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.

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 contributorsSupplemental information: Sightings 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 4 contributors in alphabetic order: Amanda Urena; Hondius; MS Otto Sverdrup; Theo Vickers

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 contributors Supplemental information: Sightings 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 9 contributors in alphabetic order: Anna Astafurova; Barnaby; D Cavagnac; Hans Verdaat; Hondius; Jamie Coleman; Joel Moore; Philip Stone; Pippa Low

This Amphipoda dataset contains three parts: 1. Distribution records collected from literature; 2. Distribution records of specimens collected by the BioICE project (Benthic Invertebrates of Icelandic waters 1992-2004); 3. Distribution records of specimens collected by the IceAGE project (Icelandic marine animals: Genetics and Ecology, since 2011). The IceAGE data are outcome of two Amphipoda identification workshops held in Wilhelmshaven, Germany (2016) and Spala, Polen (2017).

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. Original provider: Institute of Ecology and Evolution of Russian Academy of Sciences Dataset credits: Boris Solovyev, Institute of Ecology and Evolution of Russian Academy of Sciences Marine Mammal Council Supplemental information: Aerial surveys were conducted on board a helicopter based at he Scientific-Expedition Ship Mikhail Somov. The tracks represent those of the helicopter. Tracks were provided as summarized shapefiles and are not registered in the OBIS-SEAMAP database. Thus, spatial and temporal exploration of the tracks is not available online. Among them, the tracks on 2010-10-08 are not shown due to the technical issue.

This product enables users to assess spatial and temporal change in fish functional feeding traits across the northeast Atlantic shelf seas. Values are based on non-metric multidimensional axis scores, weighted by biomass observed in otter trawl surveys. This product is the result of collating and analyzing fish stomach contents data from the North Atlantic and Arctic Oceans to classify fish into feeding guilds. The feeding guilds identified include planktivores, benthivores, bentho-piscivores, and piscivores. Non-metric multidimensional scaling (NMDS) analysis was used to provide a more nuanced understanding of different predator feeding traits in relation to others. The NMDS analysis presents axis scores that offer a bounded data perspective, as opposed to categorical, of different predator feeding traits. This analysis is part of the process to classify feeding guilds based on predator stomach contents data. See figure S4 in https://essd.copernicus.org/preprints/essd-2024-102/essd-2024-102-supplement.pdf for a pictorial depiction. Uses attributes recommended by http://cfconventions.org

This dataset is a collection of several sampling campaigns dealing with meiobenthos on different locations and times. All data were gathered between 1966 and 1993, on depths ranging between 30 and 8 380 meters. Meiobenthic information is available for the Arctic, the Atlantic, the Pacific, the Mediterranean and the Red Sea.

Long-term monitoring programs on benthic fauna are missing for large areas of the Arctic. In areas where repeated monitoring has occurred, it is difficult to compare data due to different sampling approaches and different targets of monitoring efforts. There is a need for an international standardization of long- term benthic monitoring. The CBMP Benthos Expert Network has identified potential ways to improve benthic monitoring coverage, and has come up with a map showing a Pan Arctic station map.

The North Atlantic and Arctic Isopoda dataset contains three parts: 1. Distribution records collected from literature; 2. Distribution records of specimens collected by the BIOICE project (Benthic Invertebrates of Icelandic waters 1992-2004); 3. Distribution records of specimens collected by the IceAGE project (Icelandic marine animals: Genetics and Ecology, since 2011). This dataset contains distribution data regarding the 2nd group, isopods occurrences sampled during the BIOICE project