Laser-diffraction grain-size data, magnetic susceptibility, carbonate content and organic matter content records for Mangshan Loess section MS2006

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Authors: Maarten Arnoud Prins, Hongbo Zheng, Kay Beets, S.R. Troelstra, Patrick Bacon, Ilse M. Kamerling, Wouter Wester, MARTIN KONERT, Xiangtong Huang, Wang Ke, Jef Vandenberghe
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Abstract

The Mangshan loess section MS2006 is located on the NW edge of the Mangshan Plateau. The 59m thick S0-L1-S1 loess–pedogenic complex was continuously sampled in 36 partly overlapping, freshly dug, vertical trenches at a 5 cm resolution during a field campaign in 2006. Grain-size analysis (samples in 10 cm resolution) was performed on a Fritsch Analysette 22 laser particle sizer at the Vrije Universiteit resulting in a grain-size distribution with 56 size classes in the size range 0.15–2000 mm. Samples (5cm resolution) were analysed using a Bartington MS2 magnetic susceptibility meter at Tongji University. The carbonate content and organic matter content of the samples (10cm resolution) were analysed using a Leco TGA 601 at the Vrije Universiteit. Original publication for the grain-size data, magnetic susceptibility and carbonate content: Prins, M.A., Zheng, H., Beets, K., Troelstra, S., Bacon, P., Kamerling, I., Wester, W., Konert, M., Huang, X., Ke, W., & Vandenberghe, J. (2009). Dust supply from river floodplains: the case of the lower Huang He (Yellow River) recorded in a loess-palaeosol sequence from the Mangshan Plateau. Journal of Quaternary Science, 24, 75–84. https://doi.org/10.1002/jqs.1167 Original publication for the organic matter content: Stark, P.P., Prins, M.A., Beets, C.J., Tang, H., van Balen, R.T., & Kaakinen, A.P. (in press). Shape Matters: Unlocking Transport Histories in Fine-Grained Aeolian Sediments with Endmember Modelling of Size–Shape Distributions. Earth and Space Science

Fields of Study & Subjects

Aeolian processes and effects Soil and Environmental Studies Geology and Paleoclimatology Research

Publication details

Journal / source
Ministry of Culture and Education
Publication date
19 January 2026
Document type
Dataset