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Data Brief. 2019 Jul 19;25:104286. doi: 10.1016/j.dib.2019.104286. eCollection 2019 Aug.

Seagrass and hydrographic data for the Mediterranean Sea.

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Database & Information Retrieval Research Unit, Department of Electrical & Computer Engineering, Democritus University of Thrace, Xanthi 67100, Greece.
Lab of Ecological Engineering & Technology, Department of Environmental Engineering, Democritus University of Thrace, Xanthi 67100, Greece.


The dataset includes 1,771 locations of major seagrass families (Cymodoceaceae, Zosteraceae, Posidoniaceae, Hydrocharitaceae, Ruppiaceae), which are further divided into the species they include, as well as 1,284 locations of seagrass absence (algorithmically produced), in the Mediterranean Sea. For each location, 217 biological, chemical, physics, and human related parameters are available, which were merged from other publicly available data sources. As the most comprehensive dataset for seagrass in the Mediterranean to date, it is suitable for data analysis and machine learning. For more insight, please see "Seagrass Detection in the Mediterranean: A Supervised Learning Approach" (Effrosynidis et al., 2018). The dataset is available on Mendeley Data (Effrosynidis, 2019).


Classification; Hydrographic data; Machine learning; Mediterranean sea; Multi-class; Seagrass data

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