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859
datasets available to search
ShareScore release 0.9.0
Dataset results
859 results for “Speeches”
Rehabilitation of Post-stroke Aphasia by Targeting Phonological, and Lexico-semantic Deficits With Speech Output Tasks
ClinicalTrials.gov study NCT06451731. IPD Sharing: YES. Countries: 0. Publications: 0.
Speech Analysis as a Diagnostic Tool for Mild Traumatic Brain Injury
ClinicalTrials.gov study NCT02069795. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Comparison of Speech Therapy and Audioprosthetic Care in Older Adults With First-time Hearing Aids
ClinicalTrials.gov study NCT05946395. IPD Sharing: NO. Countries: 0. Publications: 0.
Searching of Apraxia of Speech in Children With Specific Language Impairment
ClinicalTrials.gov study NCT05584033. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Effectiveness of Smartphone-Based Speech Therapy for People with Post-Stroke Dysarthria
ClinicalTrials.gov study NCT05877950. IPD Sharing: NO. Countries: 0. Publications: 0.
Improved Speech Recognition Performance in Noise by Encoding Binaural Spatial Cues to the Cochlear Implant User.
ClinicalTrials.gov study NCT04357704. IPD Sharing: NO. Countries: 0. Publications: 0.
A Cross-sectional Study to Evaluate Speech and Language Development in Chinese Children Aged 2-6 Years
ClinicalTrials.gov study NCT05442229. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Extended High-frequency Hearing and Speech Perception
ClinicalTrials.gov study NCT05435989. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Supplementary Motor Area is a Potential Target for Speech Disturbance in Parkinson Disease
ClinicalTrials.gov study NCT05478057. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Frenuloplasty for Speech and Myofunctional Outcomes
ClinicalTrials.gov study NCT06089629. IPD Sharing: NO. Countries: 0. Publications: 0.
AI-Based Speech Intelligibility Assessment: Efficacy & Reliability
ClinicalTrials.gov study NCT07347782. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Belief-updating, Speech and Psychosis
ClinicalTrials.gov study NCT06042712. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Tracking Biomarkers of Speech Intelligibility
ClinicalTrials.gov study NCT05145946. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Effects of Recursive Self-feedback on Speech Production in Aphasia
ClinicalTrials.gov study NCT06323629. IPD Sharing: NO. Countries: 0. Publications: 0.
The Effect of Transcranial Direct Current Stimulation and Speech Language Therapy to Improve Language Functioning in Arabic Speakers With Aphasia Post-Stroke
ClinicalTrials.gov study NCT04644718. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Beatboxing and Residual Speech Errors
ClinicalTrials.gov study NCT03972449. IPD Sharing: NO. Countries: 0. Publications: 0.
Variants in PUS7 cause intellectual disability with speech delay, microcephaly, short stature, and aggressive behavior
GEO Series GSE121177. Drosophila melanogaster. 16 samples. Type: Other.
Datasets for "Auditing Elon Musk's Impact on Hate Speech and Bots"
<p>Datasets for the publication "Auditing Elon Musk's Impact on Hate Speech and Bots" [1].</p> <p><strong>File information:</strong></p> <ul> <li>baseline_tweet_ids_2022.csv, hate_tweet_ids_2022.csv: List of IDs and their corresponding dates from the "baseline" and "hate" samples of tweets used in the publication, respectively. The former is used to create the number of baseline tweets each day (‘baseline_freq.csv’) while the latter is used to create the number of hate tweets each day (‘hate_freq.csv'). We share the date a tweet was made as well as its tweet ID from which you can find the original tweet’s URL <a href="https://developer.twitter.com/en/blog/community/2020/getting-to-the-canonical-url-for-a-post">with the help of this web page</a>. As you explore these data, you may notice in a minority of cases hate tweets that are not hateful or, alternatively, baseline tweets that are hateful. This is a product of our filtering method used to collect and analyze tweets at scale. We always look forward to hearing your suggestions to improve the tweet filtering process.</li> <li>baseline_freq.csv, hate_freq.csv: Number of collected tweets per day for the baseline and hate samples, respectively. The file 'freq_data.py' is used to calculate these frequencies from the raw data. Feel free to consult this if you have questions about how the frequencies are calculated (or if you want to change how the data are aggregated). <strong>Use these to recreate Figure 2 from Hickey et al [1].</strong></li> <li>user_hate_levels_per_day.csv: CSV file with dates (YYYY-MM-DD format) and the mean proportion of slurs used by hateful users each day from October 1st to November 30th, 2022. <strong>Use these data to recreate Figure 1 from Hickey et al [1]. </strong>See the Methods section of Hickey et al [1]. for details.</li> <li>hate_keywords.txt: Words used to query the Twitter Academic API for hate tweets.</li> <li>unfiltered_tweets_containing_hate_words.csv: All tweets with hate words collected with values for Perspective API attributes.</li> </ul> <p><strong>Reference:</strong></p> <p>1. Hickey, D., Schmitz, M., Fessler, D.M.T, Smaldino, P., Muric, G., & Burghardt, K. Auditing Elon Musk's Impact on Hate Speech and Bots. In Proceedings of the 17th International AAAI Conference on Web and Social Media, (2023).</p>
SWAHILI AND CODE-SWITCHED ENGLISH-SWAHILI POLITICAL HATE SPEECH DETECTION TEXTUAL DATASET
<p>This dataset consist of swahili and code switched English-Swahili tweets labeled for hate speech type,the target and language.</p> <p>The dataset can be accessed upon request from the authors via email addresses:</p> <p> -nodhianbo@gmail.com</p> <p> -endeshanelly@gmail.com</p> <p> -mscci00083@student.maseno.ac.ke</p>
Radboud Maximum Speech Performance Corpus (RaMax)
<p>This corpus contains 78 native Dutch speakers' maximum performance speech material (and accompanying Praat TextGrid files) of two tasks, namely a tongue twister and a Diadochokinesis (DDK) task. </p>
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.