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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/GL_TV_HF_HFR-MedTln.subset https://erddap.osupytheas.fr/erddap/tabledap/GL_TV_HF_HFR-MedTln https://erddap.osupytheas.fr/erddap/tabledap/GL_TV_HF_HFR-MedTln.graph https://erddap.osupytheas.fr/erddap/files/GL_TV_HF_HFR-MedTln/ public HF radar - reprocessed data - Global Ocean, near-surface zonal and meridional velocities Global Ocean - near-surface zonal and meridional raw velocities measured by High Frequency radars. Hourly High Frequency Radar (HFR) surface current data (ocean surface vel\nocity) from 2 different stations located on the French Mediterranean coast (Toulon), reprocessed.\n\ncdm_data_type = Grid\nVARIABLES:\nlatitude (Latitude of each location, degrees_north)\nlongitude (Longitude of each location, degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ncrs\nSDN_CRUISE (Grid grouping label)\nSDN_STATION (Grid label)\nSDN_LOCAL_CDI_ID (SeaDataNet CDI identifier)\nSDN_REFERENCES (Usage metadata reference)\ndepth (m)\nEWCT (West-east current component, m s-1)\nNSCT (South-north current component, m s-1)\nUACC (Accuracy of surface eastward sea water velocity, m s-1)\nVACC (Accuracy of surface northward sea water velocity, m s-1)\nGDOP (Geometrical dilution of precision, 1)\nTIME_QC (Time quality flag, 1)\nPOSITION_QC (Position quality flag, 1)\nDEPH_QC (Depth quality flag, 1)\nQCflag (Overall quality flag, 1)\nVART_QC (Variance threshold quality flag, 1)\nGDOP_QC (GDOP threshold quality flag, 1)\nDDNS_QC (Data density threshold quality flag, 1)\nCSPD_QC (Velocity threshold quality flag, 1)\nNARX (Number of receive antennas, 1)\nNATX (Number of transmit antennas, 1)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/GL_TV_HF_HFR-MedTln_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/GL_TV_HF_HFR-MedTln_iso19115.xml https://erddap.osupytheas.fr/erddap/info/GL_TV_HF_HFR-MedTln/index.htmlTable https://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/GL_TV_HF_HFR-MedTln-Total-reprocessed (external link) http://erddap.osupytheas.fr/erddap/rss/GL_TV_HF_HFR-MedTln.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=GL_TV_HF_HFR-MedTln&showErrors=false&email= MIO UMR 7294 CNRS - Marseille GL_TV_HF_HFR-MedTln
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/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

 
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