This layer comprises all the available water wells in GIN (Yukon, British Columbia, Alberta, Saskatchewan, Manitoba, Ontario, Quebec, Nova Scotia and Newfoundland and Labrador) and published through the open data platforms. This layer is a combination of all individual provincial and territorial layers. The original databases are dynamically converted by an automatic process managed by Natural Resources Canada (Groundwater Information Network).

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.

Appendix 11. Taxa of hetorotrophic protists reported from Foxe Basin, Canada (FB), Disko Bay, W Greenland (DB; Vors 1993), the Greenland Sea (GLS; Ikävalko & Gradinger 1997) and Northern Baffin Bay, Canada (NBB; Lovejoy et al. 2002).

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.

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.

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

Breeding bird species in the different geographic zones of the low and high 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.

Appendix 9.7 Species list with full names of liverworts of Greenland according to Damsholt (2010, unpublished) including 22 families, 50 genera and 173 species.

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.