I generated five of the samples directly from rnorm, with some sneaky choice of mean and standard deviation, and for the others I used (in some order):
rcauchy(n)
rnorm(n) * runif(n, 0, 1)
x <- rnorm(n, mean = 0, sd = 1);  x + x^3
contaminate(n, prob.bad = 0.1, badmu = 2)
contaminate(n, prob.bad = 0.2, badstd = 2.5)