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<p>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 <i>in situ</i> 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.</p>

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A dataset that integrates Beach Litter, Beach Uses, and Coastal Oceanographic variables

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年6月11日

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  • Bruna De Ramos,
  • Monica Ferreira da Costa

摘要

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.