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2,481 results for “gaming”
Figs 23–26 in New Zodariidae (Araneae) from Mkomazi Game Reserve, Tanzania
Figs 23–26. Dusmadiores lamellatus sp. n. male paratype (MRAC 215725), female (MRAC 215716) Mkomazi: (23) male habitus, dorsal view; (24) idem, ventral view; (25) female habitus, dorsal view; (26) idem, ventral view. Scale bar = 0.5 mm.
Figs 5–9 in New Zodariidae (Araneae) from Mkomazi Game Reserve, Tanzania
Figs 5–9. Diores similis sp. n. male and female, Mkomazi (MRAC 215733): (5) male palp, ventral view; (6) idem, retrolateral view; (7) epigyne, ventral view; (8) epigyne, cleared, dorsal view; (9) idem, ventral view. Scale bars = 200 μm.
Figs 37–40 in New Zodariidae (Araneae) from Mkomazi Game Reserve, Tanzania
Figs 37–40. Dusmadiores lamellatus sp. n. dorsolateral SEM views of femoral organ, male, Mkomazi (MRAC 215716): (37) leg 1; (38) leg 2; (39) leg 3; (40) leg 4. Scale bars = 10 μm.
Figs 48–51 in New Zodariidae (Araneae) from Mkomazi Game Reserve, Tanzania
Figs 48–51. Heradida minutissima sp. n. SEM images; male and female, Mkomazi (MRAC 215727): (48) male palp, ventral view; (49) idem, distal part Of cYmbium, shOwing mOdified setae and pectinated setae; dorsal view; (50) female, femoral organ, leg 2, dorsal view; (51) female, right femur and patella 2, shOwing patellar crack. Scale bars = 50 μm.
Figs 30–32 in New Zodariidae (Araneae) from Mkomazi Game Reserve, Tanzania
Figs 30–32. Dusmadiores lamellatus sp. n. male paratype (MRAC 215725), female (MRAC 215716) Mkomazi: (30) male palp, ventral view; (31) idem, retrolateral view; (32) epigyne, ventral view. C: cOnductOr, E: embOlus, EB: embOlus base, MA: median apOphYsis. Scale bar = 100 μm.
Figs 33–36 in New Zodariidae (Araneae) from Mkomazi Game Reserve, Tanzania
Figs 33–36. Dusmadiores lamellatus sp. n. SEM views; male (MRAC 215716), female (MRAC 215716) Mkomazi: (33) male palp, retrolateral view; (34) part of male palp, ventral view; (35) male palp, tibia and base of bulbus, retrolateral view; (36) epigyne, after digestion, dorsal view. Scale bars = 100 μm (33), 50 μm (34–36). C: cOnductOr, E: embOlus, EB: embOlus base, MA: median apOphYsis.
Figs 61–63 in New Zodariidae (Araneae) from Mkomazi Game Reserve, Tanzania
Figs 61–63. Ranops dippenaarae sp. n. male and female (MRAC 215520), Mkomazi: (61) male palp, ventral view; (62) idem, retrOlateral view; (63) epigYne, ventral view. Scale bars: (61, 62) = 200 μm, (63) = 100 μm.
Figs 1–4 in New Zodariidae (Araneae) from Mkomazi Game Reserve, Tanzania
Figs 1–4. Diores similis sp. n. male and female, Mkomazi (MRAC 215733): (1) male habitus, dorsal view; (2) idem, ventral view; (3) female habitus, dorsal view; (4) idem, ventral view. Scale bars = 1 mm.
Object Tracking on a Monopoly Game Board
<p><strong>Object Tracking on a Monopoly Game Board</strong></p> <p><strong>Author:</strong> Nathan Hoebeke</p> <p><strong>Supervisors:</strong> Maxim Van de Wynckel, Prof. Dr. Beat Signer</p> <p><strong>About</strong></p> <p>The goal of this dataset was to track game pieces on the physical game board of Monopoly. We make use of object classification where our training data consists of 100 pictures (taken at an angle) of the game board in order to classify the individual (moving) pieces. The training dataset was on the 9th of April 2023 and the test date recorded on the 7th of May 2023 using an iPhone 13 mini and iPhone 12.</p> <p>Two participants played a game of Monopoly and each individually took pictures of the current game state after every move. These images were then processed by our application to determine the location of pawns and other game pieces such as the red and green houses.</p> <p>Raw images are unprocessed but may have minor edits to ensure anonymisation of participants in the background. We used <a href="https://roboflow.com/">Roboflow</a> to label and train our dataset which is included in this repository.</p> <p>For more information about our processing and this dataset you can download the full Bachelor thesis here: <a href="https://wise.vub.ac.be/thesis/location-tracking-physical-game-board">https://wise.vub.ac.be/thesis/location-tracking-physical-game-board</a> (download link available after embargo at the end of the academic year)</p> <p>This dataset was published as part of the bachelor thesis: <em>Location Tracking on a Physical Game Board</em> for obtaining the degree of Bachelor in Computer Sciences at the <a href="https://vub.be">Vrije Universiteit Brussel</a>.</p> <p><strong>Data</strong></p> <table> <thead> <tr> <th>Data</th> <th>Pictures</th> <th>Device</th> </tr> </thead> <tbody> <tr> <td><strong>Training</strong></td> <td>213</td> <td>iPhone 13 mini</td> </tr> <tr> <td><strong>Test #1</strong></td> <td>102</td> <td>iPhone 12</td> </tr> <tr> <td><strong>Test #2</strong></td> <td>93</td> <td>iPhone 13 mini</td> </tr> </tbody> </table> <p><strong>Dataset contents</strong></p> <ul> <li><code>model</code>: Trained YOLOv5 model with labels. This dataset can also be found <a href="https://universe.roboflow.com/vub-vsmjx/boardgamedetection">here</a>.</li> <li><code>train</code>: Training data made by the author. <ul> <li><code>raw</code>: Raw pictures of the game board at various states. <ul> <li><code>GAME_2023-04-09_<HH>-<MM>-<SS>.jpg</code>: Images formatted based on the date and time when they were captured.</li> </ul> </li> <li><code>processed</code>: Processed pictures with perspective transformation applied. <ul> <li><code>canvas<X>.png</code>: (Pre)-processed image.</li> </ul> </li> </ul> </li> <li><code>test</code>: Test data made by indepedent participants. <ul> <li><code>participant_1</code>: Participant 1 data <ul> <li><code>raw</code>: Raw pictures of the game board taken by the parcipant after every move. <ul> <li><code>GAME_2023-05-07_<HH>-<MM>-<SS>.jpg</code>: Images formatted based on the date and time when they were captured.</li> </ul> </li> <li><code>processed</code>: Processed pictures with perspective transformation applied. Yellow rectangles are included when our own algorithm was able to determine the location. <ul> <li><code>canvas<X>.png</code>: Processed image.</li> </ul> </li> </ul> </li> <li><code>participant_2</code>: Participant 2 data <ul> <li><code>raw</code>: Raw pictures of the game board taken by the parcipant after every move. <ul> <li><code>GAME_2023-05-07_<HH>-<MM>-<SS>.jpg</code>: Images formatted based on the date and time when they were captured.</li> </ul> </li> </ul> </li> </ul> </li> <li><code>README.md</code>: Documentation and information about the dataset.</li> </ul> <p><strong>License</strong></p> <p>This license applies to the dataset for the game Monopoly. Any artwork or intellectual property from the game that is captured by this dataset is property of Hasbro, Inc.</p> <p>Copyright 2022-2023 Nathan Hoebeke, Beat Signer, Maxim Van de Wynckel, Vrije Universiteit Brussel</p> <p>Permission is hereby granted, free of charge, to any person obtaining a copy of this dataset and associated documentation files (the “Dataset”), to deal in the Dataset without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Dataset, and to permit persons to whom the Dataset is furnished to do so, subject to the following conditions:</p> <p>The above copyright notice and this permission notice shall be included in all copies or substantial portions that make use of the Dataset.</p> <p>THE DATASET IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE DATASET OR THE USE OR OTHER DEALINGS IN THE DATASET.</p>
Example of log sessions of the Edible City Game
<p>The Edible City Game is a serious game for urban planning of edible city solutions (aka urban agriculture) developed under the Edicitnet project. This dataset contains several log sessions result of a workshop in the Edible Cities Network Annual Conference 2023, held in Barcelona.</p>
Dataset: Assessing Power in Punching Sounds from Mainstream Films and Video Games
<p>Dataset accompanying the article published at ICAD 2023: </p> <p>Assessing Power in Punching Sounds from Mainstream Films and Video Games</p> <p>This repository contains: </p> <ul> <li>28 sound stimuli (.wav)</li> <li>Dataset from the experiment as described in the paper (.RData)</li> <li>Dataset containing audio features as described in the paper (.RData)</li> <li>Analysis code in R (.pdf)</li> </ul> <p> </p>
Video Tutorial for the FAIR Game
<p>A video tutorial about the FAIR Game</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>
Dataset of UAI 2021 Paper "An Unsupervised Video Game Playstyle Metric via State Discretization"
<p>This is a part of dataset of the paper published in UAI 2021 (37th Conference on Uncertainty in Artificial Intelligence).</p> <p>Including training datasets, testing datasets, and HSD models of three game platforms used in the paper: TORCS, RGSK, and Atari.</p> <p>The example program for using this file will be put on the author's github repo branch: <a href="https://github.com/DSobscure/cgi_drl_platform/tree/playstyle_uai2021">https://github.com/DSobscure/cgi_drl_platform/tree/playstyle_uai2021</a></p>
Dataset of Israeli and Palestinian students' attitudes before and after playing games PeaceMaker and Fact Finders
<p>203 Israeli and Palestinian students participated in a quasi-experimental pre-test post-test design and played the games PeaceMaker and Fact Finders in a different order (Peace Maker first, Fact Finders second or Fact Finders first, Peace Maker second) or played one of the two games (either PeaceMaker or Fact Finders). Their viewpoints and attitudes towards both conflicts (Israel-Palestine conflict and Cyprus conflict) were measured before and after playing each game.</p>
German Gaming Magazines Sales Data 1980-2000
<p>A data set that collects sales and distribution data of seventeen German gaming magazines 1980-2000, based on the print run lists ("Auflagelisten") published by the <i>Informationsgemeinschaft zur Feststellung der Verbreitung von Werbeträgern</i> (<a href="https://en.wikipedia.org/wiki/Informationsgemeinschaft_zur_Feststellung_der_Verbreitung_von_Werbetr%C3%A4gern"><i>Information Community for the Assessment of the Circulation of Media</i></a> – IVW). More information on the dataset and its structure can be found here: <a href="https://chludens.hypotheses.org/1228">https://chludens.hypotheses.org/1228</a></p>
Dataset of TMLR 2024 Paper "Perceptual Similarity for Measuring Decision-Making Style and Policy Diversity in Games"
<p>This is a part of dataset of the paper published in TMLR 2024 (Transactions on Machine Learning Research, <a href="https://jmlr.org/tmlr/" target="_blank" rel="noopener">https://jmlr.org/tmlr/</a>).</p> <p>The example program for using this file will be put on the author's github repo branch: <a href="https://github.com/DSobscure/cgi_drl_platform/tree/game_balance_measures_tmlr" target="_blank" rel="noopener">https://github.com/DSobscure/cgi_drl_platform/tree/playstyle_similarity_tmlr</a></p> <p> </p>
EFFICACY: Hopewell Hospitalist: A Video Game Intervention to Increase Advance Care Planning by Hospitalists
ClinicalTrials.gov study NCT04557930. IPD Sharing: YES. Countries: 1. Publications: 3.
Exposure to Gun Violence in Video Games Increases Interest in Real Guns
ClinicalTrials.gov study NCT03259139. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Utilizing Gaming Mechanics to Optimize Telerehabilitation Adherence in Persons With Stroke
ClinicalTrials.gov study NCT03985761. IPD Sharing: YES. Countries: 1. Publications: 41.
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
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.