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6,452 results for “Application”
Nonlinear vocal phenomena in African penguin begging calls: occurrence, significance, and potential applications
<p>This repository hosts the dataset used in the analysis conducted for the article titled "Nonlinear vocal phenomena in African penguin begging calls: occurrence, significance, and potential applications" including all the necessary files to replicate the analysis and findings presented in the study.</p> <p> </p> <p><strong>Files information</strong></p> <ul> <li><strong>Dataset_full_model.csv = model 1</strong><br>The variable inside are: <br>file_ name= name of the file <br>seq= sequences' Identity<br>id = chicks' identity<br>status = healthy or sick<br>age = chicks age in day<br>nlp= presence/absence<br><br></li> <li><strong>Dataset_control_model.csv = model 2</strong><br>file_ name= name of the file <br>seq= sequences' Identity<br>id = chicks' identity<br>status = healthy or sick<br>age = chicks age in day<br>nlp= nlp presence/absence<br><br></li> <li><strong>Dataset_reduced_NLP_category.csv = model 3, model 4, model 5</strong><br>file_ name= name of the file <br>seq= sequences' Identity<br>id = chicks' identity<br>status = healthy or sick<br>age = chicks age in day<br>nlp_ch=nlp chaos presence/absence<br>nlp_sb=nlp sidebands presence/absence<br>multi = presence of subharmonics, frequency jump or both<br><br></li> <li><strong>Dataset_reduced_NLP_duration.csv = model 6</strong><br>file_ name= name of the file <br>seq= sequences' Identity<br>id = chicks' identity<br>status = healthy or sick<br>age = chicks age in day<br>freq= duration of the NLP normalised on the call duration</li> </ul> <p> </p>
Large Annotated Ultrasound Dataset of Non-Alcoholic Fatty Liver from Saudi Hospitals for Analysis and Applications
<p><strong>Large Annotated Ultrasound Dataset for Non-Alcoholic Fatty Liver Disease (NAFLD)</strong></p> <p>This dataset is a valuable resource for researchers and developers working on AI-assisted diagnosis and staging of Non-Alcoholic Fatty Liver Disease (NAFLD). It comprises a substantial collection of 10,352 high-resolution ultrasound images obtained from 384 patients at two major Saudi hospitals.</p> <p><strong>Key features of the dataset:</strong></p> <ul> <li><strong>Size and diversity:</strong> A large dataset with images from a diverse patient population, capturing a wide spectrum of NAFLD severity.</li> <li><strong>Detailed annotations:</strong> Each image is meticulously annotated with NAFLD Activity Score (NAS) fibrosis staging and steatosis grading, based on corresponding liver biopsy results.</li> <li><strong>Standardization:</strong> Images undergo rigorous pre-processing, including size standardization and quality control, ensuring consistency and reliability.</li> <li><strong>Technical validation:</strong> Inter-rater reliability and image quality preservation are rigorously assessed.</li> </ul> <p><strong>Potential applications:</strong></p> <ul> <li>Development and evaluation of AI algorithms for accurate NAFLD diagnosis and staging.</li> <li>Research on the correlation between ultrasound image features and NAFLD progression.</li> <li>Support for the development of computer-aided diagnostic tools for clinicians.</li> </ul> <p>By providing a comprehensive and well-annotated dataset, this resource aims to accelerate research and improve patient outcomes in NAFLD management.</p>
Guidelines for applicants to service - CYBERSTAND.eu Specific Service Procedure
<p>This document provides the main guidelines for applicants who are interested in applying for CYBERSTAND.<br>eu Specific Service Procedures (SSPs).<br>In a series of six cycles, running until November 2026, CYBERSTAND.eu will assign a total of € 1.500,000<br>to acquire services to address Cyber Resilience Act (CRA) related standardisation priorities.<br>The objective is to enable the specialists to contribute to and help create a fully integrated European<br>Standardisation Ecosystem, thereby strengthening Europe’s position in global standardisation initiatives.</p>
Deep Learning for Real Time 3D Multi-Object Detection, Localization, and Tracking : Application to Smart Mobility
<p>In core computer vision tasks, we have witnessed significant advances in object detection, localisation and tracking. However, there are currently no methods to detect, localize and track objects in road environments, and taking into account real-time constraints. In this paper, our objective is to develop a deep learning multi object detection and tracking technique applied to road smart mobility. Firstly, we propose an effective detector-based on YOLOV3 [1] which we adapt to our context. Subsequently, to localize successfully the detected objects, we put forward an adaptive method aiming to extract 3D information, i.e., depth maps. To do so, a comparative study is carried out taking into account two approaches: Monodepth2 [2,3] for monocular vision and MADNEt [4] for stereoscopic vision. These approaches are then evaluated over datasets containing depth information in order to discern the best solution that performs better in real-time condition. Object tracking is necessary in order to mitigate the risks of collisions. Unlike, traditional tracking approaches which requires target initialization beforehand, our approach consists of using information from object detection and distance estimation to initialize targets and to track them later. Expressly, we propose here to improve SORT [5] approach for 3D object tracking. We introduce an extended Kalman filter [6] to better estimate the position of objects. Extensive experiments carried out on KITTI dataset [7] prove that our proposal outperforms state-of-the-art approches. </p>
Fig. 2 in Distributional modeling of Mantophasmatodea (Insecta: Notoptera): a preliminary application and the need for future sampling
Fig. 2 Summed distribution maps for the potential distribution of all modeled genera in this study
Measurement dataset for Impedance Standard Substrate Characterization and EM model Definition for Cryogenic and Quantum-Computing Applications
<p>dataset for the data presented in the paper "Impedance Standard Substrate Characterization and EM model definition for Cryogenic and Quantum-Computing Applications"</p> <p>In this contribution, we describe the modeling approaches and the characterization procedures used to develop accurate standard models for cryogenic, probe-level, calibrations substrates.The key electrical and mechanical parameters of the impedance terminations and the lines used in commercially available impedance standard substrates are first characterized versus temperature. After, these component are simulated using 2.5D EM solvers including their mechanical variation when exposed to cryogenic temperatures, to extract their nominal response at 7 Kelvin. The quality of the resulting calibrations at cryogenic is evaluated first using independent CPW lines on the calibration substrates and then by measuring the response of a transformer-based resonator realized on a Si-based technology.Ambient temperature models are used as a comparison, to highlight the accuracy improvement that can be achieved employing optimized Cryo-EM based models.</p>
Applicability of an 125I-based in vivo x-ray fluorescence system in measuring skin iron
<p>The complete dataset used for the paper "Applicability of an <sup>125</sup>I-based in vivo x-ray fluorescence system in measuring skin iron" published under the journal Biomedical Physics and Engineering Express</p>
Biochar amendment to cattle slurry reduces NH3 emissions during storage without risk of higher NH3 emissions after soil application of the solid fraction
<p><strong>Excel files:</strong> </p> <p>- Gas experiment phase 1 and phase 2 + calculation of total emissions</p> <p>- Separation of slurry into solid and liquid fractions</p> <p>- Properties of solid and liquid fractions</p> <p>- Gas experiment soil addition of solid fractions</p> <p>- Soil properties before and after soil application experiment</p> <p>- Calculation of total N losses (gaseous losses + N mineralization)</p> <p><strong>R-scripts:</strong></p> <p>- Gas measurements phase 1 and 2 and soil application experiment => raw data further processed in excel files</p> <p>- Statistics on characteristics and separation efficiency of solid and liquid fraction</p> <p>- Digestaat2022_Significanties: statistics on effect of biochar/application method on emissions and digestate properties</p>
LCA of Power-to-X processes and applications in the residential sector
<p>This report describes the modelling of life cycle inventories for the provision of heat and electricity for residential purpose, relying on Power-to-X conversion processes. This includes the following energy carriers: hydrogen, synthetic natural gas, and methanol. Several end use technologies are modelled, from boilers to co-generation units and fuel cells.</p> <p>The heat and electricity supply chain specifications and corresponding inventories supplied with this report are available for different LCI databases and software through the datasets included in this repository.</p>
Fig. 3 in Application of cinnamic acid in the structural modification of natural products: A review
Fig. 3. CA derivatives 9–40 with anti-cancer and anti-tumor activity.
Fig. 2 in Application of cinnamic acid in the structural modification of natural products: A review
Fig. 2. Clinically relevant or FDA-approved drugs containing cinnamic acid structures.
Replication Package - The applicability of a hybrid framework for automated phishing detection
<p>Replication package and dataset for the paper: The applicability of a hybrid framework for automated phishing detection</p>
Dose Tolerance Study in Healthy Male Volunteers After Intranasal Application of Epinastine Nasal
ClinicalTrials.gov study NCT02260037. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Application of Computer-assisted Navigation in Total Knee Arthroplasty: A Randomized Pair-matched Double-blind Trial
ClinicalTrials.gov study NCT00982956. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Development and application of a Ligation-based Library vs Library high- throughput Yeast Two-Hybrid (LLL-Y2H) screening system
GEO Series GSE93036. Mycobacterium tuberculosis; Mus musculus. 3 samples. Type: Other.
Development of a novel splice array platform and its application in the identification of alternative splice variants
GEO Series GSE18346. Homo sapiens. 20 samples. Type: Expression profiling by array.
A honeybee stinger inspired self-interlocking microneedle patch and its application in myocardial infarction treatment
GEO Series GSE201196. Rattus norvegicus. 24 samples. Type: Expression profiling by high throughput sequencing.
Pseudocell Tracer - a method for inferring dynamic trajectories using scRNAseq and its application to B cells undergoing immunoglobulin class switch recombination
GEO Series GSE171867. Mus musculus. 1 samples. Type: Expression profiling by high throughput sequencing.
Application of machine learning (ML) / deep learning (DL) using multiple epigenetic features reveals H3K27Ac as driver of gene expression prediction across patients with glioblastoma [ChIP-Seq]
GEO Series GSE296944. Homo sapiens. 7 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Keloid-specific gene expression profiling for accurate diagnostic and therapeutic applications.
GEO Series GSE188952. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
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.