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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393520/ https://www.ncbi.nlm.nih.gov/pubmed/32760769 http://dx.doi.org/10.1016/j.dib.2020.106050 |
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author | Doro, Kennedy O. Deng, Elijah Achuoth Bank, Carl-Georg |
author_facet | Doro, Kennedy O. Deng, Elijah Achuoth Bank, Carl-Georg |
author_sort | Doro, Kennedy O. |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-7393520 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-73935202020-08-04 Gradient magnetometer dataset and MATLAB numerical code for simulating buried firearms at a controlled field site Doro, Kennedy O. Deng, Elijah Achuoth Bank, Carl-Georg Data Brief Earth and Planetary Science 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. Elsevier 2020-07-21 /pmc/articles/PMC7393520/ /pubmed/32760769 http://dx.doi.org/10.1016/j.dib.2020.106050 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Earth and Planetary Science Doro, Kennedy O. Deng, Elijah Achuoth Bank, Carl-Georg Gradient magnetometer dataset and MATLAB numerical code for simulating buried firearms at a controlled field site |
title | 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_short | 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 |
topic | Earth and Planetary Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393520/ https://www.ncbi.nlm.nih.gov/pubmed/32760769 http://dx.doi.org/10.1016/j.dib.2020.106050 |
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