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VERCE Delivers a Productive E-science Environment for Seismology Research
The VERCE project has pioneered an e-Infrastructure to support researchers using established simu...
Malcolm Atkinson, Alessandro Spinuso | Journal: IEEE 11th International Conference on e-Science | Year: 2015 | doi: 10.1109/eScience.2015.38
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Comprehensible Control for Researchers and Developers Facing Data Challenges
The DARE platform enables researchers and their developers to exploit more capabilities to handle...
Malcolm Atkinson, Alessandro Spinuso | Journal: 15th International Conference on eScience (eScience) | Year: 2019 | doi: 10.1109/eScience.2019.00042
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S-ProvFlow. Storing and Exploring Lineage Data as a Service
We present a set of configurable Web service and interactive tools, s-ProvFlow, for managing and ...
Alessandro Spinuso, Malcolm Atkinson, Federica Magnoni | Journal: Data Intelligence | Year: 2022 | doi: https://doi.org/10.1162/dint_a_00128
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WFCatalog: a catalogue for seismological waveform data
This paper reports advances in seismic waveform description and discovery leading to a new seismo...
Luca Trani, Mathijs Koymans, Malcolm Atkinson, Reinoud Sleeman and Rosa Filgueira | Status: submitted | Journal: Computers and Geosciences | Volume: 106 | Year: 2017 | First page: 101 | Last page: 108 | doi: https://doi.org/10.1016/j.cageo.2017.06.008
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Provenance for seismological processing pipelines in a distributed streaming workflow
Harvesting provenance for streaming workflows presents challenges related to the high rate of the...
A Spinuso, J Cheney, M Atkinson | Conference: EDTB/ICTD workshop: Managing and Querying Provenance Data at Scale | Year: 2013 | First page: 0 | Last page: 0
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