This represents data on Benthic fauna, Food webs and the littoral zone from the Polish Academy of Sciences; Institute of Oceanology, taken between 1981 - 1985 from 60 stations annually investigated during summer.

<p>The data on observation of white whales (-lt;i-gt;Delphinapterus leucas-lt;/i-gt;) during the planned sailing of the research scientific ship "Mikhail Somov" (Arkhangelsk–Wrangel Island–Arkhangelsk) from September 6 to December 6 2010 are presented. The results obtained confirm and correct the existing ideas of the distribution of white whales and directions of their migrations in seas of the Russian Arctic.-nbsp;</p>

<p>Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.-nbsp;</p>

The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.

<p>Abstract: Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.-nbsp;</p>

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).

Energy class layer produced by EMODnet Seabed Habitats as an input layer for the 2019 EUSeaMap broad-scale habitat model. The extent of the mapped area includes the Baltic Sea, and areas of the North Eastern Atlantic and Arctic extending from the Canary Islands in the south to Norway in the North. The map of energy classes was produced using underlying wave and current data and thresholds derived from statistical analyses or expert judgement on known conditions. Detailed information on the modelling process for the 2016 is found in the EMODnet Seabed Habitats technical report and its appendices (Populus et al, 2017, link in Resources). We are working on an updated report for the 2019 version.

ARCOD is the acronym for the data rescue project Archive of Ocean Data, former Arctic Ocean Sediment Data. The projects aim is to make data evailable in electronic, machine-readable form which are available in Russian archives and literature. The project is carried out since 2003 by Dr. Evgeny Gurvich.

<p>Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.-nbsp;</p>

The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012, 2015 and 2018 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015, 2015-2018 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.