Jackson, T.D.; Bittencourt, P.; Coomes, D.A.
        
        Bending strains on the trunks of trees on Barro Colorado Island, Panama, 2022
         https://doi.org/10.5285/f03806fa-3596-4119-90c5-70254f39cfc0
        
       
            Cite this dataset as: 
            
           
          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
             
             
            
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         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 available under the terms of the Open Government Licence 
 
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  wget --user=YOUR_USERNAME --password=YOUR_PASSWORD --auth-no-challenge https://catalogue.ceh.ac.uk/datastore/eidchub/f03806fa-3596-4119-90c5-70254f39cfc0
          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.
         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.
           Publication date: 2023-10-25
          
         View numbers valid from 25 October 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)
           
          Format
Comma-separated values (CSV)
Spatial information
          Study area
         
         
          Spatial representation type
         
         
          Tabular (text)
         
        
          Spatial reference system
         
         
          WGS 84 / Pseudo-Mercator
         
        Temporal information
          Temporal extent
         
         2022-01-01    to    2022-12-31
          
         Provenance & quality
         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.
       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.
Licensing and constraints
 This dataset is available under the terms of the Open Government Licence 
 
         Cite this dataset as: 
         
       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
          
          
         
        Related
Correspondence/contact details
Authors
Other contacts
          Rights holder
         
         
           University of Cambridge
          
         
          Custodian
         
         
            NERC EDS Environmental Information Data Centre
           
  info@eidc.ac.uk
          
          Publisher
         
         
            NERC EDS Environmental Information Data Centre
           
  info@eidc.ac.uk
          
      
 https://orcid.org/0000-0001-8143-6161