The observatory created within the project AMICO records microenvironmental parametrs in rocks and soils of 4 localities in Northern Victorial Land: Battleship Promontory, Richard Nunatak, Trio Nunatak, Mount Bowen. The observatory records in each locality moisture, solar radiation, PAR, wind speed, wind direction, gist speed, and rock, soil and air temperature. Data are collected every two hours and are trasmitted remotely daily. On the website it is possible to navigate and visualize the data.

This dataset reports the snow density observations at the Concordia Station, Antarctica. A snow trench is dig once per month (or every three months during winter) in the clean area near the Station (< 1 km). Four measurements are taken inserting a core barrel (with a diameter of 4.5 cm and a length of 25 cm) horizontally into the snow at 10 cm depth, and four more measurements are taken inserting another core barrel (with a diameter of 3.7 cm and a length of 9.2 cm) vertically, from the surface to 10 cm depth. The snow density is calculated from the weight.

This is a compilation of all Concordia station datasets that were/are published in the frame of BSRN. The collection will be updated regularly with recent data. The data are subject to the data release guidelines of BSRN (https://bsrn.awi.de/data/conditions-of-data-release/). Basic and other measurements of radiation at Concordia station (2006-01 et seq) .

Aerosol Optical Depth (AOD) 500nm and alpha.

We present the snow samples collected for the PASSPORT project during the 2025-2026 Antarctic Campaign. We report the number of snow samples collected, the depth of the samplings, their geographic information, the sampling and treatment date, the treated volume, snow density and temperature and weather conditions.

This dataset reports the height observations of the Italian stake farm at the Concordia Station, Antarctica. The stake farm consists of 13 stakes, separated from each other by 10 m, arranged in a cross shape structure, located approximately 800m southwest of the Station and sampled on monthly basis or so.

Here we present the surface snow samples collected along the international EAIIST project traverse, which took place in 2019-2020 Antarctic Campaign. We report the number of surface samples (upper 10 cm and integrated 1m samples) collected and their geographic information.

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.

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. Macrozoobenthic communities are the 'biological memory' of the ecosystem, structuring themselves as a function of environmental changes over the years. Macrozoobenthos samples were collected using suction dredging and scraping techniques, in soft and hard bottoms. Sampling occurred in 5 different sites.

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)