10.60507/FK2/VUMWZINabatanzi, MaureenMaureenNabatanzi0000-0002-9801-4210University of Bonnbonndata2026Agricultural SciencesEarth and Environmental SciencesMedicine, Health and Life SciencesNabatanzi, MaureenMaureenNabatanziUniversity of Bonn2026-03-062026-07-082025-08-01/2025-12-01Genome sequences17782896717875884816353539515259608816087788465107690228668781463631471583638316235011361712720374809077900589472783581100770641574388010339902149496634580001179394144115930782133050842127251269845865880053270486209531361111872236357303291image/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/tiffimage/tifftext/plainimage/tiffvideo/mp4application/octet-streamimage/tifftext/plainimage/tiffimage/tiff1.0CC BY 4.0This dataset comprises Sindbis virus (SINV) sequences, their locations of sample collection and ecological variables used to conduct continuous phylogeographic and phylodynamic analysis of SINV dispersal in Africa. There are 23 complete and near-complete SINV genomes sampled across Africa between 1952 and 2022. Ecological variables comprise 26 potential predictors with suspected associations with viral discovery and dispersal. Sequences and location data were used to generate time-calibrated phylogenies, its spatiotemporal dispersal history and dispersal dynamics. We assessed the impact of the predictors on viral dispersal position, direction, and velocity.MAFFT, 7R, 4.5.2German Research Foundation (DFG)458328858