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.

The dataset provides transcripts from focus groups in Salima, Mangochi and Zomba (Malawi). The focus groups' discussions focused on important monthly agricultural activities in association with the climate services and extreme weather events. This outlined how climatic factors affected agricultural decision-making. The data were produced as part of NERC Program Science for Humanitarian Emergencies and Resilience (SHEAR). Grant reference - Improving Preparedness to Agro-Climatic Extremes in Malawi (IPACE-Malawi). Full details about this dataset can be found at https://doi.org/10.5285/199b0046-79a3-4e74-8152-17f10c376671