ppendemic_tab14: ppendemic_tab14: Endemic Plant Database of Peru

In ppendemic: A Glimpse at the Diversity of Peru's Endemic Plants

ppendemic_tab14: Endemic Plant Database of Peru

Description

The ppendemic_tab14 dataset is a tibble (data frame) that provides easy access to a comprehensive database of Peru's endemic plant species. It contains a total of 7,898 records with essential botanical information, including the accepted name, accepted family, genus, species, infraspecific information, taxon authors, primary author, place of publication, volume and page, publication years, and version details.

Usage

ppendemic_tab14

Format

A tibble (data frame) with 7,898 rows and 18 columns:

taxon_name

Character vector. The accepted name of the endemic plant species.

taxon_status

Character vector. The taxonomic status of the species (e.g., "Accepted").

family

Character vector. The family of the accepted name of the endemic plant species.

genus

Character vector. The genus of the endemic plant species.

species

Character vector. The specific epithet of the endemic plant species.

infraspecific_rank

Character vector. The infraspecific rank (e.g., "subsp.", "var.") when applicable.

infraspecies

Character vector. The infraspecific epithet when applicable.

taxon_authors

Character vector. The author(s) of the accepted name of the endemic plant species.

primary_author

Character vector. The primary author(s) of the publication containing the endemic plant species information.

place_of_publication

Character vector. The place of publication of the endemic plant species information.

volume_and_page

Character vector. The volume and page number of the publication containing the endemic plant species information.

first_published

Character vector. The first published year of the publication containing the endemic plant species information.

year_actual

Numeric vector. The actual year of publication extracted from first_published.

year_nominal

Numeric vector. The nominal year of publication extracted from first_published.

both_years

Character vector. Both actual and nominal years when different, extracted from first_published.

has_different_years

Logical vector. Indicates whether the actual and nominal publication years differ (TRUE when both_years contains the pattern "YYYY|YYYY").

version

Character vector. The version identifier "V-14" of the ppendemic database.

version_date

Character vector. The version date "28-05-2025" indicating when this version was created.

Details

The dataset provides a curated and up-to-date collection of Peru's endemic plant species, gathered from reputable botanical sources and publications. The data for this database was extracted and compiled from the World Checklist of Vascular Plants (WCVP) database, which is a comprehensive and reliable repository of botanical information.

This version (ppendemic_tab14) includes enhanced temporal information with separate numeric fields for actual and nominal publication years. This allows for more precise bibliographic tracking and citation accuracy. The dataset also includes improved infraspecific taxonomy handling with dedicated fields for ranks and epithets.

The year extraction process uses sophisticated pattern matching to distinguish between actual publication years and nominal years, with the has_different_years field automatically flagging records where these differ. This is particularly important for historical botanical publications where publication delays were common.

Source

The dataset has been carefully compiled and updated to offer the latest insights into Peru's endemic plant species. The data is sourced from the World Checklist of Vascular Plants (WCVP) database, an international collaborative programme initiated in 1988 by Rafaël Govaerts that provides high-quality expert-reviewed taxonomic data on all vascular plants.

For detailed methodology, see Govaerts et al. (2021) "The World Checklist of Vascular Plants, a continuously updated resource for exploring global plant diversity" in Nature Scientific Data.

Examples

# Load the package
library(ppendemic)

# Access the dataset
data("ppendemic_tab14")

# View the structure of the dataset
str(ppendemic_tab14)

# View first few rows
head(ppendemic_tab14)

# Check for species with different actual and nominal years
different_years <- subset(ppendemic_tab14, has_different_years == TRUE)
nrow(different_years)

# View records with both years information
head(ppendemic_tab14$both_years[ppendemic_tab14$has_different_years])

ppendemic documentation built on June 9, 2025, 9:08 a.m.