This dataset contains high-speed video recordings and particle image velocimetry (PIV) analysis results from granular flow experiments performed on an inclined flume with a fixed rough substrate, at the University of Edinburgh. Included are the high-speed videos (.mp4), a Word document outlining the experimental details and analysis methods, and figures displaying key analytical results of vertical velocity and granular temperature profiles. The flows consist of sand particles with a volumetric mean diameter of 875 µm, propagating over a substrate of coarser sand with a mean diameter of 1063 µm. Experimental conditions include varying slope angles (34°–42°) to investigate the influence of inclination on flow dynamics. PIV was used to analyse the videos, generating vertical velocity profiles and granular temperature profiles. Lens distortion was corrected using MATLAB to ensure accurate measurements. This dataset is relevant to those interested in granular flow dynamics, natural hazard modelling (e.g., landslides, pyroclastic density currents), and granular flow industrial applications.

These data are digital elevation models which describe landscape topography. The data were created to support analysis of landscape change following the 7th February 2021 avalanche-debris flow in Chamoli District, Uttarakhand, India. The data were used as standalone datasets to support this analysis, but also supported numerical modelling using CAESAR-Lisflood (see data collection). The DEMs were created from CNES/Airbus Pléiades-HR stereo satellite imagery captured in along-track mode. They are a geospatial dataset created in raster (.tif) format. They are most commonly imported into GIS software, where they can be analysed or support other forms of geospatial analysis. Full details about this dataset can be found at https://doi.org/10.5285/5a1eaef4-9211-4227-a017-d20b08be5784

This collection brings together five interrelated datasets from the University of Hull research program on the turbulent suspension of sediment in stratified shear flows. It includes: numerical simulations of thermally stratified and sediment-laden channel flows performed using open-source NEK5000 v19, with initial conditions and post processed data; experimental measurements from a novel Stratified Flow Facility (SFF), with raw and processed (insitu) ultrasonic and optical equipment; and a full brief of facility design. The collection also links to a GitHub repository containing a Python-based processing suite for stratified flow simulations and experiments. Together, these datasets provide raw and processed data, experimental metadata, and technical documentation to support the study of turbulence, internal waves, particle transport, and measurement methodologies in stratified fluid dynamics.

This service is a representation of the Land Classification of Great Britain. The Land Classification is a classification of sets of environmental strata (land classes) to be used as a basis for ecological survey. The classification was originally developed by the Institute of Terrestrial Ecology (ITE) in the late 1970s. The strata were created from the multivariate analysis of 75 environmental variables, including climatic data, topographic data, human geographical features and geology data. The Land Classification has provided a stratification for successive ecological surveys (the Countryside Survey of Great Britain), the results of which have characterised the classes in terms of botanical, zoological and landscape features. Additionally, the Land Classification can be used to stratify a wide range of ecological and biogeographical surveys to improve the efficiency of collection, analysis and presentation of information derived from a sample. There are three layers in this WMS (1) the 1990 version of the Land Classification which contains 32 classes - classifying all 240,000km squares in Great Britain (2) the 1998 version in which the Land Classification was adjusted to 40 classes as a consequence of the need to provide National Estimates for habitats in Scotland in addition to GB (3) the 2007 version in which the Land Classification was adjusted once again, to 45 classes, as a consequence of the need to provide Wales-only estimates in addition to those for Scotland and GB.

This web map service displays existing and potential areas of habitats associated with calcareous, coastal, upland and lowland heath landscapes. The dataset was initially created to provide a sampling framework for a field survey carried out in 1992 and 1993 by the Institute of Terrestrial Ecology (later part of the Centre for Ecology & Hydrology). It was derived from a range of geology, soils, altitude and land cover data.

This web map service provides a 1km resolution gridded coverage of wooded areas in riparian zones (river- or streamsides) across Great Britain. The areas classified as riparian in this dataset are defined by a 50 metre buffer applied to the CEH 1:50000 watercourse network. Wooded areas within this zone are identified as those classified by the Land Cover Map of Great Britain 2007 as either coniferous or deciduous woodland. The data are aggregated to a 1km resolution.

Results of piston cylinder experiments on lower-crustal material from the Ivrea Zone, Italian Alps. Natural sulfides and sulfide-silicate mixes from lower crustal cumulates were heated and pressurised to conditions matching those of the MASH zone, which is hypothesised to be the source of metals for post-collisional porphyry Cu deposits. This was done in order to simulate partial melting and examine the mobility of metals in this environment. This data contains experimental logs stating the experimental conditions; reflected light photographs of the experimental capsules; scanning electron microscope element maps and identification of platinum group minerals and precious metal minerals in the capsules; and trace element concentration of sulfides in the capsules. This data was collected as part of the TeaSe consortium NERC grant in order to test hypotheses about porphyry Cu deposit formation. This data was collected by researchers at Cardiff University and the University of Edinburgh.

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.

This is the web map service (WMS) for the 25m rasterised land parcels dataset of the UKCEH Land Cover Map of 2018 (LCM2018). It describes Great Britain and Northern Ireland land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. The data was derived by rasterising the corresponding LCM2018 land parcels datasets into 25m pixels. 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.

This view shows a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. Each 1km pixel represents the dominant aggregate class across the 1km area. The aggregate classes are aggregations of the target classes, broadly representing Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2007. LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2007 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.