We will collect stool samples from the volunteers at the Mario Zucchelli Station at different time points. The samples will be analysed by shotgun metagenomic sequencing, considering only the microbial component.

Terra Nova Bay (Ross Sea, Antarctica), characterized by a moltitude of ice tongues flowing from land to sea, represents an ideal study site for understanding the complex interaction between relative sea level variations and ice sheet dynamics during the Holocene. The DISGELI project, thanks to the combination of innovative technology and traditional methods for geomorphologic and stratigraphic analysis, aims to: i) reconstruct the local variations of the East Antarctic Ice Sheet after the Last Glacial Maximum; ii) provide a time constrain for the deglaciation processes along the coast; iii) reconstruct, with unprecedent detail, the relative sea level variations during Holocene in the Drygalski basin. The morpho-bathymetric and topographic data obtained through this study will be integrated using digital terrain models based on the analyses of key areas onland, where palaeo-coastlines and sea-level markers have been identified.

We will collect oral samples from the volunteers at the Mario Zucchelli Station at different time points, using safe and not harmfull kits. Samples will be analysed by shotgun metagenomic sequencing, considering only the microbial component.

The Concordia Research Station provides a unique location for preparatory activities for future human journey to Mars, to explore microbial diversity at subzero temperatures and monitor the dissemination of human-associated microorganisms within the pristine surrounding environment. The present study was performed in the frame of the BacFinder project (European Space Agency, ESA AO-13-Concordia) with the aim to unravel the environmental- and human-associated microbial diversity in the surrounding of the Concordia Station. This is the first intensive and extensive surface snow sampling performed monthly over a two-year period at three distances (10, 500, and 1000 m) from the Concordia Station, and investigated by a high-throughput sequencing approach. Emphasis was laid on the relation between microbial presence and both seasonality and distance from the Base. Data suggested that if present the anthropogenic impact was below the detection limit of the employed DNA sequencing-based techniques. On the other hand, our study corroborated the use of DNA sequencing for revealing microbial presence in remote and hostile environments, with implications for Planetary Protections and for life-detection in astrobiology relevant targets.

The lidar observatory at Dome C, Concordia station, is one of the primary stations of the NDACC network (Network for the Detection of Atmospheric Composition Change). Since 2014 the lidar observes polar stratospheric clouds at a height between 12 and 26 km typically, from early June until the end of Settember. These PSCs play an important role in the ozone chemistry and promote the depletion of the stratospheric ozone layer. The lidar can detect even very thin PSC layers and can provide important information about their chemical composition. The lidar can be used to study formation and dynamical processes and to provide long term records useful for climate studies.

Antarctic ecosystems have a high number of species, that are closely linked to the presence of sea ice and seasonal cycles. This biodiversity is subject to anthropogenic and natural influences. Zooplankton communities can provide a static snapshot of the health of the ecosystem. Zooplankton samples were collected with a 200 μm mesh net at 3 different sampling points at 80 m depth.

Surface ozone data, collected through a UV-absorption analyzer (49i or 49c)

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The RESTORE project is dedicated to the development of portable robotic technologies with the capability to perform multi-disciplinary multi-parametric 3-D monitoring of marine environment. Its primary focus lies in examining critical areas such as the air-sea-ice and water-sediment interfaces in Antarctica. This endeavour aims to support various research aspects, including the study of microbial ecology and DNA tracing, as well as the investigation of Antarctic geology, particularly the dynamics surrounding glaciers and ice-covered coastal regions. Furthermore, RESTORE is committed to scrutinising the impacts of climate change on the Antarctic atmosphere and the exchanges that occur between the sea and air. The comprehensive dataset collected during RESTORE will provide researchers with a holistic perspective on an extreme and remote environment such as Antarctica, facilitating the interpretation of atmospheric and oceanic dynamics at the interface zones and, the 3D mapping of the underwater environment and the physical characterisation of the sampled region.

This dataset contains a selection of bias-corrected data from the preoperational MiKlip system for decadal climate predictions (Mueller et al., 2018) used within the project PNRA18_00199-IPSODES. The adopted method for bias correction is described in the file bias_correction.pdf attached to the dataset. Also data from the assimilation run are provided. Nomenclature of variables follows that of the original MiKlip output. Mueller, W., et al. A Higher‐resolution Version of the Max Planck Institute Earth System Model (MPI‐ESM1.2‐HR). J. Adv. Model. Earth Syst. 10, 1383-1413 (2018)