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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
/erddap/griddap/biology_6648_Benthos_NorthSea-BalticSea_7eb9_d3ea_6c8d /erddap/griddap/biology_6648_Benthos_NorthSea-BalticSea_7eb9_d3ea_6c8d.graph /erddap/wms/biology_6648_Benthos_NorthSea-BalticSea_7eb9_d3ea_6c8d/request /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 (Log-transformed (log10(x+1)) number of individuals of biological entity per square meter averaged per grid cell)\n /erddap/metadata/fgdc/xml/biology_6648_Benthos_NorthSea-BalticSea_7eb9_d3ea_6c8d_fgdc.xml /erddap/metadata/iso19115/xml/biology_6648_Benthos_NorthSea-BalticSea_7eb9_d3ea_6c8d_iso19115.xml /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 /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
/erddap/griddap/biology_8514_94a0_0784_7406 /erddap/griddap/biology_8514_94a0_0784_7406.graph /erddap/files/biology_8514_94a0_0784_7406/ Density of Loggerhead Turtles in the Mediterranean Sea Loggerhead turtles are a globally vulnerable species of marine turtle. The Mediterranean Sea subpopulation, which ranges throughout the entire Mediterranean basin, is listed as least concern but experiences significant threats in the region including bycatch in fisheries, climate change, coastal development, and marine pollution. Broad-scale patterns of distribution and abundance can provide regional managers a tool to effectively conserve and manage this species at basin and sub-basin scales. Here NUWC uses aerial and shipboard line transect survey data collected between 2003 and 2018 to estimate density and abundance throughout the Mediterranean Sea using distance sampling methodology. A spatial density model estimating loggerhead density, abundance, and distribution across the Mediterranean Sea was generated as a long-term annual average. The model was adjusted for availability bias using dive data from loggerhead turtles tagged with time depth recorders from multiple regions within the Mediterranean Sea. Geographic extrapolation in areas near surveys was undertaken with caution. Mean abundance for the long-term average model was estimated as 994,000 CV 0.20. This estimate represents the first basin-wide estimate of abundance for this species in the Mediterranean not based on demographic models. These data have been re-projected from the original published data  presented in DiMatteo et al. 2024, in order to meet EMODnet technical  requirements. Small spatial mismatches and value discrepancies between  the original model and the version available here may exist but have not been formally assessed.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [y][x]):\nabundance (Abundance of biological entity specified elsewhere per unit area of the bed)\ncoefficient_of_variation\n /erddap/info/biology_8514_94a0_0784_7406/index.htmlTable https://discover.dtic.mil/ (external link) https://erddap.emodnet.eu/erddap/rss/biology_8514_94a0_0784_7406.rss /erddap/subscriptions/add.html?datasetID=biology_8514_94a0_0784_7406&showErrors=false&email= Naval Undersea Warfare Center Division biology_8514_94a0_0784_7406
/erddap/griddap/V2023_chemistry_f463_04d7_db16 /erddap/griddap/V2023_chemistry_f463_04d7_db16.graph /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 /erddap/metadata/fgdc/xml/V2023_chemistry_f463_04d7_db16_fgdc.xml /erddap/metadata/iso19115/xml/V2023_chemistry_f463_04d7_db16_iso19115.xml /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 /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
/erddap/griddap/V2023_chemistry_c327_647a_0b8b /erddap/griddap/V2023_chemistry_c327_647a_0b8b.graph /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 /erddap/metadata/fgdc/xml/V2023_chemistry_c327_647a_0b8b_fgdc.xml /erddap/metadata/iso19115/xml/V2023_chemistry_c327_647a_0b8b_iso19115.xml /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 /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
/erddap/griddap/GLODAPv2_2016b_CMEMS /erddap/griddap/GLODAPv2_2016b_CMEMS.graph /erddap/wms/GLODAPv2_2016b_CMEMS/request /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 /erddap/metadata/fgdc/xml/GLODAPv2_2016b_CMEMS_fgdc.xml /erddap/metadata/iso19115/xml/GLODAPv2_2016b_CMEMS_iso19115.xml /erddap/info/GLODAPv2_2016b_CMEMS/index.htmlTable http://marine.copernicus.eu (external link) https://erddap.emodnet.eu/erddap/rss/GLODAPv2_2016b_CMEMS.rss /erddap/subscriptions/add.html?datasetID=GLODAPv2_2016b_CMEMS&showErrors=false&email= Bjerknes Centre for Climate Research GLODAPv2_2016b_CMEMS
/erddap/griddap/biology_8730_3b9_4612_8c26 /erddap/griddap/biology_8730_3b9_4612_8c26.graph /erddap/files/biology_8730_3b9_4612_8c26/ Habitat suitability for reef-forming species in the North Sea. Due to fishing and other human activities, reef forming species have almost completely disappeared over roughly the past century. They are important structures that accomodate juvenile fish and other small organisms. For protection of areas where such reefs could possibly be reintroduced, it is important to define areas that are suitable habitats. This product aims to classify areas in the North Sea based on current occurence in combination with environmental variables that are particularly suitable for these organisms.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [aphiaid][latitude][longitude]):\nhabitat_suitability (Habitat suitability of biological entity specified elsewhere per unit area of the bed)\n /erddap/metadata/fgdc/xml/biology_8730_3b9_4612_8c26_fgdc.xml /erddap/metadata/iso19115/xml/biology_8730_3b9_4612_8c26_iso19115.xml /erddap/info/biology_8730_3b9_4612_8c26/index.htmlTable www.deltares.nl https://erddap.emodnet.eu/erddap/rss/biology_8730_3b9_4612_8c26.rss /erddap/subscriptions/add.html?datasetID=biology_8730_3b9_4612_8c26&showErrors=false&email= Deltares biology_8730_3b9_4612_8c26
/erddap/griddap/biology_8461_cafa_bd5b_f2a3 /erddap/griddap/biology_8461_cafa_bd5b_f2a3.graph /erddap/files/biology_8461_cafa_bd5b_f2a3/ Potential biomass catches (tons/year) per surface unit (0.25º latitude x 0.25º longitude) based on 3-D probability of occurrence for the main commercial fish species of the Atlantic Potential catch value of each cell integrates the catches along the water column (from surface until 1000 m depth). See Valle et al. (2024) in Ecological Modelling 490:110632 (https://doi.org/10.1016/j.ecolmodel.2024.110632), for more details\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [aphiaid][latitude][longitude]):\npotential_catches (Potential biomass catch, tons year-1)\n /erddap/metadata/fgdc/xml/biology_8461_cafa_bd5b_f2a3_fgdc.xml /erddap/metadata/iso19115/xml/biology_8461_cafa_bd5b_f2a3_iso19115.xml /erddap/info/biology_8461_cafa_bd5b_f2a3/index.htmlTable www.azti.es https://erddap.emodnet.eu/erddap/rss/biology_8461_cafa_bd5b_f2a3.rss /erddap/subscriptions/add.html?datasetID=biology_8461_cafa_bd5b_f2a3&showErrors=false&email= BRTA biology_8461_cafa_bd5b_f2a3

 
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