Articles | Volume 15, issue 5
https://doi.org/10.5194/essd-15-2213-2023
© Author(s) 2023. 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-15-2213-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
01 Jun 2023
Data description paper |
| 01 Jun 2023
| 01 Jun 2023
A multi-dimensional dataset of Ordovician to Silurian graptolite specimens for virtual examination, global correlation, and shale gas exploration
State Key Laboratory of Palaeobiology and Stratigraphy, Nanjing
Institute of Geology and Paleontology and Center for Excellence in Life and
Paleoenvironment, Chinese Academy of Sciences, 210008 Nanjing, China
State Key Laboratory of Palaeobiology and Stratigraphy, Nanjing
Institute of Geology and Paleontology and Center for Excellence in Life and
Paleoenvironment, Chinese Academy of Sciences, 210008 Nanjing, China
College of Intelligence and Computing, Tianjin University, 300354
Tianjin, China
Yan-Sen Chen
State Key Laboratory of Palaeobiology and Stratigraphy, Nanjing
Institute of Geology and Paleontology and Center for Excellence in Life and
Paleoenvironment, Chinese Academy of Sciences, 210008 Nanjing, China
Xuan Ma
State Key Laboratory of Palaeobiology and Stratigraphy, Nanjing
Institute of Geology and Paleontology and Center for Excellence in Life and
Paleoenvironment, Chinese Academy of Sciences, 210008 Nanjing, China
Xiao-Jing Tong
State Key Laboratory of Palaeobiology and Stratigraphy, Nanjing
Institute of Geology and Paleontology and Center for Excellence in Life and
Paleoenvironment, Chinese Academy of Sciences, 210008 Nanjing, China
Yi-Tong Sun
State Key Laboratory of Palaeobiology and Stratigraphy, Nanjing
Institute of Geology and Paleontology and Center for Excellence in Life and
Paleoenvironment, Chinese Academy of Sciences, 210008 Nanjing, China
Xiao-Yan Dong
State Key Laboratory of Palaeobiology and Stratigraphy, Nanjing
Institute of Geology and Paleontology and Center for Excellence in Life and
Paleoenvironment, Chinese Academy of Sciences, 210008 Nanjing, China
Dan-Ni Fan
State Key Laboratory of Palaeobiology and Stratigraphy, Nanjing
Institute of Geology and Paleontology and Center for Excellence in Life and
Paleoenvironment, Chinese Academy of Sciences, 210008 Nanjing, China
Shuang-Shuang Song
State Key Laboratory of Palaeobiology and Stratigraphy, Nanjing
Institute of Geology and Paleontology and Center for Excellence in Life and
Paleoenvironment, Chinese Academy of Sciences, 210008 Nanjing, China
Yan-Yan Zhu
State Key Laboratory of Palaeobiology and Stratigraphy, Nanjing
Institute of Geology and Paleontology and Center for Excellence in Life and
Paleoenvironment, Chinese Academy of Sciences, 210008 Nanjing, China
Ning Yang
State Key Laboratory of Palaeobiology and Stratigraphy, Nanjing
Institute of Geology and Paleontology and Center for Excellence in Life and
Paleoenvironment, Chinese Academy of Sciences, 210008 Nanjing, China
Qing Xia
State Key Laboratory of Palaeobiology and Stratigraphy, Nanjing
Institute of Geology and Paleontology and Center for Excellence in Life and
Paleoenvironment, Chinese Academy of Sciences, 210008 Nanjing, China
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We introduce here a comprehensive database of stratigraphy and palaeontology biodiversity, the Geobiodiversity Database (GBDB). The GBDB collects and provides a big volume of fossil and stratum record data and aims to be more widely used by geoscientists and contribute to better quantitative research on palaeontology and stratigraphy, and furthermore, to a deeper understanding of the evolution of life and of Earth's history.
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We introduce here a comprehensive database of stratigraphy and palaeontology biodiversity, the Geobiodiversity Database (GBDB). The GBDB collects and provides a big volume of fossil and stratum record data and aims to be more widely used by geoscientists and contribute to better quantitative research on palaeontology and stratigraphy, and furthermore, to a deeper understanding of the evolution of life and of Earth's history.
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Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-40, https://doi.org/10.5194/essd-2020-40, 2020
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We present the Geobiodiversity database (GBDB), a comprehensive stratigraphic and palaeontological database. It includes abundant geological records and contributes research on early Palaeozoic palaeogeography, tectonic and biodiversity evolution of China. Besides data collecting, processing and visualization, the team pays more attention to data analyzing with Artificial Intelligence. GBDB is to push forward the quantitative research of palaeontology and stratigraphy in the era of big data.
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Zhuoxuan Xia, Lingcao Huang, Chengyan Fan, Shichao Jia, Zhanjun Lin, Lin Liu, Jing Luo, Fujun Niu, and Tingjun Zhang
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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
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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
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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.
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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.
A multi-dimensional and integrated dataset of fossil specimens is described. The dataset...
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