Abundance and biomass of Hemiaulus on the Northeast U.S. Shelf from 2013 to 2023 determined by Imaging FlowCytobot.

These data include abundance and carbon concentration of the diatom Hemiaulus on the Northeast U.S. Shelf during 81 research cruises from 2013 to 2023 as part of Long-Term Ecological Research (NES-LTER). Abundances are determined from Imaging FlowCytobot (IFCB) deployed in three different sampling schemes: underway mode (sampling near-surface seawater) on NOAA EcoMon, HAB Cyst, and AMAPPS broadscale survey cruises from 2013 to 2023; in underway mode (sampling near-surface seawater) on NES-LTER transect cruises from 2017 to 2023, and in discrete mode (CTD rosette discrete samples from depth) on NES-LTER transect cruises. Results are based on machine learning image classification, with one data table provided per sampling scheme (broadscale underway, transect underway, and transect discrete). Hemiaulus data are provided in abundance per milliliter and micrograms of carbon per liter.

本数据集涵盖2013至2023年间81次科研航次中，美国东北陆架（Northeast U.S. Shelf）上作为长期生态研究（Long-Term Ecological Research, NES-LTER）组成部分的硅藻半盘藻（Hemiaulus）的丰度与碳浓度数据。半盘藻的丰度通过部署于三种不同采样方案下的成像流动细胞计数仪（Imaging FlowCytobot, IFCB）测定：第一种采样方案为2013至2023年间，搭载于美国国家海洋和大气管理局（NOAA）EcoMon、有害藻华孢囊（HAB Cyst）及AMAPPS大尺度调查航次的走航模式，用于采集近表层海水；第二种为2017至2023年间，搭载于NES-LTER断面航次的走航模式，同样采集近表层海水；第三种为NES-LTER断面航次的离散采样模式，即采用温盐深采水器（CTD rosette）采集的深度分层离散样品。本分析结果基于机器学习图像分类得到，三种采样方案各对应一张数据表，分别为大尺度走航、断面走航及断面离散采样数据表。半盘藻的相关数据以每毫升丰度及每升微克碳的单位形式提供。