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This companion dataset relates to the manuscript "Detecting geometric anomalies within a subsurface interface using spatial clustering with unsupervised learning", by Michał Michalak, Lesław Teper, Florian Wellmann, Jerzy Żaba, Krzysztof Gaidzik and Marcin Kostur. The archive contains the input and processed data. The input data contains XYZ coordinates of points documenting the investigated interface between Middle-Jurassic units. Processed data can be either uploaded to ParaView (.vtu files) or visualized in terms of clustering results (e.g. in RStudio).
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 3 |

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