Aristolochia Floral Fungi, Pollinator, and VOC Data from Experimental Treatments
by Si-Hyun Park·Updated 1mo ago
29.7 KB1files
Available on 1 platform
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Description
Raw experimental data from a study on tripartite scent-mediated interactions among floral fungi, pollinators, and the trap flower Aristolochia contorta. The dataset includes measurements of floral volatile organic compounds (VOCs), fungal isolation results, fungicide treatment effects, arthropod visitation records, pollinator community composition, and reproductive traits under treated and untreated conditions. It was authored by Si-Hyun Park and last updated on 2026-05-20.
Use Cases
Modeling the effect of fungicide treatments on pollinator visitation based on experimental condition data.
Analyzing correlations between floral volatile organic compound (VOC) profiles and fungal presence.
Studying pollinator community composition in relation to manipulated floral traits.
Investigating the relationship between arthropod visitation records and plant reproductive traits.
Strengths
Data is explicitly linked to a published study on tripartite ecological interactions.
Covers multiple related data types including VOCs, fungal isolation, and pollinator records.
Released under a permissive CC-BY-4.0 license for reuse.
Limitations
Dataset is small at 29.7 KB, indicating limited scope or sample size.
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment for large-scale analyses.
Provenance
Source
figshare, authored by Si-Hyun Park.
Collection Method
Experimental data collected for a study on floral fungi and pollinator interactions.
Freshness
Last updated 2026-05-20 13:50:54; freshness should be verified.
Data is provided in XLSX format, requiring software like Excel or a compatible library to open.