mregions provides access to the data from http://www.marineregions.org in R. It uses both the Marine Regions Gazetteer Web Services and the Marine Regions OGC Web Services. mregions can help in a variety of use cases: - visualize marine regions alone; - visualize marine regions with associated data paired with analysis; - use marine region geospatial boundaries to query data providers (e.g., OBIS: http://www.iobis.org); - Geocode: get geolocation data from place names; - reverse Geocode: get place names from geolocation data.

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 Atlas of phytoplankton is a guide for the identification of marine and freshwater species. It includes pictures, synonyms, morphological, morphometric and ecological characteristics and geographical distribution of the taxa. It also provides formulas to calculate the biovolume and surface area based on linear dimensions according to the organism view (e.g., lateral, frontal, etc.).

The goal of sdmpredictors is to make environmental data, commonly used for species distribution modelling (SDM), also called ecological niche modelling (ENM) or habitat suitability modelling, easy to use in R. sdmpredictors gives access to several environmental datasets, including the the Bio-ORACLE Marine Data Layers for Bioclimatic Modelling. LifeWatch hosts the website https://www.bio-oracle.org/ and supports the development of these layers. The package contains methods for getting downloading raster data for the current climate but also for future and paleo climatic conditions. These rasters and then loaded into R.

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

The LifeWatch Italy national node has realised the Alien and Invasive Species Virtual Research Environment (Alien Species VRE) for supporting researchers to address basic and applied studies on ecosystem vulnerability to alien species arrival. The Alien Species VRE allows to: - access and download harmonised data on the national distribution of species of fauna and flora belonging to different habitats (marine, fresh and transitional waters, and terrestrial) published through the LifeWatch Italy Data Portal and distributed by the LifeWatch ERIC Metadata Catalogue; - upload their own datasets structured according to the LifeWatch Italy Data Schema in order to execute the service included in the VRE.

The Atlas of Shapes includes an illustrative scheme of the shapes subdivided in “Simple Shapes” and “Complex Shapes”. Clicking on a specific shape, users are able to see: the code and the name of the shape, the shape view (e.g., lateral, frontal, etc.) with the corresponding linear dimensions, the biovolume and surface area computational models with all the formulae associated. Clicking again on a specific shape, users will be redirected to all taxa present in the Atlas of Phytoplankton that are characterized by the selected shape. Atlas of shapes and Atlas of phytoplankton are integrated and can be easily joint switching from taxonomic identification to morphological characterization of phytoplankton.

The LifeWatch Italy national node has realised the Phytoplankton Virtual Research Environment (Phyto VRE) for supporting researchers to address basic and applied studies on phytoplankton ecology at a level of resolution going from individual cells to whole assemblages. The Phyto VRE enables researchers to: - produce harmonised data on taxonomy and morphological traits by using the Atlas of Phytoplankton, Atlas of Shapes and Phytoplankton Traits Thesaurus; - access, download, and select LifeWatch Italy datasets (published through the LifeWatch Italy Data Portal and distributed by the LifeWatch ERIC Metadata Catalogue) or upload their own datasets structured according to the Phyto template based on the LifeWatch Italy Data Schema in order to execute the services included in the VRE; - faciliatate the computation of morphological and demographic traits (such as hidden dimension, biovolume, surface area, surface-volume ratio, cell carbon content, etc.) and investigate their distribution patterns at different levels of data aggregation (i.e. spatial, temporal, taxonomic) by means of services, which automate a set of operations written in the R language.

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

The Biodiversity Data Portal of Portugal provided access to biodiversity occurrence data published by national institutions through the Global Biodiversity Information Facility (GBIF), and data published by foreign institutions for the Portuguese territory. This portal implemented by the Portuguese Node of GBIF, under the scope of PORBIOTA-LifeWatch.Pt, corresponds to the implementation of the national platform of the Atlas of Living Australia. The platform is currently supported by the community Living Atlases, a community of GBIF Nodes and other partners. The implementation of the platform seeks to answer to access needs for biodiversity data, with access and data analysis adjusted to Portugal, and its geographic, administrative, biogeographic and ecological context. Moreover, it provides tools for data analysis with greater details and capacity for details.