Trait Statistics with Log-Transformed and Original Scale Metrics

A 9.5 KB dataset provides statistical summaries for various traits. It was authored by Pablo Ubilla Pavez and last updated on May 13, 2026. The data includes units of measurement, means, standard deviations, minima, maxima, sample counts, and error metrics for both natural-log transformed and original-scale values.

Use Cases

• Normalizing trait data based on provided log-scale means and standard deviations.
• Assessing measurement error for traits using the supplied Mean Absolute Error (MAE) metric.
• Understanding the distribution of traits via original-scale minimum, maximum, and standard deviation values.
• Selecting traits for analysis based on the number of error samples available.

Strengths

• Provides both log-transformed and original-scale statistics for each trait, facilitating different analytical approaches.
• Includes error metrics such as Mean Absolute Error (MAE) and the number of error samples, which are useful for quality assessment.
• Dataset is small (9.5 KB), making it quick to download and inspect.

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 from the general description.
• The specific traits covered and their source domain are not described, requiring manual inspection.

Provenance

Source

figshare

Freshness

Last updated 2026-05-13 17:44:01; freshness should be verified.