ERDDAP
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griddap | Subset | tabledap | Make A Graph | wms | files | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
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https://erddap.sochic-h2020.eu/erddap/tabledap/EP_ERD_SLD_ATME_AL_PP_955.subset | https://erddap.sochic-h2020.eu/erddap/tabledap/EP_ERD_SLD_ATME_AL_PP_955 | https://erddap.sochic-h2020.eu/erddap/tabledap/EP_ERD_SLD_ATME_AL_PP_955.graph | https://erddap.sochic-h2020.eu/erddap/files/EP_ERD_SLD_ATME_AL_PP_955/ | EMODnet Physics - Collection of Saildrone Atlantic Ocean to Mediterranean (ATL2MED) SD-1030 Real-Time-Data | Saildrone Atlantic Ocean to Mediterranean (ATL2MED) SD-1030 Sea Real-Time-Data. Saildrone data from a local source.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntrajectory (Trajectory/Drone ID)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\nHDG_WING (Wing heading, degree)\nWING_HDG_FILTERED_MEAN (Wing heading one minute mean, degree)\nWING_HDG_FILTERED_STDDEV (Wing heading one minute stddev, degree)\nWING_ROLL_FILTERED_MEAN (Wing roll one minute mean, degree)\nWING_ROLL_FILTERED_STDDEV (Wing roll one minute stddev, degree)\n... (53 more variables)\n | https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/EP_ERD_SLD_ATME_AL_PP_955_fgdc.xml | https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/EP_ERD_SLD_ATME_AL_PP_955_iso19115.xml | https://erddap.sochic-h2020.eu/erddap/info/EP_ERD_SLD_ATME_AL_PP_955/index.htmlTable | http://saildrone.com/ | https://erddap.sochic-h2020.eu/erddap/rss/EP_ERD_SLD_ATME_AL_PP_955.rss | https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=EP_ERD_SLD_ATME_AL_PP_955&showErrors=false&email= | Saildrone | EP_ERD_SLD_ATME_AL_PP_955 | ||
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/ | 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_SD_1067_NRT.subset | https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_2022_SD_1067_NRT | https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_2022_SD_1067_NRT.graph | https://erddap.sochic-h2020.eu/erddap/files/SOCHIC_2022_SD_1067_NRT/ | SOCHIC_SO_Saildrone_NRT_data_2022 | This dataset contains atmospheric and oceanic observations of wind speed, air and sea temperature, relative humidity, short and longwave radiation, pCO2, dissolved oxygen, chlorophyll-a, salinity, and currents. The Saildrone was deployed in the Agulhas retroflection area in the Cape Cauldron from the 24th of August 2022 to the 22nd of November 2022.\n\ncdm_data_type = Trajectory\nVARIABLES:\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\nHDG_WING (Wing heading, degree)\nWING_HDG_FILTERED_MEAN (Wing heading one minute mean, degree)\nWING_HDG_FILTERED_STDDEV (Wing heading one minute stddev, degree)\nWING_ROLL_FILTERED_MEAN (Wing roll one minute mean, degree)\nWING_ROLL_FILTERED_STDDEV (Wing roll one minute stddev, degree)\nWING_ROLL_FILTERED_PEAK (Wing roll one minute peak, degree)\nWING_PITCH_FILTERED_MEAN (Wing pitch one minute mean, degree)\n... (84 more variables)\n | https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/SOCHIC_2022_SD_1067_NRT_fgdc.xml | https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/SOCHIC_2022_SD_1067_NRT_iso19115.xml | https://erddap.sochic-h2020.eu/erddap/info/SOCHIC_2022_SD_1067_NRT/index.htmlTable | https://zenodo.org/records/11059426 | https://erddap.sochic-h2020.eu/erddap/rss/SOCHIC_2022_SD_1067_NRT.rss | https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=SOCHIC_2022_SD_1067_NRT&showErrors=false&email= | SO-CHIC | SOCHIC_2022_SD_1067_NRT |