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ShareScore release 0.9.0
Dataset results
8 results for “Multi-User”
Data and Results of eELib Simulations for the User-Based Multi-Use of Battery Storage Systems
<p>The dataset contains the configuration for the eElib models (model_data.json) and computed simulation results (.hdf5-files). The following scenarios were computed:</p> <ul> <li>ave_A_static-eq</li> <li>ave_A_static</li> <li>ave_A_dynamic_charging</li> <li>ave_A_fully_dynamic</li> <li>ave_B_static-eq_bss</li> <li>ave_B_static_bss</li> <li>ave_B_dynamic_charging_bss</li> <li>ave_B_fully_dynamic_bss</li> <li>MELANI_static</li> <li>MELANI_static_equal</li> <li>MELANI_dynamic_charging</li> <li>MELANI_fully_dynamic</li> </ul> <p><strong>Description of syntax of simulation results:</strong></p> <ul> <li>average (ave_B is half the size of the BSS of ave_A) and MELANI describe the considered multi-family house</li> <li>static/ static / dynamic_charging / fully_dynamic are the three developed operating strategies for the user-based multi-use</li> <li>static-equal: the allocation keys are equally, i.e., the PVS and BSS capabilities are equally distributed among the households of the multi-family house</li> </ul> <div> <div><strong>As part of the publication:</strong></div> <div>Henrik Wagner, Constantin von Lützow, Marcel Lüdecke, Michel Meinert, Bernd Engel "Empowering Collective Self-Consumption in Multi-Family Houses: User-Based Multi-Use of Residential Battery Storage Systems", 23rd Wind & Solar Integration Workshop 2024, Helsinki, Finland, doi: 10.1049/icp.2024.3901</div> <div> </div> <div><strong>Changelog:</strong></div> <div>v2: Added doi for WIW 2024 conference paper to improve citation possibilities</div> </div>
Brain Invaders Solo versus Collaboration: Multi-User P300-based Brain-Computer Interface Dataset (bi2014b)
<p><strong>Summary:</strong></p> <p>This dataset contains electroencephalographic (EEG) recordings of 38 subjects playing in pair to the multi-user version of a visual P300-based Brain-Computer Interface (BCI) named <em>Brain </em><em>Invaders </em>(Congedo et al., 2011). The interface uses the oddball paradigm on a grid of 36 symbols (1 Target, 35 Non-Target) that are flashed pseudo-randomly to elicit a P300 response, an evoked-potential appearing about 300ms after stimulation onset. EEG data were recorded using 32 active wet electrodes per subjects (total: 64 electrodes) during three randomized conditions (Solo1, Solo2, Collaboration). The experiment took place at GIPSA-lab, Grenoble, France, in 2014. A full description of the experiment is available at <a href="https://hal.archives-ouvertes.fr/hal-02173958">https://hal.archives-ouvertes.fr/hal-02173958</a>. Python code for manipulating the data is available at <a href="https://github.com/plcrodrigues/py.BI.EEG.2014b-GIPSA">https://github.com/plcrodrigues/py.BI.EEG.2014b-GIPSA</a>. The ID of this dataset is <em>bi2014b.</em></p> <p> </p> <p><strong>Full description of the experiment and dataset: </strong><a href="https://hal.archives-ouvertes.fr/hal-02173958">https://hal.archives-ouvertes.fr/hal-02173958</a></p> <p> </p> <p><strong><em>Investigators</em>:</strong> Eng. Louis Korczowski, B. Sc. Ekaterina Ostaschenko</p> <p> </p> <p><strong><em>Technical</em></strong> <strong><em>Support</em></strong>: Eng. Anton Andreev, Eng. Grégoire Cattan, Eng. Pedro. L. C. Rodrigues, M. Sc. Violette Gautheret</p> <p> </p> <p><strong><em>Scientific Supervisor:</em></strong> Ph.D. Marco Congedo</p> <p> </p> <p><strong>ID of the dataset: </strong><em>bi2014b</em></p>
Brain Invaders Cooperative versus Competitive: Multi-User P300-based Brain-Computer Interface Dataset (bi2015b)
<p><strong>Summary:</strong></p> <p>This dataset contains electroencephalographic (EEG) recordings of 44 subjects playing in pair to the multi-user version of a visual P300 Brain-Computer Interface (BCI) named <em>Brain </em><em>Invaders</em>. The interface uses the oddball paradigm on a grid of 36 symbols (1 or 2 Target, 35 or 34 Non-Target) that are flashed pseudo-randomly to elicit the P300 response. EEG data were recorded using 32 active wet electrodes per subjects (total: 64 electrodes) during four randomised conditions (Cooperation 1-Target, Cooperation 2-Targets, Competition 1-Target, Competition 2-Targets). The experiment took place at GIPSA-lab, Grenoble, France, in 2015. A full description of the experiment is available at <a href="https://hal.archives-ouvertes.fr/hal-02173913">https://hal.archives-ouvertes.fr/hal-02173913</a>. Python code for manipulating the data is available at <a href="https://github.com/plcrodrigues/py.BI.EEG.2015b-GIPSA">https://github.com/plcrodrigues/py.BI.EEG.2015b-GIPSA</a>. The ID of this dataset is <em>bi2015b.</em></p> <p> </p> <p><strong>Full description of the experiment and dataset: </strong><a href="https://hal.archives-ouvertes.fr/hal-02173913">https://hal.archives-ouvertes.fr/hal-02173913</a></p> <p> </p> <p><strong><em>Investigators</em>:</strong> Eng. Louis Korczowski, B. Sc. Martine Cederhout</p> <p> </p> <p><strong><em>Technical</em></strong> <strong><em>Support</em></strong>: Eng. Anton Andreev, Eng. Grégoire Cattan, Eng. Pedro. L. C. Rodrigues, M. Sc. Violette Gautheret</p> <p> </p> <p><strong><em>Scientific Supervisor:</em></strong> Ph.D. Marco Congedo</p> <p> </p> <p><strong>ID of the dataset: </strong><em>bi2015b</em></p>
VR Gaming Dataset - Multi-user tests
<p>This virtual reality (VR) gaming dataset includes <strong>Wireshark</strong> traces (.csv) and <strong>ALVR</strong> statistics (.json) for <strong>three users</strong> (Costas, Miguel, Daniele) playing at the same time in a <strong>Wi-Fi 6</strong> network with <strong>one access point</strong> (AP). We used multiple bitrates (50 Mbps, 100 Mbps, 200 Mbps) and multiple configurations (DCF, DL OFDMA, DL/UL OFDMA, DL/UL OFDMA with MU-MIMO). Costas plays <strong>Half-Life: Alyx</strong>, while Miguel and Daniele play <strong>SteamVR Home</strong>. Each configuration includes single-user (SU) results as well, that can be used as a baseline for the multi-user (MU) ones.</p>
Supporting live data sessions in multi-user virtual reality using CAVA360VR
<p>A dense composite 2D video clip showing the different screens and audio chat of three analysts using <em>CAVA360VR </em>(Collaborate, Annotate, Visualise, Analysis 360 video in Virtual Reality) to hold a live virtual data session at a national research conference in 2019. The three co-analysts (M, J and P) in VR were collaborating even though they were in three different physical locations across two countries. The video data that they analysed together involved multicam recordings of six participants in a two-team competition to solve a Lego puzzle when only one member in each group could view the hidden Lego construction in order to instruct the others in their team how to rebuild it from a pile of blocks. The video clip shows the viewport chosen by each of the three analysts. There are three possible viewports that can be selected: a) what they each see in their VR HMD (head-mounted display), b) an over-the-shoulder view (with an outline showing their avatar), and c) a static third-person view of the three analysts. A fourth screen shows the view of an observer in non-VR mode.</p>
multi-user sessions materials
<p><strong>Some of the materials recorded during the multi-user collaborative sessions</strong></p> <p><strong>Credits</strong></p> <p>Timelapses:</p> <ul> <li><a href="https://zenodo.org/api/files/1ed8b3e3-c19d-4b2b-9d7b-84545e490077/3-tangra_concept_2.mp4?versionId=cebba3a8-3822-474b-80e3-dc4e35b76fc8">3-tangra_concept_2.mp4 </a>: Tanguy, Clémence</li> <li><a href="https://zenodo.org/api/files/1ed8b3e3-c19d-4b2b-9d7b-84545e490077/10-paper_summit.mp4?versionId=a9ad255f-560e-4e0a-8ba5-ea0bd500f504">10-paper_summit.mp4</a>: Softyoda, Laurent, Ultr-X, Ikxi, Swann // image reference author: Thomas Gugel</li> <li><a href="https://zenodo.org/api/files/1ed8b3e3-c19d-4b2b-9d7b-84545e490077/13-all_seing_monolith.mp4?versionId=6cfb7019-8339-4e50-840a-49daf1c533e4">13-all_seing_monolith.mp4</a>: Softyoda, Wuaieyo, Staz, Swann // image reference author: Stuart Wade</li> <li><a href="https://zenodo.org/api/files/1ed8b3e3-c19d-4b2b-9d7b-84545e490077/14-campsite.mp4?versionId=dca7a8b3-7b59-46cc-8513-a8558222029f">14-campsite.mp4</a>: NotFood, Staz, Wuaieyo, Swann // image reference author: Mohamed Chahin</li> <li><a href="https://zenodo.org/api/files/1ed8b3e3-c19d-4b2b-9d7b-84545e490077/18-surreal_architecture.mp4?versionId=0b350e48-f1ed-4390-9bfd-567df573a5c6">18-surreal_architecture.mp4</a>: Staz, NotFood, Softyoda, Wuaieyo, Oenvoyage, Spacefarer, Tianerad, Fabian, Yoyodespin, Swann // image reference author: Michiel Schrijver</li> <li><a href="https://zenodo.org/api/files/1ed8b3e3-c19d-4b2b-9d7b-84545e490077/19-abstract_city.mp4?versionId=05409eb4-e3e7-4286-8e10-43376d1cc1ea">19-abstract_city.mp4:</a> Adrien, Tanguy, Bruno, Gorgio, Axel // image reference author: Quan Pham Tung</li> <li><a href="https://zenodo.org/api/files/1ed8b3e3-c19d-4b2b-9d7b-84545e490077/20-scene_sky_island.mp4?versionId=3c0eaf72-e687-4c3e-9870-922d451ce98f">20-scene_sky_island.mp4 </a>: Fabian, NotFood, Wuaieyo, Staz, Swann // image reference author: Péng ái</li> <li><a href="https://zenodo.org/api/files/1ed8b3e3-c19d-4b2b-9d7b-84545e490077/22-xbox-clubs-image.mp4?versionId=968b238c-2af0-448a-a993-f57461c31d6e">22-xbox-clubs-image.mp4 </a>: NotFood, Wuaieyo, Staz, Deajynn, Swann // image reference author: Alex Pushilin</li> <li><a href="https://zenodo.org/api/files/1ed8b3e3-c19d-4b2b-9d7b-84545e490077/25-castles.mp4?versionId=ceaec3df-3653-4ee4-8533-dc835e1f23f2">25-castles.mp4 </a>: Softyoda, Fabian, NotFood, Wuaieyo, Swann // image reference author: Timothy J. Reynolds</li> <li><a href="https://zenodo.org/api/files/1ed8b3e3-c19d-4b2b-9d7b-84545e490077/27-random_house_5.mp4?versionId=6a6d7ae5-e580-4e28-b279-63fec752e571">27-random_house_5.mp4</a>: NotFood, Wuaieyo, Swann // image reference author: Mohamed Chahin</li> <li><a href="https://zenodo.org/api/files/1ed8b3e3-c19d-4b2b-9d7b-84545e490077/28-wind_mill_in_nemcice.mp4?versionId=819ab1b5-7f0e-4b91-9835-2cb8efca8d12">28-wind_mill_in_nemcice.mp4: </a>Wuaieyo, NotFood, Swann // image reference author: Febin_Raj</li> <li><a href="https://zenodo.org/api/files/1ed8b3e3-c19d-4b2b-9d7b-84545e490077/33-ancient_gods_threshold.mp4?versionId=e2d70b16-f1e6-4f7c-909c-6eb3f1b74f54">33-ancient_gods_threshold.mp4 </a>NotFood, Kysios, Wuaieyo, Swann // image reference author: Elodie Mondoloni</li> </ul> <p>Animation projects results:</p> <ul> <li><a href="https://zenodo.org/api/files/1ed8b3e3-c19d-4b2b-9d7b-84545e490077/34-outrun_result.gif?versionId=420e0369-7ae2-415b-8832-ad4dbc9692d1">34-outrun_result.gif</a>: NotFood, Fabian, Wuaieyo, Ultr-X, Swann</li> <li><a href="https://zenodo.org/api/files/1ed8b3e3-c19d-4b2b-9d7b-84545e490077/35-mstrd_II_result.gif?versionId=4160b57d-6830-4171-b915-193e1b449b2a">35-mstrd_II_result.gif</a>: Tanguy, Gorgio, Adrien // image reference author: gifmk7</li> <li><a href="https://zenodo.org/api/files/1ed8b3e3-c19d-4b2b-9d7b-84545e490077/36-elmo_result.gif?versionId=5f8d1ddc-b091-4f87-b75d-ec7c45a565c9">36-elmo_result.gif</a>: Gorgio, Fabian, Tanguy, Adrien</li> </ul> <p><strong>(more to come)</strong></p> <p><br> </p> <p> </p>
Multi-user Touch Surfaces for Promoting Social Participation and Self-efficacy in Upper-limb Stroke Rehabilitation
ClinicalTrials.gov study NCT05316766. IPD Sharing: NO. Countries: 1. Publications: 0.
Clinical Validation of the Ameda Pearl - An Electric, Hospital Grade, Multi-User Breast Pump
ClinicalTrials.gov study NCT05297799. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
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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
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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.