An inventory of Yoruba useful angiosperms in South West Nigeria

Temitope Onuminya1, Oluwatoyin Ogundipe2

1 University of Lagos, Department of Botany, 23401, Akoka, Nigeria; 2 University of Lagos, DEPARTMENT OF BOTANY, 23401, AKOKA, Nigeria

Corresponding author(s): Temitope Onuminya (tadeyemi@unilag.edu.ng)Oluwatoyin Ogundipe (oogundipe@unilag.edu.ng)

Received {date}; Revised {date}; Accepted {date}; Published {date}

Citation: Combination of authors, year of data paper publication (in parentheses), Title, Journal Name, Volume, Issue number (in parentheses), and doi of the data paper.

Resource Citation

Onuminya T, Ogundipe O (2022): An inventory of Yoruba useful angiosperms in South West Nigeria. v1.0. University of Lagos. Dataset/Checklist. https://ipt-nigeria.gbif.fr/resource?r=swherbs&v=1.0

Abstract

A species checklist comprising an inventory of Yoruba useful angiosperms in South West Nigeria.

Keywords: Checklist, South west, Nigeria, Medicinal Plants, Angiosperms, Inventorythematic

Project details

Project title: Expanding the visibility of the Lagos Herbarium through Digitization and Mobilization of Plant Specimen Data
Personnel: Temitope Onuminya, Victor Oroleke
Funding: GBIF-BID Grant
Study area descriptions/descriptor: Project is domiciled in Lagos, Nigeria

Data published through GBIF: https://ipt-nigeria.gbif.fr/resource?r=swherbs

Taxonomic coverage

General taxonomic coverage description: Collections include Magnoliopsida and Liliopsida.
Taxonomic ranks
Phylum: Tracheophyta

Spatial coverage

General spatial coverage: Collections are from Lagos, Kwara, Ogun, Osun, Ondo, Ekiti and Oyo states of Nigeria
Coordinates: 90°0'0''S and 90°0'0''N Latitude; 180°0'0''W and 180°0'0''E Longitude 

Datasets

Dataset description
Object name: Darwin Core Archive  An inventory of Yoruba useful angiosperms in South West Nigeria
Character encoding: UTF-8
Format name: Darwin Core Archive format
Format version: 1.0
Distribution: https://ipt-nigeria.gbif.fr/archive.do?r=swherbs
Publication date of data: 2022-12-21
Language: English
Licences of use: Creative Commons Attribution (CC-BY) 4.0 License

Metadata language: English
Date of metadata creation: 2022-12-21
Hierarchy level: Dataset