Introduces students to the broad range of data sets used to monitor and understand human and natural systems. Course will cover field and station data, remote sensing products, and large-scale climate datasets including climate model projections. Skills will include evaluating data collectionand quality control methods used in existing datasets, and working with existing databases of time-series and spatialinformation including cloud computing databases and new repositories of environmental datasets. Students will learn basic workflowsfor selecting, obtaining, and visualizing datasets, and best practices for reliabledata intercomparisons. Students will gain hands-on experience with an environmental dataset of their choice by developing tutorial Jupyter notebook materials for a relevant use case.