the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Water quality dataset in China
Jingyu Lin
Peng Wang
Jinzhu Wang
Youping Zhou
Xudong Zhou
Hao Zhang
Yanpeng Cai
Zhifeng Yang
Abstract. Water data is a crucial asset for sustainable water resource management. However, the availability of China’s water datasets lags far behind modern expectations for open geoscientific data. This dataset is a part of the China Water Data Archive (CWDA), an upcoming national collection of water-related data covering all aspects of water data for boosting data sharing in China. The CWDA aims at providing free, clean, non-sensitive, coherent, and reliable water data within China for global researchers to support the national and global water resources management and the United Nations-Water Integrated Monitoring Initiative for Sustainable Development Goals 6 and 14. In this paper, we used Python and R language to collect, tidy, reorganize, and curate the publicly available inland and coastal/ocean surface water quality data in China, following a series of data quality dimensions (integrity, completeness, consistency, and accuracy). As the most comprehensive, publicly available, handy, and clean water quality dataset in China so far, it included water quality data for daily, weekly, and monthly in the period of 1980–2022, with 17 indicators for over 330,000 observations at 2384 sites from inland to coastal/ocean areas. This dataset will greatly support works relevant to the assessment, modelling, and projection of water quality, ocean biomass, and biodiversity in China.
Jingyu Lin et al.
Status: open (until 10 Jul 2023)
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CC1: 'Comment on essd-2023-151', Rui Li, 19 May 2023
reply
This manuscript is a great work to water environment research because it shares with many valuable water quality dataset across China. However, the shared dataset seems to be not in good agreement with the information in the manuscript. We found the authors did not share the full dataset. I suggest the authors resubmitting the full dataset in the revised version.
Citation: https://doi.org/10.5194/essd-2023-151-CC1 -
CC2: 'Reply on CC1', Jingyu Lin, 20 May 2023
reply
Thanks for the comments. The full dataset should be available for downloading at the private link https://figshare.com/s/4f4af7fa7b8457467ea7. Otherwise, would you please let us know the missing data information so that we can supplement the dataset at the next version ?
Citation: https://doi.org/10.5194/essd-2023-151-CC2
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CC2: 'Reply on CC1', Jingyu Lin, 20 May 2023
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Jingyu Lin et al.
Jingyu Lin et al.
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