This dataset comprises weekly water quality monitoring data of seven sites along the River Thames, UK, and sixteen of its major tributaries from Feburary 2009 to December 2023. Monitored determinands include major nutrient fractions, anions, cations, metals, pH, alkalinity, and chlorophyll. This catchment-wide biogeochemical monitoring platform captures changes in the water quality of the Thames basin during a period of rapid change, related to increasing pressures (due to a rapidly growing human population, increasing water demand and climate change) and improvements in sewage treatment processes and agricultural practices. The dataset provides the research community with a valuable data and modelling resource for furthering our understanding of pollution sources and dynamics, and vital underpinning environmental data required to best manage this vital drinking water resource, which is key for the sustainability of the city of London and the wider UK economy. Full details about this dataset can be found at https://doi.org/10.5285/703af27b-ce8c-44e0-ac20-b46e391a64ef

This data resource contains information on anthropogenic litter from the Portoviejo River, in Ecuador, collected between years 2021 and 2022. This work is part of the Natural Environment Research Council project “Reducing the impacts of plastic waste in the Eastern Pacific Ocean” (NE/V005448/1). The purpose of collecting this dataset was to obtain consistent observational data of solid waste contamination in a South American river system using a newly developed clean-up technology called the Azure System. The dataset contains information of weight (in kilograms) of different categories of anthropogenic litter collected using the Azure System, a floating barrier designed as a litter extraction tool for rivers. The system was developed by Ichthion Limited (https://ichthion.com/), who were also responsible for data collection on site. The barrier was installed at the city of Portoviejo, where litter was collected from February 2021 until December 2022 and quantities were reported weekly for each month. Full details about this dataset can be found at https://doi.org/10.5285/e78e1cef-e30b-4313-8733-c03e1a7b7b2f