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Data from high-energy physics (HEP) experiments are collected with significant financial and human effort and are mostly unique. An inter-experimental study group on HEP data preservation and long-term analysis was convened as a panel of the International Committee for Future Accelerators (ICFA). The group was formed by large collider-based experiments and(More)
The NDG project began in September 2002. The aim of the project is to utilise the promise of grid technologies to allow members of a virtual organisation (the NERC community) to share environmental data held in disparate institutions. The NDG virtual organisation will begin with elements of the oceanographic and atmospheric community, but aims to expand to(More)
In this article we describe the eMinerals mini grid, which is now running in production mode. This is an integration of both compute and data components, the former build upon Condor, PBS and the functionality of Globus v2, and the latter being based on the combined use of the Storage Resource Broker and the CCLRC data portal. We describe how we have(More)
This paper describes a prototype grid infrastructure, called the " eMinerals minigrid " , for molecular simulation scientists. which is based on an integration of shared compute and data resources. We describe the key components, namely the use of Condor pools, Linux/Unix clusters with PBS and IBM's LoadLeveller job handling tools, the use of Globus for(More)
The testbed project has the ambition to push the practical possibilities of atomistic simulations forward to the point where we can perform realistic calculations on important environmental processes. The project has three components: the science driving the project, the development of the simulation codes, and setting up a grid infrastructure for this(More)
The project aims to provide easy, transparent access to experimental, observational, simulation and visualisation data kept on a multitude of systems and sites. Further more it will provide links to other web/grid services, which will allow the scientists to further use the selected data, e.g. via data mining, simulations or visualisation. The Data Portal(More)