Metagenomes from cyanobacterial harmful algal blooms from lakes in Ohio (USA). [PDF]
Lefler FW +8 more
europepmc +1 more source
Ensemble Machine Learning of Gradient Boosting (XGBoost, LightGBM, CatBoost) and Attention-Based CNN-LSTM for Harmful Algal Blooms Forecasting. [PDF]
Ahn JM, Kim J, Kim K.
europepmc +1 more source
Electrophysiological monitoring of nutrient stress in <i>Oscillatoria</i> sp. cohorts: Toward an early-warning tool for harmful algal blooms. [PDF]
Duci D +7 more
europepmc +1 more source
Editorial: Harmful Algal Blooms (HABs) in Latin America
Marius N. Müller +2 more
doaj +1 more source
A Protein-Centric Mass Spectrometry Approach for Species Identification within Harmful Algal Blooms. [PDF]
Sound JK +4 more
europepmc +1 more source
Stable isotopes reveal an imprint of harmful algal blooms on Lake Erie. [PDF]
Benesh KC +11 more
europepmc +1 more source
Harmful algal blooms are preceded by a predictable and quantifiable shift in the oceanic microbiome. [PDF]
Mudge MC +8 more
europepmc +1 more source
Estimating Operational Costs of Activated Carbon for Water Treatment Plants by Predicting the Rise of Harmful Algal Blooms Under Climate Change in Korea Using Machine Learning. [PDF]
Kim J +7 more
europepmc +1 more source
Teaching unit investigates differences between toxic and non-toxic harmful algal blooms (HABs), where they occur in U.S. waters, causative phytoplankton species, technologies for detecting blooms, which organisms in the food web are affected and how ...
core
Rapid assessment of phytoplankton assemblages using Next Generation Sequencing and Barcode of Life Data System: a widely applicable HAB-ID toolkit for detecting and monitoring biodiversity loss and harmful algal blooms. [PDF]
Ivanova NV +6 more
europepmc +1 more source

