Evidence map›Paper›PMID 35437415›Full record

ArticleBiodiversity data journal2022

Vascular plants occurrences in the Southern Urals industrial towns (Sterlitamak and Salavat).

Yaroslav Golovanov, Larisa Abramova, Mikhail Drap, Maria Lebedeva

Abstract read
In one paragraph

Article in Biodiversity data journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yaroslav GolovanovSouth-Ural Botanical garden-institute, Ufa Federal Scientific Centre, Russian Academy of science, Ufa, Russia South-Ural Botanical garden-institute, Ufa Federal Scientific Centre, Russian Academy of science Ufa Russia.ORCID https://orcid.org/0000-0002-4790-8900
Larisa AbramovaSouth-Ural Botanical garden-institute, Ufa Federal Scientific Centre, Russian Academy of science, Ufa, Russia South-Ural Botanical garden-institute, Ufa Federal Scientific Centre, Russian Academy of science Ufa Russia.ORCID https://orcid.org/0000-0002-3196-2080
Mikhail DrapSouth-Ural Botanical garden-institute, Ufa Federal Scientific Centre, Russian Academy of science, Ufa, Russia South-Ural Botanical garden-institute, Ufa Federal Scientific Centre, Russian Academy of science Ufa Russia.
Maria LebedevaSouth-Ural Botanical garden-institute, Ufa Federal Scientific Centre, Russian Academy of science, Ufa, Russia South-Ural Botanical garden-institute, Ufa Federal Scientific Centre, Russian Academy of science Ufa Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The paper presents datasets of plant species of two industrial cities Sterlitamak and Salavat (Republic of Bashkortostan) is presented. These cities are part of the Southern Bashkortostan urban agglomeration and are amongst the three largest in the Republic. The population of Sterlitamak is about 276,000. There are large oil refineries and other large industrial transport infrastructure facilities. Datasets are prepared on the basis of long-time field research by Ya. Golovanov (2008 - 2016). Technical preparation of the datasets was carried out by M. Lebedeva and M. Drap. The herbarium samples are stored in the herbarium collections of the South Ural Botanical Garden Institute and the Ufa Institute of Biology (UFA). The data paper describes three datasets on species occurrences. It presents occurrences of species in different types of habitats (anthropogenically transformed and semi-natural). The datasets consists of 5,462 occurrence records totally. Most of the records (5,359) are georeferenced. New information: The total number of records in three datasets is 5,462. They contain of vascular plant species occurrences in the two industrial cities of the Southern Urals (Sterlitamak and Salavat). There are both alien and natural species occurrences in different types of habitats (antropogenically transformed and semi-natural).

Indexed as

alien speciesbiodiversityplant speciesRepublic of BashkortostanSalavatSterlitamakthe Southern Uralsurban floravascular plants

Identifiers

PMID35437415
PMCPMC8907157

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.