Grapevine Petiole Dehydration Time Series with 42 Semantic Segmentation Masks

Synchrotron X-ray micro-computed tomography enables non-destructive, high-resolution imaging of plant microstructures. This dataset provides raw projection data and reconstructed slices of grapevine petioles undergoing controlled dehydration, imaged at ALS Beamline 8.3.2. It was authored by Pradyumna Elavarthi and last updated in May 2026.

Use Cases

• Training semantic segmentation models for cellular analysis based on the 42 manually annotated masks.
• Studying plant hydraulic resilience based on time-series imaging of controlled dehydration.
• Developing automated pipelines for plant tissue characterization based on high-resolution micro-CT data.

Strengths

• Includes 42 high-resolution manually annotated semantic segmentation masks.
• Data was captured using synchrotron X-ray micro-computed tomography, a non-destructive, high-resolution imaging technique.
• Released under a permissive CC-BY-4.0 license.

Limitations

• The dataset size is listed as 0.0 B, indicating a very limited scope or potential metadata error.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Imaged at ALS Beamline 8.3.2 using synchrotron X-ray micro-computed tomography.

Freshness

Last updated 2026-05-22 06:55:26; freshness should be verified.