Author: Herbario Cord
Keywords: Occurrence, Specimen

Colección de Nymphaeales, Ophioglossales, Oxalidales, Pandanales, Pinales y Piperales del Museo Botánico CORD - IMBIV

Marcelo Gritti^1, Jimena Ponce^1, Pascale Hick^2, Ana Pía Wiemer^1

1 Museo CORD, IMBIV, UNC, CONICET, FCEFyN, Velez Sarsfield 299, 5000, Córdoba, Argentina; 2 Museo CORD,UNC, FCEFyN, Velez Sarsfield 299, 5000, Córdoba, Argentina

Corresponding author(s): Marcelo Gritti (mgritti@imbiv.unc.edu.ar)Jimena Ponce (museo@imbiv.unc.edu.ar), Pascale Hick (pascale@imbiv.unc.edu.ar), Ana Pía Wiemer (apwiemer@imbiv.unc.edu.ar)

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

La colección de Nymphaeales, Ophioglossales, Oxalidales, Pandanales, Pinales y  Piperales  está compuesta por un total de 780 ejemplares de herbario. Georreferenciados: 340 ejemplares. Rango Temporal 1847/2018.

Keywords: Occurrence, Specimen

Data published through GBIF: http://ipt.mincyt.gob.ar/resource?r=nymphaeales-piperales

Spatial coverage

General spatial coverage: Países que abrac la colección: Argentina, Bolivia, Brasil, Chile, España, Guatemala, Paraguay, Perú, Puerto Rico.
Coordinates: 72°23'45.6''S and 44°5'16.8''N Latitude; 106°52'30''W and 21°5'38.4''E Longitude 

Temporal coverage: August 23, 1871 - July 30, 2017

Methods

Method step description: 

Datasets

Dataset description
Object name: Darwin Core Archive Colección de Nymphaeales, Ophioglossales, Oxalidales, Pandanales, Pinales y Piperales del Museo Botánico CORD - IMBIV
Character encoding: UTF-8
Format name: Darwin Core Archive format
Format version: 1.0
Distribution: http://ipt.mincyt.gob.ar/archive.do?r=nymphaeales-piperales
Publication date of data: 2020-06-10
Language: Spanish
Licences of use: Creative Commons Attribution (CC-BY) 4.0 License

Metadata language: Spanish
Date of metadata creation: 2019-06-10
Hierarchy level: Dataset