Ambience Data: Examples, Providers & Datasets to Buy
- Overview
- Datasets
- Use Cases
- Attributes
- FAQ
- Overview
- Datasets
- Use Cases
- Attributes
- FAQ
What Is Ambience Data?
Ambience data is a multidimensional dataset used to measure and analyze the sensory and experiential qualities of an environment. This can include light levels, noise intensity, thermal comfort, and more. In digital applications, ambience data can also be derived from user reviews, foot traffic analytics, social media content, or IoT devices.
Collected from physical sensors (light, temperature, noise), IoT platforms, smart building systems, or AI-driven sentiment analysis, ambience data helps businesses create optimal environments for human interaction, comfort, and productivity.
What Are Examples of Ambience Data?
Key examples of ambience data include:
- Light intensity (lux levels in interior or exterior spaces)
- Sound levels (dB readings for background noise or music)
- Temperature (ambient air temperature in °C or °F)
- Humidity and air quality (PM2.5, CO₂ levels, ventilation data)
- Crowd density (people count, dwell time, space occupancy)
- Foot traffic (volume and flow patterns)
Best Ambience Databases & Datasets
Here is our curated selection of top Ambience Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Worldwide enhanced F&B (restaurants, cafés, etc.) dataset, including metadata, social profiles, menus, reviews, pictures, and more.
Ambient Dataset for AI-Generated Music (Machine Learning (ML) Data)
Sound Level data to gauge foot traffic, popularity, ambiance and noise levels of venues
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Popular Use Cases for Ambience Data
Here are some of the popular use Cases for ambience data:
- Retail Optimization: Retailers use ambience data to adjust lighting, music, and scent to enhance the shopping experience and influence dwell time and conversion rates.
- Hospitality Experience Design: Hotels, spas, and restaurants adjust ambient factors like lighting, scent, and temperature to create comfortable, memorable guest experiences.
- Smart Office Environments: Monitor and optimize workplace ambience to increase employee comfort, reduce stress, and support productivity.
- Urban Planning & Public Spaces: Cities leverage ambience data to design inviting public areas, manage pedestrian flow, and assess livability.
- Real Estate Marketing: Ambience data helps position properties by highlighting neighborhood vibe, noise levels, or nearby amenities that contribute to quality of life.
Main Attributes of Ambience Data
When evaluating ambience datasets, expect the following attributes:
- Timestamped sensor data (for real-time or historical context)
- Location metadata (address, coordinates, or floor level)
- Environment variable types (light, noise, temp, etc.)
- Measurement units and intervals
- Source type (sensor, user review, IoT platform)
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 1 datasets | |
| String | The name of a brand. | View 1 datasets | |
| String | The name of a city. | View 1 datasets | |
| String | The name of a country. | View 1 datasets | |
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 1 datasets | |
| String | The latitude and longitude of a position. | View 1 datasets |
Frequently Asked Questions
How is the Quality of Ambience Data Maintained?
The quality of Ambience Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Ambience Data Updated?
The update frequency for Ambience Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Ambience Data Secure?
The security of Ambience Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Ambience Data Delivered?
Ambience Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Ambience Data.
How Much Does Ambience Data Cost?
The cost of Ambience Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Ambience Data for your needs.
What Are Similar Data Types to Ambience Data?
Ambience Data is similar to other data types, such as Geological Data, Surface Data, NDVI Data, Waste Data, and Natural Disaster Data. These related categories are often used together for applications like Smart City.
