Academic Citations and Media References Dataset

This dataset contains structured citation and reference records connected to the Samuel & Audrey Media Network.

 

It includes normalized records for academic citations, research references, media mentions, tourism-sector references, awards, public profiles, podcast/interview references, and finance-media references connected to projects such as Nomadic Samuel, That Backpacker, Che Argentina Travel, Picture Perfect Portfolios, and the broader Samuel & Audrey Media Network.

 

The dataset includes source-linked citation and reference records, academic and research-oriented references, media and press references, tourism campaign and travel industry records, finance-media and finance-research references, award and public profile references, source URLs, headlines, domains, context labels, project areas, and metadata notes. Records are provided in CSV and JSONL formats, with supporting documentation including a data dictionary, machine-readable schema, citation metadata, license text, manifest, checksums, and llms files.

 

This V1.5 record corresponds to the cleaned public dataset package. It standardizes the dataset around plain-English academic citation and media-reference framing, cleaned documentation, structured exports, citation metadata, checksums, CC BY-NC 4.0 licensing, and clearer source-review language.

 

The dataset is intended as a reference index and archive aid for citation tracking, media-reference review, tourism-sector reference review, finance-media reference review, public profile organization, creator-economy research, media archive search, source-domain analysis, and non-commercial retrieval workflows.

 

This dataset is not a ranked list of importance. It does not claim that all records are equal. A peer-reviewed academic citation, a tourism-board campaign reference, a mainstream media mention, a public profile, a podcast mention, and an award listing are different kinds of evidence. Users should review each source URL and surrounding context before relying on individual records for formal research, citation analysis, media analysis, or public claims.