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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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/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![]() | 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/![]() | 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/biology_8780_20a9_a982_ec71 | /erddap/griddap/biology_8780_20a9_a982_ec71.graph | /erddap/files/biology_8780_20a9_a982_ec71/ | Global predicted thermal distributions for intertidal macroalgae | This dataset contains the geographic projections of the modelled \n thermal distribution of intertidal macroalgae. Two variables are included:\n Habitat suitability maps and its derived binary distribution.These distributions \n will be used to estimate the Community Temperature Index for the communities \n included in the EMODNET biology dataset 5973, which includes cover date of \n intertidal macroalgae along the coast of NW Spain. More details can be found here: \n Ramos, E., Sainz-Villegas, S., de la Hoz, C.F., Puente, A., Juanes, J.A. (2023) \n Community Temperature Index (CTI) for intertidal macroalgae in NW Spain.Integrated \n data products created under the European Marine Observation Data Network (EMODnet) \n Biology project CINEA/EMFAF/2022/3.5.2/SI2.895681, funded by the European Union under \n Regulation (EU) No 508/2014 of the European Parliament and of the Council of 15\n May 2014 on the European Maritime and Fisheries Fund\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [aphiaid][latitude][longitude]):\nhabitat_suitability (Habitat suitability of biological entity)\npresence_absence (Thermal distribution of biological entity)\n | /erddap/metadata/fgdc/xml/biology_8780_20a9_a982_ec71_fgdc.xml | /erddap/metadata/iso19115/xml/biology_8780_20a9_a982_ec71_iso19115.xml | /erddap/info/biology_8780_20a9_a982_ec71/index.htmlTable | ??? | https://erddap.emodnet.eu/erddap/rss/biology_8780_20a9_a982_ec71.rss | /erddap/subscriptions/add.html?datasetID=biology_8780_20a9_a982_ec71&showErrors=false&email= | IHCantabria - Instituto de Hidraulica Ambiental de la Universidad de Cantabria | biology_8780_20a9_a982_ec71 | |||
/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_8522_mod_habitats_comm_fish_2090_f23a_5ced | /erddap/griddap/biology_8522_mod_habitats_comm_fish_2090_f23a_5ced.graph | /erddap/files/biology_8522_mod_habitats_comm_fish_2090_f23a_5ced/ | Modelled projections of habitat for commercial fish around North-western Europe under climate change, 2020 to 2060 | Environmental Niche Model (ENM) outputs for 49 commercial fish species under climate change until the decade of 2060 around northwestern Europe. A model ensemble of 5 ENMs was used (MaxEnt, Generalised Linear Models, Support Vector Machine, Random Forest and BIOCLIM ), and projections were made under three different emission scenarios: A1B, RCP4.5 and RCP 8.5. The data shows model agreement (normalised to 1) for presence/absence decadal projections from 2020 to 2060. Additionally we provide data on model performance, with the Area Under the Curve (AUC) scores of the Receiver Operator Characteristic (ROC) curve for each of the 5 ENMs trained for each combination of fish species and emission scenario. Only ENMs with an AUC score of at least 0.7 were considered.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [emmision_scenario][aphiaid][time][latitude][longitude]):\nprobability_of_occurrence (Probability of occurrence of biological entity)\n | /erddap/metadata/fgdc/xml/biology_8522_mod_habitats_comm_fish_2090_f23a_5ced_fgdc.xml | /erddap/metadata/iso19115/xml/biology_8522_mod_habitats_comm_fish_2090_f23a_5ced_iso19115.xml | /erddap/info/biology_8522_mod_habitats_comm_fish_2090_f23a_5ced/index.htmlTable | https://www.cefas.co.uk/![]() | https://erddap.emodnet.eu/erddap/rss/biology_8522_mod_habitats_comm_fish_2090_f23a_5ced.rss | /erddap/subscriptions/add.html?datasetID=biology_8522_mod_habitats_comm_fish_2090_f23a_5ced&showErrors=false&email= | CEFAS | biology_8522_mod_habitats_comm_fish_2090_f23a_5ced | |||
/erddap/griddap/biology_8598_78b9_0ca5_9176 | /erddap/griddap/biology_8598_78b9_0ca5_9176.graph | /erddap/files/biology_8598_78b9_0ca5_9176/ | Modelled projections of habitat for fish species feeding guilds around North-western Europe under climate change, 2010 to 2095 | These data are Bayesian Additive Regression Tree model annual predictions for habitat suitability of marine fish species across a range of body sizes and belonging to different feeding guilds from 2010 to 2095 in 5 year intervals in the northeast Atlantic shelf seas. Feeding guilds were allocated based on classifications following Thompson et al. (2020).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][aphiaid][feeding_guild][emission_scenario][y][x]):\nprobability_of_occurrence (Probability of occurrence of biological entity)\n | /erddap/info/biology_8598_78b9_0ca5_9176/index.htmlTable | https://www.cefas.co.uk/![]() | https://erddap.emodnet.eu/erddap/rss/biology_8598_78b9_0ca5_9176.rss | /erddap/subscriptions/add.html?datasetID=biology_8598_78b9_0ca5_9176&showErrors=false&email= | CEFAS | biology_8598_78b9_0ca5_9176 | |||||
/erddap/griddap/biology_phyto_6618_BalticSea_8b1e_5c90_9a2c | /erddap/griddap/biology_phyto_6618_BalticSea_8b1e_5c90_9a2c.graph | /erddap/files/biology_phyto_6618_BalticSea_8b1e_5c90_9a2c/ | Presence/Absence maps of phytoplankton in the Greater Baltic Sea | The project aims to produce comprehensive data product of the occurence and absence of (phyto)plankton species. As a basis, data from EMODnet Biology are used. The selection of relevant datasets is optimized in order to find all planktonic species, and exclude all species that are not planktonic. The occurences from EMODnet Biology were complemenented with absence data assuming fixed species lists within each dataset and year. The products are presented as maps of the distribution of the 20 most common species of (phyto)plankton in the Greater Baltic Sea.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [aphiaid][latitude][longitude]):\nprobability_occurrence (Probability of occurrence of biological entity)\n | /erddap/metadata/fgdc/xml/biology_phyto_6618_BalticSea_8b1e_5c90_9a2c_fgdc.xml | /erddap/info/biology_phyto_6618_BalticSea_8b1e_5c90_9a2c/index.htmlTable | https://www.emodnet-biology.eu/data-catalog?module=dataset&dasid=6618![]() | https://erddap.emodnet.eu/erddap/rss/biology_phyto_6618_BalticSea_8b1e_5c90_9a2c.rss | /erddap/subscriptions/add.html?datasetID=biology_phyto_6618_BalticSea_8b1e_5c90_9a2c&showErrors=false&email= | SMHI | biology_phyto_6618_BalticSea_8b1e_5c90_9a2c | ||||
/erddap/tabledap/biology_6587_phyto_north_sea_4bd1_a08c_0019 | /erddap/tabledap/biology_6587_phyto_north_sea_4bd1_a08c_0019.graph | /erddap/files/biology_6587_phyto_north_sea_4bd1_a08c_0019/ | Presence/Absence maps of phytoplankton in the Greater North Sea | The project aims to produce comprehensive data product of the occurence and absence of (phyto)plankton species. As a basis, data from EMODnet Biology are used. The selection of relevant datasets is optimized in order to find all planktonic species, and exclude all species that are not planktonic. The occurences from EMODnet Biology were complemenented with absence data assuming fixed species lists within each dataset and year. The products are presented as maps of the distribution of the 100 most common species of (phyto)plankton in the Greater North Sea. This product then is also used for interpolated maps, using the DIVA software.\n\ncdm_data_type = Other\nVARIABLES:\naphiaid (Life Science Identifier - World Register of Marine Species, level)\nseason (Season Level, level)\nlatitude (degrees_north)\nlongitude (degrees_east)\nprobability_occurrence (Probability of occurrence of biological entity)\n | /erddap/metadata/fgdc/xml/biology_6587_phyto_north_sea_4bd1_a08c_0019_fgdc.xml | /erddap/metadata/iso19115/xml/biology_6587_phyto_north_sea_4bd1_a08c_0019_iso19115.xml | /erddap/info/biology_6587_phyto_north_sea_4bd1_a08c_0019/index.htmlTable | https://www.emodnet-biology.eu/data-catalog?module=dataset&dasid=6587![]() | https://erddap.emodnet.eu/erddap/rss/biology_6587_phyto_north_sea_4bd1_a08c_0019.rss | /erddap/subscriptions/add.html?datasetID=biology_6587_phyto_north_sea_4bd1_a08c_0019&showErrors=false&email= | DELTARES | biology_6587_phyto_north_sea_4bd1_a08c_0019 | |||
/erddap/griddap/biology_6587_phyto_NorthSea_4bd1_a08c_0019 | /erddap/griddap/biology_6587_phyto_NorthSea_4bd1_a08c_0019.graph | /erddap/files/biology_6587_phyto_NorthSea_4bd1_a08c_0019/ | Presence/Absence maps of phytoplankton in the Greater North Sea | The project aims to produce comprehensive data product of the occurence and absence of (phyto)plankton species. As a basis, data from EMODnet Biology are used. The selection of relevant datasets is optimized in order to find all planktonic species, and exclude all species that are not planktonic. The occurences from EMODnet Biology were complemenented with absence data assuming fixed species lists within each dataset and year. The products are presented as maps of the distribution of the 100 most common species of (phyto)plankton in the Greater North Sea. This product then is also used for interpolated maps, using the DIVA software.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [aphiaid][season][latitude][longitude]):\nprobability_occurrence (Probability of occurrence of biological entity)\n | /erddap/metadata/fgdc/xml/biology_6587_phyto_NorthSea_4bd1_a08c_0019_fgdc.xml | /erddap/metadata/iso19115/xml/biology_6587_phyto_NorthSea_4bd1_a08c_0019_iso19115.xml | /erddap/info/biology_6587_phyto_NorthSea_4bd1_a08c_0019/index.htmlTable | https://www.emodnet-biology.eu/data-catalog?module=dataset&dasid=6587![]() | https://erddap.emodnet.eu/erddap/rss/biology_6587_phyto_NorthSea_4bd1_a08c_0019.rss | /erddap/subscriptions/add.html?datasetID=biology_6587_phyto_NorthSea_4bd1_a08c_0019&showErrors=false&email= | DELTARES | biology_6587_phyto_NorthSea_4bd1_a08c_0019 | |||
/erddap/griddap/biology_6640_benthos_NorthSea_e4af_0f0e_6a73 | /erddap/griddap/biology_6640_benthos_NorthSea_e4af_0f0e_6a73.graph | /erddap/wms/biology_6640_benthos_NorthSea_e4af_0f0e_6a73/request | /erddap/files/biology_6640_benthos_NorthSea_e4af_0f0e_6a73/ | Probability maps for different benthos species in the North Sea | Probability of occurrence of different macroinvertebrate benthic species in the North Sea. This product was created using DIVAnd, an interpolation method that takes into account several environmental variables and physical coastlines.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [aphiaid][latitude][longitude]):\nprobability (Probability of occurrence of biological entity)\nprobability_error (Error on Probability of occurrence of biological entity)\n | /erddap/metadata/fgdc/xml/biology_6640_benthos_NorthSea_e4af_0f0e_6a73_fgdc.xml | /erddap/metadata/iso19115/xml/biology_6640_benthos_NorthSea_e4af_0f0e_6a73_iso19115.xml | /erddap/info/biology_6640_benthos_NorthSea_e4af_0f0e_6a73/index.htmlTable | https://www.emodnet-biology.eu/data-catalog?module=dataset&dasid=6640![]() | https://erddap.emodnet.eu/erddap/rss/biology_6640_benthos_NorthSea_e4af_0f0e_6a73.rss | /erddap/subscriptions/add.html?datasetID=biology_6640_benthos_NorthSea_e4af_0f0e_6a73&showErrors=false&email= | GHER - University of Liege, Deltares, VLIZ | biology_6640_benthos_NorthSea_e4af_0f0e_6a73 | ||
/erddap/griddap/biology_3Dmaps_b1af_c515_4ef4 | /erddap/griddap/biology_3Dmaps_b1af_c515_4ef4.graph | /erddap/files/biology_3Dmaps_b1af_c515_4ef4/ | Probability of occurrence 3D map | 3-D habitat suitability maps (HSMS) or probability of occurrence maps for main commercial fish species, built using Shape-Constrained Generalized Additive Models (SC-GAMs)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [aphiaid][depth][latitude][longitude]):\noccurrence_probability (Probability of occurrence of biological entity)\n | /erddap/metadata/fgdc/xml/biology_3Dmaps_b1af_c515_4ef4_fgdc.xml | /erddap/info/biology_3Dmaps_b1af_c515_4ef4/index.htmlTable | www.azti.es | https://erddap.emodnet.eu/erddap/rss/biology_3Dmaps_b1af_c515_4ef4.rss | /erddap/subscriptions/add.html?datasetID=biology_3Dmaps_b1af_c515_4ef4&showErrors=false&email= | BRTA | biology_3Dmaps_b1af_c515_4ef4 | ||||
/erddap/griddap/biology_benthos_6617_5e82_1108_e2c8 | /erddap/griddap/biology_benthos_6617_5e82_1108_e2c8.graph | /erddap/files/biology_benthos_6617_5e82_1108_e2c8/ | Summary presence/absence maps of macro-endobenthos in the greater North Sea, based on nearly 100,000 samples from 65 assembled monitoring data sets | The large databases of EMODNET Biology only store confirmed presences of species. However, when mapping species distribution, it is also important where the species did not occur: there is at least as much information in absences as in presences. Inferring absences from presence-only databases is difficult and always involves some guesswork. In this product we have used as much meta-information as possible to guide us in inferring absences.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [aphiaid][latitude][longitude]):\nprobability_occurrence (Probability of occurrence of biological entity)\n | /erddap/metadata/fgdc/xml/biology_benthos_6617_5e82_1108_e2c8_fgdc.xml | /erddap/metadata/iso19115/xml/biology_benthos_6617_5e82_1108_e2c8_iso19115.xml | /erddap/info/biology_benthos_6617_5e82_1108_e2c8/index.htmlTable | https://www.emodnet-biology.eu/data-catalog?module=dataset&dasid=6617![]() | https://erddap.emodnet.eu/erddap/rss/biology_benthos_6617_5e82_1108_e2c8.rss | /erddap/subscriptions/add.html?datasetID=biology_benthos_6617_5e82_1108_e2c8&showErrors=false&email= | Deltares | biology_benthos_6617_5e82_1108_e2c8 |