This database samples the global continental crust, covering almost the entire history of the Earth. This database collects 2000000 geological age records from 12000 papers and dissertations. This article introduces the compiled raw data, discusses the relationship between dating errors and zircon ages, compares the error levels of different dating instruments, discusses the impact of sampling bias on data analysis, and how to evaluate and minimize this impact. In addition, we also provided an overview of the spatiotemporal distribution of zircon ages worldwide and offered important insights into the potential research value of zircon ages for Earth system science, such as crustal evolution, plate tectonics, and paleoclimate change, as well as their commercial applications in mining and energy exploration. In summary, this data collection provides us with a comprehensive platform for studying deep spatiotemporal zircon geochronology data.
The zircon data compilation includes "database" files and "reference" files. The 'database' file contains approximately 2 million zircon U-Th-Pb dating records, including four isotope ratios (206Pb/238U, 207Pb/235U, 207Pb/206Pb, and 208Pb/232Th) and errors, four corresponding ages and errors, as well as sample information, dating instruments, dating reference materials, host rock lithology, sampling locations, and reference numbers. The 'References' file contains source reference information corresponding to zircon geological age records, including reference number, author, year, and other publication information. For each record in the' Database 'file, its reference can be found in the' References' file by reference number
| collect place | Global |
|---|---|
| data size | 252.5 MiB |
| data format | excel |
| Coordinate system |
For the convenience of research, we unify the uncertainty forms of isotope ratios and ages into standard deviations. Various forms of uncertainty have been disclosed in the original literature. The specific processing procedures for each form are as follows. The most ideal form of uncertainty is the standard deviation (such as 1 SD and 1 σ), which we directly collect from literature. If the uncertainty is in the form of 2 standard deviations (such as 2 SD and 2 σ), we divide the original uncertainty by 2 and then input the new uncertainty into the database. Uncertainty is displayed in percentage form, representing relative error. Firstly, we multiply this percentage by the corresponding isotope ratio or age to obtain the absolute error. Then, we repeat program (1) or (2) to normalize the absolute error to standard deviation.
We divide the lithology of the parent rock into three categories, namely sedimentary rock, igneous rock, and metamorphic rock. In the initial collection process, we directly inputted the lithology published together with geological age data from the original literature. However, there are over 4000 phrases used in the literature to describe lithology, which poses great difficulties for statistical analysis of data grouped by parent rock lithology. In this case, we referred to the national standards "Classification and Naming Scheme for Igneous Rocks" (GB/T 17412.1-1998) (Qin et al., 1998), "Classification and Naming Scheme for Sedimentary Rocks" (GB-T17412.2-1998) (Yang et al., 1998), and "Classification and Naming Scheme for Metamorphic Rocks" (GB/T 17412.3-1998) (Zhuang et al., 1998), extracted the original detailed lithology, and classified it into three major types. If the original literature does not provide any lithological information, we will leave the "lithology" column blank. The null percentage is 9.70%.
The data quality is good.
This work is licensed under a
Creative
Commons Attribution 4.0 International License.
| # | title | file size |
|---|---|---|
| 1 | Database_v2.1_part1.xlsx | 76.2 MiB |
| 2 | Database_v2.1_part2.xlsx | 83.5 MiB |
| 3 | Database_v2.1_part3.xlsx | 91.4 MiB |
| 4 | References_v2.1.xlsx | 1.4 MiB |
| 5 | _ncdc_meta_.json | 7.4 KiB |
| 6 | 222 |
| # | category | title | author | year |
|---|---|---|---|---|
| 1 | paper | A global zircon U--Th--Pb geochronological database | Y,Wu,X,Fang,J,Ji | 2023 |
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