OSU Pytheas ERDDAP OSU Pytheas
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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/Emso_Western_Ligurian_Bathybot_Optodes_CSV_2023.subset https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Bathybot_Optodes_CSV_2023 https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Bathybot_Optodes_CSV_2023.graph https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_Bathybot_Optodes_CSV_2023/ public EMSO-LO Western Ligurian : BJS_Bathydock Optode sensors (CSV files from 2023-09-20) 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 (EMSO-WL) 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 located close by 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 at the EMSO-WL station is based on two complementary components: an instrumented interface module (MII) and an autonomous instrumented line (ALBATROSS) as well as a junction box (BJS). The BathyFamily is a package of innovative multi-instrumented platforms to observe the deep sea. BathyBot is an Internet Operated Vehicle (IOV) deployed from a landing station (BathyDock), and close to BathyReef a 3D-printed biomimetic colonizer\n\ncdm_data_type = Point\nVARIABLES:\ntime (Datetime, seconds since 1970-01-01T00:00:00Z)\nProfondeur\nlatitude (degrees_north)\nlongitude (degrees_east)\noptode_type\nserial\nO2_concentration\nO2_saturation\nTemperature\nCalibrated_Phase\nTemp_Compensated_Phase\n... (5 more variables)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/Emso_Western_Ligurian_Bathybot_Optodes_CSV_2023_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/Emso_Western_Ligurian_Bathybot_Optodes_CSV_2023_iso19115.xml https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_Bathybot_Optodes_CSV_2023/index.htmlTable http://www.emso-fr.org/EMSO-France (external link) http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_Bathybot_Optodes_CSV_2023.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_Bathybot_Optodes_CSV_2023&showErrors=false&email= MIO UMR 7294 CNRS / OSU Pytheas Emso_Western_Ligurian_Bathybot_Optodes_CSV_2023
https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Bathybot_Aquadopp_CSV_2023.subset https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Bathybot_Aquadopp_CSV_2023 https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Bathybot_Aquadopp_CSV_2023.graph https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_Bathybot_Aquadopp_CSV_2023/ public EMSO-LO Western Ligurian : BJS_Bathydock_Bathybot Aquadopp sensor (CSV files from 2023-09-20) EMSO-LO Western Ligurian : BathyBot, Aquadopp sensor (Network Common Data Format (NetCDF) files from 2023-04-28). 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 (EMSO-WL) 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 located close by 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 at the EMSO-WL station is based on two complementary components: an instrumented interface module (MII) and an autonomous instrumented line (ALBATROSS) as well as a junction box (BJS). The BathyFamily is a package of innovative multi-instrumented platforms to observe the deep sea. BathyBot is an Internet Operated Vehicle (IOV) deployed from a landing station (BathyDock), and close to BathyReef a 3D-printed biomimetic colonizer\n\ncdm_data_type = Point\nVARIABLES:\ntime (Datetime, seconds since 1970-01-01T00:00:00Z)\nProfondeur\nlatitude (degrees_north)\nlongitude (degrees_east)\nX_East (m.s-1)\nY_North (m.s-1)\nZ_up (m.s-1)\nAmplitude_X (1)\nAmplitude_Y (1)\nAmplitude_Z (1)\n... (10 more variables)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/Emso_Western_Ligurian_Bathybot_Aquadopp_CSV_2023_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/Emso_Western_Ligurian_Bathybot_Aquadopp_CSV_2023_iso19115.xml https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_Bathybot_Aquadopp_CSV_2023/index.htmlTable http://www.emso-fr.org/EMSO-France (external link) http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_Bathybot_Aquadopp_CSV_2023.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_Bathybot_Aquadopp_CSV_2023&showErrors=false&email= MIO UMR 7294 CNRS / OSU Pytheas Emso_Western_Ligurian_Bathybot_Aquadopp_CSV_2023
https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Bathybot_Microcat_CSV_2023.subset https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Bathybot_Microcat_CSV_2023 https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Bathybot_Microcat_CSV_2023.graph https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_Bathybot_Microcat_CSV_2023/ public EMSO-LO Western Ligurian : BJS_Bathydock_Bathybot Microcat sensors (CSV files from 2023-09-20) 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 (EMSO-WL) 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 located close by 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 at the EMSO-WL station is based on two complementary components: an instrumented interface module (MII) and an autonomous instrumented line (ALBATROSS) as well as a junction box (BJS). The BathyFamily is a package of innovative multi-instrumented platforms to observe the deep sea. BathyBot is an Internet Operated Vehicle (IOV) deployed from a landing station (BathyDock), and close to BathyReef a 3D-printed biomimetic colonizer\n\ncdm_data_type = Point\nVARIABLES:\ntime (Datetime, seconds since 1970-01-01T00:00:00Z)\nProfondeur (metre)\nlatitude (degrees_north)\nlongitude (degrees_east)\nTemperature (degree_C)\nConductivite (Sea Water Electrical Conductivity, Siemens per metre)\nPression (decibars)\nSalinite (PSU)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/Emso_Western_Ligurian_Bathybot_Microcat_CSV_2023_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/Emso_Western_Ligurian_Bathybot_Microcat_CSV_2023_iso19115.xml https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_Bathybot_Microcat_CSV_2023/index.htmlTable http://www.emso-fr.org/EMSO-France (external link) http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_Bathybot_Microcat_CSV_2023.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_Bathybot_Microcat_CSV_2023&showErrors=false&email= MIO UMR 7294 CNRS / OSU Pytheas Emso_Western_Ligurian_Bathybot_Microcat_CSV_2023
https://erddap.osupytheas.fr/erddap/tabledap/Maupiti_all_2e8d_0018_629b.subset https://erddap.osupytheas.fr/erddap/tabledap/Maupiti_all_2e8d_0018_629b https://erddap.osupytheas.fr/erddap/tabledap/Maupiti_all_2e8d_0018_629b.graph https://erddap.osupytheas.fr/erddap/files/Maupiti_all_2e8d_0018_629b/ public Maupiti Hoe 2018 (CSV files) The scientific objectives of the project MAUPITI HOE are to understand the hydrodynamics of an archetypal reef-lagoon system of a high volcanic reef island. The physical functioning of the hydrosystem involves a fine coupling between water levels, waves (including wind, infragravity and VLF waves), currents and seabed structure (reef roughness). The present data focuses on the reef barrier dynamics\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstation_id\ntime (Datetime, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nsea_surface_swell_wave_significant_height (meter)\nsea_surface_infragravity_waves_significant_height (Sea Surface Wave Significant Height, meter)\nsurface_elevation\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/Maupiti_all_2e8d_0018_629b_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/Maupiti_all_2e8d_0018_629b_iso19115.xml https://erddap.osupytheas.fr/erddap/info/Maupiti_all_2e8d_0018_629b/index.htmlTable http://www.mio.osupytheas.fr/ (external link) http://erddap.osupytheas.fr/erddap/rss/Maupiti_all_2e8d_0018_629b.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Maupiti_all_2e8d_0018_629b&showErrors=false&email= MIO UMR7294 CNRS / OSU Pytheas Maupiti_all_2e8d_0018_629b
https://erddap.osupytheas.fr/erddap/tabledap/Maupiti_nc_e6d1_11db_50f4.subset https://erddap.osupytheas.fr/erddap/tabledap/Maupiti_nc_e6d1_11db_50f4 https://erddap.osupytheas.fr/erddap/tabledap/Maupiti_nc_e6d1_11db_50f4.graph https://erddap.osupytheas.fr/erddap/files/Maupiti_nc_e6d1_11db_50f4/ public Maupiti Hoe 2018 (NetCDF files) The scientific objectives of the project MAUPITI HOE are to understand the hydrodynamics of an archetypal reef-lagoon system of a high volcanic reef island. The physical functioning of the hydrosystem involves a fine coupling between water levels, waves (including wind, infragravity and VLF waves), currents and seabed structure (reef roughness). The present data focuses on the reef barrier dynamics\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstation_name\nstation_id (string)\ntime (datetime, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nsea_surface_swell_wave_significant_height (hauteur des vagues en surface, meter)\nsea_surface_infragravity_waves_significant_height (hauteur des vagues en surface infragravité, meter)\naltitude (Surface Elevation, m)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/Maupiti_nc_e6d1_11db_50f4_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/Maupiti_nc_e6d1_11db_50f4_iso19115.xml https://erddap.osupytheas.fr/erddap/info/Maupiti_nc_e6d1_11db_50f4/index.htmlTable https://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/9db3bec4-0bbf-4531-8864-f100c4b8eced (external link) http://erddap.osupytheas.fr/erddap/rss/Maupiti_nc_e6d1_11db_50f4.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Maupiti_nc_e6d1_11db_50f4&showErrors=false&email= MIO UMR7294 CNRS / OSU Pytheas Maupiti_nc_e6d1_11db_50f4
https://erddap.osupytheas.fr/erddap/tabledap/meteo_frioul_osu_pytheas.subset https://erddap.osupytheas.fr/erddap/tabledap/meteo_frioul_osu_pytheas https://erddap.osupytheas.fr/erddap/tabledap/meteo_frioul_osu_pytheas.graph https://erddap.osupytheas.fr/erddap/files/meteo_frioul_osu_pytheas/ public Meteorologie locale en baie de Marseille : Frioul Meteorological data from the Bay of Marseille based on the measurements taken on the site located on the Pomegues island\n\ncdm_data_type = Point\nVARIABLES:\ntime (Datetime, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDirection_Max (degree)\nRafale_m_s (Rafale(m/s), m.s-1)\nVitesse_moyenne_max (Vitesse Moyenne Max (m/s), m.s-1)\nDirection (Direction (degree), degree)\nTemperature (Temperature (degree C), degree_C)\nHumidite_relative (Humidite Relative (%), %)\nRayonnement_J_cm2 (Rayonnement(J/cm2), J.cm-2)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/meteo_frioul_osu_pytheas_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/meteo_frioul_osu_pytheas_iso19115.xml https://erddap.osupytheas.fr/erddap/info/meteo_frioul_osu_pytheas/index.htmlTable https://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/5c9f6377-726b-436b-aa0f-ecc32803ef88 (external link) http://erddap.osupytheas.fr/erddap/rss/meteo_frioul_osu_pytheas.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=meteo_frioul_osu_pytheas&showErrors=false&email= OSU Pytheas UMS 3470 CNRS meteo_frioul_osu_pytheas
https://erddap.osupytheas.fr/erddap/tabledap/meteo_endoume_1236 https://erddap.osupytheas.fr/erddap/tabledap/meteo_endoume_1236.graph https://erddap.osupytheas.fr/erddap/files/meteo_endoume_1236/ public Meteorologie locale en baie de Marseille : site Endoume Meteorological data from Marseille based on the measurements taken from Endoume site\n\ncdm_data_type = Point\nVARIABLES:\ntime (Datetime, seconds since 1970-01-01T00:00:00Z)\ntemperature_C (Temperature[C], degrees C)\nhumidity (Humidity[%], %)\ndew_point_C (Dew Point[C], degree C)\nsealevel_pressure_hPa (Sealevel Pressure[h Pa], hPa)\navg_wind_speed_m_s (Wind Speed, m.s-1)\ngust_speed_m_s (Wind Speed Of Gust, m.s-1)\nwinddir_degree (Wind From Direction, degree)\nrainfall00 (mm)\nlongitude (degrees_east)\nlatitude (degrees_north)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/meteo_endoume_1236_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/meteo_endoume_1236_iso19115.xml https://erddap.osupytheas.fr/erddap/info/meteo_endoume_1236/index.htmlTable http://dataset.osupytheas.fr/ (external link) http://erddap.osupytheas.fr/erddap/rss/meteo_endoume_1236.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=meteo_endoume_1236&showErrors=false&email= OSU Pytheas UAR 3470 CNRS meteo_endoume_1236
https://erddap.osupytheas.fr/erddap/tabledap/meteo_climed_8bcc.subset https://erddap.osupytheas.fr/erddap/tabledap/meteo_climed_8bcc https://erddap.osupytheas.fr/erddap/tabledap/meteo_climed_8bcc.graph https://erddap.osupytheas.fr/erddap/files/meteo_climed_8bcc/ public Meteorologie locale site \"climed\" chaine de l'Etoile Meteorological data from Marseille based on the measurements taken on \"CLIMED\" site chaine de l'Etoile\n\ncdm_data_type = Point\nVARIABLES:\ntime (Datetime, seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\nHumidity (Humidity (%), percent %)\nTemperature_Air (Temperature Air (degree C), degree C)\nSolar_radiation (Solar Radiation (W.m^-2), W.m-2)\nWind_direction (degree)\nWind_speed (m.s-1)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/meteo_climed_8bcc_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/meteo_climed_8bcc_iso19115.xml https://erddap.osupytheas.fr/erddap/info/meteo_climed_8bcc/index.htmlTable http://dataset.osupytheas.fr (external link) http://erddap.osupytheas.fr/erddap/rss/meteo_climed_8bcc.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=meteo_climed_8bcc&showErrors=false&email= OSU Pytheas UAR 3470 CNRS meteo_climed_8bcc
https://erddap.osupytheas.fr/erddap/tabledap/meteo_toulon_2ce5.subset https://erddap.osupytheas.fr/erddap/tabledap/meteo_toulon_2ce5 https://erddap.osupytheas.fr/erddap/tabledap/meteo_toulon_2ce5.graph https://erddap.osupytheas.fr/erddap/files/meteo_toulon_2ce5/ public Meteorologie locale site Toulon Meteorological data from  Toulon France (Var)\n\ncdm_data_type = Point\nVARIABLES:\ntime (Datetime, seconds since 1970-01-01T00:00:00Z)\nTemperature (Temperature (degree C))\nHumidity (Humidity (%))\nRainfall (Rainfall (6mn))\nSolar_radiation (Solar Radiation (W.m^-2))\nWind_Direction (Wind From Direction)\nWind_speed\nGust_Speed (Wind Speed Of Gust)\nGust_Direction (Gust Direction (degree))\nAir_pressure_at_station_level (Air Pressure)\nAir_pressure_at_sea_levele (Air Pressure)\nlatitude (degrees_north)\nlongitude (degrees_east)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/meteo_toulon_2ce5_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/meteo_toulon_2ce5_iso19115.xml https://erddap.osupytheas.fr/erddap/info/meteo_toulon_2ce5/index.htmlTable https://dataset.osupytheas.fr/ (external link) http://erddap.osupytheas.fr/erddap/rss/meteo_toulon_2ce5.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=meteo_toulon_2ce5&showErrors=false&email= OSU Pytheas UAR 3470 CNRS meteo_toulon_2ce5
https://erddap.osupytheas.fr/erddap/tabledap/Rhone_STPS_6938_d111_dd80.subset https://erddap.osupytheas.fr/erddap/tabledap/Rhone_STPS_6938_d111_dd80 https://erddap.osupytheas.fr/erddap/tabledap/Rhone_STPS_6938_d111_dd80.graph https://erddap.osupytheas.fr/erddap/files/Rhone_STPS_6938_d111_dd80/ public Rhone : Suivi des eaux du panache du Rhone en zone cotiere (CSV files) Suivi des eaux du Rhone en zone cotiere par mesure haute frequence de la temperature et de la salinite de surface\n\ncdm_data_type = TimeSeries\nVARIABLES:\nStation\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (DateTime, seconds since 1970-01-01T00:00:00Z)\nTemperature (degree_C)\nSalinite (PSU)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/Rhone_STPS_6938_d111_dd80_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/Rhone_STPS_6938_d111_dd80_iso19115.xml https://erddap.osupytheas.fr/erddap/info/Rhone_STPS_6938_d111_dd80/index.htmlTable https://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/79c421c5-9335-4957-88fa-804fb4ae4b43 (external link) http://erddap.osupytheas.fr/erddap/rss/Rhone_STPS_6938_d111_dd80.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Rhone_STPS_6938_d111_dd80&showErrors=false&email= MIO UMR7294 CNRS Rhone_STPS_6938_d111_dd80
https://erddap.osupytheas.fr/erddap/tabledap/Rhone_STPS_918a_9052_8a7e.subset https://erddap.osupytheas.fr/erddap/tabledap/Rhone_STPS_918a_9052_8a7e https://erddap.osupytheas.fr/erddap/tabledap/Rhone_STPS_918a_9052_8a7e.graph https://erddap.osupytheas.fr/erddap/files/Rhone_STPS_918a_9052_8a7e/ public Rhone : Suivi des eaux du panache du Rhone en zone cotiere (Netcdf files) Rhone : Suivi des eaux du panache du Rhone en zone cotiere. Suivi des eaux du Rhone en zone cotiere par mesure haute frequence de la temperature et de la salinite de surface\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstation_name\nstation (string)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (datetime, seconds since 1970-01-01T00:00:00Z)\ntemperature (degree_C)\nSalinite (PSU)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/Rhone_STPS_918a_9052_8a7e_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/Rhone_STPS_918a_9052_8a7e_iso19115.xml https://erddap.osupytheas.fr/erddap/info/Rhone_STPS_918a_9052_8a7e/index.htmlTable https://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/79c421c5-9335-4957-88fa-804fb4ae4b43 (external link) http://erddap.osupytheas.fr/erddap/rss/Rhone_STPS_918a_9052_8a7e.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Rhone_STPS_918a_9052_8a7e&showErrors=false&email= MIO UMR7294 CNRS Rhone_STPS_918a_9052_8a7e
https://erddap.osupytheas.fr/erddap/tabledap/soot_sea_data_f9c1.subset https://erddap.osupytheas.fr/erddap/tabledap/soot_sea_data_f9c1 https://erddap.osupytheas.fr/erddap/tabledap/soot_sea_data_f9c1.graph https://erddap.osupytheas.fr/erddap/files/soot_sea_data_f9c1/ public SOOT-SEA : Impact of Black Carbon in South East Asia (CSV file) Impact of Black Carbon in South East Asia\n\ncdm_data_type = Point\nVARIABLES:\nsample\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (Datetime, seconds since 1970-01-01T00:00:00Z)\ncycle\nvolume_filtered (m3)\nAl (Aluminium, ug.m-3)\nTi (Titane, ug.m-3)\nV (Vanadium, ug.m-3)\nCr (Chrome, ug.m-3)\nMn (Manganese, ug.m-3)\nFe (Fer, ug.m-3)\nCo (Cobalt, ug.m-3)\nNi (Nickel, ug.m-3)\nCu (Cuivre, ug.m-3)\nZn (Zinc, ug.m-3)\nAs (Arsenic, ug.m-3)\nAg (Argent, ug.m-3)\nCd (Cadmium, ug.m-3)\nSn (Etain, ug.m-3)\nSb (Antimoine, ug.m-3)\nCs (Cesium, ug.m-3)\nCe (Cerium, ug.m-3)\nNd (Neodyme, ug.m-3)\nPb208 (ug.m-3)\nU (Uranium, ng.m-3)\nHg (Mercure, ng.m-3)\n... (81 more variables)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/soot_sea_data_f9c1_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/soot_sea_data_f9c1_iso19115.xml https://erddap.osupytheas.fr/erddap/info/soot_sea_data_f9c1/index.htmlTable https://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/858fce6b-a882-43c0-b5d0-81e80efa7a1c (external link) http://erddap.osupytheas.fr/erddap/rss/soot_sea_data_f9c1.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=soot_sea_data_f9c1&showErrors=false&email= MIO UMR 7294 CNRS soot_sea_data_f9c1
https://erddap.osupytheas.fr/erddap/tabledap/SOOT_SEA_Netcdf_5228.subset https://erddap.osupytheas.fr/erddap/tabledap/SOOT_SEA_Netcdf_5228 https://erddap.osupytheas.fr/erddap/tabledap/SOOT_SEA_Netcdf_5228.graph https://erddap.osupytheas.fr/erddap/files/SOOT_SEA_Netcdf_5228/ public SOOT-SEA : Impact of Black Carbon in South East Asia 2019-2020 (NetCDF file) Study carried out during a complete annual cycle (weekly frequency). Aerosols were sampled for 24 hours using a large volume PM2.5 collector. Samples collected on quartz filters were analyzed to determine the concentrations of: - organic carbon (OC) and - elemental carbon (EC), - organic nitrogen (ON), - metals (Hg, Al, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Ag, Cd, Sn, Sb, Cs, Ce, Nd, Pb, U), - Pb isotopes, - PAHs, sugars, ions, organic acids, humic-like substances (HULIS).The oxidizing potential (OP) of these particles was determined using the DTT (Dithiotreithol) method.\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstation_name\nSample (count)\nlatitude (degree, degrees_north)\nlongitude (degree, degrees_east)\ntime (datetime, seconds since 1970-01-01T00:00:00Z)\nCycle (hour, hour)\nVolume_filtered (m3)\nAl (Aluminium, ug.m-3)\nTi (Titane, ug.m-3)\nV (Vanadium, ug.m-3)\nCr (Chrome, ug.m-3)\nMn (Manganese, ug.m-3)\nFe (Fer, ug.m-3)\nCo (Cobalt, ug.m-3)\nNi (Nickel, ug.m-3)\nCu (Cuivre, ug.m-3)\nZn (Zinc, ug.m-3)\nAs (Arsenic, ug.m-3)\nAg (Argent, ug.m-3)\nCd (Cadmium, ug.m-3)\nSn (Etain, ug.m-3)\nSb (Antimoine, ug.m-3)\n... (87 more variables)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/SOOT_SEA_Netcdf_5228_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/SOOT_SEA_Netcdf_5228_iso19115.xml https://erddap.osupytheas.fr/erddap/info/SOOT_SEA_Netcdf_5228/index.htmlTable https://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/858fce6b-a882-43c0-b5d0-81e80efa7a1c (external link) http://erddap.osupytheas.fr/erddap/rss/SOOT_SEA_Netcdf_5228.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=SOOT_SEA_Netcdf_5228&showErrors=false&email= MIO UMR 7294 CNRS SOOT_SEA_Netcdf_5228
https://erddap.osupytheas.fr/erddap/tabledap/mio_carlotti_zooplankton_26e9_1480_c5af.subset https://erddap.osupytheas.fr/erddap/tabledap/mio_carlotti_zooplankton_26e9_1480_c5af https://erddap.osupytheas.fr/erddap/tabledap/mio_carlotti_zooplankton_26e9_1480_c5af.graph https://erddap.osupytheas.fr/erddap/files/mio_carlotti_zooplankton_26e9_1480_c5af/ public Zooplankton timeseries Marseille bay (CSV file) describing the dynamics of the mesozooplankton community both in term of biomass and taxonomic groups. This dataset contains the planktonic organisms collected by a WP2 net (Diameter 55 cm; Length : 3 m; Mesh size: 200??m mesh) and therefore covering zooplanktonic organisms from 200??m to ~2cm.\n\ncdm_data_type = Point\nVARIABLES:\ntime (Datetime, seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nlatitude (degrees_north)\nlongitude (degrees_east)\nbiomass_fraction_gt_2000_um (mg DW.m-3)\nbiomass_fraction_1000_2000_um (mg DW.m-3)\nbiomass_fraction_500_1000_um (mg DW.m-3)\nbiomass_fraction_300_500_um (mg DW.m-3)\nbiomass_fraction_200_300_um (mg DW.m-3)\nbiomass_fraction_80_200_um (mg DW.m-3)\nTotal_biomass (mg DW.m-3)\nBivalvia (nb ind.m-3)\nChaetognatha (nb ind.m-3)\nCalanoida (nb ind.m-3)\nOithonoida (nb ind.m-3)\nErgasilida (nb ind.m-3)\nHarpacticoida (nb ind.m-3)\nFish_Eggs (nb ind.m-3)\nNauplii (nb ind.m-3)\nSalpida (nb ind.m-3)\nCrustacea (nb ind.m-3)\nPteropoda (nb ind.m-3)\nAppendicularia (nb ind.m-3)\nCnidaria (nb ind.m-3)\nOthers (nb ind.m-3)\nTotal_Abundance (nb ind.m-3)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/mio_carlotti_zooplankton_26e9_1480_c5af_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/mio_carlotti_zooplankton_26e9_1480_c5af_iso19115.xml https://erddap.osupytheas.fr/erddap/info/mio_carlotti_zooplankton_26e9_1480_c5af/index.htmlTable https://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/6da3237c-4732-4c71-b7f1-140c7b2dcdaa (external link) http://erddap.osupytheas.fr/erddap/rss/mio_carlotti_zooplankton_26e9_1480_c5af.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=mio_carlotti_zooplankton_26e9_1480_c5af&showErrors=false&email= MIO UMR 7294 CNRS mio_carlotti_zooplankton_26e9_1480_c5af
https://erddap.osupytheas.fr/erddap/tabledap/mio_carlotti_zooplankton_54fe_0d31_5b8b.subset https://erddap.osupytheas.fr/erddap/tabledap/mio_carlotti_zooplankton_54fe_0d31_5b8b https://erddap.osupytheas.fr/erddap/tabledap/mio_carlotti_zooplankton_54fe_0d31_5b8b.graph https://erddap.osupytheas.fr/erddap/files/mio_carlotti_zooplankton_54fe_0d31_5b8b/ public Zooplankton timeseries Marseille bay (NetCDF files) This series is part of the long-term planktonic monitoring of Marseille Oceanographic Laboratories (successively Centre Océanographique de Marseille, Laboratoire d’Océanographie Biologique, Laboratoire d’Océanographie Physique et Biogéochimique, and presently Mediterranean Institute of oceanography / OSU Pytheas ).  It aims at describing the dynamics of the mesozooplankton community both in term of biomass and taxonomic groups.  This dataset contains the planktonic organisms collected by a WP2 net (Diameter 55 cm; Length : 3 m; Mesh size: 200μm mesh) and therefore covering zooplanktonic organisms from 200µm to ~2cm.  The sampling is carried out twice a month at a fixed station in the center of the bay of Marseille (43.2417°N; 5.29167°E) with a depth of 60m (see https://www.somlit.fr/marseille/ ).  The WP2 net (200μm mesh) is hauled vertically from 55 to the surface. Sample preserved in 4% buffered formalin and stored over the long term at the MIO.  Sample have bee scanned on a ZooScan, images processed with ZooProcess and sorted taxonomically on Particle Trieur, within the Plateforme Microscopie et IMagerie (MIM).  The data collection and processing has been funded by several projects over its lifetime. It is currently supported directly by the Mediterranean Institute of oceanography (MIO), as part of its long-term monitoring effort associated with SOMLIT. (https://www.somlit.fr/marseille/). Sont remerciés pour leur contributions à l’échantillonnage et/ou au traitement des échantillons Loic Guilloux; Theo Garcia; Salome Chen; Katty Donoso; Antoine Nowaxzyk; Virginie Riandey; Emmanuel Dieval; Karim Morsly; Nada Neffati; Baptiste Lebourg; Antony Dron\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstation_name\ntime (datetime, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nbiomass_fraction_gt_2000_um (biomass fraction > 2000 um, mg DW.m-3)\nbiomass_fraction_1000_2000_um (mg DW.m-3)\nbiomass_fraction_500_1000_um (mg DW.m-3)\nbiomass_fraction_300_500_um (mg DW.m-3)\nbiomass_fraction_200_300_um (mg DW.m-3)\n... (17 more variables)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/mio_carlotti_zooplankton_54fe_0d31_5b8b_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/mio_carlotti_zooplankton_54fe_0d31_5b8b_iso19115.xml https://erddap.osupytheas.fr/erddap/info/mio_carlotti_zooplankton_54fe_0d31_5b8b/index.htmlTable https://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/6da3237c-4732-4c71-b7f1-140c7b2dcdaa (external link) http://erddap.osupytheas.fr/erddap/rss/mio_carlotti_zooplankton_54fe_0d31_5b8b.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=mio_carlotti_zooplankton_54fe_0d31_5b8b&showErrors=false&email= MIO UMR 7294 CNRS mio_carlotti_zooplankton_54fe_0d31_5b8b

 
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