Phytoplankton Identification and Enumeration Data Collected from Seven Reservoirs in the United States (July to November 2019)

This dataset contains algal identification and enumeration data for phytoplankton samples collected by the U.S. Geological Survey (USGS) between July 2019 and November 2019 at seven reservoirs across the United States. Reservoirs sampled included Lake Koshkonong, Wisconsin, Pelican Lake, Minnesota, Lake Ida, Minnesota, Pomme de Terre, Minnesota, Lake Emily, Minnesota, Milford Lake, Kansas, and Jordan Lake, North Carolina. The samples were analyzed at the Caribbean - Florida Water Science Center (CFWSC) Phycology Laboratory using morphology-based microscopy methods. This data is part of a larger multi-agency project between the U.S. Environmental Protection Agency, the National Aeronautics and Space Administration, the National Oceanic and Atmospheric Administration, and USGS called the Cyanobacteria Assessment Network (CyAN). The goal of the CyAN project is to develop a satellite-based, early warning system to detect harmful algal blooms (HABs) in freshwater systems.

本数据集包含美国地质调查局（U.S. Geological Survey, USGS）于2019年7月至2019年11月间，在美国境内7座水库采集的浮游植物样本的藻类鉴定与计数数据。本次采样的水库包括：威斯康星州科什科农湖、明尼苏达州佩利肯湖、明尼苏达州艾达湖、明尼苏达州波姆德泰尔湖、明尼苏达州艾米丽湖、堪萨斯州米尔福德湖以及北卡罗来纳州乔丹湖。所有样本均由加勒比-佛罗里达水资源科学中心（Caribbean-Florida Water Science Center, CFWSC）的藻类学实验室采用基于形态学的显微镜检测方法完成分析。本数据隶属于由美国环境保护署、美国国家航空航天局（National Aeronautics and Space Administration）、美国国家海洋和大气管理局（National Oceanic and Atmospheric Administration）与美国地质调查局联合发起的大型多机构项目——蓝藻评估网络（Cyanobacteria Assessment Network, CyAN）。该项目的目标是构建一套基于卫星的早期预警系统，用于监测淡水生态系统中的有害藻华（harmful algal blooms, HABs）。