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7
datasets available to search
ShareScore release 0.9.0
Dataset results
7 results for “architectural layer”
Data for: 'FAS: assessing the similarity between proteins using multi-layered feature architectures'
<p>Raw data and result data for the analyses made for the manuscript:</p> <p>'FAS: assessing the similarity between proteins using multi-layered feature architectures'</p> <p><a href="https://doi.org/10.1093/bioinformatics/btad226">https://doi.org/10.1093/bioinformatics/btad226</a></p> <p>This dataset contains raw data obtained from QFO Orthobench and Gene Ontology database. Analyses were made to showcase the different uses of the FAS algorithm.</p>
Data from "Leveraging mouse chromatin data for heritability enrichment informs common disease architecture and reveals cortical layer contributions to schizophrenia"
<p>All the data is from the final version of a paper exploring schizophrenia heritability with mouse chromatin data. The manuscript is entitled:</p> <p>"Leveraging mouse chromatin data for heritability enrichment informs common disease architecture and reveals cortical layer contributions to schizophrenia"</p> <p>The published manuscript can be found here: To be updated soon</p> <p>bioRxiv versions of the manuscript can be found here: <a href="https://www.biorxiv.org/content/10.1101/427484v1">https://www.biorxiv.org/content/10.1101/427484</a></p> <p>Code for analyzing and producing data can be found on GitHub: <a href="https://github.com/pwh124/open_chromatin">https://github.com/pwh124/open_chromatin</a></p>
Schematic representing the vehicle–to–cell hierarchical overview of a typical electrified powertrain architecture. This represents the system-level context within which the proposed layer optimisation framework has been developed. Two xEV powertrains — a) BEV and b) series PHEV — are chosen as examples to demonstrate how the methodology facilitates common module designs for such battery packs.
<p>Schematic representing the vehicle–to–cell hierarchical overview of a typical electrified powertrain architecture. This represents the<br> system-level context within which the proposed layer optimisation framework has been developed. Two xEV powertrains — a) BEV and b) series PHEV — are chosen as examples to demonstrate how the methodology facilitates common module designs for such battery packs.</p>
The genome-wide, multi-layered architecture of chromosome pairing in early Drosophila embryos
GEO Series GSE121255. Drosophila melanogaster. 2 samples. Type: Other.
The Multi-Layered Transcriptional Architecture of Glioblastoma Ecosystems [10X]
GEO Series GSE274546. Homo sapiens. 121 samples. Type: Expression profiling by high throughput sequencing.
Regulation of inflorescence architecture by inter-tissue-layer ligand-receptor communication between endodermis and phloem
GEO Series GSE35166. Arabidopsis thaliana. 9 samples. Type: Expression profiling by array.
The Multi-Layered Transcriptional Architecture of Glioblastoma Ecosystems [smart-seq2]
GEO Series GSE274548. Homo sapiens. 1 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.