TUD R Cafe Plot-a-thon: 4TU.RD stats
doi:10.4121/1b6920f4-1e2d-4c7d-b07a-39de8cf2d3d5.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: 10.4121/1b6920f4-1e2d-4c7d-b07a-39de8cf2d3d5
doi: 10.4121/1b6920f4-1e2d-4c7d-b07a-39de8cf2d3d5
Datacite citation style:
Forgaci, Claudiu (2023): TUD R Cafe Plot-a-thon: 4TU.RD stats. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/1b6920f4-1e2d-4c7d-b07a-39de8cf2d3d5.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software
licence
CC BY 4.0
Overview of general 4TU.RD stats.
history
- 2023-10-11 first online, published, posted
publisher
4TU.ResearchData
organizations
TU Delft, Faculty of Architecture and the Built Environment, Department of Urbanism, Section of Urban Design
DATA
To access the source code, use the following command:
git clone https://data.4tu.nl/v3/datasets/6b06c437-50e8-4f1f-abd9-83e5c194753f.git