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  • This dataset is derived from modelled changes to the distributions of >12,700 terrestrial mammal and bird species under four different climate scenarios, projected to 2070. It contains national-level projections of species richness change under each climate scenario, based on species' modelled climatic niches, as well as projected range shifts in relation to political borders globally. Full details about this dataset can be found at https://doi.org/10.5285/5bf972a8-c9a3-4721-8089-552dfe3ff124

  • This dataset contains responses from an online choice experiment with associated socio-economic covariates on the topic of environmental land management schemes. Sample: 348 farmers based in the north of England in 2022. Full details about this dataset can be found at https://doi.org/10.5285/1409404f-564f-43c5-81dd-00339a674dc8

  • This dataset provides supraglacial lake extents as published in the paper by Arthur et al. (2020) entitled "Distribution and seasonal evolution of supraglacial lakes on Shackleton Ice Shelf, East Antarctica". Please cite this paper if using this data. This dataset consists of (1) shapefiles of supraglacial lake extents on Shackleton Ice Shelf, in Queen Mary Land, East Antarctica (65 degS; 100 degE) derived from optical satellite imagery (Landsat-1, -4, -5, -7, -8, Sentinel 2) acquired between 1974 and 2020 and (2) rasters of supraglacial lake depths derived from optical satellite imagery (Landsat-1, -4, -5, -7, -8, Sentinel 2) acquired between 2000 and 2020. The datasets presented here were used to analyse the spatial distribution of lakes, lake densities, elevation, slope and ice surface velocity distributions, proximity to exposed bedrock, blue ice and the grounding line, and time series of lake area, depth and volume. Funding was provided by NERC DTP grant NE/L002590/1 and NERC grant NE/R000824/1.

  • We present steady-state ice thickness, bed elevation, and ice surface elevation output from simulations of the Antarctic Ice Sheet (AIS) on a suite of reconstructed Antarctic palaeotopographies using the DeConto and Pollard (DP16) ice sheet model. Ice surface mass balance inputs were provided using the GENESIS v3.0 global atmosphere general circulation model coupled to a 50 m slab ocean model, which provides boundary meteorology for the RegCM3 regional climate model. Three climate/ocean scenarios were simulated: (1) cold climate orbital parameters, preindustrial CO2 levels (280 ppm) and modern ocean temperatures, (2) a subsequent shift to warm climate orbital parameters, an increase in CO2 levels to 500 ppm, and a 5 deg C ocean temperature rise, and (3) as for (2), but with CO2 levels increased to 840 ppm. The steady-state simulations were performed on a suite of reconstructed Antarctic palaeotopographies pertaining to the following four time slices: (1) the Eocene-Oligocene boundary (EOB; ca. 34 Ma), (2) the Oligocene-Miocene boundary (OMB, ca. 23 Ma), (3) the mid-Miocene (MM; ca. 14 Ma), and (4) the mid-Pliocene (MP; ca. 3.5 Ma). Simulations were performed for minimum, median, and maximum end-member topographies, and equivalent simulations were run on the modern (ice-free) Antarctic bed topography for comparison. Further details are given in the accompanying publication. For more information, please contact G. Paxman. Funding was provided by NERC Ph.D. studentship NE/L002590/1.

  • Fieldwork was undertaken at Blaso epishelf lake, Northeast Greenland between 19th July and 11th August 2017. Tidal variation was measured using a water pressure transducer between the 24th July to 8th August 2017. The tidal measurements are therefore presented as three measurement intervals: Interval 1 (25th July - 29th July), Interval 2 (29th July - 2nd August), and Interval 3 (2nd August - 12th August). This project was funded by NERC Standard Grant NE/N011228/1.

  • Fieldwork was undertaken at the epishelf lake, Blaso, in Northeast Greenland between 19th July and 11th August 2017. CTD casts were made between 27/7/17 and 10/8/17. The CTD operated continuously and was deployed using a hand-spooled winch from a small boat at eight sites across the lake, with the objective of characterising water conditions at both calving fronts and in the three lake basins identified by the CHIRP survey. The CTDs were sampled between 31st July and 10th August 2017 and during this period there was persistent lake ice which prevented CTD measurements close to the eastern calving front. In contrast, most of the lake ice in the western basin had dispersed and melted by early August, allowing access to the western calving margin. Depth temperature and salinity observations are reported as metres (m), degrees centigrade (Deg C) and Practical Salinity Units (PSU). This project was funded by NERC Standard Grant NE/N011228/1

  • This dataset contains locations and species of mosquitoes collected during fieldwork in India in 2022. Mosquito adults and larvae were collected from 4 locations: Bangalore, Udaipur, Delhi and Mumbai. The focus was on collecting Anopheles mosquitoes, but other species were also collected. Anopheles mosquitoes transmit malaria, so changes in their distribution raises concern for the spread of this disease. Full details about this dataset can be found at https://doi.org/10.5285/ac5ecc99-b1b9-443a-b0b1-5059b85bc30f

  • This dataset contains details of digital elevation models (DEM) and orthomosaic photographs (orthophotos) of seven 5 x 5 m erosion plots on Iron Tongue Hill, Tameside, Manchester. Plots were surveyed on ten occasions in 2018/2019 following a severe moorland wildfire (July 2018). Plots were surveyed using ground-based photogrammetry and Struture-from-Motion methods. The work was supported by the Natural Environment Research Council (Grant NE/S011560/1). Full details about this dataset can be found at https://doi.org/10.5285/756d3a73-ca93-456f-8c0a-e767fb9f82a8

  • The dataset contains terminus positions and flowlines of the Vincennes Bay Outlet Glaciers, for the years 1963-2022. These are provided as shapefiles, associated with a paper submitted to The Cryosphere entitled Extensive and anomalous grounding line retreat at Vanderford Glacier, Vincennes Bay, Wilkes Land, East Antarctica (Picton et al., 2023). The dataset is divided into three separate folders: (i) flowlines, (ii) sampling boxes, and (iii) terminus positions. The flowlines and sampling boxes, shown in Figure 1B (Picton et al., 2023), were used to facilitate data collection. The terminus positions represent annual terminus positions manually digitised from satellite imagery. Flowlines, sampling boxes and terminus positions are provided for each of the Vincennes Bay outlet glaciers: Vanderford, Adams, Anzac, Bond East, Bond West, and Underwood. Chris Stokes and Stewart Jamieson acknowledge funding from the UK Natural Environment Research Council grant NE/R000824/1.

  • The dataset comprises of analyses of two sediment cores (LC12 and LC7), extracted from Blaso, a large epishelf lake on the margin of 79 degrees N Ice Shelf, NW Greenland in July-August 2017. The data are used to constrain ice shelf dynamics over the last 8500 calibrated years before present (cal. years B.P., where present is A.D. 1950). Data for the LC7 and LC12 sediment records consist of radiocarbon (14C) chronology data. Overlapping 2 m-long sediment cores were recovered with a UWITEC KOL 'Kolbenlot percussion piston corer to a total sediment depth of 3.74 m (LC7) and 5.24 m (LC12). Accelerator mass spectrometry (AMS) was used for radiocarbon (14C) dating. Core LC7: 87 m water depth; 79.589 degrees N, 22.494 degrees E. Core LC12: 90 m water depth; 79.5948 degrees N, 22.44233 degrees E. This project was funded by the Natural Environment Research Council (NERC) through Standard Grant NE/N011228/1. We thank the Alfred Wegner Institute, and particularly Angelika Humbert and Hicham Rafiq, for their significant logistic support through the iGRIFF project. Additional support was provided from Station Nord (Jorgen Skafte), Nordland Air, Air Greenland and the Joint Arctic Command. Naalakkersuisut, Government of Greenland, provided Scientific Survey (VU-00121) and Export (046/2017) licences for this work