Drowning in Data: Monitoring Harmful Algal Blooms

Interpreting algae monitoring data is not straightforward, even with the most sophisticated instruments at our fingertips. Examples of challenges include:

• Processing and interpreting large datasets
• Working with mismatched timestamps and data from multiple sources
• Collating data which exist in different file formats
• Correcting water quality signals to compensate for sensor drift and step changes

Join Dr. Stephanie A. Smith of YSI, a Xylem Brand, and Chuck Springer of Aquatic Informatics as they review best practices for managing and interpreting algae data!

Webinar Highlights:

• Demonstration of how spreadsheet tools can be used to process data
• Discussion about the limitations of sensor technologies for describing algal biology in units such as CFU/ml and a discussion on how software can be leveraged to estimate some of these values
• Description of solutions for managing data from discrete environmental samples, multi-parameter sondes, and laboratory analyses
• Best practices on identifying data outliers, reviewing associated metadata, and applying drift corrections across disparate files generated by monitoring tools

Many of these same techniques can be used across a variety of parameters and monitoring applications!

Watch now!