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267 results for “Patent”
ARIPO patent data for IVD-related patent classifications
<p>ARIPO Dataset_v2.ods dataset was scraped from the ARIPO E-Service database using Octoparse using the IPC classifications below. The exported task is provided as ARIPO Database_Copy.otd:</p> <table> <tbody> <tr> <td> <p><strong>IPC Code</strong></p> </td> <td> <p><strong>Description</strong></p> </td> </tr> <tr> <td> <p>B01L 3/00</p> </td> <td> <p>Containers or dishes for laboratory use, e.g. laboratory glassware (bottles B65D; apparatus for enzymology or microbiology C12M 1/00); Droppers (receptacles for volumetric purposes G01F) [2006.01]</p> </td> </tr> <tr> <td> <p>G01N 33/50</p> </td> <td> <p>Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing (measuring or testing processes other than immunological involving enzymes or microorganisms, compositions or test papers therefor, processes of forming such compositions, condition responsive control in microbiological or enzymological processes C12Q) [2006.01]</p> </td> </tr> <tr> <td> <p>C12N 9/00</p> </td> <td> <p>Enzymes, e.g. ligases (6.); Proenzymes; Compositions thereof (preparations containing enzymes for cleaning teeth A61K 8/66, A61Q 11/00; medicinal preparations containing enzymes or proenzymes A61K 38/43; enzyme containing detergent compositions C11D); Processes for preparing, activating, inhibiting, separating, or purifying enzymes [2006.01]</p> </td> </tr> <tr> <td> <p>C12N 11/00</p> </td> <td> <p>Carrier-bound or immobilised enzymes; Carrier-bound or immobilised microbial cells; Preparation thereof [2006.01]</p> </td> </tr> <tr> <td> <p>C12N 15/00<br> </p> </td> <td> <p>Mutation or genetic engineering; DNA or RNA concerning genetic engineering, vectors, e.g. plasmids, or their isolation, preparation or purification; Use of hosts therefor (mutants or genetically engineered microorganisms C12N 1/00, C12N 5/00, C12N 7/00; new plants A01H; plant reproduction by tissue culture techniques A01H 4/00; new animals A01K 67/00; use of medicinal preparations containing genetic material which is inserted into cells of the living body to treat genetic diseases, gene therapy A61K 48/00; peptides in general C07K) [2006.01]</p> </td> </tr> <tr> <td> <p>C12Q</p> </td> <td> <p>Measuring or testing processes involving enzymes, nucleic acids or microorganisms (immunoassay G01N 33/53); compositions or test papers therefor; processes of preparing such compositions; condition-responsive control in microbiological or enzymological processes [3]</p> </td> </tr> </tbody> </table> <p><strong>Octoparse Method</strong></p> <ol> <li> <p>Go to ARIPO Advanced Search website</p> </li> </ol> <ol> <li> <p>Uncheck Utility Model, Industrial Design, Trademark checkboxes</p> </li> <li> <p>Enter date range 01011960~04222022</p> </li> <li> <p>Enter IPC categories as per Appendix 1 [only one per search]</p> </li> <li> <p>Click Search</p> </li> <li> <p>Adjust items per page from 10 to 40</p> </li> <li> <p>Extract data, looping through each record on the page</p> </li> <li> <p>Click next page button and repeat</p> </li> <li> <p>Click next button to bring up next five pages and repeat until end.</p> </li> </ol> <p> </p> <p><strong>ARIPO_Journal_Dataset_v2.ods</strong></p> <p>This dataset was downloaded from the ARIPO journal publication server using a browser-based scraping software.</p> <p> </p> <p> </p>
Tweets from the European Patent Office account (@epoorg): April 2009-July 2022
<p>19566 tweets released by th the European Patent Office account (@epoorg): April 2009-July 2022.</p> <p>Fields: id<gx:category>, author_id<gx:category>, author_name<gx:category>, author_handler<gx:category>, author_avatar<gx:url> ,user_created_at<gx:date>, user_description<gx:text>, user_favourites_count<gx:number>, user_followers_count<gx:number>, user_following_count<gx:number>, user_listed_count<gx:number>, user_tweets_count<gx:number>, user_verified<gx:boolean>, user_location<gx:text>, lang<gx:category>, type<gx:category>,text<gx:text>, date<gx:date>, mention_ids<gx:list[category]>, mention_names<gx:list[category]>, retweets<gx:number>, favorites<gx:number>, replies<gx:number>, quotes<gx:number>, links<gx:list[url]>, links_first<gx:url>, image_links<gx:list[url]>, image_links_first<gx:url>, rp_user_id<gx:category>, rp_user_name<gx:category>, location<gx:text>, tweet_link<gx:url>, source<gx:text>, search<gx:category></p>
Data and code for: Community structure in co-inventor networks affects time to first citation for patents
<p>This package provides the datasets and programming code needed to reproduce the results reported in the article "Community structure in co-inventor networks affects time to first citation for patents".</p> <p>v2: Added data and code pertaining to randomized-community-association test and updated README file.</p>
Webis Patent Retrieval Corpus 2012 (Webis-PRA-12)
<p>The Webis Patent Retrieval Corpus 2012 (Webis-PRA-12) is a corpus for studying the impact of misspelled companies on patent retrieval.</p> <p>The corpus contains 14,189 different company names extracted on the basis of 2,132,825 patents granted by the United States Patent and Trademark Office (USPTO) between 2001 and 2010.</p>
DATABASE: Electric Vehicle, Battery and Smart Grid patent citation networks and main paths.
<p>This dataset comprises the original patent citation networks that were created to calculate the main citation paths for the technologies of Electric Vehicle, Battery and Smart Grid.</p> <p>For each technology (1- Electric Vehicle, 2- Battery, 3- Smart Grid), four outputs are provided:</p> <p>a- Patent extraction: USPTO patents filtered by IPC or CPC and found in the Triadic Patent Families database (OECD, 2021) </p> <p>b- Full nodes and links reconstructed by following patent citations through a snowball method (until no further patents found)</p> <p>c- Filtered nodes and links according to keywords</p> <p>d- Main path nodes and links (with citation weights).</p> <p>For a detailed explanation of the methodology please refer to the submitted paper:</p> <p><strong>Transitions as a coevolutionary process: the urban emergence of electric vehicle inventions</strong></p>
US Patent Similarity Data
<p>Pairwise semantic similarity measures for US utility patents. Includes measures for citing/cited patent pairs, 100 most-similar patents for each patent, and doc2vec vectors for each patent. Second edition includes .npy file needed to generate new text embeddings using the pre-trained model.</p>
Exploring the Impact of Negative Sampling on Patent Citation Recommendation
<ul> <li> <p><strong>pcr_patents.csv </strong>is the dataset which is generated by collecting samples randomly from Google Patents by exploiting a <a href="https://pypi.org/project/google-patent-scraper/">Python library</a>. The dataset comprises around 250,000 US patents and their titles, abstracts, and citations. Each patent has roughly on average 27 citations.</p> </li> </ul> <p>The zip file contains 3 different datasets for training and testing patent citation recommendation systems. These datasets were generated by utilizing the main dataset. They consist of around 1 million instances which are positive as well as negative samples. </p> <ul> <li> <p><strong>pcr_cpc_negative_sample_data.csv</strong> consists of negative samples that were generated based on CPC subclass codes. </p> </li> <li> <p><strong>pcr_random_negative_sample_data.csv</strong> consists of negative samples that were generated randomly. </p> </li> <li> <p><strong>pcr_sem_sim_negative_sample_data_2.csv</strong> consists of negative samples that were generated based on nearest neighbor relation.</p> </li> </ul>
Replication Package for: Mapping Firms' Locations in Technological Space: A Topological Analysis of Patent Statistics
<p>This replication package contains the data and the code to generate the paper’s main results, as well as the Online Appendix, for “Mapping Firms’ Locations in Technological Space: A Topological Analysis of Patent Statistics” by Emerson G. Escolar, Yasuaki Hiraoka, Mitsuru Igami, and Yasin Ozcan (published in <em>Research Policy</em>, volume 52, issue 8, October 2023; full text available online at https://doi.org/10.1016/j.respol.2023.104821).</p>
Economically Based Product Process Patent Dataset (EPP)
<p>This dataset provides the share of a patent's independent publication claims which are classified as process innovations as described in: “Measuring Product and Process Innovation from 1980-2015” (Davison). The measurement is available for all patents granted to U.S. publicly traded manufacturing firms that appear in the <a href="https://doi.org/10.5281/zenodo.4320782">DISCERN database</a>. The underlying code for the creation of the data is available at the following <a href="https://github.com/colindavison/product-process">Github repository</a>.</p>
Recueil des édits, déclarations, lettres-patentes, &c. enregistrés au parlement de Flandres; des arrêts du Conseil d'État (Volume 6)
<p>Titel: <em> </em><em><a href="http://solo.bodleian.ox.ac.uk/primo-explore/fulldisplay?docid=oxfaleph013910074&context=L&vid=SOLO&lang=en_US&tab=local&query=any,contains,Recueil%20des%20%C3%A9dits,%20d%C3%A9clarations,%20lettres-pa">Recueil des édits, déclarations, lettres-patentes, &c. enregistrés au parlement de Flandres; des arrêts du Conseil d'État particuliers à son ressort; ensemble des arrêts de réglemens rendus par cette cour</a> (Volume 6)</em></p> <p>Publisher: Derbaix</p> <p>Place: Douay </p> <p>Year: 1787</p> <p>Used version: The copy we used for the transcriptions is held at the Bodleian Library of Oxford University.</p> <p>Link digitised version of the book: http://solo.bodleian.ox.ac.uk/primo-explore/fulldisplay?docid=oxfaleph013910074&context=L&vid=SOLO&lang=en_US&search_scope=LSCOP_ALL&adaptor=Local%20Search%20Engine&tab=local&query=any,contains,Recueil%20des%20%C3%A9dits,%20d%C3%A9clarations,%20lettres-pa</p> <p>(Main) Language: French.</p> <p>Province: Flanders.</p> <p>Font: Roman.</p> <p>Model used: French_18thC_Print.</p> <p>Version of Transkribus used: v.1.9.1.</p> <p>Other info: Abbyy FineReader v.11 has been used.</p> <p>Link model: For more information on the HTR-model used, please visit: <a href="https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries">https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries</a>.</p> <p>Transcription conventions:</p> <ul> <li> <p>The abbreviations have been written out into full words.</p> </li> <li> <p>The hyphens at the end of a line have been kept (when there).</p> </li> </ul> <p>If you are in need of the original scans of the documents, please contact <a href="mailto:xxxxxx@kb.nl">dataservices@kb.nl</a>.</p> <p>This transcription is part of the dataset created with the ‘Entangled Histories’-project.</p> <p>PI: dr. C.A. Romein;<br> Scientific Programmer: S.F. Veldhoen, MSc;<br> Project Manager: drs. M. de Gruijter.</p> <p> </p>
Recueil des édits, déclarations, lettres-patentes, &c. enregistrés au parlement de Flandres; des arrêts du Conseil d'État (Volume 1)
<p>Titel: <em> </em><em><a href="http://solo.bodleian.ox.ac.uk/primo-explore/fulldisplay?docid=oxfaleph013910074&context=L&vid=SOLO&lang=en_US&tab=local&query=any,contains,Recueil%20des%20%C3%A9dits,%20d%C3%A9clarations,%20lettres-pa">Recueil des édits, déclarations, lettres-patentes, &c. enregistrés au parlement de Flandres; des arrêts du Conseil d'État particuliers à son ressort; ensemble des arrêts de réglemens rendus par cette cour</a> (Volume 1)</em></p> <p>Publisher: Derbaix</p> <p>Place: Douay </p> <p>Year: 1785</p> <p>Used version: The copy we used for the transcriptions is held at the Bodleian Library of Oxford University.</p> <p>Link digitised version of the book: http://solo.bodleian.ox.ac.uk/primo-explore/fulldisplay?docid=oxfaleph013910074&context=L&vid=SOLO&lang=en_US&search_scope=LSCOP_ALL&adaptor=Local%20Search%20Engine&tab=local&query=any,contains,Recueil%20des%20%C3%A9dits,%20d%C3%A9clarations,%20lettres-pa </p> <p>(Main) Language: French.</p> <p>Province: Flanders.</p> <p>Font: Roman.</p> <p>Model used: French_18thC_Print.</p> <p>Version of Transkribus used: v.1.9.1.</p> <p>Other info: Abbyy FineReader v.11 has been used.</p> <p>Link model: For more information on the HTR-model used, please visit: <a href="https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries">https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries</a>.</p> <p>Transcription conventions:</p> <ul> <li> <p>The abbreviations have been written out into full words.</p> </li> <li> <p>The hyphens at the end of a line have been kept (when there).</p> </li> </ul> <p>If you are in need of the original scans of the documents, please contact <a href="mailto:xxxxxx@kb.nl">dataservices@kb.nl</a>.</p> <p>This transcription is part of the dataset created with the ‘Entangled Histories’-project.</p> <p>PI: dr. C.A. Romein;<br> Scientific Programmer: S.F. Veldhoen, MSc;<br> Project Manager: drs. M. de Gruijter.</p> <p> </p>
Recueil des édits, déclarations, lettres-patentes, &c. enregistrés au parlement de Flandres; des arrêts du Conseil d'État (Volume 2)
<p>Titel: <em> </em><em><a href="http://solo.bodleian.ox.ac.uk/primo-explore/fulldisplay?docid=oxfaleph013910074&context=L&vid=SOLO&lang=en_US&tab=local&query=any,contains,Recueil%20des%20%C3%A9dits,%20d%C3%A9clarations,%20lettres-pa">Recueil des édits, déclarations, lettres-patentes, &c. enregistrés au parlement de Flandres; des arrêts du Conseil d'État particuliers à son ressort; ensemble des arrêts de réglemens rendus par cette cour</a></em></p> <p>Publisher: Derbaix</p> <p>Place: Douay </p> <p>Year: 1785</p> <p>Used version: The copy we used for the transcriptions is held at the Bodleian Library of Oxford University.</p> <p>Link digitised version of the book: http://solo.bodleian.ox.ac.uk/primo-explore/fulldisplay?docid=oxfaleph013910074&context=L&vid=SOLO&lang=en_US&search_scope=LSCOP_ALL&adaptor=Local%20Search%20Engine&tab=local&query=any,contains,Recueil%20des%20%C3%A9dits,%20d%C3%A9clarations,%20lettres-pa </p> <p>(Main) Language: French.</p> <p>Province: Flanders.</p> <p>Font: Roman.</p> <p>Model used: French_18thC_Print.</p> <p>Version of Transkribus used: v.1.9.1.</p> <p>Other info: Abbyy FineReader v.11 has been used.</p> <p>Link model: For more information on the HTR-model used, please visit: <a href="https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries">https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries</a>.</p> <p>Transcription conventions:</p> <ul> <li> <p>The abbreviations have been written out into full words.</p> </li> <li> <p>The hyphens at the end of a line have been kept (when there).</p> </li> </ul> <p>If you are in need of the original scans of the documents, please contact <a href="mailto:xxxxxx@kb.nl">dataservices@kb.nl</a>.</p> <p>This transcription is part of the dataset created with the ‘Entangled Histories’-project.</p> <p>PI: dr. C.A. Romein;<br> Scientific Programmer: S.F. Veldhoen, MSc;<br> Project Manager: drs. M. de Gruijter.</p> <p> </p>
Recueil des édits, déclarations, lettres-patentes, &c. enregistrés au parlement de Flandres; des arrêts du Conseil d'État (Volume 5)
<p>Titel: <em> </em><em><a href="http://solo.bodleian.ox.ac.uk/primo-explore/fulldisplay?docid=oxfaleph013910074&context=L&vid=SOLO&lang=en_US&tab=local&query=any,contains,Recueil%20des%20%C3%A9dits,%20d%C3%A9clarations,%20lettres-pa">Recueil des édits, déclarations, lettres-patentes, &c. enregistrés au parlement de Flandres; des arrêts du Conseil d'État particuliers à son ressort; ensemble des arrêts de réglemens rendus par cette cour</a> (Volume 5)</em></p> <p>Publisher: Derbaix</p> <p>Place: Douay </p> <p>Year: 1787</p> <p>Used version: The copy we used for the transcriptions is held at the Bodleian Library of Oxford University.</p> <p>Link digitised version of the book: http://solo.bodleian.ox.ac.uk/primo-explore/fulldisplay?docid=oxfaleph013910074&context=L&vid=SOLO&lang=en_US&search_scope=LSCOP_ALL&adaptor=Local%20Search%20Engine&tab=local&query=any,contains,Recueil%20des%20%C3%A9dits,%20d%C3%A9clarations,%20lettres-pa</p> <p> </p> <p>(Main) Language: French.</p> <p>Province: Flanders.</p> <p>Font: Roman.</p> <p>Model used: French_18thC_Print.</p> <p>Version of Transkribus used: v.1.9.1.</p> <p>Other info: Abbyy FineReader v.11 has been used.</p> <p>Link model: For more information on the HTR-model used, please visit: <a href="https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries">https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries</a>.</p> <p>Transcription conventions:</p> <ul> <li> <p>The abbreviations have been written out into full words.</p> </li> <li> <p>The hyphens at the end of a line have been kept (when there).</p> </li> </ul> <p>If you are in need of the original scans of the documents, please contact <a href="mailto:xxxxxx@kb.nl">dataservices@kb.nl</a>.</p> <p>This transcription is part of the dataset created with the ‘Entangled Histories’-project.</p> <p>PI: dr. C.A. Romein;<br> Scientific Programmer: S.F. Veldhoen, MSc;<br> Project Manager: drs. M. de Gruijter.</p> <p> </p>
Salep orchid patent documents
<p>Spreadsheet of patent documents referring to salep, used in publication: 'Patent analysis as a novel method for exploring commercial interest in wild harvested species' Biological Conservation </p>
Dataset for Patent Landscape, update M36 (Mar 2020)
<p>Collection of .csv files with raw patent data, analysed to obtain landscaping information on technologies overlapping with the project. Used to produce the deliverable “Patent and scientific literature study M36” D7.7. The data where obtained on <a href="http://www.thelens.org">www.thelens.org</a></p>
Patentes universidades Colombia ( 2000 - 2018)
<p>Consolidado de los datos de las patentes de Universidad en Colombia. Parte del servicio de vigilancia tecnológica del Observatorio de Cienciometría de la Universidad Santo Tomás.</p> <p>Ecuación de búsqueda</p> <p>Fuente: Superintendencia de industria y comercio</p> <p>Periodo de análisis: 2000 - 2018</p> <p>Herramientas: Microsoft Excel</p> <p>Fecha de consulta: 17/02/2020</p>
Patent Landscape of Mobile Device Technologies in India
<p>This dataset contains a landscape of 23,569 patents and patent applications registered in India and relevant to the domain of mobile technology. These patents and patent applications are held by 50 Indian and non-Indian companies operating in the country. The patent landscape has been released under the Creative Commons-Attribution-Share Alike 4.0 (CC-BY-SA 4.0) License as a part of the Pervasive Technologies research project at the Centre for Internet and Society, India. </p> <p>This study was conducted by Prof Jorge Contreras at the University of Utah, USA, and Rohini Lakshané at the Centre for Internet and Society, India. </p> <p>For the detailed methodology used for drawing up this landscape, refer to: <a href="http://cis-india.org/a2k/blogs/patent-landscaping-in-the-indian-mobile-device-market">http://cis-india.org/a2k/blogs/patent-landscaping-in-the-indian-mobile-device-market</a></p> <p>A paper titled "<a href="https://scholarship.law.vanderbilt.edu/vjtl/vol50/iss1/1/">Patents and Mobile Devices in India: An Empirical Survey</a>" published in the Vanderbilt Journal of Transnational Law (2017) presents an analysis of this patent landscape.</p> <p>For queries regarding the dataset or its reuse, write to rohini dot lakshane at gmail dot com. </p>
Nano patents from Spain in Espacenet (2004-2014)
<p>This dataset include 3278 patents from Spain in field Nanotechnology, based in this query:</p> <p>#1 PD=2004:2014</p> <p>#2 PA=[ES] </p> <p>#3 IN=[ES]</p> <p>#4 IC=(B82 OR G01Q OR A61K9/51 OR H01F10/32 OR G02F1/017 OR B05D1/20 OR H01F41/30 OR C01B31/0206 OR H01L29/775)</p> <p>#5 TA=(nano* not nano2 not nano3 not nanog not nanosecond* not nanosegund* not nanomol* not nanogram* not nanoplankton* not nanoplancton* or "atom* scale" or "escala* atomic*" or "atomic layer deposition*" or "deposicion* de capa* atomic*" or "giant magnetoresist*" or "magnetorresistencia* gigante*" or graphen* or grafen* or dendrimer* or fulleren* or "c-60" or "langmuirblodgett*" or mesopor* or "molecul* assembl*" or "ensambla* molecul*" or "molecul* wire*" or "alambr*+ molecul*" or "hilo* molecul*" or "porous silicon*" or "silicon* porosa" or "quantum dot*" or "puntocuantic*" or "quantum well*" or "pozocuantic*" or "quantum comput*" or "computa* cuantic*" or "ordenador* cuantic*" or "quantum wire*" or "alambre* cuantic*" or "hilo* cuantic*" or qubit* or "self assembl*" or “autoensambla* or molecul*” or supramolecul* or supermolecul* or "ultrathin film*" or "ultra thin film*" or "lamina ultra-delgada*" or "lamina ultra delgada*")</p> <p>#1 AND (#2 OR #3) AND (#4 OR #5)</p> <p>The keyword query is based in Maghrebi 2010</p> <p>This dataset was used in a PhD dissertation in UGR (Björn Jürgens), two posters (NanoSpain and STI2016), and an article (WPI), more details in references.</p> <p>File format: MS-Excel</p>
Patent data with founding years (augmented)
Open the record for dataset details and reuse information.
Replication Data for the Paper "Is there a secular decline in disruptive patents? Correcting for measurement bias"
<p><strong>Working Paper Title: The Illusive Slump of Disruptive Patents</strong></p> <p>The repository contains replication data and scripts for the paper: </p> <p>Jeffrey T. Macher, Christian Rutzer, Rolf Weder,<br>Is there a secular decline in disruptive patents? Correcting for measurement bias,<br>Research Policy,<br>Volume 53, Issue 5,<br>2024,<br>104992,<br>ISSN 0048-7333,<br>https://doi.org/10.1016/j.respol.2024.104992</p> <p>The core component of the repository is the file `replication_file.R` which is an R script to replicate all figures and tables of the paper.</p> <p>The script relies on multiple data files. The datasets contain CD-values for granted USPTO utility patents for the years 1976-2016. All data is available in two formats, `.fst' (from the R package fst) and `.csv'.</p> <p> </p> <p><strong>Dataset Descriptions</strong></p> <p><strong>Main Datasets:</strong></p> <p>1. `dat_cd5_no_trunc`: This dataset contains the CD5 index of patents based on a method without truncation. </p> <p>2. `dat_cd5_trunc_1975`: This dataset contains the CD5 index of patents based on a truncation method as in Park et al. (Nature, 2023).</p> <p>3. `dat_cd5_no_trunc_app_adj`: This dataset contains the CD5 index of patents based on a method without truncation and including citations to patent applications granted by 2021. </p> <p> </p> <p><strong>Additional Datasets:</strong></p> <p>4. `dat_cd5_trunc_1985`: This dataset contains the CD5 index of patents based on a truncation of all backward citations to patents published before 1985.</p> <p>5. `dat_cd5_trunc_1995`: This dataset contains the CD5 index of patents based on a truncation of all backward citations to patents published before 1995.</p> <p>6. `dat_cd5_no_trunc_app`: This dataset contains the CD5 index of patents based on a method without truncation and including citations to patent applications granted by 2021, as well as those not yet granted. </p> <p>7. `age_bwc_untrunc`: This dataset contains the age of backward citations using untruncated data.</p> <p>8. age_bwc_trunc: This dataset contains the age of backward citations using truncated data as in Park et al. (Nature, 2023).</p> <p>9. `age_bwc_untrunc_app_adj`: This dataset contains the age of backward citations using untruncated data and considering citations of patent applications granted until 2021.</p> <p>10. `dat_cd10_trunc_1975`: This dataset contains the CD10 index of patents based on a truncation method as in Park et al. (Nature, 2023). </p> <p>11. `dat_cd10_no_trunc_app_adj`: This dataset contains the CD10 index of patents based on a method without truncation and including citations to patent applications granted by 2021. </p> <p>12. `dat_cd2021_trunc_1975`: This dataset contains the CD index as of 2021 of patents based on a truncation method as in Park et al. (Nature, 2023). </p> <p>13. `dat_cd2021_no_trunc_app_adj`: This dataset contains the CD index as of 2021 of patents based on a method without truncation and including citations to patent applications granted by 2021. </p> <p> </p> <p>To successfully run the `replication_file.R' script, make sure all data files are in the directory and the `mainDir1' variable at the beginning of the script is set to the correct path to where the data is stored. In addition, set the `mainDir2' variable to the folder where you want to store the figures created by the script. </p> <p>If you have any questions, please contact christian.rutzer@unibas.ch</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.