Yes, I have seen what it looks like on say a 100MHz scope. But I can't help but wonder if 100MHz is enough for a good representation of the signal. Looks too sinusoidal.
BASE10 uses manshester encoding. This already tells you that the minimum occupied bandwidth of the signal is 2x the bitrate. So 10Mbit will need 20MHz.
You do want signals on long cables to be rounded rather than sharp because this reduces the problem of signal reflections on short cables and long cables will eventually round off a signal anyway. As long as you can clearly determine a 1 and 0 it is fine enough. If you wanted a razor sharp square wave signal then a 10Mbit digital signal would need a bandwidth of >10GHz, something that long cable runs are not capable of.
That's what I'm trying to figure out, how do I calculate the required bandwidth if I'm looking for signal integrity? At the moment I'm just curious, but even for 10BASE-T I might need more precise measurements in the not too distant future.
You can do a FFT to see the spectrum of the signal.
The whole thing gets much more complicated at 100Mbit and above because simple Manchester encoding is no longer used. The signal is not even digital anymore, it has 3 levels instead of 2 binary ones. All this trickery is the reason that 100Mbit Ethernet can fit inside of 100MHz of bandwidth (It actually uses only 1/3 of the bandwidth, rest is overhead). Gigabit uses similar tricks, except doubles the number of pairs hence why it can fit in 500MHz of bandwidth. Gigabit on top of that does extra tricks like preemphesis, so it will pre-distort the signal in a special way so it comes out looking nicer out the other end.
Once you go to 10Gbit they still fit it into the 500MHz bandwidth, but uses even more sophisticated encoding like PAM16 to squeeze more information into the signal at the expense of making it less resilient to noise. Trying to look at that with a scope will just look like random junk all over the screen.
All modern RF links like Wifi, DSL internet, DVB TV...etc uses various fancy modulation and encoding techniques to squeeze more data into the available bandwidth. The QAM modulation is popular there.