Skip to main content
Powered by ShareScore

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.

67

datasets available to search

ShareScore release 0.7.1

Reset

Dataset results

67 results for “High accuracy”

Learn how ShareScore rates datasets ↗
ClinicalTrials.gov24/100

Accuracy of 18F-rhPSMA-7.3 PET/ MRI for Prediction of Lymph Node Metastasis in Localized High-Risk Prostate Cancer

ClinicalTrials.gov study NCT06389786. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Precise High Resolution MRI to Increase Accuracy and Gain Confidence to Diagnose Patients With Optic Disc Edema

ClinicalTrials.gov study NCT04448613. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
geo20/100

Machine learning predicts individual cancer patient responses to therapeutic drugs with high accuracy

GEO Series GSE112798. Homo sapiens. 31 samples. Type: Expression profiling by array.

openGEO-OpenApr 2018View details →
geo20/100

Molecular signature with high accuracy for biliary atresia identifies a role for Interleukin-8 in pathogenesis of disease

GEO Series GSE46995. Homo sapiens; Mus musculus. 113 samples. Type: Expression profiling by array.

openGEO-OpenJun 2013View details →
ClinicalTrials.gov20/100

Accuracy of Intraocular Lens Power in High Myopia

ClinicalTrials.gov study NCT03394300. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
geo20/100

High accuracy classification of developmental toxicants by in vitro tests of human neuroepithelial and cardiomyoblast differentiation

GEO Series GSE209962. Homo sapiens. 213 samples. Type: Expression profiling by array.

openGEO-OpenNov 2022View details →
zenodo16/100

Dataset related to article "Assessing the Feasibility and Accuracy of High-resolution Microultrasound Imaging for Bladder Cancer Detection and Staging"

<p>BACKGROUND:</p> <p>Magnetic resonance imaging (MRI) has been proposed as a staging tool for bladder cancer (BC), but its use has been limited by its high costs and limited availability. Microultrasound (mUS) is a novel technology capable of providing high-resolution images of the prostate.</p> <p>OBJECTIVE:</p> <p>To test the feasibility of high-resolution mUS in patients diagnosed with BC and its ability to differentiate between non-muscle-invasive BC (NMIBC) and muscle-invasive BC (MIBC).</p> <p>DESIGN, SETTING, AND PARTICIPANTS:</p> <p>This is an observational prospective study performed in 23 patients with a diagnosis of primary BC scheduled for an endoscopic treatment.</p> <p>SURGICAL PROCEDURE:</p> <p>Micro-US was performed before transurethral resection of bladder tumor using the ExactVu system with an EV29L 29-MHz side-fire transducer (Exact Imaging, Markham, Canada).</p> <p>MEASUREMENTS:</p> <p>The endpoints were to test the feasibility, describe the normal bladder wall anatomy, identify the lesions, and compare the mUS findings with the histopathological results.</p> <p>RESULTS AND LIMITATIONS:</p> <p>Micro-US was accurate in differentiating the three layers of the bladder wall in all cases. Bladder cancers were clearly identified as heterogeneous structures protruding from the normal bladder wall. In 14 cases the lesions appeared confined to the lamina propria, and in all cases NMIBC was confirmed by the final pathological report. In the other patients, the lesions seemed to extend into the muscular layer, but MIBC was confirmed in five out of seven cases (71.4%) from the pathologist. The small sample size was the main limitation of the current study.</p> <p>CONCLUSIONS:</p> <p>Our findings showed that mUS is able to differentiate the bladder wall layers and identify the bladder cancer stage. Further studies with a larger population and imaging correlation with MRI are warranted before its introduction in clinical practice.</p> <p>PATIENT SUMMARY:</p> <p>In this report, a new imaging technique was tested for the characterization of bladder cancer. Microultrasound appears to be feasible and capable of discriminating between superficial and invasive tumors</p>

restrictedMar 2020View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record