2026-10-13T17:57:00Z https://www.scidb.cn/oai

10.57760/sciencedb.41730 2026-10-08T16:57:05Z

2026-10-08 Surface sediment grain-size dataset of the Bohai, Yellow, and East China seas based on unified laser diffraction analysis (2001–2019) doi:10.57760/sciencedb.41730 en This dataset presents laser diffraction grain-size measurements for 751 surface sediment samples collected from the Bohai Sea (n = 137), Yellow Sea (n = 253), and East China Sea (n = 361) — the three major continental shelf seas of China. Samples were obtained during multiple cruises between 2001 and 2019 using box samplers in accordance with the national standard GB/T 12763.8–2007. All analyses were performed at the Qingdao Institute of Marine Geology, China Geological Survey, using a Malvern Mastersizer 2000 laser particle size analyzer following hydrogen peroxide pretreatment for organic matter removal.The dataset contains the full grain-size distribution at 0.25 Φ intervals (47 bins from −0.75 Φ to >10 Φ), derived Folk–Ward statistical parameters (mean grain size Mz, sorting coefficient σi, skewness Ski, kurtosis Kg), textural fractions (sand, silt, clay), and percentile diameters (D₅–D₉₅). Sample metadata include unique identifiers, WGS84 geographic coordinates, and sampling year. The consistent analytical protocol — single instrument, single laboratory, unified pretreatment — ensures internal comparability across the entire study region.This dataset supports research on sediment dynamics, paleoenvironmental reconstruction, benthic habitat mapping, and marine spatial planning across the East Asian continental margin. All data are released under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. grain size; laser diffraction; surface sediment; Bohai Sea; Yellow Sea; East China Sea; Folk–Ward parameters; continental shelf Xiaoyong Duan(段晓勇) Bin Chen(陈彬) Meina Li(李梅娜） Shuang Wang(王双） Ping Yin(印萍） Bin Chen(陈斌） Jian Zhang (张剑) PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset http://www.doi.org/10.5194/essd-2026-506 Science Data Bank