Sgarabotto, A.; Manzella, I.; Raby, A.
Smart sensor data from tracking the interactions between two wooden dowels travelling along a flume in laboratory experiments
This dataset is under embargo and will be made available by 10 October 2025 at the latest Find out more »
Cite this dataset as:
Sgarabotto, A.; Manzella, I.; Raby, A. (2023). Smart sensor data from tracking the interactions between two wooden dowels travelling along a flume in laboratory experiments. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/d176d0af-388b-4a7b-82ca-8fcc38a4ad5d
Download/Access
This dataset is under embargo and will be made available by 10 October 2025 at the latest Find out more »
https://doi.org/10.5285/d176d0af-388b-4a7b-82ca-8fcc38a4ad5d
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.
Publication date: 2023-11-14
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View numbers valid from 14 November 2023 (information prior to this was not collected)
Format
Comma-separated values (CSV)
Provenance & quality
Each wooden dowel was hollow, and a sensor equipped with an accelerometer, a gyroscope, and a magnetometer was installed within the longitudinal borehole of each one. One dowel was painted red and the other yellow. The experiments were recorded from above by two cameras with a 4K resolution and a frame rate of 30 fps. The accelerometer and gyroscope had an acquisition frequency set at 14.9 Hz, whereas the magnetometer recorded at 5 Hz.
The data were processed and saved in two separate CSV files, one for each dowel and each experiment. First, the cameras were calibrated and the images were rectified. Then, each sensor was calibrated and the orientation angles were computed. The gravity effects were compensated for to compute the linear acceleration. Lastly, a linear Kalman filter was used to computer more reliable linear acceleration, velocity and position values. More details are available in the ReadMe.docx.
The data were processed and saved in two separate CSV files, one for each dowel and each experiment. First, the cameras were calibrated and the images were rectified. Then, each sensor was calibrated and the orientation angles were computed. The gravity effects were compensated for to compute the linear acceleration. Lastly, a linear Kalman filter was used to computer more reliable linear acceleration, velocity and position values. More details are available in the ReadMe.docx.
Licensing and constraints
This dataset is under embargo and will be made available by 10 October 2025 at the latest Find out more »
This dataset will be available under the terms of the Open Government Licence
Cite this dataset as:
Sgarabotto, A.; Manzella, I.; Raby, A. (2023). Smart sensor data from tracking the interactions between two wooden dowels travelling along a flume in laboratory experiments. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/d176d0af-388b-4a7b-82ca-8fcc38a4ad5d
Related
This dataset is included in the following collections
Correspondence/contact details
Sgarabotto, A.
University of Plymouth
Plymouth
Devon
PL4 8AA
UNITED KINGDOM
alessandro.sgarabotto@plymouth.ac.uk
Devon
PL4 8AA
UNITED KINGDOM
Authors
Other contacts
Rights holders
University of Plymouth, University of Exeter, University of East Anglia
Custodian
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Publisher
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk