Your browser doesn't support javascript.
loading
Dataset generated in a systematic review and meta-analysis of biological clocks as age estimation markers in animal ecology.
Le Clercq, Louis-Stéphane; Grobler, J Paul; Kotzé, Antoinette; Dalton, Desiré Lee.
Affiliation
  • Le Clercq LS; South African National Biodiversity Institute, Pretoria 0001, South Africa.
  • Grobler JP; Department of Genetics, University of the Free State, Bloemfontein 9300, South Africa.
  • Kotzé A; Department of Genetics, University of the Free State, Bloemfontein 9300, South Africa.
  • Dalton DL; South African National Biodiversity Institute, Pretoria 0001, South Africa.
Data Brief ; 51: 109615, 2023 Dec.
Article in En | MEDLINE | ID: mdl-37822884
ABSTRACT
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Systematic_reviews Language: En Journal: Data Brief Year: 2023 Document type: Article Affiliation country: South Africa

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Systematic_reviews Language: En Journal: Data Brief Year: 2023 Document type: Article Affiliation country: South Africa