Data for High throughput in situ imaging reveals complex ecological behavior of giant marine mixotrophic protists

supporting data for the paper "high throughput in situ imaging reveals complex ecological behavior of giant marine mixotrophic protists".plankton data was collected with isiis during the visufront cruise, in july 2013. sampling consisted of repeated transects across and along the ligurian front. the isiis is deployed in a tow-yo fashion behind the boat, oscillating between the surface and a given depth (100 m or 150 m depending on transects). raw images were segmented with apeep (https://github.com/jiho/apeep). during segmentation, a set of features are computed with the scikit-image toolbox (http://scikit-image.org) for each object. detected objects were then sorted with a cnn classifier. besides plankton, isiis records environmental data: temperature, salinity, oxygen, fluorescence and irradiance.the dataset contains:- a description of files in readme.md - plankton data in ecotaxa_export_all_rhizaria_cc.tsv- environmental data is in isiis_images_env.parquet

本数据集为论文《高吞吐量原位成像揭示巨型海洋混合营养原生生物的复杂生态行为》提供支持。该数据集于2013年7月，在Visufront航次期间，利用ISIIS系统收集浮游生物数据。采样过程包括在利古里亚海锋区域进行的重复横断面和纵向断面。ISIIS系统以拖曳-浮标方式置于船后，在水面与指定深度（100米或150米，根据断面而定）之间振荡。原始图像通过apeep（https://github.com/jiho/apeep）进行分割。在分割过程中，每个对象均使用scikit-image工具箱（http://scikit-image.org）计算一组特征。随后，检测到的对象通过CNN分类器进行排序。除了浮游生物外，ISIIS系统还记录了环境数据：温度、盐度、氧气、荧光和辐照度。数据集包含以下内容：README.md文件中的文件描述、ecotaxa_export_all_rhizaria_cc.tsv文件中的浮游生物数据以及isiis_images_env.parquet文件中的环境数据。