Sandaruwan Chaturanga, Madugalla Nadeesha, Adikaram Madurya, Pitawala Amarasooriya
Postgraduate Institute of Science, University of Peradeniya, Peradeniya, 20400, Sri Lanka.
Department of Physical Sciences, Faculty of Applied Sciences, South Eastern University, Sammanthurai, 32200, Sri Lanka.
Data Brief. 2024 Jul 6;55:110726. doi: 10.1016/j.dib.2024.110726. eCollection 2024 Aug.
The dataset contains grain size data of placer and non-placer sediments in lagoonal and riverine beaches of southeastern part of Sri Lanka. A total of 124 swash sediment samples were collected from a 70 km long coastline with an interval of 500 m. Placer sediments in the area mainly have mineralogy of ilmenite, zircon and almandine while non-placers are quartz, albite and calcite. After dry sieving, the grain size distribution (GSD) analyses were carried out on each sample using the Gradistat Excel template. Placer deposits result coarse-skewed leptokurtic to platykurtic fine sand distributions while non-placers are medium sand-grained. The dataset can be used to interpret the deposition environment and transportation dynamics. Further, they can be used to study the southwestern coastline of the Bay of Bengal, juvenile crust sediments of Grenvillian age, alongshore and fluvial sediment dynamics, depositional and erosion processes, geohazards assessments and heavy mineral deposits.
该数据集包含斯里兰卡东南部泻湖和河流海滩中砂矿和非砂矿沉积物的粒度数据。从一条70公里长的海岸线上，每隔500米采集了总共124个激浪沉积物样本。该地区的砂矿沉积物主要含有钛铁矿、锆石和铁铝榴石矿物，而非砂矿则是石英、钠长石和方解石。干燥筛分后，使用Gradistat Excel模板对每个样本进行粒度分布（GSD）分析。砂矿沉积物呈现粗偏态瘦峰态到平峰态细砂分布，而非砂矿为中砂粒度。该数据集可用于解释沉积环境和输运动力学。此外，它们可用于研究孟加拉湾西南海岸线、格林维尔期的幼年地壳沉积物、沿岸和河流沉积物动力学、沉积和侵蚀过程、地质灾害评估以及重砂矿床。
