PatentCity: a dataset to study the location of patents since the 19th century
PatentCity is a dataset that provides information on each individual patents filed in the US patent office since 1836, on the UK patent office since 1894, on the French patent office since 1903 and on the German patent office (including East Germany) since 1877. Each entry is a patent publication al...
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Dataset |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | Bergeaud, Antonin Verluise Cyril |
description | PatentCity is a dataset that provides information on each individual patents filed in the US patent office since 1836, on the UK patent office since 1894, on the French patent office since 1903 and on the German patent office (including East Germany) since 1877.
Each entry is a patent publication along with standard information taken from patent offices (publication number, date of publication, technological classes…) which are enriched with additional details processed from the text of the patents.
This includes: the name of each patentee (assignees or inventors), its geocoded address and when applicable its occupation and citizenship.
PatentCity can be used in a variety of disciplines, geography, economics, history of science… and has been designed to be easily merged with existing geographical or technological sources.
Github of the project: github.com/cverluise/patentcity
Documentation : cverluise.github.io/patentcity
Descriptive paper : www.longtermproductivity.com/perso/Patentcity_desc.pdf |
doi_str_mv | 10.7910/dvn/pg6thv |
format | Dataset |
fullrecord | <record><control><sourceid>datacite_PQ8</sourceid><recordid>TN_cdi_datacite_primary_10_7910_dvn_pg6thv</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_7910_dvn_pg6thv</sourcerecordid><originalsourceid>FETCH-LOGICAL-d71v-65e4e9d648d1ecc011eadef414d8f922dd69fcb7fda8a4bbce3a368d05dde2db3</originalsourceid><addsrcrecordid>eNotj0trwzAQhHXpoaS99BfoXHAj2Yps9VZMX5DQHnIXa-2qFqS2sTcG__vm0dPAzDDMJ8SDVk-l02qNc7cefiy3863YfQNTx3Xi5VmCRGCYiCX3cuIjLpJbkoc-AKe-k32Uw6U-ySl1gS6pdtzKcDKP43InbiIcJrr_15XYv73u649s-_X-Wb9sMyz1nNkNGXJoTYWaQlBaEyBFow1W0eU5onUxNGVEqMA0TaACCluh2iBSjk2xEo_X2fPdkJj8MKZfGBevlT8j-hOivyIWfw0STlc</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>dataset</recordtype></control><display><type>dataset</type><title>PatentCity: a dataset to study the location of patents since the 19th century</title><source>DataCite</source><creator>Bergeaud, Antonin ; Verluise Cyril</creator><creatorcontrib>Bergeaud, Antonin ; Verluise Cyril</creatorcontrib><description>PatentCity is a dataset that provides information on each individual patents filed in the US patent office since 1836, on the UK patent office since 1894, on the French patent office since 1903 and on the German patent office (including East Germany) since 1877.
Each entry is a patent publication along with standard information taken from patent offices (publication number, date of publication, technological classes…) which are enriched with additional details processed from the text of the patents.
This includes: the name of each patentee (assignees or inventors), its geocoded address and when applicable its occupation and citizenship.
PatentCity can be used in a variety of disciplines, geography, economics, history of science… and has been designed to be easily merged with existing geographical or technological sources.
Github of the project: github.com/cverluise/patentcity
Documentation : cverluise.github.io/patentcity
Descriptive paper : www.longtermproductivity.com/perso/Patentcity_desc.pdf</description><identifier>DOI: 10.7910/dvn/pg6thv</identifier><language>eng</language><publisher>Harvard Dataverse</publisher><subject>History of Innovation ; Social Sciences</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0003-4269-5886</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>776,1888</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.7910/dvn/pg6thv$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Bergeaud, Antonin</creatorcontrib><creatorcontrib>Verluise Cyril</creatorcontrib><title>PatentCity: a dataset to study the location of patents since the 19th century</title><description>PatentCity is a dataset that provides information on each individual patents filed in the US patent office since 1836, on the UK patent office since 1894, on the French patent office since 1903 and on the German patent office (including East Germany) since 1877.
Each entry is a patent publication along with standard information taken from patent offices (publication number, date of publication, technological classes…) which are enriched with additional details processed from the text of the patents.
This includes: the name of each patentee (assignees or inventors), its geocoded address and when applicable its occupation and citizenship.
PatentCity can be used in a variety of disciplines, geography, economics, history of science… and has been designed to be easily merged with existing geographical or technological sources.
Github of the project: github.com/cverluise/patentcity
Documentation : cverluise.github.io/patentcity
Descriptive paper : www.longtermproductivity.com/perso/Patentcity_desc.pdf</description><subject>History of Innovation</subject><subject>Social Sciences</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2022</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNotj0trwzAQhHXpoaS99BfoXHAj2Yps9VZMX5DQHnIXa-2qFqS2sTcG__vm0dPAzDDMJ8SDVk-l02qNc7cefiy3863YfQNTx3Xi5VmCRGCYiCX3cuIjLpJbkoc-AKe-k32Uw6U-ySl1gS6pdtzKcDKP43InbiIcJrr_15XYv73u649s-_X-Wb9sMyz1nNkNGXJoTYWaQlBaEyBFow1W0eU5onUxNGVEqMA0TaACCluh2iBSjk2xEo_X2fPdkJj8MKZfGBevlT8j-hOivyIWfw0STlc</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Bergeaud, Antonin</creator><creator>Verluise Cyril</creator><general>Harvard Dataverse</general><scope>DYCCY</scope><scope>PQ8</scope><orcidid>https://orcid.org/0000-0003-4269-5886</orcidid></search><sort><creationdate>2022</creationdate><title>PatentCity: a dataset to study the location of patents since the 19th century</title><author>Bergeaud, Antonin ; Verluise Cyril</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-d71v-65e4e9d648d1ecc011eadef414d8f922dd69fcb7fda8a4bbce3a368d05dde2db3</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2022</creationdate><topic>History of Innovation</topic><topic>Social Sciences</topic><toplevel>online_resources</toplevel><creatorcontrib>Bergeaud, Antonin</creatorcontrib><creatorcontrib>Verluise Cyril</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Bergeaud, Antonin</au><au>Verluise Cyril</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>PatentCity: a dataset to study the location of patents since the 19th century</title><date>2022</date><risdate>2022</risdate><abstract>PatentCity is a dataset that provides information on each individual patents filed in the US patent office since 1836, on the UK patent office since 1894, on the French patent office since 1903 and on the German patent office (including East Germany) since 1877.
Each entry is a patent publication along with standard information taken from patent offices (publication number, date of publication, technological classes…) which are enriched with additional details processed from the text of the patents.
This includes: the name of each patentee (assignees or inventors), its geocoded address and when applicable its occupation and citizenship.
PatentCity can be used in a variety of disciplines, geography, economics, history of science… and has been designed to be easily merged with existing geographical or technological sources.
Github of the project: github.com/cverluise/patentcity
Documentation : cverluise.github.io/patentcity
Descriptive paper : www.longtermproductivity.com/perso/Patentcity_desc.pdf</abstract><pub>Harvard Dataverse</pub><doi>10.7910/dvn/pg6thv</doi><orcidid>https://orcid.org/0000-0003-4269-5886</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | DOI: 10.7910/dvn/pg6thv |
ispartof | |
issn | |
language | eng |
recordid | cdi_datacite_primary_10_7910_dvn_pg6thv |
source | DataCite |
subjects | History of Innovation Social Sciences |
title | PatentCity: a dataset to study the location of patents since the 19th century |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T22%3A08%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-datacite_PQ8&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.au=Bergeaud,%20Antonin&rft.date=2022&rft_id=info:doi/10.7910/dvn/pg6thv&rft_dat=%3Cdatacite_PQ8%3E10_7910_dvn_pg6thv%3C/datacite_PQ8%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |