Fracture Patterns from the Lilstock Pavement, Bristol Channel, UK

doi: 10.4121/14039234.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/14039234
Datacite citation style:
Prabhakaran, Rahul; Urai, Janos L; Bertotti, Giovanni; Weismüller, Christopher; Smeulders, David M. J. (2021): Fracture Patterns from the Lilstock Pavement, Bristol Channel, UK. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/14039234.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Delft University of Technology logo
usage stats
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citations
3530
downloads
geolocation
Lilstock, Bristol Channel, UK
lat (N): 51°12'10.4"N
lon (E): 3°11'59.8"W
view on openstreetmap
time coverage
2021
licence
cc-by-sa.png logo CC BY-SA 4.0
This dataset contains 2D fracture network data automatically traced from UAV-photogrammetry over the Lilstock limestone outcrops in the Bristol Channel, UK. The data consists of five large-scale networks pertaining to spatially discontinuous layers. These are named as Areas 1-5.

The fracture data corresponding to the five areas are available in three formats (1) as ESRI shapefiles of polylines (2) as csv files of graph node lists, edge lists, and spatial positioning information of nodes (3) as MATLAB graph objects and spatial positioning matrices

The shapefiles may be projected to UTM Zone 30 N or Coordinate Reference System EPSG: 32630. The MATLAB graph objects can be georeferenced by shifting origin of the respective spatial positioning matrices using the 'xmin', 'ymin' variables. The graph data in the form of csv files of nodes, edges, and spatial positioning information can be used to generate graphs in R, Python etc.

In addition to the fracture data, shape files of enclosed polygons corresponding to each of the five areas, and dual graphs are also attached.

history
  • 2021-02-26 first online, published, posted
publisher
4TU.ResearchData
format
shp/csv/mat
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience & Engineering;
TU Eindhoven, Department of Mechanical Engineering

DATA

files (81)