@prefix this: <https://w3id.org/np/RAt2mrHi6Aj0nfj-y2UAXjVyeKLLIowEWP8LSgNKN73Hk> .
@prefix sub: <https://w3id.org/np/RAt2mrHi6Aj0nfj-y2UAXjVyeKLLIowEWP8LSgNKN73Hk/> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix npx: <http://purl.org/nanopub/x/> .

sub:Head {
  this: np:hasAssertion sub:assertion;
    np:hasProvenance sub:provenance;
    np:hasPublicationInfo sub:pubinfo;
    a np:Nanopublication .
}

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> .
  
  <http://w3id.org/ro-id/rohub/model#subject/-1738623640> a <https://w3id.org/contentdesc#Expression>;
    <http://www.w3.org/2004/02/skos/core#prefLabel> "receptor data" .
  
  <http://w3id.org/ro-id/rohub/model#subject/-2037710156> a <https://w3id.org/contentdesc#Expression>;
    <http://www.w3.org/2004/02/skos/core#prefLabel> "specification file" .
  
  <http://w3id.org/ro-id/rohub/model#subject/100082784> a <https://w3id.org/contentdesc#Concept>;
    <http://www.w3.org/2004/02/skos/core#prefLabel> "file" .
  
  <http://w3id.org/ro-id/rohub/model#subject/100103568> a <https://w3id.org/contentdesc#Concept>;
    <http://www.w3.org/2004/02/skos/core#prefLabel> "antigen" .
  
  <http://w3id.org/ro-id/rohub/model#subject/100188603> a <https://w3id.org/contentdesc#Concept>;
    <http://www.w3.org/2004/02/skos/core#prefLabel> "fact" .
  
  <http://w3id.org/ro-id/rohub/model#subject/100219351> a <https://w3id.org/contentdesc#Concept>;
    <http://www.w3.org/2004/02/skos/core#prefLabel> "input/output" .
  
  <http://w3id.org/ro-id/rohub/model#subject/101172315> a <https://w3id.org/contentdesc#Concept>;
    <http://www.w3.org/2004/02/skos/core#prefLabel> "dataset" .
  
  <http://w3id.org/ro-id/rohub/model#subject/1096127751> a <https://w3id.org/contentdesc#Expression>;
    <http://www.w3.org/2004/02/skos/core#prefLabel> "antigen specificity" .
  
  <http://w3id.org/ro-id/rohub/model#subject/112303> a <https://w3id.org/contentdesc#Concept>;
    <http://www.w3.org/2004/02/skos/core#prefLabel> "guideline" .
  
  <http://w3id.org/ro-id/rohub/model#subject/151978> a <https://w3id.org/contentdesc#Concept>;
    <http://www.w3.org/2004/02/skos/core#prefLabel> "receptor" .
  
  <http://w3id.org/ro-id/rohub/model#subject/23148> a <https://w3id.org/contentdesc#Concept>;
    <http://www.w3.org/2004/02/skos/core#prefLabel> "specificity" .
  
  <http://w3id.org/ro-id/rohub/model#subject/25424641> a <https://w3id.org/contentdesc#Expression>;
    <http://www.w3.org/2004/02/skos/core#prefLabel> "input/output output file" .
  
  <http://w3id.org/ro-id/rohub/model#subject/27329> a <https://w3id.org/contentdesc#Concept>;
    <http://www.w3.org/2004/02/skos/core#prefLabel> "learning" .
  
  <http://w3id.org/ro-id/rohub/model#subject/29993> a <https://w3id.org/contentdesc#Concept>;
    <http://www.w3.org/2004/02/skos/core#prefLabel> "output file" .
  
  <http://w3id.org/ro-id/rohub/model#subject/38959> a <https://w3id.org/contentdesc#Concept>;
    <http://www.w3.org/2004/02/skos/core#prefLabel> "information" .
  
  <http://w3id.org/ro-id/rohub/model#subject/525507811> a <https://w3id.org/contentdesc#Expression>;
    <http://www.w3.org/2004/02/skos/core#prefLabel> "immuneML use case 2" .
  
  <https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/#enrichment_service-account-enrichment>
    <http://schema.org/name> "service-account-enrichment";
    a <http://xmlns.com/foaf/0.1/Agent> .
  
  <https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/> <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:milena.pavlovic@rohub.com>;
    <http://schema.org/contentSize> "8013"^^xsd:integer;
    <http://schema.org/contentUrl> "https://api.rohub.org/api/ros/dfece22d-4a22-4a58-81e6-b42fd4c66728/crate/download/";
    <http://schema.org/creator> <mailto:georgehadib@gmail.com>;
    <http://schema.org/dateCreated> "2022-03-22 00:43:20.656579+00:00";
    <http://schema.org/dateModified> "2025-03-05 00:53:54.291837+00:00";
    <http://schema.org/datePublished> "2022-03-22 00:43:20.656579+00:00";
    <http://schema.org/description> """This dataset contains the data, original specification files, GLIPH2 input/output files and complete results for immuneML use case 2: Extending immuneML with a deep learning component for predicting antigen specificity of paired receptor 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/dfece22d-4a22-4a58-81e6-b42fd4c66728/folders/05f41eeb-d90d-4b47-8040-ae99faf39d37>,
      <https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/folders/3aa4923f-0e70-4e30-b7cb-2de60edca2b8>,
      <https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/folders/c934858e-0f6d-430b-8150-9091979f6fa7>,
      <https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/folders/f77dcef7-0664-4d66-848a-963c1f71223c>;
    <http://schema.org/identifier> "https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728";
    <http://schema.org/license> <https://choosealicense.com/no-permission/>;
    <http://schema.org/name> "immuneML use case 2: Extending immuneML with a deep learning component for predicting antigen specificity of paired receptor data";
    <http://w3id.org/ro-id/rohub/model#creation_mode> "MANUAL";
    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://www.w3.org/ns/iana/link-relations/relation#cite-as> "Milena Pavlović. \"immuneML use case 2: Extending immuneML with a deep learning component for predicting antigen specificity of paired receptor data.\" ROHub. Mar 22 ,2022. https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728." .
  
  <https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/folders/05f41eeb-d90d-4b47-8040-ae99faf39d37>
    <http://schema.org/name> "metadata";
    a <http://purl.org/wf4ever/wf4ever#Folder>, <http://schema.org/Dataset> .
  
  <https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/folders/3aa4923f-0e70-4e30-b7cb-2de60edca2b8>
    <http://schema.org/name> "raw data";
    a <http://purl.org/wf4ever/wf4ever#Folder>, <http://schema.org/Dataset> .
  
  <https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/folders/c934858e-0f6d-430b-8150-9091979f6fa7>
    <http://schema.org/hasPart> <https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/resources/41202609-24ef-4db7-8267-0bf627613c28>;
    <http://schema.org/name> "data";
    a <http://purl.org/wf4ever/wf4ever#Folder>, <http://schema.org/Dataset> .
  
  <https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/folders/f77dcef7-0664-4d66-848a-963c1f71223c>
    <http://schema.org/name> "biblio";
    a <http://purl.org/wf4ever/wf4ever#Folder>, <http://schema.org/Dataset> .
  
  <https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/resources/41202609-24ef-4db7-8267-0bf627613c28>
    dct:bibliographicCitation "Pavlović, M. (2021).immuneML use case 2: Extending immuneML with a deep learning component for predicting antigen specificity of paired receptor data [Data set]. Norstore. https://doi.org/10.11582/2021.00009";
    dct:rightsHolder "Lonneke Scheffer";
    dct:type "Experiment";
    <http://schema.org/author> <mailto:georgehadib@gmail.com>;
    <http://schema.org/contentUrl> "https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00009";
    <http://schema.org/creator> <mailto:georgehadib@gmail.com>;
    <http://schema.org/dateCreated> "2021-02-16 00:00:00";
    <http://schema.org/dateModified> "2022-03-22 00:43:31.859965+00:00";
    <http://schema.org/description> """This dataset contains the data, original specification files, GLIPH2 input/output files and complete results for immuneML use case 2: Extending immuneML with a deep learning component for predicting antigen specificity of paired receptor 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 2: Extending immuneML with a deep learning component for predicting antigen specificity of paired receptor data";
    <http://schema.org/sdDatePublished> "2021-02-16 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/dfece22d-4a22-4a58-81e6-b42fd4c66728/ro-crate-metadata.json>
    dct:conformsTo <https://w3id.org/ro/crate/1.1>;
    <http://schema.org/about> <https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/>;
    a <http://schema.org/CreativeWork> .
  
  <mailto:georgehadib@gmail.com> <http://schema.org/name> "Geo H.";
    a <http://xmlns.com/foaf/0.1/Agent> .
  
  <mailto:milena.pavlovic@rohub.com> <http://schema.org/email> "milena.pavlovic@rohub.com";
    <http://schema.org/name> "Milena Pavlović";
    a <http://xmlns.com/foaf/0.1/Agent> .
}

sub:provenance {
  sub:assertion prov:wasDerivedFrom <https://api.rohub.org/api/ros/dfece22d-4a22-4a58-81e6-b42fd4c66728/crate/download/ro-crate-metadata.json> .
}

sub:pubinfo {
  this: dct:created "2026-03-03T16:18:40.724+01:00"^^xsd:dateTime;
    dct:creator <https://w3id.org/kpxl/gen/terms/RoCrateBot>;
    npx:introduces <https://w3id.org/ro-id/dfece22d-4a22-4a58-81e6-b42fd4c66728/>;
    a npx:RoCrateNanopub;
    rdfs:label "immuneML use case 2: Extending immuneML with a deep learning component for predicting antigen specificity of paired receptor data" .
  
  sub:sig npx:hasAlgorithm "RSA";
    npx:hasPublicKey "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB";
    npx:hasSignature "kSXndgK6Uq45FKcLtxJV8cH/DHxSwzs85GFeb0w9Tauxb+22yOQolnyXDx+0+9zmBXzZqqgdHa4P0q4CKJIklb5Qv8xqoh0jLf+0gk8fj79VjAWCvXX+nGN2Oqll/YbsCRRnOAkqtPSYO8khTN5rv4schnStYLdPiDt/uqWA9Z4p8S/ZTa7+xwBGzLiu9OYYNDRDzwNDONbc17EgUYhrHh0ARiU4WKMWpiQ4fsyMvdH3WhpQcRmQYQYpwpDKXfIfJ0iOhTEao9a3wNMoKFUgBom2NW/SfOVNdmuSLuzdvg/BxvYuInmcrZsMUG8oIKRmxiSCcI5f86K2vHRELdq/MQ==";
    npx:hasSignatureTarget this:;
    npx:signedBy <https://w3id.org/kpxl/gen/terms/RoCrateBot> .
}