Author ORCID Identifier
https://orcid.org/0000-0002-1759-738X
https://orcid.org/0009-0006-5447-887X
N/A
N/A
Description
Applied forces and measured strains from a 3D printed resin model of the femoral field of companiform sensilla from the fruit fly Drosophila melanogaster. For a full description, please see the abstract of the associated paper:
Dinges GF, Zyhowski WP, Lucci A, Friend J, Szczecinski NS (2023) Mechanical modeling of mechanosensitive insect strain sensors as a tool to investigate exoskeletal interfaces. Bioinspiration & Biomimetics.
Document Type
Dataset
DCMI Type
Text
File Format(s)
.png, .avi, .csv, .txt
Publication Date
11-7-2023
Award Number
NSF DBI 2015317 as part of the NSF/CIHR/DFG/FRQ/UKRI-MRC Next Generation Networks for Neuroscience Program; NSF IIS 2113028 as part of the Collaborative Research in Computational Neuroscience Program; DFG DI 2907/1-1 (Project number 500615768) as part of the Walter Benjamin Postdoctoral Fellowship Program
Award Title
Communication, coordination, and control of neuromechanical systems; Experimental, Numerical, and Robotic Study of the Role of Dynamic Load Sensing in Legged Locomotion; Instrumentation of biomimetic strain sensors in walking robots
Methodology
Please see the methods from the associated paper:
Dinges GF, Zyhowski WP, Lucci A, Friend J, Szczecinski NS (2023) Mechanical modeling of mechanosensitive insect strain sensors as a tool to investigate exoskeletal interfaces. Bioinspiration & Biomimetics.
Referenced by
Dinges GF, Zyhowski WP, Lucci A, Friend J, Szczecinski NS (2023) Mechanical modeling of mechanosensitive insect strain sensors as a tool to investigate exoskeletal interfaces. Bioinspiration & Biomimetics.
License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Dinges, G. F., Zyhowski, W. P., Lucci, A., Friend, J., & Szczecinski, N. S. (2023). "Raw Data for Mechanical Modeling of Mechanosensitive Insect Strain Sensors as a Tool to Investigate Exoskeletal Interfaces." WVU Datasets. West Virginia University Libraries. https://doi.org/10.33915/datasets.2