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    <identifier>10.57760/sciencedb.44684</identifier>
    <datestamp>2026-07-30T11:09:20Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2026-07-30</dc:date>
  <dc:title>Global reconstructed and simulated lake surface temperature dataset for impact attribution</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.44684</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This repository contains the datasets associated with the paper:Impact attribution of anthropogenic forcing on lake surface temperatureThe dataset includes:Daily and annual mean reconstructed lake surface temperature for approximately 600,000 global lakes;Update note: the time coverage of reconstructed lake surface temperature has been extended from 1950&amp;ndash;2020/2023 (as analyzed in the paper) to 1950&amp;ndash;2024 in this repository;Annual mean lake surface temperatures simulated using GCM data under different forcing experiments (historical, SSP2-4.5, hist-GHG, hist-aer, hist-nat, piControl, etc.);Analyzed data used to reproduce all main figures in the paper.ContentsPaperData Folder containing the analyzed data used to generate main figureshist-GHG.tar.gz Lake surface temperature simulations under GHG-only forcinghist-aer.tar.gz Lake surface temperature simulations under aerosol-only forcinghist-nat.tar.gz Lake surface temperature simulations under natural forcing onlyhist-noLu.tar.gz Lake surface temperature simulations under all forcings except land usehistorical_ssp245.tar.gz Lake surface temperature simulations from historical (1850&amp;ndash;2014) to SSP2-4.5 (2015&amp;ndash;2100)obs_recon.tar.gz Reconstructed lake surface temperature from observations for ~600,000 global lakespic.tar.gz piControl simulations (pre-industrial baseline)plot_functions.py Core Python functions for generating figuresplot_main_figures.ipynb Jupyter notebook to reproduce all main figures in the paperData detailsEach *.tar.gz data file contains annual mean lake surface temperature processed for figure reproduction. Data are organized by GCM model. For example, hist-noLu.tar.gz extracts to:hist-noLu/
└── yr/
    ├── CMCC-ESM2_hist-noLu_1950-2014.zarr
    ├── GFDL-ESM4_hist-noLu_1950-2014.zarr
    ├── EC-Earth3-CC_hist-noLu_1950-2014.zarr
    ├── UKESM1-0-LL_hist-noLu_1950-2014.zarr
    └── BCC-CSM2-MR_hist-noLu_1950-2014.zarr
All GCM-based simulation data cover 1950&amp;ndash;2014, except historical_ssp245 which extends to 2020 under SSP2-4.5.obs_recon.tar.gz provides reconstructed daily and annual mean lake surface temperature for approximately 600,000 global lakes, covering 1950&amp;ndash;2024.Code usagePut plot_functions.py, plot_main_figures.ipynb, and PaperData in the same folder, then run the Jupyter notebook to reproduce all main figures:jupyter notebook plot_main_figures.ipynb
CitationIf you use this dataset, please cite:Xiwen Wang, Kun Shi, Boqiang Qin, &amp;amp; R. Iestyn Woolway (2026). Impact attribution of anthropogenic forcing on lake surface temperature, Nature Communications, https://doi.org/10.1038/s41467-026-76221-z</dc:description>
  <dc:subject>lake surface temperature; impact attribution;  climate change</dc:subject>
  <dc:creator>Kun Shi</dc:creator>
  <dc:creator>Xiwen Wang</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.1038/s41467-026-76221-z</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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