Medical plants of Altai Mountain Country

Alexey Vaganov1, Anastasia Koltunova1, Kristina Medvedeva1, Elizaveta Zholnerova1, Petr Kosachev1

1 Altai State University, Lenina str. 61, 656049, Barnaul, Russian Federation

Corresponding author(s): Alexey Vaganov (vaganov_vav@mail.ru)Anastasia KoltunovaKristina MedvedevaElizaveta ZholnerovaPetr Kosachev (pakosachev@yandex.ru)

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

Vaganov A, Koltunova A, Medvedeva K, Zholnerova E, Kosachev P (2023): Medical plants of Altai Mountain Country. v1.6. Altai State University. Dataset/Occurrence. http://altb.asu.ru/ipt/resource?r=medical_plants_amc&v=1.6

Abstract

The dataset contains a list of medicinal plants of the Altai Mountain Country. The dataset is intended to provide all interested GBIF users with information about AMC medicinal plant species, as well as further search for their growing places using the available datasets.

Keywords: Checklist, Altai Mountainous Country, Russia, Kazakhstan, China, Mongolia, medicinal plants, transboundary territory, Flora Altaica, GeoJSON

Project details

Project title: Flora Altaica
Personnel: Alexey Vaganov

Data published through GBIF: http://altb.asu.ru/ipt/resource?r=medical_plants_amc

Taxonomic coverage

Common names: Plantae

Spatial coverage

General spatial coverage: Altai Mountainous Country (Russia, Kazakhstan, China and Mongolia)
Coordinates: 43°15'39,6''N and 55°43'37,2''N Latitude; 79°0'50,4''E and 102°34'4,8''E Longitude 

Methods

Method step description: 

Datasets

Dataset description
Object name: Darwin Core Archive Medical plants of Altai Mountain Country
Character encoding: UTF-8
Format name: Darwin Core Archive format
Format version: 1.0
Distribution: http://altb.asu.ru/ipt/archive.do?r=medical_plants_amc
Publication date of data: 2023-02-20
Language: English
Licences of use: Creative Commons Attribution Non Commercial (CC-BY-NC) 4.0 License

Metadata language: English
Date of metadata creation: 2021-06-10
Hierarchy level: Dataset