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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.emodnet.eu/erddap/griddap/biology_6648_Benthos_NorthSea-BalticSea_7eb9_d3ea_6c8d https://erddap.emodnet.eu/erddap/griddap/biology_6648_Benthos_NorthSea-BalticSea_7eb9_d3ea_6c8d.graph https://erddap.emodnet.eu/erddap/wms/biology_6648_Benthos_NorthSea-BalticSea_7eb9_d3ea_6c8d/request https://erddap.emodnet.eu/erddap/files/biology_6648_Benthos_NorthSea-BalticSea_7eb9_d3ea_6c8d/ Data product numerical abundance of benthic macroinvertebrates in North Sea and Baltic Sea The data product on benthic living modes (Beauchard, 2018), was based on an extensive compilation of data on benthic abundance and biomass. However, this dataset was only present as a data file, without the underlying scripts to reproduce the result. With the present data product, we correct this procedural gap. This dataset differs in details from the file underlying the data product on living modes. Datasets were selected that were sufficiently similar in methods for sampling (either boxcore or grab), sampled surface (in the order of 0.1 square meter, although the exact value is variable - it can be found back in the data files) and sieves (1 mm and 0.5 mm sieves were included). For all datasets, abundance was either used directly from the given abundance in the dataset, or calculated from the given counts and area sampled.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [aphiaid][latitude][longitude]):\nabundance (Count of biological entity per grid cell)\n https://erddap.emodnet.eu/erddap/metadata/fgdc/xml/biology_6648_Benthos_NorthSea-BalticSea_7eb9_d3ea_6c8d_fgdc.xml https://erddap.emodnet.eu/erddap/metadata/iso19115/xml/biology_6648_Benthos_NorthSea-BalticSea_7eb9_d3ea_6c8d_iso19115.xml https://erddap.emodnet.eu/erddap/info/biology_6648_Benthos_NorthSea-BalticSea_7eb9_d3ea_6c8d/index.htmlTable https://www.emodnet-biology.eu/data-catalog?module=dataset&dasid=6648 (external link) https://erddap.emodnet.eu/erddap/rss/biology_6648_Benthos_NorthSea-BalticSea_7eb9_d3ea_6c8d.rss https://erddap.emodnet.eu/erddap/subscriptions/add.html?datasetID=biology_6648_Benthos_NorthSea-BalticSea_7eb9_d3ea_6c8d&showErrors=false&email= Deltares biology_6648_Benthos_NorthSea-BalticSea_7eb9_d3ea_6c8d
https://erddap.emodnet.eu/erddap/griddap/V2023_chemistry_f463_04d7_db16 https://erddap.emodnet.eu/erddap/griddap/V2023_chemistry_f463_04d7_db16.graph https://erddap.emodnet.eu/erddap/wms/V2023_chemistry_f463_04d7_db16/request European seas, DIVAnd 4D monthly analysis of Water body phosphate 1960/2020 v2023 [time][depth][lat][lon], 0.25°, 1990 European seas - DIVAnd 4D monthly analysis of Water body phosphate 1960/2020 v2023. Monthly climatology. University of Liege, GeoHydrodynamics and Environment Research data from http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-projects/v2023/All_European_Seas/Water_body_phosphate.nc.das .\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nWater_body_phosphate_L1 (Water body phosphate masked using relative error threshold 0.3, umol/l)\nWater_body_phosphate_L2 (Water body phosphate masked using relative error threshold 0.5, umol/l)\nWater_body_phosphate_relerr (Relative error of Water body phosphate, 1)\n https://erddap.emodnet.eu/erddap/metadata/fgdc/xml/V2023_chemistry_f463_04d7_db16_fgdc.xml https://erddap.emodnet.eu/erddap/metadata/iso19115/xml/V2023_chemistry_f463_04d7_db16_iso19115.xml https://erddap.emodnet.eu/erddap/info/V2023_chemistry_f463_04d7_db16/index.htmlTable https://doi.org/10.13120/fa5c704a-a5ea-4f60-91b5-2bf6a7aded45 (external link) https://erddap.emodnet.eu/erddap/rss/V2023_chemistry_f463_04d7_db16.rss https://erddap.emodnet.eu/erddap/subscriptions/add.html?datasetID=V2023_chemistry_f463_04d7_db16&showErrors=false&email= University of Liege, GeoHydrodynamics and Environment Research V2023_chemistry_f463_04d7_db16
https://erddap.emodnet.eu/erddap/griddap/V2023_chemistry_c327_647a_0b8b https://erddap.emodnet.eu/erddap/griddap/V2023_chemistry_c327_647a_0b8b.graph https://erddap.emodnet.eu/erddap/wms/V2023_chemistry_c327_647a_0b8b/request European seas, DIVAnd 4D monthly analysis of Water body phosphate 1960/2020 v2023 [time][lat][lon], 0.25°, 1990 European seas - DIVAnd 4D monthly analysis of Water body phosphate 1960/2020 v2023. Monthly climatology. University of Liege, GeoHydrodynamics and Environment Research data from http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-projects/v2023/All_European_Seas/Water_body_phosphate.nc.das .\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nWater_body_phosphate_deepest (Deepest values of Water body phosphate, umol/l)\n https://erddap.emodnet.eu/erddap/metadata/fgdc/xml/V2023_chemistry_c327_647a_0b8b_fgdc.xml https://erddap.emodnet.eu/erddap/metadata/iso19115/xml/V2023_chemistry_c327_647a_0b8b_iso19115.xml https://erddap.emodnet.eu/erddap/info/V2023_chemistry_c327_647a_0b8b/index.htmlTable https://doi.org/10.13120/fa5c704a-a5ea-4f60-91b5-2bf6a7aded45 (external link) https://erddap.emodnet.eu/erddap/rss/V2023_chemistry_c327_647a_0b8b.rss https://erddap.emodnet.eu/erddap/subscriptions/add.html?datasetID=V2023_chemistry_c327_647a_0b8b&showErrors=false&email= University of Liege, GeoHydrodynamics and Environment Research V2023_chemistry_c327_647a_0b8b
https://erddap.emodnet.eu/erddap/griddap/GLODAPv2_2016b_CMEMS https://erddap.emodnet.eu/erddap/griddap/GLODAPv2_2016b_CMEMS.graph https://erddap.emodnet.eu/erddap/wms/GLODAPv2_2016b_CMEMS/request https://erddap.emodnet.eu/erddap/files/GLODAPv2_2016b_CMEMS/ Global Ocean Data Analysis Project for Carbon (GLODAP) 1 X 1 global mapped field of temperature 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 [time][depth][latitude][longitude]):\nNO3 (moles of nitrate per unit mass in seawater, micro-mol kg-1)\nNO3_error (nitrate error, micro-mol kg-1)\nNO3_relerr (relative error)\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)\noxygen (moles of dissolved molecular oxygen per unit mass in seawater, micro-mol kg-1)\noxygen_error (dissolved molecular oxygen error, micro-mol kg-1)\noxygen_relerr (relative error)\noxygen_Input_mean (bin averaged input data, micro-mol kg-1)\noxygen_Input_std (standard deviation of bin averaged input data, micro-mol kg-1)\noxygen_Input_N (number of data in bins)\npHts25p0 (seawater ph reported on total scale at standard temperature (25C) and pressure (0dbar))\npHts25p0_error (pH error)\npHts25p0_relerr (relative error)\npHts25p0_Input_mean (bin averaged input data, micro-mol kg-1)\npHts25p0_Input_std (standard deviation of bin averaged input data, micro-mol kg-1)\npHts25p0_Input_N (number of data in bins)\npHtsinsitutp (seawater ph reported on total scale at in situ temperature and pressure)\npHtsinsitutp_error (pH error)\npHtsinsitutp_relerr (relative error)\npHtsinsitutp_Input_mean (micro-mol kg-1)\npHtsinsitutp_Input_std (standard deviation of bin averaged input data, micro-mol kg-1)\npHtsinsitutp_Input_N (number of data in bins)\n... (36 more variables)\n https://erddap.emodnet.eu/erddap/metadata/fgdc/xml/GLODAPv2_2016b_CMEMS_fgdc.xml https://erddap.emodnet.eu/erddap/metadata/iso19115/xml/GLODAPv2_2016b_CMEMS_iso19115.xml https://erddap.emodnet.eu/erddap/info/GLODAPv2_2016b_CMEMS/index.htmlTable http://marine.copernicus.eu (external link) https://erddap.emodnet.eu/erddap/rss/GLODAPv2_2016b_CMEMS.rss https://erddap.emodnet.eu/erddap/subscriptions/add.html?datasetID=GLODAPv2_2016b_CMEMS&showErrors=false&email= Bjerknes Centre for Climate Research GLODAPv2_2016b_CMEMS

 
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