Megachile Rotundata Emergence Timing Data from Four Laboratory Experiments

Individual-level emergence timing data for the alfalfa leafcutting bee collected across four laboratory experiments conducted between 2021 and 2023. The dataset comprises 2,976 bee emergence records from experiments designed to develop and validate a degree-day model for predicting adult emergence timing. It was created by Alex S. Torson and published on figshare.

Use Cases

• Develop degree-day models for bee emergence based on constant-temperature incubation data.
• Validate interrupted development protocols for predicting emergence timing following temperature transfers.
• Assess model generalization across different bee suppliers and years.
• Support commercial incubation management decisions for synchronizing bee emergence with crop bloom.

Strengths

• Contains 2,976 individual bee emergence records.
• Data spans four distinct experiments conducted from 2021 to 2023.
• Includes sex recorded at emergence for each individual.
• Experiments used controlled temperature treatments across six temperatures.

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 temporal and supplier bias inherent to the specific laboratory experiments.

Provenance

Source

Alex S. Torson

Collection Method

Laboratory experiments with controlled temperature incubation.

Time Range

2021-2023

Freshness

Last updated 2026-05-22 15:37:20; freshness should be verified.