Data comprise methane and carbon dioxide concentrations in soil following injection of discrete pulses of methane into subsoil (50 cm depth) below a spring wheat crop during the growing season. Supporting data on soil moisture, soil temperature and meteorology are provided. The data may be useful for testing models of methane and carbon dioxide transport and fate in temperate agricultural soils. Full details about this dataset can be found at https://doi.org/10.5285/18939865-d863-498b-b4cb-5661eaeadcfc

This dataset summarises the raw GPS locations obtained by satellite tracking of two southern right whales tagged at South Georgia island on 28th January 2020. One whale, genetically identified as a female, was tracked for 117 days (4,860 tag locations provided) and travelled ~5818km including a short period of time at the ice edge. The second whale, genetically identified as a male, was tracked for 238 days (8,492 tag locations provided) and travelled ~9,885km, including migration through the national waters of Argentina, Uruguay and Brazil. Funding: EU BEST 2.0 Medium Grant 1594, DARWIN PLUS award DPLUS057 and funding from the South Georgia Heritage Trust and Friends of South Georgia Island.

This dataset contains four types of data: i) IceNet's 93-day pan-Arctic sea ice concentration forecasts, initialised each day between 26th July - 12th December for the years 2020-2022 inclusive (140 forecasts per year), ii) neural network weights for the IceNet model used to generate the forecasts, iii) a Shapefile for the coastline of Victoria Island (Nunavut, Canada), which was used to estimate caribou sea ice crossing-start times, and iv) CSV files with results linking sea ice concentration values to caribou sea ice crossing-start times. This data was used to explore if and how sea ice forecasts from the IceNet model could give early-warning of Dolphin and Union caribou migration times from Victoria Island to the mainland, by predicting key sea ice concentration thresholds. This work was supported under the WWF-UK Arctic IceNet grant (project number GB085600), the EPSRC Grant EP/Y028880/1 and the Environment and Sustainability Grand Challenge at the Alan Turing Institute.