Circle the Earth - Explore Surface Types on a Journey around Earth

Ground-truthing ... is it even a word? The last installment of a five-part series analyzes how scientists collect sea surface temperature data. Scholars use government websites to compare temperature data collected directly from buoys...

Bring the sun to your class! Young scholars analyze actual solar wind data in the second lesson plan of a five-part series. Their analysis includes speed, temperature, and density data.

Evaluate global temperature anomalies using real-world data from NASA! Climatologists analyze a data set using a literacy cube and differentiated question sheets. Team members evaluate global temperature anomaly data with basic...

Desert regions are hotter for multiple reasons; the lack of vegetation causes the sun's heat to go straight into the surface and the lack of moisture means none of the heat is being transferred into evaporation. This concept, and other...

No one wants to be average, so mathematicians use the term mean instead of average. The video explains how to calculate the mean, how to calculate the percent error, and why this information is important. Finally, the video considers the...

Using NASA's Live Access Server, earth scientists compare the temperature, precipitation, and normalized difference vegetation index for four different locations. They use the data to identify the climate zone of each location using...

The last activity in a nine-part series has teams create a Google Earth map using the data they collected during a field trip. Using the map, groups analyze the results and make adjustments to the map to reflect their analysis. A short...

In this chapter, you will access Global Positioning System (GPS) data from the Plate Boundary Observatory (PBO) and analyze the data in a spreadsheet to measure the motion of GPS stations in the Pacific Northwest. From your analyses, you...

Learners observe clouds. In this deep convective clouds lesson, students analyze cloud data recorded over one month and draw conclusions based on results.  Learners predict "Thunderstorm Season" and prepare to defend their decision...

Students observe air quality and monoxide data. In this air quality lesson, students draw conclusions and manipulate data from a one year period on changes in air quality.