This collection contains links to on-line activites for teaching STEM concepts with data of all types and examples that describe ways in which on-line, published, and student-collected data are currently used in teaching and learning.

This collection includes both data activities identified from across the web as well as a local example collection.

The initial example collection was created in collaboration with the Geological Society of America where the examples were given in a poster session "Using Data to Teach Earth Processes: An Illustrated Community Discussion" sponsored by the NAGT On the Cutting Edge program. We invite you to contribute additional examples in any of the STEM disciplines.

Each example includes a description of the activity, its learning goals, the context in which it is used, information on the needed data, tools, and activities and suggestions for evaluation.


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Plate Tectonics as Expressed in Geological Landforms and Events part of MARGINS Data in the Classroom:MARGINS Mini-Lessons
This activity seeks to have students analyze global data sets on earthquake and volcano distributions toward identifying major plate boundary types in different regions on the Earth. A secondary objective is to familiarize students with two publicly available resources for viewing and manipulating geologically-relevant geospatial data: Google Earth(TM) and GeoMapApp.

Connecting Cross-Sectional Data from the Red Sea to Plate Tectonics part of MARGINS Data in the Classroom:MARGINS Mini-Lessons
Students will use map views and cross-sectional profiles across the Red Sea to determine plate tectonic processes in the region. Google Earth is a technological tool used to facilitate the investigation.

Exploring Monsoon Precipitation and Streamflow in a Semi-Arid Watershed part of Earth Exploration Toolbook:Exploring the Sabino Canyon
DATA: Precipitation, streamflow, and topographic data TOOLS: Google Earth & My World GIS SUMMARY: Explore a semi-arid watershed in Arizona. Investigate the effect of summer thunderstorms on streamflow.