Applied Geophysics - Magnetic Anomaly Data Mosaic of the Socorro-Guaxupé Geological Area (Brazil)

The Socorro-Guaxupé area is a complex structural environment formed during Proterozoic times, associated with the formation of the Gondwana Supercontinent. The notable magnetic signatures of these geological areas were selected for an Applied Geophysical project for undergraduates in the Geology Course at the University of São Paulo in 2024. This grid mosaic encompasses airborne magnetic data from areas 15, 14, 7, and 2 of the CODEMIG repository (http://www.codemig.com.br/) as well as data from areas 1105, 1117, 1039, 4099, 4112, and 4210 from the Geological Survey of Brazil (SGB-CPRM). The surveys were gridded with cell sizes of 1/4 of the flight line spacing, using the minimum curvature method. Additionally, they were continued to a nominal altitude of 700 m for decreasing noise signal, due to the variable spatial resolution and acquisition techniques. Grid stitching was performed using pairs of grids, with the stitching method implemented in Oasis Montaj software. The locations of all surveys are presented in the figure "socorro-guaxupe_surveys.tif." We would like to thank the team at the Laboratory for Research in Applied Geophysics (LPGA) and the professors from the Rio de Janeiro State University (UERJ) and GeoAtlantico Institute for their technical support in assembling this data. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001 (L. Szameitat 88887.798323/2022-00)索科鲁-瓜克苏佩（Socorro-Guaxupé）地区是形成于元古代的复杂构造环境，与冈瓦纳超大陆的形成过程密切相关。2024年，圣保罗大学（University of São Paulo）地质系的本科生应用地球物理课程项目选取了该地质区域的显著磁异常特征作为研究对象。 本网格镶嵌数据集涵盖了CODEMIG数据库（http://www.codemig.com.br/）中15、14、7、2号区域的航空磁测数据，以及巴西地质调查局（SGB-CPRM）1105、1117、1039、4099、4112、4210号区域的相关数据。本次数据采用最小曲率法进行网格化处理，网格单元尺寸为飞行线间距的1/4。考虑到不同测区的空间分辨率与采集技术存在差异，为压制噪声信号，所有数据均向上延拓至700米的标称高度。网格拼接采用成对网格拼接的方式，基于Oasis Montaj软件中的拼接算法完成。所有测区的位置详见"socorro-guaxupe_surveys.tif"附图。 本数据集的整理工作得到了应用地球物理研究实验室（LPGA）团队、里约热内卢州立大学（UERJ）教师以及GeoAtlantico研究所的技术支持，在此谨致谢忱。 本研究部分受巴西高等教育人员发展协调局（CAPES）资助（资助编号：001，项目编号：L. Szameitat 88887.798323/2022-00）。