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Sgarabotto, A.; Manzella, I.

Smart sensor data from tracking cobble movement in rolling and sliding experiments

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This dataset is under embargo and will be made available by 10 October 2025 at the latest   Find out more »

https://doi.org/10.5285/14c540a8-1894-43c5-ba3b-1045df73e28f
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
Publication date: 2023-11-09
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More information

View numbers valid from 09 November 2023 (information prior to this was not collected)

Format

Comma-separated values (CSV)

Provenance & quality

Experiments were carried out for different slopes, namely 18˚, 25˚, 30˚, 35˚, 40˚, 45˚, 50˚, and 55˚ . The experiments were recorded by a GoPro camera filming the experiments frontally with a 4K resolution and a frame rate of 30 fps. A sensor equipped with an accelerometer, a gyroscope, and a magnetometer was installed within the cobble. The accelerometer and gyroscope had an acquisition frequency set at 59.5 Hz, whereas the magnetometer recorded at 4 Hz. The cobble motion is described by the smart sensor data and the position computed from camera recordings by a detection algorithm.
Rolling experiments were repeated three times and sliding experiments repeated four times. For each test, given the different acquisition frequencies, data were upsampled so that sensor-based data and camera-based data have the same number of entries when referring to the same test, providing a time series describing cobble motion over time. After the upsampling, the timestep between any successive entries is 0.017 s. Additionally, filtered sensor- data and camera-based data are also provided to get more reliable data on cobble motion.

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. (2023). Smart sensor data from tracking cobble movement in rolling and sliding experiments. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/14c540a8-1894-43c5-ba3b-1045df73e28f

Correspondence/contact details

Dr. Alessandro Sgarabotto
University of Plymouth
 alessandro.sgarabotto@plymouth.ac.uk

Authors

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

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
boulders , ground-based monitoring , landslide , Smart sensors
Funding
Natural Environment Research Council Award: NE/V003402/1
Last updated
27 February 2024 16:13