Appendix 9.7 Species list with full names of liverworts of Greenland according to Damsholt (2010, unpublished) including 22 families, 50 genera and 173 species.

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.

DK model 2019 – Model data comprises core model data from GEUS’ national hydrological model for Denmark. The dataset describes the model basis used in DK model 2019, including the hydrogeological model structure, computational grid, groundwater bodies, climate input, water abstraction data, stream network and other thematic input data included in the model setup. DK model 2019 was updated with new groundwater bodies, new hydrogeological mapping information and a new calibration against observed groundwater heads and stream discharge. The model data form the basis for calculations of groundwater recharge, water balance, water abstraction, drawdown, exploitation rates and impacts on streams. The dataset is suitable as documentation of the model basis and as input to regional analyses, screening and further modelling studies, but should not be used directly for local-scale issues without a separate assessment.

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).

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.

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.

The dataset comprises geological, geophysical and modelled data related to the assessment and maturation of CO₂ storage opportunities in Denmark. The data were produced within CCS2022–2024, a GEUS project focusing on mapping and assessment of potential CO₂ storage sites in the Danish subsurface. The dataset includes analyses of reservoir properties, storage capacity, injection strategies and geological risks in Danish sedimentary basins. Data have been used to support governmental tasks, research and the development of CCS as a potential climate mitigation solution in Denmark.

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 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.

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