
Historical Weather Data | Temperature and Humidity | US and EU Sensor Coverage
# | 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 Historical Weather Data Temperature and Humidity US and EU Sensor Coverage?
Access accurate, first-party historical weather data for temperature and humidity across 20 countries. Sourced from 3,000+ sensors in the Ambios network, this dataset supports climate analysis, ESG reporting, infrastructure modeling, and academic research.
What is Historical Weather Data Temperature and Humidity US and EU Sensor Coverage 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 Air Quality Index Data from Ambios Network to fuel their analytics and enrichment.
Who can use Historical Weather Data Temperature and Humidity US and EU Sensor Coverage?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Air Quality Index 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 Historical Weather Data Temperature and Humidity US and EU Sensor Coverage 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 Historical Weather Data Temperature and Humidity US and EU Sensor Coverage 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 Historical Weather Data Temperature and Humidity US and EU Sensor Coverage cost?
Pricing information for Historical Weather Data Temperature and Humidity US and EU Sensor Coverage 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 Historical Weather Data Temperature and Humidity US and EU Sensor Coverage?
Businesses can buy Air Quality Index 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 Historical Weather Data Temperature and Humidity US and EU Sensor Coverage?
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 Historical Weather Data Temperature and Humidity US and EU Sensor Coverage?
This product has 3 related products. These alternatives include Air Quality Index Data Real-time and Historical AQI US and EU, CO, Humidity, NO₂, O₃, PM10, PM2.5, Temperature US & EU Coverage, CustomWeather API Historical Weather Data Climate Data Hourly And Daily 8,500 Global Weather Stations Archived Back To The 1940s, and Weather Source: OnPoint Historical Weather Data 2000 - Present Global Coverage, Hourly/ Daily Format. You can compare the best Air Quality Index Data providers and products via Datarade’s data marketplace and get the right data for your use case.