Bioluminescent Sentinel Plant Data for Autonomous Viral Diagnostics

Raw data supporting a 2026 Nature Communications article on engineered biosensor plants. The dataset includes files totaling 6.9 GB, published under a CC-BY-4.0 license by author Marta Vazquez-Vilar. It supports research into autonomous viral sensing using a bioluminescent platform in Nicotiana benthamiana.

Use Cases

• Training image classification models for viral infection based on bioluminescent color shifts described in the article.
• Analyzing infection dynamics using spatially resolved tracking data from the fungal bioluminescence pathway.
• Developing multiplexed biosensor strategies based on the modular, protease-responsive circuit design.
• Benchmarking low-cost imaging techniques for detecting spectral changes in plant luminescence.

Strengths

• Dataset size is 6.9 GB, indicating substantial raw data.
• Data is directly linked to a peer-reviewed article in Nature Communications (2026).
• License is clearly stated as CC-BY-4.0, facilitating reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect experimental bias inherent to the specific lab and plant model used.

Provenance

Source

figshare

Collection Method

Experimental data from engineered Nicotiana benthamiana plants.

Freshness

Last updated 2026-06-01 11:10:08.