Magnetic Induction Spectroscopy Data of Buried Objects
This dataset accompanies a paper titled "Detection of Metallic Objects in Mineralised Soil Using Magnetic Induction Spectroscopy".
The detection of small metallic objects buried in mineralised soil poses a challenge for metal detectors, especially when the response from the metallic objects is orders magnitude below the response from the soil. This dataset contains data from a new detector based on Magnetic Induction Spectroscopy (MIS). Experimental results consisting of 1,669 passes across either buried objects or empty soil are presented. In total 14 different objects were buried at 3 different depths, in three soil types including non-mineralised and mineralised soils.
Every sweep of the detector over an object is contained in a different file, with the following file naming convention being used: ___.h5, where is globally unique identifier for the file. Each file is a HDF5 file generated using Pandas, containing a single DataFrame. The DataFrame contains 8 columns. The first three correspond to the x-, y- and z-position (in cm) relative to an arbitrary datum. The arbitrary datum stays constant for all sweeps over all objects in a given combination of soil and depth. The other 5 columns contain the complex transimpedance values as measured by the MIS system, after calibration against the ferrite piece. Due to experimental constraints, there is no data for one of the rocks buried at 10 cm depth in "Rocky" soil.