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19
datasets available to search
ShareScore release 0.9.0
Dataset results
19 results for “driving training”
PAsCAL WP6 Pilot 2 Autonomous Driving Training
<p>This dataset was collected within the context of the PAsCAL research project between January 2022 and February 2022 at the ACI Vallelunga test circuit and premises in Rome, Italy. Subject of the pilot was a driving training for advanced ADAS systems and test driving of a Level-2+ autonomous vehicle on a test track, performing several different manoeuvres to test the capability of the ADAS systems.</p> <p>Some of the participants were subjected to a driving training for autonomous vehicles before they did the test drive, wherein they had to perform several difficult driving manoeuvres (such as on slippery ground or emergency braking). The purpose of this pilot was to observe whether a driving training improves the driver's capability to use ADAS systems and therefore operate the vehicle in a safer way. Depending on the pilot, it is recommended to adapt existing driving training for beginners, professionals and experienced drivers.</p> <p>In order to analyse the answers given to the questions, it is recommended to consult also the "PAsCAL WP6 Pilots Surveys" dataset, which contains all questions and possible answers.</p>
PAsCAL Pilot 2 Autonomous Driving Training
<p>The video documents and describes the activities of Pilot 2 "Autonomous Driving Training" of the PAsCAL vreal-world pilots. This pilot took place at the ACI-Sara Safe Driving Centre in Lainate, near Milan (Italy) on February 2022. It involved trainers, professional and experienced drivers to test the study on a new driving training methodology to encourage people to accept the transition from conventional cars with partial autonomous driving capabilities to fully autonomous cars. </p> <p> </p>
EMS3D-KITTI-Synthetic: A Synthetic 3D Dataset in KITTI Format with Balanced EMS Vehicle Distribution for Autonomous Driving AI Model Training
<p>A 3D synthetic dataset in KITTI format, focused on emergency vehicles such as ambulances and police cars. The dataset was generated across 8 towns within the CARLA simulator and converted into the KITTI format, ensuring compatibility for direct use in AI model training for autonomous driving applications.</p>
PAsCAL WP6 Pilot 2 Autonomous Driving Training Video
<p>A summary video documenting and introducing the activities of pilot 2 of the PAsCAL real-world pilots. The part of the pilot which is documented in the video took place at the Automobile Club d'Italia Vallelunga circuit in Rome, Italy between January 2022 and February 2022. The participants took part in a driving training for autonomous vehicles and specifically for advanced ADAS systems. Some took part in the training before and some after completing a driving course, where they had to overcome several different challenging conditions and manoeuvres.</p> <p> </p>
Investigating the Effect of Training With a Virtual Reality Driving Simulator
ClinicalTrials.gov study NCT04074655. IPD Sharing: NO. Countries: 1. Publications: 1.
Driving Simulator Training For Adults With Acquired Brain Injuries
ClinicalTrials.gov study NCT07378592. IPD Sharing: YES. Countries: 1. Publications: 5.
Early and Delayed STAT1-Dependent Responses Drive Local Trained Immunity of Macrophages in the Spleen [bulk_RNA_seq_MS4A3]
GEO Series GSE252009. Mus musculus. 53 samples. Type: Expression profiling by high throughput sequencing.
Early and Delayed STAT1-Dependent Responses Drive Local Trained Immunity of Macrophages in the Spleen [bulk_RNA_seq_type2_inh]
GEO Series GSE252012. Mus musculus. 1 samples. Type: Expression profiling by high throughput sequencing.
Early and Delayed STAT1-Dependent Responses Drive Local Trained Immunity of Macrophages in the Spleen
GEO Series GSE252014. Mus musculus. 57 samples. Type: Expression profiling by high throughput sequencing.
Early and Delayed STAT1-Dependent Responses Drive Local Trained Immunity of Macrophages in the Spleen [bulk_RNA_seq_inhibitor_exp]
GEO Series GSE252010. Mus musculus. 1 samples. Type: Expression profiling by high throughput sequencing.
Senior Driving Simulation Training for Subjective Cognitive Decline and Mild Cognitive Impairment
ClinicalTrials.gov study NCT05380284. IPD Sharing: NO. Countries: 1. Publications: 0.
Comparing Driving Performance Among Trained and Untrained Drivers Using a Driving Simulator
ClinicalTrials.gov study NCT01619202. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Extramedullary hematopoiesis and immune training drive systemic inflammation and associated organ damage in Systemic Lupus Erythematosus (RRBS)
GEO Series GSE218779. Mus musculus. 10 samples. Type: Methylation profiling by high throughput sequencing.
Early and Delayed STAT1-Dependent Responses Drive Local Trained Immunity of Macrophages in the Spleen [scRNA_seq_training]
GEO Series GSE252013. Mus musculus. 1 samples. Type: Expression profiling by high throughput sequencing.
Extramedullary hematopoiesis and immune training drive systemic inflammation and associated organ damage in Systemic Lupus Erythematosus (RNA-seq)
GEO Series GSE218778. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Early and Delayed STAT1-Dependent Responses Drive Local Trained Immunity of Macrophages in the Spleen [bulk_RNA_seq_kinetics]
GEO Series GSE252011. Mus musculus. 1 samples. Type: Expression profiling by high throughput sequencing.
Extramedullary hematopoiesis and immune training drive systemic inflammation and associated organ damage in Systemic Lupus Erythematosus
GEO Series GSE218780. Mus musculus. 22 samples. Type: Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing.
Transdiaphragmatic Pressure and Neural Respiratory Drive Measured During Inspiratory Muscle Training in COPD
ClinicalTrials.gov study NCT03017300. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Dataset for offline training of a self-driving telescope with Reinforcement Learning
<p>Go to https://zenodo.org/doi/10.5281/zenodo.8388482 for the updated version!!</p> <p>The dataset was generated through simulation and used during the offline training and the comparison of algorithms while targeting the self-driving telescope implementation with Deep Reinforcement Learning (RL).<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.