name)\nlastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)\nsize (bytes)\nfileType (File Type)\n | https://erddap.s4raise.it/erddap/info/noaa_wind_animation_10km/index.htmlTable | ??? | 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/griddap/noaa_forecast_gfs_humidity | https://erddap.s4raise.it/erddap/griddap/noaa_forecast_gfs_humidity.graph | https://erddap.s4raise.it/erddap/files/noaa_forecast_gfs_humidity/ | Global Forecast System (GFS) model - Relative humidity at ground level | Global Forecast System (GFS) model - Relative humidity at ground level\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nRelative_humidity_height_above_ground\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/noaa_forecast_gfs_humidity_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/noaa_forecast_gfs_humidity_iso19115.xml | https://erddap.s4raise.it/erddap/info/noaa_forecast_gfs_humidity/index.htmlTable | http://188.166.63.249/thredds/dodsC/SINDBAD-GFS-1HR/SINDBAD-GFS-Relative_humidity_height_above_ground.nc.html
| https://erddap.s4raise.it/erddap/rss/noaa_forecast_gfs_humidity.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=noaa_forecast_gfs_humidity&showErrors=false&email= | NOAA | noaa_forecast_gfs_humidity | |||
| https://erddap.s4raise.it/erddap/griddap/noaa_forecast_gfs_temperature_height_above_ground | https://erddap.s4raise.it/erddap/griddap/noaa_forecast_gfs_temperature_height_above_ground.graph | https://erddap.s4raise.it/erddap/files/noaa_forecast_gfs_temperature_height_above_ground/ | Global Forecast System (GFS) model - Temperature heght above ground | Global Forecast System (GFS) model - Temperature heght above ground\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nTemperature_height_above_ground\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/noaa_forecast_gfs_temperature_height_above_ground_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/noaa_forecast_gfs_temperature_height_above_ground_iso19115.xml | https://erddap.s4raise.it/erddap/info/noaa_forecast_gfs_temperature_height_above_ground/index.htmlTable | http://188.166.63.249/thredds/dodsC/SINDBAD-GFS-1HR/SINDBAD-GFS-Temperature_height_above_ground.nc.html
| https://erddap.s4raise.it/erddap/rss/noaa_forecast_gfs_temperature_height_above_ground.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=noaa_forecast_gfs_temperature_height_above_ground&showErrors=false&email= | NOAA | noaa_forecast_gfs_temperature_height_above_ground | |||
| https://erddap.s4raise.it/erddap/griddap/noaa_forecast_gfs_temperature_isobaric | https://erddap.s4raise.it/erddap/griddap/noaa_forecast_gfs_temperature_isobaric.graph | https://erddap.s4raise.it/erddap/wms/noaa_forecast_gfs_temperature_isobaric/request | https://erddap.s4raise.it/erddap/files/noaa_forecast_gfs_temperature_isobaric/ | Global Forecast System (GFS) model - Temperature isobaric | Global Forecast System (GFS) model - Temperature isobaric\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][isobaric][latitude][longitude]):\nTemperature_isobaric (K)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/noaa_forecast_gfs_temperature_isobaric_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/noaa_forecast_gfs_temperature_isobaric_iso19115.xml | https://erddap.s4raise.it/erddap/info/noaa_forecast_gfs_temperature_isobaric/index.htmlTable | http://188.166.63.249/thredds/dodsC/SINDBAD-GFS-1HR/SINDBAD-GFS-Temperature_isobaric.nc.html
| https://erddap.s4raise.it/erddap/rss/noaa_forecast_gfs_temperature_isobaric.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=noaa_forecast_gfs_temperature_isobaric&showErrors=false&email= | NOAA | noaa_forecast_gfs_temperature_isobaric | ||
| https://erddap.s4raise.it/erddap/griddap/noaa_forecast_gfs_wind | https://erddap.s4raise.it/erddap/griddap/noaa_forecast_gfs_wind.graph | https://erddap.s4raise.it/erddap/files/noaa_forecast_gfs_wind/ | Global Forecast System (GFS) model - Wind | Global Forecast System (GFS) model - Wind\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\neastward_component_of_wind_height_above_ground (m/s)\nnorthward_component_of_wind_height_above_ground (m/s)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/noaa_forecast_gfs_wind_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/noaa_forecast_gfs_wind_iso19115.xml | https://erddap.s4raise.it/erddap/info/noaa_forecast_gfs_wind/index.htmlTable | http://188.166.63.249/thredds/dodsC/SINDBAD-GFS-1HR/SINDBAD-GFS-wind_height_above_ground.nc.html
| https://erddap.s4raise.it/erddap/rss/noaa_forecast_gfs_wind.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=noaa_forecast_gfs_wind&showErrors=false&email= | NOAA | noaa_forecast_gfs_wind | |||
| https://erddap.s4raise.it/erddap/griddap/cnr-ismar_HFRADAR_TIRLIG_Totals | https://erddap.s4raise.it/erddap/griddap/cnr-ismar_HFRADAR_TIRLIG_Totals.graph | https://erddap.s4raise.it/erddap/wms/cnr-ismar_HFRADAR_TIRLIG_Totals/request | HF RADAR TOTAL, TirLig (HFRADAR TIRLIG Totals), 2019-present | High Frequency (HF) RADAR TOTAL - TirLig. National Research Council - Institute of Marine Science - S.S. Lerici; National Research Council - Institute of Marine Science; S.S. Lerici data from https://erddap.emodnet-physics.eu/erddap/griddap/HFRADAR_TIRLIG_Totals.das .\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nEWCT (West-east current component, m s-1)\nNSCT (South-north current component, m s-1)\nEWCS (Standard deviation of surface eastward sea water velocity, m s-1)\nNSCS (Standard deviation of surface northward sea water velocity, m s-1)\nCCOV (Covariance of surface sea water velocity, m2 s-2)\nGDOP (Geometrical dilution of precision, 1)\nPOSITION_QC (Position quality flag, 1)\nQCflag (Overall quality flag, 1)\nVART_QC (Variance threshold quality flag, 1)\nGDOP_QC (GDOP threshold quality flag, 1)\nDDNS_QC (Data density threshold quality flag, 1)\nCSPD_QC (Velocity threshold quality flag, 1)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cnr-ismar_HFRADAR_TIRLIG_Totals_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cnr-ismar_HFRADAR_TIRLIG_Totals_iso19115.xml | https://erddap.s4raise.it/erddap/info/cnr-ismar_HFRADAR_TIRLIG_Totals/index.htmlTable | https://www.hfrnode.eu/
| https://erddap.s4raise.it/erddap/rss/cnr-ismar_HFRADAR_TIRLIG_Totals.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cnr-ismar_HFRADAR_TIRLIG_Totals&showErrors=false&email= | National Research Council - Institute of Marine Science - S.S. Lerici; National Research Council - Institute of Marine Science; S.S. Lerici | cnr-ismar_HFRADAR_TIRLIG_Totals | |||
| https://erddap.s4raise.it/erddap/griddap/cmems_mod_med_phy-cur_anfc_4_2km_3D_PT1H_m | https://erddap.s4raise.it/erddap/griddap/cmems_mod_med_phy-cur_anfc_4_2km_3D_PT1H_m.graph | https://erddap.s4raise.it/erddap/wms/cmems_mod_med_phy-cur_anfc_4_2km_3D_PT1H_m/request | https://erddap.s4raise.it/erddap/files/cmems_mod_med_phy-cur_anfc_4_2km_3D_PT1H_m/ | Horizontal Velocity (3D), Hourly Mean | Horizontal Velocity (3D) - Hourly Mean. Please check in CMEMS catalogue the INFO section for product MEDSEA_ANALYSISFORECAST_PHY_006_013 - http://marine.copernicus.eu\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nuo (eastward ocean current velocity, m s-1)\nvo (northward ocean current velocity, m s-1)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cmems_mod_med_phy-cur_anfc_4_2km_3D_PT1H_m_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cmems_mod_med_phy-cur_anfc_4_2km_3D_PT1H_m_iso19115.xml | https://erddap.s4raise.it/erddap/info/cmems_mod_med_phy-cur_anfc_4_2km_3D_PT1H_m/index.htmlTable | https://www.ec.gc.ca/scitech/default.asp?lang=En&n=61B33C26-1#cmc
| https://erddap.s4raise.it/erddap/rss/cmems_mod_med_phy-cur_anfc_4_2km_3D_PT1H_m.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cmems_mod_med_phy-cur_anfc_4_2km_3D_PT1H_m&showErrors=false&email= | Centro Euro-Mediterraneo sui Cambiamenti Climatici - CMCC, Italy | cmems_mod_med_phy-cur_anfc_4_2km_3D_PT1H_m | ||
| 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).\n\ncdm_data_type = Other\nVARIABLES:\ndate\nhour\ntime (seconds since 1970-01-01T00:00:00Z)\ntime_cet (seconds since 1970-01-01T00:00:00Z)\nPress\nTemp (Temperature)\nCond\nSal (Sal.)\nsensor_id\n | https://erddap.s4raise.it/erddap/info/MEDA2_CTD_ALL_RAW/index.htmlTable | 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).\n\ncdm_data_type = Other\nVARIABLES:\ndate\nhour\ntime (seconds since 1970-01-01T00:00:00Z)\ntime_cet (seconds since 1970-01-01T00:00:00Z)\nPress\nTemp (Temperature)\nCond\nSal (Sal.)\nsensor_id\n | https://erddap.s4raise.it/erddap/info/MEDA2_CTD_LAST_RAW/index.htmlTable | 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).\n\ncdm_data_type = Other\nVARIABLES:\nPLATFORMCODE\nString_ID\ntime (seconds since 1970-01-01T00:00:00Z)\ntime_cet (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nDate (seconds since 1970-01-01T00:00:00Z)\nTime\nCell_number\nEWCT (West-east current component, m/s)\nNSCT (South-north current component, m/s)\nUVCT (Upward current velocity, m/s)\nSpeed (m/s)\nDirection (degrees)\n | 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.htmlTable | 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)\n\ncdm_data_type = Other\nVARIABLES:\nPLATFORMCODE\nString_ID\ntime (seconds since 1970-01-01T00:00:00Z)\ntime_cet (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (seconds since 1970-01-01T00:00:00Z)\nTime\nAIR_PRES (Aire Pressure)\nWSPD (Wind Speed, m/s)\nWDIR (Direction relative to true north from which the wind is blowing, degrees_north)\nAIR_TEMP (Air temperature, degrees_Celsius)\nHumidity (Relative humidity)\nPSAL (Salinity, psu)\n | 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.htmlTable | 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).\n\ncdm_data_type = Other\nVARIABLES:\nPLATFORMCODE\nString_ID\ntime (seconds since 1970-01-01T00:00:00Z)\ntime_cet (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (seconds since 1970-01-01T00:00:00Z)\nTime\nspectrum_type\nprocessing_method\nVGHS (HM0 significant wave height, m)\nH3 (H3 Mean 1/3 Height, m)\nH10 (H3 Mean 1/10 Height, m)\nHmax (Maximum Height, m)\nTm02 (Mean Period, s)\nTp (Peak Period, s)\nTz (Mean Zero-crossing Period, s)\nDirTp (Peak Direction, degrees_north)\nSprTp (Directional Spread, degrees_north)\nMdir (Mean Direction, degrees_north)\n | 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.htmlTable | 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).\n\ncdm_data_type = Other\nVARIABLES:\nPLATFORMCODE\nString_ID\ntime (seconds since 1970-01-01T00:00:00Z)\ntime_cet (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (seconds since 1970-01-01T00:00:00Z)\nTime\nspectrum_type\nprocessing_method\nVGHS (HM0 significant wave height, m)\nH3 (H3 Mean 1/3 Height, m)\nH10 (H3 Mean 1/10 Height, m)\nHmax (Maximum Height, m)\nTm02 (Mean Period, s)\nTp (Peak Period, s)\nTz (Mean Zero-crossing Period, s)\nDirTp (Peak Direction, degrees_north)\nSprTp (Directional Spread, degrees_north)\nMdir (Mean Direction, degrees_north)\n | 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.htmlTable | 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/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.\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\n | 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.htmlTable | 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\n\ncdm_data_type = Other\nVARIABLES:\nPLATFORMCODE\nString_ID\ntime (seconds since 1970-01-01T00:00:00Z)\ntime_cet (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndate\nhour\nPress\nTemp (Temperature)\nCond\nSal (Sal.)\n | 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.htmlTable | 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/griddap/unige-distav_camogli_runup_scirocco | https://erddap.s4raise.it/erddap/griddap/unige-distav_camogli_runup_scirocco.graph | https://erddap.s4raise.it/erddap/wms/unige-distav_camogli_runup_scirocco/request | https://erddap.s4raise.it/erddap/files/unige-distav_camogli_runup_scirocco/ | Maximum wave run-up considering SE storms | The dataset was generated using the XBeach model, a numerical tool developed to simulate the impacts of extreme events on coastal areas and their associated dynamics. In this case, the model was applied to 20 historical SE storm scenarios, also considering the storm surge (wave set-up), to estimate the wave run-up on the Camogli coast. The wave conditions were derived from the hindcast dataset produced by the MeteOcean research group at the University of Genoa (https://meteocean.science/#research), while the digital elevation model was constructed using a combination of field survey data and elevation data provided by Regione Liguria (https://geoportal.regione.liguria.it/). This approach makes it possible to define offshore wave conditions that may pose potential hazards to coastal infrastructure and human safety.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nzs (water level, m)\nzb (bed level, m)\nue (Eulerian velocity in cell centre, x-component, m/s)\nve (Eulerian velocity in cell centre, y-component, m/s)\nH (Hrms wave height based on instantaneous wave energy, m)\nE (wave energy, Nm/m2)\nL1 (wave length (used in dispersion relation), m)\nQb (fraction breaking waves)\nsedero (cum. sedimentation/erosion, m)\nthetamean (mean wave angle, rad)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-distav_camogli_runup_scirocco_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-distav_camogli_runup_scirocco_iso19115.xml | https://erddap.s4raise.it/erddap/info/unige-distav_camogli_runup_scirocco/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-distav_camogli_runup_scirocco.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-distav_camogli_runup_scirocco&showErrors=false&email= | UNIGE-DISTAV | unige-distav_camogli_runup_scirocco | ||
| https://erddap.s4raise.it/erddap/griddap/unige-distav_camogli_runup_libeccio | https://erddap.s4raise.it/erddap/griddap/unige-distav_camogli_runup_libeccio.graph | https://erddap.s4raise.it/erddap/wms/unige-distav_camogli_runup_libeccio/request | https://erddap.s4raise.it/erddap/files/unige-distav_camogli_runup_libeccio/ | Maximum wave run-up considering SW storms | The dataset was generated using the XBeach model, a numerical tool developed to simulate the impacts of extreme events on coastal areas and their associated dynamics. In this case, the model was applied to 20 historical SW storm scenarios, also considering the storm surge (wave set-up), to estimate the wave run-up on the Camogli coast. The wave conditions were derived from the hindcast dataset produced by the MeteOcean research group at the University of Genoa (https://meteocean.science/#research), while the digital elevation model was constructed using a combination of field survey data and elevation data provided by Regione Liguria (https://geoportal.regione.liguria.it/). This approach makes it possible to define offshore wave conditions that may pose potential hazards to coastal infrastructure and human safety.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nzs (water level, m)\nzb (bed level, m)\nue (Eulerian velocity in cell centre, x-component, m/s)\nve (Eulerian velocity in cell centre, y-component, m/s)\nH (Hrms wave height based on instantaneous wave energy, m)\nE (wave energy, Nm/m2)\nL1 (wave length (used in dispersion relation), m)\nQb (fraction breaking waves)\nsedero (cum. sedimentation/erosion, m)\nthetamean (mean wave angle, rad)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-distav_camogli_runup_libeccio_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-distav_camogli_runup_libeccio_iso19115.xml | https://erddap.s4raise.it/erddap/info/unige-distav_camogli_runup_libeccio/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-distav_camogli_runup_libeccio.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-distav_camogli_runup_libeccio&showErrors=false&email= | UNIGE-DISTAV | unige-distav_camogli_runup_libeccio | ||
| 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.\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nname\nlatitude (degrees_north)\nlongitude (degrees_east)\nurl\n | 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.htmlTable | 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.\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\naltitude (m)\nspeed\ntemperature\nhumidity\npressure\ndew_point\nsolar_radiation_index\nhumidex\ntag\npotential_temperature\nD\n | 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.htmlTable | 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.\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\naltitude (m)\nspeed\ncarbon_dioxide\npressure\nhumidity\ntemperature\ndew_point\nhumidex\npotential_temperature\ntag\nD\nvertical_temperature_gradient\nsolar_radiation_index\n | 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.htmlTable | 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.\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\naltitude (m)\nspeed\ntemperature\nhumidity\npressure\ndew_point\nsolar_radiation_index\nhumidex\ntag\nvertical_temperature_gradient\npotential_temperature\nD\n | 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.htmlTable | 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.\n\ncdm_data_type = Point\nVARIABLES:\nDateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z)\nTimezone\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nReport\nVoyage_state\nLocation\nVoyage_name\nSpeed_OG (kn)\nSpeed_TW (kn)\nTrue_wind_speed (Wind Speed, Bft)\nWind_direction_absolute (Wind From Direction)\nWave_height (Sea Surface Wave Significant Height)\nAir_temperature (degree_C)\nDraft_midship (m)\nTrim (m)\nDistance_OG (nm)\nDistance_TW (nm)\nSpeed_OG_QC\nSpeed_TW_QC\nTrue_wind_speed_QC\nWind_direction_absolute_QC (Wind Direction (absolute) QC)\nWave_height_QC\nAir_temperature_QC\n... (4 more variables)\n | 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.htmlTable | 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.\n\ncdm_data_type = Point\nVARIABLES:\nDateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z)\nTimezone\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nReport\nVoyage_state\nLocation\nVoyage_name\nShip_Speed (kn)\nTrue_wind_speed (Wind Speed, Bft)\nWind_direction_absolute (Wind From Direction)\nWave_height (Sea Surface Wave Significant Height)\nAir_temperature (degree_C)\nAtmosferic_pressure (Air Pressure, hPa)\nShip_Speed_kn_QC (Ship Speed [kn] QC)\nTrue_wind_speed_QC\nWind_direction_absolute_QC (Wind Direction (absolute) QC)\nWave_height_QC\nAir_temperature_QC\nDraft_midship_QC\n | 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.htmlTable | 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.\n\ncdm_data_type = Point\nVARIABLES:\nDateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z)\nTimezone\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nReport\nVoyage_state\nLocation\nVoyage_name\nSpeed_OG (kn)\nShip_Speed (kn)\nTrue_wind_speed (Wind Speed, Bft)\nWind_direction_absolute (Wind From Direction)\nWind_direction_true (degrees)\nWave_height (Sea Surface Wave Significant Height)\nAir_temperature (degree_C)\nAtmosferic_pressure (hPa)\nSpeed_OG_QC\nShip_Speed_QC\nTrue_wind_speed_QC\nWind_direction_absolute_QC (Wind Direction (absolute) QC)\nWind_direction_true_QC\nWave_height_QC\nAir_temperature_QC\nAtmosferic_pressure_QC\n | 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.htmlTable | 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.\n\ncdm_data_type = Point\nVARIABLES:\nDateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z)\nTimezone\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nReport\nVoyage_state\nLocation\nVoyage_name\nSpeed_OG (kn)\nShip_Speed (kn)\nTrue_wind_speed (Wind Speed, Bft)\nWind_direction_absolute (Wind From Direction)\nWind_direction_true (degrees)\nWave_height (Sea Surface Wave Significant Height)\nAir_temperature (degree_C)\nAtmosferic_pressure (hPa)\nSpeed_OG_QC\nShip_Speed_QC\nTrue_wind_speed_QC\nWind_direction_absolute_QC (Wind Direction (absolute) QC)\nWind_direction_true_QC\nWave_height_QC\nAir_temperature_QC\nAtmosferic_pressure_QC\n | 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.htmlTable | 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.\n\ncdm_data_type = Point\nVARIABLES:\nDateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z)\nTimezone\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nReport\nVoyage_state\nLocation\nVoyage_name\nSpeed_OG (kn)\nShip_Speed (kn)\nTrue_wind_speed (Wind Speed, Bft)\nWind_direction_absolute (Wind From Direction)\nWind_direction_true (degrees)\nWave_height (Sea Surface Wave Significant Height)\nAir_temperature (degree_C)\nAtmosferic_pressure (hPa)\nSpeed_OG_QC\nShip_Speed_QC\nTrue_wind_speed_QC\nWind_direction_absolute_QC (Wind Direction (absolute) QC)\nWind_direction_true_QC\nWave_height_QC\nAir_temperature_QC\nAtmosferic_pressure_QC\n | 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.htmlTable | 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.\n\ncdm_data_type = Point\nVARIABLES:\nDateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z)\nTimezone\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nReport\nVoyage_state\nLocation\nVoyage_name\nSpeed_OG (kn)\nShip_Speed (kn)\nTrue_wind_speed (Wind Speed, Bft)\nWind_direction_absolute (Wind From Direction)\nWind_direction_true (degrees)\nWave_height (Sea Surface Wave Significant Height)\nAir_temperature (degree_C)\nAtmosferic_pressure (hPa)\nSpeed_OG_QC\nShip_Speed_QC\nTrue_wind_speed_QC\nWind_direction_absolute_QC (Wind Direction (absolute) QC)\nWind_direction_true_QC\nWave_height_QC\nAir_temperature_QC\nAtmosferic_pressure_QC\n | 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.htmlTable | 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.\n\ncdm_data_type = Point\nVARIABLES:\nDateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z)\nTimezone\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nReport\nVoyage_state\nLocation\nVoyage_name\nSpeed_OG (kn)\nShip_Speed (kn)\nTrue_wind_speed (Wind Speed, Bft)\nWind_direction_absolute (Wind From Direction)\nWind_direction_true (degrees)\nWave_height (Sea Surface Wave Significant Height)\nAir_temperature (degree_C)\nAtmosferic_pressure (hPa)\nSpeed_OG_QC\nShip_Speed_QC\nTrue_wind_speed_QC\nWind_direction_absolute_QC (Wind Direction (absolute) QC)\nWind_direction_true_QC\nWave_height_QC\nAir_temperature_QC\nAtmosferic_pressure_QC\n | 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.htmlTable | 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.\n\ncdm_data_type = Point\nVARIABLES:\nDateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z)\nTimezone\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nReport\nVoyage_state\nLocation\nVoyage_name\nSpeed_OG (kn)\nShip_Speed (kn)\nTrue_wind_speed (Wind Speed, Bft)\nWind_direction_absolute (Wind From Direction)\nWind_direction_true (degrees)\nWave_height (Sea Surface Wave Significant Height)\nAir_temperature (degree_C)\nAtmosferic_pressure (hPa)\nSpeed_OG_QC\nShip_Speed_QC\nTrue_wind_speed_QC\nWind_direction_absolute_QC (Wind Direction (absolute) QC)\nWind_direction_true_QC\nWave_height_QC\nAir_temperature_QC\nAtmosferic_pressure_QC\n | 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.htmlTable | 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.\n\ncdm_data_type = Point\nVARIABLES:\nDateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z)\nTimezone\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nReport\nVoyage_state\nLocation\nVoyage_name\nSpeed_OG (kn)\nShip_Speed (kn)\nTrue_wind_speed (Wind Speed, Bft)\nWind_direction_absolute (Wind From Direction)\nWind_direction_true (degrees)\nWave_height (Sea Surface Wave Significant Height)\nAir_temperature (degree_C)\nAtmosferic_pressure (hPa)\nSpeed_OG_QC\nShip_Speed_QC\nTrue_wind_speed_QC\nWind_direction_absolute_QC (Wind Direction (absolute) QC)\nWind_direction_true_QC\nWave_height_QC\nAir_temperature_QC\nAtmosferic_pressure_QC\n | 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.htmlTable | 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.\n\ncdm_data_type = Point\nVARIABLES:\nDateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z)\nTimezone\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nReport\nVoyage_state\nLocation\nVoyage_name\nSpeed_OG (kn)\nShip_Speed (kn)\nTrue_wind_speed (Wind Speed, Bft)\nWind_direction_absolute (Wind From Direction)\nWind_direction_true (degrees)\nWave_height (Sea Surface Wave Significant Height)\nAir_temperature (degree_C)\nAtmosferic_pressure (hPa)\nSpeed_OG_QC\nShip_Speed_QC\nTrue_wind_speed_QC\nWind_direction_absolute_QC (Wind Direction (absolute) QC)\nWind_direction_true_QC\nWave_height_QC\nAir_temperature_QC\nAtmosferic_pressure_QC\n | 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.htmlTable | 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.\n\ncdm_data_type = Point\nVARIABLES:\nDateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z)\nTimezone\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nReport\nVoyage_state\nLocation\nVoyage_name\nSpeed_OG (kn)\nShip_Speed (kn)\nTrue_wind_speed (Wind Speed, Bft)\nWind_direction_absolute (Wind From Direction)\nWind_direction_true (degrees)\nWave_height (Sea Surface Wave Significant Height)\nAir_temperature (degree_C)\nAtmosferic_pressure (hPa)\nSpeed_OG_QC\nShip_Speed_QC\nTrue_wind_speed_QC\nWind_direction_absolute_QC (Wind Direction (absolute) QC)\nWind_direction_true_QC\nWave_height_QC\nAir_temperature_QC\nAtmosferic_pressure_QC\n | 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.htmlTable | 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.\n\ncdm_data_type = Point\nVARIABLES:\nDateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z)\nTimezone\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nReport\nVoyage_state\nLocation\nVoyage_name\nSpeed_OG (kn)\nShip_Speed (kn)\nTrue_wind_speed (Wind Speed, Bft)\nWind_direction_absolute (Wind From Direction)\nWind_direction_true (degrees)\nWave_height (Sea Surface Wave Significant Height)\nAir_temperature (degree_C)\nAtmosferic_pressure (hPa)\nSpeed_OG_QC\nShip_Speed_QC\nTrue_wind_speed_QC\nWind_direction_absolute_QC (Wind Direction (absolute) QC)\nWind_direction_true_QC\nWave_height_QC\nAir_temperature_QC\nAtmosferic_pressure_QC\n | 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.htmlTable | 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.\n\ncdm_data_type = Point\nVARIABLES:\nDateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z)\nTimezone\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nReport\nVoyage_state\nLocation\nVoyage_name\nSpeed_OG (kn)\nShip_Speed (kn)\nTrue_wind_speed (Wind Speed, Bft)\nWind_direction_absolute (Wind From Direction)\nWind_direction_true (degrees)\nWave_height (Sea Surface Wave Significant Height)\nAir_temperature (degree_C)\nAtmosferic_pressure (hPa)\nSpeed_OG_QC\nShip_Speed_QC\nTrue_wind_speed_QC\nWind_direction_absolute_QC (Wind Direction (absolute) QC)\nWind_direction_true_QC\nWave_height_QC\nAir_temperature_QC\nAtmosferic_pressure_QC\n | 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.htmlTable | 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.\n\ncdm_data_type = Point\nVARIABLES:\nDateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z)\nTimezone\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nReport\nVoyage_state\nLocation\nVoyage_name\nSpeed_OG (kn)\nShip_Speed (kn)\nTrue_wind_speed (Wind Speed, Bft)\nWind_direction_absolute (Wind From Direction)\nWind_direction_true (degrees)\nWave_height (Sea Surface Wave Significant Height)\nAir_temperature (degree_C)\nAtmosferic_pressure (hPa)\nSpeed_OG_QC\nShip_Speed_QC\nTrue_wind_speed_QC\nWind_direction_absolute_QC (Wind Direction (absolute) QC)\nWind_direction_true_QC\nWave_height_QC\nAir_temperature_QC\nAtmosferic_pressure_QC\n | 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.htmlTable | 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.\n\ncdm_data_type = Point\nVARIABLES:\nDateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z)\nTimezone\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nReport\nVoyage_state\nLocation\nVoyage_name\nShip_Speed (kn)\nTrue_wind_speed (Wind Speed, Bft)\nWind_direction_absolute (Wind From Direction)\nWave_height (Sea Surface Wave Significant Height)\nAir_temperature (degree_C)\nAtmosferic_pressure (Air Pressure, hPa)\nShip_Speed_kn_QC (Ship Speed [kn] QC)\nTrue_wind_speed_QC\nWind_direction_absolute_QC (Wind Direction (absolute) QC)\nWave_height_QC\nAir_temperature_QC\nDraft_midship_QC\n | 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.htmlTable | 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.\n\ncdm_data_type = Point\nVARIABLES:\nDateTimeLocal (Date/time (local), seconds since 1970-01-01T00:00:00Z)\nTimezone\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nReport\nVoyage_state\nLocation\nVoyage_name\nShip_Speed (kn)\nTrue_wind_speed (Wind Speed, Bft)\nWind_direction_absolute (Wind From Direction)\nWave_height (Sea Surface Wave Significant Height)\nAir_temperature (degree_C)\nAtmosferic_pressure (Air Pressure, hPa)\nShip_Speed_kn_QC (Ship Speed [kn] QC)\nTrue_wind_speed_QC\nWind_direction_absolute_QC (Wind Direction (absolute) QC)\nWave_height_QC\nAir_temperature_QC\nDraft_midship_QC\n | 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.htmlTable | 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.\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\naltitude (m)\nspeed\ntemperature\nhumidity\npressure\ndew_point\nsolar_radiation_index\nhumidex\ntag\npotential_temperature\nD\n | 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.htmlTable | 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.\n\ncdm_data_type = Other\nVARIABLES:\next_id\ntime (seconds since 1970-01-01T00:00:00Z)\ncum\nrain_intensity\nair_temperature\nrelative_humidity\nair_pressure\nwind_speed\nwind_from_direction\nwind_gust (Wind Speed Of Gust)\nwind_gust_from_direction\nbattery\n | https://erddap.s4raise.it/erddap/info/ingv-lasomma_sensors_weather_ECOWITT001/index.htmlTable | 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.\n\ncdm_data_type = Other\nVARIABLES:\next_id\ntime (seconds since 1970-01-01T00:00:00Z)\ncum\nrain_intensity\nair_temperature\nrelative_humidity\nair_pressure\nwind_speed\nwind_from_direction\nwind_gust (Wind Speed Of Gust)\nwind_gust_from_direction\nbattery\n | https://erddap.s4raise.it/erddap/info/ingv-lasomma_sensors_weather_ECOWITT002/index.htmlTable | 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.\n\ncdm_data_type = Other\nVARIABLES:\next_id\ntime (seconds since 1970-01-01T00:00:00Z)\ncum\nrain_intensity\nair_temperature\nrelative_humidity\nair_pressure\nwind_speed\nwind_from_direction\nwind_gust (Wind Speed Of Gust)\nwind_gust_from_direction\nbattery\n | https://erddap.s4raise.it/erddap/info/ingv-lasomma_sensors_weather_ECOWITT003/index.htmlTable | 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.\n\ncdm_data_type = Other\nVARIABLES:\next_id\ntime (seconds since 1970-01-01T00:00:00Z)\ncum\nrain_intensity\nair_temperature\nrelative_humidity\nair_pressure\nwind_speed\nwind_from_direction\nwind_gust (Wind Speed Of Gust)\nwind_gust_from_direction\nbattery\n | https://erddap.s4raise.it/erddap/info/ingv-lasomma_sensors_weather_ECOWITT004/index.htmlTable | 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\n\ncdm_data_type = Other\nVARIABLES:\next_id\ncruise\nstation\ntype\ntime (seconds since 1970-01-01T00:00:00Z)\ntemp (Temperature)\npsal\nalky\ncpwc\nphyc\ntsed\nwbrx\ncmfl\ndeph\ndoxy_mg_l\ndoxy_perc\nqv_odv_sample\ntemp_qf\npsal_qf\nalky_qf\ncpwc_qf\nphyc_qf\ntsed_qf\nwbrx_qf\ncmfl_qf\n... (4 more variables)\n | https://erddap.s4raise.it/erddap/info/ingv-lasomma_sensors_data_sea_quality_stat_genova/index.htmlTable | 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\n\ncdm_data_type = Other\nVARIABLES:\next_id\ncruise\nstation\ntype\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntemp (Temperature)\npsal\nalky\ncpwc\nphyc\ntsed\nwbrx\ncmfl\ndeph\ndoxy_mg_l\ndoxy_perc\nqv_odv_sample\n | 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.htmlTable | 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\n\ncdm_data_type = Other\nVARIABLES:\next_id\ncruise\nstation\ntype\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntemp (Temperature)\npsal\nalky\ncpwc\nphyc\ntsed\nwbrx\ncmfl\ndeph\ndoxy_mg_l\ndoxy_perc\nqv_odv_sample\n | 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.htmlTable | 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\n\ncdm_data_type = Other\nVARIABLES:\next_id\ncruise\nstation\ntype\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntemp (Temperature)\npsal\nalky\ncpwc\nphyc\ntsed\nwbrx\ncmfl\ndeph\ndoxy_mg_l\ndoxy_perc\nqv_odv_sample\n | 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.htmlTable | 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\n\ncdm_data_type = Other\nVARIABLES:\next_id\ncruise\nstation\ntype\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntemp (Temperature)\npsal\nalky\ncpwc\nphyc\ntsed\nwbrx\ncmfl\ndeph\ndoxy_mg_l\ndoxy_perc\nqv_odv_sample\n | 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.htmlTable | 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.\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nname\nlatitude (degrees_north)\nlongitude (degrees_east)\nurl\n | 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.htmlTable | 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.\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nname\nlatitude (degrees_north)\nlongitude (degrees_east)\nurl\n | 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.htmlTable | 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.\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nname\nlatitude (degrees_north)\nlongitude (degrees_east)\nurl\n | 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.htmlTable | 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.\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nname\nlatitude (degrees_north)\nlongitude (degrees_east)\nurl\n | 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.htmlTable | 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/griddap/cmems_mod_med_bgc-pft_anfc_4_2km_P1D_m | https://erddap.s4raise.it/erddap/griddap/cmems_mod_med_bgc-pft_anfc_4_2km_P1D_m.graph | https://erddap.s4raise.it/erddap/wms/cmems_mod_med_bgc-pft_anfc_4_2km_P1D_m/request | https://erddap.s4raise.it/erddap/files/cmems_mod_med_bgc-pft_anfc_4_2km_P1D_m/ | Phytoplankton Carbon Biomass, Zooplankton Carbon Biomass, Chlorophyll and PFTs (3D), Daily Mean | Phytoplankton Carbon Biomass, Zooplankton Carbon Biomass, Chlorophyll and PFTs (3D) - Daily Mean. Please check in CMEMS catalogue the INFO section for product MEDSEA_ANALYSISFORECAST_BGC_006_014 - http://marine.copernicus.eu/\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nchl (Chlorophyll, mg m-3)\ndiatoC (Diatoms Carbon Biomass, MMol' 'M-3)\ndiatoChla (Diatoms Chlorophyll concentration, mg m-3)\ndinoC (Dinoflagellates Carbon Biomass, MMol' 'M-3)\ndinoChla (Dinoflagellates Chlorophyll concentration, mg m-3)\nnanoC (Nanophytoplankton Carbon Biomass, MMol' 'M-3)\nnanoChla (Nanophytoplankton Chlorophyll concentration, mg m-3)\nphyc (Phytoplankton Carbon Biomass, MMol' 'M-3)\npicoC (Picophytoplankton Carbon Biomass, MMol' 'M-3)\npicoChla (Picophytoplankton Chlorophyll concentration, mg m-3)\nzooc (Zooplankton Carbon Biomass, MMol' 'M-3)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cmems_mod_med_bgc-pft_anfc_4_2km_P1D_m_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cmems_mod_med_bgc-pft_anfc_4_2km_P1D_m_iso19115.xml | https://erddap.s4raise.it/erddap/info/cmems_mod_med_bgc-pft_anfc_4_2km_P1D_m/index.htmlTable | ??? | https://erddap.s4raise.it/erddap/rss/cmems_mod_med_bgc-pft_anfc_4_2km_P1D_m.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cmems_mod_med_bgc-pft_anfc_4_2km_P1D_m&showErrors=false&email= | OGS, Trieste - Italy | cmems_mod_med_bgc-pft_anfc_4_2km_P1D_m | ||
| 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.\n\ncdm_data_type = Grid\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nsrs_id\nsrs_sat_id\nrain_level\n | https://erddap.s4raise.it/erddap/info/ingv-lasomma_srs_rainfall_bonassola/index.htmlTable | 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.\n\ncdm_data_type = Grid\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nsrs_id\nsrs_sat_id\nrain_level\n | https://erddap.s4raise.it/erddap/info/ingv-lasomma_srs_rainfall_genova/index.htmlTable | 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.\n\ncdm_data_type = Grid\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nsrs_id\nsrs_sat_id\nrain_level\n | https://erddap.s4raise.it/erddap/info/ingv-lasomma_srs_rainfall_laspezia/index.htmlTable | 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.\n\ncdm_data_type = Grid\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nsrs_id\nsrs_sat_id\nrain_level\n | https://erddap.s4raise.it/erddap/info/ingv-lasomma_srs_rainfall_livorno/index.htmlTable | 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/griddap/cmems_mod_med_phy-sal_anfc_4_2km_2D_PT1H_m | https://erddap.s4raise.it/erddap/griddap/cmems_mod_med_phy-sal_anfc_4_2km_2D_PT1H_m.graph | https://erddap.s4raise.it/erddap/wms/cmems_mod_med_phy-sal_anfc_4_2km_2D_PT1H_m/request | https://erddap.s4raise.it/erddap/files/cmems_mod_med_phy-sal_anfc_4_2km_2D_PT1H_m/ | Sea Surface Salinity (2D), Hourly Mean | Sea Surface Salinity (2D) - Hourly Mean. Please check in CMEMS catalogue the INFO section for product MEDSEA_ANALYSISFORECAST_PHY_006_013 - http://marine.copernicus.eu\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nso (salinity, PSU)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cmems_mod_med_phy-sal_anfc_4_2km_2D_PT1H_m_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cmems_mod_med_phy-sal_anfc_4_2km_2D_PT1H_m_iso19115.xml | https://erddap.s4raise.it/erddap/info/cmems_mod_med_phy-sal_anfc_4_2km_2D_PT1H_m/index.htmlTable | https://www.ec.gc.ca/scitech/default.asp?lang=En&n=61B33C26-1#cmc
| https://erddap.s4raise.it/erddap/rss/cmems_mod_med_phy-sal_anfc_4_2km_2D_PT1H_m.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cmems_mod_med_phy-sal_anfc_4_2km_2D_PT1H_m&showErrors=false&email= | Centro Euro-Mediterraneo sui Cambiamenti Climatici - CMCC, Italy | cmems_mod_med_phy-sal_anfc_4_2km_2D_PT1H_m | ||
| 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.\n\ncdm_data_type = Point\nVARIABLES:\nplatformcode\nmission\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntemperature\ntimestamp (seconds since 1970-01-01T00:00:00Z)\nauthor\ncommand\n | 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.htmlTable | 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/griddap/cmems_mod_med_phy-tem_anfc_4_2km_3D_PT1H_m | https://erddap.s4raise.it/erddap/griddap/cmems_mod_med_phy-tem_anfc_4_2km_3D_PT1H_m.graph | https://erddap.s4raise.it/erddap/wms/cmems_mod_med_phy-tem_anfc_4_2km_3D_PT1H_m/request | https://erddap.s4raise.it/erddap/files/cmems_mod_med_phy-tem_anfc_4_2km_3D_PT1H_m/ | Sea Temperature (3D), Hourly Mean | Sea Temperature (3D) - Hourly Mean. Please check in CMEMS catalogue the INFO section for product MEDSEA_ANALYSISFORECAST_PHY_006_013 - http://marine.copernicus.eu\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nthetao (sea temperature, degree_C)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cmems_mod_med_phy-tem_anfc_4_2km_3D_PT1H_m_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cmems_mod_med_phy-tem_anfc_4_2km_3D_PT1H_m_iso19115.xml | https://erddap.s4raise.it/erddap/info/cmems_mod_med_phy-tem_anfc_4_2km_3D_PT1H_m/index.htmlTable | https://www.ec.gc.ca/scitech/default.asp?lang=En&n=61B33C26-1#cmc
| https://erddap.s4raise.it/erddap/rss/cmems_mod_med_phy-tem_anfc_4_2km_3D_PT1H_m.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cmems_mod_med_phy-tem_anfc_4_2km_3D_PT1H_m&showErrors=false&email= | Centro Euro-Mediterraneo sui Cambiamenti Climatici - CMCC, Italy | cmems_mod_med_phy-tem_anfc_4_2km_3D_PT1H_m | ||
| 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\n\ncdm_data_type = Other\nVARIABLES:\next_id\ntime (seconds since 1970-01-01T00:00:00Z)\nhs\ntm\ntp\nvalid\n | https://erddap.s4raise.it/erddap/info/ingv-lasomma_sensors_wave_meter_andora/index.htmlTable | 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\n\ncdm_data_type = Other\nVARIABLES:\next_id\ntime (seconds since 1970-01-01T00:00:00Z)\nhs\ntm\ntp\nvalid\n | https://erddap.s4raise.it/erddap/info/ingv-lasomma_sensors_wave_meter_bonassola/index.htmlTable | 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\n\ncdm_data_type = Other\nVARIABLES:\next_id\ntime (seconds since 1970-01-01T00:00:00Z)\nhs\ntm\ntp\nvalid\n | https://erddap.s4raise.it/erddap/info/ingv-lasomma_sensors_wave_meter_genovacnr/index.htmlTable | 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\n\ncdm_data_type = Other\nVARIABLES:\next_id\ntime (seconds since 1970-01-01T00:00:00Z)\nhs\ntm\ntp\nvalid\n | https://erddap.s4raise.it/erddap/info/ingv-lasomma_sensors_wave_meter_livornocnr/index.htmlTable | 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/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.\n\ncdm_data_type = Point\nVARIABLES:\nADATAA01 (seconds since 1970-01-01T00:00:00Z)\nHour\ntime (seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nTEMP (Temperature)\nPSLTZZ01\nPRESPR01\nTEMPPR01\nTEMPPR02\nTEMPPR03\nCNDCZZ01\nTEMPPR01_QC\nTEMPPR02_QC\nTEMPPR03_QC\nCNDCZZ01_QC\nlatitude (degrees_north)\nlongitude (degrees_east)\nnotes\n | 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.htmlTable | 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\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\ntemp (Temperature, degree_Celsius)\nserial_number\nsensor_id\nlatitude (degrees_north)\nlongitude (degrees_east)\naccuracy (GPS Position Accuracy, meter)\ndepth (Sensor depth, m)\nsampling_resolution\n | 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.htmlTable | 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\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\ntemp (Temperature, degree_Celsius)\nserial_number\nsensor_id\nlatitude (degrees_north)\nlongitude (degrees_east)\naccuracy (GPS Position Accuracy, meter)\ndepth (Sensor depth, m)\nsampling_resolution\n | 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.htmlTable | 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\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\ntemp (Temperature, degree_Celsius)\nserial_number\nsensor_id\nlatitude (degrees_north)\nlongitude (degrees_east)\naccuracy (GPS Position Accuracy, meter)\ndepth (Sensor depth, m)\nsampling_resolution\n | 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.htmlTable | 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\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\ntemp (Temperature, degree_Celsius)\nserial_number\nsensor_id\nlatitude (degrees_north)\nlongitude (degrees_east)\naccuracy (GPS Position Accuracy, meter)\ndepth (Sensor depth, m)\nsampling_resolution\n | 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.htmlTable | 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\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\ntemp (Temperature, degree_Celsius)\nserial_number\nsensor_id\nlatitude (degrees_north)\nlongitude (degrees_east)\naccuracy (GPS Position Accuracy, meter)\ndepth (Sensor depth, m)\nsampling_resolution\n | 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.htmlTable | 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/griddap/unige-distav_voltri_water_level_scirocco | https://erddap.s4raise.it/erddap/griddap/unige-distav_voltri_water_level_scirocco.graph | https://erddap.s4raise.it/erddap/wms/unige-distav_voltri_water_level_scirocco/request | https://erddap.s4raise.it/erddap/files/unige-distav_voltri_water_level_scirocco/ | Water level considering SE storms | The dataset was generated using the XBeach model, a numerical tool developed to simulate the impacts of extreme events on coastal areas and their associated dynamics. In this case, the model was applied to 20 historical SE storm scenarios to estimate water level under extreme conditions. The wave conditions were derived from the hindcast dataset produced by the MeteOcean research group at the University of Genoa (https://meteocean.science/#research), while the digital elevation model was constructed using a combination of field survey data and elevation data provided by Regione Liguria (https://geoportal.regione.liguria.it/). This approach makes it possible to define offshore wave conditions that may pose potential hazards to coastal infrastructure and human safety.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nzs (water level, m)\nzb (bed level, m)\nue (Eulerian velocity in cell centre, x-component, m/s)\nve (Eulerian velocity in cell centre, y-component, m/s)\nH (Hrms wave height based on instantaneous wave energy, m)\nE (wave energy, Nm/m2)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-distav_voltri_water_level_scirocco_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-distav_voltri_water_level_scirocco_iso19115.xml | https://erddap.s4raise.it/erddap/info/unige-distav_voltri_water_level_scirocco/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-distav_voltri_water_level_scirocco.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-distav_voltri_water_level_scirocco&showErrors=false&email= | UNIGE-DISTAV | unige-distav_voltri_water_level_scirocco | ||
| https://erddap.s4raise.it/erddap/griddap/unige-distav_voltri_water_level_scirocco_setup | https://erddap.s4raise.it/erddap/griddap/unige-distav_voltri_water_level_scirocco_setup.graph | https://erddap.s4raise.it/erddap/wms/unige-distav_voltri_water_level_scirocco_setup/request | https://erddap.s4raise.it/erddap/files/unige-distav_voltri_water_level_scirocco_setup/ | Water level considering SE storms and storm surge | The dataset was generated using the XBeach model, a numerical tool developed to simulate the impacts of extreme events on coastal areas and their associated dynamics. In this case, the model was applied to 20 historical SE storm scenarios, also considering the storm surge (wave set-up) to estimate water level under extreme conditions. The wave conditions were derived from the hindcast dataset produced by the MeteOcean research group at the University of Genoa (https://meteocean.science/#research), while the digital elevation model was constructed using a combination of field survey data and elevation data provided by Regione Liguria (https://geoportal.regione.liguria.it/). This approach makes it possible to define offshore wave conditions that may pose potential hazards to coastal infrastructure and human safety.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nzs (water level, m)\nzb (bed level, m)\nue (Eulerian velocity in cell centre, x-component, m/s)\nve (Eulerian velocity in cell centre, y-component, m/s)\nH (Hrms wave height based on instantaneous wave energy, m)\nE (wave energy, Nm/m2)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-distav_voltri_water_level_scirocco_setup_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-distav_voltri_water_level_scirocco_setup_iso19115.xml | https://erddap.s4raise.it/erddap/info/unige-distav_voltri_water_level_scirocco_setup/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-distav_voltri_water_level_scirocco_setup.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-distav_voltri_water_level_scirocco_setup&showErrors=false&email= | UNIGE-DISTAV | unige-distav_voltri_water_level_scirocco_setup | ||
| https://erddap.s4raise.it/erddap/griddap/unige-distav_voltri_water_level_libeccio | https://erddap.s4raise.it/erddap/griddap/unige-distav_voltri_water_level_libeccio.graph | https://erddap.s4raise.it/erddap/wms/unige-distav_voltri_water_level_libeccio/request | https://erddap.s4raise.it/erddap/files/unige-distav_voltri_water_level_libeccio/ | Water level considering SW storms | The dataset was generated using the XBeach model, a numerical tool developed to simulate the impacts of extreme events on coastal areas and their associated dynamics. In this case, the model was applied to 20 historical SW storm scenarios to estimate water level under extreme conditions. The wave conditions were derived from the hindcast dataset produced by the MeteOcean research group at the University of Genoa (https://meteocean.science/#research), while the digital elevation model was constructed using a combination of field survey data and elevation data provided by Regione Liguria (https://geoportal.regione.liguria.it/). This approach makes it possible to define offshore wave conditions that may pose potential hazards to coastal infrastructure and human safety.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nzs (water level, m)\nzb (bed level, m)\nue (Eulerian velocity in cell centre, x-component, m/s)\nve (Eulerian velocity in cell centre, y-component, m/s)\nH (Hrms wave height based on instantaneous wave energy, m)\nE (wave energy, Nm/m2)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-distav_voltri_water_level_libeccio_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-distav_voltri_water_level_libeccio_iso19115.xml | https://erddap.s4raise.it/erddap/info/unige-distav_voltri_water_level_libeccio/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-distav_voltri_water_level_libeccio.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-distav_voltri_water_level_libeccio&showErrors=false&email= | UNIGE-DISTAV | unige-distav_voltri_water_level_libeccio | ||
| https://erddap.s4raise.it/erddap/griddap/unige-distav_voltri_water_level_libeccio_setup | https://erddap.s4raise.it/erddap/griddap/unige-distav_voltri_water_level_libeccio_setup.graph | https://erddap.s4raise.it/erddap/wms/unige-distav_voltri_water_level_libeccio_setup/request | https://erddap.s4raise.it/erddap/files/unige-distav_voltri_water_level_libeccio_setup/ | Water level considering SW storms and storm surge | The dataset was generated using the XBeach model, a numerical tool developed to simulate the impacts of extreme events on coastal areas and their associated dynamics. In this case, the model was applied to 20 historical SW storm scenarios, also considering the storm surge (wave set-up) to estimate water level under extreme conditions. The wave conditions were derived from the hindcast dataset produced by the MeteOcean research group at the University of Genoa (https://meteocean.science/#research), while the digital elevation model was constructed using a combination of field survey data and elevation data provided by Regione Liguria (https://geoportal.regione.liguria.it/). This approach makes it possible to define offshore wave conditions that may pose potential hazards to coastal infrastructure and human safety.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nzs (water level, m)\nzb (bed level, m)\nue (Eulerian velocity in cell centre, x-component, m/s)\nve (Eulerian velocity in cell centre, y-component, m/s)\nH (Hrms wave height based on instantaneous wave energy, m)\nE (wave energy, Nm/m2)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-distav_voltri_water_level_libeccio_setup_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-distav_voltri_water_level_libeccio_setup_iso19115.xml | https://erddap.s4raise.it/erddap/info/unige-distav_voltri_water_level_libeccio_setup/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-distav_voltri_water_level_libeccio_setup.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-distav_voltri_water_level_libeccio_setup&showErrors=false&email= | UNIGE-DISTAV | unige-distav_voltri_water_level_libeccio_setup | ||
| https://erddap.s4raise.it/erddap/griddap/cmems_mod_med_wav_anfc_4_2km_PT1H_i | https://erddap.s4raise.it/erddap/griddap/cmems_mod_med_wav_anfc_4_2km_PT1H_i.graph | https://erddap.s4raise.it/erddap/wms/cmems_mod_med_wav_anfc_4_2km_PT1H_i/request | https://erddap.s4raise.it/erddap/files/cmems_mod_med_wav_anfc_4_2km_PT1H_i/ | Wave fields (2D), Hourly Instantaneous | Wave fields (2D) - Hourly Instantaneous. Please check in CMEMS catalogue the INFO section for product MEDSEA_ANALYSISFORECAST_WAV_006_017 - http://marine.copernicus.eu\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nVCMX (Maximum crest trough wave height (Hc,max), m)\nVHM0 (Spectral significant wave height (Hm0), m)\nVHM0_SW1 (Spectral significant primary swell wave height, m)\nVHM0_SW2 (Spectral significant secondary swell wave height, m)\nVHM0_WW (Spectral significant wind wave height, m)\nVMDR (Mean wave direction from (Mdir), degree)\nVMDR_SW1 (Mean primary swell wave direction from, degree)\nVMDR_SW2 (Mean secondary swell wave direction from, degree)\nVMDR_WW (Mean wind wave direction from, degree)\nVMXL (Height of the highest crest, m)\nVPED (Wave principal direction at spectral peak, degree)\nVSDX (Stokes drift U, m/s)\nVSDY (Stokes drift V, m/s)\nVTM01_SW1 (Spectral moments (0,1) primary swell wave period, s)\nVTM01_SW2 (Spectral moments (0,1) secondary swell wave period, s)\nVTM01_WW (Spectral moments (0,1) wind wave period, s)\nVTM02 (Spectral moments (0,2) wave period (Tm02), s)\nVTM10 (Spectral moments (-1,0) wave period (Tm-10), s)\nVTPK (Wave period at spectral peak / peak period (Tp), s)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cmems_mod_med_wav_anfc_4_2km_PT1H_i_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cmems_mod_med_wav_anfc_4_2km_PT1H_i_iso19115.xml | https://erddap.s4raise.it/erddap/info/cmems_mod_med_wav_anfc_4_2km_PT1H_i/index.htmlTable | ??? | https://erddap.s4raise.it/erddap/rss/cmems_mod_med_wav_anfc_4_2km_PT1H_i.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cmems_mod_med_wav_anfc_4_2km_PT1H_i&showErrors=false&email= | HCMR -Athens,Greece | cmems_mod_med_wav_anfc_4_2km_PT1H_i | ||
| 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\n\ncdm_data_type = Grid\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndir (Wave mean direction, degree)\ndp (Peak direction, degree)\nfp (Wave peak frequency, s-1)\nhs (Significant height of wind and swell waves, m)\ntm (Mean period, s)\nforecast_date\n | 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.htmlTable | 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\n\ncdm_data_type = Grid\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndir (Wave mean direction, degree)\ndp (Peak direction, degree)\nfp (Wave peak frequency, s-1)\nhs (Significant height of wind and swell waves, m)\ntm (Mean period, s)\nforecast_date\n | 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.htmlTable | 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 | ||
| https://erddap.s4raise.it/erddap/griddap/cima_forecast_1_5km_01 | https://erddap.s4raise.it/erddap/griddap/cima_forecast_1_5km_01.graph | https://erddap.s4raise.it/erddap/wms/cima_forecast_1_5km_01/request | WRF (Weather Research and Forecasting Model) 1.5 km (01) | WRF-1.5km OL: Open loop configuration (without data assimilation) with 3 two-way nested domains respectively having spatial resolution 13.5, 4.5 and 1.5 km with 50 vertical levels. The analysis and boundary data (hourly frequency) data are obtained from the Global Forecasting System (GFS) model at 0.25 degrees of resolution. One run per day (00 UTC) is made with the GFS data with a forecast time horizon of 48 hours to have 2 full days of forecasting (hourly time resolution). This forecast is performed on computing resources at CINECA (about 1600 cores) and is delivered to within 7:00 UTC.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nQ2 (kg kg-1)\nT2 (K)\nTH2 (K)\nPSFC (Pa)\nU10 (Eastward Wind Component, m s-1)\nV10 (Northward Wind Component, m s-1)\nLPI (m^2 s-2)\nACSNOW (kg m-2)\nRAINC (mm)\nRAINNC (mm)\nSNOWNC (mm)\nGRAUPELNC (mm)\nHAILNC (mm)\nSWDOWN (W m-2)\nSWDOWNC (W m-2)\nPBLH (m)\nHFX (W m-2)\nQFX (kg m-2 s-1)\nLH (W m-2)\nWSPD10MAX (WSPD10 MAX, m s-1)\nW_UP_MAX (m s-1)\n... (10 more variables)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cima_forecast_1_5km_01_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cima_forecast_1_5km_01_iso19115.xml | https://erddap.s4raise.it/erddap/info/cima_forecast_1_5km_01/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/cima_forecast_1_5km_01.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cima_forecast_1_5km_01&showErrors=false&email= | CIMA | cima_forecast_1_5km_01 | |||
| https://erddap.s4raise.it/erddap/griddap/cima_forecast_1_5km_02 | https://erddap.s4raise.it/erddap/griddap/cima_forecast_1_5km_02.graph | https://erddap.s4raise.it/erddap/wms/cima_forecast_1_5km_02/request | WRF (Weather Research and Forecasting Model) 1.5 km (02) | WRF-1.5km OL: Open loop configuration (without data assimilation) with 3 two-way nested domains respectively having spatial resolution 13.5, 4.5 and 1.5 km with 50 vertical levels. The analysis and boundary data (hourly frequency) data are obtained from the Global Forecasting System (GFS) model at 0.25 degrees of resolution. One run per day (00 UTC) is made with the GFS data with a forecast time horizon of 48 hours to have 2 full days of forecasting (hourly time resolution). This forecast is performed on computing resources at CINECA (about 1600 cores) and is delivered to within 7:00 UTC.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][lev][latitude][longitude]):\nU_PL (m s-1)\nV_PL (m s-1)\nT_PL (K)\nRH_PL (Relative Humidity, percent)\nGHT_PL (m)\nS_PL (m s-1)\nTD_PL (K)\nQ_PL (kg/kg)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cima_forecast_1_5km_02_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cima_forecast_1_5km_02_iso19115.xml | https://erddap.s4raise.it/erddap/info/cima_forecast_1_5km_02/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/cima_forecast_1_5km_02.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cima_forecast_1_5km_02&showErrors=false&email= | CIMA | cima_forecast_1_5km_02 | |||
| https://erddap.s4raise.it/erddap/griddap/cima_forecast_2_5km_01 | https://erddap.s4raise.it/erddap/griddap/cima_forecast_2_5km_01.graph | https://erddap.s4raise.it/erddap/wms/cima_forecast_2_5km_01/request | WRF (Weather Research and Forecasting Model) 2.5 km including 3DVAR assimilation (radar data) (01) | Configuration with 3DVAR variational assimilation with 3 two-way nested domains respectively with spatial resolution 22.5, 7.5 and 2.5 km with 50 vertical levels. The analysis data and boundary conditions (with tri-hourly frequency) are obtained from the GFS model at 0.25 degrees of resolution. This forecast is performed on computing resources at CIMA and is delivered within 3:30 UTC. The assimilation scheme is performed as it follows: WRF-2.5 km is initialized with the GFS model of the 18UTC, whose analysis is integrated, by means of 3DVAR, by CAPPI radar remote sensing data of the Italian Civil Protection Department (ICPD). The WRF model is thus executed for 3 hours until 21UTC, when a second 3DVAR assimilation cycle is applied. Finally, the WRF model is executed until 00UTC when the final assimilation cycle is performed. The simulation is then carried out for a further 48 hours starting from 00UTC in order to have 2 complete days of forecasting.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nQ2 (kg kg-1)\nT2 (K)\nTH2 (K)\nPSFC (Pa)\nU10 (Eastward Wind Component, m s-1)\nV10 (Northward Wind Component, m s-1)\nLPI (m^2 s-2)\nACSNOW (kg m-2)\nRAINC (mm)\nRAINNC (mm)\nSNOWNC (mm)\nGRAUPELNC (mm)\nHAILNC (mm)\nSWDOWN (W m-2)\nSWDOWNC (W m-2)\nPBLH (m)\nHFX (W m-2)\nQFX (kg m-2 s-1)\n... (11 more variables)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cima_forecast_2_5km_01_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cima_forecast_2_5km_01_iso19115.xml | https://erddap.s4raise.it/erddap/info/cima_forecast_2_5km_01/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/cima_forecast_2_5km_01.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cima_forecast_2_5km_01&showErrors=false&email= | CIMA | cima_forecast_2_5km_01 | |||
| https://erddap.s4raise.it/erddap/griddap/cima_forecast_2_5km_02 | https://erddap.s4raise.it/erddap/griddap/cima_forecast_2_5km_02.graph | https://erddap.s4raise.it/erddap/wms/cima_forecast_2_5km_02/request | WRF (Weather Research and Forecasting Model) 2.5 km including 3DVAR assimilation (radar data) (02) | Configuration with 3DVAR variational assimilation with 3 two-way nested domains respectively with spatial resolution 22.5, 7.5 and 2.5 km with 50 vertical levels. The analysis data and boundary conditions (with tri-hourly frequency) are obtained from the GFS model at 0.25 degrees of resolution. This forecast is performed on computing resources at CIMA and is delivered within 3:30 UTC. The assimilation scheme is performed as it follows: WRF-2.5 km is initialized with the GFS model of the 18UTC, whose analysis is integrated, by means of 3DVAR, by CAPPI radar remote sensing data of the Italian Civil Protection Department (ICPD). The WRF model is thus executed for 3 hours until 21UTC, when a second 3DVAR assimilation cycle is applied. Finally, the WRF model is executed until 00UTC when the final assimilation cycle is performed. The simulation is then carried out for a further 48 hours starting from 00UTC in order to have 2 complete days of forecasting.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][lev][latitude][longitude]):\nU_PL (m s-1)\nV_PL (m s-1)\nT_PL (K)\nRH_PL (Relative Humidity, percent)\nGHT_PL (m)\nS_PL (m s-1)\nTD_PL (K)\nQ_PL (kg/kg)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cima_forecast_2_5km_02_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cima_forecast_2_5km_02_iso19115.xml | https://erddap.s4raise.it/erddap/info/cima_forecast_2_5km_02/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/cima_forecast_2_5km_02.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cima_forecast_2_5km_02&showErrors=false&email= | CIMA | cima_forecast_2_5km_02 |