Journal ArticleMicrobial Metagenomes Across a Complete Phytoplankton Bloom Cycle: High-Resolution Sampling Every 4 Hours Over 22 DaysNunn, Brook L; Timmins-Schiffman, Emma; Mudge, Miranda C; Plubell, Deanna L; Chebli, Gabriella; Kubanek, Julia; Riffle, Michael; Noble, William S; Harvey, Elizabeth; Nunn, Tasman A; Rynearson, Tatiana; Huntemann, Marcel; LaButti, Kurt; Foster, Brian; Foster, Bryce; Roux, Simon; Palaniappan, Krishnaveni; Mukherjee, Supratim; Reddy, T_B K; Daum, Chris; Copeland, Alex; Chen, I-Min A; Ivanova, Natalia N; Kyrpides, Nikos C; Glavina_del_Rio, Tijana; Eloe-Fadrosh, Emiley AIn May and June of 2021, marine microbial samples were collected for DNA sequencing in East Sound, WA, USA every 4 hours for 22 days. This high temporal resolution sampling effort captured the last 3 days of a<italic>Rhizosolenia</italic>sp. bloom, the initiation and complete bloom cycle of<italic>Chaetoceros socialis</italic>(8 days), and the following bacterial bloom (2 days). Metagenomes were completed on the time series, and the dataset includes 128 size-fractionated microbial samples (0.22–1.2 µm), providing gene abundances for the dominant members of bacteria, archaea, and viruses. This dataset also has time-matched nutrient analyses, flow cytometry data, and physical parameters of the environment at a single point of sampling within a coastal ecosystem that experiences regular bloom events, facilitating a range of modeling efforts that can be leveraged to understand microbial community structure and their influences on the growth, maintenance, and senescence of phytoplankton blooms.</p>Scientific Data2024-11-2210597001Scientific Data1112052-4463https://doi.org/10.1038/s41597-024-04013-52401646; 2401645; 2401644; 2041497; 2041435; 2041510; 2041748National Science Foundation