GLMM Formulas for Species Presence and Activity Across Six Locations

Formulas for generalized linear mixed models with binomial or negative binomial distributions, assessing plot type effects on species presence or activity. The dataset, authored by Chloé Tavernier and last updated in June 2026, contains model specifications performed separately for each species. Location was incorporated as a random variable in the analysis.

Use Cases

• Validate statistical model specifications for ecological studies based on the described GLMM formulas.
• Compare modeling approaches for species presence/absence data based on the binomial distribution models.
• Analyze the effect of different plot types on species activity based on the negative binomial distribution models.
• Incorporate location as a random effect in ecological models based on the described methodology.

Strengths

• Model formulas are explicitly defined for binomial and negative binomial distributions.
• Analysis incorporates location as a random variable across six distinct sites.
• Dataset is shared under a permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 9.5 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Formulas derived from statistical models assessing ecological effects.

Freshness

Last updated 2026-06-01 17:30:52; freshness should be verified.