This dataset comprises 115 records capturing the geographic locations, operational characteristics, and value chain roles of prominent mineral processing, refining, and recycling facilities. The data is structured to support strategic analysis of UK capability, including the types of operations undertaken, commodities handled, facility status, and indicative outputs where available. The dataset underpins the Critical Minerals Intelligence Centre’s interactive map of the UK, providing a high-level snapshot overview of key facilities operating across the UK critical minerals value chain. The data is intended to support policy development, market intelligence, and stakeholder understanding of the UK’s critical minerals processing and recycling landscape The data is intended to support policy development, market intelligence, and stakeholder understanding of the UK’s critical minerals processing and recycling landscape CMIC Interactive map: https://experience.arcgis.com/experience/6306721821554bbd8447802676695588

This dataset contains geochemical data from springs, streams and monsoonal rainwater samples, collected from the Melamchi Valley catchment, Nepal, between 2022 and 2025. The data includes analysis of major ions, stable water isotopes and Sr, Li, Si and C isotopes to investigate chemical weathering along mountain flow paths. Filtered water samples were collected across the Melamchi Valley catchment, with springs grouped into sub-linear transects. Additional time series samples span 2023 to 2025 at bi/weekly sampling at 5 sites.

Continuous seismic waveforms from a temporary network of 10 seismometers deployed around the United Downs Geothermal Project, Cornwall, between 2019 and 2021 as part of the NERC funded GWATT project. Data were recorded on Guralp CMG3-ESP broadband seismometers and digitised with a sample rate of 200 Hz. Raw data are stored in miniSEED format (https://ds.iris.edu/ds/nodes/dmc/data/formats/miniseed/). Metadata that allows the raw data to be converted to ground motions, as well as the location of the stations are stored in StationXML format (https://docs.fdsn.org/projects/stationxml/en/latest/overview.html). Both raw data and metadata are available from the UK node of the European Integrated Data Archive (https://eida.bgs.ac.uk) using standard FDSN webservices (https://www.fdsn.org/webservices/). Further details about the network are available at https://www.fdsn.org/networks/detail/9U_2019/. The DOI for this data set is https://doi.org/10.7914/hpf0-6r63.

The dataset includes whole rock geochemical data collected by X-Ray Fluorescence (XRF), and geochemical analyses of glass and plagioclase microlites collected by electron probe microanalysis (EPMA) at the University of Edinburgh. The samples are volcanic basalt to basaltic andesite and were collected from the Fuego volcano, Guatemala, between 2012 and 2025. The XRF data were produced by the XRF facility in the School of Geosciences at the University of Edinburgh and the EPMA data were collected by Amelia Bain on a Cameca micro-probe in the School of Geosciences.

This dataset includes records of insect pollinator and flower data from within a wide range of land use types across Wales, collected as part of the Environment and Rural Affairs Monitoring & Modelling Programme (ERAMMP) National Field Survey (NFS) between the summers of 2021-2023. Professional surveyors conducted transect surveys (counting pollinating insects) and timed observations (recording insect-flower interactions). Butterflies were recorded to species-level, and bees and hoverflies were recorded to functional group-level. Density of flowering plants on each transect section was recorded on a DAFOR-X scale. In total, 146 1 x 1 km grid squares in Wales were surveyed, with each visited twice in one year in either 2021 or 2023. ERAMMP NFS is a resurvey of all of the 300 locations from the initial Glastir Monitoring and Evaluation Programme (GMEP) monitoring program (300 1km squares) on a rolling annual basis, with the aim to resurvey all sites between 2021 and 2025. The initial monitoring program, GMEP, was set up by the Welsh Government in 2013 to report national trends and monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016. The field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales, and was managed by the UK Centre for Ecology & Hydrology. Full details about this dataset can be found at https://doi.org/10.5285/1b90ebdc-3aa3-4832-8a3f-067494d8d218

[This dataset is embargoed until September 30, 2027]. This data comprises key hydraulic and photosynthetic traits, nutrient concentration and plant structure for savanna species (trees, shrubs, grasses and herbaceous) of the Cerrado, collected in the Chapada dos Veadeiros National Park (PNCV; 14°05' S, 47°40' W), located in the central plateau region of Brazil in 2021. These data were collected throughout May-September 2021 on 19 woody species across 11 botanical families, and for 20 monocot species across 6 botanical families, including grasses, herbs and Velloziaceae. 32 plant functional traits were measured on the 19 woody species, and 17 plant functional traits were measured on the 20 monocot species. Trait collections followed standardised published methodologies. The aim of this data was to assess the functional trait space occupied by Cerrado species and whether they differed according to vegetation type, and whether certain species or plants from certain environments were more or less resistant to drought stress. This research was supported by Natural Environment Research Council (Grant: NE/S000011/1). Full details about this dataset can be found at https://doi.org/10.5285/e8cff3f4-60e5-46cf-a4d0-0f7ecf222ae4

This dataset contains condition assessments of historic assets and associated threat and severity assessments collected as part of the Environment and Rural Affairs Monitoring & Modelling Programme (ERAMMP) National Field Survey (NFS) between 2021 and 2023. Historic assets are divided into two types: scheduled monuments (SMs) and historic environmental features (HEFs). The ERAMMP NFS is a resurvey of all of the 300 locations from the initial Glastir Monitoring and Evaluation Programme (GMEP) monitoring program (300 1-km squares) on a rolling annual basis, with the aim to resurvey all sites between 2021 and 2025. Between 2021-2023 the ERAMMP National Field Survey resurveyed 225 of those 300 locations of which 95 locations had at least one historic asset located within. The initial monitoring program, GMEP, was set up by the Welsh Government in 2013 to report national trends and monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016. The field survey element was based on a stratified random sampling design of 300 x 1-km square sites across Wales of which 156 squares were identified to have at least one historic asset located within. The NFS was managed by the UK Centre for Ecology & Hydrology (UKCEH). Full details about this dataset can be found at https://doi.org/10.5285/d7eefcce-5dfd-4f5b-813c-8739c846df6c

This dataset consists of plant species presence and abundance in different sizes of plots recorded from 100 1km squares across Great Britain in 2025, as part of a rolling soil and vegetation monitoring program of 500 1km squares, beginning in 2019 and repeated every 5 years. 2025 represents the second year of a new cycle. The UKCEH 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 previously been carried out in 1978, 1984, 1990, 1998 and 2007 by the UK Centre for Ecology & Hydrology (UKCEH) and predecessors, 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 vegetation data, soil data are also gathered by the current phase of the Countryside Survey. This research was supported by NERC, through the UKCEH National Capability for UK Challenges Programme NE/Y006208/1 (www.countrysidesurvey.org.uk) Full details about this dataset can be found at https://doi.org/10.5285/bf8be82a-a189-4767-9a9a-ebb92d233b8e

Manual snow density (km m-3) from a 1-m deep snow profile from southwest Greenland (Camp Raven, 66.48 N, 46.30 W, 2331 m asl) during Summer 2024. The snow profile measurements were made adjacent to an autonomous atmospheric and glaciological platform (the SLEIGH) as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) experiment. Manual snow density was measured using American Avalanche Association classifications and procedures (Snow, Weather, and Avalanche Guidelines, 4th Edition, 2022). This profile was made 2-3 m away from the SLEIGH. This work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council.

This dataset collection contains manual and instrumented snow measurements collected at Camp Raven, located on the southwest sector of the Greenland Ice Sheet, during May and August 2024. The measurements were made as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) project, which extends the long-term ICECAPS program to include surface and snowpack processes relevant to Greenland's mass balance and surface energy budget. These data provide detailed information on the stratigraphy and physical properties of the near-surface snowpack, offering insight into seasonal evolution and melt-related transformations. The dataset collection includes: - Manual snow density - from 1-m snow profiles (two profiles in May, one in August). - Permittivity-based snow density - from a dielectric probe applied to the same profiles (two profiles in May, one in August). - Manual shear strength - from mechanical shear strength measurements in 1-m profiles (two profiles in May, one in August). - Snow specific surface area (SSA) - from field optical methods (two profiles in May, one in August). - Manual snow properties - layer identification, hand hardness, and snow grain size and habit (two profiles in May, one in August). Together, these datasets provide a comprehensive view of snow physical properties across the early melt season (May) and peak summer (August), allowing comparisons of density, strength, and microstructural characteristics. The Camp Raven observations complement the broader ICECAPS-MELT suite of measurements by linking surface meteorological and radiative conditions with snowpack evolution on the southwestern Greenland Ice Sheet. This work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council.