TUD R Cafe Plot-a-thon: 4TU.RD stats
DOI:10.4121/1b6920f4-1e2d-4c7d-b07a-39de8cf2d3d5.v1
The DOI displayed 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.ResearchDataOrganizations
TU Delft, Faculty of Architecture and the Built Environment, Department of Urbanism, Section of Urban DesignTo access the source code, use the following command:
git clone https://data.4tu.nl/v3/datasets/6b06c437-50e8-4f1f-abd9-83e5c194753f.git
