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138
datasets available to search
ShareScore release 0.9.0
Dataset results
138 results for “dynamic mapping”
Mapping the landscape of chromatin dynamics during naïve CD4+ T-cell activation.
GEO Series GSE157174. Homo sapiens. 12 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Mapping Individual Chemoresistome in Breast Cancer Patients Unravels Diversity in Dynamic Transcriptional Adaptation
GEO Series GSE217624. Homo sapiens. 84 samples. Type: Expression profiling by high throughput sequencing.
RNA-sequencing for dynamic epi-transcriptomic landscape mapping with disease progression in patient primary breast tumours.
GEO Series GSE214789. Homo sapiens. 14 samples. Type: Expression profiling by high throughput sequencing.
Dynamic epi-transcriptomic landscape mapping with disease progression in ER-positive breast cancer
GEO Series GSE176535. Homo sapiens. 31 samples. Type: Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing.
Mangrove Population Dynamics Between the Hammer of Anthropogenic Activities and the Anvil of Restoration, a Remote Sensing and GIS Mapping Approach
Open the record for dataset details and reuse information.
Mapping dynamic Tle3 distribution during CD8 T cell responses
GEO Series GSE213036. Mus musculus. 9 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
A single-cell map of maternal and zygotic mRNA dynamics during cell-type specification in zebrafish embryos
GEO Series GSE224919. Danio rerio. 14 samples. Type: Expression profiling by high throughput sequencing; Other.
Spatiotemporal transcriptomic mapping of regenerative inflammation in skeletal muscle reveals a dynamic multilayered tissue architecture
GEO Series GSE276450. Mus musculus. 1 samples. Type: Other.
Dynamic RNA acetylation revealed by quantitative cross-evolutionary mapping
GEO Series GSE135826. Pyrococcus furiosus; Methanocaldococcus jannaschii; Saccharolobus solfataricus; Saccharomyces cerevisiae; Homo sapiens; Thermococcus sp. AM4; Thermococcus kodakarensis. 96 samples. Type: Other.
DYNAMIC STRAIN MAPPING AND REAL-TIME DAMAGE STATE ESTIMATION UNDER BIAXIAL RANDOM FATIGUE LOADING
DYNAMIC STRAIN MAPPING AND REAL-TIME DAMAGE STATE ESTIMATION UNDER BIAXIAL RANDOM FATIGUE LOADING SUBHASISH MOHANTY*, ADITI CHATTOPADHYAY*, JOHN N. RAJADAS**, AND CLYDE COELHO* Abstract. Fatigue damage and its prediction is one of the foremost concerns of structural integrity research community. The current research in structural health monitoring (SHM) is to provide continuous (or on demand) information about the state of a structure. The SHM system can be based on either active or passive sensor measurements. Though the current research on ultrasonic wave propagation based active sensing approach has the potential to estimate very small damage, it has severe drawbacks in terms of low sensing radius and external power requirements. To alleviate these disadvantages passive sensing based SHM techniques can be used. Currently, few efforts have been made towards, time-series fatigue damage state estimation over the entire fatigue life (stage-I, II & III). A majority of the available literature on passive sensing SHM techniques demonstrates the clear trend in damage growth during the final failure regime (stage-III regime) or during when the damage is comparatively large enough. The present paper proposes a passive sensing technique that demonstrates a clear trend in damage growth almost over the entire stage-II and III damage growth regime. A strain gauge measurement based passive SHM frameworks that can estimate the time-series fatigue damage state under random loading is proposed. For this purpose, a Bayesian Gaussian process nonlinear dynamic model is developed to map the reference condition dynamic strain at a given instant of time. The predicted strains are compared with the actual sensor measurements to estimate the corresponding error signals. The error signals estimated at two different locations are correlated to estimate the corresponding fatigue damage state. The approach is demonstrated for an Al-2434 complex cruciform structure applied with biaxial random loading.
Condition-Specific Mapping of Operons (COSMO) Using Dynamic and Static Genome Data
GEO Series GSE203032. Mycobacterium tuberculosis. 64 samples. Type: Expression profiling by high throughput sequencing.
Mapping open chromatin dynamics of cortical neuron differentiation from human induced pluripotent stem cells (iPSCs) by ATAC-Seq
GEO Series GSE70823. Homo sapiens. 6 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Mapping the dynamics of epigenetic adaptation during heterochromatin misregulation [RNA-seq]
GEO Series GSE235807. Schizosaccharomyces pombe. 39 samples. Type: Expression profiling by high throughput sequencing.
Mapping and dynamics of regulatory DNA in A. thaliana accessions
GEO Series GSE53323. Arabidopsis thaliana. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Large scale mapping of environmental-genetic interactions illustrates the dynamic nature of cell cycle and DNA repair regulation
GEO Series GSE312636. Homo sapiens. 26 samples. Type: Expression profiling by high throughput sequencing; Other.
Mapping the Chromatin State Dynamics in Myoblasts
GEO Series GSE71128. Mus musculus. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Mapping the dynamics of epigenetic adaptation during heterochromatin misregulation
GEO Series GSE235808. Schizosaccharomyces pombe. 126 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Mapping the dynamics of epigenetic adaptation during heterochromatin misregulation [ChIP-seq]
GEO Series GSE235806. Schizosaccharomyces pombe. 87 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
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.