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324 results for “spatial genetics”
Mapping spatial organization and genetic cell state regulators to target immune evasion in ovarian cancer
<p>This collection of data accompanies the study: <a href="https://www.nature.com/articles/s41590-024-01943-5">Yeh, Aguirre, Laveroni <em>et al.</em> <strong>Mapping spatial organization and genetic cell-state regulators to target immune evasion in ovarian cancer. </strong>(2024). </a><em><strong><a href="https://www.nature.com/articles/s41590-024-01943-5">Nature Immunology</a>.</strong></em> Files are provided in the form of RObjects (extension .rds) or tabulated data (extension .csv) to reproduce the results and figures provided in the paper via the the R programming environment using Code provided <a href="https://github.com/Jerby-Lab/HGSC_SpatialPerturbational">here</a>. </p> <p> </p> <p>Data collected and processed and published as a part of this study of tubo-ovarian high grade serous carcinoma (HGSC) includes: </p> <ul> <li>~<strong>2.5 million single cell spatial transcriptomics profiles</strong> from <strong>130 HGSC tumors</strong> of <strong>94 patients</strong></li> <li>Matching de-identified <strong>clinical annotations</strong> and clinical outcomes.</li> <li>Matching <strong>targeted genomic data</strong> from the bulk tumor tissues.</li> <li><strong>Perturb-seq CRISPR knockout</strong> data in ovarian cancer cells in monoculture and co-culture with Natural Killer (NK) cells.</li> </ul> <p>The spatial transcriptomics, Perturb-Seq, and matched H&E (Hematoxylin & Eosin, where available) are also provided via the Single Cell Portal with an <strong>interactive interface</strong> (<a href="https://singlecell.broadinstitute.org/single_cell/study/SCP2640/hgsc-spatial-cohort-discovery-dataset">SCP2640</a>, <a href="https://singlecell.broadinstitute.org/single_cell/study/SCP2641/hgsc-spatial-cohort-validation-1-dataset">SCP2641</a>, <a href="https://singlecell.broadinstitute.org/single_cell/study/SCP2650/hgsc-spatial-cohort-validation-2-dataset">SCP2650</a>, <a href="https://singlecell.broadinstitute.org/single_cell/study/SCP2644/hgsc-spatial-cohort-test-1-dataset">SCP2644</a>, <a href="https://singlecell.broadinstitute.org/single_cell/study/SCP2646/hgsc-spatial-cohort-test-2-dataset">SCP2646</a>, <a href="https://singlecell.broadinstitute.org/single_cell/study/SCP2707/hgsc-spatial-study-perturb-seq">SCP2707</a>).</p> <p>The collection also includes previously published data that was analyzed and used in this study to examine the generalizability of the findings, evaluate immunotherapy predictors, and for data-driven experimental design.</p> <p>The SeuratObj.zip contains six SeuratObjects matching the five spatial transcriptomcs datasets (Discovery, Validation 1, Validation 2, Test 1 and Test 2) and Perturb-Seq data.</p> <p>The Yeh2024.zip file includes the study's data and additional datasets/results to reproduce the study's figures. A detailed description of the files included in the repository is provided in `README.txt` and `README.xlsx`</p>
Figure 3. A in Historical demography and spatial genetic structure of the subterranean rodent Ctenomys magellanicus in Tierra del Fuego (Argentina)
Figure 3. A, minimum spanning tree of nine mtDNA haplotypes of Ctenomys magellanicus from Tierra del Fuego, Argentina. Areas are proportional to haplotype frequencies, shading indicates populations, and cross hatches represent nucleotide differences between haplotypes. Haplotype numbers correspond to those of Table 1. Abbreviations for populations are given in Figure 1. B, observed and expected mismatch distributions for C. magellanicus (south + north). Dashed line, observed distribution; solid line, theoretical expected distribution under a population expansion model.
Figure 4 in Historical demography and spatial genetic structure of the subterranean rodent Ctenomys magellanicus in Tierra del Fuego (Argentina)
Figure 4. Relationship between pairwise geographical distances and Fst for Ctenomys magellanicus from Tierra del Fuego, based on Fst from mitochondrial control region sequences. The relationship between variables was non-significant (see Results).
Spatial Transcriptomics of Liver tissue with Bcatenin exon3 genetic mutations.
GEO Series GSE230644. Mus musculus; synthetic construct. 179 samples. Type: Expression profiling by high throughput sequencing.
ScienceDex guides
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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.