{"dcterms:modified":"2026-01-05","dcterms:creator":"DataverseNO","@type":"ore:ResourceMap","schema:additionalType":"Dataverse OREMap Format v1.0.1","dvcore:generatedBy":{"@type":"schema:SoftwareApplication","schema:name":"Dataverse","schema:version":"6.6","schema:url":"https://github.com/iqss/dataverse"},"@id":"https://dataverse.no/api/datasets/export?exporter=OAI_ORE&persistentId=https://doi.org/10.18710/G6PJ5F","ore:describes":{"geospatial:geographicCoverage":[{"geospatial:country":"Germany","geospatial:state":"Bavaria","geospatial:city":"Bamberg"},{"geospatial:country":"United Kingdom","geospatial:city":"London"}],"title":"Clear vs. dark /l/ in German Learner English: Dataset for chapter 5 in \"Phonological variation in German Learner English\"","author":{"citation:authorName":"Sönning, Lukas","citation:authorAffiliation":"University of Bamberg","authorIdentifierScheme":"ORCID","authorIdentifier":"0000-0002-2705-395X"},"citation:datasetContact":{"citation:datasetContactName":"Sönning, Lukas","citation:datasetContactAffiliation":"University of Bamberg","citation:datasetContactEmail":"lukas.soenning@uni-bamberg.de"},"citation:dsDescription":{"citation:dsDescriptionValue":"This dataset contains tabular files with acoustic measurements for prevocalic and non-prevocalic laterals produced by n = 62 German learners of English and n = 26 native speakers of English (BrE and AmE). The German subjects are instructional-setting learners ranging from grade 5 (age: 11) to university. They are predominantly from northern Bavaria and represent a broad range of proficiency levels. Pronunciation ability was assessed with a foreign accent rating. The data were elicited with a word list and each subject produced n = 15 tokens (n = 10 in non-prevocalic position, n = 5 in prevocalic position). Measurements are reported for the first two formants (F1 and F2). See ReadMe file for more details. Related publication: Soenning, Lukas. 2020. Phonological variation in German Learner English. University of Bamberg dissertation. DOI: 10.20378/irb-49135 Open access: https://fis.uni-bamberg.de/handle/uniba/49135","citation:dsDescriptionDate":"2020-12-06"},"subject":"Arts and Humanities","citation:keyword":[{"citation:keywordValue":"L2 acquisition"},{"citation:keywordValue":"German learner English"},{"citation:keywordValue":"laterals"},{"citation:keywordValue":"clear and dark /l/"},{"citation:keywordValue":"British English"},{"citation:keywordValue":"American English"},{"citation:keywordValue":"English"},{"citation:keywordValue":"phonetics & phonology"},{"citation:keywordValue":"acoustic data"}],"publication":{"publicationCitation":"Soenning, Lukas. 2020. Phonological variation in German Learner English. University of Bamberg dissertation.","publicationIDType":"doi","publicationIDNumber":"10.20378/irb-49135","publicationURL":"https://doi.org/10.20378/irb-49135"},"language":"English","citation:producer":{"citation:producerName":"University of Bamberg","citation:producerURL":"https://www.uni-bamberg.de/en/"},"citation:distributor":{"citation:distributorName":"The Tromsø Repository of Language and Linguistics (TROLLing)","citation:distributorAbbreviation":"TROLLing","citation:distributorURL":"https://trolling.uit.no/"},"citation:depositor":"Sönning, Lukas","dateOfDeposit":"2020-12-06","timePeriodCovered":{"citation:timePeriodCoveredStart":"2014-04","citation:timePeriodCoveredEnd":"2014-08"},"citation:dateOfCollection":{"citation:dateOfCollectionStart":"2014-04","citation:dateOfCollectionEnd":"2014-08"},"kindOfData":["acoustic data","experimental data"],"software":{"citation:softwareName":"Praat","citation:softwareVersion":"5.3.68"},"@id":"https://doi.org/10.18710/G6PJ5F","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.1","schema:name":"Clear vs. dark /l/ in German Learner English: Dataset for chapter 5 in \"Phonological variation in German Learner English\"","schema:dateModified":"2026-01-05 11:30:52.201","schema:datePublished":"2021-02-01","schema:creativeWorkStatus":"RELEASED","schema:license":"http://creativecommons.org/licenses/by/4.0","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":true},"schema:includedInDataCatalog":"DataverseNO","schema:isPartOf":{"schema:name":"TROLLing","@id":"https://dataverse.no/dataverse/trolling","schema:description":"<strong><a href=\"https://site.uit.no/trolling/getting-started/\" title=\"Click here to get started with TROLLing\" target=\"_blank\">Getting started with TROLLing</a></strong>&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;<img src=\"https://www.ub.uit.no/dataverse/clarin.png\"  alt=\"Clarino\">","schema:isPartOf":{"schema:name":"DataverseNO","@id":"https://dataverse.no/dataverse/root"}},"ore:aggregates":[{"schema:name":"00_ReadMe_ch05_laterals.txt","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":3781,"@id":"doi:10.18710/G6PJ5F/YMQ5LJ","schema:sameAs":"https://dataverse.no/api/access/datafile/:persistentId?persistentId=doi:10.18710/G6PJ5F/YMQ5LJ","@type":"ore:AggregatedResource","schema:fileFormat":"text/plain","dvcore:filesize":12078,"dvcore:storageIdentifier":"S3://uit-dataverseno-prod01:1772be88f0f-ff67b97bd412","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"b76d7e15ee8d734261d6489125ce497a"}},{"schema:name":"laterals_data_learners.csv","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":3781,"@id":"doi:10.18710/G6PJ5F/EOF2HC","schema:sameAs":"https://dataverse.no/api/access/datafile/:persistentId?persistentId=doi:10.18710/G6PJ5F/EOF2HC&format=original","@type":"ore:AggregatedResource","schema:fileFormat":"text/csv","dvcore:filesize":86319,"dvcore:storageIdentifier":"S3://uit-dataverseno-prod01:17639da4b89-676bb659ee24","dvcore:currentIngestedName":"laterals_data_learners.tab","dvcore:UNF":"UNF:6:3HODV7Bmt/sfiYFZvPH5yA==","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"279c0c55aac43c1efe9ab43e325a2ec2"}},{"schema:name":"laterals_data_ns.csv","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":3781,"@id":"doi:10.18710/G6PJ5F/7FBDT8","schema:sameAs":"https://dataverse.no/api/access/datafile/:persistentId?persistentId=doi:10.18710/G6PJ5F/7FBDT8&format=original","@type":"ore:AggregatedResource","schema:fileFormat":"text/csv","dvcore:filesize":26006,"dvcore:storageIdentifier":"S3://uit-dataverseno-prod01:17639da4da4-5e7826bdec54","dvcore:currentIngestedName":"laterals_data_ns.tab","dvcore:UNF":"UNF:6:WljVQIDuO7FFCyl2rpF12A==","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"43353b4cc0fdcef3a4054dac9a83bde8"}},{"schema:name":"learner_biodata.csv","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":3781,"@id":"doi:10.18710/G6PJ5F/FTXMVX","schema:sameAs":"https://dataverse.no/api/access/datafile/:persistentId?persistentId=doi:10.18710/G6PJ5F/FTXMVX&format=original","@type":"ore:AggregatedResource","schema:fileFormat":"text/csv","dvcore:filesize":4167,"dvcore:storageIdentifier":"S3://uit-dataverseno-prod01:17639da8096-26744c4733f3","dvcore:currentIngestedName":"learner_biodata.tab","dvcore:UNF":"UNF:6:l/7iL9jRtp/o8G+/+EF3Lg==","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"7f4fb2f2c7bf93e1aa41fdc3f0bcf3c8"}},{"schema:name":"ns_biodata.csv","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":3781,"@id":"doi:10.18710/G6PJ5F/LHE8M8","schema:sameAs":"https://dataverse.no/api/access/datafile/:persistentId?persistentId=doi:10.18710/G6PJ5F/LHE8M8&format=original","@type":"ore:AggregatedResource","schema:fileFormat":"text/csv","dvcore:filesize":797,"dvcore:storageIdentifier":"S3://uit-dataverseno-prod01:17639da82a7-2ec3df527b53","dvcore:currentIngestedName":"ns_biodata.tab","dvcore:UNF":"UNF:6:2WnDPvyGYPKEh2QEejcM0g==","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"a1484b92d28c5359b49733c72f89a340"}}],"schema:hasPart":["doi:10.18710/G6PJ5F/YMQ5LJ","doi:10.18710/G6PJ5F/EOF2HC","doi:10.18710/G6PJ5F/7FBDT8","doi:10.18710/G6PJ5F/FTXMVX","doi:10.18710/G6PJ5F/LHE8M8"]},"@context":{"author":"http://purl.org/dc/terms/creator","authorIdentifier":"http://purl.org/spar/datacite/AgentIdentifier","authorIdentifierScheme":"http://purl.org/spar/datacite/AgentIdentifierScheme","citation":"https://dataverse.org/schema/citation/","content":"@value","dateOfDeposit":"http://purl.org/dc/terms/dateSubmitted","dcterms":"http://purl.org/dc/terms/","dvcore":"https://dataverse.org/schema/core#","geospatial":"https://dataverse.no/schema/geospatial#","kindOfData":"http://rdf-vocabulary.ddialliance.org/discovery#kindOfData","lang":"@language","language":"http://purl.org/dc/terms/language","ore":"http://www.openarchives.org/ore/terms/","personName":"https://schema.org/name","publication":"http://purl.org/dc/terms/isReferencedBy","publicationCitation":"http://purl.org/dc/terms/bibliographicCitation","publicationIDNumber":"http://purl.org/spar/datacite/ResourceIdentifier","publicationIDType":"http://purl.org/spar/datacite/ResourceIdentifierScheme","publicationURL":"https://schema.org/distribution","schema":"http://schema.org/","scheme":"http://www.w3.org/2004/02/skos/core#inScheme","software":"https://www.w3.org/TR/prov-o/#wasGeneratedBy","subject":"http://purl.org/dc/terms/subject","termName":"https://schema.org/name","timePeriodCovered":"https://schema.org/temporalCoverage","title":"http://purl.org/dc/terms/title"}}