Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
391
datasets available to search
ShareScore release 0.9.0
Dataset results
391 results for “Spatial analysis”
Spatial transcriptomics analysis of urticarial rash skin from patients with Schnitzler syndrome
GEO Series GSE292123. Homo sapiens. 10 samples. Type: Other.
Sex-determining 3D regulatory hubs revealed by genome spatial auto-correlation analysis [Hi-C]
GEO Series GSE217616. Mus musculus. 8 samples. Type: Other.
Sex-determining 3D regulatory hubs revealed by genome spatial auto-correlation analysis
GEO Series GSE217618. Mus musculus. 34 samples. Type: Other; Expression profiling by high throughput sequencing.
Spatial transcriptome analysis of muscle sections from Icos-/- NOD mice with established myositis
GEO Series GSE262352. Mus musculus. 26 samples. Type: Other.
Spatially resolved transcriptomic analysis of acute kidney injury in a female murine model
GEO Series GSE182939. Mus musculus. 5 samples. Type: Expression profiling by high throughput sequencing.
Time-series spatial transcriptomic analysis of murine colon undergoing AOM-DSS tumorigenesis with and without LXR activation
GEO Series GSE227598. Mus musculus. 5 samples. Type: Other.
Data for the article titled "Multi-omics analysis characterizes the spatial architecture of glioblastoma ecosystems"
<p>Data archive for the article titled "Multi-omics analysis characterizes the spatial architecture of glioblastoma ecosystems"</p>
FIGURE 1 in Spatial richness analysis and an evaluation of extinction risk for the genus Pachyphytum (Crassulaceae), with the description of a new species from Sierra Madre Occidental, Mexico
FIGURE 1. Diversity and distribution of the genus Pachyphytum in Mexico. Biogeographic provinces according to Morrone et al. (2017).
Spatial transcriptomics analysis of normal lung tissues, precursor lung lesions and invasive lung adenocarcinomas
GEO Series GSE307534. Homo sapiens. 56 samples. Type: Other.
Integrative single-cell transcriptome analysis of human pancreatic cancer reveals an intermediate cancer cell population associated with poor prognosis [Spatial]
GEO Series GSE235315. Homo sapiens. 7 samples. Type: Other.
Gingival spatial analysis reveals geographic immunological variation in a microbiota-dependent and -independent manner [scRNA-seq]
GEO Series GSE269575. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Spatial and Temporal Analysis of Gene Expression During Growth and Fusion of the Mouse Facial Prominences
GEO Series GSE7759. Mus musculus. 112 samples. Type: Expression profiling by array.
Integrated Spatial Analysis Reveals the Molecular Landscape of Ovarian Precancerous Lesions
GEO Series GSE298031. Homo sapiens. 446 samples. Type: Other.
Bulk and spatially resolved transcriptional analysis of hearts from mice flown on the RR-3
The Rodent Research-3 (RR-3) mission was sponsored by the pharmaceutical company Eli Lilly and Co. and the Center for the Advancement of Science in Space to study the effectiveness of a potential countermeasure for the loss of muscle and bone mass that occurs during spaceflight. Twenty BALB/c, 12-weeks old female mice (ten controls and ten treated) were flown to the ISS and housed in the Rodent Habitat for 39-42 days. Twenty mice of similar age, sex and strain were used for ground controls housed in identical hardware and matching ISS environmental conditions. Basal controls were housed in standard vivarium cages. Spaceflight, ground controls and basal groups had blood collected, then were euthanized, had one hind limb removed, and finally whole carcasses were stored at -80 C until dissection. All mice in this data set received only the control/sham injection. Spatially resolved transcriptional profiles were generated from hearts from three flight and three ground control animals as follows. Hearts were cryosectioned longitudinally onto an array of capture probes that bind RNA, fixed, stained and visualized. Heart sections were then permeabilized to release RNA onto the capture probes, and cDNA synthesized on the chip so that its spatial arrangement is encoded within a set of molecular barcodes. cDNA was then released and sequenced. Four to five levels of each heart was analyzed in this manner to allow a 3D reconstruction of the transcriptome. In addition, bulk RNA-seq (ribodepleted, target depth of 60 M clusters, PE 150 bp) was performed from a pool of RNA extracted from 10-20 sections from each of 3 flight and 2 ground control samples.
SPATIALLY ADAPTIVE SEMI-SUPERVISED LEARNING WITH GAUSSIAN PROCESSES FOR HYPERSPECTRAL DATA ANALYSIS
SPATIALLY ADAPTIVE SEMI-SUPERVISED LEARNING WITH GAUSSIAN PROCESSES FOR HYPERSPECTRAL DATA ANALYSIS GOO JUN * AND JOYDEEP GHOSH* Abstract. A semi-supervised learning algorithm for the classification of hyperspectral data, Gaussian process expectation maximization (GP-EM), is proposed. Model parameters for each land cover class is first estimated by a supervised algorithm using Gaussian process regressions to find spatially adaptive parameters, and the estimated parameters are then used to initialize a spatially adaptive mixture-of-Gaussians model. The mixture model is updated by expectationmaximization iterations using the unlabeled data, and the spatially adaptive parameters for unlabeled instances are obtained by Gaussian process regressions with soft assignments. Two sets of hyperspectral data taken from the Botswana area by the NASA EO-1 satellite are used for experiments. Empirical evaluations show that the proposed framework performs significantly better than baseline algorithms that do not use spatial information, and the results are also better than any previously reported results by other algorithms on the same data.
Spatial transcriptomic analysis of transplanted vascularized lung organoids
GEO Series GSE296429. Homo sapiens. 1 samples. Type: Other.
A Comprehensive Proteogenomic and Spatial Analysis of Innate and Acquired Resistance of Metastatic Melanoma to Immune Checkpoint Blockade Therapies
GEO Series GSE273583. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.
Differential expression analysis in single cell and spatial RNASeq without model assumptions
GEO Series GSE299816. Mus musculus. 1 samples. Type: Other.
Spatial transcriptomics analysis of mouse liver tissue during Alcohol-associated liver disease development and resolution
GEO Series GSE304111. Mus musculus. 1 samples. Type: Other.
Multi-omic and spatial analysis of mouse kidneys highlights sex-specific differences in gene regulation across the lifespan
GEO Series GSE286051. Mus musculus. 4 samples. Type: Other.
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.