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2,481 results for “gaming”
Data of 14 participants in the RCT titled Acute effects of virtual reality exercise bike games on psychophysiological outcomes in college North-African adolescents with cerebral palsy: A randomized clinical trial
<p>It is an Excel file including the numerical data of the 14 participants included in the study titled: <a name="_Hlk151119211"></a><span>Acute effects of virtual reality exercise bike games on psychophysiological outcomes in college North-African adolescents with cerebral palsy: A randomized clinical trial</span></p>
Linked collectors and determiners for: What happens when scientists play telephone game? The cautionary tale of " Lippia grandis " and the importance of correct plant identification.
Natural history specimen data linked to collectors and determiners held within, "What happens when scientists play telephone game? The cautionary tale of " Lippia grandis " and the importance of correct plant identification". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/33f6613d-d1d6-451e-bab2-b7598665be83">https://bionomia.net/dataset/33f6613d-d1d6-451e-bab2-b7598665be83</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/33f6613d-d1d6-451e-bab2-b7598665be83">https://gbif.org/dataset/33f6613d-d1d6-451e-bab2-b7598665be83</a>. Formatted as a Frictionless Data package.
Data for Manuscript: Instrumental Validity of the Motion Detection Accuracy of a Smartphone Based Training Game
<p><strong>Background: </strong>In the project TRIMOTEP we developed a low-cost augmented reality training game. Aim of the training game ist to support patients after total hip replacement in their rehabilitation. The project was funded by the Austrian Research Promotion Agency (FFG, grant number 862050). As hardware the training game uses a headset, an android smartphone and a step board. The goal of the training game is to dodge animals and objects while performing exercises. A current version of the training game can be downloaded here: https://trimotep.fh-joanneum.at/exer-game-ar_walker/ . The training game is based on Google ARCore and uses a movement detection approach to recognise different exercises. To detect movements ARCore uses the smartphone inbuilt inertial measurement unit and the front camera (https://developers.google.com/ar/discover). In order to investigate the possibilities of the training game, it is necessary to examine the accuracy of movement detection in more detail.</p> <p><strong>Data: </strong>To investigate the accuracy, comparative measurements were carried out with 30 healthy subjects. During the measurements, the subjects motion was recorded simultaneously with the training game and an optoelectronic motion capture system (Vicon). Two trials were recorded with each subject.</p> <p>First Trial: subjects followed a protocol</p> <p>Second Trial: subjects played the training game for one minute</p> <p>The training game measures the movement of the smartphone (and therefore of the headset and the head). The optoelectronic motion capture system uses a marker set consisting of four markers. Those markers are labeled HMD_F, HMD_B, HMD_R, HMD_L. Markers HMD_R and HMD_L as well as HMD_B and HMD_F form an axis in a karthesian coordinate system. This coordinate system is rotated by 8 degrees compared to the training game along the transversal axis.</p> <p><strong>Structure of the Data Set:</strong> The data set includes an excel sheet with general data of the subjects and a figure showing the tilt between the two coordinate systems. Further one folder contains the measurement data of the training game as json files. Another folder contains the measurement data of the optoelectronic motion capturing system as csv files.</p> <p> </p> <p>For further information or help to process the data please contact:</p> <p>Bernhard Guggenberger, bernhard.guggenberger2@fh-joanneum.at</p>
FIG. 5 in Ancient use of the knuckle-bone for rituals and gaming piece
FIG. 5. — Types of modifications observed on the knuckle bones from the Lapis Niger (from Elia & Carè 2004).
Squid Game madhe vicharlela motha prashna button choosing meme
<p><strong>हास्य कट्टा ऑफिशियल मीम चे स्क्विड गेम मीम</strong></p> <p><strong>स्क्विड गेम मध्ये विचारला सर्वात मोठा प्रश्न..!! तुम्ही देऊ शकता का ह्या प्रश्नाचे उत्तर ??</strong></p> <p><strong>Smit Shetye @ Hasya Katta Official. </strong></p> <p><strong><a href="https://hasyakattaofficial.github.io">Hasya Katta Official</a></strong></p> <p><strong><a href="https://smitshetye.github.io">Smit Shetye</a></strong></p>
Information and Agreement in the Reputation Game Simulation
<p>Here, the data underlying the article "Information and Agreement in the Reputation Game Simulation" is provided.<br> <br> There are 100 simulations with different random seeds to ensure statistically meaningful results. Each simulation is represented by a .json file in which all events that happened during the simulation are collected. Generally, there are three types of events: communications, self-updates (information that the speaker gained about itself is processed) and updates (information that the receiver gained about the speaker and the topic is processed). Additionally, the first line specifies the parameters of each simulation, and the last few lines summarize the final status of the simulation. In the following all important abbreviations are explained:</p> <ul> <li>first line <ul> <li>x_est: intrinsic honesties of the agents</li> <li>fr_affinities: intrinsic friendship affinity values of the agents</li> <li>shynesses: intrinsic shyness values of the agents</li> <li>perc_one_to_one: percentage of one-to-one conversations</li> <li>RSeed: the used random seed</li> <li>NA: number of agents</li> <li>NR: number of rounds</li> <li>mode: strategy used by the special agent</li> </ul> </li> <li>communication <ul> <li>a: speaker</li> <li>b_set: set of receivers. Can be either a single receiver or several</li> <li>c: topic</li> <li>J: transmitted message in the form of</li> </ul> </li> <li>self_update <ul> <li>id: number of agent who is updating knowledge about itself</li> <li>Nl, Nt: number of dishonest/honest statements the agent has observed from itself so far</li> <li>I_<id>: knowledge that the agents has about itself after the update in the form of</li> <li>Jothers_<id1>_<id2>: last statement that the updating agent heared agent <id1> make about agent <id2></li> </ul> </li> <li>update <ul> <li>id: number of agent who is updating its knowledge</li> <li>I_<id1>: knowledge that the updating agent has about agent <id1> in the form of</li> <li>Jothers_<id1>_<id2>: last statement that the updating agent heared agent <id1> make about agent <id2></li> <li>Iothers_<id1>_<id2>: what the updating agent believes that agent <id1> thinks about agent <id2> after the update</li> <li>Cothers_<id1>_<id2>: what the updating agent believes after the update that agent <id1> wants it to think about agent <id2></li> <li>relationsc_<id>: number of conversations the updating agent has had with agent <id></li> <li>relationsm_<id>: number of messages the updating agent received about agent <id></li> <li>friendship+_to_<id>: the updating agent counts one friendly statement of agent <id>, i.e. the updating agent rates agent <id> now a little more as a friend</li> <li>friendship-_to_<id>: the updating agent counts one unfriendly statement of agent <id>, i.e. the updating agent rates agent <id> now a little more as an enemy</li> <li>new_K: normalized surprise the updating agent experienced in the last communication (used to calculate kappa)</li> <li>kappa: median of the last ten normalized surprises the updating agent experienced</li> </ul> </li> <li>final_status <ul> <li>id/name: number if the described agent</li> <li>x/fr_affinity/shyness: the agent's intrinsic personality traits</li> <li>I: the agent's knowledge about all others</li> <li>Nc/Nt/Nl: total number of conversations/honest statements/dishonest statements the agent has made</li> <li>relationsm/relationsc: number of messages (conversations) the agent heard about (had with) all others</li> <li>K: the last 10 normalized surprises the agent experienced</li> <li>kappa: the median of K</li> <li>friendships: the agent's friendship status with all others, given as parameters of a beta function</li> <li>Jothers/Iothers/Cothers: same as above, now as full array, i.e. the combined information about all others</li> <li>openess/mind/decepting/strategic/egocentric/deceptive/flattering/aggressive/shameless/disturbing: the agent's character traits</li> </ul> </li> </ul>
Ressources - Video games as a tool for ecological learning : the case of Animal Crossing - COROLLER & FLINOIS - 2023
<p>The present repository includes : </p> <ol> <li>Survey answers - 200 people, anonymized. Quizz about animals and vegetals that are and are not present in the game ANIMAL CROSSING NEW HORIZONS. Personal questions (age,, gender, location). Self assesment of "Naturalistic Fiber". At the end, question about the video game Animal CROSSING, and then free space</li> <li>Translated R code, based on the present dataset. Runs figures and tests used in our paper "Video games as a tool for ecological learning : the case of "Animal Crossing : New Horizons" during Covid-19 quarantine"</li> <li>The survey itself is available (in french unfortunately) at the following link : <a href="https://forms.gle/GgwULMcg8KnBqDt26">https://forms.gle/GgwULMcg8KnBqDt26</a>,<br> if the link is broken, please don't hesitate to contact me</li> <li>Nintendo Game Content guide at the following link : <a href="https://www.nintendo.co.jp/networkservice_guideline/en/index.html">https://www.nintendo.co.jp/networkservice_guideline/en/index.html</a></li> <li>Appendix (S1 : table of raw datas ; S2 : Normal and QQ plots)</li> <li>Approval of Ethical Research Committee of Université de Sherbrooke (Canada, QC)<br> </li> </ol> <blockquote> <p><em>" [...] furthermore, after reviewing the application for review, no ethical issues were identified by the committee.The committee notes that:The data were collected from a population of individuals who do not a priori present the characteristics of a vulnerable population; The risks associated with participation in the research are minimal; The data collected are anonymous; Individuals have been informed that the data may be used for scientific purposes; However, we remind you that in the future, any research project, as defined in the policy, must be approved by the research ethics committee before proceeding with the collection of data. Therefore, please accept this letter in lieu of an ethics certificate from the </em><em>Research Ethics Board - Education and Social Sciences of the Université de Sherbrooke. This letter may be used when submitting for publication or presentation of the results of this study or for any results of this study or for any other request related to the ethical approval of this project. "</em></p> <p><em>Mme Ariane Tessier<br> Coordonnatrice à l'éthique de la recherche - Université de Sherbrooke, CA QC</em></p> </blockquote> <p>If you have any problem with the present ressources, or if you want to work and publish works containing these datas, please contact me at : <br> simoncoroller.biologie@gmail.com CC : Simon.Coroller@usherbrooke.ca</p> <p>I would gladly discuss with you ! </p> <p>Best wishes.<br> <br> COROLLER & FLINOIS</p> <p> </p>
A Serious Game to Anticipate Handwriting Difficulties Screening Through Visual Perception Assessment - DATASET
<p>Each row in the dataset represents a subject. It contains:</p> <ul> <li>The answers to a characterization questionnaire</li> <li>The performance in the game described in the article</li> </ul>
Anadromous waters fish surveys by the Alaska Department of Fish and Game AKSSF Project 52007
<p>Geospatial data containing stream survey information for locations in Southeast Alaska. Surveys focused on identifying the presence of anadromous fish in freshwater streams while collecting ancillary fish habitat data.</p>
game_es_9th_generation_catalog
<p>This dataset, created for educational purposes, contains video games related information extracted from a Spanish company called GAME. </p>
Productos de PC Gaming en Amazon España
<p>Este conjunto de datos contiene información sobre los productos de PC Gaming disponibles en Amazon España. Se ha utilizado la técnica de web scraping para extraer la información de los productos de la página web de Amazon y se ha guardado en formato CSV. Cada fila del archivo contiene la descripción del producto, el precio, el descuento (si lo hay), la valoración, el número de valoraciones, el stock, la disponibilidad de envío Prime, la URL de la imagen y la fecha en que se extrajo la información.</p> <p>Fuente de datos: Amazon España</p> <p>Método de recopilación de datos: Web scraping con Python y Selenium</p> <p>Autor: Sergio Cobos García</p> <p>Fecha de creación: 25/04/2023</p> <p>Licencia: Released Under CC BY-NC-SA 4.0 License</p>
Steam_games
<p>Steam games dataset, which includes various columns of information, such as required_age, categories, achievements, average_playtime, median_playtime, owners and platforms.</p>
Figs 14–17 in New Zodariidae (Araneae) from Mkomazi Game Reserve, Tanzania
Figs 14–17. Diores similis sp. n. SEM views; female, Mkomazi (MRAC 215697): (14) female palp, dorsal view; (15) detail Of previOus shOwing mOdified pectinated setae and truncated chemOsensitive setae; male paratype, Mkomazi (MRAC 215731): (16) femoral organ leg 2, retrolateral view; (17) male palp, tibia, shOwing RTA. Scale bars: (14) = 100 μm, (15) = 200 μm, (16) = 20 μm, (17) = 50 μm.
Figs 56–60 in New Zodariidae (Araneae) from Mkomazi Game Reserve, Tanzania
Figs 56–60. Ranops dippenaarae sp. n. male (MRAC 215713) and female (MRAC 215719), Mkomazi: (56) male palp, retrolateral view; (57) idem, ventral view; (58) epigyne, ventral view; (59) epigyne, cleared, dOrsal view; (60) idem, ventral view. Scale bars: (56, 57) = 200 μm, (58–60) = 100 μm.
Figs 64–69 in New Zodariidae (Araneae) from Mkomazi Game Reserve, Tanzania
Figs 64–69. Ranops dippenaarae sp. n. male (64, 65) and female (66–69) (MRAC 215520), Mkomazi: (64) male palp, retrolateral view; (65) idem, ventral, slightly retrolateral view; (66) epigyne, digested, dOrsal view; (67) female, femOral Organ amidst flattened incised setae On leg 2; (68) flattened setae pOinting fOrwards, in frOnt Of fOvea; (69) flattened incised setae On tip Of tibia 4. Scale bars: (64–66) = 100 μm, (67) = 20 μm, (68, 69) = 50 μm.
Figs 52–55 in New Zodariidae (Araneae) from Mkomazi Game Reserve, Tanzania
Figs 52–55. Ranops dippenaarae sp. n. male (MRAC 215713) and female (MRAC 215719), Mkomazi: (52) male habitus, dorsal view; (53) idem, ventral view; (54) female habitus, dorsal view; (55) idem, ventral view. Scale bar = 0.5 mm.
Figs 45–47 in New Zodariidae (Araneae) from Mkomazi Game Reserve, Tanzania
Figs 45–47. Heradida minutissima sp. n. male and female, Mkomazi (MRAC 215727): (45) male palp, ventral view; (46) idem, retrOlateral view; (47) epigYne, ventral view. Scale bars = 50 μm.
Figs 10–13 in New Zodariidae (Araneae) from Mkomazi Game Reserve, Tanzania
Figs 10–13. (10–12) Diores similis sp. n. male and female, Mkomazi (MRAC 215733): (10) male palp, retrolateral view; (11) idem, ventral view; (12) epigyne, ventral view; (13) D. murphyorum Jocqué, 1991, female, MkOmazi (MRAC 215734): epigYne, ventral view. Scale bars = 200 μm.
Figs 41–44 in New Zodariidae (Araneae) from Mkomazi Game Reserve, Tanzania
Figs 41–44. Heradida minutissima sp. n. male and female, Mkomazi (MRAC 215727): (41) male habitus, dorsal view; (42) idem, ventral view; (43) female habitus, dorsal view; (44) idem, ventral view. Scale bar = 0.5 mm.
Figs 27–29 in New Zodariidae (Araneae) from Mkomazi Game Reserve, Tanzania
Figs 27–29. Dusmadiores lamellatus sp. n. male paratype (MRAC 215725), female (MRAC 215716) Mkomazi: (27) male palp, ventral view; (28) idem, retrolateral view; (29) epigyne, cleared, dorsal view. Scale bars: (27, 28) = 100 μm, (29) = 200 μm.
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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.