How do we know what kind of phytoplankton are in the water? The Imaging FlowCytobot (IFCB) is a robot that scientists use to image phytoplankton in the water. One IFCB can take up to 30,000 pictures per hour! The IFCB can be used in the field to detect plankton blooms in real time. In this activity, students will practice
From July 19, 2022, to August 15, 2022, I participated in the Harmful Algal Blooms in Arctic Waters research cruise on the R/V Norseman II. The Chief Scientist was Dr. Robert Pickart from Woods Hole Oceanographic Institution (WHOI), and the research team included scientists from WHOI, Oregon State University, the Florida Fish and Wildlife Conservation
This event with teacher Rebecca Siegel was broadcast live on 4 August 2022 from the Norseman II in Arctic waters. Rebecca is joined by team members from Woods Hole Oceanographic Institute working on Harmful Algal Blooms in Arctic Waters.
Mount St. Mary's College in Los Angeles profiles one of its alumni, teacher Cristina Solis who also happens to be a PolarTREC alumnus. Read about her journey to become an educator and her participation in a PolarTREC study of microbial activity in thawing arctic permafrost near Barrow, Alaska.
Students will conduct a soil study by investigating pH and water absorption.
Objectives
Students will learn:
* How to describe the composition of soil and explain how it forms.
* That soil is made up of tiny particles of rock, plant, and animal matter.
* How to determine whether a solution is acidic, basic, or neutral.
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Students will investigate what a carbon footprint is and calculate their own personal carbon footprint. Finally, students will develop ways to reduce their carbon footprint.
Objectives
Students will know that the principles of chemistry underlie the functioning of biological systems.
Students will know that carbon, because of its ability to combine in many ways with
PolarTREC teacher Cristina Solis and her team presented their work on microbial activity in the tundra to junior docents at Cabrillio Marine Aquarium. This is a one hour presentation with Cristina and her research team.
This data plotting lesson compares different stratospheric ozone data collected at the South Pole in September 1969, September 1998, September 2008, January 1999, and January 2008. This ozone comparison activity allows students to make conclusions about the annual and seasonal ozone hole as well as overall ozone concentration changes over Antarctica. Students use authentic data collected at the
This data plotting lesson is about temperature changes throughout the atmosphere. The data was collected together with the ozone data in January 2008.
The temperature vs. altitude profile allows students to make conclusions about annual and seasonal temperature changes in the atmosphere up to about 35 kilometers in the stratosphere. The best part of this lesson is using