Supporting data for "Wind speed inference from environmental flow-structure interactions. Part 2. Leveraging unsteady kinematics", Flow, 2022

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Abstract/Contents

Abstract
This data accompanies Cardona JL, Dabiri JO (2022) “Wind speed inference from environmental flow-structure interactions, part 2: leveraging unsteady kinematics,” Flow 2: E1. The dataset includes videos of a Magnolia grandiflora moving in response to wind, as well as the corresponding wind speed measurements. The post-processed tree deflection measurements are also available here. Example code is provided to show how the video frames were processed.

Description

Type of resource Dataset, still image, moving image
Date created August 2018
Date modified February 3, 2022; December 5, 2022
Publication date January 19, 2022; January 10, 2022

Creators/Contributors

Author Cardona, Jennifer
Author Dabiri, John

Subjects

Subject wind
Subject Trees
Subject Fluid-structure interaction
Subject visual anemometry
Genre Data
Genre Image
Genre Data
Genre Field recording
Genre Video recording
Genre Data sets
Genre Dataset
Genre Field recordings

Bibliographic information

Related item
Location https://purl.stanford.edu/mg505cc6103

Access conditions

Use and reproduction
User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
License
This work is licensed under a Creative Commons Attribution 4.0 International license (CC BY).

Preferred citation

Preferred citation
Cardona JL, Dabiri JO (2022) “Wind speed inference from environmental flow-structure interactions, part 2: leveraging unsteady kinematics,” Flow 2: E1.

Collection

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