References#

The contents for this course are partially derived from the following resources, and we are thankful to their authors for sharing them.

  1. Introduction to Earth Data Science Textbook, Earth Lab CU Boulder (link).

  2. An Introduction to Earth and Environmental Data Science, Columbia University (link).

  3. The Unix Shell, Software Carpentry (link).

  4. Introduction to Geospatial Raster and Vector Data with Python, Software Carpentry (link).

  5. Introduction to Conda for (Data) Scientists, The Carpentries Incubator(link)

  6. NASA TOPS Open Science 101 Curriculum Development Team, Adams, A., Almarzouq, B., Alves Lacerda, M., Alwood, J., Alzahawi, S., Azevedo, F., Barry, R. K., Batalha, N., Bayer, J. M. M., Bell, T., Black, M., Blanchette, K., Bremner, P., Brown, S. V., Bugbee, K., Burt, J., Camacho Toro, R., Campitelli, E., … Yuen, K. (2023). NASA TOPS Open Science 101 (Version 1.0.0) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.10161527

  7. Scaling Science: A Guide, Development Seed and IEEE GRSS (link)

  8. In writing a few chapters of this book, I have used Anthropic’s Claude and OpenAI’s ChatGPT to generate the text. All of the content has been reviewed, revised and edited as needed to ensure accuracy. Use of Claude and ChatGPT facilitated the generation of text for these chapters based on an outline that I had envisioned for it.