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1,184
datasets available to search
ShareScore release 0.9.0
Dataset results
1,184 results for “conversion”
(DELETED) Impact of Conversational Practices on Chatbot Users
<p>Dataset of the systematic literature review conducted in the paper <em>Impact of Conversational Practices on Chatbot Users: A Systematic Literature Review.</em></p> <ul> <li><em>accepted.csv</em>: final list of the accepted papers;</li> <li><em>all.csv</em>: complete list of papers retrieved by sources;</li> <li><em>duplicaded.csv</em>: papers that were removed as duplicates from the complete list;</li> <li><em>removed_abs&title.csv</em>: papers that were removed after applying inclusion/exclusion criteria by reading abstract and title;</li> <li><em>removed_full-text.csv</em>: papers that were removed after applying inclusion/exclusion criteria by reading full-text;</li> <li><em>search_strings.csv: </em>search strings used on each source (ACM Digital Library, IEEE Xplore, and Scopus).</li> </ul> <p> </p>
Everyday Augmented Conversation Videos Dataset (to delete)
<p>This dataset builds on the <a href="https://zenodo.org/deposit/6901792">Everyday Conversation Videos Dataset</a> and includes augmented variants of those videos. The 160 videos in this dataset all depict about a minute long everyday conversations. For these, four different actors (A1-A4) acted out a set of eight scenarios (S1-S8) Here, the videos have been cropped, trimmed, and standardized to 720p at 30fps. We then added Snapchat filters to the videos by routing them through Snap Camera. Each video is then available in one of five filter conditions, where:</p> <ul> <li>F0: No filter added</li> <li>F01: Beautification filter</li> <li>F02: Subtle beautification filter</li> <li>F03: Face and body tattoo filter</li> <li>F1-F8: Scenario-specific filters</li> </ul>
Michael Prehn Notes from IMO meetings, conversations and interviews
<p>Michael Prehn notes on 3 days of ISWG-GHG 7<br> Michael Prehn Notes on the split at ISWG-GHG 7<br> Notes on the Trust Group'<br> Michael Prehn unpublished Notes from MEPC 56<br> Michael Prehn Notes from conversations and interviews</p>
Worst Case for high stakes surgical decision making conversations
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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.