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Published August 1, 2025 | Version v3
Dataset Open

OneDZ: A Global Detrital Zircon Database and Implications for Constructing Giant Geoscience Database

  • 1. State Key Laboratory of Mineral Deposit Research
  • 2. School of Earth Sciences and Engineering, Nanjing University
  • 3. ROR icon Chinese Academy of Geological Sciences
  • 4. School of Earth Sciences, China University of Geosciences (Wuhan)
  • 5. ROR icon State Key Laboratory of Isotope Geochemistry
  • 6. College of Computer Science and Cyber Security, Chengdu University of Technology
  • 7. Hangzhou Research Institute, Huawei Technologies
  • 8. ROR icon State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation
  • 9. Institute of Sedimentary Geology, Chengdu University of Technology
  • 10. Key Laboratory of Deep-time Geography and Environment Reconstruction and Applications of Ministry of Natural Resources, Chengdu University of Technology
  • 11. College of Earth and Planetary Sciences, University of Chinese Academy of Sciences
  • 12. School of Resources and Environment, Henan Polytechnic University
  • 13. College of Marine Geosciences, Ocean University of China
  • 14. School of Earth Sciences and Engineering, Hohai University
  • 15. College of Oceanography, Hohai University
  • 16. College of Tourism, Henan Normal University, Xinxiang
  • 17. College of Earth and Planetary Sciences, Chengdu University of Technology
  • 18. ROR icon State Key Laboratory of Continental Dynamics
  • 19. Department of Geology, Northwest University
  • 20. ROR icon State Key Laboratory of Palaeobiology and Stratigraphy
  • 21. ROR icon Nanjing Institute of Geology and Paleontology
  • 22. Center for Excellence in Life and Palaeoenvironment, Chinese Academy of Sciences

Description

We strongly recommend that users who need fast relational queries download the original SQL dump in version 1 of this record. If you prefer to work without SQL, the raw CSV tables provided in version 2 are the simplest alternative. In addition, version 3 (current) adds a relational table in which every zircon record is keyed by a Harbin-algorithm-generated unique ID, incorporates all new contributions received up to 1 August 2025, and summarises the most common encoding artefacts (Chinese, Latin and Arabic characters mis-rendered during prior UTF-8/ANSI conversions). When importing, please ensure that the primary-key column is preserved and that your client is set to UTF-8.

| Correct character | Typical mis-rendered sequence | Language/script | Affected contexts\*        |
| --------------- | ----------------------------- | --------------- | -------------------------- |
| 岩                 | 丠, 岩, 岩?                    | Chinese         | 地层名称, 岩性描述                 |
| 锆                 | é’„, é•¶, 锆?                  | Chinese         | 锆石, 锆石U-Pb                 |
| 喜                 | å–œ, å–œ?, 喜?                 | Chinese         | 喜山期, 喜马拉雅                  |
| 世                 | 世, 世?                       | Chinese         | 地质年代, 上新世                  |
| ñ                 | ñ, ñ                      | Latin           | Mañicaragua Fm, Peña Negra |
| ç                 | ç, ç                      | Latin           | Maçacará Gp, Curaçá Fm     |
| é                 | é, é                      | Latin           | Precambriérien, Jurássico  |
| ã                 | ã, ã                      | Latin           | Serra ão, Triãngulo       |
| ﻩ                 | ?, ØŸ, 问号                     | Arabic          | جبل (Jebel), حجر (rock)    |
| ﻙ                 | ?, Ùƒ                         | Arabic          | كربونيفيري (Carboniferous) |
| ﺔ                 | ?, Ø©                         | Arabic          | ﺔﻘﺒﻄ (Taqabat Fm)          |

Due to the departure of several graduate students who originally compiled the database, and because our remaining resources are fully committed to web-platform development, the table above lists representative errors only; we do not have the personnel to exhaustively catalogue every encoding artefact. All records have since been automatically rectified with GeoGPT, and the entire dataset is now provided in English, yet—because local encoding settings differ across PCs—we cannot guarantee that every user will be entirely free of garbled text. Both the v1 SQL dump and all CSV/XLSX files in v2 are encoded in UTF-8; please ensure your client is likewise configured before import. The GeoGPT-based repair and translation modules are under active development and testing, and we expect a future web release to resolve these issues definitively.

Files

Files (3.2 GB)

Name Size Download all
md5:d7cbfe8de1684a5227d562e1204af0a6
454.7 MB Download
md5:f8b8319dedebb16cf76e311f3b8ab4b6
626.4 MB Download
md5:c7794eac8bc465924844d3f28131cc20
753.7 MB Download
md5:4395fc0015f612c8eb8c64a5f26b0077
1.3 GB Download

Additional details

Identifiers

Other
onedz

Dates

Created
2025-03-03