Data and Materials: Summarizing Global SARS-CoV-2 Geographical Spread by Phylogenetic Multitype Branching Models
https://doi.org/10.48360/eyvp-w474
Raw numerical results, phylogeny, and related data for the conference proceeding article "Summarizing Global SARS-CoV-2 Geographical Spread by Phylogenetic Multitype Branching Models".
To merge these files in Unix shell, simply use the "cat" command to concatenate the four parts into a single big "tar.gz" file, then decompress as usual. For example: "cat DATASET01.tar.gz DATASET02.tar.gz DATASET03.tar.gz DATASET04.tar.gz > FULL.tar.gz". Then decompress the newly generated FULL.tar.gz.
On Windows, rename "DATASET0X.tar.gz" to "DATASET.tar.gz.00X" for each X={1,2,3,4}. Then use the "7-Zip" app to open the part 1 (i.e., "DATASET.tar.gz.001"); then 7-Zip should automatically detect the presence of part 2~4 and decompress everything.
The dataset was originally published in DiVA and moved to SND in 2024.
Download 4 files with open access (47.72 GiB)
Files with open access (4)
Files with open access (4)
Citation and access
Citation and access
Access level:
Creator/Principal investigator(s):
- Hao Chi Kiang – Linköping University
Research principal:
Data contains personal data:
No
Citation:
Language:
Administrative information
Administrative information
Contributor(s):
- Sebastian Sakowski – University of Lodz, Faculty of Mathematics and Computer Science, Lodz, Poland
- Stefano Iacus – Institute of Quantitative Social Sciences, Harvard University, Cambridge (MA), USA
- Michele Vespe – European Commission, Joint Research Centre, Ispra, Italy
Identifiers
Identifiers
Topic and keywords
Topic and keywords
Swedish Standard Classification of Research Subjects 2025:
Metadata
Metadata
Version 1
Linköping University