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259
datasets available to search
ShareScore release 0.9.0
Dataset results
259 results for “Systemic Levels”
rhBMP-2/CRM/CD HORIZON® Spinal System Pilot Study (2-Level)
ClinicalTrials.gov study NCT01491568. IPD Sharing: Not stated. Countries: 0. Publications: 0.
RNA-Seq characterization of spinal cord injury transcriptome in acute/subacute phases: a resource for understanding the pathology at the systems level
GEO Series GSE45376. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
Chemokine expression in murine RPE/choroid in response to systemic viral infection and elevated levels of circulating interferon-γ
GEO Series GSE73519. Mus musculus. 32 samples. Type: Expression profiling by array.
Combined Experimental and System-Level Analyses Reveal the Complex Regulatory Network of miR-124 during Human Neurogenesis [ZNF787]
GEO Series GSE118315. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Polyamines induce the glutamate decarboxylase acid response system by increasing the level of the σ38 subunit (RpoS) of Escherichia coli RNA polymerase via gadE regulon
GEO Series GSE67119. Escherichia coli. 24 samples. Type: Expression profiling by array.
Integrated analysis of molecular and systems level function of the Crp regulon [RNA-Seq]
GEO Series GSE64848. Escherichia coli. 25 samples. Type: Expression profiling by high throughput sequencing.
Lipid metabolism dysregulation in solar lentigo: a multi-system-level analysis reveals membrane instability and energy homeostasis disruption
GEO Series GSE318414. Homo sapiens. 14 samples. Type: Expression profiling by high throughput sequencing.
Combined Experimental and System-Level Analyses Reveal the Complex Regulatory Network of miR-124 during Human Neurogenesis [d7+d14]
GEO Series GSE118310. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Vehicle-Level Reasoning Systems: Integrating System-Wide data to Estimate Instantaneous Health State
One of the primary goals of Integrated Vehicle Health Management (IVHM) is to detect, diagnose, predict, and mitigate adverse events during the flight of an aircraft, regardless of the subsystem(s) from which the adverse event arises. To properly address this problem, it is critical to develop technologies that can integrate large, heterogeneous (meaning that they contain both continuous and discrete signals), asynchronous data streams from multiple subsystems in order to detect a potential adverse event, diagnose its cause, predict the effect of that event on the remaining useful life of the vehicle, and then take appropriate steps to mitigate the event if warranted. These data streams may have highly non-Gaussian distributions and can also contain discrete signals such as caution and warning messages which exhibit non-stationary and obey arbitrary noise models. At the aircraft level, a Vehicle-Level Reasoning System (VLRS) can be developed to provide aircraft with at least two significant capabilities: improvement of aircraft safety due to enhanced monitoring and reasoning about the aircraft’s health state, and also potential cost savings through Condition Based Maintenance (CBM). Along with the achieving the benefits of CBM, an important challenge facing aviation safety today is safeguarding against system- and component-level failures and malfunctions. Citation: A. N. Srivastava, D. Mylaraswamy, R. Mah, and E. Cooper, “Vehicle Level Reasoning Systems: Concept and Future Directions,” Society of Automotive Engineers Integrated Vehicle Health Management Book, Ian Jennions, Ed., 2011.
A Distributed Approach to System-Level Prognostics
Prognostics, which deals with predicting remaining useful life of components, subsystems, and systems, is a key tech- nology for systems health management that leads to improved safety and reliability with reduced costs. The prognostics problem is often approached from a component-centric view. However, in most cases, it is not specifically component life- times that are important, but, rather, the lifetimes of the sys- tems in which these components reside. The system-level prognostics problem can be quite difficult due to the increased scale and scope of the prognostics problem and the rela- tive lack of scalability and efficiency of typical prognostics approaches. In order to address these issues, we develop a distributed solution to the system-level prognostics prob- lem, based on the concept of structural model decomposi- tion. The system model is decomposed into independent submodels. Independent local prognostics subproblems are then formed based on these local submodels, resulting in a scalable, efficient, and flexible distributed approach to the system-level prognostics problem. We provide a formulation of the system-level prognostics problem and demonstrate the approach on a four-wheeled rover simulation testbed. The re- sults show that the system-level prognostics problem can be accurately and efficiently solved in a distributed fashion.
Core and auxiliary functions of one-carbon metabolism in Pseudomonas putida exposed by a systems-level analysis of transcriptional and physiological responses
GEO Series GSE229763. Pseudomonas putida. 12 samples. Type: Expression profiling by high throughput sequencing.
Organism-level analysis of sepsis reveals mechanisms of systemic inflammation
GEO Series GSE253061. Mus musculus. 249 samples. Type: Expression profiling by high throughput sequencing.
Gene expression profile at single cell level of lung from TRAF5 knockout mouse with Systemic Lupus Erythematosus-associated Pulmonary Arterial Hypertension (SLE-PAH)
GEO Series GSE276751. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Mapping the heterogeneity of pDCs and Monocytes of systemic sclerosis at single cell level [scRNA-seq]
GEO Series GSE210395. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
System Analysis: Respiratory Syncytial Virus induces a decrease expression of HLA-DR at both the cell surface and transcriptional level in Infants with Severe Bronchiolitis.
GEO Series GSE41374. Homo sapiens. 86 samples. Type: Expression profiling by array.
Inflammatory signature of atopic dermatitis from tissue and systemic levels
GEO Series GSE232127. Homo sapiens. 75 samples. Type: Expression profiling by high throughput sequencing.
A first truly systems level mechanistic model unravelling the gene regulation of Th2 differentiation [IRF4]
GEO Series GSE56434. Homo sapiens. 10 samples. Type: Expression profiling by array.
Gene expression profile at single cell level of nervous system in sea cucumber.
GEO Series GSE214016. Apostichopus japonicus. 1 samples. Type: Expression profiling by high throughput sequencing.
Systems-level analysis of peripheral blood gene expression in dementia patients reveals an innate immune response shared across multiple disorders [ftd]
GEO Series GSE140830. Homo sapiens. 542 samples. Type: Expression profiling by array.
Systems-level analysis of peripheral blood gene expression in dementia patients reveals an innate immune response shared across multiple disorders [ad_mci]
GEO Series GSE140829. Homo sapiens. 587 samples. Type: Expression profiling by array.
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.