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Large Language Model (LLM) Noise Level Data | 236 Countries Coverage | CCPA, GDPR Compliant | 35 B + Data Points | 100% Traceable Consent product image in hero

Large Language Model (LLM) Noise Level Data | 236 Countries Coverage | CCPA, GDPR Compliant | 35 B + Data Points | 100% Traceable Consent

Silencio Network
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UTC_TIMESTAMP
HORIZONTAL_ACCURACY
ID_TYPE
DBVALUE
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx
2 Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx
3 xxxxxx Xxxxx xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx Xxxxx
4 Xxxxxx xxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxx xxxxxxxxxx
5 xxxxxx Xxxxxxxxx xxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxxxxx Xxxxxx
6 Xxxxx xxxxxx xxxxxxx xxxxxxx Xxxxx xxxxxx Xxxxxxxxxx
7 xxxxxxxx xxxxxx Xxxxx Xxxxxxx xxxxxx Xxxxxxxx Xxxxxxx
8 Xxxxx xxxxxx xxxxxxxxxx Xxxxx xxxxxxxxxx xxxxxxxxx Xxxxxxx
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10 Xxxxxx Xxxxxxxxx xxxxx xxxxxxx xxxxxxxxx Xxxxxx Xxxxxxx
... Xxxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxx xxxxxxxx Xxxxxxx xxxxxxxxx
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Volume
35B
Data Points
Data Quality
95%
Precision
Avail. Formats
.json, .xml, and .csv
File
Coverage
236
Countries
History
2
years

Data Dictionary

[Sample] open_street_recording_sample (2).csv
Attribute Type Example Mapping
UTC_TIMESTAMP
String 1743485423360
HORIZONTAL_ACCURACY
Float 3.723680608948152
ID_TYPE
String iOS
Float -73.94148363183751 Longitude
Float 40.847686545176515 Latitude
DBVALUE
Float 70.3196740197304
String us Country Code Alpha-2
Product Attributes
Attribute Type Example Mapping
ad_id (hashed)
String "********..."
utc_timestamp
Integer 1588236832
horizontal_accuracy
Float 5
id_type
String "aaid"
ip_address (hashed)
String "********..."
longitude
Float -122.416601
latitude
Float 37.776801
dbvalue
Float 45.6
iso_country_code
String "us"

Description

Combines 10M+ hours of noise data with mobility and POI visitation data. Ideal for AI models combining environmental, mobility, and behavioral signals. CSV or S3 delivery.
Multi-Modal Dataset — Noise, Mobility & POI Visitation This dataset combines three critical data streams essential for training multi-modal AI models and powering urban intelligence applications: 1. Noise-Level Data • Over 10 million hours of measured and AI-interpolated noise-level data (dBA) collected globally. • Captures environmental noise intensity across streets, venues, and neighborhoods. • Enables AI models to learn real-world soundscapes, time patterns, and noise pollution dynamics. 2. Anonymized Mobility Patterns • Derived from 1M+ opted-in users, this data provides aggregated people movement information without exposing PII. • Tracks pedestrian and mobility flows, helping AI understand movement patterns, urban rhythms, and behavioral trends. 3. POI Visitation Data • Aggregated POI visitation data revealing how often users visit shops, restaurants, venues, and key locations. • Allows AI models to link human activity and visitation trends to both mobility and environmental conditions. Applications: This dataset is designed for cutting-edge AI use cases where real-world, multi-source information enhances model performance, including: • Multi-Modal AI Modeling Combine noise exposure, human mobility, and visitation data to train AI models that predict behavior, city dynamics, or urban livability. • Urban AI Simulations Train AI to generate, simulate, or improve urban digital twins, mobility predictions, and environmental condition models. • AI-Driven Smart City Solutions Power applications such as: • Autonomous mobility planning • Noise-aware routing • Infrastructure optimization • Dynamic OOH advertising placement • Sustainable urban development AI This dataset is ideal for academic labs, AI startups, simulation companies, and mobility or smart city platforms looking to develop AI models based on true urban dynamics. Data is fully anonymized, opt-in, GDPR-compliant, and available via CSV or S3. API under development.

Country Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (46)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
Cyprus
Georgia
Hong Kong
India
Indonesia
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (52)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Kosovo
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

History

2 years of historical data

Volume

10 million Hours
10 million POI measurements
1 million Sensors
35 billion Data Points

Pricing

10% discount if you buy via Datarade
Revenue share is available at 20%
License Starts at
One-off purchase
$5,000$4,500 / purchase
Monthly License
$2,500$2,250 / month
Yearly License
$20,000$18,000 / year
Usage-based Not available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
95%
Precision

Delivery

Methods
S3 Bucket
Email
Frequency
weekly
monthly
quarterly
yearly
Format
.json
.xml
.csv
.xls

Use Cases

Categories

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Frequently asked questions

What is Large Language Model (LLM) Noise Level Data 236 Countries Coverage CCPA, GDPR Compliant 35 B + Data Points 100% Traceable Consent?

Combines 10M+ hours of noise data with mobility and POI visitation data. Ideal for AI models combining environmental, mobility, and behavioral signals. CSV or S3 delivery.

What is Large Language Model (LLM) Noise Level Data 236 Countries Coverage CCPA, GDPR Compliant 35 B + Data Points 100% Traceable Consent used for?

This product has 5 key use cases. Silencio Network recommends using the data for Artificial Intelligence (AI), Machine Learning (ML), Predictive Modeling, Generative AI, and LLM Training. Global businesses and organizations buy Point of Interest (POI) Data from Silencio Network to fuel their analytics and enrichment.

Who can use Large Language Model (LLM) Noise Level Data 236 Countries Coverage CCPA, GDPR Compliant 35 B + Data Points 100% Traceable Consent?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Point of Interest (POI) Data. Get in touch with Silencio Network to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Large Language Model (LLM) Noise Level Data 236 Countries Coverage CCPA, GDPR Compliant 35 B + Data Points 100% Traceable Consent go?

This product has 2 years of historical coverage. It can be delivered on a weekly, monthly, quarterly, and yearly basis.

Which countries does Large Language Model (LLM) Noise Level Data 236 Countries Coverage CCPA, GDPR Compliant 35 B + Data Points 100% Traceable Consent cover?

This product includes data covering 236 countries like USA, Japan, Germany, India, and UK. Silencio Network is headquartered in United States of America.

How much does Large Language Model (LLM) Noise Level Data 236 Countries Coverage CCPA, GDPR Compliant 35 B + Data Points 100% Traceable Consent cost?

Pricing for Large Language Model (LLM) Noise Level Data 236 Countries Coverage CCPA, GDPR Compliant 35 B + Data Points 100% Traceable Consent starts at USD2,500 per month. Silencio Network offers a 10% discount when you buy data from them through Datarade. Connect with Silencio Network to get a quote and arrange custom pricing models based on your data requirements.

How can I get Large Language Model (LLM) Noise Level Data 236 Countries Coverage CCPA, GDPR Compliant 35 B + Data Points 100% Traceable Consent?

Businesses can buy Point of Interest (POI) Data from Silencio Network and get the data via S3 Bucket and Email. Depending on your data requirements and subscription budget, Silencio Network can deliver this product in .json, .xml, .csv, and .xls format.

What is the data quality of Large Language Model (LLM) Noise Level Data 236 Countries Coverage CCPA, GDPR Compliant 35 B + Data Points 100% Traceable Consent?

Silencio Network has reported that this product has the following quality and accuracy assurances: 95% Precision. You can compare and assess the data quality of Silencio Network using Datarade’s data marketplace.

What are similar products to Large Language Model (LLM) Noise Level Data 236 Countries Coverage CCPA, GDPR Compliant 35 B + Data Points 100% Traceable Consent?

This product has 3 related products. These alternatives include Large Language Model (LLM) Data 10 M Hours of Urban Noise Level Measurement CCPA, GDPR Compliant 35 B + Data Points 100% Traceable Consent, Large Language Model (LLM) Data Machine Learning (ML) Data AI Training Data (RAG) for 1M+ Global Grocery, Restaurant, and Retail Stores, and Machine Learning (ML) Data 800M+ B2B Profiles AI-Ready for Deep Learning (DL), NLP & LLM Training. You can compare the best Point of Interest (POI) Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at
$2,500$2,250 / month
License Starts at
One-off purchase
$5,000$4,500 / purchase
Monthly License
$2,500$2,250 / month
Yearly License
$20,000$18,000 / year
Usage-based Not available