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Dataset results
11 results for “Crossmodal”
Do synaesthesia and mental imagery tap into similar crossmodal processes?
<p>Examples of video stimuli used in<strong> Experiment 1</strong> of paper - Do synaesthesia and mental imagery tap into similar crossmodal processes?</p> <p> </p> <p> </p> <p> </p>
Data from: Audio-visual crossmodal correspondences in domestic dogs (Canis familiaris)
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Typical Crossmodal Numerosity Perception in Preterm Newborns
<p>Columns are described within the .xlsx file </p>
Timbre and Visual Forms: a crossmodal study relating acoustic features and the Bouba-Kiki Effect - Auditory Stimuli
<p>Audio fragments from 'Timbre and Visual Forms: a crossmodal study relating acoustic features and the Bouba-Kiki Effect' study. 11 auditory stimuli. Length: 05 seconds. Audio Format: .wav (44.100/16Bits).</p>
Predicting the crossmodal correspondences of odors using an electronic nose
<p>Odour Recordings</p> <p>There are 100 recordings in total of 10 different essential oils; five were from Mystic Moments™ (caramel, cherry, coffee, freshly cut grass, and pine) and five from Miaroma™ (black pepper, lavender, lemon, orange, and peppermint).<br> Each recording is 10 minutes in duration (600 seconds). Columns in each of the .csv files are in the following order: time, air quality, pollution level, temperature, pressure, humidity, gas, MQ3, MQ5, MQ9, and HCHO. The file's name denotes the odour being recorded and the record number (1 - 10).<br> For more information, please view the publication - R.J. Ward, S. Rahman, S.M. Wuerger, A. Marshall, Predicting the crossmodal correspondences of odors using an electronic nose, Heliyon.</p> <p>Perceptual Data </p> <p>The underlying perceptual data used from R.J. Ward, S.M. Wuerger, A. Marshall, Smelling Sensations: Olfactory Crossmodal Correspondences, J. Percept. Imaging. 4 (2021) 1–12. https://doi.org/10.2352/j.percept.imaging.2021.4.2.020402.<br> The data used from the later paper is the (angularity of shapes, smoothness of texture, perceived pleasantness, pitch, and the colour ratings in L*a*b* space).</p> <p>Each file contains the raw perceptual ratings for the ten different odours (columns) from sixty-eight different participants (rows) in the following order: black pepper, caramel, cherry, coffee, freshly cut grass, lavender, lemon, orange, peppermint, and pine.<br> NOTE: the pitch ratings only contain data from sixy participants due to it being added to the experiment at a later date.</p> <p>The folder regression models contains the required MATLAB code to train and test the regression models for predicting the crossmodal correspondences of odors using physicochemical data.</p> <p>The folder raw perceptual data contains the raw unprocessed perceptual data in .csv format.</p> <p>The folder e-nose code contains the code to drive the Arduino circuit and additional libraries required by the sensors.</p> <p>The folder e-nose recorder contains a Unity project and code to receive the UDP packets from the e-nose and log them.</p> <p><br> If you use this data please cite the following papers;</p> <p>Perceptual Data<br> R.J. Ward, S.M. Wuerger, A. Marshall, Smelling Sensations: Olfactory Crossmodal Correspondences, J. Percept. Imaging. 4 (2021) 1–12. https://doi.org/10.2352/j.percept.imaging.2021.4.2.020402</p> <p>Chemical Data<br> R. Ward, S. Rahman, S. Wuerger, A. Marshall, Predicting the colour associated with odours using an electronic nose, in: 1st Work. Multisensory Exp. - SensoryX’21, 2021: pp. 1–6. https://doi.org/10.5753/sensoryx.2021.15683.<br> R.J. Ward, S. Rahman, S.M. Wuerger, A. Marshall, Predicting the crossmodal correspondences of odors using an electronic nose, Heliyon, (under review as of file upload).</p>
Data from: Crossmodal congruency effect scores decrease with repeat test exposure
The incorporation of feedback into a person's body schema is well established. The crossmodal congruency effect (CCE) task is used to objectively quantify incorporation without being susceptible to experimenter biases. This visual-tactile interference task is used to calculate the CCE score as a difference in response time for incongruent and congruent trials. Here we show that this metric is susceptible to a learning effect that causes attenuation of the CCE score due to repeated task exposure sessions. We demonstrate that this learning effect is persistent, even after a 6 month hiatus in testing. Two mitigation strategies are proposed: 1. Only use CCE scores that are taken after learning has stabilized, or 2. Use a modified CCE protocol that decreases the task exposure time. We show that the modified and shortened CCE protocol, which may be required to meet time or logistical constraints in laboratory or clinical settings, reduced the impact of the learning effect on CCE results. Importantly, the CCE scores from the modified protocol were not significantly more variable than results obtained with the original protocol. This study highlights the importance of considering exposure time to the CCE task when designing experiments and suggests two mitigation strategies to improve the utility of this psychophysical assessment.
Data from: Crossmodal congruency effect scores decrease with repeat test exposure
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Data from: Neurophysiological evidence for crossmodal person-identity representation in the human left ventral temporal cortex
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Crossmodal Learning in Therapeutic Processes (Task 2-2)
ClinicalTrials.gov study NCT05262712. IPD Sharing: YES. Countries: 1. Publications: 0.
Crossmodal Learning in Therapeutic Processes (Task 2-1)
ClinicalTrials.gov study NCT05262699. IPD Sharing: YES. Countries: 1. Publications: 0.
Electrophysiological Correlates of Emotional and Crossmodal Stimuli Processing Among Alcohol-dependent Participants
ClinicalTrials.gov study NCT01633905. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.