This dataset contains inputs for wildfire simulations in Fire Dynamics Simulator (FDS) in forest environments. It includes five segmented point clouds in LAS format, representing different fuel classes from a forest plot, each with an associated BDF (Bulk Density Files) file. The forest plot consists of a 40 x 40 m Pinus ponderosa plot scanned with a Riegl-VZ400i in Sycan Marsh, Oregon, USA, during the summer of 2019. The dataset also contains Fire Dynamics Simulator (FDS) input files detailing the configuration for three separate simulations. These resources support modelling and simulation efforts to better understand fire behaviour in forest ecosystems. Full details about this dataset can be found at https://doi.org/10.5285/467a735f-b03c-4c30-8781-82f0e11aec28

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 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

This dataset contains details of digital elevation models (DEM) and orthomosaic photographs (orthophotos) of seven 5 x 5 m erosion plots on Iron Tongue Hill, Tameside, Manchester. Plots were surveyed on ten occasions in 2018/2019 following a severe moorland wildfire (July 2018). Plots were surveyed using ground-based photogrammetry and Struture-from-Motion methods. 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/10.5285/756d3a73-ca93-456f-8c0a-e767fb9f82a8

This dataset was constructed to characterise the invasion dynamics of Pinus radiata from seeds released from commercial plantations into surrounding areas, preferably those dominated by native species, in two situations: after the occurrence of forest fires and in the absence of them. Demographic data were collected concerning three key factors of the invasion process: a) The seed source, in this case, the commercial plantation, where the age, tree density, cone production, and the proportion of cones that remained closed were recorded; b) the characteristics of the habitat surrounding the plantation, as a receiving system for the seeds; this included an assessment of ground cover, understory cover, and canopy cover; and c) The natural regeneration of P. radiata was evaluated regarding its density, ages, heights, and the presence of cones. Information was collected in five geographic areas of Chile: in three of them we were able to establish six study sites per area (three burned and three unburned sites), but in two regions there were no register of recent fires, so only three unburned sites per area were established. Three transects were established in each study site. Fires occurred between 2010 and 2021, and data was collected between 2020 and 2021. Full details about this dataset can be found at https://doi.org/10.5285/43dc564c-2054-4e5a-950c-031d35521ebf

The dataset contains water chemistry data collected from peatland headwaters across the Flow Country following a wildfire in May 2019. Samples were collected on a monthly basis from 52 sites across the region from September 2019 to October 2020. Sampling sites were selected to represent peatland catchments in the following conditions: burned near natural, burned drained, unburned near natural, unburned drained and unburned forested. Data were obtained via collection of water samples in situ, and concentrations were derived via subsequent sample processing and analysis. Full details about this dataset can be found at https://doi.org/10.5285/57748e4f-d0a4-4648-8a61-bd1c2066db1e

These datasets contain sampled fuel moisture content data for vegetation, organic soil and leaf litter as part of the UK Fire Danger Rating System project funded by NERC (NE/T003553/1). The sampled vegetation comprises both live and dead heather, gorse, bracken, moor grass and moss. Where relevant, the canopy/leaves and stem were sampled separately. The datasets also contain associated information about the sample site characteristics (land cover class, elevation, slope and aspect) and meteorological variables (temperature, relative humidity and wind speed at the time of sampling). There are three datasets included which represent three separate studies: (i) UK-wide dataset which contains samples from sites across the UK from 2021-2023; (ii) North Yorkshire Moors dataset which contains samples from the North Yorkshire Moors, where sites were chosen to represent a combination of landscape characteristics, from five days in 2021; (iii) West Midlands dataset which contains samples from multiple volunteers on one day only across two sites. Full details about this dataset can be found at https://doi.org/10.5285/9334118f-3389-4a13-89a1-d75ec6fcc43a

This dataset contains fuel moisture contents and flammability metrics for samples of common heather (Calluna vulgaris) collected across the United Kingdom between 15th April and 20th May 2023. A total of 830 samples were used to measure fuel moisture content (FMC), and 130 of these were also subjected to calorimetric analysis. FMC data were obtained gravimetrically by weighing samples before and after drying. Flammability data were obtained by micro-scale combustion calorimetry, which measures heat release related to flaming combustion of a fuel material. The flammability metrics recorded were the heat release capacity (HRC), peak heat release rate (PHRR), total heat release (THR), and temperature at maximum rate of decomposition (Tmax). These data will contribute to the development of models of fuel moisture variability in UK fuels, and thus refine inputs for fire behaviour modelling, which can inform land management strategies in relation to wildfire risk. Full details about this dataset can be found at https://doi.org/10.5285/64d340d7-8f19-49f9-90e0-83d4013e76c2

Location of peat cores and peat properties including moisture, bulk density, ash and organic matter content for short cores (50 cm) collected 10 month post-fire in high, medium and low severity areas within a drained and a near natural area in the footprint of a severe wildfire that impacted >6500 ha of blanket bog and wet heath in the Flow Country of Northern Scotland. Full details about this dataset can be found at https://doi.org/10.5285/31d3b90b-ca4d-41db-bf29-c9f7a426a0cc

A large area of the Chernobyl Exclusion Zone was affected by severe wildfires in April 2020. This dataset presents the results of a study conducted following the fire in September/October 2020 to measure the migration of 137Cs and 90Sr in soils collected from three study sites located within forested areas on the left bank of the Pripyat River within the Chornobyl Exclusion Zone. Data comprise activity concentrations of 90Sr and 137Cs measured in soil samples. Soils were sampled layer-by-layer (0-10 cm, 10-20 cm, 20-30 cm, 40-50 cm, 50-60 cm, 60-70 cm, 70-80 cm, 80-90 cm, and 90-100 cm) from three locations at each of the three study sites. At each of the three study sites, circular plots were established on September 21st 2020 and soil samples collected; the circular plots were of different sizes dependent upon tree density. On October 8th 2020 a tripod was installed at the centre of each study site; the plot coordinates were noted and information on the trees present recorded (diameter, height and condition (dead or alive)). The dataset comprises two files. These files contain information on site and sampling locations, date of sampling, Cs-137 and Sr-90 activity concentration ((Bq kg-1) and analysis uncertainty (2-sigma)) in soil samples taken at 10cm intervals to a depth of 1 m, tree condition after wildfire (measured October 8th 2020); tree diameter (measured at a height of 1.3 m above ground level) and tree height (m). Full details about this dataset can be found at https://doi.org/10.5285/72c05810-eb66-49e1-9107-dec8cde3b07e