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| griddap | Subset | tabledap | Make A Graph | wms | files | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| /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/
| 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
| 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
| 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
| 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 |