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  • This service aims at building two datacubes based on the occurrences. The datacube aggregates (=counts) occurrences on a regular grid. This count has a stochastic component that takes the uncertainty field into account. All this process has been developed in R in the frame of the TrIAS project. It represents the Step 4 of the Biotope vulnerability 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 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.

  • 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.

  • 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 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.

  • This service aims to reformat and produce final output in variuos formats for human and machine2machine reading. It represents the Step 9 of the ARMS Workflow within the Internal Joint Initiative.

  • This service aims at checking which taxa detected and identified from eDNA metabarcoding sequences are listed as NIS and which taxa are not (i.e. native or unrecorded NIS). This service uses available GBIF (Global Biodiversity Information Facility) records of NIS for each Country provided by the Invasive Species Specialist Group (ISSG). it checks if a species is present in the checklist and if this is the case, the species is flagged as being invasive for that country by adding 1 (yes) or 0 (no) to the column isInChecklist of the data frame, and the checklist key or a note to the ref_checklistKey column, for the corresponding cases. It represents the Step 3 of the Metabarcoding Workflow within the Internal Joint Initiative.

  • This service intersects the map(s) (geographical spatial polygons) from GBIF occurrence(s) with the locations of a list of taxa detected from eDNA metabarcoding and which were not included in the NIS checklist to verify if such eDNA detection(s) is/are likely to be new NIS detected in that location from eDNA sequences. It represents the Step 5 of the Metabarcoding Workflow within the Internal Joint Initiative.

  • This service aims to compute a list of taxa IDs detected from metabarcoding sequences of environmental DNA (eDNA) samples. This service contains eight substeps (1.1 to 1.8) implemented as a unique step. The eight substeps perform (1) sequencing error correction (using BayesHammer-SPAdes); (2) pairwise alignment, (3) pre-filtering, (4) dereplication, (5) attribute filtering, (6) clustering and OTU tab-producer (using OBITools); (7) taxonomic assignment (using blastn); (8) OTUs table generator. Several types of eDNA samples can be processed (i.e. water, feces, soil). It represents the Step 1 of the Metabarcoding Workflow within the Internal Joint Initiative.