This dataset contains Chemical Ablation Model version 3 (CABMOD3) simulations of metal ablation from meteoroids. This experiment was undertaken as part of Natural Environment Research Council (NERC) First study of the global Nickel and Aluminium Layers in the upper atmosphere (NIALL) project (NE/P001815/1). This project aimed to make the first ever study of Ni and Al chemistry in the mesosphere/lower thermosphere.

This dataset reports chemical speciation of airborne gas and aerosol particulate matter (PM) sampled in various locations on the Island of Hawai'i in 2018 and 2019. The 2018 samples were collected during a large eruption of Kilauea volcano. The 2019 samples were collected during a period of very low volcanic activity. Samples were collected in several locations on the Island of Hawai'i, Hawaii, USA. Time-series samples were collected at -Leilani Estates -Volcano village -Pahala, Ocean View -Kailua-Kona -Mauna Loa Observatory in 2018 and 2019. Point-source samples were collected at the following locations -The main erupting vent 'Fissure 8' on the Kilauea Volcano in 2018, and repeated in its vicinity post-eruption in 2019 - The lava ocean entry point in 2018 and repeated in its vicinity post-eruption in 2019. The samples were collected using filter packs (FP) and Sioutas cascade impactors (SKC). The instruments were used at ground-level in all cases except for samples FP_08_1, FP_ 09_1, FP_09_2, SKC_08 and SKC_09 which were attached to an Unoccupied Aircraft System (UAS) in order to safely access the erupting vent and the lava ocean entry. The samples were then analysed using inductively-coupled plasma mass spectroscopy (ICP-MS), inductively-coupled plasma optical emission spectroscopy (ICP-OES) and ion chromatography (IC). Sample analysis was done at the University of Leeds, United Kingdom (2018 samples) and the University of Leeds and Open University, United Kingdom (2019 samples). The results are reported as concentration per volume of air sampled (µg/m^3) to 2 significant figures. This was done to - assess the dispersion of major and trace elements in a volcanic plume, and quantify their depletion rates from the source into the far-field (up to ~240 km downwind) - assess the impact of volcanic emissions on the composition of the local atmosphere. The data were produced as a result of a collaborative project between the Universities of Leeds, Cambridge, Oxford (UK), Hawaiian Volcano Observatory of the United States Geological Survey, and the University of Hawai'i at Manoa (USA).

This dataset consists of metal concentrations measured from soils sampled across Great Britain in 1998. 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/def15f47-6aba-43db-a833-5844628a658b

This dataset estimates and spatially distributes anthropogenic emissions of five metals (Cd, Cu, Ni, Pb & Zn) and seven air pollutants (CO, NH3, NOx, PM2.5, PM10, SOx & NMVOCs) in the UK, on a 1km x 1km resolution, from 1750 to 2100. The data from 1970 to 2018 are represented by the UK’s National Atmospheric Emissions Inventory and, as such, the Selected Nomenclature for Air Pollution (SNAP) sector classification system is used throughout the entire time series for consistency (see https://naei.beis.gov.uk/ for details). The work was supported by the UK-SCAPE programme funded by Natural Environmental Research Council National Capability (Award NE/R016429/1) Full details about this dataset can be found at https://doi.org/10.5285/4b392dc0-0219-4494-8420-82e42b93b445

This dataset contains the concentrations of Ni, Cu, Zn, Cd and Pb, extracted from four soils, using the chemical extractants: 0.43 M HNO3, 0.43 M CH3COOH, 1 M CaCl2 and 0.05 M Na2H2EDTA (MExt mg/kg). The concentrations of isotopically exchangeable (labile) Ni, Cu, Zn, Cd and Pb (EValue mg/kg) are also given. Additionally, the concentrations of isotopically exchangeable soil metal, measured when the soils when suspended in each of the above extractants (EExt mg/kg), are presented. Full details about this dataset can be found at https://doi.org/10.5285/4ecdb4b3-3af6-4c92-abbb-20a330be398b

Greenhouse gas (GHG) concentrations, physio-chemical water properties, metal concentrations and carbon radiogenic and stable isotope data of the GHG were measured to investigate the properties of mine water from legacy coal mines across the Midland Valley, Scotland between June 2022 to September 2022. Sixteen identified outflows from abandoned coal mines were selected for measurement. The locations are distributed from Lathallan Mill in the northeast to Kames in the southwest and included mine water outflows from the Fife, Central (Lanarkshire), Lothian and Ayrshire coal fields. Some of the outflows had treatment systems and others discharged directly into rivers or streams. Full details about this dataset can be found at https://doi.org/10.5285/49daf07b-cfbe-48d1-8889-1adafe410a2e

Concentrations of trace metals in soils from a grid of sites located around a disused (since 2003) smelting works in the Avonmouth, UK, area. The soil samples were collected on 4th and 5th October 2007 and were analysed for concentrations of Aluminium and Iron, using inductively-coupled plasma optical emission spectrometry (ICPOES), and Chromium, Copper, Zinc, Nickel, Arsenic, Cadmium, Mercury and Lead, using inductively-coupled plasma mass spectrometry (ICPMS). The dataset also includes information on soil pH and soil organic matter content (loss on ignition).

This dataset contains biogeochemical measurements of surface water, sampled across Loch Etive, Scotland, between the 3rd and 7th of October 2022. The dataset encompasses 23 locations including nine open loch stations, four fish-farm adjacent loch sites, six river inflows, and four process experiment river sites, enabling a comparison of water chemistry across marine, freshwater, and anthropogenically influenced environments. Surface water samples were collected and analysed for an extensive range of biogeochemical parameters. In-field measurements included water temperature, pH, dissolved oxygen, and specific conductivity. Laboratory analyses comprised: - Alkalinity - Major nutrients, including nitrate, nitrite, ammonium, soluble reactive phosphorus (SRP), and silica - Dissolved and total organic and inorganic carbon and nitrogen (DOC, TIC, TDN) - Trace elements and rare earth elements (REEs), including lithium, barium, aluminium, and a full suite of lanthanides - Stable isotope composition of oxygen (δ18O), determined via isotope ratio mass spectrometry - Chromophoric and fluorescent dissolved organic matter (CDOM/FDOM), with derived indices such as fluorescence index (FI), biological index (BIX), and humification index (HIX) In addition to water chemistry, particulate samples were collected and analysed for total suspended solids (TSS), particulate organic matter (POM), particulate inorganic matter (PIM), chlorophyll-a concentration, and particulate organic carbon/nitrogen (POC/PON). Phytoplankton community composition was assessed by flow cytometry, quantifying major groups including diatoms, pico- and nano-chlorophytes, cryptophytes, and cyanobacteria. This comprehensive dataset is intended to inform biogeochemical process understanding in polar analogue environments and to validate analytical workflows and inter-institutional protocols. Full details about this dataset can be found at https://doi.org/10.5285/50f4344e-a79a-4e1f-a9ee-e7985ed847cd