This dataset contains fire emissions from Equatorial Asia for the years 2004, 2006, 2009, 2012, 2014 and 2015. The data is based on the Fire Inventory from National Center for Atmospheric Research with the addition of emissions from Indonesian peat fires, which contribute substantially to fire emissions in the region. The files for each year contain daily information on the area burned and emissions of several species, including CO, CO2 and PM2.5. Data is given for individual fires at 1km resolution. Fire emissions are provided for each year both for fires as measured, and under a scenario where degraded peatland in the region has been partially restored, reducing fire emissions. Full details about this dataset can be found at https://doi.org/10.5285/fdae44ed-8b22-4935-b889-b4b271138385

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

This dataset contains measurements of soil pyrogenic carbon, ratio of %PyC to %Bulk Carbon and organic carbon, which were collected in a soil fertility gradient in the Amazon Basin. All samples were taken in old-growth forests. In total, 49 forest plots were sampled and analysed for PyC soil concentration, representing 395 soil samples. Full details about this dataset can be found at https://doi.org/10.5285/6410a578-d21a-4285-8e9c-57efbe2b60d5

This datasets contains measures of soil thaw depth from permafrost in subarctic Canada. Soil thaw depth was measured in 2013 and 2014 in sites from Yukon and Northwest Territories. Full details about this dataset can be found at https://doi.org/10.5285/fb88febb-9b53-4253-9856-7b35cbdf7080

This dataset contains details of sediment geochemistry, loss-on-ignition and sediment median particle size for two short reservoir cores collected from two reservoirs (Cowbury Dale and Higher Swineshaw), Stalybridge Tameside, Manchester. Cores were collected in 2018 following a severe moorland wildfire (July 2018) in the two reservoir catchments. Cores were collected from the deepest part of the reservoir using gravity coring and sampled at 2.5 mm intervals for analysis. The work was supported by the Natural Environment Research Council (Grant NE/S011560/1). Full details about this dataset can be found at https://doi.org/10.5285/4f447446-5461-48b2-b154-ff7094176502

This dataset includes measurements of stem respiration in 20 plots (250 x 10 m each) in the Brazilian Amazon. Study plots were distributed across a gradient of forest disturbance, including: undisturbed primary forests , logged primary forests, logged-and-burned primary forests, and secondary forests. Data were collected from June 2015 until July 2018. In December 2015, during the El Niño-mediated drought, eight of our study plots were affected by understory fires. Full details about this dataset can be found at https://doi.org/10.5285/4826f7c3-d6f2-47e5-8dda-c084e54720f6

This dataset contains details of sediment geochemistry, loss-on-ignition and sediment median particle size for terrestrial sediment samples collected across the stream network of Harehill and Swineshaw Moors, Stalybridge, Tameside, Manchester. Samples were collected on three occasions in 2018 following a severe moorland wildfire (July 2018). Sediment samples were collected using stream sediment traps which accumulated sediments between the dates of sampling. Sediment traps were emptied in the field and samples were returned to the laboratory for analysis. The work was supported by the Natural Environment Research Council (Grant NE/S011560/1). Full details about this dataset can be found at https://doi.org/10.5285/ad1bb542-e75c-423f-8421-b247b2f72ce6

The Gridded daily Agricultural Burning Emission Inventory of Eastern China dataset contains a unique high Spatio-temporal resolution agricultural burning inventory for eastern China for the years 2012-2015. The data was generated using twice daily fire radiative power (FRP) observations from the ‘small fire optimised’ VIIRS-IM FRP product, and combined with fire diurnal cycle information taken from the geostationary Himawari-8 satellite. This dataset was designed to fully take into account small fires well below the MODIS burned area or active fire detection limit, focusing on dry matter burned (DMB) and emissions of CO2, CO, PM2.5 and black carbon. The fuel for these fires is waste straw and other agricultural residues. Information from a crop rotation map to classify the type of agricultural residue being burned at each observed location and time, in addition to an agricultural area land map was also incorporated in consideration of this.

The ESA Fire Disturbance Climate Change Initiative (CCI) project has produced maps of global burned area derived from satellite observations. These MODIS Fire_cci v5.0 pixel products are distributed as 6 continental tiles and are based upon data from the MODIS instrument onboard the TERRA satellite at 250m resolution for the period 2001-2016. This is the first time that MODIS 250m resolution images are used for global burned area (BA) mapping. The Fire_cci v5.0 Pixel product described here includes maps at 0.00224573-degrees (approx. 250m) resolution. Burned area(BA) information includes 3 individual files, packed in a compressed tar.gz file: date of BA detection (labelled JD), the confidence level (CL, a probability value estimating the confidence that a pixel is actually burned), and the land cover (LC) information as defined in the Land_Cover_cci v1.6.1 product. Files are in GeoTIFF format using a geographic coordinate system based on the World Geodetic System (WGS84) reference ellipsoid and using Plate Carrée projection with geographical coordinates of equal pixel size. For further information on the product and its format see the Fire_cci Product User Guide in the linked documentation. Please note, a new version of this product (v5.1) is now available.