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Fig. 5. Hybovalgus bioculatus Kolbe, 1904 in Revision of Chinese mainland Hybovalgus Kolbe, 1904, with description of a new species, and Excisivalgus Endrödi, 1952 reduced to synonymy with Hybovalgus (Coleoptera: Scarabaeidae)
Fig. 5. Hybovalgus bioculatus Kolbe, 1904 (ERC). A–E. ♂. A. Habitus, dorsal view. B. Propygidium and pygidium. C–E. Aedeagus (grey: parameres; white: phallobase). C. Dorsal view. D. Lateral view. E. Posterior view. F–G. ♀. F. Habitus, dorsal view. G. Propygidium and pygidium.
Figure 10 in Chinese psyllids in the genus Cacopsylla (Hemiptera: Sternorrhyncha: Psylloidea) associated with Spiraea (Rosaceae)
Figure 10. Photographs of dried specimens of Cacopsylla spp., adult. (a–b) C. falcata sp. nov.; (c–d) C. hyalinonemae Li and Yang, 1989; (e–f) C. nocturna sp. nov.; (g–h) C. qilianensis sp. nov.; (i–j) C. spiraeicola (Li, 2011). a, c, e, g, i. lateral view; b, d, f, h, j. dorsal view. Scale bar = 1 mm.
Figure 2 in Chinese psyllids in the genus Cacopsylla (Hemiptera: Sternorrhyncha: Psylloidea) associated with Spiraea (Rosaceae)
Figure 2. Cacopsylla falcata sp. nov., fifth instar immature. (a) Overall view, dorsal aspect on the left half, ventral aspect on the right half; (b) tarsal arolium; (c) anal pore field. Scale bar: a = 0.31 mm; b = 0.031 mm; c = 0.124 mm.
Figure 3. Cacopsylla hyalinonemae Li in Chinese psyllids in the genus Cacopsylla (Hemiptera: Sternorrhyncha: Psylloidea) associated with Spiraea (Rosaceae)
Figure 3. Cacopsylla hyalinonemae Li and Yang, 1989, adult. (a) Head, front view, antennae removed; (b) male terminalia, in profile, ignoring distal segment of aedeagus and phallobase; (c) inner view of paramere; (d) distal segment of aedeagus; (e) female terminalia, in profile; (f) fore wing; (g) hind wing; (h) distal two segments of antenna. Scale bar: a = 0.286 mm; b = 0.155 mm; c, d, h = 0.124 mm; e = 0.167 mm; f, g = 0.714 mm.
Figure 1 in Chinese psyllids in the genus Cacopsylla (Hemiptera: Sternorrhyncha: Psylloidea) associated with Spiraea (Rosaceae)
Figure 1. Cacopsylla falcata sp. nov., adult. (a) Head, front view, antennae removed; (b) male terminalia, in profile, ignoring distal segment of aedeagus and phallobase; (c) inner view of paramere; (d) distal segment of aedeagus; (e) female terminalia, in profile; (f) fore wing; (g) distal two segments of antenna. Scale bar: a = 0.25 mm; b, e = 0.155 mm; c, d, g = 0.124 mm; f = 0.625 mm.
Figure 8 in Chinese psyllids in the genus Cacopsylla (Hemiptera: Sternorrhyncha: Psylloidea) associated with Spiraea (Rosaceae)
Figure 8. Microscopic photograph of fore wing membrane of Cacopsylla spp., showing texture of surface spinules. (a) C. falcata sp. nov.; (b) C. hyalinonemae Li and Yang, 1989; (c) C. nocturna sp. nov.; (d) C. qilianensis sp. nov.; (e) C. spiraeicola (Li, 2011).
Figure 5 in A revisional study of the Chinese species of Amphiops Erichson (Coleoptera, Hydrophilidae, Chaetarthriini)
Figure 5. Aedeagi. (A) Amphiops coomani; (B) Amphiops coelopunctatus; (C–F Amphiops mirabilis, from (C) Guangzhou, (E) Hainan and (D, F) Yunnan; (G, H) Amphiops mater from (G) Guangdong and (H) Yunnan.
Figure 4 in A revisional study of the Chinese species of Amphiops Erichson (Coleoptera, Hydrophilidae, Chaetarthriini)
Figure 4. (A–F) Amphiops yunnanensis Pu. (A) Habitus (dorsal view); (B) habitus (ventral view); (C) head and pronotum; (D) lateral portion of pronotum and elytra; (E) elytra; (F) type data. (G–I) Amphiops mirabilis Sharp. (G) Habitus; (H) lateral portion of elytra; (I) elytra.
Figure 3 in A revisional study of the Chinese species of Amphiops Erichson (Coleoptera, Hydrophilidae, Chaetarthriini)
Figure 3. Amphiops mater Sharp. (A) Habitus, ventral view; (B) elytra (from Guangzhou); (C) elytral apex; (D, E) lateral portion of elytra.
A Chinese female Morvan patient with LGI1 and CASPR2 antibodies: a case report
<p>Figure 1-2 of the case and the original photos under fluorescence microscope. Fig. 1 Cranial MRI of our patient. Fig. 2 The immunoreactivity of patient’s serum to CASPR2 and LGI1 proteins.</p>
Traditional Chinese Medicine Multidimensional Knowledge Graph
<h3>Overview of the Traditional Chinese Medicine Multi-dimensional Knowledge Graph (TCM-MKG)</h3> <p>The <strong>Traditional Chinese Medicine Multi-dimensional Knowledge Graph (TCM-MKG)</strong> is a comprehensive, open-source data platform developed by Jingqi Zeng in November 2024. This platform aims to integrate and standardize a vast array of data from multiple sources, encompassing both traditional Chinese medicine (TCM) and modern biomedical sciences. By organizing and linking this diverse information, TCM-MKG acts as a bridge that connects the ancient wisdom of TCM with contemporary medical research and applications.</p> <h3>Key Features and Objectives:</h3> <ul> <li> <p><strong>Multi-source Data Integration</strong>: TCM-MKG consolidates data from over 30 authoritative resources, covering a broad spectrum of topics, including TCM terminology, Chinese patent medicines (CPM), Chinese herbal pieces (CHP), natural products (NP), chemical components, disease targets, and more. These data sources are carefully curated and interlinked, ensuring a rich, multi-dimensional view of TCM in relation to modern biomedical research. The platform incorporates data from reputable databases such as DrugBank, BioGRID, DisGeNET, STRING, and many others, ensuring that the TCM knowledge is not only expansive but also scientifically robust and cross-referenced with global biomedical standards.</p> </li> <li> <p><strong>Standardized Design for Global Interoperability</strong>: TCM-MKG adheres to international data standards and integrates with widely-used global medical classification systems such as ICD-11, UMLS, MeSH, and DOID. This ensures that the platform’s data is globally comparable and facilitates easy integration with international research efforts, promoting collaboration and knowledge exchange across the fields of TCM and modern medicine.</p> </li> <li> <p><strong>Open Source and Collaborative</strong>: In line with its mission to enhance transparency and accessibility, TCM-MKG is open-sourced in a structured tabular format. This allows researchers worldwide to freely access, contribute to, and expand upon the data, fostering interdisciplinary collaboration and accelerating innovation in both TCM research and modern medicine.</p> </li> <li> <p><strong>Advanced Analytical Capabilities</strong>: By leveraging the power of knowledge graph technology and graph-based intelligence algorithms, TCM-MKG supports deep data mining and relational reasoning. Researchers can uncover hidden associations between TCM components, diseases, and targets, providing insights into the mechanisms of herbal interactions and offering new pathways for drug discovery and therapeutic research.</p> </li> </ul> <h3>Personal Research Application:</h3> <p>Using the TCM-MKG platform, I conducted a study titled <strong>"Graph Neural Networks for Quantifying Compatibility Mechanisms in Traditional Chinese Medicine."</strong> This research applied advanced graph intelligence algorithms to quantitatively assess the compatibility mechanisms of Chinese herbal formulas (CHF). The study provides fresh insights into the underlying principles of TCM herbal combinations.</p> <p>This research has been published:</p> <p><strong>Zeng, J., & Jia, X. (2025). Quantifying compatibility mechanisms in traditional Chinese medicine with interpretable graph neural networks. <em>Journal of Pharmaceutical Analysis</em>, 101342. <a href="https://doi.org/10.1016/j.jpha.2025.101342">https://doi.org/10.1016/j.jpha.2025.101342</a></strong></p> <p>The code and methodology for this research have been open-sourced and are available on <a href="https://github.com/ZENGJingqi/GraphAI-for-TCM" target="_new" rel="noopener">GitHub</a>.</p> <h3>Acknowledgments:</h3> <p>This work benefited from the integration of data from numerous open-access and authoritative databases. We acknowledge the valuable contributions of resources such as DrugBank, BindingDB, BioGRID, DisGeNET, and many others. These datasets provided essential insights into TCM, modern drug chemistry, genetics, diseases, and related fields, forming the foundation for the traditional Chinese medicine multi-dimensional knowledge graph (TCM-MKG) used in this study. Furthermore, we utilized the PSICHIC model (https://github. com/huankoh/PSICHIC) to analyze the binding interactions between components and targets. Full citations for these resources are included.</p> <h3>Contact Information:</h3> <p>For further inquiries or more detailed information, please feel free to contact:<br><strong>Email</strong>: <a rel="noopener">zjingqi@163.com</a></p> <p> </p>
Development and impact analysis of ground motion datasets for potential strong-to-great seismic scenarios in Chinese mainland
<p>地震动情景数据对于评估地震灾害损失至关重要,并且是协作式多学科地震风险分析和区域灾害预防的基础要素。这项研究根据地震灾害分区数据确定了 50 个潜在的地震成因位置,并得到了地质和地震学证据的支持。根据潜在的损坏程度选择了四个震级(Mw 6.5、Mw 7.0、Mw 7.5 和 Mw 8.0),最终建立了 200 个地震情景。该数据集包括峰值地面加速度 (PGA)、峰值地面速度 (PGV) 和地震强度,是使用之前在应急响应中验证的强大 GMPE 生成的。这为灾害预防、减灾和城市规划提供了有用的支持,使其适用于许多分析需求。</p> <p><strong><em>注意: </em> 这是对高风险地震断层地震情景的模拟,旨在帮助决策者采取主动措施来减轻潜在地震的影响。它还为相关研究人员提供了一组可用的数据资源。请不要使用这些数据来生成或传播错误信息!</strong></p>
Chinese Policy Documents Database, 2018 - 2023
<p>This database presents a comprehensive collection of Chinese policy documents issued by the State Council and the Central Committee (incl. their general offices) over the past five years, spanning from January 2018 to January 2023. While the database only contains central level policy documents, it is important to note that policy documents are issued at each of China's five administrative levels (national, provincial, prefecture, county, and township) contributing to a complex and multifaceted governance system. However, the central level documents in this database provide guidance and direction for lower-level policy content, and lower-level documents often refer directly to the State Council or Central Committee policy documents.</p><p>The policy documents in the database originate from the authorities listed in Table 1. Some documents are co-published – typically a combination of the Central Committee general office and State Council general office.</p><p>The database (access here: https://chinahorizons.eu/our-research/database/chinese-party-state-politics-a-catalogue-of-policy-documents )consists of 1) pdf files containing the actual documents, and 2) excel sheets with lists of documents for each year (2018-2023). In the excel sheets you will find a "publication date", which works as identifier for the pdf files. In addition, the excel sheets lists information on each document: issuing authority, document number (if any) and type, issue area, document tittle in Chinese and English as well as the online source of the document. </p>
Figures 23–34 in Chinese species of the genus Tricondyla Latreille, 1822 (Coleoptera: Cicindelidae) and a new record for the country
Figures 23–34. Aedeagus, scale = 1 mm. 23–24) Tricondyla wiesneri Naviaux, 2002. 23) Left lateral view. 24) Ventral view. 25–26) Tricondyla mellyi Chaudoir, 1850. 25) Left lateral view. 26) Ventral view. 27–28) Tricondyla pulchripes White, 1844. 27) Left lateral view. 28) Ventral view. 29–30) Tricondyla stricticeps Chaudoir, 1864. 29) Left lateral view. 30) Ventral view. 31–32) Tricondyla gestroi scabra Fleutiaux, 1920. 31) Left lateral view. 32) Ventral view. 33–34) Tricondyla macrodera abruptesculpta Horn, 1925. 33) Left lateral view. 34) Ventral view.
Figures 19–22. Tricondyla macrodera abruptesculpta Horn, 1925 in Chinese species of the genus Tricondyla Latreille, 1822 (Coleoptera: Cicindelidae) and a new record for the country
Figures 19–22. Tricondyla macrodera abruptesculpta Horn, 1925, scale = 5 mm. 19) Dorsal view, male. 20) Left lateral view, male. 21) Dorsal view, female. 22) Left lateral view, female.
Figures 15–18. Tricondyla gestroi scabra Fleutiaux, 1920 in Chinese species of the genus Tricondyla Latreille, 1822 (Coleoptera: Cicindelidae) and a new record for the country
Figures 15–18. Tricondyla gestroi scabra Fleutiaux, 1920, scale = 5 mm. 15) Dorsal view, male. 16) Left lateral view, male. 17) Dorsal view, female. 18) Left lateral view, female.
Figures 13–14. Tricondyla stricticeps Chaudoir, 1864 in Chinese species of the genus Tricondyla Latreille, 1822 (Coleoptera: Cicindelidae) and a new record for the country
Figures 13–14. Tricondyla stricticeps Chaudoir, 1864, scale = 5 mm. 13) Dorsal view, male. 14) Left lateral view, male.
Figures 9–12. Tricondyla pulchripes White, 1844 in Chinese species of the genus Tricondyla Latreille, 1822 (Coleoptera: Cicindelidae) and a new record for the country
Figures 9–12. Tricondyla pulchripes White, 1844, scale = 5 mm. 9) Dorsal view, male. 10) Left lateral view, male. 11) Dorsal view, female. 12) Left lateral view, female.
Figures 5–8. Tricondyla mellyi Chaudoir, 1850 in Chinese species of the genus Tricondyla Latreille, 1822 (Coleoptera: Cicindelidae) and a new record for the country
Figures 5–8. Tricondyla mellyi Chaudoir, 1850, scale = 5 mm. 5) Dorsal view, male. 6) Left lateral view, male. 7) Dorsal view, female. 8) Left lateral view, female.
Figures 1–4. Tricondyla wiesneri Naviaux, 2002 in Chinese species of the genus Tricondyla Latreille, 1822 (Coleoptera: Cicindelidae) and a new record for the country
Figures 1–4. Tricondyla wiesneri Naviaux, 2002, scale = 5 mm. 1) Dorsal view, male. 2) Left lateral view, male. 3) Dorsal view, female. 4) Left lateral view, female.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.