Soilscapes is a 1:250,000 scale, simplified soils dataset covering England and Wales. It was created from the far more detailed National Soil Map (NATMAP Vector) held by Cranfield University, with the purpose of communicating effectively a general understanding of the variations which occur between soil types, and how soils affect the environment and landscape of the two countries. Soil exerts a strong influence on our whole ecosystem, being the foundation for many of the ecosystem services and functions recognised, and is a fragile resource that needs to be understood and protected.Soilscapes is one of our most popular datasets - and to encourage a wider understanding of soils, web access to this data is now made freely accessible. Soilscapes does away with confusing terminology, enabling informed decision-making by non-soil scientists who need to understand soil and how it affects broad landscapes. Using the Soilscapes web mapping service, it is simple to build up a good understand of many fundamental soil-landscape processes for any region across England and Wales.For more information about soils and soils data please visit the LandIS - Land Information System www.landis.org.uk

This map of the soils of England is a simplified version of the National Soil Map and has been produced by the National Soil Resources Institute (NSRI) of Cranfield University with support from the Department for Environment, Food and Rural Affairs. It shows, in simple terms, what the likely soil conditions are at any point in the landscape by reference to one of 27 different broad types of soil

NATMAP vector is a vector dataset and is the most detailed of four versions of the National Soil Map. is derived from the National Soil Map for England and Wales and is the product of sixty years of soil survey work in England and Wales.

Soil map for England and Wales — WRB 2006 tier 1 version

Data comprise results of a soil survey in England, Scotland and Wales carried out during 2013 and 2014 as part of the NERC Macronutrient Cycles project: LTLS : Analysing and simulating long-term and large-scale interactions of carbon nitrogen and phosphorus in UK land, freshwater and atmosphere. The data include bulk density measurements, charcoal and coal determinations, site locations and sampling dates, site vegetation data, soil chemistry and isotope data, soil classifications, information on soil cores collected and soil texture data. Full details about this dataset can be found at https://doi.org/10.5285/17bebd7e-d342-49fd-b631-841ff148ecb0

The Peat Layer was produced by Natural England (ARM team) during June - October 2008, with the aim of identifying the extent of three classes of peaty soils for the purposes of the Partnership Project to Protect and Enhance Peat Soils (aka. The Peat Project).The Peat Project is a joint initiative of:DefraNatural EnglandEnvironment AgencyForestry CommissionWelsh Assembly GovernmentCountryside Council for WalesNorthern Ireland Environment AgencyCadwDepartment for Energy and Climate Changeand aims to improve coordination between these partners in our efforts to understand, manage and restore peaty soils.BGS, Cranfield University (NSRI) and OS must be acknowledged in any reports or documents produced as a result of using the Peat layer.Full metadata can be viewed on data.gov.uk.

National coverage of the main soil types across Scotland mapped originally at 1:250 000 scale. The map is based on the systematic survey of the soils of Scotland 1947 and 1981. This dataset is the digital (vector) version of the paper Soils of Scotland 1:250,000 maps and is a reconnaissance scale soil map. This dataset is an inventory of the soils of Scotland and is the only soil map that covers all of the country. This version includes both the original 1984 and the 2013 soil classification, some minor polygon corrections and some alterations to the symbology used for display.

The original maps were published in the 1980s as 7 separate sheets with an associated handbook. They can now be viewed on, and downloaded from, The James Hutton Institute website. (www.hutton.ac.uk)

The dataset should be cited as: Soil Survey of Scotland Staff (1981). Soil maps of Scotland at a scale of 1:250 000. Macaulay Institute for Soil Research, Aberdeen. DOI: 10.5281/zenodo.4646891.

Metadata can be found at: https://spatialdata.gov.scot/geonetwork/srv/eng/catalog.search#/metadata/B7E65842-C041-4950-BF0C-3AF06C2DBAE7

This work was funded by the Rural & Environment Science & Analytical Services Division of the Scottish Government.

An understanding of the potential of different areas within a landscape to support different woodland types is crucial to planning the restoration and expansion of native woodland. The Native Woodland Model has been developed as a strategic tool to aid those involved in such projects, whether on currently unwooded land or in non-native forest plantations. It is suitable for use at scales above 1:50,000. The methodology relies on the interpretation of integrated soils and land cover data in relation to the growth requirements of different woodland types. Combinations of these attributes are assessed and an optimal native woodland type is assigned to each combination. This is a very pragmatic model and uses major soil subgroup and geology (effectively soil series in a Scottish context), rather than specific attributes and thresholds. This is then qualified by land cover which has been used to assess how the soil may or may not have been modified by human intervention. The approach might best be described as ‘map unit interpretation’, qualified by knowledge of current land cover (from LCS88, although LCM2000 is equally valid and possibly more so because of its currency). References:Towers, W., Hall J., Hester, A. Malcom, A. and Stone, D. (2004) The potential for native woodland in Scotland: the native woodland model. Scottish Natural Heritage.Towers, W., Hester, A.J., Malcolm, A., Stone, D. and Gray, H. (2002) The use of soils data in natural heritage planning and management. Soil Use and Management, 18, 26-33. Hester, A.J., Towers, W. and Malcolm, A. (2003) Modelling the potential distribution of woodland at the landscape scale. In: The restoration of wooded landscapes (Eds. J. Humphrey, A. Newton, J. Latham, H. Gray, K. Kirby. E. Poulson and C. Quine). Forestry Commission, Edinburgh. Towers, W., Hester, A.J., Malcolm, A., Hall, J. and Stone, D. (2004) The potential for native woodland in Scotland: the native woodland model. Scottish Natural Heritage, Battleby, Perth. Natural Heritage Management Series. 56p. Includes CD ROM. ISBN 1 85397 390 4 For more information on the Native Woodland Model, refer to http://www.landis.org.uk/services/ukso.cfm.

Cranfield University maintains all the published and unpublished paper soil reports and maps for England and Wales, and market and lease a wide body of digital soil information. These datasets are held in the LandIS relational 'land information system' and National Soils Inventory (NSI) both are maintained by Cranfield.

Natural Resources Wales (NRW) holds copies of these datasets which contain soil and soil-related information for Wales. These include both spatial and non spatial data as follows:

Spatial Data:

NATMAP vector: Derived from the National Soil Map, this displays the 300 mapped soil associations at a scale of 1:250,000 and urban soil linework to 1:50,000.

NSI - point set data covering England and Wales on a 5km grid providing detailed information including erosion, landuse, lithological information. Originally sampling from the 1980 with some re-sampling in the mid 1990s.

NSI Topsoil - includes information on Erosion, landuse and lithological information

NSI Profile - Detailed soil description and boundary information.

NSI Topsoil - Detailed measures of over 20 elements in the soil including pH

NSI Textures - soil texture

NSI Features - Provides depth data

Non spatial datasets:

HORIZON Fundamentals: Includes very detailed descriptions of the texture and other properties pertaining to the soils. This dataset provides the most detailed description of each horizon, or horizontal layer, determined for the soil series. It is based heavily on laboratory based analyses. -

HORIZON Hydraulics: Includes very detailed descriptions of the hydraulic properties pertaining to each layer, or horizon for each of the soils. This data is based heavily on laboratory based analyses. -

HORIZON Structure: This product contains soil series-layer properties which describe the respective structural properties of four successive nominal layers within each soil topsoil, upper subsoil, lower subsoil and substrate. -

NAPMAP Associations: List of soil series components of soil associations with proportions (%). - NATMAP Legend: Text descriptions of Geology, Soil and Site characteristics and of Cropping and Land Use for each map unit of the National Map. -

Soil Series Hydrology: This product contains many properties of soil series, most of which are hydrological in nature. - Soil Series Info: List of the basic soil types (or SERIES) which are components of the soil associations on the National Soil Map. - Soil Series Pesticide: Includes information useful for pesticide control such as pesticide leaching and runoff classes.

The Geological Survey of Northern Ireland (GSNI) and the British Geological Survey (BGS) completed a regional geochemical survey of Northern Ireland's soils, sediments and waters between 2004 and 2006.

Soil sampling of all of Northern Ireland was completed under the Tellus survey between 2004 and 2006. Soil samples were collected on a systematic basis from rural areas in most of the region, excluding only the major urban centres of Belfast and Bangor. Soils were also collected at a higher sampling density from the urban areas of Belfast, Bangor, Carrickfergus, Carryduff, Castlereagh, Greenisland, Holywood, Lisburn, Newtownabbey and Londonderry, although these urban results are not reported here.

In rural areas, samples were collected from alternate 1 km Irish national- grid squares. Site selection within each square was random, subject to the avoidance wherever possible of roads, tracks, railways, human habitation and other disturbed ground. At each site two composite samples of five auger flights were collected, each composite sample comprising approximately 750 g of unsieved material. Samples were collected using a hand auger with a 20 by 5 cm flight from a standard depth interval of 5–20 cm for designated ‘A’ samples, referred to subsequently as ‘surface soils’, and at 35–50 cm for designated ‘S’ samples (nominally the B horizon), referred to subsequently as ‘deep soils’. Some 6,862 regional soil sites were sampled (see supplementary map - soil locations) and analysed, resulting in an average regional sampling density of 1 site per 2 km2. Observations of soil colour, depth, clast lithology and abundance were recorded at site. The samples were classified into five textural groups (sand, sand-silt, silt, silt-clay and clay).

The methods used for urban soils were similar except that (1) the sample density was higher, at four sites per square kilometre; (2) the sample sites corresponded closely to a predefined grid and did not avoid areas of human influence. In addition, extra samples requiring special treatment were taken for the determination of selected organic constituents (Smyth, 2009: especially Appendix 1).

At each soil sample site, information on the location, site and catchment geology, contamination, land use, and other features required for data interpretation were entered onto field cards. The sample location was also plotted on a field copy of the 1:50 000 Ordnance Survey of Northern Ireland (OSNI) map.

Observations from field cards were entered into a digital Access2000™ database after undergoing a field quality control process (Lister et al, 2005). This involved checking that the correct codes had been recorded on field cards and that GPS coordinates recorded on the card matched those in the GPS unit for each site. Thus both a traditional paper archive of observations was maintained as well as the construction of a computerised database.

Soils were initially air-dried at the field-base prior to transport to the sample store where they were dried in a temperature controlled oven at 30°C for 2–3 days. At the end of each field campaign samples were checked against field sheets prior to packing for transport to the BGS laboratory for sample preparation. On arrival at the laboratory samples were checked against shipping lists prior to assigning laboratory batch numbers in the BGS UKAS Quality Assurance System. The A and S soils were prepared in the same manner in a trace-level sample preparation laboratory.

Samples were disaggregated prior to sieving to a <2 mm fraction using nylon mesh. Replicate samples were prepared by riffle splitting each of the duplicate samples. Soil pH and LOI was determined for every A surface soil sample. A representative 30 g (± 2 g) sub-sample was obtained by cone and quartering. This sub-sample was then milled in an agate ball mill at 300 rpm for 30 minutes.

Different analytical procedures were employed for the surface and deep soils. Pressed pellet production and XRF analysis were completed by laboratory on surface soils only. Sub-samples of milled soil were weighed and placed into tamper-evident plastic sample tubes. The XRF pressed pellet was prepared by adding an aliquot (3 g ±0.05 g) of two blended synthetic waxes comprising 90 % EMU 120 FD wax and 10 % Ceridust (both waxes are styrene based co-polymers) to 12 g (± 0.05 g) of milled material. This mixture was milled for 4 minutes at 300 rpm. On completion of the binder milling the prepared powders were placed into tamper evident plastic sample tubes for temporary storage prior to pellet preparation. Pellets (40 mm) were pressed using a calibrated Herzog semi-automatic pellet press at 25 kN.

Prior to analysis, concealed certified reference materials and secondary reference materials were inserted into the sample batches. XRF analysis of the A samples was undertaken at the BGS; ICP analysis of A and S samples at SGS Laboratories, Toronto; and fire-assay of S samples at SGS Laboratories, Toronto.

For the Tellus samples, Energy Dispersive Polarised X-Ray Fluorescence (ED(P)- XRF) spectrometers were used to analyse those elements for which the WD-XRF spectrometers were insufficiently sensitive. Certified Reference Material (CRM) standards were used to calibrate the instruments. The PANalytical software was used for spectral deconvolution and to fit calibration curves, applying matrix correction by internal ratio Compton correction method. The calibrations were validated by analysis of a wide range of RMs. The detectors were calibrated weekly. All backgrounds and peaks were corrected for instrument drift using two external ratio monitors, when required. Quality control was maintained by regular analysis of two glass monitor samples containing 47 elements at nominally 30 mg/ kg and 300 mg/kg. Results were presented as run charts for statistical analysis using statistical process control software (SPC).

The lower limits of detection are theoretical values for the concentration equivalent to three standard deviations (99.7 % confidence interval) above the background count rate for the analyte in an iron-rich alumino-silicate matrix. For silicate matrices the practical detection limits for most elements approach the theoretical values due to high instrumental stability. LLDs were calculated from a matrix blank and the ‘synthetic’ Pro-Trace standards.

Individual results are not reliable below the quoted lower limits, but reliable estimates of the average or typical values over an area may be obtained at lower levels of concentration; meaningful distribution patterns may thus be recognised for some elements at levels lower than the LLD.

The data are described in Young, Mike; Donald, Alex, eds. 2013 A guide to the Tellus data. Belfast, UK, Geological Survey of Northern Ireland, 233pp. available for free download from: http://nora.nerc.ac.uk/509171/

The Tellus survey was funded by the Department of Enterprise, Trade and Investment (DETI), now the Department for the Economy (DfE) in Northern Ireland and the INTERREG IVA programme of the European Union (EU) Regional Development Fund.

The database gives soil organic carbon, sand, silt and clay contents and bulk density weighted to reference layers from 0 to 30 cm and from 30 to 100 cm depths. The data are interpolated from information on soil types and land use on a 1 km grid across the UK and are used to estimate soil carbon stocks. The objective of this research was to derive high-resolution spatial data on soil and land-use data for use by dynamic simulation model of carbon fluxes from soils resulting from land-use change.

The Soil Spatial Distribution was based on the revised 1:250,000 national soil map for England and Wales, the 1:250,000 national soil map for Scotland and the 1:50,000 soil series map for Northern Ireland. Soil profile information were derived from the Soil Reference database and the National Soil Inventory for England and Wales, the Scottish soil database and the attribute database of all soil horizons at a 5km inspection pits sampled as part of the Department for Agriculture and Rural Development soil survey. References:Bradley, R.I., Milne, R., Bell, J., Lilly, A., Jordan, C. and Higgins, A. (2005) A soil carbon and land use database for the United Kingdom. Soil Use and Management 21:363-369.For more information on the Topsoil Carbon Stocks Map, refer to http://www.landis.org.uk/services/ukso.cfm.

The indicative soils map classifies the soils of Ireland on a categorically simplified but cartographically detailed basis into 25 classes, using an expert rule based methodology. Produced by Teagasc (Kinsealy), EPA and GSI.

The vector dataset provides detailed (1:10,000) soil type information for part (approximately half) of the Nations Forests. The main soil groups are given and for most polygons, a lower level of Soil Type is also provided. Additionally, for each spatially mapped polygon, up to 3 different soils may be identified and their percentage occurrence within that unit specified. Whilst the soil codes and percentage values are provided for all three potential soils identified within a single polygon, only the primary soil type is identified by name. The Forestry Commission (FC) soil classification system, listed by Pyatt (1982), is the one most commonly used in forest soil survey work; by foresters, forest managers and within FC publications and was specifically constructed to serve silviculture, distinguishing soils on the basis of drainage and nutrition. This system was used within the Ecological Site Classification (ESC): a PC-based decision support system for British Forests. Inevitably, the FC soil classification system has evolved since its conception; some soil types have been removed, others introduced.FC Soil CodesCode Group Type1 Brown Earth Typical brown earth1d Brown Earth Basic brown earth1u Brown Earth Upland brown earth1z Brown Earth Podzolic brown earth2 Man-made Soil2s Man-made Soil Mining spoil coarse texture2m Man-made Soil Mining spoil fine texture3 Podzol Typical podzol3m Podzol Hardpan podzol4 Ironpan Soil Typical ironpan soil4z Ironpan Soil Podzolic ironpan soil4b Ironpan Soil Intergrade ironpan soil5 Ground-water Gley Typical ground-water gley5b Ground-water Gley Brown ground-water gley6 Peaty Surface-water Gley Typical peaty surface-water gley6z Peaty Surface-water Gley Podzolic peaty surface-water gley7 Surface-water Gley Typical surface-water gley7b Surface-water Gley Brown surface-water gley7z Surface-water Gley Podzolic surface-water gley8 Basin Bog8a Basin Bog Phragmites bog8b Basin Bog Juncus articulatus or acutiflorus bog8c Basin Bog Juncus effusus bog8d Basin Bog Carex bog9 Flushed Blanket Bog9a Flushed Blanket Bog Molinia-Myrica-Salix bog9b Flushed Blanket Bog Tussocky Molinia-Calluna bog9c Flushed Blanket Bog Tussocky Molinia-Erophorum bog9d Flushed Blanket Bog Non-tussocky Molinia-Eriphorum-Trichphorum bog9e Flushed Blanket Bog Trichophorum-Calluna-Eriophorum-Molinia bog10 Flat or Raised Bogs10a Flat or Raised Bogs Lowland Sphagnum bog10b Flat or Raised Bogs Upland Sphagnum bog11 Unflushed Blanket Bog11a Unflushed Blanket Bog Calluna blanket bog11b Unflushed Blanket Bog Calluna-Eriophorum blanket bog11c Unflushed Blanket Bog Trichophorum-Calluna blanket bog11d Unflushed Blanket Bog Eriophorum blanket bog12 Calcareous Soil See additional Phase information12a Calcareous Soil Rendzina12b Calcareous Soil Calcareous brown earth12t Calcareous Soil Argillic brown earth13 Skeletal Soil13c Skeletal Soil Ranker complex13b Skeletal Soil Brown ranker13g Skeletal Soil Gley ranker13p Skeletal Soil Peaty ranker13z Skeletal Soil Podzolic ranker13r Skeletal Soil Rock13s Skeletal Soil Scree14 Eroded Bog Shallow hagged eroded bog14h Eroded Bog Deeply hagged erroded bog14w Eroded Bog Pooled eroded bog15 Littoral Soil15d Littoral Soil Dunes15e Littoral Soil Sand with deep water-table15g Littoral Soil Sand with shallow water-table15i Littoral Soil Sand with moderatley deep water-table15s Littoral Soil Shingle15w Littoral Soil Sand with very shallow water-tableVC Valley Complex Valley complex

This is a digital soil map of the Moor House - Upper Teesdale National Nature Reserve. Mapped polygons represent a range of soil types. 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) whcih is the UK's long-term environmental monitoring programme.

mixed sampling type - incorporates all previous detailed soil mapping augmented by a reconnaissance survey at 2-3/kme This dataset does not contain any soil parameter information.

Dataset Name: GSNI TELLUS Rural Soil SurveyData Owner: Geological Survey NIContact: gsni@economy-ni.gov.ukSource URL: https://admin.opendatani.gov.uk/dataset/rural-soil-surveyUploaded to SPACE Hub: 17/07/2023Update Frequency: InfrequentScale Threshold: N/AProjection : Irish GridFormat: Esri Feature Layer (Hosted) Vector PointNotes: Tellus Metadata: https://gsni-data.bgs.ac.uk/geonetwork/srv/eng/catalog.search#/metadata/062d0e21-a0b2-41f4-a39f-56381c8db86cThe Geological Survey of Northern Ireland (GSNI) and the British Geological Survey (BGS) completed a regional geochemical survey of Northern Ireland's soils between 2004 and 2006. Sampling and quality control were undertaken according to the G-BASE protocol of BGS. 6,862 sites were sampled (at depths of 20 cms and 50 cms) an average of one site per 2 km2.See https://www.opendatani.gov.uk/dataset/rural-soil-survey/resource/330e2a8f-db4e-42ec-9a66-145a5eb07c93 for methodology and detection limits.

The vector dataset provides detailed (1:10,000) soil type information for part (approximately half) of the Public Forest Estate across GB. The main Soil Groups are given and for most polygons, a lower level of Soil Type is also provided. Additionally, for each spatially mapped polygon, up to 3 different soils may be identified and their percentage occurrence within that unit specified. Whilst the soil codes and percentage values are provided for all three potential soils identified within a single polygon, only the primary soil type is identified by name. The Forestry Commission (FC) soil classification system, listed by Pyatt (1982), is the one most commonly used in forest soil survey work; by foresters, forest managers and within FC publications and was specifically constructed to serve silviculture, distinguishing soils on the basis of drainage and nutrition. This system was used within the Ecological Site Classification (ESC): a PC-based decision support system for British Forests. Inevitably, the FC soil classification system has evolved since its conception; some soil types have been removed, others introduced.FC Soil CodesCode Group Type1 Brown Earth Typical brown earth1d Brown Earth Basic brown earth1u Brown Earth Upland brown earth1z Brown Earth Podzolic brown earth2 Man-made Soil2s Man-made Soil Mining spoil coarse texture2m Man-made Soil Mining spoil fine texture3 Podzol Typical podzol3m Podzol Hardpan podzol4 Ironpan Soil Typical ironpan soil4z Ironpan Soil Podzolic ironpan soil4b Ironpan Soil Intergrade ironpan soil5 Ground-water Gley Typical ground-water gley5b Ground-water Gley Brown ground-water gley6 Peaty Surface-water Gley Typical peaty surface-water gley6z Peaty Surface-water Gley Podzolic peaty surface-water gley7 Surface-water Gley Typical surface-water gley7b Surface-water Gley Brown surface-water gley7z Surface-water Gley Podzolic surface-water gley8 Basin Bog8a Basin Bog Phragmites bog8b Basin Bog Juncus articulatus or acutiflorus bog8c Basin Bog Juncus effusus bog8d Basin Bog Carex bog9 Flushed Blanket Bog9a Flushed Blanket Bog Molinia-Myrica-Salix bog9b Flushed Blanket Bog Tussocky Molinia-Calluna bog9c Flushed Blanket Bog Tussocky Molinia-Erophorum bog9d Flushed Blanket Bog Non-tussocky Molinia-Eriphorum-Trichphorum bog9e Flushed Blanket Bog Trichophorum-Calluna-Eriophorum-Molinia bog10 Flat or Raised Bogs10a Flat or Raised Bogs Lowland Sphagnum bog10b Flat or Raised Bogs Upland Sphagnum bog11 Unflushed Blanket Bog11a Unflushed Blanket Bog Calluna blanket bog11b Unflushed Blanket Bog Calluna-Eriophorum blanket bog11c Unflushed Blanket Bog Trichophorum-Calluna blanket bog11d Unflushed Blanket Bog Eriophorum blanket bog12 Calcareous Soil See additional Phase information12a Calcareous Soil Rendzina12b Calcareous Soil Calcareous brown earth12t Calcareous Soil Argillic brown earth13 Skeletal Soil13c Skeletal Soil Ranker complex13b Skeletal Soil Brown ranker13g Skeletal Soil Gley ranker13p Skeletal Soil Peaty ranker13z Skeletal Soil Podzolic ranker13r Skeletal Soil Rock13s Skeletal Soil Scree14 Eroded Bog Shallow hagged eroded bog14h Eroded Bog Deeply hagged erroded bog14w Eroded Bog Pooled eroded bog15 Littoral Soil15d Littoral Soil Dunes15e Littoral Soil Sand with deep water-table15g Littoral Soil Sand with shallow water-table15i Littoral Soil Sand with moderatley deep water-table15s Littoral Soil Shingle15w Littoral Soil Sand with very shallow water-tableVC Valley Complex Valley complex

Profile soil analyses are available from a number of BGS programmes, notably the Mineral Reconnaissance Programme (MRP) and the Geochemical Baseline Survey of the Environment (G-BASE) programme. Sampling depth and range of analytes determined is very variable for the MRP. G-BASE samples are consistently from 35 - 50 cm though since 2003 it has become routine practice in the G-BASE project to collect a top soil and deeper profile sample from the same site but only analyses the top soil and store the profile soil. This also applies in urban areas. The G-BASE profile soils were generally sieved to 150 microns before analysis and determined by XRFS for some or all of: Mg, P, K, Ca, Ti, Mn, Fe, V, Cr, Co, Ba, Ni, Cu, Zn, Ga, As, Se, Rb, Sr, Y, Zr, Nb, Mo, Pb, Bi, Th, U, Ag, Cd, Sn, Sb, Cs, La, Ce, Ge, Sc, Se, Br, Hf, Ta, W, Tl, Te and I. MRP samples can include profile samples from greater than 1 meter collected using a power auger and also include till samples. The G-BASE samples are collected at a density of 1 sample per two square kilometres in rural areas and 4 samples every kilometre square in urban areas. MRP sampling was more site specific generally collecting soil samples along lines at spacing intervals generally 25 - 250 m.

Hazards data in Sichuan (Dechang, Anning River catchment), China. Data include rainfall, earthquake, river catchment, boundary, geological map, soil map, land-cover map, road-map, DEM.

Survey name: Bishop Auckland, Etherley Grange (Wear Valley L.P.) Post 1988 Agricultural Land Classification (ALC) site survey data - scanned original paper maps and survey reports for individual sites surveyed in detail between 1989 and 1999 by the Ministry of Agriculture Fisheries and Food. Where Grade 3 is mapped this includes the subdivision of Grade 3 into subgrades 3a and 3b. Surveys use the current grading methodology as described in "Agricultural Land Classification of England and Wales," a link for which is provided with the data. Individual sites have been mapped at varying scales and level of detail from 1:5,000 to 1:50,000 (typically 1:10,000). Unedited sample point soils data and soil pit descriptions are also available for some surveys. Attribution statement: Natural England copyright. Contains Ordnance Survey data. Crown copyright and database right [year]. Attribution statement: © Natural England copyright. Contains Ordnance Survey data. Crown copyright and database right [year].