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griddap Subset tabledap Make A Graph wms files Accessible Title Summary FGDC ISO 19115 Info Background Info RSS Email Institution Dataset ID
https://erddap.osupytheas.fr/erddap/tabledap/CLAPP_CTD_OutCSV_a803.subset https://erddap.osupytheas.fr/erddap/tabledap/CLAPP_CTD_OutCSV_a803 https://erddap.osupytheas.fr/erddap/tabledap/CLAPP_CTD_OutCSV_a803.graph https://erddap.osupytheas.fr/erddap/files/CLAPP_CTD_OutCSV_a803/ public CLAPPP : New Caledonian lagoons: CTD Profiles (CSV files) CLAPPP Project : Conductivity, Temperature, Depth (CTD) profile (Network Common Data Format (NetCDF) files) station voh1-6. The New Caledonia lagoons show high seasonal and interannual variability (related to El Nino - Southern Oscillation (ENSO) - variability). They present a great diversity of local situations linked to differences in their geomorphology, to the nature of terrigenous inputs and to varied anthropogenic pressure\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nstation\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nTemperature\nConductivity (Sea Water Electrical Conductivity)\nSalinity (Sea Water Practical Salinity, PSU)\nFluorescence\nIrradiance\nDensity\nTurbidity\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/CLAPP_CTD_OutCSV_a803_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/CLAPP_CTD_OutCSV_a803_iso19115.xml https://erddap.osupytheas.fr/erddap/info/CLAPP_CTD_OutCSV_a803/index.htmlTable https://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/2b52defe-e5f3-4fe2-9f2f-741d90e624ea (external link) http://erddap.osupytheas.fr/erddap/rss/CLAPP_CTD_OutCSV_a803.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=CLAPP_CTD_OutCSV_a803&showErrors=false&email= MIO UMR7294 CNRS - OSU Pytheas CLAPP_CTD_OutCSV_a803
https://erddap.osupytheas.fr/erddap/tabledap/CTD_Antares_CSV_2286_9e49_8e66.subset https://erddap.osupytheas.fr/erddap/tabledap/CTD_Antares_CSV_2286_9e49_8e66 https://erddap.osupytheas.fr/erddap/tabledap/CTD_Antares_CSV_2286_9e49_8e66.graph https://erddap.osupytheas.fr/erddap/files/CTD_Antares_CSV_2286_9e49_8e66/ public CTD Profiles ANTARES station (CSV files) (lat/long : 42.485/6.06) Conductivity, Temperature, Depth (CTD) profile data from ANTARES station (lat/long : 42.485/6.06)\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nPressure\ndepth (m)\nTemperature\nConductivity (Sea Water Electrical Conductivity)\nSalinity (Sea Water Practical Salinity, PSU)\nFluorescence\ntimeJ (Time J)\nlatitude (degrees_north)\nlongitude (degrees_east)\nIrradiance\nTransmission\nDensity\nOxygen_ml_l\nOxygen\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/CTD_Antares_CSV_2286_9e49_8e66_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/CTD_Antares_CSV_2286_9e49_8e66_iso19115.xml https://erddap.osupytheas.fr/erddap/info/CTD_Antares_CSV_2286_9e49_8e66/index.htmlTable http://www.mio.osupytheas.fr (external link) http://erddap.osupytheas.fr/erddap/rss/CTD_Antares_CSV_2286_9e49_8e66.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=CTD_Antares_CSV_2286_9e49_8e66&showErrors=false&email= MIO UMR 7294 CNRS / OSU Pytheas UMS 3470 CNRS CTD_Antares_CSV_2286_9e49_8e66
https://erddap.osupytheas.fr/erddap/tabledap/JULIO_a3cf_97b7_7d21.subset https://erddap.osupytheas.fr/erddap/tabledap/JULIO_a3cf_97b7_7d21 https://erddap.osupytheas.fr/erddap/tabledap/JULIO_a3cf_97b7_7d21.graph https://erddap.osupytheas.fr/erddap/files/JULIO_a3cf_97b7_7d21/ public CTD Profiles station JULIO (CSV files) lat 43.13 Lon 5.25 - programme Romarin Conductivity, Temperature, Depth (CTD) Profiles station JULIO lat 43.13 Lon 5.25\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nPressure (bar)\ndepth (m)\nTemperature (degree Celsius)\nConductivity (Sea Water Electrical Conductivity, S/m)\nSalinity (Sea Water Practical Salinity, PSU)\nFluorescence (ug/l)\ntimeJ (Time J, Julian day)\nlatitude (degrees_north)\nlongitude (degrees_east)\nIrradiance (uE/cm2)\nTransmission (%)\nDensity (Kg/m^3)\nOxygen_ml_l (ml/l)\nOxygen_umol_kg (umol/Kg)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/JULIO_a3cf_97b7_7d21_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/JULIO_a3cf_97b7_7d21_iso19115.xml https://erddap.osupytheas.fr/erddap/info/JULIO_a3cf_97b7_7d21/index.htmlTable http://www.mio.osupytheas.fr (external link) http://erddap.osupytheas.fr/erddap/rss/JULIO_a3cf_97b7_7d21.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=JULIO_a3cf_97b7_7d21&showErrors=false&email= MIO UMR7294 CNRS / OSU Pytheas JULIO_a3cf_97b7_7d21
https://erddap.osupytheas.fr/erddap/tabledap/SOLEMIO_55ba_fe63_7e4a.subset https://erddap.osupytheas.fr/erddap/tabledap/SOLEMIO_55ba_fe63_7e4a https://erddap.osupytheas.fr/erddap/tabledap/SOLEMIO_55ba_fe63_7e4a.graph https://erddap.osupytheas.fr/erddap/files/SOLEMIO_55ba_fe63_7e4a/ public CTD Profiles station SOLEMIO (CSV files) lat 43.24 Lon 5.29 (SOMLIT) Conductivity, Temperature, Depth (CTD) Profiles station SOLEMIO Lat 43.24 Lon 5.29\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nPressure (bar)\ndepth (m)\nTemperature (degree C)\nConductivity (Sea Water Electrical Conductivity, S/m)\nSalinity (Sea Water Practical Salinity, PSU)\nFluorescence (ug/l)\ntimeJ (Time J)\nlatitude (degrees_north)\nlongitude (degrees_east)\nIrradiance (uE/cm2)\nTransmission (%)\nDensity (\"kg.m-3\")\nOxygen_ml_l (ml/l)\nOxygen_umol_kg (umol/kg)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/SOLEMIO_55ba_fe63_7e4a_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/SOLEMIO_55ba_fe63_7e4a_iso19115.xml https://erddap.osupytheas.fr/erddap/info/SOLEMIO_55ba_fe63_7e4a/index.htmlTable http://www.mio.univ-amu.fr/ (external link) http://erddap.osupytheas.fr/erddap/rss/SOLEMIO_55ba_fe63_7e4a.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=SOLEMIO_55ba_fe63_7e4a&showErrors=false&email= MIO UMR7294 CNRS / OSU Pytheas SOLEMIO_55ba_fe63_7e4a
https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2014.subset https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2014 https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2014.graph https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2014/ public EMSO Western Ligurian : Albatross mooring, MICROCAT sensor (NetCDF 2014-2015) The European Multidisciplinary Seafloor and water column Observatory (EMSO) is a research infrastructure distributed throughout Europe for seabed and water column observatories. It aims to further explore the oceans, better understand the phenomena that occur on the seabed, and elucidate the critical role that these phenomena play in global Earth systems. This observatory is based on observation sites (or nodes) that have been deployed in strategic locations in European seas, from the Arctic to the Atlantic, from the Mediterranean to the Black Sea. There are currently eleven deep water nodes plus four shallow water test nodes. EMSO Western Ligurian is one of these permanent underwater observatories located in the Ligurian Sea and is deployed off Toulon, France. This region was chosen for its particular scientific interests such as: seismicity, topography, turbidity, biodiversity, water mass dynamics and organic matter flow. This underwater observation network is also part of KM3NeT (https://www.km3net.org/) which has a modular topology designed to connect up to 120 neutrino detection units. Earth and Sea Science (ESS) instrumentation connected to KM3NeT is based on two complementary components: an instrumented interface module (MII) and an autonomous instrumented line (ALBATROSS). The ALBATROSS line is an inductive line (2000 m) composed of an acoustic communication system, two inductive cables equipped with Conductivity, Temperature, Depth (CTD)-O2 sensors, current meters and two instrumented buoys. This line is deployed at a distance of 2-3 kilometers from the MII, and communication on land is done by an acoustic link with the MII, and electro-optical cable via the KM3NeT node.\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstationname (station name)\nlatitude (Latitude of measurements, degrees_north)\nlongitude (Longitude of measurements, degrees_east)\ntime (time of measurements, seconds since 1970-01-01T00:00:00Z)\nTIME_QC (Time quality flag)\nDEPH (depth of measurements, Metres)\nTEMP (temperature, degree_C)\nTEMP_QC (Temperature quality flag)\nDOX2 (Dissolved oxygen, Micromoles per kilogram)\nDOX_QC (Oxygen quality flag)\n... (8 more variables)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2014_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2014_iso19115.xml https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2014/index.htmlTable http://www.emso-fr.org/EMSO-France (external link) http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2014.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2014&showErrors=false&email= MIO UMR 7294 CNRS / OSU Pytheas Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2014
https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2015.subset https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2015 https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2015.graph https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2015/ public EMSO Western Ligurian : Albatross mooring, MICROCAT sensor (NetCDF 2015-2016) The European Multidisciplinary Seafloor and water column Observatory (EMSO) is a research infrastructure distributed throughout Europe for seabed and water column observatories. It aims to further explore the oceans, better understand the phenomena that occur on the seabed, and elucidate the critical role that these phenomena play in global Earth systems. This observatory is based on observation sites (or nodes) that have been deployed in strategic locations in European seas, from the Arctic to the Atlantic, from the Mediterranean to the Black Sea. There are currently eleven deep water nodes plus four shallow water test nodes. EMSO Western Ligurian is one of these permanent underwater observatories located in the Ligurian Sea and is deployed off Toulon, France. This region was chosen for its particular scientific interests such as: seismicity, topography, turbidity, biodiversity, water mass dynamics and organic matter flow. This underwater observation network is also part of KM3NeT (https://www.km3net.org/) which has a modular topology designed to connect up to 120 neutrino detection units. Earth and Sea Science (ESS) instrumentation connected to KM3NeT is based on two complementary components: an instrumented interface module (MII) and an autonomous instrumented line (ALBATROSS). The ALBATROSS line is an inductive line (2000 m) composed of an acoustic communication system, two inductive cables equipped with Conductivity, Temperature, Depth (CTD)-O2 sensors, current meters and two instrumented buoys. This line is deployed at a distance of 2-3 kilometers from the MII, and communication on land is done by an acoustic link with the MII, and electro-optical cable via the KM3NeT node.\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstationname (station name)\nlatitude (Latitude of measurements, degrees_north)\nlongitude (Longitude of measurements, degrees_east)\ntime (time of measurements, seconds since 1970-01-01T00:00:00Z)\nTIME_QC (Time quality flag)\nDEPH (depth of measurements, Metres)\nTEMP (temperature, degree_C)\nTEMP_QC (Temperature quality flag)\nDOX2 (Dissolved oxygen, Micromoles per kilogram)\nDOX_QC (Oxygen quality flag)\n... (8 more variables)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2015_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2015_iso19115.xml https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2015/index.htmlTable http://www.emso-fr.org/EMSO-France (external link) http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2015.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2015&showErrors=false&email= MIO UMR 7294 CNRS / OSU Pytheas Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2015
https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2018.subset https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2018 https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2018.graph https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2018/ public EMSO Western Ligurian : Albatross mooring, MICROCAT sensor (NetCDF 2018-2019) The European Multidisciplinary Seafloor and water column Observatory (EMSO) is a research infrastructure distributed throughout Europe for seabed and water column observatories. It aims to further explore the oceans, better understand the phenomena that occur on the seabed, and elucidate the critical role that these phenomena play in global Earth systems. This observatory is based on observation sites (or nodes) that have been deployed in strategic locations in European seas, from the Arctic to the Atlantic, from the Mediterranean to the Black Sea. There are currently eleven deep water nodes plus four shallow water test nodes. EMSO Western Ligurian is one of these permanent underwater observatories located in the Ligurian Sea and is deployed off Toulon, France. This region was chosen for its particular scientific interests such as: seismicity, topography, turbidity, biodiversity, water mass dynamics and organic matter flow. This underwater observation network is also part of KM3NeT (https://www.km3net.org/) which has a modular topology designed to connect up to 120 neutrino detection units. Earth and Sea Science (ESS) instrumentation connected to KM3NeT is based on two complementary components: an instrumented interface module (MII) and an autonomous instrumented line (ALBATROSS). The ALBATROSS line is an inductive line (2000 m) composed of an acoustic communication system, two inductive cables equipped with Conductivity, Temperature, Depth (CTD)-O2 sensors, current meters and two instrumented buoys. This line is deployed at a distance of 2-3 kilometers from the MII, and communication on land is done by an acoustic link with the MII, and electro-optical cable via the KM3NeT node\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime (time of measurements, seconds since 1970-01-01T00:00:00Z)\nPRES (pressure, Decibars)\nDEPH (depth of measurements, Metres)\nTEMP (temperature, degree_C)\nTPOT (temperature potentielle, degree_C)\nCNDC (conductivity, Siemens per metre)\nPSAL (Practical salinity)\nDOX1 (Dissolved oxygen, Micromoles per litre)\nDOX2 (Dissolved oxygen, Micromoles per kilogram)\nOSAT (Oxygen saturation, Micromoles per kilogram)\n... (12 more variables)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2018_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2018_iso19115.xml https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2018/index.htmlTable http://www.emso-fr.org/EMSO-France (external link) http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2018.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2018&showErrors=false&email= MIO UMR 7294 CNRS / OSU Pytheas Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2018
https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2019.subset https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2019 https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2019.graph https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2019/ public EMSO Western Ligurian : Albatross mooring, MICROCAT sensor (NetCDF 2019-2020) The European Multidisciplinary Seafloor and water column Observatory (EMSO) is a research infrastructure distributed throughout Europe for seabed and water column observatories. It aims to further explore the oceans, better understand the phenomena that occur on the seabed, and elucidate the critical role that these phenomena play in global Earth systems. This observatory is based on observation sites (or nodes) that have been deployed in strategic locations in European seas, from the Arctic to the Atlantic, from the Mediterranean to the Black Sea. There are currently eleven deep water nodes plus four shallow water test nodes. EMSO Western Ligurian is one of these permanent underwater observatories located in the Ligurian Sea and is deployed off Toulon, France. This region was chosen for its particular scientific interests such as: seismicity, topography, turbidity, biodiversity, water mass dynamics and organic matter flow. This underwater observation network is also part of KM3NeT (https://www.km3net.org/) which has a modular topology designed to connect up to 120 neutrino detection units. Earth and Sea Science (ESS) instrumentation connected to KM3NeT is based on two complementary components: an instrumented interface module (MII) and an autonomous instrumented line (ALBATROSS). The ALBATROSS line is an inductive line (2000 m) composed of an acoustic communication system, two inductive cables equipped with Conductivity, Temperature, Depth (CTD)-O2 sensors, current meters and two instrumented buoys. This line is deployed at a distance of 2-3 kilometers from the MII, and communication on land is done by an acoustic link with the MII, and electro-optical cable via the KM3NeT node.\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstationname (station name)\nlatitude (Latitude of measurements, degrees_north)\nlongitude (Longitude of measurements, degrees_east)\ntime (time of measurements, seconds since 1970-01-01T00:00:00Z)\nTIME_QC (Time quality flag)\nDEPH (depth of measurements, Metres)\nTEMP (temperature, degree_C)\nTEMP_QC (Temperature quality flag)\nCNDC (conductivity, Siemens per metre)\nCNDC_QC (Conductivity quality flag)\n... (10 more variables)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2019_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2019_iso19115.xml https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2019/index.htmlTable http://www.emso-fr.org/EMSO-France (external link) http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2019.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2019&showErrors=false&email= MIO UMR 7294 CNRS / OSU Pytheas Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2019
https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2021.subset https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2021 https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2021.graph https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2021/ public EMSO Western Ligurian : Albatross mooring, MICROCAT sensor (NetCDF files from 2021-07) The European Multidisciplinary Seafloor and water column Observatory (EMSO) is a research infrastructure distributed throughout Europe for seabed and water column observatories. It aims to further explore the oceans, better understand the phenomena that occur on the seabed, and elucidate the critical role that these phenomena play in global Earth systems. This observatory is based on observation sites (or nodes) that have been deployed in strategic locations in European seas, from the Arctic to the Atlantic, from the Mediterranean to the Black Sea. There are currently eleven deep water nodes plus four shallow water test nodes. EMSO Western Ligurian is one of these permanent underwater observatories located in the Ligurian Sea and is deployed off Toulon, France. This region was chosen for its particular scientific interests such as: seismicity, topography, turbidity, biodiversity, water mass dynamics and organic matter flow. This underwater observation network is also part of KM3NeT (https://www.km3net.org/) which has a modular topology designed to connect up to 120 neutrino detection units. Earth and Sea Science (ESS) instrumentation connected to KM3NeT is based on two complementary components: an instrumented interface module (MII) and an autonomous instrumented line (ALBATROSS). The ALBATROSS line is an inductive line (2000 m) composed of an acoustic communication system, two inductive cables equipped with Conductivity, Temperature, Depth (CTD)-O2 sensors, current meters and two instrumented buoys. This line is deployed at a distance of 2-3 kilometers from the MII, and communication on land is done by an acoustic link with the MII, and electro-optical cable via the KM3NeT node\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstationname (station name)\nlatitude (Latitude of measurements, degrees_north)\nlongitude (Longitude of measurements, degrees_east)\ntime (time of measurements, seconds since 1970-01-01T00:00:00Z)\nTIME_QC (Time quality flag)\nTPOT (temperature potentielle, degree_C)\nTEMP (temperature, degree_C)\nTEMP_QC (Temperature quality flag)\nCNDC (conductivity, Siemens per metre)\nCNDC_QC (Conductivity quality flag)\n... (12 more variables)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2021_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2021_iso19115.xml https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2021/index.htmlTable http://www.emso-fr.org/EMSO-France (external link) http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2021.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2021&showErrors=false&email= MIO UMR 7294 CNRS / OSU Pytheas Emso_Western_Ligurian_Albatross_Microcat_NetCDF_2021
https://erddap.osupytheas.fr/erddap/tabledap/EUREC4A_fc8e_b4d5_9836.subset https://erddap.osupytheas.fr/erddap/tabledap/EUREC4A_fc8e_b4d5_9836 https://erddap.osupytheas.fr/erddap/tabledap/EUREC4A_fc8e_b4d5_9836.graph https://erddap.osupytheas.fr/erddap/files/EUREC4A_fc8e_b4d5_9836/ public EUREC4A-OA 2020 experiment, level 2 surface and air-sea turbulent fluxes FLUX MAST EUREC4A-OA 2020 experiment, level 2 surface and air-sea turbulent fluxes\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\npair (Air pressure, hPa)\ntair (Air Temperature, degree_C)\nhur (Relative air humidity, 1)\nsst (degree_C)\nrho (Density of air, kg m-3)\nrlds (downwelling longwave radiation flux, positive downward, W m-2)\nrlus (upwelling longwave radiation flux, positive upward, W m-2)\nrsds (downwelling shortwave radiation flux, positive downward, W m-2)\nrsus (upwelling shortwave radiation flux, positive upward, W m-2)\nwspd (Magnitude of wind velocity with respect to ground, m s-1)\nu10n (Equivalent neutral wind extrapolated at a 10-m height, from bulk calculation, m s-1)\nt10n (Equivalent neutral air temperature extrapolated at a 10-m height, from bulk calculation, degree_C)\nq10n (Equivalent neutral specific humidity extrapolated at a 10-m height, from bulk calculation, g kg-1)\nustar_bulk (Turbulent surface friction velocity, COARE 3.0 (please see header) zo parameterization from Smith (1988), m s-1)\nhsv_bulk (Turbulent surface buoyancy flux, positive upward, from bulk calculation, W m-2)\nhfss_bulk (Turbulent surface sensible heat flux, positive upward, from bulk calculation, W m-2)\nhfls_bulk (Turbulent surface latent heat flux, positive upward, from bulk calculation, W m-2)\nzL_bulk (Monin-Obukhov ratio, which quantifies surface boundary layer stability, from bulk calculation, 1)\ndepth (Height above sea level for wind data (sonic anemometer), m)\nzt (Height above sea level for weather station data (temperature, pressure, and humidity), m)\nzd (Depth of SST data, m)\nstation_name\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/EUREC4A_fc8e_b4d5_9836_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/EUREC4A_fc8e_b4d5_9836_iso19115.xml https://erddap.osupytheas.fr/erddap/info/EUREC4A_fc8e_b4d5_9836/index.htmlTable https://doi.org/10.17882/77341 (external link) http://erddap.osupytheas.fr/erddap/rss/EUREC4A_fc8e_b4d5_9836.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=EUREC4A_fc8e_b4d5_9836&showErrors=false&email= MIO UMR7294 CNRS EUREC4A_fc8e_b4d5_9836
https://erddap.osupytheas.fr/erddap/tabledap/AMOP_3b75_05e1_8951.subset https://erddap.osupytheas.fr/erddap/tabledap/AMOP_3b75_05e1_8951 https://erddap.osupytheas.fr/erddap/tabledap/AMOP_3b75_05e1_8951.graph https://erddap.osupytheas.fr/erddap/files/AMOP_3b75_05e1_8951/ public OCARINA AMOP 2014 experiment, prototype 1, level 2 surface and air-sea turbulent fluxes OCARINA level 2 data, calibrated. Turbulent air-sea fluxes and associated variables from the OCARINA wave-following and drifting platform (Bourras et al. 2014, DOI: 10.1175/JTECH-D-13-00055.)\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime2 (Time)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\npair (Air pressure, hPa)\ntair (Air Temperature, degree_C)\nhur (Relative air humidity, 1)\nsst (degree_C)\nrho (Density of air, kg m-3)\nrlds (downwelling longwave radiation flux, positive downward, W m-2)\nrlus (upwelling longwave radiation flux, positive upward, W m-2)\nrsds (downwelling shortwave radiation flux, positive downward, W m-2)\nrsus (upwelling shortwave radiation flux, positive upward, W m-2)\nwdir (Direction of the wind vector with respect to ground, measured positive clockwise from due north, degrees)\nwspd (Magnitude of wind velocity with respect to ground, m s-1)\nu10n (Equivalent neutral wind extrapolated at a 10-m height, from eddy-covariance calculation, m s-1)\nhsw (Significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)\nhsw_day (daily estimate of the significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)\nTsw (Inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)\nTsw_day (Daily estimate of the inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)\ntauu (Eastward component of the surface wind stress vector, from eddy-covariance calculation, Pa)\ntauv (Northward component of the surface wind stress vector, from eddy-covariance calculation, Pa)\nustar (Turbulent surface friction velocity, from eddy-covariance calculation, m s-1)\nhsv (Turbulent surface buoyancy flux, from eddy-covariance calculation, W m-2)\nzL (Monin-Obukhov ratio, which quantifies surface boundary layer stability, from eddy-covariance calculation, 1)\nustar_bulk (Turbulent surface friction velocity, COARE 3.0 (please see header) drag parameterization adjusted to OCARINA data, m s-1)\n... (12 more variables)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/AMOP_3b75_05e1_8951_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/AMOP_3b75_05e1_8951_iso19115.xml https://erddap.osupytheas.fr/erddap/info/AMOP_3b75_05e1_8951/index.htmlTable http://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/9d2f74a1-a7af-4062-a4e9-bd63b904856a (external link) http://erddap.osupytheas.fr/erddap/rss/AMOP_3b75_05e1_8951.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=AMOP_3b75_05e1_8951&showErrors=false&email= MIO UMR7294 CNRS AMOP_3b75_05e1_8951
https://erddap.osupytheas.fr/erddap/tabledap/BBWAVES_2015_proto1_02c1_999c_aa46.subset https://erddap.osupytheas.fr/erddap/tabledap/BBWAVES_2015_proto1_02c1_999c_aa46 https://erddap.osupytheas.fr/erddap/tabledap/BBWAVES_2015_proto1_02c1_999c_aa46.graph https://erddap.osupytheas.fr/erddap/files/BBWAVES_2015_proto1_02c1_999c_aa46/ public OCARINA BBWAVES 2015 experiment, prototype 1, level 2 surface and air-sea turbulent fluxes Turbulent air-sea fluxes and associated variables from the OCARINA wave-following and drifting platform (Bourras et al. 2014, DOI: 10.1175/JTECH-D-13-00055.)\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime2 (Time)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\npair (Air pressure, hPa)\ntair (Air Temperature, degree_C)\nhur (Relative air humidity, 1)\nsst (degree_C)\nrho (Density of air, kg m-3)\nrlds (downwelling longwave radiation flux, positive downward, W m-2)\nrlus (upwelling longwave radiation flux, positive upward, W m-2)\nrsds (downwelling shortwave radiation flux, positive downward, W m-2)\nrsus (upwelling shortwave radiation flux, positive upward, W m-2)\nwdir (Direction of the wind vector with respect to ground, measured positive clockwise from due north, degrees)\nwspd (Magnitude of wind velocity with respect to ground, m s-1)\nu10n (Equivalent neutral wind extrapolated at a 10-m height, from eddy-covariance calculation, m s-1)\nhsw (Significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)\nhsw_day (daily estimate of the significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)\nTsw (Inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)\nTsw_day (Daily estimate of the inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)\ntauu (Eastward component of the surface wind stress vector, from eddy-covariance calculation, Pa)\ntauv (Northward component of the surface wind stress vector, from eddy-covariance calculation, Pa)\nustar (Turbulent surface friction velocity, from eddy-covariance calculation, m s-1)\nhsv (Turbulent surface buoyancy flux, from eddy-covariance calculation, W m-2)\nzL (Monin-Obukhov ratio, which quantifies surface boundary layer stability, from eddy-covariance calculation, 1)\nustar_bulk (Turbulent surface friction velocity, COARE 3.0 (please see header) drag parameterization adjusted to OCARINA data, m s-1)\n... (12 more variables)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/BBWAVES_2015_proto1_02c1_999c_aa46_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/BBWAVES_2015_proto1_02c1_999c_aa46_iso19115.xml https://erddap.osupytheas.fr/erddap/info/BBWAVES_2015_proto1_02c1_999c_aa46/index.htmlTable http://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/9d2f74a1-a7af-4062-a4e9-bd63b904856a (external link) http://erddap.osupytheas.fr/erddap/rss/BBWAVES_2015_proto1_02c1_999c_aa46.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=BBWAVES_2015_proto1_02c1_999c_aa46&showErrors=false&email= MIO UMR7294 CNRS BBWAVES_2015_proto1_02c1_999c_aa46
https://erddap.osupytheas.fr/erddap/tabledap/BBWAVES_2016_proto1_5ecc_9507_edad.subset https://erddap.osupytheas.fr/erddap/tabledap/BBWAVES_2016_proto1_5ecc_9507_edad https://erddap.osupytheas.fr/erddap/tabledap/BBWAVES_2016_proto1_5ecc_9507_edad.graph https://erddap.osupytheas.fr/erddap/files/BBWAVES_2016_proto1_5ecc_9507_edad/ public OCARINA BBWAVES 2016 experiment, prototype 1, level 2 surface and air-sea turbulent fluxes Turbulent air-sea fluxes and associated variables from the OCARINA wave-following and drifting platform (Bourras et al. 2014, DOI: 10.1175/JTECH-D-13-00055.)\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime2 (Time)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\npair (Air pressure, hPa)\ntair (Air Temperature, degree_C)\nhur (Relative air humidity, 1)\nsst (degree_C)\nrho (Density of air, kg m-3)\nrlds (downwelling longwave radiation flux, positive downward, W m-2)\nrlus (upwelling longwave radiation flux, positive upward, W m-2)\nrsds (downwelling shortwave radiation flux, positive downward, W m-2)\nrsus (upwelling shortwave radiation flux, positive upward, W m-2)\nwdir (Direction of the wind vector with respect to ground, measured positive clockwise from due north, degrees)\nwspd (Magnitude of wind velocity with respect to ground, m s-1)\nu10n (Equivalent neutral wind extrapolated at a 10-m height, from eddy-covariance calculation, m s-1)\nhsw (Significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)\nhsw_day (daily estimate of the significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)\nTsw (Inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)\nTsw_day (Daily estimate of the inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)\ntauu (Eastward component of the surface wind stress vector, from eddy-covariance calculation, Pa)\ntauv (Northward component of the surface wind stress vector, from eddy-covariance calculation, Pa)\nustar (Turbulent surface friction velocity, from eddy-covariance calculation, m s-1)\nhsv (Turbulent surface buoyancy flux, from eddy-covariance calculation, W m-2)\nzL (Monin-Obukhov ratio, which quantifies surface boundary layer stability, from eddy-covariance calculation, 1)\nustar_bulk (Turbulent surface friction velocity, COARE 3.0 (please see header) drag parameterization adjusted to OCARINA data, m s-1)\n... (12 more variables)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/BBWAVES_2016_proto1_5ecc_9507_edad_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/BBWAVES_2016_proto1_5ecc_9507_edad_iso19115.xml https://erddap.osupytheas.fr/erddap/info/BBWAVES_2016_proto1_5ecc_9507_edad/index.htmlTable http://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/9d2f74a1-a7af-4062-a4e9-bd63b904856a (external link) http://erddap.osupytheas.fr/erddap/rss/BBWAVES_2016_proto1_5ecc_9507_edad.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=BBWAVES_2016_proto1_5ecc_9507_edad&showErrors=false&email= MIO UMR7294 CNRS BBWAVES_2016_proto1_5ecc_9507_edad
https://erddap.osupytheas.fr/erddap/tabledap/FROMVAR_142e_219c_c4aa.subset https://erddap.osupytheas.fr/erddap/tabledap/FROMVAR_142e_219c_c4aa https://erddap.osupytheas.fr/erddap/tabledap/FROMVAR_142e_219c_c4aa.graph https://erddap.osupytheas.fr/erddap/files/FROMVAR_142e_219c_c4aa/ public OCARINA FROMVAR 2011 experiment, prototype 1, level 2 surface and air-sea turbulent fluxes Turbulent air-sea fluxes and associated variables from the OCARINA wave-following and drifting platform (Bourras et al. 2014, DOI: 10.1175/JTECH-D-13-00055.)\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime2 (Time)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\npair (Air pressure, hPa)\ntair (Air Temperature, degree_C)\nhur (Relative air humidity, 1)\nsst (degree_C)\nrho (Density of air, kg m-3)\nrlds (downwelling longwave radiation flux, positive downward, W m-2)\nrlus (upwelling longwave radiation flux, positive upward, W m-2)\nrsds (downwelling shortwave radiation flux, positive downward, W m-2)\nrsus (upwelling shortwave radiation flux, positive upward, W m-2)\nwdir (Direction of the wind vector with respect to ground, measured positive clockwise from due north, degrees)\nwspd (Magnitude of wind velocity with respect to ground, m s-1)\nu10n (Equivalent neutral wind extrapolated at a 10-m height, from eddy-covariance calculation, m s-1)\nhsw (Significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)\nhsw_day (daily estimate of the significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)\nTsw (Inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)\nTsw_day (Daily estimate of the inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)\ntauu (Eastward component of the surface wind stress vector, from eddy-covariance calculation, Pa)\ntauv (Northward component of the surface wind stress vector, from eddy-covariance calculation, Pa)\nustar (Turbulent surface friction velocity, from eddy-covariance calculation, m s-1)\nhsv (Turbulent surface buoyancy flux, from eddy-covariance calculation, W m-2)\nzL (Monin-Obukhov ratio, which quantifies surface boundary layer stability, from eddy-covariance calculation, 1)\nustar_bulk (Turbulent surface friction velocity, COARE 3.0 (please see header) drag parameterization adjusted to OCARINA data, m s-1)\n... (12 more variables)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/FROMVAR_142e_219c_c4aa_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/FROMVAR_142e_219c_c4aa_iso19115.xml https://erddap.osupytheas.fr/erddap/info/FROMVAR_142e_219c_c4aa/index.htmlTable http://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/9d2f74a1-a7af-4062-a4e9-bd63b904856a (external link) http://erddap.osupytheas.fr/erddap/rss/FROMVAR_142e_219c_c4aa.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=FROMVAR_142e_219c_c4aa&showErrors=false&email= MIO UMR7294 CNRS FROMVAR_142e_219c_c4aa
https://erddap.osupytheas.fr/erddap/tabledap/STRASSE_89bd_108e_d909.subset https://erddap.osupytheas.fr/erddap/tabledap/STRASSE_89bd_108e_d909 https://erddap.osupytheas.fr/erddap/tabledap/STRASSE_89bd_108e_d909.graph https://erddap.osupytheas.fr/erddap/files/STRASSE_89bd_108e_d909/ public OCARINA STRASSE 2012 experiment, prototype 1, level 2 surface and air-sea turbulent fluxes Turbulent air-sea fluxes and associated variables from the OCARINA wave-following and drifting platform (Bourras et al. 2014, DOI: 10.1175/JTECH-D-13-00055.)\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime2 (Time)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\npair (Air pressure, hPa)\ntair (Air Temperature, degree_C)\nhur (Relative air humidity, 1)\nsst (degree_C)\nrho (Density of air, kg m-3)\nrlds (downwelling longwave radiation flux, positive downward, W m-2)\nrlus (upwelling longwave radiation flux, positive upward, W m-2)\nrsds (downwelling shortwave radiation flux, positive downward, W m-2)\nrsus (upwelling shortwave radiation flux, positive upward, W m-2)\nwdir (Direction of the wind vector with respect to ground, measured positive clockwise from due north, degrees)\nwspd (Magnitude of wind velocity with respect to ground, m s-1)\nu10n (Equivalent neutral wind extrapolated at a 10-m height, from eddy-covariance calculation, m s-1)\nhsw (Significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)\nhsw_day (daily estimate of the significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)\nTsw (Inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)\nTsw_day (Daily estimate of the inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)\ntauu (Eastward component of the surface wind stress vector, from eddy-covariance calculation, Pa)\ntauv (Northward component of the surface wind stress vector, from eddy-covariance calculation, Pa)\nustar (Turbulent surface friction velocity, from eddy-covariance calculation, m s-1)\nhsv (Turbulent surface buoyancy flux, from eddy-covariance calculation, W m-2)\nzL (Monin-Obukhov ratio, which quantifies surface boundary layer stability, from eddy-covariance calculation, 1)\nustar_bulk (Turbulent surface friction velocity, COARE 3.0 (please see header) drag parameterization adjusted to OCARINA data, m s-1)\n... (12 more variables)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/STRASSE_89bd_108e_d909_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/STRASSE_89bd_108e_d909_iso19115.xml https://erddap.osupytheas.fr/erddap/info/STRASSE_89bd_108e_d909/index.htmlTable http://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/9d2f74a1-a7af-4062-a4e9-bd63b904856a (external link) http://erddap.osupytheas.fr/erddap/rss/STRASSE_89bd_108e_d909.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=STRASSE_89bd_108e_d909&showErrors=false&email= MIO UMR7294 CNRS STRASSE_89bd_108e_d909
https://erddap.osupytheas.fr/erddap/tabledap/UPCAST_b0e2_399c_6fd2.subset https://erddap.osupytheas.fr/erddap/tabledap/UPCAST_b0e2_399c_6fd2 https://erddap.osupytheas.fr/erddap/tabledap/UPCAST_b0e2_399c_6fd2.graph https://erddap.osupytheas.fr/erddap/files/UPCAST_b0e2_399c_6fd2/ public OCARINA UPCAST 2017 experiment, prototype 1, level 2 surface and air-sea turbulent fluxes Turbulent air-sea fluxes and associated variables from the OCARINA wave-following and drifting platform (Bourras et al. 2014, DOI: 10.1175/JTECH-D-13-00055.)\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime2 (Time)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\npair (Air pressure, hPa)\ntair (Air Temperature, degree_C)\nhur (Relative air humidity, 1)\nsst (degree_C)\nrho (Density of air, kg m-3)\nrlds (downwelling longwave radiation flux, positive downward, W m-2)\nrlus (upwelling longwave radiation flux, positive upward, W m-2)\nrsds (downwelling shortwave radiation flux, positive downward, W m-2)\nrsus (upwelling shortwave radiation flux, positive upward, W m-2)\nwdir (Direction of the wind vector with respect to ground, measured positive clockwise from due north, degrees)\nwspd (Magnitude of wind velocity with respect to ground, m s-1)\nu10n (Equivalent neutral wind extrapolated at a 10-m height, from eddy-covariance calculation, m s-1)\nhsw (Significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)\nhsw_day (daily estimate of the significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)\nTsw (Inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)\nTsw_day (Daily estimate of the inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)\ntauu (Eastward component of the surface wind stress vector, from eddy-covariance calculation, Pa)\ntauv (Northward component of the surface wind stress vector, from eddy-covariance calculation, Pa)\nustar (Turbulent surface friction velocity, from eddy-covariance calculation, m s-1)\nhsv (Turbulent surface buoyancy flux, from eddy-covariance calculation, W m-2)\nzL (Monin-Obukhov ratio, which quantifies surface boundary layer stability, from eddy-covariance calculation, 1)\nustar_bulk (Turbulent surface friction velocity, COARE 3.0 (please see header) drag parameterization adjusted to OCARINA data, m s-1)\n... (12 more variables)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/UPCAST_b0e2_399c_6fd2_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/UPCAST_b0e2_399c_6fd2_iso19115.xml https://erddap.osupytheas.fr/erddap/info/UPCAST_b0e2_399c_6fd2/index.htmlTable http://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/9d2f74a1-a7af-4062-a4e9-bd63b904856a (external link) http://erddap.osupytheas.fr/erddap/rss/UPCAST_b0e2_399c_6fd2.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=UPCAST_b0e2_399c_6fd2&showErrors=false&email= MIO UMR7294 CNRS UPCAST_b0e2_399c_6fd2

 
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