Appendix 9.2 The 106 Arctic endemic vascular plant species (with PAF code number) and their distribution in the Arctic floristic provinces and subzones (A-E) compiled from Elven (2007).

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.

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).

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.

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

Marine fishes in the Arctic Ocean and adjacent seas (AOAS).

Appendix 10.1. Updated Panarctic Lichen Checklist as used for the calculations (version March 2013) with data on preferred substrate, growth form (crustose, squamulose, foliose, fruticose), rarity of species within and outside the Arctic, occurrence in the low and high Arctic and occurerence in the floristic provinces.

Appendix 17.3. Phylogeographic and population genetics studies of selected Arctic species.

This dataset comprises regional geochemical stream sediment data from West and South Greenland and forms the basis of the Geochemical Atlas of West and South Greenland (Steenfelt, 2001). The Geochemical Atlas of West and South Greenland presents the results of a regional stream sediment geochemical mapping programme conducted between 1979 and 1998. A total of 7,122 stream sediment samples were collected from low-order streams with near-uniform spatial coverage across West and South Greenland. The <0.1 mm grain-size fraction of 500 g samples was analysed for major and trace elements using X-ray fluorescence spectrometry (XRF), instrumental neutron activation analysis (INAA), delayed neutron counting (DNC) and loss on ignition (LOI). After systematic calibration and quality control to eliminate analytical bias between different methods and time periods, a harmonised and internally consistent dataset was established containing up to 43 elements per sample. The atlas provides a regional overview of the geochemical composition of the minerogenic fraction of stream sediments and constitutes a geochemical baseline dataset for geological mapping and mineral exploration in Greenland.

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.