This dataset contains measurements from smart sensors monitoring the motion state of a physical analogue of a Large Wood (LW) dam in laboratory experiments. The smart sensors were equipped with an accelerometer, gyroscope and magnetometer and they recorded angular velocity, total acceleration, and the magnetic field. These data were used to calculate the linear acceleration and gravity acceleration which are also provided in this dataset. Three factors were changed during the experiment: inclination, constraint configuration, and flow conditions. The experiments were repeated 10 times. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/94aa98b2-b7f7-42c8-81ad-3085d0151eff

[This nonGeographicDataset is embargoed until October 10, 2025]. This dataset contains measurements from smart sensors and cameras monitoring the movement of a single wooden dowel moving downstream in a flume. The following values in the x, y, and z directions are provided: velocity, linear acceleration, angular velocity, and filtered angular velocity. The quaternion components are also included. Four uniform flow conditions were tested, and the experiments were repeated about 50 times. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/11b69869-90db-4deb-8ec2-a78f6bb0ea24

[This nonGeographicDataset is embargoed until October 10, 2025]. These data show the results of experiments consisting of releasing a cobble down a tilting table composed of two panels. The first board was 150 cm wide and 150 cm long and can change the inclination, whereas the other one was 150 cm wide, and 200 cm long and always stayed horizontal. Experiments were carried out for different slope angles and camera- and sensor-based data collected to show cobble motion over time. The cobble motion is described by the smart sensor data (accelerometer, gyroscope, and magnetometer) and the position computed from camera recordings by a detection algorithm Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/14c540a8-1894-43c5-ba3b-1045df73e28f

[This nonGeographicDataset is embargoed until October 10, 2025]. This dataset contains measurements from smart sensors and cameras monitoring the movement and interaction between two wooden dowels moving downstream in a flume. The following values in the x, y and z direction are provided: position, velocity, linear acceleration, angular velocity and filtered angular velocity. Three uniform flow conditions were tested, and the experiments were repeated about 30 times. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/d176d0af-388b-4a7b-82ca-8fcc38a4ad5d

[This nonGeographicDataset is embargoed until October 10, 2025]. This dataset contains outputs from the numerical simulations of a single cylindrical woody debris being released in a flume (0.6 m wide and 6.0 m long) with a flow depth of 0.208 m and travelling downstream. The outputs include: position, orientation, linear velocity and acceleration, and angular velocity and acceleration. The simulations were carried out by using DualSPHysics, an open source SPH-based modelling framework. Four flow conditions and three different initial orientations (0, -5 and +5 deg) were simulated. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/2221837a-98b9-4802-9e10-72b6e9c84136