Dataset of the palaeozoic (Carboniferous - Permian) Kinta Limestone Pinnacles in Kampar, Perak, Malaysia.

IF 1.9 Q3 MULTIDISCIPLINARY SCIENCES
Data in Brief Pub Date : 2026-08-27 eCollection Date: 2026-08-01 DOI:10.1016/j.dib.2026.113207
Wei Chung Khor, Mohd Shafeea Leman, Muhammad Ashahadi Dzulkafli, Nurul Amalina Md Nor, Mat Niza Abdul Rahman
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引用次数: 0

Abstract

This dataset documents the Paleozoic Carboniferous - Permian Kinta Limestone Pinnacles in Kampar, Perak, Malaysia, preserving a geological record of a now-demolished carbonate formation. It includes sedimentary logs, facies descriptions, fossil records, petrographic images, and X-ray diffraction (XRD) analysis results, enabling in-depth studies on carbonate depositional environments, diagenetic processes, and fossil assemblages. A total of 27 pinnacles were mapped and digitized using ArcGIS 10.8, with seven correlatable pinnacles selected for detailed sedimentary logging (1:10 scale). Key attributes recorded include lithology, sedimentary structures, texture, fossil content, and diagenetic indicators, classified into five distinct facies. Hand samples were analysed using XRD to determine mineralogical composition. Given the extensive recrystallization of the limestone, thin-section observations were challenging. Fossils including fusulinids, corals, and brachiopods were documented through macro-photography for further identification. This dataset is valuable for paleoenvironmental reconstructions and comparative carbonate studies, ensuring continued access to critical geological information despite the loss of the physical site.

马来西亚霹雳州坎帕古生代(石炭-二叠纪)金塔石灰岩尖峰资料集。
该数据集记录了马来西亚霹雳州坎帕的古生代石炭-二叠纪金塔石灰岩尖峰,保存了现已被破坏的碳酸盐地层的地质记录。它包括沉积测井、相描述、化石记录、岩相图像和x射线衍射(XRD)分析结果,可以对碳酸盐沉积环境、成岩过程和化石组合进行深入研究。利用ArcGIS 10.8对27个尖峰进行了测绘和数字化,选取了7个具有相关性的尖峰进行了详细的沉积测井(1:10比例尺)。记录的主要属性包括岩性、沉积构造、质地、化石含量和成岩指标,并将其划分为五个不同的相。用XRD分析了手样品的矿物组成。考虑到石灰石的广泛再结晶,薄切片观察具有挑战性。包括毛藻类、珊瑚和腕足类在内的化石通过宏观摄影记录下来,以便进一步鉴定。该数据集对于古环境重建和比较碳酸盐研究是有价值的,确保在物理地点丢失的情况下继续获得关键的地质信息。
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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