Tomato Plant Drought Resilience Data with AgNP Treatment and Transcriptomic Analysis

A 2.5 MB dataset from figshare, last updated on 2026-05-04, containing experimental results on tomato plants under drought stress. The data, authored by Svitlana Plokhovska under a CC-BY-4.0 license, includes physiological, biochemical, and transcriptomic measurements from plants treated with silver nanoparticles coated with Pseudomonas N5.12 metabolites.

Use Cases

• Modeling plant growth responses to drought stress based on shoot length, fresh weight, and dry weight metrics.
• Analyzing oxidative stress and antioxidant enzyme activity based on H2O2, MDA, and SOD levels.
• Investigating gene expression profiles related to drought resilience based on transcriptomic analysis results.
• Evaluating the efficacy of nanoparticle-based bioformulations as a drought mitigation tool.

Strengths

• Includes specific quantitative results, such as a 49.3% improvement in fresh weight under drought with AgNP treatment.
• Combines multiple data types: physiological measurements, biochemical assays, and transcriptomic analysis.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• The dataset is small (2.5 MB), potentially limiting the depth of transcriptomic data available.

Provenance

Source

figshare

Collection Method

Experimental data from controlled studies on tomato plants, including physiological measurements and transcriptome analysis.

Time Range

The experimental period is not specified.

Freshness

Last updated 2026-05-04 05:31:10; freshness should be verified.

Geography

The geographic origin of the study or data is not specified.