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Online citizen scientists: Classify plankton images
Date:9/16/2013

, enabling us to see them in their natural setting, where they occur, what other organisms are nearby, even their orientation," explains Cowen.

The dataset used for Plankton Portal comes from a project from the Southern California Bight, where Cowen's team imaged plankton across a front, which is a meeting of two water masses, over three days in Fall 2010.

According to Jessica Luo, graduate student involved in this project, "in three days, we collected data that would take us more than three years to analyze." Cowen agrees: "with the volume of data that ISIIS generates, it is impossible for us to individually classify every image by hand, which is why we are exploring different options for image analysis, from automatic image recognition software to crowd-sourcing to citizen scientists."

"A computer will probably be able to tell the difference between major classes of organisms, such as a shrimp versus a jellyfish," explains Luo, "but to distinguish different species within an order or family, that is still best done by the human eye." Volunteer citizen scientists can assist by going to http://www.planktonportal.org. A field guide is provided, and the simple tutorial is easy to understand. Cowen and the science team will monitor the discussion boards; answer any questions about the classifications, the organisms, and the research they are conducting.


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Contact: Alexandra Bassil
a.bassil@miami.edu
305-284-1092
University of Miami
Source:Eurekalert

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