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) .

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.

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)

Disdrometric data from a Thies Clima 3D Stereo with 22 size classes and 20 velocity classes positioned at L'Aquila (Italy, 42.3831 N, 13.3148 E, 683 m a.s.l.), with monthly spectra and ancillary information.

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.

The larval stages can be considered as the link from plankton to benthos. In order to study larval recruitment from zoobenthos, 40 tiles were placed at each of the four sites outlined in the project: Tethys Bay (control), Rod Bay (area subject to anthropogenic impact), Faraglione (control) and Adelie Cove (area subject to natural impact, linked to the presence of a penguin house). Due to adverse environmental factors all the tiles from Faraglione were lost and from Tethys Bay only half were found. The tiles were analysed with the help of a binocular, which enabled better visualisation of the organisms and, consequently, better identification.

SWD and DIF solar fluxes. Institute of Polar Sciences data from a local source.