This Lesson Plan provides some generic maps, graphs, and data tables for use with the Data Literacy Cube. Because this is a differentiated resource, it is appropriate for multiple grade bands.
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This Lesson Plan provides maps, graphs, and data tables for use with the Data Literacy Cubes. Because it is a differentiated resource, it is appropriate for multiple grade bands.
Do you need tools to help using the Earth System Data Explorer? MND offers several ways to learn more about how to use this data visualization tool.
A Data Support Specialist works with the user community to understand their science needs with the goal of providing support for NASA data and information services. They represent the user in product development and development resources to assist with the user community's needs. This person works directly with users to solve problems using NASA data, or to provide resources to improve understanding of the data.
This lesson plan provides some generic maps, graphs, and data tables for use with the Data Literacy Cube. Because it is a differentiated resource, this lesson plan is appropriate for multiple grade bands.
Do you need instructions for how to use data from the Earth System Data Explorer in Microsoft Excel? Visit this link to access a step-by-step guide.
This video addresses the following question: "We know that there are a number of ways that data can be visualized. Would you please describe your process for looking at the same data as represented by different graph types and how this helps inform your meaning making from the data?"
Joshua Stevens,Lead for Data Visualization for NASA Earth Observatory at NASA Goddard Space Flight Center. Learn how he translates data from NASA missions and instruments into intuitive maps, charts and graphics which meet high quality standards and are consistent with current research.
Are you searching for resources to use with your students related to Science and Engineering Practices? Review these graphics that will help to hone students' attention to the specific practices in science and how they relate to investigating, sense-making, and critiquing of data.