Data underlying the publication: Resetting of quartz and feldspar luminescence signals under water
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https://data.4tu.nl/datasets/f4b0d921-5c7d-49f8-abd1-5d13169139db
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This dataset documents a one-day field experiment that quantified how daylight resets luminescence signals of sand-sized quartz and feldspar grains in turbid, tidal-inlet waters. Sand samples were exposed in situ at multiple depths in a tidal inlet while concurrent measurements of underwater light spectra and suspended sediment concentration (SSC) were collected. Single-grain luminescence analyses show a clear, depth-dependent bleaching pattern: a shallow zone where grains bleach within a day and a deeper “bleaching front” below which no significant resetting occurred during the experiment. The observed bleaching depths correspond with predictions made from the measured subaqueous light spectra and mineral-specific photo-ionization behavior.<br>The dataset includes:<br>Raw and processed single-grain luminescence data for quartz and feldspar (raw reader files and derived signal data).In-situ light spectra recorded throughout the exposure.OBS turbidity records and calibrated suspended sediment concentration (SSC) profiles, with the calibration file.Metadata describing sample locations, exposure depths, and timing.All data-processing scripts (R and MATLAB) and commented analysis code used to extract signals, convert turbidity to SSC, and produce figures and tables.Figures and tables generated from the analysis.<br>Instruments and provenance: luminescence measurements were produced using Netherlands Centre for Luminescence Dating (NCL) equipment; SSC and calibration protocol is described in the manuscript following standard protocols. Background and sample information is available via the NCL database under project code NCL-1123. For more information see README file.<br>This dataset supports coastal sediment transport studies, luminescence dating and tracing applications, validation of subaqueous bleaching models, and development of sensor-based SSC estimation methods.
提供机构:
4TU.ResearchData
创建时间:
2025-12-16



