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

This dataset contains daily measurements of river flow velocity (m/s), river discharge (m3/s), river depth (cm), and river width (m) from the Portoviejo River, Ecuador, from years 2021 and 2022. This dataset was generated as part of the NERC funded project 'Reducing the impacts of plastic waste in the Eastern Pacific Ocean', which aims to “reduce plastic leakage in the Eastern Pacific region, supporting development of a sustainable, circular plastics resource flow and reducing the impacts of plastic pollution on livelihoods and wildlife”. This data was collected to monitor the river hydrological conditions alongside collections of anthropogenic litter using the Azure System developed by Ichthion Limited (https://ichthion.com/tecnologia/). Full details about this dataset can be found at https://doi.org/10.5285/6d2ad65f-1a8f-4819-892b-1b4de8d0d7c2

This dataset includes measurements of microbial community composition by phospholipid fatty acid (PLFA) analysis, soil respiration (Carbon dioxide (CO2)), soil physico-chemical properties and 13C enrichment in CO2 samples and microbial Phospholipid Fatty Acids (PLFAs). Data were produced for an investigation of the effects of carbon (C) substrate addition on soil carbon cycling processes in ten tropical soils from the Peruvian Andes. Soils were amended with 13C labelled substrates (xylose, glycine, vanillin and hemicellulose) and incubated under controlled conditions for seven days. Full details about this dataset can be found at https://doi.org/10.5285/cc264d08-ba89-42f0-a7cf-9c9477e1e2bd