데이터셋 상세
미국
River-Chla-qPCR dataset
This dataset is the evaluation of eutrophication in rivers based on quantitative polymerase chain reactions (qPCRs) of phytoplankton. The qPCR data of 2017, 2018, and 2019 are included in the current dataset. The 2917, 2018, and 2019 physicochemical and biological data generated by the USGS are also included in the current file. This dataset is associated with the following publication: Zhang, C., K. McIntosh, N. Sienkiewicz, E.A. Stelzer, J.L. Graham, and J. Lu. qPCR-based phytoplankton abundance and chlorophyll a: A multi-year study in twelve large freshwater rivers across the United States. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 954: 175067, (2024).
데이터 정보
연관 데이터
Phtoplankton qPCR Dataset
공공데이터포털
The dataset including qPCR, phytoplankton counts and water quality parameters are used for the evaluation of phytoplankton identification and quantification and assessment of eutrophication. This dataset is associated with the following publication: Zhang, C., K. McIntosh, N. Sienkiewicz, E.A. Stelzer, J.L. Graham, and J. Lu. Using cyanobacteria and other phytoplankton to assess trophic conditions: A qPCR-based, multi-year study in twelve large rivers across the United States. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 235: 119679, (2023).
Phtoplankton qPCR Dataset
공공데이터포털
The dataset including qPCR, phytoplankton counts and water quality parameters are used for the evaluation of phytoplankton identification and quantification and assessment of eutrophication. This dataset is associated with the following publication: Zhang, C., K. McIntosh, N. Sienkiewicz, E.A. Stelzer, J.L. Graham, and J. Lu. Using cyanobacteria and other phytoplankton to assess trophic conditions: A qPCR-based, multi-year study in twelve large rivers across the United States. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 235: 119679, (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).
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).
A national harmonized dataset of discrete chlorophyll from lakes and streams (2005-2022)
공공데이터포털

This data release contains a 17-year record (2005-2022) of discrete chlorophyll data from inland waters, collected from across the nation and territories. These data are from discrete samples (collected in the field and analyzed in the laboratory) from plankton (suspended algae) and periphyton (benthic algae) from lakes, streams, rivers, reservoirs, canals, and other sites. These data are gathered to support process and remote sensing modeling and prediction of Harmful Algal Blooms (HABs). The chlorophyll data were compiled from the Water Quality Portal (WQP) and USGS National Water Quality Lab (NWQL).

Data for uncorrected chlorophyll a, corrected chlorophyll a, and pheophytin from EPA Methods 445 and 446 are included and reported, following the conventions of EPA section 445:

  • 12.1 uncorrected chlorophyll a – based on the initial optical measurement of the sample, which includes both chlorophyll a and pheophytin
  • 12.2 corrected chlorophyll a – based on optical measurement after acidification and calculation to estimate the amount of active chlorophyll in the original sample
  • 12.3 pheophytin – based on calculations to estimate the amount of pheophytin in the original sample

These data were harmonized for reporting units (plankton as µg/L and periphyton as mg/m2), duplicate values, collection depth, site type, negative values, and some extreme values. HABs events are associated with high values of chlorophyll, as algae may be concentrated in dense surface scums. These data may include an indicator for hydrologic event code, which may be helpful in determining HABs events.

Acknowledgements

This work was completed as part of two projects in the USGS Water Mission Area (WMA) Water Quality Processes Program: (1) the Improved Understanding and Prediction of Prioritized Constituents Project, an effort to advance datasets and understanding of chlorophyll, nutrient, carbon, and sediment occurrence and transport, and (2) the Proxies Project, an effort to develop estimation methods for PFAS, harmful algal blooms, and metals, at multiple spatial and temporal scales.

Arar, E.J. and Collins, G.B. 1997. Method 445.0: In vitro determination of chlorophyll a and pheophytin a in marine and freshwater algae by fluorescence. EPA Office of Research and Development.
Longitudinal Microbial Source Tracking Dataset
공공데이터포털
Dataset describes measurements of host-associated qPCR genetic markers along with other water quality parameters and precipitation from samples collected at marine, estuary, and freshwater recreational sites. Additional details provided in attached Dataset Description document. “This research dataset has been reviewed in accordance with U.S. Environmental Protection Agency (U.S. EPA), Office of Research and Development, and approved for release. Mention of brand names or vendors does not constitute an endorsement of products or services by the U.S. EPA.”
Dataset Urban Lakes
공공데이터포털
The dataset including qPCR and sequences is used for cyanobacterial characterization and qPCR assay evaluation. This dataset is associated with the following publication: Jeon, Y., I. Struewing, K. McIntosh, M. Tidd, L. Webb, H. Ryu, H. Mash, and J. Lu. Spatial and Temporal Variability of Saxitoxin-Producing Cyanobacteria in U.S. Urban Lakes. Toxins. MDPI, Basel, SWITZERLAND, 16(2): 70, (2024).
Opportunistic pathogens and drinking water parameters
공공데이터포털
They are qPCR data for opportunistic pathogens and drinking water parameters. This dataset is associated with the following publication: Zhang, C., I. Struewing, J. Mistry, D. Wahman, J. Pressman, and J. Lu. Legionella and other opportunistic pathogens in full-scale chloraminated municipal drinking water distribution systems. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 205: 117571, (2021).
Opportunistic pathogens and drinking water parameters
공공데이터포털
They are qPCR data for opportunistic pathogens and drinking water parameters. This dataset is associated with the following publication: Zhang, C., I. Struewing, J. Mistry, D. Wahman, J. Pressman, and J. Lu. Legionella and other opportunistic pathogens in full-scale chloraminated municipal drinking water distribution systems. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 205: 117571, (2021).
목록