The aim of this study was to collect and synthesize existing pteropod (Gymnosomata, Thecosomata and Pseudothecosomata) abundance and biomass data, in order to evaluate the global distribution of pteropod carbon biomass, with a particular emphasis on its seasonal, temporal and vertical patterns. Pteropods are a group of holoplanktonic gastropods for which global biomass distribution patterns remain poorly resolved. The aim of this study was to collect and synthesize existing pteropod (Gymnosomata, Thecosomata and Pseudothecosomata) abundance and biomass data, in order to evaluate the global distribution of pteropod carbon biomass, with a particular emphasis on its seasonal, temporal and vertical patterns. We collected 25 902 data points from several online databases and a number of scientific articles. The biomass data has been gridded onto a 360 x 180° grid, with a vertical resolution of 33 WOA depth levels. Data has been converted to NetCDF format. Data were collected between 1951-2010, with sampling depths ranging from 0-1000 m. Pteropod biomass data was either extracted directly or derived through converting abundance to biomass with pteropod specific length to weight conversions. In the Northern Hemisphere (NH) the data were distributed evenly throughout the year, whereas sampling in the Southern Hemisphere was biased towards the austral summer months. 86% of all biomass values were located in the NH, most (42%) within the latitudinal band of 30-50° N. The range of global biomass values spanned over three orders of magnitude, with a mean and median biomass concentration of 8.2 mg C l-1 (SD = 61.4) and 0.25 mg C l-1, respectively for all data points, and with a mean of 9.1 mg C l-1 (SD = 64.8) and a median of 0.25 mg C l-1 for non-zero biomass values. The highest mean and median biomass concentrations were located in the NH between 40-50° S (mean biomass: 68.8 mg C l-1 (SD = 213.4) median biomass: 2.5 mg C l-1) while, in the SH, they were within the 70-80° S latitudinal band (mean: 10.5 mg C l-1 (SD = 38.8) and median: 0.2 mg C l-1). Biomass values were lowest in the equatorial regions. A broad range of biomass concentrations was observed at all depths, with the biomass peak located in the surface layer (0-25 m) and values generally decreasing with depth. However, biomass peaks were located at different depths in different ocean basins: 0-25 m depth in the N Atlantic, 50-100 m in the Pacific, 100-200 m in the Arctic, 200-500 m in the Brazilian region and >500 m in the Indo-Pacific region. Biomass in the NH was relatively invariant over the seasonal cycle, but more seasonally variable in the SH. The collected database provides a valuable tool for modellers for the study of ecosystem processes and global biogeochemical cycles. This dataset is part of the MARine Ecosystem Model Intercomparison Project (MAREMIP).

This metadata covers the Ice Cover Duration (ICD) product is generated once a year and it provides an estimated number of ice covered days for each pixel in the inland waters at European scale. The product is derived from Water/Ice Cover (WIC) products, both from Sentinel-1 and Sentinel-2 observations. It has a spatial resolution of 20 m x 20 m. It is also available in another projection as tiles aligned with the Pan-European High-Resolution Layers in the European 20 m x 20 m grid (ETRS89 LAEA - EPSG: 3035). ICD 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.

This is the metadata covering the Water Layer (WL) product. The WL 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.. The WL is generated for the 2021 & 2024 reference year. It is a a multi-annual product based on the information covering the period (e.g. 2016-2021). In the context of the HR-WSI, the water and dry frequency masks are derived from intermediate outputs of the WCD workflow, the monthly surface water masks in combination with the WIC S2 NRT product. It provides detailed information about the presence and condition of water surfaces across Europe. There are 5 major classes like: - Dry (always or mostly dry with minor instances of wet) - permanent water (always contains water) - temporary water ( temporary water surfaces, aliteration of dry and water) - sea water (oceans and sea) - clouds It is also generated in different spatial resolutions (10m and 100m) and projections (LAEA & WGS84/UTM). The High Resolution Water Layer portfolio consists of the WL, the Water Presence Index (WPI), the Water confidence layer (WCL) and the Rolling archive (WLRA). The WL is provided in a package (zip) containing the WL, the WPI and the WCL: The WCL is displaying a measure of confidence between 0 and 100%. It identifies the likelihood of (in)correctness on pixel level based on information gained during production for the WL for the respective reference year. It is also generated in different spatial resolutions (10m and 100m) and projections (LAEA & WGS84/UTM). The Water Presence Index (WPI) product 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. The High Resolution Water Layer portfolio consists of the Water Layer (WL), the Water Presence Index (WPI), the Water confidence layer (WCL) and the Rolling archive (WLRA). The WPI is generated for the 2021 reference year. It is a a multi-annual product based on the information covering a7-year period (e.g. 2016-2021). In the context of the HR-WSI, the water and dry frequency masks are derived from intermediate outputs of the WCD workflow, the monthly surface water masks in combination with the WIC S2 NRT product. It provides detailed information about the presence and condition of water surfaces across Europe. It is also generated in different spatial resolutions (10m and 100m) and projections (LAEA & WGS84/UTM).

Samples of the macrobenthic fauna of soft sediments were collected from around Svalbard during the 1991 Arctic EPOS cruise of RVPolarstern Although faunal variability could be related to sediment granulometry and depth, all stations to the south and east of the Archipelago lay within the broadly defined central Barents Sea community. In this community, (alfa-diversity was variable and sampled between 77 and 337 m showed no clear relationship to depth. Diversity in the area close to the polar front was notably high, rarefaction predicting that 43 ± 5.5 species might occur in a sample of 201 individuals. k-Dominance plots suggested that muddy sand communities around Sval- bard were no less diverse than similar assemblages in the North Sea.

Urban Atlas Building Block Height 2021 is a 10 m high resolution raster layer containing height information generated for selected cities and urban areas as part of the Urban atlas suite of products. Height information is based on satellite information and derived datasets like the digital surface model, the digital terrain model and the normalized digital surface model (DSM).

EMODnet Chemistry aims to provide access to marine chemistry datasets and derived data products concerning eutrophication, acidity and contaminants. The importance of the selected substances and other parameters relates to the Marine Strategy Framework Directive (MSFD). This aggregated dataset contains all unrestricted EMODnet Chemistry data on eutrophication and acidity, and covers the Norwegian Sea, Barents Sea, Greenland Sea and Icelandic Waters. Data were aggregated and quality controlled by the 'Institute of Marine Research - Norwegian Marine Data Centre (NMD)' in Norway. ITS-90 water temperature and water body salinity variables have also been included ('as are') to complete the eutrophication and acidity data. If you use these variables for calculations, please refer to SeaDataNet for the quality flags: https://www.seadatanet.org/Products/Aggregated-datasets . Regional datasets concerning eutrophication and acidity are automatically harvested, and the resulting collections are aggregated and quality controlled using ODV Software and following a common methodology for all sea regions ( https://doi.org/10.13120/8xm0-5m67 ). Parameter names are based on P35 vocabulary, which relates to EMODnet Chemistry aggregated parameter names and is available at: https://vocab.nerc.ac.uk/search_nvs/P35/ . When not present in original data, water body nitrate plus nitrite was calculated by summing all nitrate and nitrite parameters. The same procedure was applied for water body dissolved inorganic nitrogen (DIN), which was calculated by summing all nitrate, nitrite, and ammonium parameters. Concentrations per unit mass were converted to a unit volume using a constant density of 1.025 kg/L. The aggregated dataset can also be downloaded as an ODV collection and spreadsheet, which is composed of a metadata header followed by tab separated values. This spreadsheet can be imported to ODV Software for visualisation (more information can be found at: https://www.seadatanet.org/Software/ODV ).

This dataset is associated with the publication by Nicole Couto, Jennifer MacKinnon, Harper Simmons, and Matthew Alford, "Near-bottom baroclinic and submesoscale instability at the Chukchi shelfbreak." Four FastCTD sections and one Modular Microstructure Profiler (MMP) were collected crossing the Chukchi shelf break in September 2018 from the R/V Sikuliaq. Current velocities were measured simultaneously from two hull-mounted ADCPS: an RDI Workhorse 300 kHz and an RDI Ocean Surveyor 75 kHz. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

The Imperviousness Change Classified (IMCC) 2021-2024 layer is part of the High Resolution Layer (HRL) Imperviousness and provides categorical information on the imperviousness change per pixel between reference years 2021 and 2024 as derived from re-classification of the Imperviousness Density Change (IMDC) 2021–2024 layer. The production of the HRL Imperviousness is coordinated by EEA in the frame of Copernicus, the Earth observation component of the European Union’s Space programme. The product is a raster dataset with 20-meter grid spacing (spatial resolution) that covers the 38 Eionet member and cooperating countries as well as the United Kingdom (i.e. EEA38+UK). It is distributed as 100 x 100 km tiles that are fully conformant with the EEA reference grid.

Running 6-year analysis of Water body phosphate in the Baltic Sea. Four seasons (March-May, June-August, September-November, December-February). Every year of the time dimension corresponds to a 6-year centred average. Periods span between 1975-2021. Analyses for depths (m) (HELCOM standard depths): 0, 5, 10, 15, 20, 30, 40, 50, 60, 70, 80, 90, 100, 125, 150, 175, 200, 225, 250, 275, 300. Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network. Description of DIVA analysis: Geostatistical data analysis by DIVAnd (Data-Interpolating Variational Analysis in n dimensions) tool. GEBCO_08 Grid (30 arc-seconds) topography is used for the contouring preparation. Files contain analysed fields, error fields and combined field with the deepest value for each grid point selected. Also pre-masked fields using relative error threshold 0.3 and 0.5 are included. In the analyses the horizontal correlation length is fixed to 80 km and decreasing towards the coastline, the vertical correlation length is varying with depth. Signal to noise ratio is fixed to 1.0. Background fields were created using data for the given time period and season. Log transformation was used in the analyses. No detrending, advection constraints or weighting are applied. Unit is umol/l.

Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales. Original provider: Happywhale Dataset credits: Happywhale and contributorsSightings and images were submitted to Happywhale by contributors. A portion of the Happywhale data were transferred to OBIS-SEAMAP upon the agreement between Happywhale and OBIS-SEAMAP. There may be duplicate records among Happywhale datasets and other OBIS-SEAMAP datasets. The precision of date/time vary per record. Some records have date accuracy up to year only. This dataset includes sightings and photos from the following 280 contributors in alphabetic order: adam maire; Adelie Xiaohang Li; Adrian Neubert; Alexandre Lhériau; Alex Sinclair Lack; Alicia; Allan Finney; Allied Whale North Atlantic Humpback Whale Catalog; Allison Chen; Ana; Andrew Newlun; Andrew Stewart; Andy Rose; Angela Bowler; ANGEL SOLE; Anja Robanke; Anke Kugelstadt; Anna Astafurova; Annette Bombosch; AnninaS; Antoine Viot; Audrey Stephens; Austin Wyatt; Avner Chen; Babsi Neubarth; Barbara Anne Brandon; Beatriz Benares; Benoit Nabholz; B. Noordermeer; Bonnie Gretz; Borbala; Boyd Taylor; brad siviour; Calle Schönning; Camilo Rada; Carlos Rincon; Caroline Hodgkiss; Cassandra Ruiz; Cees Tineke; Charles Lavin; Charlotte Taplin; Chris Croxson; Christian Engelke; Christian Thrane; Christoph Fritz; Chrys Tremththanmor; Conor Ryan; Dani Abras; Daniel Stevens; Danilo Foresti; DarrenJew; Dave Matlin; David Bradley; David German; Dennis Boon; Devienne Gilles; Dimitri Vitkin; Dirk van Zandwijk; Dmitrii Kiselev; Domininc Barrington; Doug Gould; Eckhard; Eden Zang; Eivind Aksnes; Elaine Purnell; Elie Vannier; Eliott Lehoux; Elísabet Ýr Guðjónsdóttir; Elke; Ellen Klein; Elodie; emma; Emma Luck; Emma Neave-Webb; Emmanuelle Peyredieu; Enrico Hoefer; Eric Clark; Eric ROURE; Erin Sneider; Eugene Saxentoff; Eyd M. Grønadal; Fabian Schmalzried; Fabio; Familia Sanchez Planell; Fanny; Federico Arribere; Florentine Guinot; françois; Frank J.; Fredrik Broms; Gabriel Lett Viviani; gaidet; Gail Cousins; Garry Bray; Geffen family; Geir Hareide Hansen; Ghada; GordieBryce; Gordon Riddell; Greta Henderson; Hanna Michel; hannes heylen; Hans Verdaat; Harold Moses; Hazel Pittwood; Heidi Krajewsky; Henk Kamstra; Herman Sips; Herve Sibert; Husavik Research Centre; Ian Gordon; Irati Maruri; Isabella Clegg; James F C Hyde IV; Jamie Coleman; Jan Kajzar; Javier Cotin; Javier Solis; Jeff Reynolds; Jenifer; Jérôme JACOB; Jim Wilson; Joe Arceneaux; Joel Moore; John Mina; Jonas Astrup; Jonathan Rempel; joost vaeyens; Josef Wolf; Joy Martinello; Joy van der Beek; Judith Scott; Judit Roch; Julia Jayne; Juliane Schlei; Julia Yr Thorvaldsdottir; Julie Skyte; karen McMullen; Kate Sauvain; Kate Weston; Katrin Schmidt; Kayla Spencer; Ken Jensen; Ken Wells; Kerstin Langenberger; Kevin; Kirsten MacTaggart; Kit Kovacs; Konstantinos Kafritsas; Kurt Methfessel; LAMBIN Jean-Marc; Lars Maltha Rasmussen; Laura; Laurence Fischer; Laurens; Laurie Horsfall; Leendert; Lena Nicola; Lene Zachariassen; Leslie Stueben-Trumphour; Lisa Hildebrand; Loes de Heus; Maëva Accart; Manfred Moormann; Marc Gose; MARC SELLERS; Marcus Bergström; Margrét Ósk Elíasdóttir; Marian Herz; Marijke Nita de Boer; Marika Marnela; Marilia Olio; Marion JONCHERES; Marjolein Meijdam; Mark Harris; Marley Watkins; Martine; Martin Kemper; Mary Keenan; Matt McDermit; Max Schweiger; Menno Schaefer; Michael Scott; Michael Sterling; Michel Pierfitte; Mick Peerdeman; Mona Beate Wendelborg; Mona Wong; Mouser Williams; MS Fram; MS Maud; MS Otto Sverdrup; MS Spitsbergen; Nacho Oria; Nadine Hunziker; Natascha; Niklas Astrom; Nils; NOAA National Marine Mammal Laboratory (NMML); Ocean Missions; Olaf Pignataro; Olivier Blaud; Pascal Mauerhofer; Patrick Ruf; Patrick Scherer; Pat Sanders; Pauline van Monsjou; Paul Soulby; Per Nikolaj Bukh; Per Olsson; Petra Glardon; Petr Petrik; Philippe Jeanty; Pim Wolf; Pupanoid; Queloz; Rachael Barber; Radovan Sutora; Rafael Martins; Raina Burke; Rand Rudland; Rebecca Malkewicz; Richard Allan; Richard Lovelock; Richard Walker; Richard White; Rob Gons; Rodrigo A. Martinez Catalan; Rod White; Romane R; Rosa M. Coronas; Russian Cetacean Habitat Project; Ruud; Sabine Griesser; Sais Céline; Samantha Wormley; Sandra Zijlstra; Sea Fever Productions; Shannon; Shantala Wentink; Sheila Miller; S. Helgu; Siairra Tharp; Simon Smith; Slater T Moore; Sophie Carr; Soyer; Stacey Colebaugh; Steffen G.; Steffen Oehme; Steffo Polar; Stephan Uhlemann; Stephen King; Steve Jones; Steven dos-Remedios; Steve Willetts; Susan Smith; suse; Tanja; Ted Creek; Teresa Blase; Therese Horntrich; Thomas Podesta; Tiffany Fare; Tim Wright; Tobias Brehm; Tobias Paul; Tony Littler; Tressarieu; Tudor Morgan; Ursula Brändle; Vicki Beaver; Virgil Reglioni; Vladimir Burkanov; Whale Wise; Wilfried Schnessl; Wouter Verwee; Years of the North Atlantic Humpback whale (YoNAH); Yuri Choufour; Yves Roumazeilles