Zircon age data as gathered from literature and GEUS samples

The MARTA database contains shallow seismic and acoustic data, information and geological samples. MATRA shows the distribution of marine sand and gravel resources and gives access to reports on raw material surveys. MARTA shows the distribution of marine sand and gravel resources and gives access to reports on raw material surveys. Data has primarily been acquired by GEUS and our partners., MARTA is the official Danish marine raw material database for data reported in accordance with the Danish Raw Material Act. MARTA is used by the raw materials industry and authorities and as a planning tool in connection with raw material extraction and marine construction projects including beach nourishment. The database is updated on an ongoing basis.

Nationwide geophysical database for environmental and raw material data, also known as GERDA (GEophysical Relational DAtabase). The database contains various types of geophysics, including geoelectrics, electromagnetics, borehole logs and seismic. All data is freely available for download on the GEUS website. The database is updated continuously.

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.

This view presents data from stream sediment geochemical mapping of West and South Greenland (Steenfelt, 2001a). Stream sediment samples were collected from 1979 to 1998 with as even coverage as possible from low-order streams and with a sampling density between 1 sample per 5 km2 and 1 sample per 50 km2, mostly around 1 sample per 30 km2. With few exceptions, the 0.1 mm grain size fractions of 500-g samples were analysed for major and trace elements by two or three methods. After careful quality control and elimination of bias between analytical values determined by different methods or at different times (calibration), the most reliable analytical data were selected as the final consistent dataset, containing data from 7122 samples analysed for up to 43 elements (see Steenfelt 1999, 2001b for details on data selection and calibration). Major element oxides and volatiles are determined by X-Ray Fluorescence Spectrometry (XRF) and loss on ignition, respectively. Loss on ignition mostly reflects the amount of organic material in stream sediment samples. As the aim is to show the regional variation in the chemistry of the minerogenic component of the stream sediment, volatiles are not included in the major element composition which is recalculated as volatile-free oxides. Instead, volatiles are listed in a separate column for documentation. Locally, high loss on ignition may be caused by high contents of carbonate in the stream sediment of streams draining rare occurrences of marble or carbonatites. For detailed or more accurate studies, the CO2 concentrations of the stream sediment samples should be measured, or the amount of carbonate minerals estimated by microscopy. Trace element data are from methods determining total concentrations (XRF, Instrumental Neutron Activation, Delayed Neutron Counting). The quality of the trace element data varies (see Steenfelt 1999, 2001b) In the present dataset, all values below lower detection limit are indicated by the digit 0. Sample location Before 1993, sample sites were originally marked on topographic maps at the scale 1:100,000 and their positions were later digitised and later again corrected, when a new topographic reference was introduced around year 2000. From 1993 onwards, GPS was used to determine sample positions.

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.

Scree samples have been collected when both stream sediments and soil samples have proven impossible. The available data package contains 49 samples. Values below detection limit, is given as negative values.

The chorus shows drinking water areas in the categories: · Areas with drinking water interests (OD) · Areas of special drinking water interest (OSD) Areas of special drinking water interest (OSD) have the highest priority for drinking water. Within these areas (as well as in extraction catchments for public waterworks), the fee-financed groundwater mapping is carried out in accordance with the Environmental Objectives Act, § 8a. It is also within these areas that action plans are drawn up according to Chapter 3 of the Water Supply Act.

The digital geological map shows the surface geology. The map is a result of the systematic geological mapping of Denmark. The map is digitized from maps originating from fieldwork, where sediment samples are collected at 1m depth using a hand auger with a sample spacing of 100 - 200 m. This version 6 from 2021 classifies 91 % of Denmark's area. The map is supplemented in an ongoing process. The legend shows 82 different sediment types. The map is published in GEUS report 2021/68, where further information is available in Danish.

This repository contains maps of the thickness of late glacial and Holocene deposits in the Danish sea area, prepared as a basis for planning offshore wind. These are unconsolidated sediments that have not been overrun by the ice sheets of the ice ages, and therefore may have low geotechnical strength parameters. This is a large-scale and very general mapping, and no detailed interpretation of the distribution of sand and clay/mud/silt, respectively, has been made. In relation to the foundations of offshore wind turbines, sandy deposits will typically not pose a challenge, while soft deposits of clay, mud and silt in large thicknesses are assumed to pose foundation challenges. In addition to separate maps of the thickness of late glacial and Holocene deposits, a map of the total thickness of these two units has also been prepared, which thus constitutes a map of the total thickness of potentially soft sediments. Finally, the thickness of potentially soft sediments is used to divide the Danish sea area into categories in relation to the probability of larger thicknesses of soft sediments that could give rise to foundation challenges. Other maps are the thickness of potentially soft glacial lake sediments in the North Sea, the depth to the Pre-Quaternary surface in the waters around Bornholm, as well as the depth to the base of the Holocene deposits and the depth to the base of the late glacial deposits/top of the glacial deposits in the Danish sea area. As a supplement to the maps, a number of themes show where the late glacial and Holocene deposits are primarily expected to consist of sandy sediments. In addition, a number of themes show the Danish exclusive economic zone (EEZ), the location of conceptual geological models that can be seen in the overall report, all interpreted seismic lines, areas with near-surface gas in the sediments, interpreted distribution of the Palaeo-Elbe Valley in the North Sea, distribution of the Weichsel ice and ice-affected sediments in the North Sea, buried valleys (Prins & Andresen 2019; van der Vegt et al. 2012; Ottesen et al. 2020; Kirkham et al. 2024; Sandersen & Jørgensen 2016), structural elements (Al Hseinat & Hübscher 2017; Jensen et al. 2002), ice margin lines (Lange 1984; Kjær et al. 2003; Pedersen 2005; Phillips et al. 2018, 2022; Kirkham et al. 2024; Szuman et al. 2024; Pedersen & Boldreel 2017). The data basis for the work has primarily been new and existing near-surface seismic data and vibrocore drilling. The mapping was carried out for the Danish Energy Agency by GEUS, and is intended to support the development of offshore wind. The results, together with a sensitivity mapping of natural and environmental parameters, initiated by the Danish Energy Agency, are to be included in an overall assessment of suitable areas for offshore wind in Denmark. The documentation includes appendices: Better geological data for developing offshore wind - Overall geological mapping of the Danish sea area for the Danish Energy Agency. Appendix report. Geological Survey of Denmark and Greenland Report 2025/29. Vangkilde-Pedersen, T., Christensen, N., Nørgaard-Pedersen, N., Allaart, L., Bennike, O., Leth, J.O., Winther, L.H., Sandersen, P.B.E., Prins, L.T., Singhroha, S. & Pérez, L.F. 2025. Better geological data for developing offshore wind. Overall geological mapping of the Danish sea area for the Danish Energy Agency. Geological Survey of Denmark and Greenland Report 2025/29. Prins, L.T. & Andresen, K.J. 2019: Buried late Quaternary channel systems in the Danish North Sea – genesis and geological evolution. Quaternary Science Reviews 223, 105943. https://doi.org/10.1016/j.quascirev.2019.105943 van der Vegt, P., Janszen, A. & Moscariello, A. 2012: Tunnel valleys: Current knowledge and future perspectives. In: Huuse, M., Redfern, J., Le Heron, D.P., Dixon, R., Moscariello, A. & Craig, J. (eds): Glaciogenic reservoirs and hydrocarbon systems. Geological Society, Special Publications, London 368, 75–97. https://doi.org/10.1144/sp368.13 Ottesen, D., Stewart, M., Brönner, M. & Batchelor, C.L. 2020: Tunnel valleys of the central and northern North Sea (56◦N to 62◦N): distribution and characteristics. Marine Geology 425, 106199. https://doi.org/10.1016/j.margeo.2020.106199 Kirkham, J.D., Hogan, K.A., Larter, R.D., Self, E., Games, K., Huuse, M., Stewart, M.A., Ottesen, D., Le Heron, D.P., Lawrence, A., Kane, I., Arnold, N.S. & Dowdeswell, J.A. 2024: The infill of tunnel valleys in the central North Sea: Implications for sedimentary processes, geohazards, and ice-sheet dynamics. Marine Geology 467, 107185. https://doi.org/10.1016/j.margeo.2023.107185 Sandersen, P.B.E. & Jørgensen, F. 2016: Kortlægning af begravede dale i Danmark. Opdatering 2015. GEUS Særudgave, december 2016, bind 1 og 2. https://www.begravededale.dk/PDF_2015/091116_Rapport_Begravede_dale_BIND_1_Endelig_udgave_Low_res.pdf Al Hseinat, M. & Hubscher, C. 2017: Late Cretaceous to recent tectonic evolution of the north German Basin and the transition zone to the Baltic Shield/Southwest Baltic Sea. Tectonophysics 708, 28–55. https://doi.org/10.1016/j.tecto.2017.04.021 Jensen, J.B. & Bennike, O. 2022: Geological Screening of Kriegers Flak North and South. Geological seabed screening in relation to possible location of windfarm areas. GEUS Rapport 2022/2. https://doi.org/10.22008/gpub/34637 Lange, D., 1984: Geologische Untersuchungen an spätglazialen und holozänen Sedimenten der Lübecker und Mecklenburger Bucht. Unveröffentlichte Dissertation (B), Institut für Meereskunde Warnemünde, 166 S. Kjær, K.H., Houmark-Nielsen, M., Richardt, N. 2003: Ice-flow patterns and dispersal of erratics at the southwestern margin of the last Scandinavian ice sheet: signature of palaeo-ice streams. Boreas 32: 130–148. https://doi.org/10.1111/j.1502-3885.2003.tb01434.x Pedersen, S.A.S. 2005: Structural analysis of the Rubjerg Knude Glaciotectonic Complex, Vendsyssel, northern Denmark. Geological Survey of Denmark and Greenland Bulletin 8, 192 pp. https://doi.org/10.34194/geusb.v8.5253 Phillips, E., Cotterill, C., Johnson, K., Crombie, K., James, L., Carr, S. & Ruiter, A. 2018: Large-scale glacitectonic deformation in response to active ice sheet retreat across Dogger Bank (southern central North Sea) during the Last Glacial Maximum. Quaternary Science Reviews 179, 24-47. https://doi.org/10.1016/j.quascirev.2017.11.001 Phillips, E., Johnson, K., Ellen, R., Plenderleith, G., Dove, D., Carter, G., Dakin, N. & Cotterill, C. 2022: Glacitectonic evidence of ice sheet interaction and retreat across the western part of Dogger Bank (North Sea) during the Last Glaciation. Proceedings of the Geologists' Association 133, 87-111. https://doi.org/10.1016/j.pgeola.2021.11.005 Szuman, I., Kalita, J. Z., Diemont, C. R., Livingstone, S. J., Clark, C. D., and Margold, M. 2024: Reconstructing dynamics of the Baltic Ice Stream Complex during deglaciation of the Last Scandinavian Ice Sheet, The Cryosphere, 18, 2407–2428. https://doi.org/10.5194/tc-18-2407-2024. Pedersen, S.A.S. & Boldreel, L.O. 2017: Glaciotectonic deformations in the Jammerbugt and glaciodynamic development in the eastern North Sea. Journal of Quaternary Science 32, 183–195. https://doi.org/10.1002/jqs.2887