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griddap Subset tabledap Make A Graph wms files Title Summary FGDC ISO 19115 Info Background Info RSS Email Institution Dataset ID
https://erddap.sochic-h2020.eu/erddap/tabledap/AntAWS_3H.subset https://erddap.sochic-h2020.eu/erddap/tabledap/AntAWS_3H https://erddap.sochic-h2020.eu/erddap/tabledap/AntAWS_3H.graph https://erddap.sochic-h2020.eu/erddap/files/AntAWS_3H/ AntAWS - 3 Houarly A meteorological dataset derived from Antarctic automatic weather station records at 3-h resolution, daily and monthly, including quality control information. This dataset integrates measurements of air temperature, atmospheric pressure, wind speed and direction from 267 Antarctic AWSs obtained from 1980 to 2021. The spatial distribution of the AWSs remains heterogeneous, with most of the instruments located in nearshore areas and only a few inland on the East Antarctic Plateau.\n\ncdm_data_type = Other\nVARIABLES:\nPLATFORM_NAME\ninstitution\nlatitude (degrees_north)\nlongitude (degrees_east)\nelevation (m)\nDRYT (Air Temperature, degrees Celsius)\nATMP (Air Pressure, hPa)\nWSPD (Wind Speed, m/s)\nWDIR (WInd direction, degrees)\nRELH (Relative Humidity, %)\ntime (seconds since 1970-01-01T00:00:00Z)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/AntAWS_3H_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/AntAWS_3H_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/AntAWS_3H/index.htmlTable https://amrdcdata.ssec.wisc.edu/dataset/antaws-dataset (external link) https://erddap.sochic-h2020.eu/erddap/rss/AntAWS_3H.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=AntAWS_3H&showErrors=false&email= AMRDC AntAWS_3H
https://erddap.sochic-h2020.eu/erddap/tabledap/EP_ERD_SOO_BIOA_NN_NN_J18 https://erddap.sochic-h2020.eu/erddap/tabledap/EP_ERD_SOO_BIOA_NN_NN_J18.graph https://erddap.sochic-h2020.eu/erddap/files/EP_ERD_SOO_BIOA_NN_NN_J18/ ASPeCt-Bio: Chlorophyll a in Antarctic sea ice from historical ice core dataset ASPeCt-Bio: Chlorophyll a in Antarctic sea ice from historical ice core dataset. Virginia Institute of Marine Science data from a local source.\n\ncdm_data_type = Other\nVARIABLES:\nPlatformCode (Platform Code)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndescriptor\ndate\ntime (seconds since 1970-01-01T00:00:00Z)\nWC_NH4 (Mole Concentration Of Ammonium In Sea Water, mol)\nWC_ChlPigs (Concentration Of Chlorophyll In Sea Water, (mu * g.l^-1))\nDOC (DOC(µmol\\.l-1), micromol/-1)\nNORG (Dissolved Organic Nitrogen, micromol/-1)\nDEPHT (m)\nLLAD (Lower Limit of Ammonium Depth range, m)\nLLCD (Lower Limit of Chlorophyll Depth range, m)\nLLDOCD (Lower Limit of DOC Depth range, m)\nLLDOND (Lower Limitof DON Depth range, m)\nLLNID (Lower Limit of Nitrate Depth range, m)\nLLND (Lower Limit of Nitrite Depth range, m)\nLLPOCD (Lower Limitof POC Depth range, m)\nLLPOND (Lower Limitof PON Depth range, m)\nLLPD (Lower Limit of Phosphate Depth range, m)\nLLSD (Lower Limit of Salinity Depth range, m)\nLLSID (Lower Limit of Silicate Depthrange, m)\nWC_NO3 (Nitrate concentration parameters in the water column)\nWC_NO2 (Nitrite concentration parameters in the water column)\nPOC_mol_l_1 (POC(µmol\\.l-1))\nPON_mol_l_1 (PON(µmol\\.l-1))\n... (15 more variables)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/EP_ERD_SOO_BIOA_NN_NN_J18_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/EP_ERD_SOO_BIOA_NN_NN_J18_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/EP_ERD_SOO_BIOA_NN_NN_J18/index.htmlTable https://data.aad.gov.au/metadata/records/ASPeCt-Bio (external link) https://erddap.sochic-h2020.eu/erddap/rss/EP_ERD_SOO_BIOA_NN_NN_J18.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=EP_ERD_SOO_BIOA_NN_NN_J18&showErrors=false&email= Virginia Institute of Marine Science EP_ERD_SOO_BIOA_NN_NN_J18
https://erddap.sochic-h2020.eu/erddap/tabledap/Australian_Antarctic_Program.subset https://erddap.sochic-h2020.eu/erddap/tabledap/Australian_Antarctic_Program https://erddap.sochic-h2020.eu/erddap/tabledap/Australian_Antarctic_Program.graph Australian Antarctic Program Survey Webcams Australian Antarctic Program - Dataset of fixed  webcams in Antarctica\n\ncdm_data_type = Other\nVARIABLES:\nPlatformCode\nOwner\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\nLink\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/Australian_Antarctic_Program_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/Australian_Antarctic_Program_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/Australian_Antarctic_Program/index.htmlTable https://www.antarctica.gov.au/antarctic-operations/webcams/ (external link) https://erddap.sochic-h2020.eu/erddap/rss/Australian_Antarctic_Program.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=Australian_Antarctic_Program&showErrors=false&email= Australian Antarctic Program Australian_Antarctic_Program
https://erddap.sochic-h2020.eu/erddap/tabledap/ADH_BAS_AWS.subset https://erddap.sochic-h2020.eu/erddap/tabledap/ADH_BAS_AWS https://erddap.sochic-h2020.eu/erddap/tabledap/ADH_BAS_AWS.graph https://erddap.sochic-h2020.eu/erddap/files/ADH_BAS_AWS/ Automatic Atmospheric Weather Stations - time series Time sereiers of atmospheric weather station in Antarctica: Pressure, Air Temperature, Wind speed and direction. Observations were recorded every 3 or six hours for the first part of the record and then at hourly intervals in the later part when electronic measuring systems were introduced in the 1980s and 1990s.\n\ncdm_data_type = Point\nVARIABLES:\nPLATFORMCODE (Platform Id)\noperator (State)\nOwner (Data Owner)\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nelevation (Height)\nDRYT (Air Temperature, degrees C)\nATMP (Air pressure)\nWSPD (Wind Speed, knots)\nWDIR (Wind From Direction, degrees)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/ADH_BAS_AWS_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/ADH_BAS_AWS_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/ADH_BAS_AWS/index.htmlTable https://www.bas.ac.uk/ (external link) https://erddap.sochic-h2020.eu/erddap/rss/ADH_BAS_AWS.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=ADH_BAS_AWS&showErrors=false&email= British Antarctic Survey ADH_BAS_AWS
https://erddap.sochic-h2020.eu/erddap/griddap/INSITU_GLO_PHY_TS_OA_MY_013_052 https://erddap.sochic-h2020.eu/erddap/griddap/INSITU_GLO_PHY_TS_OA_MY_013_052.graph https://erddap.sochic-h2020.eu/erddap/files/INSITU_GLO_PHY_TS_OA_MY_013_052/ CMEMS - CORA: Coriolis Ocean database for ReAnalysis \"The COriolis Ocean Dataset for Reanalysis (hereafter \"\"CORA\"\") product is a global dataset of in situ temperature and salinity measurements. The CORA observations comes from many different sources collected by Coriolis data centre in collaboration with the In Situ Thematic Centre of the Copernicus Marine Service (CMEMS INSTAC). The observation integrated in the CORA product have been acquired both by autonomous platforms (Argo profilers, fixed moorings , gliders , drifters, sea mammals) , research or opportunity vessels (CTDs, XBTs, ferrybox).\nFrom the near real time CMEMS In Situ Thematic Centre product validated on a daily and weekly basis for forecasting purposes, a scientifically validated product is created. It s a \"\"reference product\"\" updated on a yearly basis since 2007. This product has been controlled using an objective analysis (statistical tests) method and a visual quality control (QC). This QC procedure has been developed with the main objective to improve the quality of the dataset to the level required by the climate application and the physical ocean re-analysis activities. It provides T and S weekly gridded fields and individual profiles both on their original level with QC flags and interpolated level. The measured parameters, depending on the data source, are : temperature, salinity. The reference level of measurements is immersion (in meters) or pressure (in decibars).\nCORA contains historical profiles extracted from the EN.4 global T&S dataset, World Ocean Atlas, SeaDataNet, ICES and other data aggregators.\"\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nPSAL (practical salinity, psu)\nPSAL_ERR (Practical salinity Error, PSS-78)\nPSAL_PCTVAR (Error on salinity  (% variance), percent)\nTEMP (sea temperature, degree_Celsius)\nTEMP_ERR (Temperature Error, degree_Celsius)\nTEMP_PCTVAR (Error on temperature  (% variance), percent)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/INSITU_GLO_PHY_TS_OA_MY_013_052_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/INSITU_GLO_PHY_TS_OA_MY_013_052_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/INSITU_GLO_PHY_TS_OA_MY_013_052/index.htmlTable https://www.seanoe.org/data/00351/46219/ (external link) https://erddap.sochic-h2020.eu/erddap/rss/INSITU_GLO_PHY_TS_OA_MY_013_052.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=INSITU_GLO_PHY_TS_OA_MY_013_052&showErrors=false&email= Copernicus Marine Service (CMEMS) INSITU_GLO_PHY_TS_OA_MY_013_052
https://erddap.sochic-h2020.eu/erddap/tabledap/GLIDERS_L2_SG542.subset https://erddap.sochic-h2020.eu/erddap/tabledap/GLIDERS_L2_SG542 https://erddap.sochic-h2020.eu/erddap/tabledap/GLIDERS_L2_SG542.graph https://erddap.sochic-h2020.eu/erddap/files/GLIDERS_L2_SG542/ Collection of reprocessed L2 data from SG542 SOSCEx StormII glider deployment - in situ data - TimeSeries Observation Collection of reprocessed L2 data from SG542 SOSCEx StormII glider deployment - in situ data - TimeSeries Observation\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nTEMP (Temperature of the water column)\nPSAL (Salinity of the water column, psu)\ndensity\nmld_01\nmld_03\nmld_10\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/GLIDERS_L2_SG542_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/GLIDERS_L2_SG542_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/GLIDERS_L2_SG542/index.htmlTable https://socco.org.za/ (external link) https://erddap.sochic-h2020.eu/erddap/rss/GLIDERS_L2_SG542.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=GLIDERS_L2_SG542&showErrors=false&email= Southern Ocean Carbon and Climate Observatory GLIDERS_L2_SG542
https://erddap.sochic-h2020.eu/erddap/tabledap/TS_MO_BIAC.subset https://erddap.sochic-h2020.eu/erddap/tabledap/TS_MO_BIAC https://erddap.sochic-h2020.eu/erddap/tabledap/TS_MO_BIAC.graph Collection of temperature (TEMP), salinity (PSAL) and Current in BIAC Campaign MO - in situ data -TimeSeries Observation BIAC Campaign - Collection Mooring Time Series - Ocean temperature and salinity measurements from moorings at the southern Weddell Sea continental slope, February 2010 - February 2011\n\ncdm_data_type = TimeSeries\nVARIABLES:\nPLATFORMCODE\nID\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nTEMP (Temperature of the water column, degrees_Celsius)\nPSAL (Salinity of the water column, psu)\nCURR_U (Current u component, m/s)\nCURR_V (Current v component, m/s)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/TS_MO_BIAC_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/TS_MO_BIAC_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/TS_MO_BIAC/index.htmlTable https://doi.pangaea.de/10.1594/PANGAEA.871146 (external link) https://erddap.sochic-h2020.eu/erddap/rss/TS_MO_BIAC.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=TS_MO_BIAC&showErrors=false&email= Geophysical Institute, University of Bergen TS_MO_BIAC
https://erddap.sochic-h2020.eu/erddap/tabledap/TS_MO_ROPEX.subset https://erddap.sochic-h2020.eu/erddap/tabledap/TS_MO_ROPEX https://erddap.sochic-h2020.eu/erddap/tabledap/TS_MO_ROPEX.graph Collection of temperature (TEMP), salinity (PSAL) and current in ROPEX Campaign MO - in situ data -TimeSeries Observation ROPEX - Moorings Collection Time Series - Physical oceanography and current meter. Seasonal resonance of diurnal coastal trapped waves in the southern Weddell Sea, Antarctica.\n\ncdm_data_type = TimeSeries\nVARIABLES:\nPLATFORMCODE\nID\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nPRESSURE (Moored instrument depth, dbar)\nTEMP (Temperature of the water column, degrees_Celsius)\nPSAL (Salinity of the water column, psu)\nCURR_SPEED (Horizontal velocity of the water column, m/s)\nCURR_DIR (Current direction, degrees)\nCURR_U (Current u component, m/s)\nCURR_V (Current v component, m/s)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/TS_MO_ROPEX_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/TS_MO_ROPEX_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/TS_MO_ROPEX/index.htmlTable https://doi.pangaea.de/10.1594/PANGAEA.792882 (external link) https://erddap.sochic-h2020.eu/erddap/rss/TS_MO_ROPEX.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=TS_MO_ROPEX&showErrors=false&email= Alfred Wegener Institute for Polar and Marine Research TS_MO_ROPEX
https://erddap.sochic-h2020.eu/erddap/tabledap/TS_MO_ES033.subset https://erddap.sochic-h2020.eu/erddap/tabledap/TS_MO_ES033 https://erddap.sochic-h2020.eu/erddap/tabledap/TS_MO_ES033.graph Collection of temperature (TEMP), salinity (PSAL)and Current in ES033 Campaign MO - in situ data - TimeSeries Observation ES033 Campaign - Collection Mooring Time Series - Moored measurements of temperature and salinity in the southern Weddell Sea, January 2009-January 2010\n\ncdm_data_type = TimeSeries\nVARIABLES:\nPLATFORMCODE\nID\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nTEMP (Temperature of the water column, degrees_Celsius)\nPSAL (Salinity of the water column, psu)\nCURR_U (Current u component, m/s)\nCURR_V (Current v component, m/s)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/TS_MO_ES033_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/TS_MO_ES033_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/TS_MO_ES033/index.htmlTable https://doi.pangaea.de/10.1594/PANGAEA.869799 (external link) https://erddap.sochic-h2020.eu/erddap/rss/TS_MO_ES033.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=TS_MO_ES033&showErrors=false&email= Geophysical Institute, University of Bergen TS_MO_ES033
https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_air https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_air.graph https://erddap.sochic-h2020.eu/erddap/wms/NCEP_DOE_Reanalysis_2_air/request Daily NCEP/DOE Reanalysis 2 (air.2m.gauss.1979) Data is from \nNational Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Atmosphere Model Intercomparison Project (AMIP)-II Reanalysis (Reanalysis-2)\n(4x/day).  Data interpolated from model (sigma) surfaces to gaussian grid.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][level][latitude][longitude]):\nair (Daily Forecast of Air temperature at 2 m, degK)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/NCEP_DOE_Reanalysis_2_air_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/NCEP_DOE_Reanalysis_2_air_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/NCEP_DOE_Reanalysis_2_air/index.htmlTable https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html (external link) https://erddap.sochic-h2020.eu/erddap/rss/NCEP_DOE_Reanalysis_2_air.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=NCEP_DOE_Reanalysis_2_air&showErrors=false&email= National Centers for Environmental Prediction NCEP_DOE_Reanalysis_2_air
https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_cprat https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_cprat.graph https://erddap.sochic-h2020.eu/erddap/wms/NCEP_DOE_Reanalysis_2_cprat/request Daily NCEP/DOE Reanalysis 2 (cprat.sfc.gauss.1979) Data is from \nNational Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Atmosphere Model Intercomparison Project (AMIP)-II Reanalysis (Reanalysis-2)\n(4x/day).  Data interpolated from model (sigma) surfaces to gaussian grid.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\ncprat (Daily Mean of Convective Precipitation Rate at Surface, Kg/m^2/s)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/NCEP_DOE_Reanalysis_2_cprat_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/NCEP_DOE_Reanalysis_2_cprat_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/NCEP_DOE_Reanalysis_2_cprat/index.htmlTable https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html (external link) https://erddap.sochic-h2020.eu/erddap/rss/NCEP_DOE_Reanalysis_2_cprat.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=NCEP_DOE_Reanalysis_2_cprat&showErrors=false&email= National Centers for Environmental Prediction NCEP_DOE_Reanalysis_2_cprat
https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_dlwrf https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_dlwrf.graph https://erddap.sochic-h2020.eu/erddap/wms/NCEP_DOE_Reanalysis_2_dlwrf/request Daily NCEP/DOE Reanalysis 2 (dlwrf.sfc.gauss.1979) Data is from \nNational Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Atmosphere Model Intercomparison Project (AMIP)-II Reanalysis (Reanalysis-2)\n(4x/day).  Data interpolated from model (sigma) surfaces to gaussian grid.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\ndlwrf (Daily Mean of Downward Longwave Radiation Flux at Surface, W/m^2)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/NCEP_DOE_Reanalysis_2_dlwrf_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/NCEP_DOE_Reanalysis_2_dlwrf_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/NCEP_DOE_Reanalysis_2_dlwrf/index.htmlTable https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html (external link) https://erddap.sochic-h2020.eu/erddap/rss/NCEP_DOE_Reanalysis_2_dlwrf.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=NCEP_DOE_Reanalysis_2_dlwrf&showErrors=false&email= National Centers for Environmental Prediction NCEP_DOE_Reanalysis_2_dlwrf
https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_dswrf https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_dswrf.graph https://erddap.sochic-h2020.eu/erddap/wms/NCEP_DOE_Reanalysis_2_dswrf/request Daily NCEP/DOE Reanalysis 2 (dswrf.ntat.gauss.1979) Data is from \nNational Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Atmosphere Model Intercomparison Project (AMIP)-II Reanalysis (Reanalysis-2)\n(4x/day).  Data interpolated from model (sigma) surfaces to gaussian grid.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\ndswrf (Daily Mean of Downward Solar Radiation Flux at the Nominal Top of Atmosphere, W/m^2)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/NCEP_DOE_Reanalysis_2_dswrf_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/NCEP_DOE_Reanalysis_2_dswrf_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/NCEP_DOE_Reanalysis_2_dswrf/index.htmlTable https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html (external link) https://erddap.sochic-h2020.eu/erddap/rss/NCEP_DOE_Reanalysis_2_dswrf.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=NCEP_DOE_Reanalysis_2_dswrf&showErrors=false&email= National Centers for Environmental Prediction NCEP_DOE_Reanalysis_2_dswrf
https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_icec https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_icec.graph https://erddap.sochic-h2020.eu/erddap/wms/NCEP_DOE_Reanalysis_2_icec/request Daily NCEP/DOE Reanalysis 2 (icec.sfc.gauss.1979) Data is from \nNational Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Atmosphere Model Intercomparison Project (AMIP)-II Reanalysis (Reanalysis-2)\n(4x/day).  Data interpolated from model (sigma) surfaces to gaussian grid.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nicec (Daily Forecast of Ice Concentration at Surface)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/NCEP_DOE_Reanalysis_2_icec_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/NCEP_DOE_Reanalysis_2_icec_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/NCEP_DOE_Reanalysis_2_icec/index.htmlTable https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html (external link) https://erddap.sochic-h2020.eu/erddap/rss/NCEP_DOE_Reanalysis_2_icec.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=NCEP_DOE_Reanalysis_2_icec&showErrors=false&email= National Centers for Environmental Prediction NCEP_DOE_Reanalysis_2_icec
https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_lhtfl https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_lhtfl.graph https://erddap.sochic-h2020.eu/erddap/wms/NCEP_DOE_Reanalysis_2_lhtfl/request Daily NCEP/DOE Reanalysis 2 (lhtfl.sfc.gauss.1979) Data is from \nNational Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Atmosphere Model Intercomparison Project (AMIP)-II Reanalysis (Reanalysis-2)\n(4x/day).  Data interpolated from model (sigma) surfaces to gaussian grid.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nlhtfl (Daily Mean of Latent Heat Net Flux at Surface, W/m^2)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/NCEP_DOE_Reanalysis_2_lhtfl_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/NCEP_DOE_Reanalysis_2_lhtfl_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/NCEP_DOE_Reanalysis_2_lhtfl/index.htmlTable https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html (external link) https://erddap.sochic-h2020.eu/erddap/rss/NCEP_DOE_Reanalysis_2_lhtfl.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=NCEP_DOE_Reanalysis_2_lhtfl&showErrors=false&email= National Centers for Environmental Prediction NCEP_DOE_Reanalysis_2_lhtfl
https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_pevpr https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_pevpr.graph https://erddap.sochic-h2020.eu/erddap/wms/NCEP_DOE_Reanalysis_2_pevpr/request Daily NCEP/DOE Reanalysis 2 (pevpr.sfc.gauss.1979) Data is from \nNational Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Atmosphere Model Intercomparison Project (AMIP)-II Reanalysis (Reanalysis-2)\n(4x/day).  Data interpolated from model (sigma) surfaces to gaussian grid.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npevpr (Daily Mean of Potential Evaporation Rate at Surface, W/m^2)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/NCEP_DOE_Reanalysis_2_pevpr_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/NCEP_DOE_Reanalysis_2_pevpr_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/NCEP_DOE_Reanalysis_2_pevpr/index.htmlTable https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html (external link) https://erddap.sochic-h2020.eu/erddap/rss/NCEP_DOE_Reanalysis_2_pevpr.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=NCEP_DOE_Reanalysis_2_pevpr&showErrors=false&email= National Centers for Environmental Prediction NCEP_DOE_Reanalysis_2_pevpr
https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_prate https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_prate.graph https://erddap.sochic-h2020.eu/erddap/wms/NCEP_DOE_Reanalysis_2_prate/request Daily NCEP/DOE Reanalysis 2 (prate.sfc.gauss.1979) Data is from \nNational Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Atmosphere Model Intercomparison Project (AMIP)-II Reanalysis (Reanalysis-2)\n(4x/day).  Data interpolated from model (sigma) surfaces to gaussian grid.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nprate (Daily Mean of Precipitation Rate at Surface, Kg/m^2/s)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/NCEP_DOE_Reanalysis_2_prate_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/NCEP_DOE_Reanalysis_2_prate_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/NCEP_DOE_Reanalysis_2_prate/index.htmlTable https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html (external link) https://erddap.sochic-h2020.eu/erddap/rss/NCEP_DOE_Reanalysis_2_prate.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=NCEP_DOE_Reanalysis_2_prate&showErrors=false&email= National Centers for Environmental Prediction NCEP_DOE_Reanalysis_2_prate
https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_uflx https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_uflx.graph https://erddap.sochic-h2020.eu/erddap/wms/NCEP_DOE_Reanalysis_2_uflx/request Daily NCEP/DOE Reanalysis 2 (uflx.sfc.gauss.1979) Data is from \nNational Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Atmosphere Model Intercomparison Project (AMIP)-II Reanalysis (Reanalysis-2)\n(4x/day).  Data interpolated from model (sigma) surfaces to gaussian grid.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nuflx (Daily Mean of Momentum Flux, u-component at Surface, N/m^2)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/NCEP_DOE_Reanalysis_2_uflx_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/NCEP_DOE_Reanalysis_2_uflx_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/NCEP_DOE_Reanalysis_2_uflx/index.htmlTable https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html (external link) https://erddap.sochic-h2020.eu/erddap/rss/NCEP_DOE_Reanalysis_2_uflx.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=NCEP_DOE_Reanalysis_2_uflx&showErrors=false&email= National Centers for Environmental Prediction NCEP_DOE_Reanalysis_2_uflx
https://erddap.sochic-h2020.eu/erddap/tabledap/Carioca_observations https://erddap.sochic-h2020.eu/erddap/tabledap/Carioca_observations.graph https://erddap.sochic-h2020.eu/erddap/files/Carioca_observations/ Data from a local source. Data from a local source.\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nAtmospheric_Pressure (Air Pressure)\nSSS (Sea Water Practical Salinity, PSU)\nSST (Sea Surface Temperature)\nFugacity_of_CO2_in_seawater (Fugacity Of CO2 In Seawater (µatm))\nWind_speed_at_10_m (Wind Speed)\nFluorescence (Fluorescence (arbitrary Units))\nCalibrated_chlorophyll_a (Concentration Of Chlorophyll In Sea Water)\nUncorrected_oxygen (Uncorrected Oxygen (µmol/kg))\nCorrected_oxygen (Corrected Oxygen (µmol/kg))\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/Carioca_observations_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/Carioca_observations_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/Carioca_observations/index.htmlTable ??? https://erddap.sochic-h2020.eu/erddap/rss/Carioca_observations.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=Carioca_observations&showErrors=false&email= ??? Carioca_observations
https://erddap.sochic-h2020.eu/erddap/griddap/EMODNET_SEA_LEVEL_TREND https://erddap.sochic-h2020.eu/erddap/griddap/EMODNET_SEA_LEVEL_TREND.graph https://erddap.sochic-h2020.eu/erddap/files/EMODNET_SEA_LEVEL_TREND/ EMODnet Physics - Absolute Sea Level Trend EMODnet Physics - Absolute Sea Level Trends - trends are derived from the DUACS delayed-time (DT-2018 version) altimeter gridded maps of sea level anomalies based on a stable number of altimeters (two) in the satellite constellation.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsla (Sea level anomaly, mm/yr)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/EMODNET_SEA_LEVEL_TREND_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/EMODNET_SEA_LEVEL_TREND_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/EMODNET_SEA_LEVEL_TREND/index.htmlTable http://climate.copernicus.eu (external link) https://erddap.sochic-h2020.eu/erddap/rss/EMODNET_SEA_LEVEL_TREND.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=EMODNET_SEA_LEVEL_TREND&showErrors=false&email= CMCC - EMODnet Physics EMODNET_SEA_LEVEL_TREND
https://erddap.sochic-h2020.eu/erddap/griddap/EMODNET_SEA_LEVEL_MONTHLY_MEAN_DESEASONALIZED https://erddap.sochic-h2020.eu/erddap/griddap/EMODNET_SEA_LEVEL_MONTHLY_MEAN_DESEASONALIZED.graph https://erddap.sochic-h2020.eu/erddap/files/EMODNET_SEA_LEVEL_MONTHLY_MEAN_DESEASONALIZED/ EMODnet Physics - Deseasonalized Sea Level monthly means Global Oceans EMODnet Physics - Deseasonalized Sea Level monthly means Global Oceans. This product is based, uses and reprocess the CMEMS product id. SEALEVEL_GLO_PHY_CLIMATE_L4_REP_OBSERVATIONS_008_057.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsla (Sea level anomaly, m)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/EMODNET_SEA_LEVEL_MONTHLY_MEAN_DESEASONALIZED_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/EMODNET_SEA_LEVEL_MONTHLY_MEAN_DESEASONALIZED_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/EMODNET_SEA_LEVEL_MONTHLY_MEAN_DESEASONALIZED/index.htmlTable http://climate.copernicus.eu (external link) https://erddap.sochic-h2020.eu/erddap/rss/EMODNET_SEA_LEVEL_MONTHLY_MEAN_DESEASONALIZED.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=EMODNET_SEA_LEVEL_MONTHLY_MEAN_DESEASONALIZED&showErrors=false&email= CMCC - EMODnet Physics EMODNET_SEA_LEVEL_MONTHLY_MEAN_DESEASONALIZED
https://erddap.sochic-h2020.eu/erddap/griddap/EMODNET_SEA_LEVEL_MONTHLY_MEAN https://erddap.sochic-h2020.eu/erddap/griddap/EMODNET_SEA_LEVEL_MONTHLY_MEAN.graph https://erddap.sochic-h2020.eu/erddap/files/EMODNET_SEA_LEVEL_MONTHLY_MEAN/ EMODnet Physics - Sea Level monthly mean, Global Oceans. This product is based, uses and reprocess the CMEMS product id. SEALEVEL_GLO_PHY_CLIMATE_L4_REP_OBSERVATIONS_008_057 SSALTO/DUACS Delayed-Time Level-4 sea surface height and derived variables measured by multi-satellite altimetry observations over Global Ocean.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsla (Sea level anomaly, m)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/EMODNET_SEA_LEVEL_MONTHLY_MEAN_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/EMODNET_SEA_LEVEL_MONTHLY_MEAN_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/EMODNET_SEA_LEVEL_MONTHLY_MEAN/index.htmlTable http://climate.copernicus.eu (external link) https://erddap.sochic-h2020.eu/erddap/rss/EMODNET_SEA_LEVEL_MONTHLY_MEAN.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=EMODNET_SEA_LEVEL_MONTHLY_MEAN&showErrors=false&email= CMCC - EMODnet Physics EMODNET_SEA_LEVEL_MONTHLY_MEAN
https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_qc_profile_ds_2dbar https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_qc_profile_ds_2dbar.graph https://erddap.sochic-h2020.eu/erddap/files/SOCHIC_qc_profile_ds_2dbar/ Interpolated dataset from 2004 to 2021. Contains MLD from pre-interpolated data. Contains good QC and Wilson et al (2019) QC. ~600,000 CTD hydrographic profiles from 45°S across the circumpolar Southern Ocean from 2004-2021, including Argo, MEOP, SOCCOM, and WOD18 data (ship-based CTD and gliders). Includes data only flagged as good and under ice.\n\ncdm_data_type = Point\nVARIABLES:\nasal (Absolute Salinity, g/kg)\nctemp (Conservative Temperature, degrees_Celcius)\ndsource\nlatitude (degrees_north)\nlongitude (degrees_east)\nmld\nmlp\nn_prof\npres (Pressure)\npsal\nrho (In-situ Density, kg/m^-3)\ntemp (Temperature)\ntime (seconds since 1970-01-01T00:00:00Z)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/SOCHIC_qc_profile_ds_2dbar_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/SOCHIC_qc_profile_ds_2dbar_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/SOCHIC_qc_profile_ds_2dbar/index.htmlTable https://zenodo.org/records/10258138 (external link) https://erddap.sochic-h2020.eu/erddap/rss/SOCHIC_qc_profile_ds_2dbar.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=SOCHIC_qc_profile_ds_2dbar&showErrors=false&email= SO-CHIC SOCHIC_qc_profile_ds_2dbar
https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_gflux https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_gflux.graph https://erddap.sochic-h2020.eu/erddap/wms/NCEP_DOE_Reanalysis_2_gflux/request mean Daily NCEP/DOE Reanalysis 2 (gflux.sfc.gauss.1979) Data is from \nNational Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Atmosphere Model Intercomparison Project (AMIP)-II Reanalysis (Reanalysis-2)\n(4x/day).  Data interpolated from model (sigma) surfaces to gaussian grid.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\ngflux (daily mean 6-Hourly Mean of Ground Heat Flux at Surface, W/m^2)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/NCEP_DOE_Reanalysis_2_gflux_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/NCEP_DOE_Reanalysis_2_gflux_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/NCEP_DOE_Reanalysis_2_gflux/index.htmlTable https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html (external link) https://erddap.sochic-h2020.eu/erddap/rss/NCEP_DOE_Reanalysis_2_gflux.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=NCEP_DOE_Reanalysis_2_gflux&showErrors=false&email= National Centers for Environmental Prediction NCEP_DOE_Reanalysis_2_gflux
https://erddap.sochic-h2020.eu/erddap/griddap/NOAA_OISST_v2 https://erddap.sochic-h2020.eu/erddap/griddap/NOAA_OISST_v2.graph https://erddap.sochic-h2020.eu/erddap/wms/NOAA_OISST_v2/request NOAA - Optimum Interpolation (OI) Sea Surface Temperature (SST) V2 High Resolution Dataset The NOAA 1/4° Daily Optimum Interpolation Sea Surface Temperature (OISST) is a long term Climate Data Record that incorporates observations from different platforms (satellites, ships, buoys and Argo floats) into a regular global grid. The dataset is interpolated to fill gaps on the grid and create a spatially complete map of sea surface temperature. Satellite and ship observations are referenced to buoys to compensate for platform differences and sensor biases. OISST belongs to a family of products that are sometimes referred to as \"Reynolds SST\" for Richard W. Reynolds, a NOAA scientist who worked to improve the accuracy of the SST analyses by optimizing the advantages of in situ (ship and buoy) and satellite data. Older Reynolds SST products have been retired, except for the 1° weekly OISST. The dataset was developed using a methodology that includes bias adjustment of satellite and ship observations (referenced to buoys) to compensate for platform differences and sensor biases. This proved critical during the Mt. Pinatubo eruption in 1991, when the widespread presence of volcanic aerosols resulted in infrared satellite temperatures that were much cooler than actual ocean temperatures (Reynolds 1993).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsst (Monthly Mean of Sea Surface Temperature, degree_C)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/NOAA_OISST_v2_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/NOAA_OISST_v2_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/NOAA_OISST_v2/index.htmlTable https://psl.noaa.gov/thredds/catalog/Datasets/noaa.oisst.v2.highres/catalog.html (external link) https://erddap.sochic-h2020.eu/erddap/rss/NOAA_OISST_v2.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=NOAA_OISST_v2&showErrors=false&email= National Oceanic and Atmospheric Administration (NOAA) NOAA_OISST_v2
https://erddap.sochic-h2020.eu/erddap/tabledap/PSMSL_rlr_annual https://erddap.sochic-h2020.eu/erddap/tabledap/PSMSL_rlr_annual.graph https://erddap.sochic-h2020.eu/erddap/files/PSMSL_rlr_annual/ PSMSL Revised Local Reference (RLR) annual data Permanent Service for Mean Sea Level (PSMSL), 2020, \"Tide Gauge Data\", Retrieved 01 Jun 2020 from http://www.psmsl.org/data/obtaining/\n\ncdm_data_type = Other\nVARIABLES:\nstationid (psmsl station id)\ntime (seconds since 1970-01-01T00:00:00Z)\nSLEV (mean sea level, mm)\nMISSINGDAYSFLAG (missing days flag for the year, 1)\nATTENTIONFLAG (number of missing days of data in the month, 1)\n https://erddap.sochic-h2020.eu/erddap/info/PSMSL_rlr_annual/index.htmlTable https://www.psmsl.org/ (external link) https://erddap.sochic-h2020.eu/erddap/rss/PSMSL_rlr_annual.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=PSMSL_rlr_annual&showErrors=false&email= PSMSL PSMSL_rlr_annual
https://erddap.sochic-h2020.eu/erddap/tabledap/PSMSL_rlr_monthly https://erddap.sochic-h2020.eu/erddap/tabledap/PSMSL_rlr_monthly.graph https://erddap.sochic-h2020.eu/erddap/files/PSMSL_rlr_monthly/ PSMSL Revised Local Reference (RLR) monthly data Permanent Service for Mean Sea Level (PSMSL), 2020, \"Tide Gauge Data\", Retrieved 01 Jun 2020 from http://www.psmsl.org/data/obtaining/\n\ncdm_data_type = Other\nVARIABLES:\nstationid (psmsl station id)\ntime (seconds since 1970-01-01T00:00:00Z)\nSLEV (mean sea level, mm)\nMISSINGDAYS (number of missing days of data in the month, 1)\nATTENTIONFLAG (number of missing days of data in the month, 1)\n https://erddap.sochic-h2020.eu/erddap/info/PSMSL_rlr_monthly/index.htmlTable https://www.psmsl.org/ (external link) https://erddap.sochic-h2020.eu/erddap/rss/PSMSL_rlr_monthly.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=PSMSL_rlr_monthly&showErrors=false&email= PSMSL PSMSL_rlr_monthly
https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_SO_Saildrone_ASVCO2_preliminary https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_SO_Saildrone_ASVCO2_preliminary.graph https://erddap.sochic-h2020.eu/erddap/files/SOCHIC_SO_Saildrone_ASVCO2_preliminary/ SAILDRONE_ASVCO2_preliminary Saildrone ASVCO2 preliminary data\n\ncdm_data_type = Other\nVARIABLES:\nDate\ntime2 (Time)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSST (Sea Surface Temperature)\nSSS (Sea Water Practical Salinity, PSU)\npCO2_SW (carbon dioxide in surface seawater, uatm)\ntime (seconds since 1970-01-01T00:00:00Z)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/SOCHIC_SO_Saildrone_ASVCO2_preliminary_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/SOCHIC_SO_Saildrone_ASVCO2_preliminary_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/SOCHIC_SO_Saildrone_ASVCO2_preliminary/index.htmlTable http://roammiz.com/ (external link) https://erddap.sochic-h2020.eu/erddap/rss/SOCHIC_SO_Saildrone_ASVCO2_preliminary.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=SOCHIC_SO_Saildrone_ASVCO2_preliminary&showErrors=false&email= University of Gothenburg SOCHIC_SO_Saildrone_ASVCO2_preliminary
https://erddap.sochic-h2020.eu/erddap/tabledap/SO-CHIC_Agulhas_II_met https://erddap.sochic-h2020.eu/erddap/tabledap/SO-CHIC_Agulhas_II_met.graph https://erddap.sochic-h2020.eu/erddap/files/SO-CHIC_Agulhas_II_met/ SO-CHIC - Continuous meteorological surface measurement conducted during Cruise 2022 - AgulhasII Continuous meteorological surface measurement conducted during the SO-CHIC (Southern Ocean Carbon and Heat Impact on Climate) cruise (December 2021/January 2022, S.A. AgulhasII). The cruise report is available at https://zenodo.org/record/6948850 for details.\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nAir_temp (Air Temperature, degrees Celsius)\nDewPoint (Dew Point, degrees Celsius)\nTEMP (Surface Sea Water Temperature, degrees Celsius)\nHumidity (Air Humidity, %)\nWSPD (Horizontal Wind Speed, m/s)\nGSPD (Gust Wind Speed, m/s)\nWDIR (Wind From Direction, degrees)\nATMS (Air Pressure at Sea Level, Millibars)\nPSAL (Sea Water Practical Salinity, PSU)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/SO-CHIC_Agulhas_II_met_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/SO-CHIC_Agulhas_II_met_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/SO-CHIC_Agulhas_II_met/index.htmlTable https://zenodo.org/record/6948850 (external link) https://erddap.sochic-h2020.eu/erddap/rss/SO-CHIC_Agulhas_II_met.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=SO-CHIC_Agulhas_II_met&showErrors=false&email= SO-CHIC SO-CHIC_Agulhas_II_met
https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_GL_632.subset https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_GL_632 https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_GL_632.graph https://erddap.sochic-h2020.eu/erddap/files/SOCHIC_GL_632/ SO-CHIC - SANAE62_Glider_632 This dataset contains the GLIDER casts conducted during the SANAE62 Glider operations\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nDEPTH (m)\nlatitude (degrees_north)\nWC_Cond (Electrical conductivity of the water column, S/m)\nPSAL (Salinity of the water column, PSU)\nTEMP (Temperature of the water column, degree_C)\nlongitude (degrees_east)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/SOCHIC_GL_632_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/SOCHIC_GL_632_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/SOCHIC_GL_632/index.htmlTable www.sochic-h2020.eu https://erddap.sochic-h2020.eu/erddap/rss/SOCHIC_GL_632.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=SOCHIC_GL_632&showErrors=false&email= British Antarctic Survey SOCHIC_GL_632
https://erddap.sochic-h2020.eu/erddap/tabledap/SO-CHIC_RV_Algoa_ALG278_BENFLEX_experiment https://erddap.sochic-h2020.eu/erddap/tabledap/SO-CHIC_RV_Algoa_ALG278_BENFLEX_experiment.graph https://erddap.sochic-h2020.eu/erddap/files/SO-CHIC_RV_Algoa_ALG278_BENFLEX_experiment/ SO-CHIC RV Algoa ALG278 BENFLEX experiment Data from a local source.\n\ncdm_data_type = Point\nVARIABLES:\nStation_x\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDepth_m (Depth, m)\nNiskin (Niskin #)\nDO_ml_L (DO (ml/L))\nBottle (Bottle #)\nCTD_DO_ml_L (CTD DO (ml/L))\nStation_y\nGrid\nSounding (Sounding (db))\nDeployment_Depth (Deployment Depth (db))\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/SO-CHIC_RV_Algoa_ALG278_BENFLEX_experiment_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/SO-CHIC_RV_Algoa_ALG278_BENFLEX_experiment_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/SO-CHIC_RV_Algoa_ALG278_BENFLEX_experiment/index.htmlTable ??? https://erddap.sochic-h2020.eu/erddap/rss/SO-CHIC_RV_Algoa_ALG278_BENFLEX_experiment.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=SO-CHIC_RV_Algoa_ALG278_BENFLEX_experiment&showErrors=false&email= ??? SO-CHIC_RV_Algoa_ALG278_BENFLEX_experiment
https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_UGOT_gliders_metadata.subset https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_UGOT_gliders_metadata https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_UGOT_gliders_metadata.graph https://erddap.sochic-h2020.eu/erddap/files/SOCHIC_UGOT_gliders_metadata/ SO-CHIC_GLIDERS_missions_University_of_Gothenburg_metadata GLIDERS. Data from a local source.\n\ncdm_data_type = Other\nVARIABLES:\nmission\ndive\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/SOCHIC_UGOT_gliders_metadata_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/SOCHIC_UGOT_gliders_metadata_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/SOCHIC_UGOT_gliders_metadata/index.htmlTable http://roammiz.com/ (external link) https://erddap.sochic-h2020.eu/erddap/rss/SOCHIC_UGOT_gliders_metadata.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=SOCHIC_UGOT_gliders_metadata&showErrors=false&email= University of Gothenburg SOCHIC_UGOT_gliders_metadata
https://erddap.sochic-h2020.eu/erddap/griddap/SOCHIC_Generalisation_icec_sfc_mon_mean https://erddap.sochic-h2020.eu/erddap/griddap/SOCHIC_Generalisation_icec_sfc_mon_mean.graph https://erddap.sochic-h2020.eu/erddap/wms/SOCHIC_Generalisation_icec_sfc_mon_mean/request SOCHIC-Generalisation/icec_sfc_mon_mean Data is from National Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Atmosphere Model Intercomparison Project (AMIP)-II Reanalysis (Reanalysis-2) (4x/day).  Data interpolated from model (sigma) surfaces to gaussian grid.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nicec (Monthly Mean of Forecast of Ice Concentration at Surface)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/SOCHIC_Generalisation_icec_sfc_mon_mean_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/SOCHIC_Generalisation_icec_sfc_mon_mean_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/SOCHIC_Generalisation_icec_sfc_mon_mean/index.htmlTable https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html (external link) https://erddap.sochic-h2020.eu/erddap/rss/SOCHIC_Generalisation_icec_sfc_mon_mean.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=SOCHIC_Generalisation_icec_sfc_mon_mean&showErrors=false&email= National Centers for Environmental Prediction SOCHIC_Generalisation_icec_sfc_mon_mean
https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_SOSCEx_STORM2_Glider_Data_par_modis_collocated_glider https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_SOSCEx_STORM2_Glider_Data_par_modis_collocated_glider.graph https://erddap.sochic-h2020.eu/erddap/files/SOCHIC_SOSCEx_STORM2_Glider_Data_par_modis_collocated_glider/ SOCHIC-SOSCEx_STORM2_Glider_Data/par_modis_collocated_glider SOCHIC-SOSCEx_STORM2_Glider_Data/par_modis_collocated_glider\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nPAR (Downwelling Photosynthetic Photon Radiance In Sea Water)\n https://erddap.sochic-h2020.eu/erddap/info/SOCHIC_SOSCEx_STORM2_Glider_Data_par_modis_collocated_glider/index.htmlTable https://doi.org/10.1029/2021JC017760 (external link) https://erddap.sochic-h2020.eu/erddap/rss/SOCHIC_SOSCEx_STORM2_Glider_Data_par_modis_collocated_glider.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=SOCHIC_SOSCEx_STORM2_Glider_Data_par_modis_collocated_glider&showErrors=false&email= University of Gothenburg SOCHIC_SOSCEx_STORM2_Glider_Data_par_modis_collocated_glider
https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_SOSCEx_STORM2_Glider_Data_pCO2grad_Broullon_WG.subset https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_SOSCEx_STORM2_Glider_Data_pCO2grad_Broullon_WG https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_SOSCEx_STORM2_Glider_Data_pCO2grad_Broullon_WG.graph https://erddap.sochic-h2020.eu/erddap/files/SOCHIC_SOSCEx_STORM2_Glider_Data_pCO2grad_Broullon_WG/ SOCHIC-SOSCEx_STORM2_Glider_Data/pCO2grad_Broullon_WG SOCHIC-SOSCEx_STORM2_Glider_Data/pCO2grad_Broullon_WG\n\ncdm_data_type = Point\nVARIABLES:\nlatitude (degrees_north)\na_xarray_dataarray_variable (Xarray Dataarray Variable)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/SOCHIC_SOSCEx_STORM2_Glider_Data_pCO2grad_Broullon_WG_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/SOCHIC_SOSCEx_STORM2_Glider_Data_pCO2grad_Broullon_WG_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/SOCHIC_SOSCEx_STORM2_Glider_Data_pCO2grad_Broullon_WG/index.htmlTable https://doi.org/10.1029/2021JC017760 (external link) https://erddap.sochic-h2020.eu/erddap/rss/SOCHIC_SOSCEx_STORM2_Glider_Data_pCO2grad_Broullon_WG.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=SOCHIC_SOSCEx_STORM2_Glider_Data_pCO2grad_Broullon_WG&showErrors=false&email= University of Gothenburg SOCHIC_SOSCEx_STORM2_Glider_Data_pCO2grad_Broullon_WG
https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_SOSCEx_STORM2_Glider_Data_PP_satelitte_slocum.subset https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_SOSCEx_STORM2_Glider_Data_PP_satelitte_slocum https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_SOSCEx_STORM2_Glider_Data_PP_satelitte_slocum.graph https://erddap.sochic-h2020.eu/erddap/files/SOCHIC_SOSCEx_STORM2_Glider_Data_PP_satelitte_slocum/ SOCHIC-SOSCEx_STORM2_Glider_Data/PP_satelitte_slocum SOCHIC-SOSCEx_STORM2_Glider_Data/PP_satelitte_slocum\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nplatt (Primary Production Using Platt Model, mg C m^-2 d^-1)\ncbpm (Primary Production Using Cbpm Model, mg C m^-2 d^-1)\neppley (Primary Production Using Eppley Model, mg C m^-2 d^-1)\nvgpm (Primary Production Using Vgpm Model, mg C m^-2 d^-1)\nmean_pp (Primary Production Average Of All Models, mg C m^-2 d^-1)\npp_newmean\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/SOCHIC_SOSCEx_STORM2_Glider_Data_PP_satelitte_slocum_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/SOCHIC_SOSCEx_STORM2_Glider_Data_PP_satelitte_slocum_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/SOCHIC_SOSCEx_STORM2_Glider_Data_PP_satelitte_slocum/index.htmlTable https://doi.org/10.1029/2021JC017760 (external link) https://erddap.sochic-h2020.eu/erddap/rss/SOCHIC_SOSCEx_STORM2_Glider_Data_PP_satelitte_slocum.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=SOCHIC_SOSCEx_STORM2_Glider_Data_PP_satelitte_slocum&showErrors=false&email= University of Gothenburg SOCHIC_SOSCEx_STORM2_Glider_Data_PP_satelitte_slocum
https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_SOSCEx_STORM2_Glider_Data_slocum_data https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_SOSCEx_STORM2_Glider_Data_slocum_data.graph https://erddap.sochic-h2020.eu/erddap/files/SOCHIC_SOSCEx_STORM2_Glider_Data_slocum_data/ SOCHIC-SOSCEx_STORM2_Glider_Data/slocum_data SOCHIC-SOSCEx_STORM2_Glider_Data/slocum_data\n\ncdm_data_type = Other\nVARIABLES:\nindex\ntime (seconds since 1970-01-01T00:00:00Z)\ndepth (m)\ndate_av (seconds since 1970-01-01T00:00:00Z)\nPotential_Density\nAbsolute_Salinity (Sea Water Practical Salinity, PSU)\ndives\n https://erddap.sochic-h2020.eu/erddap/info/SOCHIC_SOSCEx_STORM2_Glider_Data_slocum_data/index.htmlTable https://doi.org/10.1029/2021JC017760 (external link) https://erddap.sochic-h2020.eu/erddap/rss/SOCHIC_SOSCEx_STORM2_Glider_Data_slocum_data.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=SOCHIC_SOSCEx_STORM2_Glider_Data_slocum_data&showErrors=false&email= University of Gothenburg SOCHIC_SOSCEx_STORM2_Glider_Data_slocum_data
https://erddap.sochic-h2020.eu/erddap/tabledap/BONGO_NETS https://erddap.sochic-h2020.eu/erddap/tabledap/BONGO_NETS.graph https://erddap.sochic-h2020.eu/erddap/files/BONGO_NETS/ SOOS - Epipelagic mesozooplankton distribution and abundance in Southern Ocean Mesozooplankton were collected with a motion-compensated Bongo net (61 cm mouth diameter, 100 and 200 micrometre meshes) and a mini- Bongo net (18 cm mouth diameter, 50 micrometre mesh nets). Both nets fished to a maximum depth of 400 m but sometimes shallower. Specimens were categorised to the lowest possible taxonomic level, which in some cases encompassed developmental stages but in other cases was limited to higher order taxa. Each taxa was enumerated to determine abundance in units of individuals m-2. The dataset allows examination of the distribution and abundance of these species within the Atlantic sector of the Southern Ocean over a number of years and covering much of the productive season from spring to autumn. The data for the North Atlantic and Arctic covers one season only (summer) and is limited to providing a spatial perspective on the distribution and abundance of mesozooplankton.\n\ncdm_data_type = Point\nVARIABLES:\nNet\nMaxdepth\nCruise_name (Cruise Name (click For Details))\nEvent_name\nstart_of_event\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nEnd_of_event\nTaxon_name\nTaxon_class\nAbundance (Abundance (m-2))\nScientist\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/BONGO_NETS_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/BONGO_NETS_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/BONGO_NETS/index.htmlTable https://data.bas.ac.uk/metadata.php?id=GB/NERC/BAS/PDC/01316 (external link) https://erddap.sochic-h2020.eu/erddap/rss/BONGO_NETS.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=BONGO_NETS&showErrors=false&email= British Antarctic Survey BONGO_NETS
https://erddap.sochic-h2020.eu/erddap/tabledap/ICE-LAPSE.subset https://erddap.sochic-h2020.eu/erddap/tabledap/ICE-LAPSE https://erddap.sochic-h2020.eu/erddap/tabledap/ICE-LAPSE.graph https://erddap.sochic-h2020.eu/erddap/files/ICE-LAPSE/ SOOS - ICE-LAPSE: Analysis of Antarctic benthos Long-term dataset consisting of 755 images, with fixed field of view, of Antarctic coastal benthic fauna acquired by using a non-invasive, autonomous imaging device. Antarctica is a remote place, the continent is covered by ice and its surrounding coastal areas are frozen for the majority of the year. Due to its peculiarity the observation of the underwater organisms is particularly difficult, complicated by logistic factors. We present a long-term dataset consisting of 755 images acquired by using a non-invasive, autonomous imaging device and encompassing both the Antarctic daylight and dark periods, including the corresponding transition phases. All images have the same field of view showing the benthic fauna and part of the water column above, including fishes present in the monitored period. All the images are manually annotated after a visual inspection performed by expert biologists. The extended monitoring period and the annotated images make the dataset a valuable benchmark suitable for studying the dynamics of the long-term Antarctic underwater fauna as well as for developing and testing algorithms for automated image analysis focused on the recognition and classification of the Antarctic organisms and the automated analysis of their long-term dynamics.\n\ncdm_data_type = Point\nVARIABLES:\ntitle\ntime (seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nlatitude (degrees_north)\nlongitude (degrees_east)\nurl\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/ICE-LAPSE_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/ICE-LAPSE_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/ICE-LAPSE/index.htmlTable https://doi.org/10.1038/s41597-022-01865-7 (external link) https://erddap.sochic-h2020.eu/erddap/rss/ICE-LAPSE.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=ICE-LAPSE&showErrors=false&email= CNR-ISMAR ICE-LAPSE
https://erddap.sochic-h2020.eu/erddap/tabledap/NECKLACE https://erddap.sochic-h2020.eu/erddap/tabledap/NECKLACE.graph https://erddap.sochic-h2020.eu/erddap/files/NECKLACE/ SOOS - Necklace This layer provides time series of basal melt rates from Antarctic ice shelves from the Network for the Collection of Knowledge on meLt of Antarctic iCe shElves (NECKLACE) programme.\n\ncdm_data_type = Other\nVARIABLES:\nSite_name\nlatitude (degrees_north)\nlongitude (degrees_east)\nRetrieval_Latitude (R_Latitude, degrees_north)\nRetrieval_Longitude (R_Longitude, degrees_east)\nProgram\nNation\nStatus\nDeployment_Date\nRetrieval_Date\ntime (seconds since 1970-01-01T00:00:00Z)\nEmail_Address\nLink_to_raw_data\nLink_to_processed_data\nSensor_Serial_Number\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/NECKLACE_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/NECKLACE_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/NECKLACE/index.htmlTable https://soos.aq/endorsed-projects/necklace (external link) https://erddap.sochic-h2020.eu/erddap/rss/NECKLACE.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=NECKLACE&showErrors=false&email= SOOS NECKLACE
https://erddap.sochic-h2020.eu/erddap/tabledap/NOAA_DOM.subset https://erddap.sochic-h2020.eu/erddap/tabledap/NOAA_DOM https://erddap.sochic-h2020.eu/erddap/tabledap/NOAA_DOM.graph https://erddap.sochic-h2020.eu/erddap/files/NOAA_DOM/ SOOS-Compilation of dissolved organic matter (DOM) data obtained from global ocean observations from 1994 to 2021. Version 2 This dataset consists of measurements of dissolved organic matter (DOM) and other chemical and hydrographic parameters obtained during the global ocean observations from 1994-01-01 to 2021-05-29. Measurements of dissolved organic matter (DOM) in the open ocean have increased greatly since the late 1980's, spurred by the growth in scientific interest directed at the ocean carbon cycle. Analytical quality for determing the elemental concentrations of DOM was commonly low in those early years, but through great effort and use of consensus reference materials its quality has improved with time. The data in this compilation should be used with the trajectory of improved analytical quality with time in mind. DOM data generated by many laboratories around the world are typically made available in diverse, regional data archives, making them less available than necessary for the data value to be maximized. The effort here was to make ship-collected bottle data accessible more directly and in uniform format. The emphasis was on spatial coverage of the global ocean, so the well-known and ongoing time-series data (such as the Bermuda Atlantic Time-series Study and Hawaiian Ocean Time-series) are not included; nor are coastal waters well represented in this first version. While the focus of this compilation is largely on dissolved organic carbon (Department of Commerce (DOC)) and total dissolved nitrogen (TDN), we extended coverage to include the less frequently determined DOM isotopes (13C, 14C, 15N), select wavelengths and a single spectral slope of colored dissolved organic matter (CDOM), and DOM composition (i.e., dissolved combined neutral sugars). To the extent possible, the DOM data have been complemented with hydrographic data (e.g, temperature and salinity), other biogeochemical variables (e.g., oxygen, nutrients), the inorganic carbon system [e.g., dissolved organic carbon (with isotopes when available), pH, and total alkalinity], and anthropogenic (chlorofluorocarbons, sulfur hexafluoride, carbon tetrachloride) and natural tracers (neon, helium, tritium). A very few data are included for biological variables such as bacterial abundance and chlorophyll a concentrations. These data are from all ocean basins taken from 224 cruises in the global ocean, providing DOC concentrations largely from the full water column and TDN concentrations in the surface 250 m. Data are available at https://www.ncei.noaa.gov/data/oceans/ncei/ocads/metadata/0227166.html. Errors in the compilation should be reported to the authors.\n\ncdm_data_type = Other\nVARIABLES:\nEXPOCODE\n... (114 more variables)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/NOAA_DOM_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/NOAA_DOM_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/NOAA_DOM/index.htmlTable https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.nodc:0227166 (external link) https://erddap.sochic-h2020.eu/erddap/rss/NOAA_DOM.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=NOAA_DOM&showErrors=false&email= NOAA National Centers for Environmental Information NOAA_DOM
https://erddap.sochic-h2020.eu/erddap/tabledap/SOOS_ADH_NOAA_WS https://erddap.sochic-h2020.eu/erddap/tabledap/SOOS_ADH_NOAA_WS.graph https://erddap.sochic-h2020.eu/erddap/files/SOOS_ADH_NOAA_WS/ Subset of Antarctic Global Historical Climatology Network - Daily (GHCN-Daily) - Temperature and Precipitation The Global Historical Climatology Network - Daily (GHCN-Daily) dataset integrates daily climate observations from approximately 30 different data sources. Version 3 was released in September 2012 with the addition of data from two additional station networks. Changes to the processing system associated with the version 3 release also allowed for updates to occur 7 days a week rather than only on most weekdays. Version 3 contains station-based measurements from well over 90,000 land-based stations worldwide, about two thirds of which are for precipitation measurement only. Other meteorological elements include, but are not limited to, daily maximum and minimum temperature, temperature at the time of observation, snowfall and snow depth. Over 25,000 stations are regularly updated with observations from within roughly the last month. The dataset is also routinely reconstructed (usually every week) from its roughly 30 data sources to ensure that GHCN-Daily is generally in sync with its growing list of constituent sources. During this process, quality assurance checks are applied to the full dataset. Where possible, GHCN-Daily station data are also updated daily from a variety of data streams. Station values for each daily update also undergo a suite of quality checks.\n\ncdm_data_type = Other\nVARIABLES:\nPLATFORM_NAME\nWMO (WMO Code)\nlatitude (degrees_north)\nlongitude (degrees_east)\nelevation (m)\ntime (seconds since 1970-01-01T00:00:00Z)\nPRCP (Precipitation, mm)\nTAVG (Temperature, degrees_Celsius)\nSNOW (Snow fall, mm)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/SOOS_ADH_NOAA_WS_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/SOOS_ADH_NOAA_WS_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/SOOS_ADH_NOAA_WS/index.htmlTable https://www.ncei.noaa.gov/metadata/geoportal/rest/metadata/item/gov.noaa.ncdc:C00861/html (external link) https://erddap.sochic-h2020.eu/erddap/rss/SOOS_ADH_NOAA_WS.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=SOOS_ADH_NOAA_WS&showErrors=false&email= NOAA SOOS_ADH_NOAA_WS
https://erddap.sochic-h2020.eu/erddap/tabledap/SURVOSTRAL https://erddap.sochic-h2020.eu/erddap/tabledap/SURVOSTRAL.graph Upper Ocean Thermal Data collected on the high density line IX28 (Dumont d Urville-Hobart) using XBT (expendable bathythermographs) DEPTH_CH14 and TEMP_CH14 contain depth and temperature corrected values following Cheng et al, 2014 corrections, using tables updated on June 28, 2017. Temperature data from the Tropical Ocean Global Atmosphere (TOGA)/World Ocean Circulation Experiment (WOCE) transect IX28 across the SOuthern Ocean has been collected since 1992 and are ongoing. The transect is repeated approximately 6 times a year, with profiles obtained approximately every 10-50 Km. The data are obtained from XBTs (expendable bathythermographs) deployed by the French Antarctic resupply vessel Astrolabe, and are managed by the French Polar Institute (IPEV) and the Joint Australian Facility for Ocean Observing Systems (JAFOOS), a collaborative venture between Commonwealth Scientific and Industrial Research Organisation (CSIRO) Marine Research and the Bureau of Meteorology Research Centre (BMRC).\n\ncdm_data_type = Profile\nVARIABLES:\nprofileid\ndepth (m)\nDEPTH_quality_control (quality flags for depth)\ntime (seconds since 1970-01-01T00:00:00Z)\nTIME_quality_control (quality flags for time)\nlatitude (degrees_north)\nLATITUDE_quality_control (quality flags for latitude, degrees_north)\nlongitude (degrees_east)\nLONGITUDE_quality_control (quality flags for longitude, degrees_east)\nTEMP (Sea Water Temperature, degree_C)\nTEMP_quality_control (quality flag for sea_water_temperature)\nDEPTH_CH14 (depth_corrected_with_CH14_scheme, m)\nDEPTH_CH14_quality_control (quality flag for DEPTH_CH14)\nTEMP_CH14 (temp_corrected_with_CH14_scheme, degree_C)\nTEMP_CH14_quality_control (quality flag for TEMP_CH14)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/SURVOSTRAL_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/SURVOSTRAL_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/SURVOSTRAL/index.htmlTable https://www.nature.com/articles/s41467-020-20781-1#Abs1 (external link) https://erddap.sochic-h2020.eu/erddap/rss/SURVOSTRAL.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=SURVOSTRAL&showErrors=false&email= SOOP XBT SURVOSTRAL
https://erddap.sochic-h2020.eu/erddap/tabledap/USAP-DC_Datasets_repository_points.subset https://erddap.sochic-h2020.eu/erddap/tabledap/USAP-DC_Datasets_repository_points https://erddap.sochic-h2020.eu/erddap/tabledap/USAP-DC_Datasets_repository_points.graph https://erddap.sochic-h2020.eu/erddap/files/USAP-DC_Datasets_repository_points/ USAP-DC Datasets repository The U.S. Antarctic Program Data Center (USAP-DC) supports investigators funded by the National Science Foundation in documenting, preserving, and disseminating their research results. We provide a central USAP Project Catalog for all projects funded by the NSF Antarctic program and a Data Repository for research datasets derived from these projects. Data managed include the NSF research related glaciology data collection formerly managed through NSIDC. We register datasets in the Antarctic Metadata Directory (AMD) to comply with the Antarctic Treaty and represent the U.S. in Scientific Committee on Antarctic Research (SCAR) activities.\n\ncdm_data_type = Other\nVARIABLES:\ndataset_uid\ndoi\nlanding_page\ntitle\nabstract\nlocations\npersons\nawards\nlatitude (degrees_north)\nlongitude (degrees_east)\nscience_programs\nnsf_funding_programs\ntime (seconds since 1970-01-01T00:00:00Z)\ntimestamp (seconds since 1970-01-01T00:00:00Z)\nauthor\ncommand\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/USAP-DC_Datasets_repository_points_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/USAP-DC_Datasets_repository_points_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/USAP-DC_Datasets_repository_points/index.htmlTable https://www.usap-dc.org/ (external link) https://erddap.sochic-h2020.eu/erddap/rss/USAP-DC_Datasets_repository_points.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=USAP-DC_Datasets_repository_points&showErrors=false&email= U.S. ANTARCTIC PROGRAM DATA CENTER USAP-DC_Datasets_repository_points

 
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