These video walkthroughs should serve as your first resource when getting started in the CUSP Data Facility. Follow along for a guided tour through the entire end-to-end workflow.

• Discovery
• Analysis
• Access

• Discovering data with CUSP Data Catalog The CUSP Data Facility currently has over 800 datasets and is quickly growing. Learn how to quickly identify data that is of interest to your project. Watch Video
• Going further with Urban Profiler Datasets range dramatically in terms of size, quality, and completeness. Urban Profiler provides summary statistics of your data to save you time in evaluating a dataset’s usefulness. Watch Video
• Accessing your workspace with Remote Desktop Remote Desktop allows you to use CUSP computing resources and is necessary for accessing restricted data and for offsite access to the Data Facility. Watch Video
• Using Jupyter to work with data Jupyter (formerly iPython Notebook) is a tool for writing interactive code for your analysis and for collaboration on data analyses. Learn how to get started here with an example using Python. Watch Video
• Geospatial analysis with QGIS Get started with QGIS, a free, open source Geographical Information System. Watch Video
• Exporting
  results Time to share your analysis with the world. Here you will learn how to export your results. Watch Video

Jupyter and QGIS are just two of the tools available to researchers in the CUSP Data Facility. Check out the Computing section of the Data Hub for a list of all Data Facility tool assets.