Bird Song Sharing and Geographic Distance Meta-Analysis Data

Meta-analysis data investigating the relationship between bird song sharing and geographic distance across multiple species. The dataset likely contains aggregated study results on song sharing, migratory tendency, song complexity, dichromatism, and habitat type. Created by Mónika Jablonszky and last updated in May 2026, the 544.7 KB collection includes files in R, TXT, NEX, and CSV formats.

Use Cases

• Analyze the correlation between song sharing and geographic distance based on the primary relationship investigated.
• Model the effect of habitat type (urban, rural, natural) on song sharing patterns based on the described variable.
• Investigate the role of dichromatism as a proxy for sexual selection strength in song sharing based on the described analysis.
• Test hypotheses about the impact of migratory status on vocal learning and similarity based on the described variable.

Strengths

• Data is licensed under CC-BY-4.0, allowing for broad reuse and sharing.
• Includes data from a meta-analysis, which synthesizes findings from multiple primary studies.
• Files are provided in multiple formats (R, TXT, NEX, CSV) for flexibility in analysis.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's 544.7 KB size indicates a limited scope, suitable for analysis but not for training large models.

Provenance

Source

figshare

Collection Method

Aggregated from a meta-analysis of existing studies on bird song sharing.

Freshness

Last updated 2026-05-27 11:49:07; freshness should be verified.

Geography

Geographic coverage is implied by the study of geographic variation but specific regions are not stated.