News
January 8, 2014 • 1 min read • News
News article on JASMIN Expansion Phases 2 and 3
Major expansion for the JASMIN super-data-cluster After a successful first year of operations for JASMIN, which saw many exciting science collaborations taking advantage of the JASMIN petascale data processing and storage, the system began to operate near capacity. It was clear there was a pent up demand for a “big data analytic environment” in the environmental science community.
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November 14, 2013 • 2 min read • News
CHARMe Project News Datasets annotations a step closer!
Being able to “tag” datasets with useful annotations has been one of the deliverables of the EU funded Characterisation of metadata to enable high-quality climate applications and services - CHARMe project that CEDA is assisting with. The following tatement comes from Paul van der Linden, the CHARMe project communicator, highlighting the progress to deliver this exciting new feature for data centre users:
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October 28, 2013 • 5 min read • News
CEDA’s Summer 2013 Student Placements Projects
During the summer this year CEDA welcomed 4 undergraduate students to take up summer studentships working alongside CEDA staff. During this time their work touched on data from three of the data centres operated by CEDA: the British Atmospheric Data Centre, NERC Earth Observation Data Centre and the UK Solar System Data Centre.
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September 18, 2013 • 1 min read • News
BADC Amateur Weather Data Survey
The British Atmospheric Data Centre are interested in how the amateur meteorology community collects and archives its weather data. To help us gain a better understanding of the amateur meteorological community and how it deals with the data it collects we would like to invite all amateur meteorologists to complete a short survey:
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March 22, 2013 • 2 min read • News
Data with DOIs 1st CEDA data paper published!
CEDA users can now find out more about some of the data we hold with the recent publication of our 1st data paper in the Geoscience Data Journal . Papers in data journals are fully citable articles detailing the data as a valuable scientific resource in its own right – giving due academic credit to the data producers through a fully peer reviewed process. These papers include details about the dataset itself, how and why it was created and suggests further uses for the data.
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