five

Compilation of geochemical data from surface soil samples from China

收藏
DataCite Commons2022-10-08 更新2024-07-29 收录
下载链接:
https://figshare.com/articles/dataset/Compilation_of_geochemical_data_from_topsoil_samples_from_across_China/19661235
下载链接
链接失效反馈
官方服务:
资源简介:
1. This file is a supplement to the manuscript “Modern silicate weathering regimes across China revealed by geochemical records from surface soils” by Guo et al. (2022, Journal of Geophysical Research: Earth Surface). 2. This file compiles bulk and fine fraction (&lt;2 μm) samples datasets, and the corresponding references. 3. Outliers with a low value are surrounded by features with high values (LH) and those with a high value are surrounded by features with low values (HL), at the 95% confidence level. The outliers were excluded from the kriging interpolation. 4. Meteorological data are generated using ArcGIS 10.2 and the spatial statistics and analytical methods described in section 2.4, using long-term (1961–2010) climate data. 5. Data of the time-averaged shear-wave velocity in the upper 30 m (Vs30) in China are from https://earthquake.usgs.gov. 6. Lithological data for China are from https://doi.org/10.1594/PANGAEA.788537. 7. Empty cells for MAP, MAT, MAP/PET, Vs30 and Lithology correspond to no data for discussion due to exclusion of CIA outliers. It also avoids the potential effects of the CIA outliers on discussion. 8. Instrumental analyses include X-ray fluorescence (XRF), Atomic Absorption Spectroscopy (AAS), Inductively Coupled Plasma-Atomic Emission Spectrometry (ICP-AES), Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES), and Inductively Coupled Plasma Mass Spectrometry (ICP-MS). 9. If you plan to use the compiled dataset in this file, please cite the paper of Guo et al. (2022, Journal of Geophysical Research: Earth Surface). <br>
提供机构:
figshare
创建时间:
2022-04-27
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作