Rice Seedling Metabolite Data for Hydrogen Sulfide and Thiocyanate Stress Response

A metabolomics dataset from a study investigating how hydrogen sulfide alleviates thiocyanate stress in rice seedlings. The data was generated by Meng-Hua Chen and published on figshare under a CC-BY-4.0 license in April 2026. It likely contains measurements from biochemical analysis, widely-targeted metabolomics, and weighted gene coexpression network analysis (WGCNA).

Use Cases

• Analyzing tissue-specific reprogramming of carbon and nitrogen metabolism based on the described metabolic network reconfiguration.
• Investigating core metabolic hubs like purine and riboflavin metabolism in roots based on the study's findings.
• Studying the synthesis of flavonoids, phenolic acids, and terpenoids in shoots based on the described metabolic remodeling.
• Modeling the relationship between hydrogen sulfide application and antioxidant/detoxification capacity in plants based on the described mechanisms.

Strengths

• Data is associated with a detailed study published in 2026, suggesting recent research relevance.
• The dataset is shared under a permissive CC-BY-4.0 license, allowing for broad reuse.
• The study employed an integrated approach combining biochemical analysis, metabolomics, and WGCNA, suggesting multi-modal data generation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (294.9 KB), indicating a limited scope, likely focused on summary or key results rather than raw experimental data.

Provenance

Source

figshare

Collection Method

Data likely generated from laboratory experiments on rice seedlings involving biochemical analysis, widely-targeted metabolomics, and weighted gene coexpression network analysis (WGCNA).

Freshness

Last updated 2026-04-27 04:14:32