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2,326
datasets available to search
ShareScore release 0.9.0
Dataset results
2,326 results for “clusters”
SNORD113-114 cluster maintains hematopoietic stem cell self-renewal via orchestrating the translation machinery
GEO Series GSE270936. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
L7 vs sensory cluster (Discovery array DAA)
GEO Series GSE4626. Aplysia californica. 3 samples. Type: Expression profiling by array.
Surges in biosynthetic gene cluster transcription are accompanied by bursts in natural compound production in the myxobacterium Sorangium sp. So ce836
GEO Series GSE217497. Sorangium sp.. 19 samples. Type: Expression profiling by high throughput sequencing.
Generation of new compounds through unbalanced transcription of landomycin A cluster
GEO Series GSE83137. Streptomyces albus. 2 samples. Type: Expression profiling by high throughput sequencing.
Tumor-reactive heterotypic CD8 T cell clusters from clinical samples
GEO Series GSE283942. Homo sapiens. 28 samples. Type: Expression profiling by high throughput sequencing; Other.
Piwi is required during Drosophila embryogenesis to license dual-strand piRNA clusters for transposon repression in adult ovaries
GEO Series GSE83238. Drosophila melanogaster. 19 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Topological demarcation by HMGB2 is disrupted early upon senescence entry and induces CTCF clustering across cell types [DROP-seq]
GEO Series GSE102090. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.
DNA methylation contributes to the site-specific regulation of HOXA cluster gene expression
GEO Series GSE282439. Homo sapiens. 3 samples. Type: Methylation profiling by array.
The Chromosome 19 miRNA Cluster Guards Trophoblasts Against Overacting Innate Immunity
GEO Series GSE293705. Homo sapiens. 20 samples. Type: Expression profiling by high throughput sequencing.
The constrained architecture of mammalian Hox gene clusters
GEO Series GSE127870. Mus musculus. 32 samples. Type: Other; Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Training data for "Clustering 3K PBMCs with Scanpy"
<p>Single-cell RNA-seq analysis is a rapidly evolving field at the forefront of transcriptomic research, used in high-throughput developmental studies and rare transcript studies to examine cell heterogeneity within a populations of cells. The cellular resolution and genome wide scope make it possible to draw new conclusions that are not otherwise possible with bulk RNA-seq.</p> <p>In this tutorial, we will investigate clustering of single-cell data from 10x Genomics, including preprocessing, clustering and the identification of cell types via known marker genes, using <a href="https://scanpy.readthedocs.io/en/stable/index.html">Scanpy</a> (<a href="http://0.0.0.0:4000/training-material/topics/transcriptomics/tutorials/scrna-scanpy-pbmc3k/tutorial.html#wolf2018scanpy">Wolf <em>et al.</em> 2018</a>). It is illustrated using a dataset of Peripheral Blood Mononuclear Cells (PBMC), extracted from a heal, freely available from 10X Genomics. The dataset contains 2,700 single cells sequencd using Illumina NextSeq 500. The raw sequences have been processed by <a href="https://support.10xgenomics.com/single-cell-gene-expression/software/pipelines/latest/what-is-cell-ranger"><strong>cellranger</strong></a> pipeline from 10X to extract an unique molecular identified (UMI) count matrix.</p> <p> </p>
Comparing Transit Agency Peer Groups using Cluster Analysis-Data
<p>This data is from a 2019 analysis of transit ridership in the United States. The purpose of the analysis was to codify US transit agencies into comparable groups using publicly available data. The data is split into dedicated right of way modes, and mixed right of way modes. </p>
Co-expression clustering across flower development identifies modules for diverse floral forms in Achimenes (Gesneriaceae)
<p>Data and code for the analyses published in:</p> <p>Roberts WR, Roalson EH. 2020. Co-expression clustering across flower development identifies modules for diverse floral forms in <em>Achimenes</em> (Gesneriaceae). <em>PeerJ</em>. In Press.</p>
PAN16 Author Identification: Clustering
<p>We provide a collection of (up to 100) documents to identify authorship links and groups of documents by the same author. All documents are single-authored, in the same language, and belong to the same genre. However, the topic or text-length of documents may vary. The number of distinct authors whose documents are included in the collection is not given.</p> <p>More information: <a href="https://pan.webis.de/clef16/pan16-web/author-clustering.html">Link</a></p>
The Effectiveness of Strengthening primary health care teams with palliative care leaders: a Pragmatic cluster randomized clinical trial
<p>Full dataset of the clinical trial PI14/01336 Effectiveness of Strengthening primary health care teams with palliative care leaders</p>
Cluster-based Table Detection Dataset
<p>This data set contains PDF segments and document features, combined with a label whether a segment is part of a table or not.</p> <p>The contained features are:</p> <ul> <li>file: Corresponding PDF file name</li> <li>page: Page where the cluster is located, starting with 0</li> <li>bbox: Bounding box of the cluster, stored as (x_0,x_1,y_0,y_1)</li> <li>text: This information had to be removed because it can be confidential.</li> <li>n_nodes: Number of layout elements in the cluster</li> <li>approx_size: Approximate number of cells when assuming a tabular cluster structure</li> <li>tabular_fill_score: Percentage of filled cells. This is calculated by building an artificial grid over the cluster and set the cells which would be filled relative to the maximal possible number, namely the approx_size.</li> <li>loop_score: Percentage of loops present in a cluster, relative to the maximal possible number.</li> <li>rectangle_score: Percentage of unique rectangles in a cluster, relative to the maximal possible number (which would be one rectangle per element)</li> <li>x_sparsity_abs: Average length of horizontal edges in a cluster</li> <li>x_sparsity_rel: Average length of horizontal edges in a cluster (i.e. x_sparsity_abs), relative to the horizontal sparsity the same page</li> <li>font_size_entropy: Shannon entropy of the font sizes in a cluster</li> <li>font_name_entropy: Shannon entropy of the font names in a cluster</li> <li>bold_pct: Percentage of bold texts in a cluster</li> <li>italic_pct: Percentage of italic texts in a cluster</li> <li>font_size_entropy_doc: Shannon entropy of the font sizes in a document</li> <li>font_name_entropy_doc: Shannon entropy of the font names in a document</li> <li>bold_pct_doc: Percentage of bold texts in a document</li> <li>italic_pct_doc: Percentage of italic texts in a document</li> <li>font_size_entropy_diff: Deviation of the font size entropy of a cluster (i.e. font_size_entropy) compared to the corresponding measurement on document-level (i.e. font_size_entropy_doc)</li> <li>font_name_entropy_diff: Deviation of the font name entropy of a cluster (i.e. font_name_entropy) compared to the corresponding measurement on document-level (i.e. font_name_entropy_doc)</li> <li>bold_pct_diff: Deviation of the percentage of bold texts in a cluster (i.e. bold_pct) compared to the corresponding measurement on document-level (i.e. bold_pct_doc)</li> <li>italic_pct_doc_diff: Deviation of the percentage of italic texts in a cluster (i.e. italic_pct) compared to the corresponding measurement on document-level (i.e. italic_pct_doc)</li> <li>is_table: Label indicating with 1 that a cluster contains pure table content and 0 otherwise</li> </ul>
Research Data Supporting "Theory and Implementation of a Novel Stochastic Approach to Coupled Cluster"
<p>Research data supporting "Theory and Implementation of a Novel Stochastic Approach to Coupled Cluster". This dataset includes all outputs for diagrammatic Coupled Cluster Monte Carlo simulations on systems of noninteracting hydrogen square replicas, and the double dissociation of water. This dataset also includes all code used to generate, analyse and plot all diagCCMC results.</p>
Data and reproducible scripts for "Distribution of Putative Self-resistance Genes for Antibiotic Biosynthetic Gene Cluster in Actinobacteria"
<p>Data and reproducible scripts for "Distribution of Putative Self-resistance Genes for Antibiotic Biosynthetic Gene Cluster in Actinobacteria"</p>
CGP orthology clustering
<p>Orthology clustering set used on the Caenorhabditis Genomes Project (CGP) website (caenorhabditis.org). </p> <p>This dataset was generated using longest-isoform-filtered proteins from sequenced <em>Caenorhabditis </em>species and Orthofinder (see https://github.com/davidemms/OrthoFinder). </p>
Co-localization and cluster analysis data for paper "Dynamic regulation of CTCF stability and sub-nuclear localization in response to stress"
<p>This datasets contains all data for the co-localization and cluster analysis included in the following paper<br> "Dynamic regulation of CTCF stability and sub-nuclear localization in response to stress"</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.