Automated Organization ProfileSino-Dannish college, University of Chinese Academy of Sciences, Beijing, China
Sino-Dannish college, University of Chinese Academy of Sciences, Beijing, China
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.3 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
AbstractMolecules –– the elementary units of substances –– are commonly considered the units of processing in olfaction, giving rise to undifferentiated odor objects invariant to environmental variations. By selectively perturbing the processing of chemical substructures with adaptation, “the psychologist's microelectrode”, the current study provides psychophysical and neuroimaging evidence (n = 350) that argues otherwise. We show that two perceptually distinct odorants sharing part of their structural features become significantly less discernable following adaptation to a third odorant containing their non-shared structural features, in manners independent of olfactory intensity, valence, quality, or general olfactory adaptation. The effect is accompanied by reorganizations of ensemble activity patterns in the posterior piriform cortex that parallel subjective odor quality changes, in addition to substructure-based neural adaptations in the anterior piriform cortex and amygdala. These findings demonstrate that central representations of odor quality and the perceptual outcome embed submolecular structural information and are malleable by recent olfactory encounters.Usage NotesThe ‘preprocessed images.zip’ file stores fMRI data that were preprocessed using the standard procedure in SPM12(http://www.fil.ion.ucl.ac.uk/spm). EPI images were corrected for slice timing differences and geometric distortion due to susceptibility artefacts (using participants’ field maps), spatially realigned to the first volume of the first session (first baseline run on Day 1) and unwarped to reduce movement related variance, and smoothed by a Gaussian kernel with 6-mm full width at half maximum to increase signal-to-noise ratio.The ‘clean data.zip’ file stores fMRI data that the no interest effects (motion regressors and low-frequency drift) were subtracted out from the preprocessed functional data with AFNI programs 3dDeconvolve and 3dSynthesize (https://afni.nimh.nih.gov/).The ‘OdorDetectionTask.zip’ file stores the task scripts used in the fMRI scanner.The ‘ROI.zip’ file stores the masks of region of interest used in analysis.The ‘Results.zip’ file stores all results.
Authors
- Yuting Ye ;
- Yanqing Wang ;
- Zhuang, Yuan ;
- Zhentao Zuo ;
- Huibang Tan ;
- Kaiqi Yuan ;
- Zhou, Wen