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1,308 results for “Vehicle”
V2X measurement on M0 motorway with 4 vehicles
<p>V2X data collection under real world conditions.</p><p><strong>Applicability of this dataset</strong>:</p><ul><li>V2X traffic analysis (for research and application development purposes)</li><li>Comparison of unsecured and PKI-authenticated 802.11p-based V2X communication (ITS-G5)</li></ul><p><strong>Location</strong>: Hungary, Budapest + M0 motorway (ringroad around Budapest)</p><p><strong>Date</strong>: 19th May 2023</p><p><strong>Test participants</strong>:</p><ul><li><a href="https://www.bme.hu/?language=en">Budapest University of Technology and Economics</a><ul><li><a href="https://transportation.bme.hu/">Faculty of Transportation Engineering and Vehicle Engineering</a><ul><li><a href="https://www.auto.bme.hu/">Department of Automotive Technologies</a> - <a href="https://www.automateddrive.bme.hu/">BME Automated Drive Lab</a></li><li><a href="http://www.kjit.bme.hu/index.php/en/">Department of Control for Transportation and Vehicle Systems</a> - <a href="https://traffic.bme.hu/">BME Traffic Lab</a></li></ul></li><li><a href="https://www.vik.bme.hu/en/">Faculty of Electrical Engineering and Informatics</a><ul><li><a href="https://www.tmit.bme.hu/?language=en">Department Of Telecommunications and Media Informatics</a></li></ul></li></ul></li><li><a href="https://www.microsec.hu/en">Microsec Ltd. (PKI provider)</a></li></ul><p><strong>Communication hardware</strong>: 4x <a href="https://www.cohdawireless.com/solutions/hardware/mk5-obu/">Cohda Wireless MK5 OBUs</a> (2 vehicles with PKI-on, 2 vehicles with PKI-off) with default settings</p><p><strong>V2X stack</strong> : Cohda Wireless ETSI stack (Physical layer: ITS-G5)</p><p><strong>Security stack</strong>: <a href="https://www.microsec.hu/en/v2x-pki">Microsec V2X PKI</a></p><p><strong>Weather and road conditions</strong>: Clear and sunny weather, dry road</p><p><strong>The datasets includes information on</strong>:</p><ul><li>Decoded received and transmitted V2X messages (secured and not secured GeoNetworking packets)<ul><li><strong>Rx.json</strong> – includes all received V2X messages by that specific host vehicle (CAM, DENM) also including RSU messages (CAM, DENM, MAPEM, SPaTEM, IVIM)</li><li><strong>Tx.json</strong> – includes all transmitted V2X awareness messages by that specific host vehicle (CAM, DENM)</li></ul></li><li><strong>Protocol stack</strong> (encapsulated in messages)<ul><li>PHY layer (ITS-G5 parameters): channel number (CCH/SCH), MCS, Rx power, Rx noise</li><li>MAC layer: Ethernet header</li><li>Network layer: GeoNetworking header</li><li>Transport layer: Basic Transport Protocol (BTP)</li><li>Facilities layer: ETSI ITS (e.g. CAM, DENM etc.)</li></ul></li></ul><p><strong>Measurement sections</strong>:</p><ul><li>Section 1 (Budapest -> M0)</li><li>Section 2 (M0 motorway ring)</li><li>Section 3 (M0 -> Budapest)</li></ul>
Dataset for Vehicle Indoor Positioning in Industrial Environments with Wi-Fi, inertial, and odometry data
<p>Dataset collected in an indoor industrial environment using a mobile unit (manually pushed trolley) that resembles an industrial vehicle equipped with several sensors, namely, Wi-Fi, wheel encoder (displacement), and Inertial Measurement Unit (IMU).</p> <p>Sensors were connected to a Raspberry Pi (RPi 3B +), which collected the data from the sensors. Ground truth information was obtained with video camera pointed towards the floor, registering the times when the trolley passed by reference tags.</p> <p>List of sensors:</p> <ul> <li>4x <strong>Wi-Fi interfaces</strong>: Edimax EW7811-Un</li> <li>2x <strong>IMUs</strong>: Adafruit BNO055</li> <li>1x <strong>Absolute Encoder</strong>: US Digital A2 (attached to a wheel with a diameter of 125 mm)</li> </ul> <p>This dataset includes:</p> <ul> <li>1x <strong>Wi-Fi radio map</strong> that can be used for Wi-Fi fingerprinting.</li> <li>6x <strong>Trajectories</strong>: including sensor data + ground truth.</li> <li><strong>APs Information</strong>: list of APs in the building, including their position and transmission channel.</li> <li><strong>Floor plan:</strong> image of the building's floor plan with obstacles and non-navigable areas.</li> <li><strong>Python package</strong> provided for: <ul> <li>parsing the dataset into a data structure (Pandas dataframes).</li> <li>performing statistical analysis on the data (number of samples, time difference between consecutive samples, etc.).</li> <li>computing Dead Reckoning trajectory from a provided initial position.</li> <li>computing Wi-Fi fingerprinting position estimates.</li> <li>determining positioning error in Dead Reckoning and Wi-Fi fingerprinting.</li> <li>generating plots including the floor plan of the building, dead reckoning trajectories, and CDFs.</li> </ul> </li> </ul> <p> </p> <p>When using this dataset, please cite its data description paper:</p> <p>Silva , I.; Pendão, C.; Torres-Sospedra, J.; Moreira, A. Industrial Environment Multi-Sensor Dataset for Vehicle Indoor Tracking with Wi-Fi, Inertial and Odometry Data. <em>Data</em> <strong>2023</strong>, <em>8</em>, 157. <a href="https://doi.org/10.3390/data8100157" target="_blank" rel="noopener">https://doi.org/10.3390/data8100157</a> </p> <p> </p>
A complete energy community dataset with photovoltaic generation, battery energy storage systems and electric vehicles (v1.5)
<p>This dataset represents a complete European energy community based on actual data. In this scenario, a community of 250 households was built using real energy consumption and solar generation data obtained in homes throughout Europe. In total, 200 community members were assigned solar generation, while 150 were assigned a battery storage system. From the acquired sample, new profiles were created and randomly assigned to each end-user while also receiving two electric cars with information on their capacity, state-of-charge, and usage. Furthermore, it is provided the electric vehicle chargers’ information on their location, type, and cost of operation.</p> <p> </p> <p>Version 1.5 update: <span>on the Sheet EVs, lines 29 (Capacity kW), 30 (Charge kW), and 31 (Discharge kW) were updated to the correct values.</span></p> <p> </p> <p>This work has been published in Elsevier's Data in Brief journal:<br><em> Ricardo Faia, Calvin Goncalves, Luis Gomes, Zita Vale<br> Dataset of an energy community with prosumer consumption, photovoltaic generation, battery storage, and electric vehicles<br> Data in Brief, 2023, 109218, ISSN 2352-3409<br> <a href="https://doi.org/10.1016/j.dib.2023.109218.">https://doi.org/10.1016/j.dib.2023.109218</a><br> (<a href="https://www.sciencedirect.com/science/article/pii/S2352340923003372)">https://www.sciencedirect.com/science/article/pii/S2352340923003372)</a></em></p> <p> </p> <p>We would be grateful if you could acknowledge the use of this dataset in your publications. Please use the Data in Brief publication to cite this work.</p> <p> </p> <p>Reference data used to create this dataset:</p> <ul> <li>Filtered energy profiles and renewable energy production profiles: <a href="../record/6778401">https://zenodo.org/record/6778401</a></li> </ul> <ul> <li>Battery storage systems and electric vehicles: <a href="../record/4737293">https://zenodo.org/record/4737293</a></li> </ul>
A Multi-Center, Randomized, Double Masked, Parallel-Group, Vehicle-Controlled, Clinical Study to Assess the Safety and Efficacy of Reproxalap Ophthalmic Solution in Subjects With Dry Eye Disease
ClinicalTrials.gov study NCT03404115. IPD Sharing: NO. Countries: 1. Publications: 1.
Polidocanol Endovenous Microfoam (PEM) Versus Vehicle for the Treatment of Saphenofemoral Junction (SFJ) Incompetence
ClinicalTrials.gov study NCT01231373. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Phase 2b Dose-ranging Trial to Evaluate Delgocitinib Cream 1, 3, 8, and 20 mg/g Compared to Delgocitinib Cream Vehicle Over a 16-week Treatment Period in Adult Subjects With Chronic Hand Eczema
ClinicalTrials.gov study NCT03683719. IPD Sharing: NO. Countries: 3. Publications: 3.
A Safety and Efficacy Study Comparing 0.5% Ivermectin Cream to a Vehicle Control in Subjects With Head Lice Infestation
ClinicalTrials.gov study NCT01066585. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Randomized, Double-Blind, Vehicle-Controlled Study in Subjects With Seborrheic Keratosis
ClinicalTrials.gov study NCT02667275. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Supervised Manual Physical Therapy Exercise for Ankle Disability After Motor Vehicle Accidents.
ClinicalTrials.gov study NCT06010706. IPD Sharing: YES. Countries: 1. Publications: 1.
Efficacy and Tolerance of Nova22007 Versus Vehicle in Patients With Vernal Keratoconjunctivitis (VKC)
ClinicalTrials.gov study NCT00328653. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Loteprednol Etabonate Versus Vehicle for the Treatment of Inflammation and Pain Following Cataract Surgery
ClinicalTrials.gov study NCT01010633. IPD Sharing: Not stated. Countries: 1. Publications: 1.
LEO 90100 Compared With Calcipotriol Plus Betamethasone Dipropionate Ointment, LEO 90100 Vehicle and Ointment Vehicle in Subjects With Psoriasis Vulgaris
ClinicalTrials.gov study NCT01536886. IPD Sharing: NO. Countries: 1. Publications: 1.
Utilizing Text Messaging to Improve Vehicle Safety Among At-Risk Young Adults
ClinicalTrials.gov study NCT03833713. IPD Sharing: YES. Countries: 1. Publications: 1.
A Clinical Study With Fluticasone Furoate Nasal Spray And Vehicle Placebo For The Treatment Of Perennial (Year-round) Allergic Rhinitis
ClinicalTrials.gov study NCT00682643. IPD Sharing: YES. Countries: 1. Publications: 1.
Study to Evaluate Safety and Efficacy of rhNGF Eye Drops Solution Versus Vehicle in Patients With Glaucoma
ClinicalTrials.gov study NCT02855450. IPD Sharing: NO. Countries: 1. Publications: 1.
A Comparison of DFD01 Spray Versus Comp01 Lotion, Vehicle Spray and Vehicle Lotion in Subjects With Moderate Psoriasis
ClinicalTrials.gov study NCT01947491. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Comparative Study of Thymosin Beta 4 Eye Drops vs. Vehicle in the Treatment of Severe Dry Eye
ClinicalTrials.gov study NCT01393132. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Evaluation of Loteprednol Etabonate Versus Vehicle for the Treatment of Inflammation and Pain Following Cataract Surgery
ClinicalTrials.gov study NCT01060072. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Comparison of 122-0551 Foam Versus Vehicle Foam in Subjects With Plaque Psoriasis (Study 310)
ClinicalTrials.gov study NCT02742441. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Study to Compare U0267 Against Vehicle in Subjects With Plaque-type Psoriasis One of Two Phase 3 Studies
ClinicalTrials.gov study NCT00688519. IPD Sharing: YES. 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
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DANDI Archive for NWB datasets
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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.