This data set presents the basemap developed as part of the Montreal by Foot (MàP) project in a web tiled map service (_Web Tile Map Service_ WTMS). It is made available in order to allow citizens and partners of the City to create web mapping tools by offering a unique graphic charter, designed specifically to promote pedestrian travel. The Montréal à Pied project aims to improve orientation and pedestrian paths throughout Montreal. The selection and classification of places of interest prioritize pedestrian and local travel. This project includes a cartographic component intended to renew the graphic signature of the representation of the City of Montreal, on digital media and on urban furniture receiving maps of the City. The basemap is intended in particular to support the representation of data [Places of interest] (places of interest) also developed under the MàP project and available as open data.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This dataset contains a seamless digital geological map of the Karrat area in central West Greenland based on four geological map sheets at a scale of 1:100 000: Maarmorilik 71 V.2 South, Nuugaatsiaq 71 V.2 North, Pannertooq 72 V.2 South and Svartenhuk 71 V.1 North. Geological mapping was carried out in the fjord regions north of Uummannaq as part of a collaborative project between the Geological Survey of Denmark and Greenland (GEUS) and the Ministry of Mineral Resources and Justice of Greenland. The dataset is based on 3D photogeology using more than 35,000 oblique photographs collected during three field seasons combined with traditional field observations and subsequent geochemical and geochronological analyses. The dataset provides an updated geological understanding of the meta-sedimentary and meta-volcanic rocks of the Karrat Group, the structural evolution of the Rinkian Orogen and the structure of the West Greenland Basalt Group. The dataset supports geological research, regional geological mapping and mineral exploration.

The dataset is based on OpenStreetMap (OSM) data downloaded from the official OpenStreetMap distribution platform. The data have subsequently been processed and published as a customised web service. OpenStreetMap is an open, crowdsourced geospatial dataset that is continuously maintained and updated by a global community of contributors. The dataset contains vector-based geographic features, including transport networks, buildings, land use, hydrography, natural features, and points of interest. The data are used as a background map and reference dataset for map visualisation and spatial analysis at local, regional, and national scales. Data content and quality vary geographically and depend on contributor activity.

EOxCloudless is a global satellite imagery dataset consisting of near-cloudless mosaics derived from Copernicus Sentinel-2 multispectral satellite data. The dataset is produced by EOX IT Services GmbH and is designed to provide consistent, high-resolution surface imagery for mapping, analysis, and visualization purposes. The mosaics are generated by combining a large number of Sentinel-2 Level-1C observations acquired over defined time periods. Advanced pixel selection algorithms and thematic masks (including clouds, cloud shadows, and water) are applied to reduce cloud contamination. For each pixel location, the most representative observation is selected based on statistical criteria and temporal analysis, resulting in near-cloudless composite images. The dataset provides global land coverage and is typically delivered at a spatial resolution of 10 metres for the utilised spectral bands (blue, green, red, and near-infrared). EOxCloudless is suitable for use as a basemap as well as for environmental monitoring, land analysis, spatial planning, and other geoscientific applications.

This dataset represents a nationwide digital geological map of superficial deposits in Denmark at a scale of 1:200.000. The map shows the classification and distribution of near-surface deposits, primarily glacial and post-glacial sediments. The dataset is based on the Digital Soil and Sediment Map of Denmark at 1:25.000 in areas where detailed mapping is available. In other areas, the distribution of deposits has been interpreted based on borehole data, landscape analysis and other available geological information. The deposits are classified into 12 generalised types, making the dataset a simplified and generalised version of the detailed 1:25.000 map. The dataset provides a national overview of superficial deposits and serves as a reference for regional and national applications.

The dataset shows global bathymetry based on The General Bathymetric Chart of the Oceans (GEBCO) 2019. The dataset represents a continuous model of seafloor topography derived from a combination of multibeam, singlebeam and satellite altimetry data. The dataset has been reprojected to a polar stereographic projection and published as a web-based background map for use in the ISAAFFIK Arctic Gateway portal.

The seabed sediment map shows the distribution of seabed sediments in Danish waters and represents an integrated interpretation of sediment types within the upper approximately 0.5 metres of the seabed. Sediment classes are defined based on grain-size composition and reflect an average of the surface sediments. Glacial till is classified as a mixed sediment, while sedimentary bedrock indicates areas where deposits several million years old are exposed on the seabed. The map was updated in 2020 and builds upon the previous version from 2014, with newly mapped areas added at full level of detail. The dataset provides a nationwide overview of seabed sedimentary conditions and is used, among other purposes, for raw material mapping, marine spatial planning, and environmental assessments.

This dataset represents a map of ice margin lines and related localities in Scandinavia, illustrating the gradual deglaciation of the Scandinavian Ice Sheet during the last glaciation, the Weichsel Ice Age. The map depicts the ice sheet extent in five main deglaciation phases, as well as the occurrence of recent ice caps, ice-margin localities, De Geer moraines, ice margin lines and hypothetical ice margin lines. The dataset was compiled in 1995 in connection with TemaNord and presents a regional overview of the deglaciation history of Scandinavia. GEUS has provided technical input in producing the ice margin map.

The Digital Geological Map of Denmark 1:25,000, version 7.0, is a nationwide geological dataset describing the distribution of near-surface soil and sediment types across Denmark. The dataset is produced and maintained by the Geological Survey of Denmark and Greenland (GEUS) and represents the latest version of the digital soil and sediment map at a scale of 1:25,000. The map is based on an integrated interpretation of geological field observations, borehole data, historical analogue maps, and more recent digital datasets. Soil and sediment units are classified according to their lithological and genetic characteristics and represent the dominant materials in the uppermost geological layers. The dataset is continuously updated, and version 7.0 includes both revisions of previously mapped areas and newly mapped regions. The dataset is widely used as a foundation for geological analysis, land-use planning, environmental assessment, groundwater protection, raw material management, research, and education. In version 7 from 2023, 93% of Denmark's land area is classified, and the map is continuously supplemented. The map and sediment type description are published in GEUS report 2023/29, where further information is available.

The seamless digital geological map is based on the digitisation and harmonisation of 21 geological map sheets at 1:100 000 scale, originally published by GGU/GEUS between 1966 and 2011. This edition updates and expands the 2019 version, which included 16 sheets, by integrating five additional 1:100 000 sheets and selected information from 1:500 000 scale maps in areas lacking detailed coverage. The map also incorporates a simplified geological interpretation of Bjørneøen and Storeø in Godthåbsfjorden based on detailed mapping by Claus Østergaard (2005). The dataset provides a consistent, seamless geological framework optimised for digital display at the 1:100 000 scale.