Evidence map›Paper›PMID 34108483›Full record

ArticleScientific data2021

Updating salamander datasets with phenotypic and stomach content information for two mainland Speleomantes.

Enrico Lunghi, Fabio Cianferoni, Simone Giachello, Yahui Zhao, Raoul Manenti, Claudia Corti, Gentile Francesco Ficetola

Abstract readDataset
In one paragraph

Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Inferring onAnimals : an open access journal from MDPI · 2023
    Article
  3. Article
  4. 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

7 authors.

Enrico LunghiKey Laboratory of the Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beichen West Road 1, 100101, Beijing, China. enrico.arti@gmail.com.ORCID http://orcid.org/0000-0002-4228-2750
Fabio CianferoniMuseo di Storia Naturale, Università degli Studi di Firenze, Via Romana 17, 50125, Firenze, Italy.ORCID http://orcid.org/0000-0003-3170-0774
Simone GiachelloDipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, via Celoria 26, 20133, Milano, Italy.
Yahui ZhaoKey Laboratory of the Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beichen West Road 1, 100101, Beijing, China. zhaoyh@ioz.ac.cn.ORCID http://orcid.org/0000-0002-4615-596X
Raoul ManentiDipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, via Celoria 26, 20133, Milano, Italy.ORCID http://orcid.org/0000-0001-6071-8194
Claudia CortiMuseo di Storia Naturale, Università degli Studi di Firenze, Via Romana 17, 50125, Firenze, Italy.
Gentile Francesco FicetolaDipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, via Celoria 26, 20133, Milano, Italy.ORCID http://orcid.org/0000-0003-3414-5155

Funding

National Natural Science Foundation of China (National Science Foundation of China) NSFC- 31972868
6 · The paper itself

Abstract

European plethodontid salamanders (genus Speleomantes; formerly Hydromantes) are a group of eight strictly protected amphibian species which are sensitive to human-induced environmental changes. Long-term monitoring is highly recommended to evaluate their status and to assess potential threats. Here we used two low-impact methodologies to build up a large dataset on two mainland Speleomantes species (S. strinatii and S. ambrosii), which represents an update to two previously published datasets, but also includes several new populations. Specifically, we provide a set of 851 high quality images and a table gathering stomach contents recognized from 560 salamanders. This dataset offers the opportunity to analyse phenotypic traits and stomach contents of eight populations belonging to two Speleomantes species. Furthermore, the data collection performed over different periods allows to expand the potential analyses through a wide temporal scale, allowing long-term studies.

Indexed as

CaudataEndangered SpeciesGastrointestinal ContentsAnimalsFranceItalyPhenotype

Identifiers

PMID34108483
PMCPMC8190193

What OpenQuestion holds

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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.