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Dataset results
105 results for “HEP”
Convergent approaches to AI Explainability for HEP muonic particles pattern recognition Dataset
<p>Dataset associated to the publication "Convergent approaches to AI Explainability for HEP muonic particles pattern recognition", Leandro Maglianella, Lorenzo Nicoletti, Stefano Giagu*, Christian Napoli, and Simone Scardapane, submitted to Computing and Software for Big Science.</p> <p>*corresponding author: stefano.giagu [AT] uniroma1.it</p> <p>Description:</p> <p>provided as a compressed zip file. Contains 7 numpy .npy files:</p> <ul> <li>train_images_with_noise.npy: numpy array containing 850003 "images" of muonic tracks with detector noise (shape (850003, 9, 384)). Each image contains 1 muonic track.</li> <li>train_images_without_noise.npy: numpy array containing 850003 "images" of muonic tracks w/o detector noise (shape (850003, 9, 384)). Each image contains 1 muonic track.</li> <li>train_labels.npy: labels associated to each image (shape (850003, 5)), corresponding to (pT, eta, phi, 0, nhits) of the muonic track, with pT: transverse momentum, eta: pseudo-rapidity, phi: azimuthal angle, and nhits: the number of pixels turned on by the muon</li> <li>test_images_with_noise.npy: same as above for a 94445 images test set</li> <li>test_images_without_noise.npy: same as above for a 94445 images test set</li> <li>test_labels.npy: same as above for a 94445 images test set</li> <li>images_only_noise.npy: numpy array containing 944448 "images" w/o muons, containing detector noise only (shape (944448, 9, 384))</li> </ul>
Dataset: D-Market Elektronik Hizmetler ve Ticaret A.S. (HEPS) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
First results of online compression of HEP data using Baler
<p>Within the framework of the HiDA Trilateral Data Science Exchange Program, this internship project unveils preliminary findings on online compression using Baler. It involved the examination of various datasets of different sizes from the High Energy Physics (HEP) domain to evaluate compression performance. All datasets used are subsets of the jet data recorded by the CMS experiment at the LHC in 2012, released as open data under the Creative Commons CC0 waiver (see references). The data is modified (flattened, truncated, formatted, etc.) and packaged in a way that makes it easy for others to reproduce the results. The provided files in this page include comprehensive instructions for replicating the project's results, as well as datasets and outcomes. Below, you'll find a brief overview of the project's folder structure, categorized by the dataset utilized (small dataset/example CMS data/larger CMS data), the online/offline compression method, and resource utilization, particularly regarding GPU usage.</p> <p>Presentations summarizing this project's results can be found here: https://zenodo.org/record/8326707.</p> <p><strong>Project's folders:</strong></p> <ol> <li> <p><strong>Reproduction Instructions</strong>: This folder houses all files that offer detailed guidelines for replicating the project's presented results. These files serve as a reference for accessing relevant materials.</p> </li> <li> <p><strong>GPU with Example CMS Data.zip</strong>: This directory contains all files related to offline compression of the approximately 100MB example CMS dataset provided by Baler. GPU resources were employed in the model training process.</p> </li> <li> <p><strong>GPU with Larger CMS Data (1).zip</strong>: In this section, you'll find files associated with the compression of a larger CMS dataset, approximately 1.4GB in size. It includes results of offline compression and a split of the dataset into a 50/50 ratio for training and testing, with results provided for various epochs.</p> </li> <li> <p><strong>GPU with Larger CMS Data (2)</strong>: This folder holds the larger dataset, divided into two halves, with the first half's array values in one file and the second half's in another.</p> </li> <li> <p><strong>Offline/Online on Small Dataset</strong>: Here, you'll find files related to both offline and online compression of a small dataset, roughly 100KB in size, extracted from the example CMS dataset provided by Baler.</p> </li> <li> <p><strong>Modifications of Small Dataset</strong>: This section comprises variations of the small dataset, including both normalized and un-normalized datasets.</p> </li> <li> <p><strong>Materials</strong>: This folder includes fundamental papers and summaries to enhance your understanding of the project.</p> </li> <li> <p><strong>HiDA</strong>: Within this directory, you'll find a printed webpage from the HiDA program.</p> </li> </ol>
Geant4 simulation of ARASE HEP instrument calibration
<p>This dataset created for the calibration of ARASE HEP instruments. The Geant4 particle simulation results contained in this data. The format of this data is root. The root analysis tool needs to be required to see this data.<br> </p>
Safety of DTaP-IPV-Hep B-PRP~T Combined Vaccine Compared to Tritanrix-HepB/Hib™ and OPV Given at Age 2, 4, and 6 Months.
ClinicalTrials.gov study NCT00313911. IPD Sharing: Not stated. Countries: 2. Publications: 1.
Comparison of DTaP-IPV-Hep B-PRP~T Combined Vaccine to CombAct-HIB® Concomitantly Given With Engerix B® Paediatric and OPV
ClinicalTrials.gov study NCT00362336. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Liver Cancer Prevention Trial in Patients With Chronic Hep C Infection
ClinicalTrials.gov study NCT00513461. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Study of DTaP-IPV-Hep B-PRP~T Combined Vaccine Compared With PENTAXIM™ and ENGERIX B® PEDIATRICO in Argentinean Infants
ClinicalTrials.gov study NCT00831311. IPD Sharing: Not stated. Countries: 1. Publications: 1.
HYPPO product files from GAN optimization for HEP event simulations
<p>Contain the entirety of all the results obtained for the optimization of Generative Adversarial Network (GAN) models for high-energy physics simulations, using the HYPPO hyperparameter optimization software. All runs were executed on the NERSC's Cori cluster.</p>
Immunogenicity, Safety and Tolerability of a Fully Liquid Pentavalent (DTwP-Hib-Hep B) Vaccine in Infants 6-8 Weeks of Age
ClinicalTrials.gov study NCT01470287. IPD Sharing: Not stated. Countries: 1. Publications: 1.
CoV-Hep Study: Regional Anticoagulation Modalities in Continuous Venous Venous Hemodialysis in Patients With COVID-19
ClinicalTrials.gov study NCT04487990. IPD Sharing: NO. Countries: 1. Publications: 2.
SSM vs HEP in Late-Life Depression
ClinicalTrials.gov study NCT03564041. IPD Sharing: NO. Countries: 1. Publications: 1.
In-person and Online Healthy Eating Promotion Through Self-regulation (HEP-S)
ClinicalTrials.gov study NCT04099498. IPD Sharing: NO. Countries: 1. Publications: 5.
Evaluate Immune Response Approximately 5 to 6 Years After Receiving Different Formulations of GSK Bio Hep B Vaccine
ClinicalTrials.gov study NCT00329576. IPD Sharing: YES. Countries: 3. Publications: 1.
The Feasibility of Telehealth HEP for CP (HEP: Home Exercise Program), (CP: Cerebral Palsy)
ClinicalTrials.gov study NCT04423653. IPD Sharing: NO. Countries: 1. Publications: 5.
RCT of MBCT vs HEP for Late-Life Depression
ClinicalTrials.gov study NCT05366088. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Mindfulness and HEP in Dialysis Patients With Depression and Anxiety
ClinicalTrials.gov study NCT03406845. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
The HEP-OKS Study - Hemifield Eye Patching and Optokinetic Stimulation to Treat Hemispatial Neglect in Stroke Patients
ClinicalTrials.gov study NCT01617343. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Ezrin Peptide (HEP-1) for Treatment of Coronavirus Disease (COVID-19) Infection
ClinicalTrials.gov study NCT04627233. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Pilot Feasibility Study of a Cognitive Behavioral Coping Skills (CBCS) Group Intervention for Hep C Therapy Patients
ClinicalTrials.gov study NCT03057236. IPD Sharing: NO. Countries: 1. Publications: 1.
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.