QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community. This dataset contains soil data generated from ISLSCP II. The International Satellite Land Surface Climatology Project, Initiative II (ISLSCP II) is a follow on project from The International Satellite Land Surface Climatology Project (ISLSCP). ISLSCP II had the lead role in addressing land-atmosphere interactions - process modelling, data retrieval algorithms, field experiment design and execution, and the development of global data sets.

This CD-ROM set contains the Volume 1 hydrology and soil data collection. The data covers a 24 month period, 1987-1988, and all but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). This dataset contains data covering: * Precipitation * Hydrology cover * River basin streamflow * Global soil properties

QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community. This dataset collection contains climatology, soil. population, ecosystem and land cover data. To facilitate this data exchange, and to avoid replication of the often labour-intensive efforts to source and visualize data, QUEST set up the QUEST Earth System Data Initiative - QESDI - a mechanism for easy, centralized access with flexible statistical and visualization tools for consistent processing and presentation of global data sets.

The data consist of daily maps of volumetric soil moisture predicted by a model based on a network of cosmic-ray neutron sensors (COSMOS-UK), the National River Flow Archive (NRFA) and remotely-sensed data. Maps cover the UK and Ireland at 2-km resolution in the Ordnance Survey National Grid (OSGB) projection. Maps are produced in near-real time, lagging by about one week. Data are available from early 2016 to 2023, on a daily basis. The model was calibrated on a network of cosmic-ray neutron sensors (COSMOS-UK) and remotely-sensed soil moisture data. A key parameter was estimated from the national-scale spatial pattern in the catchment response to rainfall seen in the National River Flow Archive (NRFA) data. Precipitation and humidity data to drive the model came from the Met Office High Resolution Numerical Weather Prediction model (NWP-UKV) which incorporates the C-band rainfall radar network. The maps have a variety of uses in hydrology and elsewhere, for example as inputs to ecosystem models of greenhouse gas exchange, where soil moisture affects numerous processes. The modelling was carried out as part of UK-SCAPE Virtual Survey Lab, and the NERC project "Detection and Attribution of Regional Emissions (DARE-UK)". There are some gaps in the time series of meteorological and remote sensing inputs, and data are unavailable for these days. The NRFA data are only available for Great Britain, so estimates in Ireland and continental Europe will be less accurate. Full details about this dataset can be found at https://doi.org/10.5285/5aa8c5b4-4485-4954-b5c3-18d937a418f7

In 1991 a nitrogen x phosphorus fertilisation experiment on dwarf shrub tundra close to Ny-Alesund, Svalbard was established. Treatments (0, 10, 50 kg N ha-1 yr-1; 0, 5 kg P ha-1 yr-1) were applied to Cassiope heath for 3 years and Dryas heath for 8 years. In 2011 the experiment was revisited to investigate the persistence of effects of fertilisation on species composition, vegetation nutrient status and ecosystem carbon stocks. The whole experiment has been led by Dr Sarah Woodin and colleagues, University of Aberdeen. The 2011 study, for which data are provided, was undertaken by Dr Lorna Street. Funded was provided by the NERC grant NE/I016899/1

The datasets consist of three csv files containing: (i) the numbers of DNA reads of 415 operational taxonomic units of fungi in 64 plots of a soil warming experiment sampled in 2007, 2009, 2010, 2011 and 2012, (ii) the taxonomic placements of the fungi and (iii) the treatments applied to the plots. The research was funded by an Antarctic Funding Initiative grant from the UK Natural Environment Research Council (NE/D00893X/1), a NERC GW4+ Doctoral Training Partnership studentship (grant number NE/L002434/1), NERC core funding to the British Antarctic Survey Long Term Monitoring and Survey programme, and monies derived from the University in Svalbard Arctic Mycology course (for which reference numbers are not available).

This dataset contains time series observations of surface-atmosphere exchanges of carbon, water, and energy, as well as supporting micrometeorological, soil physics, and vegetation measurements. Data have been obtained at ten eddy covariance (EC) flux observation sites across England and Wales. Sites were active for different time periods between 2018 and 2023. Flux data include net ecosystem carbon dioxide exchange (NEE), sensible heat (H), and latent heat (LE). Examples of ancillary and vegetation data include measurements of air temperature, relative humidity, barometric pressure, wind speed and direction, components of radiation, soil heat flux, soil temperature and moisture, precipitation, water table depth, biomass, leaf area index (LAI), and canopy height. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/06d7c463-298c-4c7e-a4c3-55d003aa91cb