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475 results for “words”
Korean embedding files using the different morphological segmentation granularity of the word
<p>Embedding files using the following segmentation:</p> <ol> <li>wordUD</li> <li>morphUD</li> <li>+morphUD </li> </ol> <p>Based on wordUD there are 9,692,938 sentences and 157,653,628 words (tokenized) including all articles published in The Hankyoreh during 2016 (1.2M sentences), Sejong morphologically analyzed corpus (3M), and Korean Wiki (20201101) (5.3M):</p> <p> </p> <blockquote> <p>./fasttext skipgram -input input -output embedding -dim 300</p> </blockquote>
Assessing Word Similarity Metrics for Traceability Link Recovery - Evaluation Dataset
<p>This dataset includes all data that was used for the evaluation of my bachelor's thesis:</p> <p><em>Assessing Word Similarity Metrics for Traceability Link Recovery</em></p> <p>The following files correspond to the following data sets from the evaluation:</p> <ul> <li>cc-en-300.tar.gz corresponds to fastText's cc.en.300.bin embedding</li> <li>crawl-300d-2M-subword.tar.gz corresponds to fastText's crawl-300d-2M-subword.bin embedding</li> <li>wiki-news-300d-1M-subword.tar.gz corresponds to fastText's wiki-news-300d-1M-subword.bin embedding</li> <li>wordnet.tar.gz corresponds to the WordNet 3.1 semantic network</li> <li>sewordsim.tar.gz corresponds to SEWordSimDB's vector similarity database</li> <li>glove_cc_840B_300d.tar.gz corresponds to GloVe's CC vector embedding</li> <li>glove_wikigiga_300d.tar.gz corresponds to GloVe's 300 dimensional WIGI vector embedding</li> <li>glove_wikigiga_200d.tar.gz corresponds to GloVe's 200 dimensional WIGI vector embedding</li> <li>glove_wikigiga_100d.tar.gz corresponds to GloVe's 100 dimensional WIGI vector embedding</li> <li>glove_wikigiga_50d.tar.gz corresponds to GloVe's 50 dimensional WIGI vector embedding</li> <li>glove_twitter_200d.tar.gz corresponds to GloVe's 200 dimensional TWTR vector embedding</li> <li>glove_twitter_100d.tar.gz corresponds to GloVe's 100 dimensional TWTR vector embedding</li> <li>glove_twitter_50d.tar.gz corresponds to GloVe's 50 dimensional TWTR vector embedding</li> <li>glove_twitter_25d.tar.gz corresponds to GloVe's 25 dimensional TWTR vector embedding</li> <li>eval_results.tar.gz contains the detailed evaluation results for each configuration of all measures</li> </ul> <p>The licenses of all data sets are included in their respective files.</p> <p>Some of these data sets are .sql files. To use these files to reproduce the evaluation, they need to be imported into a sqlite3 database. The version of ArDoCo used for the evaluation is only able to work with sqlite3 databases and not with sql files.</p>
Frequencies per million words for 5 epidemiologically relevant search terms in a dozen British 19th century newspapers
<p>COVID-19 is the first known coronavirus pandemic. Nevertheless, the seasonal circulation of the four milder coronaviruses of humans – OC43, NL63, 229E and HKU1 – raises the possibility that these viruses are the descendants of more ancient coronavirus pandemics. This proposal arises by analogy to the observed descent of seasonal influenza subtypes H2N2 (now extinct), H3N2 and H1H1 from the pandemic strains of 1957, 1968 and 2009, respectively. Recent historical revisionist speculation has focussed on the influenza pandemic of 1889-1892, based on molecular phylogenetic reconstructions that show the emergence of human coronavirus OC43 around that time, probably by zoonosis from cattle. If the "Russian influenza", as The Times named it in early 1890, was not influenza but caused by a coronavirus, the origins of the other three milder human coronaviruses may also have left a residue of clinical evidence in the 19th century medical literature and popular press. In this paper, we search digitised 19th century British newspapers for evidence of previously unsuspected coronavirus pandemics. We conclude that there is little or no corpus linguistic signal in the UK national press for large-scale outbreaks of unidentified respiratory disease for the period 1785 to 1890.</p>
What is Open Science Word Art
<p>On August 11th 2022, TOPS held a community forum during which Mentimeter was used to collect anonymous survey data from the participants. Using the responses to the question, "In your own words, how do you define open science?", NASA Transform to Open Science created a word art diagram to show key issues. </p>
Leverage Points in Modality shifts: Comparing Language-only and Multimodal Word Representations
<p>Dataset for the blind submission of Leverage Points in Modality shifts: Comparing Language-only and Multimodal Word Representations paper</p>
Saek (Nakai) audio word list
<p>Our informants were Thongmai (19) and Sutyay (21) living in Ban Non Udom, Songkhon District, Savannakhet Province, Laos, which has about 50 households. Both are unmarried and have followed their elder sister Buason (31) to the village when Buason got married there. Her husband had met her when he was building roads up in the Nakai Nam-Theun Conservation area. The sisters were all originally from Ban Beuk [bɯk], Nakai District, Khammouane Province, Laos, which is a remote outpost that takes 5 hours to reach from Mahaxay town.</p>
Biao Min (Jiangtang) audio word list
<p>On May 2, 2013, I visited two Biao Min villages of Guanyang County, Guangxi, China.</p> <p><br> The dialects are reported to be mutually intelligible. However, this language is undocumented, and is unintelligible with Biao Min of Dongshan Township, Quanzhou County, Guangxi located just to the north.<br> <br> Dialect 1:</p> <ul> <li>Mifengshan 蜜蜂山, Jiangtang 江塘村, Shuiche Township 水车乡, Guanyang County</li> </ul> <p><br> Dialect 2:</p> <ul> <li>Baizhuping 白竹坪, Wenshi Township 文市乡, Guanyang County</li> <li>Xiamashan 下马山, Xieshui Village 斜水村, Dongshan Township 东山乡, Quanzhou County (reported as the same dialect by speakers in Baizhuping; I did not have a chance to visit Xiamashan)</li> </ul>
Word folder for images in research paper titled "INSILICO MODELING OF BLADDER CANCER ASSOCIATED PROTEIN"
<p>Bladder cancer is one of several types of cancer arising from the tissues of the urinary bladder. It is a disease in which cells grow abnormally and have the potential to spread to other parts of the body. In the study a<span> 3D model was obtained using multiple templates. </span>The stereo chemical quality of the model was assessed using RAMACHANDRAN PLOT analysis. The attached word file contains the images and plots pertaining to this study.</p> <p> </p> <p> </p>
Temporal overlays of the co-word analysis network on Ecotourism, Sustainable Tourism and Nature Based Tourism (1986-2022): Map and network for VOSViewer visualization
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Geographical overlays of the co-word analysis network on Ecotourism, Sustainable Tourism and Nature Based Tourism (1986-2022): Map and network for VOSViewer visualization
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Base outline of the co-word analysis network on Ecotourism, Sustainable Tourism and Nature Based Tourism (1986-2022): Map and Network for VOSViewer visualization
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The impact of cognitive remediation therapy on lower eye movement and word fluency function: A prospect for improvement of eye movement and cognitive function in schizophrenia
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Auditory Emotion Word Primes Influence Emotional Face Categorization in Children and Adults, but Not Vice Versa
<p>Abstract</p> <p>In order to assess how the perception of audible speech and facial expressions influence one another for the perception of emotions, and how this influence might change over the course of development, we conducted two cross-modal priming experiments with three age groups of children (6-, 9-, and 12-years old), as well as college-aged adults. In Experiment 1, 74 children and 24 adult participants were tasked with categorizing photographs of emotional faces as positive or negative as quickly as possible after being primed with emotion words presented via audio in valence-congruent and valence-incongruent trials. In Experiment 2, 67 children and 24 adult participants carried out a similar categorization task, but with faces acting as visual primes, and emotion words acting as auditory targets. The results of Experiment 1 showed that participants made more errors when categorizing positive faces primed by negative words versus positive words, and that 6-year-old children are particularly sensitive to positive word primes, giving faster correct responses regardless of target valence. Meanwhile, the results of Experiment 2 did not show any congruency effects for priming by facial expressions. Thus, audible emotion words seem to exert an influence on the emotional categorization of faces, while faces do not seem to influence the categorization of emotion words in a significant way.</p>
Ideophonic echo-words and prosaic dvandva compounds in Korean and Japanese
<p>This dataset contains ideophonic echo-words and prosaic dvandva compounds in Korean and Japanese. For Korean data, 118 echo-words and 64 dvandva compounds are extracted from a written corpus of 29,015 Korean ideophones (http://www.hangeul.pe.kr/symbol/words.htm) and Jung’s (1991) comprehensive study on Korean compounds, respectively. For Japanese data, 98 echo-words are compiled from seven ideophonic studies (Ono 2007; Hida and Asada 2002; Yamaguchi 2003; Kakehi et al. 1996; Amanuma 1974; Asano 1978; Hamano 2014), and 107 dvandva compounds are taken from Hayata’s (1977) list of Japanese compounds.</p> <p><strong>Reference</strong></p> <p>Amanuma, Yasushi. ed. 1974. <em>Giongo/gitaigo jiten</em> [A dictionary of mimetic words]. Tokyo: Tokyodo.</p> <p>Asano, Tsuruko. ed. 1978. <em>Giongo/gitaigo jiten</em> [A dictionary of mimetic words]. Tokyo: Kadokawa.</p> <p>Hamano, Shoko. 2014. <em>Nihongo no onomatope</em> [Onomatopeia in Japanese: Sound symbolism and structure]. Tokyo: Kuroshio.</p> <p>Hayata, Teruhiro. 1977. Tsuigo-no on’inkaiso [On phonological hierarchies for binomials]. <em>Bungaku Kenkyu</em> 74: 123-152.</p> <p>Hida, Yoshifumi, and Hideko Asada. 2002. <em>Gendai giongo gitaigo yōhō jiten</em> [A usage dictionary of modern mimetic words]. Tokyo: Tokyodo.</p> <p>Jung, Dong Hwan 1991. Kwuke hapsengeuy uymikwankye yenkwu [A study of semantic relations of compound words in Korean]. PhD diss., Konkuk University.</p> <p>Kakehi, Hisao, Ikuhiro Tamori, and Lawrence Schourup. 1996. <em>Dictionary of iconic expressions in Japanese</em>. 2 vols. Berlin: Mouton de Gruyter.</p> <p>Ono, Masahiro. ed. 2007. <em>Giongo/gitaigo 4500: Nihongo onomatope jiten </em>[4500 mimetic words: A dictionary of Japanese onomatopoeia]. Tokyo: Shogakukan.</p> <p>Yamaguchi, Nakami. ed. 2003. <em>Kurashi no kotoba: Gion/gitaigo jiten</em> [Language of life: A dictionary of mimetic words]. Tokyo: Kodansha.</p>
Data sets for Color Word Associates Memory and RT Data
<p>Incidental memory and RT data a study examining congruency effects for color word associates (e.g., <em>ocean</em>). In the experiment, subjects incidentally recalled color word associates (e.g., <em>ocean</em>) and neutral words (e.g., <em>lawyer</em>) immediately after naming their font color (Experiment 1a) or reading them aloud (Experiment 1b). In both tasks, recall was better for congruent color word associates (e.g., <em>ocean </em>appearing in blue) than incongruent color word associates (e.g., <em>ocean </em>appearing in green) or neutral items (<em>lawyer </em>appearing in blue). This outcome is consistent with an embodied approach such that co-activation of a semantic color code and a lexical representation strengthens the episodic memory representation and makes it more accessible.</p>
List of Taboo Words
<p>Disclaimer: The set of English taboo terms are from <https://gist.github.com/jamiew/1112488>, which seems to be originated from Google's "what do you love" project.</p>
Reaction times of spatially coherent and incoherent signals in a word recognition task
<p>Using conventional sound design, the audio signal in virtual reality applications is often rendered as a static stereophonic signal. It is accompanied by a visual signal that allows for interactive behavior such as looking around. In the current test, the influence of spatial offset between the audio and visual signals is investigated using reaction time measurements in a word recognition task. The audio-visual offset is introduced by a video presented at horizontal offset angles between 21, accompanied with a static central audio. Measurements are compared to reaction times from a test where both audio and visual signal are presented with the same angle. Results show that audio-visual offsets between 10 and 20 cause significant differences in reaction time compared to spatially matched presentation.</p> <p>This dataset provides the files used for creating these results, such as video files, MaxMSP patches, Analyses in MATLAB</p>
Supporting data (pre-processed) for: "Frequency-tagged visual evoked responses track syllable effects in visual word recognition"
<p>Pre-processed data. </p> <p>Data were re-referenced off-line to the average of left and right mastoid electrodes, bandpass filtered from 5 to 100 Hz (4th order Butterworth filter) and then segmented to include 200 ms before and 2000 ms after stimulus onset. Epoched data were normalized based on a prestimulus period of 200 ms, and then evaluated according to a sample-by-sample procedure to remove noisy sensors that were replaced using spherical splines. Additionally, EEG epochs that contained data samples exceeding threshold (100 uV) were excluded on a sensor-by-sensor basis, including horizontal and vertical eye channels</p> <p>The original data:<br> Montani, Veronica. (2019). Supporting data for: "Frequency-tagged visual evoked responses track syllable effects in visual word recognition" [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3260451</p>
Limnological topical words datasets from ASLO and Web of Science
<p>These datasets include the number of counts of pre-identified words related to limnological research found in abstracts of research (oral presentations and poster) for freshwater research presented at the Association for the Sciences of Limnology and Oceanography (ASLO) between 2004 and 2016. The raw data have been obtained from the Schneider group, and they have been summarized to build tables and figures in the associated Lapierre et al. paper (Limnology and Oceanography Letters. 2019). Additional datasets includes the number of counts of pre-identified words related to limnological research found in abstracts of articles found in Web of Science between 1994 and 2017. These data allowed us to compare research trends presented at ASLO meetings to those found in the scientific literature.</p>
Online Appendix of the Paper "The Power of Words in Agile vs. Waterfall Development: Written Communication in Hybrid Software Teams"
<h2>GENERAL INFORMATION</h2> <div>In our publication “<em><strong><a href="https://doi.org/10.1016/j.jss.2024.112243">The Power of Words in Agile vs. Waterfall Development: Written Communication in Hybrid Software Teams</a>,”</strong></em> in the Journal of Systems and Software, we present an exploratory case study conducted in a large software organization, AFAS Software. Our study investigates the influence of the development paradigm and the formality of communication channels on written communication within hybrid development teams. Our main research question is: <em>“<strong>How do the employed development paradigm and the formality of the communication channel impact the written communication content within hybrid software development teams?”</strong> </em>To address the main research question, we operationalize communication content through a coding scheme comprising codes derived from the Project Management Life Cycle (PMLC), the Software Development Life Cycle (SDLC), and speech acts types, which leads to the following sub-research questions:</div> <ul> <li><em>How do the employed development paradigm and the formality of the communication channel impact </em><em>the content of written communication pertaining to the Project Management Life Cycle phases? </em><em>(RQ1A & RQ1B)</em></li> <li><em>How do the employed development paradigm and the formality of the communication channel impact </em><em>the content of written communication pertaining to the Software Development Life Cycle phases? </em><em>(RQ2A & RQ2B)</em></li> <li><em>How do the employed development paradigm and the formality of the communication channel impact </em><em>the use of speech acts types in written communication? (RQ3A & RQ3B)</em></li> </ul> <div>To answer these research questions, we test the following hypotheses regarding the PMLC, the SDLC, and speech acts types:</div> <div> </div> <div><em><strong>The content of written communication within a development team</strong></em></div> <div> <ul> <li><strong>H1</strong>: is affected by the development paradigm. <ul> <li><strong>H1.1</strong>: in formal communication channels is affected by the development paradigm.</li> <li><strong>H1.2:</strong> in informal communication channels is affected by the development paradigm.</li> </ul> </li> </ul> </div> <div><em><strong>The content of written communication within</strong></em></div> <div> <ul> <li><strong>H2:</strong> a development team is affected by the formality of the communication channel. <ul> <li><strong>H2.1:</strong> a non-agile development team is affected by the formality of the communication channel.</li> <li><strong>H2.2:</strong> an agile development team is affected by the formality of the communication channel.</li> </ul> </li> </ul> </div> <div>This online appendix contains supplementary material to uphold transparency and facilitate the reproduction of the statistical analysis. For more information, refer to the publication:</div> <ul> <li>Section 2.5 for the projects sampling</li> <li>Section 2.6 for data extraction and preparation</li> <li>Section 2.7 for the coding scheme and data analysis</li> </ul> <p><strong>Software Dependencies: </strong></p> <ul> <li>PDF Viewer (e.g. Acrobat Reader)</li> <li>IBM SPSS</li> <li>Microsoft Excel</li> <li>Python</li> </ul> <h2>FILES OVERVIEW</h2> <h3>JSS Online Appendix</h3> <div>The root folder includes the <strong>“Project Teams Composition.pdf</strong><em><strong>”</strong></em> file, which contains the anonymized compositions of 20 project teams: 11 agile (PrAG) projects and 9 waterfall (PrWF) projects. This file lists the project team members involved in communication within the Microsoft Teams and Insite channels. </div> <h3>Subfolder “SPSS Files”</h3> <div>This subfolder includes the SPSS files, which contain the normality test and Mann-Whitney U Tests. </div> <div> <ul> <li><strong>Normality Test.spv</strong>: This file contains the results of the normality test.</li> </ul> </div> <div>We performed the normality test. In most cases, the significance of Shapiro-Wilk is below 0.05; thus, the data is not normally distributed and fails to meet the assumption for the t-test. We, therefore, opted for the Mann-Whitney U test, the non-parametric alternative of the t-test.</div> <div> </div> <div>The files below contain the results of Mann-Whitney U Tests, which are presented in Appendix A - Tables A.7 (a), A.8 (a), A.9 (a):</div> <ul> <li><strong>H1 - PrAG vs PrWF Product.spv</strong>: This file contains the results for hypothesis 1. </li> <li><strong>H1.1 - PrAG vs PrWF Formal.spv</strong>: This file contains the results for hypothesis 1.1.</li> <li><strong>H1.2 - PrAG vs PrWF Informal.spv</strong>: This file contains the results for hypothesis 1.2.</li> </ul> <div>The files below contain the results of Mann-Whitney U Tests, which are presented in Appendix A - Tables A.7 (b), A.8 (b), A.9 (b):</div> <ul> <li><strong>H2 - PrAG vs PrWF Formality.spv</strong>: This file contains the results for hypothesis 2.</li> <li><strong>H2.1 - PrWF Formal vs Informal.spv</strong>: This file contains the results for hypothesis 2.1.</li> <li><strong>H2.2 - PrAG Formal vs Informal.spv</strong>: This file contains the results for hypothesis 2.2.</li> </ul> <h3>Subfolder “Excel Files”</h3> <div>This subfolder includes the necessary files to perform calculations and the results of these calculations.</div> <ul> <li><strong>JSS Paper.xlsx</strong>: This file contains the absolute numbers, which are used as input for the calculations.</li> <li><strong>JSS-Statistics.py</strong>: This Python script uses the <strong>“</strong><strong>JSS Paper. xlsx<em>”</em></strong><em><strong> </strong></em>file to perform calculations based on the hypotheses for Project Life Cycle Management (PMLC), Software Development Life Cycle (SDLC), and Speech Acts.</li> </ul> <div>The files below contain the results of the calculations:</div> <ul> <li><strong>PMLC (RQ1A & RQ1B)_v1.xlsx:</strong> This file contains the results for the PMLC phases. The results are presented in Appendix A.1.</li> <li><strong>SDLC (RQ2A & RQ2B)_v1.xlsx:</strong> This file contains the results for the SDLC phases. The results are presented in Appendix A.2.</li> <li><strong>Speech Acts (RQ3A & RQ3B)_v1.xlsx:</strong> This file contains the results for the speech act types. The results are presented in Appendix A.3.</li> </ul> <h2>DATA ACCESS AND SHARING</h2> <div><strong>Recommended citation for this dataset:</strong> Ly, D., Overeem, M., Brinkkemper, S., Dalpiaz, F., 2024. Online Appendix of the Paper “The Power of Words in Agile vs. Waterfall Development: Written Communication in Hybrid Software Teams”. [Data set]. In The Journal of Systems and Software. Zenodo. doi: 10.5281/zenodo.13894086.</div> <div> </div> <div><strong>License information:</strong><em><strong> </strong></em>Creative Commons Attribution 4.0 International</div>
ScienceDex guides
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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.