This dataset contains radiocarbon dating of pieces of macrocharcoal (~ ≥ 1 mm) collected from soil in Guyana, Peru and Brazil in plots located in the Amazon forest. All the sites are terra-firme, non-seasonally flooded and are part of the RAINFOR network. In total, 60 pieces of macrocharcoal were dated. The Amazon Forest Inventory Network is a long-term, international collaboration to understand the dynamics of Amazon ecosystems. Since 2000 they have developed a framework for systematic monitoring of forests from the ground-up, centred on plots that track the fate of trees and species, and includes soil and plant biogeochemical records, as well as intensive monitoring of carbon cycle processes at some sites. RAINFOR works with partners across the nations of Amazonia to support and sustain forest monitoring and help develop new generations of Amazon ecologists. The work of RAINFOR is currently supported by funding agencies in Brazil, the UK, and the EU. Full details about this dataset can be found at https://doi.org/10.5285/b06a08bc-39e5-4401-87dd-9568fd5048fd

This dataset includes measurements of carbon-14 transfer from plants to soil within mesh cores. Measurements were taken in roots, shoots, soil and from respiration. Mesh cores were either static or rotated to provide plus and minus mycorrhizal mycelial systems. Carbon-14 was traced through cores as respiration using KOH (Potassium hydroxide) traps. The experiment was carried out at the University of Sheffield using soil from the NERC Soil Biodiversity site in Scotland. The work was part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders. During the experiment, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/39b8bd96-af67-4f61-a040-0682043df938