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

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).

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 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.

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.

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 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

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.

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.