Layer showing the boundaries used to subset the modelling of EUSeaMap (2019) therefore streamlining the processing. Each region had a specific partner lead within the consortium: Celtic seas & Arctic - JNCC Iberian peninsula & Black Sea - Ifremer Baltic sea - GEUS Mediterranean - ISPRA

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.

This dataset compiles information and photographs collected at 49 observation stations during a field campaign conducted from July 31 to August 11, 2025, in the central part of the Kivalliq region. It includes the locations of sites where ice-flow indicators were measured, along with their relative chronology where it could be determined in the field. It also includes the locations of till sampling sites collected for geochemical and indicator mineral analyses, as well as sites where boulders and bedrock surfaces were sampled for terrestrial cosmogenic isotope dating. Analytical results and interpretations will be presented in subsequent publications.

The dataset contains geochemical analyses of 49 scree (talus) samples collected in Greenland as part of regional geochemical mapping programmes conducted by the Geological Survey of Greenland (GGU), later GEUS, between 1977 and 1997. Scree samples were collected in areas where neither stream sediment nor soil sampling was feasible. The samples represent near-surface material derived from local bedrock and were analysed for major and trace elements using laboratory methods available at the time of collection. The dataset supplements regional geochemical data from stream sediment and soil samples and forms part of the overall basis for geochemical mapping in Greenland.

The topographic map of Greenland at a scale of 1:250.000 is based on data collected from the 1930s through the 1970s and 1980s. These data formed the basis for the production of a series of 1:250.000 scale topographic map sheets, which continue to serve as the primary topographic reference for large parts of Greenland. Mapping of areas prior to 1970 was based on several historical map series, including 18 map sheets at a scale of 1:300.000 covering North Greenland produced by Lauge Koch between 1932 and 1940, 1:250,000 scale mapping of parts of Northeast Greenland conducted by the Geodetic Institute in the 1930s, and complete national coverage at 1:250.000 produced by the American Army Map Service in the 1950s. The digital topographic map of North and Northeast Greenland has been produced by the Geological Survey of Denmark and Greenland (GEUS) since 1977, based on high-precision digital photogrammetry using aerial photographs. The dataset has primarily been used as a topographic reference for geological mapping at scales of 1:100.000 and 1:500.000.

The VMap1 collection is a legacy product that is no longer supported. It may not meet current government standards. VMap1 is a vector digital topographic reference product developed by Natural Resources Canada (NRCan) and The Department of National Defence (DND). VMap1 complies with international military specifications vector map, level 1. There are 24 VMap1 libraries covering the Canadian territory. The National Topographic Data Base (NTDB) at scale of 1:250 000 is the main source used to populate the Canadian VMap1 Libraries. Administrative Boundaries from Statistics Canada are used to add international borders, provincial and Indian reserve limits. NRCan paper maps at scale of 1:250 000 and the information in the Canadian Geographical Names Data Base (CGNDB) are used to capture the names. The JOG (Joint Operations Graphic) paper maps were used by DND for the production of libraries 37, 38 and 66. Topographic features mainly from the NTDB have not been updated. VMap1 is published once and no product revision is planned.

Gagnasafn (GDB) NI_D25v_selalaturVidStrendurIslands_2.utg.: Útbreiðsla landsela (Phoca vitulina) og talningagögn 1980-2018. Útbreiðsla útsela (Halichoerus grypus) og talningagögn 1982-2017. [Seal haul-outs around Iceland]. Fjögur flákalög sem sýna kortlagningu 430 landselslátra á 93 talningasvæðum (ni_d25v_landselir_1980_2018_selalatur_fl, ni_d25v_landselir_1980_2018_talningarsvaedi_fl) og 86 útselslátra á 19 talningasvæðum (ni_d25v_utselir_1982_2017_selalautur_fl, ni_d25v_utselir_1982_2017_talningarsvaedi_fl). Talningagögn segja til um fjölda sela á hverju talningasvæði. Selir eru taldir á nokkurra ára fresti og gefur ágæta mynd af breytingum í stofnstærð og umfangi selalátra. Landselir eru taldir síðsumars en útselir að hausti. Nánari skýringar á aðferðum við selatalningar og stofnmat er að finna í Fjölriti 56. Látur eru strandsvæði sem selir leita á til að kæpa, sinna uppeldi kópa, hafa feldskipti og hvílast. Orðið selalátur vísar hér til smæstu samfelldu spildanna þar sem selir halda til. Talningasvæði er aftur á móti víðtækara safnheiti sem oftast nær yfir mörg smærri selalátur. Nákvæmni kortlagningu selalátra miðast við mælikvarða 1:25.000, en nákvæmni talningasvæða er um 1:250.000. [General overview of the seal haul-out locations around Iceland for harbour seals (Phoca vitulina) and grey seals (Halichoerus grypus). The harbour seal population has been monitored with direct counts (aerial censuses) since 1980 and the grey seal population since 1982. Both feature classes 'latur' show the haul-outs (Icelandic: látur) for each species. The haul-outs are grouped into counting zones (Icelandic: talningarsvæði) and both feature classes 'talningarsvaedi' show the associated population counts.] .

Arctic mask shapefile produced by EMODnet Seabed Habitats as an input layer for the 2021,2023 and 2025 EUSeaMap broad-scale habitat models. Used as a proxy to delimit the Arctic zone and it is used to classify shallow habitats into Arctic habitat classes as required by the EUNIS 2022 habitat classification. Details on the methods used to classify EUSM are present in the report linked in the Online Resources (Vasquez et al., 2021a). The masks covers areas in the Barents Sea which are North of the polar front or where ice concentration exceeded 20% on average in 2018. The 20% threshold was derived from WMO ice classification and corresponds to "Very open drift ice". Created by the EMODnet Seabed Habitats project consortium in 2021, and used in the 2023 and 2025 versions of EUSeaMap. No updates have been made to this layer. A report on the methods used to create the layer are in the 2021 version of EUSeaMap (Vasquez et al., 2021b) and reports on previous versions (v2019 and v2023) are linked in the lineage. A report on the methods used in the 2025 version of EUSeaMap will be added in due course. Credit: Licensed under CC-BY 4.0 from the European Marine Observation and Data Network (EMODnet) Seabed Habitats initiative (https://emodnet.ec.europa.eu/en/seabed-habitats), funded by the European Commission.

The dataset shows the depth to the redox interface in metres below ground level across Denmark at a spatial resolution of 100 metres. The redox interface represents the transition between oxidised and reduced sediment layers and is a key hydrogeological parameter influencing processes such as nitrate reduction and groundwater chemistry. The map is based on a statistical model developed from approximately 13.000 observations of colour changes in sediment samples and represents the best estimate of the depth to the redox interface nationwide. The dataset also includes an associated uncertainty estimate describing the variability and robustness of the model results.

Shapefile showing areas where ice concentration in the Barents Sea in 2018 was on average more than 20%. The 20% threshold was derived from WMO ice classification and corresponds to "Very open drift ice". Data averaged by Ifremer and NIVA derived from CMEMS (Copernicus) ice concentration product (resolution 1km, temporal resolution 1 year- 2018). Used in EUSeaMap 2021 to create the Arctic mask layer as an input layer for the 2021 EUSeaMap broad-scale habitat model Created by the EMODnet Seabed Habitats project consortium. A report on the methods used in the 2021 version of EUSeaMap (Vasquez et al., 2021) and reports on previous versions (v2016 and V2019) are linked in Online Resources. Credit: Licensed under CC-BY 4.0 from the European Marine Observation and Data Network (EMODnet) Seabed Habitats initiative (www.emodnet-seabedhabitats.eu), funded by the European Commission.