2026-10-12T01:54:08Z https://www.scidb.cn/oai

10.57760/sciencedb.nprd.000dp 2026-09-16T16:54:40Z

2026-09-16 A 2024–2026 Dataset for Quality Control of Baitouweng Decoction Using Fingerprint, Chemometrics, and QAMS doi:10.57760/sciencedb.nprd.000dp en Dataset Description:This dataset serves as the supplementary data for the research project "Quality Control of Baitouweng Decoction Based on Fingerprint, Chemometrics, and QAMS". It comprises relevant experimental data collected and organized between 2024 and 2026. The dataset mainly includes:Fingerprint Data: High-performance liquid chromatography (HPLC) fingerprint raw data and common peak information of Baitouweng Decoction;Chemometrics Data: Analysis results including principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) based on the fingerprint data, which are used to screen potential quality difference markers;QAMS Quantitative Data: Data for the simultaneous determination of multiple index components in Baitouweng Decoction using a specific component as an internal reference (Quantitative Analysis of Multi-Components by Single Marker).This dataset aims to provide scientific data support for the improvement of quality standards, the quality evaluation of compound preparations, and related analytical methodology research of Baitouweng Decoction. Pulsatilla decoction; fingerprint spectrum; QAMS; quality evaluation; chemical pattern recognition analysis wang fei Liu Kunyu Zhu Ziyin Rakes Yao Yuan Li Huibiao Chen Muyuan PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank