
Environmental Risk Data | Real-time & Historical | US and EU
# | sensorId |
category |
deviceCode |
date |
co |
humidity |
no2 |
o3 |
pm10 |
pm2_5 |
temperature |
eu_aqi |
eu_pm25 |
eu_no2 |
eu_o3 |
eu_pm10 |
us_aqi |
us_pm25 |
us_no2 |
us_o3 |
us_pm10 |
latitude |
longitude |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx |
2 | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx |
3 | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx |
4 | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx |
5 | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx |
6 | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx |
7 | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx |
8 | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx |
9 | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx |
10 | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx |
... | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
sensorId
|
String | AIRQ_10008 | |
category
|
String | outdoor | |
deviceCode
|
String | AQ | |
date
|
DateTime | 2025-04-03T15:15:00+00:00 | |
co
|
Float | 0.25 | |
humidity
|
Integer | 71 | |
no2
|
Integer | 8 | |
o3
|
Float | 33.8 | |
pm10
|
Integer | 4 | |
pm2_5
|
Integer | 1 | |
temperature
|
Float | 12.5 | |
eu_aqi
|
Integer | 2 | |
eu_pm25
|
Integer | 1 | |
eu_no2
|
Integer | 1 | |
eu_o3
|
Integer | 2 | |
eu_pm10
|
Integer | 1 | |
us_aqi
|
Integer | 16 | |
us_pm25
|
Integer | 4 | |
us_no2
|
Integer | 4 | |
us_o3
|
Integer | 16 | |
us_pm10
|
Integer | 4 | |
latitude
|
Float | 36.082 | |
longitude
|
Float | -119.037 |
Description
Country Coverage
History
Volume
3,000 | Sensors |
15 | Minutes Refresh Rate |
7 | Variables |
4 | Years Historical |
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Environmental Risk Data Real-time & Historical US and EU?
Environmental risk insights powered by 100% first-party data from 3,000+ sensors across 20 countries. Covers 7 key environmental variables to support ESG reporting, climate risk modeling, and operational planning.
What is Environmental Risk Data Real-time & Historical US and EU used for?
This product has 5 key use cases. Ambios Network recommends using the data for Weather Forecasting, Weather Observation, Climate Change Analytics, ESG Performance Analysis, and ESG Risk Assessment. Global businesses and organizations buy Historical Weather Data from Ambios Network to fuel their analytics and enrichment.
Who can use Environmental Risk Data Real-time & Historical US and EU?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Historical Weather Data. Get in touch with Ambios 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 Environmental Risk Data Real-time & Historical US and EU go?
This product has 4 years of historical coverage. It can be delivered on a minutely, hourly, daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.
Which countries does Environmental Risk Data Real-time & Historical US and EU cover?
This product includes data covering 20 countries like USA, Germany, UK, France, and Italy. Ambios Network is headquartered in United States of America.
How much does Environmental Risk Data Real-time & Historical US and EU cost?
Pricing information for Environmental Risk Data Real-time & Historical US and EU is available by getting in contact with Ambios Network. Connect with Ambios Network to get a quote and arrange custom pricing models based on your data requirements.
How can I get Environmental Risk Data Real-time & Historical US and EU?
Businesses can buy Historical Weather Data from Ambios Network and get the data via S3 Bucket, Email, and REST API. Depending on your data requirements and subscription budget, Ambios Network can deliver this product in .json format.
What is the data quality of Environmental Risk Data Real-time & Historical US and EU?
Ambios Network has reported that this product has the following quality and accuracy assurances: 100% First Party Data. You can compare and assess the data quality of Ambios Network using Datarade’s data marketplace.
What are similar products to Environmental Risk Data Real-time & Historical US and EU?
This product has 3 related products. These alternatives include Global Weather Data Real-time & Historical US and EU Sensor Coverage, CustomWeather API Historical Weather Data Climate Data Hourly And Daily 8,500 Global Weather Stations Archived Back To The 1940s, and Environmental Risk Data USA Make More Informed Business Decisions Business Location Data Places Data. You can compare the best Historical Weather Data providers and products via Datarade’s data marketplace and get the right data for your use case.