Technology Cluster Data extracted from USPTO Patent Grants (2000-2011)
DOI:10.4121/18858683.v1
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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
by
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.
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.ResearchDataFormat
csv filesAssociated peer-reviewed publication
The Development of Technology Cluster Innovation Performance: Health and Sustainable EnergyReferences
Derived from
Organizations
TU Delft, Faculty of Technology, Policy and Management, Department of Values Technology and InnovationDATA
Files (39)
- 7,876 bytesMD5:
7cb217ced7d21275cb1132e84a4c7937README.txt - 83,190 bytesMD5:
b3188dc45d6dac0d95c708eaac766e9dcluster_20.csv - 76,207 bytesMD5:
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6487f636227afe3003ba23346120c8cdcluster_bio.csv - 34,394 bytesMD5:
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1a54bb795f642208b56ee163000b8db2cluster_ev.csv - 28,524 bytesMD5:
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dd17cf1c4f439a36fe84af3cc4f4b513distance_pv.csv - 241,159 bytesMD5:
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a7e073b0187fd19c01c2da158aa5d390spatial_10inv.csv - 16,117 bytesMD5:
e14cb437ccc58b67e106eea5f74cd9c2spatial_20inv.csv -
download all files (zip)
23,944,110 bytes unzipped
