Technology Cluster Data extracted from USPTO Patent Grants (2000-2011)
doi: 10.4121/18858683.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: 10.4121/18858683
doi: 10.4121/18858683
Datacite citation style:
Stek, Pieter (2022): Technology Cluster Data extracted from USPTO Patent Grants (2000-2011). Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/18858683.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
CC0by
Pieter Stek
This dataset is a supplement for P.E. Stek's PhD Thesis project titled "The Development of Technology Cluster Innovation
Performance: Health and Sustainable Energy" (January 2022). The dataset covers approximately 20 high technology sectors and is useful for comparative technology sector analysis. The patent distance data used to measure the effectiveness of the cluster identification method is also included.
history
- 2022-04-28 first online, published, posted
publisher
4TU.ResearchData
format
csv files
associated peer-reviewed publication
The Development of Technology Cluster Innovation Performance: Health and Sustainable Energy
references
derived from
organizations
TU Delft, Faculty of Technology, Policy and Management, Department of Values Technology and Innovation
DATA
files (39)
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e14cb437ccc58b67e106eea5f74cd9c2spatial_20inv.csv - download all files (zip)
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