This dataset includes longitudinal measurements of water quality in four streams and rivers across the United States that were collected using the AquaBOT, an unmanned surface vehicle equipped with water quality sensors developed as part of a BETO-funded project ('Spatially resolved measurements of water quality indicators within a bioenergy landscape'). Measured water quality indicators include: nitrate concentration, temperature, specific conductivity, dissolved oxygen, turbidity, chlorophyll, and pH.
Author(s):
Natalie A. Griffiths, Peter S. Levi, Jeffery S. Riggs, Christopher R. DeRolph, Allison M. Fortner, Jason K. Richards