Sieving vs Scraping - AMS dataset from Analogue Sandbox Models

Model preparation has a great impact on the rheology of the model and model development. Here, a sand-magnetite mixture is used to study the effect of model preparation on magnetic fabric and on the deformation of analogue sandbox models. The AMS datasets of each model are uploaded here. The datasets include next to the magnetic measurement parameters, the location (x and z coordinates), and the distance to the closest thrust (if applicable). Please, see the associated publication for further discussion (in preparation).

In detail:
- Two datasets show AMS data from the initial state of a scraped and sieved model (labelled: "initial")
- Two datasets show AMS data from a deformed scraped and sieved model

Note, that the new version of the datasets from the deformed models contain a correction of the orientation of the principal axes. This correction is due to a sampling issue and is discussed in the associated main article.

模型制备对模型的流变特性和模型发展具有重大影响。在本研究中，采用沙磁铁矿混合物以探究模型制备对磁结构以及模拟沙箱模型变形的影响。每个模型的AMS数据集已上传至本平台。数据集除了包含磁测量参数外，还包括位置信息（x和z坐标）以及至最近挤压带（如适用）的距离。请参阅相关出版物以获取更深入的讨论（正在准备中）。

具体而言：
- 两个数据集展示了从刮除并筛分后的模型初始状态获得的AMS数据（标记为：“初始”）；
- 两个数据集展示了从变形后的刮除并筛分模型获得的AMS数据。
请注意，变形模型的新版本数据集包含了对主轴方向的修正。这一修正源于采样问题，并在相关主文章中进行讨论。