SUPPLEMENTAL MATERIAL


IMPORTANT: This page will be updated regularly to include new suplemental material.

Python and Data Science

Maps and Visualizations

Datasets

  • Climate Data API: World Bank's climate data repository (with informatation about third party apps that have utilize this APIs).
  • IRI Data Library: The IRI Data Library is a powerful and freely accessible online data repository and analysis tool that allows a user to view, analyze, and download hundreds of terabytes of climate-related data through a standard web browser.
  • USGS Data Catalog: The USGS Science Data Catalog provides seamless access to USGS research and monitoring data from across the United States. Data about Atmosphere and Climate, Earth Characteristics, Geographic Analysis and Maps, Natural Hazards, and more can be found there. Check their catalog of topics for more.
  • NOAA National Climate Data Center: NOAA's National Centers for Environmental Information (NCEI) is responsible for preserving, monitoring, assessing, and providing public access to the Nation's treasure of climate and historical weather data and information.
  • NASA Earth Science Data: Variety of datasets from wildfires data to tropical cyclones, and much more.

Git and GitHub

Books

  • An Introduction to Erth and Evironmental Data Science By Ryan Abernathey. This book grew out of a course developed at Columbia University called Research Computing in Earth Science. It was written mostly by Ryan Abernathey, with significant contributions from Kerry Key and Tim Crone. By separating the book from the class, we hope to create an open-source community resource for Python education in the Earth and Environmental Sciences.