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308
datasets available to search
ShareScore release 0.9.0
Dataset results
308 results for “Dynamic Network”
Dynamic gene regulatory networks of human myeloid differentiation [RNA-seq_siRNA]
GEO Series GSE87055. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.
Dynamic neutrophil-keratinocyte communication network centered on IL-36/TNFSF15 responses characterizes inflammatory responses in generalized pustular psoriasis.
GEO Series GSE309097. Homo sapiens. 17 samples. Type: Expression profiling by high throughput sequencing.
Dynamic liposomal and transcriptomic profiling reveal the metabolic network and regulators governing TAGs formation in seeds of safflower
GEO Series GSE232144. Carthamus tinctorius. 15 samples. Type: Expression profiling by high throughput sequencing.
Single-cell transcriptomics of human iPSC differentiation dynamics reveal a core molecular network of Parkinson’s disease
GEO Series GSE183248. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
PTEN mutations impair CSF dynamics and cortical networks by dysregulating periventricular neural progenitors
GEO Series GSE280368. Mus musculus. 14 samples. Type: Expression profiling by high throughput sequencing.
Systematic exploration of dynamic splicing networks reveals conserved multi-stage regulators of neurogenesis [SPARseq]
GEO Series GSE186384. Mus musculus. 3072 samples. Type: Other.
A protein phosphatase network controls the temporal and spatial dynamics of differentiation commitment in human epidermis
GEO Series GSE73147. Homo sapiens. 24 samples. Type: Expression profiling by array.
Reconstruction of the dynamic regulatory network that controls Th17 cell differentiation by systematic perturbation in primary cells
GEO Series GSE43970. Mus musculus. 120 samples. Type: Expression profiling by array; Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Model-driven mapping of transcriptional networks reveals the circuitry and dynamics of virulence regulation
GEO Series GSE60398. Cryptococcus neoformans. 320 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Network dynamics mediate circadian clock plasticity
GEO Series GSE89255. Mus musculus. 11 samples. Type: Methylation profiling by high throughput sequencing.
Dynamic gene regulatory networks of human myeloid differentiation [ATAC-seq]
GEO Series GSE79019. Homo sapiens. 96 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Dynamic microRNA regulatory networks in establishing the Cellular specificity of developing human brains (miRNA-seq)
GEO Series GSE107466. Homo sapiens. 8 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Identification of Pre-Disease State in NC/Nga Mice with Atopic dermatitis-like Symptoms using Dynamical Network Biomarkers
GEO Series GSE295168. Mus musculus. 190 samples. Type: Expression profiling by high throughput sequencing.
Fast Deterministic Algorithms for Highly-Dynamic Networks (video)
Full video presentation of the paper: Fast Deterministic Algorithms for Highly-Dynamic Networks.<br><br>Appears in Session 4 of the 24th International Conference on Principles of Distributed Systems OPODIS 2020<br><a href="https://opodis2020.unistra.fr">https://opodis2020.unistra.fr</a>
Broadcasting with mobile agents in dynamic networks (video)
Full video presentation of the paper: Broadcasting with mobile agents in dynamic networks.<br><br>Appears in Session 1 of the 24th International Conference on Principles of Distributed Systems OPODIS 2020<br><a href="https://opodis2020.unistra.fr">https://opodis2020.unistra.fr</a>
Data from: Non-rhythmic head-direction cells in the parahippocampal region are not constrained by attractor network dynamics
Computational models postulate that HD cells are part of an attractor network integrating angular head turns. This network requires inputs from visual landmarks to anchor the HD signal to the external world. We investigated whether information about HD and visual landmarks is integrated in the medial entorhinal cortex and parasubiculum, resulting in neurons expressing a conjunctive code for HD and visual landmarks. We found that parahippocampal HD cells could be divided into two classes based on their theta-rhythmic activity: non-rhythmic and theta-rhythmic HD cells. Manipulations of the visual landmarks caused tuning curve alterations in most HD cells, with the largest visually driven changes observed in non-rhythmic HD cells. Importantly, the tuning modifications of non-rhythmic HD cells were often non-coherent across cells, refuting the notion that attractor-like dynamics control non-rhythmic HD cells. These findings reveal a new population of non-rhythmic HD cells whose malleable organization is controlled by visual landmarks.
Data from: Abnormal thalamo-cortical network dynamics in migraine
Objective: To investigate the dynamic functional connectivity of thalamo-cortical networks in interictal migraine patients and whether clinical features are associated with abnormal connectivity. Methods: We investigated dynamic functional network connectivity (dFNC) of the migraine brain in 89 interictal migraine patients and 70 healthy controls. We focused on the temporal properties of thalamocortical connectivity using sliding window cross-correlation, clustering state analysis, and graph-theory methods. Relationships between clinical symptoms and abnormal dFNC were evaluated using a multivariate linear regression model. Results: Five dFNC brain states were identified to characterize and compare dynamic functional connectivity patterns. We demonstrated that migraineurs spent more time in a strongly interconnected between-network state, but they spent less time in a sparsely-connected state. Interestingly, we found that abnormal posterior thalamus (pulvinar nucleus) dFNC with the visual cortex and the precuneus were significantly correlated with headache frequency of migraine. Further topological measures revealed migraineurs had significantly lower efficiency of information transfer in both global and local dFNC. Conclusion: Our results demonstrated a transient pathological state with atypical thalamo-cortical connectivity in migraineurs and extended current findings regarding abnormal thalamo-cortical networks and dysrhythmia in migraine.
"Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks": Dataset
<p>This repository contains the data accompanying the paper "<em>Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks</em>", by Francesco Regazzoni, Stefano Pagani, Matteo Salvador, Luca Dedè and Alfio Quarteroni.</p> <p> </p> <p>The associated codes are available in the Github repository <a href="https://github.com/FrancescoRegazzoni/LDNets">https://github.com/FrancescoRegazzoni/LDNets</a></p>
Effective Molecular Dynamics from Neural-Network Based Structure Prediction Models
<p>Molecular dynamics simulation (61.5 us) data of 28 one- and two-domain proteins from Jussupow & Kaila: Effective Molecular Dynamics from Neural-Network Based Structure Prediction Models</p>
Using a real-world network to model the trade-off between stay-at-home restriction, vaccination, social distancing and working hours on COVID-19 dynamics
<p>These datasets have been obtained through thousands of well-carried simulations by using the agent-based model based on a time-dynamic graph with stochastic transmission events. </p> <p>These simulations have been conducted on MATLAB 2019a.</p>
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.