geedataextract, written by Amanda Schwantes, is now being used for many of the variables in our analyses. It includes functions to download environmental and remote sensing data from Google Earth Engine, using the GEE python API. Environmental data can be extracted at the nearest pixel to a point or spatially averaged over pixels around a buffer from a point or within a polygon. Shapefiles of points or polygons must be uploaded to GEE in your assets folder. Data tables will be automatically downloaded to your Google Drive. Functions exist for downloading environmental data related to land cover, topography, soil condition, climate, soil moisture (SMOS), and Landsat & MODIS vegetation indices/products. A complete tutorial in jupyter notebooks can be found here. This package was developed under the support of the National Aeronautics and Space Administration’s Advanced Information Systems Technology Program (award number AIST-16-0052) and the National Science Foundation (award number 1754443).