A dataset of sandstone detrital composition from Qinghai‐Tibet Plateau

Abstract

As a hot topic in Earth sciences, the Qinghai‐Tibet Plateau has accumulated a large amount of sedimentary‐related data. We constructed a dataset of detrital components for Qinghai‐Tibet Plateau from 63 peer‐reviewed publications. The dataset thus comprises 1813 Late Proterozoic to Pleistocene sandstones from 84 stratigraphic units. For each sample, we present details on reference, detrital composition, GPS, geographic location, depositional age, tectonic setting and depositional environment. It becomes a high‐quality dataset after the information on each sandstone sample was standardized and reviewed by sedimentary experts. The dataset can be used for regional geoscience studies, exploring the general laws of the source‐to‐sink process. The dataset may also be useful in the field of utilities, such as assisting in finding suitable building stones, helping oil and gas and mineral exploration, and so forth.

A global dataset of sandstone detrital composition by Gazzi‐Dickinson method

“…Metadata entry: the literature information is entered into a designed standardized table by professional information entry assistants. The standardization of detrital fragment types and content follow Lai et al (2022). Identify detritus component data from the selected literature appendix or text table, calibrate, merge or split different types of detritus components, and enter it into the standard metadata sheet.…”

“…The quartzose sandstones are overwhelming, followed by lithic sandstones, while the feldspathic sandstones are the minimum in all periods. As for the lithics, the volcanic lithic fragments are T A B L E 2 Fragment codes for framework composition of sandstones (modified after Garzanti et al, 2021;Ingersoll et al, 1984;Lai et al, 2022).…”

“…A large amount of sedimentology-related data has been accumulated, making it possible to collect data on detrital components into a dataset (e.g. Lai et al, 2022). For a long time, the source-to-sink system in sedimentology has attracted much attention (Allen, 2017;Walsh et al, 2016) and the detrital composition is indispensable for provenance analysis, stratigraphic comparison, basin analysis, etc.…”

“…Here, we present and describe a dataset of detrital composition from 646 published scientific papers or theses, and a sandstone detrital dataset of Qinghai-Tibet Plateau (Lai et al, 2022). The geographic extent of the dataset is −85 to 76° and −177 to 178°, including the intracontinental, continental block margins, subduction zones, orogenic belts, suture zones, etc.…”