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

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 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 – Water resources assessment comprises derived results from GEUS’ national hydrological model for Denmark for assessing the use and quantitative status of groundwater resources. The dataset contains model-based assessments of groundwater recharge, water abstraction, exploitation rates, water balance, groundwater drawdown and related assessments at groundwater body level. Exploitation rates are calculated as the ratio between abstraction and groundwater recharge and are used together with information on drawdown and streamflow impacts to assess whether groundwater bodies may be at risk with respect to water balance and quantitative status. The dataset is suitable for regional screening, documentation and overall assessment of groundwater resources, but should not be used as the sole basis for local-scale decisions without additional expert evaluation.

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.

GE.Bedrock 1:1 000 000 is a transformed version of the SGU product Bedrock1:1 million with the purpose to conform to the Inspire data specification for Geology encoded according to GeoSciML 4.0. It is also a contribution to the OneGeology initiative (www.onegeoloy.org). Data is represented in a two-dimensional model of the top of the bedrock, describing identified geological units geometry, the material composition of the units and geologic events that has acted on the units. Shear displacement structures like faults on the top of bedrock are also included in the model. The main features of the bedrock geology of Sweden is represented in the produkt and since it is based on compilation of bedrock maps of different scales, age and quality the accuracy of the data varies within the dataset. The product is produced for presentation at the scale of 1:1 miilion which means that some units are heavily generalized.

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