Fungal Specimens collected by HabitatVision (Jacob Heilmann-Clausen)

Isabel Calabuig1, Isabel Calabuig2

1 Danish Biodiversity Information Facility (DanBIF), Natural History Museum of Denmark, Universitetsparken 15, 2100, Copenhagen, Denmark; 2 Danish Biodiversity Information Facility (DanBIF), Natural History Museum of Denmark, Universitetsparken 15, 2100, Copenhagen, Denmark

Corresponding author(s): Isabel Calabuig (ICalabuig@snm.ku.dk)

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.

Abstract

Data provided by HabitatVision (http://www.habitatvision.dk/). Consultants in biological and environmental issues. Specimens of fungi collected by Jacob Heilmann-Clausen. The main part of the specimens are deposited at Natural History Museum of Denmark, Botanical Museum, Copenhagen (C) and available through that institution.

Keywords: Occurrence

Data published through GBIF: http://danbif.au.dk/ipt/resource?r=ds6

Taxonomic coverage

Taxonomic ranks
Kingdom: Fungi

Spatial coverage

General spatial coverage: The data were collected in numerous European countries, from Finland in north-east to Spain in south-west. Many occurences from Denmark.
Coordinates: 36°8'60''N and 71°35'24''N Latitude; 10°41'60''W and 32°30'0''E Longitude 

Temporal coverage: July 28, 1961 - September 12, 2006

Datasets

Dataset description
Object name: Darwin Core Archive Fungal Specimens collected by HabitatVision (Jacob Heilmann-Clausen)
Character encoding: UTF-8
Format name: Darwin Core Archive format
Format version: 1.0
Distribution: http://danbif.au.dk/ipt/archive.do?r=ds6
Publication date of data: 2016-12-20
Language: English
Licences of use: This work is licensed under a <a href="http://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution (CC-BY) 4.0 License</a>.

Metadata language: English
Date of metadata creation: 2012-11-07
Hierarchy level: Dataset