{"dcterms:modified":"2024-09-04","dcterms:creator":"Harvard Dataverse","@type":"ore:ResourceMap","schema:additionalType":"Dataverse OREMap Format v1.0.0","dvcore:generatedBy":{"@type":"schema:SoftwareApplication","schema:name":"Dataverse","schema:version":"6.3 build 8c99a74+10614+10720+10808+10797+10820-iqss","schema:url":"https://github.com/iqss/dataverse"},"@id":"https://dataverse.harvard.edu/api/datasets/export?exporter=OAI_ORE&persistentId=https://doi.org/10.7910/DVN/U20MMB","ore:describes":{"publication":{"publicationCitation":"arXiv:2405.02163 [hep-ex]","publicationIDType":"arXiv","publicationURL":"https://arxiv.org/abs/2405.02163"},"citation:datasetContact":[{"citation:datasetContactName":"IceCube Collaboration","citation:datasetContactEmail":"analysis@icecube.wisc.edu"},{"citation:datasetContactName":"Shiqi Yu","citation:datasetContactAffiliation":"University of Utah","citation:datasetContactEmail":"shiqi.yu@utah.edu"}],"citation:keyword":[{"citation:keywordValue":"Neutrino oscillation"},{"citation:keywordValue":"convolutional neural network"}],"citation:dsDescription":{"citation:dsDescriptionValue":"Public data release from the IceCube collaboration for the result in arXiv:2405.02163 (\"Measurement of atmospheric neutrino oscillation parameters using convolutional neural networks with 9.3 years of data in IceCube DeepCore\"). This public dataset contains two \\DeltaLLH maps of the oscillation parameters assuming normal and inverted ordering separately. The absolute difference between the best-fit points in the two orderings has been removed from this release. The details can be found in the README.","citation:dsDescriptionDate":"2024-08-21"},"author":{"citation:authorName":"IceCube Collaboration"},"title":"Data release for neutrino oscillation parameters using convolutional neural networks with 9.3 years of data in IceCube DeepCore","subject":"Physics","citation:depositor":"Yu, Shiqi","dateOfDeposit":"2024-08-22","citation:productionDate":"2024-08-21","@id":"https://doi.org/10.7910/DVN/U20MMB","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"2.0","schema:name":"Data release for neutrino oscillation parameters using convolutional neural networks with 9.3 years of data in IceCube DeepCore","schema:dateModified":"2024-09-04 14:52:06.254","schema:datePublished":"2024-09-03","schema:creativeWorkStatus":"RELEASED","schema:license":"http://creativecommons.org/publicdomain/zero/1.0","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":true},"schema:includedInDataCatalog":"Harvard Dataverse","schema:isPartOf":{"schema:name":"Neutrino Properties","@id":"https://dataverse.harvard.edu/dataverse/ic_neutrino_properties","schema:description":"IceCube data release from analyses studying neutrino properties; neutrino oscillations, neutrino cross sections, etc.","schema:isPartOf":{"schema:name":"IceCube Neutrino Observatory","@id":"https://dataverse.harvard.edu/dataverse/icecube","schema:description":"Collection of data release from the IceCube Neutrino Observatory <a href=\"https://icecube.wisc.edu\"> https://icecube.wisc.edu</a>","schema:isPartOf":{"schema:name":"Harvard Dataverse","@id":"https://dataverse.harvard.edu/dataverse/harvard","schema:description":"<span><span><span><h3>Share, archive, and get credit for your data. Find and cite data across all research fields.</h3></span></span></span>"}}},"ore:aggregates":[{"schema:name":"README.txt","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":427161,"@id":"https://dataverse.harvard.edu/file.xhtml?fileId=10497185","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/10497185","@type":"ore:AggregatedResource","schema:fileFormat":"text/plain","dvcore:filesize":2015,"dvcore:storageIdentifier":"s3://dvn-cloud:191be601cf6-2369c6a95645","dvcore:rootDataFileId":10493659,"dvcore:previousDataFileId":10493659,"dvcore:checksum":{"@type":"MD5","@value":"62880680f4f3e2da4f9d61504335d818"}},{"schema:description":"this npy file contains the scanned grid points, the -2ΔLLH map, and the best-fit point assuming inverted ordering of neutrino masses","schema:name":"saved_io_delta_LLH_map.npy","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":427161,"@id":"https://dataverse.harvard.edu/file.xhtml?fileId=10490064","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/10490064","@type":"ore:AggregatedResource","schema:fileFormat":"application/octet-stream","dvcore:filesize":29568,"dvcore:storageIdentifier":"s3://dvn-cloud:191aeae81d6-0fd356b8568b","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"373016b52c3102e42cbd02d8a3b0e339"}},{"schema:description":"this npy file contains the scanned grid points, the -2ΔLLH map, and the best-fit point assuming normal ordering of neutrino masses","schema:name":"saved_no_delta_LLH_map.npy","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":427161,"@id":"https://dataverse.harvard.edu/file.xhtml?fileId=10490065","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/10490065","@type":"ore:AggregatedResource","schema:fileFormat":"application/octet-stream","dvcore:filesize":27696,"dvcore:storageIdentifier":"s3://dvn-cloud:191aeaed394-1d2bdc59b26e","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"c0c586b8ebc873ab97916248164ca42c"}},{"schema:name":"script.py","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":427161,"@id":"https://dataverse.harvard.edu/file.xhtml?fileId=10497184","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/10497184","@type":"ore:AggregatedResource","schema:fileFormat":"text/x-python-script","dvcore:filesize":613,"dvcore:storageIdentifier":"s3://dvn-cloud:191be5cb805-62a1718b3577","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"c2347a65f3921794c9e8bd8f728ef7bb"}}],"schema:hasPart":["https://dataverse.harvard.edu/file.xhtml?fileId=10497185","https://dataverse.harvard.edu/file.xhtml?fileId=10490064","https://dataverse.harvard.edu/file.xhtml?fileId=10490065","https://dataverse.harvard.edu/file.xhtml?fileId=10497184"]},"@context":{"author":"http://purl.org/dc/terms/creator","citation":"https://dataverse.org/schema/citation/","dateOfDeposit":"http://purl.org/dc/terms/dateSubmitted","dcterms":"http://purl.org/dc/terms/","dvcore":"https://dataverse.org/schema/core#","ore":"http://www.openarchives.org/ore/terms/","publication":"http://purl.org/dc/terms/isReferencedBy","publicationCitation":"http://purl.org/dc/terms/bibliographicCitation","publicationIDType":"http://purl.org/spar/datacite/ResourceIdentifierScheme","publicationURL":"https://schema.org/distribution","schema":"http://schema.org/","subject":"http://purl.org/dc/terms/subject","title":"http://purl.org/dc/terms/title"}}