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 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.