November 21, 2021 Software Open Access

Dykes, Jason; Abdul-Rahman, Alfie; Archambault, Daniel; Bach, Benjamin; Borgo, Rita; Chen, Min; Enright, Jess; Fang, Hui; Firat, Elif; Freeman, Euan; Gonen, Tuna; Harris, Claire; Jianu, Radu; John, Nigel; Khan, Saiful; Lahiff, Andrew; Laramee, Robert; Matthews, Louise; Mohr, Sibylle; Nguyen, Phong; Rahat, Alma; Reeve, Richard; Ritsos, Panagiotis; Roberts, Jonathan; Slingsby, Aidan; Swallow, Ben; Torsney-Weir, Thomas; Turkay, Cagatay; Turner, Robert; Vidal, Franck; Wang, Qiru; Wood, Jo; Xu, Kai

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        "affiliation": "City, University of London", 
        "name": "Dykes, Jason"
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        "affiliation": "King's College London", 
        "name": "Abdul-Rahman, Alfie"
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        "affiliation": "Swansea University", 
        "name": "Archambault, Daniel"
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        "name": "Bach, Benjamin"
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        "affiliation": "Oxford University", 
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        "affiliation": "Loughborough University", 
        "name": "Fang, Hui"
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        "affiliation": "University of Nottingham", 
        "name": "Firat, Elif"
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      {
        "affiliation": "University of Glasgow", 
        "name": "Freeman, Euan"
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      {
        "affiliation": "University of Oxford", 
        "name": "Gonen, Tuna"
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        "affiliation": "Biomathematics and Statistics Scotland", 
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        "affiliation": "City, University of London", 
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        "name": "John, Nigel"
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        "affiliation": "Oxford University", 
        "name": "Khan, Saiful"
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        "affiliation": "United Kingdom Atomic Energy Authority", 
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        "affiliation": "University of Nottingham", 
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        "name": "Swallow, Ben"
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        "name": "Torsney-Weir, Thomas"
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        "name": "Wood, Jo"
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        "affiliation": "Middlesex University", 
        "name": "Xu, Kai"
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    "resource_type": {
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    "description": "<p>The first release of the RAMPVIS PhilTransA Supplement with Observable Notebooks of the Idioms.</p>\n\n<p>This is a repository for the collection of immutable, archived versions of the Observable Notebooks to support the RAMPVIS PhilTransA submission :</p>\n\n<p>&ldquo;<strong><em>Visualization for Epidemiological Modelling: Challenges, Solutions, Reflections &amp; Recommendations</em></strong>&rdquo;</p>"
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