CNSW 1.0: Prefectural Reconstruction of China's Surface Water Resources Using Machine Learning Methods.
- DOI
- 10.1038/s41597-025-05389-8
- Published
- 2025 Jun 19
- Container
- Scientific data
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 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/s41597-025-05389-8,
title = {CNSW 1.0: Prefectural Reconstruction of China's Surface Water Resources Using Machine Learning Methods.},
author = {Wang Q and Zhao F and Wang X and Shi W and Shan Y and Li Q and Liu D and Wu Y},
year = {2025},
journal = {Scientific data},
doi = {10.1038/s41597-025-05389-8},
url = {https://doi.org/10.1038/s41597-025-05389-8}
}RIS
TY - JOUR TI - CNSW 1.0: Prefectural Reconstruction of China's Surface Water Resources Using Machine Learning Methods. AU - Wang Q AU - Zhao F AU - Wang X AU - Shi W AU - Shan Y AU - Li Q AU - Liu D AU - Wu Y PY - 2025 JO - Scientific data DO - 10.1038/s41597-025-05389-8 UR - https://doi.org/10.1038/s41597-025-05389-8 ER -
APA
Q, W., F, Z., X, W., W, S., Y, S., Q, L., D, L., & Y, W. (2025). CNSW 1.0: Prefectural Reconstruction of China's Surface Water Resources Using Machine Learning Methods.. Scientific data. https://doi.org/10.1038/s41597-025-05389-8
Source records
- pubmed · retrieved 2026-09-25T20:08:40.188Z