GEUS Dataverse
Not a member yet
699 research outputs found
Sort by
Geological map of Greenland 1:100 000, Svartenhuk 71 V.1 Nord
Geological map of Greenland 1:100 000, Svartenhuk 71 V.1 Nor
Gravitational mass balance of Greenland 2003 to present
Greenland mass balance (GMB) product for the Greenland Ice Sheet from GRACE(-FO) satellite gravimetry (CSR RL06.3) by DTU Space, computed with the mass point inversion method. When this data gets used the below citation should be used, even if the data is updated.
Please cite: Barletta, Valentina Roberta; Sørensen, Louise Sandberg; Simonsen, Sebastian Bjerregaard; Forsberg, René (2020). Gravitational mass balance of Greenland 2003 to present v3.0. Technical University of Denmark. Dataset.
https://doi.org/10.11583/DTU.12866579.v5 </a
Geological map of Greenland 1:100 000 Qaanaaq 77 V.1 Syd
Geology is based on field work by Peter R. Dawes in 1971, 1974, 1975 and 1978. Compiled with photointerpretation 1988–89, with local revision based on field work in 2001. The coast was surveyed by boat with sporadic foot traverses, aided by helicopter in 1978 and 2001.
GIS compilation: Katja T. Walentin, Samuel P. Jackson and Eva Willerslev.
Cross section: Martin Sønderholm.
Editorial handling: Thomas F. Kokfelt and Martin Sønderholm.
Reviewed by John Grocott (Durham University, United Kingdom) and Marc R. St-Onge (Geological Survey of Canada).
Detailed information on the map units is available in the GEUS Greenland Intrusive and Stratigraphic Database using the GU-codes shown in brackets in the legend (https://doi.org/10.22008/FK2/F9MBNJ). Information on mineral occurrences is available in the Greenland Mineral Resources Portal (https://www.greenmin.gl).
Topographic base: Geodetic Institute maps at 1:200 000 from 1954 with major revision of the ice margin and glaciers based on 1:150 000 aerial photographs from 1985–1987 and Sentinel 2 satellite imagery from 2019. All heights are in metres. Additional lake heights are from The Danish Agency for Data Supply and Infrastructure (now The Danish Agency for Climate Data): Højdemodel Grønland (https://dataforsyningen.dk/data/4780, accessed September 2023). Ground exposed by ice retreat since initial compilation in 1988–1989 is identified in the legend. 1949 ice margins are from Geodetic Institute maps.
Ice margins recorded in 1922 during Lauge Koch's expedition are approximate. Additional ice margins for Berlingske Bræ after Dawes & van As (2010). Ice altimetry and thickness are based on data from Morlighem et al. (2017), bathymetry is from Morlighem et al. (2022). Landslides are modified from GEUS internal data; for methodology see Svennevig (2019). Authorised place names are from Oqaasileriffik (The Language Secretariat of Greenland), with supplementary names from Laursen (1972).
Projection: WGS 84 UTM Zone 20N.
Copyright © Geological Survey of Denmark and Greenland.
References:
Dawes, P.R. 1997: The Proterozoic Thule Supergroup, Greenland and Canada: history, lithostratigraphy and development. Geology of Greenland Survey Bulletin 174, 150 pp. https://doi.org/10.34194/ggub.v174.5025
Dawes, P.R. 2006: Explanatory notes to the Geological map of Greenland, 1:500 000, Thule, Sheet 5. Geological Survey of Denmark and Greenland Map Series 2, 97 pp. + map sheet. https://doi.org/10.34194/geusm.v2.4614
Dawes, P.R. & van As, D. 2010: An advancing glacier in a recessive ice regime: Berlingske Bræ, North-West Greenland. Geological Survey of Denmark and Greenland Bulletin 20, 79–82. https://doi.org/10.34194/geusb.v20.4986
Laursen, D. 1972: The place names of North Greenland. Meddelelser om Grønland 180(2), 443 pp. + 18 plates.
Morlighem, M. et al. 2017: BedMachine v3 [Surface; Thickness]: Complete bed topography and ocean bathymetry mapping of Greenland from multibeam echo sounding combined with mass conservation. Geophysical Research Letters 44, 11051–11061. https://doi.org/10.1002/2017GL074954
Morlighem, M. et al. 2022: IceBridge BedMachine Greenland, Version 5 [Bed]. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/GMEVBWFLWA7X (accessed January 2024).
Svennevig, K. 2019: Preliminary landslide mapping in Greenland. Geological Survey of Denmark and Greenland Bulletin 43, e2019430207. https://doi.org/10.34194/GEUSB-201943-02-07
Thomassen, B., Krebs, J.D. & Dawes, P.R. 2002: Qaanaaq 2001: mineral exploration in the Olrik Fjord – Kap Alexander region, North-West Greenland. Danmarks og Grønlands Geologiske Undersøgelse Rapport 2002/86, 72 pp. + map. https://doi.org/10.22008/gpub/18491<br
Glacier inventory Zackenberg
Glacier outlines manually mapped from a Sentinel-2 image from August 8th, 2024. The dataset provides a glacier inventory from an area of interest near Zackenberg Research station
Replication Data for: A data set on the chemistry and microbiology of meltwater rivers in Southwest Greenland (2017 - 2021)
This data set is in presented in GEUS Bulletin data article:
A data set on the chemistry and microbiology of meltwater rivers in Southwest Greenland (2017 – 2021), by Moedt et al. - please cite the paper and the data appropiately.
The data originates from water samples taken from well-mixed river sites (n = 28), which were analysed for physical, chemical, and microbiological parameters.
Parameters include:
Sediment, ions, trace metals, radio isotopes, water isotopes, counts of total heterotrophic bacteria, coliform bacteria and Enterobacteriaceae, cyanotoxins, and geographical parameters
Greenland Ice-Marginal Lake Inventory annual time-series Edition 1
This ice-marginal lake dataset is a series of annual inventories, mapping the extent and presence of lakes across Greenland that share a margin with the Greenland Ice Sheet and/or the surrounding periphery glaciers. The annual inventories provide a comprehensive record of all identified ice marginal lakes, which have been detected using remote sensing techniques.
The inventory series was created to better understand the impact of ice-marginal lake change on the future sea level budget and the terrestrial and marine landscapes of Greenland, such as its ecosystems and human activities. The dataset is a complete inventory series of Greenland, with no absent data.
Terms of use
If the data are presented or used to support results of any kind, please include an acknowledgement and references to the applicable publications:
How, P. et al. (2025) "Greenland Ice-Marginal Lake Inventory annual time-series Edition 1". GEUS Dataverse. https://doi.org/10.22008/FK2/MBKW9N
How, P. et al. (In Review) "Greenland ice-marginal lake inventory series from 2016 to 2023". Earth Syst. Sci. Data Discuss. https://doi.org/10.5194/essd-2025-18
How, P. (In Review) "GrIML: A Python package for investigating Greenland's ice-marginal lakes under a changing climate". J. Open Source Software. https://joss.theoj.org/papers/a2e10775df44b89f26b0ac9dbf8bc9e3
How, P. et al. (2021) "Greenland-wide inventory of ice marginal lakes using a multi-method approach". Sci. Rep. 11, 4481. https://doi.org/10.1038/s41598-021-83509-1
Detailed description
The detected lakes are presented as polygon vector features in GeoPackage format (.gpkg), with coordinates provided in the WGS NSIDC Sea Ice Polar Stereographic North (EPSG:3413) projected coordinate system. Ice-marginal lakes were identified using three independent remote sensing methods: 1) multi-temporal backscatter classification from Sentinel-1 synthetic aperture radar imagery; 2) multi-spectral indices classification from Sentinel-2 optical imagery; and 3) sink detection from the ArcticDEM (v3). All data were compiled and filtered in a semi-automated approach, using a modified version of the MEaSUREs GIMP ice mask (https://nsidc.org/data/NSIDC-0714/versions/1) to clip the dataset to within 1 km of the ice margin. Each detected lake was then verified manually. The methodology is open-source and provided at https://github.com/GEUS-Glaciology-and-Climate/GrIML for full reproducibility.
Please consult the dataset readme provided with this dataset for further information on the associated metadata.
Acknowledgements
The inventory series of ice-marginal lakes in Greenland has been produced as part of the European Space Agency (ESA) Living Planet Fellowship project "Examining GReenland’s Ice Marginal Lakes under a changing climate (GrIML)", which is a follow-on effort to the 2017 inventory of ice-marginal lakes created under the European Space Agency (ESA) Climate Change Initiative (CCI) in Option 6 of the Glaciers_cci project (4000109873/14/I-NB). Upkeep and continuation of the inventory series is supported by PROMICE, funded by the Geological Survey of Denmark and Greenland (GEUS) and the Danish Ministry of Climate, Energy and Utilities under the Danish Cooperation for Environment in the Arctic (DANCEA), conducted in collaboration with DTU Space (Technical University of Denmark) and Asiaq Greenland Survey
DK7
The .zip files contains simulated recharge from DK-model HIP 100m, as the MIKE SHE resultfile: .._2DUZ_AllCells.dfs2, with daily timestep, unit mm/day, for the period 1989 – 2024. Large files (>16GB) are packed with 7-zip into several .zip file, please unpack them using 7-zip in order to get the singe .dfs2 file
The seismological monitoring part of the Danish landslides project
This dataverse provide station metadata for the seismological monitoring during the project Danish Landslides, initiated in 2025. The seismological monitoring focuses on the three Danish locations; Røsnæs, Møn and Stevns. The instruments include short period and broad band sensors, they are all three component and they all sample with a rate of 200 Hz
Greenland Thermal Springs Database
This dataset provides a comprehensive record of thermal springs across Greenland’s ice-free margins. Thermal springs have temperatures ranging from near freezing to over 60°C. The inventory consolidates records from over a century of scientific literature, field observations, Greenlandic placenames, satellite imagery, and geological maps.
The database contains documented spring localities, each with detailed metadata. Attributes include name, coordinates, geological setting, source type, in-situ visit records, contributor, source DOI if possible, and a confidence score reflecting location accuracy. For springs identified through linguistic sources, the language root, original term, and translation are included. Where available, in-situ measurements of temperature, salinity, pH, oxygen content, and discharge are recorded.
Coordinates are provided in latitude and longitude and converted to NSIDC Sea Ice Polar Stereographic North (EPSG:3413). Positional uncertainty is estimated per site, with historical records generally being less precise. Elevations are interpolated from ArcticDEM v3, lithology from the Geological Map of Greenland 2.0, and 2 m annual mean air temperature from CARRA reanalysis.
The dataset supports interdisciplinary research, conservation planning, and monitoring of Greenland’s thermal springs. It is a living resource, with procedures provided for adding new records or updating existing ones.
Add new enteries:
To submit new entries to the database, please use the following form: Submit new entries
Terms of use:
Please acknowledge the dataset and cite it in any use or publication:
Nielsen et al. (2025) "Review of Greenland thermal springs". Authorea. [preprint]. DOI: 10.22541/au.175683791.19881119/v1
Acknowledgements
The authors gratefully acknowledge Ronnie N. Glud, Michelle Citterio, Ole Bennike, Flemming Christiansen, and Stuart Watt for their valuable contributions to the development of the database through constructive discussions. E.B.N. and W.C. were supported by the Independent Research Fund Denmark project 3103-00029B. M.K. acknowledges the Carlsberg Foundation and the Independent Research Fund Denmark for supporting an expedition to explore hot springs on Liverpool, Land and Blosseville Coast in 2003, and the Leister Foundation and Christiane Leister for supporting his hot springs work on East and South Greenland during the Leister Go East 2023 Expedition; Hans Kristian Scoresby Hammeken and members of the Leister Go East 2023 expedition are thanked for their excellent field assistance. M.K. also acknowledges the Independent Research Fund Denmark for supporting his work in the Ikka Fjord, where Jesper Kikkenborg, Jens Erik Larsen, Erik Trampe and the Arctic Command at the Naval Base Grønnedal provided excellent field assistance. R.M.K. gratefully acknowledges financial support from the Carlsberg Foundation, the Danish Research Agency, and the Commission for Scientific Research in Greenland. K.S.C. and R.M.K. also acknowledge support from the Faculty of Science at the University of Copenhagen for long-term support of research activities at Arctic Station in Qeqertarsuaq.</p
Supplementary files for: The limitations of nitrate-sensitive zoning for groundwater protection from pesticides in Denmark
Pesticides and degradation products are a major challenge for groundwater management in Europe, and in Denmark where drinking water relies entirely on groundwater. To protect drinking water resources, local Danish authorities must take groundwater-protective measures in areas designated as sensitive to pollution; however, official zonation for pesticides is lacking. Nitrate-sensitive groundwater abstraction areas have been used instead. The goal of our study was to test the appropriateness of this groundwater protection strategy. We used Køge municipality (Denmark) as a focus area and tested how our findings upscale to the national level. The data for Køge municipality included 1070 individual groundwater samples, analysed for at least one of 366 pesticide compounds during the period 2012–2022, which were aggregated at the well-screen level by the median. Four pesticide compounds (2,6-dichlorobenzamide (BAM), desphenylchloridazon (DPC), N,N-dimethylsulphamide (DMS), 1,2,4-triazole) and three pesticide groups (phenoxyalcanoic acids, triazines and dimethachlor and its metabolites) were found with the highest detection frequency in the study area. We found that groundwater pollution with pesticide compounds was not limited to nitrate-sensitive areas in Køge municipality or in Denmark as a whole. Therefore, nitrate-sensitive areas can only be used partially for identifying pesticide-sensitive groundwater abstraction areas. The management implication is that placing protective measures only within nitrate-sensitive areas would be insufficient to fully address the risk of future groundwater pesticide pollution. We identified knowledge gaps and discussed a potential way forward with a more integrated management of groundwater protection in Denmark