Articles | Volume 14, issue 3
https://doi.org/10.5194/essd-14-1345-2022
© Author(s) 2022. 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-14-1345-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
25 Mar 2022
Data description paper |
| 25 Mar 2022
| 25 Mar 2022
Beach-face slope dataset for Australia
Water Research Laboratory, School of Civil and Environmental
Engineering, UNSW Sydney, 110 King Street, Manly Vale, NSW 2093, Australia
Wen Deng
Water Research Laboratory, School of Civil and Environmental
Engineering, UNSW Sydney, 110 King Street, Manly Vale, NSW 2093, Australia
Mitchell Dean Harley
Water Research Laboratory, School of Civil and Environmental
Engineering, UNSW Sydney, 110 King Street, Manly Vale, NSW 2093, Australia
Ian Lloyd Turner
Water Research Laboratory, School of Civil and Environmental
Engineering, UNSW Sydney, 110 King Street, Manly Vale, NSW 2093, Australia
Kristen Dena Marie Splinter
Water Research Laboratory, School of Civil and Environmental
Engineering, UNSW Sydney, 110 King Street, Manly Vale, NSW 2093, Australia
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Lea Uebelhoer, William Koon, Mitchell D. Harley, Jasmin C. Lawes, and Robert W. Brander
Nat. Hazards Earth Syst. Sci., 22, 909–926, https://doi.org/10.5194/nhess-22-909-2022, https://doi.org/10.5194/nhess-22-909-2022, 2022
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Beachgoers at unpatrolled Australian beaches were surveyed to gain an understanding of their demographics, beach safety knowledge, and behaviour. Most visited unpatrolled beaches out of convenience and because they wanted to visit a quiet location. Despite being infrequent beachgoers, with poor swimming and hazard identification skills, most intended to enter the water. Authorities should go beyond the
swim between the flagssafety message, as people will always swim at unpatrolled beaches.
Tomas Beuzen, Evan B. Goldstein, and Kristen D. Splinter
Nat. Hazards Earth Syst. Sci., 19, 2295–2309, https://doi.org/10.5194/nhess-19-2295-2019, https://doi.org/10.5194/nhess-19-2295-2019, 2019
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Wave runup is important for characterizing coastal vulnerability to wave action; however, it is complex and uncertain to predict. We use machine learning with a high-resolution dataset of wave runup to develop an accurate runup predictor that includes prediction uncertainty. We show how uncertainty in wave runup predictions can be used practically in a model of dune erosion to make ensemble predictions that provide more information and greater predictive skill than a single deterministic model.
Eli D. Lazarus, Mitchell D. Harley, Chris E. Blenkinsopp, and Ian L. Turner
Earth Surf. Dynam., 7, 77–86, https://doi.org/10.5194/esurf-7-77-2019, https://doi.org/10.5194/esurf-7-77-2019, 2019
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A single storm event can change the shape of a sandy beach dramatically, but beaches also exhibit a remarkable ability to recover. So how important are storm-driven changes to a beach in the long term? This question affects predictions of future shoreline change. Here we explore
signal shredding– when sediment transport erases any signature of outside driving forces. Our results suggest that major storm impacts may tell us little about long-term shoreline change and vice versa.
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The Modern Ocean Sediment Archive and Inventory of Carbon (MOSAIC): version 2.0
Large freshwater-influx-induced salinity gradient and diagenetic changes in the northern Indian Ocean dominate the stable oxygen isotopic variation in Globigerinoides ruber
Last interglacial sea-level proxies in the Korean Peninsula
A review of last interglacial sea-level proxies in the western Atlantic and southwestern Caribbean, from Brazil to Honduras
Last Interglacial sea-level proxies in the western Mediterranean
A standardized database of Last Interglacial (MIS 5e) sea-level indicators in Southeast Asia
A global database of marine isotope substage 5a and 5c marine terraces and paleoshoreline indicators
The last interglacial sea-level record of Aotearoa New Zealand
Last interglacial sea levels within the Gulf of Mexico and northwestern Caribbean Sea
Deep-sea sediments of the global ocean
Measurements of hydrodynamics, sediment, morphology and benthos on Ameland ebb-tidal delta and lower shoreface
Global distribution of nearshore slopes with implications for coastal retreat
Data set of submerged sand deposits organised in an interoperable spatial data infrastructure (Western Sardinia, Mediterranean Sea)
Thickness of marine Holocene sediment in the Gulf of Trieste (northern Adriatic Sea)
The GIK-Archive of sediment core radiographs with documentation
Sarah Paradis, Justin Tiano, Emil De Borger, Antonio Pusceddu, Clare Bradshaw, Claudia Ennas, Claudia Morys, and Marija Sciberras
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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DISOM is a database that compiles data of 71 independent studies that assess the effect of demersal fisheries on sedimentological and biogeochemical properties. This database also provides crucial metadata (i.e. environmental and fishing descriptors) needed to understand the effects of demersal fisheries in a global context.
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.
Zhen Li, Jinyun Guo, Chengcheng Zhu, Xin Liu, Cheinway Hwang, Sergey Lebedev, Xiaotao Chang, Anatoly Soloviev, and Heping Sun
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-484, https://doi.org/10.5194/essd-2023-484, 2024
Revised manuscript accepted for ESSD
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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 others models. The spatial resolution of SDUST2022GRA is approximately 20 km in a certain region, slightly better superior others models. These assessments suggests that SDUST2022GRA is a reliable global marine gravity anomaly model.
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
Earth Syst. Sci. Data, 15, 4613–4629, https://doi.org/10.5194/essd-15-4613-2023, https://doi.org/10.5194/essd-15-4613-2023, 2023
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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.
Sarah Paradis, Kai Nakajima, Tessa S. Van der Voort, Hannah Gies, Aline Wildberger, Thomas M. Blattmann, Lisa Bröder, and Timothy I. Eglinton
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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MOSAIC is a database of global organic carbon in marine sediments. This new version holds more than 21 000 sediment cores and includes new variables to interpret organic carbon distribution, such as sedimentological parameters and biomarker signatures. MOSAIC also stores data from specific sediment and molecular fractions to better understand organic carbon degradation and ageing. This database is continuously expanding, and version control will allow reproducible research outputs.
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
Earth Syst. Sci. Data, 15, 171–187, https://doi.org/10.5194/essd-15-171-2023, https://doi.org/10.5194/essd-15-171-2023, 2023
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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.
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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This work is part of the World Atlas of Last Interglacial Shorelines (WALIS), whose aim is to construct a database of Last Interglacial (LIG) relative sea-level (RSL) indicators from across the globe. This paper reviews the LIG sea-level constraints from the Korean Peninsula entered into the online WALIS database. This paper including the dataset will contribute to reconstructing global LIG sea-level changes and regional LIG RSL in the Korean Peninsula.
Karla Rubio-Sandoval, Alessio Rovere, Ciro Cerrone, Paolo Stocchi, Thomas Lorscheid, Thomas Felis, Ann-Kathrin Petersen, and Deirdre D. Ryan
Earth Syst. Sci. Data, 13, 4819–4845, https://doi.org/10.5194/essd-13-4819-2021, https://doi.org/10.5194/essd-13-4819-2021, 2021
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The Last Interglacial (LIG) is a warm period characterized by a higher-than-present sea level. For this reason, scientists use it as an analog for future climatic conditions. In this paper, we use the World Atlas of Last Interglacial Shorelines database to standardize LIG sea-level data along the coasts of the western Atlantic and mainland Caribbean, identifying 55 unique sea-level indicators.
Ciro Cerrone, Matteo Vacchi, Alessandro Fontana, and Alessio Rovere
Earth Syst. Sci. Data, 13, 4485–4527, https://doi.org/10.5194/essd-13-4485-2021, https://doi.org/10.5194/essd-13-4485-2021, 2021
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The paper is a critical review and standardization of 199 published scientific papers to compile a Last Interglacial sea-level database for the Western Mediterranean sector. In the database, 396 sea-level data points associated with 401 dated samples are included. The relative sea-level data points and associated ages have been ranked on a 0 to 5 scale score.
Kathrine Maxwell, Hildegard Westphal, and Alessio Rovere
Earth Syst. Sci. Data, 13, 4313–4329, https://doi.org/10.5194/essd-13-4313-2021, https://doi.org/10.5194/essd-13-4313-2021, 2021
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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
Earth Syst. Sci. Data, 13, 3467–3490, https://doi.org/10.5194/essd-13-3467-2021, https://doi.org/10.5194/essd-13-3467-2021, 2021
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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
Earth Syst. Sci. Data, 13, 1419–1439, https://doi.org/10.5194/essd-13-1419-2021, https://doi.org/10.5194/essd-13-1419-2021, 2021
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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.
Markus Diesing
Earth Syst. Sci. Data, 12, 3367–3381, https://doi.org/10.5194/essd-12-3367-2020, https://doi.org/10.5194/essd-12-3367-2020, 2020
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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.
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
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.
Along the world's coastlines, we find sandy beaches that are constantly reshaped by ocean waves...
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