This dataset contains the results of a laboratory study investigating the dissolution of UO3•nH2O particles in dynamic sediment/groundwater column systems, representative of the shallow subsurface at the Sellafield Ltd. site, UK. Measurements were carried out to determine the extent of uranic particle dissolution and the speciation of dissolved uranium within the columns under contrasting biogeochemical conditions (oxic and electron-donor amended). Columns effluents were analysed periodically for key biogeochemical indicators (nitrate, sulfate) and trace metals (iron, manganese, uranium) and systems were sacrificed after 6 and 12 months of groundwater flow. Upon sacrifice, columns were cross-sectioned, and the sediment structure preserved for synchrotron micro-focus X-ray Fluorescence (XRF) mapping, and uranium L-edge X-ray Absorption Spectroscopy (XAS) measurements. Sub-samples of column sediments were also analysed for acid extractable metals, microbial abundance and classification and bioavailable Fe(II) concentrations. Experiments were performed between March 2016 and March 2017. Subsequent analyses were performed between March 2017 and December 2018. This data was collected as part of the project: Understanding radioactive ‘hot’ particle evolution in the environment funded by the UK Natural Environment Research Council (grant NE/M014088/1). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/2702e1b0-13df-4ae4-9f91-4ac4bd07bbf1

This dataset contains soil microbial carbon cycling parameters (growth, respiration, carbon use efficiency) using O18-incorporation into DNA method, microbial biomass by fumigation-extraction), bacterial and fungal necromass concentrations (by amino sugars), soil chemical properties (nutrients, pH), and soil extracellular enzyme activities and climate properties for two experimental soil systems. All measurements are made across two experimental systems over a 3.4 km elevation gradient in the Peruvian Andes (Manu National Park). The first system includes measurements for 14 x 1 ha permanent sampling plots situated across the 3.4 km elevation gradient. The second system includes measurements for a soil translocation experiment where soil cores were translocated reciprocally across 4 sites spanning the gradient; representing a temperature manipulation experiment. The measurements were collected after 11 years of temperature manipulation, in 2020-2021. This dataset was created to understand how temperature affects microbial carbon cycling process in soils, across two different time-frames (long-term vs 11-years of climate perturbation). Full details about this dataset can be found at https://doi.org/10.5285/4077c5f8-9a36-4112-8a86-604ccffbb363

This is a dataset of environmental variables, total invertebrate abundance, and mean invertebrate body mass, sampled at 60 soil habitat patches in the Hengill geothermal valley, Iceland, from May to July 2015. The habitat patches span a temperature gradient of 5 to 22 deg C on average over the sampling period, yet they occur within 2 km of each other and have similar soil moisture, pH, total carbon, and total nitrogen. Full details about this dataset can be found at https://doi.org/10.5285/e00770f3-4acf-4fd5-ba29-0a4dbdca09a4

A 9.5 m long gravity core (PS100-198GC) and 44 cm box core (PS100-198BC) were collected from the same location from a water depth of 398 m from the Norske Trough on the inner continental shelf of NE Greenland. The material was collected during cruise PS100 of the RV Polarstern to NE Greenland in 2016 to investigate the interaction between the Northeast Greenland Ice Stream (NEGIS) and ocean circulation through the Holocene. The following parameters were measured: GEOTEK Multi-Sensor Core Logger (MSCL, gravity core only, Durham University, DU); foraminiferal faunal analysis (DU) and stable isotopes (oxygen and carbon, measured at the NERC National Environmental Isotope Facility); carbon analysis (box core only, DU); dinoflagellate cysts and other palynomorphs (box core only, Geological Survey of Denmark and Greenland, GEUS); sea ice biomarkers (IP25 and HBI III, box core only, University of Helsinki). This research was supported by the following grants: Alfred Wegener Institute (AWI) grant for ship time: AWI_PS100_01; NERC standard grant: NE/N011228/1; NERC National Environmental Isotope Facility grant: IP-1816-0618; NERC Radiocarbon Facility grant: NRCF010001, allocation no. 2113.0418; Independent Research Council Denmark grant to Sofia Ribeiro: 9064-00039B.

This is a dataset of environmental data, percentage vegetation cover, total invertebrate abundance, and mean invertebrate body mass, sampled at 96 soil habitat patches in the Hengill geothermal valley, Iceland, in July 2013. The habitat patches span a temperature gradient of 7-38 degrees C, yet they occur within 2 km of each other and have similar soil moisture, pH, total carbon, and total nitrogen. Effects of soil temperature on the structure and diversity of plant and invertebrate communities using this dataset are presented in Robinson et al. (2018), published in the Journal of Animal Ecology. Full details about this dataset can be found at https://doi.org/10.5285/0f074839-1630-4ccd-aa63-84d0da16b28a

This data set is a combination of trapping data, tracking data and data on the genetic relatedness and gut microbiome composition of wild rodents caught in 2.3 ha study site in Nash’s Copse, Silwood Park, from November 2014 to November 2015. As part of a longer-term capture-mark-recapture study, three species of rodents were trapped with Sherman live-traps fortnightly for 12 months: wood mouse (Apodemus sylvaticus), yellow-necked mouse (Apodemus flavicollis) and bank vole (Myodes glaerolus). Upon capture, they were measured, weighted, sexed, aged and a tissue sample and a faecal sample were collected from all mouse individuals for genetic and microbiome analyses. All rodents were released to their location of capture. First time each individual was captured, they were injected with a permanent subcutaneous identification Radio-Frequency Identification(RFID)-tag (Passive Integrated Transponde-tag). The tagged rodents were subsequently tracked with a set of custom-made tracking devices (loggers). Loggers produced dense time-stamped occurrence data suitable for inferring spatio-temporal activity patterns of rodents, such as temporal niches, home ranges and social networks. Tissue samples were used to genotype the wood mouse population and bacterial DNA extracted from faecal samples were used to profile their gut microbiome composition. This work was funded by a NERC independent Research Fellowship to Sarah Knowles (NE/L011867/1) Full details about this dataset can be found at https://doi.org/10.5285/c67fde7f-a1c8-4cb4-a76e-0c6d21c82222

This is a dataset of environmental data, vegetation cover, and community- and species-level invertebrate herbivory, sampled at 14 experimental soil plots in the Hengill geothermal valley, Iceland, from May to July 2017. The plots span a temperature gradient of 5-35 °C on average over the sampling period, yet they occur within 1 km of each other and have similar soil moisture, pH, nitrate, ammonium, and phosphate. Full details about this dataset can be found at https://doi.org/10.5285/da5d7028-2aec-4da2-96ff-f347a0dfa77e

This is a transdisciplinary dataset from ten smallholder farming villages in Patarasi Rural Municipality, Jumla District, Nepal collected during 2021 and 2022. The human component of the dataset includes fortnightly 24-hour dietary recall surveys and monthly anthropometry surveys of 721 participants (adult males, adult females, adolescent girls and children under five) from 200 smallholder households collected over a twelve-month period. For each household, there is also data on socioeconomic status, farming practices, cooking practices and beekeeping practices. The ecological component of the dataset includes plant-pollinator interaction data and flowering phenology data from the same ten farming villages as well as the results of a pollinator exclusion field experiment in fifteen replicate sites along an altitudinal gradient in this region. Taken together, these datasets enable us to understand more about: a) people’s diets, nutritional status and socioeconomic status in rural Nepal; b) which crops provide their nutrients and how these crops are grown; c) which insects pollinate these crops, and; d) how climate change is likely to impact the system. Full details about this dataset can be found at https://doi.org/10.5285/d7434d83-c30d-4186-aab0-9764821cd807

Peat properties data and age depth models for 102 peat cores extracted and analysed for the Increased Carbon Accumulation in Arctic Peatlands (ICAAP) project (Grant NE/S001166/1). Peat cores were extracted from 12 peatland sites from four regions of the Arctic: Svalbard, Norwegian and Finnish Lapland, Nunavut, Canada and Quebec, Canada Data originates from the analysis of Arctic peat cores for changes in rates of lateral expansion and vertical peat accumulation during recent centuries. Specifically, peat cores were analysed for moisture content (%), dry bulk density (g cm-3), C/N content (%), 210Pb activity levels (bq/kg), and 14C radiocarbon age (yr BP). Svalbard (78.09065°N 14.98407°E; 78.98595°N, 11.98246°E; 78.95872°N, 11.68331°E) Norwegian and Finnish Lapland (70.11876°N, 28.48351°E; 69.80659°N, 27.19732°E, 69.38787°N, 24.24123°E), Nunavut, Canada (72.655515°N, 78.061646°W; 72.694207°N, 77.864603°W; 73.13028°N, 80.022987°W) Quebec, Canada (62.165681°N, 75.915017°W; 62.123168°N, 75.769467°W; 62.157355°N, 75.607301°W)

The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3P model output for the "forced atmosphere experiment for 1950-2014" (highresSST-present) experiment. These are available at the following frequencies: Amon, LImon and Lmon. The runs included the ensemble member: r1i1p1f1. CMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6). The the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University. The official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.