Physiological and Transcriptomic Response of Cranberry to Drought Stress

A dataset containing physiological and transcriptomic measurements from cranberry plants subjected to four levels of drought stress. The data includes results from paraffin sectioning, chlorophyll fluorescence, spectrophotometry, and transcriptome sequencing of 58,020 single genes. The dataset was created by Fanfan Chen and last updated on May 7, 2026.

Use Cases

• Analyze changes in photosynthetic performance based on chlorophyll fluorescence and oxygen release data.
• Identify differentially expressed genes involved in drought response pathways based on transcriptome sequencing.
• Correlate anatomical leaf structure changes with oxidative stress indicators like MDA and H2O2 levels.
• Model the relationship between stomatal morphology and drought severity based on paraffin section observations.

Strengths

• Combines multiple measurement techniques: paraffin sectioning, chlorophyll fluorescence, spectrophotometry, and transcriptome sequencing.
• Transcriptome sequencing identified 58,020 single genes and 55 continuously differentially expressed genes.
• License is CC-BY-4.0, allowing for open reuse and redistribution.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Dataset size is 12.6 KB, indicating a very limited scope of data.

Provenance

Source

figshare

Collection Method

Experimental study using cranberry cultivar 'Bain 11' under controlled pot treatments.

Freshness

Last updated 2026-05-07 04:37:27; freshness should be verified.