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66
datasets available to search
ShareScore release 0.9.0
Dataset results
66 results for “detection technique”
Advanced MR Techniques for Breast Cancer Detection
ClinicalTrials.gov study NCT04020523. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Detection of Paracetamol Concentration in Patients Using Regular Medication- a Validation Study for a Novel Technique
ClinicalTrials.gov study NCT05167591. IPD Sharing: NO. Countries: 0. Publications: 0.
nu-Anomica: A Fast Support Vector Based Anomaly Detection Technique
In this paper we propose $\nu$-Anomica, a novel anomaly detection technique that can be trained on huge data sets with much reduced running time compared to the benchmark one-class Support Vector Machines algorithm. In $\nu$-Anomica, the idea is to train the machine such that it can provide a close approximation to the exact decision plane using fewer training points and without losing much of the generalization performance of the classical approach. We have tested the proposed algorithm on a variety of continuous data sets under different conditions. We show that under all test conditions the developed procedure closely preserves the accuracy of standard one-class Support Vector Machines while reducing both the training time and the test time by 5-20 times.
ν-Anomica: A Fast Support Vector based Novelty Detection Technique
In this paper we propose ν-Anomica, a novel anomaly detection technique that can be trained on huge data sets with much reduced running time compared to the benchmark one-class Support Vector Machines algorithm. In ν-Anomica, the idea is to train the machine such that it can provide a close approximation to the exact decision plane using fewer training points and without losing much of the generalization performance of the classical approach. We have tested the proposed algorithm on a variety of continuous data sets under different conditions. We show that under all test conditions the developed procedure closely preserves the accuracy of standard oneclass Support Vector Machines while reducing both the training time and the test time by 5 − 20 times.
XDF: A Large-Scale Dataset for Evaluating Video Deepfake Detection Across Multiple Manipulation Techniques
Open the record for dataset details and reuse information.
Spectra from "Contribution of MALDI-TOF mass spectrometry and Machine Learning including Deep Learning techniques for the detection of virulence factors of Clostridioides difficile strains"
<p><strong>This database includes spectra from 201 <em>C. difficile </em> (CD) strains :</strong></p> <ul> <li>50 non-toxigenic strains (tcdA- tcdB-) (designated ToxA-B-) belonging to 19 different PR,</li> <li>151 toxigenic strains harbouring toxins A and B genes (ToxA+B+). Among the 151 ToxA+B+ strains, 46 corresponding to 8 different PR also harboured the binary toxin genes (ToxA+B+CDT+) and 105 (23 different PR) did not (ToxA+B+CDT-).</li> <li>Among the 46 ToxA+B+CDT+ strains, 22 belonged to the Hv strains i.e. PR 027 (n=13), PR 176 (n=5) and PR 181 (n=4) strains (ToxA+B+CDT+Hv) (Table S1). </li> </ul> <p><strong>Sample preparation.</strong> Each isolate stored at −80°C (Microbank; Pro-Lab Diagnostics) was thawed and cultivated on Columbia Blood Agar (CBA, bioMérieux) incubated in anaerobic atmosphere at 37°C for 48 hours. A subculture was performed in the same conditions. A chemical protein extraction was then carried out. Briefly, a single colony was suspended in 200 µl water and vortexed. After adding 900 µl ethanol, samples were vortexed and centrifuged at 13,000 × g for 2 minutes. The supernatant was removed, and the remaining ethanol was evaporated at room temperature. Next, 25 µl of 70% formic acid was added and mixed with the pellet, then 25 µl of acetonitrile was added. After centrifugation at 13,000 × g for 2 minutes, the supernatant was ready for analysis. <strong>Eight deposits were performed for each isolate.</strong> The dried spots were coated with 1 µl of α-cyano-4-hydroxycinnamic acid (a-HCCA) in 50% acetonitrile-2.5% trifluoroacetic acid and <strong>each spot was analysed three times by MALDI-TOF MS</strong>.</p> <p><br> <strong>MALDI-TOF MS acquisition and analysis.</strong> Mass spectra were acquired using a Microflex LT instrument (Bruker Daltonics). The standard parameters of the CE-IVD method recommended by the manufacturer were used. This instrument was equipped with an N2 laser (377 nm) using the following parameters: mass range, 2,000 to 20,000 Da; ion source 1, 20 kV; ion source 2, 18.15 kV; lens, 6 kV; pulsed ion extraction, 150 ns; laser frequency, 20 Hz. A manual external calibration standard (Bacterial Test Standard; Bruker Daltonics) was used for calibration. Data acquisition was performed using FlexControl (version 3.0; Bruker Daltonics).</p> <p><br> <strong>A total of 4659 spectra were produced. </strong></p> <p><strong>Fore more details: please contact alexandre.godmer@aphp.fr</strong><br> </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.