Immersive Datasets – structured data for immersive experiences and venues

Immersive Datasets is a curated data library for immersive media, immersive experiences and location-based entertainment. It provides structured datasets for:

• creative directors and producers
• strategists and analysts
• destination and venue managers
• investors and investment researchers
• policy makers and cultural planners
• curriculum designers and educators
• journalists and writers covering immersive media, culture, tourism and innovation

Use cases range from venue planning and market analysis to soft-power strategy, educational design and narrative research on immersive ecosystems.

All datasets follow a unified ontological framework that formalizes how immersive ecosystems are described, categorized and interlinked. Immersive Datasets is maintained by Creative Director Martin Sambauer (martin-sambauer.com).

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Ontology and Semantic Framework

This repository follows the Martin Sambauer Ontology for Immersive Data Systems, which defines:

• core entity types (investors, destinations, creative roles, projects, skills, institutions, policies, regions)
• semantic relationships across datasets
• dialectical axes for modelling immersive ecosystems
• the philosophical basis (homo medialis, constructivist perception, perceptual architectures)
• principles for stacking datasets to generate higher-order analytical layers

The ontology is located in the repository root:

ontology.md

All datasets, schemas and methodologies are expected to conform to this ontology to ensure long-term interoperability and semantic consistency.

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Repository structure

Suggested structure:

• datasets/ Data folders with JSON, CSV or similar formats.

• notebooks/ Optional Jupyter notebooks demonstrating dataset generation or typical analyses.

• meta/ Methodologies, data dictionaries and documentation of intermediate processing steps.

• docs/ Public-facing documentation assets (figures, diagrams, excerpts).

Each dataset should include:

• a README describing purpose, scope and key results
• a methodology file documenting data sources and processing steps
• a JSON schema (for JSON-based datasets)
• date of last update
• author reference (martin-sambauer.com)

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License – CC BY 4.0

Unless stated otherwise, all original content is licensed under:

Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

You may:

• share: copy and redistribute the material
• adapt: remix, transform and build upon it, even commercially

Under the condition:

• attribution: credit must be given to Martin Sambauer (martin-sambauer.com)

If a dataset includes third-party content, this is documented in its folder.

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Typical use cases

The datasets in this repository can be used for:

• immersive media strategy and concept development
• creative direction for fulldome and planetarium shows
• planning of immersive experiences and location-based entertainment
• mapping immersive venues, ecosystems and market segments
• investment screening and investor–destination matching
• soft-power and tourism strategy in immersive infrastructures
• curriculum and training design for immersive skills and creative roles
• policy analysis related to cultural infrastructure and innovation programs
• demographic and spatial analysis for catchment areas
• storytelling, whitepapers and research on immersive ecosystems
• data-driven pitch materials for destinations, venues and investors

Core thematic keywords include: immersive media, immersive experiences, creative director for immersive media, fulldome, planetariums, XR venues, location-based entertainment, experiential marketing, immersive storytelling, venue planning, market analysis, audience development, soft power, cultural strategy.

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Updating or adding datasets with git

1. Fork and clone

git clone https://github.com//immersive-datasets.git d cd immersive-datasets

(Optional) Add upstream:

git remote add upstream https://github.com//immersive-datasets.git

2. Create feature branch

git checkout -b feature/update-dataset-planetariums

3. Add or update the dataset

1. Place new or updated files under datasets/

2. Update documentation:

   • extend this README, and/or

   • update markdown files under meta/ with:

     • data sources
     • processing steps
     • field definitions
     • date and author
     • ontology reference

3. Stage changes:

git add datasets/ meta/.md

4. Commit

git commit -m "Update planetarium dataset with population and region fields"

5. Push

git push origin feature/update-dataset-planetariums

6. Pull request

Describe:

• what changed
• which dataset
• how it was generated or cleaned
• limitations
• ontology implications if applicable

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Citing this repository

Immersive Datasets by Martin Sambauer (martin-sambauer.com). Available at: https://github.com//immersive-datasets Licensed under CC BY 4.0.

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Contact

For questions or collaboration:

Website: https://martin-sambauer.com Email: listed on the website