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9 results for “pokemon”
Nexus and data files for Pokemon Evolutionary Phylogeny
<p>Data files associated with the following publication:</p> <p>Matan Shelomi, Andrew Richards, Ivana Li, Yukinari Okido. (2012) “A Phylogeny and Evolutionary History of the Pokémon.” Annals of Improbable Research, 18(4): 15-17.</p> <p>Free to use for educators and researchers hoping to use the Pokémon to teach evolution, phylogenetics, etc. Cite in publications as you see fit.<br /> These datasets contain Pokémon up to the 5th generation. Researchers are welcome to produce new, updated datasets so long as they cite our original work, either this dataset and/or the Annals of Improbable Research paper.</p>
Pokemon Dataset from Wikidex.net Webscraping
<p>Dataset created for the PR1 of <strong>M2.851 </strong><strong>Tipología y Ciclo de Vida de los Datos (UOC, 2023-2)</strong></p> <p>By Laura Lidón and Carlos Juan.</p> <p>Webscraping of www.wikidex.net</p> <p>For each Pokémon, the following variables or attributes are shown:</p> <ul> <li> <p>NumNacional (int): identifying number of the Pokémon.</p> </li> <li> <p>Nombre (text): Pokémon's name in Spanish.</p> </li> <li> <p>NombreJapo (text): Pokémon's name in Japanese and (romanized).</p> </li> <li>Evoluciona (bool): Flag to indicate if the Pokemon evolves</li> <li> <p>Generación(text): the generation to which the Pokémon belongs</p> </li> <li> <p>Categoría(text): brief description of the Pokémon.</p> </li> <li> <p>Tipos(text):elemental types to which the Pokémon belongs. It can have 1 or 2 types, separated by "|".</p> </li> <li> <p>Habilidades (text)<strong>:</strong> main ability or abilities that a Pokémon species can have. It can have 1 or 2 types, separated by "|".</p> </li> <li> <p>Hab.Oculta (text)<strong>:</strong> ability that Pokémon of the same species uncommonly exhibit. It can have None or 1.</p> </li> <li> <p>Peso (float): average weight of the Pokémon in Kg.</p> </li> <li> <p>Altura (float): average height of the Pokémon in m.</p> </li> <li> <p>GrupoHuevo (text): compatibility group for Pokémon breeding. It can belong to two different egg groups.</p> </li> <li> <p>Sexo (text): proportion of Pokémon belonging to one gender or the other (M|F).</p> </li> <li> <p>Color (text): description of the Pokémon's main color.</p> </li> <li> <p>PS_Max (int): maximum value of the Pokémon's Hit Points.</p> </li> <li> <p>At_Max (int): maximum value of the Pokémon's physical attack.</p> </li> <li> <p>Def_Max (int): maximum value of the Pokémon's special attack.</p> </li> <li> <p>AtEsp_Max (int): maximum value of the Pokémon's physical defense.</p> </li> <li> <p>DefEsp_Max (int): maximum value of the Pokémon's special defense.</p> </li> <li>Vel_Max (int): maximum value of the Pokémon's speed.<strong></strong></li> <li>PE_PS (int): Effort points of HP given when defeated</li> <li>PE_At (int): Effort points of Atack given when defeated</li> <li>PE_Def (int): Effort points of Defense given when defeated</li> <li>PE_AtEsp (int): Effort points of Special Atack given when defeated</li> <li>PE_DefEsp (int): Effort points of Special defense given when defeated</li> <li>PE_Vel (int): Effort points of Speed given when defeated</li> </ul> <p> </p>
Pokemon: combination of in-game stats and pokedex descriptors
<p>Recopilation of all 1025 pokemon along with their in-game stats and a sort description from their latest appearance in the pokedex</p>
Twitch Plays Pokemon Dataset
<p>The dataset, titled the Twitch Plays Pokemon Dataset, contains 37.8 million IRC chat messages. It contains IRC chat log data for messages made between February 2, 2014 and April 23, 2014 (68 days). Each line denotes a single IRC chat message.</p> <p>Sample of the dataset:</p> <pre><code><date>2014-02-14</date><time>08:17:32</time><user>medicblue</user><msg>a</msg> <date>2014-02-14</date><time>08:17:32</time><user>murderousburger</user><msg>rare candy, RARE CANDY</msg> <date>2014-02-14</date><time>08:17:32</time><user>milk2978</user><msg>B</msg> <date>2014-02-14</date><time>08:17:32</time><user>mrtiktalik</user><msg>b</msg> <date>2014-02-14</date><time>08:17:32</time><user>dualhammers</user><msg>b</msg> <date>2014-02-14</date><time>08:17:32</time><user>shares5</user><msg>YES</msg> <date>2014-02-14</date><time>08:17:32</time><user>orangerust</user><msg>start</msg> <date>2014-02-14</date><time>08:17:32</time><user>snowiee</user><msg>a</msg> <date>2014-02-14</date><time>08:17:33</time><user>duroate</user><msg>down</msg> <date>2014-02-14</date><time>08:17:33</time><user>crypticcraig</user><msg>up</msg> <date>2014-02-14</date><time>08:17:33</time><user>doug2725</user><msg>LOL HELIX FOSSIL WENT BACK THAT FAR</msg></code></pre> <p><strong>Abstract</strong></p> <p>With the increasing importance of online communities, discussion forums, and customer reviews, Internet “trolls” have proliferated thereby making it difficult for information seekers to find relevant and correct information. In this paper, we consider the problem of detecting and identifying Internet trolls, almost all of which are human agents. Identifying a human agent among a human population presents significant challenges compared to detecting automated spam or computerized robots. To learn a troll’s behavior, we use contextual anomaly detection to profile each chat user. Using clustering and distance-based methods, we use contextual data such as the group’s current goal, the current time, and the username to classify each point as an anomaly. A user whose features significantly differ from the norm will be classified as a troll. We collected 38 million data points from the viral Internet fad, Twitch Plays Pokemon. Using clustering and distance-based methods, we develop heuristics for identifying trolls. Using MapReduce techniques for preprocessing and user profiling, we are able to classify trolls based on 10 features extracted from a user’s lifetime history.</p> <p>You can view the full technical paper here: <a href="https://arxiv.org/abs/1902.06208">https://arxiv.org/abs/1902.06208</a></p> <p><strong>Source Code</strong></p> <p>Code related to this dataset can be found at: <a href="https://github.com/ahaque/twitch-troll-detection">https://github.com/ahaque/twitch-troll-detection</a></p>
Pokemon Go and Physical Activity
ClinicalTrials.gov study NCT02888314. IPD Sharing: NO. Countries: 1. Publications: 1.
POKEMON CARDS 7/9
free download fbx file shush ur mouth Source: Objaverse 1.0 / Sketchfab
Effects of Playing Pokemon Go on Physical Activity
ClinicalTrials.gov study NCT03757676. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Testing the Efficacy of Pokemon Go for Increasing Physical Activity
ClinicalTrials.gov study NCT03109509. IPD Sharing: NO. Countries: 0. Publications: 0.
Genes Differentially Expressed as a Result of Enforced Pokemon Expression in MCF-7 cell
GEO Series GSE27442. Homo sapiens. 1 samples. Type: Expression profiling by array.
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