This repository provides datasets of fuels and fire emissions for the Amazon and Cerrado that were derived and analysed in the publication by Forkel et al. (2024). This publication demonstrates the first application and benchmarking of the TUD.S4F and KNMI.S5p approaches to estimate fire emissions and to investigate the effects of woody debris on fire emissions. TUD.S4F, developed at TUD Dresden University of Technology, is a satellite data-model fusion approach that combines several satellite products to estimate fuel loads, fuel moisture, fuel consumption, and fire emissions. Emission factors are computed dynamically depending on fuel type and fuel composition. TUD.S4F (version 0.2) is described in the Methods and Supplementary material of Forkel et al. (2024) and the related model code is available here: https://doi.org/10.5281/zenodo.14274230. TUD-S4F provides fuel loads, fuel consumption and fire emissions at a spatial resolution of 333 x 333 m and aggregated to 0.1 x 0.1° for the Amazon/Cerrado for the period 2014-01-01 to 2021-10-20 at 10-daily time step. KNMI.S5p provides fire emission for carbon monoxide (CO) and nitrogen oxides (NO) derived from Sentinel-5p observations. The data is provided at 0.1 x 0.1° and at daily time step for the year 2020. Both TUD.S4F and KNMI.S5p are products of the Sense4Fire projected, awarded from the European Space Agency to TU Dresden, the Royal Dutch Meteorological Institute (KNMI) and BeZero Carbon Ltd.