Articles | Volume 12, issue 4
https://doi.org/10.5194/essd-12-3367-2020
© Author(s) 2020. 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-12-3367-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
11 Dec 2020
Data description paper |
| 11 Dec 2020
| 11 Dec 2020
Deep-sea sediments of the global ocean
Geological Survey of Norway (NGU), P.O. Box 6315, Torgarden, 7491
Trondheim, Norway
Related authors
Mark Chatting, Markus Diesing, William Ross Hunter, Anthony Grey, Brian P. Kelleher, and Mark Coughlan
EGUsphere, https://doi.org/10.5194/egusphere-2025-661, https://doi.org/10.5194/egusphere-2025-661, 2025
This preprint is open for discussion and under review for Biogeosciences (BG).
Short summary
Short summary
Marine sediments store carbon and are critical in the global carbon cycle, but data gaps reduce the accuracy of carbon stock estimates. This study improves estimates in the Irish Sea by refining key data inputs. Using machine learning and bias adjustments, the new model suggests previous estimates overestimated carbon stocks by 31.4 %. The findings highlight the need for more accurate sediment measurements to guide environmental policies and better protect carbon storage in marine ecosystems.
Markus Diesing, Terje Thorsnes, and Lilja Rún Bjarnadóttir
Biogeosciences, 18, 2139–2160, https://doi.org/10.5194/bg-18-2139-2021, https://doi.org/10.5194/bg-18-2139-2021, 2021
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The upper 10 cm of the seafloor of the North Sea and Skagerrak contain 231×106 t of carbon in organic form. The Norwegian Trough, the deepest sedimentary basin in the studied area, stands out as a zone of strong organic carbon accumulation with rates on par with neighbouring fjords. Conversely, large parts of the North Sea are characterised by rapid organic carbon degradation and negligible accumulation. This dual character is likely typical for continental shelf sediments worldwide.
Mark Chatting, Markus Diesing, William Ross Hunter, Anthony Grey, Brian P. Kelleher, and Mark Coughlan
EGUsphere, https://doi.org/10.5194/egusphere-2025-661, https://doi.org/10.5194/egusphere-2025-661, 2025
This preprint is open for discussion and under review for Biogeosciences (BG).
Short summary
Short summary
Marine sediments store carbon and are critical in the global carbon cycle, but data gaps reduce the accuracy of carbon stock estimates. This study improves estimates in the Irish Sea by refining key data inputs. Using machine learning and bias adjustments, the new model suggests previous estimates overestimated carbon stocks by 31.4 %. The findings highlight the need for more accurate sediment measurements to guide environmental policies and better protect carbon storage in marine ecosystems.
Markus Diesing, Terje Thorsnes, and Lilja Rún Bjarnadóttir
Biogeosciences, 18, 2139–2160, https://doi.org/10.5194/bg-18-2139-2021, https://doi.org/10.5194/bg-18-2139-2021, 2021
Short summary
Short summary
The upper 10 cm of the seafloor of the North Sea and Skagerrak contain 231×106 t of carbon in organic form. The Norwegian Trough, the deepest sedimentary basin in the studied area, stands out as a zone of strong organic carbon accumulation with rates on par with neighbouring fjords. Conversely, large parts of the North Sea are characterised by rapid organic carbon degradation and negligible accumulation. This dual character is likely typical for continental shelf sediments worldwide.
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Last interglacial sea-level proxies in the Korean Peninsula
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Earth Syst. Sci. Data, 17, 165–179, https://doi.org/10.5194/essd-17-165-2025, https://doi.org/10.5194/essd-17-165-2025, 2025
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Jiankang Lai, Haijun Song, Daoliang Chu, Jacopo Dal Corso, Erik A. Sperling, Yuyang Wu, Xiaokang Liu, Lai Wei, Mingtao Li, Hanchen Song, Yong Du, Enhao Jia, Yan Feng, Huyue Song, Wenchao Yu, Qingzhong Liang, Xinchuan Li, and Hong Yao
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The Deep-Time Marine Sedimentary Element Database (DM-SED) expands upon the Sedimentary Geochemistry and Paleoenvironments Project (SGP) database, totalling 63,691 entries and covering major and trace elements and some isotopes in ancient marine sediments. This database is not only a significant reference for reconstructing the Earth's system evolution but also a valuable resource for studying paleoenvironments, paleoclimates, and geochemical cycles.
Zhen Li, Jinyun Guo, Chengcheng Zhu, Xin Liu, Cheinway Hwang, Sergey Lebedev, Xiaotao Chang, Anatoly Soloviev, and Heping Sun
Earth Syst. Sci. Data, 16, 4119–4135, https://doi.org/10.5194/essd-16-4119-2024, https://doi.org/10.5194/essd-16-4119-2024, 2024
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A new global marine gravity model, SDUST2022GRA, is recovered from radar and laser altimeter data. The accuracy of SDUST2022GRA is 4.43 mGal on a global scale, which is at least 0.22 mGal better than that of other models. The spatial resolution of SDUST2022GRA is approximately 20 km in a certain region, slightly superior to other models. These assessments suggest that SDUST2022GRA is a reliable global marine gravity anomaly model.
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Earth Syst. Sci. Data, 16, 3547–3563, https://doi.org/10.5194/essd-16-3547-2024, https://doi.org/10.5194/essd-16-3547-2024, 2024
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Graham Epstein, Susanna D. Fuller, Dipti Hingmire, Paul G. Myers, Angelica Peña, Clark Pennelly, and Julia K. Baum
Earth Syst. Sci. Data, 16, 2165–2195, https://doi.org/10.5194/essd-16-2165-2024, https://doi.org/10.5194/essd-16-2165-2024, 2024
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Improved mapping of surficial seabed sediment organic carbon is vital for best-practice marine management. Here, using systematic data review, data unification process and machine learning techniques, the first national predictive maps were produced for Canada at 200 m resolution. We show fine-scale spatial variation of organic carbon across the continental margin and estimate the total standing stock in the top 30 cm of the sediment to be 10.9 Gt.
Rita González-Villanueva, Jesús Soriano-González, Irene Alejo, Francisco Criado-Sudau, Theocharis Plomaritis, Àngels Fernàndez-Mora, Javier Benavente, Laura Del Río, Miguel Ángel Nombela, and Elena Sánchez-García
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Sandy beaches, shaped by tides, waves, and winds, constantly change. Studying these changes is crucial for coastal management, but obtaining detailed shoreline data is difficult and costly. Our paper introduces a unique dataset of high-resolution shorelines from five Spanish beaches collected through the CoastSnap citizen-science program. With 1721 shorelines, our dataset provides valuable information for coastal studies.
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Earth Syst. Sci. Data, 15, 4105–4125, https://doi.org/10.5194/essd-15-4105-2023, https://doi.org/10.5194/essd-15-4105-2023, 2023
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Rajeev Saraswat, Thejasino Suokhrie, Dinesh K. Naik, Dharmendra P. Singh, Syed M. Saalim, Mohd Salman, Gavendra Kumar, Sudhira R. Bhadra, Mahyar Mohtadi, Sujata R. Kurtarkar, and Abhayanand S. Maurya
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Much effort is made to project monsoon changes by reconstructing the past. The stable oxygen isotopic ratio of marine calcareous organisms is frequently used to reconstruct past monsoons. Here, we use the published and new stable oxygen isotopic data to demonstrate a diagenetic effect and a strong salinity influence on the oxygen isotopic ratio of foraminifera in the northern Indian Ocean. We also provide updated calibration equations to deduce monsoons from the oxygen isotopic ratio.
Kilian Vos, Wen Deng, Mitchell Dean Harley, Ian Lloyd Turner, and Kristen Dena Marie Splinter
Earth Syst. Sci. Data, 14, 1345–1357, https://doi.org/10.5194/essd-14-1345-2022, https://doi.org/10.5194/essd-14-1345-2022, 2022
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Along the world's coastlines, we find sandy beaches that are constantly reshaped by ocean waves and tides. The way the incoming waves interact with the sandy beach is dictated by the slope of the beach face. Yet, despite their importance in coastal sciences, beach-face slope data remain unavailable along most coastlines. Here we use satellite remote sensing to present a new dataset of beach-face slopes for the Australian continent, covering 13 200 km of sandy coast.
Woo Hun Ryang, Alexander R. Simms, Hyun Ho Yoon, Seung Soo Chun, and Gee Soo Kong
Earth Syst. Sci. Data, 14, 117–142, https://doi.org/10.5194/essd-14-117-2022, https://doi.org/10.5194/essd-14-117-2022, 2022
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Karla Rubio-Sandoval, Alessio Rovere, Ciro Cerrone, Paolo Stocchi, Thomas Lorscheid, Thomas Felis, Ann-Kathrin Petersen, and Deirdre D. Ryan
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Ciro Cerrone, Matteo Vacchi, Alessandro Fontana, and Alessio Rovere
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Kathrine Maxwell, Hildegard Westphal, and Alessio Rovere
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Marine Isotope Stage 5e (MIS 5e; the Last Interglacial, 125 ka) represents a period in the Earth’s geologic history when sea level was higher than present. In this paper, a standardized database was produced after screening and reviewing LIG sea-level data from published papers in Southeast Asia. We identified 43 unique sea-level indicators (42 from coral reef terraces and 1 from a tidal notch) and compiled the data in the World Atlas of Last Interglacial Shorelines (WALIS).
Schmitty B. Thompson and Jessica R. Creveling
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The elevations of geological indicators of past sea level inform paleoclimate reconstructions of interglacial intervals, including changes in ice volume and equivalent sea level rise and fall. In this review article, we summarize previously reported elevations and chronologies of a global set of ~80 000- and ~100 000-year-old interglacial shorelines and compile these in the open-source World Atlas of Last Interglacial Shorelines (WALIS) database for further paleoclimate analysis.
Deirdre D. Ryan, Alastair J. H. Clement, Nathan R. Jankowski, and Paolo Stocchi
Earth Syst. Sci. Data, 13, 3399–3437, https://doi.org/10.5194/essd-13-3399-2021, https://doi.org/10.5194/essd-13-3399-2021, 2021
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Studies of ancient sea level and coastlines help scientists understand how coasts will respond to future sea-level rise. This work standardized the published records of sea level around New Zealand correlated with sea-level peaks within the Last Interglacial (~128 000–73 000 years ago) using the World Atlas of Last Interglacial Shorelines (WALIS) database. New Zealand has the potential to provide an important sea-level record with more detailed descriptions and improved age constraint.
Alexander R. Simms
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This study is part of a larger community effort to catalogue the elevation of sea levels approximately 120 000 years ago – a time period when global temperatures were generally warmer than they are today. For this specific study I summarized the work of other scientists who had determined the age and elevations of ancient shorelines and coral reefs from across the Gulf of Mexico and Yucatán Peninsula.
Bram C. van Prooijen, Marion F. S. Tissier, Floris P. de Wit, Stuart G. Pearson, Laura B. Brakenhoff, Marcel C. G. van Maarseveen, Maarten van der Vegt, Jan-Willem Mol, Frank Kok, Harriette Holzhauer, Jebbe J. van der Werf, Tommer Vermaas, Matthijs Gawehn, Bart Grasmeijer, Edwin P. L. Elias, Pieter Koen Tonnon, Giorgio Santinelli, José A. A. Antolínez, Paul Lodewijk M. de Vet, Ad J. H. M. Reniers, Zheng Bing Wang, Cornelis den Heijer, Carola van Gelder-Maas, Rinse J. A. Wilmink, Cor A. Schipper, and Harry de Looff
Earth Syst. Sci. Data, 12, 2775–2786, https://doi.org/10.5194/essd-12-2775-2020, https://doi.org/10.5194/essd-12-2775-2020, 2020
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To protect the Dutch coastal zone, sand is nourished and disposed at strategic locations. Simple questions like where, how, how much and when to nourish the sand are not straightforward to answer. This is especially the case around the Wadden Sea islands where sediment transport pathways are complicated. Therefore, a large-scale field campaign has been carried out on the seaward side of Ameland Inlet. Sediment transport, hydrodynamics, morphology and fauna in the bed were measured.
Panagiotis Athanasiou, Ap van Dongeren, Alessio Giardino, Michalis Vousdoukas, Sandra Gaytan-Aguilar, and Roshanka Ranasinghe
Earth Syst. Sci. Data, 11, 1515–1529, https://doi.org/10.5194/essd-11-1515-2019, https://doi.org/10.5194/essd-11-1515-2019, 2019
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This dataset provides the spatial distribution of nearshore slopes at a resolution of 1 km along the global coastline. The calculation was based on available global topo-bathymetric datasets and ocean wave reanalysis. The calculated slopes show skill in capturing the spatial variability of the nearshore slopes when compared against local observations. The importance of this variability is presented with a global coastal retreat assessment for an arbitrary sea level rise scenario.
Walter Brambilla, Alessandro Conforti, Simone Simeone, Paola Carrara, Simone Lanucara, and Giovanni De Falco
Earth Syst. Sci. Data, 11, 515–527, https://doi.org/10.5194/essd-11-515-2019, https://doi.org/10.5194/essd-11-515-2019, 2019
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The expected sea level rise by the year 2100 will determine an adaptation of the whole coastal system and the land retreat of the shoreline. Future scenarios coupled with the improvement of mining technologies will favour increased exploitation of sand deposits for nourishment. This work summarises a large data set of geophysical and sedimentological data that maps the spatial features of submerged sand deposits and is a useful tool in future climate change scenarios.
Ana Trobec, Martina Busetti, Fabrizio Zgur, Luca Baradello, Alberto Babich, Andrea Cova, Emiliano Gordini, Roberto Romeo, Isabella Tomini, Sašo Poglajen, Paolo Diviacco, and Marko Vrabec
Earth Syst. Sci. Data, 10, 1077–1092, https://doi.org/10.5194/essd-10-1077-2018, https://doi.org/10.5194/essd-10-1077-2018, 2018
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Following the last glacial period the sea level started rising rapidly. The sea started entering the Gulf of Trieste approximately 10000 years ago and since then marine Holocene sediment has been depositing. We wanted to understand how thick this sediment is, so we used modern scientific equipment which lets us determine the depth of the seafloor and the sediment below. The sediment is thickest in the SE part of the gulf (approx. 5 m). In the other parts it is very thin, except near the coast.
Hannes Grobe, Kyaw Winn, Friedrich Werner, Amelie Driemel, Stefanie Schumacher, and Rainer Sieger
Earth Syst. Sci. Data, 9, 969–976, https://doi.org/10.5194/essd-9-969-2017, https://doi.org/10.5194/essd-9-969-2017, 2017
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A unique archive of radiographs from ocean floor sediments was produced during five decades of marine geological work at the Geological-Paleontological Institute, Kiel University. The content of 18 500 images was digitized, uploaded to the data library PANGAEA, georeferenced and completed with metadata. With this publication the images are made available to the scientific community under a CC-BY licence, which is open-access and citable with the persistent identifier https://doi.org/10.1594/PANGAEA.854841.
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Short summary
A new digital map of the sediment types covering the bottom of the ocean has been created. Direct observations of the seafloor sediments are few and far apart. Therefore, machine learning was used to fill those gaps between observations. This was possible because known relationships between sediment types and the environment in which they form (e.g. water depth, temperature, and salt content) could be exploited. The results are expected to provide important information for marine research.
A new digital map of the sediment types covering the bottom of the ocean has been created....
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