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  • Data comprise numbers of soil microarthorpods (mesofauna) extracted over 10 days from soils in northern, subarctic Sweden sampled on 29th July 2019. Soils were sampled from treeline mountain birch forest and stands of tundra willow that were wither ‘girdled’ (connection between leaves and roots cut by disrupting the phloem transport) or ‘control’ (no treatment), 2 years prior. Full details about this dataset can be found at https://doi.org/10.5285/d3c98f24-7a4d-40b8-989a-6cc340e91cac

  • Fungal community DNA was sequenced from soils in northern, subarctic Sweden. Soils were sampled from treeline mountain birch forest and stands of tundra willow that were wither ‘girdled’ (connection between leaves and roots cut by disrupting the phloem transport) or ‘control’ (no treatment), 0, 1 and 2 years after the treatment was applied. Full details about this dataset can be found at https://doi.org/10.5285/d6c787ec-146c-461b-b8a2-e0251259036c

  • This dataset contains occurrence records and associated metadata for the zooplankton species Calanus finmarchicus that were compiled from multiple open access databases. A file containing the corresponding background points is provided, along with gridded environmental variables for each season (Jan-Feb-Mar, Apr-May-Jun, Jul-Aug-Sep, Oct-Nov-Dec) and era (1955-1984, 1985-2017) that were assessed in this study. Together these data were used as input files for the MaxEnt ecological niche model within the peer reviewed article: Freer JJ, Daase, M, Tarling GA, (2021) Modelling the biogeographic boundary shift of Calanus finmarchicus reveals drivers of Arctic Atlantification by subarctic zooplankton, Global Change Biology. Finally, an R Markdown document is provided to enable data users to replicate the model optimisation and prediction steps using the input data files within this repository. Funding was provided by: UKRI Natural Environment Research Council (NERC): DIAPOD (NE/P006213/1), NERC and the German Federal Ministry of Education and Research (BMBF): CHASE (NE/R012687/1), Norwegian Research Council: Deep Impact project (300333).