Published research sleep report · Italian · original text
Buying the Blue iPhone in the Beautiful Apple Store
Anonymous research participant
Individual traits and experiences predict the content of dreams — public main-study data (2026) · derivatives/dataset1_dream_table_v20240430.mat, MATLAB table row 380 (one-based), field txt_cleaned; MCOS string index 379
Ero in un apple store molto bello, molto di design, e stavo acquistando un iPhone di colore blu e avevo il commesso che mi stava spiegando, diciamo le funzionalità del telefono. Comunque, diciamo, ero molto ovviamente emozionato dalla situazione ecco di acquisto in generale e ovviamente poi non vedevo l'ora di uscire dal negozio per usare il telefono.
Source & context
A deidentified Italian dream report from the public main-study dataset for Individual traits and experiences predict the content of dreams. The original researchers cleaned the transcript and replaced identifying details; their published text and bracket markers are preserved. This is a research report, not a Synastry community submission or a count of distinct people.
Valentina Elce, Giulio Bernardi and Giacomo Handjaras (2026), data release for Individual traits and experiences predict the content of dreams, Zenodo DOI 10.5281/zenodo.15230218, CC BY 4.0; anonymous participant dream report. Dataset creators are not the dreamers.
No individual dream date is supplied in this publication projection. The source release year is not a dream date.
CC BY 4.0 applies to the original authors’ public data release. The study records written consent and deidentification. Dataset creators receive attribution, separate from the unnamed dreamer. Original released text is preserved; the story title and navigation themes are editorial additions.
Source locator and text provenance
derivatives/dataset1_dream_table_v20240430.mat, MATLAB table row 380 (one-based), field txt_cleaned; MCOS string index 379
The original text and redactions are preserved. The page title is an editorial navigation label.
Exact released txt_cleaned string decoded from the public MATLAB MCOS UTF-16LE string array. Source researchers verified transcripts, redacted identifying names/places, pruned commentary and false starts/repetitions, normalized punctuation/spelling/regionalisms and spelled out numbers. No local prose edits, translation, trimming or new redaction; all released whitespace and [NAME]/[PLACE]/[INSTITUTION]/[MISS] markers retained.
- Account text SHA-256
- 6ca317f2332d9b96cd125180303be86e6e1cb0582d85c2bd3c1906c6d6b703fe
- Source file SHA-256
- 9785978617746b107707534733b2c132a6bcaea18f479995856e6f31db24e1e8
Connections in the Loom
Titles, theme labels, illustrations and map connections are editorial navigation aids. They are separate from the account’s words and do not establish connections between real people.