  Understanding temporary migration is crucial for addressing various
socio-economic and environmental challenges in developing countries. However,
traditional surveys often fail to capture such movements effectively, leading
to a scarcity of reliable data, particularly in sub-Saharan Africa. This
article introduces a detailed and open-access dataset that leverages mobile
phone data to capture temporary migration in Senegal with unprecedented
spatio-temporal detail. The dataset provides measures of migration flows and
stock across 151 locations across the country and for each half-month period
from 2013 to 2015, with a specific focus on movements lasting between 20 and
180 days. The article presents a suite of methodological tools that not only
include algorithmic methods for the detection of temporary migration events in
digital traces, but also addresses key challenges in aggregating individual
trajectories into coherent migration statistics. These methodological
advancements are not only pivotal for the intrinsic value of the dataset but
also adaptable for generating systematic migration statistics from other
digital trace datasets in other contexts.
