Comprehensive large sample hydrological datasets, particularly the CAMELS datasets
(Catchment Attributes and Meteorology for Large-sample Studies), have advanced …

The Sagar district is the third-most populous district in the Indian state of Madhya Pradesh
and is known for wheat cultivation. The multi-criteria decision-making methods of (The …

Long‐term nitrogen (N) transport and retention dynamics across catchments are not well
understood. Using a process‐based model for 89 German catchments, results across study …

Large sample datasets are transforming hypothesis testing and model fidelity in the
catchment sciences, but few large stream water chemistry datasets exist with complementary …

With the booming big data techniques, large-sample hydrological analysis on streamflow
regime is becoming feasible, which could derive robust conclusions on hydrological …

Anthropogenic nutrient inputs led to severe degradation of surface water resources, affecting
aquatic ecosystem health and functioning. Ecosystem functions such as nutrient cycling and …

About half of the global drinking water comes from groundwater, yet groundwater quality is
threatened by high nitrate concentrations globally. Our understanding of groundwater nitrate …

Water quality data represent a critical resource for evaluation of the well-being of aquatic
ecosystems and assurance of clean water sources for human populations. While the …

Water pollution policies have been enacted across the globe to minimize the environmental
risks posed by micropollutants (MPs). For regulative institutions to be able to ensure the …

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 …