• NERC Data Catalogue Service
  •  
  •  
  •  

Smart sensor data from tracking the displacement of a physical analogue of a large wood dam in laboratory experiments

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

Simple

Date (Publication)
2023-11-15
Identifier
https://catalogue.ceh.ac.uk/id/94aa98b2-b7f7-42c8-81ad-3085d0151eff
Identifier
doi: / 10.5285/94aa98b2-b7f7-42c8-81ad-3085d0151eff
Other citation details
Sgarabotto, A., Manzella, I., Raby, A. (2023). Smart sensor data from tracking the displacement of a physical analogue of a large wood dam in laboratory experiments. NERC EDS Environmental Information Data Centre 10.5285/94aa98b2-b7f7-42c8-81ad-3085d0151eff
Author
  University of Plymouth - Sgarabotto, A.
https://orcid.org/0000-0002-4740-784X
Author
  University of Twente - Manzella, I.
https://orcid.org/0000-0001-7518-819X
Author
  University of Plymouth - Raby, A.
https://orcid.org/0000-0002-8959-0080
Point of contact
  University of Plymouth - Sgarabotto, A.
https://orcid.org/0000-0002-4740-784X
Owner
  University of Plymouth
Owner
  University of Exeter
Owner
  University of East Anglia
Custodian
  NERC EDS Environmental Information Data Centre
Publisher
  NERC EDS Environmental Information Data Centre
Access constraints
otherRestrictions Other restrictions
Other constraints
no limitations
Use constraints
otherRestrictions Other restrictions
Other constraints
This resource is available under the terms of the Open Government Licence
Use constraints
otherRestrictions Other restrictions
Other constraints
If you reuse this data, you should cite: Sgarabotto, A., Manzella, I., Raby, A. (2023). Smart sensor data from tracking the displacement of a physical analogue of a large wood dam in laboratory experiments. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/94aa98b2-b7f7-42c8-81ad-3085d0151eff
Metadata language
EnglishEnglish
Character set
utf8 UTF8
Topic category
  • Environment
Distribution format
  • Comma-separated values (CSV) ()

Distributor
  NERC EDS Environmental Information Data Centre
OnLine resource
Download the data

Download a copy of this data

OnLine resource
Supporting information

Supporting information available to assist in re-use of this dataset

Hierarchy level
nonGeographicDataset Non geographic dataset
Other
nonGeographicDataset

Conformance result

Date (Publication)
2010-12-08
Statement
The physical analogue model of an LW dam was composed of a single hollow wooden dowel installed in a flume using a supporting frame. Two aluminium connections placed at the ends of the wooden dowel were used to mount the wooden dowel on the supporting frame and meant simple modes of movements could be singled out, namely rotation, vertical displacements, and horizontal displacements. The motion of the LW dam under a range of different conditions was monitored using an accelerometer, gyroscope and magnetometer which were installed within the longitudinal borehole of the wooden dowel. The accelerometer and gyroscope had an acquisition frequency set at 59.5 Hz, whereas the magnetometer recorded at 5 Hz. The sensor was equipped with an additional accelerometer measuring continuously; when the acceleration exceeded the user-defined threshold set at 390 mg, the sensor activated and started recording. Each experiment was repeated 10 times and the raw data from each of these experiments were stored in the ‘df_UC.csv’ files. The raw data were processed to produce the measurements in the ‘df_UC_cal.csv’ files. First, the magnetometer data were upsampled to keep the same number of entries for each sensor. Second, each sensor was calibrated. Third, the orientation angles were computed combining the readings of accelerometer, gyroscope, and magnetometer by a built-in function from the Python library AHRS (Attitude and Heading Reference System). Gravity compensation was applied to derive linear acceleration and gravity acceleration. The total, linear and gravity acceleration in the earth system along the x and y direction were also calculated using simple transformations. More details are available in the ReadMe.docx.
File identifier
94aa98b2-b7f7-42c8-81ad-3085d0151eff XML
Metadata language
EnglishEnglish
Character set
ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1
Hierarchy level
nonGeographicDataset Non geographic dataset
Hierarchy level name
nonGeographicDataset
Date stamp
2025-10-10T08:24:02
Metadata standard name
UK GEMINI
Metadata standard version
2.3
Point of contact
  NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg , Lancaster , LA1 4AP , UK
https://eidc.ac.uk/
 
 

Overviews

Spatial extent

Keywords


Provided by

logo

Share on social sites

Access to the portal
Read here the full details and access to the data.

Associated resources

Not available


  •  
  •  
  •