These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MCD64A1 MCD64A1 Burned Area Product is a monthly Level-3 gridded 500-meter product containing per-pixel burning and quality information, and tile-level metadata. The MODIS Collection 6 burned-area mapping approach employs daily 500-m MODIS surface reflectance data coupled with 1-km MODIS active fire observations. The hybrid algorithm applies dynamic thresholds to composite imagery generated from a burn-sensitive vegetation index derived from MODIS short-wave infrared channels 5 and 7, and a measure of temporal texture. Cumulative active fire maps are used to guide the selection of burned and unburned training samples and to guide the specification of prior probabilities. The combined use of active-fire and reflectance data enables the algorithm to adapt regionally over a wide range of pre- and post-burn conditions and across multiple ecosystems. Shortname: MCD64A1 , Platform: Combined Aqua Terra , Instrument: MODIS , Processing Level: Level-3 , Spatial Resolution: 500 m , Temporal Resolution: monthly , ArchiveSets: 6 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE134 , File Naming Convention: MCD64A1.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Keywords: Climate Change, Fires, Wildfires

This dataset spans the Sinemurian-Pliensbachian boundary of the Llanbedr (Mochras Farm) drill core that was drilled onshore in the Cardigan Bay Basin, Wales, UK. This dataset contains 1. Micro-, macro-charcoal data and palynofacies, obtained at the University of Exeter (Streatham campus), UK, 2. Clay mineralogical data (X-ray diffraction (XRD)) obtained at the University of Burgundy, France, in collaboration with Jean-François Deconinck, 3. Carbon-isotope data, TOC and carbonate content, obtained at the University of Exeter (Penryn campus), UK. The dataset was created within the scope of the JET project (Integrated understanding of Early Jurassic Earth system and timescale) - https://gtr.ukri.org/projects?ref=NE%2FN018508%2F This project has received funding from the International Continental Scientific Drilling Programme (ICDP) and the UK Natural Environment Research Council (NERC). The PhD-project within this dataset was created is funded by the University of Exeter, UK.

This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model for the UK (EMEP4UK) driven by the Weather and Research Forecast model meteorology (WRF) applied to Southeast Asia. It provides daily average concentration of ozone and PM2.5, PM10 and ozone on a 0.1° x 0.1° grid for 2019 for 2 scenarios: (1) A baseline run (BASE) including wildfire emissions and (2) A scenario without wildfire emissions (NOFF). The EMEP4UK model version used here is rv5.0, and the WRF model version is 4.4.2. This work was supported by the Natural Environment Research Council as part of the NC for Global Challenges programme [NE/X006247/1] delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/b8fc9e84-c837-4ecf-a638-c0ef0900b9c3

This dataset describes the chemical and physical properties of wildfire ash collected following wildland fires in different ecosystems and burn severity conditions across the globe. For the chemical properties, ash was collected from sampling sites across eight countries (Australia, Canada, South Africa, US, UK, The Netherlands, Spain and Austria). For the physical properties, ash was collected from four locations in Tenerife (Spain), Victoria (Australia), Manchester (UK) and Idaho (US). Full details about this dataset can be found at https://doi.org/10.5285/cd3d8b4e-0e0c-461c-8ec4-55e81d32eebb

This dataset describes measurements of transport of ash by surface runoff using a laboratory setup (flumes). In the experiment, three inflow rates (0.25, 1 and 2 L/min) were applied to two typical ash depths found after wildfires (1 and 3 cm). Variables measured include ash depth (cm), inflow rate (L/min), runoff rate (L/sec), ash transport rate (g/sec), ash concentration in the runoff (g/L). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/351e2785-5a1e-4dbb-97c1-052f1290f0be

This dataset describes sediment yields measured in three different locations and time periods after forest fires in UK, Spain and Australia: - Madre del Agua (Tenerife, Spain): 17/08/18 to 14/11/2019 - Thompson (Victoria, Australia): 13/05/19 to 14/01/2020 - Saddleworth (Manchester, UK): 03/08/18 to 30/10/2019 Data were collected using erosion plots and silt fences at hillslope scale to monitor sediment and ash transport during rain events. Full details about this dataset can be found at https://doi.org/10.5285/a0417339-2c2b-4f68-9f47-c77a58cf42ca