VORTEX (基于X射线的Variscite起源识别技术) 的数据 欧洲地质考古绿色酸盐组成数据集
Daniel Sánchez-Gómez1, José Ángel Garrido-Cordero2, José María Martínez-Blanes3
1UNIARQ, Centro de Arqueologia da Universidade de Lisboa, 1600-214, Lisbon, Portugal.
Data in brief
|August 21, 2025
概括
这项研究引入了新的数据驱动框架,使用便携式X射线光 (p-XRF) 和机器学习 (ML) 来追踪考古文物的起源. 该方法准确地确定了绿色矿的地质来源,有助于了解史前贸易网络.
科学领域:
- 地质考古学
- 考古学科学
- 材料科学
背景情况:
- 在伊比里亚的史前矿产酸盐是很好的记录.
- 了解考古文物的来源对于重建过去的社会网络和贸易路线至关重要.
- 现有的发现文物来源的方法可能具有破坏性或缺乏准确性.
研究的目的:
- 开发和验证数据驱动的框架,以确定使用元素组成的考古文物来源.
- 整合便携式X射线光 (p-XRF) 分析与机器学习 (ML) 进行文物采购.
- 创建来自伊比利亚矿床的绿色酸盐矿物组成的综合数据集.
主要方法:
- 使用便携式X射线光 (p-XRF) 的1778个地质考古样本的组成分析.
- 使用X射线衍射 (XRD) 对样本子集的矿物学分析 (N=249).
- 在元素组成数据上训练的机器学习模型的开发和应用,以预测文物的来源.
主要成果:
- 建立了一个整合p-XRF和ML的强有力的框架,
- 系统地收集和呈现元素组成数据 (Al-Th的原子百分比) 和矿物学数据.
- 这种模型成功地追踪了来自各个考古遗址的571颗珠的起源.
结论:
- 开发的框架为采购考古文物提供了非破坏性和准确的方法.
- 这一数据集和方法对未来的文物来源和社会网络分析有很大的潜力.
- 这项研究为伊比利亚绿色酸盐矿床提供了有价值的地化学和矿物学数据.
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