In Known Fates analysis, we assume that we can identify and follow subjects through time and determine their fates (lived, died, etc.). Thus, in this type of data structure and analysis, sampling / encounter probabilities are ignored (that is, assumed to be 1).
Known fates data can arrive in a number of ways. In fish and wildlife studies the usual sources will be:
Radiotelemetry studies, in which animals are capture, "marked" with radio or satellite transmitters, and followed until they die or the study ends (or "censoring" occurs in which the transmitter fails or the animal leaves the monitored study area).
Nesting success studies, in which nests, dens, etc. are located and followed through time until success (hatching, emergence, etc.) or failure.
In RMark and MARK, Known Fates studies use the LDLD format, although specialized summary formats are also available. For example, nest survival data can be entered in a special summary format that essentially bypasses the LDLD format, although the underlying information is the same See Chapter 16 in MARK book for general discussion of known fates analysis, and Chapter 17 for details of nest survival analysis.