Abstract. 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 (t-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 https://doi.org/10.5281/zenodo.6688670 (Xu, 2022).

中文翻译：

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用于虚拟检查、全球对比和页岩气勘探的奥陶纪至志留纪笔石标本的多维数据集

摘要。多元素和多维数据在数据驱动研究的发展中越来越重要，就像现代古生物学一样，在专家的检查中，或者有一天的人工智能中，每一个化石标本都扮演着一个角色。基础作用。我们在这里发布了一个包含 1550 个笔石标本的数据集，这些标本代表了 113 个在全球地层对比和页岩气勘探中具有重要意义的奥陶纪至志留纪笔石物种或亚种。该数据集包含 2951 张高分辨率图像和每个标本科学信息的数据表，包括分类学、地质学和地理信息、评论和参考文献。我们的数据集为全世界的专家或外行提供图像，由 FSIDvis（化石标本图像数据集可视化工具）工具支持，我们开发它是为了促进丰富属性图像数据集的交互式探索，包括非线性降维技术 t-SNE（t 分布随机邻域嵌入），将图像数据投影到二维空间以可视化和探索相似之处。我们的数据集可能有助于标本的虚拟检查、全球生物地层对比和提高页岩气勘探效率。所有数据、图像和电子表格均可在 https://doi.org/10.5281/zenodo.6688670（Xu，2022）上获得。将图像数据投影到二维空间中以可视化和探索相似性。我们的数据集可能有助于标本的虚拟检查、全球生物地层对比和提高页岩气勘探效率。所有数据、图像和电子表格均可在 https://doi.org/10.5281/zenodo.6688670（Xu，2022）上获得。将图像数据投影到二维空间中以可视化和探索相似性。我们的数据集可能有助于标本的虚拟检查、全球生物地层对比和提高页岩气勘探效率。所有数据、图像和电子表格均可在 https://doi.org/10.5281/zenodo.6688670（Xu，2022）上获得。