TOPS-T SCHOOL Module 1: Water
Authors/Creators
Description
NOTE: This entry includes the previewable elements from the repository along with the entire GIT repository in the .zip file
The Science Core Heuristics for Open Science Outcomes in Learning (SCHOOL) is part of the NASA's Transform to Open Science (TOPS) Training (TOPST) initiative, designed to teach the data science lifecycle using data from the NASA Earth Sciences division and to foster an inclusive culture of open science. You can learn more about the SCHOOL Project and other modules on the SCHOOL Project home page.
The first SCHOOL module on the theme of “Water and related-resources” explores how the water cycle impacts humans and how they are affected by the changes. The module consists of three use cases that cover examples of water use, safety, and anomalies such as droughts and floods. Each use case uses a unique dataset to walk users through lessons in accessing and analyzing data, and further adapting the code to perform their analyses including data cleaning, processing to subset to an area of interest, and creating visualizations to share what they have learned with their communities.
Module 1: Water datasets and use cases cover:
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Water Module Prerequisites and Glossary: General information on the prerequisites needed to maximize the usefulness of this lesson, as well as a glossary of terms than can be found throughout the module.
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Water Security Indicator Model - Global Land Data Assimilation system (WSIM-GLDAS): Exploring water anomalies using a historical dataset.
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Moderate Resolution Imaging Spectroradiometer (MODIS) Near Real-Time (NRT) flood data: Lessons in data acquisition and analysis of recent water anomalies.
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Lead in New York State Schools: Exploring lead contamination data and US Census data and lessons in data cleaning and visualization, with a discerning eye towards data limitations.
This course was made possible thanks to the work of our NASA Transform to Open Science (TOPS) team, our SCHOOL Open Science team, open science Subject Matter Experts (SMEs), and the SCHOOL Development team!
Don’t have a GitHub account? Contact us here!
Open Science Team Member Contributors
- Emanuel Agú, Phd Student, CUNY Baruch
- Rosana Aguilera Becker, Phd Student, UC San Diego
- Tricia Boucher, Phd Student, Texas State University
- Jinyi Cai, Phd Student, University of Iowa
- Nikolas Fisher, Undergraduate Student, National Louis University
- Iker Gomez, Undergraduate Student, National Louis University
- Peer Herholz, Research Scientist, McGill University
- Jenny Hewson, Manager, NASA GSFC
- Jorge Lopez, Undergraduate Student, National Louis University
- Robyn Marowitz, Technical Analyst, NASA NSIDC
- Arina Moroz, Undergraduate Student, National Louis University
- America Munoz, Undergraduate Student, National Louis University
- Luana Sales, Research Scientist, Brazilian Institute of Information in Science and Technology
- Jonathan Sanchez, Undergraduate Student, National Louis University
- Alber Sánchez, Technical Analyst, National Institute for Space Research Brazil
- Aneese Williams, Environmental Management Systems Coordinator, West Palm Beach Florida
- Xuan Zhou, Phd Student, Texas State University
Open Science Subject Matter Experts
- Nancy Degan, Senior Advisor, Columbia University
- Laureline Josset, Research Scientist, Columbia University
- Ryan Mead, Director, SUNY Binghamton University
Module Development Team
- Deborah Balk, Director, CUNY Baruch
- Josh Brinks, Research Scientist, ISCIENCES LLC
- Camilla Green, Technical Analyst, Columbia University
- Kytt MacManus, Research Scientist, Columbia University
- Juan Martinez, Technical Analyst, Columbia University
- Thomas Parris, Director, ISCIENCES LLC
- Linda Pistolesi, Technical Analyst, Columbia University
- Eulalia Santin, Financial Analyst, Columbia University
- Sri Vinay, Technical Analyst, NASA ASDC
- Greg Yetman, Research Scientist, Columbia University
- Tracy Wen, Financial Analyst, Columbia University
- Hasim Engin, Research Scientist, Columbia University
- Josie Morkin, Technical Analyst, Columbia University
- Navin Aade, Masters Student, Columbia University
- Iris Cano, Masters Student, CUNY Baruch
Files
README.md
Additional details
Funding
- National Aeronautics and Space Administration
- 22-TOPST22-0024, Science Core Heuristics for Open Science Outcomes in Learning (SCHOOL) 80NSSC23K0862
Dates
- Submitted
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2026-01-05
Software
- Repository URL
- https://github.com/ciesin-geospatial/TOPSTSCHOOL-water
- Programming language
- Python , R
- Development Status
- Active