OSL Dataset from coastal dunes below Holocene tsunami deposits, Diu, India

Published: 8 July 2025| Version 1 | DOI: 10.17632/88y5nmfp75.1
Contributor:
DR. DRASTI GANDHI

Description

This dataset contains optically stimulated luminescence (OSL) dating results and dosimetric measurements from coastal dunes below Holocene tsunami deposits along Diu Island, western India. The data include equivalent dose (De) values, overdispersion, skewness, and modeled ages (CAM, MAM, weighted mean, and minimum 2σ) for sedimentary sites ISR-Diu (Diu Island). These data were collected as part of a study investigating the chronology and depositional characteristics of Holocene tsunami events to evaluate the reliability of age models in different coastal contexts.

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Steps to reproduce

Sediment samples were collected from the coastal dune of Diu, Gujarat, India (ISR-Diu). Mineral preparation followed standard OSL protocols: coarse quartz (90–125 µm) was isolated using HCl, H₂O₂, heavy liquid separation, and HF etching to remove feldspars and outer layers. Equivalent dose (De) measurements were obtained using a Risø TL/OSL DA-20 reader with a 90Sr/90Y beta source, applying a Single-Aliquot Regenerative-dose (SAR) protocol with preheat and test dose optimization based on dose recovery and recycling ratios. Dose rates were calculated from U, Th, and K concentrations measured by XRF. Cosmic dose contribution was determined using published equations based on burial depth, altitude, and latitude. Water content was estimated as 15 ± 5%. Age models (CAM, MAM, weighted mean, and minimum 2σ) were applied to the De data using the Luminescence package in R, with overdispersion and skewness used to assess dose distribution shape. Users can replicate the age calculation steps by inputting the provided De values, dose rates, and parameters into open-source software like Analyst or R.

Institutions

MG Science Institute, Institute of Seismological Research

Categories

Tsunami Deposit, Coastal Hazard, Holocene, Optically-Stimulated Luminescence Dating

Funding

Ministry of Earth Sciences

MoES/P.O.(Geosci)/32/2014

Department of Science and Technology

WOSA/EA-63/2021

Licence