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Dataset about Warming Effects on Carbon Cycling and Greenhouse Gas Fluxes in Permafrost Ecosystems
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  • Data Descriptor
  • Open access
  • Published: 14 January 2026

Dataset about Warming Effects on Carbon Cycling and Greenhouse Gas Fluxes in Permafrost Ecosystems

  • Tao Bao  ORCID: orcid.org/0000-0003-0262-63331,2,
  • Xiyan Xu  ORCID: orcid.org/0000-0003-2732-13251,
  • Gensuo Jia  ORCID: orcid.org/0000-0001-5950-95551,3,
  • Xingru Zhu1,
  • William J. Riley4 &
  • …
  • Yuanhe Yang  ORCID: orcid.org/0000-0002-5399-46063,5,6 

Scientific Data , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Climate-change impacts
  • Cryospheric science

Abstract

Field observations provide direct evidence of how does carbon cycling in permafrost ecosystems respond to climate change. This study provides a comprehensive dataset on the impact of warming on carbon cycling and greenhouse gas (GHG) fluxes in permafrost ecosystems. The dataset is extracted and integrated from 132 peer-reviewed studies with 1430 paired observations across eight major permafrost ecosystems, including Arctic and subarctic tundra and wetland, and alpine meadow, steppe, tundra and wetland. This dataset includes 17 variables from experiments conducted during the growing season, covering the plant and soil carbon pools, soil nitrogen pool, and GHG (i.e., CO2, CH4, and N2O) fluxes, among others. Background information on site climate conditions, vegetation and soil characteristics, and details of the warming experiments, including timing, methods, and warming magnitude, are also contained in the dataset. This dataset facilitates a comprehensive understanding of the impact of warming on carbon cycling and GHG fluxes in permafrost ecosystems, and provides supports for meta-analyses and literature reviews, remote sensing data validation, and land model development and parameterization.

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Data availability

All data supporting this Data Descriptor are openly available on figshare https://doi.org/10.6084/m9.figshare.2931208732.

Code availability

The dataset and related code are available on the figshare repository32. For any inquiries regarding code understanding or data usage, users can contact the corresponding author.

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Acknowledgements

We thank all the authors whose work was included in our dataset. This study is funded by National Key R&D Program of China (2022YFF0801904 to X.X. and 2024YFF1307603 to T.B.), and the Open Research Fund of the Key Laboratory of Ecosystem Carbon Source and Sink, China Meteorological Administration (ECSS-CMA), NUIST (ECSS-CMA202402 to T.B.), and Natural Science Foundation of China (#42206254 to T.B.). W.J.R. was supported by the Reducing Uncertainties in Biogeochemical Interactions through Synthesis and Computation (RUBISCO) Scientific Focus Area, Office of Biological and Environmental Research of the U.S. Department of Energy Office of Science. Lawrence Berkeley National Laboratory (LBNL) is managed by the University of California for the U.S. Department of Energy under contract DE-AC02-05CH11231.

Author information

Authors and Affiliations

  1. State Key Laboratory of Earth System Numerical Modeling and Application, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China

    Tao Bao, Xiyan Xu, Gensuo Jia & Xingru Zhu

  2. Key Laboratory of Ecosystem Carbon Source and Sink, China Meteorological Administration (ECSS-CMA), Wuxi University, Wuxi, Jiangsu, 214063, China

    Tao Bao

  3. University of Chinese Academy of Sciences, Beijing, 100049, China

    Gensuo Jia & Yuanhe Yang

  4. Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA

    William J. Riley

  5. State Key Laboratory of Forage Breeding-by-Design and Utilization; Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China

    Yuanhe Yang

  6. China National Botanical Garden, Beijing, 100093, China

    Yuanhe Yang

Authors
  1. Tao Bao
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  2. Xiyan Xu
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  3. Gensuo Jia
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  4. Xingru Zhu
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  5. William J. Riley
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  6. Yuanhe Yang
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Contributions

T.B., X.X. and G.J. conceived this paper. T.B. and X.Z. extracted and integrated the data from studies into Data_Permafrost_Carbon.xlsx. T.B. and X.X. summarized the dataset and drafted the manuscript. All authors revised and approved the manuscript.

Corresponding author

Correspondence to Xiyan Xu.

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Competing interests

The authors declare no competing interests.

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Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Cite this article

Bao, T., Xu, X., Jia, G. et al. Dataset about Warming Effects on Carbon Cycling and Greenhouse Gas Fluxes in Permafrost Ecosystems. Sci Data (2026). https://doi.org/10.1038/s41597-026-06600-0

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  • Received: 30 September 2025

  • Accepted: 08 January 2026

  • Published: 14 January 2026

  • DOI: https://doi.org/10.1038/s41597-026-06600-0

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