Biofilm Deformation and Clogging Data Under Stepwise Flow Loading

Figshare dataset by Haoran Kong contains processed experimental data for biofilm clogging and deformation in a microfluidic porous medium. It includes processed image sequences, digital image correlation-derived displacement data, and inlet pressure measurements from stepwise flow loading experiments. The data supports reproducibility of image-based deformation analysis and data-driven modeling described in the associated manuscript.

Use Cases

• Analyze biofilm morphology changes from processed experimental image sequences to quantify deformation under flow.
• Train a model to predict inlet pressure response using DIC-derived displacement field data as input features.
• Validate fluid dynamics simulations by comparing simulated clogging patterns against experimental image sequences and pressure data.
• Develop computer vision algorithms for segmenting biofilm structures in porous media from the provided image sequences.

Strengths

• Includes three distinct data types: image sequences, displacement fields, and pressure measurements for integrated analysis.
• Data is processed and organized specifically for downstream analysis and model development.
• Released under a permissive CC BY 4.0 license, facilitating reuse and sharing.

Limitations

• Raw microscopy videos are excluded due to file size, requiring separate request from the author.
• Dataset scale is limited to 76.1 MB, suggesting a constrained experimental scope or sample count.
• Unknown row and column counts for the tabular components (e.g., DIC, pressure data) limit assessment of statistical power.

Provenance

Source

Haoran Kong via Figshare.

Collection Method

Processed experimental data from microfluidic porous medium studies, including image sequences, Digital Image Correlation (DIC), and pressure measurements.

Time Range

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Freshness

Last updated March 2026.

Geography

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