  There is a growing academic interest as well as commercial exploitation of
millimetre-wave scanning radar for autonomous vehicle localisation and scene
understanding. Although several datasets to support this research area have
been released, they are primarily focused on urban or semi-urban environments.
Nevertheless, rugged offroad deployments are important application areas which
also present unique challenges and opportunities for this sensor technology.
Therefore, the Oxford Offroad Radar Dataset (OORD) presents data collected in
the rugged Scottish highlands in extreme weather. The radar data we offer to
the community are accompanied by GPS/INS reference - to further stimulate
research in radar place recognition. In total we release over 90GiB of radar
scans as well as GPS and IMU readings by driving a diverse set of four routes
over 11 forays, totalling approximately 154km of rugged driving. This is an
area increasingly explored in literature, and we therefore present and release
examples of recent open-sourced radar place recognition systems and their
performance on our dataset. This includes a learned neural network, the weights
of which we also release. The data and tools are made freely available to the
community at https://oxford-robotics-institute.github.io/oord-dataset.
