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470
datasets available to search
ShareScore release 0.9.0
Dataset results
470 results for “Spatial Patterns”
Multi-resolution deconvolution of spatial transcriptomics data reveals continuous patterns of inflammation (scRNA-Seq)
GEO Series GSE173774. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Spatial Transcriptomic Profiling of the Human Fallopian Tube Epithelium Reveals Region-specific Gene Expression Patterns
GEO Series GSE290051. Homo sapiens. 209 samples. Type: Other.
NEST: Spatially-mapped cell-cell communication patterns using a deep learning-based attention mechanism
GEO Series GSE262245. Homo sapiens. 2 samples. Type: Other.
Optic nerve crush induces spatial and temporal gene expression patterns in optic nerve and retina of BALB/cJ mice
GEO Series GSE44708. Mus musculus. 24 samples. Type: Expression profiling by array.
Optic nerve crush induces spatial and temporal gene expression patterns in retina of BALB/cJ mice
GEO Series GSE44707. Mus musculus. 12 samples. Type: Expression profiling by array.
Numerical and Spatial Patterning of Yeast Meiotic DNA Breaks by Tel1
GEO Series GSE84696. Saccharomyces cerevisiae. 18 samples. Type: Other.
Transcriptome Response and Spatial Pattern of Gene Expression in the Primate Subventricular Zone Neurogenic Niche After Cerebral Ischemia
GEO Series GSE136036. Macaca fuscata. 18 samples. Type: Expression profiling by high throughput sequencing.
Alignment and quantification of ChIP-exo crosslinking patterns reveal the spatial organization of protein-DNA complexes
GEO Series GSE140923. Saccharomyces cerevisiae. 15 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Fig. 2 in Ecological and spatial patterns associated with diversification of South American Physaria (Brassicaceae) through the general concept of species
Fig. 2 Distribution map of South American Physamia. Dots represent specimens of South American Physamia species. Blue: P. cmassistigma, pink: P. latemalis, red: P. mendocina, black: P. okanensis, yellow: P. pygmaea, green: P. umbaniana. Labels associated with dots indicate sampled specimens used in the molecular analyses (see Appendix 1 for complete vouchers)
The spatial landscape of Cancer Hallmarks reveals patterns of tumor ecology and drug sensitivity
Open the record for dataset details and reuse information.
FIG. 1 in Spatial and temporal patterns of territorial mate locating behaviour in Hypolimnas bolina (L.) (Lepidoptera: Nymphalidae)
FIG. 1. Diel regimes of mean proportional shading along transect 1 (top) and transect 2 (bottom). Indicated are the average shading along the whole transect (open circles, solid line), and the average shading in male-occupied 10 m transect segments (open squares, dashed line).
FIG. 3 in Foraging ecology of the giant Amazonian ant Dinoponera gigantea (Hymenoptera, Formicidae, Ponerinae): activity schedule, diet and spatial foraging patterns
FIG. 3. Frequency distribution of the dry weights of food items (N=66) retrieved by Dinoponera gigantea foragers in a secondary rainforest, north Brazil.
Modelling spatial patterns of correlations between concentrations of heavy metals in mosses and atmospheric deposition across Europe in 2010, link to research data and scientific software
<p>Research data and scientific software related to a study investigating the correlations between the concentrations of nine heavy metals in moss and atmospheric deposition within ecological land classes covering Europe. Additionally, it is examined to what extent the statistical relations are affected by the land use around the moss sampling sites.</p>
Using Muscle Functional MRI to Study Spatial Muscle Activation Patterns in People With SCI
ClinicalTrials.gov study NCT07073313. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Spatially organized progenitors in the zebrafish heart field determine cardiovascular patterning
GEO Series GSE294086. Danio rerio. 4 samples. Type: Expression profiling by high throughput sequencing.
Timing of Germ Layer Initiation Linked to Spatially Patterned Onset of Genome Activation
GEO Series GSE201874. Xenopus laevis. 106 samples. Type: Expression profiling by high throughput sequencing.
Optic nerve crush induces spatial and temporal gene expression patterns in optic nerve of BALB/cJ mice
GEO Series GSE44705. Mus musculus. 12 samples. Type: Expression profiling by array.
Identification of Spatial Fault Patterns in Semiconductor Wafers
Abstract The semiconductor industry is constantly searching for new ways to increase the rate of both process development and yield learning. As more data is being collected and stored throughout the chip manufacturing process, it has become increasingly more difficult to analyze yield signals using traditional statistical methods. Most of the serious yield issues manifest themselves as non-random electrical failure maps. Our semi-supervised fault detection framework has elements of Spatial Signature Analysis (SSA) to capture yield signals for very large datasets without losing the critical details typically involved with summarization techniques. It includes signature detection, de-noising, clustering, and purification that allow one to create a true spatial response metric of the yield issue. Once this has been accomplished, one can load process data to join with the spatial response and invoke customized rule induction algorithms that generate a set of hypotheses - likely process causes for a specific spatial target response. The framework has been successfully used at Intel and represents an example of the growing influence of modern statistical learning in the semiconductor industry. **Speaker:** **Dr. Eugene Tuv, Intel** Dr. Eugene Tuv is a Senior Staff Research Scientist in the Logic Technology Department at Intel. His research interests include supervised and unsupervised non-parametric machine learning with massive heterogeneous data. Prior to Intel he worked as a research scientist in the Institute of Nuclear Research, Ukrainian Academy of Science. He holds postgraduate degrees in Mathematics and Applied Statistics.
Neuroinflammation and immunothrombosis transcriptional patterns in CCM lesions revealed by spatial transcriptomics
GEO Series GSE236164. Mus musculus. 4 samples. Type: Other.
Ex Vivo Immuno-Oncology Platform Reveals Spatial T Cell Infiltration Patterns Linked to ATR Inhibition Responses in High-Grade Serous Ovarian Cancer
GEO Series GSE307725. Homo sapiens. 4 samples. Type: Expression 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.