Dataset generated in a systematic review and meta-analysis of biological clocks as age estimation markers in animal ecology.

Age determination Animals Biological clocks Biomarker Epigenetics Meta-analysis Methylation Telomeres

Journal

Data in brief
ISSN: 2352-3409
Titre abrégé: Data Brief
Pays: Netherlands
ID NLM: 101654995

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 08 09 2023
revised: 18 09 2023
accepted: 19 09 2023
medline: 12 10 2023
pubmed: 12 10 2023
entrez: 12 10 2023
Statut: epublish

Résumé

The dataset comprises a comprehensive systematic review and meta-analysis exploring the utility of biological clocks as age estimation markers in the context of animal ecology. The systematic review adhered to PRISMA guidelines and employed optimized Boolean search strings to retrieve relevant studies from Scopus and Dimensions databases. A total of 78 methylation studies and 108 telomere studies were included after rigorous screening. Effect sizes were computed, and statistical transformations were applied when necessary, ensuring compatibility for meta-analysis. Data from these studies were meticulously collected, encompassing statistical measures, study attributes, and additional biological information. The dataset comprises several folders, carefully organized to facilitate access and understanding. It contains raw and processed data used in the systematic review and meta-analysis, including Boolean search strings, database search results, citation network analysis data, PRISMA statements, extracted study data, and input data for meta-analysis. Each folder's contents are described in detail, ensuring clarity and reusability. This dataset aggregates primary research studies spanning diverse ecosystems and taxa, providing a valuable resource for researchers, biodiversity managers and policymakers. This dataset offers a wealth of information and analysis potential for researchers studying age estimation markers in animal ecology, serving as a robust foundation for future investigations and reviews in this evolving field.

Identifiants

pubmed: 37822884
doi: 10.1016/j.dib.2023.109615
pii: S2352-3409(23)00700-X
pmc: PMC10562661
doi:

Types de publication

Journal Article

Langues

eng

Pagination

109615

Informations de copyright

© 2023 The Author(s).

Références

Genes (Basel). 2020 Jul 13;11(7):
pubmed: 32668770
J Evol Biol. 2021 Aug;34(8):1333-1339
pubmed: 34101952
Biol Rev Camb Philos Soc. 2021 Oct;96(5):1695-1722
pubmed: 33960637
Int J Surg. 2010;8(5):336-41
pubmed: 20171303
Sci Rep. 2021 Oct 7;11(1):19963
pubmed: 34620957
Scientometrics. 2017;111(2):1053-1070
pubmed: 28490825
Ecol Evol. 2018 Dec 26;9(1):511-521
pubmed: 30680132
J Leukoc Biol. 2003 Feb;73(2):289-96
pubmed: 12554806
Cytogenet Genome Res. 2020;160(4):199-205
pubmed: 32369809
Am J Hum Biol. 2014 Jul-Aug;26(4):452-60
pubmed: 24633909
Biol Rev Camb Philos Soc. 2023 Jun 25;:
pubmed: 37356823
Campbell Syst Rev. 2022 Mar 27;18(2):e1230
pubmed: 36911350
Nature. 2015 Jun 4;522(7554):34
pubmed: 26040883

Auteurs

Louis-Stéphane Le Clercq (LS)

South African National Biodiversity Institute, Pretoria 0001, South Africa.
Department of Genetics, University of the Free State, Bloemfontein 9300, South Africa.

J Paul Grobler (JP)

Department of Genetics, University of the Free State, Bloemfontein 9300, South Africa.

Antoinette Kotzé (A)

South African National Biodiversity Institute, Pretoria 0001, South Africa.
Department of Genetics, University of the Free State, Bloemfontein 9300, South Africa.

Desiré Lee Dalton (DL)

School of Health and Life Sciences, Teesside University, Middlesbrough TS1 3BA, United Kingdom.

Classifications MeSH