Cycas Panzhihuaensis Transcriptome Data Under Heat and Drought Stress

Supplementary material from a 2026 study investigating plant stress response mechanisms. The dataset, published by Xiaoqian Sun on figshare, likely contains transcriptomic data related to the photosynthetic system of Cycas panzhihuaensis under combined high-temperature and drought conditions. It is a 63.5 KB Excel file released under a CC-BY-4.0 license.

Use Cases

• Analyze gene expression changes under dual abiotic stress (inferred from domain, verify after download)
• Identify candidate genes involved in photosynthetic repair mechanisms (inferred from domain, verify after download)
• Compare transcriptomic responses between different stress conditions (inferred from domain, verify after download)

Strengths

• Published on figshare with a clear CC-BY-4.0 license.
• File format (XLS) is widely accessible for analysis.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare

Collection Method

Likely derived from transcriptomic sequencing experiments.

Time Range

Study published in 2026.

Freshness

Last updated 2026-04-27 03:51:33; freshness should be verified.

Geography

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