pens
Utilities for comparing paleoclimate reconstruction ensembles
Science Score: 49.0%
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○CITATION.cff file
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✓.zenodo.json file
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✓DOI references
Found 9 DOI reference(s) in README -
✓Academic publication links
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○Scientific vocabulary similarity
Low similarity (6.3%) to scientific vocabulary
Keywords
Repository
Utilities for comparing paleoclimate reconstruction ensembles
Basic Info
- Host: GitHub
- Owner: LinkedEarth
- License: gpl-3.0
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://linked.earth/pens
- Size: 136 MB
Statistics
- Stars: 5
- Watchers: 4
- Forks: 0
- Open Issues: 0
- Releases: 1
Topics
Metadata Files
README.md
pens: utilities for comparing paleoclimate reconstruction ensembles
pens provides a tools for comparing paleoclimate reconstruction ensembles to each other and to other traces, as used in Emile-Geay et al. (2025).
[!NOTE] If you use
pensin any way for your publications, please cite: + Emile-Geay, J., Hakim, G.J., Viens, F., Zhu, F., Amrhein, D.E., 2025. Temporal Comparisons Involving Paleoclimate Data Assimilation: Challenges and Remedies. Journal of Climate. https://doi.org/10.1175/JCLI-D-24-0101.1 + Zhu, F., & Emile-Geay, J. (2024). pens: Utilities for comparing paleoclimate reconstruction ensembles (2024.12.11). Zenodo. https://doi.org/10.5281/zenodo.14397028
The authors gratefully acknowledge funding from grant 1948822 by the National Science Foundation.
Documentation
- Homepage: http://linked.earth/pens
- Installation: https://linked.earth/pens/ug-installation.html
- Notebooks: https://linked.earth/pens/ug-eg25.html
Owner
- Name: LinkedEarth
- Login: LinkedEarth
- Kind: organization
- Email: linkedearth@gmail.com
- Location: Los Angeles, CA
- Website: linked.earth
- Twitter: Linked_Earth
- Repositories: 34
- Profile: https://github.com/LinkedEarth
GitHub Events
Total
- Release event: 1
- Push event: 22
- Create event: 2
Last Year
- Release event: 1
- Push event: 22
- Create event: 2
Dependencies
- cftime *
- dask *
- more_itertools *
- pandas *
- properscoring *
- pyleoclim *
- scikit-learn *
- statsmodels *
- stochastic *
- termcolor *
- tqdm *
- xarray *