16S rRNA metabarcoding of Grand Lake Saint Mary (GLSM)
收藏NIAID Data Ecosystem2026-05-02 收录
官方服务：
资源简介：
Metabarcoding analyses of cyanobacterial harmful algal bloom in GLSM during treatment with ozone nanobubble
应用场景：
创建时间：
2024-11-18
相关数据集
Advances and limitations of using satellites to monitor cyanobacterial harmful algal blooms
Abstract The use of satellites for monitoring forests is common and well-known practice. However, the operational remote monitoring of water quality from space is still under development. In the Unite
Figshare2019-06-01 更新70
Franklin Lock & Dam phytoplankton and bacterial succession 2021
The goal of this study was to find the relationship between the microbial community, cyanobacterial harmful algal blooms, environmental hydrogen peroxide concentrations, and water quality. Furthermore
NIAID Data Ecosystem20
Quantifying the Human Health Benefits of Using Satellite Information to Detect Cyanobacterial Harmful Algal Blooms and Manage Recreational Advisories in U.S. Lakes GeoHealth
Significant recent advances in satellite remote sensing allow environmental managers to detect and monitor cyanobacterial harmful algal blooms (cyanoHAB), and these capabilities are being used more fr
NOAA Institutional Repository2025-12-10 更新00
Phytoplankton community structure in Lake Buchanan, TX, during an extended drought, Central Texas, USA (2010-2015)
This study investigated the impacts of an extended, severe drought in Central Texas, USA, from 2010-2015 by assessing the potential for cyanobacterial harmful algal blooms (CyanoHABs) related to droug
NIAID Data Ecosystem30
Metagenomes of cyanobacterial harmful algal blooms from fresh water lakes in Ohio (USA).
Metagenomic libraries of freshwater cyanobacterial harmful algal blooms (cyanoHABs) from Ohio, USA. One sample was collected from a Planktothrix-dominated bloom in Grand Lake St. Marys and another fro
NIAID Data Ecosystem10
