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).

Appendix 6.1.1. Freshwater and diadromous fish species by area of occurrence within the High Arctic, Low Arctic and sub-Arctic. Appendix 6.1.2. Freshwater and diadromous fishes of the Palearctic and Nearctic regions. Appendix 6.1.3. Occurrence of freshwater and diadromous fishes in the Arctic and sub-Arctic regions of the seven geographical regions referred to in the main text. Appendix 6.1.4. Freshwater and diadromous fish species status summary for species assessed at some level of risk by country or region

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.

Appendix 9.7 Species list with full names of liverworts of Greenland according to Damsholt (2010, unpublished) including 22 families, 50 genera and 173 species.

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).

Appendix 17.2. Cryptic speciation in selected Arctic terrestrial and marine species.

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 9.3 Borderline vascular plant species (“b”) with indication of PAF code number, reaching the southernmost part of the Arctic subzone E. Arctic floristic provinces, subzones (A-E), neighbouring boreal or boreo-alpine zone (N) derived from Elven (2007).

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.

The dataset comprises spatial polygons (Tracts) representing areas in Greenland assessed as geologically permissive for specific mineral deposit types during mineral resource assessment workshops conducted between 2009 and 2014. Assessments were carried out following the principles of the U.S. Geological Survey “three-part quantitative assessment” method (Singer, 1993), except for the 2010 rare earth elements workshop. For each Tract, probabilistic estimates of the number of undiscovered deposits at different confidence levels are provided, along with statistical results from Monte Carlo simulations based on established grade-tonnage models. The assessments do not include economic, technical, environmental or social considerations.