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    Continuous physical-chemical monitoring (1 measurement each 15 min) performed by a CTD probe and a turbidity sensor installed at the Bayelva river near the new bridge. Measurements are carried out during summer period, from the beginning of the melting season to beginning of autumn when the water start freezing.

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    The automated station to measures snow cover is operating at the Amundsen-Nobile Climate Change Tower since 2010, which is in a tundra site almost flat, located in the Kolhaugen area. The station is part of a complex infrastructure where multi-disciplinary observations are routinely performed. Data were collected using an ultrasonic distance sensor. This activity is carried out in the framework of the SnowCorD project (SIOS Core Data).

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    Climate-Cryosphere-Carbon interactions in Kongsfjorden, Svalbard (C3) Use sediment cores as archives of climate-induced destabilizations in the fjord. By targeting well known past climate changes (MWP and LIA) we will understand how the C3 system varied during natural warming and cooling events. Retrieve of two sediment cores in Kongsfjorden, in summer 2017, to encompass the last 1k years.

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    temperature, electrical conductivity, hydrometric level measured in piezometers located near CCT (Ny-Alesund)

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    The Brøgger peninsula located in the north-western sector of Svalbard, is rich in shallow lakes, very different in morphology, height from sea level, composition of lake sediments, seasonal snow cover and presence/absence of migratory avian fauna in their catchment areas . In 2022, as part of the EcoClimate project (PI Prof. Edoardo Calizza), the research unit of the Institute of Polar Sciences of Messina set up a first series of sensors (Temperature; light) in 8 lakes spatially distributed at different heights from the sea and with different inputs of organic and inorganic substance. The observatory is currently in its second year of measurements.

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    Snow Core Data (SnowCorD) Project start: 2021-05-01 - end: 2025-12-31 The estimation of the Fractional Snow-Covered Area in the Brøgger Peninsula ensambling processed imagery located at different sites with different spatial resolutions. This dataset will be aimed to support the estimation of cryospheric information using remotely sensed data. The Ensembled FSCA retrievals are obtained, at the moment, by terrestrial photography applications established at the Amundsen-Nobile Climate Change Tower, at the Zeppelin observatory and at the Gruvebadet Snow Research Site in the Kongsfjorden area.

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    This dataset comprises measurements from moored CTD instruments, collected by the Mooring Dirigibile Italia (MDI), which is managed by the Institute of Polar Sciences of the National Research Council (CNR). The data was gathered at Kongsfjorden, Svalbard Island, between 29 May 2016 and 29 August 2023. This dataset is also part of the SIOS-Svalbard Integrated Arctic Earth Observing System, developed to observe the impacts of climate change, including the rapid loss of sea ice cover, the retreat of local glaciers, and the Atlantification of Arctic seas. Measured properties are: sea-water pressure, temperature, potential temperature, practical salinity, density, turbidity, fluorescence, PAR and dissolved oxygen in sea-water. The acquisition of this time series data is still ongoing and will continue, bolstered by the inclusion of this infrastructure within the framework of the Italian PNRR project ITINERIS. This ensures sustained data collection and further enhances our understanding of the observed environmental changes.

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    This dataset comprises measurements from a moored single-point acoustic current meter, collected by the Mooring Dirigibile Italia (MDI), which is managed by the Institute of Polar Sciences of the National Research Council (CNR). The data was gathered at Kongsfjorden, Svalbard Island, between 10 September 2010 and 29 August 2023. This dataset is also part of the SIOS-Svalbard Integrated Arctic Earth Observing System, developed to observe the impacts of climate change, including the rapid loss of sea ice cover, the retreat of local glaciers, and the Atlantification of Arctic seas. Measured properties are: subsurface temperature and subsurface currents. The acquisition of this time series data is still ongoing and will continue, bolstered by the inclusion of this infrastructure within the framework of the Italian PNRR project ITINERIS. This ensures sustained data collection and further enhances our understanding of the observed environmental changes.

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    This dataset comprises measurements from moored CTD instruments, collected by the Mooring Dirigibile Italia (MDI), which is managed by the Institute of Polar Sciences of the National Research Council (CNR). The data was gathered at Kongsfjorden, Svalbard Island, between 9 September 2010 and 29 August 2023. This dataset is also part of the SIOS-Svalbard Integrated Arctic Earth Observing System, developed to observe the impacts of climate change, including the rapid loss of sea ice cover, the retreat of local glaciers, and the Atlantification of Arctic seas. Measured properties are: sea-water pressure, temperature, potential temperature, practical salinity, density, turbidity and dissolved oxygen in sea-water. The acquisition of this time series data is still ongoing and will continue, bolstered by the inclusion of this infrastructure within the framework of the Italian PNRR project ITINERIS. This ensures sustained data collection and further enhances our understanding of the observed environmental changes.

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    The automated nivological station was installed in November 2020 in a flat area over the tundra about 80 meters far from the Gruvebadet Atmospheric Laboratory and nearby a snow sampling site from where weekly snow samples are collected for chemical analysis. Sensors (Pt100 1/3 DIN) have been calibrated by their companies before installation and are connected to a datalogger for continuous acquisition. For all the parameters, data are logged with 10-minute time resolution and then averaged over 1 hour. This activity is carried out by the Aldo Pontremoli Centre part of the Joint Research Agreement ENI-CNR, in the framework of the SnowCorD project (SIOS Core Data).