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This is an interesting possibility for working with large (already-existing) datasets to map out and correlate data about the spring reset for plants. What factors are most important in when the spring "greenup" starts? Could also be combined with some local data collected to compare the datasets with what we are seeing on the ground. Could also be a cool opportunity to use ArcGIS tools for spatially mapping information geographically over time!