% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/info_datasets.R
\docType{data}
\name{pm25_quarterly_2022}
\alias{pm25_quarterly_2022}
\title{Quarterly PM2.5 monitor averages over CONUS in 2022}
\format{
A data frame with 2640 rows and 9 columns.
\describe{
  \item{site_id}{EPA monitor site identifier.}
  \item{state}{State name.}
  \item{county}{County name.}
  \item{lat}{Monitor latitude in decimal degrees.}
  \item{lon}{Monitor longitude in decimal degrees.}
  \item{quarter}{Calendar quarter, coded as \code{Q1}, \code{Q2}, \code{Q3}, or \code{Q4}.}
  \item{pm25_q}{Quarterly average PM2.5 concentration in micrograms per cubic meter.}
  \item{n_days}{Number of daily monitor summaries contributing to the quarterly average.}
  \item{replicate}{Integer replicate index corresponding to quarter.}
}
}
\source{
US EPA Air Quality System Data Mart and EPA AirData pre-generated
files for PM2.5 monitor summaries.
\url{https://www.epa.gov/aqs}
\url{https://aqs.epa.gov/aqsweb/airdata/download_files.html}
}
\usage{
data("pm25_quarterly_2022")
}
\description{
A processed example dataset containing quarterly fine particulate matter
(PM2.5) averages for monitoring sites in the contiguous United States.
The data are derived from the US EPA Air Quality System and AirData
pre-generated monitor files and aggregated to site-quarter means.
}
\keyword{datasets}
