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Before conducting the experiment, the data logger locks the GPS onto the surface.
In this experiment, the data used for imaging are densely sampled in the borehole, i.e. there are 81 receivers separated by approximately 12 m.
In this experiment, the data are sparsely sampled in the borehole, i.e. there are only six receivers obtained by selecting every 16th receiver from the original set.
In our experiment, the data from 2004 to 2015 are selected as the combination of our training set, validation set, and test set.
In the first mismatched condition experiment, the data in training set were exclusively clean sounds without noise, but the data in testing set were corrupted by additive background noise at levels of 20, 10, and 0 dB SNR.
Therefore, through the experiment the data on a) BIM-performance in terms of data-transferability in different software-constellations will be collected through protocols and revision of delivered models and b) the team performance using different BIM-tools will be assessed through protocols and recorded feedback workshop.
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In prediction experiments, the data are divided into two subsets.
SF contributed to the experiments, the data analysis and the manuscript.
We prototyped CARAM and run experiments the data in STAR [4] during the course of 2015.
In order to accommodate our range of experiments, the data was divided into sub-datasets.
For all experiments the data were presented as mean ± SEM.
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