ABSTRACT:

This HydroShare resource is an example dataset created for workshop and training purposes. All data are simulated and do not represent measurements from any real location or monitoring program.
The resource includes a comma-separated values file containing synthetic water quality measurements collected at three fictional monitoring sites (Site A, Site B, Site C) over a single sampling season (April through October 2023). Variables include water temperature, pH, dissolved oxygen, turbidity, nitrate, total phosphorus, and specific conductance. Sampling frequency is biweekly, with values designed to reflect plausible seasonal and longitudinal patterns in a small stream system.
A companion Jupyter Notebook demonstrates a basic analysis workflow in Python, including data loading and inspection, summary statistics, time series visualization, and correlation analysis.
This resource is intended to help researchers practice publishing, documenting, and accessing data on HydroShare using a realistic but consequence-free dataset.

ABSTRACT:

The Water Content Portal (https://water-content-portal.cuahsi.io/) is an open learning platform that brings together educational materials for water research. The portal includes tutorials, reusable workflows, and instructional content designed to support students, researchers, and practitioners working with water data.

This platform organizes diverse educational materials into five distinct categories for water researchers, bringing them together in a single, accessible space. Materials are designed to be reusable, transparent, and adaptable for teaching and research applications.

This HydroShare resource serves as a collection that references the full portal and links to individual collections and pages that are published as separate, citable resources.