The dataset consists of pH, Loss on ignition (Soil organic matter) measurements and soil group information taken from soil samples from plots in 103 woodland sites surveyed across Great Britain in 1971 and again over the growing seasons of 2000, 2002 and 2003 (referred to as '2001 survey'), using exactly the same field methods. Data were collected under projects managed by The Nature Conservancy (in 1971) and the Centre for Ecology & Hydrology (in 2001). Full details about this dataset can be found at https://doi.org/10.5285/fb1e474d-456b-42a9-9a10-a02c35af10d2

The dataset consists of pH values from soil samples taken in Roudsea Wood National Nature Reserve in 1961. Soil samples were taken from between 5 and 10cm in depth from transects across the reserve and from under oak trees. pH was measured by the Woodlands Research Section at The Nature Conservancy's Merlewood Research Station, Grange over Sands, Cumbria and the data have been stored and digitised by the Centre for Ecology & Hydrology, Lancaster. Full details about this dataset can be found at https://doi.org/10.5285/1b977181-a3bf-4535-b38e-32509001f7aa

These datasets were used for a study investigating the prevalence of diurnal variability of soil nitrous oxide (N¬2O) emissions. The datasets contain 286 diurnal N¬2O flux datasets and 160 diurnal soil temperature datasets, which were extracted from 46 published journal articles that were selected from a literature search and passed through a set of eligibility criteria. The datasets also include processed diurnal N¬2O flux data, which were used to classify the diurnal N¬2O pattern of the datasets. Data of non-diurnal factors from the literature including soil pH, bulk density, soil texture, season of measurement, soil water-filled pore space, irrigation and grazing are also included in the datasets. Full details about this dataset can be found at https://doi.org/10.5285/94e37080-4383-4f6e-b14a-04ac2ac79bf0

Data comprise phytohormone concentrations (plant growth hormones: adenosine, zeatin, isopentenyladenosine, indole-3-acetic acid and abscisic acid) measured during plant growth experiments in soil and hydroponic growth media in the presence and absence of earthworms (Lumbricus terrestris and Eisenia fetida respectively). Also presented are plant biomass, pH of the hydroponic solution and soil biological activity (concentration of Fluorescein diacetate - a measure of the hydrolytic capacity) at the end of the study. The study was funded by the NERC (Grant number NE/M000648/1). Mass spectrometry was carried out in The York Centre of Excellence in Mass Spectrometry; the centre was created thanks to a major capital investment through Science City York, supported by Yorkshire Forward with funds from the Northern Way Initiative, and subsequent support from EPSRC (EP/K039660/1; EP/M028127/1). Full details about this dataset can be found at https://doi.org/10.5285/809cd6e8-0615-45ff-b79b-6ba1ae474713

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

This dataset consists of measures of topsoil mineralisable nitrogen (Mineral-N) from soils sampled from up to 256 1km squares across Great Britain in 2007. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the Centre for Ecology & Hydrology, with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to soil data, habitat areas, vegetation species data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey. Full details about this dataset can be found at https://doi.org/10.5285/3bafb72b-9f2a-4cbc-a7b8-46e3731c6759

The model-generated dataset includes simulated daily dry matter accumulation of above-ground organs (leaves, stems and grains) of winter wheat and maize, soil water content in different soil layers and organic matter stocks in the topsoil and subsoil layers, and final crop dry matter from 1983 to 2004 (wheat) or 2015 (maize). A prediction of the variables under various future climatic scenarios is also included. The SPACSYS model was applied to a historic experimental site on the Loess Plateau in China. Observed crop yields of winter wheat from 1993 to 2004 and maize from 1983 to 2015 were used to validate the model. The validated model was run again under different climate scenarios from 2015 to 2049 to predict daily dry matter accumulation of above-ground organs including leaves, stems and grains, daily soil water content in different layers and soil organic carbon stocks in the topsoil and subsoil layers. Full details about this dataset can be found at https://doi.org/10.5285/03e74f94-88a5-4f09-b9ea-1447dd3e2b85

This is an application providing code for the non-parametric comparison of soil depth profiles, and testing for significant differences between soil depth profiles, using bootstrapped Loess (local) regressions (BLR). The BLR approach was developed to be able to compare and test for significant differences in potentially non-linear depth profiles of soil properties across land use transitions, which does not need to meet any parametric distribution assumptions, and is intended to be generally applicable regardless of specific contexts of land use and soil type. A small dataset is provided with the code to demonstrate the BLR approach and its outputs. The code was written using the R statistical programming language and provides two examples of the BLR approach. This application was created by the Centre for Ecology & Hydrology at Lancaster in 2015 during the ELUM (Ecosystem Land Use Modelling & Soil Carbon GHG Flux Trial) project, which was commissioned and funded by the Energy Technologies Institute (ETI). Full details about this application can be found at https://doi.org/10.5285/d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478

An updated map of peat extent for Wales has been developed by the UK Centre for Ecology and Hydrology, with support from the British Geological Survey and Natural Resources Wales in support of the Glastir Monitoring & Evaluation Programme, commissioned by the Welsh Government. This map represents a considerable advance on previous attempts to map the deep peat resource of Wales and yields a significantly larger estimate than that based on the Soil Survey of England and Wales alone. This new map highlights the wide distribution of peatlands across much of Wales, with large areas of upland blanket bog in North east and North-central Wales (Migneint, Berwyn) and central Wales (Cambrian Mountains), as well as smaller areas of upland peat in and around the Brecon Beacons National Park. The new unified map also provides a much more detailed picture of the distribution of deep peat in the lowlands, many areas of which retain significant biodiversity interest. The Glastir Monitoring & Evaluation Programme was set up by the Welsh Government in 2013 to monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016. Full details about this dataset can be found at https://doi.org/10.5285/58139ce6-63f9-4444-9f77-fc7b5dcc00d8