Background This paper describes a phytoplankton data series generated through systematic observations in the Belgian Part of the North Sea (BPNS). Phytoplankton samples were collected during multidisciplinary sampling campaigns, visiting nine nearshore stations with monthly frequency and an additional eight offshore stations on a seasonal basis. New information The data series contain taxon-specific phytoplankton densities determined by analysis with the Flow Cytometer And Microscope (FlowCAM®) and associated image-based classification. The classification is performed by two separate semi-automated classification systems, followed by manual validation by taxonomic experts. To date, 637,819 biological particles have been collected and identified, yielding a large dataset of validated phytoplankton images. The collection and processing of the 2017–2018 dataset are described, along with its data curation, quality control and data storage. In addition, the classification of images using image classification algorithms, based on convolutional neural networks (CNN) from 2019 onwards, is also described. Data are published in a standardised format together with environmental parameters, accompanied by extensive metadata descriptions and finally labelled with digital identifiers for traceability. The data are published under a CC‐BY 4.0 licence, allowing the use of the data under the condition of providing the reference to the source.

中文翻译：

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LifeWatch 天文台数据：北海比利时部分的浮游植物观测

背景 本文介绍了通过对北海比利时部分 (BPNS) 的系统观测生成的浮游植物数据系列。在多学科抽样活动期间收集浮游植物样本，每月访问 9 个近岸站点，并按季节访问另外 8 个近海站点。新信息 该数据系列包含通过流式细胞仪和显微镜 (FlowCAM®) 分析确定的特定分类单元的浮游植物密度以及相关的基于图像的分类。分类由两个独立的半自动分类系统执行，然后由分类专家手动验证。迄今为止，已收集和识别了 637,819 个生物颗粒，产生了大量经过验证的浮游植物图像数据集。描述了 2017-2018 数据集的收集和处理，以及其数据管理、质量控制和数据存储。此外，还描述了从 2019 年开始使用基于卷积神经网络 (CNN) 的图像分类算法对图像进行分类。数据以标准化格式与环境参数一起发布，并附有广泛的元数据描述，最后用数字标识符标记以实现可追溯性。数据在 CC-BY 4.0 许可下发布，允许在提供对来源的参考的条件下使用数据。还描述了从 2019 年起基于卷积神经网络 (CNN) 的。数据以标准化格式与环境参数一起发布，并附有广泛的元数据描述，最后用数字标识符标记以实现可追溯性。数据在 CC-BY 4.0 许可下发布，允许在提供对来源的参考的条件下使用数据。还描述了从 2019 年起基于卷积神经网络 (CNN) 的。数据以标准化格式与环境参数一起发布，并附有广泛的元数据描述，最后用数字标识符标记以实现可追溯性。数据在 CC-BY 4.0 许可下发布，允许在提供对来源的参考的条件下使用数据。