Data from an acidity manipulation field experiment for three treatment types: control, acid and alkaline. Each treatment type had four replications at two experimental site locations and two soil types (making 48 sampling points per sampling time). The data includes chemistry data (pH, EC, DOC, SUVA254) for a variety of sample types (pore water from peat and organic soil (monthly), decomposing surface litter extracts (quarterly), and soil extracts (quarterly). Litter bag data includes mass loss of litter following a period of incubation in soil (3, 6 9 or 12 months), and chemistry of litter extracts (pH, EC, DOC, total nitrogen, SUVA254). There are up to four sub-replications per treatment replication. Data is also presented for the Tea Bag Index, including kTBI (decomposition rate) and S (stabilisation factor). There are up to three sub-replications per treatment replication. Full details about this dataset can be found at https://doi.org/10.5285/3bd6397d-f0db-40c4-885a-95ca280a6683

These plagioclase and clinopyroxene mineral chemical and Sr isotope data come from Unit 10, Rum Layered Suite, NW Scotland. They underpin a publication entitled 'Rapid crystallisation of precious metal-mineralised layers in mafic magmatic systems', to be published in Nature Geoscience in 2020.

This dataset presents a compendium of field-based earthworm data sources and associated meta-data from across the United Kingdom and Ireland (‘Worm source’). These were compiled up to 2021 and include 257 data sources, the earliest dating back to 1891. Source meta-data covers the type of quantitative earthworm data (i.e. incidence, abundance, biomass, taxa), methodological details (e.g. sampling method/s, location/s, whether sampled plots were natural or experimental, sampling year/s), and environmental information (e.g. habitat/land-use, inclusion of climate data and basic soil properties). Data sources were collected through literature searches on Web of Science and Google Scholar, as well as directly from original authors/data holders where possible. The data sources were compiled with the aim of gathering quantitative data on earthworm species and populations to develop earthworm abundance and niche models, and toward a modelling framework for earthworm impacts on soil processes. This work is part of the Soil Organic Carbon Dynamics (SOC-D) project funded by the NERC UK-SCAPE programme (Grant reference NE/R016429/1). Full details about this dataset can be found at https://doi.org/10.5285/1a1000a8-4e7e-4851-8784-94c7ba3e164f

This data set is a combination of trapping data, tracking data, vegetation/habitat data and data on the gut microbiome composition of wild rodents caught in 4 ha study site in Holly Hill in Wytham Woods, Oxford, UK, from November 2018 to November 2019. 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 faecal sample was collected from all rodent individuals for microbiome analyses. All rodents were released to their location of capture. First time each individual was captured, they were injected with a permanent subcutaneous Radio-Frequency Identification(RFID)-tag (Passive Integrated Transponder-tag). The tagged rodents were subsequently tracked from February to November 2019 with a set of 120 custom-made tracking devices (loggers). Loggers recorded to time-stamped presence of any tagged individual that passed near it, producing occurrence data suitable for inferring spatiotemporal activity patterns of rodents, such as temporal niches, home ranges and social networks. Bacterial DNA extracted from faecal samples were used to profile their gut microbiome composition. The study area was surveyed for vegetation and microhabitat variation by gathering habitat data of each 10 x 10 m grid square across the 4 ha plot. Data included list of plant species (visible in late May), coverage by the main ground cover types, canopy openness and amount of dead wood in each grid square. This work was funded by a NC3Rs Fellowship to Sarah Knowles, and NERC independent Research Fellowship to Sarah Knowles (NE/L011867/1) Full details about this dataset can be found at https://doi.org/10.5285/043513e5-406c-4477-89aa-c96059acb232

This dataset is a combination of data obtained from a longitudinal live trapping study of wild rodents in Wytham Woods, Oxford (51.796 N,-1.367 W); October 2015-18), a dissection study of rodents caught in the same woodland (October 2017-18), and a diet shift experiment on a captive colony of wood mice housed at the University of Edinburgh (May 2017). The longitudinal live trapping study dataset contains trapping data and data on the gut microbiome composition, diet and gut parasite infection of individually-identifiable rodents. Three species of rodents were trapped with Sherman live-traps fortnightly for 3 years: wood mice (Apodemus sylvaticus), yellow-necked mice (Apodemus flavicollis) and bank voles (Myodes glaerolus). Upon capture, they were injected with a passive integrated transponder (PIT) tag, measured, weighted, sexed, aged and a faecal sample was collected from individuals for microbiome, diet and parasite analyses. All rodents were released to their location of capture. The dissection study contains trapping data, gut microbiome and parasite infection data. Wood mice were trapped fortnightly for one year with Sherman live-traps at least 300m away from the longitudinal sampling grid. Individuals that had been captured and marked with a PIT tag as part of the longitudinal study were released along with other rodents species and juvenile or pregnant individuals (only non-marked adult wood mice were sampled). Wood mice were euthanized (with ethical approval) and their gastrointestinal tract dissected for counts of gut helminths. Samples from along the gastrointestinal tract were taken for gut microbiome analysis. The diet shift experiment dataset contains data on experimental diet treatments and gut microbiome composition of wood mice captively bred in a facility at the University of Edinburgh. Wood mice were given diets varying in the ratio of food supplementation (dried mealworm and/or peanut) and faecal samples taken periodically over 30 days to measure changes in gut microbiome composition and function. Samples for microbiome and diet characterization were stored without buffer at -80̊C. Samples for parasite detection were stored in 10% formalin and refrigerated at 4̊C. This work was funded by a NERC independent Research Fellowship. Full details about this dataset can be found at https://doi.org/10.5285/4f454849-0d30-4c27-ad5b-d285e461bedc

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 2015-2050 using SST/sea-ice derived from CMIP5 RCP8.5 simulations and a scenario as close to RCP8.5 as possible within CMIP6" (highresSST-future) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, AERmon, Amon, CFday, E3hr, Eday, Emon, LImon, Lmon, Oday, Omon and day. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1. 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.

PRIMAVERA Project data from the the EC-Earth-Consortium team EC-Earth3P-HR model output for the "forced atmosphere experiment for 2015-2050 using SST/sea-ice derived from CMIP5 RCP8.5 simulations and a scenario as close to RCP8.5 as possible within CMIP6" (highresSST-future) experiment. These are available at the following frequencies: Prim3hr, Prim6hr, Prim6hrPt, Primday, PrimdayPt and Primmon. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1. PRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project. 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 Éireann, 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.

PRIMAVERA Project data from the the EC-Earth-Consortium team EC-Earth3P model output for the "primWP5-amv-pos" experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, LImon, Omon, SImon and day. The runs included the ensemble members: r10i1p2f1, r11i1p2f1, r12i1p2f1, r13i1p2f1, r14i1p2f1, r15i1p2f1, r16i1p2f1, r17i1p2f1, r18i1p2f1, r19i1p2f1, r1i1p2f1, r20i1p2f1, r21i1p2f1, r22i1p2f1, r23i1p2f1, r24i1p2f1, r25i1p2f1, r2i1p2f1, r3i1p2f1, r4i1p2f1, r5i1p2f1, r6i1p2f1, r7i1p2f1, r8i1p2f1 and r9i1p2f1. PRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project. 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 Éireann, 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.

PRIMAVERA Project data from the the EC-Earth-Consortium team EC-Earth3P-HR model output for the "coupled control with fixed 1950's forcing (HighResMIP equivalent of pre-industrial control)" (control-1950) experiment. These are available at the following frequencies: 3hr, 6hrPlev, 6hrPlevPt, Amon, CFday, E3hr, Eday, Emon, LImon, Lmon, Oday, Omon, Prim3hr, Prim6hr, Prim6hrPt, PrimOday, PrimOmon, PrimSIday, Primday, PrimdayPt, Primmon, SIday, SImon and day. The runs included the ensemble members: r1i1p1f1, r1i1p2f1, r2i1p2f1 and r3i1p2f1. PRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project. 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 Éireann, 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 World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3 model output for the "effective radiative forcing by 4xCO2" (piClim-4xCO2) experiment. These are available at the following frequencies: Amon and day. 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.