Preprints
https://doi.org/10.5194/essd-2021-280
https://doi.org/10.5194/essd-2021-280
 
12 Nov 2021
12 Nov 2021
Status: a revised version of this preprint is currently under review for the journal ESSD.

Ordovician to Silurian graptolite specimen images for global correlation and shale gas exploration

Hong-He Xu1,, Zhi-Bin Niu1,2,, Yan-Sen Chen1, Xuan Ma1, Xiao-Jing Tong1, Yi-Tong Sun1, Xiao-Yan Dong1, Dan-Ni Fan1, Shuang-Shuang Song1, Yan-Yan Zhu1, Ning Yang1, and Qing Xia1 Hong-He Xu et al.
  • 1State Key Laboratory of Palaeobiology and Stratigraphy, Nanjing Institute of Geology and Palaeontology and Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, 210008 Nanjing, China
  • 2College of Intelligence and Computing, Tianjin University, 300354 Tianjin, China
  • The authors contributed equally to this work.

Abstract. Multi- elemental and -dimensional data are more and more important during the development of data-driven research, as is the case in modern palaeontology, in which visual examination, by experts or someday the artificial intelligence, to every fossil specimen acts a crucial and fundamental role. We here release an integrated image dataset of 113 Ordovician to Silurian graptolite species or subspecies that are significant in global stratigraphy and shale gas exploration. The dataset contains 1550 high-resolution graptolite specimen images and scientific information related to the specimen, e.g., every specimen's taxonomic, geologic, geographic, and related references. We develop a tool, FSIDvis (Fossil Specimen Image Dataset Visualiser), to facilitate the human-interactive exploration of the rich-attribution image dataset. A nonlinear dimension reduction technique, t-SNE (t-Distributed Stochastic Neighbor Embedding), is employed to project the images into the two-dimensional space to visualise and explore the similarities. Our dataset potentially contributes to the analysis of the global biostratigraphic correlations and improves the shale gas exploration efficiency by developing an image-based automated classification model. All images are available from https://doi.org/10.5281/zenodo.5205216 (Xu, 2021).

Hong-He Xu et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on essd-2021-280', Zhibin Niu, 14 Nov 2021
    • AC1: 'Reply on CC1', Honghe Xu, 18 Nov 2021
  • CC2: 'Comment on essd-2021-280', Zhaohui Pan, 14 Nov 2021
    • AC2: 'Reply on CC2', Honghe Xu, 18 Nov 2021
      • CC3: 'Reply on AC2', Min Zhu, 19 Nov 2021
  • CC4: 'Comment on essd-2021-280', Ting Nie, 19 Nov 2021
  • RC1: 'Comment on essd-2021-280', Anonymous Referee #1, 23 Nov 2021
    • AC3: 'Reply on RC1', Honghe Xu, 07 Dec 2021
  • RC2: 'Comment on essd-2021-280', Anonymous Referee #2, 04 Feb 2022
    • AC4: 'Reply on RC2', Honghe Xu, 25 Feb 2022

Hong-He Xu et al.

Data sets

High-resolution images of 1550 Ordovician to Silurian graptolite specimens for global correlation and shale gas exploration Xu, Honghe https://doi.org/10.5281/zenodo.5205216

Hong-He Xu et al.

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Short summary
We release a unique graptolite image dataset, which consists of 113 key graptolite species used for dating rocks, global correlation, and “gold caliper” for locating shale gas FEBs in China. All images were taken from 1,550 carefully curated graptolite specimens collected from the Ordovician to Silurian sediments of China.