In case you're interested in dealing with the data yourself, consult https://scrippso2.ucsd.edu/osub2sub-data.html https://scrippso2.ucsd.edu/osub2sub-data.html

In case you're interested in dealing with the data yourself, consult https://scrippso2.ucsd.edu/osub2sub-data.html https://scrippso2.ucsd.edu/osub2sub-data.html to identify CSV files, and try e.g. the following to plot a timeseries in R, and to show the results of linear and quadratic fits. url <- "https://scrippso2.ucsd.edu/assets/data/o2_data/o2_daily/altoav.csv" d <- read.csv(url, comment.char='%') year <- d[,7] O2 <- d[,3] plot(year, O2, type="l") # Linear fit m <- lm(O2~year) abline(m) summary(m) # Quadratic fit m2 <- lm(O2~year+I(year^2)) lines(year, predict(m2), col=2) summary(m2)