Magnetic raw data (SENSYS MXV3 system entire dataset) during campaign AFM-NIhK-2020-25, Ahlen-Falkenberger Moor (area 97), Germany
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This is the measurement data from the geomagnetic prospection of the Ahlen-Falkenberger Moor (district of Cuxhaven, Lower Saxony, Germany) as part of the research project Preserved in the bog - relics of prehistoric settlement landscapes in the Elbe-Weser triangle funded by Niedersachsen Vorab. A total of about 800 ha were measured. The aim was to locate archaeological sites as well as landscape features. The measurements were carried out with a MXV3 system from Sensys with 6 FGM650/3 probes with a distance of 0.5m. Each probe consists of 2 sensors with 650mm basedistance and gives the gradient of the vertical component of the magnetic field (Z). The location was measured using a Stonex S10 GPS with Sapos HEPS correction data, resulting in a horizontal position accuracy of 0.01 – 0.02m and an elevation accuracy of 0.02 – 0.03m. The data were exported using DLMGPS (Sensys), whereby the coordinates of the individual probes are automatically determined from the central GPS position on the device. The data were exported without automatic track compensation. Due to the system, the position data is in UTM32/ETRS84 (EPSG 4647) and for conformity with PANGAEA also in WGS84 (EPSG 4326) (conversion is done with spTransform in R).
本数据集为德国下萨克森州库克斯哈芬县(Cuxhaven, Lower Saxony)阿伦-法尔肯贝格沼泽(Ahlen-Falkenberger Moor)的地磁勘探测量数据,隶属于由下萨克森前瞻计划(Niedersachsen Vorab)资助的「保存在泥炭中——易北河-威悉河三角地带史前定居景观遗存(Preserved in the bog - relics of prehistoric settlement landscapes in the Elbe-Weser triangle)」研究项目。本次勘探总测量面积约800公顷,研究目的为定位考古遗址与景观特征。 本次测量采用Sensys公司的MXV3系统(MXV3),搭配6台FGM650/3型探头(FGM650/3),探头间安装间距为0.5米。每台探头包含2个基准间距为650毫米的传感器,可输出磁场垂直分量(Z分量)的梯度数据。 定位工作采用搭载Sapos HEPS修正数据(Sapos HEPS)的Stonex S10 GPS接收机(Stonex S10),最终获得的水平位置精度为0.01–0.02米,高程精度为0.02–0.03米。 数据通过DLMGPS(Sensys)软件导出,设备中央GPS位置可自动推算出各探头的坐标,本次导出未启用自动轨迹补偿功能。 由于系统原生设定,原始位置数据采用UTM32/ETRS84坐标系(EPSG 4647);为适配PANGAEA(PANGAEA)数据平台的格式要求,同时提供WGS84坐标系(EPSG 4326)版本的数据集,坐标系转换通过R语言的spTransform(spTransform)工具完成。



