This dataset includes key leaf functional trait data collected from three common garden sites along an elevation/temperature gradient in the Colombian Andes. From eight species, there are a selection of leaf structural (leaf mass per unit area, leaf thickness, leaf dry matter content, leaf area, leaf width) nutrient (nitrogen and phosphorus, expressed on area- and mass-bases) and water-use efficiency (13C and g1) traits. Values for these traits were obtained by a combination of laboratory analysis, raw measurements with handheld equipment, and processing with packages in the ‘R’ environment. Full details about this dataset can be found at https://doi.org/10.5285/55ed98e7-f150-43c8-9b93-d639c1c8af3e

This dataset consists of a vector layer (based on 1 by 1° grid), of modelled daily surface nitrogen dioxide (NO2, ug m-3). A seasonal average value per grid cell was calculated for the grassland growing season (mid-April to mid-July), for the USA and UK, in 2018. Full details about this dataset can be found at https://doi.org/10.5285/d2524c77-c0b6-4228-a743-ec6f16623d80

[THIS DATASET HAS BEEN WITHDRAWN]. This dataset provides Concentration Based Estimated Deposition (CBED) values of sulphur and nitrogen atmospheric deposition for 1x1 kilometres (km) grid squares of the UK averaged over the years 2019 to 2021. The data consist of deposition values for sulphur, oxidised nitrogen and reduced nitrogen, and base cations. Total deposition is the sum of four components calculated separately: wet deposition, dry deposition of gases, dry deposition of particulate matter and cloud droplet deposition. Habitat-specific data are provided for (i) moorland/short vegetation everywhere, and (ii) forest everywhere. Additionally, the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) is also calculated. The habitat-specific data are recommended for use with critical loads for the calculation of critical load exceedances. The work in generating and compiling the dataset has been funded by the UK Centre for Ecology & Hydrology (UKCEH) and various Departments for Environment, Food & Rural Affairs (DEFRA) contracts. Full details about this dataset can be found at https://doi.org/10.5285/3d8bf867-fa2b-4273-b329-62b8f3ebed51

This dataset contains information on the performance of soil eubacteria inoculated into soil microcosms and exposed to a series of experimental droughts (or control conditions) in an experimental evolution study. Isolates of Bacillus and Pseudomonas included in the experimental evolution study had been sampled from the roots of Festuca ovina in the control treatment at the Buxton Climate Change Impacts Lab (BCCIL). Variables measured included estimates of microbial population size (via qPCR), microcosm soil respiration in response to substrate addition (in a substrate utilisation profiling assay) and water loss from the soil in response to the experimental drought/control treatments. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/4b27e5d5-2ec4-4b72-9939-ab66c2818612

This dataset includes tree ring width data, derived from tree cores, that were sampled from sites across the Rhön Biosphere Reserve (Germany). At each chosen site three trees were cored, with two or three cores taken per cored tree. Data was collected in August 2021. Full details about this dataset can be found at https://doi.org/10.5285/8d6effc3-54f2-4770-ac34-63320eb9e4e2

This dataset consists of measured data of flower numbers and flower size following ozone and warming treatments in the solardomes experimental facility at UKCEH. Ozone and meteorological conditions in the solardomes were also sampled continuously, and hourly data are provided for each parameter. The ozone exposure and warming treatments were from 1st June to 25th October 2021 and flowers were counted and measured monthly over the period June to September 2021. Plants were obtained as ‘plug plants’ and were grown in pots in the solardomes. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/a33d5ee3-d201-4feb-83b9-765ee5b2c25e

This dataset consists of a vector layer (based on 1 by 1degree grid), of modelled ozone flux (POD1IAM, mmol m-2), The values per grid cell are Phytotoxic Ozone Dose above a threshold of y (y=1 nmol m−2 sec−1 in this case) for use in large-scale Integrated Assessment Modelling (IAM). The accumulated flux value per 90-day grassland growing season (mid-April to mid-July) is provided per grid cell, for the year 2018, across the UK and USA. Full details about this dataset can be found at https://doi.org/10.5285/afadb068-7e35-4271-bf07-0227d0a7a10f

The dataset contains the isotopic composition of aquatic carbon forms obtained from peatland pools across six locations in Scotland and Northern Ireland. Samples were collected from the surface of peatland ponds. Variables include radiocarbon (14C) content, stable carbon (δ13C) isotopic content, and associated data used in the data analysis in the published manuscript collected from the study locations in 2014 and 2015. Full details about this dataset can be found at https://doi.org/10.5285/d417b1b9-eaba-4b9d-ba2c-dfb53973b113

The BGS PSA dataset provides insurers and homeowners access to a better understanding of the shrink-swell hazard at both the individual property and/or postcode level for Great Britain. It builds upon the GeoSure shrink-swell data by mapping the hazard to the individual building polygon and considering the other susceptibility factors of building type, foundation depth, and drainage and tree proximity. The user receives GIS building polygons with an overall susceptibility to subsidence score between 1-100. Scores are also classified from non-plastic to very high. Each building polygon is also scored from 1-10 for each subsidence factor (geology, foundation, drainage, building type, building storey and tree proximity). Postcode data is also available as a table and shapefiles showing the ‘average’ PSA score for all buildings within the postcode. The identification of shrink-swell related subsidence prone areas, alongside the inclusion of potential sources to exacerbate this phenomena, can better inform insurers and homeowners and form the basis to make decisions concerning prevention and remediation. The product enhances geological information obtained from GIP and GeoSure via the inclusion of the crucial shrink-swell susceptibility factors (proximity to trees and foundation depth). This therefore allows the derivation of a risk element for the housing stock at Building level, which is then generalised to Postcode level.

Demonstration of hydrothermal ammonium mobilization in the Paleoproterozoic with possible implications for biological productivity. The data include organic carbon and nitrogen abundances and isotopic ratios, as well as metal abundances. Samples span from sedimentary rocks to altered igneous rocks, where lithologies are provided in the CN data file. The N-enrichment in the usually N-poor igneous rocks indicates transfer of ammonium from organic-rich sediments and can be used to estimate the ammonium concentration of the hydrothermal fluid at the time of deposition. More details are provided in Stüeken, E.E., Kirsimäe, K., Lepland, A. and Prave, A.R., 2023, Astrobiology, 23(2), pp. 195-212.