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English(EN) NRCD: An Open Database of Collegiate Running with Unified Performance Standardization

新的开放数据库为研究标准化大学跑步数据

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员推出了国家跑步俱乐部数据库（NRCD），这是首个大规模、公开可用的大学跑步成绩数据集。该数据库包含来自 28,000 多名运动员的 128,000 多项成绩，涵盖 1,300 场比赛，时间跨度从 2004 年到 2026 年。它包括详细的元数据，如许多比赛的赛道距离、海拔和天气条件，以及统一的性能标准化框架。该资源旨在支持各种研究领域，包括纵向运动员建模、环境因素研究和大学体育中的性别平等研究。 AI

影响 提供标准化的数据集和工具，以推进运动员表现建模和体育环境混淆因素的研究。

排序理由 该集群描述了一篇介绍数据集和标准化框架的新学术论文。[lever_c_demoted from research: ic=2 ai=0.4]

在 arXiv cs.IR (Information Retrieval) 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

新的开放数据库为研究标准化大学跑步数据

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该集群描述了一篇介绍数据集和标准化框架的新学术论文。[lever_c_demoted from research: ic=2 ai=0.4]
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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Jonathan A. Karr Jr., Ryan M. Fryer, Ben Darden, Nicholas Pell, Kayla Ambrose, Evan Hall, Ramzi K. Bualuan, Nitesh V. Chawla ·

    NRCD：一个统一性能标准的大学跑步公开数据库

    arXiv:2608.14776v1 Announce Type: new Abstract: Collegiate running in the United States generates thousands of race results annually in cross country and track and field, yet no large-scale dataset has been publicly available for research. Existing websites such as Athletic.net, …

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Nitesh V. Chawla ·

    NRCD：一个统一性能标准的大学跑步公开数据库

    Collegiate running in the United States generates thousands of race results annually in cross country and track and field, yet no large-scale dataset has been publicly available for research. Existing websites such as Athletic.net, MileSplit, and TFRRS host results but do not sup…

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