Dataset Open Access
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.2609187</identifier> <creators> <creator> <creatorName>Saier, Tarek</creatorName> <givenName>Tarek</givenName> <familyName>Saier</familyName> <affiliation>University of Freiburg</affiliation> </creator> <creator> <creatorName>Färber, Michael</creatorName> <givenName>Michael</givenName> <familyName>Färber</familyName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-5458-8645</nameIdentifier> <affiliation>University of Freiburg</affiliation> </creator> </creators> <titles> <title>Bibliometric-Enhanced arXiv: A Data Set for Paper-Based and Citation-Based Tasks</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2019</publicationYear> <subjects> <subject>scholarly data</subject> <subject>citations</subject> <subject>papers</subject> <subject>arXiv.org</subject> <subject>digital libraries</subject> <subject>dataset</subject> </subjects> <dates> <date dateType="Issued">2019-02-01</date> </dates> <resourceType resourceTypeGeneral="Dataset"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2609187</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="URL" relationType="IsDocumentedBy">http://ceur-ws.org/Vol-2345/paper2.pdf</relatedIdentifier> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.2553522</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/bibliometrics</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/natural-language-processing</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/scholarly-data</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p>We propose a new data set based on <strong>all publications from all scientific fields available on arXiv.org</strong>. Apart from providing the <strong>papers&#39; plain text</strong>, <strong>in-text citations</strong> were annotated via global identifiers. As far as possible, cited publications were linked to the <strong>Microsoft Academic Graph</strong>. Our data set consists of <strong>over one million documents</strong> and <strong>29.2 million citation contexts</strong>. The data set, which is made freely available for research purposes, not only can enhance the future evaluation of researchpaper-based and citation context-based approaches but also serve as a basis for novel ideas to analyze papers.</p> <p>More information can be found in our paper <a href="http://ceur-ws.org/Vol-2345/paper2.pdf">Bibliometric-Enhanced arXiv: A Data Set for Paper-Based and Citation-Based Tasks</a>.</p> <p>See <a href="https://github.com/IllDepence/unarXive">https://github.com/IllDepence/unarXive</a> for the source code which has been used for creating the data set.</p></description> </descriptions> </resource>
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