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.
69
datasets available to search
ShareScore release 0.9.0
Dataset results
69 results for “image sequence”
Magnetic Resonance Imaging (MRI) Sequences Optimization in Healthy Subjects
ClinicalTrials.gov study NCT02900339. IPD Sharing: NO. Countries: 1. Publications: 0.
An Optically Decodable Bead Array for Linking Imaging and Sequencing with Single-Cell Resolution
GEO Series GSE116011. synthetic construct; Homo sapiens; Mus musculus. 11 samples. Type: Expression profiling by high throughput sequencing.
Implementation of Work in Progress (WIP) Sequences in Magnetic Resonance Imaging (MRI)
ClinicalTrials.gov study NCT01019226. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Integration of Imaging-based and Sequencing-based Spatial Omics Mapping on the Same Tissue Section via DBiTplus
GEO Series GSE308167. Homo sapiens; Mus musculus. 10 samples. Type: Other.
Diamond Throne image sequence [chapter 14] 29/04/2020
<p><em>Precious Treasures from the Diamond Throne</em> (London: British Museum Press, 2020), image sequence 29/04/2020.</p>
Optical imaging and single-cell RNA sequencing reveal individual heterogeneity in pancreatic cells that supports global function
<p>Islets, micro-organs critical for glucose homeostasis, exhibit significant genetic diversity among their cells, which is hypothesized to underpin their functional repertoire. Our study investigated the heterogeneity in glucose-induced excitability within islet cells, providing a cellular basis for their roles in glucose-responsive hormone secretion. To comprehensively map glucose-induced excitability profiles, we developed SHIMMER, a high-throughput, multimodal data acquisition platform that integrates electrical signals, Ca2+ fluxes, and single-cell sequencing data. By quantifying the non-stationary electrical and calcium signal dynamics, we formulated a machine learning-based electro-calcium model that shows how variations in membrane conductance and Ca2+ clearance contribute to increased heterogeneity in cytosolic Ca2+ accumulation. Using SHIMMER for single-cell sequencing on representative cells, we identified genes such as <em>Cacnb2</em> and <em>Arpp19</em>, that associated with electro-calcium characteristics, and found <em>Clec4d</em> as a potential marker for a highly excitable cell subpopulation. These findings indicate that islet cells tend to exhibit a large heterogeneity in glucose-induced excitability, being essential for their normal functioning.</p>
Optical imaging and single-cell RNA sequencing reveal individual heterogeneity in pancreatic cells that supports global function
<p>Our study investigated the heterogeneity in glucose-induced excitability within islet cells, providing a cellular basis for their roles in glucose-responsive hormone secretion. To comprehensively map glucose-induced excitability profiles, we developed SHIMMER, a high-throughput, multimodal data acquisition platform that integrates electrical signals, Ca2+ fluxes, and single-cell sequencing data. By quantifying the non-stationary electrical and calcium signal dynamics, we formulated a machine learning-based electro-calcium model that shows how variations in membrane conductance and Ca2+ clearance contribute to increased heterogeneity in cytosolic Ca2+ accumulation. Using SHIMMER for single-cell sequencing on representative cells, we identified several genes that associated with electro-calcium characteristics, and found a potential marker for a highly excitable cell subpopulation. These findings indicate that islet cells tend to exhibit a large heterogeneity in glucose-induced excitability, being essential for their normal functioning.</p> <p>This dataset include all processed data we mentioned in our paper, the code were uploaded on https://github.com/CullinanLi/heterogeneity-in-pancreatic-islet-cells, with the same folder name, if we missed anything, please feel free to contact the lead contact.</p>
Diamond Throne image sequence [chapter 01] 29/04/2020
<p><em>Precious Treasures from the Diamond Throne</em> (London: British Museum Press, 2020), image sequence [chapter 01] 29/04/2020.</p>
in-situ-sequencing image segmentation
Open the record for dataset details and reuse information.
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.