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 (78.09065°N 14.98407°E; 78.98595°N, 11.98246°E; and 78.95872°N, 11.68331°E), Norwegian and Finnish Lapland (70.11876°N, 28.48351°E; 69.80659°N, 27.19732°E; and 69.38787°N, 24.24123°E), Nunavut, Canada (72.655515°N, 78.061646°W; 72.694207°N, 77.864603°W; and 73.13028°N, 80.022987°W), and Quebec, Canada (62.165681°N, 75.915017°W; 62.123168°N, 75.769467°W; and 62.157355°N, 75.607301°W). 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).

This dataset was constructed to characterise the invasion dynamics of Pinus radiata from seeds released from commercial plantations into surrounding areas, preferably those dominated by native species, in two situations: after the occurrence of forest fires and in the absence of them. Demographic data were collected concerning three key factors of the invasion process: a) The seed source, in this case, the commercial plantation, where the age, tree density, cone production, and the proportion of cones that remained closed were recorded; b) the characteristics of the habitat surrounding the plantation, as a receiving system for the seeds; this included an assessment of ground cover, understory cover, and canopy cover; and c) The natural regeneration of P. radiata was evaluated regarding its density, ages, heights, and the presence of cones. Information was collected in five geographic areas of Chile: in three of them we were able to establish six study sites per area (three burned and three unburned sites), but in two regions there were no register of recent fires, so only three unburned sites per area were established. Three transects were established in each study site. Fires occurred between 2010 and 2021, and data was collected between 2020 and 2021. Full details about this dataset can be found at https://doi.org/10.5285/43dc564c-2054-4e5a-950c-031d35521ebf

Major and trace element composition, and stable isotope data for whole-rock samples from alkaline rocks of the Chilwa Province. Samples collected between 2011-2021 in the Chilwa Alkaline Province, Malawi

[This dataset is embargoed until December 8, 2025]. This data set contains information on the age of Sus scrofa (pig) bones and teeth from archaeological sites in the Philippines and the Pacific Islands as estimated by AMS radiocarbon dating. Samples were selected for radiocarbon dating and palaeogenomic analysis from the following archaeological sites in the Philippines and Pacific Islands (Palau): Pamayan (Philippines), Savidug (Philippines) and Uchul a Rois (Palau). Radiocarbon dating was carried out at the Oxford Radiocarbon Accelerator Unit following published protocols. This work was supported by NERC grant NE/S00078X/1. Full details about this dataset can be found at https://doi.org/10.5285/3187bfa1-6346-4569-9062-b5414ec1dd62

This dataset contains the annual flow data of organic waste and nutrients (nitrogen and phosphorus) in the region of Leicester City and Leicestershire Country in the UK, for the year of 2019. Full details about this dataset can be found at https://doi.org/10.5285/df329c40-cd4d-48d9-90d7-968f69df2279

This dataset contains features detected by untargeted metabolomics analysis of paired cultures of 4 interacting Streptomyces bacteria. The bacteria were originally isolated from a nature reserve in Minnesota USA. Daily samples of spot cultures grown in adjacent pairs on solid ISP2 medium were taken from day 2 to 6 in triplicate. Metabolites were obtained by cold methanol extraction, and liquid chromatography-mass spectrometry data was collected in both positive and negative ionisation modes. This dataset contains the mass-to-charge (m/z) and retention time of identified peaks, and their ion intensity in each sample. The relative abundance of these identified features was later compared between pairs of interacting strains to gain insight into changes in their metabolism. This work was funded by NERC (NE/T010959/1) and National Science Foundation (USA, 1935458). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/4921f306-5efa-4bf7-a15e-a157c2665889

The dataset details the locations and attributes of canopy disturbances in Nyungwe National Park, Rwanda, that were suspected to have been caused by lightning strikes. Disturbances were located by surveying 23km of trails and assessing whether disturbances (clusters of dead or damaged trees) had damage signatures consistent with lighting. Only disturbances that were thought to potentially have been caused by lightning were recorded. As well as providing a qualitative assessment of the confidence that the damage was caused by lightning, the dataset contains the number of dead and damaged trees in different size classes, as well as the taxonomic identity and degree of crown damage experienced by canopy trees within the putative strike. Photographs of a subset of strikes are also provided. Data were collected as part of the project Lightning in African tropical forests: from tree mortality to carbon dynamics (NE/W003872/1). Full details about this dataset can be found at https://doi.org/10.5285/d47e78bc-2227-4bc7-90ae-9ec871c52bec

This dataset contains the location, dimension, and ecological characteristics of 492 gully blocks on Kinder Scout, an upland peatland in the UK. Stone and timber dams were installed in 2013-2014 as part of peatland restoration works on Kinder Scout. The survey was undertaken to determine the longer-term (7-8 years) evolution of gully blocks. Location data for dam points was collected using a differential GPS (dGPS). Field measurements of dam dimensions and vegetation were carried out. Some dam characteristics were derived using geospatial methods. Ancillary vegetation data are provided in a separate file to the main dam survey data and can be matched on the dam identification number. Full details about this dataset can be found at https://doi.org/10.5285/6ab9c89d-7ba1-4bc8-afc6-c2563f4ff49b

This dataset contains phenotypic information for three-spined stickleback (Gasterosteus aculeatus) that were raised from a single marine x freshwater cross from populations on North Uist, Scottish Outer Hebrides for approximately 5 generations in a freshwater pond in Nottinghamshire, UK. The fish were then used in a quantitative trait loci (QTL) experiment to determine the genomic regions associated with various phenotypic traits in the fish. The phenotypic information includes body length, body weight, sex, whether species of the parasite Schistocephalus was observed in the body cavity, and the composition of the body of the fish (determined by ICPMass Spectromotry) including the following elements: B, Na, Mg, P, S, K, Ca, Ti, Li, Be, Al, V , Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Rb, Sr, Mo, Ag, Cd, Cs, Ba, Tl, Pb, U Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/e7797949-8b96-423e-870e-69e8314dbe90

This dataset contains time series observations of land surface-atmosphere exchanges of sensible heat (H) and latent heat fluxes (LE), together with supporting meteorological and soil physics data obtained at six eddy covariance (EC) flux tower monitoring sites located across England and Wales. The flux monitoring sites include three croplands (two on peat, one on mineral soils), one grassland on peat, one lowland fen under conservation management, and a relatively intact upland raised bog. Data collection started in January 2023 and ended in January 2024, except for one site in Wales which ended in December 2023. Vegetation data was also collected and consist of manual measurements of canopy height, leaf area index , and biomass. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/b50e7291-b668-49bb-8226-f6371e707714