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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Wind Energy Patent Dataset

Authors: Wang, Yiwen; Baker, Erin; Goldstein, Anna; Fung, Kaitlin;

Wind Energy Patent Dataset

Abstract

General Information This dataset contains patent information related to wind energy technologies identified using the methodology described by Fung et al. (2023) and Wang et al. (2024). The methodology aims to enhance the retrieval of wind energy patents and to distinguish offshore and onshore wind energy patents. Data description We provide the SQL queries used for patent retrieval, along with the resulting patent dataset in CSV format. The dataset, derived from the 2016 Spring EPO PATSTAT database, includes information such as patent application ID, patent title, patent abstract, and other relevant fields. SQL files contain the queries used for wind energy patent retrieval. WEDD1.sql: query for retrieving wind patents using conventional classification codes wind_keywods.sql: query for retrieving wind patents using keywords WEDD3.sql: query for retrieving wind patents using enhanced codes and keywords offshore_onshore_only_domain.sql: query for distinguishing between offshore and onshore-only wind energy patents CSV files contain the resulting datasets of wind energy patents (enhanced domain), offshore wind and onshore wind energy patents. appln_id: Application identification appln_nr_epodoc: Application number in EPODOC format appln_title: Title of application (in UTF-8 encoding) appln_abstract: Abstract of application (in UTF-8 encoding) appln_filing_year: Year of the application filing date cpc_class_symbol: Cooperative Patent Classification by application Note: Please refer to the Data Catalog of PATSTAT for more detailed descriptions of the fields. 

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average