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1,007
datasets available to search
ShareScore release 0.9.0
Dataset results
1,007 results for “single use”
PHLOWER - Single cell trajectory analysis using Decomposition of the Hodge Laplacian [multiome]
GEO Series GSE302266. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Identification of important genes for tooth development using single cell RNA-sequence datasets of sequential developing mouse molars
GEO Series GSE260975. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Characterization of small intestine innate lymphoid cells of WT (Batf fl/fl) and cKO (Batf fl/fl Plzf cre+) mice using single cell RNA sequence [scRNA-seq]
GEO Series GSE168077. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Construction of earthworm chromatin accessibility landscape at a single-cell level using CH-ATAC-seq
GEO Series GSE232272. Eisenia andrei. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Comparison of differential gene expression in blood PBMCs from healthy controls, patients with rheumatoid arthritis,and patients with lupus using single-cell transcriptome sequencing analysis.
GEO Series GSE266852. Homo sapiens. 10 samples. Type: Expression profiling by high throughput sequencing.
Data set for thermal transport study in single-band Hubbard Model using DQMC: Lorenz number and Wiedemann-Franz law
<p>Data set for thermal transport study in single-band Hubbard Model using DQMC: Lorenz number and Wiedemann-Franz law</p> <p>Labeling in plots are slightly different with the preprint paper.</p>
Dataset related to article "Use of high-resolution micro-ultrasound to predict extraprostatic extension of prostate cancer prior to surgery: a prospective single-institutional study "
<p>This record contains raw data related to article “Use of high-resolution micro-ultrasound to predict extraprostatic extension of prostate cancer prior to surgery: a prospective single institutional study"</p> <p><strong>Purpose: </strong> We aim to evaluate the accuracy of micro-ultrasound (microUS) in predicting extraprostatic extension (EPE) of Prostate Cancer (PCa) prior to surgery.</p> <p><strong>Methods: </strong> Patients with biopsy-proven PCa scheduled for robot-assisted radical prostatectomy (RARP) were prospectively recruited. The following MRI-derived microUS features were evaluated: capsular bulging, visible breach of the prostate capsule (visible extracapsular extension; ECE), presence of hypoechoic halo, and obliteration of the vesicle-prostatic angle. The ability of each feature to predict EPE was determined.</p> <p><strong>Results: </strong> Overall, data from 140 patients were examined. All predictors were associated with non-organ-confined disease (p < 0.001). Final pathology showed that 79 patients (56.4%) had a pT2 disease and 61 (43.3%) ≥ pT3. Rate of non-organ-confined disease increased from 44% in those individuals with only 1 predictor (OR 7.71) to 92.3% in those where 4 predictors (OR 72.00) were simultaneously observed. The multivariate logistic regression model including clinical parameters showed an area under the curve (AUC) of 82.3% as compared to an AUC of 87.6% for the model including both clinical and microUS parameters. Presence of ECE at microUS predicted EPE with a sensitivity of 72.1% and a specificity of 88%, a negative predictive value of 80.5% and positive predictive value of 83.0%, with an AUC of 80.4%.</p> <p><strong>Conclusions: </strong> MicroUS can accurately predict EPE at the final pathology report in patients scheduled for RARP.</p>
Single-molecule fingerprinting of protein-drug interaction using a funneled biological nanopore
<p>This dataset belongs to “Single-molecule fingerprinting of protein-drug interaction using a funneled biological nanopore” and describes the raw micrograph dataset from negative-stain electron microscopy for YaxAB-C8, -C9, -C10.</p>
dataset for "Rapid Prediction of Liquid Structure from a Single Molecular Configuration Using Deep Learning"
<p>The data sets are used to train, validate, and test the PointNet-MD model for rapid prediction of radial distribution functions for different liquids. Details about this work can be found in the <a href="https://pubs.acs.org/doi/10.1021/acs.jcim.3c00472">paper</a> entitled <a href="https://pubs.acs.org/doi/10.1021/acs.jcim.3c00472"><em><span>Rapid Prediction of a Liquid Structure from a Single Molecular Configuration Using Deep Learning</span></em></a>. </p>
Single Patient Compassionate Use / Expanded Access L-S-Gboxin (Lyophilized Form of S-Gboxin) for the Treatment of Diffuse Midline Glioma
ClinicalTrials.gov study NCT06439849. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Single Patient Use of Selinexor and Dexamethasone for a Patient With Multiple Myeloma
ClinicalTrials.gov study NCT03850704. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Provide Pre-approval Single Patient Expanded Access (Compassionate Use) of Etrasimod for Patients.
ClinicalTrials.gov study NCT06025227. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Provide Pre-approval Single-patient Expanded Access (Compassionate Use) of VYD222 for Patients With Symptomatic COVID-19 Refractory to Other Treatments
ClinicalTrials.gov study NCT06004128. IPD Sharing: Not stated. Countries: 0. Publications: 0.
A single cell analysis of allograft rejection and tolerance using mouse solid organ transplantation models
GEO Series GSE189069. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
Comprehensive Human Embryogenesis Reference Tool using Single-Cell RNA-Sequencing Data
GEO Series GSE254641. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.
Single-Cell Barcoded Lineage Tracing using KP4 PDA Cell Line - Pre and Post Drug Treatment with Trametinib
GEO Series GSE292402. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Quantitative profiling of DNA 6mA at single-base resolution using NAME-seq
GEO Series GSE215170. Homo sapiens; Helicobacter pylori; Escherichia coli; Chlamydomonas reinhardtii. 33 samples. Type: Methylation profiling by high throughput sequencing.
Understanding the transcriptional consequences of the Progeria LmnaG609G mutation within the immune compartment of the lung using single cell RNA sequencing.
GEO Series GSE183249. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Osteogenic Differentiation Potential of Mesenchymal Stem Cells using Single Cell Multiomic Analysis
GEO Series GSE255646. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Adverse Health Effects of Cylindrospermopsin in Laboratory Animal (mouse) Studies in Single Day Study using Illumina Array
GEO Series GSE83197. Mus musculus. 88 samples. Type: Expression profiling by array.
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.