Bee bread samples from 24 hives in Papua New Guinea were analyzed for fatty acid concentration and diversity using GCMS and DNA metabarcoding. The data includes methyl ester derivatives (FAMEs) and shows fatty acids consisted of 43% saturated and 57% unsaturated lipids. This dataset was authored by Chris Cannizzaro and last updated on 2026-04-20.
Use Cases
- Compare fatty acid profiles between forest and non-forest landscapes based on the described landscape comparison.
- Analyze the relationship between floral diversity and total FAME diversity as highlighted in the description.
- Investigate the nutritional implications of specific fatty acids like lauric, myristic, palmitoleic, and stearic acids for honeybee health.
- Model the impact of landscape composition on antimicrobial properties and wax production compounds in bee colonies.
Strengths
- Data is derived from 24 distinct hive samples, providing a basis for comparison.
- Analysis includes specific biochemical percentages: 43% saturated and 57% unsaturated fatty acids.
- Multiple analytical methods are used: GCMS for chemistry and DNA metabarcoding for floral origin.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- The dataset is very small (7.4 KB), indicating limited scope.
Provenance
- Source
- figshare
- Collection Method
- Bee bread samples analyzed using GCMS and DNA metabarcoding.
- Freshness
- Last updated 2026-04-20 11:44:38; freshness should be verified.
- Geography
- Papua New Guinea