Kayode John Stephen, Yusup Yusri
Environmental Technology, School of Industrial Technology, Universiti Sains Malaysia, 11800 Pulau-Pinang, Malaysia.
Data Brief. 2018 May 23;19:798-803. doi: 10.1016/j.dib.2018.05.090. eCollection 2018 Aug.
A secondary dataset was generated from the Euldph-λ semi-automatic Algorithm, (ESA) developed to automatically computes various depths to the magnetic anomalies using a primary data set from gridded aeromagnetic data obtained in the study area. Euler Deconvolution techniques, (EDT), was adopted in the identification and definition of the magnetic anomaly source rocks in the study area. The aim is to use the straightforward technique to pinpoint magnetic anomalies at a depth which substantiate mineralization potential of the area. The ESA was integrated with the imaging function of Oasis Montaj 2014 source parameter from Geosoft® Inc. From the data, it could be summarized that similar tectonic processes during the deformation and metamorphic activities, the subsurface structures of the study area produce corresponding trending form.
一个二级数据集是由Euldph-λ半自动算法（ESA）生成的，该算法旨在利用研究区域内网格化航磁数据的原始数据集来自动计算到磁异常的各种深度。在研究区域磁异常源岩的识别和定义中采用了欧拉反褶积技术（EDT）。目的是使用这种直接的技术在一定深度精确确定磁异常，以证实该区域的矿化潜力。ESA与Geosoft®公司的Oasis Montaj 2014源参数成像功能相结合。从数据中可以总结出，在变形和变质活动期间类似的构造过程中，研究区域的地下结构产生了相应的趋势形态。
