This view presents data selected from the geochemical mapping of North Greenland that are relevant for an evaluation of the potential for zinc mineralisation: CaO, K2O, Ba, Cu, Sr, Zn. The data represent the most reliable analytical values from 2469 stream sediment and 204 soil samples collected and analysed over a period from 1978 to 1999 plus a large number of reanalyses in 2011. The compiled data have been quality controlled and calibrated to eliminate bias between methods and time of analysis as described in Thrane et al., 2011. In the present dataset, all values below lower detection limit are indicated by the digit 0. Sampling The regional geochemical surveys undertaken in North Greenland follows the procedure for stream sediment sampling given in Steenfelt, 1999. Thrane et al., 2011 give more information on sampling campaigns in the area. The sample consists of 500 g sediment collected into paper bags from stream bed and banks, alternatively soil from areas devoid of streams. The sampling density is not consistent throughout the covered area and varies from regular with 1 sample per 30 to 50 km2 to scarce and irregular in other areas. Analyses were made on screened < 0.1 mm or <0.075 mm grain size fractions.

The regional-scale gamma spectrometry data are associated with two collaboration projects involving the Geological Survey of Greenland (GGU) and the Danish Atomic Energy Commission’s Research Establishment. The projects' objectives were to outline areas with an elevated uranium potential in two regions of Greenland: The airborne radiometric surveys in southern and central West Greenland in 1975/76 and the SYDURAN project in South Greenland in 1979-1982. To acquire the data, four-channel gamma ray spectrometers were mounted upon an aircraft (1975/76 surveys) and a helicopter (SYDURAN project). The vehicles flew along shoreline and valley contour lines at low average terrain clearances of 100 and 50 m respectively. The data were recorded without GPS systems, and so positioning was estimated when known landmarks were passed. This means that the dataset is sparse and inhomogeneous, and the spatial accuracy remains low. The gamma-spectrometer had been calibrated at a pad facility at Risø, which enabled the conversion of recorded counts per second into simulated concentrations of radioactive components in the surface of the overflown terrain. Large parts of the data (surveys from 1975/76) were originally stored on magnetic tapes and data were transferred to datafiles in 2003 to make them digital accessible. Most data were retrieved and are now available as ASCII files.

The dataset contains outlines of archived historical unpublished geological maps and sections of Greenland mostly created by GGU and GEUS but also some other institutes from 1916 onwards at various scales.

Protected areas in Greenland. The data are converted from the WFS that the ministery of mineral resources (MMR) in Greenland provides. Links are provided in the online resources.

The dataset contains the General Batymetric Chart of the Oceans (GEBCO) based on GEBCO_2019 Grid from 2019. The dataset has been projected to WGS 84 / IBCAO Polar Stereographic projection (EPSG:3996) and extends down to 50° latitude. The complete data set provides global coverage, spanning 89° 59' 52.5''N, 179° 59' 52.5''W to 89°: 59' 52.5''S, 179° 59' 52.5''E on a 15 arc-second grid. It consists of 43200 rows x 86400 columns, giving 3,732,480,000 data points. The data values are pixel-centre registered i.e. they refer to elevations at the centre of grid cells. The GEBCO_2019 Grid is a continuous, global terrain model for ocean and land with a spatial resolution of 15 arc seconds. The grid uses as a ‘base’ Version 1 of the SRTM15+ data set (Olson et al, 2014). This data set is a fusion of land topography with measured and estimated seafloor topography. It is largely based on version 11 of SRTM30+ (Becker et al, 2009; Sandwell et al, 2014), augmented with the gridded bathymetric data sets developed by the four Seabed 2030 Regional Centers. The published data were recalculated on a cell-registered grid for use by GEBCO. The GEBCO_2019 Grid includes data sets from a number of international and national data repositories and regional mapping initiatives.

A new inventory on onshore petroleum seeps and stains in Greenland. this new inventory has been developed to facilitate new activities. The classification includes the following features: (1) Oil seeps, (2) Gas seeps, (3) Mud diapirs, pingos and gas-rich springs, (4) Oil stains in volcanics, carbonates and sandstones, (5) Solid macroscopic bitumen, and (6) Fluids inclusions and other evidence of micro-seepage. The inventory comprises detailed information on localities, coordinates, and sample numbers together with description of features and geology including references to data, reports and publications. All information is summarized in either a mineralization or petroleum systems context. Petroleum seeps and stains have been reported from most Palaeozoic, Mesozoic and Cenozoic basins in Greenland where they add important information on petroleum systems, especially distribution and facies variation of source rocks, petroleum generation and later migration, accumulation, and degradation. The inventory is designed to be updated with additional localities and descriptions, and new organic geochemical data.

Greenland mineral assessment workshops have been held on Sedimentary-hosted Copper, type: redbed-, revett- and reduced-facies type in 2009, Various Rare Earth Elements deposit types in 2010 (this workshop was not carried out according to the 'three-part quantitative assessment' method), Sedimentary-hosted zinc SEDEX- and MVT-type in 2011, Magmatic nickel; komatiite-hosted, contact- and conduit-type in 2012 and Vein- and skarn type Tungsten in 2013 and Orogenic gold type in 2014. Most of the workshops, besides the one on rare earth elements, have been following the processes and methodologies used in the 'three-part quantitative assessment' method of the U.S. Geological Survey described by Singer (1993). The method does not define deposits or provide mineral resource or reserve estimates according to industrial or international recognised certified standards. The objective is to produce a probabilistic estimate of unknown/undiscovered deposits and corresponding probabilistic estimates of the total amount of metals down to one kilometre depth. The estimates do not take into account economic, technical, social or environmental factors. In the 'three-part quantitative assessment' method, an expert panel reviewed and discussed all available knowledge and data for a specific region (Tract) to assess the possibility of finding new undiscovered deposits within this Tract. The expert panels consisted of geologists from universities, research institutions, Surveys as well as private exploration and mining companies. The experts have either expertise in/worked with the deposit type in focus, with the regional and/or local geology relevant for the tracts being assessed or have expertise from exploration/mining projects for the deposit type in focus elsewhere in the world. One or two international top-experts on the mineral deposit type in focus for the different workshops have also participated in the workshop. After reviewing the available knowledge and data the members of the panel made their individual estimates (bids) of the number of undiscovered deposits they believed could be found under the best circumstances in a tract. The bids are based on the characteristics derived from descriptive mineral deposit models and a number of key-literature on the mineralisation type. In several of the workshops, critical elements have also been considered in the mineralising system (e.g. McCuaig & Hronsky 2014) associated with the deposit type in focus, when carrying out the bids. A panel discussion of the bids led to a consensus bid, which was used as input to a statistical Monte Carlo simulation. Based on established grade-/tonnage models of e.g. known tungsten deposits worldwide, this simulation can provide a prediction on how much undiscovered metals could be found within a Tract. The 'Tracts' are spatial polygons that define a certain area that was found to be permissive for the concerned mineral deposit type and which constitutes the same level of geology, knowledge and data coverage. Tracts are named with a unique name, tract area is given in square kilometre and consensus bids from team under N90, N50, N10, N05 and N01 headings of undiscovered metals deposits at different confidence levels. The statistics from the Monte Carlo simulation is shown under the headings Numbers of unknown deposits and Deposit density.

Dataset containing a summary of geological information for known mineral occurrences on Greenland. The information includes the location, size, mineral commodities, mineralisation type, exploration history and a geological description of the deposit. The data has been collected and compiled from fieldwork investigations conducted by geological surveys, academic researchers and mineral exploration companies.

All active exploitation licences. The data are converted from the WFS that th ministery of mineral resources (MMR) in Greenland provides. Links are provided in the online resources

The dataset contains rock sample geochemistry collected from 1957 to 2007 in south to central west Greenland analyzed with different methods that have been published in 3 reports.