Time-related data are often interval, particularly if they are relative to an arbitrary point. For example, you could look at the day of year of a particular event. It just happened 2 days later. The starting point is arbitrary, so the data are interval. Ordinal and nominal data are nonmetric, which means that they have no absolute unit values.
Ordinal data are consecutive numbers.
Ordinal scales are very common in field ecology, when there are many potentially important factors to measure but no possible way to measure them all absolutely. Various scales are used that can still be used as quantitative values. Relative soil moisture, and perhaps classes of percentage clay would be examples of these. Nominal data are categorical data. A species name or community type are obvious examples of these.