Gradient magnetometer dataset and MATLAB numerical code for simulating buried firearms at a controlled field site

Magnetic survey using multiple magnetometers to obtain gradiometric data can be used as a non-destructive method to search for buried firearms. We present magnetic dataset collected above a set of weapons buried at 0.6 m, 1.2 m, and 1.8 m depths. We provide three datafiles: two datafiles were collec...

Full description

Bibliographic Details
Main Authors: Kennedy O. Doro, Elijah Achuoth Deng, Carl-Georg Bank
Format: Article
Language:English
Published: Elsevier 2020-08-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340920309446
id doaj-fb4046f3bca24aa69d23390f341547e8
record_format Article
spelling doaj-fb4046f3bca24aa69d23390f341547e82020-11-25T01:58:55ZengElsevierData in Brief2352-34092020-08-0131106050Gradient magnetometer dataset and MATLAB numerical code for simulating buried firearms at a controlled field siteKennedy O. Doro0Elijah Achuoth Deng1Carl-Georg Bank2Department of Environmental Sciences, University of Toledo, 2801 West Bancroft Street, Toledo, Ohio, 43606-3390, USA; Corresponding author.Department of Earth Sciences, University of Toronto, 22 Russell Street, Toronto, Ontario M5S3B1, CanadaDepartment of Earth Sciences, University of Toronto, 22 Russell Street, Toronto, Ontario M5S3B1, CanadaMagnetic survey using multiple magnetometers to obtain gradiometric data can be used as a non-destructive method to search for buried firearms. We present magnetic dataset collected above a set of weapons buried at 0.6 m, 1.2 m, and 1.8 m depths. We provide three datafiles: two datafiles were collected on a coarse grid (1 m by 0.5 m) before and after burial of the weapons, and a third one collected on a fine grid (0.25 m by 0.1 m) after the burial of the weapons which concentrates on the area of buried firearms. We used a Gem Systems GSM-19GW Overhauser gradiometer consisting of two sensors with a relative vertical separation of 55 cm. Data acquisition was done via non-automated point measurements within a gridded measurement domain with data collection locations managed using measurement tape. Each field campaign resulted in about 3,000 data points. In addition, we developed a set of MATLAB scripts to model the magnetic anomalies (total field and gradient) for buried firearms, this set is also included here. The data and modeling scripts relate to a research article published in Forensic Science International (Deng et al., Suitability of magnetometry to detect clandestine buried firearms from a controlled field site and numerical modeling [1]). The dataset may be helpful for testing new algorithms for weapons detection while the numerical codes can be modified and applied for simulating magnetic anomalies resulting from similar buried objects with potential application in the sub-disciplines of forensic and archaeological geophysics.http://www.sciencedirect.com/science/article/pii/S2352340920309446Forensic geophysicsMagnetic gradiometryControlled geophysical researchDetecting buried weaponsMATLAB numerical code
collection DOAJ
language English
format Article
sources DOAJ
author Kennedy O. Doro
Elijah Achuoth Deng
Carl-Georg Bank
spellingShingle Kennedy O. Doro
Elijah Achuoth Deng
Carl-Georg Bank
Gradient magnetometer dataset and MATLAB numerical code for simulating buried firearms at a controlled field site
Data in Brief
Forensic geophysics
Magnetic gradiometry
Controlled geophysical research
Detecting buried weapons
MATLAB numerical code
author_facet Kennedy O. Doro
Elijah Achuoth Deng
Carl-Georg Bank
author_sort Kennedy O. Doro
title Gradient magnetometer dataset and MATLAB numerical code for simulating buried firearms at a controlled field site
title_short Gradient magnetometer dataset and MATLAB numerical code for simulating buried firearms at a controlled field site
title_full Gradient magnetometer dataset and MATLAB numerical code for simulating buried firearms at a controlled field site
title_fullStr Gradient magnetometer dataset and MATLAB numerical code for simulating buried firearms at a controlled field site
title_full_unstemmed Gradient magnetometer dataset and MATLAB numerical code for simulating buried firearms at a controlled field site
title_sort gradient magnetometer dataset and matlab numerical code for simulating buried firearms at a controlled field site
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2020-08-01
description Magnetic survey using multiple magnetometers to obtain gradiometric data can be used as a non-destructive method to search for buried firearms. We present magnetic dataset collected above a set of weapons buried at 0.6 m, 1.2 m, and 1.8 m depths. We provide three datafiles: two datafiles were collected on a coarse grid (1 m by 0.5 m) before and after burial of the weapons, and a third one collected on a fine grid (0.25 m by 0.1 m) after the burial of the weapons which concentrates on the area of buried firearms. We used a Gem Systems GSM-19GW Overhauser gradiometer consisting of two sensors with a relative vertical separation of 55 cm. Data acquisition was done via non-automated point measurements within a gridded measurement domain with data collection locations managed using measurement tape. Each field campaign resulted in about 3,000 data points. In addition, we developed a set of MATLAB scripts to model the magnetic anomalies (total field and gradient) for buried firearms, this set is also included here. The data and modeling scripts relate to a research article published in Forensic Science International (Deng et al., Suitability of magnetometry to detect clandestine buried firearms from a controlled field site and numerical modeling [1]). The dataset may be helpful for testing new algorithms for weapons detection while the numerical codes can be modified and applied for simulating magnetic anomalies resulting from similar buried objects with potential application in the sub-disciplines of forensic and archaeological geophysics.
topic Forensic geophysics
Magnetic gradiometry
Controlled geophysical research
Detecting buried weapons
MATLAB numerical code
url http://www.sciencedirect.com/science/article/pii/S2352340920309446
work_keys_str_mv AT kennedyodoro gradientmagnetometerdatasetandmatlabnumericalcodeforsimulatingburiedfirearmsatacontrolledfieldsite
AT elijahachuothdeng gradientmagnetometerdatasetandmatlabnumericalcodeforsimulatingburiedfirearmsatacontrolledfieldsite
AT carlgeorgbank gradientmagnetometerdatasetandmatlabnumericalcodeforsimulatingburiedfirearmsatacontrolledfieldsite
_version_ 1724967175481982976