Published June 17, 2026 | Version 2.1
Software Open

C-PEAT data retrieval from PANGAEA (R & Python)

Authors/Creators

  • 1. EDMO icon Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research
  • 2. ROR icon Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung

Description

This repository contains scripts to retrieve metadata and data from the PAGES C-PEAT Global Peatland Carbon Database (Loisel et al., 2026) published in the  PANGAEA repository (Felden et al., 2023).  
Two implementations are provided:

  • R scripts (R Core Team, 2022) using the pangaear package (Chamberlain et al., 2021)
  • Python Jupyter notebooks using the pangaeapy package (Huber at al., 2025)  

Files

Danapit/C-PEAT-2.1.zip

Files (240.2 kB)

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Additional details

Related works

Is supplement to
Software: https://github.com/Danapit/C-PEAT/tree/2.1 (URL)

Software

Repository URL
https://github.com/Danapit/C-PEAT
Programming language
R , Python , Jupyter Notebook

References

  • Chamberlain S, Woo K, MacDonald A, Zimmerman N, Simpson G (2021). pangaear: Client for the 'Pangaea' Database. R package version 1.1.0, https://CRAN.R-project.org/package=pangaear.
  • Felden, J; Möller, L; Schindler, U; Huber, R; Schumacher, S; Koppe, R; Diepenbroek, M; Glöckner, FO (2023). PANGAEA – Data Publisher for Earth & Environmental Science. Scientific Data, 10(1), 347, https://doi.org/10.1038/s41597-023-02269-x
  • Huber, R; Röttenbacher, J; Selke, N; CodeShredder; Spreckelen, F; Balamurugan, A; Lowe, S; Stocker, M; Kempf, D; Iris-Hinrichs; Schindler, U & qays abou housien. (2025). _pangaea-data-publisher/pangaeapy: v1.1.0 (v1.1.0)_. Zenodo. https://doi.org/10.5281/zenodo.15749619
  • Loisel, J, Gallego-Sala, A, Ransby, D, Rabel, E, Behrens, C, Schumacher, S, Todd-Brown, K, Marupaka, V and the C-PEAT Working Group Members (2026). C-PEAT's Global Peatland Carbon Database (v.2025). Earth System Science Data Discussions, https://doi.org/10.5194/essd-2026-222
  • R Core Team (2022). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/