FTIR spectroscopy and VSC-based colour assessment dataset for comparative analysis of cremated bones

IF 1.4 Q3 MULTIDISCIPLINARY SCIENCES
Anu Lillak , Tim Thompson , Mari Tõrv , Ester Oras
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引用次数: 0

Abstract

The data presented in this article derives from archaeological cremated bones excavated in 2014–2015 at Aakre Kivivare tarand cemetery, S Estonia. The material covers bone fragments of different colours to be assessed visually, using Video Spectral Comparator (VSC) and analysed comparatively with Fourier Transform Infrared Spectroscopy (FTIR) to determine the structural and compositional changes in the thermally altered bone and implications of the latter in bone colouring.
The dataset comprises FTIR spectra measurements, colour spectra measured with VSC and visually assessed colour of human and animal bones chosen for the study. This dataset is expected to be a comparative source for determining archaeological cremated bone colour induced by heat-related changes in the bone microstructure, supporting the visual estimations of temperature-based cremation practices in archaeological and forensic bone material in the future.
FTIR光谱和基于vsc的颜色评估数据集用于火化骨骼的比较分析
本文中提供的数据来自2014-2015年在爱沙尼亚南部的Aakre Kivivare tarand墓地挖掘的考古火化骨骼。材料覆盖了不同颜色的骨碎片,使用视频光谱比较器(VSC)进行视觉评估,并与傅里叶变换红外光谱(FTIR)进行比较分析,以确定热改变骨的结构和成分变化以及后者对骨颜色的影响。该数据集包括FTIR光谱测量,用VSC测量的颜色光谱以及为研究选择的人类和动物骨骼的视觉评估颜色。该数据集有望成为确定由骨骼微观结构的热相关变化引起的考古火化骨骼颜色的比较来源,支持未来考古和法医骨骼材料中基于温度的火化实践的视觉估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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