This dataset contains solution data produced by the BAS-PRO proton radiation belt model for the study "Modelling Inner Proton Belt Variability at Energies 1 to 10MeV using BAS-PRO". The solution data is in the form of 3D grids describing phase space density computed during dynamic simulations of Earth's proton belt over the modelling period 2014 to 2018. Three model runs are included: SA19, J81 and S16. Files were produced in May 2021. This work was funded by the Natural Environment Research Council (NERC) via Doctoral Training Programme NE/R009457/1. Richard B. Horne and Sarah A. Glauert were supported by NERC National Capability grants NE/R016038/1 and NE/R016445/1, and by NERC grant NE/V00249X/1 (Sat-Risk), and by Highlight Topic Grant NE/P01738X/1 (Rad-Sat). Giulio Del Zanna acknowledges support from STFC (UK) via the consolidated grants to the atomic astrophysics group (AAG) at DAMTP, University of Cambridge (ST/P000665/1 and ST/T000481/1). Seth G. Claudepierre acknowledges support from NASA Grant no. NNX17AF10G and from RBSP-ECT funding provided by JHU/APL Contract 967399 under NASA's Prime Contract NAS5-01072.

This dataset contains biologging data of captive red deer Cervus elaphus, to study sleep behaviour. This includes acceleration (m/s2), magnetometer (gauss), and temperature (degrees Celsius) measurements, collected using collar-mounted accelerometer and magnetometer recorders at 20Hz. This data was collected from 18 adult individuals; 13 male, 5 female, in 2023 over three deployments. Deployment 1 (males) 13/06/23 – 1/8/23; deployment 2 (males) 04/09/23 – 08/11/23; deployment 3 (females) 13/11/23 – 21/11/23. Deer were housed at the VUZV facility, Uhrineves, Prague, Czech Republic. This dataset was funded by NERC, as part of project “NE/X010368/1: Sleep in the landscape of fear” and was measured to aid in the creation of a classification model to detect sleep in red deer from collar accelerometers, as well as to test arousal thresholds in sleeping deer. Full details about this dataset can be found at https://doi.org/10.5285/e7fdf789-e663-4422-92c2-ea8019b3cc26