Multidimensional Data Structures

Multidimensional Data Structures Logo

In this module, learners review the multidimensional nature of Earth Systems Science data, explore the hierarchical nature of multidimensional data structures, and search for critical metadata within these structures. This module is recommended for new users of netCDF data.

Launch Module

Details

Learning Objectives 

  1. Describe the benefits for storing Earth Systems Science data in a multidimensional data structure
  2. Define components of the netCDF data model including global attributes, dimensions, coordinates, variables, and variable attributes
  3. Locate critical information in a multidimensional dataset using an xarray HTML preview

Author

 NSF Unidata

Format

 Microlearning

Duration

 10 minutes

Requirements

A supported web browser

Contact

support-eLearning@unidata.ucar.edu