Dataset

공공데이터포털

Publicly available weblinks used to develop research project. This dataset is associated with the following publication: Hall, E., R. Hall, J. Aron, S. Swanson, M. Philbin, R. Schaefer, T. Jones-Lepp, D. Heggem, J. Lin, E. Wilson, and H. Kahan. An Ecological Function Approach to Managing Harmful Cyanobacteria in Three Oregon Lakes: Beyond Water Quality Advisories and Total Maximum Daily Loads (TMDLs). WATER. MDPI AG, Basel, SWITZERLAND, 11(6): 1125, (2019).

N-recyle-dataset

공공데이터포털

The data contained in the worksheet provides the quantity data of Cyanobacterial 16S sequences, qPCR and water quality parameters. This dataset is associated with the following publication: Li, H., T. Miller, J. Lu, and R. Goel. Nitrogen fixation contribution to nitrogen cycling during cyanobacterial blooms in Utah Lake. CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 302: 134784, (2022).

N-recyle-dataset

공공데이터포털

The data contained in the worksheet provides the quantity data of Cyanobacterial 16S sequences, qPCR and water quality parameters. This dataset is associated with the following publication: Li, H., T. Miller, J. Lu, and R. Goel. Nitrogen fixation contribution to nitrogen cycling during cyanobacterial blooms in Utah Lake. CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 302: 134784, (2022).

Sentinel-3B OLCI Global Binned Cyanobacteria Index (CI) Data, version 5.0

공공데이터포털

Cyanobacteria Assessment Network (CyAN) is a multi-agency project among EPA, the National Aeronautics and Space Administration (NASA), the National Oceanic and Atmospheric Administration (NOAA), and the United States Geological Survey (USGS) to support the environmental management and public use of U.S. lakes and estuaries by providing a capability of detecting and quantifying cyanobacteria algal blooms. This effort has resulted in the production of satellite remote sensing products using the cyanobacteria index (CI) algorithm to estimate cyanobacteria concentrations (CI_cyano) in lakes across the contiguous United States (CONUS) and Alaska. The Merged S3 product combines Sentinel-3A and Sentinel-3B OLCI data.

Sentinel-3A OLCI Global Binned Cyanobacteria Index (CI) Data, version 5.0

공공데이터포털

Cyanobacteria Assessment Network (CyAN) is a multi-agency project among EPA, the National Aeronautics and Space Administration (NASA), the National Oceanic and Atmospheric Administration (NOAA), and the United States Geological Survey (USGS) to support the environmental management and public use of U.S. lakes and estuaries by providing a capability of detecting and quantifying cyanobacteria algal blooms. This effort has resulted in the production of satellite remote sensing products using the cyanobacteria index (CI) algorithm to estimate cyanobacteria concentrations (CI_cyano) in lakes across the contiguous United States (CONUS) and Alaska. The Merged S3 product combines Sentinel-3A and Sentinel-3B OLCI data.

Dataset Cyanobacterial Microbiome

공공데이터포털

1. Accession numbers of raw RNA sequences, generated using Illumina sequencer, 2. water parameters, and 3. derived data worksheet from the raw RNA sequences. This dataset is associated with the following publication: Wang, K., X. Mou, H. Cao, I. Struewing, H. Allen, and J. Lu. Co-occurring microorganisms regulate the succession of cyanobacterial harmful algal blooms. ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 288: 117682, (2021).

Dataset Cyanobacterial Microbiome

공공데이터포털

1. Accession numbers of raw RNA sequences, generated using Illumina sequencer, 2. water parameters, and 3. derived data worksheet from the raw RNA sequences. This dataset is associated with the following publication: Wang, K., X. Mou, H. Cao, I. Struewing, H. Allen, and J. Lu. Co-occurring microorganisms regulate the succession of cyanobacterial harmful algal blooms. ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 288: 117682, (2021).

Sentinel-3B OLCI Global Mapped Cyanobacteria Index (CI) Data, version 5.0

공공데이터포털

Cyanobacteria Assessment Network (CyAN) is a multi-agency project among EPA, the National Aeronautics and Space Administration (NASA), the National Oceanic and Atmospheric Administration (NOAA), and the United States Geological Survey (USGS) to support the environmental management and public use of U.S. lakes and estuaries by providing a capability of detecting and quantifying cyanobacteria algal blooms. This effort has resulted in the production of satellite remote sensing products using the cyanobacteria index (CI) algorithm to estimate cyanobacteria concentrations (CI_cyano) in lakes across the contiguous United States (CONUS) and Alaska. The Merged S3 product combines Sentinel-3A and Sentinel-3B OLCI data.

River-cyanobacteria-datasets

공공데이터포털

Sequence data are used for cyanobacterial community and toxic species analysis. This dataset is associated with the following publication: Linz, D., N. Sienkiewicz, I. Struewing, E.A. Stelzer, J.L. Graham, and J. Lu. Metagenomic mapping of cyanobacteria and potential cyanotoxin producing taxa in large rivers of the United States. Scientific Reports. Nature Publishing Group, London, UK, 13: 2806, (2023).

River-cyanobacteria-datasets

공공데이터포털

Sequence data are used for cyanobacterial community and toxic species analysis. This dataset is associated with the following publication: Linz, D., N. Sienkiewicz, I. Struewing, E.A. Stelzer, J.L. Graham, and J. Lu. Metagenomic mapping of cyanobacteria and potential cyanotoxin producing taxa in large rivers of the United States. Scientific Reports. Nature Publishing Group, London, UK, 13: 2806, (2023).