Antibacterial, Antiviral, and Antifungal Efficacy Data for Non-Porous Materials

70.8 KB of experimental data underpins a peer-reviewed publication in Applied and Environmental Microbiology. The dataset, authored by James Redfern, supports the 'simulated splash method' for assessing material efficacy. It was last updated on June 2, 2026, and is shared under an ODC-BY 1.0 license.

Use Cases

• Training models to predict material efficacy based on experimental results from the simulated splash method.
• Benchmarking new antimicrobial materials against the performance data for non-porous surfaces.
• Analyzing correlations between material properties and antibacterial, antiviral, or antifungal activity.
• Reproducing or validating the statistical analyses from the associated peer-reviewed publication.

Strengths

• Data is directly linked to a peer-reviewed publication in Applied and Environmental Microbiology.
• The dataset is small (70.8 KB), facilitating quick download and inspection.
• It has a clear, permissive license (ODC-BY 1.0) for reuse.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 70.8 KB size indicates a very limited scope, likely containing summary or sample-level results.

Provenance

Source

figshare, associated with the publication 'Assessing antibacterial, antiviral and antifungal efficacy of non-porous materials using small droplet transfer: the simulated splash method'.

Collection Method

Likely contains experimental results from laboratory tests using the described simulated splash method.

Freshness

Last updated 2026-06-02 16:11:07; freshness should be verified.