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

The datasets contains monthly Leica LS15 precise levelling data which is used to measure monthly peat surface motion from 49 points in 1km2 of upland (RSPB Forsinard Knockfin Heights) and 49 points in a 1km2 of lowland (Plantlife Munsary) blanket peatland within the Flow Country, Caithness and Sutherland. Data was obtained between August 2017 and February 2019 covering the 2018 European Drought Event. Also included are loop closures and measurement standard deviation data. Full details about this dataset can be found at https://doi.org/10.5285/f4f79d46-dac7-4628-a0b3-7427761737a6

These data are the simulated peat heights and water-table depths (both in cm) from a DigiBog run. The virtual peatland was configured as a 2-D transect of 100 x 2m x 2m columns. The data were generated for each year of a 5,100-year run. After 4,900 years, six ditches were added and the model allowed to run for a further 100 years. After this time, the ditches were ‘restored’ and the simulation continued until a total runtime of 5,100 years had elapsed. Full details about this dataset can be found at https://doi.org/10.5285/1d16b303-ca1d-43b4-93b1-c8172adc9792

Automated measurements of water level and temperature at half-hourly intervals spanning parts of 2018, 2019 and 2020, from seven wetland sites in the Pastaza-Marañón Basin, Amazonian Peru. Full details about this dataset can be found at https://doi.org/10.5285/0d1d15da-e356-492d-88db-2dba3b9ec9b4

The datasets contain Interferometric Synthetic Aperture Radar (InSAR) measurements carried out over Caithness and Sutherland in order to measure peatland surface motion over the Flow Country using the Advanced Pixel System Intermittent Small Baseline Subset InSAR technique (APSIS InSAR). The data covers surface motion across all landcover types within the survey area. It includes timeseries of peat surface height and long term mean motion over the survey period. Data was collected on a 6-12 day basis from 12/3/2015-7/7/2019. Missing pixels are associated with low coherence and are excluded. Missing survey dates are associated with processing issues or poor coherence. Data processing was carried out by Terra Motion Ltd. Full details about this dataset can be found at https://doi.org/10.5285/7c2778bf-b498-4ba2-b8cb-60a2081e5ba7

The datasets contains monthly environmental data from HOBO dataloggers which were used to measure precipitation, air temperature, Photosynthetically Active Radiation (PAR), soil moisture, soil temperature and water level relative to surface from 6 points in 1km2 of upland (RSPB Forsinard Knockfin Heights) and 6 points in a 1km2 of lowland (Plantlife Munsary) blanket peatland within the Flow Country, Caithness and Sutherland. Data was obtained every 15 mins between September 2017 and November 2018 covering the 2018 European Drought Event. Full details about this dataset can be found at https://doi.org/10.5285/1be4eef2-0591-4073-bae2-e00b6ff4462f

This dataset contains the location, dimension, and ecological characteristics of 492 gully blocks on Kinder Scout, an upland peatland in the UK. Stone and timber dams were installed in 2013-2014 as part of peatland restoration works on Kinder Scout. The survey was undertaken to determine the longer-term (7-8 years) evolution of gully blocks. Location data for dam points was collected using a differential GPS (dGPS). Field measurements of dam dimensions and vegetation were carried out. Some dam characteristics were derived using geospatial methods. Ancillary vegetation data are provided in a separate file to the main dam survey data and can be matched on the dam identification number. Full details about this dataset can be found at https://doi.org/10.5285/6ab9c89d-7ba1-4bc8-afc6-c2563f4ff49b

This dataset contains time series observations of surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) measured at two managed lowland peatland environments in the East Anglian Fens, England, UK. One site is managed for the production of horticultural salad crops, the other is an area of managed grassland. Turbulent flux densities were monitored using the micrometeorological eddy covariance (EC) technique between 10th November 2016 and 25th September 2018 at the cropland site, and between 27th April 2017 and 31st March 2019 at the grassland. The dataset includes ancillary weather and soil physics observations, as well as variables describing atmospheric turbulence and the quality of the turbulent flux observations. Full details about this dataset can be found at https://doi.org/10.5285/2fe84b80-117a-4b19-a1f5-71bbd1dba9c9

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

This dataset contains laboratory measurements of peat depth, horizontal saturated hydraulic conductivity, dry bulk density, and the degree of peat humification (von Post scale) for degrading palsas at Rensjön palsa mire, Norrbotten, Sweden. Full details about this dataset can be found at https://doi.org/10.5285/5d0f211e-d391-4861-8f12-e04a65108ae7