A multi-dimensional dataset of Ordovician to Silurian graptolite specimens for virtual examination, global correlation, and shale gas exploration
<p>Multi-elemental and multi-dimensional data are more and more important in the development of data-driven research, as is the case in modern paleontology, in which, in an examination by experts, or some day artificial intelligence, every fossil specimen plays a fundamental role. We here rele...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2023-06-01
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| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/15/2213/2023/essd-15-2213-2023.pdf |
| _version_ | 1797814373249449984 |
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| author | H.-H. Xu Z.-B. Niu Z.-B. Niu Y.-S. Chen X. Ma X.-J. Tong Y.-T. Sun X.-Y. Dong D.-N. Fan S.-S. Song Y.-Y. Zhu N. Yang Q. Xia |
| author_facet | H.-H. Xu Z.-B. Niu Z.-B. Niu Y.-S. Chen X. Ma X.-J. Tong Y.-T. Sun X.-Y. Dong D.-N. Fan S.-S. Song Y.-Y. Zhu N. Yang Q. Xia |
| author_sort | H.-H. Xu |
| collection | DOAJ |
| description | <p>Multi-elemental and multi-dimensional data are more and more important in the development of data-driven research, as is the case in modern paleontology, in which, in an examination by experts, or some day artificial intelligence, every fossil specimen plays a fundamental role. We here release a dataset of 1550
graptolite specimens representing 113 Ordovician to Silurian graptolite
species or subspecies that are significant in global stratigraphic
correlation and shale gas exploration. The dataset contains 2951
high-resolution images and a data table of each specimen's scientific
information, including the taxonomic, geologic, and geographic information, comments, and references. Our dataset provides images for specialists or laypeople worldwide, is supported by the tool FSIDvis (Fossil Specimen Image Dataset
Visualizer), which we developed to facilitate the interactive
exploration of the rich-attribution image dataset, and includes a nonlinear-dimension reduction technique, t-SNE (<span class="inline-formula"><i>t</i></span>-distributed stochastic neighbor embedding), to project image data into a two-dimensional space to visualize and explore the similarities. Our dataset potentially contributes to virtual examinations of specimens, global bio-stratigraphic correlation, and improvement of the shale gas exploration efficiency. All data, images and the spreadsheet are available at <a href="https://doi.org/10.5281/zenodo.6688670">https://doi.org/10.5281/zenodo.6688670</a> (Xu, 2022).</p> |
| first_indexed | 2024-03-13T08:06:45Z |
| format | Article |
| id | doaj.art-dbc5b6004a7e446ab49e0dcbfca12de3 |
| institution | Directory Open Access Journal |
| issn | 1866-3508 1866-3516 |
| language | English |
| last_indexed | 2024-03-13T08:06:45Z |
| publishDate | 2023-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Earth System Science Data |
| spelling | doaj.art-dbc5b6004a7e446ab49e0dcbfca12de32023-06-01T05:12:10ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162023-06-01152213222110.5194/essd-15-2213-2023A multi-dimensional dataset of Ordovician to Silurian graptolite specimens for virtual examination, global correlation, and shale gas explorationH.-H. Xu0Z.-B. Niu1Z.-B. Niu2Y.-S. Chen3X. Ma4X.-J. Tong5Y.-T. Sun6X.-Y. Dong7D.-N. Fan8S.-S. Song9Y.-Y. Zhu10N. Yang11Q. Xia12State 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, ChinaState 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, ChinaCollege of Intelligence and Computing, Tianjin University, 300354 Tianjin, ChinaState 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, ChinaState 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, ChinaState 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, ChinaState 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, ChinaState 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, ChinaState 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, ChinaState 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, ChinaState 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, ChinaState 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, ChinaState 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<p>Multi-elemental and multi-dimensional data are more and more important in the development of data-driven research, as is the case in modern paleontology, in which, in an examination by experts, or some day artificial intelligence, every fossil specimen plays a fundamental role. We here release a dataset of 1550 graptolite specimens representing 113 Ordovician to Silurian graptolite species or subspecies that are significant in global stratigraphic correlation and shale gas exploration. The dataset contains 2951 high-resolution images and a data table of each specimen's scientific information, including the taxonomic, geologic, and geographic information, comments, and references. Our dataset provides images for specialists or laypeople worldwide, is supported by the tool FSIDvis (Fossil Specimen Image Dataset Visualizer), which we developed to facilitate the interactive exploration of the rich-attribution image dataset, and includes a nonlinear-dimension reduction technique, t-SNE (<span class="inline-formula"><i>t</i></span>-distributed stochastic neighbor embedding), to project image data into a two-dimensional space to visualize and explore the similarities. Our dataset potentially contributes to virtual examinations of specimens, global bio-stratigraphic correlation, and improvement of the shale gas exploration efficiency. All data, images and the spreadsheet are available at <a href="https://doi.org/10.5281/zenodo.6688670">https://doi.org/10.5281/zenodo.6688670</a> (Xu, 2022).</p>https://essd.copernicus.org/articles/15/2213/2023/essd-15-2213-2023.pdf |
| spellingShingle | H.-H. Xu Z.-B. Niu Z.-B. Niu Y.-S. Chen X. Ma X.-J. Tong Y.-T. Sun X.-Y. Dong D.-N. Fan S.-S. Song Y.-Y. Zhu N. Yang Q. Xia A multi-dimensional dataset of Ordovician to Silurian graptolite specimens for virtual examination, global correlation, and shale gas exploration Earth System Science Data |
| title | A multi-dimensional dataset of Ordovician to Silurian graptolite specimens for virtual examination, global correlation, and shale gas exploration |
| title_full | A multi-dimensional dataset of Ordovician to Silurian graptolite specimens for virtual examination, global correlation, and shale gas exploration |
| title_fullStr | A multi-dimensional dataset of Ordovician to Silurian graptolite specimens for virtual examination, global correlation, and shale gas exploration |
| title_full_unstemmed | A multi-dimensional dataset of Ordovician to Silurian graptolite specimens for virtual examination, global correlation, and shale gas exploration |
| title_short | A multi-dimensional dataset of Ordovician to Silurian graptolite specimens for virtual examination, global correlation, and shale gas exploration |
| title_sort | multi dimensional dataset of ordovician to silurian graptolite specimens for virtual examination global correlation and shale gas exploration |
| url | https://essd.copernicus.org/articles/15/2213/2023/essd-15-2213-2023.pdf |
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