Researchers have introduced the National Running Club Database (NRCD), the first large-scale, openly available dataset of collegiate running performances. The database contains over 128,000 performances from more than 28,000 athletes across 1,300 meets, spanning from 2004 to 2026. It includes detailed metadata such as course distance, elevation, and weather conditions for many races, along with a unified performance standardization framework. This resource aims to support various research areas, including longitudinal athlete modeling, environmental factor studies, and gender-equity research in collegiate sports. AI
IMPACT Provides a standardized dataset and tools to advance research in athlete performance modeling and environmental confounders in sports.
RANK_REASON The cluster describes a new academic paper introducing a dataset and standardization framework. [lever_c_demoted from research: ic=2 ai=0.4]
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- Hugging Face
- IArxiv
- MileSplit
- National Running Club Database
- Python
- TFRRS
- alphaXiv
- arXiv
- CatalyzeX
- DagsHub
- Gotit.pub
- ScienceCast
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