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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/GIPREB_SondeCTD.subset https://erddap.osupytheas.fr/erddap/tabledap/GIPREB_SondeCTD https://erddap.osupytheas.fr/erddap/tabledap/GIPREB_SondeCTD.graph https://erddap.osupytheas.fr/erddap/files/GIPREB_SondeCTD/ public BERRE Observatoire GIPREB : donnees hydrologiques sonde CTD 1994-2023 (CSV) Evolution hydrologique et biologique de l'etang de Berre (France) données Sonde CTD\n\ncdm_data_type = Point\nVARIABLES:\nnom_station\ntime (Date Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nprofondeur_m (m)\ntemp_degreeC (Temp Degree C, degree_C)\npH (Sea Water Ph Reported On Total Scale)\nConductivity (Sea Water Electrical Conductivity, S.m-1)\nSalinite (mg.l-1)\nturbidity (1)\nO2Saturation (O2 Saturation, %)\nO2_ug_l (ug.l-1)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/GIPREB_SondeCTD_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/GIPREB_SondeCTD_iso19115.xml https://erddap.osupytheas.fr/erddap/info/GIPREB_SondeCTD/index.htmlTable https://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/20384474-8051-4ada-a33d-d16aea5d3a36 (external link) http://erddap.osupytheas.fr/erddap/rss/GIPREB_SondeCTD.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=GIPREB_SondeCTD&showErrors=false&email= GIPREB - OSU Pytheas GIPREB_SondeCTD
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/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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