sub:assertion {
<
http://eurovoc.europa.eu/2919> <
http://schema.org/description> "" ;
<
http://schema.org/name> "Environmental research" ;
a <
http://schema.org/DefinedTerm> .
<
http://eurovoc.europa.eu/3941> <
http://schema.org/description> "" ;
<
http://schema.org/name> "Life sciences" ;
a <
http://schema.org/DefinedTerm> .
<
http://eurovoc.europa.eu/3946> <
http://schema.org/description> "" ;
<
http://schema.org/name> "Physical sciences" ;
a <
http://schema.org/DefinedTerm> .
<
http://eurovoc.europa.eu/4921> <
http://schema.org/description> "" ;
<
http://schema.org/name> "Biology" ;
a <
http://schema.org/DefinedTerm> .
<
http://eurovoc.europa.eu/5881> <
http://schema.org/description> "" ;
<
http://schema.org/name> "Medical science" ;
a <
http://schema.org/DefinedTerm> .
<
https://w3id.org/ro-id/2bea96a2-5153-4937-9a34-78fbd6967d40/#enrichment_service-account-enrichment> <
http://schema.org/name> "service-account-enrichment" ;
a <
http://xmlns.com/foaf/0.1/Agent> .
<
https://w3id.org/ro-id/2bea96a2-5153-4937-9a34-78fbd6967d40/> <
http://schema.org/about> <
http://eurovoc.europa.eu/2919> , <
http://eurovoc.europa.eu/3941> , <
http://eurovoc.europa.eu/3946> , <
http://eurovoc.europa.eu/4921> , <
http://eurovoc.europa.eu/5881> ;
<
http://schema.org/author> <
mailto:lonneke.scheffer@rohub.com> ;
<
http://schema.org/contentSize> 7415 ;
<
http://schema.org/contentUrl> "https://api.rohub.org/api/ros/2bea96a2-5153-4937-9a34-78fbd6967d40/crate/download/" ;
<
http://schema.org/creator> <
mailto:georgehadib@gmail.com> ;
<
http://schema.org/dateCreated> "2022-03-22 02:26:21.920830+00:00" ;
<
http://schema.org/dateModified> "2025-03-05 00:55:10.595084+00:00" ;
<
http://schema.org/datePublished> "2022-03-22 02:26:21.920830+00:00" ;
<
http://schema.org/description> """This dataset contains the original specification files and complete results for immuneML use case 3: Benchmarking machine learning methods for AIRR classification on ground-truth synthetic data.
To use the dataset you should follow the guidelines in the README.txt file contained within the dataset.""" ;
<
http://schema.org/encodingFormat> "application/ld+json" ;
<
http://schema.org/hasPart> <
https://w3id.org/ro-id/2bea96a2-5153-4937-9a34-78fbd6967d40/folders/5428e9db-a593-4fae-8506-bfb6b977ae8f> , <
https://w3id.org/ro-id/2bea96a2-5153-4937-9a34-78fbd6967d40/folders/7444e5b0-d102-443e-bc75-5199e9526c20> , <
https://w3id.org/ro-id/2bea96a2-5153-4937-9a34-78fbd6967d40/folders/b10d767d-8b59-4bf9-9132-4235abb32b69> , <
https://w3id.org/ro-id/2bea96a2-5153-4937-9a34-78fbd6967d40/folders/ddcd249b-9c74-487a-9ca0-3062dcacf6f4> ;
<
http://schema.org/identifier> "https://w3id.org/ro-id/2bea96a2-5153-4937-9a34-78fbd6967d40" ;
<
http://schema.org/license> <
https://choosealicense.com/no-permission/> ;
<
http://schema.org/name> "immuneML use case 3: Benchmarking ML methods for AIRR classification on ground-truth synthetic data." ;
<
http://w3id.org/ro-id/rohub/model#creation_mode> "MANUAL" ;
<
http://w3id.org/ro/earth-science#Concept> "classification" , "dataset" , "file" , "guideline" , "information" , "machine learning" ;
<
http://w3id.org/ro/earth-science#FieldOfResearch> "earth sciences" ;
<
http://w3id.org/ro/earth-science#IPTC> "IT-computer sciences" ;
<
http://w3id.org/ro/earth-science#Lemma> "Benchmarking" , "data" , "dataset" , "file" , "ground truth" , "machine learning" , "use case" ;
<
http://w3id.org/ro/earth-science#NASA> "geosciences" ;
<
http://w3id.org/ro/earth-science#Phrase> "ML method" , "immuneML use case 3" , "machine learning method" , "specification file" , "synthetic data" ;
<
http://w3id.org/ro/earth-science#Sentence> "This dataset contains the original specification files and complete results for immuneML use case 3: Benchmarking machine learning methods for AIRR classification on ground-truth synthetic data." , "To use the dataset you should follow the guidelines in the README.txt file contained within the dataset." , "immuneML use case 3: Benchmarking ML methods for AIRR classification on ground-truth synthetic data." ;
a <
http://purl.org/wf4ever/ro#ResearchObject> , <
http://purl.org/wf4ever/roevo#LiveRO> , <
http://schema.org/Dataset> , <
http://w3id.org/ro/earth-science#DataResearchObject> , <
https://w3id.org/ro/terms/earth-science#DataResearchObject> ;
<
https://w3id.org/contentdesc#Domain> "computer science" ;
<
https://www.w3.org/ns/iana/link-relations/relation#cite-as> "Lonneke Scheffer. \"immuneML use case 3: Benchmarking ML methods for AIRR classification on ground-truth synthetic data..\" ROHub. Mar 22 ,2022. https://w3id.org/ro-id/2bea96a2-5153-4937-9a34-78fbd6967d40." .
<
https://w3id.org/ro-id/2bea96a2-5153-4937-9a34-78fbd6967d40/folders/5428e9db-a593-4fae-8506-bfb6b977ae8f> <
http://schema.org/name> "raw data" ;
a <
http://purl.org/wf4ever/wf4ever#Folder> , <
http://schema.org/Dataset> .
<
https://w3id.org/ro-id/2bea96a2-5153-4937-9a34-78fbd6967d40/folders/7444e5b0-d102-443e-bc75-5199e9526c20> <
http://schema.org/name> "biblio" ;
a <
http://purl.org/wf4ever/wf4ever#Folder> , <
http://schema.org/Dataset> .
<
https://w3id.org/ro-id/2bea96a2-5153-4937-9a34-78fbd6967d40/folders/b10d767d-8b59-4bf9-9132-4235abb32b69> <
http://schema.org/name> "metadata" ;
a <
http://purl.org/wf4ever/wf4ever#Folder> , <
http://schema.org/Dataset> .
<
https://w3id.org/ro-id/2bea96a2-5153-4937-9a34-78fbd6967d40/folders/ddcd249b-9c74-487a-9ca0-3062dcacf6f4> <
http://schema.org/hasPart> <
https://w3id.org/ro-id/2bea96a2-5153-4937-9a34-78fbd6967d40/resources/361a6bc2-67b4-4f20-87ae-4a5a4f90ba9e> ;
<
http://schema.org/name> "data" ;
a <
http://purl.org/wf4ever/wf4ever#Folder> , <
http://schema.org/Dataset> .
<
https://w3id.org/ro-id/2bea96a2-5153-4937-9a34-78fbd6967d40/resources/361a6bc2-67b4-4f20-87ae-4a5a4f90ba9e>
dct:bibliographicCitation "Scheffer, L. (2021).immuneML use case 3: Benchmarking ML methods for AIRR classification on ground-truth synthetic data. [Data set]. Norstore. https://doi.org/10.11582/2021.00005" ;
dct:rightsHolder "Lonneke Scheffer" ;
dct:type "Simulation" ;
<
http://schema.org/author> <
mailto:georgehadib@gmail.com> ;
<
http://schema.org/contentUrl> "https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00005" ;
<
http://schema.org/creator> <
mailto:georgehadib@gmail.com> ;
<
http://schema.org/dateCreated> "2021-02-08 00:00:00" ;
<
http://schema.org/dateModified> "2022-03-22 02:26:39.884078+00:00" ;
<
http://schema.org/description> """This dataset contains the original specification files and complete results for immuneML use case 3: Benchmarking machine learning methods for AIRR classification on ground-truth synthetic data.
To use the dataset you should follow the guidelines in the README.txt file contained within the dataset.""" ;
<
http://schema.org/license> <
https://choosealicense.com/no-permission/> ;
<
http://schema.org/name> "immuneML use case 3: Benchmarking ML methods for AIRR classification on ground-truth synthetic data." ;
<
http://schema.org/sdDatePublished> "2021-02-08 00:00:00" ;
a <
http://purl.org/wf4ever/wf4ever#Dataset> , <
http://purl.org/wf4ever/wf4ever#Resource> , <
http://schema.org/MediaObject> ;
<
https://schema.org/maintainer> "Lonneke Scheffer" .
<
https://w3id.org/ro-id/2bea96a2-5153-4937-9a34-78fbd6967d40/ro-crate-metadata.json>
dct:conformsTo <
https://w3id.org/ro/crate/1.1> ;
<
http://schema.org/about> <
https://w3id.org/ro-id/2bea96a2-5153-4937-9a34-78fbd6967d40/> ;
a <
http://schema.org/CreativeWork> .
<
mailto:georgehadib@gmail.com> <
http://schema.org/name> "Geo H." ;
a <
http://xmlns.com/foaf/0.1/Agent> .
<
mailto:lonneke.scheffer@rohub.com> <
http://schema.org/email> "lonneke.scheffer@rohub.com" ;
<
http://schema.org/name> "Lonneke Scheffer" ;
a <
http://xmlns.com/foaf/0.1/Agent> .
}