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Bending strains on the trunks of trees on Barro Colorado Island, Panama, 2022

This dataset contains time-series measurements of trees bending in the wind. The data was collected in 2022 in Barro Colorado Island, Panama. 105 trees were measured, with two sensors per tree recording bending strains at 4 Hz. This data was collected for the purpose of estimating the risk of wind damage to these trees. It could also be used to estimate the fundamental sway frequencies of the trees, and how they change over time, which varies with leaf phenology and tree water content. There are lots of short data gaps due to transmission issues in the forest. Full details about this dataset can be found at https://doi.org/10.5285/f03806fa-3596-4119-90c5-70254f39cfc0

Simple

Date (Publication)
2023-10-25
Citation identifier
https://catalogue.ceh.ac.uk/id/f03806fa-3596-4119-90c5-70254f39cfc0
Citation identifier
doi: / 10.5285/f03806fa-3596-4119-90c5-70254f39cfc0
Other citation details

Jackson, T.D., Bittencourt, P., Coomes, D.A. (2023). Bending strains on the trunks of trees on Barro Colorado Island, Panama, 2022. NERC EDS Environmental Information Data Centre 10.5285/f03806fa-3596-4119-90c5-70254f39cfc0

Point of contact
Organisation name Individual name Electronic mail address Role

University of Cambridge

Jackson, T.D.

tobydjackson@gmail.com

Author

University of Exeter

Bittencourt, P.

paulo09d@gmail.com

Author

University of Cambridge

Coomes, D.A.

Dac18@cam.ac.uk

Author

University of Cambridge

Jackson, T.

tobydjackson@gmail.com

Point of contact
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Custodian
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Publisher
University of Cambridge

tobydjackson@gmail.com

Owner

GEMET - Concepts, version 4.1.3

  • ecology
  • forest
  • wind
  • tree
  • risk

GeoNames

  • Panama
  • Barro Colorado Island
Keywords
  • Hydrology
  • Bending strain

  • Tree mortality

Access constraints
Other restrictions
Other constraints
no limitations
Use constraints
Other restrictions
Other constraints
This resource is available under the terms of the Open Government Licence
Use constraints
Other restrictions
Other constraints

If you reuse this data, you should cite: Jackson, T.D., Bittencourt, P., Coomes, D.A. (2023). Bending strains on the trunks of trees on Barro Colorado Island, Panama, 2022. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/f03806fa-3596-4119-90c5-70254f39cfc0

Spatial representation type
Text, table
Language
English
Character set
UTF8
Topic category
  • Environment
Begin date
2022-01-01
End date
2022-12-31
N
S
E
W
thumbnail




Unique resource identifier
WGS 84 / Pseudo-Mercator
Distribution format
Name Version

Comma-separated values (CSV)

Distributor contact
Organisation name Individual name Electronic mail address Role

NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Distributor
OnLine resource
Protocol Linkage Name
https://catalogue.ceh.ac.uk/datastore/eidchub/f03806fa-3596-4119-90c5-70254f39cfc0

Download the data

OnLine resource
Protocol Linkage Name
https://data-package.ceh.ac.uk/sd/f03806fa-3596-4119-90c5-70254f39cfc0.zip

Supporting information

Hierarchy level
Dataset
Other

dataset

Conformance result

Title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication)
2010-12-08
Statement

Bending strain sensors were designed and installed on the trees in Barro Colorado Island, Panama. These sensors recorded the bending strain (in mV) at 4 Hz resolution and transmitted it (in binary format) to a data logger where it was saved on an SD. The data was collected from the SD cards and converted from binary format to csv files. The mV measurements were converted to bending strain by multiplying by a fixed calibration coefficient. This 4 Hz bending strain data is provided here.

Metadata

File identifier
f03806fa-3596-4119-90c5-70254f39cfc0 XML
Metadata language
English
Character set
8859 Part 1
Hierarchy level
Dataset
Hierarchy level name

dataset

Date stamp
2025-11-13T16:20:22
Metadata standard name
UK GEMINI
Metadata standard version

2.3

Metadata author
Organisation name Individual name Electronic mail address Role
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Point of contact
 
 

Overviews

Spatial extent

thumbnail

Keywords



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