Concentration and QA data for triclosan and bisphenols in adult duplicate diet samples from the EX-R study..

Bisphenol A and triclosan levels in individual food items consumed by 50 adults over six-weeks. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Downloading a copy of this future manuscript from the Internet as the original data values are provided. Format: Exposure of 50 adults to bisphenol A and triclosan in individual food items over six-weeks. This dataset is associated with the following publication: Morgan, M., and M. Clifton. Dietary Exposures and Intake Doses to Bisphenol A and Triclosan in 188 Duplicate-Single Solid Food Items Consumed by US Adults. International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel, SWITZERLAND, 18(8): 4387, (2021).

,[Note: Title updated 2024-04-23],Liquid chromatography-mass spectrometry (LC-MS) experiment data files for bovine milk lipid extracts, standards, and blanks, in mzML format. For use with "An Open-Source R-Based Workflow for Qualitative and Quantitative Lipidomics of Bovine Milk". Chromatography used a fast (10 minute) non-aqueous reversed-phase UHPLC separation. MS analysis was performed on a ThermoScientific QExactive Orbitrap high-resolution, accurate-mass mass spectrometer operated in electrospray ionization (ESI) mode.,Resources in this dataset:,,

An implementation of Quantitative Fatty Acid Signature Analysis (QFASA) in R. QFASA is a method of estimating the diet composition of predators. The fundamental unit of information in QFASA is a fatty acid signature (signature), which is a vector of proportions describing the fatty acid composition of adipose tissue. Signature data from at least one predator and from samples of all potential prey types are required. Calibration coefficients, which adjust for the differential metabolism of individual fatty acids by predators, are also required. Given those data inputs, a predator signature is modeled as a mixture of potential prey signatures and its diet estimate is obtained as the mixture that minimizes a measure of distance between the observed and modeled signatures. A variety of estimation options, goodness-of-fit diagnostic procedures to assess the suitability of estimates, and simulation capabilities are implemented. Please refer to the package vignette and the documentation files for individual functions for details and references.