Universidad de Barcelona (Facultad de Biología): Plantas vasculares del valle de Son del Pi y áreas colindantes

Josep M Ninot Sugrañes1, Josep M Ninot Sugrañes2

1 Faculty of Biology, University of Barcelona, , Spain; 2 

Corresponding author(s): Josep M Ninot Sugrañes (jninot@ub.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.

Resource Citation

Faculty of Biology, University of Barcelona. Universidad de Barcelona. Grup dInvestigació Geobotánica i Cartografia de la Vegetació. Occurrence Dataset https://doi.org/10.15468/10zm7v accessed via GBIF.org on 2018-02-06.

Abstract

Datos de flora vascular incluidos en la colección Flora de Son i la Mata de València; algunos de los registros corresponden a muestras de herbario (depositadas en BCN), y el resto a observaciones de campo.
Note: this dataset was previously orphaned. It has been rescued by ① extracting it from the GBIF.org index (see GBIF Download in External Data) and ② republishing it on this IPT data hosting centre as version 1.0.

Keywords: Occurrence

Data published through GBIF: https://ipt.gbif.es/resource?r=ub-geoveg-vascular

Datasets

Dataset description
Object name: Darwin Core Archive Universidad de Barcelona (Facultad de Biología): Plantas vasculares del valle de Son del Pi y áreas colindantes
Character encoding: UTF-8
Format name: Darwin Core Archive format
Format version: 1.0
Distribution: https://ipt.gbif.es/archive.do?r=ub-geoveg-vascular
Publication date of data: 2020-06-18
Language: English
Licences of use: Creative Commons Attribution (CC-BY) 4.0 License

External datasets

Dataset description
Object name: GBIF Occurrence Download
Character encoding: UTF-8
Format name: Darwin Core Archive
Distribution: http://api.gbif.org/v1/occurrence/download/request/0002012-180131172636756.zip

Metadata language: English
Date of metadata creation: 2018-02-06
Hierarchy level: Dataset