Aggragation of all groundwater monitoring stations from participating provincial and territorial agencies: - Nova Scotia Environment - Ontario Ministry of the Environment, Conservation and Parks - Alberta Environment and Sustainable Resource Development - Newfoundland and Labrador Department of Environment and Climate Change - Prince Edward Island Department of Environment, Energy and Climate Action - New Brunswick Environment - Quebec Ministère de l'Environnement et de la Lutte contre les changements climatiques - Manitoba Department of Agriculture and Resource Development - Saskatchewan Water Security Agency - British Columbia Ministry of Environment and Climate Change Strategy - Yukon Water Resources Branch of the Department of Environment This web service complies with the OGC's SensorThings API standard and provides access to archives of historical and recent groundwater level measurements from provincial stations.

This group of maps, which includes the CanMatrix and CanTopo collections, is now a legacy product that is no longer maintained. It may not meet current government standards. Natural Resources Canada's (NRCan) topographic raster maps provide a representation of the topographic phenomena of the Canadian landmass. Several editions of paper maps have been produced over time in order to offer improved products compared to their predecessors in terms of quality and the most up to date information possible. The georeferenced maps can be used in a Geographic Information System (GIS). In all cases, they accurately represent the topographical data available for the date indicated (validity date). The combination of CanMatrix and CanTopo data provides complete national coverage. • CanMatrix - Print Ready: Raster maps produced by scanning topographic maps at scales from 1:25 000 to 1:1 000 000. This product is not georeferenced. Validity dates: 1944 to 2005 (1980 on average). Available formats: PDF and TIFF • CanMatrix - Georeferenced: Raster maps produced by scanning topographic maps at scales of 1:50 000 and 1:250 000. These maps are georeferenced according to the 1983 North American Reference System (NAD 83). Validity dates: 1944 to 2005 (1980 on average). Available format: GeoTIFF • CanTopo: Digital raster maps produced mainly from the GeoBase initiative, NRCan digital topographic data, and other sources. Approximately 2,234 datasets (maps) at scale of 1:50 000, primarily covering northern Canada, are available. CanTopo datasets in GeoPDF and GeoTIFF format are georeferenced according to the 1983 North American Reference System (NAD 83). Validity dates: 1946 to 2012 (2007 on average). Available formats: PDF, GeoPDF, TIFF and GeoTIFF

Large Marine Ecosystems (LMEs) are regions of ocean space encompassing coastal areas from river basins and estuaries to the seaward boundary of continental shelves and the seaward margins of coastal current systems. Fifty of them have been identified. They are relatively large regions (200 000 km2 or more) characterized by distinct bathymetry, hydrography, productivity and trophically dependent populations. The LME approach uses five modules: 1. productivity module considers the oceanic variability and its effect on the production of phyto and zooplankton 2. fish and fishery module concerned with the sustainability of individual species and the maintenance of biodiversity 3. pollution and ecosystem health module examines health indices, eutrophication, biotoxins, pathology and emerging diseases 4. socio-economic module integrates assessments of human forcing and the long-term sustainability and associated socio-economic benefits of various management measures, and 5. governance module involves adaptive management and stakeholder participation.” Source: http://www.fao.org/fishery/topic/3440/en Reference: Sherman, K. and Hempel, G. (Editors) 2009. The UNEP Large Marine Ecosystem Report: A perspective on changing conditions in LMEs of the world’s Regional Seas. UNEP Regional Seas Report and Studies No. 182. United Nations Environment Programme. Nairobi, Kenya. Data available from: http://lme.edc.uri.edu/ - LMEs of the world Updated shape file - 2014

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.

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.

Appendix 10.2. Data on diversity of lichens and lichenicolous fungi in the Arctic and separately for the sectors of the Arctic (Beringia, Canada, North Atlantic, European Russia, W and E Siberia) and the single floristic provinces: numbers of species, numbers of species in the low and high Arctic, percentage of species with respective growth form (crustose, squamulose, foliose, fruticose), the estimated number of missing crustose lichen species (explanations below), percentage of species on the respective substrate on which the lichen species grow, and rarity of species within and outside the Arctic.

Appendix 9.8 The thirty moss families of the Canadian Arctic Archipelago with reference number (Ireland et al. 1987) in brackets. Number of species in each family, number of genus in family, and number of species in each genus are given. Species-rich genera and families are highlighted in grey.

DK model 2019 – Calibration statistics comprises spatial and statistical results from the calibration and evaluation of GEUS’ national hydrological model for Denmark. The dataset documents model performance for groundwater heads and stream discharge, including statistical measures such as RMSE and mean error for groundwater heads as well as WBE, summer WBE and KGE for streamflow simulations. The calibration was carried out using dynamic model runs and inverse parameter estimation with PEST based on observed groundwater heads and daily discharge data for the period 2000–2010. The dataset is intended for assessing the suitability of DK model 2019 for regional analyses, screening and further use. The calibration statistics describe model performance at national and regional scales and should not by themselves be used as documentation of local-scale model accuracy.

DK model 2019 – Simulation results comprises calculated hydrological results from GEUS’ national hydrological model for Denmark. The dataset contains derived results from model runs with DK model 2019, including calculations of water balance, groundwater recharge, impacts of water abstraction, groundwater drawdown, streamflow impacts and changes in flow-related indicators. The results include, among other outputs, comparisons between scenarios with current abstraction and reference scenarios without abstraction. The dataset is used for regional assessment of hydrological conditions, screening of water resource and impact conditions, and documentation of model-calculated results. The results are model-based and should be used with due consideration of the regional purpose, model uncertainties and limitations of DK model in relation to local-scale applications.

DK model 2019 – Model data comprises core model data from GEUS’ national hydrological model for Denmark. The dataset describes the model basis used in DK model 2019, including the hydrogeological model structure, computational grid, groundwater bodies, climate input, water abstraction data, stream network and other thematic input data included in the model setup. DK model 2019 was updated with new groundwater bodies, new hydrogeological mapping information and a new calibration against observed groundwater heads and stream discharge. The model data form the basis for calculations of groundwater recharge, water balance, water abstraction, drawdown, exploitation rates and impacts on streams. The dataset is suitable as documentation of the model basis and as input to regional analyses, screening and further modelling studies, but should not be used directly for local-scale issues without a separate assessment.