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.

The ANT-Biofilm research project (PNRA16_00105) concerned the study of microbial colonization processes in coastal environments of Terra Nova Bay (Ross Sea), through the analysis of the microbial biofilm (bacteria, microalgae) and macrobenthic settlement on plastic substrates, with the aim of determining their possible variations caused by natural or anthropogenic disturbances (variations in salinity or the presence of contaminants, respectively). Microbial biofilms, which play a key role as a substrate for larval settlement of many species of invertebrates, constitute hot-spots of microbial diversity; and it is also known that the communities a microbial are capable of responding rapidly to changing environmental conditions, acting as potential "sentinels" of natural or anthropic perturbations that recently are threatening the Antarctic biota. During the first year of activity (XXXIII Italian expedition, November 2017) stainless steel structures were fixed on the seabed of Road Bay and Tethys Bay mounting panels of artificial substrates (Polyvinyl Chloride, PVC and PolyEthylene, PE) for colonization, which during the XXXIV expedition (November 2018) were retrieved in order to study the fouling formation processes at different levels of biological complexity (from microbial community including bacteria and microalgae to benthic invertebrates) and to evaluate their evolution in two coastal sites differently exposed to natural or anthropogenic forcings.

Vertical profiles along the first three kilometres of atmosphere above the ground (from 300 to 3000 m a.g.l.) of equivalent radar reflectivity factor (Ze), Doppler velocity (W) and Doppler spectral width (Sw) from a 24-GHz vertically pointing Micro Rain Radar MRR-2 by METEK GmbH positioned at Concordia Station (Dome C, Antarctica). The main objective of the FIRCLOUDS project is a complete spectral characterization of cirrus and mixed phase clouds in order to evaluate the radiative models in the FIR regime, where the clouds effect is very strong, and systematic spectral measurements are scarcely available. The micro rain radar (MRR) data allows the determination of the clouds reflectivity and the vertical velocity of ice crystals in the cases of precipitating clouds.

The Middle Trophic Level of the Ross Sea is still not well known but it mainly characterized by two species of Krill: Euphausia superba, Euphausia Crystallorophias. These species are a key food source for a wide variety of marine birds and mammals in the Ross Sea. For this reason, it's necessary to improve the knowledge on abundance and spatial distribution of MTL species, and their interconnection with environmental parameters to understand the main drivers of the reproductive success and migrations of these species. In this project, an acoustic survey, a synoptic net sampling and a CTD/XBT samplings were carried out following the standard protocols indicated by CCAMLR. Acoustic monitoring was performed at five frequencies: 38, 70, 120, 200 and 333 kHz. Targeted net samplings were performed to validate the preliminary species allocation of the aggregations observed on the echosounder screen. Biometric measures of krill samples was made on board and samples were taken for further analysis. CTD and XBT data was collected and elaborated to characterize water masses and to study the possible influences of the distribution of the main oceanographic parameters on MTL species.

Calibrated (in unit of solar disk brightness) measurements of the sky brightness at DOME C as obtained by the ESCAPE experiment during the campaign 2021-2022

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.

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.

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 water stable isotope composition (d18O, dD, D-excess) of precipitation at the Concordia Station, Antarctica. Daily precipitations are collected on benches (height: 1 m) in the clean area 800 m from the Station by the Concordia winter-over personnel. All samples are analyzed with laser spectroscopy (CRDS) or mass spectrometry (IRMS). 2008-2017 data are available here: https://doi.org/10.5281/zenodo.10197160; 2017-2021 data are available here: https://doi.org/10.1594/PANGAEA.971486

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.