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Data Descriptor

A Dataset of Marine Macroinvertebrate Diversity from Mozambique and São Tomé and Príncipe

by
Marta Bento
1,2,*,
Henrique Niza
2,3,
Alexandra Cartaxana
2,4,
Salomão Bandeira
5,
José Paula
1,2 and
Alexandra Marçal Correia
1,2,*
1
Department of Animal Biology, Faculty of Sciences, University of Lisbon, Campo Grande, 1749-016 Lisboa, Portugal
2
MARE—Marine and Environmental Sciences Centre/ARNET—Aquatic Research Network, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal
3
IPMA—Portuguese Institute for the Sea and Atmosphere, Avenida Doutor Alfredo Magalhães Ramalho 6, 1495-165 Algés, Portugal
4
Museu Nacional de História Natural e da Ciência, Universidade de Lisboa, Rua da Escola Politécnica 56–58, 1250-102 Lisboa, Portugal
5
Department of Biological Sciences, Eduardo Mondlane University, Maputo 1100, Mozambique
*
Authors to whom correspondence should be addressed.
Submission received: 7 March 2023 / Revised: 10 April 2023 / Accepted: 25 April 2023 / Published: 25 April 2023

Abstract

Marine macroinvertebrate communities play a key role in ecosystem functioning by regulating flows of energy and materials and providing numerous ecosystem services. In Mozambique and São Tomé and Príncipe marine macroinvertebrates are important for the livelihood and food security of local populations. We compiled a dataset on marine invertebrates from Mozambique and São Tomé and Príncipe through an extensive data search of digital platforms, scientific literature, and natural history collections (NHC). This dataset encompasses data from 1816 to 2023 and comprises 20,122 records, representing 617 families, 1552 genera, 2137 species, providing species occurrence in mangrove forests, seagrass beds, coral reefs, and other coastal and offshore habitats. The dataset has a Darwin Core standard format and has been fully released in the Global Biodiversity Information Facility (GBIF). It is accessible through the GBIF portal under the Creative Commons Attribution 4.0 International license. The data are standardized and validated with tools such as WoRMS, GEOLocate, and Google Maps. Therefore, they can be readily used for further studies on species richness, distribution, and functional traits. Overall, this dataset contributes baseline information on marine biodiversity for future research.
Keywords: biodiversity; mangrove forests; seagrass beds; database; GBIF biodiversity; mangrove forests; seagrass beds; database; GBIF

Share and Cite

MDPI and ACS Style

Bento, M.; Niza, H.; Cartaxana, A.; Bandeira, S.; Paula, J.; Correia, A.M. A Dataset of Marine Macroinvertebrate Diversity from Mozambique and São Tomé and Príncipe. Data 2023, 8, 76. https://doi.org/10.3390/data8050076

AMA Style

Bento M, Niza H, Cartaxana A, Bandeira S, Paula J, Correia AM. A Dataset of Marine Macroinvertebrate Diversity from Mozambique and São Tomé and Príncipe. Data. 2023; 8(5):76. https://doi.org/10.3390/data8050076

Chicago/Turabian Style

Bento, Marta, Henrique Niza, Alexandra Cartaxana, Salomão Bandeira, José Paula, and Alexandra Marçal Correia. 2023. "A Dataset of Marine Macroinvertebrate Diversity from Mozambique and São Tomé and Príncipe" Data 8, no. 5: 76. https://doi.org/10.3390/data8050076

APA Style

Bento, M., Niza, H., Cartaxana, A., Bandeira, S., Paula, J., & Correia, A. M. (2023). A Dataset of Marine Macroinvertebrate Diversity from Mozambique and São Tomé and Príncipe. Data, 8(5), 76. https://doi.org/10.3390/data8050076

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