GitHub Portfolio

Repositories

Open data, codebooks, analysis pipelines, and stimuli sets from my research — all in one place.

Check out my portfolio via GitHub [link below], or enjoy a scroll through this page (+ an embedded interative Shiny app for the MUSIFEAST-17 stimulus set!).

github.com/HazelvdW

Basslines-Bodies-BeehiveHaircuts

Favourite project so far :) Qualitative Mixed-methods

Qualitative mixed-method analysis of participants' music-influenced mental content (MIMC) descriptions, listening to 10 genres of music. 14,091 descriptions — codebook, data, stimuli, co-occurrence network analysis, plus fully auditable decision log.

Qualitative thematic analysis Co-occurrence networks 10 music genres 14,091 free response MIMC descriptions

context-framed-listening

Python R NLP

Computational NLP text analysis pipeline testing context-framed listening. Two complementary pipelines (sentence/word embedding), calculating semantic similarity of free-text MIMC descriptions to same/different music clips/genres and context cues.

Semantic similarity MiniLM TF-IDF

MUSIFEAST-17

Shiny app R Openly available stimuli

356 instrumental 30-second clips across 17 genres, + normative data from 701 UK & US participants (ages 18–75). Ratings of familiarity, enjoyment, emotional expression, genre recognition, and thought types. Shiny/Plotly app included for fun interactive exploration of the stimulus set!

Normative data 17 music genres 356 music stimuli clips 701 participants

✦ Interactive MUSIFEAST-17 Explorer

Plot any two normative variables against each other across all 356 clips — filter by genre, click any point to play its audio clip directly in your browser. Powered by Shiny + Plotly, running entirely client-side via WebAssembly. Allow ~30–60s for the R runtime to start up on first load.

Related Project Repos

MUSIFEAST17-audio (Tuomas Eerola) audio feature extraction

Audio features

Audio features for MUSIFEAST-17 extracted independently with MIR Toolbox by Tuomas Eerola. Full feature set and a reduced 33-feature set available.

OSF

(Open Science Framework)

MUSIFEAST-17 — OSF Repository

Open Data

All MUSIFEAST-17 music stimuli, normative data tables, and supplementary materials. The canonical open archive for the dataset.