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ShareScore release 0.9.0
Dataset results
29 results for “multiscale analysis”
Fig. 5 Cluster analysis with multiscale bootstrap values for a in Coupling impoverishment analysis and partitioning of beta diversity allows a comprehensive description of Odonata biogeography in the Western Mediterranean
Fig. 5 Cluster analysis with multiscale bootstrap values for a the Sørensen index and b the Simpson index. The number of IndVal significant species is also reported for each cluster
Sex disparities in influenza: a multiscale network analysis
GEO Series GSE168512. Mustela putorius furo. 285 samples. Type: Expression profiling by high throughput sequencing.
Multimodal multiscale analysis reveals flexible DNA contacts of bacterial nucleoprotein filaments
GEO Series GSE157512. Escherichia coli. 36 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Multiscale analysis and functional validation of the cellular and genetic determinants of skeletal disease
GEO Series GSE317069. Homo sapiens; Mus musculus. 47 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Multiscale analysis and functional validation of the cellular and genetic determinants of skeletal disease [Human scRNA-seq]
GEO Series GSE317068. Homo sapiens. 32 samples. Type: Expression profiling by high throughput sequencing.
Multiscale analysis and functional validation of the cellular and genetic determinants of skeletal disease [snATAC-seq]
GEO Series GSE317111. Mus musculus. 1 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Multiscale analysis and functional validation of the cellular and genetic determinants of skeletal disease [Mouse scRNA-seq]
GEO Series GSE212817. Mus musculus. 14 samples. Type: Expression profiling by high throughput sequencing.
Decomposing the complexity of heart-rate variability by the multifractal–multiscale approach to detrended fluctuation analysis: an application to low-level spinal cord injury
<p>Raw data for reproducing (figure 2) and the main results of the paper: doi: 10.1088/1361-6579/ab2b4a</p>
Data set from the article Bari V, Vaini E, Pistuddi V, Fantinato A, Cairo B, De Maria B, Ranucci M, Porta A. Short-term multiscale complexity analysis of cardiovascular variability improves low cardiac output syndrome risk stratification after coronary artery bypass grafting. Physiol Meas. 2019 Apr 26;40(4):044001. doi: 10.1088/1361-6579/ab12f0. PMID: 30909175.
<p>Data set from the article Bari V, Vaini E, Pistuddi V, et al. Short-term multiscale complexity analysis of cardiovascular variability improves low cardiac output syndrome risk stratification after coronary artery bypass grafting. <em>Physiol Meas</em>. 2019;40(4):044001. Published 2019 Apr 26. doi:10.1088/1361-6579/ab12f0</p> <p>This is the abstract:</p> <p><strong>Background: </strong>Low cardiac output syndrome (LCOS) is a myocardial dysfunction leading to systemic hypoperfusion, favored by particular conditions of the autonomic nervous system. LCOS is one of the adverse events that might occur after cardiac surgery.</p> <p><strong>Objective: </strong>The aim is to test the hypothesis that short-term multiscale complexity (MSC) analysis of heart period (HP) and systolic arterial pressure (SAP) variability series in the frequency bands typical of cardiovascular control could be fruitfully exploited in identifying subjects at risk of developing LCOS after coronary artery bypass graft (CABG).</p> <p><strong>Approach: </strong>HP and SAP beat-to-beat series were derived from electrocardiogram (ECG) and invasive arterial pressure (AP) signal acquired in 128 patients scheduled for CABG before (PRE) and after (POST) the induction of general anesthesia with propofol and remifentanil. Subjects were labeled as LCOS (n = 14) and noLCOS (n = 114) according to the LCOS development. MSC markers were calculated as the complement to 1 of the modulus of the average position of the poles dropping in the low-frequency (LF, 0.04-0.15 Hz) and high-frequency (HF, 0.15-0.5 Hz) bands as derived from the autoregressive model of HP and SAP series. Traditional time and frequency domain indexes were also calculated.</p> <p><strong>Main results: </strong>Traditional parameters were able to assess the depression of the cardiovascular regulation induced by general anesthesia, but showed weak performances in differentiating LCOS and noLCOS groups. Conversely, HP complexity in LF band and SAP complexity in HF band assessed during POST remained associated with LCOS even after entering a multivariate logistic regression model adjusted for clinical and demographic factors.</p> <p><strong>Significance: </strong>The MSC approach can be fruitfully applied to improve risk stratification for LCOS after CABG likely because MSC markers describe the dysfunction of the sympathetic control and the impairment of the mechanical properties of the heart in the LCOS group.</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.