Access to ICOS data objects hosted at https://data.icos-cp.eu
ICOS Carbon Portal Python Package
The Integrated Carbon Observation System, ICOS, is a European-wide greenhouse gas research infrastructure. ICOS produces standardised data on greenhouse gas concentrations in the atmosphere, as well as on carbon fluxes between the atmosphere, earth and oceans. This information is being used by scientists as well as by decision makers in predicting and mitigating climate change. The high-quality and open ICOS data is based on the measurements from over 130 stations across Europe. For more information about the ICOS station network, data quality control and assurance, and much more, please read the ICOS Handbook 2022, or visit our website https://www.icos-cp.eu/.
This package is under active development. Please be aware that changes to names of functions and classes are possible without further notice. Please do feedback any recommendations, issues, etc. if you try it out.
What is the package about? In essence this package allows you to have direct access to data objects from the ICOS CarbonPortal where a "Preview" is available. It is an easy access to data objects hosted at the ICOS Carbon Portal (https://data.icos-cp.eu/). By using this library you can load data files directly into memory.
Please be aware, that by either downloading data, or accessing data directly through this library, you agree and accept, that all ICOS data is provided under a CC BY 4.0 licence
The latest release is available on https://pypi.org/project/icoscp/. You can simply run
pip install icoscp
If you need the cutting edge version you may install the library directly from github with
pip install git+https://github.com/ICOS-Carbon-Portal/pylib.git
We would encourage you to use a virtual environment for python to test this library. For example with Miniconda you can create a new environment with:
conda create -n icos python
pip install icoscp
The full documentation about the library and all the modules are available at https://icos-carbon-portal.github.io/pylib/
For instructions about how to go about extending and testing this software, please see <development.md>
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