26 citations as recorded by crossref.

1. CAMELS-NZ: hydrometeorological time series and landscape attributes for New Zealand S. Bushra et al.
2. Simulation of Gauged and Ungauged Streamflow of Coastal Catchments across Australia M. Bari et al.
3. A framework on utilizing of publicly availability stream gauges datasets and deep learning in estimating monthly basin-scale runoff in ungauged regions M. Le et al.
4. A dataset of land surface characteristics and time-series hydrometeorological data for typical catchments in China (2003–2020) H. MA et al.
5. Caravan - A global community dataset for large-sample hydrology F. Kratzert et al.
6. Identification of unique ecosystem service bundles in farmland - A case study in the Huang-Huai-Hai Plain of China L. Gong et al.
7. CAMELS-IND: hydrometeorological time series and catchment attributes for 228 catchments in Peninsular India N. Mangukiya et al.
8. Atmospheric Drivers and Spatiotemporal Variability of Pan Evaporation Across China (2002–2018) S. Li & X. Li
9. Benchmarking data-driven rainfall-runoff modeling across 54 catchments in the Yellow River Basin: Overfitting, calibration length, dry frequency J. Jin et al.
10. A dataset of lake-catchment characteristics for the Tibetan Plateau J. Liu et al.
11. PatagoniaMet: A multi-source hydrometeorological dataset for Western Patagonia R. Aguayo et al.
12. Identification of spatially heterogeneous drivers of lake eutrophication in China with explainable automated machine learning W. Qin et al.
13. Identifying control factors of hydrological behavior through catchment classification in Mainland of China H. Xu et al.
14. Catchment Attributes and MEteorology for Large-Sample SPATially distributed analysis (CAMELS-SPAT): streamflow observations, forcing data and geospatial data for hydrologic studies across North America W. Knoben et al.
15. Catchment characterization: Current descriptors, knowledge gaps and future opportunities L. Tarasova et al.
16. Correlation change analysis and NDVI prediction in the Yellow River Basin of China using complex networks and GRNN-PSRLSTM Z. Meng et al.
17. A synthesis of Global Streamflow Characteristics, Hydrometeorology, and Catchment Attributes (GSHA) for large sample river-centric studies Z. Yin et al.
18. CAMELS-DK: hydrometeorological time series and landscape attributes for 3330 Danish catchments with streamflow observations from 304 gauged stations J. Liu et al.
19. FOCA: a new quality-controlled database of floods and catchment descriptors in Italy P. Claps et al.
20. Lowland transboundary river in a cold, semi-arid steppe: review of the Yesil River basin N. Ongdas et al.
21. BULL Database – Spanish Basin attributes for Unravelling Learning in Large-sample hydrology J. Senent-Aparicio et al.
22. How to out-perform default random forest regression: choosing hyperparameters for applications in large-sample hydrology D. Bilolikar et al.
23. Investigating the Spatiotemporal Dynamics of Temperature and Precipitation Extremes Across the Loess Plateau Region in China During 1982–2023 A. Rashid et al.
24. Res-CN (Reservoir dataset in China): hydrometeorological time series and landscape attributes across 3254 Chinese reservoirs Y. Shen et al.
25. CAMELS‐SE: Long‐term hydroclimatic observations (1961–2020) across 50 catchments in Sweden as a resource for modelling, education, and collaboration C. Teutschbein
26. EStreams: An integrated dataset and catalogue of streamflow, hydro-climatic and landscape variables for Europe T. do Nascimento et al.