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.
12
datasets available to search
ShareScore release 0.9.0
Dataset results
12 results for “self-learning”
Self-Learning Vehicle Detection Dataset for Urban Environments
<p>This dataset was collected as part of a research study aimed at enhancing vehicle detection algorithms through a self-learning approach tailored for urban environments. The primary objective was to minimize dependency on extensive manual labeling and improve adaptability and effectiveness in dynamic urban conditions. The study utilized urban camera infrastructures to gather real-time traffic data, focusing on a diverse range of vehicle types.</p> <p>The dataset includes images captured from traffic cameras situated at the intersection of Calle de Alcalá and Calle de Velázquez in Madrid, Spain, operated by the Madrid City Council. Data collection spanned from November 30, 2023, to December 6, 2023, covering daytime traffic between 8:30 hours and 18:00 hours. A total of 770 images were captured at approximately 5-minute intervals.</p> <p>This dataset specifically targets five vehicle types: buses, cars, motorcycles, trucks, and vans, chosen to encompass a wide range of vehicle sizes, shapes, and functionalities commonly encountered in city traffic. A subset of 134 images was manually labeled, into sets for training, validation (fine-tuning phase), and validation (self-training phase). The remaining 653 images were labeled automatically via the self-learning process proposed in the research.</p>
DAEMON: Network intelligence for aDAptive and sElf-Learning MObile Networks
<p>The DAEMON H2020 european project develops and implements innovative and pragmatic approaches to Network Intelligence (NI) design that enable high performance, sustainable and extremely reliable zero-touch network system. DAEMON designs an end-to-end NI-native architecture for Beyond 5G (B5G) that fully coordinates NI-assisted functionalities.</p> <p>Main website: <a href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqblFJekN4dzdUcHYzQXlMd19rS0xjSDNleWVlZ3xBQ3Jtc0tsSmpkdWVUaXBSVDRHb2w5WDhGZnN3S05DM0FSRk9VS3RDc1hTT0l6MVhtd1pvWmZ2bEtRRUFxb0xkRmRQa1lVWVF0a1B2M1RwdXlmS2lIWEF0LWt4Q1ZIQndSNHNJcVJaSVNQODgtRThEaHh4TDBuaw&q=https%3A%2F%2Fh2020daemon.eu%2F&v=VNMVe8S-Ees">https://h2020daemon.eu/</a></p>
Analysis of Questions in Vocabulary Instruction in Grade 2 Mother Tongue, Filipino, and English Self-Learning Modules
<p>This is a master's thesis that analyzed the questions on vocabulary instruction in Grade 2 Mother Tongue, Filipino, and English self-learning modules. </p>
Codes and results for self-learning entropic population annealing for interpretable materials design
<p>Codes that can reproduce the results in the paper entitled "self-learning entropic population annealing for interpretable materials design". Results, when the number of particles is 50, are included.</p>
Enhancing Medical Researchers' Self-learning With an Intelligent Language Model
ClinicalTrials.gov study NCT06015178. IPD Sharing: NO. Countries: 1. Publications: 1.
Effects of a Peer-facilitated, Acceptance-based Self-learning for Illness Management (PASIM) Program
ClinicalTrials.gov study NCT07129369. IPD Sharing: NO. Countries: 1. Publications: 4.
Data from: Drosophila FoxP mutants are deficient in operant self-learning
Intact function of the Forkhead Box P2 (FOXP2) gene is necessary for normal development of speech and language. This important role has recently been extended, first to other forms of vocal learning in animals and then also to other forms of motor learning. The homology in structure and in function among the FoxP gene members raises the possibility that the ancestral FoxP gene may have evolved as a crucial component of the neural circuitry mediating motor learning. Here we report that genetic manipulations of the single Drosophila orthologue, dFoxP, disrupt operant self-learning, a form of motor learning sharing several conceptually analogous features with language acquisition. Structural alterations of the dFoxP locus uncovered the role of dFoxP in operant self-learning and habit formation, as well as the dispensability of dFoxP for operant world-learning, in which no motor learning occurs. These manipulations also led to subtle alterations in the brain anatomy, including a reduced volume of the optic glomeruli. RNAi-mediated interference with dFoxP expression levels copied the behavioral phenotype of the mutant flies, even in the absence of mRNA degradation. Our results provide evidence that motor learning and language acquisition share a common ancestral trait still present in extant invertebrates, manifest in operant self-learning. This 'deep' homology probably traces back to before the split between vertebrate and invertebrate animals.
Self-learning vs Instructor-led Learning in BLS
ClinicalTrials.gov study NCT03141528. IPD Sharing: NO. Countries: 1. Publications: 0.
Feasibility Study of PcyCare (Pregnancy Care) : A Self-Learning Educational Platform for Pregnant Women
ClinicalTrials.gov study NCT07207733. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Drosophila FoxP mutants are deficient in operant self-learning
Open the record for dataset details and reuse information.
Safety and Feasibility of a Self-Learning Bolus Calculator With Simplified Meal Announcement in Adolescents With Type 1 Diabetes Using Automated Insulin Delivery
ClinicalTrials.gov study NCT07212179. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Online Self-learning for Women With Gestational Diabetes Mellitus
ClinicalTrials.gov study NCT05188625. IPD Sharing: NO. Countries: 1. Publications: 0.
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.