GEUS Dataverse
Not a member yet
    699 research outputs found

    PROMICE-2022 Ice Mask QGIS Bundle

    No full text
    PROMICE-2022 Ice Mask QGIS Bundle This dataset contains the PROMICE-2022 Ice Mask packaged as a ready-to-use QGIS project. The zipped bundle includes the QGIS project file and all associated vector/raster layers and styles, so you can open the project directly and view the pre-styled layers in a GIS environment. Contents QGIS project file (.qgz) with preconfigured layouts Raster and vector layers of the PROMICE-2022 ice mask WMS layer for the topographic map of Greenland WMS layer for SPOT 6/7 imagery WMS layers for Sentinel-2 imagery (2022) Layer style files README with usage notes Brief description The PROMICE-2022 Ice Mask provides an updated delineation of ice/non-ice areas of the Greenland Ice Sheet from August 2022. It is intended for visualization, mapping, and as an input layer for further geospatial analysis in QGIS or other GIS software. For detailed methodology, processing steps, validation, and full technical documentation, please consult the primary repository (link below). Citation Please cite this dataset as: Luetzenburg, Gregor; Korsgaard, Niels J.; Deichmann, Anna K.; Socher, Tobias; Gleie, Karin; Scharffenberger, Thomas; Fahrner, Dominik; Nielsen, Eva B.; How, Penelope; Bjørk, Anders A.; Kjeldsen, Kristian K.; Ahlstrøm, Andreas P.; Fausto, Robert S., 2025, PROMICE-2022 Ice Mask, GEUS Dataverse. DOI: https://doi.org/10.22008/FK2/O8CLRE How to use Download and unzip the package. Open the included .qgz QGIS project in QGIS (recommended QGIS 3.## or newer). Related Datasets PROMICE-2022 Ice Mask (Master Dataset) This is the dataset containing the updated PROMICE-2022 ice mask. The QGIS bundle provided here includes this dataset but users seeking the raw data files, metadata, and versioning should refer to the master record. Access it here: https://doi.org/10.22008/FK2/O8CLRE PROMICE-2022 Ice Mask Sentinel-2 RGB Mosaic (August 2022) This dataset provides the Greenland-wide Sentinel-2 RGB mosaic used as the primary visual reference during ice mask delineation. In the QGIS project, the Sentinel-2 images from 2022 are included as a WMS layer, but users who need the underlying mosaic files should reference the dedicated dataset. Access it here: https://doi.org/10.22008/FK2/OUKHBW </p

    Data from "New method for assessing the likelihood of nitrate-containing groundwater in Danish carbonate aquifers"

    No full text
    Collection of raster files in tiff format

    DK-model Climate input (.dfs2 files)

    No full text
    The .zip file contains climate input data, in .dfs2 file format, for the period 2/1/1989 - 31/12/2024, used in DK-model simulations

    Snow cover fraction on land fromt MODIS at the three GEM sites

    No full text
    Snow cover fraction on ground from MODIS. Gaps due to cloud cover are filled using the last available observation. A description paper is in preparation.Please contact the author directly with any questions

    Data for "Nitrate-containing groundwater in Denmark: Exploratory data analysis at the national scale"

    No full text
    The three data-products included in this repository were created in relation to the project Nret24 (“Forbedret kvælstof-retentionskortlægning til ny reguleringsmodel af landbruget”). They are reported in detail in the GEUS rapport 20025/8 "Nitrate-containing groundwater in Denmark: Exploratory data analysis at the national scale" (https://doi.org/10.22008/gpub/34765). Content description of the three data-products is available in Read_me.txt. Details on data-sources and data-processing are provided in the report

    Supplementary files for: Assessment of formation brine salinity, pressure and temperature in selected structures in eastern Denmark and implications for CO2 storage

    No full text
    CO2 storage presents new risks and challenges, where the properties of formation water play an important role. These challenges include reduced injectivity and storage capacity due to salt precipitation, viscous fingering caused by viscosity contrasts between CO2 and brine and diminished CO2 solubility in formation waters. Understanding these factors and developing predictive models for pressure distribution are essential for successful CO2 storage projects. This study presents salinity (Cl and total dissolved solids), density, temperature, pressure, halite (NaCl) saturation, CO2 solubility and viscosity of formation waters across five CO2 storage sites in Denmark (Stenlille, Gassum, Rødby, Lisa and Inez), covering eight reservoirs (one in the Frederikshavn Formation, four in the Gassum Formation and three in the Bunter Sandstone and Skagerrak Formations). Salinity assessments are based on existing brine data or, where unavailable, a reference salinity model developed from a water chemistry database with 77 analyses from 28 wells in the Danish Basin and adjacent regions. The model was created using Partial Least Squares regression, accounting for local geological developments and subsurface salts. We report high chloride levels (182 000–202 000 mg/L) and densities (1.21–1.23 kg/L) in the Bunter Sandstone and Skagerrak Formations, while the Gassum and Frederikshavn Formations are undersaturated with halite, exhibiting lower chloride levels (99 000–148 000 mg/L) and densities (1.11–1.17 kg/L). These differences suggest a higher risk of mineral precipitation due to brine evaporation in dry CO2, and a higher risk of density override due to significant density contrast, which will hamper filling efficiency in older reservoirs. Modelling shows that CO2 solubility reaches 33.9 g CO2/L, with a 37% reduction due to chemical and pressure–temperature variations. Conceptual fluid flow modelling is recommended to further assess brine–rock–CO2 interactions. The salinity model has implications for geothermal reservoir assessment and can be applied regionally

    SENTINEL-3B - SICEv3.0 Greenland snow and ice broadband albedo and surface optical properties from Sentinel-3’s OLCI at 500 m resolution

    No full text
    S3B - SICE v3.0. 0.5 km Arctic land ice SSA, broadband albedo and spectral reflectanc

    Data for "Holocene history of a southwest Greenland fjord: Exceptional Atlantic water influence under minimum ice-sheet extent"

    No full text
    Datasets presented in Kvorning, Heikkilä, Pearce, Seidenkrantz, Simpson, Meire, Kuijpers, Larsen, Ribeiro (2025), Holocene history of a southwest Greenland fjord: Exceptional Atlantic water influence under minimum ice-sheet extent, Communications Earth and Environment, include data on age, grain-size distribution, total organic carbon, total nitrogen, stable isotopes of C and N, biogenic silica, and dinoflagellate cyst assemblages from sediment core SA13-ST6-40G, and dinoflagellate cyst assemblage data from sediment core SA13-ST6-36R and sediment trap GF1

    Replication Data for: A Probabilistic Approach to Establishing the Resistivity-Lithology Relationship using Co-located tTEM and Borehole Data

    No full text
    The datasets DAUGAARD.h5 and ESBJERG_ALL.h5 contain observed towed transient electromagnetic (tTEM) data from Daugaard and Esbjerg, Denmark, respectively, along with associated survey geometry. For each measurement point, UTMX, UTMY, ELEVATION, and LINE information is stored and can be used for spatial plotting and analysis. The borehole information (DAU01, DAU02, and DAU04) contains lithological descriptions for three boreholes in Daugaard, Denmark. Both the geophysical datasets and borehole information are used to establish resistivity-lithology relationships in the paper: A Probabilistic Approach to Establishing the Resistivity-Lithology Relationship using Co-located tTEM and Borehole Data

    Geological map of Greenland 1:100 000 Quinisut 77 V.2 Nord

    No full text
    Geology is based on field work by Peter R. Dawes in 1971, 1975 and 1978, the latter year with Allen P. Nutman. Compiled with photointerpretation 1988&ndash;89, with local revision based on field work in 2001. Apart from northernmost Kangerlussuaq (Inglefield Bredning), the coast was surveyed by boat with sporadic foot traverses, aided by helicopter in 1978 and 2001. Geology of Qaqujaarsuaq (Smithson Bjerge) is based on simplification of the 1:50 000 map by Allen P. Nutman (1984). GIS compilation: Katja T. Walentin, Samuel P. Jackson, Eva Willerslev and Mette S. J&oslash;rgensen. Cross sections: Martin S&oslash;nderholm; Smithson Bjerge section is based on Nutman (1984). Editorial handling: Thomas F. Kokfelt and Martin S&oslash;nderholm. 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&ndash;1987 and Sentinel 2 satellite scenes 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): H&oslash;jdemodel Gr&oslash;nland (https://dataforsyningen.dk/data/4780, accessed September 2023). Ground exposed by ice retreat since initial compilation in 1988&ndash;1989 is identified in the legend. 1949 ice margins are from Geodetic Institute maps. Ice margins recorded during expeditions by Robert E. Peary in 1892 and Lauge Koch in 1922 are approximate. Ice altimetry and thickness are based on data from Morlighem et al. (2017), bathymetry is from Morlighem et al. (2022). Authorised place names are from Oqaasileriffik (The Language Secretariat of Greenland), with supplementary names from Laursen (1972). Projection: WGS 84 UTM Zone 20N. Copyright &copy; 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 Laursen, D. 1972: The place names of North Greenland. Meddelelser om Gr&oslash;nland 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&ndash;11061. https://doi.org10.1002/2017GL074954 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). Nutman, A.P. 1984: Precambrian gneisses and intrusive anorthosite of Smithson Bjerge, Thule district, North-West Greenland. Rapport Gr&oslash;nlands Geologiske Unders&oslash;gelse 119, 31 pp. + plate. https://doi:10.34194/rapggu.v119.7849 Thomassen, B. &amp; Krebs, J.D. 2004: Mineral exploration of selected targets in the Qaanaaq region, North-West Greenland: follow-up on Qaanaaq 2001. Danmarks og Gr&oslash;nlands Geologiske Unders&oslash;gelse Rapport 2004/42, 64 pp. https://doi.org/10.22008/gpub/25622 Thomassen, B., Krebs, J.D. &amp; Dawes, P.R. 2002: Qaanaaq 2001: mineral exploration in the Olrik Fjord &ndash; Kap Alexander region, North-West Greenland. Danmarks og Gr&oslash;nlands Geologiske Unders&oslash;gelse Rapport 2002/86, 72 pp. + map. https://doi.org/10.22008/gpub/18491 </p

    0

    full texts

    699

    metadata records
    Updated in last 30 days.
    GEUS Dataverse
    Access Repository Dashboard
    Do you manage Open Research Online? Become a CORE Member to access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard! 👇