Jackson, T.

A time-series of strains in response to wind measured on 19 trees in Danum Valley, Malaysia

Strain data measured on the trunks of 19 trees in the Danum Valley, Malaysia. It also contains wind speed data measured using anemometers attached to emergent trees nearby. This data can be used to extract the fundamental swaying frequencies of these trees, and to quantify the relationship between wind speed and bending strain and so estimate wind damage risk. This data would be useful for anyone studying the interaction between wind and trees. The tallest tree in this data set is approximately 51 m tall.

Publication date: 2018-12-19

Get the data

This dataset will be available under the terms of the Open Government Licence

Format of the dataset : Tabular

You must cite: Jackson, T. (2018). A time-series of strains in response to wind measured on 19 trees in Danum Valley, Malaysia. NERC Environmental Information Data Centre. https://doi.org/10.5285/657f420e-f956-4c33-b7d6-98c7a18aa07a



Study area
Temporal extent
2016-10-01    to    2017-04-30

Provenance & quality

This data was collected from October 2016 to April 2017 in Danum Valley, Malaysia. The data was initially saved on Campbell data loggers and Raspberry Pis and then transferred to a laptop. The individual data files were consolidated into a single file per data logger and this raw data is provided in the repository. This raw data was calibrated and filtered and the pairs of strain gauges combined into a single per tree bending strain signal. This processed data is also provided in the repository. No processing was necessary for the wind data and this is provided in its raw form.

Correspondence/contact details

Jackson, T.
Oxford University
United Kingdom


Jackson, T.
Oxford University

Other contacts

Environmental Information Data Centre
NERC Environmental Information Data Centre


Spatial representation type
Tabular (text)
Spatial reference system
WGS 84


Topic categories
bending strain,  Biodiversity Climate and climate change strain gauge,  tall trees,  tropical forest,  wind damage risk