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学特性及构建过程具有显著影响。本研究采用砂-磁铁矿混合物，探究模型制备对磁组构以及砂箱类比模型变形的影响。本次上传各模型的磁各向异性（Anisotropy of Magnetic Susceptibility，简称AMS）数据集，该类数据集除包含磁测量参数外，还涵盖测点的x、z坐标位置，以及至最近逆冲断层的距离（如适用）。如需进一步讨论相关内容，请参阅待发表的关联研究论文。 详细说明如下： - 2组数据集为经刮平、过筛处理的模型初始状态磁各向异性数据（标注为"initial"） - 2组数据集为经刮平、过筛处理且发生变形的模型磁各向异性数据 注：变形模型数据集的新版已对主轴取向进行校正。该校正源于采样相关问题，相关讨论详见关联主文章。