Acoustic Microrobot Cilia Design Data with FEA Models and Figure Data

461.7 MB of data supporting the manuscript "Machine Learning–Driven Design of Engineered Cilia Enables Hybrid Operations in Acoustic Microrobots". The data includes files for figure drawing and finite element analysis representative models. The dataset was authored by Yun Ling and last updated on 2026-04-29.

Use Cases

• Training machine learning models for cilia design based on the described simulation and experimental data.
• Validating finite element analysis models of engineered cilia using the provided representative models.
• Reproducing figures from the associated manuscript using the included figure drawing data.
• Analyzing the relationship between cilia design parameters and acoustic microrobot performance.

Strengths

• Dataset size is 461.7 MB, indicating a substantial volume of supporting data.
• Includes data for both figure generation and finite element analysis models, covering multiple aspects of the research.
• Released under the permissive CC-BY-4.0 license, allowing for broad reuse and modification.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific analytical tasks.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Data generated for the associated research manuscript.

Freshness

Last updated 2026-04-29 07:02:44; freshness should be verified.