Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
10
datasets available to search
ShareScore release 0.9.0
Dataset results
10 results for “sociolinguistics”
Supplementary data for the article Linguistic system and sociolinguistic environment as competing factors in linguistic variation: A typological approach
<p>This material contains the dataset and the R-scripts from the <a href="https://version.helsinki.fi/gramadapt/linguistic-system-and-sociolinguistic-environment">gitlab repository</a> of the following article. Please cite the article when using the data.</p> <p>Sinnemäki, Kaius 2020. Linguistic system and sociolinguistic environment as competing factors in linguistic variation: A typological approach. <em>Journal of Historical Sociolinguistics</em> 6(2): 20190101. <a href="https://doi.org/10.1515/jhsl-2019-1010">https://doi.org/10.1515/jhsl-2019-1010</a></p>
CLDF dataset derived from Backstrom and Radloff's "Sociolinguistic Survey of Northern Pakistan" from 1992
<p>Cite the source of the dataset as:</p> <blockquote> <p>Backstrom, Peter C. and Radloff, Carla F. (1992): Sociolinguistic Survey of Northern Pakistan, Volume 2. Languages of Northern Areas. Islamabad: National Institute of Pakistan Studies.</p> </blockquote>
CLDF dataset derived from Bremer's "Sociolinguistic Survey of Six Berta Speech Varieties in Ethiopia" from 2016
<p>Cite the source of the dataset as:</p> <blockquote> <p>Bremer, Nate D. (2016): A Sociolinguistic Survey of Six Berta Speech Varieties in Ethiopia. SIL Electronic Survey Reports 2016-007. Dallas: SIL International.</p> </blockquote>
Verbal and nominal complexity and sociolinguistic environment
<p>This material contains the dataset from the <a href="https://version.helsinki.fi/hals/sinnemaki/sinnemaki-digarbo2018">gitlab repository</a> of the following article. Please cite the article when using the data.</p> <p>Sinnemäki, Kaius and Francesca Di Garbo. 2018. Language structures may adapt to the sociolinguistic environment, but it matters what and how you count: A typological study of verbal and nominal complexity. <em>Frontiers in Psychology</em> 9: 1141.</p>
Computational Sociolinguistics: An Emerging Multidisciplinary Research Area
<p>A TXT consisting in the keywords used for the 62 searches carried out in the Web of Science (WoS) database in order to look for academic publications related to Computational Sociolinguistics.</p> <p> </p> <p>A CSV and a XLSX with the same information: the corpus of unique publications (i.e., 3,454) obtained from the searches conducted in WoS using the queries from the TXT file. They include two additional columns at the end: 'Article Title_clean' and 'Abstract_clean'. They are the normalised titles and abstracts of the publications; they are ready for further analysis on the values of these columns.</p>
Summary data to support Hall (2019), '(e) in Normandy: The sociolinguistics, phonology and phonetics of the "Loi de Position"'
<p>Article abstract:</p> <p>This article uses the pronunciation of stressed Intonational Phrase-final /ε/ and /e/ in two communities in Normandy, France, to illustrate the convergence of two sociolinguistic processes on the same phonological result: increasing application of the <em>Loi de Position</em>. In both communities (one rural and further from Paris, one urban and closer to Paris), there is now no consistent community-wide phonetic distinction between the two phonemes in that environment. It is suggested that the <em>Loi de Position</em> is already widely applied in the rural site, but speakers are still conscious of the formal norm whereby it is not applied; for the urban site, apparent-time changes for this variable reflect changes in Parisian speech. The theoretical implications of the study concerning speakers’ organisation of their vowel-space, and concerning the increasing application of the <em>Loi de Position</em> in the French of France, are examined. These conclusions are reached by per-speaker analysis of F1 and F2 separately from each other (rare in French linguistics). As a measure of community cohesion, the article introduces to linguistics the coefficient of variation (more common in biology and medicine).</p>
CLDF dataset derived from Abraham et al.'s "Sociolinguistic Research on Monpa" from 2018
<p>Cite the source of the dataset as:</p> <blockquote> <p>Abraham, Binny, Kara Sako, Elina Kinny, and Isapdaile Zeliang (2018): Sociolinguistic Research among Selected Groups in Western Arunachal Pradesh: Highlighting Monpa. Dallas: SIL International.</p> </blockquote>
THE SUMMАRY OF THE WILLIАM LАBOV'S STUDIES IN SOCIOLINGUISTICS.
Open the record for dataset details and reuse information.
Supplementary Materials for article entitled 'Sociolinguistic Monitoring and L2 Speakers of English', published in Linguistics
<p>see the publication for details</p>
A Sociolinguistic-enabled Web Application to Develop Precision Health Intervention for African Americans
ClinicalTrials.gov study NCT04705363. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.