  We present a new dataset, dedicated to the development of simultaneous
localization and mapping methods for underwater vehicles navigating close to
the seabed. The data sequences composing this dataset are recorded in three
different environments: a harbor at a depth of a few meters, a first
archaeological site at a depth of 270 meters and a second site at a depth of
380 meters. The data acquisition is performed using Remotely Operated Vehicles
equipped with a monocular monochromatic camera, a low-cost inertial measurement
unit, a pressure sensor and a computing unit, all embedded in a single
enclosure. The sensors' measurements are recorded synchronously on the
computing unit and seventeen sequences have been created from all the acquired
data. These sequences are made available in the form of ROS bags and as raw
data. For each sequence, a trajectory has also been computed offline using a
Structure-from-Motion library in order to allow the comparison with real-time
localization methods. With the release of this dataset, we wish to provide data
difficult to acquire and to encourage the development of vision-based
localization methods dedicated to the underwater environment. The dataset can
be downloaded from: http://www.lirmm.fr/aqualoc/
