The dataset contains geographic polygons representing the areas of Greenland covered in GEUS publications and in the DODEX report database. Each publication is associated with metadata including title, authors, year of publication and reference information as well as a link to the digital publication where publicly available. The dataset includes publication series such as GEUS Bulletin, Geological Survey of Denmark and Greenland Bulletin, Bulletin Grønlands Geologiske Undersøgelse, report series and geological map descriptions. The polygons are based on the geographic extent described in each publication and serve as a spatial index for search and visualisation purposes.

Uniform vertical aerial photographic coverage of Greenland was achieved between 1978 and 1987 at a scale of 1:150.000 by Mark Hurd Aerial Surveys, Inc., Minneapolis, Minnesota, U.S.A., on behalf of the Danish Geodetic Institute. The photography provided systematic nationwide coverage and formed a fundamental reference dataset for mapping and geodetic purposes. The black-and-white photographs were acquired using a Wild RC-10 camera equipped with a super wide-angle lens (focal length 88 mm). The aircraft used was a Gates Learjet 25C, flying at approximately 14 km altitude to achieve the image scale of 1:150.000. To minimise blind areas caused by steep mountain slopes in combination with the wide-angle lens, photographs were acquired with 80% forward overlap and 40% side overlap. Photo centre coordinates were established through aerotriangulation performed by the Danish Geodata Agency. The dataset has subsequently been used for mapping, aerotriangulation and scanning applications.

The Greenland Geochronology Database is a systematic compilation of published U-Pb geochronological data from Greenland. The dataset integrates age determinations from a wide range of scientific publications and normalises isotopic ratios and uncertainties into a consistent format, with all analytical errors reported at the 1 sigma level. Ratios have been verified against reported ages and corrected where necessary to ensure internal consistency. The database is structured to enable efficient querying and cross-comparison of geochronological information derived using different analytical standards.

The dataset comprises a topographic map of Northeast Greenland delivered as a digital elevation model (DEM) with a spatial resolution of 8 metres. The DEM is provided as GeoTIFF and represents a seamless elevation surface covering the study area. The dataset was produced using input data from the ArcticDEM project, which is based on stereo imagery from the DigitalGlobe WorldView-1, WorldView-2 and WorldView-3 satellites. The elevation model integrates selected DEM strips recorded between 2012 and 2015 and has been processed to ensure consistency and continuity across the mosaic.

The dataset comprises geochemical analyses of 1,269 soil samples collected in Greenland from 1974 onwards as part of systematic geochemical mapping and mineral exploration programmes. Soil samples were primarily collected in areas lacking developed stream channels where stream sediment sampling was not feasible. The samples represent surface material and have been analysed for major and trace elements using various laboratory methods including X-ray Fluorescence Spectrometry (XRF), Instrumental Neutron Activation Analysis (INA), Inductively Coupled Plasma Emission Spectrometry (ICP), and Atomic Absorption Spectrometry (AAS). The dataset contains the original analytical results as received from the laboratories together with administrative information on sample location and analysed grain-size fraction. The data form part of the analytical basis for the Geochemical Atlas of West and South Greenland.

This dataset shows the percentage nitrogen retention in Denmark, i.e. the proportion of nitrogen leached from the root zone that is transformed or retained in the subsurface and surface waters before reaching the coast. Nitrogen retention is calculated using the National Nitrogen Model and represents an average retention for the period 1990–2010. The dataset provides nationwide coverage of spatial variations in nitrogen retention and is used as a basis for assessing nitrogen transport and coastal nutrient loading. The National Nitrogen Model version 2020 is documented in National Nitrogen Model – version 2020, a GEUS special report, including a method report (ISBN 978-87-7871-551-7) and an appendix (ISBN 978-87-7871-552-4), both available from GEUS (in danish).

Sirkumpolært grunnkart med transparent hav som kombinerer topografiske detaljer fra Kartverket og Norsk Polarinstitutt syd til X breddegrad (sør-Frankrike). Det inneholder også kartdata fra de andre arktiske landene som er tilgjengeliggjort gjennom Arctic Spatial Data Infrastructure (Arctic SDI). Kartet inneholder ikke sted- og veinavn, disse kan legges på gjennom tjenesten sirkumpolære stedsnavn cache.

The Geomorphological Map of Denmark, version 3 (2022), depicts landscape types across Denmark at a scale of 1:200.000. The landscape types are defined based on shared geomorphological characteristics that can be related to the processes responsible for their formation. Most landscape types were formed during Quaternary glaciations and by meltwater from the glaciers, while the map also includes post-glacial landscapes such as marine and coastal environments, river valleys, lakes and wetlands, as well as aeolian landforms. The map further reflects landscape features influenced by pre-Quaternary bedrock, including exposed crystalline basement on Bornholm and chalk formations in northern Jutland, as well as surface features related to subsurface structural movements. Anthropogenic landscapes resulting from land reclamation, drainage, excavation, and infilling are also represented. The map is based on systematic geomorphological mapping and interpretation of landforms derived from geological data, terrain analysis and existing cartographic material.

Indigenous peoples of the Arctic countries subdivision according to language families. This service is internal and only used in the Arctic-SDI geoportal: https://geoportal.arctic-sdi.org/