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475
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ShareScore release 0.9.0
Dataset results
475 results for “words”
Data from: Life history strategy and everyday word use
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Data from: Building a responsive teacher: how temporal contingency of gaze interaction influences word learning with virtual tutors
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Data from: Selective visual representation of letters and words in the left ventral occipito-temporal cortex with intracerebral recordings
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Data from: Scaling in words on Twitter
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Regarding the F-word: the effects of data Filtering on inferred genotype-environment associations
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Data from: Utterance-final position and pitch marking aid word learning in school-age children
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Data from: The influence of evaluative right/wrong feedback on phonological and semantic processes in word learning
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Data from: Too constrained to converse: the effect of financial constraints on word-of-mouth
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Data from: Water immersion decreases sympathetic skin response during color–word Stroop Test
Water immersion alters the autonomic nervous system (ANS) response in humans. The effect of water immersion on executive function and ANS responses related to executive function tasks was unknown. Therefore, this study aimed to determine whether water immersion alters ANS response during executive tasks. Fourteen healthy participants performed color–word-matching Stroop tasks before and after non-immersion and water immersion intervention for 15 min in separate sessions. The Stroop task-related skin conductance response (SCR) was measured during every task. In addition, the skin conductance level (SCL) and electrocardiograph signals were measured over the course of the experimental procedure. The main findings of the present study were as follows: 1) water immersion decreased the executive task-related sympathetic nervous response, but did not affect executive function as evaluated by Stroop tasks, and 2) decreased SCL induced by water immersion was maintained for at least 15 min after water immersion. In conclusion, the present results suggest that water immersion decreases the sympathetic skin response during the color–word Stroop test without altering executive performance.
Shinique Smith - Open Word Lattice
Ink, acrylic, fabric and paper collage, and found objects on cut wood panel 2014, this 3D scan 2014 Scanned at: Museum of Fine Arts, Boston Source: Objaverse 1.0 / Sketchfab
Word Cloud of BBC UK's Video Comments
<div> <p>Word Cloud graph created on Python with a Google Colab Notebook. Dataset of YouTube comments of BBC UK's video about France's Abortion Law made as a constitutional right, collected from Communalytic. This Image is for a Group Work Assignment for the course Digital Methods in Utrecht University. </p> <p> </p> </div>
Comprehensive Collection of English, German, Russian and Ukrainian Tweets Containing the Word or Hashtag Ukraine During the Russian Invasion, February 2022 until May 2023
<p>Comprehensive dataset of Tweets containing the keyword 'ukraine' (in German, Russian and Ukrainian) as well as '#ukraine' (in English) since the Russian Ukraine Invasion in February 2022. The user handle column has been excluded to protect deleted accounts that have not been retweeted or replied to. Tweets have been collected via the Academic API using the Search endpoint in four languages:</p> <table> <tbody> <tr> <td><strong>Language</strong></td> <td><strong>Query</strong></td> <td><strong> Name in Dataset (column: event) </strong></td> <td><strong>Number of Tweets<br></strong></td> </tr> <tr> <td>English</td> <td>#ukraine AND lang='en' </td> <td>ukraine-en-hashtag</td> <td>45.8 million</td> </tr> <tr> <td>German</td> <td>ukraine AND lang='de' </td> <td>ukraine</td> <td>19.6 million</td> </tr> <tr> <td>Russian</td> <td>Украина AND lang:ru </td> <td>ukraine-ru</td> <td>5.02 million</td> </tr> <tr> <td>Ukrainian</td> <td>Україна AND lang:uk </td> <td>ukraine-uk</td> <td>4.1 million</td> </tr> </tbody> </table> <p><strong>Collection dates</strong></p> <p>Details on collection dates per Tweet (e.g. to compare with creation dates) as well as the IDs of Tweets for consistency checks can be found here: <a href="https://github.com/Leibniz-HBI/ukraine_twitter_data">https://github.com/Leibniz-HBI/ukraine_twitter_data</a> (<a href="https://doi.org/10.17605/OSF.IO/RTQXN">https://doi.org/10.17605/OSF.IO/RTQXN</a>)</p> <p><strong>File Naming Scheme</strong></p> <p>To enable downloads of selected timeframes and languages, the files are named by language, start and end date of the tweet creation timestamp.</p> <p><strong>Columns</strong></p> <p>The following columns are available:</p> <ul> <li>event: tag for query and language used for the query</li> <li>id: Tweet ID</li> <li>inserted_at: collection date</li> <li>last_updated_at: last update date (relevant for metrics such as follower count)</li> <li>text: Tweet text</li> <li>lang: language as determined by Twitter</li> <li>created_at: creation date of the Tweet</li> <li>conversation_id: Tweets with the same ID are part of the same reply tree to a tweet (provided by Twitter)</li> <li>author_follower_count: follower count of the Tweet's author account at the creation or last update time of the tweet</li> <li>replied_to: account the Tweet replies to</li> <li>replied_to_follower_count: follower count of the Tweet's replied to account at the creation or last update time of the tweet</li> <li>quoted: if quote tweet, ID of quoted tweet</li> <li>quoted_follower_count: analog to replied_to_follower_count</li> <li>retweeted: analog to quoted</li> <li>retweeted_follower_count: analog to replied_to_follower_count</li> <li>hashtags: hashtags of the Tweet</li> <li>urls: URLs in the tweet, shortened/unshortened, including links to media</li> <li>place_id: alphanumeric place ID provided by the Twitter API, mostly empty</li> </ul>
Transcripts (MS Word and RData versions) for "A nationalist-conservative grammar of change?"
<p>Transcripts accompanying the paper "A nationalist-conservative grammar of change?" in both MS Word format (the line numbers refer to this version) and RData. The latter can be used in the accompanying reproductible example (reprex)</p>
Word embeddings for the Spanish clinical language
<p>Word embeddings for the Spanish clinical language</p> <p>Corpora used to compute the embeddings:</p> <ul> <li>Chilean waiting list corpus - <a href="https://zenodo.org/record/7072314">https://zenodo.org/record/7072314</a></li> <li>Medical Journal in Spanish - <a href="https://zenodo.org/record/7072352">https://zenodo.org/record/7072352</a></li> <li>UMLS Heading Sequences in Spanish - <a href="https://zenodo.org/record/7072323">https://zenodo.org/record/7072323</a></li> </ul> <p> </p>
EMERGENCE OF VIEWING THE WORD AS A SIGN IN PHILOSOPHY
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Archive of synthesized audio of 300 core words of 42 Indo-European languages
<p>See <a href="https://github.com/EL-CL/acoustic-dist-ie-audio">https://github.com/EL-CL/acoustic-dist-ie-audio</a> and <a href="https://github.com/EL-CL/acoustic-dist-ie">https://github.com/EL-CL/acoustic-dist-ie</a> for details.</p>
ON OCCASIONAL WORDS AND RELATED EVENTS
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Korsakow Word Show
<p>Korsakow film</p>
Word-Pair Associative Recognition MEG data and subject performance
<p>MEG and behavioural data from the publication "Tracking cognitive processing stages with MEG: A spatio-temporal model<br> of associative recognition in the brain" by Borst et al. Code for loading and analyzing this data can be found in <a href="https://github.com/Seanny123/nengo_learn_assoc_mem/blob/2f10c7fb67a242fea6022ebaf690e8022bc4289d/making_plots.ipynb">this code</a> which is a part of the thesis "Learning neural memories to improve with practice" by Sean Aubin.</p>
Spanish Word Embeddings
<p>Spanish Word Embeddings computed using fastText.</p>
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.