74MOPAR,
Much depends on what you want to learn from the data. Are you trying to track herd conditions (sex ratio, fawn recruitment rate, etc.), or are you looking more towards finding weather-related patterns in deer activity?
If you are tracking herd conditions, you will need to collect data on deer that are seen while hunting, by sex and age. This can be as simple as adult does seen, adult bucks seen, and fawns seen for each hunt. However, if you're looking for weather-related patterns, you will need to collect much more data, with "time" being a major factor so that you can calculate sighting "rates" (deer seen per hunting hour). So you will need at least "hours hunted" for each hunt, or better yet, time on stand and time off stand so you can calculate hours hunted. In addition you will need to collect as many weather conditions as possible that correspond with your hunt. And the sky is really the limit on this type of data. Some of the data points I collect for each hunt are:
The high temperature for that day
The low temperature for that day
The percent of the sky that is covered with clouds during the hunt
The wind speed and direction during the hunt
Any precipitation that occurs during the hunt (as in type of precip: drizzle, steady light rain, intermittent showers, etc.)
Atmospheric pressure and pressure trend (falling, falling rapidly, rising, etc.).
I also add data from websites, such as the percent of the moon's surface that is illuminated for that day, and whether the moon phase is waxing or waning.
Again, the sky is the limit on the types of weather information that can be collected for each hunt.