This web map service (WMS) depicts estimates of mean values of soil bacteria, invertebrates, carbon, nutrients and pH within selected habitats and parent material characteristics across GB . Estimates were made using CS data using a mixed model approach. The estimated means of habitat/parent material combinations using 2007 data are modelled on dominant habitat and parent material characteristics derived from the Land Cover Map 2007 and Parent Material Model 2009, respectively. Bacteria data is representative of 0 - 15 cm soil depth and includes bacterial community structure as assessed by ordination scores. Invertebrate data is representative of 0 - 8 cm soil depth and includes Total catch, Mite:Springtail ratio, Number of broad taxa and Shannon diversity. Gravimetric moisture content (%) data is representative of 0 - 15 cm soil depth Carbon data is representative of 0-15 cm soil depth and includes Loss-on-ignition (%), Carbon concentration (g kg-1) and Carbon density (t ha-1). Loss-on-ignition was determined by combustion of 10g dry soil at 375 deg C for 16 hours; carbon concentration was estimated by multiplying LOI by a factor of 0.55, and carbon density was estimated by combining carbon concentration with bulk density estimates. Nutrient data is representative of 0 - 15 cm soil depth and includes total nitrogen (N) concentration (%), C:N ratio and Olsen-Phosphorus (mg/kg). pH and bulk density (g cm-3) data is representative of 0 - 15 cm soil depth. Topsoil pH was measured using 10g of field moist soil with 25ml de-ionised water giving a ratio of soil to water of 1:2.5 by weight; bulk density was estimated by making detailed weight measurements throughout the soil processing procedure. Areas, such as urban and littoral rock, are not sampled by CS and therefore have no associated data. Also, in some circumstances sample sizes for particular habitat/parent material combinations were insufficient to estimate mean values.

This web map service presents modelled estimates of soil pH, carbon concentration (g kg-1), nitrogen concentration (% dry weight soil) and invertebrate density (individuals m-2) at 1km2 resolution across Great Britain. A Generalized Additive Model approach was used with Countryside Survey soil data from 2007 and including climate, atmospheric deposition, habitat, soil and spatial predictors. The models are based on data from Countryside Survey sample locations across Great Britain and are representative of 0-8cm soil depth for invertebrates and 0-15 cm soil depth for other variables. The Countryside Survey looks at a range of physical, chemical and biological properties of the topsoil from a representative sample of habitats across the UK. Loss-on-ignition (LOI) was determined by combustion of 10g dry soil at 375 degrees Celsius for 16 hours; carbon concentration was estimated by multiplying LOI by a factor of 0.55. Soil N concentration was determined using a total elemental analyser. Soil pH was measured using 10g of field moist soil with 25ml de-ionised water giving a ratio of soil to water of 1:2.5 by weight. Soil invertebrates were extracted from cores using a dry Tullgren extraction method and enumerated by microscope

Map service of soil types, geology and vegetation in the Moor House region of the Moor House - Upper Teesdale National Nature Reserve. The site lies in the North Pennine uplands of England and has an area of 74 km2. It is England's highest and largest terrestrial National Nature Reserve (NNR), a UNESCO Biosphere Reserve and a European Special Protection Area. Habitats include exposed summits, extensive blanket peatlands, upland grasslands, pastures, hay meadows and deciduous woodland. Altitude ranges from 290 to 850 m. Moor House - Upper Teesdale is part of the Environmental Change Network (ECN) which is the UK's long-term environmental monitoring programme.

Gridded hydrological model soil moisture estimates on a 1km grid over Great Britain and Northern Ireland for the period Dec 1980 - Nov 2011 (units: m water/m soil). The data are provided in gridded netCDF files. There are separate files for Great Britain and Northern Ireland. To aid interpretation, two additional spatial datasets are provided: 1km x 1km grids identifying majority lake cells for a) Great Britain and b) Northern Ireland. The data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment; https://ukscape.ceh.ac.uk/, Work Package 2: Case Study - Water) a NERC-funded National Capability Science Single Centre award. Full details about this dataset can be found at https://doi.org/10.5285/c9a85f7c-45e2-4201-af82-4c833b3f2c5f

Physical and geochemical measurements of saltmarsh soils produced from 19 wide diameter gouge cores (60 mm in diameter) collected from 8 sites encompassing saltmarshes with different origins (natural, historic breach, managed realignment) in 2019. The work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1 Full details about this dataset can be found at https://doi.org/10.5285/fa3f4087-528e-4c5d-90d8-6bb4675d6317

This dataset contains soil water release curves and un-saturated hydraulic conductivity measurements from four long-term grassland-to-woodland land use contrasts across England between 2018 and 2021. Each land use contrast was assigned one grassland and one woodland plot respectively. Each of the plots was further divided into three grids (grassland grids 1 to 3 / woodland grids 4 to 6) with grids 1 and 6 being the furthest apart. The four grassland-to-woodland contrasts were located across England and sampled once : Gisburn (Gisburn-1, Gisburn-2), Wytham Woods, and Kielder Forest. Soil water release curves were measured for topsoil (0-5 cm) using the HYPROP system (UMS, Munich, Germany). Soil water infiltration (unsaturated hydraulic conductivity) was measured during soil sampling campaigns. Soil hydraulic measurements in this dataset are collocated with aboveground biomass production estimates and litter layer depth measurements, soil physical, chemical and biological properties (0-1 m), and earthworm counts and identification. A file is provided to connect all co-located measurements. This project was part of the UK-SCAPE programme which started in 2018 and was funded by the Natural Environment Research Council as National Capability (award number NE/R016429/1). Full details about this dataset can be found at https://doi.org/10.5285/419af5cd-8adc-4400-9a28-d8e1d48b0bd7

Data comprises of the uptake of the plant nutrient phosphorus (P) by seven common and often co-occurring herbaceous plants grown in limestone grassland soil in pots. P uptake is from one of three different sources of P that were injected into the soil, with the P sources being labelled with radio-isotope 33P, such that uptake of this could be quantified by assessing the radioactivity of the plant tissue. The plant species were grown in pots as monocultures, and as mixed communities containing all seven species. The 33P labelled P sources that were injected into the soil were orthophosphate, DNA and calcium phosphate. Assessment of the amount of 33P taken up was undertaken by harvesting and analysing plant shoots six days after the 33P source was injected into the soil. The datasets contain biomass of the harvested plant material, its radioactivity as assessed by scintillation counting, and the calculated proportion of the 33P supplied that was taken up into plant shoots. The data also contains % cover abundance values of the plant species from surveys undertaken at Wardlow Hay Cop, the limestone grassland from where the soil was sourced on which the plants were grown for the 33P addition study. Full details about this dataset can be found at https://doi.org/10.5285/87cdc267-a8c7-4f59-83b4-1bceaae837ad

Data comprise bracken biomass, soil and bracken chemistry (for example mass, bulk density, pH, carbon, nitrogen and the concentration of a range of other elements) precipitation, percentage ground cover of plant species and site information. Samples were collected between 21st July and 6th August 2014 at 49 plots in the English lake district and Snowdonia in Wales. Plots were located in stands with minimum 80% bracken cover and which had not been trampled by grazing animals. The study was funded by the UK Natural Environment Research Council under the Macronutrient Cycling Research Programme, as part of the Long-Term, Large-Scale (LTLS) project (Grant no. NE/J011533/1), and by the University of Liverpool (Grant no. NE/J011630/1). Full details about this dataset can be found at https://doi.org/10.5285/5b89d8f3-86f0-431c-844f-eda5ddae9042

Topsoil nutrient data - total nitrogen (N) concentration (%), C:N ratio and Olsen-Phosphorus (mg/kg). Data is representative of 0 - 15 cm soil depth. Cores from 256 1km x 1km squares across Great Britain were analysed in 2007. For total N concentration (and therefore C:N ratio), a total of 1024 cores were analysed, and for Olsen-P, a total of 1054 cores were analysed. See Emmett et al. 2010 for further details of sampling and methods (http://nora.nerc.ac.uk/id/eprint/5201/1/CS_UK_2007_TR3%5B1%5D.pdf) Estimates of mean values within selected habitats and parent material characteristics across GB were made using Countryside Survey (CS) data from 1978, 1998 and 2007 using a mixed model approach. The estimated means of habitat/parent material combinations are modelled on dominant habitat and parent material characteristics derived from the Land Cover Map 2007 and Parent Material Model 2009, respectively. The parent material characteristic used was that which minimised AIC in each model (see Dataset Documentation). Please see Scott, 2008 for further details of similar statistical analysis (http://nora.nerc.ac.uk/id/eprint/5202/1/CS_UK_2007_TR4%5B1%5D.pdf). Areas, such as urban and littoral rock, are not sampled by CS and therefore have no associated data. Also, in some circumstances sample sizes for particular habitat / parent material combinations were insufficient to estimate mean values. Full details about this dataset can be found at https://doi.org/10.5285/7055965b-7fe5-442b-902d-63193cbe001c

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