Evidence map›Paper›PMID 39300149›Full record

ArticleScientific data2024

Functional traits data for testate amoebae of Northern Holarctic realm.

Jiahui Su, Yuri A Mazei, Andrey N Tsyganov, Viktor A Chernyshov, Alexander A Komarov, Elena A Malysheva, Kirill V Babeshko, Natalia G Mazei, Damir A Saldaev, Boris Levin and 1 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

11 authors.

Jiahui SuShenzhen MSU-BIT University, Shenzhen, 518172, China.ORCID 0000-0003-0611-2962
Yuri A MazeiShenzhen MSU-BIT University, Shenzhen, 518172, China.
Andrey N TsyganovLomonosov Moscow State University, Leninskie Gory 1, Moscow, 119991, Russia.
Viktor A ChernyshovPenza State University, Krasnaya str., 40, Penza, 440026, Russia.
Alexander A KomarovPenza State University, Krasnaya str., 40, Penza, 440026, Russia.
Elena A MalyshevaPenza State University, Krasnaya str., 40, Penza, 440026, Russia.
Kirill V BabeshkoShenzhen MSU-BIT University, Shenzhen, 518172, China.
Natalia G MazeiLomonosov Moscow State University, Leninskie Gory 1, Moscow, 119991, Russia.
Damir A SaldaevShenzhen MSU-BIT University, Shenzhen, 518172, China.
Boris LevinA.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Leninskiy Ave. 33, Moscow, 117071, Russia.
Basil N YakimovShenzhen MSU-BIT University, Shenzhen, 518172, China. damselfly@yandex.ru.

Funding

Russian Science Foundation (RSF) 24-14-00065
6 · The paper itself

Abstract

The functional traits of soil protists have been employed in ecological research to enhance comprehension of the underlying mechanisms of ecological processes. Among the numerous soil protists, testate amoebae emerge as a prominent and abundant group, playing a pivotal role in soil micro-food webs. Furthermore, they are regarded as valuable bioindicators for environmental monitoring and palaeoecological studies due to their sensitivity to environmental changes. We screened 372 testate amoebae species widely distributed across Northern Holarctic realm and collected trait data, representing the morphological and feeding characteristics of testate amoebae. The dataset would provide valuable basis for investigation of the functional diversity and ecological roles of testate amoebae, thus facilitating further research on soil protist communities and ecosystem dynamics.

Indexed as

AmoebaEcosystemFood ChainSoilSoil

Identifiers

PMID39300149
PMCPMC11413188

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.