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    \n
  1. Use limited to non-commercial academic research and education.\n
  2. No redistribution of raw data (in whole or in part) to any third party.\n
  3. No re-identification attempts and no participant contact.\n
  4. You may publish aggregated results/derivatives that do not disclose individual-level data.\n
  5. Cite the dataset DOI and the associated article in all outputs.\n
  6. Only named team members under the applicant’s supervision may access; the applicant ensures compliance.\n
  7. Store on secure, access-controlled systems; no public sync services without equivalent protections.\n
  8. Delete when the approved project ends or upon request by the depositor.\n
  9. Notify the depositor immediately of any suspected breach or incident.\n
  10. Requesting access indicates agreement to these terms and institutional oversight.\n
      ","fileAccessRequest":true,"metadataBlocks":{"citation":{"displayName":"Citation Metadata","name":"citation","fields":[{"typeName":"title","multiple":false,"typeClass":"primitive","value":"EEG and Self-Paced Reading of Natural, Dutch Texts (Towards a computational model of reading (TCMR))"},{"typeName":"alternativeTitle","multiple":true,"typeClass":"primitive","value":["Towards a computational model of reading (TCMR)"]},{"typeName":"alternativeURL","multiple":false,"typeClass":"primitive","value":"https://osf.io/jgdrw/"},{"typeName":"author","multiple":true,"typeClass":"compound","value":[{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Østergaard, Sara Møller"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"https://ror.org/04b8v1s79","expandedvalue":{"scheme":"http://www.grid.ac/ontology/","termName":"Tilburg University","@type":"https://schema.org/Organization"}},"authorIdentifierScheme":{"typeName":"authorIdentifierScheme","multiple":false,"typeClass":"controlledVocabulary","value":"ORCID"},"authorIdentifier":{"typeName":"authorIdentifier","multiple":false,"typeClass":"primitive","value":"0000-0002-0572-6391"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Lichtenberg, Lenneke"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"https://ror.org/04b8v1s79","expandedvalue":{"scheme":"http://www.grid.ac/ontology/","termName":"Tilburg University","@type":"https://schema.org/Organization"}}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Boon, Laura"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"https://ror.org/04b8v1s79","expandedvalue":{"scheme":"http://www.grid.ac/ontology/","termName":"Tilburg University","@type":"https://schema.org/Organization"}}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Nicenboim, Bruno"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"https://ror.org/04b8v1s79","expandedvalue":{"scheme":"http://www.grid.ac/ontology/","termName":"Tilburg University","@type":"https://schema.org/Organization"}},"authorIdentifierScheme":{"typeName":"authorIdentifierScheme","multiple":false,"typeClass":"controlledVocabulary","value":"ORCID"},"authorIdentifier":{"typeName":"authorIdentifier","multiple":false,"typeClass":"primitive","value":"0000-0002-5176-3943"}}]},{"typeName":"datasetContact","multiple":true,"typeClass":"compound","value":[{"datasetContactName":{"typeName":"datasetContactName","multiple":false,"typeClass":"primitive","value":"Østergaard, Sara"},"datasetContactAffiliation":{"typeName":"datasetContactAffiliation","multiple":false,"typeClass":"primitive","value":"Tilburg University"}},{"datasetContactName":{"typeName":"datasetContactName","multiple":false,"typeClass":"primitive","value":"Data curators Dataverse"},"datasetContactAffiliation":{"typeName":"datasetContactAffiliation","multiple":false,"typeClass":"primitive","value":"Tilburg University"}}]},{"typeName":"dsDescription","multiple":true,"typeClass":"compound","value":[{"dsDescriptionValue":{"typeName":"dsDescriptionValue","multiple":false,"typeClass":"primitive","value":"Electroencephalogram (EEG) data and reading times from a self-paced reading experiment using eight medium-length, natural Dutch texts. The data was recorded from 71 native Dutch speakers."},"dsDescriptionDate":{"typeName":"dsDescriptionDate","multiple":false,"typeClass":"primitive","value":"2024-12-11"}},{"dsDescriptionValue":{"typeName":"dsDescriptionValue","multiple":false,"typeClass":"primitive","value":"More information on the corpus can be found in the README.md file. To better navigate the repository, press \"Tree\" below."},"dsDescriptionDate":{"typeName":"dsDescriptionDate","multiple":false,"typeClass":"primitive","value":"2026-02-27"}}]},{"typeName":"subject","multiple":true,"typeClass":"controlledVocabulary","value":["Other"]},{"typeName":"keyword","multiple":true,"typeClass":"compound","value":[{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Cognitive Science"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Psycholinguistics"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Electroencephalogram (EEG)"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Self-Paced Reading (SPR)"}}]},{"typeName":"notesText","multiple":false,"typeClass":"primitive","value":"Production date: 15-05-2024 – 21-10-2024
      \nMethod: Data collected in an EEG experiment. The experiment was implemented in PsychoPy (see https://github.com/saraoe/natural-stories-dutch/tree/main/experiment) and the EEG data was recorded using BioSemi.
      \nUniverse: 71 healthy, adult participants (47 female, mean age 20.31) partook in the study. All participants were native Dutch speakers, had normal or corrected-to-normal vision, had never had any traumatic head injury, had not been diagnosed with dyslexia or any learning disability, and were right-handed.
      \nCountry / Nation: the Netherlands."},{"typeName":"language","multiple":true,"typeClass":"controlledVocabulary","value":["Dutch","English"]},{"typeName":"producer","multiple":true,"typeClass":"compound","value":[{"producerName":{"typeName":"producerName","multiple":false,"typeClass":"primitive","value":"Tilburg University"}}]},{"typeName":"productionDate","multiple":false,"typeClass":"primitive","value":"2024-10-21"},{"typeName":"productionPlace","multiple":true,"typeClass":"primitive","value":["the Netherlands"]},{"typeName":"grantNumber","multiple":true,"typeClass":"compound","value":[{"grantNumberAgency":{"typeName":"grantNumberAgency","multiple":false,"typeClass":"primitive","value":"NWO SSH Open Competition XS pilot - round 3"},"grantNumberValue":{"typeName":"grantNumberValue","multiple":false,"typeClass":"primitive","value":"406.XS.03.033"}}]},{"typeName":"distributor","multiple":true,"typeClass":"compound","value":[{"distributorName":{"typeName":"distributorName","multiple":false,"typeClass":"primitive","value":"DataverseNL"}}]},{"typeName":"depositor","multiple":false,"typeClass":"primitive","value":"Østergaard, Sara"},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2024-12-11"},{"typeName":"timePeriodCovered","multiple":true,"typeClass":"compound","value":[{"timePeriodCoveredStart":{"typeName":"timePeriodCoveredStart","multiple":false,"typeClass":"primitive","value":"2024-05-15"},"timePeriodCoveredEnd":{"typeName":"timePeriodCoveredEnd","multiple":false,"typeClass":"primitive","value":"2024-10-21"}}]},{"typeName":"dateOfCollection","multiple":true,"typeClass":"compound","value":[{"dateOfCollectionStart":{"typeName":"dateOfCollectionStart","multiple":false,"typeClass":"primitive","value":"2024-05-15"},"dateOfCollectionEnd":{"typeName":"dateOfCollectionEnd","multiple":false,"typeClass":"primitive","value":"2024-10-21"}}]},{"typeName":"kindOfData","multiple":true,"typeClass":"primitive","value":["EEG data recorded using Biosemi along with reading times (in a separate csv-file)."]},{"typeName":"software","multiple":true,"typeClass":"compound","value":[{"softwareName":{"typeName":"softwareName","multiple":false,"typeClass":"primitive","value":"Biosemi"}},{"softwareName":{"typeName":"softwareName","multiple":false,"typeClass":"primitive","value":"PsychoPy"},"softwareVersion":{"typeName":"softwareVersion","multiple":false,"typeClass":"primitive","value":"2022.2.5"}}]},{"typeName":"accessToSources","multiple":false,"typeClass":"primitive","value":"Data files
      \nRaw EEG
      \nThe EEG files are named “TCMR_EEG_.bdf”.

      \nBehavioral data
      \nTwo csv-files and one json-file was obtained for every participant. These files are named as following:\n
        \n
      • “TCMR_rt__.csv”, \n
      • “TCMR_responses__.csv”, \n
      • and “TCMR_participant_info_.json”\n
      \nwhere TCMR_rt_.csv contains the reading times, TCMR_responses_.csv contains the responses of text questions (i.e., familiarity and comprehension), and TCMR_participant_info_.json contains the demographic and language ability questions.\n

      \nSupplemental material
      \nConsent form and information letter
      \n(Empty) consent form, information letter (read before signing consent form and beginning the experiment), and debrief letter (read after ended experiment).\n

      \nExperimental texts
      \nThe 8 experimental texts and 2 practice texts used in the study along with an excel file containing information on the texts.\n

      \nQuestionnaire and questions
      \nQuestions (demographics and language abilities) from the questionnaire in the beginning of the experiment, familiarity questions, and comprehension questions. \n

      \nCode book
      \nCode book with description of the EEG triggers.\n

      \nPreprocessed Data
      \nData for reproducing analysis. The folder contains three csv-files:\n
        \n
      • “mean_amplitude.csv”, with the mean amplitude in the N400 and P600 time windows (for selected channels).\n
      • “rt_eeg_triggers.csv”, with the reading times extracted as the time between EEG triggers.\n
      • “erp_lp.csv”, with the ERPs over all participants for words that are < 25% quantile for log-probabilities (low_lp), < 75% quantile (high_lp), and between the 25%-75% quantile (med_lp).\n
      \nStructure data package
      \nThe EEG data and behavioral data files are connected by the participant number as indicated by the title."}]},"dansDataVaultMetadata":{"displayName":"Data Vault Metadata","name":"dansDataVaultMetadata","fields":[{"typeName":"dansDataversePid","multiple":false,"typeClass":"primitive","value":"doi:10.34894/0O5XQ7"},{"typeName":"dansDataversePidVersion","multiple":false,"typeClass":"primitive","value":"1.0"},{"typeName":"dansBagId","multiple":false,"typeClass":"primitive","value":"urn:uuid:a3a23e47-349b-49e5-bf4a-746014e28b05"},{"typeName":"dansNbn","multiple":false,"typeClass":"primitive","value":"urn:nbn:nl:ui:13-469eaec7-0d0b-4a2f-bbb5-d84517f5e80b"}]}},"files":[{"label":"aspasia.txt","restricted":false,"directoryLabel":"Supplemental material/Experimental texts","version":1,"datasetVersionId":29989,"dataFile":{"id":462981,"persistentId":"","filename":"aspasia.txt","contentType":"text/plain","friendlyType":"Plain 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