Fracture Patterns from the Lilstock Pavement, Bristol Channel, UK
DOI:10.4121/14039234.v1
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DOI: 10.4121/14039234
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
Usage statistics
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views
1
citations
6090
downloads
Categories
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 4.0
Interoperability
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.
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.ResearchDataFormat
shp/csv/matDerived from
Organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience & Engineering;TU Eindhoven, Department of Mechanical Engineering
DATA
Files (81)
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