Bumble Bee Microcolony Performance with Yeast Treatments and Metabolomics

Data from a factorial experiment testing the effects of live yeasts and their metabolic products on Bombus impatiens microcolony performance. The dataset includes measurements of survival, reproduction, pathogen presence, and untargeted metabolomics analysis of nectar and pollen chemical composition. It was authored by Danielle Rutkowski and last updated on April 22, 2026.

Use Cases

• Analyze the impact of yeast treatments on bee reproduction and survival based on the described factorial experiment.
• Investigate correlations between yeast supplementation and Aspergillus pathogen prevalence mentioned in the description.
• Study changes in nectar and pollen chemical composition using the untargeted metabolomics data referenced.
• Model context-dependent effects of dietary supplements on bee hosts as suggested by the experimental results.

Strengths

• Dataset is licensed as CC0-1.0, allowing for maximum reuse and redistribution.
• Includes multiple data types: experimental performance metrics and untargeted metabolomics data as described.
• Last update timestamp is precisely recorded as 2026-04-22 06:38:01.

Limitations

• Row count and column definitions are unknown, limiting suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset size is listed as 0.0 B, indicating a very limited scope or potential metadata issue.

Provenance

Source

Danielle Rutkowski via figshare.

Collection Method

Factorial laboratory experiment on Bombus impatiens microcolonies.

Freshness

Last updated 2026-04-22 06:38:01; freshness should be verified.