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.3269732</identifier> <creators> <creator> <creatorName>Graßhoff, Gerd</creatorName> <givenName>Gerd</givenName> <familyName>Graßhoff</familyName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4450-357X</nameIdentifier> <affiliation>Humboldt University Berlin</affiliation> </creator> <creator> <creatorName>Bier, Sabrina</creatorName> <givenName>Sabrina</givenName> <familyName>Bier</familyName> <affiliation>Humboldt University Berlin</affiliation> </creator> </creators> <titles> <title>Database of abstracts in publications on exoplanets from the NASA archive</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2019</publicationYear> <subjects> <subject>publications on exoplanets, NASA data, pandas, JSON</subject> </subjects> <dates> <date dateType="Issued">2019-07-05</date> </dates> <resourceType resourceTypeGeneral="Dataset"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3269732</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3269731</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/opensciencepublishing</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p>Collection of pre-processed data of the abstracts in publications on exoplanets, as collected by NASA. The dataframes are stored as JSON prepared for importing as Pandas dataframes.</p></description> <description descriptionType="Other">collections of abstracts</description> </descriptions> </resource>
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