Simulated ice thickness (ice, metres, 100 m grid spacing) and supraglacial debris thickness (debris, metres, 100 m grid spacing) for Khumbu Glacier, Nepal, produced using the iSOSIA ice-flow model presented in Rowan et al. (2021; Journal of Geophysical Research-Earth Surface). The model domains used for the entire glacier and active glacier simulations (metres above sea level, 100 m grid spacing), and the present-day ice thickness estimate (metres, 30 m grid spacing) used to create the subglacial topography are included. The files contained in this collection present the outputs from three experiments carried out in Rowan et al. (2021; Journal of Geophysical Research-Earth Surface): 1. Simulation with a continuous debris layer, where h0 = 0.23 m and dT = 1.5 degC, showing the effect of change in mean annual air temperature to the present day (2015 CE) from 1.5 degC relative to the Little Ice Age 2. Simulation with a discontinuous debris layer, where h0 = 0.94 m and dT = 1.5 degC 3. Simulation with a discontinuous debris layer of the active glacier, where h0 = 0.94 m and dT = 1.5 degC The subglacial DEMs used for the model domains for the entire glacier and the active glacier, and the present-day (2015 CE) ice thickness estimated by Rowan et al. (2015, EPSL) to create the subglacial topography are also included (3 files). Funded by NERC under grant: NE/P00265X/1 "EverDrill: Accessing the interior and bed of a Himalayan debris-covered glacier to forecast future mass loss" to Duncan Quincey (PI) and Ann Rowan (CoI).

[This dataset is embargoed until June 30, 2026]. The dataset contains information about the visible and near-infrared (Vis-NIR) reflectance spectra collected from re-quartered reserved fine earth (FE) soil samples obtained during the 2018-2019 Countryside Survey. Out of the 481 samples collected during the survey, only 451 were used for diffuse reflectance spectroscopy due to sample availability. Diffuse reflectance spectra were gathered from 451 samples using the ASD AgricSpec spectrometer and from 306 samples using the FOSS DS2500 spectrometer in the visible (350 to 780 nm) and near-infrared (780 to 2500 nm) regions, with spectral resolutions of 1 nm and 0.5 nm, respectively. The spectral data from both instruments were employed to predict 23 soil parameters related to harmonized soil properties within the Open Spectra Soil Library (OSSL) prediction engine. A comparative analysis was performed between 12 of the available measured soil matrices and their corresponding prediction results Full details about this dataset can be found at https://doi.org/10.5285/ea727f8d-6441-4d88-8ed7-1760bda0c3c3

Dissolved inorganic and organic nutrient concentrations, dissolved organic carbon concentrations and glacier algal cell abundance are quantified for supraglacial environments in the Dark Zone of the Greenland Ice Sheet during July and August 2016. Samples include surface ice with varying degrees of visible impurities, cryoconite hole water and supraglacial stream water. Surface ice samples are comprised of the top 2 cm of a 1x1 m ice surface area. Dissolved inorganic nitrogen (DIN), dissolved organic nitrogen (DON), dissolved inorganic phosphorus (DIP), dissolved organic phosphorus (DOP) and dissolved organic carbon (DOC) were quantified for all ice surface, supraglacial stream and cryoconite hole water samples collected. Glacier algae abundance was quantified for ice surface samples. Field blank corrections were conducted for all DIN, DON, DIP, DOP and DOC data. Any values resulting below the instrument limit of detection were considered to be 0. Funding was provided by the NERC 'Black and Bloom' grant NE/M021025/1 and the Marie Sklodowska-Curie grant agreement No 675546.

This dataset comprises of geochemical, mineralogical and microbiological analyses of material collected on the southwestern margin of the Greenland Ice Sheet in 2016 and 2017. Stream water, melted ice and snow samples were collected and analysed for carbon, nitrogen, phosphorus, cation and anion concentrations, pH, conductivity, total dissolved solids (TDS), mineral phase and class abundances and Rare Earth Elements (REE). Microbial community composition was also analysed. In addition, the results of a nutrient incubation experiment are also presented.The data were collected as part of a project investigating drivers of glacial ice algal growth on the Greenland Ice Sheet. We acknowledge funding from UK Natural Environment Research Council Consortium Grant, Black and Bloom (NE/M020770/1, NE/M021025/1 and NE/S001670/1). LGB and SL acknowledge funding from the German Helmholtz Recruiting Initiative (award number: I-044-16-01). LGB, AMA, and MT were also supported through an ERC Synergy Grant ('Deep Purple' grant # 856416) from the European Research Council (ERC)

This dataset contains baseline soil carbon and nitrogen content within a native forest creation site on the Beldorney Estate, Aberdeenshire, Scotland. 17 samples were collected on a 100 m grid at the site prior to planting. The 100 m grid was extended into adjacent grassland that won’t be planted and 8 additional samples were collected. The 100 m grid samples were all collected in September 2022. Within the planting area 17 plots were left unplanted, these will be used to track natural tree regeneration, and additional soil samples were collected here in November 2022. Soil carbon and nitrogen content will be tracked at the site as the planted and naturally regenerating trees establish. The work was supported by Natural Environment Research Council (NE/W004976/1) as part of the Agile Initiative at the Oxford Martin School and Leverhulme Trust as part of the Leverhulme Centre for Nature Recovery at the University of Oxford. Full details about this dataset can be found at https://doi.org/10.5285/75fc1418-b0ff-4dca-9b78-70c3c82d94b7

Audible and ultrasound recordings in Panama for the purpose of monitoring bird and bat calls. The recordings were taken across 4 sites in Barro Colorado Island and the Gamboa forest region around sunrise and sunset hours between the 21st and the 26th of January 2023. Audible recordings were made using SM4 song meter, whilst ultrasound was recorded using a SM4BAT song meter. The Parties involved in data collection are listed in the author section. No data are missing. Full details about this dataset can be found at https://doi.org/10.5285/eeb7c6dc-2ad8-4375-ad86-523a6e570170

Dataset contains images recorded during a trial of Automated Monitoring of Insects (AMI), Automoth and Diopsis camera systems. The images were taken at five sites in Barro Colorado Island, Panama, during night-time hours from the 23rd to the 26th of January 2023. The parties involved in data collection are listed in the author section. Full details about this dataset can be found at https://doi.org/10.5285/b088d4bd-4abb-46d4-bc90-f4e58c65f324

This dataset contains extracted data from studies reporting the effect of temperature on animal reproduction and adult lifespan. To identify studies, we performed a systematic literature search using the online database Web of Science in August 2021 (see Dougherty et al. (2024) for details). From this search, 781 studies were screened, and 339 studies met our inclusion criteria. These studies all experimentally manipulate temperature in a laboratory setting, usually for more than five days. The studies tested 308 species in total, all of which are invertebrates, mostly from the order Insecta (77%) or Arachnida (15%). From these studies we extracted reported data for the average reproductive output and adult lifespan (plus associated variances and sample sizes) for each tested temperature treatment. Means and variances were then converted into standardised effect sizes for further meta-analysis. We used the standardised mean difference (SMD) in reproduction or adult lifespan between pairwise temperature treatments as the effect size (response variable). SMDs were calculated in a pairwise fashion in relation to a single ‘reference’ treatment. The reference treatment was assigned as: a) the treatment closest to the rearing temperature of the study population, or b) the treatment with a temperature closest to 25℃ (in the absence of a reported rearing temperature). For each effect size, we also report information relating to the focal species (e.g. taxonomic group, focal sex, habitat, fertilisation mode) and relevant methodological details (e.g. experimental temperature, exposure duration, which life stage was exposed). The dataset consists of all data needed to repeat the meta-analyses: two csv files containing extracted effect size data, and two phylogenetic trees showing the relationships between the species included in the analysis. This work was funded by the Natural Environment Research Council (NE/X011550/1 & NE/P002692/1), the Biotechnology and Biological Sciences Research Council (BB/W016753/1), the Australian Research Council (Future Fellowship FT220100276), the German Research Foundation (DFG, Heisenberg fellowship FR 2973/11-1), and the European Society for Evolutionary Biology. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/59abe798-1b39-4555-b3a6-8c301a61bcaa