
Large Language Model (LLM) Noise Data | Noise Complaints + Urban Noise Levels | CCPA, GDPR Compliant | 100% Traceable Consent
# | UTC_TIMESTAMP |
LOCATION |
SOURCE |
REPORTED_FEELING |
DEVICE_TYPE |
DEVICE_MODEL |
|||
---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx |
2 | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx |
3 | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx |
4 | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx |
5 | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx |
6 | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx |
7 | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
8 | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx |
9 | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx |
10 | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx |
... | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
UTC_TIMESTAMP
|
Integer | 1743966022147 | |
Float | 41.4302351590399 | Latitude | |
Float | 2.175329789093114 | Longitude | |
String | ES | Country Code Alpha-2 | |
LOCATION
|
String | Passeig de Fabra i Puig | |
SOURCE
|
String | traffic | |
REPORTED_FEELING
|
String | Uncomfortable | |
DEVICE_TYPE
|
String | iOS | |
DEVICE_MODEL
|
String | iPhone 14 Pro Max |
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
Country Coverage
History
Volume
160,000 | Records |
9 | Attributes |
Pricing
License | Starts at |
---|---|
One-off purchase |
$25,000$22,500 / purchase |
Monthly License |
$1,500$1,350 / month |
Yearly License |
$15,000$13,500 / year |
Usage-based | Not available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
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Frequently asked questions
What is Large Language Model (LLM) Noise Data Noise Complaints + Urban Noise Levels CCPA, GDPR Compliant 100% Traceable Consent?
Contains user-submitted noise complaints recorded via mobile devices. Each entry captures the time, location, type of noise source, and the emotional response reported by the user. Additional metadata includes device information used during the complaint submission.
What is Large Language Model (LLM) Noise Data Noise Complaints + Urban Noise Levels CCPA, GDPR Compliant 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 Map Data from Silencio Network to fuel their analytics and enrichment.
Who can use Large Language Model (LLM) Noise Data Noise Complaints + Urban Noise Levels CCPA, GDPR Compliant 100% Traceable Consent?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Map 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 Data Noise Complaints + Urban Noise Levels CCPA, GDPR Compliant 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 Data Noise Complaints + Urban Noise Levels CCPA, GDPR Compliant 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 Data Noise Complaints + Urban Noise Levels CCPA, GDPR Compliant 100% Traceable Consent cost?
Pricing for Large Language Model (LLM) Noise Data Noise Complaints + Urban Noise Levels CCPA, GDPR Compliant 100% Traceable Consent starts at USD1,500 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 Data Noise Complaints + Urban Noise Levels CCPA, GDPR Compliant 100% Traceable Consent?
Businesses can buy Map 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 Data Noise Complaints + Urban Noise Levels CCPA, GDPR Compliant 100% Traceable Consent?
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 Data Noise Complaints + Urban Noise Levels CCPA, GDPR Compliant 100% Traceable Consent?
This product has 3 related products. These alternatives include Large Language Model (LLM) Noise Level Data Noise Complaints CCPA, GDPR Compliant 160k 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 Map Data providers and products via Datarade’s data marketplace and get the right data for your use case.