PEMA is a HPC-centered, containerized assembly of key metabarcoding analysis tools. It supports the downstream analysis of four marker genes (16S/18S rRNA, ITS and COI) but also, by allowing the user to train the classifiers with custom reference databases, it can be used for further marker genes. By combining state-of-the art technologies and algorithms with an easy to get-set-use framework, PEMA allows researchers to tune thoroughly each study thanks to roll-back checkpoints and on-demand partial pipeline execution features.

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.

Portal to display lists of occurrence data, visualize georeferenced records in map, statistics of the dataset search with dynamic graphs, explore a single record to view related information and the quality tests run on the record and download data.

This service aims to be a citizen science portal where users can contribute with images of Glacier Lagoons in Sierra Nevada and its surroundings.

The package includes algorithms for presence-background (Maxent) and presence-absence (GAM, GLM). It allows to construct niche models and analyze patterns of niche evolution. It acts as an interface for many popular modeling algorithms, and allows users to conduct Monte Carlo tests to address basic questions in evolutionary ecology and biogeography.

The package includes several methods that helps users to create virtual distribution map. Such maps can be used for Species Distribution Modelling (SDM) studies, which use environmental data for sites of occurrence of a species to predict all the sites where the environmental conditions are suitable for the species to persist, and may be expected to occur.

The service aims at harvesting species occurrences from GBIF based on a keyword for the geographic region (two letter country code) and a time interval, both entered by the user. It represents the Step 1a of the Biotope vulnerability Workflow within the Internal Joint Initiative.

The GBIF.ES e-learning platform offers online workshops on data quality, data publication, data use, etc. open to whole GBIF community.

IPFS is a peer-to-peer (p2p) storage network. Content is accessible through peers located anywhere in the LifeWatch ERIC network, that might relay information, store it, or do both. IPFS knows how to find files by using its content address rather than its location. It will be used mainly by the blockchain services.

The objective of this service is to enable the interaction of LifeBlock Testnet with a proprietary IPFS network through the use of smart contracts. This functionality allows the storage of the information identification hash in IPFS in LifeBlock Testnet. Technical data for this service: - URL: http://135.125.10.249:5000/ - Contract address: 0x42699a7612a82f1d9c36148af9c77354759b210b