Part of UKCEH UKCEH logo
UKCEH website
Sgarabotto, A.; Manzella, I.; Raby, A.

Smart sensor data from tracking a single wooden dowel travelling along a flume in laboratory experiments

Cite this dataset
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/10.5285/11b69869-90db-4deb-8ec2-a78f6bb0ea24
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.
Publication date: 2023-11-14
474 views *

More information

View numbers valid from 14 November 2023 (information prior to this was not collected)

Format

Comma-separated values (CSV)

Provenance & quality

The wooden dowel was hollow, and a sensor equipped with an accelerometer, a gyroscope, and a magnetometer was installed within the longitudinal borehole of the wooden dowel. The experiments were recorded above by two cameras (GoPro HERO4 Silver) with a 2.7K 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 CSV files, one for each flow condition 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 a single wooden dowel travelling along a flume in laboratory experiments. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/11b69869-90db-4deb-8ec2-a78f6bb0ea24

Correspondence/contact details

Sgarabotto, A.
University of Plymouth
Plymouth
Devon
PL4 8AA
UNITED KINGDOM
 alessandro.sgarabotto@plymouth.ac.uk

Authors

Sgarabotto, A.
University of Plymouth
Manzella, I.
University of Twente
Raby, A.
University of Plymouth

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

Additional metadata

Topic categories
environment
Keywords
smart sensors , wooden dowel , woody debris transport
Funding
Natural Environment Research Council
Last updated
27 February 2024 16:13