Brief narrative summary of the content of the resource(s)

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

Cyclone Sample collection Teams collect two weekly 24-hour samples Teams create metadata by scanning QR codes on cyclone sampler and sample vial with Lifeplan app Teams store samples until shipment in a freezer - Sample shipping to Sweden - Sample cleaning by Lifeplan - Sample shipping to Guelph - Sample sequencing - Transfer of sequencing data to Lifeplan - Bioinformatics - Species lists Through LIFEPLAN, we aim to establish the current state of biodiversity across the globe, and to use our insights for generating accurate predictions of its future state under future scenarios. In LIFEPLAN, we thus characterize biological diversity through a worldwide sampling program, and develop the bioinformatic and statistical approaches needed to make the most out of these data.

Mixing state and organic volume fractions of sub micron aerosol particles collected at the Zeppelin observatory

Arctic Present Climate Change and Past Extreme Events (ARCA) Tephra are volcanic particles that can be used as chrono-stratigraphic tool for correlating sedimentary archives once they have been identified. Marine sediments have been analyzed from the GS191-01 PC core recovered during the PREPARED CRUISE 2014 in the Arctic Sea (western of Svalbard Islands). Some of these samples resulted positive and geochemical analyses will be perfomed to determine the volcanic source and establish possible correlations with known eruptions.

Atlantification of Arctic ocean is causing a sharp increase in temperature and salinity around Svalbard Islands and in Kongsfjorden. Such phenomenon and the input of sediment-rich glacial meltwater influence salinity, water column turbidity, and light penetration with ecological implications on the microbial features.

This dataset comprises measurements from moored surface buoy installed in the Kongsfjorden in proximity of the Mooring Dirigibile Italia (MDI). The buoy is managed by the Institute of Polar Sciences of the National Research Council (CNR). The buoy was moored in September 2023 with the aim to expand the observation on the sea-surface layer and also on the athmosphere in the framework of the Italian PNRR project ITINERIS. The buoy is equipped with sea surface temperature sensor positioned at 1m below the sea-level and meteorological station mounted at 2 m above the sea-leve. Mesured properties are seawater temperature, wind speed and direction, air pressure, air temperature, solar radiation and atmospheric humidity.

This dataset comprises measurements from moored sediment trap, collected by the mooring KIM mooring in the Krossfjord (Svalbard islands). The data was gathered at Krossfjorden, Svalbard Island, since September 2020. 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: Total Sedimentation flux.

Terrestrial Photography ApplicationS on Snow covEr in Svalbard (PASSES) Project start: 2018-04-15 - end: 2021-12-31 The purpose of this activity is the development of a new snow product focused on the estimation of the fraction of snow cover in selected sites at different spatial resolutions. This dataset will be aimed to support the estimation of cryospheric information using remotely sensed data, with a particular attention to data obtained in the framework of the Copernicus program. The availability of this dataset in a natural laboratory such as Svalbard islands will support the reduction of the gap between remotely sensed data and modeling activities. This added value will be very important considering the higher spatial resolution of the sensors recently deployed. The dataset will be based on re-using data obtained from public repositories such as the digital elevation model of Svalbard, the available webcam imageries in Svalbard and satellite products from Landsat, Sentinel and MODIS missions. All the available data will be integrated in order to estimate the fraction of snow cover, at different spatial resolutions, for each satellite mission. These estimations, computed at different sites in Svalbard islands, will offer the opportunity to better integrate results obtained by remote sensing with modeling and air-snow interactions studies. Particular attention will be devoted to the formalization of agreements with raw-data providers in case of not-public licensing policies.