Goldrich-Middaugh, GM, Johnson, K, Ma, L, Engle, MA, Fleming, SW, Ricketts, JW, and Sullivan, PL. Critical zone controls on stream chemistry: Lessons from multiple machine learning methods and irregular data across large watersheds. Retrieved from https://par.nsf.gov/biblio/10590254. Journal of Hydrology 660.PB Web. doi:10.1016/j.jhydrol.2025.133319.

Goldrich-Middaugh, GM, Johnson, K, Ma, L, Engle, MA, Fleming, SW, Ricketts, JW, & Sullivan, PL. Critical zone controls on stream chemistry: Lessons from multiple machine learning methods and irregular data across large watersheds. Journal of Hydrology, 660 (PB). Retrieved from https://par.nsf.gov/biblio/10590254. https://doi.org/10.1016/j.jhydrol.2025.133319

Goldrich-Middaugh, GM, Johnson, K, Ma, L, Engle, MA, Fleming, SW, Ricketts, JW, and Sullivan, PL. "Critical zone controls on stream chemistry: Lessons from multiple machine learning methods and irregular data across large watersheds". Journal of Hydrology 660 (PB). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.jhydrol.2025.133319. https://par.nsf.gov/biblio/10590254.

@article{osti_10590254,
place = {Country unknown/Code not available}, title = {Critical zone controls on stream chemistry: Lessons from multiple machine learning methods and irregular data across large watersheds}, url = {https://par.nsf.gov/biblio/10590254}, DOI = {10.1016/j.jhydrol.2025.133319}, abstractNote = {}, journal = {Journal of Hydrology}, volume = {660}, number = {PB}, publisher = {Elsevier}, author = {Goldrich-Middaugh, GM and Johnson, K and Ma, L and Engle, MA and Fleming, SW and Ricketts, JW and Sullivan, PL}, }