The scripts included here are part of the study “Advances in Understanding Silicone Wristbands as Tools for Estimating Personal Exposure to Airborne PCB Concentrations” and were developed to organize and visualize data, estimate sampling rates for static, dynamic, and worn silicone wristbands (WBs), and perform statistical analyses, including t-tests and similarity tests such as cosine theta, supporting the use of WBs as personal passive samplers for airborne PCBs.
Licenses/restrictions: licensed under the 2-Clause BSD License - see the LICENSE file for details.
Deposit Title: Silicone Wristbands as Personal Passive Samplers for Airborne PCBs
Contributor information:
Andres Martinez, PhD University of Iowa - Department of Civil & Environmental Engineering Iowa Superfund Research Program (ISRP) andres-martinez@uiowa.edu ORCID: 0000-0002-0572-1494
This README file was generated on April 28 2025 by Andres Martinez.
This work was supported by the National Institutes of Environmental Health Sciences (NIH P42ES013661) and the University of Iowa Environmental Health Sciences Research Center (NIH P30ES005605). The funding sponsor did not have any role in study design; in collection, analysis, and/or interpretation of data; in creation of the dataset; and/or in the decision to submit this data for publication or deposit it in a repository.
Subjects: polychlorinated biphenyls; airborne; sampling rate; GC-MS/MS; personal passive sampling
This section of the ReadMe file lists the necessary software required to run codes in "R".
Software:
Any web browser (e.g., Google Chrome, Microsoft Edge, Mozilla Firefox, etc.) R-studio for easily viewing, editing, and executing "R" code as a regular "R script" file: https://www.rstudio.com/products/rstudio/download/
This section of the ReadMe file provides short instructions on how to download and install "R Studio". "R Studio" is an open source (no product license required) integrated development environment (IDE) for "R" and completely free to use. To install "R Studio" follow the instructions below:
Visit the following web address: https://www.rstudio.com/products/rstudio/download/ Click the "download" button beneath RStudio Desktop Click the button beneath "Download RStudio Desktop". This will download the correct installation file based on the operating system detected. Run the installation file and follow on-screen instructions.
It is recommended to create a project in R (e.g., WristbandProject.Rproj). Download the project file (.Rproj) and the R subfolder where the scripts are located, and the Subfolders.R file. Run first the Subfolder.R file, which will generate all the subfolders for this project. The structure of this project includes an R subfolder where all the R scripts are located, as previously indicated. There is a Data subfolder where the data are storage ("Data/IRO"), and then an Output subfolder, where the results are located.
The data files can be found and downloaded at https://doi.org/XXX. The files are:
BlankMassStudy3_4_5.csv
Frederiksen_data_2022.csv
logKoa.csv
SampleConcentrationStudy1.csv
SampleMassStudy1.csv
SampleMassStudy2.csv
SampleMassStudy3_4_5.csv