Articles | Volume 16, issue 3
https://doi.org/10.5194/essd-16-1543-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-1543-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Dataset of stable isotopes of precipitation in the Eurasian continent
Longhu Chen
College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, Gansu, China
Shiyang River Ecological Environment Observation Station, Northwest Normal University, Lanzhou 730070, Gansu, China
Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730000, China
Qinqin Wang
College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, Gansu, China
Shiyang River Ecological Environment Observation Station, Northwest Normal University, Lanzhou 730070, Gansu, China
Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730000, China
College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, Gansu, China
Shiyang River Ecological Environment Observation Station, Northwest Normal University, Lanzhou 730070, Gansu, China
Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730000, China
Xinrui Lin
College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, Gansu, China
Shiyang River Ecological Environment Observation Station, Northwest Normal University, Lanzhou 730070, Gansu, China
Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730000, China
Dongdong Qiu
College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, Gansu, China
Shiyang River Ecological Environment Observation Station, Northwest Normal University, Lanzhou 730070, Gansu, China
Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730000, China
Yinying Jiao
College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, Gansu, China
Shiyang River Ecological Environment Observation Station, Northwest Normal University, Lanzhou 730070, Gansu, China
Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730000, China
Siyu Lu
College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, Gansu, China
Shiyang River Ecological Environment Observation Station, Northwest Normal University, Lanzhou 730070, Gansu, China
Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730000, China
Rui Li
College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, Gansu, China
Shiyang River Ecological Environment Observation Station, Northwest Normal University, Lanzhou 730070, Gansu, China
Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730000, China
Gaojia Meng
College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, Gansu, China
Shiyang River Ecological Environment Observation Station, Northwest Normal University, Lanzhou 730070, Gansu, China
Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730000, China
Yuhao Wang
College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, Gansu, China
Shiyang River Ecological Environment Observation Station, Northwest Normal University, Lanzhou 730070, Gansu, China
Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730000, China
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- Data mining-based machine learning methods for improving hydrological data: a case study of salinity field in the Western Arctic Ocean S. Tao et al. 10.3389/fmars.2024.1490548
- Monitoring and forecasting water erosion in response to climate change effects using the integration of the global RUSLE/SDR model and predictive models B. Fatima et al. 10.1016/j.apsoil.2025.105910
- Spatial pattern of amount effect of daily precipitation isotopes in China: A consideration of seasonality based on observation and simulation Y. Qian et al. 10.1016/j.jhydrol.2025.132793
- Drought assessment in the northeastern Aras Basin using multi-parameter aggregate drought index and innovative polygon trend analysis E. Topçu et al. 10.1007/s12145-025-01797-x
- An integrated approach for gully erosion susceptibility mapping and factor effect analysis J. Liu et al. 10.1016/j.asr.2024.12.021
- Multisensor Data Fusion and GIS-DRASTIC Integration for Groundwater Vulnerability Assessment With Rainfall Consideration W. Jiazhe et al. 10.1109/JSTARS.2024.3524376
- Future precipitation patterns: investigating the IDF curve shifts under CMIP6 pathways M. Khan et al. 10.2166/hydro.2025.092
- Chl-a Concentration Inversion Methods for Water Bodies With High TSM Concentrations Based on Waterbody Classification and Deep Learning J. Cui et al. 10.1109/JSTARS.2025.3536487
Latest update: 30 Mar 2025
Short summary
We have compiled data regarding stable precipitation isotopes from 842 sampling points throughout the Eurasian continent since 1961, accumulating a total of 51 753 data records. The collected data have undergone pre-processing and statistical analysis. We also analysed the spatiotemporal distribution of stable precipitation isotopes across the Eurasian continent and their interrelationships with meteorological elements.
We have compiled data regarding stable precipitation isotopes from 842 sampling points...
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