We present a 3D crustal model of susceptibility distribution in the Messa Range in northern Victoria Land, East Antarctica. The inversion is based on airborne magnetic data with a line spacing of 500m conducted by the Federal Institute for Geosciences and Natural Resources (BGR) in 2010. The inverted susceptibility allows to discriminate the three dominant rock types in the area namely Kirkpatrick Basalt, Ferrar rock and Granit Harbour intrusive. We provide three netCDF files, which include the input magnetic data, the inverted magnetic field, and inverted crustal susceptibility distribution. Funding for this research was provided by NERC through a SENSE CDT studentship (NE/T00939X/1)

Relativistic electrons cause internal charging on satellites and are a significant space weather hazard. In this study we analyse approximately 20 years of data from the US Global Positioning System (GPS) satellite NS41 to determine the conditions associated with the largest daily averaged fluxes of E = 2.0 MeV relativistic electrons. The largest flux events at L = 4.5 and L = 6.5 were associated with moderate to strong coronal mass ejection (CME)-driven geomagnetic storms. However, the majority of the fifty largest flux events at L = 4.5 (30 out of 50) and L = 6.5 (37 out of 50) were associated with high speed solar wind streams from coronal holes. Both solar drivers are thus very important for relativistic electron flux enhancements in GPS orbit. The 1 in 3 year flux level was not exceeded following any of the fifteen largest geomagnetic storms as monitored by the Dst index (Disturbance storm time index), showing that the largest geomagnetic storms, most often associated with extreme space weather, do not result in significantly larger relativistic electron flux events in GPS orbit. The datasets include a summary plot of the month associated with the largest flux of 2.0 MeV electrons in GPS orbit during the study period (Figure 1) and a summary plot of the month associated with the largest geomagnetic storm during the study period (Figure 2). The fifty largest 2.0 MeV flux events at L = 4.5 as a function of the minimum Dst of the associated storm are provided in Figure 3.csv, the peak 2.0 MeV electron fluxes associated with the fifteen largest geomagnetic storms at L = 4.5 as a function of the minimum Dst of each of the storms are provided in Figure 4.csv, and the fifty largest 2.0 MeV flux events at L = 4.5 and the sunspot number are provided as a function of time in Figure 5_events.csv and Figure_5_sunspots.csv respectively. The characteristic widths of the fifty largest flux enhancements at L = 4.5 and L = 6.5 are provided in Figure 6.csv. Finally, the fifty largest 2.0 MeV flux events at L = 6.5 as a function of the minimum Dst of the associated storm are provided in Figure 7.csv, the peak 2.0 MeV electron fluxes associated with the fifteen largest geomagnetic storms at L = 6.5 as a function of the minimum Dst of each of the storms are provided in Figure 8.csv, and the fifty largest 2.0 MeV flux events at L = 6.5 and the sunspot number as a function of time are provided in in Figure 9_events.csv and Figure_9_sunspots.csv respectively. The research leading to these results has received funding from the Natural Environment Research Council (NERC) grants NE/V00249X/1 (Sat-Risk), NE/X000389/1 and NE/R016038/1.

Airborne magnetic data provides insight into the subsurface geology and tectonic history. This dataset includes processed airborne magnetic data collected over Marguerite Bay during the 2023/2024 Antarctic field season. This survey was carried out as part of a wider UKRI Innovate UK Future Flight-3 SWARM project in collaboration with Windracers Ltd to demonstrate their Ultra Uncrewed Aerial Vehicle (UAV) as a platform for environmental science. As part of this project ~1600 km of new high resolution aeromagnetic data with a ground clearance of 500m was collected around Rothera research station, West Antarctica. Data were acquired using a GEMSys GSMP-35U UAV magnetometer mounted on a Windracers Ultra UAV. Magnetic line data is provided as comma separated ASCII file. This study was funded by Innovate UK through their Future flight challenge support for the "Protecting environments with unmanned aerial vehicle swarms" project (reference: 10023377). We thank BAS operations for their support and specifically the BAS air unit and ground support staff whose close cooperation and engagement with the UAV deployment made the project successful. We also thank staff at Windracers and Distributed avionics who provided remote support for UAV operations across the field season.

We present a 3D crustal model of density and susceptibility distribution in Marguerite Bay, west Antarctica. The inversion is based on airborne gravity and magnetic data collected with a Windracers Ultra UAV (2023/2024 Antarctic season) with a line spacing of 2 km and a ground clearness of 500m. The inverted densities and susceptibilities allow us to contain and identify large scale 3D intrusion in Marguerite Bay. We provide a CSV file, which contains the coordinates, the depth and the inverted density and susceptibility distribution. This work was funded through "Protecting environments with unmanned aerial vehicle swarms" project number 10023377 as part of "Innovate UK Future flight challenge phase 3"