This dataset comprises raster model outputs from a Bayesian additive regression tree model predicting habitable area for snow algae on the Antarctic Peninsula. The dataset shows the likelihood that snow is habitable for snow algae growth and is presented for red snow algae (RSA) and green snow algae (GSA) for 2021 climatic conditions as well as for predicted 2100 climate conditions under the RCP8.5 warming scenario. The purpose of this model was to predict the potential coverage of snow algae under different temperatures, as well as to explore the climatic and environmental factors influencing their distribution. This work was carried out by researchers as part of the NERC-funded research project NE/V000764/1 investigating the historical, present and future snow algae distribution in Antarctica.

This dataset includes a set of modelled outputs produced as part of the DECIDE project. Three groups were modelled; butterflies, day-flying moths and night-flying moths. (For the moths, we only considered 'macro-moths'.) For each group there are three outputs; species richness, model variability and DECIDE recording priority. The outputs summarise across multiple species within each group. The model’s prediction probability of occurrence for individual species is not made available. The outputs are in a raster format on Ordnance Survey National Grid reference system (OSGB) at 100m x 100m resolution. Species richness layers are a modelled prediction of how many species are present at a location. Model variability is used to determine where a model is uncertain about its prediction of species occurrence. Model variability is combined with information about how recently a species had been recorded to produce the DECIDE recording priority. The DECIDE recording priority is a measure to prioritise locations to support adaptive sampling of where to collect species occurrence data to improve species distribution models. Full details about this dataset can be found at https://doi.org/10.5285/445381ce-f412-48a0-bc3c-2d0ef4737274

This dataset contains occurrence records for ten Southern Ocean myctophid fish species that have been downloaded and cleaned from the online biodiversity repository GBIF. As well as providing GBIF documented metadata for each occurrence record, this dataset provides environmental conditions - specifically bathymetry, temperature, salinity, dissolved oxygen and net primary productivity - for each record. Both sea-surface and depth-specific values for the temperature, salinity and oxygen variables are given in separate data files. A third data file of corresponding background points and their associated environmental conditions is also provided. Together these data were used as input files for the MaxEnt ecological niche models within the peer reviewed article: Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2020) Estimating circumpolar distributions of lanternfish using 2D and 3D ecological niche models, Marine Ecology Progress Series.