qPCR data for calanoids in Lake Harsha

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raw data for qPCR assays

Phtoplankton qPCR Dataset

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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).

CalCOFI Continuous Underway Fish-Egg Sampler

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Samples collected using the Continuous Underway Fish-Egg Sampler, known as CUFES. The data include numbers of anchovy, sardine, jack mackerel, squid, hake, and unidentified fish eggs captured, and associated environmental.

River-Chla-qPCR dataset

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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).

Full-Scale qPCR FSI in the Tillamook Bay Watershed April 2019

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Fecal source identification qPCR, land use, and weather data used in the manuscript entitled, "Large-Scale Implementation of Standardized Quantitative Real-Time PCR Fecal Source Identification Procedures in the Tillamook Bay Watershed". This dataset is associated with the following publication: Li, X., M. Sivaganesan, C. Kelty, A. Zimmer-Faust, P. Clinton, J. Reichman, Y. Johnson, W. Matthews, S. Bailey, and O. Shanks. Large-scale implementation of standardized quantitative real-time PCR fecal source identification procedures in the Tillamook Bay Watershed. PLoS ONE. Public Library of Science, San Francisco, CA, USA, 14(6): e0216827, (2019).

Quantitative PCR results for detecting Tetracapsuloides bryosalmonae in fish tissue and environmental DNA water samples

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A probe-based quantitative real-time PCR assay was developed to detect Tetracapsuloides bryosalmonae, which causes Proliferative Kidney Disease in salmonid fish, in kidney tissue and environmental DNA (eDNA) water samples. We present data that was used to determine assay sensitivity, specificity and to define the limits of detection and quantification.

Chemical, Physical, and zooplankton abundance/biomass data collected using several instruments in the Coastal Waters of California as a part of the California Cooperative Fisheries Investigation (CALCOFI) project, from 2000-01-07 to 2000-07-01 (NCEI Accession 0000298)

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Chemical, physical, and zooplankton abundance/biomass data were collected using Secchi disk, zooplankton net, current meter (ADCP), bottle, and CTD casts in the Coastal Waters of California from the NEW HORIZON and DAVID STARR JORDAN. Data were collected from January 7, 2000 to July 1, 2000. Data were submitted by Scripps Institution of Oceanography as a part of the California Cooperative Fisheries Investigation (CALCOFI) project.

Chemical, physical, phytoplankton weight, and other data collected using meteorological sensors, plankton net, Secchi disk, CTD, and bottle casts from the G.W. PIERCE as part of the California Cooperative Fisheries Investigation (CALCOFI) project, from 1971-06-19 to 1980-09-14 (NCEI Accession 8300037)

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Chemical, physical, phytoplankton weight, and other data were collected from the G.W. PIERCE from June 19, 1971 to September 14, 1980. Data were collected using meteorological sensors, plankton net, Secchi disk, and bottle casts from the South Atlantic Ocean. Data were submitted by Skidaway Institute of Oceanography (SKIO) as part of the California Cooperative Fisheries Investigation (CALCOFI) project.