Software Open Access
RAMP-VIS/RAMPVIS-PhilTransA-Supplement: RAMPVIS_PhilTransA_Supplement_v2.0
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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240
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| All versions | This version | |
|---|---|---|
| Views | 240 | 126 |
| Downloads | 1 | 1 |
| Data volume | 99.3 MB | 99.3 MB |
| Unique views | 192 | 114 |
| Unique downloads | 1 | 1 |
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- Publication date:
- February 28, 2022
- DOI:
-
- Keyword(s):
- Visualization Visual Analytics Epidemiological Modelling
- Grants:
-
Research Councils UK:
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Open Epidemiology for pandemic modelling: a transparent, traceable, reusable, open source pipeline for reproducible science (ST/V006126/1)
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RAMP VIS: Making Visual Analytics an Integral Part of the Technological Infrastructure for Combating COVID-19 (EP/V054236/1)
- Visual Analytics for Explaining and Analysing Contact Tracing Networks (EP/V033670/1)
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Open Epidemiology for pandemic modelling: a transparent, traceable, reusable, open source pipeline for reproducible science (ST/V006126/1)
- Related identifiers:
- Supplement to
- License (for files):
- Creative Commons Attribution 4.0 International