The Sentinel-1 and Sentinel-2 Snow Phenology (SP S1+S2) product is generated once a year over high-mountain areas at European scale, based on daily cumulative Gap-Filled Fractional Snow Cover (GFSC) products calculated from Sentinel-2 optical and Sentinel-1 radar data. This product describes the snow season in terms of temporality as it provides, for each pixel, the number of days with snow cover, as well as the first and the last day of the longest observed snow period. It has a spatial resolution of 100 m x 100 m. Each product is composed of separate files corresponding to the different layers of the product, and another metadata file. The product is also available in another projection as tiles aligned with Sentinel-2 (UTM/WGS84) at 60 m x 60 m. SP S1+S2 is one of the products of the pan-European High-Resolution Water Snow & Ice portfolio (HR-WSI), which are provided at high spatial resolution from the Sentinel-2 and Sentinel-1 constellations data from September 1, 2016 onwards. t.

The High Resolution Layer Cropping Patterns - Secondary Crop Emergence (CPSCE) raster product provides the date of emergence of the cover crop in days of the year (DOY). YYDOY where YY = last 2 digits of the year (e.g. 19 for 2019) and DOY is the day of the year (1-365) This dataset is provided annually starting in 2017 with 10 meter rasters (fully conformant with the EEA reference grid) in 100 x 100 km tiles covering the EEA38 countries. High Resolution Layer Croplands product is part of the European Union’s Copernicus Land Monitoring Service. Confidence layer available for the dataset. This dataset includes data from the French Overseas Territories (DOMs)

EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, acidity and contaminants. The chemicals chosen reflect importance to the Marine Strategy Framework Directive (MSFD). This aggregated dataset contains all unrestricted EMODnet Chemistry data on Eutrophication and Acidity (14 parameters with quality flag indicators), and covers the Norwegian Sea, Barents Sea, Greenland Sea and Icelandic Waters with 220031 CDI stations. Data were aggregated and quality controlled by 'Institute of Marine Research - Norwegian Marine Data Centre (NMD)'. Regional datasets concerning eutrophication and acidity are automatically harvested and resulting collections are aggregated and quality controlled using ODV Software and following a common methodology for all Sea Regions ( https://doi.org/10.6092/9f75ad8a-ca32-4a72-bf69-167119b2cc12 ). When not present in original data, Water body nitrate plus nitrite was calculated by summing up the Nitrates and Nitrites. Same procedure was applied for Water body dissolved inorganic nitrogen (DIN) which was calculated by summing up the Nitrates, Nitrites and Ammonium. Parameter names are based on P35, EMODnet Chemistry aggregated parameter names vocabulary, which is available at: https://www.bodc.ac.uk/resources/vocabularies/vocabulary_search/P35/ Detailed documentation is available at: https://doi.org/10.6092/ec8207ef-ed81-4ee5-bf48-e26ff16bf02e The aggregated dataset can be downloaded as ODV spreadsheet, which is composed of metadata header followed by tab separated values. This worksheet can be imported to ODV Software for visualisation (More information can be found at: https://www.seadatanet.org/Software/ODV ) The original datasets can be searched and downloaded from EMODnet Chemistry Download Service: https://emodnet-chemistry.maris.nl/search

This datasets contributes to a better understanding of diversity in small peracarid crustacean and their possible distribution patterns in remote deep-sea regions. It contains specimen ocurrence records of the taxon Cumacea sampled with diverse benthic gears (epibenthic sledges, box corer) on the Yermak Plateau north of Svalbard during the PASCAL project with RV Polarstern in 2017 and during the IceAGE expedition IceAGE1 in 2011 in deep sea regions of the Nordic GIN-Seas (Greenland, Iceland and Norwegian Sea). The specimens investigated on morphological and molecular basis in this study were sampled in the course of different projects: The IceAGE program (Icelandic marine Animals: Genetics and Ecology, Brix et al. 2014a) is an ongoing research project (IceAGE 2 in 2013, IceAGE-RR in 2018, IceAGE 3 in 2020) which was established as a follow up of the very successful BIOFAR (Biology of the Faroe Islands, Nørrevang et al. 1994; Gerken and Watling 1999) and BIOICE (Benthic Invertebrates of Icelandic waters, Omarsdottir et al. 2013) projects. It is aimed to develop into a long-term study to get an overview of the biodiversity in this extremely diverse region around Iceland with a variety of different habitats and environmental challenges in its adjacent waters. Based on genetic and morphological diversity, it aims to create an inventory of the fauna as elementary knowledge for a comprehensive understanding of possible responses to changing climate conditions in marine environments (Brix et al. 2014a). The focus of the expedition PS106/1 (ARK-XXXI/1.1, 24th of May – 21st of June, 2017) off northern Svalbard onboard the RV Polarstern in course of PASCAL (Physical feedbacks of Arctic PBL, Sea ice, Cloud and Aerosol) was an interdisciplinary approach for studying the interaction of different Arctic feedback mechanisms based on atmospheric, oceanographic, physical and biological studies (Macke and Flores 2018). In this context the vessel was attached to an ice floe during a two-week passive drifting according to the ocean’s current as a preliminary trial-expedition to the first year-round MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) expedition (Sep/2019 – Sep/2020).

Moving 6-year analysis of Water body dissolved oxygen concentration in the Arctic Ocean, for each season in the period 1965-2017. Every year of the time dimension corresponds to the 6-year centered average for each season. Winter: December-February, Spring: March-May, Summer: June-August, Autumn: September-November. Depth range (IODE standard depths): 0, 5, 10, 20, 30, 40, 50, 75, 100, 125, 150, 200, 250, 300, 400, ..., 1500, 1750, 2000, 2500m. Units: umol/l. Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.6.6, using GEBCO 30sec topography for the spatial connectivity of water masses. The horizontal resolution of the produced DIVAnd maps grids is 0.1 degrees. Signal-to-noise ratio was fixed to 2.0, horizontal correlation length to 100 km, and vertical correlation length varying between 25 and 200 m. Logarithmic transformation is applied to the data prior to the analysis. Background field: the data mean value is subtracted from the data.

Water body chlorophyll-a - Monthly Climatology for the European Seas for the period 1960-2020 on the domain from longitude -45.0 to 70.0 degrees East and latitude 24.0 to 83.0 degrees North. Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network. Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.2, using GEBCO 30sec topography for the spatial connectivity of water masses. Horizontal correlation length and vertical correlation length vary spatially depending on the topography and domain. Depth range: 0.0, 5.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 55.0, 60.0, 65.0, 70.0, 75.0, 80.0, 85.0, 90.0, 95.0, 100.0, 125.0, 150.0, 175.0, 200.0, 225.0, 250.0, 275.0, 300.0, 325.0, 350.0, 375.0, 400.0, 425.0, 450.0, 475.0, 500.0, 550.0, 600.0, 650.0, 700.0, 750.0, 800.0, 850.0, 900.0, 950.0, 1000.0, 1050.0, 1100.0, 1150.0, 1200.0, 1250.0, 1300.0, 1350.0, 1400.0, 1450.0, 1500.0, 1550.0, 1600.0, 1650.0, 1700.0, 1750.0, 1800.0, 1850.0, 1900.0, 1950.0, 2000.0, 2100.0, 2200.0, 2300.0, 2400.0, 2500.0, 2600.0, 2700.0, 2800.0, 2900.0, 3000.0, 3100.0, 3200.0, 3300.0, 3400.0, 3500.0, 3600.0, 3700.0, 3800.0, 3900.0, 4000.0, 4100.0, 4200.0, 4300.0, 4400.0, 4500.0, 4600.0, 4700.0, 4800.0, 4900.0, 5000.0, 5100.0, 5200.0, 5300.0, 5400.0, 5500.0 m. Units: mg/m3. The horizontal resolution of the produced DIVAnd analysis is 0.25 degrees.

Locations and associated attributes of circumpolar Muskox studies. Attributes include animal count, population estimate, estimate error and associated report citation.

This dataset is included the following parameters: water temperature, salinity,air temperature,visibility (code). Research vessel:"Mikhail Somov".

This dataset contains Amphipod distribution records and is based on literature from the years 1931 to 2018. The data were collected during a variety of cruises and sampling events while the majority was obtained during the Danish Ingolf expedition. Sampling events took place in the North Atlantic and Arctic waters which included the Artic Ocean, Barents Sea, Kara Sea, Labrador Sea, Buffin Bay and Greenland Sea. Amphipods were predominantly collected using dredges, epibenthic sledges and remotely operated vehicles but scuba divers and vehicle-free baited traps were also used. This way, over 1566 Amphipod samples were collected in total which include 45 families, 117 genera and 164 species.

The pan-European High Resolution (HR) Image Mosaic 2006 provides HR2 (High Resolution: 20 meter) coverage over Europe. The surface covered by the image dataset is 5.8 million square kilometres and has a spatial resolution of 20 meters. The imagery is composed during specific acquisition windows between 2005 and 2007. Images are derived from the following satellite sensors: Resourcesat-1 SPOT-4/-5 The mosaic primarily is used as input data in the production of various Copernicus Land Monitoring Service (CLMS) datasets and services, such as land cover maps and high resolution layers on land cover characteristic and can be also useful for CLMS users for visualizations and classifications on land. The input imagery for the creation of the mosaic is provided by ESA. Due to license restrictions, HR Image Mosaic 2006 is only available as a web service (WMS), and not for data download.