Data and Materials: Summarizing Global SARS-CoV-2 Geographical Spread by Phylogenetic Multitype Branching Models

SND-ID: 2024-362. Version: 1. DOI: https://doi.org/10.48360/eyvp-w474

Citation

Creator/Principal investigator(s)

Hao Chi Kiang - Linköping University

Research principal

Linköping University rorId

Description

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.

Data contains personal data

No

Language

Method and outcome
Data collection
Geographic coverage
Administrative information

Contributor(s)

Krzysztof Bartoszek - Linköping University orcid

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

Topic and keywords

Research area

Bioinformatics and systems biology (Standard för svensk indelning av forskningsämnen 2011)

Publications
Published: 2024-07-04