The data include temperature and relative humidity (RH) values recorded every minute inside and outside whole-tree, passive heating, open top chambers. Respiration and photosynthesis rates were recorded (at incremental controlled leaf temperatures) on leaves on study individuals of Erythroxylum suberosum growing inside and outside the chambers. Temperature, RH, and solar irradiance were measured every fifteen minutes by local weather station are also included for the whole testing period, June to September 2020, in an area of typical Cerrado, Bacaba Park, Nova Xavantina, Brazil. The data were collected to enable development of methodology and testing of, a novel in situ passive heating method for evaluating whole-tree responses to daytime warming in remote environments using an open top chamber. Full details about this dataset can be found at https://doi.org/10.5285/2dcc08e9-d8e6-4675-b78d-a318efc799d8

The dataset contains information of Diameter at Breast Height (DBH) of 8,729 trees. These trees are distributed in 29 RAINFOR network forest plots across the Brazilian Amazon, comprising the states of Acre, Mato Grosso and Pará. All the plot censuses are located in terra-firme non-flooded lowland forests. The measurements were collected between 2017 and 2019. 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/10.5285/63d4b774-4e03-4db2-95ad-dcca18f0d681

This dataset includes charcoal reflectance measurements. The charcoal pieces were collected from the soil surface in tropical rainforest plots in Feliz Natal (southern Brazil, n= 75) and Pucallpa (Peru, n=14) in 2015. In total, 89 charcoal pieces were measured for reflectance. The reflectance measurements were taken in a minimum of 24 and a maximum of 70 repetitions per sample. Full details about this dataset can be found at https://doi.org/10.5285/b2b5498c-8eef-44b0-9610-844784f9f16b

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