This dataset includes all snowpit observations from N-ICE2015.

Zooplankton dataset over the Kongsfjorden to Fram Strait marine biological transect collected in connection with Environmental monitoring of Svalbard and Jan Mayen (http://www.mosj.no/en/) programme. The dataset covers summers 1996-2016 except for 1998 when summer samples were not taken. The dataset contains only zooplankton collected with the MultiNet plankton sampler. The results published in Hop et al. 2019 (see the "Citation Custom" field) are based on this exact dataset. Norwegian Polar Institute"s database will contain extended data based on this dataset, and any users post-2019 are encouraged to use the extended dataset instead. The dataset is compiled in three files: **kf_zooplankton_abundance_data** contains zooplankton abundance data in *individuals per cubic meter*. The columns of the dataset consists of species and stage codes specified in the species metadata, while the rows consist of samples indicate in the sample metadata **kf_zooplankton_sampling_meta** contains row metadata for zooplankton abundance. Columns: id = row name in zooplankton abundance data; expedition = expedition/cruise name; station = standard station name across the MOSJ transect; sample_name = internal sample name for backwards compatibility; region = region category used in Hop et al. 2019; longitude = longitude as decimal degrees (WGS84); latitude = latitude as decimal degrees (WGS84); date = date in yyyy-mm-dd format; from = depth in meters where the MultiNet opened ; to = depth in meters where the MultiNet closed; comment = specific comments concerning the sample. **kf_zooplankton_species_meta** contains column metadata for zooplankton abundance. Columns: id = column name in zooplankton abundance data; species = scientific taxa name; stage = life stage; length = length group; origin = the assumed origin of species (Atlantic, Arctic, Both or Unknown); taxa = used for grouping of species data based on taxonomy in Hop et al. 2019; biomass_conv = abundance to biomass conversion factor, see Hop et al. 2019.

Sodar; Horizontal wind speed & direction, vertical wind speed, and standard deviation of vertical velocity

Methane (CH4) flux from eddy covariance system

The dataset PPARA.data contains following parameters -experiment and plate number - solvent used - name of the receptor the cells were transfected with - name of the species for receptor the cells were transfected with - test/control compound name - test/control concentration (uM) - luciferase activities, measured as luminescence, corrected for differences in transfection efficiencies by normalized β-galactosidase activities (A420 nm) for test compounds - luciferase activities, measured as luminescence, corrected for differences in transfection efficiencies by normalized β-galactosidase activities (A420 nm) for solvent controls (average per plate) - percentage of solvent used The dataset viability.data contains following parameters -experiment and plate number - test used - test compound concentration (uM) - fluoresence for test compounds - fluoresence for solvent (average per plate)

Upwelling and downwelling longwave and shortwave radiation and shortwave albedo from station deployed out on the ice floe, nearby surface meteorology observations.

All available snow depth measurements with Magnaprobe.

The phytoplankton and ice-algae dataset contains counts of algae performed in an Imaging Flow Cytobot (IFCB) and in an inverted microscope. The counts were performed after the cruise using fixed samples collected from the sea ice and the water column.

This data set contains spectral shortwave radiation data (incident, reflected and transmitted) from two different sites: time-series from a fixed site on Floe 3 and 4, so called "supersite", and from point measurements from a "refrozen lead" during drift of Floe 3. #### Supersite Downwelling and upwelling spectral SW radiation above and below ice, spectral SW albedo and transmittance, at one location on Floe 3 and 4. Measured with Ramses ACC-VIS radiometers (350-900 nm) and processed to 15 min averages. Dataset contains one file for Floe 3 (incident, reflected and transmitted (right below ice)) and one for Floe 4 (incident, reflected, transmitted (right below ice) and transmitted at 10 m depth in the water) in Netcdf format. In both cases installed at a location with thick snow and ice, for respective Floe. To keep the sites undisturbed for the period of measurement no information on snow or ice thickness exist beyond the time of deployment. Initial conditions. Floe 3: snow depth 40 cm, ice thickness 130 cm. Floe 4: snow depth 15-20 cm, ice thickness 120 cm. #### Refrozen lead Incident and transmitted spectral irradiance from transects on a refrozen lead. Sensors: Trios RAMSES ACC-VIS Wavelength range: 320-900nm NOTE! Do not fully trust data for wavelengths below 350nm, the sensors are less accurate here. Dataset has one file for measurements conducted with snow cover intact, and for some dates measurements were also made after snow had been removed (bareice). - RefrozenLead_bareice_Trios-1.6.nc - RefrozenLead_Trios-1.6.nc #### Groups The transect consisted of five repeated locations across a refrozen lead next to R/V Lance. The groups in the files are called p1 through p5, where p1 is the location closest to Lance, and p5 is farthest away from Lance. The transect was repeated 11 times between 12 May and 3 June 2015.(See [Kauko et al. 2017](https://doi.org/10.1002/2016JG003626)) Variables - wl: Wavelength [nm] - inc: Incident irradiance [W m^(-2) nm^(-1)] - trans: Transmitted irradiance [W m^(-2) nm^(-1)] - time: Time in UTC (N x 6 matrix, columns are year, month, day, hour, minute, second) - lat, lon: Position of Lance (i.e. not exact position of measurement) - expday: Julian day of 2015 when transect was sampled Processing Spectra where the tilt of the under-ice sensor was >5 degrees along either x- or y-axes have been discarded.

The Sea Bird Colony Database contains current and historical data for all known seabird colonies in Svalbard and around the Barents Sea, including total counts, surveillance data, photographic documentation and references. The database is owned and annually maintained by the Norwegian Polar Institute in partnership with seven Russian institutions.