Articles | Volume 16, issue 2
https://doi.org/10.5194/essd-16-985-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-985-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
21 Feb 2024
Data description paper |
| 21 Feb 2024
| 21 Feb 2024
High-resolution digital outcrop model of the faults, fractures, and stratigraphy of the Agardhfjellet Formation cap rock shales at Konusdalen West, central Spitsbergen
Peter Betlem
CORRESPONDING AUTHOR
Department of Arctic Geology, The University Centre in Svalbard, P.O. Box 156, 9171 Longyearbyen, Svalbard, Norway
Department of Geosciences, University of Oslo, Sem Sælands vei 1, 0371 Oslo, Norway
Thomas Birchall
Department of Arctic Geology, The University Centre in Svalbard, P.O. Box 156, 9171 Longyearbyen, Svalbard, Norway
Gareth Lord
Department of Arctic Geology, The University Centre in Svalbard, P.O. Box 156, 9171 Longyearbyen, Svalbard, Norway
Simon Oldfield
Geo, Maglebjergvej 1, 2800 Kgs. Lyngby, Denmark
DTU Offshore, Danmarks Tekniske Universitet, 2800 Kgs. Lyngby, Denmark
School of Earth & Environment, University of Leeds, Leeds, United Kingdom
Lise Nakken
Department of Arctic Geology, The University Centre in Svalbard, P.O. Box 156, 9171 Longyearbyen, Svalbard, Norway
Department of Geosciences, University of Oslo, Sem Sælands vei 1, 0371 Oslo, Norway
Department of Earth Sciences, Royal Holloway, University of London, Egham Hill, Egham TW20 0EX, United Kingdom
Kei Ogata
Department of Earth, Environmental and Resource Sciences, Università degli Studi di Napoli Federico II, Via vicinale cupa Cintia 21, Complesso Universitario di Monte S. Angelo, Edificio L, 80126 Naples, Italy
Kim Senger
Department of Arctic Geology, The University Centre in Svalbard, P.O. Box 156, 9171 Longyearbyen, Svalbard, Norway
Related authors
No articles found.
Aleksandra Smyrak-Sikora, Peter Betlem, Victoria S. Engelschiøn, William J. Foster, Sten-Andreas Grundvåg, Mads E. Jelby, Morgan T. Jones, Grace E. Shephard, Kasia K. Śliwińska, Madeleine L Vickers, Valentin Zuchuat, Lars Eivind Augland, Jan Inge Faleide, Jennifer M. Galloway, William Helland-Hansen, Maria A. Jensen, Erik P. Johannessen, Maayke Koevoets, Denise Kulhanek, Gareth S. Lord, Tereza Mosociova, Snorre Olaussen, Sverre Planke, Gregory D. Price, Lars Stemmerik, and Kim Senger
EGUsphere, https://doi.org/10.5194/egusphere-2024-3912, https://doi.org/10.5194/egusphere-2024-3912, 2025
This preprint is open for discussion and under review for Climate of the Past (CP).
Short summary
Short summary
In this review article we present Svalbard’s unique geological archive, revealing its climate history over the last 540 million years. We uncover how this Arctic region recorded key global events, including end Permian mass extinction, and climate crises like the Paleocene-Eocene Thermal Maximum. The overall climate trend recorded in sedimentary successions in Svalbard is discussed in context of global climate fluctuations and continuous drift of Svalbard from near equator to Arctic latitudes.
Kim Senger, Grace Shephard, Fenna Ammerlaan, Owen Anfinson, Pascal Audet, Bernard Coakley, Victoria Ershova, Jan Inge Faleide, Sten-Andreas Grundvåg, Rafael Kenji Horota, Karthik Iyer, Julian Janocha, Morgan Jones, Alexander Minakov, Margaret Odlum, Anna Sartell, Andrew Schaeffer, Daniel Stockli, Marie Annette Vander Kloet, and Carmen Gaina
Geosci. Commun., 7, 267–295, https://doi.org/10.5194/gc-7-267-2024, https://doi.org/10.5194/gc-7-267-2024, 2024
Short summary
Short summary
The article describes a course that we have developed at the University Centre in Svalbard that covers many aspects of Arctic geology. The students experience this course through a wide range of lecturers, focussing both on the small and larger scales and covering many geoscientific disciplines.
Annelotte Weert, Kei Ogata, Francesco Vinci, Coen Leo, Giovanni Bertotti, Jerome Amory, and Stefano Tavani
Solid Earth, 15, 121–141, https://doi.org/10.5194/se-15-121-2024, https://doi.org/10.5194/se-15-121-2024, 2024
Short summary
Short summary
On the road to a sustainable planet, geothermal energy is considered one of the main substitutes when it comes to heating. The geological history of an area can have a major influence on the application of these geothermal systems, as demonstrated in the West Netherlands Basin. Here, multiple episodes of rifting and subsequent basin inversion have controlled the distribution of the reservoir rocks, thus influencing the locations where geothermal energy can be exploited.
Kim Senger, Denise Kulhanek, Morgan T. Jones, Aleksandra Smyrak-Sikora, Sverre Planke, Valentin Zuchuat, William J. Foster, Sten-Andreas Grundvåg, Henning Lorenz, Micha Ruhl, Kasia K. Sliwinska, Madeleine L. Vickers, and Weimu Xu
Sci. Dril., 32, 113–135, https://doi.org/10.5194/sd-32-113-2023, https://doi.org/10.5194/sd-32-113-2023, 2023
Short summary
Short summary
Geologists can decipher the past climates and thus better understand how future climate change may affect the Earth's complex systems. In this paper, we report on a workshop held in Longyearbyen, Svalbard, to better understand how rocks in Svalbard (an Arctic archipelago) can be used to quantify major climatic shifts recorded in the past.
Thomas Goelles, Tobias Hammer, Stefan Muckenhuber, Birgit Schlager, Jakob Abermann, Christian Bauer, Víctor J. Expósito Jiménez, Wolfgang Schöner, Markus Schratter, Benjamin Schrei, and Kim Senger
Geosci. Instrum. Method. Data Syst., 11, 247–261, https://doi.org/10.5194/gi-11-247-2022, https://doi.org/10.5194/gi-11-247-2022, 2022
Short summary
Short summary
We propose a newly developed modular MObile LIdar SENsor System (MOLISENS) to enable new applications for small industrial light detection and ranging (lidar) sensors. MOLISENS supports both monitoring of dynamic processes and mobile mapping applications. The mobile mapping application of MOLISENS has been tested under various conditions, and results are shown from two surveys in the Lurgrotte cave system in Austria and a glacier cave in Longyearbreen on Svalbard.
Michael John Welch, Mikael Lüthje, and Simon John Oldfield
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2022-22, https://doi.org/10.5194/gmd-2022-22, 2022
Preprint withdrawn
Short summary
Short summary
This code can build geologically realistic models of natural fracture networks by simulating the nucleation, growth and interaction of fractures based on geomechanical principles. It uses the algorithm of Welch et al. (2020) to generate more realistic models of large fracture networks than stochastic techniques. It can build either implicit fracture models, explicit DFNs, or both, and will have applications in engineering and fluid flow modelling, as well as in understanding fracture evolution.
Kim Senger, Peter Betlem, Sten-Andreas Grundvåg, Rafael Kenji Horota, Simon John Buckley, Aleksandra Smyrak-Sikora, Malte Michel Jochmann, Thomas Birchall, Julian Janocha, Kei Ogata, Lilith Kuckero, Rakul Maria Johannessen, Isabelle Lecomte, Sara Mollie Cohen, and Snorre Olaussen
Geosci. Commun., 4, 399–420, https://doi.org/10.5194/gc-4-399-2021, https://doi.org/10.5194/gc-4-399-2021, 2021
Short summary
Short summary
At UNIS, located at 78° N in Longyearbyen in Arctic Norway, we use digital outcrop models (DOMs) actively in a new course (
AG222 Integrated Geological Methods: From Outcrop To Geomodel) to solve authentic geoscientific challenges. DOMs are shared through the open-access Svalbox geoscientific portal, along with 360° imagery, subsurface data and published geoscientific data from Svalbard. Here we share experiences from the AG222 course and Svalbox, both before and during the Covid-19 pandemic.
Thomas Birchall, Malte Jochmann, Peter Betlem, Kim Senger, Andrew Hodson, and Snorre Olaussen
The Cryosphere Discuss., https://doi.org/10.5194/tc-2021-226, https://doi.org/10.5194/tc-2021-226, 2021
Preprint withdrawn
Short summary
Short summary
Svalbard has over a century of drilling history, though this historical data is largely overlooked nowadays. After inspecting this data, stored in local archives, we noticed the surprisingly common phenomenon of gas trapped below the permafrost. Methane is a potent greenhouse gas, and the Arctic is warming at unprecedented rates. The permafrost is the last barrier preventing this gas from escaping into the atmosphere and if it thaws it risks a feedback effect to the already warming climate.
Mikkel Toft Hornum, Andrew Jonathan Hodson, Søren Jessen, Victor Bense, and Kim Senger
The Cryosphere, 14, 4627–4651, https://doi.org/10.5194/tc-14-4627-2020, https://doi.org/10.5194/tc-14-4627-2020, 2020
Short summary
Short summary
In Arctic fjord valleys, considerable amounts of methane may be stored below the permafrost and escape directly to the atmosphere through springs. A new conceptual model of how such springs form and persist is presented and confirmed by numerical modelling experiments: in uplifted Arctic valleys, freezing pressure induced at the permafrost base can drive the flow of groundwater to the surface through vents in frozen ground. This deserves attention as an emission pathway for greenhouse gasses.
Andrew J. Hodson, Aga Nowak, Mikkel T. Hornum, Kim Senger, Kelly Redeker, Hanne H. Christiansen, Søren Jessen, Peter Betlem, Steve F. Thornton, Alexandra V. Turchyn, Snorre Olaussen, and Alina Marca
The Cryosphere, 14, 3829–3842, https://doi.org/10.5194/tc-14-3829-2020, https://doi.org/10.5194/tc-14-3829-2020, 2020
Short summary
Short summary
Methane stored below permafrost is an unknown quantity in the Arctic greenhouse gas budget. In coastal areas with rising sea levels, much of the methane seeps into the sea and is removed before it reaches the atmosphere. However, where land uplift outpaces rising sea levels, the former seabed freezes, pressurising methane-rich groundwater beneath, which then escapes via permafrost seepages called pingos. We describe this mechanism and the origins of the methane discharging from Svalbard pingos.
Related subject area
Domain: ESSD – Land | Subject: Geology and geochemistry
Integration by design: driving mineral system knowledge using multi-modal, collocated, scale-consistent characterisation
MUDA: dynamic geophysical and geochemical MUltiparametric DAtabase
A globally distributed dataset of coseismic landslide mapping via multi-source high-resolution remote sensing images
RER2023: the landslide inventory dataset of the May 2023 Emilia-Romagna event
A strontium isoscape of southwestern Australia and progress toward a national strontium isoscape
A field-based thickness measurement dataset of fallout pyroclastic deposits in the peri-volcanic areas of Campania (Italy): statistical combination of different predictions for spatial estimation of thickness
HOLSEA-NL: Holocene water level and sea-level indicator dataset for the Netherlands
The China Active Faults Database (CAFD) and its web system
A regolith lead isoscape of Australia
High-resolution digital elevation models and orthomosaics generated from historical aerial photographs (since the 1960s) of the Bale Mountains in Ethiopia
A global zircon U–Th–Pb geochronological database
Subsurface geological and geophysical data from the Po Plain and the northern Adriatic Sea (north Italy)
The secret life of garnets: a comprehensive, standardized dataset of garnet geochemical analyses integrating localities and petrogenesis
HR-GLDD: a globally distributed dataset using generalized deep learning (DL) for rapid landslide mapping on high-resolution (HR) satellite imagery
IESDB – the Iberian Evaporite Structure Database
Spectral Library of European Pegmatites, Pegmatite Minerals and Pegmatite Host-Rocks – the GREENPEG project database
The ITAlian rainfall-induced LandslIdes CAtalogue, an extensive and accurate spatio-temporal catalogue of rainfall-induced landslides in Italy
Digital soil mapping of lithium in Australia
A multi-dimensional dataset of Ordovician to Silurian graptolite specimens for virtual examination, global correlation, and shale gas exploration
A strontium isoscape of northern Australia
Valgarður: a database of the petrophysical, mineralogical, and chemical properties of Icelandic rocks
A geodatabase of historical landslide events occurring in the highly urbanized volcanic area of Campi Flegrei, Italy
Pan-Arctic soil element bioavailability estimations
Geomorphological landslide inventory map of the Daunia Apennines, southern Italy
A novel specimen-based mid-Paleozoic dataset of antiarch placoderms (the most basal jawed vertebrates)
A database of radiogenic Sr–Nd isotopes at the “three poles”
MOdern River archivEs of Particulate Organic Carbon: MOREPOC
The Active Faults of Eurasia Database (AFEAD): the ontology and design behind the continental-scale dataset
A strontium isoscape of inland southeastern Australia
A new digital lithological map of Italy at the 1:100 000 scale for geomechanical modelling
Retrogressive thaw slumps along the Qinghai–Tibet Engineering Corridor: a comprehensive inventory and their distribution characteristics
OCTOPUS database (v.2)
A national landslide inventory for Denmark
James R. Austin, Michael Gazley, Renee Birchall, Ben Patterson, Jessica Stromberg, Morgan Willams, Andreas Björk, Monica Le Gras, Tina D. Shelton, Courteney Dhnaram, Vladimir Lisitsin, Tobias Schlegel, Helen McFarlane, and John Walshe
Earth Syst. Sci. Data, 16, 5027–5067, https://doi.org/10.5194/essd-16-5027-2024, https://doi.org/10.5194/essd-16-5027-2024, 2024
Short summary
Short summary
Cloncurry METAL shifts the big-data paradigm in mineral exploration by developing a quantitative, fully integrated, multi-modal, scale-consistent methodology for mineral system characterisation. The data comprise collocated petrophysical–mineralogical–geochemical–structural–metasomatic characterisation of 23 deposits from a highly complex mineral system. This approach enables translation of the mineral system processes into physics, providing a framework for smarter geophysics-based exploration.
Marco Massa, Andrea Luca Rizzo, Davide Scafidi, Elisa Ferrari, Sara Lovati, Lucia Luzi, and MUDA working group
Earth Syst. Sci. Data, 16, 4843–4867, https://doi.org/10.5194/essd-16-4843-2024, https://doi.org/10.5194/essd-16-4843-2024, 2024
Short summary
Short summary
MUDA (geophysical and geochemical MUltiparametric DAtabase) is a new infrastructure of the National Institute of Geophysics and Volcanology serving geophysical and geochemical multiparametric data. MUDA collects information from different sensors, such as seismometers, accelerometers, hydrogeochemical sensors, meteorological stations and sensors for the flux of carbon dioxide and radon gas, with the aim of making correlations between seismic phenomena and variations in environmental parameters.
Chengyong Fang, Xuanmei Fan, Xin Wang, Lorenzo Nava, Hao Zhong, Xiujun Dong, Jixiao Qi, and Filippo Catani
Earth Syst. Sci. Data, 16, 4817–4842, https://doi.org/10.5194/essd-16-4817-2024, https://doi.org/10.5194/essd-16-4817-2024, 2024
Short summary
Short summary
In this study, we present the largest publicly available landslide dataset, Globally Distributed Coseismic Landslide Dataset (GDCLD), which includes multi-sensor high-resolution images from various locations around the world. We test GDCLD with seven advanced algorithms and show that it is effective in achieving reliable landslide mapping across different triggers and environments, with great potential in enhancing emergency response and disaster management.
Matteo Berti, Marco Pizziolo, Michele Scaroni, Mauro Generali, Vincenzo Critelli, Marco Mulas, Melissa Tondo, Francesco Lelli, Cecilia Fabbiani, Francesco Ronchetti, Giuseppe Ciccarese, Nicola Dal Seno, Elena Ioriatti, Rodolfo Rani, Alessandro Zuccarini, Tommaso Simonelli, and Alessandro Corsini
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-407, https://doi.org/10.5194/essd-2024-407, 2024
Revised manuscript accepted for ESSD
Short summary
Short summary
In May 2023, Emilia-Romagna, Italy, experienced heavy rainfall that led to severe flooding and initiated thousands of landslides on slopes thought to be stable. Collaborating with the Civil Protection Agency, our team created a detailed map documenting 80,997 affected areas. This comprehensive dataset is crucial for research on climate change and assists in planning and risk management by demonstrating how climate change can alter our understanding of landslide susceptibility.
Patrice de Caritat, Anthony Dosseto, and Florian Dux
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-352, https://doi.org/10.5194/essd-2024-352, 2024
Revised manuscript accepted for ESSD
Short summary
Short summary
This new, extensive dataset from southwestern Australia contributes considerable new data and knowledge to Australia’s strontium isotope coverage. The data are discussed in terms of the lithology and age of the source lithologies. This dataset will reduce northern-hemisphere bias in future global strontium isotope models. Other potential applications of the new data include mineralisation, hydrology, food tracing, dust provenancing, and historic migrations of people and animals.
Pooria Ebrahimi, Fabio Matano, Vincenzo Amato, Raffaele Mattera, and Germana Scepi
Earth Syst. Sci. Data, 16, 4161–4188, https://doi.org/10.5194/essd-16-4161-2024, https://doi.org/10.5194/essd-16-4161-2024, 2024
Short summary
Short summary
Fallout pyroclastic deposits cover hillslopes after explosive volcanic eruptions and strongly influence landscape evolution, hydrology, erosion, and slope stability processes. Accurate mapping of the spatial-thickness variations of these fallout pyroclastic deposits over large hillslope areas remains a knowledge gap. We attempt to bridge this gap by applying statistical techniques to a field-based thickness measurement dataset of fallout pyroclastic deposits.
Kim de Wit, Kim M. Cohen, and Roderik S. W. Van de Wal
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-271, https://doi.org/10.5194/essd-2024-271, 2024
Revised manuscript accepted for ESSD
Short summary
Short summary
In the Holocene, deltas and coastal plains developed due to relative sea level rise (RSLR). Past coastal and inland water levels are preserved in geological indicators, like basal peats. We present a data set of 712 Holocene water-level indicators from the Dutch coastal plain, relevant for studying RSLR and regional subsidence, compiled in HOLSEA workbook format. Our new, internally consistent, expanded documentation encourages multiple data uses and to report RSLR uncertainties transparently.
Xiyan Wu, Xiwei Xu, Guihua Yu, Junjie Ren, Xiaoping Yang, Guihua Chen, Chong Xu, Keping Du, Xiongnan Huang, Haibo Yang, Kang Li, and Haijian Hao
Earth Syst. Sci. Data, 16, 3391–3417, https://doi.org/10.5194/essd-16-3391-2024, https://doi.org/10.5194/essd-16-3391-2024, 2024
Short summary
Short summary
This study presents a national-scale database (1:4000 000) of active faults in China and its adjacent regions in tandem with an associated web-based query system. This database integrates regional-scale studies and surveys conducted over the past 2 decades (at reference scales from 1:250 000 to 1:50 000). Our system hosts this nation-scale database accessible through a Web Geographic Information System (GIS) application.
Candan U. Desem, Patrice de Caritat, Jon Woodhead, Roland Maas, and Graham Carr
Earth Syst. Sci. Data, 16, 1383–1393, https://doi.org/10.5194/essd-16-1383-2024, https://doi.org/10.5194/essd-16-1383-2024, 2024
Short summary
Short summary
Lead (Pb) isotopes form a potent tracer in studies of provenance, mineral exploration and environmental remediation. Previously, however, Pb isotope analysis has rarely been deployed at a continental scale. Here we present a new regolith Pb isotope dataset for Australia, which includes 1119 large catchments encompassing 5.6 × 106 km2 or close to ~75 % of the continent. Isoscape maps have been produced for use in diverse fields of study.
Mohammed Ahmed Muhammed, Binyam Tesfaw Hailu, Georg Miehe, Luise Wraase, Thomas Nauss, and Dirk Zeuss
Earth Syst. Sci. Data, 15, 5535–5552, https://doi.org/10.5194/essd-15-5535-2023, https://doi.org/10.5194/essd-15-5535-2023, 2023
Short summary
Short summary
We processed the only available and oldest historical aerial photographs for the Bale Mountains, Ethiopia. We used structure-from-motion multi-view stereo photogrammetry to generate the first high-resolution DEMs and orthomosaics for 1967 and 1984 at larger spatial extents (5730 km2) and at high spatial resolutions (0.84 m and 0.98 m, respectively). Our datasets will help the scientific community address questions related to the Bale Mountains and afro-alpine ecosystems.
Yujing Wu, Xianjun Fang, and Jianqing Ji
Earth Syst. Sci. Data, 15, 5171–5181, https://doi.org/10.5194/essd-15-5171-2023, https://doi.org/10.5194/essd-15-5171-2023, 2023
Short summary
Short summary
We introduce a zircon U‒Th‒Pb chronological database of the global continental crust. This database provides comprehensive research materials for Earth system science in deep time and space due to its large amount of data (~2 million records), long time span (4.4 billion years), global sampling range, comprehensive zircon samples, and various dating instruments.
Michele Livani, Lorenzo Petracchini, Christoforos Benetatos, Francesco Marzano, Andrea Billi, Eugenio Carminati, Carlo Doglioni, Patrizio Petricca, Roberta Maffucci, Giulia Codegone, Vera Rocca, Francesca Verga, and Ilaria Antoncecchi
Earth Syst. Sci. Data, 15, 4261–4293, https://doi.org/10.5194/essd-15-4261-2023, https://doi.org/10.5194/essd-15-4261-2023, 2023
Short summary
Short summary
This paper presents subsurface geological and geophysical data from the Po Plain and the northern Adriatic Sea (north Italy). We collected and digitized data from 160 deep wells (including geophysical logs), 61 geological cross-sections, and 10 isobath maps. Furthermore, after a data accuracy analysis, we generated a simplified 3D geological model with several gridded surfaces separating units with different lithological properties. All data are available in delimited text files in ASCII format.
Kristen Chiama, Morgan Gabor, Isabella Lupini, Randolph Rutledge, Julia Ann Nord, Shuang Zhang, Asmaa Boujibar, Emma S. Bullock, Michael J. Walter, Kerstin Lehnert, Frank Spear, Shaunna M. Morrison, and Robert M. Hazen
Earth Syst. Sci. Data, 15, 4235–4259, https://doi.org/10.5194/essd-15-4235-2023, https://doi.org/10.5194/essd-15-4235-2023, 2023
Short summary
Short summary
We compiled 95 650 garnet sample analyses from a variety of sources, ranging from large data repositories to peer-reviewed literature. Garnets are commonly used as indicators of geological formation environments and are an ideal subject for the creation of an extensive dataset incorporating composition, localities, formation, age, temperature, pressure, and geochemistry. This dataset is available in the Evolutionary System of Mineralogy Database and paves the way for future geochemical studies.
Sansar Raj Meena, Lorenzo Nava, Kushanav Bhuyan, Silvia Puliero, Lucas Pedrosa Soares, Helen Cristina Dias, Mario Floris, and Filippo Catani
Earth Syst. Sci. Data, 15, 3283–3298, https://doi.org/10.5194/essd-15-3283-2023, https://doi.org/10.5194/essd-15-3283-2023, 2023
Short summary
Short summary
Landslides occur often across the world, with the potential to cause significant damage. Although a substantial amount of research has been conducted on the mapping of landslides using remote-sensing data, gaps and uncertainties remain when developing models to be operational at the global scale. To address this issue, we present the High-Resolution Global landslide Detector Database (HR-GLDD) for landslide mapping with landslide instances from 10 different physiographical regions globally.
Eloi González-Esvertit, Juan Alcalde, and Enrique Gomez-Rivas
Earth Syst. Sci. Data, 15, 3131–3145, https://doi.org/10.5194/essd-15-3131-2023, https://doi.org/10.5194/essd-15-3131-2023, 2023
Short summary
Short summary
Evaporites are, scientifically and economically, key rocks due to their unique geological features and value for industrial purposes. To compile and normalise the vast amount of information of evaporite structures in the Iberian Peninsula, we present the IESDB – the first comprehensive database of evaporite structures and their surrounding rocks in Spain and Portugal. The IESDB is free to use, open access, and can be accessed and downloaded through the interactive IESDB webpage.
Joana Cardoso-Fernandes, Douglas Santos, Cátia Rodrigues de Almeida, Alexandre Lima, Ana C. Teodoro, and GREENPEG project team
Earth Syst. Sci. Data, 15, 3111–3129, https://doi.org/10.5194/essd-15-3111-2023, https://doi.org/10.5194/essd-15-3111-2023, 2023
Short summary
Short summary
GREENPEG aims to develop tools for pegmatite exploration and to enhance European databases, adding new data on pegmatite properties, such as the spectral signature. Samples comprise pegmatites and wall rocks from Austria, Ireland, Norway, Portugal, and Spain. A detailed description of the spectral database is presented as well as reflectance spectra, photographs, and absorption features. Its European scale comprises pegmatites with distinct characteristics, providing a reference for exploration.
Silvia Peruccacci, Stefano Luigi Gariano, Massimo Melillo, Monica Solimano, Fausto Guzzetti, and Maria Teresa Brunetti
Earth Syst. Sci. Data, 15, 2863–2877, https://doi.org/10.5194/essd-15-2863-2023, https://doi.org/10.5194/essd-15-2863-2023, 2023
Short summary
Short summary
ITALICA (ITAlian rainfall-induced LandslIdes CAtalogue) is the largest catalogue of rainfall-induced landslides accurately located in space and time available in Italy. ITALICA currently lists 6312 landslides that occurred between January 1996 and December 2021. The information was collected using strict objective and homogeneous criteria. The high spatial and temporal accuracy makes the catalogue suitable for reliably defining the rainfall conditions capable of triggering future landslides.
Wartini Ng, Budiman Minasny, Alex McBratney, Patrice de Caritat, and John Wilford
Earth Syst. Sci. Data, 15, 2465–2482, https://doi.org/10.5194/essd-15-2465-2023, https://doi.org/10.5194/essd-15-2465-2023, 2023
Short summary
Short summary
With a higher demand for lithium (Li), a better understanding of its concentration and spatial distribution is important to delineate potential anomalous areas. This study uses a framework that combines data from recent geochemical surveys and relevant environmental factors to predict and map Li content across Australia. The map shows high Li concentration around existing mines and other potentially anomalous Li areas. The same mapping principles can potentially be applied to other elements.
Hong-He Xu, Zhi-Bin Niu, Yan-Sen Chen, Xuan Ma, Xiao-Jing Tong, Yi-Tong Sun, Xiao-Yan Dong, Dan-Ni Fan, Shuang-Shuang Song, Yan-Yan Zhu, Ning Yang, and Qing Xia
Earth Syst. Sci. Data, 15, 2213–2221, https://doi.org/10.5194/essd-15-2213-2023, https://doi.org/10.5194/essd-15-2213-2023, 2023
Short summary
Short summary
A multi-dimensional and integrated dataset of fossil specimens is described. The dataset potentially contributes to a range of scientific activities and provides easy access to and virtual examination of fossil specimens in a convenient and low-cost way. It will greatly benefit paleontology in research, teaching, and science communication.
Patrice de Caritat, Anthony Dosseto, and Florian Dux
Earth Syst. Sci. Data, 15, 1655–1673, https://doi.org/10.5194/essd-15-1655-2023, https://doi.org/10.5194/essd-15-1655-2023, 2023
Short summary
Short summary
This new, extensive (~1.5×106 km2) dataset from northern Australia contributes considerable new information on Australia's strontium (Sr) isotope coverage. The data are discussed in terms of lithology and age of the source areas. This dataset will reduce Northern Hemisphere bias in future global Sr isotope models. Other potential applications of the new data include mineral exploration, hydrology, food tracing, dust provenancing, and examining historic migrations of people and animals.
Samuel W. Scott, Léa Lévy, Cari Covell, Hjalti Franzson, Benoit Gibert, Ágúst Valfells, Juliet Newson, Julia Frolova, Egill Júlíusson, and María Sigríður Guðjónsdóttir
Earth Syst. Sci. Data, 15, 1165–1195, https://doi.org/10.5194/essd-15-1165-2023, https://doi.org/10.5194/essd-15-1165-2023, 2023
Short summary
Short summary
Rock properties such as porosity and permeability play an important role in many geological processes. The Valgarður database is a compilation of petrophysical, geochemical, and mineralogical observations on more than 1000 Icelandic rock samples. In addition to helping constrain numerical models and geophysical inversions, these data can be used to better understand the interrelationship between lithology, hydrothermal alteration, and petrophysical properties.
Giuseppe Esposito and Fabio Matano
Earth Syst. Sci. Data, 15, 1133–1149, https://doi.org/10.5194/essd-15-1133-2023, https://doi.org/10.5194/essd-15-1133-2023, 2023
Short summary
Short summary
In the highly urbanized volcanic area of Campi Flegrei (southern Italy), more than 500 000 people are exposed to multi-hazard conditions, including landslides. In the 1828–2017 time span, more than 2000 mass movements affected the volcanic slopes, concentrated mostly along the coastal sector. Rapid rock failures and flow-like landslides are frequent in the whole area. Besides their relevant role in modeling the landscape of Campi Flegrei, these processes also pose a societal risk.
Peter Stimmler, Mathias Goeckede, Bo Elberling, Susan Natali, Peter Kuhry, Nia Perron, Fabrice Lacroix, Gustaf Hugelius, Oliver Sonnentag, Jens Strauss, Christina Minions, Michael Sommer, and Jörg Schaller
Earth Syst. Sci. Data, 15, 1059–1075, https://doi.org/10.5194/essd-15-1059-2023, https://doi.org/10.5194/essd-15-1059-2023, 2023
Short summary
Short summary
Arctic soils store large amounts of carbon and nutrients. The availability of nutrients, such as silicon, calcium, iron, aluminum, phosphorus, and amorphous silica, is crucial to understand future carbon fluxes in the Arctic. Here, we provide, for the first time, a unique dataset of the availability of the abovementioned nutrients for the different soil layers, including the currently frozen permafrost layer. We relate these data to several geographical and geological parameters.
Francesca Ardizzone, Francesco Bucci, Mauro Cardinali, Federica Fiorucci, Luca Pisano, Michele Santangelo, and Veronica Zumpano
Earth Syst. Sci. Data, 15, 753–767, https://doi.org/10.5194/essd-15-753-2023, https://doi.org/10.5194/essd-15-753-2023, 2023
Short summary
Short summary
This paper presents a new geomorphological landslide inventory map for the Daunia Apennines, southern Italy. It was produced through the interpretation of two sets of stereoscopic aerial photographs, taken in 1954/55 and 2003, and targeted field checks. The inventory contains 17 437 landslides classified according to relative age, type of movement, and estimated depth. The dataset consists of a digital archive publicly available at https://doi.org/10.1594/PANGAEA.942427.
Zhaohui Pan, Zhibin Niu, Zumin Xian, and Min Zhu
Earth Syst. Sci. Data, 15, 41–51, https://doi.org/10.5194/essd-15-41-2023, https://doi.org/10.5194/essd-15-41-2023, 2023
Short summary
Short summary
Antiarch placoderms, the most basal jawed vertebrates, have the potential to enlighten the origin of the last common ancestor of jawed vertebrates during the Paleozoic. This dataset, which was extracted manually from 142 published papers or books from 1939 to 2021, consists of 60 genera of 6025 specimens from the Ludfordian to the Famennian, covering all antiarch lineages. We transferred the unstructured data from the literature to structured data for further detailed research.
Zhiheng Du, Jiao Yang, Lei Wang, Ninglian Wang, Anders Svensson, Zhen Zhang, Xiangyu Ma, Yaping Liu, Shimeng Wang, Jianzhong Xu, and Cunde Xiao
Earth Syst. Sci. Data, 14, 5349–5365, https://doi.org/10.5194/essd-14-5349-2022, https://doi.org/10.5194/essd-14-5349-2022, 2022
Short summary
Short summary
A dataset of the radiogenic strontium and neodymium isotopic compositions from the three poles (the third pole, the Arctic, and Antarctica) were integrated to obtain new findings. The dataset enables us to map the standardized locations in the three poles, while the use of sorting criteria related to the sample type permits us to trace the dust sources and sinks. The purpose of this dataset is to try to determine the variable transport pathways of dust at three poles.
Yutian Ke, Damien Calmels, Julien Bouchez, and Cécile Quantin
Earth Syst. Sci. Data, 14, 4743–4755, https://doi.org/10.5194/essd-14-4743-2022, https://doi.org/10.5194/essd-14-4743-2022, 2022
Short summary
Short summary
In this paper, we introduce the largest and most comprehensive database for riverine particulate organic carbon carried by suspended particulate matter in Earth's fluvial systems: 3546 data entries for suspended particulate matter with detailed geochemical parameters are included, and special attention goes to the elemental and isotopic carbon compositions to better understand riverine particulate organic carbon and its role in the carbon cycle from regional to global scales.
Egor Zelenin, Dmitry Bachmanov, Sofya Garipova, Vladimir Trifonov, and Andrey Kozhurin
Earth Syst. Sci. Data, 14, 4489–4503, https://doi.org/10.5194/essd-14-4489-2022, https://doi.org/10.5194/essd-14-4489-2022, 2022
Short summary
Short summary
Active faults are faults in the Earth's crust that could experience a possible future slip. A slip at the fault would cause an earthquake; thus, this draws particular attention to active faults in tectonic studies and seismic hazard assessment. We present the Active Faults of Eurasia Database (AFEAD): a high-detail continental-scale geodatabase comprising ~48 000 faults. The location, name, slip characteristics, and a reference to source publications are provided for database entries.
Patrice de Caritat, Anthony Dosseto, and Florian Dux
Earth Syst. Sci. Data, 14, 4271–4286, https://doi.org/10.5194/essd-14-4271-2022, https://doi.org/10.5194/essd-14-4271-2022, 2022
Short summary
Short summary
Strontium isotopes are useful in geological, environmental, archaeological, and forensic research to constrain or identify the source of materials such as minerals, artefacts, or foodstuffs. A new dataset, contributing significant new data and knowledge to Australia’s strontium isotope coverage, is presented from an area of over 500 000 km2 of inland southeastern Australia. Various source areas for the sediments are recognized, and both fluvial and aeolian transport processes identified.
Francesco Bucci, Michele Santangelo, Lorenzo Fongo, Massimiliano Alvioli, Mauro Cardinali, Laura Melelli, and Ivan Marchesini
Earth Syst. Sci. Data, 14, 4129–4151, https://doi.org/10.5194/essd-14-4129-2022, https://doi.org/10.5194/essd-14-4129-2022, 2022
Short summary
Short summary
The paper describes a new lithological map of Italy at a scale of 1 : 100 000 obtained from classification of a digital database following compositional and geomechanical criteria. The map represents the national distribution of the lithological classes at high resolution. The outcomes of this study can be relevant for a wide range of applications, including statistical and physically based modelling of slope stability assessment and other geoenvironmental studies.
Zhuoxuan Xia, Lingcao Huang, Chengyan Fan, Shichao Jia, Zhanjun Lin, Lin Liu, Jing Luo, Fujun Niu, and Tingjun Zhang
Earth Syst. Sci. Data, 14, 3875–3887, https://doi.org/10.5194/essd-14-3875-2022, https://doi.org/10.5194/essd-14-3875-2022, 2022
Short summary
Short summary
Retrogressive thaw slumps are slope failures resulting from abrupt permafrost thaw, and are widely distributed along the Qinghai–Tibet Engineering Corridor. The potential damage to infrastructure and carbon emission of thaw slumps motivated us to obtain an inventory of thaw slumps. We used a semi-automatic method to map 875 thaw slumps, filling the knowledge gap of thaw slump locations and providing key benchmarks for analysing the distribution features and quantifying spatio-temporal changes.
Alexandru T. Codilean, Henry Munack, Wanchese M. Saktura, Tim J. Cohen, Zenobia Jacobs, Sean Ulm, Paul P. Hesse, Jakob Heyman, Katharina J. Peters, Alan N. Williams, Rosaria B. K. Saktura, Xue Rui, Kai Chishiro-Dennelly, and Adhish Panta
Earth Syst. Sci. Data, 14, 3695–3713, https://doi.org/10.5194/essd-14-3695-2022, https://doi.org/10.5194/essd-14-3695-2022, 2022
Short summary
Short summary
OCTOPUS v.2 is a web-enabled database that allows users to visualise, query, and download cosmogenic radionuclide, luminescence, and radiocarbon ages and denudation rates associated with erosional landscapes, Quaternary depositional landforms, and archaeological records, along with ancillary geospatial data layers. OCTOPUS v.2 hosts five major data collections. Supporting data are comprehensive and include bibliographic, contextual, and sample-preparation- and measurement-related information.
Gregor Luetzenburg, Kristian Svennevig, Anders A. Bjørk, Marie Keiding, and Aart Kroon
Earth Syst. Sci. Data, 14, 3157–3165, https://doi.org/10.5194/essd-14-3157-2022, https://doi.org/10.5194/essd-14-3157-2022, 2022
Short summary
Short summary
We produced the first landslide inventory for Denmark. Over 3200 landslides were mapped using a high-resolution elevation model and orthophotos. We implemented an independent validation into our mapping and found an overall level of completeness of 87 %. The national inventory represents a range of landslide sizes covering all regions that were covered by glacial ice during the last glacial period. This inventory will be used for investigating landslide causes and for natural hazard mitigation.
Cited articles
Barnes, R., Gupta, S., Traxler, C., Ortner, T., Bauer, A., Hesina, G., Paar, G., Huber, B., Juhart, K., Fritz, L., Nauschnegg, B., Muller, J.-P., and Tao, Y.: Geological Analysis of Martian Rover-Derived Digital Outcrop Models Using the 3-D Visualization Tool, Planetary Robotics 3-D Viewer-PRo3D, Earth Space Sci., 5, 285–307, https://doi.org/10.1002/2018EA000374, 2018. a
Bergh, S. G., Braathen, A., and Andresen, A.: Interaction of Basement-Involved and Thin-Skinned Tectonism in the Tertiary Fold-Thrust Belt of Central Spitsbergen, Svalbard1, AAPG Bull., 81, 637–661, https://doi.org/10.1306/522B43F7-1727-11D7-8645000102C1865D, 1997. a, b
Betlem, P.: Automated Metashape Package, Zenodo [code], https://doi.org/10.5281/zenodo.6448154, 2022a. a
Betlem, P.: De-Risking Top Seal Integrity: Imaging Heterogeneity across Shale-Dominated Cap Rock Sequences, Ph.D. thesis, Faculty of Mathematics and Natural Sciences, University of Oslo, No. 2667, ISSN 1501-7710, http://hdl.handle.net/10852/105611, 2023a. a
Betlem, P.: Svalbox-DOM_2020-0039: Supplementary Material and Processing Examples, Zenodo [code], https://doi.org/10.5281/zenodo.10182529, 2023b. a, b
Bilmes, A., D'Elia, L., Lopez, L., Richiano, S., Varela, A., Alvarez, M. d. P., Bucher, J., Eymard, I., Muravchik, M., Franzese, J., and Ariztegui, D.: Digital Outcrop Modelling Using “Structure-from- Motion” Photogrammetry: Acquisition Strategies, Validation and Interpretations to Different Sedimentary Environments, J. South Am. Earth Sci., 96, 102325, https://doi.org/10.1016/j.jsames.2019.102325, 2019. a
Birchall, T., Senger, K., Hornum, M., Olaussen, S., and Braathen, A.: Underpressure of the Barents Shelf: Causes and Implications for Hydrocarbon Exploration, AAPG Bull., 104, 2267–2295, https://doi.org/10.1306/02272019146, 2020. a
Braathen, A., Bergh, S. G., and Maher Jr., H. D.: Structural Outline of a Tertiary Basement-cored Uplift/Inversion Structure in Western Spitsbergen, Svalbard: Kinematics and Controlling Factors, Tectonics, 14, 95–119, https://doi.org/10.1029/94TC01677, 1995. a
Braathen, A., Berc, S. G., and Maher, H. D.: Thrust Kinematics in the Central Part of the Tertiary Transpressional Fold-Thrust Belt in Spitsbergen, Geological Survey of Norway, 433, 32–33, 1997. a
Bradski, G.: The OpenCV Library, Dr. Dobb's J., 25, 120–123, 2000. a
Buckley, S. J., Ringdal, K., Naumann, N., Dolva, B., Kurz, T. H., Howell, J. A., and Dewez, T. J.: LIME: Software for 3-D Visualization, Interpretation, and Communication of Virtual Geoscience Models, Geosphere, 15, 222–235, https://doi.org/10.1130/GES02002.1, 2019. a
Buckley, S. J., Howell, J. A., Naumann, N., Lewis, C., Chmielewska, M., Ringdal, K., Vanbiervliet, J., Tong, B., Mulelid-Tynes, O. S., Foster, D., Maxwell, G., and Pugsley, J.: V3Geo: A Cloud-Based Repository for Virtual 3D Models in Geoscience, Geosci. Commun., 5, 67–82, https://doi.org/10.5194/gc-5-67-2022, 2022. a, b
Butler, H., Chambers, B., Hartzell, P., and Glennie, C.: PDAL: An Open Source Library for the Processing and Analysis of Point Clouds, Comput. Geosci., 148, 104680, https://doi.org/10.1016/j.cageo.2020.104680, 2021. a
Cawood, A. J. and Bond, C. E.: eRock: An Open-Access Repository of Virtual Outcrops for Geoscience Education, GSA Today, 28, 36–37, 2019. a
Crameri, F., Shephard, G. E., and Heron, P. J.: The Misuse of Colour in Science Communication, Nat. Commun., 11, 5444, https://doi.org/10.1038/s41467-020-19160-7, 2020. a
Dallmann, W. K., Atakan, K., Blomeier, D., Bond, D., Christiansen, H., Elvevold, S., Forwick, M., Gerland, S., Grundvåg, S.-A., Hagen, J.-O., Hormes, A., Jernas, P. E., Kohler, J., Laberg, J. S., Majka, J., Mørk, A., Nasuti, A., Nuth, C., Olaussen, S., Olesen, O., Ottesen, R. T., Pavlov, V., Pavlova, O., Piepjohn, K., Reymert, P. K., Salvigsen, O., Sander, G., Storheim, B. M., Sundjord, A., and Vorren, T. O.: Geoscience Atlas of Svalbard, Rapport 148, Norsk Polar Institutt, Tromsø, Norway, ISBN 978-82-7666-312-9, 2015 a
Dering, G. M., Micklethwaite, S., Thiele, S. T., Vollgger, S. A., and Cruden, A. R.: Review of Drones, Photogrammetry and Emerging Sensor Technology for the Study of Dykes: Best Practises and Future Potential, J. Volcanol. Geoth. Res., 373, 148–166, https://doi.org/10.1016/j.jvolgeores.2019.01.018, 2019. a, b, c
Donnadieu, F., Kelfoun, K., van Wyk de Vries, B., Cecchi, E., and Merle, O.: Digital Photogrammetry as a Tool in Analogue Modelling: Applications to Volcano Instability, J. Volcanol. Geoth. Res., 123, 161–180, https://doi.org/10.1016/S0377-0273(03)00034-9, 2003. a
Dypvik, H. and Harris, N. B.: Geochemical Facies Analysis of Fine-Grained Siliciclastics Using Th/U, Zr/Rb and (Zr+Rb)/Sr Ratios, Chem. Geol., 181, 131–146, https://doi.org/10.1016/S0009-2541(01)00278-9, 2001. a
Dypvik, H., Eikeland, T. A., Backer-Owe, K., Andresen, A., Johanen, H., Elverhøi, A., Nagy, J., Haremo, P., and Biærke, T.: The Janusfjellet Subgroup (Bathonian to Hauterivian) on Central Spitsbergen: A Revised Lithostratigraphy, Polar Res., 9, 21–44, https://doi.org/10.1111/j.1751-8369.1991.tb00400.x, 1991. a, b, c, d, e, f
Garrido-Jurado, S., Muñoz-Salinas, R., Madrid-Cuevas, F. J., and Marín-Jiménez, M. J.: Automatic Generation and Detection of Highly Reliable Fiducial Markers under Occlusion, Pattern Recogn., 47, 2280–2292, https://doi.org/10.1016/j.patcog.2014.01.005, 2014. a
Grundvåg, S. A., Marin, D., Kairanov, B., Śliwińska, K. K., Nøhr-Hansen, H., Jelby, M. E., Escalona, A., and Olaussen, S.: The Lower Cretaceous Succession of the Northwestern Barents Shelf: Onshore and Offshore Correlations, Mar. Petrol. Geol., 86, 834–857, https://doi.org/10.1016/j.marpetgeo.2017.06.036, 2017. a, b
Harland, W. B., Anderson, L. M., Manasrah, D., Butterfield, N. J., Challinor, A., Doubleday, P. A., Dowdeswell, E. K., Dowdeswell, J. A., Geddes, I., Kelly, S. R., Lesk, E. L., Spencer, A. M., and Stephens, C. F.: The Geology of Svalbard, vol. 17, Geological Society London, London, ISBN 978-1-897799-93-2, 1997. a
Harrald, J. E. G., Coe, A. L., Thomas, R. M., and Hoggett, M.: Use of Drones to Analyse Sedimentary Successions Exposed in the Foreshore, P. Geolo. Assoc., 132, 253–268, https://doi.org/10.1016/j.pgeola.2021.02.001, 2021. a
Healy, D., Rizzo, R. E., Cornwell, D. G., Farrell, N. J. C., Watkins, H., Timms, N. E., Gomez-Rivas, E., and Smith, M.: FracPaQ: A MATLAB™ Toolbox for the Quantification of Fracture Patterns, J. Struct. Geol., 95, 1–16, https://doi.org/10.1016/j.jsg.2016.12.003, 2017. a
Henriksen, E., Ryseth, A. E., Larssen, G. B., Heide, T., Rønning, K., Sollid, K., and Stoupakova, A. V.: Chapter 10 Tectonostratigraphy of the Greater Barents Sea: Implications for Petroleum Systems, Geological Society, London, Memoirs, 35, 163–195, https://doi.org/10.1144/M35.10, 2011. a, b
Hiep, V. H., Keriven, R., Labatut, P., and Pons, J.-P.: Towards High-Resolution Large-Scale Multi-View Stereo, in: IEEE Conference on Computer Vision and Pattern Recognition (20–25 June 2009), IEEE, Miami, FL, USA, 1430–1437, https://doi.org/10.1109/CVPR.2009.5206617, 2009. a
Hirschmuller, H.: Stereo Processing by Semiglobal Matching and Mutual Information, IEEE T. Pattern Anal., 30, 328–341, 2007. a
Hodgetts, D., Seers, T., Head, W., and Burnham, B. S.: High Performance Visualisation of Multiscale Geological Outcrop Data in Single Software Environment, in: 77th EAGE Conference and Exhibition 2015, vol. 2015, European Association of Geoscientists & Engineers, Madrid, Spain, 1–5, ISSN 2214-4609, https://doi.org/10.3997/2214-4609.201412862, 2015. a
Howell, J. A., Martinius, A. W., and Good, T. R.: The Application of Outcrop Analogues in Geological Modelling: A Review, Present Status and Future Outlook, Geol. Soc. Lond. Spec. Publ., 387, 1–25, https://doi.org/10.1144/SP387.12, 2014. a
Humlum, O., Instanes, A., and Sollid, J. L.: Permafrost in Svalbard: A Review of Research History, Climatic Background and Engineering Challenges, Polar Res., 22, 191–215, https://doi.org/10.1111/j.1751-8369.2003.tb00107.x, 2003. a
Huq, F., Smalley, P. C., Mørkved, P. T., Johansen, I., Yarushina, V., and Johansen, H.: The Longyearbyen CO2 Lab: Fluid Communication in Reservoir and Caprock, Int. J. Greenh. Gas Con., 63, 59–76, https://doi.org/10.1016/j.ijggc.2017.05.005, 2017. a
James, M. R., Chandler, J. H., Eltner, A., Fraser, C., Miller, P. E., Mills, J. P., Noble, T., Robson, S., and Lane, S. N.: Guidelines on the Use of Structure-from-Motion Photogrammetry in Geomorphic Research, Earth Surf. Proc. Land., 44, 2081–2084, https://doi.org/10.1002/esp.4637, 2019. a, b, c
Kingsland, K.: Comparative Analysis of Digital Photogrammetry Software for Cultural Heritage, Digital Applications in Archaeology and Cultural Heritage, 18, e00157, https://doi.org/10.1016/j.daach.2020.e00157, 2020. a
Koevoets, M. J., Abay, T. B., Hammer, Ø., and Olaussen, S.: High-Resolution Organic Carbon–Isotope Stratigraphy of the Middle Jurassic–Lower Cretaceous Agardhfjellet Formation of Central Spitsbergen, Svalbard, Palaeogeogr. Palaeocl., 449, 266–274, https://doi.org/10.1016/j.palaeo.2016.02.029, 2016. a
Koevoets, M. K., Hammer, Ø., and Little, C. T. S.: Palaeoecology and Palaeoenvironments of the Middle Jurassic to Lowermost Cretaceous Agardhfjellet Formation (Bathonian-Ryazanian), Spitsbergen, Svalbard, Norw. J. Geol., 99, 17–40, https://doi.org/10.17850/njg99-1-02, 2019b. a, b, c
Leica Geosystems AG: Leica Viva GS16 Data Sheet, https://leica-geosystems.com/-/media/files/leicageosystems/products/datasheets/leica_viva_gs16_gnss_smart_antenna_ds.ashx (last access: 7 February 2024) 2016. a
Leon, J. X., Heuvelink, G. B. M., and Phinn, S. R.: Incorporating DEM Uncertainty in Coastal Inundation Mapping, PLOS ONE, 9, e108727, https://doi.org/10.1371/journal.pone.0108727, 2014. a
Marques, A., Horota, R. K., de Souza, E. M., Kupssinskü, L., Rossa, P., Aires, A. S., Bachi, L., Veronez, M. R., Gonzaga, L., and Cazarin, C. L.: Virtual and Digital Outcrops in the Petroleum Industry: A Systematic Review, Earth-Sci. Rev., 208, 103260, https://doi.org/10.1016/j.earscirev.2020.103260, 2020. a
Mørk, A., Dallmann, W. K., Dypvik, H., Johannessen, E. P., Larssen, G. B., Nagy, J., Nøttvedt, A., Olaussen, S., Pchelina, T. M., and Worsley, D.: Mesozoic Lithostratigraphy, in: Lithostratigraphic lexicon of Svalbard, Upper Palaeozoic to Quaternary bedrock, Review and recommendations for nomenclature use, edoted by: Dallmann, W. K., Norwegian Polar Institute, 127–214, 1999. a, b
Mulrooney, M. J., Larsen, L., Van Stappen, J. F., Rismyhr, B., Senger, K., Braathen, A., Olaussen, S., Mørk, M. B. E., Ogata, K., and Cnudde, V.: Fluid Flow Properties of the Wilhelmøya Subgroup, a Potential Unconventional CO2 Storage Unit in Central Spitsbergen, Norw. J. Geol., 99, 85–116, https://doi.org/10.17850/njg002, 2018. a, b, c
Norwegian Polar Institute: Geological Map of Svalbard (1:250000), Norwegian Polar Institute [data set], https://doi.org/10.21334/NPOLAR.2016.616F7504, 2016. a, b
Norwegian Polar Institute: NP_Ortofoto_Svalbard_WMTS_25833, Norwegian Polar Institute [data set], https://geodata.npolar.no/arcgis/rest/services/Basisdata/NP_Ortofoto_Svalbard_WMTS_25833/MapServer (last access: 19 February 2024), 2017. a
Nyberg, B., Nixon, C. W., and Sanderson, D. J.: NetworkGT: A GIS Tool for Geometric and Topological Analysis of Two-Dimensional Fracture Networks, Geosphere, 14, 1618–1634, https://doi.org/10.1130/GES01595.1, 2018. a
Ogata, K., Senger, K., Braathen, A., Tveranger, J., and Olaussen, S.: The Importance of Natural Fractures in a Tight Reservoir for Potential CO2 Storage: A Case Study of the Upper Triassic-middle Jurassic Kapp Toscana Group (Spitsbergen, Arctic Norway), Geol. Soc. Lond. Spec. Publ., 374, 395–415, https://doi.org/10.1144/SP374.9, 2012. a, b, c, d
Ogata, K., Senger, K., Braathen, A., Tveranger, J., and Olaussen, S.: Fracture Systems and Mesoscale Structural Patterns in the Siliciclastic Mesozoic Reservoir-Caprock Succession of the Longyearbyen CO2 Lab Project: Implications for Geological CO2 Sequestration in Central Spitsbergen, Svalbard, Norw. J. Geol., 94, 121–154, 2014. a, b, c, d, e, f
Ogata, K., Weert, A., Betlem, P., Birchall, T., and Senger, K.: Shallow and Deep Subsurface Sediment Remobilization and Intrusion in the Middle Jurassic to Lower Cretaceous Agardhfjellet Formation (Svalbard), Geosphere, 19, 801–822, https://doi.org/10.1130/GES02555.1, 2023. a, b
Olaussen, S., Senger, K., Braathen, A., Grundvåg, S.-A., and Mørk, A.: You Learn as Long as You Drill; Research Synthesis from the Longyearbyen CO2 Laboratory, Svalbard, Norway, Norw. J. Geol., 99, 157–188, https://doi.org/10.17850/njg008, 2019. a, b, c, d
Over, J.-S. R., Ritchie, A. C., Kranenburg, C. J., Brown, J. A., Buscombe, D. D., Noble, T., Sherwood, C. R., Warrick, J. A., and Wernette, P. A.: Processing coastal imagery with Agisoft Metashape Professional Edition, version 1.6 – Structure from motion workflow documentation: U.S. Geological Survey Open-File Report 2021–1039, 46 pp., https://doi.org/10.3133/ofr20211039, 2021. a, b
Pavlis, N., Kenyon, S., Factor, J., and Holmes, S.: Earth Gravitational Model 2008, in: SEG Technical Program Expanded Abstracts 2008, SEG Technical Program Expanded Abstracts, Society of Exploration Geophysicists, Tulsa, Olkahoma,761–763, https://doi.org/10.1190/1.3063757, 2008. a, b, c, d
PDAL Contributors: PDAL Point Data Abstraction Library, Zenodo [code], https://doi.org/10.5281/zenodo.2556738, 2018. a
Rippin, D. M., Pomfret, A., and King, N.: High Resolution Mapping of Supra-Glacial Drainage Pathways Reveals Link between Micro-Channel Drainage Density, Surface Roughness and Surface Reflectance, Earth Surf. Proc. Land., 40, 1279–1290, https://doi.org/10.1002/esp.3719, 2015. a
Rizzo, R., Forbes Inskip, N., Fazeli, H., Betlem, P., Bisdom, K., Kampman, N., Snippe, J., Senger, K., Doster, F., and Busch, A.: Modelling Geological Co2 Leakage: Integrating Fracture Permeability and Fault Zone Outcrop Analysis, SSRN [preprint], https://doi.org/10.2139/ssrn.4571419, 2023. a, b
Rizzo, R. E., Fazeli, H., Maier, C., March, R., Egya, D., Doster, F., Kubeyev, A., Kampman, N., Bisdom, K., Snippe, J., Senger, K., Betlem, P., Phillips, T., Inskip, N. F., Esegbue, O., and Busch, A.: Understanding Fault and Fracture Networks to De-Risk Geological Leakage from Subsurface Storage Sites, in: 1st Geoscience & Engineering in Energy Transition Conference, European Association of Geoscientists & Engineers, Strasbourg, France,vol. 2020, 1–5, ISSN 2214-4609, https://doi.org/10.3997/2214-4609.202021016, 2020. a
Rizzo, R. E., Fazeli, H., Doster, F., Kampman, N., Bisdom, K., Snippe, J., Senger, K., Betlem, P., and Busch, A.: Role of fault and fracture networks to de-risk geological leakage from subsurface energy sites, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-8517, https://doi.org/10.5194/egusphere-egu21-8517, 2021. a
Rouault, E., Warmerdam, F., Schwehr, K., Kiselev, A., Butler, H., Łoskot, M., Szekeres, T., Tourigny, E., Landa, M., Miara, I., Elliston, B., Kumar, C., Plesea, L., Morissette, D., Jolma, A., and Dawson, N.: GDAL, Zenodo [code], https://doi.org/10.5281/zenodo.6352176, 2022. a
Schaaf, N. W., Senger, K., Mulrooney, M. J., Ogata, K., Braathen, A., and Olaussen, S.: Towards Characterization of Natural Fractures in a Caprock Shale: An Integrated Borehole-Outcrop Study of the Agardhfjellet For-mation, Svalbard, Arctic Norway, in: Norwegian Geological Society Winter Conference, Oslo, https://doi.org/10.13140/RG.2.2.23744.74249/1, 2017. a
Senger, K., Tveranger, J., Ogata, K., Braathen, A., and Planke, S.: Late Mesozoic Magmatism in Svalbard: A Review, Earth-Sci. Rev., 139, 123–144, https://doi.org/10.1016/j.earscirev.2014.09.002, 2014. a
Senger, K., Buckley, S. J., Chevallier, L., Fagereng, Å., Galland, O., Kurz, T. H., Ogata, K., Planke, S., and Tveranger, J.: Fracturing of Doleritic Intrusions and Associated Contact Zones: Implications for Fluid Flow in Volcanic Basins, J. Afr. Earth Sci., 102, 70–85, https://doi.org/10.1016/j.jafrearsci.2014.10.019, 2015. a
Senger, K., Brugmans, P., Grundvåg, S.-A., Jochmann, M., Nøttvedt, A., Olaussen, S., Skotte, A., and Smyrak-Sikora, A.: Petroleum, Coal and Research Drilling Onshore Svalbard: A Historical Perspective, Norw. J. Geol., 99, 3, https://doi.org/10.17850/njg99-3-1, 2019. a
Sibson, R. H.: Structural Permeability of Fluid-Driven Fault-Fracture Meshes, J. Struct. Geol., 18, 1031–1042, https://doi.org/10.1016/0191-8141(96)00032-6, 1996. a
Smith, M., Carrivick, J., and Quincey, D.: Structure from Motion Photogrammetry in Physical Geography, Prog. Phys. Geogr., 40, 247–275, https://doi.org/10.1177/0309133315615805, 2016. a
Spencer, A. M., Briskeby, P. I., Christensen, L. D., Foyn, R., Kjolleberg, M., Kvadsheim, E., Knight, I., Rye-Larsen, M., and Williams, J.: Petroleum Geoscience in Norden-exploration, Production and Organization, Episodes, 31, 115–124, 2008. a
Stevens, J.-L. R., Rudiger, P., and Bednar, J. A.: HoloViews: Building Complex Visualizations Easily for Reproducible Science, in: Proceedings of the 14th Python in Science Conference, Citeseer, 59–66, https://doi.org/10.25080/Majora-7b98e3ed-00a, 2015. a
Tinkham, W. T. and Swayze, N. C.: Influence of Agisoft Metashape Parameters on UAS Structure from Motion Individual Tree Detection from Canopy Height Models, Forests, 12, 250, https://doi.org/10.3390/f12020250, 2021. a
Tonkin, T. N., Midgley, N. G., Cook, S. J., and Graham, D. J.: Ice-Cored Moraine Degradation Mapped and Quantified Using an Unmanned Aerial Vehicle: A Case Study from a Polythermal Glacier in Svalbard, Geomorphology, 258, 1–10, https://doi.org/10.1016/j.geomorph.2015.12.019, 2016. a
Vieira, G., Mora, C., Pina, P., Ramalho, R., and Fernandes, R.: UAV-based very high resolution point cloud, digital surface model and orthomosaic of the Chã das Caldeiras lava fields (Fogo, Cabo Verde), Earth Syst. Sci. Data, 13, 3179–3201, https://doi.org/10.5194/essd-13-3179-2021, 2021. a
Vollgger, S. A. and Cruden, A. R.: Mapping Folds and Fractures in Basement and Cover Rocks Using UAV Photogrammetry, Cape Liptrap and Cape Paterson, Victoria, Australia, J. Struct. Geol., 85, 168–187, https://doi.org/10.1016/j.jsg.2016.02.012, 2016. a, b, c
Westoby, M. J., Brasington, J., Glasser, N. F., Hambrey, M. J., and Reynolds, J. M.: “Structure-from-Motion” Photogrammetry: A Low-Cost, Effective Tool for Geoscience Applications, Geomorphology, 179, 300–314, https://doi.org/10.1016/j.geomorph.2012.08.021, 2012. a, b, c
Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S., Evelo, C. T., Finkers, R., Gonzalez-Beltran, A., Gray, A. J. G., Groth, P., Goble, C., Grethe, J. S., Heringa, J., 't Hoen, P. A. C., Hooft, R., Kuhn, T., Kok, R., Kok, J., Lusher, S. J., Martone, M. E., Mons, A., Packer, A. L., Persson, B., Rocca-Serra, P., Roos, M., van Schaik, R., Sansone, S.-A., Schultes, E., Sengstag, T., Slater, T., Strawn, G., Swertz, M. A., Thompson, M., van der Lei, J., van Mulligen, E., Velterop, J., Waagmeester, A., Wittenburg, P., Wolstencroft, K., Zhao, J., and Mons, B.: The FAIR Guiding Principles for Scientific Data Management and Stewardship, Sci. Data, 3, 160018, https://doi.org/10.1038/sdata.2016.18, 2016. a
Zhou, Y., Daakir, M., Rupnik, E., and Pierrot-Deseilligny, M.: A Two-Step Approach for the Correction of Rolling Shutter Distortion in UAV Photogrammetry, ISPRS J. Photogramm., 160, 51–66, https://doi.org/10.1016/j.isprsjprs.2019.11.020, 2020. a
Short summary
We present the digitalisation (i.e. textured outcrop and terrain models) of the Agardhfjellet Fm. cliffs exposed in Konusdalen West, Svalbard, which forms the seal of a carbon capture site in Longyearbyen, where several boreholes cover the exposed interval. Outcrop data feature centimetre-scale accuracies and a maximum resolution of 8 mm and have been correlated with the boreholes through structural–stratigraphic annotations that form the basis of various numerical modelling scenarios.
We present the digitalisation (i.e. textured outcrop and terrain models) of the Agardhfjellet...
Altmetrics
Final-revised paper
Preprint