Data for the study entitled "A method for calculating denudation from the big global thermochronologic data: Example applications to the Dabie orogen, eastern China"

This data set contains the supporting information and the data for the paper entitled "A method for calculating denudation from the big global thermochronologic data: Example applications to the Dabie orogen, eastern China". The supporting information file includes 7 figures (Figures S1 to S7), 2 data tables (Tables S1 to S2), and a text (Text S1). The other file compiles 158 temperature histories from previous publications (n = 151) [Hacker et al., 2000; Ratschbacher et al., 2000; Reiners et al., 2003; Zhou et al., 2003; Xu et al., 2005; Hu et al., 2006; Ji et al., 2017; Ding et al., 2021] and our new study (n = 7). Below is a brief introduction of the temperature histories.The temperature histories compiled in this work can be divided into the following four categories, based on the corresponding methodologies for data collection and numerical modelling. (1) Most of them were derived from inverse modeling of continuous temperature history from multiple thermochronologic data of individual samples till the present [Zhou et al., 2003; Xu et al., 2005; Hu et al., 2006; Ding et al., 2021]. (2) Ten histories out of the total, derived from multi-domain diffusion modelling of Ar in K-feldspar, cover temperature and time period of the early exhumation stage, not lasting to the present-day [Hacker et al., 2000; Ratschbacher et al., 2000; Wang et al., 2014; Ji et al., 2017]. (3) Nearly 50% of temperature paths were reconstructed by joint modelling of multiple samples collected from vertical profiles [Reiners et al., 2003; Ding et al., 2021]. (4) A number of temperature histories were restored by plotting the thermochronologic age versus their corresponding closure temperatures [Chen et al., 1995; Wang and Yang, 1998; Grimmer et al., 2002].Those cooling histories mostly cover the time between 130-0 Ma, with a few up to 270 Ma. The compilation of the temperature histories shows three phases of relatively rapid cooling during the Cretaceous, early Cenozoic, and Late Miocene-present. Given that all host rocks are Cretaceous or older, the cooling histories have been interpreted as rock exhumation in response to tectonic deformation or denudation [Hacker et al., 2000; Ratschbacher et al., 2000; Reiners et al., 2003; Zhou et al., 2003; Xu et al., 2005; Hu et al., 2006; Ji et al., 2017; Ding et al., 2021].

本数据集包含题为《基于全球大规模热年代学（thermochronologic）数据计算剥蚀量的方法——以中国东部大别造山带为例》的学术论文的配套补充资料与原始数据。配套补充资料文件包含7幅附图（图S1至S7）、2个辅助数据表（表S1至S2）以及1篇辅助说明文本（文本S1）。其余数据文件整合了158条温度演化史（temperature histories）数据，其中151条来自已发表研究[Hacker等，2000；Ratschbacher等，2000；Reiners等，2003；Zhou等，2003；Xu等，2005；Hu等，2006；Ji等，2017；Ding等，2021]，剩余7条来自本团队的最新研究。下文将对这些温度演化史数据进行简要介绍。
本研究整合的温度演化史数据可依据其数据采集与数值模拟方法分为以下四类：
(1) 多数数据通过对单个样品的多组热年代学数据进行反演模拟，得到直至现今的连续温度演化历史[Zhou等，2003；Xu等，2005；Hu等，2006；Ding等，2021]。
(2) 总计10条演化史数据通过钾长石Ar的多域扩散模拟得到，仅覆盖早期剥露阶段的温度与时间区间，未延伸至现今[Hacker等，2000；Ratschbacher等，2000；Wang等，2014；Ji等，2017]。
(3) 近50%的温度路径通过对垂直剖面采集的多组样品进行联合模拟重建得到[Reiners等，2003；Ding等，2021]。
(4) 其余部分温度演化史通过绘制热年代学年龄与对应封闭温度的关系图重建得到[Chen等，1995；Wang与Yang，1998；Grimmer等，2002]。
这些冷却演化史的时间跨度多集中在130 Ma至0 Ma之间，少数可追溯至270 Ma。通过对温度演化史的整合分析可知，研究区存在三次相对快速的冷却阶段，分别为白垩纪、古近纪早期以及晚中新世至今。由于所有赋存岩石均形成于白垩纪或更早时期，这些冷却演化史被解读为响应构造变形或剥蚀作用的岩石剥露过程[Hacker等，2000；Ratschbacher等，2000；Reiners等，2003；Zhou等，2003；Xu等，2005；Hu等，2006；Ji等，2017；Ding等，2021]。