Harvard University Herbaria: Vascular Plants of North America

Jonathan Kennedy1, Michaela Schmull1

1 Harvard University Herbaria, 22 Divinity Ave, 02138, Cambridge, United States

Corresponding author(s): Jonathan Kennedy (jonathan_kennedy@harvard.edu)

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

This dataset contains all digitized North America vascular plant specimen records stewarded by the Harvard University Herbaria. 

The Harvard University Herbaria, with over 5 million specimens, is the world’s largest University Herbaria. Included in the Herbaria are what were once six separate herbarium collections: * Herbarium of the Arnold Arboretum (A) * Economic Herbarium of Oakes Ames (ECON) * Oakes Ames Orchid Herbarium (AMES) * Farlow Herbarium (FH) * Gray Herbarium (GH) * New England Botanical Club Herbarium (NEBC).

DarwinCore data follows the AppleCore guidance https://code.google.com/p/applecore/.

Keywords: Occurrence, Specimen, Occurrence

Data published through GBIF: https://ipt.huh.harvard.edu/ipt/resource?r=huh_vascular_plants_north_america

Spatial coverage

General spatial coverage: The Harvard University Herbaria collections are global in scope with notably rich collections from Asia and North America.

This dataset is a subset of the HUH holdings, restricted to North America vascular specimen records.
Coordinates: 8°24'25.2''N and 84°16'1.2''N Latitude; 171°33'43.2''W and 18°16'51.6''W Longitude 

Methods

Method step description: 

Datasets

Dataset description
Object name: Darwin Core Archive Harvard University Herbaria: Vascular Plants of North America
Character encoding: UTF-8
Format name: Darwin Core Archive format
Format version: 1.0
Distribution: https://ipt.huh.harvard.edu/ipt/archive.do?r=huh_vascular_plants_north_america
Publication date of data: 2022-09-24
Language: English
Licences of use: Creative Commons Attribution (CC-BY) 4.0 License

Metadata language: English
Date of metadata creation: 2019-02-19
Hierarchy level: Dataset