Welcome! This repository contains the “beta version” of Datasheets for Earth Science Datasets released for feedback, comments, and questions from the broader Earth science community. Please check out the InstructionalGuide to learn more about filling out datasheets!
Read the preprint of our paper on datasheets for Earth science datasets here:
- Connolly, C.J. & Hueholt, D.M. (co-led), M.A. Burt. “Datasheets for Earth Science Datasets.” in review 2024 at Bulletin of the American Meteorological Society. Preprint at doi.org/10.31219/osf.io/hwa3p
- InstructionalGuide: Read this first! Describes the Datasheets for Earth Science Datasets concept, provides instructions for filling out a datasheet, and answers common questions.
- blank_EarthScienceDatasheet: A blank PDF datasheet template.
- blank_LaTeX/: Contains blank LaTeX datasheet files.
- demo_EarthScienceDatasheets/: Two demonstration datasheets filled out by Charlotte Connolly and Daniel Hueholt. Please read the InstructionalGuide file before the demonstration datasheets!
- We additionally link to the original paper by Gebru et al. proposing Datasheets for Datasets for software engineering. We have adapted this format for Earth science applications. (Please note that we had no relation to this original work.)
Charlotte Connolly
Email: cconn [at] rams.colostate.edu
PhD Candidate in Atmospheric Science at Colorado State University in the Barnes Group.
Daniel Hueholt
Email: daniel.hueholt [at] colostate.edu
PhD Candidate in Atmospheric Science at Colorado State University in the Barnes Group and Hurrell Group.
In addition to the two demonstration datasheets archived in this repository, we are currently tracking other datasheets which have been completed:
- Quantifying the Impact of Internal Variability on the CESM2 Control Algorithm for Stratospheric Aerosol Injection written by Charlotte Connolly using v0.4 (March 2024)
- Tornado Reports in Southeast South America written by Daniel Veloso Águila using v0.1 (January 2024)
- Climate speeds help frame relative ecological risk in future climate change and stratospheric aerosol injection scenarios written by Daniel Hueholt using v0.2 (February 2024)
- Optimizing Seasonal-To-Decadal Analog Forecasts With a Learned Spatially-Weighted Mask written by Jamin Rader using v0.2 (November 2023)
- Assessing Decadal Variability of Subseasonal Forecasts of Opportunity using Explainable AI written by Marybeth Arcodia using v0.0 (July 2023)
- mhws-esm written by Daniel Hueholt using v0.1 (April 2023)
The datasheet template files are licensed under Creative Commons 4.0.