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CNR IAS
COST-EFFECTIVE SENSORS, INTEROPERABLE WITH INTERNATIONAL EXISTING OCEAN OBSERVING SYSTEMS, TO MEET EU POLICIES REQUIREMENTS
Alberto Ribotti - alberto.ribotti@cnr.it

(aerosolchemcomp)_2010-18_01
Dept Chemistry, University of Florence
Aerosol Biogeochemical cycles, Sources and TRansport processes in the climate-sensitive ArCTic
Aerosol load, Ion, metal, EC/OC measurements on bulk and size-segregated particulate matter at Gruvebadet
Rita Traversi - rita.traversi@unifi.it

0 NEW MEDATATO
CNR IAS
COST-EFFECTIVE SENSORS, INTEROPERABLE WITH INTERNATIONAL EXISTING OCEAN OBSERVING SYSTEMS, TO MEET EU POLICIES REQUIREMENTS
Alberto Ribotti - alberto.ribotti@cnr.it

AAAA_TEST
A
A
AAAA_TEST
A A - cosimo.elefante@gmail.com

Aerosol absorption coefficient
CNR-ISP
Monitoring of aerosol optical properties
Aerosol absorption coefficient at 3 wavelengths: 470, 530, 670 nm
Mauro Mazzola - mauro.mazzola@cnr.it

Aerosol scattering coefficient
CNR-ISP
Monitoring of aerosol optical properties
See project page.
Mauro Mazzola - mauro.mazzola@cnr.it

Aerosol vertical profiles_2014
Università degli Studi di Perugia
Atmospheric Gondola for Aerosol Profiles
Aerosol vertical profiles gridded at a 50 m spatial resolution: R, T, P, RH, Aerosol size distribution, BC concentration, O3. Maximum altitudes 1500 m.
David Cappelletti - david.cappelletti@unipg.it

Aerosol vertical profiles_2015
Università degli Studi di Perugia
Atmospheric Gondola for Aerosol Profiles
Aerosol vertical profiles gridded at a 50 m spatial resolution: R, T, P, RH, Aerosol size distribution, BC concentration. Maximum altitudes 1500 m.
David Cappelletti - david.cappelletti@unipg.it

Aerosol vertical profiles_2016
Università degli Studi di Perugia
Atmospheric Gondola for Aerosol Profiles
Aerosol vertical profiles gridded at a 50 m spatial resolution: R, T, P, RH, Aerosol size distribution, BC concentration. Maximum altitudes 1500 m.
David Cappelletti - david.cappelletti@unipg.it

Aerosol vertical profiles_2017
Università degli Studi di Perugia
Atmospheric Gondola for Aerosol Profiles
Aerosol vertical profiles gridded at a 50 m spatial resolution: R, T, P, RH, Aerosol size distribution, BC concentration. Maximum altitudes 1500 m.
David Cappelletti - david.cappelletti@unipg.it

Aerosol vertical profiles_2018
Università degli Studi di Perugia
Spatial Distributions of Black Carbon and Mineral Dust in Air and Snow Surface Layers upon Svalbard Glaciers
Aerosol vertical profiles gridded at a 50 m spatial resolution: R, T, P, RH, Aerosol size distribution, BC concentration. Maximum altitudes 1500 m.
David Cappelletti - david.cappelletti@unipg.it

aerosol_flux_2020_01
Istituto di Scienze dell'Atmosfera e del Clima (ISAC)
Aerosol Flux in Arctic
aerosol flux (also size segregated)
Antonio Donateo - a.donateo@isac.cnr.it

ArcticDOC
Institute of Polar Sciences
DOC fractionation: dynamic of POPs and trace metals Arctic DOC
microorganic contaminants in sea water
nicoletta ademollo - nicoletta.ademollo@cnr.it

Aristotle_biological sampling
National Research Council of Italy - IAS
Arctic fish diversity: snapshots from Svalbard area
List of fish species and pertaining biologic information (size, weight, sex).
Laura Ghigliotti - laura.ghigliotti@cnr.it

ATMOS_CCT 2010-20_1
Institute of Atmospheric Sciences and Climate - ISAC
Arctic Present Climate Change and Past Extreme Events ( CCT -IP )
Vertical profile of turbulent fluxes are interlaced with conventional meterological paramaters measeured along the 34 m Climate Change Tower in Ny Alesund. Snow and surface charaterisitic and radiative balance are also monitored at the CCT
Angelo Pietro Viola - a.viola@isac.cnr.it

Bayelva chemical-physical monitoring
CNR-IGG
ISotopic and physical-chemical MOnitoring of GLACial drainages and sea water in the Ny-Ålesund area (Svalbard)
The dataset includes the continuous measurements (1 data/15 min) performed during summer season by a CTD diver.
Marco Doveri - doveri@igg.cnr.it

Bayelva monitoring
CNR-IGG
ISotopic and physical-chemical MOnitoring of GLACial drainages and and sea water in the Ny-Ålesund area
The dataset includes continuous measurements (1 each 15 min) performed during summer period by a CTD diver.
Marco Doveri - doveri@igg.cnr.it

Broggerdalen FSC
CNR-IIA
terrestrial Photography ApplicationS on Snow covEr in Svalbard
Evolution of the fractional snow cover in the Broggerdalen area using ground-based cameras located at the Climate Change Tower.
Roberto Salzano - roberto.salzano@cnr.it

Broggerdalen RGB
CNR-IIA
terrestrial Photography ApplicationS on Snow covEr in Svalbard
Evolution of the fractional snow cover in the Broggerdalen area using ground-based cameras located at the Climate Change Tower.
Roberto Salzano - roberto.salzano@cnr.it

CCT_DATA_2010
ISAC-CNR
Climate Change Tower Integrated Project
time series of temperaure, humidity, pressure, wind speed and direction, global radiation. Data refer to 12:00 UTC and are averaged over one day.
Angelo Pietro Viola - angelopietro.viola@cnr.it

CO2 and H2O fluxes_2019
CNR-IGG
OBSERVING EARTH CRITICAL ZONE PROCESSES IN THE BAYELVA BASIN
The dataset includes CO2/H2O daily average values and standard deviation. Each measurement day contains a number of half-hour measurements.
Antonello Provenzale - antonello.provenzale@cnr.it

CO2 fluxes, soil temperature and volumetric water content_2019
CNR-IGG
OBSERVING EARTH CRITICAL ZONE PROCESSES IN THE BAYELVA BASIN
Data represent the average values and the corresponding standard deviation obtained from each plots at different site along the transect CCT-airport. Each average value is obtained as a mean over a set of more than 20 point measures for each plot and each sampling date. Flux data are complemented by measurements of soil temperature and volumetric water content
Antonello Provenzale - antonello.provenzale@cnr.it

Core location
CNR-ISP
Climate-Cryosphere-Carbon interactions in Kongsfjorden, Svalbard
In summer 2017 two sediment cores were collected in the Kongsfjorden
Tommaso Tesi - tommaso.tesi@gmail.com

EEECosmicData
Università di Bari - Dipartimento di Fisica
EEE@NyAlesund
The Dataset contains flux of cosmic rays measured at different locations at Ny Alesund. Each cosmic ray event will be tagged in time using GPS. Cosmic rays data will be correlated with atmoshperic conditions, also contained in the dataset.
Marcello Abbrescia - marcello.abbrescia@uniba.it

FSCA_Brogger Pensinsula
CNR-IIA
Snow Core Data
Ensembled FSCA retrieval imagery obtained by terrestrial photography at the CCT and the Zeppelin observatory
Roberto Salzano - roberto.salzano@cnr.it

Geomorphological mapping
​Dipartimento di Ingegneria e Geologia, ​Università degli Studi
Holocene environmental change on Svalbard
--
Tommaso Piacentini - tommaso.piacentini@unich.it

Glacial drainage physical-chemical parameters_2015-2019 2015_01
CNR-IGG
ISotopic and physical-chemical MOnitoring of GLACial drainages and sea water in the Ny-Ålesund area (Svalbard)
The data are related to in-situ measurements of the physical-chemical parameters (temperature, electrical conductivity, pH, alkalinity), performed by portable device during summer period, starting from the higher sector of the glaciers, where the first meltwater is encountered, continuing towards the glaciers terminus, both laterally and centrally, and downstream, on the proglacial rivers, up to the sea.
Marco Doveri - doveri@igg.cnr.it

Ice_Structure_2015_1
Istituto Nazionale di Geofisica e Vulcanologia
Arctic Present Climate Change and Past Extreme Events
Analysis of RES datasets available. Production of thematic maps of representative ice-calving effect in some Greenland outlet glaciers. Development and upgrade of INGV RES system.
Stefano Urbini - stefano.urbini@ingv.it

IrradianceIR_2014_0203
Istituto Nazionale di Geofisica e Vulcanologia
Arctic Present Climate Change and Past Extreme Events
Measurements are obtained using a Pyrgeometer Kipp&Zonen, model CGR4, installed at Thule Air Base (220 m a.s.l.) in May 2013. The instrument sensitivity was determined during factory calibration for temperatures down to -40 °C, thus specifically suited for the polar environment. Data are acquired by a datalogger at 30 s time intervals and then transferred to a PC. The CGR4 and its dedicated PC are maintained by Daniela Meloni at ENEA.
Giovanni Muscari - giovanni.muscari@ingv.it

Isopond metadata
Sapienza University of Rome
ISOTOPIC CHARACTERISATION OF ARCTIC PONDS
Organic matter (expressed as ash fry dry matter) and N content as a percentage in soil and lake sediment
Edoardo Calizza - edoardo.calizza@uniroma1.it

Kongsfjorden physical-chemical parameters_2015-2018
CNR-IGG
ISotopic and physical-chemical MOnitoring of GLACial drainages and sea water in the Ny-Ålesund area (Svalbard)
The dataset includes vertical profiles of physical-chemical performed on-site in different sites along the fjord.
Marco Doveri - doveri@igg.cnr.it

Kongsfjorden TDIC_2018-2019
CNR-IGG
ARctic DISsolved CO2
The dataset includes the pH, temperature and salinity measured during summer period in selected site of the fjords. TDIC determination are also contained.
Matteo Lelli - m.lelli@igg.cnr.it

Kongsfjorden_CTD_profiles_2013
ISP CNR Bologna
FRESHWATER INPUT IN THE KONGSFJORDEN
The dataset consist of 48 water column profiles of pressure, temperature, salinity, fluorescence and turbidity located within the Kongsfjorden.
Stefano Miserocchi - stefano.miserocchi@cnr.it

Kongsfjorden_CTD_profiles_2014
ISP-CNR Bologna
FRESHWATER INPUT IN THE KONGSFJORDEN
The dataset consist of 42 water column profiles of pressure, temperature, salinity, fluorescence and turbidity located within the Kongsfjorden.
Stefano Miserocchi - stefano.miserocchi@cnr.it

Kongsfjorden_CTD_profiles_2015
ISP-CNR Bologna
FRESHWATER INPUT IN THE KONGSFJORDEN
The dataset consist of 82 water column profiles of pressure, temperature, salinity, fluorescence and turbidity mostly located on one the main transect along the fjord axis. The transect has been repeated 4 times.
Stefano Miserocchi - stefano.miserocchi@cnr.it

Kongsfjorden_CTD_profiles_2016
ISP-CNR Bologna
FRESHWATER INPUT IN THE KONGSFJORDEN
The dataset consist of 34 water column profiles of pressure, temperature, salinity, fluorescence and turbidity mostly located on one the main transect along the fjord axis.
Stefano Miserocchi - stefano.miserocchi@cnr.it

Kongsfjorden_CTD_profiles_2017
ISP-CNR Bologna
FRESHWATER INPUT IN THE KONGSFJORDEN
The dataset consist of 5 water column profiles of pressure, temperature, salinity, fluorescence and turbidity.
Stefano Miserocchi - stefano.miserocchi@cnr.it

Kongsfjorden_CTD_profiles_2018
ISP-CNR Bologna
FRESHWATER INPUT IN THE KONGSFJORDEN
The dataset consist of 41 water column profiles of pressure, temperature, salinity, fluorescence and turbidity.
Stefano Miserocchi - stefano.miserocchi@cnr.it

Kongsfjorden_CTD_profiles_2019
ISP-CNR Bologna
FRESHWATER INPUT IN THE KONGSFJORDEN
The dataset consist of 12 water column profiles of pressure, temperature, salinity, fluorescence and turbidity.
Stefano Miserocchi - stefano.miserocchi@cnr.it

Kongsfjorden_Krossfjorden_CTD_profiles_2020
ISP-CNR Bologna
FRESHWATER INPUT IN THE KONGSFJORDEN
The dataset consist of 29 water column profiles of pressure, temperature, salinity, oxygen and turbidity located in 3 different areas: Krossfjorden, kongsfjorden at one transect along the fjord axis, off Bayelva river area.
Stefano Miserocchi - stefano.miserocchi@cnr.it

Locomotor activity
Sapienza University of Rome
Locomotor activity
Locomotor activity in Lepidurus arcticus
Vittorio Pasquali - vittorio.pasquali@uniroma1.it

MDI_ADCPCURRENTMETERDATA_2017
ISP-CNR Bologna
FRESHWATER INPUT IN THE KONGSFJORDEN
Time series acquisition of ADCP current meter data at mooring station MDI Parameters: DATE/TIME DEPTH water, Depth, (m) Current velocity, east-west; UC, (cm/s) Current velocity, north-south; VC, (cm/s)
Stefano Miserocchi - stefano.miserocchi@cnr.it

MDI_CURRENTMETER_DATA_ AT35M_2010
ISP-CNR Bologna
FRESHWATER INPUT IN THE KONGSFJORDEN
Time series acquisition of current meter data at mooring station MDI. Parameters: DATE/TIME DEPTH water, Depth, (m) Current velocity, east-west; UC, (cm/s) Current velocity, north-south; VC, (cm/s) Temperature, water; Temp, (C)
Stefano Miserocchi - stefano.miserocchi@cnr.it

MDI_MARINE_PARTICLE_FLUXES_2010
ISP-CNR Bologna
FRESHWATER INPUT IN THE KONGSFJORDEN
Time series of marine particles fluxes and its compositions. Flux of total mass, TMF, (g m-2 day-1) Organic Carbon, OC, (per cent) Calcium carbonate,CaCO3, (per cent) Biogenic silica, Opal, (per cent) Lithogenic material, Litho, (per cent) Delta 13C, d13C, (per mil)
Stefano Miserocchi - stefano.miserocchi@cnr.it

MDI_TEMPERATURE_SALINITY_AT_85m_2010
ISP-CNR Bologna
FRESHWATER INPUT IN THE KONGSFJORDEN
Time series acquisition of temperature, salinity and pressure data with a CTD probe at mooring station MDI Parameters: DATE/TIME DEPTH water, Depth, (m) Temperature water, Temp 85m, (C) Salinity water, Sal 85m,
Stefano Miserocchi - stefano.miserocchi@cnr.it

MDI_WATER_TEMPERATURE_ AT54M_2012
ISP-CNR Bologna
FRESHWATER INPUT IN THE KONGSFJORDEN
Time series acquisition of water temperature at mooring station MDI Parameters: DATE/TIME Water Depth,(m) Temperature water,(C)
Stefano Miserocchi - stefano.miserocchi@cnr.it

MDI_WATER_TEMPERATURE_ AT62M_2013
ISP-CNR Bologna
FRESHWATER INPUT IN THE KONGSFJORDEN
Time series acquisition of Water temperature at mooring station MDI Parameters: DATE/TIME DEPTH water, Depth, (m) Temperature, water; Temp, (C)
Stefano Miserocchi - stefano.miserocchi@cnr.it

METADATA_INP_2018
ISAC-CNR
Ice Nuclei Particle Concentration
Ice nucleating particle concentration obtained in spring and summer campaigns.
Franco Belosi - f.belosi@isac.cnr.it

METADATA_INP_2019
Università di Firenze
Ice Nuclei Particle Concentration
INP concentration
Franco Belosi - f.belosi@isac.cnr.it

meteorological
Institute of Atmospheric Sciences and Climate - ISAC
Climate Change Tower-Integrated Project
Slow response measurements of Temperature, Wind speed Relative humidity at 2,5,10,34 m rnFast response measurements of wind,temperature,humidity at 3.7, 7,5 m rnRadiation budget and albedo at 34 m rnUpwelling radiation at 25 m rnTemperature profile and heat flux in snow layer rnSnow heightrnTemperature profile and heat flux in the ground
Angelo Pietro Viola - a.viola@isac.cnr.it

Metrology lab
Istituto Nazionale di Ricerca Metrologica
Arctic Metrology
Calibration of different kind of instruments and sensors. Dedicated calibration procedures. Documented traceability to SI standards. Field measurement uncertainty evaluations.
Angelo Viola - a.viola@isac.cnr.it

Nutrients, heavy metals & pH 2016 01
CNR IAS
COST-EFFECTIVE SENSORS, INTEROPERABLE WITH INTERNATIONAL EXISTING OCEAN OBSERVING SYSTEMS, TO MEET EU POLICIES REQUIREMENTS
Pressure, Strain Gauge [db]rnTemperature [IPTS-68, deg C]rnConductivity [mS/cm]rnpHrnOxygen, SBE 43 [ml/l]rnTurbidity, Turner Cyclops [NTU]
Alberto Ribotti - alberto.ribotti@cnr.it

Organic aerosol data
CNR-ISAC
ORganiC Aerosol Chemical characterization an Source Apportionment
A multi-technique analytical approach will be optimized for the characterization of the sampled organic aerosol. Organic matter (OM) and Organic Nitrogen (ON) characterization will be done using the techniques developed over the last years at CNR-ISAC. In particular, analytical techniques employed are based on nuclear magnetic resonance spectroscopy (NMR) and Aerosol Mass Spectrometry (HR-TOF-AMS applied off-line) for the OM characterization, C and N elemental analysis (CN-EA), ion chromatography (IC) for inorganic ions and alkyl-amines and HPLC-UV for speciation of different organic classes.
Marco Paglione - m.paglione@isac.cnr.it

OrganicAerosol data (AMS, NMR) - 2020
CNR-ISAC
ORganiC Aerosol Chemical characterization an Source Apportionment
-High-time resolution (5 min.) AMS measurements of non-refractory sulfate, nitrate, ammonium, chloride, and organic mass for the submicron atmospheric aerosol particles (NR-PM1). -Off-line filter-based spectroscopic characterization of the water-soluble organic mass in term of chemical functional groups and specific markers by means of proton-Nuclear Magnetic Resonance spectroscopy (H-NMR). -Source apportionment of organic aerosol by means of multivariate statistical techniques (namely Positive Matrix Factorization, PMF, and other factor analysis methods).
Marco Paglione - m.paglione@isac.cnr.it

Paleomagnetism_2015_001
Istituto Nazionale di Geofisica e Vulcanologia
Arctic Present Climate Change and Past Extreme Events
The data refer to rock magnetic and paleomagnetic measurements taken at a 1-cm spacing on u-channel samples collected from piston cores from the continental platform and slope of the NW Barents Sea. Measurements were carried out in the paleomagnetic laboratory of INGV in Rome, using a superconducting rock magnetometer installed in a magnetically shielded room. All the data collected are temporary saved into a local PC.
Patrizia Macri - patrzia.macri@ingv.it

photosynthesis_2013_1
CNR - IRET
Carbon flux and its isotopic signature in arctic regions under climate change
Light curve, CO2 curve and temperature curve for on Salix polaris, Saxifraga cespitosa, Dryas octopetala and Carex polaris
Emanuele Pallozzi - emanuele.pallozzi@cnr.it

POPs_2019_1
GUT - Gdansk University of Technology
SPATIAL VARIABILITY: VALIDATION DATASET ON POPS CONCENTRATIONS IN SNOW
No data available yet.
Alice Callegaro - alice.callegaro@unive.it

PrecipitableWaterVapor_2014_0203
Istituto Nazionale di Geofisica e Vulcanologia
Arctic Present Climate Change and Past Extreme Events
The column water vapor or Precipitable Water Vapor (PWV) is measured at Thule Air Base (76.5°N, 68.8°W), Greenland, by means of a ground-based millimeter-wave spectrometer (GBMS) installed at 220 m a.s.l. The GBMS observes rotational lines of atmospheric molecules emitting between 230 and 280 GHz, with a spectral pass band of 600 MHz. The PWV is calculated from direct measurements of atmospheric opacity (tau) at the indicated frequencies by using the linear relation PWV = a+tau*b, where a and b depend only on frequency. Measurements have a temporal resolution of 15 minutes and are carried out continuously when the GBMS is operated.
Giovanni Muscari - giovanni.muscari@ingv.it

PRIMA_2020_V1
CNR-ISP
Permafrost Release Into The Marine System In A Warming Arctic
Physical and chemical oceanography and vertical fluxes of sedimentary material from Mooring Aldo Pontremoli (MAP) and geochemical biomarker data from sediment core.
Tommaso Tesi - tommaso.tesi@cnr.it

Raw imagery
CNR-IIA
terrestrial Photography ApplicationS on Snow covEr in Svalbard
Time-lapse imagery obtained by a camera operating at the Climate Change Tower
Roberto Salzano - roberto.salzano@cnr.it

reflectance
cnr-iia
Continuous Vis-Near IR Characterization of snow-ice surface in Ny-Ålesund
-
roberto salzano - salzano@iia.cnr.it

Sat_FSCA_Hornsund
CNR-IIA
terrestrial Photography ApplicationS on Snow covEr in Svalbard
FSCA retrieval form satellite data at Hornsund
Roberto Salzano - roberto.salzano@cnr.it

Sat_FSCA_NyAlesund
CNR-IIA
terrestrial Photography ApplicationS on Snow covEr in Svalbard
FSCA retrieval from satellite data in the Ny Alesund area
Roberto Salzano - roberto.salzano@cnr.it

Scintillation and Rinex files from GALILEO, GPS, GLONASS - NyÅlesund
Istituto Nazionale di Geofisica e Vulcanologia
Ionospheric Scintillations Arctic Campaign Coordinated Observations (ISACCO)
The GNSS stations is a Septentrio PolaRxS receiver whose acquisition system is able to get signal from all the existent constellations: Galileo, GPS and Glonass. Data are in both raw binary and ASCII format. The binary files gather all the information contained in the signal, the ASCII files are the result of the receiver post-processing and are made up of phase, amplitude scintillations, and RINEX files.
Ingrid Hunstad - ingrid.hunstad@ingv.it

Scintillation and Rinex files from GALILEO, GPS, GLONASS,BEIDOU
Istituto Nazionale di Geofisica e Vulcanologia
Ionospheric Scintillation Arctic Campaign Coordinated Observations
Raw data files gather all the information contained in the signal, the ACII files are the result of the receiver post-processing and are made up of phase, amplitude scintillations, and RINEX files.
Ingrid Hunstad - ingrid.hunstad@ingv.it

Scintillation and Rinex from GPS - Adventdalen
Istituto Nazionale di Geofisica e Vulcanologia
Ionospheric Scintillations Arctic Campaign Coordinated Observations
-
Ingrid Hunstad - ingrid.hunstad@ingv.it

Scintillation and Rinex from GPS - NyÅlesund_0
Istituto Nazionale di Geofisica e Vulcanologia
Ionospheric Scintillations Arctic Campaign Coordinated Observations
The GNSS stations is a dual-frequency receiver. It gets data from all exstent constellations (GPS, Galileo, Glonass) both in raw binary and ASCII format. The binary files gather all the information contained in the signal, the ASCII files are the result of the receiver post-processing and are made up of phase, amplitude scintillations, and RINEX files.
Ingrid Hunstad - ingrid.hunstad@ingv.it

Scintillation and Rinex from GPS - NyÅlesund_1
Istituto Nazionale di Geofisica e Vulcanologia
Ionospheric Scintillations Arctic Campaign Coordinated Observations
The GNSS stations is a Novatel OEM4 dual-frequency receiver. It get data from the GPS constellation both in raw binary and ASCII format. The binary files gather all the information contained in the signal, the ASCII files are the result of the receiver post-processing and are made up of phase, amplitude scintillations, and RINEX files.
Ingrid Hunstad - ingrid.hunstad@ingv.it

Short and Long range source areas related to Climate Change
Institute for the Dynamics of Environmental Processes, IDPA-CNR
Monitoring of Aerosol: Short and Long range source areas related to Climate Change

Clara Turetta - clara.turetta@cnr.it

snowisotopes and chemistry-isotopes of Kongsfjorden water
CNR-IGG
ISotopic and physical-chemical MOnitoring of GLACial drainages and sea water in the Ny-Ålesund area (Svalbard)
dataset concerns water isotopes signature of snow and Kongsfjorden water and physical-chemical data of the latter
Marco Doveri - doveri@igg.cnr.it

Soil_respiration_2018_1
Institute of Agroenvironmental and Forest Biology - IBAF
Contribution of Vegetation and Soil components to Carbon cycle in Arctic environment in relationship to climate change
Species type, date, soil water content, soil EC, soil temperature, CO2 flux, coordinates
Emanuele Pallozzi - emanuele.pallozzi@cnr.it

Speleothems_Isotopes_2015_CD4.
Istituto Nazionale di Geofisica e Vulcanologia
Arctic Present Climate Change and Past Extreme Events
CD4 core was micromilled at 200 μm increments using a micro-milling method (Drysdale et al., 2012). The stable isotope composition of the powders was measured on CO2 gas released by reaction with 105% H3PO4 at 70°C, which was measured using a mass spectrometer at The University of Melbourne, Australia. Isotopic results are reported using the conventional δ-notation in per mille (‰), with reference to the Vienna Pee Dee Belemnite (V -PDB) standard.
Ilaria Isola - ilaria.isola@ingv.it

Svalbard time-lapse cameras
CNR-IIA
terrestrial Photography ApplicationS on Snow covEr in Svalbard
Collection of time-lapse cameras operating and discontinued in the Svalbard archipelago.
Roberto Salzano - roberto.salzano@cnr.it

TEC_Scintillation_Nyalesund
INGV
Ionospheric Scintillations Arctic Campaign Coordinated Observations
GNSS measurements for TEC and scintillation indeces determination.
Carlo Marcocci - carlo.marcocci@ingv.it

tephrochronology_2015_1
Istituto Nazionale di Geofisica e Vulcanologia
Arctic Present Climate Change and Past Extreme Events
Tephra are volcanic particles that can be used as chrono-stratigraphic tool for correlating sedimentary archives once they have been identified. With this aim, we have analysed marine sediments 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.
Paola Del Carlo - paola.delcarlo@ingv.it

underwateracoustics_2014_1
IAMC-CNR Capo Granitola Laboratorio Bioacustica
KUAM and CALVINGSEIS
underwater acoustic recording in the frequency band 8-96000 Hz in three sites of Kongsfjorden
Giuseppa Buscaino - giuseppa.buscaino@cnr.it

UV-Ozone_Brewer_2020_1
CNR-ISP
UltraViolet Irradiance Variability in Arctic
The Brewer#50 spectrophotometer was taken under responsibility of the CNR-ISAC, currently CNR-ISP team in 2017. In 2018 the instrument was calibrated by International Ozone Services Inc., Canada. In 2018 UV-RAD participated in the intercomparison campaign in the frame of UV-ICARE RiS project (https://www.researchinsvalbard.no/project/8626), which campaign was a first step to establishing a local Svalbard UV network. During the day Brewer measures the ozone column through direct sun, zenith sky and moon irradiance measurements, erythemal UV irradiance and solar UV spectrum from 295 to 363 nm with 0.5 nm spectral resolution. In addition the Umkehr measurements provide the vertical ozone distribution for the periods, when the solar zenith angle is between 85° and 90°. All these data from the period from 2017 (with diverse gaps in 2018 and 2019) are available under request.
Boyan Petkov - b.petkov@isac.cnr.it

UV-Ozone_UV-RAD_2020_1
CNR-ISP
UltraViolet Irradiance Variability in Arctic
The narrow-band filter radiometer UV-RAD (https://doi.org/10.1364/AO.45.004383) was developed at CNR-ISAC in collaboration with ENEA in 1999. The device measures the UV irradiance at seven channels each of them having around 1 nm full width at half maximum that allows the reconstruction of the solar UV spectrum (290-400 nm) with 1 nm resolution. Weighting this spectrum with erythemal action spectrum, the erythemal solar UV (UVE) radiation is estimated. Using the Stamnes method (https://doi.org/10.1364/AO.30.004418) the total ozone column is also retrieved from the UV-RAD data. The radiometer was calibrated in 2008 by comparing with another UV-RAD operating in Bologna, Italy, which had been previously calibrated. In 2009 the instrument participated in QASUME intercomparison campaign (https://doi.org/10.1039/b9pp00170k) taken place in Ny-Ålesund. In the next years the calibration quality was checked by comparing with other devises and model evaluations. From 2017 the calibration constants have been controlled by comparing with the Brewer#50 data each year. In 2018 UV-RAD participated in the intercomparison campaign in the frame of UV-ICARE RiS project (https://www.researchinsvalbard.no/project/8626), which campaign was a first step to establishing a local Svalbard UV network. The data from UV-RAD that contains the UV spectra, UVE, UV-B and UV-A integrated values together with the total ozone column, all provided with 5-minute time resolution are available under request.
Boyan Petkov - b.petkov@isac.cnr.it

Water column CTD profiles_2016_01
CNR-ISMAR
pH tipping point in Svalbard
62 water column profiles of pressure, Temperature, salinity, dissolved oxygen, turbidity
Carolina Cantoni - carolina.cantoni@ts.ismar.cnr.it

Water temperature
SAPIENZA University of Rome
Chronopolarxxxxxxxxx
Water temperature in surface and deep (3.0 meters)
Vittorio Pasquali - vittorio.pasquali@uniroma1.it

Zeppelin_FSC
CNR-IIA
terrestrial Photography ApplicationS on Snow covEr in Svalbard
Fractional snow cover derived by images provided by NPI using cameras operating at the Zeppelin Observatory
Roberto Salzano - roberto.salzano@cnr.it