Bird Functional Diversity Risk Under Climate Change Using Deep Hurdle Models

Bird communities' functional diversity risk assessment using applied deep hurdle models. Liying Li created this dataset, which was last updated on April 25, 2026. The dataset is 9.0 MB in size and includes CSV and NPZ file formats.

Use Cases

• Modeling climate change impacts on bird communities based on functional diversity metrics
• Training deep hurdle models for ecological risk assessment based on bird community data
• Analyzing relationships between climate variables and functional diversity loss

Strengths

• Dataset is 9.0 MB in size, indicating a manageable download.
• Files are available in CSV and NPZ formats, offering flexibility for different analysis tools.
• License is CC-BY-4.0, allowing for open sharing and reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Applied deep hurdle models to assess climate change impacts.

Freshness

Last updated 2026-04-25 21:42:32; freshness should be verified.