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  • This service provides a user-friendly Graphical User Interface (GUI) that allow researchers to run a workflow wrapped into R code for: - the reshaping of the input dataset in order to obtain alien species and native specie richness for each family at the habitat and site level. If more that 1 EUNIS habitat is present in a site, the richness will be calculate for the two (or more that 2) habitats in the site; - the selection of the best fitting model, by calling a set of R functions from the packages lme4 and MuMIn. Initially, a full GLMM model is calculated including both richness and level-1 EUNIS habitat as fixed factor. Subsequently, reduced models are calculated and compared with the full model using the Akaike Information Criteria (AIC). The model showing the best AIC is used to create the output (tables and graph); - the plot of the rarefaction curves on the reshaped dataset.

  • The Traits Computation web service provides a user-friendly Graphical User Interface (GUI) that allow researchers to run a workflow wrapped into R code for the computation of morphological and demographic traits, such as biovolume, surface area, surface-volume ratio, density, cell carbon content, density, carbon content and total biovolume. The service works on datasets structured according to the Phytoplankton Data Template that can be selected by the GUI or uploaded by the researchers. The input file is in CSV format with some mandatory fields according to the calculation type. Before selecting or uploading the input file, users have to specify some parameters (e.g., the calculation type, and the traits to be computed). The web service provides as output a file in .csv format, including all input data and the new calculated traits.

  • The World Register of Introduced Marine Species (WRiMS) records which marine species in the World Register of Marine species (WoRMS) have been introduced deliberately or accidentally by human activities to geographic areas outside their native range. As a user or developer you can use the WoRMS webservice to feed your own application with standard WoRMS data, including WRiMS data. A non-exhaustive list of applications: - get the AphiaID for your taxon - check the spelling of your taxa - get the authority for your taxa - get the full classification for your taxa - resolve your unaccepted names to accepted ones - get all synonyms for a taxon - fuzzy/near match your species list - resolve a common name/vernacular to a scientific name - get the common name(s)/vernacular(s) for a taxon - get the sources/references for a taxon - get the WoRMS citation for a taxon - get the direct children for a taxon - get all taxa modified during a time interval - get an external identifier for a taxon - get the AphiaID for an external identifier/database - get all distributions for a taxon - get all attributes for a taxon

  • As a user or developer you can use the WoRMS webservice to feed your own application with standard WoRMS data. A non exhaustive list of applications: - get the AphiaID for your taxon - check the spelling of your taxa - get the authority for your taxa - get the full classification for your taxa - resolve your unaccepted names to accepted ones - get all synonyms for a taxon - fuzzy/near match your species list - resolve a common name/vernacular to a scientific name - get the common name(s)/vernacular(s) for a taxon - get the sources/references for a taxon - get the WoRMS citation for a taxon - get the direct children for a taxon - get all taxa modified during a time interval - get an external identifier for a taxon - get the AphiaID for an external identifier/database - get all distributions for a taxon - get all attributes for a taxon

  • This service aims at crossing the datacube with a geographic layer in order to compute incidence information per zone. This information is extracted based on the geolocation code. It includes a tool to visualize the outputs rasters. It represents the Step 5 of the Biotope vulnerability Workflow within the Internal Joint Initiative.

  • The dataset contains an updated checklist of the terrestrial, freshwater, and marine species of Metazoa present in Italy; the first version of the dataset includes > 27000 species and subspecies. For each species, an updated taxonomic classification and the currently accepted Linnean binomen and authorship is given, accompanied by distributional data (occurrence in 3 terrestrial and 9 marine macroregions, and optionally occurrence in the administrative Italian regions and neighbouring areas abroad). Endemics and alien species are indicated. The dataset is completed by taxonomic and distributional notes including pertinent literature and synonymies.