当前位置: X-MOL 学术Sci. Data › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Fisheries Inspection in Portuguese Waters from 2015 to 2023
Scientific Data ( IF 9.8 ) Pub Date : 2024-04-10 , DOI: 10.1038/s41597-024-03088-4
Ricardo Moura , Nuno Pessanha Santos , Alexandra Vala , Leonor Mendes , Paula Simões , Miguel de Castro Neto , Victor Lobo

As a coastal state, Portugal must ensure active surveillance over its maritime area, ensuring its proper control and inspection. One of the most critical inspection activities is the fishery inspection. To protect biodiversity, we must ensure that all the ships comply with the existing safety regulations and respect the current fishing quotas. This georeferenced dataset describes the fisheries inspections done in Portuguese waters between 2015 and 2023. Since we are dealing with occurrences that may have originated some legal process to the ship’s owner, we have ensured data anonymization by pre-processing the dataset to maintain its accuracy while guaranteeing no unique identifiers exist. All the pre-processing performed to ensure data consistency and accuracy is described in detail to allow a quick analysis and implementation of new algorithms. The data containing the results of these inspections can be easily analyzed to implement data mining algorithms that can efficiently retrieve more knowledge and, e.g., suggest new areas of actuation or new strategies.



中文翻译:

2015年至2023年葡萄牙水域渔业检查

作为沿海国家,葡萄牙必须确保对其海域进行积极监视,确保其适当的控制和检查。最关键的检查活动之一是渔业检查。为了保护生物多样性,我们必须确保所有船只遵守现有的安全法规并尊重当前的捕捞配额。该地理参考数据集描述了 2015 年至 2023 年间在葡萄牙水域进行的渔业检查。由于我们正在处理可能向船东发起某些法律程序的事件,因此我们通过预处理数据集来确保数据匿名化,以保持其准确性,同时保证不存在唯一标识符。详细描述了为确保数据一致性和准确性而执行的所有预处理,以便快速分析和实施新算法。包含这些检查结果的数据可以很容易地进行分析,以实现数据挖掘算法,该算法可以有效地检索更多知识,并且例如建议新的驱动领域或新的策略。

更新日期:2024-04-11
down
wechat
bug