This service allows to filter the list of samples in the MasterARMS csv file on date range (start and end date in ISO format) and geographic location (lat and lon in decimal degrees). Moreover, also the selection of specific samples is permitted. It represents the Step 3 of the ARMS Workflow within the Internal Joint Initiative.

A service that aims at calculating the trophic position of the consumer (i.e. invader) by using a Bayesian model and stable isotope data of one prey species used as a baseline. The service replaces the NA values of the consumer's trophic position within the column "trophicLevel” of the "SIA.csv” with the numeric value of the estimated trophic position within the output file "troph_SIA.csv". This service uses the R package tRrophicPosition v. 0.8 that is based on a powerful approach of Markov Chain Monte Carlo simulations provided by JAGS and it represents Step 1 of the Crustaceans Workflow within the Internal Joint Initiative.

A service that aims at verifying the coordinates (latitude and longitude in column 3 and 4 of file “Pop_trop_SIA.csv”) match with the location (“country” and “location” in column 1 and 2 of file “Pop_troph_SIA.csv”) using the “SIAShapefile.shp”. This is very important because these geographic coordinates will be used in other services to extract and retrieve environmental data on the location of the species observation/occurrence. So scientists need to ensure these coordinates are correct. It represents the Step 3.2 of the Crustaceans Workflow within the Internal Joint Initiative.

It is a Support Vector Machine classifier trained for a 2-classes problem. It represents the Step 9 of the Ailanthus Workflow within the Internal Joint Initiative.

It is a Support Vector Machine, pixel-based, classifier trained for a multi-class problem. It represents the Step 4 of the Ailanthus Workflow within the Internal Joint Initiative.

This service aims to uploading a local file in the ARMS validation case. It represents the Step 2 of the ARMS Workflow within the Internal Joint Initiative.

The service aims at splitting the input shapefile for each FAO-LCCS taxo code. Within the Ailanthus workflow of the Internal Joint Intiative, it represents the step 6 and 7 of the second stage (where a 2 classes problem is considered). The algorithm is run by considering training and test data allowing to map the FAO-LCCS classes into the corresponding numerical classes.

This service allows to choose which column of the MasterARMS file contains the specific data to process. Moreover, it permits to provide additional files or arguments as parameters. It represents the Step 4 of the ARMS Workflow within the Internal Joint Initiative.

This service aims at enabling the dataset uploading from the user. It represents the Step 1b of the Biotope vulnerability Workflow within the Internal Joint Initiative.

This service extracts from GBIF (Global Biodiversity Information Facility) taxa occurrence records that were not classified as NIS in Step 3 (GBIF NIS Verifier) of the Metabarcoding workflow. This step aims to verify if eDNA detections were identified outside the known distribution range using GBIF occurrences records. Additionally, for such eDNA detections, this step produces a geographical spatial polygon based on occurrence records available in GBIF. It represents the Step 4 of the Metabarcoding Workflow within the Internal Joint Initiative.