Natalie Nelson

University of Florida

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Activity (1)

Analyzing dissolved oxygen data across a fresh-estuarine gradient of the Lower St. Johns River (FL, USA) using a Python-enabled Jupyter Notebook part of Data and Model Driven Hydrology Education:Units
In this exercise, students will explore dissolved oxygen (DO) dynamics at three locations along a fresh-estuarine gradient of the Lower St. Johns River, FL (USA). Spatiotemporal DO trends along this gradient vary ...

Other Contributions (3)

Data Download part of Data and Model Driven Hydrology Education:Steps
Download temperature, dissolved oxygen, and water level data from three reaches (upstream, transitional, estuarine) of the St. Johns River, FL, USA using CUAHSI HydroClient.

Open and use a Jupyter notebook part of Data and Model Driven Hydrology Education:Steps
All data analysis will be performed using a cloud-based Jupyter Notebook that was created for this assignment. The Jupyter Notebook is accessed through GitHub from the command line.

Data Management part of Data and Model Driven Hydrology Education:Steps
Students will organize data in a format that allows for data manipulation and analysis using a programming language, such as Python or R.