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

The dataset consists of a series of ASTER band ratios combined into colour composite images designed to highlight mineralogical distributions and lithological variability in Northeast Greenland. The ASTER scenes were preprocessed with atmospheric, radiometric and topographic corrections, including radiative transfer modelling using ATCOR-3 in rugged terrain mode. A surface elevation model was applied to adjust illumination effects. Non-outcrop pixels were masked prior to generating the final mosaic. Calibrated radiance data were converted to apparent surface reflectance; however, further calibration against ground-based reflectance measurements was not feasible. The dataset represents a derived remote sensing product and not primary satellite data.

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.

This group of maps, which includes the CanMatrix and CanTopo collections, is now a legacy product that is no longer maintained.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

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).

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.

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 9.7 Species list with full names of liverworts of Greenland according to Damsholt (2010, unpublished) including 22 families, 50 genera and 173 species.

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.

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.