Buse Francisella Medium

공공데이터포털

This dataset contains colony forming unit and qPCR data. This dataset is associated with the following publication: Morris, B., H. Buse, N. Adcock, and E. Rice. A novel broth medium for enhanced growth of Francisella tularensis. Letters in Applied Microbiology. Blackwell Publishing, Malden, MA, USA, 64(6): 393-468, (2017).

Buse cbFtPCR raw data compiled

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This is a compiled data set for the qPCR analyses, bacterial enumeration analyses, and water quality parameters collected for this study. This dataset is associated with the following publication: Buse, H., B. Morris, and E. Rice. Early detection of viable Francisella tularensis in environmental matrices byculture-based PCR. BMC Microbiology. BioMed Central Ltd, London, UK, 20(66): 15, (2020).

Brumfield et al 20xx Data Set

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Log10 fecal score ratios for eligible microbial source tracking qPCR assays. This dataset is associated with the following publication: Brumfield, K.D., J.A. Cotruvo, O. Shanks, M. Sivaganesan, J. Hey, N.A. Hasan, A. Huq, R.R. Colwell, and M.B. Leddy. Metagenomic Sequencing and Quantitative Real-Time PCR for Fecal Pollution Assessment in an Urban Watershed. Frontiers in Water. Frontiers, Lausanne, SWITZERLAND, 3: 626849, (2021).

Dataset Urban Lakes

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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).

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).

Buse Francisella and free-living amoebae data sets

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Co-infection data in the form of colony forming units and amoeba cell counts. This dataset is associated with the following publication: Buse , H., F. Schaefer, and G. Rice. Enhanced survival but not amplification of Francisella spp. in the presence of free-living amoebae. Acta Microbiologica et Immunologica Hungarica. Akademiai Kiado, Budapest, HUNGARY, 64(1): 17-36, (2016).

Interlaboratory Performance and Quantitative PCR Performance Benchmarks for NIST SRM® 2917 Monitoring qPCR Assays

공공데이터포털

qPCR assay interlaboratory measurements using NIST SRM 2917. This dataset is associated with the following publication: Sivaganesan, M., J. Willis, M. Karim, A. Babatola, D. Catoe, A.B. Boehm, M. Wilder, H. Green, A. Lobos, V.J. Harwood, S. Hertel, R. Klepikow, M.F. Howard, P. Laksanalamai, A. Roundtree, M. Mattioli, S. Eytcheson, M. Molina, M. Lane, R. Rediske, A. Ronan, N. D'Souza, J.B. Rose, A. Shrestha, C. Hoar, A.I. Silverman, W. Faulkner, K. Wickman, J.G. Kralj, S. Servetas, M.E. Hunter, S.A. Jackson, and O. Shanks. Interlaboratory performance and quantitative PCR data acceptance metrics for NIST SRM® 2917. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 225: 119162, (2022).

Interlaboratory Performance and Quantitative PCR Performance Benchmarks for NIST SRM® 2917 Monitoring qPCR Assays

공공데이터포털

qPCR assay interlaboratory measurements using NIST SRM 2917. This dataset is associated with the following publication: Sivaganesan, M., J. Willis, M. Karim, A. Babatola, D. Catoe, A.B. Boehm, M. Wilder, H. Green, A. Lobos, V.J. Harwood, S. Hertel, R. Klepikow, M.F. Howard, P. Laksanalamai, A. Roundtree, M. Mattioli, S. Eytcheson, M. Molina, M. Lane, R. Rediske, A. Ronan, N. D'Souza, J.B. Rose, A. Shrestha, C. Hoar, A.I. Silverman, W. Faulkner, K. Wickman, J.G. Kralj, S. Servetas, M.E. Hunter, S.A. Jackson, and O. Shanks. Interlaboratory performance and quantitative PCR data acceptance metrics for NIST SRM® 2917. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 225: 119162, (2022).

Centrum Naukowo Badawcze LADROB Łukasz Latała - Implementacja przebadanych i wyselekcjonowanych ekstraktów ziołowych o udowodnionym działaniu na chorobotwórcze szczepy bakteryjne w celu wyeliminowania konieczności stosowania antybiotyków w hodowli drobiu.

공공데이터포털

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