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

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

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 main goal of the project is the identification of well-characterized case studies aimed at a radiative self-consistency experiment of ice clouds and in mixed phase on the Antarctic Plateau, as well as the improvement of current spectral patterns in the far-infrared region. This can be achieved through the synergistic use of various measurement instruments operating in different bands of the electromagnetic spectrum and installed at the Concordia base, particularly at the Physics shelter. The infrared radiation emitted by the atmosphere and clouds is measured by the Fourier transform spectroradiometer REFIR-PAD (Radiation Explorer in Far Infrared - Prototype for Applications and Development) operating at Concordia since 2012 inside the DoCTOR PNRA project by Dr. Giovanni Bianchini (https://www.pnra.aq/it/project/330/dome-c-tropospheric-observer-osservatorio-troposferico-dome-c). The position and phase of clouds is estimated by the backscattering and depolarization LIDAR active since 2008. The particle size distribution can be estimated by an ICE- CAMERA, i.e., a kind of optical scanner that collects precipitating ice crystals on the shelter roof. As of the 2018-2019 campaign, a 24 GHz weather radar (Micro Rain Radar, MMR) operating continuously has been installed on the roof of Physics, which can provide an estimate of the precipitation rate of ice crystals and the falling velocities of those crystals. From these measurements, efforts are also being made to estimate the ice content in the case of precipitating ice clouds. Finally, during the last 2019-2020 campaign, a HALO-CAMERA was also installed, which can provide an estimate of the shape of ice crystals that can be used as a priori information in transfer models radiative suitable for simulating the effect of clouds. In order to complete the radiative closure (or self-consistency) experiment, the idea is to use the values of the parameters of the precipitating ice clouds, i.e., optical thickness and effective diameter, obtained from the inversion of the spectra produced by REFIR-PAD, to characterize the size distribution of the ice crystals and use the latter to calculate the reflectivity at the MRR radar wavelength, i.e., 24 GHz. The calculation of reflectivity obviously depends on the type of particles (habit) that are assumed, so the inversion procedure of the spectra produced by REFIR-PAD is repeated assuming different types of particles, thus using different optical property databases depending on whether aggregates, bullet rosettes, hexagonal columns, platelets or hollow columns are used. Consequently, the same habit assumptions will have to be made for the calculation of radar reflectivity. The reflectivity obtained can at this point be compared with the experimental reflectivity measured by MRR. Data analysis was carried out by Dr. Alessandro Bracci of ISAC-CNR and Giacomo Roversi of Ca' Foscari University of Venice, both belonging to the group led by Dr. Luca Baldini. Unfortunately, the very small size of the crystals at Concordia, due to the extremely low temperatures and very low humidity values, make it difficult to detect many of these crystals. For this reason, an initial work involved precisely the selection of optimal cases that could be analyzed. The work appears to be still in progress although positive results have already been obtained from the retrieval products of REFIR-PAD, which have allowed the estimation of the reflectivity at 24 GHz, which has been compared ,in the cases of best radar signal, with that measured by MRR obtaining a good agreement. The backscattering signal allows to derive the top and bottom elevations of the cloud to be fixed in the simulation of the radiative transfer. The depolarization signal makes it possible to discriminate the presence of ice, as water droplets do not produce depolarization signal. The lidar data, along with halo-camera and ice-camera data, are provided by Dr. Massimo Del Guasta.

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.

De novo transcriptome analysis of Colobanthus quitensis Antarctic vascular plant grown under condition miming the global warm-up.

Pictures of the ice camera and the halo camera positioned at Concordia Station (Dome C, Antarctica). Data are available on the INO-CNR server on request to Dr. Massimo Del Guasta. 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 ice and halo imager cameras enable an assessment of the cloud ice crystals micro-physics.

Antarctic aquatic eukaryotic biodiversity provides an unlimited and largely unexploited source of bioactive molecules that may be utilized for the benefit of human health. The aim of our proposal is to probe antibiotic and anticancer properties of these molecules isolated from a selected panel of freshwater and marine eukaryote species, that can be sampled in the area of MZS with no impact on local biodiversity and can, in large measure, be cultivated and/or maintained in laboratory for long periods at very reduced costs. The sampling of species will be conducted on Protists (ciliates and dinoflagellates), Rotifera (bdelloids), obtaining sponge primmorphs, collecting fish body surface mucus, sequencing transcriptomes from Protists, Rotifers, Echinoderms, and Tunicates to be scanned for genes expressing antimicrobial peptides and enzymesproducing bioactive metabolites. The targets of the project are: i) to sample Protists, Rotifers and macroeukaryotes from marine and freshwater environments, ii) to culture Protists, Rotifers, andobtain demosponge primmorph cultures, iii) to sequence transcriptomes to be added to transcriptomes already obtained by the proposing groupand to identify putative candidate peptides, iv) to obtain purified biochemical fractions from Protists, Rotifers, primmorph and fish surface mucus,v) to test produced fractions and synthetic peptides for their in vitro anticancer and antibiotic activities. The proposal involves three research unitsof the Universities of La Tuscia, Trieste and Camerino, and one unit of the National Research Council in Naples. These units maintain solid and documented relationships of collaboration with a multi-year experience in Antarctic eukaryotic physiology, biochemistry and molecular biology.The proposal can also rely on the official collaboration with the laboratories of Prof. Ian Hawes and Prof. Chris Battershill from the University ofWaikato (NZ), with experience in Antarctic freshwater biology and bioactive molecules.

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.

Trophic interactions underlie coexistence mechanisms between species, define the functional role of specie within communities, affect biodiversity and bioaccumulation processes of heavy metal. Sea-ice dynamics, which at Terra Nova Bay is characterized by an extraordinary seasonality, drives interspecific interactions and the exchange of materials between ecosystem compartments. Indeed, the activation of the primary production after sea-ice break up opens alternative trophic pathways for consumers. The “next generation SRPs” represent a highly appropriate framework for the present project which follows the results obtained with the previous project ISOBIOTOX (PNRA 2013) and aims at (i) determine topological and functional metrics of sympagic and pelagic food webs at Terra Nova Bay under different conditions of sea-ice coverage along a distance gradient from the nearest open water polynya to areas were the seasonal sea-ice coverage persists longer; (ii) evaluate bioaccumulation and biomagnification of heavy metals in trophic sources at the base of the food web and in target species along food chains, including fishes of commercial interests and top predators, both in the presence and absence of sympagic and pelagic primary producers. High resolution food webs will be reconstructed by means of the simultaneous elemental and isotopic analysis of different elements (C and N) and the bioaccumulation of pollutants. The research program integrates complementary research approaches: (a) Elemental analysis coupled with mass spectrometry for stable isotope analysis (δ13C, δ15N) in animal and vegetal tissues and dead organic matter, (b)analyses of heavy metals accumulation (Chromatography) in the constituent species of the Antarctic food web.