Bishop's University Insect Collection (BUIC)

Colin Favret1, Vincent Lessard2

1 Université de Montréal Biodiversity Centre, 4101 rue Sherbrooke est, H1X 2B2, Montréal, Canada; 2 

Corresponding author(s): Colin Favret (colin.favret@umontreal.ca)

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

Favret C (2018): Bishop's University Insect Collection (BUIC). v2.0. Bishop's University Insect Collection. Dataset/Occurrence. https://doi.org/10.5886/nmcxfj https://doi.org/10.5886/nmcxfj

Abstract

The Bishop's University Insect Collection houses approximately 200,000 specimens, mostly from the Holarctic region, with particular strength in northern and alpine Diptera.

Keywords: BUIC, Bishop's University Insect Collection, Collection entomologique de l'Université Bishop's, Canadensys, Canada; Quebec, collection, specimens; entomology, Occurrence, Specimen, Diptera, Holarctic region, northern and alpine Diptera, Occurrence, Specimen

Data published through GBIF: http://data.canadensys.net/ipt/resource?r=buic-specimens

Taxonomic coverage

General taxonomic coverage description: Entomological collection
Taxonomic ranks
Class: Insecta
Common names: Insects

Spatial coverage

General spatial coverage: Most specimens are form the Holarctic region, with a particular strength in northern and alpine environments. 
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 Bishop's University Insect Collection (BUIC)
Character encoding: UTF-8
Format name: Darwin Core Archive format
Format version: 1.0
Distribution: http://data.canadensys.net/ipt/archive.do?r=buic-specimens
Publication date of data: 2018-07-27
Language: English
Licences of use: Public Domain (CC0 1.0)

Metadata language: English
Date of metadata creation: 2018-02-09
Hierarchy level: Dataset