CrowdWater citizen science data from nine locations compares smartphone app and paper form submissions for water level class observations. The dataset includes contributions from multiple citizen scientists, with analysis covering data quality and submission timing. It was created by Simon Etter at the University of Zurich.
Use Cases
- Assessing data quality differences between smartphone app and paper form submissions based on the described comparison.
- Analyzing seasonal patterns in citizen contributions based on the higher submission rate between May and September.
- Studying contributor engagement and data consistency based on the finding that app data often came from repeat contributors.
- Investigating the capture of high-flow events based on the higher fraction reported via the smartphone app.
Strengths
- Direct comparison of citizen science data with traditional stream level measurements at nine locations.
- Analysis includes data quality assessment and temporal submission patterns.
- Dataset is published under an Open Access (green) license.
Limitations
- Row count, file formats, and column-level documentation are unknown.
- Geographic scope is limited to an unspecified set of locations.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- University of Zurich
- Collection Method
- Crowdsourced via the CrowdWater citizen science project using a virtual staff gauge approach via smartphone app and paper forms.