Dataset of scientific literature on Mozambican mangroves from 1962 to 2023

DOI:10.4121/dc05c9e0-e487-4c79-a36b-85d814d21f70.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/dc05c9e0-e487-4c79-a36b-85d814d21f70

Datacite citation style

Frosi, Leonardo; Arcioni, Martina; Macamo, Célia; Attorre, Fabio; Nicosia, Enrico et. al. (2025): Dataset of scientific literature on Mozambican mangroves from 1962 to 2023. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/dc05c9e0-e487-4c79-a36b-85d814d21f70.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset consists of 169 bibliographic records of scientific literature on mangroves in Mozambique, spanning from 1962 to 2023. It includes metadata such as authors, publication years, title, journals, etc. The dataset was systematically curated through a comprehensive review of the academic databases PubMed, Web of Science, Scielo, and Scopus. The data is served to support analysis of research contributions from various institutions, countries, and regions within Mozambique, with a focus on the temporal distribution and authorship of the studies. It also provides information on the geographic focus of the research, allowing for the identification of key areas of study within the country, as well as contributing countries and institutions. This structured collection serves as a valuable resource for future research and policy development regarding mangrove ecosystems in Mozambique.

History

  • 2025-04-15 first online, published, posted

Publisher

4TU.ResearchData

Format

csv

Funding

  • ManGrowth Project (Preservation of Ecosystems for Sustainable Development) (grant code AID 012432/01/2) Italian Agency for Development Cooperation

Organizations

Università La Sapienza di Roma, Dipartimento di Biologia Ambientale
Universidade Eduardo Mondlane, Departamento de Ciências Biológicas

DATA

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