This dataset is in vitro validation of a potassium sensor that will be inserted into a plant stem. The dataset shows the sensitivity and selectivity of the fabricated potassium sensor. The data was obtained by measuring changes in electrical current with an increase in concentrations of the primary ion (K+) and interfering ion (Na+) to extract the sensitivity and selectivity, respectively using a semiconductor parameter analyser. K+ ion sensing data, measured directly inside a plant stem, are absent as the in vivo experiment should be optimised further. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/89998967-a974-4136-b650-b9af9f9d6969

This dataset includes key photosynthesis and respiration data collected from three common garden sites along an elevation/temperature gradient in the Colombian Andes. Raw A-Ci data, the Vcmax (carboxylation of RuBP by the enzyme Rubisco) and Jmax (the regeneration of RuBP by the electron transport chain) values estimated from this data, and Rdark (leaf dark respiration) values collected using spot measurements, are all available, along with variables such as leaf temperature (°C), relative humidity (%) and pressure values (kPa) returned by the LI-6800 portable photosynthesis system. Full details about this dataset can be found at https://doi.org/10.5285/60dd0b8f-f0c3-4e30-841b-1c2067052974

Here we collate a database of all known birds, bryophytes, fungi, invertebrates, lichens and mammals that use Sitka spruce (Picea sitchensis) in the UK. Sitka spruce is the most commonly planted commercial tree species in the UK. In total 564 species are listed in the database. For each species we provide a level of association with Sitka spruce, ranging from obligate (only found on Sitka spruce) to cosmopolitan (found on a wide range of other tree species). Data on the ecology of each Sitka spruce associated species were collated: part of tree used, and use made of tree (feeding, roosting, breeding). Data on use or otherwise of 34 other tree species were also collated for each of the 564 species. Full details about this dataset can be found at https://doi.org/10.5285/1ce52c10-e3ab-4996-b9b7-052c70b3c1ba

This dataset comprises MicroCT 3D scans of skulls from Passer sparrows (Passer domesticus, P. hispaniolensis, P. italiae and F1 hybrids) generated during a crossing experiment at the University of Oslo, Norway in 2014/2015. Skulls were scanned with a microCT scanner at the University of Nottingham in 2023. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/c75ac806-2968-4bf0-8c72-ed4e0dc2ed7e

This dataset reports results on seedling growth and survival for two hyphal exclusion experiments in a subtropical forest. The data include survival status, height, total biomass and the biomass of component plant parts, percentage root colonisation by mycorrhizas, for tree seedlings of ten common species including five ectomycorrhizal (ECM) and five arbuscular mycorrhizal (AM) species, which were transplanted in the in-growth cores with windows covering different sizes of nylon meshes (35 vs. 0.5 µm). The dataset provides raw data on growth and survival metrics for each seedling, plus identifying codes for the dominant sites where the experiments were conducted, as well as experimental block, mesh treatment, botanical names for the tree species, and mycorrhizal type. The data were entered into Excel spreadsheets and exported as comma separated value files (csv). Study area - the Heishiding Nature Reserve (111°53’E, 23°27’N, 150-927 m a.s.l.) in Guangdong Province of south China. Full details about this dataset can be found at https://doi.org/10.5285/f1d17e61-bb6c-47a9-a648-062c63ea7f16

[This dataset is embargoed until May 31, 2026]. This dataset includes a range of physico-chemical properties measured from topsoil (0-15 cm) within a wide range of land use types across Wales, collected as part of the Environment and Rural Affairs Monitoring & Modelling Programme (ERAMMP) between 2021 and 2023. The properties included are: soil organic matter (loss on ignition (LOI)), derived carbon concentration, total soil organic carbon (SOC), nitrogen, total soil phosphorous, Olsen-phosphorous (within improved land only), pH, electrical conductivity, soil bulk density of fine earth, fine earth volumetric water content, gravimetric water content, and soil group. ERAMMP is a resurvey of the 300 locations from the initial monitoring program (300 1km squares) on a rolling annual basis, with the aim to resurvey all sites between 2021 and 2025. Between 2021-2023, ERAMMP resurveyed 224 of those 300 were resurveyed for soil monitoring. The GMEP project was set up by the Welsh Government in 2013 to monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016. The field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales and was managed by the UK Centre for Ecology & Hydrology (UKCEH). Full details about this dataset can be found at https://doi.org/10.5285/deabe608-fc6e-4d3a-812f-fb08ae515121

The dataset consists of tree diameter at breast height (DBH) of all trees > 1 cm DBH in 16 parcels of 15 m x 15 m in the tropical heath forest of the Kabili-Sepilok Forest Reserve (Sabah, Malaysia). Also included are the tropical heath forest trees’ leaf element concentration. Tree DBH has been measured three times, one before (2016) and two after (2017 and 2018) the experimental application of Nitrogen fertiliser and CaCO3 to the forest floor. The leaves were collected before (2016) and after (January 2017; July 2017; June 2018) the application of experimental nitrogen and CaCO3 fertilisation. The experimental setting consists of four replicate parcels for the control plots, four replicates for the Nitrogen treatment, four replicates for the CaCO3 treatment and four replicates the Nitrogen and CaCO3 treatments combined. Full details about this dataset can be found at https://doi.org/10.5285/d5ea9e2c-f053-4631-aead-a8a5557488c6

This dataset describes environmental conditions at 135 Saiga antelope calving sites (from a total of 214) in Kazakhstan where the predictor variables required for the modelling were available at sufficient resolution. Data collected included climatic variables associated with haemorrhagic septicaemia in the literature, including humidity, temperature and precipitation. Indicators of vegetation biomass, phenology and length of the winter preceding calving were represented using the Normalised Difference Vegetation Index (NDVI), snow depth and snow presence data. Saiga antelope are susceptible to mass mortality events (MME), the most severe of which are caused by haemorrhagic septicaemia following infection by the bacteria Pasteurella multocida. These die-off events tend to occur in May during calving, when saigas gather in dense aggregations. As the bacteria is a commensal organism, which may live harmlessly in the respiratory tract of the saiga, it is believed that an environmental trigger is involved in a shift to virulence in the pathogen or reduction in immune-competence in the host. The attached data show environmental conditions at a set of calving sites of the Betpak-dala population of saigas. This population, one of three in Kazakhstan, is located in the central provinces of the country and is the only one in which massive haemorrhagic septicaemia outbreaks have been recorded. At most of the recorded sites, calving progressed normally, whilst at others mass mortality events occurred during calving or just afterwards, namely in 1981, 1988 and 2015. A set of environmental predictor variables was used to model the probability of an MME at calving aggregations. The dataset, modelling process and results are described in Kock et al. (2018): http://advances.sciencemag.org/content/4/1/eaao2314 A related shapefile of the full set of 214 sites, and metadata concerning site characteristics and the provenance of the location data is available at: https://catalogue.ceh.ac.uk/id/8ad12782-e939-4834-830a-c89e503a298b The attached dataset and site metadata in the above-mentioned Shapefile attribute table can be combined using the variable ID in order to merge the environmental data with information on the calving and MME sites. Full details about this dataset can be found at https://doi.org/10.5285/912ea336-ac90-418f-be6a-7ae226e167e9

Growth parameters for tree seedlings in a lowland tropical forest in Panama, subject to experimental soil warming. The experiment is situated at the Soil Warming Experiment in Lowland Tropical Rainforest (SWELTR) on Barro Colorado Island in Panama, where the whole soil profile is subject to warming by 4-degrees. Seedling species are Inga laurina, Ormosia macrocalyx, Tachigali versicolor, Lacmellea panamensis, Protium pittieri and Virola surinamensis. Data are seedling parameters: relative growth rates, height change over time, herbivory index, light-saturated photosynthesis (Amax), leaf chlorophyll concentration, light (photosynthetic photon flux density; PPFD). We also determined soil nutrient (N and P) mineralisation for the same period using in situ ion-exchange resins each month. Data were collected over the period 2016 to 2020, following 3 years of soil warming. Photosynthesis and leaf chlorophyll content index data were collected in field campaigns during 2019 and 2022, respectively. Full details about this dataset can be found at https://doi.org/10.5285/3a4aabba-e790-4ac3-b845-936790768330

This dataset contains morphological data from the isopod crustacean, Asellus aquaticus collected from Chernobyl affected areas of Belarus and Ukraine in 2015. This data was collected to calculate fluctuating asymmetry, a measure of developmental stability, in organisms along a gradient of radiation contamination. Five different morphological characters were measured and fluctuating asymmetry (right side minus left side) was calculated. Fluctuating asymmetry was calculated here as FA2: [|R-L|/(R+L)/2)] where R and L represent measurements in micrometres for right and left sides of the five morphological characters. Number of segments represents raw right minus left data for the number of antennal segments and is thus provided in a separate column. All data provided are means of two independent measurements. In addition, a measure of environmental factors and total dose rates are also provided in this dataset. Blank cells indicate where no data was available. Full details about this dataset can be found at https://doi.org/10.5285/47f036c4-e319-4825-9cb8-f27977eb20dd