  Despite the widespread availability of information concerning Public
Transport from different sources, it is extremely hard to have a complete
picture, in particular at a national scale. Here, we integrate timetable data
obtained from the United Kingdom open-data program together with timetables of
domestic flights, and obtain a comprehensive snapshot of the temporal
characteristics of the whole UK public transport system for a week in October
2010. In order to focus on the multi-modal aspects of the system, we use a
coarse graining procedure and define explicitly the coupling between different
transport modes such as connections at airports, ferry docks, rail, metro,
coach and bus stations. The resulting weighted, directed, temporal and
multilayer network is provided in simple, commonly used formats, ensuring easy
accessibility and the possibility of a straightforward use of old or
specifically developed methods on this new and extensive dataset.
