Grain size-shape distributions obtained by image processing of aeolian sediment samples from Lutterzand and Leusden in the Netherlands, 2020

We collected 247 sediment samples from aeolian deposits at Lutterzand (former coversand type locality in the Eastern Netherlands) and 250 samples in total from three sites in the aeolian deposits near Leusden (Central Netherlands, western fringe of the Amersfoort glacial basin). Sediment samples of approximately 2 g were pre-treated in ~100 ml demi-water with 5 ml 30% H2O2 to remove organics, 5 ml 10% HCl to remove carbonates and 300 mg Na4P2O7 ˖10H2O to disperse charged particles. The samples were studied for particle size and shape using a Sympatec Qicpic dynamic image analyser. This analyse... Mehr ...

Verfasser: van Hateren, Johannes Albert
Prins, Maarten Arnoud
van Balen, Ronald Theodorus
Kasse, Cornelis
Schokker, Jeroen
van der Woude, John
Dokumenttyp: Dataset
Erscheinungsdatum: 2022
Verlag/Hrsg.: PANGAEA
Schlagwörter: Image analysis / Leusden-DT1 / Leusden-M251 / Leusden-M5 / Lutterzand / Netherlands
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-27201864
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.pangaea.de/10.1594/PANGAEA.942100

We collected 247 sediment samples from aeolian deposits at Lutterzand (former coversand type locality in the Eastern Netherlands) and 250 samples in total from three sites in the aeolian deposits near Leusden (Central Netherlands, western fringe of the Amersfoort glacial basin). Sediment samples of approximately 2 g were pre-treated in ~100 ml demi-water with 5 ml 30% H2O2 to remove organics, 5 ml 10% HCl to remove carbonates and 300 mg Na4P2O7 ˖10H2O to disperse charged particles. The samples were studied for particle size and shape using a Sympatec Qicpic dynamic image analyser. This analyser is set-up using a 2 mm cuvette. To prevent clogging of the cuvette, pre-treated samples are sieved over a 1600 μm mesh, excluding larger grains from the measurement. Grain size-shape distributions were constructed using image analysis on the video data following the methodology in: Van Hateren et al. (2020). The dataset contains conD2d distributions (volumetric convexity-grain size distributions).