Quantifying acoustic comfort (dB), photic natural illumination (lx), and human crowd density (pax/m²) across 64 cultural sanctuaries in Rome, Paris, London, Mexico City (CDMX), New York, and Miami. Designed as a public digital commons to steer human mobility away from tourism fatigue.
Machine-readable index across 6 global capitals paired with the 227-country Sensory Earth WebGL index. Evaluated under the WHO 53 dB environmental acoustic guideline.
Sensory sanctuary telemetry across 6 micro-acoustical cultural havens in Mexico City, including Coyoacán, Chapultepec Section 1, and San Ángel.
High-precision acoustic and crowd-density surveys for 30 cultural havens in Rome (Villa Borghese, Trastevere) and Paris (Place des Vosges, Jardin du Luxembourg).
Interactive browser-based WebGL explorer featuring real-time solar photic calculation, decibel meters, and Kairos flight routing vectors.
# 1. Load the Global Benchmark directly into Python
from datasets import load_dataset
dataset = load_dataset("spacejourney/global-sensory-impact-benchmark")
print(f"Loaded {len(dataset['train'])} sensory sanctuaries.")
# 2. Connect directly to the Model Context Protocol (MCP) Serverless Endpoint
curl -X POST "https://space-journey-engine.spacelab-mcp.workers.dev/mcp" \
-H "Content-Type: application/json" \
-d '{"jsonrpc": "2.0", "id": 1, "method": "tools/list", "params": {}}'