BioISI is an R&D unit within the Faculty of Sciences of the University of Lisbon and was created in January 2015 by merging three research centres from the areas of biology, physics and computer science. The main aim of BiolSI is to understand and address biological questions using integrative-systems approaches at the forefront of life sciences research at both national and international scales.

In total, BiolSI will have access to 42 vCPU cores, up to 500GB of RAM and 15TB of storage offered by the INCD (Portugal) data centre.

More information: News article

The EMSODEV project has a goal of facilitating the analysis of climate change and pollution in seafloor ecosystems thanks to the optimisation of the data flow acquired by marine observations.

In total, EMSODEV will have access to 9TB of storage capacity and about 340 virtual CPU cores provided by the following EGI data centres: NCG-INGRID-PT (Portugal), CESGA (Spain), RECAS-Bari (Italy), INFN-PADOVA-STACK (Italy). EMSODEV will use these resources for the project’s research efforts.

More information: News article

D4Science is an organisation that offers a hybrid data infrastructure and hosts more than 50 virtual research environments to serve the biological, ecological, environmental, and statistical communities world-wide.

In total, D4Science will access 220 virtual CPU cores, 544 GB of memory and 12,6 TB of storage provided by the following EGI data centres: CESGA (Spain) GeoGrid (Germany), IISAS-FedCloud (Slovakia), RECAS-Bari (Italy), UPV-GRyCAP (Spain). The D4Science organisation will use these resources to support the activities of their research communities.

More information: SLA agreement

Peachnote is a music score engine and analysis platform that lets you discover new sides of music, find great performances and improve score readings. The system is the first of its kind and is visited by thousands of users every day from all over the world.

In total, Peachnote will access 108 virtual CPU cores, 162 GB of memory and 8TB of storage provided by two EGI cloud providers: CESNET MetaCloud and FZJ. Peachnote.com will use these cloud resources to give visitors of their website access to a massive amount of music data.

More information: News article

The Life-Science Grid Community (LSGC) is a virtual research community that supports life-science applications on the EGI federation. The community is made of research groups from universities, research centres, hospitals and it covers scientific domains such as bioinformatics, genomics, and systems biology.

In total, LSGC has access to 148 vCPU cores, 296 GB of RAM and 2.5 TB of Storage to support the community’s research activities.

More information: SLA agreement and News article

Terradue is a company specialised in the development of service for Earth Sciences data-intensive applications.

EGI Cloud Compute services will extend Terradue’s hybrid cloud using a new OpenNebula OCCI driver and will provide a reliable infrastructure for the ESA Thematic Exploitation Platforms users.

In total, Terradue will access 488 virtual CPU cores, 1312 GB of memory and 16TB of storage, provided by seven EGI Cloud Providers.

More information: News article

The DARIAH Competence Centre (CC) is broadening the usage of e-Infrastructures in the domain of the Arts and Humanities research.

DARIAH will rely on Cloud Compute services to provide a wider access to research e-Infrastructure at European level, including transnational access, joint research, networking and digital services.

In total, DARIAH will access 30 virtual CPU cores, 70 GB of memory and 2TB of storage, provided by two EGI Cloud Providers: INFN-Bari and INFN-Catania (Italy).

More information: News article

The EXTraS project is going to harvest the unexplored information buried in the data collected by the European Photon Imaging Camera instrument on-board the ESA’s X-ray space observatory XMM-Newton, in 13 years of observations.

EXTraS relies on the EGI Cloud Compute service to develop the software tools needed to enhance the discovery potential of ESA XMM-Newton.

In total, EXTraS will access 60 virtual CPU cores, 240 GB of memory and 1,6 TB of storage, provided by three EGI data centres: CYFRONET-Cloud (Poland),  RECAS-BARI (Italy) and INFN-CATANIA-STACK (Italy).

More information: News article

The DRIHM project is a prototype research infrastructure for simulating extreme hydro-meteorological events such as flash flooding. The project enabled a step change in how scientists can approach the study of high impact weather events: more functionality, more efficiency and faster results.

DRIHM is using High-Throughput Compute, Cloud Compute and Online Storage to support the project’s activities.

In total, DRIHM will be using 50 million hours of computing time and more than 10 TB storage capacity, provided by three EGI data centres: HG-09-Okeanos-Cloud (GRNET, Greece),  AM-01-IIAP (Armenia) and INFN-PADOVA (Italy).

More information: News article

MoBrain aims to lower barriers for scientists to access modern e-Science solutions from micro to macro scales.

MoBrain relies on the High-Throughput Compute service for all back-end calculations in the scientific portals they provide to their users (HADDOCK is an example).

The total amount of resources available to MoBrain 75 million hours of computing time and more than 50 TB storage capacity, pleadged by seven EGI data centres: INFN-Padova (Italy), RAL-LCG2 (UK), TW-NCHC (Taiwan), SURFsara (The Netherlands), NCG-INGRID-PT (Portugal), NIKHEF (The Netherlands), and CESNET-MetaCloud (Czech Republic).

More information: News article

BILS (Bioinformatics Infrastructure for Life Sciences) is a distributed national research infrastructure supported by the Swedish Research Council to support life science researchers.

BILS relies on Cloud Compute to provide bioinformatics tools to their members.

The total amount of resources available to BILS is 324 CPU Cores, 648 GB of RAM and around 7 TB of temporary and permanent storage, provided by three EGI Cloud Providers at INFN-Bari (Italy), IN2P3-IRES (France) and TUBITAK (Turkey).