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Evaluation of polycyclic aromatic hydrocarbons in fine particulate matter censoring-related bias.csv

Metadata Updated: March 29, 2021

The case study data are selected from an EPA study using cookstove combustion experiments to measure polycyclic aromatic hydrocarbon (PAH) concentrations in particulate matter (PM) and were determined using gas chromatography-mass spectrometry (GC-MS) (Shen et al. 2017). Chromatograms of particle emissions reported in Shen et al. (2017) were reanalyzed for the case study to quantify previously censored measurements where the signal-to-noise ratio was >1.

This dataset is associated with the following publication: George, B., L. Gains-Germain, K. Broms, K. Black, M. Furman, M. Hays, K. Thomas, and J.E. Simmons. Censoring Trace-Level Environmental Data: Statistical Analysis Considerations to Limit Bias. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 55(6): 3786-3795, (2021).

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

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Metadata Created Date March 29, 2021
Metadata Updated Date March 29, 2021

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date March 29, 2021
Metadata Updated Date March 29, 2021
Publisher U.S. EPA Office of Research and Development (ORD)
Data Last Modified 2019-11-14
Public Access Level public
Bureau Code 020:00
Schema Version
Data Dictionary
Data Dictionary Type application/vnd.openxmlformats-officedocument.wordprocessingml.document
Harvest Object Id 0653fc09-1474-403a-8ebd-82f89fcd4015
Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
Harvest Source Title EPA ScienceHub
Program Code 020:094
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
Related Documents
Source Datajson Identifier True
Source Hash 79705c1794b78f9b9a350da313c5762258e8a718
Source Schema Version 1.1

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