Atmosophere Carbon Dioxide Concentration API

API ID 895

Our API provides current and historical data on the concentration of carbon dioxide (CO2) in the atmosphere, updated on a quasi-daily basis. The data is presented as a mole fraction in dry air, measured in parts per million (ppm), and covers the period from 2010 to the present.

100% uptime 787 ms avg response

API Documentation

Endpoints

Request

Call this endpoint to retrieve the data from 2010 to the present. 

This API provides on a quasi-daily basis, the amount of carbon dioxide (CO2) in the atmosphere from 2010.01.01 to the present. It is expressed as a mole fraction in dry air, parts per million (ppm).

Endpoint ID: 698
GET https://zylalabs.com/api/895/atmosophere+carbon+dioxide+concentration+api/698/get+daily+carbon+dioxide+concentration
INPUT PARAMETERS

Free test requests remaining: 3 of 3.

This endpoint does not require any input parameters.

API EXAMPLE RESPONSE
JSON
{"co2":[{"year":"2013","month":"1","day":"20","cycle":"395.65","trend":"394.41"},{"year":"2013","month":"1","day":"21","cycle":"395.67","trend":"394.41"},{"year":"2013","month":"1","day":"22","cycle":"395.70","trend":"394.42"},{"year":"2013","month":"1","day":"23","cycle":"395.73","trend":"394.43"},{"year":"2013","month":"1","day":"24","cycle":"395.76","trend":"394.43"},{"year":"2013","month":"1","day":"25","cycle":"395.78","trend":"394.44"},{"year":"2013","month":"1","day":"26","cycle":"395.81","trend":"394.45"},{"year":"2013","month":"1","day":"27","cycle":"395.84","trend":"394.46"},{"year":"2013","month":"1","day":"28","cycle":"395.86","trend":"394.46"},{"year":"2013","month":"1","day":"29","cycle":"395.89","trend":"394.47"},{"year":"2013","month":"1","day":"30","cycle":"395.92","trend":"394.48"},{"year":"2013","month":"1","day":"31","cycle":"395.94","trend":"394.49"},{"year":"2013","month":"2","day":"1","cycle":"395.97","trend":"394.49"},{"year":"2013","month":"2","day":"2","cycle":"395.99","trend":"394.50"},{"year":"2013","month":"2","day":"3","cycle":"396.02","trend":"394.51"},{"year":"2013","month":"2","day":"4","cycle":"396.04","trend":"394.52"},{"year":"2013","month":"2","day":"5","cycle":"396.06","trend":"394.52"},{"year":"2013","month":"2","day":"6","cycle":"396.09","trend":"394.53"},{"year":"2013","month":"2","day":"7","cycle":"396.11","trend":"394.54"},{"year":"2013","month":"2","day":"8","cycle":"396.13","trend":"394.55"},{"year":"2013","month":"2","day":"9","cycle":"396.15","trend":"394.55"},{"year":"2013","month":"2","day":"10","cycle":"396.17","trend":"394.56"},{"year":"2013","month":"2","day":"11","cycle":"396.19","trend":"394.57"},{"year":"2013","month":"2","day":"12","cycle":"396.21","trend":"394.58"},{"year":"2013","month":"2","day":"13","cycle":"396.22","trend":"394.58"},{"year":"2013","month":"2","day":"14","cycle":"396.24","trend":"394.59"},{"year":"2013","month":"2","day":"15","cycle":"396.25","trend":"394.60"},{"year":"2013","month":"2","day":"16","cycle":"396.27","trend":"394.61"},{"year":"2013","month":"2","day":"17","cycle":"396.28","trend":"394.61"},{"year":"2013","month":"2","day":"18","cycle":"396.30","trend":"394.62"},{"year":"2013","month":"2","day":"19","cycle":"396.31","trend":"394.63"},{"year":"2013","month":"2","day":"20","cycle":"396.32","trend":"394.64"},{"year":"2013","month":"2","day":"21","cycle":"396.33","trend":"394.64"},{"year":"2013","month":"2","day":"22","cycle":"396.34","trend":"394.65"},{"year":"2013","month":"2","day":"23","cycle":"396.35","trend":"394.66"},{"year":"2013","month":"2","day":"24","cycle":"396.35","trend":"394.67"},{"year":"2013","month":"2","day":"25","cycle":"396.36","trend":"394.67"},{"year":"2013","month":"2","day":"26","cycle":"396.37","trend":"394.68"},{"year":"2013","month":"2","day":"27","cycle":"396.37","trend":"394.69"},{"year":"2013","month":"2","day":"28","cycle":"396.38","trend":"394.69"},{"year":"2013","month":"3","day":"1","cycle":"396.38","trend":"394.70"},{"year":"2013","month":"3","day":"2","cycle":"396.39","trend":"394.71"},{"year":"2013","month":"3","day":"3","cycle":"396.39","trend":"394.72"},{"year":"2013","month":"3","day":"4","cycle":"396.39","trend":"394.72"},{"year":"2013","month":"3","day":"5","cycle":"396.40","trend":"394.73"},{"year":"2013","month":"3","day":"6","cycle":"396.40","trend":"394.74"},{"year":"2013","month":"3","day":"7","cycle":"396.40","trend":"394.75"},{"year":"2013","month":"3","day":"8","cycle":"396.40","trend":"394.75"},{"year":"2013","month":"3","day":"9","cycle":"396.41","trend":"394.76"},{"year":"2013","month":"3","day":"10","cycle":"396.41","trend":"394.77"},{"year":"2013","month":"3","day":"11","cycle":"396.41","trend":"394.78"},{"year":"2013","month":"3","day":"12","cycle":"396.41","trend":"394.78"},{"year":"2013","month":"3","day":"13","cycle":"396.41","trend":"394.79"},{"year":"2013","month":"3","day":"14","cycle":"396.42","trend":"394.80"},{"year":"2013","month":"3","day":"15","cycle":"396.42","trend":"394.81"},{"year":"2013","month":"3","day":"16","cycle":"396.42","trend":"394.81"},{"year":"2013","month":"3","day":"17","cycle":"396.43","trend":"394.82"},{"year":"2013","month":"3","day":"18","cycle":"396.43","trend":"394.83"},{"year":"2013","month":"3","day":"19","cycle":"396.44","trend":"394.83"},{"year":"2013","month":"3","day":"20","cycle":"396.44","trend":"394.84"},{"year":"2013","month":"3","day":"21","cycle":"396.45","trend":"394.85"},{"year":"2013","month":"3","day":"22","cycle":"396.45","trend":"394.86"},{"year":"2013","month":"3","day":"23","cycle":"396.46","trend":"394.86"},{"year":"2013","month":"3","day":"24","cycle":"396.47","trend":"394.87"},{"year":"2013","month":"3","day":"25","cycle":"396.48","trend":"394.88"},{"year":"2013","month":"3","day":"26","cycle":"396.49","trend":"394.89"},{"year":"2013","month":"3","day":"27","cycle":"396.50","trend":"394.89"},{"year":"2013","month":"3","day":"28","cycle":"396.51","trend":"394.90"},{"year":"2013","month":"3","day":"29","cycle":"396.53","trend":"394.91"},{"year":"2013","month":"3","day":"30","cycle":"396.54","trend":"394.92"},{"year":"2013","month":"3","day":"31","cycle":"396.56","trend":"394.92"},{"year":"2013","month":"4","day":"1","cycle":"396.57","trend":"394.93"},{"year":"2013","month":"4","day":"2","cycle":"396.59","trend":"394.94"},{"year":"2013","month":"4","day":"3","cycle":"396.61","trend":"394.94"},{"year":"2013","month":"4","day":"4","cycle":"396.63","trend":"394.95"},{"year":"2013","month":"4","day":"5","cycle":"396.65","trend":"394.96"},{"year":"2013","month":"4","day":"6","cycle":"396.67","trend":"394.97"},{"year":"2013","month":"4","day":"7","cycle":"396.69","trend":"394.97"},{"year":"2013","month":"4","day":"8","cycle":"396.72","trend":"394.98"},{"year":"2013","month":"4","day":"9","cycle":"396.74","trend":"394.99"},{"year":"2013","month":"4","day":"10","cycle":"396.76","trend":"395.00"},{"year":"2013","month":"4","day":"11","cycle":"396.79","trend":"395.00"},{"year":"2013","month":"4","day":"12","cycle":"396.82","trend":"395.01"},{"year":"2013","month":"4","day":"13","cycle":"396.84","trend":"395.02"},{"year":"2013","month":"4","day":"14","cycle":"396.87","trend":"395.02"},{"year":"2013","month":"4","day":"15","cycle":"396.90","trend":"395.03"},{"year":"2013","month":"4","day":"16","cycle":"396.93","trend":"395.04"},{"year":"2013","month":"4","day":"17","cycle":"396.96","trend":"395.05"},{"year":"2013","month":"4","day":"18","cycle":"396.99","trend":"395.05"},{"year":"2013","month":"4","day":"19","cycle":"397.02","trend":"395.06"},{"year":"2013","month":"4","day":"20","cycle":"397.05","trend":"395.07"},{"year":"2013","month":"4","day":"21","cycle":"397.08","trend":"395.07"},{"year":"2013","month":"4","day":"22","cycle":"397.11","trend":"395.08"},{"year":"2013","month":"4","day":"23","cycle":"397.14","trend":"395.09"},{"year":"2013","month":"4","day":"24","cycle":"397.17","trend":"395.10"},{"year":"2013","month":"4","day":"25","cycle":"397.19","trend":"395.10"},{"year":"2013","month":"4","day":"26","cycle":"397.22","trend":"395.11"},{"year":"2013","month":"4","day":"27","cycle":"397.25","trend":"395.12"},{"year":"2013","month":"4","day":"28","cycle":"397.28","trend":"395.13"},{"year":"2013","month":"4","day":"29","cycle":"397.30","trend":"395.13"},{"year":"2013","month":"4","day":"30","cycle":"397.33","trend":"395.14"},{"year":"2013","month":"5","day":"1","cycle":"397.35","trend":"395.15"},{"year":"2013","month":"5","day":"2","cycle":"397.38","trend":"395.15"},{"year":"2013","month":"5","day":"3","cycle":"397.40","trend":"395.16"},{"year":"2013","month":"5","day":"4","cycle":"397.42","trend":"395.17"},{"year":"2013","month":"5","day":"5","cycle":"397.44","trend":"395.18"},{"year":"2013","month":"5","day":"6","cycle":"397.46","trend":"395.18"},{"year":"2013","month":"5","day":"7","cycle":"397.48","trend":"395.19"},{"year":"2013","month":"5","day":"8","cycle":"397.49","trend":"395.20"},{"year":"2013","month":"5","day":"9","cycle":"397.50","trend":"395.20"},{"year":"2013","month":"5","day":"10","cycle":"397.52","trend":"395.21"},{"year":"2013","month":"5","day":"11","cycle":"397.53","trend":"395.22"},{"year":"2013","month":"5","day":"12","cycle":"397.53","trend":"395.22"},{"year":"2013","month":"5","day":"13","cycle":"397.54","trend":"395.23"},{"year":"2013","month":"5","day":"14","cycle":"397.54","trend":"395.24"},{"year":"2013","month":"5","day":"15","cycle":"397.54","trend":"395.25"},{"year":"2013","month":"5","day":"16","cycle":"397.54","trend":"395.25"},{"year":"2013","month":"5","day":"17","cycle":"397.54","trend":"395.26"},{"year":"2013","month":"5","day":"18","cycle":"397.54","trend":"395.27"},{"year":"2013","month":"5","day":"19","cycle":"397.53","trend":"395.27"},{"year":"2013","month":"5","day":"20","cycle":"397.52","trend":"395.28"},{"year":"2013","month":"5","day":"21","cycle":"397.51","trend":"395.29"},{"year":"2013","month":"5","day":"22","cycle":"397.49","trend":"395.30"},{"year":"2013","month":"5","day":"23","cycle":"397.48","trend":"395.30"},{"year":"2013","month":"5","day":"24","cycle":"397.46","trend":"395.31"},{"year":"2013","month":"5","day":"25","cycle":"397.43","trend":"395.32"},{"year":"2013","month":"5","day":"26","cycle":"397.41","trend":"395.32"},{"year":"2013","month":"5","day":"27","cycle":"397.38","trend":"395.33"},{"year":"2013","month":"5","day":"28","cycle":"397.35","trend":"395.34"},{"year":"2013","month":"5","day":"29","cycle":"397.32","trend":"395.34"},{"year":"2013","month":"5","day":"30","cycle":"397.29","trend":"395.35"},{"year":"2013","month":"5","day":"31","cycle":"397.25","trend":"395.36"},{"year":"2013","month":"6","day":"1","cycle":"397.22","trend":"395.37"},{"year":"2013","month":"6","day":"2","cycle":"397.18","trend":"395.37"},{"year":"2013","month":"6","day":"3","cycle":"397.13","trend":"395.38"},{"year":"2013","month":"6","day":"4","cycle":"397.09","trend":"395.39"},{"year":"2013","month":"6","day":"5","cycle":"397.04","trend":"395.39"},{"year":"2013","month":"6"}],"_note":"Response truncated for documentation purposes"}
Get Daily Carbon Dioxide Concentration — CODE SNIPPETS

curl --location --request GET 'https://zylalabs.com/api/895/atmosophere+carbon+dioxide+concentration+api/698/get+daily+carbon+dioxide+concentration' --header 'Authorization: Bearer YOUR_API_KEY' 


    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Atmosophere Carbon Dioxide Concentration API simply include your bearer token in the Authorization header.

Headers
Header Description
Authorization Required Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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Overview

About the API:

 

Our Atmosphere Carbon Dioxide Concentration API provides current and historical data on the concentration of carbon dioxide (CO2) in the Earth's atmosphere. The data is updated on a quasi-daily basis and is presented as a mole fraction in dry air, measured in parts per million (ppm). The API covers the period from 2010 to the present.

This API is a valuable resource for researchers and organizations working on climate and environmental issues. It can be used to track changes in atmospheric CO2 levels over time and to understand the factors that contribute to these changes. Try it out today and help make a difference for our planet.

 

What this API receives and what your API provides (input/output)?

Call the endpoint and receive all the data from 2010 to the present, updated daily. 

 

What are the most common uses cases of this API?

  1. A research project studying the effects of atmospheric CO2 on global temperatures.
  2. An environmental non-profit organization tracking CO2 emissions and advocating for reduction measures.
  3. A government agency monitoring atmospheric CO2 levels and enforcing emissions regulations.
  4. A news outlet reporting on climate change and the role of CO2 emissions.
  5. A company developing carbon capture technologies.
  6. A university course on climate science using the API as a learning resource.

 

Are there any limitations to your plans?

Besides API call limitations per month, there are no other limitations. 

Atmosophere Carbon Dioxide Concentration API FAQs

The API returns historical and current data on carbon dioxide (CO2) concentrations in the atmosphere, expressed as a mole fraction in dry air, measured in parts per million (ppm).

The response data includes fields such as "year," "month," "day," "cycle," and "trend." "Cycle" represents the daily CO2 concentration, while "trend" indicates the long-term average for that date.

The response data is structured as a JSON object containing an array of CO2 measurements. Each measurement is an object with fields for year, month, day, cycle, and trend, allowing for easy parsing and analysis.

The endpoint provides daily CO2 concentration data from January 1, 2010, to the present, including both the daily cycle values and the corresponding trend values for each date.

The data is sourced from atmospheric monitoring stations and research institutions that measure CO2 levels, ensuring a reliable and scientifically validated dataset.

Data accuracy is maintained through rigorous calibration of measurement instruments, regular updates from trusted sources, and validation against historical records to ensure consistency.

Typical use cases include climate research, environmental monitoring, policy advocacy, educational purposes, and development of carbon capture technologies, allowing users to analyze trends and impacts of CO2 levels.

Users can analyze the daily and trend values to study CO2 concentration patterns over time, correlate them with climate events, and visualize changes using data analysis tools or software for deeper insights.

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