Life-History Traits of Invasive Guppies Across Nine Polluted Populations
by Rudiger Riesch·Updated 19d ago
54.7 KB1files
Available on 1 platform
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Description
Nine populations of invasive guppies (Poecilia reticulata) are documented across a water pollution gradient. The dataset, created by Rudiger Riesch and last updated in May 2026, consists of four worksheets containing morphological, reproductive, and health metrics for individual fish. It includes measurements of standard length, lean mass, fat content, fecundity, embryo development, and indicators of parasites and deformities.
Use Cases
Modeling relationships between environmental pollution and fish health based on presence-absence data for deformed spines and nematodes.
Analyzing trade-offs in reproductive allocation based on fecundity, embryo lean mass, and reproductive allocation (RA) percentages.
Investigating body condition and energy reserves across populations using lean mass and fat content measurements.
Studying embryonic development strategies using embryo dry mass and median stage of development data.
Strengths
Dataset is structured across four distinct worksheets, each focusing on specific biological traits (e.g., male traits, female traits, embryo mass).
Includes detailed individual-level measurements such as standard length (mm), lean mass (mg), and fat content (decimal percent).
Contains derived environmental principal components for each of the nine study populations, linking individual traits to a pollution gradient.
Limitations
Row count is unknown, which may limit suitability assessment for large-scale statistical modeling.
Column-level documentation is absent; field semantics must be inferred from the worksheet descriptions after download.
The dataset is very small at 54.7 KB, indicating a limited scope and sample size.
Provenance
Source
figshare
Collection Method
Likely collected from field sampling of guppy populations across an environmental gradient.
Freshness
Last updated 2026-05-19 10:08:51; freshness should be verified.
Data is provided in a single XLSX file containing four worksheets; users will need spreadsheet software or a library like pandas to access all components.