MUSTB Field Data Collection for Honey Bee Colony Model Evaluation
by Dupont Yoko / Aarhus University
Available on 1 platform
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Description
A collection of field data tables from the MUSTB project for evaluating honey bee colony models. The data includes site information, pesticide application logs, hive inspections, colony management records, botanical surveys, and laboratory analyses of pollen, pesticides, and pathogens. The datasets were collected for the European Food Safety Authority (EFSA) and are provided by researchers from Aarhus University.
Use Cases
Modeling pesticide exposure risk to honey bee colonies based on application event data.
Analyzing the relationship between floral resource abundance and colony fitness metrics.
Evaluating hive management practices and their effects on colony strength and health indicators.
Correlating laboratory analysis results for parasites, pathogens, and pesticide residues with field observations.
Strengths
Data collection follows a structured data model defined for the EFSA project.
Includes multiple related tables covering sites, pesticide applications, hive inspections, and laboratory results.
Underlying data schemas are published in XSD format for validation.
Limitations
Row count and dataset scale are unknown, limiting suitability assessment.
Column-level documentation is absent; field semantics must be inferred from the data model document.
Last update date is unknown; freshness unverified.
Provenance
Source
Aarhus University, collected for the European Food Safety Authority (EFSA).
Collection Method
Field data collection including manual inspections, automatic logging (hive scales, video), and laboratory analysis.
Geography
Sites include polygons for botanical surveys, mostly within 1.5 km (up to 3 km) of experimental colonies.
A newer version of the dataset with coordinates is available via the provided Zenodo link. Some fields in the SSD2 table were left empty as they were not applicable to certain laboratory analyses.