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!
- 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!