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https://erddap.sochic-h2020.eu/erddap/tabledap/ARGO_FLOATS_SOCHIC.subset https://erddap.sochic-h2020.eu/erddap/tabledap/ARGO_FLOATS_SOCHIC https://erddap.sochic-h2020.eu/erddap/tabledap/ARGO_FLOATS_SOCHIC.graph https://erddap.sochic-h2020.eu/erddap/files/ARGO_FLOATS_SOCHIC/ Collection of SO-CHIC Argo Float Measurements - ARGO - In situ - MultiPointProfileObservation SO-CHIC Argo float vertical profiles from Coriolis Global Data Assembly Centres (GDAC).Data Management URL: http://www.argodatamgt.org/Documentation\n\ncdm_data_type = TimeSeries\nVARIABLES:\nPLATFORMCODE (File Number)\ndata_type\nformat_version (File format version)\nhandbook_version (Data handbook version)\nreference_date_time (Date of reference for Julian days, seconds since 1970-01-01T00:00:00Z)\ndate_creation (Date of file creation, seconds since 1970-01-01T00:00:00Z)\ndate_update (Date of update of this file, seconds since 1970-01-01T00:00:00Z)\nWMO (Float unique identifier)\nproject_name (Name of the project)\npi_name (Name of the principal investigator)\ncycle_number (Float cycle number)\ndirection (Direction of the station profiles)\ndata_center (Data centre in charge of float data processing)\ndc_reference (Station unique identifier in data centre)\ndata_state_indicator (Degree of processing the data have passed through)\ndata_mode (Delayed mode or real time data)\nplatform_type\nfloat_serial_no (Serial number of the float)\nfirmware_version (Instrument firmware version)\nwmo_inst_type (Coded instrument type)\ntime (Julian day (UTC) of the station relative to REFERENCE_DATE_TIME, seconds since 1970-01-01T00:00:00Z)\ntime_qc (Quality on date and time)\ntime_location (Julian day (UTC) of the location relative to REFERENCE_DATE_TIME, seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude of the station, best estimate, degrees_north)\nlongitude (Longitude of the station, best estimate, degrees_east)\nposition_qc (Quality on position (latitude and longitude))\n... (33 more variables)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/ARGO_FLOATS_SOCHIC_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/ARGO_FLOATS_SOCHIC_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/ARGO_FLOATS_SOCHIC/index.htmlTable https://argo.ucsd.edu/ (external link) https://erddap.sochic-h2020.eu/erddap/rss/ARGO_FLOATS_SOCHIC.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=ARGO_FLOATS_SOCHIC&showErrors=false&email= SO-CHIC ARGO_FLOATS_SOCHIC
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 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/griddap/GLODAPv2_2016b_MappedClimatologies https://erddap.sochic-h2020.eu/erddap/griddap/GLODAPv2_2016b_MappedClimatologies.graph https://erddap.sochic-h2020.eu/erddap/files/GLODAPv2_2016b_MappedClimatologies/ Global Ocean Data Analysis Project for Carbon (GLODAP) - Mapped Climatologies v2 2016b 1 X 1 global mapped field of anthropogenic carbon content from the GLODAPv2 data product. Mapping is performed using the DIVA software (Troupin et al., 2012). Error fields are calculated using the clever poor mans error calculation method in DIVA (Beckers et al., 2014). The error fields represent the mapping error only, and does not include measurement or calculation uncertainties in the input data.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [depth][latitude][longitude]):\nCant (moles of anthropogenic carbon content per unit mass in seawater, micro-mol kg-1)\nCant_error (anthropogenic carbon content error, micro-mol kg-1)\nCant_Input_mean (bin averaged input data, micro-mol kg-1)\nCant_Input_std (standard deviation of bin averaged input data, micro-mol kg-1)\nCant_Input_N (number of data in bins)\nCant_relerr (relative error)\nNO3 (moles of nitrate per unit mass in seawater, micro-mol kg-1)\nNO3_error (nitrate error, micro-mol kg-1)\nNO3_Input_mean (bin averaged input data, micro-mol kg-1)\nNO3_Input_std (standard deviation of bin averaged input data, micro-mol kg-1)\nNO3_Input_N (number of data in bins)\nNO3_relerr (relative error)\nOmegaA (aragonite saturation state calculated at in situ temperature and pressure)\nOmegaA_error (OmegaAr error)\nOmegaA_Input_mean (bin averaged input data, micro-mol kg-1)\nOmegaA_Input_std (standard deviation of bin averaged input data, micro-mol kg-1)\nOmegaA_Input_N (number of data in bins)\nOmegaA_relerr (relative error)\nOmegaC (calcite saturation state calculated at in situ temperature and pressure)\nOmegaC_error (OmegaCa error)\nOmegaC_Input_mean (bin averaged input data, micro-mol kg-1)\nOmegaC_Input_std (standard deviation of bin averaged input data, micro-mol kg-1)\nOmegaC_Input_N (number of data in bins)\n... (61 more variables)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/GLODAPv2_2016b_MappedClimatologies_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/GLODAPv2_2016b_MappedClimatologies_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/GLODAPv2_2016b_MappedClimatologies/index.htmlTable https://www.glodap.info/index.php/mapped-data-product/ (external link) https://erddap.sochic-h2020.eu/erddap/rss/GLODAPv2_2016b_MappedClimatologies.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=GLODAPv2_2016b_MappedClimatologies&showErrors=false&email= Global Ocean Data Analysis Project (GLODAP) GLODAPv2_2016b_MappedClimatologies
https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_2022_SG640.subset https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_2022_SG640 https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_2022_SG640.graph https://erddap.sochic-h2020.eu/erddap/files/SOCHIC_2022_SG640/ Physical, chemical, and biological data collected from Seaglider SG640 during SG640 SO-CHIC Maud Rise Deployment 2022 deployed on 2022-01-10 This dataset contains the temperature, salinity, dissolved oxygen, fluorescence, and backscatter profiles from a Seaglider (SG640), which was deployed at the Maud Rise seamount in the eastern part of the Weddell Sea from the 10th of January 2022, to the 7th of April 2022.\n\ncdm_data_type = Other\nVARIABLES:\ndepth (m)\ntime (date in seconds for every sample point, interpolated, seconds since 1970-01-01T00:00:00Z)\nS (corrected salinity, with outliers removed, interpolated over gaps < 50.0m, PSU)\nT (corrected in-situ temperature, with outliers removed, interpolated over gaps < 50.0m, degree_C)\nspeed (forward speed of the glider through the water from the flight model, meters/second)\ndissolved_oxygen (Dissolved oxygen recalculated from phase with salinity and pressure corrections interpolated over gaps < 50.0m [micromoles/kg], PSU)\nwlbb2fl_sig470nm_adjusted (total volume blue scattering coefficient using manufacturer-supplied dark counts and scaling factor interpolated over gaps < 50.0m, meter^-1 steradian^-1)\nwlbb2fl_sig700nm_adjusted (total volume red scattering coefficient using manufacturer-supplied dark counts and scaling factor interpolated over gaps < 50.0m, meter^-1 steradian^-1)\nwlbb2fl_sig695nm_adjusted (chlorophyll-a concentration using manufacturer-supplied dark counts and scaling factor based on phytoplankton monoculture interpolated over gaps < 50.0m, micrograms/liter)\nN_time (number of observations in the bin)\nN_S (number of observations in the bin)\nN_T (number of observations in the bin)\nN_disssolved_oxygen (number of observations in the bin)\nN_wlbb2fl_sig470nm_adjusted (number of observations in the bin)\nN_wlbb2fl_sig700nm_adjusted (number of observations in the bin)\nN_wlbb2fl_sig695nm_adjusted (number of observations in the bin)\nS_ref (low-pass filtered salinity, 3.0 days and 10.0 m, PSU)\nS_rms_ref (rms of salinity within smoothing window (high-freq variance). Despiker removes data more than 3.0 deviations for mean, PSU)\nT_ref (low-pass filtered temperature, 3.0 days and 10.0 m, degree_C)\nT_rms_ref (rms of temperature within smoothing window (high-freq variance). Despiker removes data more than 3.0 deviations for mean [deg C], degree_C)\ndissolved_oxygen_ref (low-pass filtered dissolved_oxygen, 3.0 days and 10.0 m, micromoles/kg)\ndissolved_oxygen_rms_ref (rms of dissolved_oxygen within smoothing window (high-freq variance). Despiker removes data more than 3.0 deviations for mean, micromoles/kg)\nwlbb2fl_sig470nm_adjusted_ref (low-pass filtered wlbb2fl_sig470nm_adjusted, 3.0 days and 10.0 m, meter^-1 steradian^-1)\nwlbb2fl_sig470nm_adjusted_rms_ref (rms of wlbb2fl_sig470nm_adjusted within smoothing window (high-freq variance). Despiker removes data more than 3.0 deviations for mean, meter^-1 steradian^-1)\nwlbb2fl_sig700nm_adjusted_ref (low-pass filtered wlbb2fl_sig700nm_adjusted, 3.0 days and 10.0 m, meter^-1 steradian^-1)\n... (26 more variables)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/SOCHIC_2022_SG640_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/SOCHIC_2022_SG640_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/SOCHIC_2022_SG640/index.htmlTable https://zenodo.org/records/11059426 (external link) https://erddap.sochic-h2020.eu/erddap/rss/SOCHIC_2022_SG640.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=SOCHIC_2022_SG640&showErrors=false&email= SO-CHIC SOCHIC_2022_SG640
https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_2022_SG675.subset https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_2022_SG675 https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_2022_SG675.graph https://erddap.sochic-h2020.eu/erddap/files/SOCHIC_2022_SG675/ Physical, chemical, and biological data collected from Seaglider SG675 during SG675 SeaTrial SO-CHIC deployed on 2022-01-23 This dataset contains the temperature, salinity, dissolved oxygen, fluorescence, and backscatter profiles from a Seaglider (SG675), which was deployed at the Maud Rise seamount in the eastern part of the Weddell Sea from the 23rd of January 2022, to the 18th of June 2022\n\ncdm_data_type = Other\nVARIABLES:\ntime (date in seconds for every sample point, interpolated, seconds since 1970-01-01T00:00:00Z)\nS (corrected salinity, with outliers removed, interpolated over gaps < 50.0m, PSU)\nT (corrected in-situ temperature, with outliers removed, interpolated over gaps < 50.0m, degree_C)\nspeed (forward speed of the glider through the water from the flight model, meters/second)\ndissolved_oxygen (Dissolved oxygen recalculated from phase with salinity and pressure corrections interpolated over gaps < 50.0m [micromoles/kg], PSU)\nwlbb2fl_sig470nm_adjusted (total volume blue scattering coefficient using manufacturer-supplied dark counts and scaling factor interpolated over gaps < 50.0m, meter^-1 steradian^-1)\nwlbb2fl_sig700nm_adjusted (total volume red scattering coefficient using manufacturer-supplied dark counts and scaling factor interpolated over gaps < 50.0m, meter^-1 steradian^-1)\nwlbb2fl_sig695nm_adjusted (chlorophyll-a concentration using manufacturer-supplied dark counts and scaling factor based on phytoplankton monoculture interpolated over gaps < 50.0m, micrograms/liter)\nN_time (number of observations in the bin)\nN_S (number of observations in the bin)\nN_T (number of observations in the bin)\nN_disssolved_oxygen (number of observations in the bin)\nN_wlbb2fl_sig470nm_adjusted (number of observations in the bin)\nN_wlbb2fl_sig700nm_adjusted (number of observations in the bin)\nN_wlbb2fl_sig695nm_adjusted (number of observations in the bin)\nS_ref (low-pass filtered salinity, 3.0 days and 10.0 m, PSU)\nS_rms_ref (rms of salinity within smoothing window (high-freq variance). Despiker removes data more than 3.0 deviations for mean, PSU)\nT_ref (low-pass filtered temperature, 3.0 days and 10.0 m, degree_C)\nT_rms_ref (rms of temperature within smoothing window (high-freq variance). Despiker removes data more than 3.0 deviations for mean [deg C], degree_C)\ndissolved_oxygen_ref (low-pass filtered dissolved_oxygen, 3.0 days and 10.0 m, micromoles/kg)\ndissolved_oxygen_rms_ref (rms of dissolved_oxygen within smoothing window (high-freq variance). Despiker removes data more than 3.0 deviations for mean, micromoles/kg)\nwlbb2fl_sig470nm_adjusted_ref (low-pass filtered wlbb2fl_sig470nm_adjusted, 3.0 days and 10.0 m, meter^-1 steradian^-1)\nwlbb2fl_sig470nm_adjusted_rms_ref (rms of wlbb2fl_sig470nm_adjusted within smoothing window (high-freq variance). Despiker removes data more than 3.0 deviations for mean, meter^-1 steradian^-1)\nwlbb2fl_sig700nm_adjusted_ref (low-pass filtered wlbb2fl_sig700nm_adjusted, 3.0 days and 10.0 m, meter^-1 steradian^-1)\nwlbb2fl_sig700nm_adjusted_rms_ref (rms of wlbb2fl_sig700nm_adjusted within smoothing window (high-freq variance). Despiker removes data more than 3.0 deviations for mean, meter^-1 steradian^-1)\n... (26 more variables)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/SOCHIC_2022_SG675_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/SOCHIC_2022_SG675_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/SOCHIC_2022_SG675/index.htmlTable https://zenodo.org/records/11059426 (external link) https://erddap.sochic-h2020.eu/erddap/rss/SOCHIC_2022_SG675.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=SOCHIC_2022_SG675&showErrors=false&email= SO-CHIC SOCHIC_2022_SG675
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

 
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