We present the first digital seafloor geomorphic features map (GSFM) of the global ocean. The GSFM includes 131,192 separate polygons in 29 geomorphic feature categories, used here to assess differences between passive and active continental margins as well as between 8 major ocean regions (the Arctic, Indian, North Atlantic, North Pacific, South Atlantic, South Pacific and the Southern Oceans and the Mediterranean and Black Seas). The GSFM provides quantitative assessments of differences between passive and active margins: continental shelf width of passive margins (88 km) is nearly three times that of active margins (31 km); the average width of active slopes (36 km) is less than the average width of passive margin slopes (46 km); active margin slopes contain an area of 3.4 million km2 where the gradient exceeds 5°, compared with 1.3 million km2 on passive margin slopes; the continental rise covers 27 million km2 adjacent to passive margins and less than 2.3 million km2 adjacent to active margins. Examples of specific applications of the GSFM are presented to show that: 1) larger rift valley segments are generally associated with slow-spreading rates and smaller rift valley segments are associated with fast spreading; 2) polar submarine canyons are twice the average size of non-polar canyons and abyssal polar regions exhibit lower seafloor roughness than non-polar regions, expressed as spatially extensive fan, rise and abyssal plain sediment deposits – all of which are attributed here to the effects of continental glaciations; and 3) recognition of seamounts as a separate category of feature from ridges results in a lower estimate of seamount number compared with estimates of previous workers. Reference: Harris PT, Macmillan-Lawler M, Rupp J, Baker EK Geomorphology of the oceans. Marine Geology.

Norwegian Download service for INSPIRE Sea Regions.

<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>

<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>

<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>

This dataset was compiled to describe the intertidal meiobenthic community of Kongsfjorden and to better understand the relationship between the horizontal and vertical distribution of meiofauna with a special focus on nematodes and environmental features

Samples of the macrobenthic fauna of soft sediments were collected from around Svalbard during the 1991 Arctic EPOS cruise of RVPolarstern

The data was collected in the framework of a dive operated shallow water (5-30m) research of the benthic soft bottom community in Arctic Kongsfjord/Spitsbergen

In 1997 and 1998 soft-bottom fauna of the arctic glacial fjord Kongsfjorden was extensively sampled and major communities were identified along the fjord axis, which were believed to be related to the diminishing influence of the glacial activity. This set of data was collected as part of a PhD programme and was the result of repeated sampling in search for natural or climate driven community changes.

Study on meiobenthos and nematode communities (counts, density, biomass, genus composition) collected in the Arctic Ocean in August and September 1991. The data were digitized by VLIZ from the original report: Jivaluk, J. (1993). Comparative study of the meiobenthos in the Arctic region. MSc Thesis. RUG: Gent. 135 pp.