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8 results for “League of Legends”
Partidas profesionales de League of Legends correspondientes a de WORLDS, LEC y LCS 2020.
<p>Dataset generado mediante web scraping para la asignatura de Tipología y ciclo de vida de los datos, perteneciente al Máster Universitario de Ciencia de Datos en la UOC. El dataset contiene 600 mapas de partidas profesionales de League of Legends de los torneos WORLDS, LEC y LCS de 2020. </p> <p>En cada partida se recogen todo tipo de variables, desde el resultado del mapa, los equipos que lo juegan, los campeones utilizados, los jugadores de cada equipo, una gran cantidad de estadísticas del juego, etc.</p>
League of Legends KR High Elo 5v5 Match Data
<p>League of Legends KR High Elo 5v5 Match Data</p> <p>Related project link: <a href="https://github.com/JohnsonJDDJ/zilean">GitHub</a></p> <p>The dataset is retrieved using the <a href="https://developer.riotgames.com/apis">Riot API</a>. For documentation of the API please visit the website.</p> <p>The dataset contains information about all League of Legends KR server challengers (n=300) as of 2022-06-12. The account information is stored in<strong> accounts.json</strong>, whereas the information about the challenger league is in <strong>kr_challenger_league.json</strong>. </p> <p>Match data was retrieved from the 5 most recent 5v5 ranked solo matches for each challenger account. There are in total 2166 unique matches. The matches are further cleaned only to include games that last more than 16 minutes (n=2078), which are stored in <strong>matches.json.</strong></p>
League of Legends Illicit Bot Prevalence Data
<p>Data set for investigating and measuring illicit bot prevalence in North American and Western Europe League of Legends PvP matches associated with</p> <p>C. S. Lee and I. Ramler, "Rise of the bots: Bot prevalence and its impact on match outcomes in league of Legends," <em>2015 International Workshop on Network and Systems Support for Games (NetGames)</em>, Zagreb, 2015, pp. 1-6.<br> doi: 10.1109/NetGames.2015.7382992</p> <p>Description of Variables:</p> <ul> <li>level: level of summoner</li> <li>matchId: de-identified identification number for match</li> <li>winner: flag indicating whether or not the team won</li> <li>kill: number of kills</li> <li>death: number of deaths</li> <li>assist: number of kills</li> <li>timeCreated: match creation time (UTC-05 for N. Amer, UTC-00 for EUW)</li> <li>duration: match duration (seconds)</li> <li>matchType: match type</li> <li>numOfRunes: number of runes</li> <li>numOfMasteries: number of masteries</li> <li>isBot: Flag indicating whether or not the player is a bot</li> </ul>
League of Legends Team Composition Data
<p>Data set for investigating team compositions in Legend of Legends. See the readme file for file and variable descriptions.</p>
League of Legends Match Data at Various Time Intervals
<p>This dataset comprises comprehensive information from ranked matches played in the game League of Legends, spanning the time frame between January 12, 2023, and May 18, 2023. The matches cover a wide range of skill levels, specifically from the Iron tier to the Diamond tier.</p> <p>The dataset is structured based on time intervals, presenting game data at various percentages of elapsed game time, including 20%, 40%, 60%, 80%, and 100%. For each interval, detailed match statistics, player performance metrics, objective control, gold distribution, and other vital in-game information are provided.</p> <p>This collection of data not only offers insights into how matches evolve and strategies change over different phases of the game but also enables the exploration of player behavior and decision-making as matches progress. Researchers and analysts in the field of esports and game analytics will find this dataset valuable for studying trends, developing predictive models, and gaining a deeper understanding of the dynamics within ranked League of Legends matches across different skill tiers.</p>
League of Legends - Health Potion
Health potion from the popular MoBA League of Legends. Im basically planning to do a series of these. So expect more in the coming future. Source: Objaverse 1.0 / Sketchfab
League of Legends and hate speech: a corpus for comments in Twitch.tv
<p>League of Legends (LOL) is the most popular game on PC, drawing 8 million concurrent players. A common activity of gamers, besides playing games, is to watch other players presenting tips and tricks. Streaming platforms allow some players to show gameplays and live games. <a href="https://www.twitch.tv/">Twitch.tv</a> is the world´s leading live streaming platform. </p> <p>Considering that hate speech is a ubiquitous problem in online gaming, we collected 985,766 comments from five videos of the top 10 LOL streamers in Twitch.tv platform. </p> <p>The dataset is freely available in a single file, ensembling all videos/players; and divided by players as well. </p> <p>These comments are a rich data source for opinion mining, sentiment analysis, topic modeling, and hate speech detection (including sexism and racism).</p> <ul> </ul>
League of Legends' Champion Statistics by server. End Season 11.
<p>This dataset contains the statistic data related to each League of Legends champion's profile of the op.gg webpage. It contains data related to every champion within the last month of ranked season 11. It has been created only for educational purposes with a web scraper based on scrapy.</p>
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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.