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16 results for “eSports”

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zenodo40/100

SC2EGSet: StarCraft II Esport Game State Dataset

<p><strong>SC2EGSet: StarCraft II Esport Game State Dataset</strong></p> <p>This repository contains pre-processed data that was generated from the <a href="https://doi.org/10.5281/zenodo.5575796">SC2ReSet: StarCraft II Esports Replaypack Set</a></p> <p><strong>Data Modeling</strong></p> <p>Our official aplication programing interface (API) implementation supports downloading, unpacking, loading and data access features. Please refer to: <a href="https://github.com/Kaszanas/SC2_Datasets">GitHub SC2_Datasets</a></p> <p><strong>License Information</strong></p> <p>This dataset is licensed under the following license: Creative Commons Attribution&nbsp;4.0 International (CC BY&nbsp;4.0 International)</p> <p><strong>Changelog</strong></p> <p>Please refer to the CHANGELOG.md file within this repository for full changelog.</p> <p><strong>Citation</strong></p> <p>If you use this dataset you can chose to cite the projects and/or articles presented below.</p> <p><strong><a href="https://www.researchgate.net/publication/373767449_SC2EGSet_StarCraft_II_Esport_Replay_and_Game-state_Dataset">Dataset Description Pre-print</a></strong></p> <p>To cite the article that introduces <a href="https://doi.org/10.5281/zenodo.5575796">SC2ReSet</a> and <a href="https://doi.org/10.5281/zenodo.5503997">SC2EGSet</a> use this:</p> <div> <div>```<br>@article{Bialecki2023,</div> <div>&nbsp; author &nbsp; = {Bia{\l}ecki, Andrzej</div> <div>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; and Jakubowska, Natalia</div> <div>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; and Dobrowolski, Pawe{\l}</div> <div>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; and Bia{\l}ecki, Piotr</div> <div>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; and Krupi{\'{n}}ski, Leszek</div> <div>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; and Szczap, Andrzej</div> <div>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; and Bia{\l}ecki, Robert</div> <div>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; and Gajewski, Jan},</div> <div>&nbsp; title &nbsp; &nbsp;= {SC2EGSet: StarCraft II Esport Replay and Game-state Dataset},</div> <div>&nbsp; journal &nbsp;= {Scientific Data},</div> <div>&nbsp; year &nbsp; &nbsp; = {2023},</div> <div>&nbsp; month &nbsp; &nbsp;= {Sep},</div> <div>&nbsp; day &nbsp; &nbsp; &nbsp;= {08},</div> <div>&nbsp; volume &nbsp; = {10},</div> <div>&nbsp; number &nbsp; = {1},</div> <div>&nbsp; pages &nbsp; &nbsp;= {600},</div> <div>&nbsp; issn &nbsp; &nbsp; = {2052-4463},</div> <div>&nbsp; doi &nbsp; &nbsp; &nbsp;= {10.1038/s41597-023-02510-7},</div> <div>&nbsp; url &nbsp; &nbsp; &nbsp;= {https://doi.org/10.1038/s41597-023-02510-7}</div> <div>}<br>```</div> <div>&nbsp;</div> <div><strong><a href="https://doi.org/10.5281/zenodo.5575796">SC2ReSet: StarCraft II Esport Replaypack Set</a></strong></div> </div> <p>To cite the replay collection that was used to generate the dataset use this:</p> <pre><code>@dataset{bialecki_andrzej_2022_5575797, author = {Białecki, Andrzej}, title = {SC2ReSet: StarCraft II Esport Replaypack Set}, month = mar, year = 2025, publisher = {Zenodo}, version = {2.0.0}, doi = {10.5281/zenodo.5575797}, url = {https://doi.org/10.5281/zenodo.5575797} } </code></pre>

opencc-by-4.0Jun 2022View details →
zenodo40/100

Dataset: Global X Video Games & Esports ETF (HERO) Stock Performance

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

opencc-zeroJun 2024View details →
zenodo36/100

Algoritmo de Primeiros Socorros no Esporte

<p>Esta produ&ccedil;&atilde;o foi realizada de modo complementar ao&nbsp;material &ldquo;Primeiros Socorros no Esporte&rdquo;, desenvolvido pela Liga&nbsp;Acad&ecirc;mica de Cardiologia e Pneumologia (LACAP-UNIRIO) com o&nbsp;apoio da equipe do projeto de extens&atilde;o interinstitucional Re+a&ccedil;&atilde;o Rio:&nbsp;Esporte e Cultura. Neste est&atilde;o descritos, na forma de fluxogramas, os<br>cursos de a&ccedil;&atilde;o nas seguintes situa&ccedil;&otilde;es de emerg&ecirc;ncia no esporte:&nbsp;concuss&atilde;o, hemorragias, traumas musculoesquel&eacute;ticos, engasgo,&nbsp;desmaio, convuls&atilde;o e parada cardiorrespirat&oacute;ria. O presente material&nbsp;foi feito com o intuito de fixar o conte&uacute;do discutido na apresenta&ccedil;&atilde;o&nbsp;supracitada, a fim de facilitar a presta&ccedil;&atilde;o dos primeiros socorros por&nbsp;instrutores de esportes capacitados.</p>

opencc-by-nc-4.0Jul 2024View details →
ClinicalTrials.gov36/100

Neuromuscular Training in Professional Esports Players

ClinicalTrials.gov study NCT07325396. IPD Sharing: NO. Countries: 1. Publications: 7.

closedIPD-NOFeb 2026View details →
zenodo32/100

SC2ReSet: StarCraft II Esport Replaypack Set

<p><strong>SC2ReSet: StarCraft II Esport Replaypack Set</strong></p> <p>This repository contains raw&nbsp;data that was used to generate&nbsp;<a href="https://doi.org/10.5281/zenodo.5503997">SC2EGSet: StarCraft II Esport Game State Dataset</a></p> <p><strong>License Information</strong></p> <p>Raw StarCraft II data is subject to processing under the Blizzard end user license agreement (EULA), and in special cases Blizzard AI and Machine Learning License may be applied. Please refer to the materials listed below.</p> <ol> <li><a href="https://www.blizzard.com/en-us/legal/fba4d00f-c7e4-4883-b8b9-1b4500a402ea/blizzard-end-user-license-agreement">https://www.blizzard.com/en-us/legal/fba4d00f-c7e4-4883-b8b9-1b4500a402ea/blizzard-end-user-license-agreement</a></li> <li><a href="https://blzdistsc2-a.akamaihd.net/AI_AND_MACHINE_LEARNING_LICENSE.html">https://blzdistsc2-a.akamaihd.net/AI_AND_MACHINE_LEARNING_LICENSE.html</a></li> </ol> <p><strong>Citation</strong></p> <p>If you use this dataset you can chose to cite the projects and/or articles presented below.</p> <p><a href="https://www.researchgate.net/publication/373767449_SC2EGSet_StarCraft_II_Esport_Replay_and_Game-state_Dataset"><strong>Dataset Description Article</strong></a></p> <p>To cite the article that introduces <a href="https://doi.org/10.5281/zenodo.5575796">SC2ReSet</a> and <a href="https://doi.org/10.5281/zenodo.5503997">SC2EGSet</a> use this:</p> <blockquote> <p><br>@article{Białecki2023,<br>&nbsp; author &nbsp;= {Bia{\l}ecki, Andrzej<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;and Jakubowska, Natalia<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;and Dobrowolski, Pawe{\l}<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;and Bia{\l}ecki, Piotr<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;and Krupi{\'{n}}ski, Leszek<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;and Szczap, Andrzej<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;and Bia{\l}ecki, Robert<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;and Gajewski, Jan},<br>&nbsp; title &nbsp; = {SC2EGSet: StarCraft II Esport Replay and Game-state Dataset},<br>&nbsp; journal = {Scientific Data},<br>&nbsp; year &nbsp; &nbsp;= {2023},<br>&nbsp; month &nbsp; = {Sep},<br>&nbsp; day &nbsp; &nbsp; = {08},<br>&nbsp; volume &nbsp;= {10},<br>&nbsp; number &nbsp;= {1},<br>&nbsp; pages &nbsp; = {600},<br>&nbsp; issn &nbsp; &nbsp;= {2052-4463},<br>&nbsp; doi &nbsp; &nbsp; = {10.1038/s41597-023-02510-7},<br>&nbsp; url &nbsp; &nbsp; = {https://doi.org/10.1038/s41597-023-02510-7}<br>}<br>&nbsp;</p> </blockquote>

openother-ncJun 2022View details →
ClinicalTrials.gov32/100

Effectiveness of Ergonomics Training and Exercise in Esports Players

ClinicalTrials.gov study NCT06415578. IPD Sharing: NO. Countries: 1. Publications: 5.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Efficacy of Red Kinesiology Tape on Carpal Tunnel-Like Symptoms and Performance in Esports Gamers

ClinicalTrials.gov study NCT06757062. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Effects of Caffeine, L-Theanine, and Diaphragmatic Breathing on Esports Players' Performance

ClinicalTrials.gov study NCT06621797. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Comparison of Mental Skills of Professional Esports Players With Different Levels of Physical Activity

ClinicalTrials.gov study NCT05372276. IPD Sharing: NO. Countries: 1. Publications: 3.

closedIPD-NOFeb 2026View details →
zenodo28/100

Dataset: VanEck Video Gaming and eSports ETF (ESPO) Stock Performance

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

opencc-zeroJun 2024View details →
ClinicalTrials.gov28/100

Can Different Exercise Modalities Improve Esports Performance?

ClinicalTrials.gov study NCT07150312. IPD Sharing: NO. Countries: 0. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Mental Fatigue on Reaction Time and Game Performance in Esport Players

ClinicalTrials.gov study NCT06729060. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

The Effect of Aerobic Exercise Training on Collegiate eSport Team Players

ClinicalTrials.gov study NCT05317104. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Evaluation of the Protective Effects of Cordyceps Cicadae on Visual Function and Anti-Fatigue Performance in Esports Athletes

ClinicalTrials.gov study NCT07135193. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Investigating the Effects of Diet and Physical Activity on Esport Performance

ClinicalTrials.gov study NCT05881018. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Efficacy of Dorsal Kinesio Tape Application for Carpal Tunnel Syndrome in Esports Gamers: A Randomized Clinical Trial

ClinicalTrials.gov study NCT06993090. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record