Changes for page SGA3 D1.2 Showcase 1

Last modified by fousekjan on 2022/07/04 18:31

From version 6.1
edited by fousekjan
on 2021/12/30 00:12
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To version 2.1
edited by fousekjan
on 2021/12/17 09:02
Change comment: There is no comment for this version

Summary

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5 -= Advanced prototype software integrating heterogeneous region models =
5 += My Collab's Extended Title =
6 6  
7 -SGA3 D1.2 - Showcase 1: "Degeneracy in neuroscience - when is Big Data big enough"
7 +My collab's subtitle
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9 9  )))
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15 -== ==
15 += What can I find here? =
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17 -The Showcase is implemented as a series of interactive Jupyter notebooks covering the individual logical steps and can be accessed in a dedicated public EBRAINS collab.
17 +* Notice how the table of contents on the right
18 +* is automatically updated
19 +* to hold this page's headers
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21 += Who has access? =
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20 -The EBRAINS collab consists of interlinked Drive, Bucket, Wiki, and Lab. The Drive provides small file storage and contains the notebooks and all supporting code. The Bucket is a large file storage service and holds the pre-computed results of the extensive parameter sweeps and model optimizations to allow skipping the computationally demanding steps. The documentation of the showcase implementation is collected in the Wiki. The Lab service is an instance of JupyterLab—an interactive computing environment where the notebooks can be run and worked with.
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23 -The notebooks in this collab will load all required Python modules including Siibra and The Virtual Brain, and the interfaces for launching the computationally demanding parts in the HPC infrastructure. Running the notebooks requires an EBRANS account with permissions to access the Lab and the Knowledge Graph API. In addition, to be able to interact with the HPC infrastructure, the user has to have access to an active allocation on the corresponding FENIX site. 
24 -
25 -
26 -== ==
27 -
28 -
23 +Describe the audience of this collab.
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34 34  {{box title="**Contents**"}}
35 -{{toc start="2"/}}
30 +{{toc/}}
36 36  {{/box}}
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38 38  
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