Index of /pub/academic/biology/ecology+evolution/teaching/pollen

Icon  Name                                              Last modified      Size  Description
[DIR] Parent Directory - [TXT] README 10-Feb-1999 21:58 1.0K [   ] pollen1.dat 04-Dec-1993 20:53 24K [   ] pollen2.dat 04-Dec-1993 20:53 24K [   ] pollen3.dat 04-Dec-1993 20:53 24K [   ] pollen4.dat 04-Dec-1993 20:53 24K [   ] pollen5.dat 04-Dec-1993 20:53 24K [   ] pollen6.dat 04-Dec-1993 20:53 24K [   ] pollen7.dat 04-Dec-1993 20:53 24K [   ] pollen8.dat 04-Dec-1993 20:53 24K

This dataset is synthetic.  It was generated by David Coleman at
RCA Laboratories in Princeton, N.J.  For convenience, we will
refer to it as the POLLEN DATA.  The first three variables are the
lengths of geometric features observed sampled pollen grains - in
the x, y, and z dimensions: a "ridge" along x, a "nub" in the y
direction, and a "crack" in along the z dimension.  The fourth
variable is pollen grain weight, and the fifth is density.

There are 3848 observations, in random order (for people whose
software packages cannot handle this much data, it is recommended
that the data be sampled).  The dataset is broken up into eight 
pieces, POLLEN1.DAT - POLLEN8.DAT, each with 481 observations.  
We will call the variables:

1. RIDGE
2. NUB
3. CRACK
4. WEIGHT
5. DENSITY

6. OBSERVATION NUMBER (for convenience)

The data analyst is advised that there is more than one "feature" to
these data.  Each feature can be observed through various graphical
techniques, but analytic methods, as well, can help "crack" the dataset.