Subterranean Animal Activity Patterns from Field Data Using Bayesian Models

Elia Lo Parrino's dataset provides a framework for assessing temporal activity variation in subterranean animals using detection probability as a proxy. The data, last updated on 2026-04-28, includes case studies on species like Proteus anguinus and Niphargus sp. derived from repeated field surveys. The 18.6 MB collection contains files in formats including RDATA, TXT, JPEG, R, and CSV.

Use Cases

• Modeling detection probability as a proxy for biological rhythms based on the described Bayesian occupancy framework.
• Assessing temporal activity patterns in stable subterranean environments using repeated survey data mentioned in the description.
• Comparing rhythmicity across different taxa like Proteus anguinus and Niphargus sp. as outlined in the case studies.
• Applying non-invasive monitoring strategies for sensitive ecosystems as suggested by the methodological framework.

Strengths

• Includes data from three distinct case study species (Proteus anguinus, Niphargus sp., Spelaeomysis bottazzii).
• Provides a flexible framework adaptable to quantitative, qualitative, or semi-quantitative data types as described.
• Dataset is 18.6 MB in size and available under a CC-BY-4.0 license.

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

Field-based surveys and Bayesian occupancy/abundance modeling as described in the framework.

Freshness

Last updated 2026-04-28 07:14:52; freshness should be verified.