Due to the constant thermal environment and lower carbonate saturation state of the Southern Ocean, Antarctic marine ectotherms are expected to be amongst the most sensitive to the combined stressors of warming and ocean acidification (OA).To investigate their long term acclimation capacity, adult Antarctic sea urchins, Sterechinus neumayeri, were incubated for 40 months under four treatments: 1) T cur - 0.3 deg C (present day) and pH 7.8 (moderate acidification) 2) pH cur 1.7 deg C (predicted temperature) and pH 8.1 (current pH) 3) pH-0.3 1.9 deg C and pH 7.8 4) pH-0.5 2.2 deg C and pH7.5 (high acidification) The energy budget (energy absorbed, energy lost through respiration and as nitrogenous waste) and growth parameters (scope for growth, mass of somatic and gonad tissues and the CHN content of gonad) were measured through the duration of two 21 day feeding and food processing cycles.Energy budgets were fully acclimated to OA treatments but there was only partial acclimation to temperature. Although metabolic rate was lower in the ambient temperature treatment (-0.3 compared to 2 deg C) and more energy was absorbed from food, there was no significant difference in the scope for growth between treatments. S. neumayeri can acclimate to predicted near future OA and is resilient to predicted temperature conditions.

The colony size and breeding success of Gentoo penguins (Pygoscelis papua) on Goudier Island, monitored annually 1996 - 2020. The data presented here includes the number of breeding pairs, the number of chicks that hatched from their eggs (approximately the mid-point in the annual breeding season) and the number of chicks present in creches at defined sub-colonies prior to fledging.

KRILLBASE is a data rescue and compilation project which aims to improve the availability of information on two of the Southern Ocean's most important zooplankton taxa: Antarctic krill (Euphausia superba) and salps (Family Salpidae). In 2016, the project released a database of information from 15,194 scientific net hauls, collected between 1926 and 2016 by scientists from ten countries. These data, on the density of Antarctic krill and salps, provide a resource for analysing the distribution and abundance of these taxa throughout the Southern Ocean, to support ecological and biogeochemical research as well as fisheries management and conservation. The data are available as a downloadable csv files and via a seachable web interface. Each row of the main data table represents either a net haul or a composite of several net hauls. The columns describe searchable and filterable sampling and environmental information as well as the krill and salp density. The krill data are presented as both the observed density (NUMBER_OF_KRILL_UNDER_1M2, no.m-2) and the density standardised to a single, relatively efficient sampling method (STANDARDISED_KRILL_UNDER_1M2, no.m-2). The salp data are presented as observed density for all species combined, where an individual can be either a solitary oozoid or a member of an aggregate chain (NUMBER_OF_SALPS_UNDER_1M2, no.m-2). 12,758 of the net hauls in the database include krill data, 9,726 include salp data. 7,295 of the net hauls include both krill and salp data. For hauls where data for either salps or krill were not available the relevant field is blank. The RECORD_TYPE column distinguishes between four types of record and we emphasise that every analysis of the data should first screen on this field to avoid using the same data twice. Most records are labelled "haul", and these result from a single net sampling the water column at a specific station. Others, labelled "stratified pooled haul", are the combined result of several (typically three) stratified hauls (labelled "stratified haul") sampling different parts of the water column. A small number of records, labelled "survey mean" represent the arithmetic mean densities from multiple stations as this was the only recoverable information from the relevant surveys, which were mainly conducted in the 1980s. The dataset is fully described in the following publication which should be cited in published analyses of these data: Atkinson A, Hill SL, Pakhomov E, Siegel V, Anadon R, Chiba S, Daly KL, Downie R, Fielding S, Fretwell P, Gerrish L, Hosie GW, Jessopp MJ, Kawaguchi S, Krafft BA, Loeb V, Nishikawa J, Peat HJ, Reiss CS, Ross RM, Langdon B Quetin, Schmidt K, Steinberg DK, Subramaniam RC, Tarling GA, Ward P (2017) KRILLBASE: a circumpolar database of Antarctic krill and salp numerical densities, 1926-2016. Earth Syst. Sci. Data, 9: 193-210 (doi:10.5194/essd-9-193-2017)

This dataset measures the abundance of ant species at baited traps set across twelve trees in four experimental plots in lowland, tropical rainforest. Baited traps were set at 5 m vertical intervals from the ground to as high as possible in the canopy, the stratum of each trap location was recorded. At each height two pairs of baited traps were set, each pair contained one trap baited with carbohydrate (honey and oats) and the second with protein (tuna). Traps within each pair were separated by approximately 20cm were left open for 24 hours. All ants collected were identified to morphospecies level and the species abundance in each trap was recorded. Full details about this dataset can be found at https://doi.org/10.5285/62bf0251-ca8d-4288-a274-0ff6e39b3a3c

Data comprise body length (micrometres) of nematode (Caenorhabditis elegans) offspring from a laboratory study in which animals were exposed to control (0 copper) or copper dosed agar at different average temperatures (8 to 24 °C)) and under fluctuation conditions of low (plus or minus 4 °C) and high (plus or minus 8 °C) amplitude (average temperatures of 12, 16, 20 °C and 16 °C respectively) Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/af125e27-3b70-4f0a-81fb-a7eb10f64ef7

This dataset records the Saiga antelope die-off and calving sites in Kazakhstan. It represents the locations (and where available dates) of (i) die-offs and (ii) normal calving events in the Betpak-dala population of the saiga antelope, in which three major mass mortality events have been recorded since 1988. In total, the data contains 214 saiga die-off and calving sites obtained from field visits, aerial surveys, telemetry and literature. Locations derived from field data, aerial surveys or telemetry are polygons representing the actual size and shape of the die-off or calving sites; locations sourced from the literature are point data around which buffers of 6km were created, representing the average size of calving aggregations. Of the 214 locations listed, 135 sites for which environmental data were available were used to model the probability of a die-off event. The collection and use of these data are written up in more detail in papers which are currently under review (when published links will be added to this record). Saiga antelope are susceptible to mass mortality events, the most severe of which tend to be 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 which can be represented spatially as relatively small sites. The Betpak-dala population is one of three in Kazakhstan, located in the central provinces of the country (see map). Full details about this dataset can be found at https://doi.org/10.5285/8ad12782-e939-4834-830a-c89e503a298b

The datasets were collected during experiments undertaken to examine survival rates and larval performance of Speckled Wood butterflies (Pararge aegeria) in different habitats (grassland and woodland). The experiments were carried out between 2008 and 2010 by the University of York, at sites in Yorkshire, Great Britain. Full details about this dataset can be found at https://doi.org/10.5285/ecb17680-da2e-49ae-b250-2d04a6a08d2a

Data comprise measurements of spectral reflectance for quaking aspen (Populus tremuloides Michx.) trees at a range of sites in southwestern Colorado near the town of Crested Butte. Spectra were measured in three different ways: hyperspectral measurements of leaves, hyperspectral measurements of bark, and multispectral measurements of canopies. The first two measurements were made using a handheld spectrometer, while the latter were made via airborne imaging from an unmanned aerial system. In addition to these reflectance data, the dataset also includes information on the genotype and/or ploidy level of each sample, as determined by either DNA microsatellite analysis or flow cytometry. All samples are georeferenced. The data include extracted data and raw imagery. Full details about this dataset can be found at https://doi.org/10.5285/d663aeb9-1e3e-40f7-ab9e-494e7646faeb

Data comprise earthworm survival and weight change data after 28 days exposure to nanomaterials and reproduction data after 56 days exposure. Concentrations of zinc and silver in extracted soil pore water and ultra-filtered pore waters are reported as well as pH and dissolved organic carbon data. The body concentration of zinc, silver and titanium in three earthworms from each replicate after 28 days exposure are included. Data were generated from a laboratory exposure experiment of earthworms (Eisenia fetida) to soil amended with sewage sludge. The sewage sludges were from a wastewater treatment plant (WWTP) treated with nanomaterials (ENMs) or metal/ionic salts. Sewage sludges were generated with either no metal added to the WWTP influent (control), ionic ZnO, AgNO3 and bulk (micron sized) TiO2 added (ionic metal-treated) or ZnO, Ag and TiO2 ENMs added (ENM-treated). A sandy-loam soil was amended with the treated sewage sludge and aged in outdoor lysimeters for six months. Earthworms were exposed to the aged mixtures and a dilution of the mixtures (using control soil-sludge mix). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/cc4679fd-02c1-4dd1-8aca-201ca9caaf9a

A measure of the extent and complexity of riprian vegetation upstream of chalkstream sites derived from Light Detection and Ranging (LiDAR) data for three chalkstream sites within the Wessex chalk area (River Till, River Wylye and Nine Mile River). For each site there is an estimate of the minimum, maximum, mean and standard deviation height of vegetation along the banks for a range of distances upstream from the sampling location. Information on the extent and complexity of riparian vegetation upstream of chalkstream sites were used to better understand the relationships between in-stream biological communities and catchment and riparian land use. Stream sites surveyed represented a sample of chalkstreams across a gradient of catchment land cover intensification from catchments dominated by extensive calcareous grassland and woodland (Nine Mile River) to those dominated by arable and improved grasslands (Wylye). LiDAR data were obtained from the Environment Agency in April 2014. This dataset was created as part of work package 3.2 of the Wessex Biodiversity & Ecosystem Service Sustainability (BESS) project. Full details about this dataset can be found at https://doi.org/10.5285/61170f63-5ce0-43e3-8b0e-49c5a47bd3d0