ECHIDNA: Extreme Climate Historical and Future Indices Data under Numerous Approaches across Major Chinese River Basins Based on CMIP6 Multi-Model Ensemble
- DOI
- 10.1038/s41597-026-07510-x
- Published
- 2026-07-07
- Container
- Scientific Data
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1038/s41597-026-07510-x,
title = {ECHIDNA: Extreme Climate Historical and Future Indices Data under Numerous Approaches across Major Chinese River Basins Based on CMIP6 Multi-Model Ensemble},
author = {Le Xinlong and Kang Ling and Chen Hao},
year = {2026},
journal = {Scientific Data},
doi = {10.1038/s41597-026-07510-x},
url = {https://doi.org/10.1038/s41597-026-07510-x}
}RIS
TY - JOUR TI - ECHIDNA: Extreme Climate Historical and Future Indices Data under Numerous Approaches across Major Chinese River Basins Based on CMIP6 Multi-Model Ensemble AU - Le Xinlong AU - Kang Ling AU - Chen Hao PY - 2026 JO - Scientific Data DO - 10.1038/s41597-026-07510-x UR - https://doi.org/10.1038/s41597-026-07510-x ER -
APA
Xinlong, L., Ling, K., & Hao, C. (2026). ECHIDNA: Extreme Climate Historical and Future Indices Data under Numerous Approaches across Major Chinese River Basins Based on CMIP6 Multi-Model Ensemble. Scientific Data. https://doi.org/10.1038/s41597-026-07510-x
Source records
- crossref · retrieved 2026-09-25T20:27:05.553Z