dodo is an in-development R package for modeling stream metabolism from two-station dissolved oxygen (DO) data.

1. request_NEON()
   • Pulls and formats water quality, temperature, PAR, nitrate, discharge, water chemistry, aquatic plant counts, and barometric pressure data products during the time period of choice into a single time-series dataframe
   • Pulls SF6 data to calculate K600 reaeration rates and the relationship between measured K and measured stream discharge
2. clean_NEON()
   • Takes products returned from request_NEON() and checks for obviously erronious sensor data (i.e. things like discharge < 0), equal 15-minute breaks throughout the time series, and the amount of missing data
   • Any missing data is filled using an ARIMA model (check out the documentation for auto.arima() for more info)
   • K600 and travel time between sensor stations are extrapolated for each time point using the relationship between field measurements and discharge
   • Column names and formatting are changed to jive with streamMetabolizer's requirements for metabolism modeling
3. Model metabolism
   • Functions for this step are in active development