Teams

A collection of workflows and pipelines developed as part of the ERGA consortium

The main goal of Ewoks is to automate data processing and experiments at large-scale facilities as well as making data processing more scientific (reproducible) and FAIR (traceable). Ewoks is not yet another workflow management system. To ensure the longevity of workflows and their implementation, Ewoks was designed to be a meta workflow system. This allows workflows to be isolated from the underlying software technologies used to execute and manage them.

EuroScienceGateway will leverage a distributed computing network across 13 European countries, accessible via 6 national, user-friendly web portals, facilitating access to compute and storage infrastructures across Europe as well as to data, tools, workflows and services that can be customized to suit researchers’ needs.EuroScienceGateway will deliver a robust, scalable, seamlessly integrated open infrastructure for data-driven research, contributing an innovative and customizable service for ...

In recent years, convolutional neural network (CNN)-based methods have shown remarkable performance in the denoising and reconstruction of super-resolved structured illumination microscopy (SR-SIM) data. Therefore, CNN-based architectures have been the main focus of existing studies. Recently, however, an alternative and highly competitive deep learning architecture, Swin Transformer, has been proposed for image restoration tasks. In this work, we present SwinT-fairSIM, a novel method for restoring ...

Presentations and events associated with work in FAIR Guiding Principles for Computational Workflows.

A new approach to observation and modelling of the Earth System, Environment and Biodiversity. An easy way to visualise, analyse and process environmental data on-demand.