ArticleScientific data2025
A dataset that integrates Beach Litter, Beach Uses, and Coastal Oceanographic variables.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
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Who cites it
1 citing paper in PubMed.
- A dataset that integrates Beach Litter, Beach Uses, and Coastal Oceanographic variables.Scientific data · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Marine litter is a multifaceted environmental issue requiring different data types for a better understanding of the problem. This paper presents a new dataset with approximately 6200 data records that compile different data types and sources focused on beach litter. We accessed beach litter data from in situ sampling, litter and beach wrack interaction, beach use, accommodation statistic focused on tourism, and meteo-oceanographic variables. A relational database framework was designed to facilitate data access, integration, and future use. Itamaracá Island, northeast Brazil, was used as Area of Interest, and all data was collected in the same time frame for the region, photos from the beach litter sampled items are also available in a data repository. The dataset demonstrated capability to manage diverse data types and sources, and it is an innovative approach for marine litter since it merges data from different sources, types and could give a holistic view about marine litter problem. This study emphasizes the importance of connecting different data sources for the same timeframe in environmental research.
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Registered trials
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