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.
368
datasets available to search
ShareScore release 0.9.0
Dataset results
368 results for “imaging system”
Efficacy and Safety of Gadopiclenol for Central Nervous System (CNS) Magnetic Resonance Imaging (MRI)
ClinicalTrials.gov study NCT03996447. IPD Sharing: Not stated. Countries: 11. Publications: 1.
Efficacy of the Third Eye Retroscope Auxiliary Imaging System
ClinicalTrials.gov study NCT00657371. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Study to Investigate the Ability of [11C]Donepezil PET to Image the Parasympathetic Nervous System
ClinicalTrials.gov study NCT01877538. IPD Sharing: NO. Countries: 1. Publications: 1.
The PIONEER-01 Study of the Imagio Breast Imaging System
ClinicalTrials.gov study NCT01943916. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Next Generation X-ray Imaging System
ClinicalTrials.gov study NCT04571099. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Multimodal Imaging Diagnosis and Decision Aid System for Hepatic Echinococcosis Based on Image Omics and Vision Macromodel
ClinicalTrials.gov study NCT06540742. IPD Sharing: NO. Countries: 1. Publications: 1.
Dose Finding Study of Gadavist in Central Nervous System (CNS) Magnetic Resonance Imaging (MRI)
ClinicalTrials.gov study NCT00862459. IPD Sharing: Not stated. Countries: 4. Publications: 1.
Single molecule image sequences of Thermothielavioides terrestris AA9E (TtAA9E) on cellulose in oxygen scavenging systems
Open the record for dataset details and reuse information.
Avian-eye-inspired perovskite artificial vision system for foveated and multispectral imaging
Open the record for dataset details and reuse information.
Mapping built infrastructure in semi-arid systems using data integration and open-source approaches for image classification
Open the record for dataset details and reuse information.
Data from: 3-D deconvolution of human skin immune architecture with Multiplex Annotated Tissue Imaging System (MANTIS)
Open the record for dataset details and reuse information.
Data from: Quantitative single-molecule FLIM and PIE-FRET imaging of biomolecular systems
Open the record for dataset details and reuse information.
Neutron imaging of liquid-liquid systems containing paramagnetic salt solutions
<p>This repository contains data related to the publication: Appl. Phys. Lett. 116, 022405 (2020); doi: 10.1063/1.5135390</p> <p>The neutron images of Figs. 2-4 and the supplementary material are included in the respective folders.</p>
Zooplankton imaging with the Lightframe On-sight Keyspecies Investigation (LOKI) system
<p>A video presentation on how to build detailed automatic identification models from LOKI zooplankton imagery and how to validate them as well as an introduction to the double filtering algorithm that was developed in our lab. Concluding with some ecological data. This presentation was recorded for the 5ème Rencontre des Technologies Marines.</p> <p>https://projets.dt.insu.cnrs.fr/formations/2014_techmar/</p>
Mapping Enzyme Activity in Living Systems by Real-Time Mid-Infrared Photothermal Imaging of Nitrile Chameleons
Open the record for dataset details and reuse information.
Examples of misclassified images of papilledema severity by the Deep Learning System
<p>The study's objective is to evaluate the performance of a deep learning system (DLS) in classifying the severity of papilledema associated with increased intracranial pressure, on standard retinal fundus photographs.</p> <p>A DLS was trained to automatically classify papilledema severity in 965 patients (2103 mydriatic fundus photographs), representing a multiethnic cohort of patients with confirmed elevated intracranial pressure. Training was performed on 1052 photographs with mild/moderate papilledema (MP) and 1051 photographs with severe papilledema (SP) classified by a panel of experts, and the performance of the DLS was tested in 111 patients (214 photographs, 92 with MP and 122 with SP).</p> <p>In this dataset, we provide illustrative examples of misclassified images by the DLS, two examples of images wrongly classified as moderate papilledema instead of severe (figure 1A and 1B), and two examples of images wrongly classified as severe papilledema instead of moderate (figure 2A and 2B).</p> <p>Unsurprisingly, DLS errors occurred more often in patients with moderate papilledema (Frisén 3 severity), a situation already encountered in clinical studies.</p>
Raw images, annotations, and vvipr code archive to support 'Evaluating thermal and color sensors for automating detection of penguins and pinnipeds in images collected with an unoccupied aerial system''
<p>Images, annotations, and code archived here were used in the paper "Evaluating a machine learning approach to detect penguins and pinnipeds in thermal and color images collected with an unoccupied aerial system" submitted for publication in Drones. The files contain raw thermal and color images of aggregations of gentoo (<em>Pygoscelis papua</em>) and chinstrap (<em>P. antarcticus</em>) penguins and Antarctic fur seals (<em>Arctocephalus gazella</em>). All images were collected with the Flir DuoPro R camera (Teledyne FLIR LLC, Wilsonville, OR, U.S.A.), carried into flight under an APH-28 hexacopter (Aerial Imaging Solutions, LLC, Old Lyme, CT, U<strong>.</strong>S<strong>.</strong>A<strong>.)</strong> at Cape Shirreff, Livingston Island, Antarctica (60.79 °W, 62.46 °S), during the austral summer of 2019-20. All aerial surveys occurred under the Marine Mammal Protection Act Permit No. 20599 granted by the Office of Protected Resources/National Marine Fisheries Service, the Antarctic Conservation Act Permit No. 2017-012, NMFS-SWFSC Institutional Animal Care and Use Committee Permit No. SWPI 2014-03R, and all domestic and international UAS flight regulations. The annotations of the images were conducted using VIAME desktop software (v 0.16.1 or later;<a href="https://github.com/VIAME/VIAME">https://github.com/VIAME</a>) or the online using the DIVE interface (https://viame.kitware.com/). Model results were assessed with the vvipr code (v.0.3.2), archived here and available online (https://github.com/us-amlr/vvipr/releases/tag/v0.3.2).</p> <p> </p>
Cosegmentation for Plant Phenotyping+ (CosegPP+) Data Repository Collected Via a High-Throughput Imaging System
<p>CosegPP+ is an extension of CosegPP (https://doi.org/10.5281/zenodo.5117176) with binary masks for a collection of cosegmentation and segmentation algorithms. </p> <p>We thank Vincent Stoeger for acquiring the dataset using LemnaTec at the University of Nebraska-Lincoln.</p> <p>If you use this dataset, please cite this paper:</p> <table> <tbody> <tr></tr> <tr> <td> <div>Quiñones, R., Samal, A., Das Choudhury, S., & Muñoz-Arriola, F. (2023). OSC-CO2: coattention and cosegmentation framework for plant state change with multiple features. <em>Frontiers in Plant Science</em>, <em>14</em>, 1211409.</div> </td> </tr> <tr> <td> </td> </tr> </tbody> </table> <p> </p>
'The Canon' (Heidelbergensis Palatinus gr. 281, fol. 173 v—public domain image) and the structure of the Hypolydian Unchanging Perfect System.
<p>The Canon’ (Heidelbergensis Palatinus gr. 281, fol. 173 v—<a href="https://digi.ub.uni-heidelberg.de/diglit/cpgraec281/0356">public domain image</a>) and the structure of the Hypolydian Unchanging Perfect System –– Figure 6 from Lynch forthcoming, <em>Unlocking the Riddles of Imperial Greek Melodies I: the “Lydian” Metamorphosis of the Classical Harmonic System.</em></p> <p>Licensed<em> </em>under CC-BY-NC-ND</p>
Characterizing Inter-Annual/Seasonal Dust Deposition and Removal on Mars Using Thermal Emission Imaging System (THEMIS) Infrared Data
<p>Included in the zipped data file are two subfolders that contain the following:</p> <ol> <li>KRC thermal model look up table data used in the work</li> <li>Data for figures within the paper</li> </ol> <p>Each subfolder includes a text file with helpful information for interpreting the data.</p>
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.