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.
414
datasets available to search
ShareScore release 0.9.0
Dataset results
414 results for “Generative Model”
Generation of matched patient-derived xenograft in vitro-in vivo models using 3D macroporous hydrogels for the study of liver cancer
GEO Series GSE109955. Homo sapiens. 50 samples. Type: Expression profiling by high throughput sequencing; Genome variation profiling by high throughput sequencing.
Next generation sequencing for miRNA profile of bone marrow mesenchymal stem cells through establishing exercise rat model by treadmill running experiment
GEO Series GSE168712. Rattus norvegicus. 6 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Modelling human pre-gastulation development by 3D culture of blastoids generated from the primed-to-naive transitioning intermediates [scRNA-seq]
GEO Series GSE200934. Homo sapiens. 1 samples. Type: Expression profiling by high throughput sequencing.
Signaling Induced Plasticity Enables Transgene-Free Generation of Mouse Post-Gastrulation Whole Embryo Models Solely from Naïve ESCs and iPSCs (ii)
GEO Series GSE294690. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Generation of Stem Cell-Derived Kupffer Cells for Application in Human In Vitro Inflammatory Liver Model
GEO Series GSE99734. Homo sapiens. 9 samples. Type: Expression profiling by array.
Pri-miRNA identification by generating a Drosha null/conditional-null mouse model.
GEO Series GSE55735. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Restoration of Progranulin Expression Rescues Cortical Neuron Generation in Induced Pluripotent Stem Cell Model of Frontotemporal Dementia
GEO Series GSE60902. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Generation of matched patient-derived xenograft in vitro-in vivo models using 3D macroporous hydrogels for the study of liver cancer [WES]
GEO Series GSE109954. Homo sapiens. 22 samples. Type: Genome variation profiling by high throughput sequencing.
Modelling human pre-gastulation development by 3D culture of blastoids generated from the primed-to-naive transitioning intermediates
GEO Series GSE200935. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Next generation sequence of RNA in hematoma basal ganglia tissue of ICH mice model
GEO Series GSE206971. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
Generation of transcriptome catalogs for global analysis of gene expression in non-model organisms
GEO Series GSE14276. Vitis vinifera. 3 samples. Type: Expression profiling by array.
Next generation sequencing based transcriptome comparison between wild-type Drosophila and an Alzheimer's disease model
GEO Series GSE109489. Drosophila melanogaster. 24 samples. Type: Expression profiling by high throughput sequencing.
Efficient generation of human CA3 neurons and modeling hippocampal neuronal connectivity in vitro
GEO Series GSE111979. Homo sapiens. 528 samples. Type: Expression profiling by high throughput sequencing.
An experimental model for ovarian cancer: Propagation of ovarian cancer initiating cells and generation of ovarian cancer organoids
GEO Series GSE201206. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
Deep learning models for generation of precipitation maps based on NWP Data
<p>Numpy arrays used in the paper "Deep learning models for generation of precipitation maps based on NWP".</p> <p>trn = training set<br> vld = validation set<br> tst = test set<br> x = COSMO-DE-EPS ensemble statistics<br> y = high definition radar precipitation<br> t = time<br> c = COSMO-DE-EPS precipitation prediction</p>
An Improved Model Predictive Control for the Virtual Synchronous Generator Based on Modular Multilevel Converters
Open the record for dataset details and reuse information.
Combining Large Language Models with Static Analyzers for Code Review Generation
Open the record for dataset details and reuse information.
Supporting data to A process-based model to track water pollutant generation at high resolution and its pathway to discharge
<p>This dataset includes parameters for point sources (industrial production, residential and commercial consumption) and activity data for artificial drainage activities. Please see the publication for more details.</p>
Generation and Validation of Predictive Models for Localized Prostate Cancer Treated With External Radiotherapy.
ClinicalTrials.gov study NCT06092918. IPD Sharing: NO. Countries: 0. Publications: 0.
Trueness of Full Arch Scans and Generated Digital Implant Models
ClinicalTrials.gov study NCT06281002. IPD Sharing: Not stated. Countries: 0. Publications: 0.
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.