Drowning in Data: Monitoring Harmful Algal Blooms

Are you drowning in data?

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!

Dr. Stephanie Smith and Chuck Springer Head-shots, Webinar Drowning in Data: Monitoring Harmful Algal Blooms.

Watch this free webinar today!

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