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  • A vector polyline at 60 deg S which is the northern limit for ADD datasets.

  • A very incomplete dataset of streams in Antarctica. Data mainly cover Byers Peninsula, Deception Island, James Ross and Seymour islands, Fossil Bluff and some areas of the Transantarctic Mountains. Exact data sources can be found in the attribute table.

  • We use data from eight satellites to statistically examine the role of chorus as a potential source of plasmaspheric hiss. We find that the strong equatorial (|λm| < 6°) chorus wave power in the frequency range 50 < f < 200 Hz does not extend to high latitudes in any MLT sector and is unlikely to be the source of the low frequency plasmaspheric hiss in this frequency range. In contrast, strong equatorial chorus wave power in the medium frequency range 200 < f < 2000 Hz is observed to extend to high latitudes and low altitudes in the pre-noon sector, consistent with ray tracing modelling from a chorus source and supporting the chorus to hiss generation mechanism. At higher frequencies, chorus may contribute to the weak plasmaspheric hiss seen on the dayside in the frequency range 2000 < f < 3000 Hz band, but is not responsible for the weak plasmaspheric hiss on the night-side in the frequency range 3000 < f < 4000 Hz. The research leading to these results has received funding from the Natural Environment Research Council (NERC) Highlight Topic grant NE/P01738X/1 (Rad-Sat) and the NERC grants NE/V00249X/1 (Sat-Risk) and NE/R016038/1. Jacob Bortnik received funding from NASA grant NNX14AI18G, and RBSP-ECT and EMFISIS funding provided by JHU/APL contracts 967399 and 921647 under NASA''s prime contract NAS5-01072. Wen Li and Xiao-Chen Shen received funding from NASA grants 80NSSC20K0698 and 80NSSC19K0845, NSF grant AGS-1847818, and the Alfred P. Sloan Research Fellowship FG-2018-10936.

  • The datasets are ice tilt time series from strings of accelerometers, each located at a discrete depth within one of three boreholes into Khumbu Glacier, Nepal. Ice deformation can be derived from this tilt data, but has not yet been calculated. Boreholes were drilled in May 2017 and 2018 to investigate the internal properties of Khumbu Glacier, specifically ice thickness, temperature, deformation and structure, as part of the NERC-funded ''EverDrill'' research project. Supporting borehole information is provided as a related dataset. Funding was provided by the NERC grant NE/P00265X/1 and NE/P002021/1. ***** PLEASE BE ADVISED TO USE VERSION 2.0 DATA ***** The VERSION 2.0 data set (see ''Related Data Set Metadata'' link below) which contains an additional 11 months of measurements.

  • The datasets are temperature time series from strings of thermistors, each located at a discrete depth within one of six boreholes into Khumbu Glacier, Nepal. Boreholes were drilled in May 2017 and 2018 to investigate the internal properties of Khumbu Glacier, specifically ice thickness, temperature, deformation and structure, as part of the NERC-funded ''EverDrill'' research project. Supporting borehole information is provided as a related dataset. The data are presented in whole or in part in Miles et al. (2018). Funding was provided by the NERC grant NE/P00265X/1 and NE/P002021/1. ***** PLEASE BE ADVISED TO USE VERSION 2.0 DATA ***** The VERSION 2.0 data set (see ''Related Data Set Metadata'' link below) which contains an additional 11 months of measurements.

  • The datasets are basal probe sensor time series measuring suspended sediment concentration, water pressure, electrical conductivity and temperature. Each sensor was located at a discrete depth within one of six boreholes into Khumbu Glacier, Nepal. Boreholes were drilled in May 2017 and 2018 to investigate the internal properties of Khumbu Glacier, specifically ice thickness, temperature, deformation and structure, as part of the NERC-funded ''EverDrill'' research project. Supporting borehole information is provided as a related dataset. Funding was provided by the NERC grant NE/P00265X/1 and NE/P002021/1. ***** PLEASE BE ADVISED TO USE VERSION 2.0 DATA ***** The VERSION 2.0 data set (see ''Related Data Set Metadata'' link below) which contains an additional 10 months of measurements.

  • The datasets are temperature time series from strings of thermistors, each located at a discrete depth within one of six boreholes into Khumbu Glacier, Nepal. Boreholes were drilled in May 2017 and 2018 to investigate the internal properties of Khumbu Glacier, specifically ice thickness, temperature, deformation and structure, as part of the NERC-funded ''EverDrill'' research project. Supporting borehole information is provided as a related dataset. The data are presented in whole or in part in Miles et al. (2018). Funding was provided by the NERC grant NE/P00265X/1 and NE/P002021/1.

  • The datasets are basal probe sensor time series measuring suspended sediment concentration, water pressure, electrical conductivity and temperature. Each sensor was located at a discrete depth within one of six boreholes into Khumbu Glacier, Nepal. Boreholes were drilled in May 2017 and 2018 to investigate the internal properties of Khumbu Glacier, specifically ice thickness, temperature, deformation and structure, as part of the NERC-funded ''EverDrill'' research project. Supporting borehole information is provided as a related dataset. Funding was provided by the NERC grant NE/P00265X/1 and NE/P002021/1.

  • Measurements of benthic invertebrate particle reworking, bioirrigation, and associated nutrient concentrations used in the analyses by Solan et al. 2020 (see referenced publication) for shipboard incubations of replicate macrofaunal communities from the Western Barents Sea during summer 2017 and summer 2018. Samples were collected on cruises JR16006 and JR17007. Funding was provided by ''The Changing Arctic Ocean Seafloor (ChAOS) - how changing sea ice conditions impact biological communities, biogeochemical processes and ecosystems'' project (NE/N015894/1 and NE/P006426/1, 2017-2021), part of the NERC funded Changing Arctic Ocean programme.

  • A coastline of Kalaallit Nunaat/ Greenland covering all land and islands, produced in 2017 for the BAS map ''Greenland and the European Arctic''. The dataset was produced by extracting the land mask from the Greenland BedMachine dataset and manually editing anomalous data. Some missing islands were added and glacier fronts were updated using 2017 satellite imagery. The dataset can be used for cartography, analysis and as a mask, amongst other uses. At very large scales, the data will appear angular due to the nature of being extracted from a raster with 150 m cell size, but the dataset should be suitable for use at most scales and can be edited by the user to exclude very small islands if required. The projection of the dataset is WGS 84 NSIDC Sea Ice Polar Stereographic North, EPSG 3413. The dataset does not promise to cover every island and coastlines were digitised using the data creator''s interpretation of the landforms from the images.