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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/griddap/simu_guyennon_daily_chl https://erddap.osupytheas.fr/erddap/griddap/simu_guyennon_daily_chl.graph public Daily Chl of NEMO_MED12-Eco3M simulation by Guyennon et al. (2015) Daily Chl of NEMO_MED12-Eco3M simulation by Guyennon et al. (2015)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][y][x]):\nChltot\nnav_lon (Longitude)\nnav_lat (Latitude)\n https://erddap.osupytheas.fr/erddap/info/simu_guyennon_daily_chl/index.htmlTable http://www.biogeosciences.net/12/7025/2015/ (external link) http://erddap.osupytheas.fr/erddap/rss/simu_guyennon_daily_chl.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=simu_guyennon_daily_chl&showErrors=false&email= MIO UMR7294 CNRS / OSU Pytheas simu_guyennon_daily_chl
https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2016.subset https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2016 https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2016.graph https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2016/ public EMSO Western Ligurian : Albatross mooring, AQUADOPP sensor (CSV 2016-2017) 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 = Other\nVARIABLES:\nId\ntime (seconds since 1970-01-01T00:00:00Z)\nDepth\nX_East\nY_North\nZ_Up\nAmplitude_X\nAmplitude_Y\nAmplitude_Z\nBatterie\n... (8 more variables)\n https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2016/index.htmlTable http://www.emso-fr.org/EMSO-France (external link) http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2016.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2016&showErrors=false&email= MIO UMR 7294 CNRS / OSU Pytheas Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2016
https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2018.subset https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2018 https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2018.graph https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2018/ public EMSO Western Ligurian : Albatross mooring, AQUADOPP sensor (CSV 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 = Other\nVARIABLES:\nId\ntime (seconds since 1970-01-01T00:00:00Z)\nDepth\nX_East\nY_North\nZ_Up\nAmplitude_X\nAmplitude_Y\nAmplitude_Z\nBatterie\n... (8 more variables)\n https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2018/index.htmlTable http://www.emso-fr.org/EMSO-France (external link) http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2018.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2018&showErrors=false&email= MIO UMR 7294 CNRS / OSU Pytheas Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2018
https://erddap.osupytheas.fr/erddap/griddap/DINEOF_59f6_b797_92a2 https://erddap.osupytheas.fr/erddap/griddap/DINEOF_59f6_b797_92a2.graph https://erddap.osupytheas.fr/erddap/wms/DINEOF_59f6_b797_92a2/request https://erddap.osupytheas.fr/erddap/files/DINEOF_59f6_b797_92a2/ public HF radar daily averaged sea surface current filterd by dineof Daily High Frequency Radar (HFR) surface current data (radial velocity files and total velocity file) from 2 different stations located on the French Mediterranean coast (Toulon), spanning from January 2012 to December 2019. The radial datasets have been processed to remove outliers. Then the gaps in the data have been filled using the DINEOF algorithm. The total velocity is then reconstructed from the filled radial velocity files, and projected onto a cartesian grid of 1kmx1km.\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)\nQCflag (Overall Quality Flags, 1)\nGDOP (Geometrical Dilution Of Precision, 1)\nPOSITION_QC (Position Quality Flag, 1)\nGDOP_QC (GDOP Threshold Quality Flags, 1)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/DINEOF_59f6_b797_92a2_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/DINEOF_59f6_b797_92a2_iso19115.xml https://erddap.osupytheas.fr/erddap/info/DINEOF_59f6_b797_92a2/index.htmlTable http://hfradar.univ-tln.fr/HFRADAR/squel.php?content=accueil (external link) http://erddap.osupytheas.fr/erddap/rss/DINEOF_59f6_b797_92a2.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=DINEOF_59f6_b797_92a2&showErrors=false&email= Mediterranean Institute of Oceanography DINEOF_59f6_b797_92a2
https://erddap.osupytheas.fr/erddap/griddap/cmems_nc_cf0e_c84a_8ead https://erddap.osupytheas.fr/erddap/griddap/cmems_nc_cf0e_c84a_8ead.graph https://erddap.osupytheas.fr/erddap/wms/cmems_nc_cf0e_c84a_8ead/request https://erddap.osupytheas.fr/erddap/files/cmems_nc_cf0e_c84a_8ead/ public HF radar data hourly processed in real-time of the Surface Ocean Velocity in MedSea Sea surface currents recorded by High Frequency (HF) radar in the north-western Mediterranean Sea. The network has been in situ on the French Riviera since 2012 and is operated by MIO - the Mediterranean Institute of Oceanography (UMR Aix Marseille Universite, CNRS, IRD, Universite de Toulon).\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)\nGDOP (Geometrical Dilution Of Precision, 1)\nPOSITION_QC (1)\nQCflag (1)\nVART_QC (1)\nGDOP_QC (1)\nDDNS_QC (1)\nCSPD_QC (1)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/cmems_nc_cf0e_c84a_8ead_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/cmems_nc_cf0e_c84a_8ead_iso19115.xml https://erddap.osupytheas.fr/erddap/info/cmems_nc_cf0e_c84a_8ead/index.htmlTable https://erddap.osupytheas.fr http://erddap.osupytheas.fr/erddap/rss/cmems_nc_cf0e_c84a_8ead.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=cmems_nc_cf0e_c84a_8ead&showErrors=false&email= MIO UMR7294 CNRS / OSU Pytheas cmems_nc_cf0e_c84a_8ead
https://erddap.osupytheas.fr/erddap/griddap/HFradar_MonthlyAveraged_May2012_Sept2014 https://erddap.osupytheas.fr/erddap/griddap/HFradar_MonthlyAveraged_May2012_Sept2014.graph https://erddap.osupytheas.fr/erddap/wms/HFradar_MonthlyAveraged_May2012_Sept2014/request https://erddap.osupytheas.fr/erddap/files/HFradar_MonthlyAveraged_May2012_Sept2014/ public HF radar monthly Near Real Time Surface Ocean Velocity by MedSea (Toulon area) 2012-2019 The  dataset  consists  of  maps  of  total velocity of the surface current in the Meditarranean Sea in the area of Toulon averaged  over  a time interval of 1 hour starting from the cardinal hour.\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)\nEKE (Eddy Kinetical Energy, m2 s-2)\nEWCS (Standard Deviation of Surface Eastward Sea Water Velocity, m s-1)\nNSCS (Standard Deviation of Surface Northward Sea Water Velocity, m s-1)\nGDOP (Geometrical Dilution Of Precision, 1)\nPOSITION_QC (Position Quality Flags, 1)\nQCflag (Overall Quality Flags, 1)\nVART_QC (Variance Threshold Quality Flags, 1)\nGDOP_QC (GDOP Threshold Quality Flags, 1)\nDDNS_QC (Data Density Threshold Quality Flags, 1)\nCSPD_QC (Velocity Threshold Quality Flags, 1)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/HFradar_MonthlyAveraged_May2012_Sept2014_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/HFradar_MonthlyAveraged_May2012_Sept2014_iso19115.xml https://erddap.osupytheas.fr/erddap/info/HFradar_MonthlyAveraged_May2012_Sept2014/index.htmlTable http://hfradar.univ-tln.fr/HFRADAR/squel.php?content=Historique.php (external link) http://erddap.osupytheas.fr/erddap/rss/HFradar_MonthlyAveraged_May2012_Sept2014.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=HFradar_MonthlyAveraged_May2012_Sept2014&showErrors=false&email= MIO UMR7294 CNRS HFradar_MonthlyAveraged_May2012_Sept2014
https://erddap.osupytheas.fr/erddap/griddap/laser-med_climato https://erddap.osupytheas.fr/erddap/griddap/laser-med_climato.graph https://erddap.osupytheas.fr/erddap/wms/laser-med_climato/request https://erddap.osupytheas.fr/erddap/files/laser-med_climato/ public LaSer-MED Regional Climate Projection (1985-2100) Climate Projection (1985-2100) of the mediterranean biogeochemistry provided by the CNRM-RCSM4/Eco3M-MED model under a regional RCP8.5 scenario (LaSeR-Med project)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nAMON (Ammonium (NH4-N) content, umol/l)\nNTRA (Nitrate (NO3-N) content, umol/l)\nPHOS (Phosphate (PO4-P) content, umol/l)\nCHLT (Chlorophyll total, mg/m3)\nPAR (Photosynthetically Available Radiation, W/m^2)\nHBAC (Mole concentration of heterotrophic bacteria expressed as carbon in sea water, mol/m^3)\nHBAN (Mole concentration of heterotrophic bacteria expressed as nitrogen in sea water, mol/m^3)\nHBAP (Mole concentration of heterotrophic bacteria expressed as phosphorus in sea water, mol/m^3)\nHBAW (Nb Of Heterotrophic Bacteria, nb/ml)\nCIMC (Mole concentration of microzooplankton expressed as carbon in sea water, mol/m^3)\nCICW (Number of seawater ciliates, nb/l)\nCIMN (Mole concentration of microzooplankton expressed as nitrogen in sea water, mol/m^3)\nCIMP (Mole concentration of microzooplankton expressed as phophorus in sea water, mol/m^3)\nTotMeszMassC (Biomass as carbon of mesozooplankton, mg/m^3)\nCOPP (Number of copepods, nb/m^3)\nNFHC (Mole concentration of heterotrophic nanoflagellates expressed as carbon in sea water, mol/m^3)\nNFHW (Number of heterotrophic nanoflagellates, nb/l)\nNFHN (Mole concentration of heterotrophic nanoflagellates expressed as nitrogen in sea water, mol/m^3)\nNFHP (Mole concentration of heterotrophic nanoflagellatesexpressed as phosphorus in sea water, mol/m^3)\nLPHC (Mole concentration of large phytoplankton expressed as carbon in sea water, mol/m^3)\nLPHCW (Large phytoplankton abundance, nb/l)\nLPHCHL (Mole concentration of large phytoplankton expressed as chlorophyl in sea water, mol/m^3)\nLPHN (Mole concentration of large phytoplankton expressed as nitrogen in sea water, mol/m^3)\nLPHP (Mole concentration of large phytoplankton expressed as phosphorus in sea water, mol/m^3)\nSPHC (Mole concentration of small phytoplankton expressed as carbon in sea water, mol/m^3)\nSPHCW (Small phytoplankton abundance, nb/ml)\n... (7 more variables)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/laser-med_climato_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/laser-med_climato_iso19115.xml https://erddap.osupytheas.fr/erddap/info/laser-med_climato/index.htmlTable ??? http://erddap.osupytheas.fr/erddap/rss/laser-med_climato.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=laser-med_climato&showErrors=false&email= MIO UMR7294 CNRS, Marseille laser-med_climato
https://erddap.osupytheas.fr/erddap/griddap/chltot_daily_41d1_7136_76e7 https://erddap.osupytheas.fr/erddap/griddap/chltot_daily_41d1_7136_76e7.graph public NEMO Eco3M daily Chl simulation by Guyennon Data from a local source.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][y][x]):\nChltot\n https://erddap.osupytheas.fr/erddap/info/chltot_daily_41d1_7136_76e7/index.htmlTable ??? http://erddap.osupytheas.fr/erddap/rss/chltot_daily_41d1_7136_76e7.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=chltot_daily_41d1_7136_76e7&showErrors=false&email= MIO UMR7294 CNRS / OSU Pytheas chltot_daily_41d1_7136_76e7
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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