CNR Antarctic Data Center
CNR Antarctic Data Center (CNR)
Continents, countries, sea regions of the world.
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.
GENERAL INFORMATION ABOUT THE DATA ORIGIN AND HOW IT GETS TRANSFORMED ALONG THE WAY FROM THE INSTRUMENT TO THE DATABASE.
ESCAPE-Sky brightness measurements obtained during the summer campaign 2022-2023
Calibrated (in unit of solar disk brightness) measurements of the sky brightness at DOME C as obtained by the ESCAPE experiment during the campaign 2022-2023
Oral cavity metagenomic data of volunteers at Mario Zucchelli station
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.
human oral microbiome, microbiome transmission, metagenomic
Human skin metagenomic data of volunteers at Mario Zucchelli station
We will collect skin 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.
human skin microbiome, microbiome transmission, metagenomic
Human gut microbiome data of volunteers at Mario Zucchelli station
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.
human microbiome, microbiome transmission, metagenomics
https://doi.org/10.1594/PANGAEA.896816 https://doi.pangaea.de/10.1594/PANGAEA.896816
BSRN (YOPP) - Basic and other measurements of radiation at Concordia Station (2018-11)
Basic and other measurements of radiation at Concordia Station during "November" "2018": for other details see the full metadata description at https://doi.pangaea.de/10.1594/PANGAEA.896816
The data set was checked for completeness, correctness, and consistency of metainformation. Validity of used methods was checked and - if applicable - precision and range of data.
Ice camera and halo camera pictures at Concordia Station (Dome C, Antarctica) - FIRCLOUDS PNRA project
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.
Data has been collected automatically using ground-based instruments on site.
SIZA - Mesoplankton community samplings in Terra Nova Bay
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.
Data collected with a 200 μm mesh net, preserved in a solution of seawater and 70% alcohol and organisms identified in the laboratory of the University of Genoa.
Bias-corrected data from the preoperational MiKlip system for decadalclimate predictions used in the PNRA-IPSODES project
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)
decadal climate predictions; sea ice; ocean dynamics; variability
This dataset consists of climate model output further processed to remove systematic errors (drift, bias)
Lidar backscattering and depolarization data at Concordia Station (Dome C, Antarctica) - FIRCLOUDS PNRA project
Backscattering and depolarization data from a LIDAR 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 projectis 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. A backscattering/depolarization lidar contributes to the estimation of the clouds position and phase, and of the optical extinction profile.
CNR - Consiglio nazionale delle ricerche
INAF - Istituto Nazionale di Astrofisica
LINK A PROPRIA SCHEDA PROGETTO su PORTALE PNRA
Website of Dr. Massimo Del Guasta (coordinator)
INAF-Astrophysical Observatory Of Torino
Institute of Atmospheric Sciences and Climate of the Italian National Research Council, Bologna
Ca' Foscari University of Venice and CNR ISAC Rome