Provides a curated collection of biodiversity and species-related datasets (birds, plants, reptiles, turtles, mammals, bees, marine data and related biological measurements), together with small utilities to load and explore them. The package gathers data sourced from public repositories (including Kaggle and well-known ecological/biological R packages) and standardizes access for researchers, educators, and data analysts working on biodiversity, biogeography, ecology and comparative biology. It aims to simplify reproducible workflows by packaging commonly used example datasets and metadata so they can be easily inspected, visualized, and used for teaching, testing, and prototyping analyses.
The BioWorldR package provides a curated collection of biodiversity and species-related datasets, covering a wide range of taxa including birds, plants, reptiles, turtles, mammals, bees, and marine organisms. By gathering and standardizing these datasets from public repositories and ecological R packages, it enables researchers, educators, and students to easily access well-documented examples for use in biodiversity, ecology, biogeography, and comparative biology.
You can install the BioWorldR package from CRAN with the following R function:
install.packages("BioWorldR")
After installation, load the package and start exploring and using its functions and datasets.
library(BioWorldR)
Each dataset in BioWorldR is labeled with a suffix to indicate its structure and type:
_df: A data frame
_list: A list
_tbl_df: A tibble
These datasets encompass a wide variety of formats and content, including species occurrence records, trait measurements, ecological interactions, population dynamics, and conservation-related information. By centralizing well-documented examples, BioWorldR simplifies teaching, prototyping, reproducible workflows, and exploratory analyses in the biological sciences.
Reptiles_df: This dataset contains the valid names and url addresses for all reptile species cataloged in The Reptile Database
Gorillas_df: Chest-beating rates in Gorillas.
Brain_animals: Brain weight versus body weight of 28 animals
# Load the package
library(BioWorldR)