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.
11
datasets available to search
ShareScore release 0.9.0
Dataset results
11 results for “language evolution”
Phlorest phylogeny derived from Lee & Hasegawa 2013 'Evolution of the Ainu Language in Space and Time'
<p>Cite the source of the dataset as:</p> <blockquote> <p>Lee S, Hasegawa T (2013) Evolution of the Ainu Language in Space and Time. PLoS ONE 8(4): e62243. doi: 10.1371/journal.pone.0062243</p> </blockquote>
CLDF dataset reflecting Zariquiey, Blum et al.'s "Tracing the Evolution of Panoan Languages in Parallel with Archaeological Changes in the Ucayali Basin", work in progress.
<p>Cite the source of the dataset as:</p> <blockquote> <p>Zariquiey, Roberto and Blum, Frederic and Valenzuela, Pilar and Koile, Ezequiel and Blasi, Damian and Gray, Russell and List, Johann-Mattis. "Tracing the Evolution of Panoan Languages in Parallel with Archaeological Changes in the Ucayali Basin" (work in progress).</p> </blockquote>
CLDF dataset derived from Lee and Hasegawa's "Evolution of the Ainu Language in Space and Time" from 2013
<p>Cite the source of the dataset as:</p> <blockquote> <p>Lee Sean, Hasegawa Toshikazu (2013). Evolution of the Ainu Language in Space and Time. PLOS ONE 8(4): e62243. https://doi.org/10.1371/journal.pone.0062243</p> </blockquote>
CLDF dataset derived from Wheeler and Whiteley's "Evolution of Uto-Aztecan Languages" from 2014
<p>Cite the source of the dataset as:</p> <blockquote> <p>Wheeler, W. C., & Whiteley, P. M. (2014). Historical linguistics as a sequence optimization problem: the evolution and biogeography of Uto-Aztecan languages. Cladistics, 31(2), 113–125. doi:10.1111/cla.12078</p> </blockquote>
Appendix B in R. Turunen (2021). Shades of Red: Evolution of the Political Language of Finnish Socialism from the Nineteenth Century until the Civil War of 1918. The Finnish Society for Labour History.
<p>This is Appendix B in R. Turunen (2021). <em>Shades of Red: Evolution of the Political Language of Finnish Socialism from the Nineteenth Century until the Civil War of 1918</em>. The Finnish Society for Labour History. The XLSX file contains words that appear more frequently than statistically expected in the socialist newspapers compared to the non-socialist newspapers. Keyness value was calculated using the log-likelihood (4-term) test. The dataset of socialist newspapers consists of the following lemmatized raw text files:<strong> </strong><em>Työmies</em> 1895–1917, <em>Kansan Lehti</em> 1898–1917, <em>Vapaa Sana</em> 1906–1917 and <em>Savon Työmies</em> 1906–1910. The dataset of non-socialist newspapers consists of the following lemmatized raw text files: <em>Uusi Suometar</em> 1895–1917, <em>Päivälehti </em>/ <em>Helsingin Sanomat</em> 1895–1917, <em>Aamulehti</em> 1895–1917, <em>Tampereen Sanomat</em> 1904–1917, <em>Pohjan Poika</em> 1906–1909, <em>Pohjanmaa</em> 1909–1912, <em>Pohjalainen</em> 1911–1915, <em>Savotar </em>1906–1910 and <em>Otava </em>1904–1909. Available from https://digi.kansalliskirjasto.fi/opendata. The analysis is described more carefully in R. Turunen (2021). <em>Shades of Red: Evolution of the Political Language of Finnish Socialism from the Nineteenth Century until the Civil War of 1918. </em>The Finnish Society for Labour History.</p>
Handwritten newspapers used in Turunen, R. (2021). Shades of Red: Evolution of the Political Language of Finnish Socialism from the Nineteenth Century until the Civil War of 1918
<p>This dataset contains XLSX files of five different handwritten newspapers: <em>Kuritus </em>(1909–1911), <em>Palveliatar</em> (1907–1913, 1917), <em>Yritys</em> (1915–1917), <em>Tehtaalainen</em> (1908–1914, 1917) and <em>Nuija </em>(1899–1903, 1907–1909, 1912, 1914–1915).</p> <p>The original sources and the coding scheme for the XLSX files are described in:</p> <p>Turunen, R. (2021). <em>Shades of Red: Evolution of the Political Language of Finnish Socialism from the Nineteenth Century until the Civil War of 1918</em>. The Finnish Society for Labour History.</p>
Dataset for the paper "Universal attractors in language evolution provide evidence for the kinds of efficiency pressures involved"
<p>CORRECTED Dataset for the paper "Universal attractors in language evolution provide evidence for the kinds of efficiency pressures involved"</p>
Data for "Learning the language of viral evolution and escape"
<p>Training data from:</p> <ul> <li>Influenza A HA protein sequences from the NIAID Influenza Research Database (IRD) (<a href="http://www.fludb.org">http://www.fludb.org</a>)</li> <li>HIV-1 Env protein sequences from the Los Alamos National Laboratory (LANL) HIV database (<a href="https://www.hiv.lanl.gov">https://www.hiv.lanl.gov</a>)</li> <li><em>Coronavidae</em> spike protein sequences from the Virus Pathogen Resource (ViPR) database (<a href="https://www.viprbrc.org/brc/home.spg?decorator=corona">https://www.viprbrc.org/brc/home.spg?decorator=corona</a>)</li> <li>SARS-CoV-2 Spike protein sequences from NCBI Virus (<a href="https://www.ncbi.nlm.nih.gov/labs/virus/vssi/">https://www.ncbi.nlm.nih.gov/labs/virus/vssi/</a>)</li> <li>SARS-CoV-2 Spike and other Betacoronavirus spike protein sequences from GISAID (<a href="https://www.gisaid.org/">https://www.gisaid.org/</a>)</li> </ul> <p>Datasets for fitness and escape validation:</p> <ul> <li>Fitness single-residue DMS of HA H1 WSN33 from Doud and Bloom (2016)</li> <li>Fitness combinatorial DMS of antigenic site B in six HA H3 strains from Wu et al. (2020)</li> <li>Fitness single-residue DMS of Env BF520 and BG505 from Haddox et al. (2018)</li> <li>ACE2 binding affinity combinatorial DMS of Spike from Starr et al. (2020)</li> <li>Escape single-residue DMS of HA H1 WSN33 from Doud et al. (2018)</li> <li>Escape single-residue DMS of HA H3 Perth09 from Lee et al. (2019)</li> <li>Escape single-residue DMS of Env BG505 from Dingens et al. (2019)</li> <li>Escape mutations of Spike from Baum et al. (2020)</li> <li>Escape single-residue DMS of Spike from Greaney et al. (2020)</li> </ul>
Research data supporting article on "Language and Design Evolution of the OpenMC Monte Carlo Particle Transport Code"
<p>This file contains an archive of all research data that supports the article on "Language and Design Evolution of the OpenMC Monte Carlo Particle Transport Code".</p>
Language Acquisition in the Brain and Algorithms: Towards Systematic Monitoring of the Evolution of Semantic Representations in Biological and Artificial Neural Networks
ClinicalTrials.gov study NCT05217043. IPD Sharing: NO. Countries: 1. Publications: 0.
Replication Package for "Issue-Based Programming Language Evolution"
Open the record for dataset details and reuse information.
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.