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ShareScore release 0.9.0
Dataset results
7 results for “chunking”
Lepidolite Chunk
Lepidolite on display at the Hutchings Museum. Canon EOS 80D, 35mm, F/16, ISO 100, Agisoft Metashape, Windows 10. Source: Objaverse 1.0 / Sketchfab
Physiological constraints and cognitive chunking in Zebra Finch songs: Data and R script
<p>Learned bird songs often have a hierarchical organization. In the case of zebra finches, each bird's song is made up of a string of notes delivered in a stereotyped sequence to form a "motif", and motifs are repeated to form a song bout. During song learning, young males copy "chunks" of two or more consecutive notes from their tutors' songs. These chunks are represented as distinct units within memory (during learning) and within motor systems (during song production). During song performance, motifs may deviate from the learned sequence by stopping short, starting late, or by skipping, inserting or repeating notes. We measured acoustic and temporal variables related to the respiratory and vocal physiology of song production and asked how they related to deviations from each bird's "canonical" sequence. The best predictor of deviations from that sequence was the duration of the silent interval between notes, when inspiration normally occurs. Deviations from the canonical motif occurred less often after higher-pitched notes, perhaps because a high-low sequence forms a prosodic unit. Premature stops often followed louder and longer notes, suggesting that respiratory and muscular physiology influence the location of such stops. Boundaries between the learned chunks of a male's motif predicted where and how often non-canonical starts occurred. Physiological and cognitive elements also interacted to define the segmentation of zebra finch song sequences. Long silent intervals between notes were associated both with physiology (inspirations) and with the cognitive boundaries of learned chunks – and hence with deviations from the canonical motif.</p>
Physiological constraints and cognitive chunking in Zebra Finch songs: Data and R script
Open the record for dataset details and reuse information.
How to Align and Merge Chunks in Metashape
<p>Instructional video explaining how to align and merge two half-models to form a single, complete 3D model. https://youtu.be/RFWx5zAghko</p>
Rennescraft chunk - Palais du commerce
Source: Objaverse 1.0 / Sketchfab
A New Rock Physics Model for Predicting the Elastic Properties of Sediments Hosting Nodule and Chunk-like Natural Gas Hydrate Morphologies
<p>MATLAB codes and well logs used in the manuscript are included.</p>
Red Grape Chunk Classification Dataset
<p>This dataset contains images of red bunches of grapes in the vineyard. The grapes are in an advanced growing stage and are coloured. Dense foliage delivers typical features of Douro vines, and the grapes can be partially occluded. The data correspond to an entire steep slope.</p> <ul> <li>Location: Quinta do Seixo, Douro, Portugal</li> <li>Acquisition device: Smartphone POCO F2 Pro</li> <li>Type of acquisition: Video</li> </ul>
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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.