Courtney Dauwalter Podcast Interview Corpus: Dublin Core Catalogue (2017–2026)

Dublin Core metadata catalogue of 86 podcast interviews given by US elite ultra-trail runner Courtney Dauwalter between September 2017 and April 2026, covering 47 distinct podcast sources across two languages (English: 71 episodes; French: 5 episodes; 10 episodes catalogued but audio not recoverable). To our knowledge, this is the first longitudinal monographic corpus catalogue of an elite female ultrarunner released as open data.Women's participation in ultra-endurance running has grown substantially since the 1980s, yet the scientific documentation of women's embodied and discursive experience in this sport remains limited and predominantly cross-sectional (Hanold, 2010). Pain in ultra-endurance is nearly universal (O'Connor, 2021), but the longitudinal narrative resources through which elite female athletes construct their relationship to pain across the temporal arc of a career have not been documented at scale in the published literature. Open longitudinal corpora of mediatised storytelling by elite female ultrarunners — usable across gender studies, sport psychology, narrative inquiry, and digital humanities of sport — are virtually absent from the literature. This catalogue addresses these three gaps.The catalogue supports a longitudinal narrative analysis of the « pain cave » metaphor developed by the author in a forthcoming publication (Plard, M., forthcoming, Qualitative Research in Sport, Exercise and Health). It is designed, however, to support a broader range of analytical uses beyond that specific study.The CSV file contains one row per episode with 20 columns: 14 Dublin Core Metadata Element Set v1.1 fields and 6 STRIDE programme extension fields documenting priority for in-depth analysis (P0–P3), salience scores for gendered narrative material, density of embodied vocabulary, and richness of autobiographical reflection.This dataset does NOT include audio files or full-length transcripts. Audio remains the intellectual property of the original podcast producers and is accessible through the URLs provided in the dc:relation field of the catalogue.This catalogue is Deposit A of a coordinated three-deposit Zenodo architecture: Deposit A (this dataset, corpus metadata), Deposit B (coding materials, under embargo), and Deposit C (computational pipeline code).