Checklist of Reptiles of Nimba, Liberia

Benedictus Freeman1

1 Biodiversity Institute, University of Kansas, 1301 West 24th Street, 66046, Lawrence, United States

Corresponding author(s): Benedictus Freeman (benedictusfreeman@gmail.com)

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

Freeman B (2019): Checklist of Reptiles of Nimba, Liberia. v1.0. Forestry Development Authority. Dataset/Checklist. http://197.189.235.147:8080/iptliberia/resource?r=reptiles_of_nimba_liberia_checklist&v=1.0

Abstract

This dataset was collected as part of an environmental impact assessment carried out Arcelor Metal, Liberia in Nimba County, Liberia

Keywords: Checklist, Derivedfromoccurrence

Project details

Project title: Building Capacity for Biodiversity Data Mobilization and Conservation in Liberia
Personnel: Benedictus Freeman

Data published through GBIF: http://197.189.235.147:8080/iptliberia/resource?r=reptiles_of_nimba_liberia_checklist

Taxonomic coverage

General taxonomic coverage description: Reptiles
Taxonomic ranks
Class: Reptalia

Spatial coverage

General spatial coverage: Nimba, Liberia
Coordinates: 6°39'52.59''N and 7°42'49.37''N Latitude; 9°4'28.95''W and 8°10'45.56''W Longitude 

Temporal coverage: 2010

Methods

Method step description: Rapid Assessment
Study extent description: Nimba County
Sampling description: Rapid Assessment

Datasets

Dataset description
Object name: Darwin Core Archive Checklist of Reptiles of Nimba, Liberia
Character encoding: UTF-8
Format name: Darwin Core Archive format
Format version: 1.0
Distribution: http://197.189.235.147:8080/iptliberia/archive.do?r=reptiles_of_nimba_liberia_checklist
Publication date of data: 2019-02-23
Language: English
Licences of use: Creative Commons Attribution (CC-BY) 4.0 License

Metadata language: English
Date of metadata creation: 2019-02-23
Hierarchy level: Dataset