This training will demonstrate how to use the dataretrieval package in R/Python to access USGS water data. We will cover recent changes and updates that have occurred in dataretrieval to leverage new Water Data APIs. We’ll show examples for how to replace legacy workflows with modern alternatives, including how to obtain data for a site list or area of interest. We’ll discuss future updates and how to get the current status of dataretrieval workflows. Attendees are encouraged to bring existing scripts and workflows to the session to get hands on help in adapting to the new modern dataretrieval functions.
Introduction to Campbell Scientific SCWID (Shortcut for Web Interface Design), a web based GUI that lives on the datalogger and can be customized for your application. How they work, what they can do, and how you can design your own.
This session introduces a set of state-level Python notebooks that use hyswap to generate maps and charts of current water conditions. These notebooks are designed to be easy to run and modify, providing a practical entry point for creating visuals that were previously available through legacy systems like WaterWatch.
Participants will learn how to produce 7-, 14-, and 28-day percentile maps, along with HUC-based runoff maps, using reproducible workflows that can be adapted to different states or regions. The session will walk through how the notebooks are structured, how they access and process data, and how outputs can be customized for specific communication or analysis needs.
This is a hands-on, work-along session. Attendees are encouraged to bring a laptop and follow along as we get the notebooks running locally, step through the code, and make simple modifications. Support will be provided to help participants set up Python environments and troubleshoot issues so they can continue using the notebooks independently after the session. The session is open to anyone interested in learning how to generate state-level water condition visuals using Python, regardless of prior experience.
