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

This data set contains 158 temperature histories that were compiled from previous publications (n = 151) [<i>Hacker et al.</i>, 2000; <i>Ratschbacher et al.</i>, 2000; <i>Reiners et al.</i>, 2003; <i>Zhou et al.</i>, 2003; <i>Xu et al.</i>, 2005; <i>Hu et al.</i>, 2006; <i>Ji et al.</i>, 2017; <i>Ding et al.</i>, 2021] and our new study (n = 7).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 [<i>Zhou et al.</i>, 2003; <i>Xu et al.</i>, 2005; <i>Hu et al.</i>, 2006; <i>Ding et al.</i>, 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 [<i>Hacker et al.</i>, 2000; <i>Ratschbacher et al.</i>, 2000; <i>Wang et al.</i>, 2014; <i>Ji et al.</i>, 2017]. (3) Nearly 50% of temperature paths were reconstructed by joint modelling of multiple samples collected from vertical profiles [<i>Reiners et al.</i>, 2003; <i>Ding et al.</i>, 2021]. (4) A number of temperature histories were restored by plotting the thermochronologic age versus their corresponding closure temperatures [<i>Chen et al.</i>, 1995; <i>Wang and Yang</i>, 1998; <i>Grimmer et al.</i>, 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 [<i>Hacker et al.</i>, 2000; <i>Ratschbacher et al.</i>, 2000; <i>Reiners et al.</i>, 2003; <i>Zhou et al.</i>, 2003; <i>Xu et al.</i>, 2005; <i>Hu et al.</i>, 2006; <i>Ji et al.</i>, 2017; <i>Ding et al.</i>, 2021].

本数据集共包含158条温度演化历史数据，其中151条来自已发表文献（<i>Hacker等，2000</i>；<i>Ratschbacher等，2000</i>；<i>Reiners等，2003</i>；<i>Zhou等，2003</i>；<i>Xu等，2005</i>；<i>Hu等，2006</i>；<i>Ji等，2017</i>；<i>Ding等，2021</i>），剩余7条来自本研究的最新成果。
本研究整理的温度演化历史数据可根据数据采集与数值模拟的对应方法划分为以下四类：
1. 绝大多数数据通过对单一样本的多组热年代学（thermochronologic）数据进行反演模拟，得到其至今的连续温度演化历史，相关文献包括<i>Zhou等，2003</i>、<i>Xu等，2005</i>、<i>Hu等，2006</i>以及<i>Ding等，2021</i>。
2. 总共有10条温度演化历史通过对钾长石中的氩进行多域扩散模拟得到，仅覆盖早期抬升阶段的温度与时间范围，未延伸至现今，相关文献包括<i>Hacker等，2000</i>、<i>Ratschbacher等，2000</i>、<i>Wang等，2014</i>以及<i>Ji等，2017</i>。
3. 近50%的温度路径通过对垂直剖面采集的多组样本进行联合模拟重建得到，相关文献包括<i>Reiners等，2003</i>与<i>Ding等，2021</i>。
4. 另有部分温度演化历史通过将热年代学年龄与其对应的封闭温度（closure temperature）进行绘图拟合完成重建，相关文献包括<i>Chen等，1995</i>、<i>Wang与Yang，1998</i>以及<i>Grimmer等，2002</i>。
这些冷却演化历史的时间跨度大多介于130 Ma至0 Ma之间，少数可追溯至270 Ma。通过对这些温度演化历史的整理分析，可识别出三个相对快速冷却阶段：白垩纪、新生代早期以及晚中新世至今。
鉴于所有赋存岩石均形成于白垩纪或更早时期，这些冷却演化历史被解读为响应构造变形或剥蚀作用的岩石折返过程，相关文献包括<i>Hacker等，2000</i>、<i>Ratschbacher等，2000</i>、<i>Reiners等，2003</i>、<i>Zhou等，2003</i>、<i>Xu等，2005</i>、<i>Hu等，2006</i>、<i>Ji等，2017</i>以及<i>Ding等，2021</i>。