This dataset comprises measurements from S1 Mooring, which is managed by the Institute of Polar Sciences of the National Research Council (CNR) and National Institute of Oceanography and Applied Geophysics (OGS). The data was gathered on the Fram Strait south of the Spitsbergen in an open-sea area strongly influenced by both the interaction between Atlantic (northward-moving) and Arctic (southward-moving) waters as well as by the presence and winter formation of sea ice and atmospheric forcing. To understand these dynamics, a deep-water oceanographic S1 Mooring was anchored at about 1040 meters depth, since June 2014 and is 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. The dataset is related to instrument mounted at 1010 m during the 2023 - 2024 survey. The instrument measures sea-water temperature, conductivity, oxygen and turbidity and related salinity and density anomaly. 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.

Reflectance measurements - CCT. This dataset contains spectral reflectance measurements collected in situ during the peak of the summer growing season (July) for Bistorta vivipara, Cassiope tetragona, Oxyria digyna, Saxifraga oppositifolia, Carex rupestris, Dryas octopetala, and Salix polaris. Reflectance data are fundamental for assessing the optical properties of the vegetation and deriving key spectral indices (e.g., Normalized Difference Vegetation Index (NDVI), PRI).

ISotopic and physical-chemical MOnitoring of GLACial drainages and sea water in the Ny-Ålesund area (Svalbard) (ISMOGLAC) Sampling and in-situ measurements on snow and water, performed into both Kongsfjorden and glacial streams that originate in supraglacial, englacial and subglacial zones of different glaciers (Midtre Lovenbreen, Austre broggerbreen, Vestre Broggerbreen, Kongsvegen). Dataset concerns water isotopes signature of snow and Kongsfjorden water and physical-chemical data of the latter.

This resource contains seismic recording data acquired by a 24-sensor seismic array installed close to IFG1 piezometer in Ny-Ålesund, Svalbard, in June 2026. The sensors were deployed along a linear array with an interstation spacing of 1 m, resulting in a total array aperture of 23 m. The longitudinal axis of each sensor was oriented towards the N70° direction, which was also the orientation of the array. Active seismic surveys were performed using a 5 kg sledgehammer as the seismic source. The impacts were generated by striking the hammer on a metal plate coupled to the ground surface to ensure efficient energy transfer into the subsurface. Seismic data were recorded at a sampling frequency of 4000 Hz. The seismic recordings are provided as 160-millisecond-long SEG-Y files starting from the shot time. Each file corresponds to the seismic response generated by a single individual shot and contains the data recorded by the seismic array following that source activation. Along with the seismic data, are here provided the kml showing the position of the first and last sensors in the array configuration, a xlsx file providing the correspondence between ID of the shots and respective offset, and a docx file describing the nomenclature of the SEG-Y files.

This resource contains seismic recording data acquired by a 24-sensor seismic array installed near the Climate Change Tower in Ny-Ålesund, Svalbard, in June 2026. The sensors were deployed along a linear array with an interstation spacing of 1 m, resulting in a total array aperture of 23 m. The longitudinal axis of each sensor was oriented towards the N100° direction, which was also the orientation of the array. Active seismic surveys were performed using a 5 kg sledgehammer as the seismic source. The impacts were generated by striking the hammer on a metal plate coupled to the ground surface to ensure efficient energy transfer into the subsurface. Seismic data were recorded at a sampling frequency of 4000 Hz. The seismic recordings are provided as 160-millisecond-long SEG-Y files starting from the shot time. Each file corresponds to the seismic response generated by a single individual shot and contains the data recorded by the seismic array following that source activation. Along with the seismic data, are here provided the kml showing the position of the first and last sensors in the array configuration, a xlsx file providing the correspondence between ID of the shots and respective offset, and a docx file describing the nomenclature of the SEG-Y files.

This resource describes the Electrical Resistivity Tomographies carried out in the piezometer area, proglacial zone of the glaciers Vestre and Austre Brogggerbreen, southwest of the Ny - Älesund settlement. An electrode spacing of 1 m has been used for the ERT profile (N70° oriented) carried out close to IFG1 piezometer (installed in the framework of ICE2FLUX project), for a total extension of the ERT profile of 47 m. Two partially overlapping ERT profiles, N110° oriented, with an electrode spacing of 1 m and a total length of 70 m have been carried out close to IFG2 piezometer (ICE2FLUX project) and NP1 and NP3 piezometers (installed in the framework of SPRING project). Finally, two adjacent 0.5 m electrode spacing ERT profiles have been carried out close to IFG3, NP2 and NP4 piezometers respectively.

This dataset comprises measurements from moored thermistor, collected by the Aldo Pontremoli Mooring (MAP), which is managed by the Institute of Polar Sciences of the National Research Council (CNR). The Aldo Pontremoli Mooring (MAP), operated by the Institute of Polar Sciences of the National Research Council (CNR), has been active in the Kongsfjord, located in the Svalbard archipelago, since September, 2020. The instrument collect physical Essential Ocean Variables, including sea water temperature. This activity is part of the Svalbard Integrated Arctic Earth Observing System (SIOS), which aims to monitor the impacts of climate change, such as the rapid loss of sea ice cover, the retreat of local glaciers, and the Atlantification of Arctic seas. Time series acquisition is ongoing and will continue, supported by funding from JRA ENI-CNR. The project's goal is to analyse the environmental feeback related to the material released into the marine environment due to permafrost melting. Reactivated permafrost can have significant consequences for both climate and the environment by contributing to the release of greenhouse gases into the atmosphere and pollutants into aquatic ecosystems

This dataset comprises measurements from moored Sediment Trap mounted on S1 Mooring. The mooring is managed by the Institute of Polar Sciences of the National Research Council (CNR) and National Institute of Oceanography and Applied Geophysics (OGS). The data was gathered on the Fram Strait south of the Spitsbergen in an open-sea area strongly influenced by both the interaction between Atlantic (northward-moving) and Arctic (southward-moving) waters as well as by the presence and winter formation of sea ice and atmospheric forcing. To understand these dynamics, a deep-water oceanographic S1 Mooring was anchored at about 1040 meters depth, since June 2014 and is 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. Mesured properties: Total Sedimentation flux , Sedimentation flux of organic carbon in the water column, Sedimentation flux of total nitrogen in the water column, Sedimentation flux of CaCO3 in the water column, Sedimentation flux of non-metallic inorganic species (opal) in the water column, Sedimentation flux of Organic Matter in the water column, Sedimentation flux of lithogenic fraction in the water column

pH tipping point in Svalbard (pHinS) The project is focused on carbonate chemistry in the fjord and measure how meltwater, icebergs and freshwater runoff affects the acidity of coastal seawater. Acquisition of CTD profiles and seawater samples at discrete depths (surface, bottom and 1-3 intermediate depths) to determine pH, total alkalinity, dissolved inorganic carbon, dissolved oxygen, nutrients, dissolved organic carbon. Collection of samples from icebergs and streams to determine the same set of parameters measured in the seawater. Some of the analysis were performed in the laboratory of the “Dirigibile Italia” Arctic station soon after the collection; others will be performed on preserved samples in ISMAR’s laboratories. 62 water column profiles of pressure, Temperature, salinity, dissolved oxygen, turbidity instrument: SBE19plus

This dataset comprises measurements from S1 Mooring, which is managed by the Institute of Polar Sciences of the National Research Council (CNR) and National Institute of Oceanography and Applied Geophysics (OGS). The data was gathered on the Fram Strait south of the Spitsbergen in an open-sea area strongly influenced by both the interaction between Atlantic (northward-moving) and Arctic (southward-moving) waters as well as by the presence and winter formation of sea ice and atmospheric forcing. To understand these dynamics, a deep-water oceanographic S1 Mooring was anchored at about 1040 meters depth, since June 2014 and is 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. The temperature sensor mounted at 893 m measures sea-water temperature. 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.